设置成功!
注意：
1. 仅限学术用途和加速访问github/huggingface，不承诺稳定性
2. 开启加速后对访问其他资源如pip源等会*更慢*
[2026-06-27 18:01:05,220] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2026-06-27 18:01:07,944] [WARNING] [runner.py:215:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only.
Detected VISIBLE_DEVICES=0 but ignoring it because one or several of --include/--exclude/--num_gpus/--num_nodes cl args were used. If you want to use CUDA_VISIBLE_DEVICES don't pass any of these arguments to deepspeed.
[2026-06-27 18:01:07,944] [INFO] [runner.py:607:main] cmd = /root/miniconda3/bin/python -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMF19 --master_addr=127.0.0.1 --master_port=22813 --enable_each_rank_log=None src/training/train.py --use_liger True --lora_enable True --vision_lora True --use_dora False --lora_namespan_exclude ["embed_tokens", "lm_head", "dino", "sam", "depth", "SD", "internvit", "pidinet", "siglip", "metaclip"] --lora_rank 16 --lora_alpha 32 --lora_dropout 0.01 --num_lora_modules -1 --model_id /root/autodl-tmp/covt_repro/covt_data/output/merged/stage1_merged --model_path /root/autodl-tmp/covt_repro/covt_data/output/merged/stage1_merged --anchor_model_id ["sam", "depth", "dino"] --data_path /root/autodl-tmp/covt_repro/covt_data/dataset/CoVT-Dataset --image_folder /root/autodl-tmp/covt_repro/covt_data/dataset/CoVT-Dataset --remove_unused_columns False --freeze_vision_tower True --freeze_llm True --tune_merger False --bf16 True --fp16 False --disable_flash_attn2 False --output_dir /root/autodl-tmp/covt_repro/covt_data/output/lora_stage234 --resume_from_checkpoint True --max_steps 10000 --per_device_train_batch_size 4 --gradient_accumulation_steps 2 --image_min_pixels 200704 --image_max_pixels 802816 --image_resized_width 448 --image_resized_height 448 --learning_rate 5e-5 --projection_layer_lr 1e-5 --weight_decay 0.1 --warmup_ratio 0.05 --lr_scheduler_type cosine --logging_steps 1 --tf32 True --gradient_checkpointing True --lazy_preprocess True --save_strategy steps --save_steps 1000 --dataloader_num_workers 0 --deepspeed /root/autodl-tmp/covt_repro/scripts/zero2_pro6000.json --report_to tensorboard --run_name sft_phase2 --training_stage full --stage_0_step 0 --stage_1_step 24000 --stage_2_step 48000 --vqa_only_stage 16000
[2026-06-27 18:01:09,158] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2026-06-27 18:01:11,746] [INFO] [launch.py:146:main] WORLD INFO DICT: {'localhost': [0]}
[2026-06-27 18:01:11,746] [INFO] [launch.py:152:main] nnodes=1, num_local_procs=1, node_rank=0
[2026-06-27 18:01:11,746] [INFO] [launch.py:163:main] global_rank_mapping=defaultdict(<class 'list'>, {'localhost': [0]})
[2026-06-27 18:01:11,746] [INFO] [launch.py:164:main] dist_world_size=1
[2026-06-27 18:01:11,746] [INFO] [launch.py:168:main] Setting CUDA_VISIBLE_DEVICES=0
[2026-06-27 18:01:11,747] [INFO] [launch.py:256:main] process 2010 spawned with command: ['/root/miniconda3/bin/python', '-u', 'src/training/train.py', '--local_rank=0', '--use_liger', 'True', '--lora_enable', 'True', '--vision_lora', 'True', '--use_dora', 'False', '--lora_namespan_exclude', '["embed_tokens", "lm_head", "dino", "sam", "depth", "SD", "internvit", "pidinet", "siglip", "metaclip"]', '--lora_rank', '16', '--lora_alpha', '32', '--lora_dropout', '0.01', '--num_lora_modules', '-1', '--model_id', '/root/autodl-tmp/covt_repro/covt_data/output/merged/stage1_merged', '--model_path', '/root/autodl-tmp/covt_repro/covt_data/output/merged/stage1_merged', '--anchor_model_id', '["sam", "depth", "dino"]', '--data_path', '/root/autodl-tmp/covt_repro/covt_data/dataset/CoVT-Dataset', '--image_folder', '/root/autodl-tmp/covt_repro/covt_data/dataset/CoVT-Dataset', '--remove_unused_columns', 'False', '--freeze_vision_tower', 'True', '--freeze_llm', 'True', '--tune_merger', 'False', '--bf16', 'True', '--fp16', 'False', '--disable_flash_attn2', 'False', '--output_dir', '/root/autodl-tmp/covt_repro/covt_data/output/lora_stage234', '--resume_from_checkpoint', 'True', '--max_steps', '10000', '--per_device_train_batch_size', '4', '--gradient_accumulation_steps', '2', '--image_min_pixels', '200704', '--image_max_pixels', '802816', '--image_resized_width', '448', '--image_resized_height', '448', '--learning_rate', '5e-5', '--projection_layer_lr', '1e-5', '--weight_decay', '0.1', '--warmup_ratio', '0.05', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'True', '--gradient_checkpointing', 'True', '--lazy_preprocess', 'True', '--save_strategy', 'steps', '--save_steps', '1000', '--dataloader_num_workers', '0', '--deepspeed', '/root/autodl-tmp/covt_repro/scripts/zero2_pro6000.json', '--report_to', 'tensorboard', '--run_name', 'sft_phase2', '--training_stage', 'full', '--stage_0_step', '0', '--stage_1_step', '24000', '--stage_2_step', '48000', '--vqa_only_stage', '16000']
[2026-06-27 18:01:15,104] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect)
xFormers not available
xFormers not available
/root/miniconda3/lib/python3.12/site-packages/diffusers/models/transformers/transformer_2d.py:34: FutureWarning: `Transformer2DModelOutput` is deprecated and will be removed in version 1.0.0. Importing `Transformer2DModelOutput` from `diffusers.models.transformer_2d` is deprecated and this will be removed in a future version. Please use `from diffusers.models.modeling_outputs import Transformer2DModelOutput`, instead.
  deprecate("Transformer2DModelOutput", "1.0.0", deprecation_message)
[2026-06-27 18:01:16,952] [INFO] [comm.py:652:init_distributed] cdb=None
[2026-06-27 18:01:16,952] [INFO] [comm.py:683:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`.

Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
Loading checkpoint shards:  25%|██▌       | 1/4 [00:08<00:24,  8.14s/it]
Loading checkpoint shards:  50%|█████     | 2/4 [00:13<00:12,  6.50s/it]
Loading checkpoint shards:  75%|███████▌  | 3/4 [00:19<00:06,  6.21s/it]
Loading checkpoint shards: 100%|██████████| 4/4 [00:21<00:00,  4.48s/it]
Loading checkpoint shards: 100%|██████████| 4/4 [00:21<00:00,  5.30s/it]
Some weights of CoVTForConditionalGeneration were not initialized from the model checkpoint at /root/autodl-tmp/covt_repro/covt_data/output/merged/stage1_merged and are newly initialized: ['SD_cross_attention.in_proj_bias', 'SD_cross_attention.in_proj_weight', 'SD_cross_attention.out_proj.bias', 'SD_cross_attention.out_proj.weight', 'SD_projection.bias', 'SD_projection.weight', 'SD_query_vectors', 'depth_cross_attention.in_proj_bias', 'depth_cross_attention.in_proj_weight', 'depth_cross_attention.out_proj.bias', 'depth_cross_attention.out_proj.weight', 'depth_projection.bias', 'depth_projection.weight', 'depth_query_vectors', 'depth_token_generator.0.bias', 'depth_token_generator.0.weight', 'depth_token_generator.2.bias', 'depth_token_generator.2.weight', 'dino_cross_attention.in_proj_bias', 'dino_cross_attention.in_proj_weight', 'dino_cross_attention.out_proj.bias', 'dino_cross_attention.out_proj.weight', 'dino_projection.bias', 'dino_projection.weight', 'dino_query_vectors', 'internvit_cross_attention.in_proj_bias', 'internvit_cross_attention.in_proj_weight', 'internvit_cross_attention.out_proj.bias', 'internvit_cross_attention.out_proj.weight', 'internvit_projection.bias', 'internvit_projection.weight', 'internvit_query_vectors', 'metaclip_cross_attention.in_proj_bias', 'metaclip_cross_attention.in_proj_weight', 'metaclip_cross_attention.out_proj.bias', 'metaclip_cross_attention.out_proj.weight', 'metaclip_projection.bias', 'metaclip_projection.weight', 'metaclip_query_vectors', 'pidinet_cross_attention.in_proj_bias', 'pidinet_cross_attention.in_proj_weight', 'pidinet_cross_attention.out_proj.bias', 'pidinet_cross_attention.out_proj.weight', 'pidinet_projection.bias', 'pidinet_projection.weight', 'pidinet_query_vectors', 'sam_cross_attention.in_proj_bias', 'sam_cross_attention.in_proj_weight', 'sam_cross_attention.out_proj.bias', 'sam_cross_attention.out_proj.weight', 'sam_projection.bias', 'sam_projection.weight', 'sam_query_vectors', 'siglip_cross_attention.in_proj_bias', 'siglip_cross_attention.in_proj_weight', 'siglip_cross_attention.out_proj.bias', 'siglip_cross_attention.out_proj.weight', 'siglip_projection.bias', 'siglip_projection.weight', 'siglip_query_vectors']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
Using cache found in /root/.cache/torch/hub/facebookresearch_dinov2_main
/root/.cache/torch/hub/facebookresearch_dinov2_main/dinov2/layers/swiglu_ffn.py:51: UserWarning: xFormers is not available (SwiGLU)
  warnings.warn("xFormers is not available (SwiGLU)")
/root/.cache/torch/hub/facebookresearch_dinov2_main/dinov2/layers/attention.py:33: UserWarning: xFormers is not available (Attention)
  warnings.warn("xFormers is not available (Attention)")
/root/.cache/torch/hub/facebookresearch_dinov2_main/dinov2/layers/block.py:40: UserWarning: xFormers is not available (Block)
  warnings.warn("xFormers is not available (Block)")
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
Found 358 lora modules: ['visual.blocks.0.attn.qkv', 'visual.blocks.0.attn.proj', 'visual.blocks.0.mlp.gate_proj', 'visual.blocks.0.mlp.up_proj', 'visual.blocks.0.mlp.down_proj', 'visual.blocks.1.attn.qkv', 'visual.blocks.1.attn.proj', 'visual.blocks.1.mlp.gate_proj', 'visual.blocks.1.mlp.up_proj', 'visual.blocks.1.mlp.down_proj', 'visual.blocks.2.attn.qkv', 'visual.blocks.2.attn.proj', 'visual.blocks.2.mlp.gate_proj', 'visual.blocks.2.mlp.up_proj', 'visual.blocks.2.mlp.down_proj', 'visual.blocks.3.attn.qkv', 'visual.blocks.3.attn.proj', 'visual.blocks.3.mlp.gate_proj', 'visual.blocks.3.mlp.up_proj', 'visual.blocks.3.mlp.down_proj', 'visual.blocks.4.attn.qkv', 'visual.blocks.4.attn.proj', 'visual.blocks.4.mlp.gate_proj', 'visual.blocks.4.mlp.up_proj', 'visual.blocks.4.mlp.down_proj', 'visual.blocks.5.attn.qkv', 'visual.blocks.5.attn.proj', 'visual.blocks.5.mlp.gate_proj', 'visual.blocks.5.mlp.up_proj', 'visual.blocks.5.mlp.down_proj', 'visual.blocks.6.attn.qkv', 'visual.blocks.6.attn.proj', 'visual.blocks.6.mlp.gate_proj', 'visual.blocks.6.mlp.up_proj', 'visual.blocks.6.mlp.down_proj', 'visual.blocks.7.attn.qkv', 'visual.blocks.7.attn.proj', 'visual.blocks.7.mlp.gate_proj', 'visual.blocks.7.mlp.up_proj', 'visual.blocks.7.mlp.down_proj', 'visual.blocks.8.attn.qkv', 'visual.blocks.8.attn.proj', 'visual.blocks.8.mlp.gate_proj', 'visual.blocks.8.mlp.up_proj', 'visual.blocks.8.mlp.down_proj', 'visual.blocks.9.attn.qkv', 'visual.blocks.9.attn.proj', 'visual.blocks.9.mlp.gate_proj', 'visual.blocks.9.mlp.up_proj', 'visual.blocks.9.mlp.down_proj', 'visual.blocks.10.attn.qkv', 'visual.blocks.10.attn.proj', 'visual.blocks.10.mlp.gate_proj', 'visual.blocks.10.mlp.up_proj', 'visual.blocks.10.mlp.down_proj', 'visual.blocks.11.attn.qkv', 'visual.blocks.11.attn.proj', 'visual.blocks.11.mlp.gate_proj', 'visual.blocks.11.mlp.up_proj', 'visual.blocks.11.mlp.down_proj', 'visual.blocks.12.attn.qkv', 'visual.blocks.12.attn.proj', 'visual.blocks.12.mlp.gate_proj', 'visual.blocks.12.mlp.up_proj', 'visual.blocks.12.mlp.down_proj', 'visual.blocks.13.attn.qkv', 'visual.blocks.13.attn.proj', 'visual.blocks.13.mlp.gate_proj', 'visual.blocks.13.mlp.up_proj', 'visual.blocks.13.mlp.down_proj', 'visual.blocks.14.attn.qkv', 'visual.blocks.14.attn.proj', 'visual.blocks.14.mlp.gate_proj', 'visual.blocks.14.mlp.up_proj', 'visual.blocks.14.mlp.down_proj', 'visual.blocks.15.attn.qkv', 'visual.blocks.15.attn.proj', 'visual.blocks.15.mlp.gate_proj', 'visual.blocks.15.mlp.up_proj', 'visual.blocks.15.mlp.down_proj', 'visual.blocks.16.attn.qkv', 'visual.blocks.16.attn.proj', 'visual.blocks.16.mlp.gate_proj', 'visual.blocks.16.mlp.up_proj', 'visual.blocks.16.mlp.down_proj', 'visual.blocks.17.attn.qkv', 'visual.blocks.17.attn.proj', 'visual.blocks.17.mlp.gate_proj', 'visual.blocks.17.mlp.up_proj', 'visual.blocks.17.mlp.down_proj', 'visual.blocks.18.attn.qkv', 'visual.blocks.18.attn.proj', 'visual.blocks.18.mlp.gate_proj', 'visual.blocks.18.mlp.up_proj', 'visual.blocks.18.mlp.down_proj', 'visual.blocks.19.attn.qkv', 'visual.blocks.19.attn.proj', 'visual.blocks.19.mlp.gate_proj', 'visual.blocks.19.mlp.up_proj', 'visual.blocks.19.mlp.down_proj', 'visual.blocks.20.attn.qkv', 'visual.blocks.20.attn.proj', 'visual.blocks.20.mlp.gate_proj', 'visual.blocks.20.mlp.up_proj', 'visual.blocks.20.mlp.down_proj', 'visual.blocks.21.attn.qkv', 'visual.blocks.21.attn.proj', 'visual.blocks.21.mlp.gate_proj', 'visual.blocks.21.mlp.up_proj', 'visual.blocks.21.mlp.down_proj', 'visual.blocks.22.attn.qkv', 'visual.blocks.22.attn.proj', 'visual.blocks.22.mlp.gate_proj', 'visual.blocks.22.mlp.up_proj', 'visual.blocks.22.mlp.down_proj', 'visual.blocks.23.attn.qkv', 'visual.blocks.23.attn.proj', 'visual.blocks.23.mlp.gate_proj', 'visual.blocks.23.mlp.up_proj', 'visual.blocks.23.mlp.down_proj', 'visual.blocks.24.attn.qkv', 'visual.blocks.24.attn.proj', 'visual.blocks.24.mlp.gate_proj', 'visual.blocks.24.mlp.up_proj', 'visual.blocks.24.mlp.down_proj', 'visual.blocks.25.attn.qkv', 'visual.blocks.25.attn.proj', 'visual.blocks.25.mlp.gate_proj', 'visual.blocks.25.mlp.up_proj', 'visual.blocks.25.mlp.down_proj', 'visual.blocks.26.attn.qkv', 'visual.blocks.26.attn.proj', 'visual.blocks.26.mlp.gate_proj', 'visual.blocks.26.mlp.up_proj', 'visual.blocks.26.mlp.down_proj', 'visual.blocks.27.attn.qkv', 'visual.blocks.27.attn.proj', 'visual.blocks.27.mlp.gate_proj', 'visual.blocks.27.mlp.up_proj', 'visual.blocks.27.mlp.down_proj', 'visual.blocks.28.attn.qkv', 'visual.blocks.28.attn.proj', 'visual.blocks.28.mlp.gate_proj', 'visual.blocks.28.mlp.up_proj', 'visual.blocks.28.mlp.down_proj', 'visual.blocks.29.attn.qkv', 'visual.blocks.29.attn.proj', 'visual.blocks.29.mlp.gate_proj', 'visual.blocks.29.mlp.up_proj', 'visual.blocks.29.mlp.down_proj', 'visual.blocks.30.attn.qkv', 'visual.blocks.30.attn.proj', 'visual.blocks.30.mlp.gate_proj', 'visual.blocks.30.mlp.up_proj', 'visual.blocks.30.mlp.down_proj', 'visual.blocks.31.attn.qkv', 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'model.layers.20.self_attn.q_proj', 'model.layers.20.self_attn.k_proj', 'model.layers.20.self_attn.v_proj', 'model.layers.20.self_attn.o_proj', 'model.layers.20.mlp.gate_proj', 'model.layers.20.mlp.up_proj', 'model.layers.20.mlp.down_proj', 'model.layers.21.self_attn.q_proj', 'model.layers.21.self_attn.k_proj', 'model.layers.21.self_attn.v_proj', 'model.layers.21.self_attn.o_proj', 'model.layers.21.mlp.gate_proj', 'model.layers.21.mlp.up_proj', 'model.layers.21.mlp.down_proj', 'model.layers.22.self_attn.q_proj', 'model.layers.22.self_attn.k_proj', 'model.layers.22.self_attn.v_proj', 'model.layers.22.self_attn.o_proj', 'model.layers.22.mlp.gate_proj', 'model.layers.22.mlp.up_proj', 'model.layers.22.mlp.down_proj', 'model.layers.23.self_attn.q_proj', 'model.layers.23.self_attn.k_proj', 'model.layers.23.self_attn.v_proj', 'model.layers.23.self_attn.o_proj', 'model.layers.23.mlp.gate_proj', 'model.layers.23.mlp.up_proj', 'model.layers.23.mlp.down_proj', 'model.layers.24.self_attn.q_proj', 'model.layers.24.self_attn.k_proj', 'model.layers.24.self_attn.v_proj', 'model.layers.24.self_attn.o_proj', 'model.layers.24.mlp.gate_proj', 'model.layers.24.mlp.up_proj', 'model.layers.24.mlp.down_proj', 'model.layers.25.self_attn.q_proj', 'model.layers.25.self_attn.k_proj', 'model.layers.25.self_attn.v_proj', 'model.layers.25.self_attn.o_proj', 'model.layers.25.mlp.gate_proj', 'model.layers.25.mlp.up_proj', 'model.layers.25.mlp.down_proj', 'model.layers.26.self_attn.q_proj', 'model.layers.26.self_attn.k_proj', 'model.layers.26.self_attn.v_proj', 'model.layers.26.self_attn.o_proj', 'model.layers.26.mlp.gate_proj', 'model.layers.26.mlp.up_proj', 'model.layers.26.mlp.down_proj', 'model.layers.27.self_attn.q_proj', 'model.layers.27.self_attn.k_proj', 'model.layers.27.self_attn.v_proj', 'model.layers.27.self_attn.o_proj', 'model.layers.27.mlp.gate_proj', 'model.layers.27.mlp.up_proj', 'model.layers.27.mlp.down_proj']
Adding LoRA to the model...
[DataLoader] Found 81 parquet files (streaming mode)
[DataLoader] Total parquet rows: 889489
No label_names provided for model class `PeftModel`. Since `PeftModel` hides base models input arguments, if label_names is not given, label_names can't be set automatically within `Trainer`. Note that empty label_names list will be used instead.
[RANK 0] Gradient accumulation steps mismatch: GradientAccumulationPlugin has 1, DeepSpeed config has 2. Using DeepSpeed's value.
[Optimizer] AdamW
  - group 0: lr=5e-05, betas=(0.9, 0.999), eps=1e-08, weight_decay=0.1
  - group 1: lr=1e-05, betas=(0.9, 0.999), eps=1e-08, weight_decay=0.1
  - group 2: lr=5e-05, betas=(0.9, 0.999), eps=1e-08, weight_decay=0.0
  - group 3: lr=1e-05, betas=(0.9, 0.999), eps=1e-08, weight_decay=0.0
[Optimizer] AdamW
  - group 0: lr=0.0, betas=(0.9, 0.999), eps=1e-08, weight_decay=0.1
  - group 1: lr=0.0, betas=(0.9, 0.999), eps=1e-08, weight_decay=0.1
  - group 2: lr=0.0, betas=(0.9, 0.999), eps=1e-08, weight_decay=0.0
  - group 3: lr=0.0, betas=(0.9, 0.999), eps=1e-08, weight_decay=0.0
[Dataset] cur_step has been set to 8000
[ResumeDatasetCallback] Resumed training from global_step=1000
[ResumeDatasetCallback] Dataset cur_step set to 8000
[ResumeDatasetCallback] (batch_size=4, grad_accum=2)

  0%|          | 0/10000 [00:00<?, ?it/s]/root/miniconda3/lib/python3.12/site-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
/root/miniconda3/lib/python3.12/site-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
the number of masks: 8
/root/autodl-tmp/covt_repro/CoVT/train/src/training/covt_qwen2_5_vl.py:672: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /pytorch/torch/csrc/utils/tensor_new.cpp:253.)
  masks = torch.tensor(masks, dtype=torch.float, device=self.sam.device)
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0133976936340332, dino_loss: 0.765625, depth_loss: 0.08098768442869186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1966042518615723, dino_loss: 0.78515625, depth_loss: 0.08801243454217911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1001/10000 [00:14<02:05, 71.44it/s]
                                                    
{'loss': 1.9652, 'grad_norm': 17.072322845458984, 'learning_rate': 4.965767047581958e-05, 'epoch': 0.01}

 10%|█         | 1001/10000 [00:14<02:05, 71.44it/s]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1608847379684448, dino_loss: 0.78515625, depth_loss: 0.07534098625183105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9890763759613037, dino_loss: 0.7421875, depth_loss: 0.08044740557670593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

                                                    
{'loss': 1.9169, 'grad_norm': 2.2265431880950928, 'learning_rate': 4.9656305670045346e-05, 'epoch': 0.01}

 10%|█         | 1002/10000 [00:25<02:05, 71.44it/s]
 10%|█         | 1002/10000 [00:25<02:05, 71.44it/s]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0454630851745605, dino_loss: 0.7578125, depth_loss: 0.08101382851600647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0594736337661743, dino_loss: 0.79296875, depth_loss: 0.07617491483688354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1003/10000 [00:36<06:51, 21.88it/s]
                                                    
{'loss': 1.9067, 'grad_norm': 2.243264675140381, 'learning_rate': 4.9654938167894577e-05, 'epoch': 0.01}

 10%|█         | 1003/10000 [00:36<06:51, 21.88it/s]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052289605140686, dino_loss: 0.8125, depth_loss: 0.09246274083852768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9879266023635864, dino_loss: 0.74609375, depth_loss: 0.0779833048582077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1004/10000 [00:46<10:05, 14.87it/s]
                                                    
{'loss': 1.8848, 'grad_norm': 2.680392026901245, 'learning_rate': 4.9653567969516844e-05, 'epoch': 0.01}

 10%|█         | 1004/10000 [00:46<10:05, 14.87it/s]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0402107238769531, dino_loss: 0.8203125, depth_loss: 0.07597517967224121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9494633674621582, dino_loss: 0.78515625, depth_loss: 0.07597320526838303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1005/10000 [00:58<14:53, 10.07it/s]
                                                    
{'loss': 1.8738, 'grad_norm': 2.611449956893921, 'learning_rate': 4.965219507506198e-05, 'epoch': 0.01}

 10%|█         | 1005/10000 [00:58<14:53, 10.07it/s]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0487810373306274, dino_loss: 0.7421875, depth_loss: 0.07496428489685059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.343092441558838, dino_loss: 0.76171875, depth_loss: 0.08265244960784912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1006/10000 [01:09<21:46,  6.88it/s]
                                                    
{'loss': 2.027, 'grad_norm': 1.7383923530578613, 'learning_rate': 4.9650819484680134e-05, 'epoch': 0.01}

 10%|█         | 1006/10000 [01:09<21:46,  6.88it/s]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0578981637954712, dino_loss: 0.78515625, depth_loss: 0.06652499735355377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0839968919754028, dino_loss: 0.75390625, depth_loss: 0.09582351893186569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1007/10000 [01:20<31:25,  4.77it/s]
                                                    
{'loss': 1.9219, 'grad_norm': 2.9273955821990967, 'learning_rate': 4.9649441198521726e-05, 'epoch': 0.01}

 10%|█         | 1007/10000 [01:20<31:25,  4.77it/s]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.039162039756775, dino_loss: 0.765625, depth_loss: 0.07925987243652344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0428450107574463, dino_loss: 0.7421875, depth_loss: 0.06755056232213974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1008/10000 [01:31<45:00,  3.33it/s]
                                                    
{'loss': 1.8686, 'grad_norm': 1.106629490852356, 'learning_rate': 4.964806021673749e-05, 'epoch': 0.01}

 10%|█         | 1008/10000 [01:31<45:00,  3.33it/s]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.170579433441162, dino_loss: 0.7578125, depth_loss: 0.08069448918104172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052499532699585, dino_loss: 0.75390625, depth_loss: 0.06815376877784729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1009/10000 [01:43<1:04:34,  2.32it/s]
                                                      
{'loss': 1.942, 'grad_norm': 1.6677672863006592, 'learning_rate': 4.964667653947844e-05, 'epoch': 0.01}

 10%|█         | 1009/10000 [01:43<1:04:34,  2.32it/s]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0824726819992065, dino_loss: 0.75, depth_loss: 0.07323219627141953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0634198188781738, dino_loss: 0.765625, depth_loss: 0.1135171502828598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1010/10000 [01:54<1:30:36,  1.65it/s]
                                                      
{'loss': 1.9244, 'grad_norm': 2.193166732788086, 'learning_rate': 4.9645290166895906e-05, 'epoch': 0.01}

 10%|█         | 1010/10000 [01:54<1:30:36,  1.65it/s]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 6
seg_loss: 0.9911010265350342, dino_loss: 0.75390625, depth_loss: 0.0778106302022934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9371455907821655, dino_loss: 0.8046875, depth_loss: 0.05691652372479439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1011/10000 [02:05<2:08:06,  1.17it/s]
                                                      
{'loss': 1.811, 'grad_norm': 1.939603567123413, 'learning_rate': 4.96439010991415e-05, 'epoch': 0.01}

 10%|█         | 1011/10000 [02:05<2:08:06,  1.17it/s]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0022227764129639, dino_loss: 0.76953125, depth_loss: 0.06385375559329987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9929083585739136, dino_loss: 0.6875, depth_loss: 0.05952809378504753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1012/10000 [02:17<2:57:45,  1.19s/it]
                                                      
{'loss': 1.788, 'grad_norm': 3.3400208950042725, 'learning_rate': 4.964250933636711e-05, 'epoch': 0.01}

 10%|█         | 1012/10000 [02:17<2:57:45,  1.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0262939929962158, dino_loss: 0.71875, depth_loss: 0.051646940410137177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0841013193130493, dino_loss: 0.765625, depth_loss: 0.0680244043469429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1013/10000 [02:28<4:03:53,  1.63s/it]
                                                      
{'loss': 1.8575, 'grad_norm': 1.6272523403167725, 'learning_rate': 4.9641114878724956e-05, 'epoch': 0.01}

 10%|█         | 1013/10000 [02:28<4:03:53,  1.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1173906326293945, dino_loss: 0.765625, depth_loss: 0.08248373866081238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9992994070053101, dino_loss: 0.7109375, depth_loss: 0.10389671474695206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1014/10000 [02:40<5:32:46,  2.22s/it]
                                                      
{'loss': 1.89, 'grad_norm': 3.6787490844726562, 'learning_rate': 4.963971772636752e-05, 'epoch': 0.01}

 10%|█         | 1014/10000 [02:40<5:32:46,  2.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1693000793457031, dino_loss: 0.78515625, depth_loss: 0.0698021650314331, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9793853163719177, dino_loss: 0.75390625, depth_loss: 0.07856987416744232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1015/10000 [02:51<7:16:14,  2.91s/it]
                                                      
{'loss': 1.9183, 'grad_norm': 1.9048657417297363, 'learning_rate': 4.9638317879447606e-05, 'epoch': 0.01}

 10%|█         | 1015/10000 [02:51<7:16:14,  2.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0325011014938354, dino_loss: 0.72265625, depth_loss: 0.08575206249952316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0465857982635498, dino_loss: 0.75, depth_loss: 0.0659206360578537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1016/10000 [03:03<9:23:47,  3.77s/it]
                                                      
{'loss': 1.8519, 'grad_norm': 1.56377112865448, 'learning_rate': 4.963691533811829e-05, 'epoch': 0.01}

 10%|█         | 1016/10000 [03:03<9:23:47,  3.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0217360258102417, dino_loss: 0.7890625, depth_loss: 0.07827721536159515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0151362419128418, dino_loss: 0.8046875, depth_loss: 0.05417685955762863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1017/10000 [03:15<11:56:56,  4.79s/it]
                                                       
{'loss': 1.8817, 'grad_norm': 1.8097623586654663, 'learning_rate': 4.963551010253294e-05, 'epoch': 0.01}

 10%|█         | 1017/10000 [03:15<11:56:56,  4.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0344469547271729, dino_loss: 0.77734375, depth_loss: 0.09642383456230164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.042663812637329, dino_loss: 0.7421875, depth_loss: 0.08863285183906555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1018/10000 [03:27<14:44:16,  5.91s/it]
                                                       
{'loss': 1.891, 'grad_norm': 1.9876528978347778, 'learning_rate': 4.963410217284526e-05, 'epoch': 0.01}

 10%|█         | 1018/10000 [03:27<14:44:16,  5.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0002185106277466, dino_loss: 0.73046875, depth_loss: 0.07596245408058167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.086342692375183, dino_loss: 0.7578125, depth_loss: 0.07782307267189026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1019/10000 [03:39<17:29:22,  7.01s/it]
                                                       
{'loss': 1.8644, 'grad_norm': 1.4148049354553223, 'learning_rate': 4.9632691549209196e-05, 'epoch': 0.01}

 10%|█         | 1019/10000 [03:39<17:29:22,  7.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0910978317260742, dino_loss: 0.7734375, depth_loss: 0.09067205339670181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1028764247894287, dino_loss: 0.80078125, depth_loss: 0.07501363754272461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1020/10000 [03:50<19:27:31,  7.80s/it]
                                                       
{'loss': 1.9671, 'grad_norm': 1.417346477508545, 'learning_rate': 4.963127823177902e-05, 'epoch': 0.01}

 10%|█         | 1020/10000 [03:50<19:27:31,  7.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9926648139953613, dino_loss: 0.73046875, depth_loss: 0.06528864800930023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052049994468689, dino_loss: 0.8203125, depth_loss: 0.08473996818065643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1021/10000 [04:01<21:29:55,  8.62s/it]
                                                       
{'loss': 1.873, 'grad_norm': 1.3156847953796387, 'learning_rate': 4.962986222070929e-05, 'epoch': 0.01}

 10%|█         | 1021/10000 [04:01<21:29:55,  8.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0404201745986938, dino_loss: 0.78125, depth_loss: 0.08801181614398956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1480631828308105, dino_loss: 0.7578125, depth_loss: 0.07525678724050522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1022/10000 [04:13<23:19:10,  9.35s/it]
                                                       
{'loss': 1.9456, 'grad_norm': 1.8055436611175537, 'learning_rate': 4.962844351615485e-05, 'epoch': 0.01}

 10%|█         | 1022/10000 [04:13<23:19:10,  9.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0851222276687622, dino_loss: 0.7421875, depth_loss: 0.07869304716587067, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1181867122650146, dino_loss: 0.7578125, depth_loss: 0.07374386489391327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1023/10000 [04:25<25:01:53, 10.04s/it]
                                                       
{'loss': 1.9281, 'grad_norm': 1.808810830116272, 'learning_rate': 4.962702211827087e-05, 'epoch': 0.01}

 10%|█         | 1023/10000 [04:25<25:01:53, 10.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1049139499664307, dino_loss: 0.78125, depth_loss: 0.08408248424530029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0500659942626953, dino_loss: 0.7578125, depth_loss: 0.07653238624334335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1024/10000 [04:36<25:52:04, 10.37s/it]
                                                       
{'loss': 1.9276, 'grad_norm': 3.2672832012176514, 'learning_rate': 4.962559802721277e-05, 'epoch': 0.01}

 10%|█         | 1024/10000 [04:36<25:52:04, 10.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1124365329742432, dino_loss: 0.75, depth_loss: 0.09830056130886078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0863666534423828, dino_loss: 0.71484375, depth_loss: 0.08528938889503479, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1025/10000 [04:48<27:01:14, 10.84s/it]
                                                       
{'loss': 1.9239, 'grad_norm': 2.229609489440918, 'learning_rate': 4.96241712431363e-05, 'epoch': 0.01}

 10%|█         | 1025/10000 [04:48<27:01:14, 10.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.063624620437622, dino_loss: 0.7578125, depth_loss: 0.08253868669271469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9674324989318848, dino_loss: 0.7578125, depth_loss: 0.09724397212266922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1026/10000 [05:00<27:15:12, 10.93s/it]
                                                       
{'loss': 1.8634, 'grad_norm': 2.7016751766204834, 'learning_rate': 4.9622741766197477e-05, 'epoch': 0.01}

 10%|█         | 1026/10000 [05:00<27:15:12, 10.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9838132858276367, dino_loss: 0.75, depth_loss: 0.08762118220329285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0040347576141357, dino_loss: 0.70703125, depth_loss: 0.09595517814159393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1027/10000 [05:11<27:18:36, 10.96s/it]
                                                       
{'loss': 1.8144, 'grad_norm': 1.341886281967163, 'learning_rate': 4.9621309596552637e-05, 'epoch': 0.01}

 10%|█         | 1027/10000 [05:11<27:18:36, 10.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.123816967010498, dino_loss: 0.76171875, depth_loss: 0.08105285465717316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1132113933563232, dino_loss: 0.75, depth_loss: 0.07766368985176086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1028/10000 [05:22<27:39:03, 11.09s/it]
                                                       
{'loss': 1.9539, 'grad_norm': 1.7477009296417236, 'learning_rate': 4.961987473435839e-05, 'epoch': 0.01}

 10%|█         | 1028/10000 [05:22<27:39:03, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.015564203262329, dino_loss: 0.7734375, depth_loss: 0.07829154282808304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1107563972473145, dino_loss: 0.73828125, depth_loss: 0.08579673618078232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1029/10000 [05:33<27:38:23, 11.09s/it]
                                                       
{'loss': 1.9389, 'grad_norm': 118.58419036865234, 'learning_rate': 4.961843717977167e-05, 'epoch': 0.01}

 10%|█         | 1029/10000 [05:33<27:38:23, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9918164610862732, dino_loss: 0.78125, depth_loss: 0.08916524052619934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0423853397369385, dino_loss: 0.73828125, depth_loss: 0.07646915316581726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1030/10000 [05:44<27:41:49, 11.12s/it]
                                                       
{'loss': 1.897, 'grad_norm': 78.26634216308594, 'learning_rate': 4.9616996932949666e-05, 'epoch': 0.01}

 10%|█         | 1030/10000 [05:44<27:41:49, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0494569540023804, dino_loss: 0.79296875, depth_loss: 0.10208114981651306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1505287885665894, dino_loss: 0.73828125, depth_loss: 0.08813133835792542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1031/10000 [05:56<27:53:00, 11.19s/it]
                                                       
{'loss': 1.9692, 'grad_norm': 33.4898567199707, 'learning_rate': 4.961555399404989e-05, 'epoch': 0.01}

 10%|█         | 1031/10000 [05:56<27:53:00, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0348776578903198, dino_loss: 0.73046875, depth_loss: 0.07200440764427185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0250099897384644, dino_loss: 0.75390625, depth_loss: 0.08434374630451202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1032/10000 [06:07<28:04:58, 11.27s/it]
                                                       
{'loss': 1.8506, 'grad_norm': 2.159940242767334, 'learning_rate': 4.9614108363230135e-05, 'epoch': 0.01}

 10%|█         | 1032/10000 [06:07<28:04:58, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1495893001556396, dino_loss: 0.7578125, depth_loss: 0.10555301606655121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0436360836029053, dino_loss: 0.76171875, depth_loss: 0.09827465564012527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1033/10000 [06:20<29:01:51, 11.66s/it]
                                                       
{'loss': 2.0377, 'grad_norm': 44.9131965637207, 'learning_rate': 4.96126600406485e-05, 'epoch': 0.01}

 10%|█         | 1033/10000 [06:20<29:01:51, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0520539283752441, dino_loss: 0.7890625, depth_loss: 0.08759581297636032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9601812362670898, dino_loss: 0.70703125, depth_loss: 0.07383684813976288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1034/10000 [06:31<28:59:25, 11.64s/it]
                                                       
{'loss': 1.8353, 'grad_norm': 5.286812782287598, 'learning_rate': 4.961120902646337e-05, 'epoch': 0.01}

 10%|█         | 1034/10000 [06:31<28:59:25, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 1.1280263662338257, dino_loss: 0.73828125, depth_loss: 0.0715874582529068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1232569217681885, dino_loss: 0.74609375, depth_loss: 0.07102090865373611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1035/10000 [06:42<28:39:32, 11.51s/it]
                                                       
{'loss': 1.9395, 'grad_norm': 3.266040086746216, 'learning_rate': 4.960975532083342e-05, 'epoch': 0.01}

 10%|█         | 1035/10000 [06:42<28:39:32, 11.51s/it]the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.9924840927124023, dino_loss: 0.76953125, depth_loss: 0.07258444279432297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9941021203994751, dino_loss: 0.69921875, depth_loss: 0.06375685334205627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1036/10000 [06:54<28:40:32, 11.52s/it]
                                                       
{'loss': 1.7963, 'grad_norm': 7.666036605834961, 'learning_rate': 4.960829892391763e-05, 'epoch': 0.01}

 10%|█         | 1036/10000 [06:54<28:40:32, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9829190373420715, dino_loss: 0.76171875, depth_loss: 0.06410965323448181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.039036512374878, dino_loss: 0.80078125, depth_loss: 0.08122420310974121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1037/10000 [07:05<28:10:08, 11.31s/it]
                                                       
{'loss': 1.8654, 'grad_norm': 2.2734506130218506, 'learning_rate': 4.960683983587526e-05, 'epoch': 0.01}

 10%|█         | 1037/10000 [07:05<28:10:08, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.047203540802002, dino_loss: 0.7578125, depth_loss: 0.06759696453809738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0665841102600098, dino_loss: 0.75390625, depth_loss: 0.07940929383039474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1038/10000 [07:16<27:52:56, 11.20s/it]
                                                       
{'loss': 1.8867, 'grad_norm': 1.723211407661438, 'learning_rate': 4.960537805686589e-05, 'epoch': 0.01}

 10%|█         | 1038/10000 [07:16<27:52:56, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0447901487350464, dino_loss: 0.77734375, depth_loss: 0.08960701525211334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.010347843170166, dino_loss: 0.6875, depth_loss: 0.10673946142196655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1039/10000 [07:27<27:53:46, 11.21s/it]
                                                       
{'loss': 1.8587, 'grad_norm': 1.9687684774398804, 'learning_rate': 4.960391358704937e-05, 'epoch': 0.01}

 10%|█         | 1039/10000 [07:27<27:53:46, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0594394207000732, dino_loss: 0.765625, depth_loss: 0.08713771402835846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0852607488632202, dino_loss: 0.765625, depth_loss: 0.09379485994577408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1040/10000 [07:38<27:52:42, 11.20s/it]
                                                       
{'loss': 1.9287, 'grad_norm': 2.121542453765869, 'learning_rate': 4.960244642658585e-05, 'epoch': 0.01}

 10%|█         | 1040/10000 [07:38<27:52:42, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0815486907958984, dino_loss: 0.78515625, depth_loss: 0.07824592292308807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1486283540725708, dino_loss: 0.75390625, depth_loss: 0.07646698504686356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1041/10000 [07:49<27:43:01, 11.14s/it]
                                                       
{'loss': 1.9622, 'grad_norm': 1.856347680091858, 'learning_rate': 4.9600976575635774e-05, 'epoch': 0.01}

 10%|█         | 1041/10000 [07:49<27:43:01, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0787010192871094, dino_loss: 0.74609375, depth_loss: 0.08636415749788284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.041236162185669, dino_loss: 0.79296875, depth_loss: 0.07914352416992188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1042/10000 [08:00<27:42:00, 11.13s/it]
                                                       
{'loss': 1.9125, 'grad_norm': 1.4679237604141235, 'learning_rate': 4.959950403435988e-05, 'epoch': 0.01}

 10%|█         | 1042/10000 [08:00<27:42:00, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0640785694122314, dino_loss: 0.80078125, depth_loss: 0.09167559444904327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9677532911300659, dino_loss: 0.71875, depth_loss: 0.0847836434841156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1043/10000 [08:12<27:50:07, 11.19s/it]
                                                       
{'loss': 1.8641, 'grad_norm': 2.7781500816345215, 'learning_rate': 4.9598028802919226e-05, 'epoch': 0.01}

 10%|█         | 1043/10000 [08:12<27:50:07, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9125868082046509, dino_loss: 0.75390625, depth_loss: 0.08269451558589935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0726573467254639, dino_loss: 0.74609375, depth_loss: 0.08090771734714508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1044/10000 [08:23<28:00:13, 11.26s/it]
                                                       
{'loss': 1.8246, 'grad_norm': 2.593475580215454, 'learning_rate': 4.959655088147511e-05, 'epoch': 0.01}

 10%|█         | 1044/10000 [08:23<28:00:13, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0199002027511597, dino_loss: 0.77734375, depth_loss: 0.09532560408115387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0820958614349365, dino_loss: 0.75, depth_loss: 0.05757185071706772, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1045/10000 [08:34<27:58:11, 11.24s/it]
                                                       
{'loss': 1.8914, 'grad_norm': 2.5981380939483643, 'learning_rate': 4.959507027018918e-05, 'epoch': 0.01}

 10%|█         | 1045/10000 [08:34<27:58:11, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0331933498382568, dino_loss: 0.7890625, depth_loss: 0.07965549826622009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0940418243408203, dino_loss: 0.7265625, depth_loss: 0.056619249284267426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1046/10000 [08:45<27:54:25, 11.22s/it]
                                                       
{'loss': 1.8899, 'grad_norm': 2.409069061279297, 'learning_rate': 4.9593586969223346e-05, 'epoch': 0.01}

 10%|█         | 1046/10000 [08:45<27:54:25, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0430501699447632, dino_loss: 0.765625, depth_loss: 0.07526920735836029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0233732461929321, dino_loss: 0.7578125, depth_loss: 0.06593918055295944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1047/10000 [08:56<27:39:50, 11.12s/it]
                                                       
{'loss': 1.8658, 'grad_norm': 1.8810515403747559, 'learning_rate': 4.959210097873981e-05, 'epoch': 0.01}

 10%|█         | 1047/10000 [08:56<27:39:50, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.019020438194275, dino_loss: 0.78125, depth_loss: 0.08232646435499191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9791918992996216, dino_loss: 0.7421875, depth_loss: 0.07520795613527298, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1048/10000 [09:08<27:49:48, 11.19s/it]
                                                       
{'loss': 1.8399, 'grad_norm': 1.8913651704788208, 'learning_rate': 4.959061229890109e-05, 'epoch': 0.01}

 10%|█         | 1048/10000 [09:08<27:49:48, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.169306993484497, dino_loss: 0.75, depth_loss: 0.07688215374946594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0032635927200317, dino_loss: 0.7578125, depth_loss: 0.058869075030088425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1049/10000 [09:18<27:33:22, 11.08s/it]
                                                       
{'loss': 1.9085, 'grad_norm': 1.315248727798462, 'learning_rate': 4.958912092986997e-05, 'epoch': 0.01}

 10%|█         | 1049/10000 [09:18<27:33:22, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.041014552116394, dino_loss: 0.76171875, depth_loss: 0.08671671897172928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1052937507629395, dino_loss: 0.7890625, depth_loss: 0.06916891038417816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 10%|█         | 1050/10000 [09:29<27:26:37, 11.04s/it]
                                                       
{'loss': 1.9267, 'grad_norm': 1.527173638343811, 'learning_rate': 4.958762687180956e-05, 'epoch': 0.01}

 10%|█         | 1050/10000 [09:29<27:26:37, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1431503295898438, dino_loss: 0.78125, depth_loss: 0.08687744289636612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9443499445915222, dino_loss: 0.8046875, depth_loss: 0.0826304629445076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1051/10000 [09:41<27:29:32, 11.06s/it]
                                                       
{'loss': 1.9231, 'grad_norm': 3.5598106384277344, 'learning_rate': 4.958613012488324e-05, 'epoch': 0.01}

 11%|█         | 1051/10000 [09:41<27:29:32, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.987208366394043, dino_loss: 0.80078125, depth_loss: 0.07307462394237518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9702699184417725, dino_loss: 0.73828125, depth_loss: 0.07056038826704025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1052/10000 [09:51<27:22:12, 11.01s/it]
                                                       
{'loss': 1.8203, 'grad_norm': 4.018421173095703, 'learning_rate': 4.95846306892547e-05, 'epoch': 0.01}

 11%|█         | 1052/10000 [09:51<27:22:12, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.069594383239746, dino_loss: 0.73828125, depth_loss: 0.06467865407466888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0299662351608276, dino_loss: 0.71875, depth_loss: 0.06121949851512909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1053/10000 [10:03<27:27:08, 11.05s/it]
                                                       
{'loss': 1.8417, 'grad_norm': 2.0487327575683594, 'learning_rate': 4.958312856508791e-05, 'epoch': 0.01}

 11%|█         | 1053/10000 [10:03<27:27:08, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.034213662147522, dino_loss: 0.76953125, depth_loss: 0.06107383221387863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0880775451660156, dino_loss: 0.7421875, depth_loss: 0.09481993317604065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1054/10000 [10:14<27:42:50, 11.15s/it]
                                                       
{'loss': 1.8954, 'grad_norm': 5.20163106918335, 'learning_rate': 4.9581623752547136e-05, 'epoch': 0.01}

 11%|█         | 1054/10000 [10:14<27:42:50, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.3076900243759155, dino_loss: 0.7265625, depth_loss: 0.09079736471176147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0098333358764648, dino_loss: 0.69140625, depth_loss: 0.06156892329454422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1055/10000 [10:26<28:01:17, 11.28s/it]
                                                       
{'loss': 1.9444, 'grad_norm': 6.965272426605225, 'learning_rate': 4.958011625179695e-05, 'epoch': 0.01}

 11%|█         | 1055/10000 [10:26<28:01:17, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1728644371032715, dino_loss: 0.76171875, depth_loss: 0.062493517994880676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 1.1566203832626343, dino_loss: 0.73828125, depth_loss: 0.0632387176156044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1056/10000 [10:37<27:59:19, 11.27s/it]
                                                       
{'loss': 2.0284, 'grad_norm': 28.557777404785156, 'learning_rate': 4.9578606063002205e-05, 'epoch': 0.01}

 11%|█         | 1056/10000 [10:37<27:59:19, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9741916656494141, dino_loss: 0.73046875, depth_loss: 0.08202006667852402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1207705736160278, dino_loss: 0.74609375, depth_loss: 0.06771953403949738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1057/10000 [10:48<27:46:18, 11.18s/it]
                                                       
{'loss': 1.8683, 'grad_norm': 10.386679649353027, 'learning_rate': 4.957709318632805e-05, 'epoch': 0.01}

 11%|█         | 1057/10000 [10:48<27:46:18, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0197412967681885, dino_loss: 0.75390625, depth_loss: 0.07386939227581024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9877476096153259, dino_loss: 0.7734375, depth_loss: 0.09328337013721466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1058/10000 [10:59<28:03:20, 11.30s/it]
                                                       
{'loss': 1.8528, 'grad_norm': 9.212545394897461, 'learning_rate': 4.957557762193994e-05, 'epoch': 0.01}

 11%|█         | 1058/10000 [10:59<28:03:20, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.111314058303833, dino_loss: 0.77734375, depth_loss: 0.07708165794610977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.064164400100708, dino_loss: 0.7734375, depth_loss: 0.08740732073783875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1059/10000 [11:10<27:35:01, 11.11s/it]
                                                       
{'loss': 1.9455, 'grad_norm': 3.3937549591064453, 'learning_rate': 4.9574059370003613e-05, 'epoch': 0.01}

 11%|█         | 1059/10000 [11:10<27:35:01, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0938185453414917, dino_loss: 0.71875, depth_loss: 0.0771326795220375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0925461053848267, dino_loss: 0.703125, depth_loss: 0.06562202423810959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1060/10000 [11:21<27:40:24, 11.14s/it]
                                                       
{'loss': 1.8757, 'grad_norm': 2.7785425186157227, 'learning_rate': 4.9572538430685094e-05, 'epoch': 0.01}

 11%|█         | 1060/10000 [11:21<27:40:24, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.021852970123291, dino_loss: 0.69140625, depth_loss: 0.0628119558095932, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0374780893325806, dino_loss: 0.75, depth_loss: 0.07893708348274231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1061/10000 [11:32<27:46:26, 11.19s/it]
                                                       
{'loss': 1.8214, 'grad_norm': 1.7468278408050537, 'learning_rate': 4.957101480415072e-05, 'epoch': 0.01}

 11%|█         | 1061/10000 [11:32<27:46:26, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0832672119140625, dino_loss: 0.75390625, depth_loss: 0.0981295183300972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.097785472869873, dino_loss: 0.76953125, depth_loss: 0.06806190311908722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1062/10000 [11:43<27:34:43, 11.11s/it]
                                                       
{'loss': 1.9355, 'grad_norm': 3.1171300411224365, 'learning_rate': 4.956948849056711e-05, 'epoch': 0.01}

 11%|█         | 1062/10000 [11:43<27:34:43, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0798197984695435, dino_loss: 0.72265625, depth_loss: 0.07186734676361084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9819178581237793, dino_loss: 0.81640625, depth_loss: 0.07966683804988861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1063/10000 [11:55<27:50:52, 11.22s/it]
                                                       
{'loss': 1.8763, 'grad_norm': 2.380373954772949, 'learning_rate': 4.9567959490101176e-05, 'epoch': 0.01}

 11%|█         | 1063/10000 [11:55<27:50:52, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1083033084869385, dino_loss: 0.72265625, depth_loss: 0.08231879770755768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0637849569320679, dino_loss: 0.76171875, depth_loss: 0.0749211460351944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1064/10000 [12:06<28:08:00, 11.33s/it]
                                                       
{'loss': 1.907, 'grad_norm': 3.901055335998535, 'learning_rate': 4.956642780292012e-05, 'epoch': 0.01}

 11%|█         | 1064/10000 [12:06<28:08:00, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0048918724060059, dino_loss: 0.6875, depth_loss: 0.06621649861335754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0897830724716187, dino_loss: 0.7421875, depth_loss: 0.07330310344696045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1065/10000 [12:17<27:51:30, 11.22s/it]
                                                       
{'loss': 1.8321, 'grad_norm': 1.4254601001739502, 'learning_rate': 4.956489342919147e-05, 'epoch': 0.01}

 11%|█         | 1065/10000 [12:17<27:51:30, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9857529997825623, dino_loss: 0.76953125, depth_loss: 0.06068291515111923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.02749502658844, dino_loss: 0.75, depth_loss: 0.06947552412748337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1066/10000 [12:28<27:18:43, 11.01s/it]
                                                       
{'loss': 1.8327, 'grad_norm': 9.619344711303711, 'learning_rate': 4.9563356369083006e-05, 'epoch': 0.01}

 11%|█         | 1066/10000 [12:28<27:18:43, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1093647480010986, dino_loss: 0.74609375, depth_loss: 0.06649568676948547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.067322015762329, dino_loss: 0.7578125, depth_loss: 0.08253540843725204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1067/10000 [12:40<27:50:47, 11.22s/it]
                                                       
{'loss': 1.915, 'grad_norm': 1.5964345932006836, 'learning_rate': 4.9561816622762815e-05, 'epoch': 0.01}

 11%|█         | 1067/10000 [12:40<27:50:47, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0884194374084473, dino_loss: 0.73046875, depth_loss: 0.06474492698907852, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1884257793426514, dino_loss: 0.75, depth_loss: 0.08110622316598892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1068/10000 [12:51<28:09:53, 11.35s/it]
                                                       
{'loss': 1.9517, 'grad_norm': 2.5230660438537598, 'learning_rate': 4.956027419039928e-05, 'epoch': 0.01}

 11%|█         | 1068/10000 [12:51<28:09:53, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0283355712890625, dino_loss: 0.74609375, depth_loss: 0.08419877290725708, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0102177858352661, dino_loss: 0.72265625, depth_loss: 0.06908341497182846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1069/10000 [13:03<28:11:39, 11.36s/it]
                                                       
{'loss': 1.8322, 'grad_norm': 6.64260721206665, 'learning_rate': 4.955872907216109e-05, 'epoch': 0.01}

 11%|█         | 1069/10000 [13:03<28:11:39, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1167232990264893, dino_loss: 0.74609375, depth_loss: 0.07244651764631271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9347967505455017, dino_loss: 0.6875, depth_loss: 0.06706135720014572, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1070/10000 [13:15<28:37:52, 11.54s/it]
                                                       
{'loss': 1.8125, 'grad_norm': 1.897109866142273, 'learning_rate': 4.9557181268217227e-05, 'epoch': 0.01}

 11%|█         | 1070/10000 [13:15<28:37:52, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0239266157150269, dino_loss: 0.77734375, depth_loss: 0.08470284193754196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0549241304397583, dino_loss: 0.75390625, depth_loss: 0.11818660795688629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1071/10000 [13:26<28:22:13, 11.44s/it]
                                                       
{'loss': 1.9067, 'grad_norm': 1.622819185256958, 'learning_rate': 4.9555630778736924e-05, 'epoch': 0.01}

 11%|█         | 1071/10000 [13:26<28:22:13, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0609474182128906, dino_loss: 0.7109375, depth_loss: 0.0902995765209198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1060764789581299, dino_loss: 0.7265625, depth_loss: 0.06907196342945099, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1072/10000 [13:37<28:13:49, 11.38s/it]
                                                       
{'loss': 1.8821, 'grad_norm': 1.186311960220337, 'learning_rate': 4.955407760388976e-05, 'epoch': 0.01}

 11%|█         | 1072/10000 [13:37<28:13:49, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9955388307571411, dino_loss: 0.71875, depth_loss: 0.07806611061096191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0176844596862793, dino_loss: 0.74609375, depth_loss: 0.06637011468410492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1073/10000 [13:49<28:31:13, 11.50s/it]
                                                       
{'loss': 1.8115, 'grad_norm': 2.318347215652466, 'learning_rate': 4.955252174384559e-05, 'epoch': 0.01}

 11%|█         | 1073/10000 [13:49<28:31:13, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1560544967651367, dino_loss: 0.7578125, depth_loss: 0.07042978703975677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.068617582321167, dino_loss: 0.76953125, depth_loss: 0.058782655745744705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1074/10000 [14:01<28:41:54, 11.57s/it]
                                                       
{'loss': 1.9409, 'grad_norm': 2.215705156326294, 'learning_rate': 4.9550963198774556e-05, 'epoch': 0.01}

 11%|█         | 1074/10000 [14:01<28:41:54, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0710723400115967, dino_loss: 0.76171875, depth_loss: 0.062466252595186234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1307252645492554, dino_loss: 0.71875, depth_loss: 0.06647111475467682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1075/10000 [14:12<28:15:10, 11.40s/it]
                                                       
{'loss': 1.9058, 'grad_norm': 2.3281142711639404, 'learning_rate': 4.95494019688471e-05, 'epoch': 0.01}

 11%|█         | 1075/10000 [14:12<28:15:10, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1049985885620117, dino_loss: 0.7265625, depth_loss: 0.0678100436925888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0419728755950928, dino_loss: 0.75, depth_loss: 0.08554822206497192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1076/10000 [14:23<28:18:49, 11.42s/it]
                                                       
{'loss': 1.8887, 'grad_norm': 1.7275751829147339, 'learning_rate': 4.954783805423394e-05, 'epoch': 0.01}

 11%|█         | 1076/10000 [14:23<28:18:49, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9801660180091858, dino_loss: 0.7265625, depth_loss: 0.06580551713705063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1325818300247192, dino_loss: 0.80859375, depth_loss: 0.09807263314723969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1077/10000 [14:35<28:20:07, 11.43s/it]
                                                       
{'loss': 1.9061, 'grad_norm': 1.9889212846755981, 'learning_rate': 4.954627145510614e-05, 'epoch': 0.01}

 11%|█         | 1077/10000 [14:35<28:20:07, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2443516254425049, dino_loss: 0.76953125, depth_loss: 0.06721599400043488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1269527673721313, dino_loss: 0.734375, depth_loss: 0.07420769333839417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1078/10000 [14:46<28:18:34, 11.42s/it]
                                                       
{'loss': 2.0085, 'grad_norm': 5.768620491027832, 'learning_rate': 4.954470217163498e-05, 'epoch': 0.01}

 11%|█         | 1078/10000 [14:46<28:18:34, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0676593780517578, dino_loss: 0.74609375, depth_loss: 0.07585501670837402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1709457635879517, dino_loss: 0.765625, depth_loss: 0.08780030906200409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1079/10000 [14:57<27:54:59, 11.27s/it]
                                                       
{'loss': 1.9572, 'grad_norm': 1.5947515964508057, 'learning_rate': 4.95431302039921e-05, 'epoch': 0.01}

 11%|█         | 1079/10000 [14:57<27:54:59, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.211308479309082, dino_loss: 0.796875, depth_loss: 0.0695735365152359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0360296964645386, dino_loss: 0.7421875, depth_loss: 0.09898009151220322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1080/10000 [15:08<27:49:16, 11.23s/it]
                                                       
{'loss': 1.9776, 'grad_norm': 1.980930209159851, 'learning_rate': 4.95415555523494e-05, 'epoch': 0.01}

 11%|█         | 1080/10000 [15:08<27:49:16, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9953681826591492, dino_loss: 0.75, depth_loss: 0.06305626034736633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.9762006998062134, dino_loss: 0.76171875, depth_loss: 0.06027349457144737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1081/10000 [15:19<27:55:24, 11.27s/it]
                                                       
{'loss': 1.8034, 'grad_norm': 1.6698561906814575, 'learning_rate': 4.953997821687909e-05, 'epoch': 0.01}

 11%|█         | 1081/10000 [15:19<27:55:24, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.106907606124878, dino_loss: 0.734375, depth_loss: 0.07267274707555771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.058071494102478, dino_loss: 0.71875, depth_loss: 0.07029189169406891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1082/10000 [15:31<28:09:57, 11.37s/it]
                                                       
{'loss': 1.8807, 'grad_norm': 1.9077785015106201, 'learning_rate': 4.9538398197753646e-05, 'epoch': 0.01}

 11%|█         | 1082/10000 [15:31<28:09:57, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0208158493041992, dino_loss: 0.7265625, depth_loss: 0.08059749007225037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1119794845581055, dino_loss: 0.69921875, depth_loss: 0.06676123291254044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1083/10000 [15:42<28:13:16, 11.39s/it]
                                                       
{'loss': 1.8531, 'grad_norm': 1.3882554769515991, 'learning_rate': 4.953681549514587e-05, 'epoch': 0.01}

 11%|█         | 1083/10000 [15:42<28:13:16, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0496222972869873, dino_loss: 0.7734375, depth_loss: 0.06581085920333862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0726277828216553, dino_loss: 0.74609375, depth_loss: 0.06887312233448029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1084/10000 [15:55<29:07:57, 11.76s/it]
                                                       
{'loss': 1.8884, 'grad_norm': 1.4560352563858032, 'learning_rate': 4.9535230109228844e-05, 'epoch': 0.01}

 11%|█         | 1084/10000 [15:55<29:07:57, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0636906623840332, dino_loss: 0.76953125, depth_loss: 0.07312574982643127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0757793188095093, dino_loss: 0.75390625, depth_loss: 0.08619217574596405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1085/10000 [16:06<28:28:57, 11.50s/it]
                                                       
{'loss': 1.9112, 'grad_norm': 2.2413580417633057, 'learning_rate': 4.953364204017595e-05, 'epoch': 0.01}

 11%|█         | 1085/10000 [16:06<28:28:57, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0830914974212646, dino_loss: 0.7421875, depth_loss: 0.07311121374368668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1494165658950806, dino_loss: 0.75390625, depth_loss: 0.07253503799438477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1086/10000 [16:17<28:03:54, 11.33s/it]
                                                       
{'loss': 1.9373, 'grad_norm': 2.730754852294922, 'learning_rate': 4.953205128816084e-05, 'epoch': 0.01}

 11%|█         | 1086/10000 [16:17<28:03:54, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0212180614471436, dino_loss: 0.80078125, depth_loss: 0.08276014775037766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.01481294631958, dino_loss: 0.7421875, depth_loss: 0.07726742327213287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1087/10000 [16:28<27:54:06, 11.27s/it]
                                                       
{'loss': 1.8697, 'grad_norm': 2.80940580368042, 'learning_rate': 4.953045785335748e-05, 'epoch': 0.01}

 11%|█         | 1087/10000 [16:28<27:54:06, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0151697397232056, dino_loss: 0.765625, depth_loss: 0.08303791284561157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0462900400161743, dino_loss: 0.76953125, depth_loss: 0.09362316131591797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1088/10000 [16:39<27:53:09, 11.26s/it]
                                                       
{'loss': 1.8869, 'grad_norm': 1.9984667301177979, 'learning_rate': 4.9528861735940144e-05, 'epoch': 0.01}

 11%|█         | 1088/10000 [16:39<27:53:09, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1153844594955444, dino_loss: 0.77734375, depth_loss: 0.0716504156589508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0692191123962402, dino_loss: 0.7265625, depth_loss: 0.07885707914829254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1089/10000 [16:50<27:45:36, 11.22s/it]
                                                       
{'loss': 1.9198, 'grad_norm': 2.29573655128479, 'learning_rate': 4.952726293608335e-05, 'epoch': 0.01}

 11%|█         | 1089/10000 [16:50<27:45:36, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0785788297653198, dino_loss: 0.80078125, depth_loss: 0.0829024612903595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1005430221557617, dino_loss: 0.71484375, depth_loss: 0.06506045162677765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1090/10000 [17:02<27:59:17, 11.31s/it]
                                                       
{'loss': 1.9217, 'grad_norm': 3.68994140625, 'learning_rate': 4.952566145396197e-05, 'epoch': 0.01}

 11%|█         | 1090/10000 [17:02<27:59:17, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0368033647537231, dino_loss: 0.76953125, depth_loss: 0.08603286743164062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 1.0859858989715576, dino_loss: 0.78515625, depth_loss: 0.08578665554523468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1091/10000 [17:13<28:00:39, 11.32s/it]
                                                       
{'loss': 1.9249, 'grad_norm': 2.9290316104888916, 'learning_rate': 4.9524057289751125e-05, 'epoch': 0.01}

 11%|█         | 1091/10000 [17:13<28:00:39, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1149264574050903, dino_loss: 0.74609375, depth_loss: 0.0675472542643547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9867673516273499, dino_loss: 0.7734375, depth_loss: 0.08386863768100739, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1092/10000 [17:24<27:57:21, 11.30s/it]
                                                       
{'loss': 1.8874, 'grad_norm': 1.826604962348938, 'learning_rate': 4.9522450443626244e-05, 'epoch': 0.01}

 11%|█         | 1092/10000 [17:24<27:57:21, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0942511558532715, dino_loss: 0.72265625, depth_loss: 0.08593645691871643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1045349836349487, dino_loss: 0.78125, depth_loss: 0.07745642960071564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1093/10000 [17:35<27:36:21, 11.16s/it]
                                                       
{'loss': 1.9346, 'grad_norm': 2.16923451423645, 'learning_rate': 4.952084091576305e-05, 'epoch': 0.01}

 11%|█         | 1093/10000 [17:35<27:36:21, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9790787100791931, dino_loss: 0.8046875, depth_loss: 0.10510793328285217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0216851234436035, dino_loss: 0.78125, depth_loss: 0.07971581071615219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1094/10000 [17:47<27:55:23, 11.29s/it]
                                                       
{'loss': 1.8861, 'grad_norm': 1.5918495655059814, 'learning_rate': 4.9519228706337565e-05, 'epoch': 0.01}

 11%|█         | 1094/10000 [17:47<27:55:23, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9543426036834717, dino_loss: 0.71875, depth_loss: 0.061692968010902405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9832810163497925, dino_loss: 0.703125, depth_loss: 0.056709665805101395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1095/10000 [17:59<28:10:35, 11.39s/it]
                                                       
{'loss': 1.7409, 'grad_norm': 1.5656001567840576, 'learning_rate': 4.951761381552609e-05, 'epoch': 0.01}

 11%|█         | 1095/10000 [17:59<28:10:35, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0081099271774292, dino_loss: 0.75, depth_loss: 0.08084742724895477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1446529626846313, dino_loss: 0.75, depth_loss: 0.09018315374851227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1096/10000 [18:10<27:52:27, 11.27s/it]
                                                       
{'loss': 1.9138, 'grad_norm': 3.3073253631591797, 'learning_rate': 4.951599624350522e-05, 'epoch': 0.01}

 11%|█         | 1096/10000 [18:10<27:52:27, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0692776441574097, dino_loss: 0.765625, depth_loss: 0.06921698153018951, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9781209230422974, dino_loss: 0.76171875, depth_loss: 0.07913805544376373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1097/10000 [18:21<27:50:58, 11.26s/it]
                                                       
{'loss': 1.8631, 'grad_norm': 2.4301917552948, 'learning_rate': 4.9514375990451874e-05, 'epoch': 0.01}

 11%|█         | 1097/10000 [18:21<27:50:58, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9756777286529541, dino_loss: 0.6796875, depth_loss: 0.06635024398565292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.115934133529663, dino_loss: 0.73828125, depth_loss: 0.07463715225458145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1098/10000 [18:32<27:56:43, 11.30s/it]
                                                       
{'loss': 1.8255, 'grad_norm': 1.85891592502594, 'learning_rate': 4.9512753056543226e-05, 'epoch': 0.01}

 11%|█         | 1098/10000 [18:32<27:56:43, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0687462091445923, dino_loss: 0.8046875, depth_loss: 0.07545222342014313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1338051557540894, dino_loss: 0.76171875, depth_loss: 0.0620015487074852, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1099/10000 [18:44<28:23:47, 11.48s/it]
                                                       
{'loss': 1.9533, 'grad_norm': 2.2511777877807617, 'learning_rate': 4.951112744195675e-05, 'epoch': 0.01}

 11%|█         | 1099/10000 [18:44<28:23:47, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0936388969421387, dino_loss: 0.75, depth_loss: 0.08238295465707779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1426398754119873, dino_loss: 0.7421875, depth_loss: 0.09412513673305511, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1100/10000 [18:55<28:09:45, 11.39s/it]
                                                       
{'loss': 1.9527, 'grad_norm': 2.875490188598633, 'learning_rate': 4.9509499146870236e-05, 'epoch': 0.01}

 11%|█         | 1100/10000 [18:55<28:09:45, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9834445714950562, dino_loss: 0.71484375, depth_loss: 0.08253420889377594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0912022590637207, dino_loss: 0.71875, depth_loss: 0.07272817939519882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1101/10000 [19:06<28:03:28, 11.35s/it]
                                                       
{'loss': 1.8326, 'grad_norm': 1.7893989086151123, 'learning_rate': 4.950786817146174e-05, 'epoch': 0.01}

 11%|█         | 1101/10000 [19:06<28:03:28, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9733540415763855, dino_loss: 0.73828125, depth_loss: 0.07196079939603806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1654908657073975, dino_loss: 0.734375, depth_loss: 0.08714545518159866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1102/10000 [19:17<27:40:38, 11.20s/it]
                                                       
{'loss': 1.8855, 'grad_norm': 1.6562172174453735, 'learning_rate': 4.950623451590963e-05, 'epoch': 0.01}

 11%|█         | 1102/10000 [19:17<27:40:38, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9017897248268127, dino_loss: 0.703125, depth_loss: 0.06669013202190399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9678793549537659, dino_loss: 0.734375, depth_loss: 0.05608749017119408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1103/10000 [19:29<28:04:51, 11.36s/it]
                                                       
{'loss': 1.7152, 'grad_norm': 1.8562512397766113, 'learning_rate': 4.950459818039256e-05, 'epoch': 0.01}

 11%|█         | 1103/10000 [19:29<28:04:51, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9736759662628174, dino_loss: 0.703125, depth_loss: 0.09946120530366898, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.142767310142517, dino_loss: 0.7890625, depth_loss: 0.09162729978561401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1104/10000 [19:41<28:14:21, 11.43s/it]
                                                       
{'loss': 1.9001, 'grad_norm': 2.159424304962158, 'learning_rate': 4.950295916508947e-05, 'epoch': 0.01}

 11%|█         | 1104/10000 [19:41<28:14:21, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0801403522491455, dino_loss: 0.7578125, depth_loss: 0.06507430970668793, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9942140579223633, dino_loss: 0.79296875, depth_loss: 0.07528726011514664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1105/10000 [19:52<28:28:02, 11.52s/it]
                                                       
{'loss': 1.883, 'grad_norm': 4.123730659484863, 'learning_rate': 4.9501317470179606e-05, 'epoch': 0.01}

 11%|█         | 1105/10000 [19:52<28:28:02, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0259578227996826, dino_loss: 0.7109375, depth_loss: 0.05956871807575226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9480209350585938, dino_loss: 0.75390625, depth_loss: 0.05679267644882202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1106/10000 [20:03<28:08:50, 11.39s/it]
                                                       
{'loss': 1.8281, 'grad_norm': 139.787841796875, 'learning_rate': 4.9499673095842506e-05, 'epoch': 0.01}

 11%|█         | 1106/10000 [20:03<28:08:50, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1617528200149536, dino_loss: 0.765625, depth_loss: 0.08182582259178162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0289993286132812, dino_loss: 0.77734375, depth_loss: 0.07636860013008118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1107/10000 [20:15<28:18:49, 11.46s/it]
                                                       
{'loss': 1.9463, 'grad_norm': 1.6602857112884521, 'learning_rate': 4.949802604225799e-05, 'epoch': 0.01}

 11%|█         | 1107/10000 [20:15<28:18:49, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9367735385894775, dino_loss: 0.72265625, depth_loss: 0.08066650480031967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9705667495727539, dino_loss: 0.71875, depth_loss: 0.07069779932498932, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1108/10000 [20:27<28:25:34, 11.51s/it]
                                                       
{'loss': 1.7505, 'grad_norm': 8.645430564880371, 'learning_rate': 4.949637630960617e-05, 'epoch': 0.01}

 11%|█         | 1108/10000 [20:27<28:25:34, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1564775705337524, dino_loss: 0.72265625, depth_loss: 0.07101737707853317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.038651943206787, dino_loss: 0.71875, depth_loss: 0.06278859823942184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1109/10000 [20:38<27:55:15, 11.31s/it]
                                                       
{'loss': 1.8855, 'grad_norm': 1.6627869606018066, 'learning_rate': 4.949472389806748e-05, 'epoch': 0.01}

 11%|█         | 1109/10000 [20:38<27:55:15, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0496217012405396, dino_loss: 0.78515625, depth_loss: 0.07637585699558258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0571272373199463, dino_loss: 0.7578125, depth_loss: 0.07224796712398529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1110/10000 [20:49<28:04:53, 11.37s/it]
                                                       
{'loss': 1.8994, 'grad_norm': 1.893190860748291, 'learning_rate': 4.94930688078226e-05, 'epoch': 0.01}

 11%|█         | 1110/10000 [20:49<28:04:53, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0503934621810913, dino_loss: 0.71484375, depth_loss: 0.07710668444633484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9909834861755371, dino_loss: 0.703125, depth_loss: 0.06118055805563927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1111/10000 [21:01<28:14:55, 11.44s/it]
                                                       
{'loss': 1.799, 'grad_norm': 7.066029071807861, 'learning_rate': 4.949141103905255e-05, 'epoch': 0.01}

 11%|█         | 1111/10000 [21:01<28:14:55, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0762507915496826, dino_loss: 0.8046875, depth_loss: 0.09709281474351883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.213832139968872, dino_loss: 0.78515625, depth_loss: 0.08917364478111267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1112/10000 [21:12<28:04:39, 11.37s/it]
                                                       
{'loss': 2.0333, 'grad_norm': 3.522282361984253, 'learning_rate': 4.94897505919386e-05, 'epoch': 0.01}

 11%|█         | 1112/10000 [21:12<28:04:39, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1793771982192993, dino_loss: 0.7578125, depth_loss: 0.08160866051912308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9894477725028992, dino_loss: 0.75390625, depth_loss: 0.08345890045166016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1113/10000 [21:23<28:11:41, 11.42s/it]
                                                       
{'loss': 1.923, 'grad_norm': 2.6594889163970947, 'learning_rate': 4.948808746666235e-05, 'epoch': 0.01}

 11%|█         | 1113/10000 [21:23<28:11:41, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.124725580215454, dino_loss: 0.76171875, depth_loss: 0.08516643196344376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.162035584449768, dino_loss: 0.75390625, depth_loss: 0.09433256089687347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1114/10000 [21:35<28:04:15, 11.37s/it]
                                                       
{'loss': 1.9911, 'grad_norm': 1.7435225248336792, 'learning_rate': 4.948642166340567e-05, 'epoch': 0.01}

 11%|█         | 1114/10000 [21:35<28:04:15, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1155351400375366, dino_loss: 0.75390625, depth_loss: 0.07305702567100525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 1.0539207458496094, dino_loss: 0.7421875, depth_loss: 0.05747302621603012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1115/10000 [21:46<27:42:19, 11.23s/it]
                                                       
{'loss': 1.8982, 'grad_norm': 1.7948875427246094, 'learning_rate': 4.948475318235073e-05, 'epoch': 0.01}

 11%|█         | 1115/10000 [21:46<27:42:19, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9805160760879517, dino_loss: 0.796875, depth_loss: 0.0966719314455986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9963165521621704, dino_loss: 0.78125, depth_loss: 0.06994868814945221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1116/10000 [21:57<27:56:47, 11.32s/it]
                                                       
{'loss': 1.8609, 'grad_norm': 1.8984899520874023, 'learning_rate': 4.9483082023680003e-05, 'epoch': 0.01}

 11%|█         | 1116/10000 [21:57<27:56:47, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0213961601257324, dino_loss: 0.76953125, depth_loss: 0.0890568420290947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0156800746917725, dino_loss: 0.76171875, depth_loss: 0.057820066809654236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1117/10000 [22:08<27:47:25, 11.26s/it]
                                                       
{'loss': 1.8578, 'grad_norm': 2.4756264686584473, 'learning_rate': 4.948140818757623e-05, 'epoch': 0.01}

 11%|█         | 1117/10000 [22:08<27:47:25, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 5
seg_loss: 0.9507189989089966, dino_loss: 0.76171875, depth_loss: 0.07581543922424316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0457360744476318, dino_loss: 0.76171875, depth_loss: 0.07399656623601913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1118/10000 [22:19<27:35:03, 11.18s/it]
                                                       
{'loss': 1.835, 'grad_norm': 1.4138103723526, 'learning_rate': 4.947973167422247e-05, 'epoch': 0.01}

 11%|█         | 1118/10000 [22:19<27:35:03, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0375182628631592, dino_loss: 0.76171875, depth_loss: 0.06981861591339111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.973046064376831, dino_loss: 0.74609375, depth_loss: 0.06815681606531143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1119/10000 [22:31<28:06:20, 11.39s/it]
                                                       
{'loss': 1.8284, 'grad_norm': 1.5873525142669678, 'learning_rate': 4.947805248380205e-05, 'epoch': 0.01}

 11%|█         | 1119/10000 [22:31<28:06:20, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0032752752304077, dino_loss: 0.74609375, depth_loss: 0.05636955052614212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1889011859893799, dino_loss: 0.74609375, depth_loss: 0.08887884020805359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1120/10000 [22:42<27:51:09, 11.29s/it]
                                                       
{'loss': 1.915, 'grad_norm': 1.4908703565597534, 'learning_rate': 4.9476370616498617e-05, 'epoch': 0.01}

 11%|█         | 1120/10000 [22:42<27:51:09, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.05441415309906, dino_loss: 0.7109375, depth_loss: 0.062787726521492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.080066204071045, dino_loss: 0.7265625, depth_loss: 0.07426710426807404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1121/10000 [22:53<27:50:23, 11.29s/it]
                                                       
{'loss': 1.8548, 'grad_norm': 1.1376521587371826, 'learning_rate': 4.94746860724961e-05, 'epoch': 0.01}

 11%|█         | 1121/10000 [22:53<27:50:23, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1810036897659302, dino_loss: 0.765625, depth_loss: 0.07162193208932877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0030126571655273, dino_loss: 0.75390625, depth_loss: 0.07082578539848328, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1122/10000 [23:05<27:52:29, 11.30s/it]
                                                       
{'loss': 1.9232, 'grad_norm': 1.775139331817627, 'learning_rate': 4.9472998851978705e-05, 'epoch': 0.01}

 11%|█         | 1122/10000 [23:05<27:52:29, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9778836965560913, dino_loss: 0.703125, depth_loss: 0.08126845955848694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0212416648864746, dino_loss: 0.77734375, depth_loss: 0.0658716931939125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1123/10000 [23:17<28:33:15, 11.58s/it]
                                                       
{'loss': 1.8136, 'grad_norm': 2.848726749420166, 'learning_rate': 4.947130895513094e-05, 'epoch': 0.01}

 11%|█         | 1123/10000 [23:17<28:33:15, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2128865718841553, dino_loss: 0.7265625, depth_loss: 0.06941843032836914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0259747505187988, dino_loss: 0.73828125, depth_loss: 0.08137170970439911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█         | 1124/10000 [23:28<28:17:10, 11.47s/it]
                                                       
{'loss': 1.9274, 'grad_norm': 2.1533329486846924, 'learning_rate': 4.9469616382137635e-05, 'epoch': 0.01}

 11%|█         | 1124/10000 [23:28<28:17:10, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0395762920379639, dino_loss: 0.7421875, depth_loss: 0.07673713564872742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.040021538734436, dino_loss: 0.74609375, depth_loss: 0.08594521880149841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1125/10000 [23:41<29:00:39, 11.77s/it]
                                                       
{'loss': 1.8654, 'grad_norm': 2.2761590480804443, 'learning_rate': 4.946792113318386e-05, 'epoch': 0.01}

 11%|█▏        | 1125/10000 [23:41<29:00:39, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0941665172576904, dino_loss: 0.7734375, depth_loss: 0.06674410402774811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0747766494750977, dino_loss: 0.7734375, depth_loss: 0.09814850240945816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1126/10000 [23:52<28:29:19, 11.56s/it]
                                                       
{'loss': 1.9405, 'grad_norm': 1.0405824184417725, 'learning_rate': 4.946622320845503e-05, 'epoch': 0.01}

 11%|█▏        | 1126/10000 [23:52<28:29:19, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1229091882705688, dino_loss: 0.72265625, depth_loss: 0.09699013829231262, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9375611543655396, dino_loss: 0.73046875, depth_loss: 0.0648161992430687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1127/10000 [24:03<28:29:09, 11.56s/it]
                                                       
{'loss': 1.838, 'grad_norm': 1.4591304063796997, 'learning_rate': 4.9464522608136805e-05, 'epoch': 0.01}

 11%|█▏        | 1127/10000 [24:03<28:29:09, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0054701566696167, dino_loss: 0.73828125, depth_loss: 0.07585998624563217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0588626861572266, dino_loss: 0.79296875, depth_loss: 0.08157632499933243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1128/10000 [24:15<28:14:24, 11.46s/it]
                                                       
{'loss': 1.8767, 'grad_norm': 1.4084917306900024, 'learning_rate': 4.9462819332415175e-05, 'epoch': 0.01}

 11%|█▏        | 1128/10000 [24:15<28:14:24, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.041313648223877, dino_loss: 0.73046875, depth_loss: 0.07409882545471191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.112067461013794, dino_loss: 0.73828125, depth_loss: 0.08554594963788986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1129/10000 [24:26<28:05:46, 11.40s/it]
                                                       
{'loss': 1.8911, 'grad_norm': 2.446413040161133, 'learning_rate': 4.94611133814764e-05, 'epoch': 0.01}

 11%|█▏        | 1129/10000 [24:26<28:05:46, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1128545999526978, dino_loss: 0.73828125, depth_loss: 0.08494925498962402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.211305022239685, dino_loss: 0.73046875, depth_loss: 0.07155905663967133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1130/10000 [24:37<27:50:14, 11.30s/it]
                                                       
{'loss': 1.9749, 'grad_norm': 2.2317521572113037, 'learning_rate': 4.945940475550703e-05, 'epoch': 0.01}

 11%|█▏        | 1130/10000 [24:37<27:50:14, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1494553089141846, dino_loss: 0.80078125, depth_loss: 0.06664964556694031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0022640228271484, dino_loss: 0.71875, depth_loss: 0.07111630588769913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1131/10000 [24:48<27:48:08, 11.29s/it]
                                                       
{'loss': 1.9047, 'grad_norm': 1.5114879608154297, 'learning_rate': 4.945769345469395e-05, 'epoch': 0.01}

 11%|█▏        | 1131/10000 [24:48<27:48:08, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9985016584396362, dino_loss: 0.734375, depth_loss: 0.0739552304148674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0104284286499023, dino_loss: 0.76171875, depth_loss: 0.0855761244893074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1132/10000 [24:59<27:33:03, 11.18s/it]
                                                       
{'loss': 1.8324, 'grad_norm': 1.1362504959106445, 'learning_rate': 4.945597947922428e-05, 'epoch': 0.01}

 11%|█▏        | 1132/10000 [24:59<27:33:03, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9764248132705688, dino_loss: 0.73046875, depth_loss: 0.06426717340946198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.124596357345581, dino_loss: 0.76171875, depth_loss: 0.07944562286138535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1133/10000 [25:11<27:59:33, 11.37s/it]
                                                       
{'loss': 1.8686, 'grad_norm': 1.402952790260315, 'learning_rate': 4.945426282928546e-05, 'epoch': 0.01}

 11%|█▏        | 1133/10000 [25:11<27:59:33, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 1.0887408256530762, dino_loss: 0.75390625, depth_loss: 0.06736023724079132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2049996852874756, dino_loss: 0.75390625, depth_loss: 0.08490262925624847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1134/10000 [25:23<28:38:23, 11.63s/it]
                                                       
{'loss': 1.977, 'grad_norm': 1.8045059442520142, 'learning_rate': 4.945254350506522e-05, 'epoch': 0.01}

 11%|█▏        | 1134/10000 [25:23<28:38:23, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.980809211730957, dino_loss: 0.6953125, depth_loss: 0.06621640920639038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2052910327911377, dino_loss: 0.7734375, depth_loss: 0.066392682492733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1135/10000 [25:36<29:13:19, 11.87s/it]
                                                       
{'loss': 1.8939, 'grad_norm': 1.9946165084838867, 'learning_rate': 4.945082150675159e-05, 'epoch': 0.01}

 11%|█▏        | 1135/10000 [25:36<29:13:19, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0700066089630127, dino_loss: 0.75390625, depth_loss: 0.06434102356433868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0179109573364258, dino_loss: 0.76953125, depth_loss: 0.07115018367767334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1136/10000 [25:47<28:52:02, 11.72s/it]
                                                       
{'loss': 1.8736, 'grad_norm': 0.9895839691162109, 'learning_rate': 4.9449096834532885e-05, 'epoch': 0.01}

 11%|█▏        | 1136/10000 [25:47<28:52:02, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0038399696350098, dino_loss: 0.7109375, depth_loss: 0.052486129105091095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9051640033721924, dino_loss: 0.75, depth_loss: 0.06662868708372116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1137/10000 [25:59<28:51:51, 11.72s/it]
                                                       
{'loss': 1.7447, 'grad_norm': 1.0940806865692139, 'learning_rate': 4.944736948859769e-05, 'epoch': 0.01}

 11%|█▏        | 1137/10000 [25:59<28:51:51, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.118980050086975, dino_loss: 0.73046875, depth_loss: 0.07020866125822067, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0066943168640137, dino_loss: 0.703125, depth_loss: 0.07017620652914047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1138/10000 [26:10<28:50:33, 11.72s/it]
                                                       
{'loss': 1.8499, 'grad_norm': 1.5091161727905273, 'learning_rate': 4.9445639469134944e-05, 'epoch': 0.01}

 11%|█▏        | 1138/10000 [26:10<28:50:33, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.139711856842041, dino_loss: 0.77734375, depth_loss: 0.08887986838817596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.973138689994812, dino_loss: 0.71484375, depth_loss: 0.06594199687242508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1139/10000 [26:22<28:32:03, 11.59s/it]
                                                       
{'loss': 1.88, 'grad_norm': 1.067003607749939, 'learning_rate': 4.944390677633382e-05, 'epoch': 0.01}

 11%|█▏        | 1139/10000 [26:22<28:32:03, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1071219444274902, dino_loss: 0.7109375, depth_loss: 0.06411619484424591, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9927593469619751, dino_loss: 0.76171875, depth_loss: 0.07469147443771362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1140/10000 [26:33<28:10:20, 11.45s/it]
                                                       
{'loss': 1.8558, 'grad_norm': 2.034836530685425, 'learning_rate': 4.944217141038379e-05, 'epoch': 0.01}

 11%|█▏        | 1140/10000 [26:33<28:10:20, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9972149133682251, dino_loss: 0.8203125, depth_loss: 0.0738191306591034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0898935794830322, dino_loss: 0.74609375, depth_loss: 0.07397307455539703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1141/10000 [26:44<27:58:00, 11.36s/it]
                                                       
{'loss': 1.9008, 'grad_norm': 2.1755740642547607, 'learning_rate': 4.9440433371474646e-05, 'epoch': 0.01}

 11%|█▏        | 1141/10000 [26:44<27:58:00, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9523403644561768, dino_loss: 0.7265625, depth_loss: 0.07307101786136627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2295881509780884, dino_loss: 0.7421875, depth_loss: 0.06520888209342957, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1142/10000 [26:55<27:58:36, 11.37s/it]
                                                       
{'loss': 1.8946, 'grad_norm': 1.4172083139419556, 'learning_rate': 4.943869265979646e-05, 'epoch': 0.01}

 11%|█▏        | 1142/10000 [26:55<27:58:36, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9404377937316895, dino_loss: 0.75, depth_loss: 0.058439817279577255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0208698511123657, dino_loss: 0.73046875, depth_loss: 0.05784153938293457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1143/10000 [27:07<28:07:49, 11.43s/it]
                                                       
{'loss': 1.7792, 'grad_norm': 0.8508202433586121, 'learning_rate': 4.943694927553958e-05, 'epoch': 0.01}

 11%|█▏        | 1143/10000 [27:07<28:07:49, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0550565719604492, dino_loss: 0.70703125, depth_loss: 0.07141178846359253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0595060586929321, dino_loss: 0.828125, depth_loss: 0.07988723367452621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1144/10000 [27:19<28:26:19, 11.56s/it]
                                                       
{'loss': 1.9006, 'grad_norm': 2.8203506469726562, 'learning_rate': 4.943520321889468e-05, 'epoch': 0.01}

 11%|█▏        | 1144/10000 [27:19<28:26:19, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1183128356933594, dino_loss: 0.76171875, depth_loss: 0.08838124573230743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0832295417785645, dino_loss: 0.734375, depth_loss: 0.0645981952548027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1145/10000 [27:30<27:54:17, 11.34s/it]
                                                       
{'loss': 1.9254, 'grad_norm': 1.0900795459747314, 'learning_rate': 4.9433454490052675e-05, 'epoch': 0.01}

 11%|█▏        | 1145/10000 [27:30<27:54:17, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.050050973892212, dino_loss: 0.75, depth_loss: 0.07290273904800415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0513782501220703, dino_loss: 0.7109375, depth_loss: 0.06454307585954666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1146/10000 [27:41<27:39:04, 11.24s/it]
                                                       
{'loss': 1.85, 'grad_norm': 1.9202090501785278, 'learning_rate': 4.943170308920484e-05, 'epoch': 0.01}

 11%|█▏        | 1146/10000 [27:41<27:39:04, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9659720659255981, dino_loss: 0.72265625, depth_loss: 0.06775133311748505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1283961534500122, dino_loss: 0.78125, depth_loss: 0.06204504147171974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1147/10000 [27:53<28:07:46, 11.44s/it]
                                                       
{'loss': 1.8642, 'grad_norm': 1.6025118827819824, 'learning_rate': 4.9429949016542675e-05, 'epoch': 0.01}

 11%|█▏        | 1147/10000 [27:53<28:07:46, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0340720415115356, dino_loss: 0.76171875, depth_loss: 0.062499165534973145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.043203353881836, dino_loss: 0.703125, depth_loss: 0.05866047739982605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1148/10000 [28:04<28:09:55, 11.45s/it]
                                                       
{'loss': 1.8318, 'grad_norm': 1.6239620447158813, 'learning_rate': 4.942819227225802e-05, 'epoch': 0.01}

 11%|█▏        | 1148/10000 [28:04<28:09:55, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.123164176940918, dino_loss: 0.71875, depth_loss: 0.08026958256959915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0593055486679077, dino_loss: 0.70703125, depth_loss: 0.05608677119016647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 11%|█▏        | 1149/10000 [28:15<27:55:19, 11.36s/it]
                                                       
{'loss': 1.8725, 'grad_norm': 1.830581545829773, 'learning_rate': 4.942643285654299e-05, 'epoch': 0.01}

 11%|█▏        | 1149/10000 [28:15<27:55:19, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0482177734375, dino_loss: 0.76953125, depth_loss: 0.0877484679222107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0429579019546509, dino_loss: 0.73046875, depth_loss: 0.07974782586097717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1150/10000 [28:26<27:30:38, 11.19s/it]
                                                       
{'loss': 1.8795, 'grad_norm': 3.127344846725464, 'learning_rate': 4.9424670769589984e-05, 'epoch': 0.01}

 12%|█▏        | 1150/10000 [28:26<27:30:38, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1220403909683228, dino_loss: 0.7109375, depth_loss: 0.066657155752182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0142138004302979, dino_loss: 0.71875, depth_loss: 0.07236272841691971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1151/10000 [28:37<27:37:48, 11.24s/it]
                                                       
{'loss': 1.8526, 'grad_norm': 2.848949432373047, 'learning_rate': 4.942290601159171e-05, 'epoch': 0.01}

 12%|█▏        | 1151/10000 [28:37<27:37:48, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0936213731765747, dino_loss: 0.73046875, depth_loss: 0.07348159700632095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9611262083053589, dino_loss: 0.70703125, depth_loss: 0.06939949840307236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1152/10000 [28:48<27:34:29, 11.22s/it]
                                                       
{'loss': 1.8177, 'grad_norm': 2.2335076332092285, 'learning_rate': 4.942113858274114e-05, 'epoch': 0.01}

 12%|█▏        | 1152/10000 [28:48<27:34:29, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9210363030433655, dino_loss: 0.734375, depth_loss: 0.07648326456546783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.013178825378418, dino_loss: 0.71875, depth_loss: 0.07846051454544067, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1153/10000 [29:00<27:53:57, 11.35s/it]
                                                       
{'loss': 1.7713, 'grad_norm': 1.6347110271453857, 'learning_rate': 4.941936848323158e-05, 'epoch': 0.01}

 12%|█▏        | 1153/10000 [29:00<27:53:57, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1094633340835571, dino_loss: 0.7734375, depth_loss: 0.08980153501033783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2266199588775635, dino_loss: 0.73828125, depth_loss: 0.07837115228176117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1154/10000 [29:11<27:39:29, 11.26s/it]
                                                       
{'loss': 2.0082, 'grad_norm': 1.8024377822875977, 'learning_rate': 4.94175957132566e-05, 'epoch': 0.01}

 12%|█▏        | 1154/10000 [29:11<27:39:29, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0242444276809692, dino_loss: 0.81640625, depth_loss: 0.08134063333272934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0840883255004883, dino_loss: 0.7421875, depth_loss: 0.07372809946537018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1155/10000 [29:22<27:31:58, 11.21s/it]
                                                       
{'loss': 1.9111, 'grad_norm': 1.3315860033035278, 'learning_rate': 4.941582027301006e-05, 'epoch': 0.01}

 12%|█▏        | 1155/10000 [29:22<27:31:58, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1042180061340332, dino_loss: 0.7265625, depth_loss: 0.10187733173370361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.036392331123352, dino_loss: 0.75, depth_loss: 0.06704410910606384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1156/10000 [29:34<27:41:08, 11.27s/it]
                                                       
{'loss': 1.8932, 'grad_norm': 1.297783374786377, 'learning_rate': 4.941404216268612e-05, 'epoch': 0.01}

 12%|█▏        | 1156/10000 [29:34<27:41:08, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0307998657226562, dino_loss: 0.734375, depth_loss: 0.06813062727451324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0306811332702637, dino_loss: 0.71484375, depth_loss: 0.06267674267292023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1157/10000 [29:45<27:30:04, 11.20s/it]
                                                       
{'loss': 1.821, 'grad_norm': 1.2000619173049927, 'learning_rate': 4.941226138247924e-05, 'epoch': 0.01}

 12%|█▏        | 1157/10000 [29:45<27:30:04, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.107763648033142, dino_loss: 0.70703125, depth_loss: 0.06847172975540161, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1289951801300049, dino_loss: 0.73828125, depth_loss: 0.08386299014091492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1158/10000 [29:56<27:31:44, 11.21s/it]
                                                       
{'loss': 1.9174, 'grad_norm': 1.4980840682983398, 'learning_rate': 4.941047793258416e-05, 'epoch': 0.01}

 12%|█▏        | 1158/10000 [29:56<27:31:44, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0749893188476562, dino_loss: 0.74609375, depth_loss: 0.07012920081615448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.051639199256897, dino_loss: 0.7109375, depth_loss: 0.06819887459278107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1159/10000 [30:08<27:51:58, 11.35s/it]
                                                       
{'loss': 1.8612, 'grad_norm': 1.0269590616226196, 'learning_rate': 4.940869181319591e-05, 'epoch': 0.01}

 12%|█▏        | 1159/10000 [30:08<27:51:58, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.149155616760254, dino_loss: 0.7890625, depth_loss: 0.06765569001436234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0366743803024292, dino_loss: 0.73828125, depth_loss: 0.06423389911651611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1160/10000 [30:19<27:49:22, 11.33s/it]
                                                       
{'loss': 1.9227, 'grad_norm': 2.5349740982055664, 'learning_rate': 4.940690302450982e-05, 'epoch': 0.01}

 12%|█▏        | 1160/10000 [30:19<27:49:22, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0970697402954102, dino_loss: 0.71875, depth_loss: 0.09222552180290222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0697870254516602, dino_loss: 0.75390625, depth_loss: 0.0772228091955185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1161/10000 [30:31<28:09:44, 11.47s/it]
                                                       
{'loss': 1.9047, 'grad_norm': 1.889671802520752, 'learning_rate': 4.940511156672151e-05, 'epoch': 0.01}

 12%|█▏        | 1161/10000 [30:31<28:09:44, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0713320970535278, dino_loss: 0.73046875, depth_loss: 0.08701498061418533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0084089040756226, dino_loss: 0.765625, depth_loss: 0.06825223565101624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1162/10000 [30:42<28:00:58, 11.41s/it]
                                                       
{'loss': 1.8657, 'grad_norm': 1.3240622282028198, 'learning_rate': 4.9403317440026896e-05, 'epoch': 0.01}

 12%|█▏        | 1162/10000 [30:42<28:00:58, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1028311252593994, dino_loss: 0.6953125, depth_loss: 0.08851122856140137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.183066487312317, dino_loss: 0.7734375, depth_loss: 0.0710030347108841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1163/10000 [30:54<28:28:32, 11.60s/it]
                                                       
{'loss': 1.9573, 'grad_norm': 1.7240233421325684, 'learning_rate': 4.940152064462217e-05, 'epoch': 0.01}

 12%|█▏        | 1163/10000 [30:54<28:28:32, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0116547346115112, dino_loss: 0.7578125, depth_loss: 0.06436307728290558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0057315826416016, dino_loss: 0.70703125, depth_loss: 0.0696655809879303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1164/10000 [31:05<28:14:39, 11.51s/it]
                                                       
{'loss': 1.8083, 'grad_norm': 1.8691173791885376, 'learning_rate': 4.939972118070384e-05, 'epoch': 0.01}

 12%|█▏        | 1164/10000 [31:05<28:14:39, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0566661357879639, dino_loss: 0.73046875, depth_loss: 0.07086353749036789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.012547254562378, dino_loss: 0.7578125, depth_loss: 0.05297742411494255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1165/10000 [31:17<28:17:41, 11.53s/it]
                                                       
{'loss': 1.8409, 'grad_norm': 1.5035392045974731, 'learning_rate': 4.939791904846869e-05, 'epoch': 0.01}

 12%|█▏        | 1165/10000 [31:17<28:17:41, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9187006950378418, dino_loss: 0.7421875, depth_loss: 0.07335445284843445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0696368217468262, dino_loss: 0.7578125, depth_loss: 0.08139799535274506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1166/10000 [31:28<28:08:27, 11.47s/it]
                                                       
{'loss': 1.8218, 'grad_norm': 3.5965306758880615, 'learning_rate': 4.939611424811379e-05, 'epoch': 0.01}

 12%|█▏        | 1166/10000 [31:28<28:08:27, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9427343010902405, dino_loss: 0.734375, depth_loss: 0.07427284121513367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1177663803100586, dino_loss: 0.74609375, depth_loss: 0.09956251829862595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1167/10000 [31:40<28:16:22, 11.52s/it]
                                                       
{'loss': 1.8577, 'grad_norm': 1.7831751108169556, 'learning_rate': 4.939430677983651e-05, 'epoch': 0.01}

 12%|█▏        | 1167/10000 [31:40<28:16:22, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0954372882843018, dino_loss: 0.72265625, depth_loss: 0.06509798020124435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0087335109710693, dino_loss: 0.7578125, depth_loss: 0.0800674557685852, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1168/10000 [31:51<28:11:53, 11.49s/it]
                                                       
{'loss': 1.8651, 'grad_norm': 1.808497667312622, 'learning_rate': 4.939249664383452e-05, 'epoch': 0.01}

 12%|█▏        | 1168/10000 [31:51<28:11:53, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.101824164390564, dino_loss: 0.76171875, depth_loss: 0.06639036536216736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 1
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8015309572219849, dino_loss: 0.73828125, depth_loss: 0.06006164848804474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1169/10000 [32:03<28:12:54, 11.50s/it]
                                                       
{'loss': 1.7653, 'grad_norm': 8.165689468383789, 'learning_rate': 4.939068384030577e-05, 'epoch': 0.01}

 12%|█▏        | 1169/10000 [32:03<28:12:54, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9536222219467163, dino_loss: 0.77734375, depth_loss: 0.09036104381084442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.110713243484497, dino_loss: 0.73828125, depth_loss: 0.09238606691360474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1170/10000 [32:14<28:00:09, 11.42s/it]
                                                       
{'loss': 1.8818, 'grad_norm': 4.181638240814209, 'learning_rate': 4.938886836944851e-05, 'epoch': 0.01}

 12%|█▏        | 1170/10000 [32:14<28:00:09, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0390594005584717, dino_loss: 0.73828125, depth_loss: 0.07555203884840012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.103644847869873, dino_loss: 0.68359375, depth_loss: 0.06270621716976166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1171/10000 [32:26<28:09:31, 11.48s/it]
                                                       
{'loss': 1.8517, 'grad_norm': 1.546927809715271, 'learning_rate': 4.938705023146128e-05, 'epoch': 0.01}

 12%|█▏        | 1171/10000 [32:26<28:09:31, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1804242134094238, dino_loss: 0.76953125, depth_loss: 0.07064581662416458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.035576343536377, dino_loss: 0.7421875, depth_loss: 0.07575089484453201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1172/10000 [32:37<27:57:15, 11.40s/it]
                                                       
{'loss': 1.9373, 'grad_norm': 2.2309298515319824, 'learning_rate': 4.9385229426542884e-05, 'epoch': 0.01}

 12%|█▏        | 1172/10000 [32:37<27:57:15, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0394823551177979, dino_loss: 0.765625, depth_loss: 0.08447246253490448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9709491729736328, dino_loss: 0.72265625, depth_loss: 0.07797947525978088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1173/10000 [32:48<27:35:53, 11.26s/it]
                                                       
{'loss': 1.831, 'grad_norm': 2.8626229763031006, 'learning_rate': 4.938340595489247e-05, 'epoch': 0.01}

 12%|█▏        | 1173/10000 [32:48<27:35:53, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1005791425704956, dino_loss: 0.73828125, depth_loss: 0.08099854737520218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.987250566482544, dino_loss: 0.73828125, depth_loss: 0.06650283187627792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1174/10000 [32:59<27:36:43, 11.26s/it]
                                                       
{'loss': 1.8583, 'grad_norm': 2.5954203605651855, 'learning_rate': 4.9381579816709436e-05, 'epoch': 0.01}

 12%|█▏        | 1174/10000 [32:59<27:36:43, 11.26s/it]the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9976160526275635, dino_loss: 0.69140625, depth_loss: 0.05929119884967804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.899560809135437, dino_loss: 0.7734375, depth_loss: 0.07185497879981995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1175/10000 [33:10<27:32:21, 11.23s/it]
                                                       
{'loss': 1.7469, 'grad_norm': 2.310791254043579, 'learning_rate': 4.93797510121935e-05, 'epoch': 0.01}

 12%|█▏        | 1175/10000 [33:10<27:32:21, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0470964908599854, dino_loss: 0.75390625, depth_loss: 0.07804854214191437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1134957075119019, dino_loss: 0.72265625, depth_loss: 0.06758331507444382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1176/10000 [33:21<27:21:26, 11.16s/it]
                                                       
{'loss': 1.8918, 'grad_norm': 3.2758045196533203, 'learning_rate': 4.937791954154464e-05, 'epoch': 0.01}

 12%|█▏        | 1176/10000 [33:21<27:21:26, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0507957935333252, dino_loss: 0.72265625, depth_loss: 0.06245355308055878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9913532137870789, dino_loss: 0.73046875, depth_loss: 0.07209667563438416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1177/10000 [33:33<27:43:02, 11.31s/it]
                                                       
{'loss': 1.8152, 'grad_norm': 1.8207217454910278, 'learning_rate': 4.9376085404963154e-05, 'epoch': 0.01}

 12%|█▏        | 1177/10000 [33:33<27:43:02, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9521232843399048, dino_loss: 0.7109375, depth_loss: 0.06043815612792969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0583950281143188, dino_loss: 0.6953125, depth_loss: 0.05725386366248131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1178/10000 [33:44<27:50:30, 11.36s/it]
                                                       
{'loss': 1.7675, 'grad_norm': 3.2545933723449707, 'learning_rate': 4.937424860264961e-05, 'epoch': 0.01}

 12%|█▏        | 1178/10000 [33:44<27:50:30, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.949100911617279, dino_loss: 0.75, depth_loss: 0.0664958655834198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0305293798446655, dino_loss: 0.75390625, depth_loss: 0.0638137012720108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1179/10000 [33:56<27:55:08, 11.39s/it]
                                                       
{'loss': 1.8071, 'grad_norm': 1.5232176780700684, 'learning_rate': 4.9372409134804894e-05, 'epoch': 0.01}

 12%|█▏        | 1179/10000 [33:56<27:55:08, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0595717430114746, dino_loss: 0.76953125, depth_loss: 0.07652484625577927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0386548042297363, dino_loss: 0.74609375, depth_loss: 0.06997235119342804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1180/10000 [34:07<27:41:01, 11.30s/it]
                                                       
{'loss': 1.8804, 'grad_norm': 3.1837663650512695, 'learning_rate': 4.937056700163015e-05, 'epoch': 0.01}

 12%|█▏        | 1180/10000 [34:07<27:41:01, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0646454095840454, dino_loss: 0.80078125, depth_loss: 0.09180327504873276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0156983137130737, dino_loss: 0.7265625, depth_loss: 0.06642573326826096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1181/10000 [34:18<27:25:47, 11.20s/it]
                                                       
{'loss': 1.8832, 'grad_norm': 2.5293006896972656, 'learning_rate': 4.9368722203326844e-05, 'epoch': 0.01}

 12%|█▏        | 1181/10000 [34:18<27:25:47, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0812735557556152, dino_loss: 0.83203125, depth_loss: 0.07769393175840378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1936115026474, dino_loss: 0.7109375, depth_loss: 0.08154650032520294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1182/10000 [34:29<27:14:52, 11.12s/it]
                                                       
{'loss': 1.9887, 'grad_norm': 1.4530854225158691, 'learning_rate': 4.936687474009672e-05, 'epoch': 0.01}

 12%|█▏        | 1182/10000 [34:29<27:14:52, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0457572937011719, dino_loss: 0.7578125, depth_loss: 0.07436531782150269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9964776039123535, dino_loss: 0.6953125, depth_loss: 0.0658767968416214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1183/10000 [34:40<27:13:01, 11.11s/it]
                                                       
{'loss': 1.818, 'grad_norm': 1.2299060821533203, 'learning_rate': 4.9365024612141805e-05, 'epoch': 0.01}

 12%|█▏        | 1183/10000 [34:40<27:13:01, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1166372299194336, dino_loss: 0.79296875, depth_loss: 0.1067744791507721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.046297311782837, dino_loss: 0.7578125, depth_loss: 0.08327266573905945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1184/10000 [34:51<27:23:37, 11.19s/it]
                                                       
{'loss': 1.952, 'grad_norm': 1.4648054838180542, 'learning_rate': 4.9363171819664434e-05, 'epoch': 0.01}

 12%|█▏        | 1184/10000 [34:51<27:23:37, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0997424125671387, dino_loss: 0.74609375, depth_loss: 0.06795184314250946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0825215578079224, dino_loss: 0.77734375, depth_loss: 0.056679967790842056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1185/10000 [35:04<28:14:25, 11.53s/it]
                                                       
{'loss': 1.9153, 'grad_norm': 3.0476770401000977, 'learning_rate': 4.9361316362867215e-05, 'epoch': 0.01}

 12%|█▏        | 1185/10000 [35:04<28:14:25, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1328006982803345, dino_loss: 0.76171875, depth_loss: 0.09177134931087494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0801925659179688, dino_loss: 0.71875, depth_loss: 0.10677322745323181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1186/10000 [35:15<28:03:54, 11.46s/it]
                                                       
{'loss': 1.9462, 'grad_norm': 1.667232632637024, 'learning_rate': 4.935945824195307e-05, 'epoch': 0.01}

 12%|█▏        | 1186/10000 [35:15<28:03:54, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0557001829147339, dino_loss: 0.734375, depth_loss: 0.05542322248220444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1241809129714966, dino_loss: 0.69921875, depth_loss: 0.06459401547908783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1187/10000 [35:26<27:48:37, 11.36s/it]
                                                       
{'loss': 1.867, 'grad_norm': 3.4609313011169434, 'learning_rate': 4.935759745712519e-05, 'epoch': 0.01}

 12%|█▏        | 1187/10000 [35:26<27:48:37, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2371788024902344, dino_loss: 0.69140625, depth_loss: 0.06304909288883209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2102243900299072, dino_loss: 0.75390625, depth_loss: 0.0751287192106247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1188/10000 [35:37<27:30:21, 11.24s/it]
                                                       
{'loss': 2.0157, 'grad_norm': 2.6009020805358887, 'learning_rate': 4.935573400858708e-05, 'epoch': 0.01}

 12%|█▏        | 1188/10000 [35:37<27:30:21, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9917836785316467, dino_loss: 0.7734375, depth_loss: 0.06964486837387085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1007003784179688, dino_loss: 0.796875, depth_loss: 0.07520200312137604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1189/10000 [35:48<27:20:41, 11.17s/it]
                                                       
{'loss': 1.9041, 'grad_norm': 3.5274269580841064, 'learning_rate': 4.9353867896542516e-05, 'epoch': 0.01}

 12%|█▏        | 1189/10000 [35:48<27:20:41, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9680805206298828, dino_loss: 0.75390625, depth_loss: 0.06587701290845871, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2270359992980957, dino_loss: 0.71875, depth_loss: 0.06227651983499527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1190/10000 [36:00<28:01:53, 11.45s/it]
                                                       
{'loss': 1.8982, 'grad_norm': 3.8369295597076416, 'learning_rate': 4.935199912119558e-05, 'epoch': 0.01}

 12%|█▏        | 1190/10000 [36:00<28:01:53, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1074916124343872, dino_loss: 0.76953125, depth_loss: 0.06196300685405731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2052488327026367, dino_loss: 0.7578125, depth_loss: 0.06606167554855347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1191/10000 [36:11<27:53:02, 11.40s/it]
                                                       
{'loss': 1.9843, 'grad_norm': 1.4186420440673828, 'learning_rate': 4.9350127682750623e-05, 'epoch': 0.01}

 12%|█▏        | 1191/10000 [36:11<27:53:02, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.046701431274414, dino_loss: 0.69921875, depth_loss: 0.0728524923324585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9432966709136963, dino_loss: 0.77734375, depth_loss: 0.07715962082147598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1192/10000 [36:23<28:03:51, 11.47s/it]
                                                       
{'loss': 1.8085, 'grad_norm': 1.2024219036102295, 'learning_rate': 4.934825358141232e-05, 'epoch': 0.01}

 12%|█▏        | 1192/10000 [36:23<28:03:51, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9725174307823181, dino_loss: 0.70703125, depth_loss: 0.08085580915212631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0010813474655151, dino_loss: 0.6953125, depth_loss: 0.07808168977499008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1193/10000 [36:34<27:54:20, 11.41s/it]
                                                       
{'loss': 1.7677, 'grad_norm': 1.3310720920562744, 'learning_rate': 4.934637681738561e-05, 'epoch': 0.01}

 12%|█▏        | 1193/10000 [36:34<27:54:20, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1173226833343506, dino_loss: 0.7890625, depth_loss: 0.075081966817379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9701538681983948, dino_loss: 0.71875, depth_loss: 0.07064276933670044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1194/10000 [36:45<27:44:13, 11.34s/it]
                                                       
{'loss': 1.8707, 'grad_norm': 2.024397134780884, 'learning_rate': 4.9344497390875734e-05, 'epoch': 0.01}

 12%|█▏        | 1194/10000 [36:45<27:44:13, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.024737000465393, dino_loss: 0.71875, depth_loss: 0.07730528712272644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1474857330322266, dino_loss: 0.765625, depth_loss: 0.06792600452899933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1195/10000 [36:57<27:32:31, 11.26s/it]
                                                       
{'loss': 1.9011, 'grad_norm': 2.2088379859924316, 'learning_rate': 4.934261530208823e-05, 'epoch': 0.01}

 12%|█▏        | 1195/10000 [36:57<27:32:31, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0230109691619873, dino_loss: 0.76953125, depth_loss: 0.06746806204319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0465741157531738, dino_loss: 0.734375, depth_loss: 0.05842304229736328, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1196/10000 [37:09<28:05:40, 11.49s/it]
                                                       
{'loss': 1.8499, 'grad_norm': 4.033545017242432, 'learning_rate': 4.93407305512289e-05, 'epoch': 0.01}

 12%|█▏        | 1196/10000 [37:09<28:05:40, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9588552713394165, dino_loss: 0.7265625, depth_loss: 0.05313117802143097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0905779600143433, dino_loss: 0.76953125, depth_loss: 0.08091764897108078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1197/10000 [37:19<27:34:34, 11.28s/it]
                                                       
{'loss': 1.84, 'grad_norm': 1.8474879264831543, 'learning_rate': 4.933884313850388e-05, 'epoch': 0.01}

 12%|█▏        | 1197/10000 [37:19<27:34:34, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0188583135604858, dino_loss: 0.7578125, depth_loss: 0.07297378778457642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9751259088516235, dino_loss: 0.71484375, depth_loss: 0.049448393285274506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1198/10000 [37:30<27:23:46, 11.20s/it]
                                                       
{'loss': 1.7947, 'grad_norm': 1.8130289316177368, 'learning_rate': 4.933695306411957e-05, 'epoch': 0.01}

 12%|█▏        | 1198/10000 [37:30<27:23:46, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9722886085510254, dino_loss: 0.73046875, depth_loss: 0.08762433379888535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.032027244567871, dino_loss: 0.765625, depth_loss: 0.07704804837703705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1199/10000 [37:42<27:55:53, 11.43s/it]
                                                       
{'loss': 1.8327, 'grad_norm': 3.1804869174957275, 'learning_rate': 4.933506032828267e-05, 'epoch': 0.01}

 12%|█▏        | 1199/10000 [37:42<27:55:53, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1204047203063965, dino_loss: 0.7734375, depth_loss: 0.10348527878522873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0245531797409058, dino_loss: 0.73046875, depth_loss: 0.07735912501811981, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1200/10000 [37:53<27:23:18, 11.20s/it]
                                                       
{'loss': 1.915, 'grad_norm': 1.2182505130767822, 'learning_rate': 4.933316493120015e-05, 'epoch': 0.01}

 12%|█▏        | 1200/10000 [37:53<27:23:18, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0505900382995605, dino_loss: 0.7109375, depth_loss: 0.06258846819400787, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2411236763000488, dino_loss: 0.7109375, depth_loss: 0.07884280383586884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1201/10000 [38:05<27:50:22, 11.39s/it]
                                                       
{'loss': 1.9276, 'grad_norm': 2.275679111480713, 'learning_rate': 4.93312668730793e-05, 'epoch': 0.01}

 12%|█▏        | 1201/10000 [38:05<27:50:22, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0246682167053223, dino_loss: 0.75, depth_loss: 0.07301583141088486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9275309443473816, dino_loss: 0.75390625, depth_loss: 0.0778803676366806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1202/10000 [38:17<28:22:27, 11.61s/it]
                                                       
{'loss': 1.8036, 'grad_norm': 3.0447630882263184, 'learning_rate': 4.932936615412769e-05, 'epoch': 0.01}

 12%|█▏        | 1202/10000 [38:17<28:22:27, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0631632804870605, dino_loss: 0.76953125, depth_loss: 0.06937769800424576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9781894683837891, dino_loss: 0.80078125, depth_loss: 0.06602777540683746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1203/10000 [38:29<29:02:02, 11.88s/it]
                                                       
{'loss': 1.8736, 'grad_norm': 1.033819556236267, 'learning_rate': 4.9327462774553166e-05, 'epoch': 0.01}

 12%|█▏        | 1203/10000 [38:29<29:02:02, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0414190292358398, dino_loss: 0.73046875, depth_loss: 0.07237228751182556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0137338638305664, dino_loss: 0.73828125, depth_loss: 0.06586164981126785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1204/10000 [38:41<28:35:14, 11.70s/it]
                                                       
{'loss': 1.8312, 'grad_norm': 3.20300555229187, 'learning_rate': 4.932555673456389e-05, 'epoch': 0.01}

 12%|█▏        | 1204/10000 [38:41<28:35:14, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.045562505722046, dino_loss: 0.7265625, depth_loss: 0.07844532281160355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9468069672584534, dino_loss: 0.7421875, depth_loss: 0.09159377217292786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1205/10000 [38:52<28:15:17, 11.57s/it]
                                                       
{'loss': 1.8157, 'grad_norm': 2.2383058071136475, 'learning_rate': 4.9323648034368316e-05, 'epoch': 0.01}

 12%|█▏        | 1205/10000 [38:52<28:15:17, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1495027542114258, dino_loss: 0.77734375, depth_loss: 0.06365208327770233, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9635698199272156, dino_loss: 0.69921875, depth_loss: 0.05353415757417679, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1206/10000 [39:03<27:51:06, 11.40s/it]
                                                       
{'loss': 1.8536, 'grad_norm': 2.08383846282959, 'learning_rate': 4.932173667417515e-05, 'epoch': 0.01}

 12%|█▏        | 1206/10000 [39:03<27:51:06, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2187782526016235, dino_loss: 0.734375, depth_loss: 0.06514183431863785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.092449426651001, dino_loss: 0.6875, depth_loss: 0.08144398778676987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1207/10000 [39:15<27:56:11, 11.44s/it]
                                                       
{'loss': 1.94, 'grad_norm': 1.684735655784607, 'learning_rate': 4.931982265419344e-05, 'epoch': 0.01}

 12%|█▏        | 1207/10000 [39:15<27:56:11, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9841598868370056, dino_loss: 0.69140625, depth_loss: 0.07682189345359802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.047816276550293, dino_loss: 0.703125, depth_loss: 0.07128462195396423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1208/10000 [39:26<28:18:35, 11.59s/it]
                                                       
{'loss': 1.7875, 'grad_norm': 1.423972249031067, 'learning_rate': 4.9317905974632475e-05, 'epoch': 0.01}

 12%|█▏        | 1208/10000 [39:26<28:18:35, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9385051727294922, dino_loss: 0.6875, depth_loss: 0.09375718981027603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1257905960083008, dino_loss: 0.72265625, depth_loss: 0.06774292886257172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1209/10000 [39:38<27:54:27, 11.43s/it]
                                                       
{'loss': 1.8181, 'grad_norm': 1.4680297374725342, 'learning_rate': 4.931598663570188e-05, 'epoch': 0.01}

 12%|█▏        | 1209/10000 [39:38<27:54:27, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9929900169372559, dino_loss: 0.80078125, depth_loss: 0.07324302196502686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9375084638595581, dino_loss: 0.7265625, depth_loss: 0.08035485446453094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1210/10000 [39:49<28:09:44, 11.53s/it]
                                                       
{'loss': 1.8058, 'grad_norm': 1.8529033660888672, 'learning_rate': 4.931406463761154e-05, 'epoch': 0.01}

 12%|█▏        | 1210/10000 [39:49<28:09:44, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.104198932647705, dino_loss: 0.72265625, depth_loss: 0.08101531863212585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.117013931274414, dino_loss: 0.73046875, depth_loss: 0.058576762676239014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1211/10000 [40:01<28:11:44, 11.55s/it]
                                                       
{'loss': 1.9071, 'grad_norm': 2.7427542209625244, 'learning_rate': 4.931213998057166e-05, 'epoch': 0.01}

 12%|█▏        | 1211/10000 [40:01<28:11:44, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9606802463531494, dino_loss: 0.7109375, depth_loss: 0.07856272161006927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0223605632781982, dino_loss: 0.69921875, depth_loss: 0.07626288384199142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1212/10000 [40:13<28:30:56, 11.68s/it]
                                                       
{'loss': 1.7741, 'grad_norm': 2.3561723232269287, 'learning_rate': 4.93102126647927e-05, 'epoch': 0.01}

 12%|█▏        | 1212/10000 [40:13<28:30:56, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0361688137054443, dino_loss: 0.7890625, depth_loss: 0.08473841845989227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0137580633163452, dino_loss: 0.73046875, depth_loss: 0.07902663201093674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1213/10000 [40:24<28:16:00, 11.58s/it]
                                                       
{'loss': 1.8667, 'grad_norm': 0.9683165550231934, 'learning_rate': 4.930828269048543e-05, 'epoch': 0.01}

 12%|█▏        | 1213/10000 [40:24<28:16:00, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9723675847053528, dino_loss: 0.73828125, depth_loss: 0.08998320251703262, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9408400058746338, dino_loss: 0.73046875, depth_loss: 0.07592817395925522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1214/10000 [40:36<28:04:34, 11.50s/it]
                                                       
{'loss': 1.774, 'grad_norm': 2.084829568862915, 'learning_rate': 4.930635005786091e-05, 'epoch': 0.01}

 12%|█▏        | 1214/10000 [40:36<28:04:34, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8835514783859253, dino_loss: 0.7578125, depth_loss: 0.07388346642255783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0382499694824219, dino_loss: 0.74609375, depth_loss: 0.07001729309558868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1215/10000 [40:47<28:08:43, 11.53s/it]
                                                       
{'loss': 1.7849, 'grad_norm': 1.2246322631835938, 'learning_rate': 4.930441476713049e-05, 'epoch': 0.01}

 12%|█▏        | 1215/10000 [40:47<28:08:43, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1214792728424072, dino_loss: 0.74609375, depth_loss: 0.06793224066495895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.007766604423523, dino_loss: 0.7421875, depth_loss: 0.0706164538860321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1216/10000 [40:59<28:03:28, 11.50s/it]
                                                       
{'loss': 1.8781, 'grad_norm': 1.989516019821167, 'learning_rate': 4.930247681850582e-05, 'epoch': 0.01}

 12%|█▏        | 1216/10000 [40:59<28:03:28, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9864155650138855, dino_loss: 0.69921875, depth_loss: 0.059631749987602234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9349150657653809, dino_loss: 0.73828125, depth_loss: 0.06169471889734268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1217/10000 [41:10<28:03:17, 11.50s/it]
                                                       
{'loss': 1.7403, 'grad_norm': 1.048094391822815, 'learning_rate': 4.930053621219882e-05, 'epoch': 0.01}

 12%|█▏        | 1217/10000 [41:10<28:03:17, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0066816806793213, dino_loss: 0.6953125, depth_loss: 0.062368713319301605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9022912979125977, dino_loss: 0.70703125, depth_loss: 0.0633106604218483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1218/10000 [41:22<28:12:40, 11.56s/it]
                                                       
{'loss': 1.7187, 'grad_norm': 1.3485957384109497, 'learning_rate': 4.929859294842172e-05, 'epoch': 0.01}

 12%|█▏        | 1218/10000 [41:22<28:12:40, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0187344551086426, dino_loss: 0.7734375, depth_loss: 0.07141390442848206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.055389165878296, dino_loss: 0.68359375, depth_loss: 0.05059374123811722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1219/10000 [41:33<27:59:18, 11.47s/it]
                                                       
{'loss': 1.8267, 'grad_norm': 1.6276724338531494, 'learning_rate': 4.9296647027387015e-05, 'epoch': 0.01}

 12%|█▏        | 1219/10000 [41:33<27:59:18, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.092811107635498, dino_loss: 0.71484375, depth_loss: 0.07463158667087555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.007150650024414, dino_loss: 0.71875, depth_loss: 0.052277471870183945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1220/10000 [41:44<27:54:08, 11.44s/it]
                                                       
{'loss': 1.8304, 'grad_norm': 2.4596166610717773, 'learning_rate': 4.929469844930753e-05, 'epoch': 0.01}

 12%|█▏        | 1220/10000 [41:44<27:54:08, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9495881199836731, dino_loss: 0.7265625, depth_loss: 0.09960105270147324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0300735235214233, dino_loss: 0.71875, depth_loss: 0.06919652223587036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1221/10000 [41:56<27:39:40, 11.34s/it]
                                                       
{'loss': 1.7972, 'grad_norm': 1.8605852127075195, 'learning_rate': 4.929274721439634e-05, 'epoch': 0.01}

 12%|█▏        | 1221/10000 [41:56<27:39:40, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9811699986457825, dino_loss: 0.72265625, depth_loss: 0.07108379900455475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0737829208374023, dino_loss: 0.7265625, depth_loss: 0.07013758271932602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1222/10000 [42:07<27:55:05, 11.45s/it]
                                                       
{'loss': 1.823, 'grad_norm': 1.1541024446487427, 'learning_rate': 4.929079332286685e-05, 'epoch': 0.01}

 12%|█▏        | 1222/10000 [42:07<27:55:05, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9355185627937317, dino_loss: 0.765625, depth_loss: 0.055863045156002045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9487438797950745, dino_loss: 0.734375, depth_loss: 0.07736684381961823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1223/10000 [42:19<28:08:38, 11.54s/it]
                                                       
{'loss': 1.7592, 'grad_norm': 3.5439958572387695, 'learning_rate': 4.9288836774932723e-05, 'epoch': 0.01}

 12%|█▏        | 1223/10000 [42:19<28:08:38, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.038217306137085, dino_loss: 0.71875, depth_loss: 0.08569912612438202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0870903730392456, dino_loss: 0.7421875, depth_loss: 0.08065948635339737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1224/10000 [42:31<28:20:46, 11.63s/it]
                                                       
{'loss': 1.8765, 'grad_norm': 1.2599331140518188, 'learning_rate': 4.9286877570807915e-05, 'epoch': 0.01}

 12%|█▏        | 1224/10000 [42:31<28:20:46, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9741309881210327, dino_loss: 0.734375, depth_loss: 0.061933569610118866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0677956342697144, dino_loss: 0.7578125, depth_loss: 0.06714695692062378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1225/10000 [42:42<28:04:29, 11.52s/it]
                                                       
{'loss': 1.8318, 'grad_norm': 1.4835041761398315, 'learning_rate': 4.9284915710706695e-05, 'epoch': 0.01}

 12%|█▏        | 1225/10000 [42:42<28:04:29, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0237572193145752, dino_loss: 0.796875, depth_loss: 0.06477367877960205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052045226097107, dino_loss: 0.77734375, depth_loss: 0.08149103075265884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1226/10000 [42:53<27:47:57, 11.41s/it]
                                                       
{'loss': 1.8984, 'grad_norm': 2.3044614791870117, 'learning_rate': 4.928295119484361e-05, 'epoch': 0.01}

 12%|█▏        | 1226/10000 [42:53<27:47:57, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0148661136627197, dino_loss: 0.7578125, depth_loss: 0.07497040927410126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0947877168655396, dino_loss: 0.7734375, depth_loss: 0.05552563816308975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1227/10000 [43:05<27:48:41, 11.41s/it]
                                                       
{'loss': 1.8859, 'grad_norm': 1.725413203239441, 'learning_rate': 4.928098402343348e-05, 'epoch': 0.01}

 12%|█▏        | 1227/10000 [43:05<27:48:41, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9838614463806152, dino_loss: 0.69140625, depth_loss: 0.054375894367694855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9877204895019531, dino_loss: 0.72265625, depth_loss: 0.07662730664014816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1228/10000 [43:16<27:45:56, 11.39s/it]
                                                       
{'loss': 1.7585, 'grad_norm': 1.758030891418457, 'learning_rate': 4.927901419669145e-05, 'epoch': 0.01}

 12%|█▏        | 1228/10000 [43:16<27:45:56, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.107812762260437, dino_loss: 0.7265625, depth_loss: 0.09508627653121948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1224225759506226, dino_loss: 0.77734375, depth_loss: 0.07168147712945938, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1229/10000 [43:28<27:55:45, 11.46s/it]
                                                       
{'loss': 1.9507, 'grad_norm': 1.3435816764831543, 'learning_rate': 4.9277041714832925e-05, 'epoch': 0.01}

 12%|█▏        | 1229/10000 [43:28<27:55:45, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.066903829574585, dino_loss: 0.73828125, depth_loss: 0.0680008977651596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.971235990524292, dino_loss: 0.7734375, depth_loss: 0.06428956240415573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1230/10000 [43:39<27:47:16, 11.41s/it]
                                                       
{'loss': 1.8412, 'grad_norm': 1.8376082181930542, 'learning_rate': 4.9275066578073626e-05, 'epoch': 0.01}

 12%|█▏        | 1230/10000 [43:39<27:47:16, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1374777555465698, dino_loss: 0.75390625, depth_loss: 0.08271367847919464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0117985010147095, dino_loss: 0.6875, depth_loss: 0.07303117215633392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1231/10000 [43:50<27:35:35, 11.33s/it]
                                                       
{'loss': 1.8734, 'grad_norm': 1.6554052829742432, 'learning_rate': 4.927308878662954e-05, 'epoch': 0.01}

 12%|█▏        | 1231/10000 [43:50<27:35:35, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9587599635124207, dino_loss: 0.77734375, depth_loss: 0.06777440011501312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1154378652572632, dino_loss: 0.74609375, depth_loss: 0.06827335059642792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1232/10000 [44:01<27:20:18, 11.22s/it]
                                                       
{'loss': 1.8671, 'grad_norm': 1.3696298599243164, 'learning_rate': 4.9271108340716955e-05, 'epoch': 0.01}

 12%|█▏        | 1232/10000 [44:01<27:20:18, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0307339429855347, dino_loss: 0.71484375, depth_loss: 0.07130786776542664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1292569637298584, dino_loss: 0.734375, depth_loss: 0.0798226147890091, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1233/10000 [44:12<27:04:40, 11.12s/it]
                                                       
{'loss': 1.8803, 'grad_norm': 1.3664677143096924, 'learning_rate': 4.926912524055245e-05, 'epoch': 0.01}

 12%|█▏        | 1233/10000 [44:12<27:04:40, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0287220478057861, dino_loss: 0.74609375, depth_loss: 0.0776757299900055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9901602268218994, dino_loss: 0.80859375, depth_loss: 0.08337602019309998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1234/10000 [44:23<27:08:22, 11.15s/it]
                                                       
{'loss': 1.8675, 'grad_norm': 1.9583055973052979, 'learning_rate': 4.926713948635291e-05, 'epoch': 0.01}

 12%|█▏        | 1234/10000 [44:23<27:08:22, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0227359533309937, dino_loss: 0.71875, depth_loss: 0.05747320130467415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0645360946655273, dino_loss: 0.71875, depth_loss: 0.06964612752199173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1235/10000 [44:34<27:08:12, 11.15s/it]
                                                       
{'loss': 1.8262, 'grad_norm': 1.3232417106628418, 'learning_rate': 4.926515107833547e-05, 'epoch': 0.01}

 12%|█▏        | 1235/10000 [44:34<27:08:12, 11.15s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0305838584899902, dino_loss: 0.76953125, depth_loss: 0.06537111848592758, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0448122024536133, dino_loss: 0.734375, depth_loss: 0.07079017907381058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1236/10000 [44:45<27:02:34, 11.11s/it]
                                                       
{'loss': 1.858, 'grad_norm': 2.0523736476898193, 'learning_rate': 4.926316001671759e-05, 'epoch': 0.01}

 12%|█▏        | 1236/10000 [44:45<27:02:34, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0988588333129883, dino_loss: 0.73046875, depth_loss: 0.08004248142242432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9642466306686401, dino_loss: 0.75, depth_loss: 0.07441071420907974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1237/10000 [44:57<27:16:47, 11.21s/it]
                                                       
{'loss': 1.8491, 'grad_norm': 1.9233832359313965, 'learning_rate': 4.9261166301717014e-05, 'epoch': 0.01}

 12%|█▏        | 1237/10000 [44:57<27:16:47, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0295499563217163, dino_loss: 0.7109375, depth_loss: 0.07092425972223282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0326321125030518, dino_loss: 0.73046875, depth_loss: 0.07607224583625793, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1238/10000 [45:08<27:00:49, 11.10s/it]
                                                       
{'loss': 1.8254, 'grad_norm': 1.6934845447540283, 'learning_rate': 4.9259169933551765e-05, 'epoch': 0.01}

 12%|█▏        | 1238/10000 [45:08<27:00:49, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.100896954536438, dino_loss: 0.75, depth_loss: 0.0660979151725769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1177325248718262, dino_loss: 0.7421875, depth_loss: 0.08525414764881134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1239/10000 [45:19<26:56:44, 11.07s/it]
                                                       
{'loss': 1.9314, 'grad_norm': 1.158386468887329, 'learning_rate': 4.9257170912440165e-05, 'epoch': 0.01}

 12%|█▏        | 1239/10000 [45:19<26:56:44, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052907109260559, dino_loss: 0.71875, depth_loss: 0.06879854202270508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1184660196304321, dino_loss: 0.73046875, depth_loss: 0.07786218076944351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1240/10000 [45:30<26:58:53, 11.09s/it]
                                                       
{'loss': 1.8837, 'grad_norm': 1.8263996839523315, 'learning_rate': 4.925516923860083e-05, 'epoch': 0.01}

 12%|█▏        | 1240/10000 [45:30<26:58:53, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9802665710449219, dino_loss: 0.69140625, depth_loss: 0.062373287975788116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9759036898612976, dino_loss: 0.75390625, depth_loss: 0.08028145134449005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1241/10000 [45:41<26:58:32, 11.09s/it]
                                                       
{'loss': 1.7722, 'grad_norm': 1.4522002935409546, 'learning_rate': 4.925316491225265e-05, 'epoch': 0.01}

 12%|█▏        | 1241/10000 [45:41<26:58:32, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0801454782485962, dino_loss: 0.703125, depth_loss: 0.05970490351319313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0824289321899414, dino_loss: 0.78125, depth_loss: 0.08939383924007416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1242/10000 [45:52<26:54:43, 11.06s/it]
                                                       
{'loss': 1.8982, 'grad_norm': 1.4005663394927979, 'learning_rate': 4.9251157933614815e-05, 'epoch': 0.01}

 12%|█▏        | 1242/10000 [45:52<26:54:43, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0096133947372437, dino_loss: 0.74609375, depth_loss: 0.05486861988902092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 0.9796741604804993, dino_loss: 0.703125, depth_loss: 0.06949447095394135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1243/10000 [46:03<27:06:24, 11.14s/it]
                                                       
{'loss': 1.7815, 'grad_norm': 2.027334213256836, 'learning_rate': 4.9249148302906816e-05, 'epoch': 0.01}

 12%|█▏        | 1243/10000 [46:03<27:06:24, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.090673804283142, dino_loss: 0.74609375, depth_loss: 0.07022054493427277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0007895231246948, dino_loss: 0.765625, depth_loss: 0.07402768731117249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1244/10000 [46:15<27:38:27, 11.36s/it]
                                                       
{'loss': 1.8738, 'grad_norm': 3.36435604095459, 'learning_rate': 4.924713602034842e-05, 'epoch': 0.01}

 12%|█▏        | 1244/10000 [46:15<27:38:27, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1057326793670654, dino_loss: 0.7109375, depth_loss: 0.07170151174068451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0453743934631348, dino_loss: 0.72265625, depth_loss: 0.08418968319892883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1245/10000 [46:26<27:29:22, 11.30s/it]
                                                       
{'loss': 1.8704, 'grad_norm': 1.5967189073562622, 'learning_rate': 4.9245121086159674e-05, 'epoch': 0.01}

 12%|█▏        | 1245/10000 [46:26<27:29:22, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.949379026889801, dino_loss: 0.7265625, depth_loss: 0.05616762861609459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 1.095736026763916, dino_loss: 0.72265625, depth_loss: 0.0643964633345604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1246/10000 [46:38<27:38:55, 11.37s/it]
                                                       
{'loss': 1.8076, 'grad_norm': 1.671094536781311, 'learning_rate': 4.924310350056094e-05, 'epoch': 0.01}

 12%|█▏        | 1246/10000 [46:38<27:38:55, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0817539691925049, dino_loss: 0.73046875, depth_loss: 0.0767546221613884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0362331867218018, dino_loss: 0.7421875, depth_loss: 0.09330250322818756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1247/10000 [46:49<27:22:35, 11.26s/it]
                                                       
{'loss': 1.8805, 'grad_norm': 1.7592309713363647, 'learning_rate': 4.9241083263772855e-05, 'epoch': 0.01}

 12%|█▏        | 1247/10000 [46:49<27:22:35, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1105048656463623, dino_loss: 0.68359375, depth_loss: 0.08342380076646805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9689903855323792, dino_loss: 0.73828125, depth_loss: 0.06561699509620667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1248/10000 [47:00<27:08:01, 11.16s/it]
                                                       
{'loss': 1.8253, 'grad_norm': 1.3288494348526, 'learning_rate': 4.9239060376016355e-05, 'epoch': 0.01}

 12%|█▏        | 1248/10000 [47:00<27:08:01, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0991348028182983, dino_loss: 0.78515625, depth_loss: 0.07259368896484375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0971755981445312, dino_loss: 0.73828125, depth_loss: 0.08854043483734131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▏        | 1249/10000 [47:11<27:01:09, 11.12s/it]
                                                       
{'loss': 1.9405, 'grad_norm': 1.9537098407745361, 'learning_rate': 4.923703483751265e-05, 'epoch': 0.01}

 12%|█▏        | 1249/10000 [47:11<27:01:09, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0130679607391357, dino_loss: 0.75, depth_loss: 0.07071226835250854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0648322105407715, dino_loss: 0.73828125, depth_loss: 0.06413610279560089, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 12%|█▎        | 1250/10000 [47:22<26:55:40, 11.08s/it]
                                                       
{'loss': 1.8506, 'grad_norm': 1.0627882480621338, 'learning_rate': 4.923500664848326e-05, 'epoch': 0.01}

 12%|█▎        | 1250/10000 [47:22<26:55:40, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1806282997131348, dino_loss: 0.7421875, depth_loss: 0.0766664445400238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0997223854064941, dino_loss: 0.7265625, depth_loss: 0.07324127852916718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1251/10000 [47:32<26:45:10, 11.01s/it]
                                                       
{'loss': 1.9496, 'grad_norm': 1.4585059881210327, 'learning_rate': 4.923297580914998e-05, 'epoch': 0.01}

 13%|█▎        | 1251/10000 [47:32<26:45:10, 11.01s/it]the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0475329160690308, dino_loss: 0.7734375, depth_loss: 0.07649168372154236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0986852645874023, dino_loss: 0.69921875, depth_loss: 0.0601031593978405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1252/10000 [47:44<26:48:21, 11.03s/it]
                                                       
{'loss': 1.8778, 'grad_norm': 1.8898533582687378, 'learning_rate': 4.92309423197349e-05, 'epoch': 0.01}

 13%|█▎        | 1252/10000 [47:44<26:48:21, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9659667611122131, dino_loss: 0.7265625, depth_loss: 0.06854182481765747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9675540924072266, dino_loss: 0.7109375, depth_loss: 0.06577201932668686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1253/10000 [47:55<26:45:13, 11.01s/it]
                                                       
{'loss': 1.7528, 'grad_norm': 1.5207654237747192, 'learning_rate': 4.922890618046039e-05, 'epoch': 0.01}

 13%|█▎        | 1253/10000 [47:55<26:45:13, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.959797203540802, dino_loss: 0.76171875, depth_loss: 0.07735875248908997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0332255363464355, dino_loss: 0.6953125, depth_loss: 0.05596955865621567, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1254/10000 [48:06<27:03:23, 11.14s/it]
                                                       
{'loss': 1.7918, 'grad_norm': 1.2147852182388306, 'learning_rate': 4.9226867391549136e-05, 'epoch': 0.01}

 13%|█▎        | 1254/10000 [48:06<27:03:23, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.027721643447876, dino_loss: 0.73828125, depth_loss: 0.06589274108409882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0319076776504517, dino_loss: 0.74609375, depth_loss: 0.06856285780668259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1255/10000 [48:17<27:19:20, 11.25s/it]
                                                       
{'loss': 1.8394, 'grad_norm': 1.3526878356933594, 'learning_rate': 4.9224825953224084e-05, 'epoch': 0.01}

 13%|█▎        | 1255/10000 [48:17<27:19:20, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.8649957776069641, dino_loss: 0.7578125, depth_loss: 0.08103886991739273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9350757002830505, dino_loss: 0.72265625, depth_loss: 0.06782906502485275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1256/10000 [48:29<27:25:39, 11.29s/it]
                                                       
{'loss': 1.7148, 'grad_norm': 1.4936753511428833, 'learning_rate': 4.922278186570849e-05, 'epoch': 0.01}

 13%|█▎        | 1256/10000 [48:29<27:25:39, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0804460048675537, dino_loss: 0.7578125, depth_loss: 0.07967666536569595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0280579328536987, dino_loss: 0.7265625, depth_loss: 0.0756925567984581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1257/10000 [48:40<26:59:45, 11.12s/it]
                                                       
{'loss': 1.8742, 'grad_norm': 1.0815688371658325, 'learning_rate': 4.922073512922589e-05, 'epoch': 0.01}

 13%|█▎        | 1257/10000 [48:40<26:59:45, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0687116384506226, dino_loss: 0.75390625, depth_loss: 0.061502307653427124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.995510995388031, dino_loss: 0.734375, depth_loss: 0.07786402106285095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1258/10000 [48:51<27:20:11, 11.26s/it]
                                                       
{'loss': 1.846, 'grad_norm': 2.284883975982666, 'learning_rate': 4.921868574400011e-05, 'epoch': 0.01}

 13%|█▎        | 1258/10000 [48:51<27:20:11, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1012368202209473, dino_loss: 0.69921875, depth_loss: 0.06303497403860092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0268607139587402, dino_loss: 0.73828125, depth_loss: 0.05980321019887924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1259/10000 [49:02<27:14:56, 11.22s/it]
                                                       
{'loss': 1.8443, 'grad_norm': 0.731486976146698, 'learning_rate': 4.9216633710255276e-05, 'epoch': 0.01}

 13%|█▎        | 1259/10000 [49:02<27:14:56, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0093365907669067, dino_loss: 0.7421875, depth_loss: 0.06524986773729324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.940781831741333, dino_loss: 0.69921875, depth_loss: 0.06618986278772354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1260/10000 [49:14<27:21:12, 11.27s/it]
                                                       
{'loss': 1.7616, 'grad_norm': 2.83512282371521, 'learning_rate': 4.9214579028215776e-05, 'epoch': 0.01}

 13%|█▎        | 1260/10000 [49:14<27:21:12, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0241913795471191, dino_loss: 0.70703125, depth_loss: 0.06554491817951202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9190831184387207, dino_loss: 0.71484375, depth_loss: 0.07869070023298264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1261/10000 [49:25<27:17:27, 11.24s/it]
                                                       
{'loss': 1.7548, 'grad_norm': 1.4199379682540894, 'learning_rate': 4.921252169810633e-05, 'epoch': 0.01}

 13%|█▎        | 1261/10000 [49:25<27:17:27, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9818058013916016, dino_loss: 0.75, depth_loss: 0.061237696558237076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0075702667236328, dino_loss: 0.7265625, depth_loss: 0.07333861291408539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1262/10000 [49:36<27:15:29, 11.23s/it]
                                                       
{'loss': 1.8004, 'grad_norm': 1.5982848405838013, 'learning_rate': 4.921046172015191e-05, 'epoch': 0.01}

 13%|█▎        | 1262/10000 [49:36<27:15:29, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1406960487365723, dino_loss: 0.765625, depth_loss: 0.08135323971509933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.941618800163269, dino_loss: 0.73828125, depth_loss: 0.07356241345405579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1263/10000 [49:47<26:57:10, 11.11s/it]
                                                       
{'loss': 1.8707, 'grad_norm': 1.4010401964187622, 'learning_rate': 4.920839909457779e-05, 'epoch': 0.01}

 13%|█▎        | 1263/10000 [49:47<26:57:10, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1026725769042969, dino_loss: 0.7421875, depth_loss: 0.0723222941160202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9948745965957642, dino_loss: 0.77734375, depth_loss: 0.07507245242595673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1264/10000 [49:58<26:43:15, 11.01s/it]
                                                       
{'loss': 1.8823, 'grad_norm': 1.732714295387268, 'learning_rate': 4.920633382160955e-05, 'epoch': 0.01}

 13%|█▎        | 1264/10000 [49:58<26:43:15, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.916995108127594, dino_loss: 0.75390625, depth_loss: 0.08754819631576538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.045461654663086, dino_loss: 0.8125, depth_loss: 0.08033183962106705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1265/10000 [50:09<27:07:19, 11.18s/it]
                                                       
{'loss': 1.8485, 'grad_norm': 2.4421274662017822, 'learning_rate': 4.920426590147304e-05, 'epoch': 0.01}

 13%|█▎        | 1265/10000 [50:09<27:07:19, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0106897354125977, dino_loss: 0.69140625, depth_loss: 0.04858085513114929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1543461084365845, dino_loss: 0.73828125, depth_loss: 0.06638159602880478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1266/10000 [50:21<27:50:38, 11.48s/it]
                                                       
{'loss': 1.855, 'grad_norm': 1.7154825925827026, 'learning_rate': 4.92021953343944e-05, 'epoch': 0.01}

 13%|█▎        | 1266/10000 [50:21<27:50:38, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9006553292274475, dino_loss: 0.7265625, depth_loss: 0.07271057367324829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0748488903045654, dino_loss: 0.78125, depth_loss: 0.06910557299852371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1267/10000 [50:32<27:32:38, 11.35s/it]
                                                       
{'loss': 1.8127, 'grad_norm': 1.3120369911193848, 'learning_rate': 4.920012212060005e-05, 'epoch': 0.01}

 13%|█▎        | 1267/10000 [50:32<27:32:38, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9752892851829529, dino_loss: 0.6875, depth_loss: 0.05607961118221283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 1.0650917291641235, dino_loss: 0.73828125, depth_loss: 0.07199832051992416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1268/10000 [50:44<27:19:32, 11.27s/it]
                                                       
{'loss': 1.7972, 'grad_norm': 1.077602744102478, 'learning_rate': 4.919804626031676e-05, 'epoch': 0.01}

 13%|█▎        | 1268/10000 [50:44<27:19:32, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0782876014709473, dino_loss: 0.70703125, depth_loss: 0.07643862068653107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9527010321617126, dino_loss: 0.6953125, depth_loss: 0.05913178250193596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1269/10000 [50:54<27:04:26, 11.16s/it]
                                                       
{'loss': 1.7846, 'grad_norm': 1.4130492210388184, 'learning_rate': 4.919596775377149e-05, 'epoch': 0.01}

 13%|█▎        | 1269/10000 [50:54<27:04:26, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9521312117576599, dino_loss: 0.71875, depth_loss: 0.04825541377067566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9435473084449768, dino_loss: 0.74609375, depth_loss: 0.06268144398927689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1270/10000 [51:06<27:19:17, 11.27s/it]
                                                       
{'loss': 1.7358, 'grad_norm': 1.2219569683074951, 'learning_rate': 4.919388660119156e-05, 'epoch': 0.01}

 13%|█▎        | 1270/10000 [51:06<27:19:17, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9634053707122803, dino_loss: 0.70703125, depth_loss: 0.06393066048622131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.933893620967865, dino_loss: 0.72265625, depth_loss: 0.07551022619009018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1271/10000 [51:17<27:23:01, 11.29s/it]
                                                       
{'loss': 1.7333, 'grad_norm': 1.7677727937698364, 'learning_rate': 4.919180280280458e-05, 'epoch': 0.01}

 13%|█▎        | 1271/10000 [51:17<27:23:01, 11.29s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.183496117591858, dino_loss: 0.7421875, depth_loss: 0.09280281513929367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9626798629760742, dino_loss: 0.7265625, depth_loss: 0.06391533464193344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1272/10000 [51:28<27:11:04, 11.21s/it]
                                                       
{'loss': 1.886, 'grad_norm': 1.4697858095169067, 'learning_rate': 4.918971635883841e-05, 'epoch': 0.01}

 13%|█▎        | 1272/10000 [51:28<27:11:04, 11.21s/it]the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 1.0791988372802734, dino_loss: 0.72265625, depth_loss: 0.07018446177244186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0183953046798706, dino_loss: 0.7265625, depth_loss: 0.07757648080587387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1273/10000 [51:40<27:13:42, 11.23s/it]
                                                       
{'loss': 1.8704, 'grad_norm': 3.9753713607788086, 'learning_rate': 4.918762726952123e-05, 'epoch': 0.01}

 13%|█▎        | 1273/10000 [51:40<27:13:42, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9772721529006958, dino_loss: 0.7578125, depth_loss: 0.0752926915884018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0669381618499756, dino_loss: 0.7421875, depth_loss: 0.07093881070613861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1274/10000 [51:51<27:01:59, 11.15s/it]
                                                       
{'loss': 1.8454, 'grad_norm': 1.4198626279830933, 'learning_rate': 4.9185535535081495e-05, 'epoch': 0.01}

 13%|█▎        | 1274/10000 [51:51<27:01:59, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.086333155632019, dino_loss: 0.734375, depth_loss: 0.05618567019701004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0871522426605225, dino_loss: 0.75390625, depth_loss: 0.06817159056663513, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1275/10000 [52:02<26:57:59, 11.13s/it]
                                                       
{'loss': 1.8935, 'grad_norm': 1.4114727973937988, 'learning_rate': 4.918344115574796e-05, 'epoch': 0.01}

 13%|█▎        | 1275/10000 [52:02<26:57:59, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9138017296791077, dino_loss: 0.72265625, depth_loss: 0.06586228311061859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0788723230361938, dino_loss: 0.73828125, depth_loss: 0.06862375140190125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1276/10000 [52:14<27:36:39, 11.39s/it]
                                                       
{'loss': 1.7945, 'grad_norm': 0.9318772554397583, 'learning_rate': 4.918134413174966e-05, 'epoch': 0.01}

 13%|█▎        | 1276/10000 [52:14<27:36:39, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0524911880493164, dino_loss: 0.79296875, depth_loss: 0.07354135811328888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0240978002548218, dino_loss: 0.74609375, depth_loss: 0.06232890486717224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1277/10000 [52:25<27:34:06, 11.38s/it]
                                                       
{'loss': 1.8759, 'grad_norm': 2.335042715072632, 'learning_rate': 4.917924446331592e-05, 'epoch': 0.01}

 13%|█▎        | 1277/10000 [52:25<27:34:06, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.018525242805481, dino_loss: 0.7421875, depth_loss: 0.07504189014434814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1011255979537964, dino_loss: 0.76171875, depth_loss: 0.06649163365364075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1278/10000 [52:36<27:31:21, 11.36s/it]
                                                       
{'loss': 1.8827, 'grad_norm': 2.0695204734802246, 'learning_rate': 4.9177142150676355e-05, 'epoch': 0.01}

 13%|█▎        | 1278/10000 [52:36<27:31:21, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8819405436515808, dino_loss: 0.68359375, depth_loss: 0.061035141348838806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9499934911727905, dino_loss: 0.73828125, depth_loss: 0.060527361929416656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1279/10000 [52:47<27:23:04, 11.30s/it]
                                                       
{'loss': 1.6878, 'grad_norm': 1.187988519668579, 'learning_rate': 4.917503719406088e-05, 'epoch': 0.01}

 13%|█▎        | 1279/10000 [52:47<27:23:04, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1534323692321777, dino_loss: 0.78125, depth_loss: 0.1044144257903099, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1047618389129639, dino_loss: 0.7265625, depth_loss: 0.08931326866149902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1280/10000 [52:58<27:00:33, 11.15s/it]
                                                       
{'loss': 1.98, 'grad_norm': 1.275360345840454, 'learning_rate': 4.917292959369968e-05, 'epoch': 0.01}

 13%|█▎        | 1280/10000 [52:58<27:00:33, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.059844970703125, dino_loss: 0.69921875, depth_loss: 0.08848870545625687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0622003078460693, dino_loss: 0.76171875, depth_loss: 0.07079864293336868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1281/10000 [53:09<27:02:24, 11.16s/it]
                                                       
{'loss': 1.8712, 'grad_norm': 1.0016882419586182, 'learning_rate': 4.9170819349823244e-05, 'epoch': 0.01}

 13%|█▎        | 1281/10000 [53:09<27:02:24, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1619720458984375, dino_loss: 0.734375, depth_loss: 0.07131980359554291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.141825556755066, dino_loss: 0.7265625, depth_loss: 0.06480169296264648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1282/10000 [53:21<26:57:29, 11.13s/it]
                                                       
{'loss': 1.9505, 'grad_norm': 1.5172919034957886, 'learning_rate': 4.9168706462662344e-05, 'epoch': 0.01}

 13%|█▎        | 1282/10000 [53:21<26:57:29, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0359975099563599, dino_loss: 0.74609375, depth_loss: 0.0799795463681221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.918549656867981, dino_loss: 0.75, depth_loss: 0.0774046778678894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1283/10000 [53:32<26:57:56, 11.14s/it]
                                                       
{'loss': 1.8041, 'grad_norm': 1.7134175300598145, 'learning_rate': 4.9166590932448045e-05, 'epoch': 0.01}

 13%|█▎        | 1283/10000 [53:32<26:57:56, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0345566272735596, dino_loss: 0.6953125, depth_loss: 0.06344008445739746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.199949860572815, dino_loss: 0.6953125, depth_loss: 0.07055093348026276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1284/10000 [53:43<27:06:25, 11.20s/it]
                                                       
{'loss': 1.8797, 'grad_norm': 1.4970893859863281, 'learning_rate': 4.9164472759411695e-05, 'epoch': 0.01}

 13%|█▎        | 1284/10000 [53:43<27:06:25, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 1.0885982513427734, dino_loss: 0.734375, depth_loss: 0.08237399160861969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0482916831970215, dino_loss: 0.75, depth_loss: 0.05974914878606796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1285/10000 [53:54<26:57:55, 11.14s/it]
                                                       
{'loss': 1.8818, 'grad_norm': 2.4538016319274902, 'learning_rate': 4.9162351943784935e-05, 'epoch': 0.01}

 13%|█▎        | 1285/10000 [53:54<26:57:55, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.986717700958252, dino_loss: 0.6796875, depth_loss: 0.07405045628547668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2410093545913696, dino_loss: 0.671875, depth_loss: 0.061079129576683044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1286/10000 [54:05<27:11:36, 11.23s/it]
                                                       
{'loss': 1.8573, 'grad_norm': 1.5952671766281128, 'learning_rate': 4.916022848579969e-05, 'epoch': 0.01}

 13%|█▎        | 1286/10000 [54:05<27:11:36, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0813201665878296, dino_loss: 0.70703125, depth_loss: 0.06795743107795715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.057348608970642, dino_loss: 0.68359375, depth_loss: 0.06578966230154037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1287/10000 [54:17<27:16:53, 11.27s/it]
                                                       
{'loss': 1.8317, 'grad_norm': 2.1946325302124023, 'learning_rate': 4.915810238568819e-05, 'epoch': 0.01}

 13%|█▎        | 1287/10000 [54:17<27:16:53, 11.27s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.9885023832321167, dino_loss: 0.69921875, depth_loss: 0.06274781376123428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1460318565368652, dino_loss: 0.74609375, depth_loss: 0.08161235600709915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1288/10000 [54:28<27:16:03, 11.27s/it]
                                                       
{'loss': 1.8622, 'grad_norm': 2.7667295932769775, 'learning_rate': 4.915597364368292e-05, 'epoch': 0.01}

 13%|█▎        | 1288/10000 [54:28<27:16:03, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0933806896209717, dino_loss: 0.7890625, depth_loss: 0.07130064815282822, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1095813512802124, dino_loss: 0.75, depth_loss: 0.08523808419704437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1289/10000 [54:39<27:00:14, 11.16s/it]
                                                       
{'loss': 1.9494, 'grad_norm': 1.9601869583129883, 'learning_rate': 4.9153842260016704e-05, 'epoch': 0.01}

 13%|█▎        | 1289/10000 [54:39<27:00:14, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.14448881149292, dino_loss: 0.78125, depth_loss: 0.0803988128900528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0713560581207275, dino_loss: 0.703125, depth_loss: 0.0754086896777153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1290/10000 [54:50<26:40:11, 11.02s/it]
                                                       
{'loss': 1.9281, 'grad_norm': 1.1900784969329834, 'learning_rate': 4.9151708234922603e-05, 'epoch': 0.01}

 13%|█▎        | 1290/10000 [54:50<26:40:11, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1422475576400757, dino_loss: 0.71875, depth_loss: 0.05536054074764252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0142755508422852, dino_loss: 0.7421875, depth_loss: 0.06648819148540497, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1291/10000 [55:01<27:00:24, 11.16s/it]
                                                       
{'loss': 1.8698, 'grad_norm': 3.5769097805023193, 'learning_rate': 4.914957156863401e-05, 'epoch': 0.01}

 13%|█▎        | 1291/10000 [55:01<27:00:24, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0075255632400513, dino_loss: 0.7265625, depth_loss: 0.07820481061935425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9191268086433411, dino_loss: 0.65234375, depth_loss: 0.06587358564138412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1292/10000 [55:13<27:25:22, 11.34s/it]
                                                       
{'loss': 1.7249, 'grad_norm': 2.737170457839966, 'learning_rate': 4.914743226138457e-05, 'epoch': 0.01}

 13%|█▎        | 1292/10000 [55:13<27:25:22, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9050338268280029, dino_loss: 0.7890625, depth_loss: 0.08712535351514816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9972420334815979, dino_loss: 0.734375, depth_loss: 0.06227078661322594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1293/10000 [55:24<27:18:22, 11.29s/it]
                                                       
{'loss': 1.7876, 'grad_norm': 1.2054256200790405, 'learning_rate': 4.914529031340825e-05, 'epoch': 0.01}

 13%|█▎        | 1293/10000 [55:24<27:18:22, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0901803970336914, dino_loss: 0.8046875, depth_loss: 0.08525767922401428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9727015495300293, dino_loss: 0.73046875, depth_loss: 0.06571456789970398, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1294/10000 [55:35<27:22:11, 11.32s/it]
                                                       
{'loss': 1.8746, 'grad_norm': 3.631582498550415, 'learning_rate': 4.9143145724939284e-05, 'epoch': 0.01}

 13%|█▎        | 1294/10000 [55:35<27:22:11, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9359169006347656, dino_loss: 0.77734375, depth_loss: 0.06774840503931046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.094556212425232, dino_loss: 0.77734375, depth_loss: 0.07649844884872437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1295/10000 [55:47<27:29:02, 11.37s/it]
                                                       
{'loss': 1.8648, 'grad_norm': 2.6612188816070557, 'learning_rate': 4.91409984962122e-05, 'epoch': 0.01}

 13%|█▎        | 1295/10000 [55:47<27:29:02, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0822930335998535, dino_loss: 0.703125, depth_loss: 0.07976597547531128, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.02909517288208, dino_loss: 0.72265625, depth_loss: 0.08058690279722214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1296/10000 [55:58<27:14:55, 11.27s/it]
                                                       
{'loss': 1.8489, 'grad_norm': 1.0735119581222534, 'learning_rate': 4.913884862746181e-05, 'epoch': 0.01}

 13%|█▎        | 1296/10000 [55:58<27:14:55, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0253033638000488, dino_loss: 0.73828125, depth_loss: 0.07352054119110107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0773561000823975, dino_loss: 0.72265625, depth_loss: 0.06840430200099945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1297/10000 [56:10<27:30:44, 11.38s/it]
                                                       
{'loss': 1.853, 'grad_norm': 1.3620102405548096, 'learning_rate': 4.913669611892323e-05, 'epoch': 0.01}

 13%|█▎        | 1297/10000 [56:10<27:30:44, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0396318435668945, dino_loss: 0.7578125, depth_loss: 0.07632710039615631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0034794807434082, dino_loss: 0.77734375, depth_loss: 0.07254942506551743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1298/10000 [56:21<27:23:29, 11.33s/it]
                                                       
{'loss': 1.8637, 'grad_norm': 2.3715150356292725, 'learning_rate': 4.913454097083185e-05, 'epoch': 0.01}

 13%|█▎        | 1298/10000 [56:21<27:23:29, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9383189678192139, dino_loss: 0.6953125, depth_loss: 0.07598042488098145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2417831420898438, dino_loss: 0.7578125, depth_loss: 0.08869964629411697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1299/10000 [56:32<27:29:29, 11.37s/it]
                                                       
{'loss': 1.8991, 'grad_norm': 1.4152562618255615, 'learning_rate': 4.9132383183423356e-05, 'epoch': 0.01}

 13%|█▎        | 1299/10000 [56:32<27:29:29, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0063459873199463, dino_loss: 0.71875, depth_loss: 0.06799034774303436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0311520099639893, dino_loss: 0.72265625, depth_loss: 0.07408453524112701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1300/10000 [56:43<27:09:55, 11.24s/it]
                                                       
{'loss': 1.8106, 'grad_norm': 1.9300880432128906, 'learning_rate': 4.913022275693372e-05, 'epoch': 0.01}

 13%|█▎        | 1300/10000 [56:43<27:09:55, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.003631591796875, dino_loss: 0.765625, depth_loss: 0.0788593515753746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.196434497833252, dino_loss: 0.70703125, depth_loss: 0.09385278075933456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1301/10000 [56:54<26:57:59, 11.16s/it]
                                                       
{'loss': 1.9228, 'grad_norm': 1.928333044052124, 'learning_rate': 4.9128059691599206e-05, 'epoch': 0.01}

 13%|█▎        | 1301/10000 [56:54<26:57:59, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9030200242996216, dino_loss: 0.78515625, depth_loss: 0.06828583031892776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9640196561813354, dino_loss: 0.6484375, depth_loss: 0.06824532896280289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1302/10000 [57:06<27:15:57, 11.29s/it]
                                                       
{'loss': 1.7187, 'grad_norm': 3.321418285369873, 'learning_rate': 4.912589398765635e-05, 'epoch': 0.01}

 13%|█▎        | 1302/10000 [57:06<27:15:57, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0855517387390137, dino_loss: 0.75, depth_loss: 0.07152919471263885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 1
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8354098796844482, dino_loss: 0.72265625, depth_loss: 0.07128182053565979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1303/10000 [57:17<27:29:03, 11.38s/it]
                                                       
{'loss': 1.7683, 'grad_norm': 1.422747015953064, 'learning_rate': 4.912372564534201e-05, 'epoch': 0.01}

 13%|█▎        | 1303/10000 [57:17<27:29:03, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0490586757659912, dino_loss: 0.72265625, depth_loss: 0.08518513292074203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9387257099151611, dino_loss: 0.640625, depth_loss: 0.04708452150225639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1304/10000 [57:29<27:20:09, 11.32s/it]
                                                       
{'loss': 1.7418, 'grad_norm': 1.040277361869812, 'learning_rate': 4.91215546648933e-05, 'epoch': 0.01}

 13%|█▎        | 1304/10000 [57:29<27:20:09, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1414000988006592, dino_loss: 0.78125, depth_loss: 0.07239116728305817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8484939336776733, dino_loss: 0.70703125, depth_loss: 0.061808545142412186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1305/10000 [57:40<27:22:11, 11.33s/it]
                                                       
{'loss': 1.8063, 'grad_norm': 1.1940758228302002, 'learning_rate': 4.9119381046547636e-05, 'epoch': 0.01}

 13%|█▎        | 1305/10000 [57:40<27:22:11, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0337889194488525, dino_loss: 0.70703125, depth_loss: 0.062156155705451965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0060970783233643, dino_loss: 0.68359375, depth_loss: 0.06721863150596619, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1306/10000 [57:51<27:25:53, 11.36s/it]
                                                       
{'loss': 1.78, 'grad_norm': 1.2477617263793945, 'learning_rate': 4.911720479054272e-05, 'epoch': 0.01}

 13%|█▎        | 1306/10000 [57:51<27:25:53, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0403705835342407, dino_loss: 0.7421875, depth_loss: 0.07686567306518555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0143762826919556, dino_loss: 0.71484375, depth_loss: 0.0759042352437973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1307/10000 [58:03<27:55:02, 11.56s/it]
                                                       
{'loss': 1.8323, 'grad_norm': 1.255989909172058, 'learning_rate': 4.911502589711656e-05, 'epoch': 0.01}

 13%|█▎        | 1307/10000 [58:03<27:55:02, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9812064170837402, dino_loss: 0.72265625, depth_loss: 0.05560650676488876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.063360571861267, dino_loss: 0.796875, depth_loss: 0.08135164529085159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1308/10000 [58:15<28:11:27, 11.68s/it]
                                                       
{'loss': 1.8506, 'grad_norm': 3.495309591293335, 'learning_rate': 4.911284436650742e-05, 'epoch': 0.01}

 13%|█▎        | 1308/10000 [58:15<28:11:27, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0622706413269043, dino_loss: 0.73828125, depth_loss: 0.06049327552318573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.049038290977478, dino_loss: 0.7578125, depth_loss: 0.0832827016711235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1309/10000 [58:27<27:50:27, 11.53s/it]
                                                       
{'loss': 1.8757, 'grad_norm': 1.5969996452331543, 'learning_rate': 4.9110660198953865e-05, 'epoch': 0.01}

 13%|█▎        | 1309/10000 [58:27<27:50:27, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9892894625663757, dino_loss: 0.7421875, depth_loss: 0.06954449415206909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1518160104751587, dino_loss: 0.72265625, depth_loss: 0.0783819630742073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1310/10000 [58:37<27:23:29, 11.35s/it]
                                                       
{'loss': 1.877, 'grad_norm': 1.461681842803955, 'learning_rate': 4.910847339469477e-05, 'epoch': 0.01}

 13%|█▎        | 1310/10000 [58:37<27:23:29, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.887932300567627, dino_loss: 0.66015625, depth_loss: 0.05056058242917061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0057225227355957, dino_loss: 0.703125, depth_loss: 0.059216517955064774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1311/10000 [58:49<27:36:29, 11.44s/it]
                                                       
{'loss': 1.6835, 'grad_norm': 1.699761986732483, 'learning_rate': 4.9106283953969266e-05, 'epoch': 0.01}

 13%|█▎        | 1311/10000 [58:49<27:36:29, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0518019199371338, dino_loss: 0.73828125, depth_loss: 0.07163847982883453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.039568543434143, dino_loss: 0.73828125, depth_loss: 0.05902210250496864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1312/10000 [59:01<27:40:14, 11.47s/it]
                                                       
{'loss': 1.8494, 'grad_norm': 1.2090150117874146, 'learning_rate': 4.910409187701679e-05, 'epoch': 0.01}

 13%|█▎        | 1312/10000 [59:01<27:40:14, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0973029136657715, dino_loss: 0.7265625, depth_loss: 0.0724043920636177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1520437002182007, dino_loss: 0.80078125, depth_loss: 0.104039765894413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1313/10000 [59:12<27:20:53, 11.33s/it]
                                                       
{'loss': 1.9767, 'grad_norm': 1.7570303678512573, 'learning_rate': 4.910189716407707e-05, 'epoch': 0.01}

 13%|█▎        | 1313/10000 [59:12<27:20:53, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9956419467926025, dino_loss: 0.71484375, depth_loss: 0.05711985379457474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.055091142654419, dino_loss: 0.7109375, depth_loss: 0.06335470825433731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1314/10000 [59:23<27:29:36, 11.39s/it]
                                                       
{'loss': 1.7987, 'grad_norm': 1.637498378753662, 'learning_rate': 4.909969981539011e-05, 'epoch': 0.01}

 13%|█▎        | 1314/10000 [59:23<27:29:36, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9961596727371216, dino_loss: 0.7265625, depth_loss: 0.06732943654060364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0781863927841187, dino_loss: 0.7421875, depth_loss: 0.09745602309703827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1315/10000 [59:34<27:17:49, 11.31s/it]
                                                       
{'loss': 1.8541, 'grad_norm': 2.8890786170959473, 'learning_rate': 4.9097499831196216e-05, 'epoch': 0.01}

 13%|█▎        | 1315/10000 [59:34<27:17:49, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.013380527496338, dino_loss: 0.703125, depth_loss: 0.0630963072180748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1196614503860474, dino_loss: 0.765625, depth_loss: 0.08021841943264008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1316/10000 [59:46<27:12:42, 11.28s/it]
                                                       
{'loss': 1.8729, 'grad_norm': 1.2725188732147217, 'learning_rate': 4.9095297211735966e-05, 'epoch': 0.01}

 13%|█▎        | 1316/10000 [59:46<27:12:42, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.064844012260437, dino_loss: 0.7265625, depth_loss: 0.06256916373968124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1071875095367432, dino_loss: 0.75390625, depth_loss: 0.058707647025585175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1317/10000 [59:56<26:52:00, 11.14s/it]
                                                       
{'loss': 1.8872, 'grad_norm': 1.7973047494888306, 'learning_rate': 4.909309195725025e-05, 'epoch': 0.01}

 13%|█▎        | 1317/10000 [59:56<26:52:00, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9764678478240967, dino_loss: 0.7890625, depth_loss: 0.0682859942317009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9848280549049377, dino_loss: 0.69140625, depth_loss: 0.06349381804466248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1318/10000 [1:00:07<26:47:04, 11.11s/it]
                                                         
{'loss': 1.7871, 'grad_norm': 2.116143226623535, 'learning_rate': 4.9090884067980205e-05, 'epoch': 0.01}

 13%|█▎        | 1318/10000 [1:00:07<26:47:04, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0907769203186035, dino_loss: 0.7734375, depth_loss: 0.07271204888820648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0885366201400757, dino_loss: 0.66015625, depth_loss: 0.058877866715192795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1319/10000 [1:00:19<26:50:07, 11.13s/it]
                                                         
{'loss': 1.8725, 'grad_norm': 2.6199309825897217, 'learning_rate': 4.908867354416731e-05, 'epoch': 0.01}

 13%|█▎        | 1319/10000 [1:00:19<26:50:07, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.006358027458191, dino_loss: 0.77734375, depth_loss: 0.07653144747018814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0537999868392944, dino_loss: 0.73046875, depth_loss: 0.07344507426023483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1320/10000 [1:00:30<27:08:06, 11.25s/it]
                                                         
{'loss': 1.8592, 'grad_norm': 1.5852805376052856, 'learning_rate': 4.908646038605329e-05, 'epoch': 0.01}

 13%|█▎        | 1320/10000 [1:00:30<27:08:06, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0627671480178833, dino_loss: 0.75, depth_loss: 0.0656268447637558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0507619380950928, dino_loss: 0.72265625, depth_loss: 0.06706717610359192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1321/10000 [1:00:42<27:20:10, 11.34s/it]
                                                         
{'loss': 1.8596, 'grad_norm': 3.923495292663574, 'learning_rate': 4.908424459388018e-05, 'epoch': 0.01}

 13%|█▎        | 1321/10000 [1:00:42<27:20:10, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9607354402542114, dino_loss: 0.72265625, depth_loss: 0.06601033359766006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 2
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9928415417671204, dino_loss: 0.734375, depth_loss: 0.06456127762794495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1322/10000 [1:00:53<27:13:55, 11.30s/it]
                                                         
{'loss': 1.7707, 'grad_norm': 1.129482626914978, 'learning_rate': 4.9082026167890285e-05, 'epoch': 0.01}

 13%|█▎        | 1322/10000 [1:00:53<27:13:55, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0989723205566406, dino_loss: 0.70703125, depth_loss: 0.06939797103404999, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9760773777961731, dino_loss: 0.66796875, depth_loss: 0.05851423740386963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1323/10000 [1:01:05<27:42:49, 11.50s/it]
                                                         
{'loss': 1.7891, 'grad_norm': 1.7788457870483398, 'learning_rate': 4.9079805108326214e-05, 'epoch': 0.01}

 13%|█▎        | 1323/10000 [1:01:05<27:42:49, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.124971866607666, dino_loss: 0.6796875, depth_loss: 0.06785891205072403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0381438732147217, dino_loss: 0.765625, depth_loss: 0.07387718558311462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1324/10000 [1:01:16<27:32:03, 11.43s/it]
                                                         
{'loss': 1.8752, 'grad_norm': 2.5163111686706543, 'learning_rate': 4.907758141543086e-05, 'epoch': 0.01}

 13%|█▎        | 1324/10000 [1:01:16<27:32:03, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0596840381622314, dino_loss: 0.734375, depth_loss: 0.08485251665115356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0215394496917725, dino_loss: 0.66796875, depth_loss: 0.061807118356227875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1325/10000 [1:01:27<27:27:26, 11.39s/it]
                                                         
{'loss': 1.8152, 'grad_norm': 2.898075580596924, 'learning_rate': 4.907535508944741e-05, 'epoch': 0.01}

 13%|█▎        | 1325/10000 [1:01:27<27:27:26, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0622082948684692, dino_loss: 0.75, depth_loss: 0.07370994240045547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0501060485839844, dino_loss: 0.7578125, depth_loss: 0.08241849392652512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1326/10000 [1:01:39<27:26:08, 11.39s/it]
                                                         
{'loss': 1.8882, 'grad_norm': 1.8418488502502441, 'learning_rate': 4.907312613061931e-05, 'epoch': 0.01}

 13%|█▎        | 1326/10000 [1:01:39<27:26:08, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0845224857330322, dino_loss: 0.74609375, depth_loss: 0.06885676831007004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9487476348876953, dino_loss: 0.7265625, depth_loss: 0.06676671653985977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1327/10000 [1:01:50<27:31:12, 11.42s/it]
                                                         
{'loss': 1.8209, 'grad_norm': 1.5218850374221802, 'learning_rate': 4.9070894539190344e-05, 'epoch': 0.01}

 13%|█▎        | 1327/10000 [1:01:50<27:31:12, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8838145136833191, dino_loss: 0.76953125, depth_loss: 0.07031062245368958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0908998250961304, dino_loss: 0.73046875, depth_loss: 0.06896184384822845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1328/10000 [1:02:01<27:14:12, 11.31s/it]
                                                         
{'loss': 1.8071, 'grad_norm': 1.2311382293701172, 'learning_rate': 4.906866031540453e-05, 'epoch': 0.01}

 13%|█▎        | 1328/10000 [1:02:01<27:14:12, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9904903173446655, dino_loss: 0.72265625, depth_loss: 0.06648123264312744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9901748299598694, dino_loss: 0.7265625, depth_loss: 0.0528719425201416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1329/10000 [1:02:13<27:28:06, 11.40s/it]
                                                         
{'loss': 1.7747, 'grad_norm': 1.275814175605774, 'learning_rate': 4.906642345950622e-05, 'epoch': 0.01}

 13%|█▎        | 1329/10000 [1:02:13<27:28:06, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0339158773422241, dino_loss: 0.7109375, depth_loss: 0.06385774910449982, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0039420127868652, dino_loss: 0.734375, depth_loss: 0.07633909583091736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1330/10000 [1:02:24<27:25:52, 11.39s/it]
                                                         
{'loss': 1.8118, 'grad_norm': 0.9636077284812927, 'learning_rate': 4.906418397174002e-05, 'epoch': 0.01}

 13%|█▎        | 1330/10000 [1:02:24<27:25:52, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0020477771759033, dino_loss: 0.7421875, depth_loss: 0.06802745908498764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.999122142791748, dino_loss: 0.70703125, depth_loss: 0.066790372133255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1331/10000 [1:02:37<28:12:05, 11.71s/it]
                                                         
{'loss': 1.7927, 'grad_norm': 1.6456297636032104, 'learning_rate': 4.906194185235085e-05, 'epoch': 0.01}

 13%|█▎        | 1331/10000 [1:02:37<28:12:05, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1205782890319824, dino_loss: 0.7421875, depth_loss: 0.07809850573539734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0257172584533691, dino_loss: 0.6953125, depth_loss: 0.05716525390744209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1332/10000 [1:02:48<28:04:58, 11.66s/it]
                                                         
{'loss': 1.8596, 'grad_norm': 1.3006504774093628, 'learning_rate': 4.905969710158388e-05, 'epoch': 0.01}

 13%|█▎        | 1332/10000 [1:02:48<28:04:58, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.069765329360962, dino_loss: 0.76953125, depth_loss: 0.06762988120317459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0087844133377075, dino_loss: 0.7578125, depth_loss: 0.07973220944404602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1333/10000 [1:02:59<27:40:04, 11.49s/it]
                                                         
{'loss': 1.8767, 'grad_norm': 1.5756826400756836, 'learning_rate': 4.905744971968461e-05, 'epoch': 0.01}

 13%|█▎        | 1333/10000 [1:02:59<27:40:04, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0245214700698853, dino_loss: 0.7890625, depth_loss: 0.0771535187959671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0409950017929077, dino_loss: 0.75, depth_loss: 0.07428537309169769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1334/10000 [1:03:11<27:43:56, 11.52s/it]
                                                         
{'loss': 1.8781, 'grad_norm': 1.358364224433899, 'learning_rate': 4.9055199706898815e-05, 'epoch': 0.01}

 13%|█▎        | 1334/10000 [1:03:11<27:43:56, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.069676160812378, dino_loss: 0.72265625, depth_loss: 0.07325898110866547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9586121439933777, dino_loss: 0.72265625, depth_loss: 0.05480393022298813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1335/10000 [1:03:23<27:58:23, 11.62s/it]
                                                         
{'loss': 1.8009, 'grad_norm': 1.5803292989730835, 'learning_rate': 4.905294706347255e-05, 'epoch': 0.01}

 13%|█▎        | 1335/10000 [1:03:23<27:58:23, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1049480438232422, dino_loss: 0.73046875, depth_loss: 0.07263816148042679, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0052955150604248, dino_loss: 0.76171875, depth_loss: 0.0688360258936882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1336/10000 [1:03:34<27:28:56, 11.42s/it]
                                                         
{'loss': 1.872, 'grad_norm': 1.3470792770385742, 'learning_rate': 4.905069178965215e-05, 'epoch': 0.01}

 13%|█▎        | 1336/10000 [1:03:34<27:28:56, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9333637952804565, dino_loss: 0.69140625, depth_loss: 0.06772750616073608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0705903768539429, dino_loss: 0.73046875, depth_loss: 0.07151059806346893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1337/10000 [1:03:45<27:29:32, 11.42s/it]
                                                         
{'loss': 1.7826, 'grad_norm': 1.3611164093017578, 'learning_rate': 4.904843388568426e-05, 'epoch': 0.01}

 13%|█▎        | 1337/10000 [1:03:45<27:29:32, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9826505780220032, dino_loss: 0.7109375, depth_loss: 0.06834838539361954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.977867603302002, dino_loss: 0.6796875, depth_loss: 0.07415888458490372, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1338/10000 [1:03:57<27:36:21, 11.47s/it]
                                                         
{'loss': 1.7469, 'grad_norm': 1.393494963645935, 'learning_rate': 4.9046173351815796e-05, 'epoch': 0.01}

 13%|█▎        | 1338/10000 [1:03:57<27:36:21, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9470970630645752, dino_loss: 0.75390625, depth_loss: 0.0915413647890091, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.033562183380127, dino_loss: 0.796875, depth_loss: 0.06858181208372116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1339/10000 [1:04:08<27:44:13, 11.53s/it]
                                                         
{'loss': 1.8459, 'grad_norm': 1.1285642385482788, 'learning_rate': 4.904391018829396e-05, 'epoch': 0.01}

 13%|█▎        | 1339/10000 [1:04:08<27:44:13, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9920283555984497, dino_loss: 0.7265625, depth_loss: 0.07685473561286926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9960680603981018, dino_loss: 0.70703125, depth_loss: 0.052782341837882996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1340/10000 [1:04:20<27:28:59, 11.42s/it]
                                                         
{'loss': 1.7757, 'grad_norm': 1.1060659885406494, 'learning_rate': 4.904164439536626e-05, 'epoch': 0.01}

 13%|█▎        | 1340/10000 [1:04:20<27:28:59, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1484005451202393, dino_loss: 0.7109375, depth_loss: 0.08260533213615417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9428266286849976, dino_loss: 0.734375, depth_loss: 0.0628582090139389, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1341/10000 [1:04:31<27:10:35, 11.30s/it]
                                                         
{'loss': 1.8411, 'grad_norm': 1.2582175731658936, 'learning_rate': 4.903937597328048e-05, 'epoch': 0.01}

 13%|█▎        | 1341/10000 [1:04:31<27:10:35, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0898315906524658, dino_loss: 0.71875, depth_loss: 0.06063668057322502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0936377048492432, dino_loss: 0.72265625, depth_loss: 0.04944708198308945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1342/10000 [1:04:43<27:36:57, 11.48s/it]
                                                         
{'loss': 1.8676, 'grad_norm': 1.0940402746200562, 'learning_rate': 4.9037104922284685e-05, 'epoch': 0.01}

 13%|█▎        | 1342/10000 [1:04:43<27:36:57, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.973503589630127, dino_loss: 0.734375, depth_loss: 0.07011926174163818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0005053281784058, dino_loss: 0.74609375, depth_loss: 0.07590724527835846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1343/10000 [1:04:54<27:43:01, 11.53s/it]
                                                         
{'loss': 1.8003, 'grad_norm': 1.9910162687301636, 'learning_rate': 4.9034831242627226e-05, 'epoch': 0.01}

 13%|█▎        | 1343/10000 [1:04:54<27:43:01, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9694008827209473, dino_loss: 0.7421875, depth_loss: 0.06607282906770706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031823754310608, dino_loss: 0.78515625, depth_loss: 0.05659359693527222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1344/10000 [1:05:06<28:12:42, 11.73s/it]
                                                         
{'loss': 1.8257, 'grad_norm': 1.240732192993164, 'learning_rate': 4.903255493455676e-05, 'epoch': 0.01}

 13%|█▎        | 1344/10000 [1:05:06<28:12:42, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0357537269592285, dino_loss: 0.75, depth_loss: 0.08970282971858978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.067806601524353, dino_loss: 0.7265625, depth_loss: 0.06494539231061935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1345/10000 [1:05:17<27:34:44, 11.47s/it]
                                                         
{'loss': 1.8675, 'grad_norm': 1.409118413925171, 'learning_rate': 4.903027599832223e-05, 'epoch': 0.01}

 13%|█▎        | 1345/10000 [1:05:17<27:34:44, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0957919359207153, dino_loss: 0.73046875, depth_loss: 0.06444773077964783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 1.0871641635894775, dino_loss: 0.73828125, depth_loss: 0.06755059957504272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1346/10000 [1:05:28<26:55:55, 11.20s/it]
                                                         
{'loss': 1.8919, 'grad_norm': 2.5294911861419678, 'learning_rate': 4.9027994434172835e-05, 'epoch': 0.01}

 13%|█▎        | 1346/10000 [1:05:28<26:55:55, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9624992609024048, dino_loss: 0.75390625, depth_loss: 0.09263347834348679, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9929815530776978, dino_loss: 0.71875, depth_loss: 0.07498929649591446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1347/10000 [1:05:39<27:02:08, 11.25s/it]
                                                         
{'loss': 1.7979, 'grad_norm': 1.2260996103286743, 'learning_rate': 4.9025710242358096e-05, 'epoch': 0.01}

 13%|█▎        | 1347/10000 [1:05:39<27:02:08, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9410347938537598, dino_loss: 0.65234375, depth_loss: 0.052010297775268555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0795361995697021, dino_loss: 0.7421875, depth_loss: 0.06155029684305191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1348/10000 [1:05:51<27:04:40, 11.27s/it]
                                                         
{'loss': 1.7644, 'grad_norm': 1.351508617401123, 'learning_rate': 4.902342342312781e-05, 'epoch': 0.01}

 13%|█▎        | 1348/10000 [1:05:51<27:04:40, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0559823513031006, dino_loss: 0.7421875, depth_loss: 0.060438718646764755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0941907167434692, dino_loss: 0.734375, depth_loss: 0.06331294775009155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 13%|█▎        | 1349/10000 [1:06:02<27:23:34, 11.40s/it]
                                                         
{'loss': 1.8753, 'grad_norm': 2.828436851501465, 'learning_rate': 4.9021133976732056e-05, 'epoch': 0.01}

 13%|█▎        | 1349/10000 [1:06:02<27:23:34, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1618263721466064, dino_loss: 0.7578125, depth_loss: 0.08042065054178238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.94866544008255, dino_loss: 0.7734375, depth_loss: 0.07953048497438431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1350/10000 [1:06:14<27:37:23, 11.50s/it]
                                                         
{'loss': 1.9009, 'grad_norm': 2.693063497543335, 'learning_rate': 4.901884190342121e-05, 'epoch': 0.01}

 14%|█▎        | 1350/10000 [1:06:14<27:37:23, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1689221858978271, dino_loss: 0.74609375, depth_loss: 0.07509753853082657, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.919929563999176, dino_loss: 0.71875, depth_loss: 0.07648441195487976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1351/10000 [1:06:25<27:25:35, 11.42s/it]
                                                         
{'loss': 1.8527, 'grad_norm': 2.177013635635376, 'learning_rate': 4.901654720344592e-05, 'epoch': 0.01}

 14%|█▎        | 1351/10000 [1:06:25<27:25:35, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9713868498802185, dino_loss: 0.70703125, depth_loss: 0.07244005799293518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.009332537651062, dino_loss: 0.7109375, depth_loss: 0.06911887228488922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1352/10000 [1:06:36<27:21:11, 11.39s/it]
                                                         
{'loss': 1.7702, 'grad_norm': 2.032668352127075, 'learning_rate': 4.901424987705713e-05, 'epoch': 0.01}

 14%|█▎        | 1352/10000 [1:06:36<27:21:11, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0959937572479248, dino_loss: 0.72265625, depth_loss: 0.06382714956998825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8880941867828369, dino_loss: 0.73046875, depth_loss: 0.07011552155017853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1353/10000 [1:06:48<27:15:46, 11.35s/it]
                                                         
{'loss': 1.7856, 'grad_norm': 1.4322946071624756, 'learning_rate': 4.901194992450609e-05, 'epoch': 0.01}

 14%|█▎        | 1353/10000 [1:06:48<27:15:46, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9898659586906433, dino_loss: 0.79296875, depth_loss: 0.07674923539161682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.054910659790039, dino_loss: 0.71484375, depth_loss: 0.0720611959695816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1354/10000 [1:06:59<26:52:30, 11.19s/it]
                                                         
{'loss': 1.8508, 'grad_norm': 3.160856008529663, 'learning_rate': 4.90096473460443e-05, 'epoch': 0.01}

 14%|█▎        | 1354/10000 [1:06:59<26:52:30, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1967251300811768, dino_loss: 0.71484375, depth_loss: 0.0769377201795578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.033531665802002, dino_loss: 0.7265625, depth_loss: 0.06184620410203934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1355/10000 [1:07:10<26:48:41, 11.16s/it]
                                                         
{'loss': 1.9053, 'grad_norm': 3.257728099822998, 'learning_rate': 4.900734214192358e-05, 'epoch': 0.01}

 14%|█▎        | 1355/10000 [1:07:10<26:48:41, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.071349859237671, dino_loss: 0.68359375, depth_loss: 0.06788352876901627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1595553159713745, dino_loss: 0.78125, depth_loss: 0.07950831204652786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1356/10000 [1:07:21<26:54:22, 11.21s/it]
                                                         
{'loss': 1.9216, 'grad_norm': 1.61920964717865, 'learning_rate': 4.900503431239601e-05, 'epoch': 0.01}

 14%|█▎        | 1356/10000 [1:07:21<26:54:22, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1384022235870361, dino_loss: 0.7421875, depth_loss: 0.073070228099823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9214845895767212, dino_loss: 0.7109375, depth_loss: 0.06284710764884949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1357/10000 [1:07:31<26:22:53, 10.99s/it]
                                                         
{'loss': 1.8252, 'grad_norm': 1.5187935829162598, 'learning_rate': 4.9002723857713986e-05, 'epoch': 0.01}

 14%|█▎        | 1357/10000 [1:07:31<26:22:53, 10.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8834458589553833, dino_loss: 0.6875, depth_loss: 0.0553656741976738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1299755573272705, dino_loss: 0.6875, depth_loss: 0.07522894442081451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1358/10000 [1:07:43<26:51:12, 11.19s/it]
                                                         
{'loss': 1.7596, 'grad_norm': 1.8567732572555542, 'learning_rate': 4.900041077813017e-05, 'epoch': 0.01}

 14%|█▎        | 1358/10000 [1:07:43<26:51:12, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9520062804222107, dino_loss: 0.81640625, depth_loss: 0.0685407742857933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.954552173614502, dino_loss: 0.73828125, depth_loss: 0.08807986229658127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1359/10000 [1:07:54<26:50:23, 11.18s/it]
                                                         
{'loss': 1.809, 'grad_norm': 1.4208694696426392, 'learning_rate': 4.899809507389751e-05, 'epoch': 0.01}

 14%|█▎        | 1359/10000 [1:07:54<26:50:23, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9966385364532471, dino_loss: 0.75, depth_loss: 0.06559769064188004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0106371641159058, dino_loss: 0.76953125, depth_loss: 0.0754372626543045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1360/10000 [1:08:05<26:39:38, 11.11s/it]
                                                         
{'loss': 1.834, 'grad_norm': 2.4759469032287598, 'learning_rate': 4.8995776745269254e-05, 'epoch': 0.01}

 14%|█▎        | 1360/10000 [1:08:05<26:39:38, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0136044025421143, dino_loss: 0.7265625, depth_loss: 0.05320769548416138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9684330821037292, dino_loss: 0.73046875, depth_loss: 0.07359534502029419, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1361/10000 [1:08:16<26:40:43, 11.12s/it]
                                                         
{'loss': 1.783, 'grad_norm': 2.093702793121338, 'learning_rate': 4.8993455792498935e-05, 'epoch': 0.01}

 14%|█▎        | 1361/10000 [1:08:16<26:40:43, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0020915269851685, dino_loss: 0.71484375, depth_loss: 0.0629541352391243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1329280138015747, dino_loss: 0.68359375, depth_loss: 0.07715172320604324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1362/10000 [1:08:28<27:01:36, 11.26s/it]
                                                         
{'loss': 1.8369, 'grad_norm': 0.9825873970985413, 'learning_rate': 4.899113221584036e-05, 'epoch': 0.01}

 14%|█▎        | 1362/10000 [1:08:28<27:01:36, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9230614304542542, dino_loss: 0.7265625, depth_loss: 0.07908813655376434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0014821290969849, dino_loss: 0.74609375, depth_loss: 0.06993388384580612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1363/10000 [1:08:39<26:56:07, 11.23s/it]
                                                         
{'loss': 1.7732, 'grad_norm': 1.4569482803344727, 'learning_rate': 4.898880601554763e-05, 'epoch': 0.01}

 14%|█▎        | 1363/10000 [1:08:39<26:56:07, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0345529317855835, dino_loss: 0.7109375, depth_loss: 0.05924927070736885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9954637885093689, dino_loss: 0.6640625, depth_loss: 0.055229268968105316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1364/10000 [1:08:50<26:36:50, 11.09s/it]
                                                         
{'loss': 1.7598, 'grad_norm': 1.457384467124939, 'learning_rate': 4.898647719187515e-05, 'epoch': 0.01}

 14%|█▎        | 1364/10000 [1:08:50<26:36:50, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1147023439407349, dino_loss: 0.71875, depth_loss: 0.06319603323936462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.135832667350769, dino_loss: 0.7578125, depth_loss: 0.07022584229707718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1365/10000 [1:09:01<26:43:25, 11.14s/it]
                                                         
{'loss': 1.9303, 'grad_norm': 1.4181392192840576, 'learning_rate': 4.8984145745077584e-05, 'epoch': 0.01}

 14%|█▎        | 1365/10000 [1:09:01<26:43:25, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0618553161621094, dino_loss: 0.76171875, depth_loss: 0.0571303553879261, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.006752848625183, dino_loss: 0.7421875, depth_loss: 0.06342370808124542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1366/10000 [1:09:13<26:59:40, 11.26s/it]
                                                         
{'loss': 1.8466, 'grad_norm': 1.3104872703552246, 'learning_rate': 4.89818116754099e-05, 'epoch': 0.01}

 14%|█▎        | 1366/10000 [1:09:13<26:59:40, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9224283695220947, dino_loss: 0.72265625, depth_loss: 0.06478886306285858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0441423654556274, dino_loss: 0.71875, depth_loss: 0.06359638273715973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1367/10000 [1:09:24<26:56:51, 11.24s/it]
                                                         
{'loss': 1.7683, 'grad_norm': 4.076464653015137, 'learning_rate': 4.897947498312735e-05, 'epoch': 0.01}

 14%|█▎        | 1367/10000 [1:09:24<26:56:51, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1817275285720825, dino_loss: 0.69921875, depth_loss: 0.07636939734220505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0357615947723389, dino_loss: 0.6953125, depth_loss: 0.07601157575845718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1368/10000 [1:09:35<26:35:58, 11.09s/it]
                                                         
{'loss': 1.8823, 'grad_norm': 1.2978509664535522, 'learning_rate': 4.897713566848546e-05, 'epoch': 0.01}

 14%|█▎        | 1368/10000 [1:09:35<26:35:58, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1485148668289185, dino_loss: 0.6640625, depth_loss: 0.06897357106208801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9557203054428101, dino_loss: 0.734375, depth_loss: 0.06835540384054184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1369/10000 [1:09:46<26:40:15, 11.12s/it]
                                                         
{'loss': 1.8201, 'grad_norm': 1.2935636043548584, 'learning_rate': 4.8974793731740066e-05, 'epoch': 0.01}

 14%|█▎        | 1369/10000 [1:09:46<26:40:15, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.007758617401123, dino_loss: 0.7734375, depth_loss: 0.09074188768863678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0342249870300293, dino_loss: 0.71875, depth_loss: 0.07907599210739136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1370/10000 [1:09:57<26:37:32, 11.11s/it]
                                                         
{'loss': 1.8521, 'grad_norm': 1.1699429750442505, 'learning_rate': 4.8972449173147276e-05, 'epoch': 0.01}

 14%|█▎        | 1370/10000 [1:09:57<26:37:32, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.032557487487793, dino_loss: 0.6640625, depth_loss: 0.07440686970949173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1141932010650635, dino_loss: 0.765625, depth_loss: 0.0843605026602745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1371/10000 [1:10:09<26:59:49, 11.26s/it]
                                                         
{'loss': 1.8677, 'grad_norm': 1.6967957019805908, 'learning_rate': 4.8970101992963493e-05, 'epoch': 0.01}

 14%|█▎        | 1371/10000 [1:10:09<26:59:49, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9497222304344177, dino_loss: 0.71875, depth_loss: 0.061015401035547256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0863771438598633, dino_loss: 0.79296875, depth_loss: 0.07895012199878693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1372/10000 [1:10:20<27:09:42, 11.33s/it]
                                                         
{'loss': 1.844, 'grad_norm': 2.217393159866333, 'learning_rate': 4.896775219144538e-05, 'epoch': 0.01}

 14%|█▎        | 1372/10000 [1:10:20<27:09:42, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0335220098495483, dino_loss: 0.74609375, depth_loss: 0.07178623229265213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0223512649536133, dino_loss: 0.6640625, depth_loss: 0.07288958132266998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1373/10000 [1:10:32<27:21:56, 11.42s/it]
                                                         
{'loss': 1.8054, 'grad_norm': 1.7761520147323608, 'learning_rate': 4.896539976884994e-05, 'epoch': 0.01}

 14%|█▎        | 1373/10000 [1:10:32<27:21:56, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.07753586769104, dino_loss: 0.76953125, depth_loss: 0.06252922117710114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0588182210922241, dino_loss: 0.7578125, depth_loss: 0.07387381792068481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▎        | 1374/10000 [1:10:43<26:59:19, 11.26s/it]
                                                         
{'loss': 1.9001, 'grad_norm': 2.134040117263794, 'learning_rate': 4.89630447254344e-05, 'epoch': 0.01}

 14%|█▎        | 1374/10000 [1:10:43<26:59:19, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8565605878829956, dino_loss: 0.73046875, depth_loss: 0.08318517357110977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.028149127960205, dino_loss: 0.71484375, depth_loss: 0.0800573080778122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1375/10000 [1:10:54<27:00:00, 11.27s/it]
                                                         
{'loss': 1.7467, 'grad_norm': 1.8075480461120605, 'learning_rate': 4.8960687061456324e-05, 'epoch': 0.01}

 14%|█▍        | 1375/10000 [1:10:54<27:00:00, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0059584379196167, dino_loss: 0.71875, depth_loss: 0.07556401938199997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0113437175750732, dino_loss: 0.7109375, depth_loss: 0.05963442474603653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1376/10000 [1:11:05<26:54:10, 11.23s/it]
                                                         
{'loss': 1.7912, 'grad_norm': 2.137967824935913, 'learning_rate': 4.8958326777173525e-05, 'epoch': 0.01}

 14%|█▍        | 1376/10000 [1:11:05<26:54:10, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9679445028305054, dino_loss: 0.73828125, depth_loss: 0.06936196982860565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0162723064422607, dino_loss: 0.74609375, depth_loss: 0.08852699398994446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1377/10000 [1:11:16<26:45:48, 11.17s/it]
                                                         
{'loss': 1.8133, 'grad_norm': 1.3455866575241089, 'learning_rate': 4.895596387284414e-05, 'epoch': 0.01}

 14%|█▍        | 1377/10000 [1:11:16<26:45:48, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 0.9575151205062866, dino_loss: 0.76953125, depth_loss: 0.07559311389923096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 1.0601688623428345, dino_loss: 0.6484375, depth_loss: 0.054228417575359344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1378/10000 [1:11:27<26:55:49, 11.24s/it]
                                                         
{'loss': 1.7828, 'grad_norm': 3.6329846382141113, 'learning_rate': 4.895359834872656e-05, 'epoch': 0.01}

 14%|█▍        | 1378/10000 [1:11:27<26:55:49, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2061958312988281, dino_loss: 0.68359375, depth_loss: 0.058067891746759415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.134446620941162, dino_loss: 0.77734375, depth_loss: 0.0846657007932663, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1379/10000 [1:11:39<27:22:00, 11.43s/it]
                                                         
{'loss': 1.9723, 'grad_norm': 1.9714648723602295, 'learning_rate': 4.895123020507948e-05, 'epoch': 0.01}

 14%|█▍        | 1379/10000 [1:11:39<27:22:00, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9412379264831543, dino_loss: 0.74609375, depth_loss: 0.0696268379688263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1051974296569824, dino_loss: 0.8046875, depth_loss: 0.05630919709801674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1380/10000 [1:11:50<27:03:39, 11.30s/it]
                                                         
{'loss': 1.8617, 'grad_norm': 2.3921031951904297, 'learning_rate': 4.8948859442161874e-05, 'epoch': 0.01}

 14%|█▍        | 1380/10000 [1:11:50<27:03:39, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.090635895729065, dino_loss: 0.75, depth_loss: 0.06350400298833847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0418686866760254, dino_loss: 0.78125, depth_loss: 0.06452982872724533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1381/10000 [1:12:02<27:23:05, 11.44s/it]
                                                         
{'loss': 1.896, 'grad_norm': 1.8725558519363403, 'learning_rate': 4.8946486060233e-05, 'epoch': 0.01}

 14%|█▍        | 1381/10000 [1:12:02<27:23:05, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9695454835891724, dino_loss: 0.78515625, depth_loss: 0.08225946128368378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0741541385650635, dino_loss: 0.7265625, depth_loss: 0.06609741598367691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1382/10000 [1:12:13<27:01:33, 11.29s/it]
                                                         
{'loss': 1.852, 'grad_norm': 1.7046856880187988, 'learning_rate': 4.8944110059552425e-05, 'epoch': 0.01}

 14%|█▍        | 1382/10000 [1:12:13<27:01:33, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0159474611282349, dino_loss: 0.72265625, depth_loss: 0.06795769184827805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0737470388412476, dino_loss: 0.69140625, depth_loss: 0.06418173015117645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1383/10000 [1:12:24<27:05:40, 11.32s/it]
                                                         
{'loss': 1.8181, 'grad_norm': 3.738715410232544, 'learning_rate': 4.894173144037997e-05, 'epoch': 0.01}

 14%|█▍        | 1383/10000 [1:12:24<27:05:40, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0790311098098755, dino_loss: 0.7421875, depth_loss: 0.07535219192504883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9739831686019897, dino_loss: 0.6953125, depth_loss: 0.0772254467010498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1384/10000 [1:12:36<27:24:41, 11.45s/it]
                                                         
{'loss': 1.8217, 'grad_norm': 3.698493719100952, 'learning_rate': 4.8939350202975756e-05, 'epoch': 0.01}

 14%|█▍        | 1384/10000 [1:12:36<27:24:41, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.022007942199707, dino_loss: 0.73046875, depth_loss: 0.07976114004850388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.04376220703125, dino_loss: 0.73046875, depth_loss: 0.0685875341296196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1385/10000 [1:12:48<27:21:59, 11.44s/it]
                                                         
{'loss': 1.8377, 'grad_norm': 1.3554071187973022, 'learning_rate': 4.893696634760019e-05, 'epoch': 0.01}

 14%|█▍        | 1385/10000 [1:12:48<27:21:59, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0830631256103516, dino_loss: 0.74609375, depth_loss: 0.06356636434793472, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1408864259719849, dino_loss: 0.71484375, depth_loss: 0.07537029683589935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1386/10000 [1:12:58<26:43:11, 11.17s/it]
                                                         
{'loss': 1.912, 'grad_norm': 1.7178629636764526, 'learning_rate': 4.893457987451399e-05, 'epoch': 0.01}

 14%|█▍        | 1386/10000 [1:12:58<26:43:11, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8918070793151855, dino_loss: 0.734375, depth_loss: 0.07439902424812317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9642002582550049, dino_loss: 0.70703125, depth_loss: 0.07199159264564514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1387/10000 [1:13:09<26:38:08, 11.13s/it]
                                                         
{'loss': 1.722, 'grad_norm': 1.7869948148727417, 'learning_rate': 4.8932190783978105e-05, 'epoch': 0.01}

 14%|█▍        | 1387/10000 [1:13:09<26:38:08, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0265817642211914, dino_loss: 0.71875, depth_loss: 0.06527750194072723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0063270330429077, dino_loss: 0.703125, depth_loss: 0.06427309662103653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1388/10000 [1:13:20<26:35:48, 11.12s/it]
                                                         
{'loss': 1.7923, 'grad_norm': 1.9533092975616455, 'learning_rate': 4.892979907625383e-05, 'epoch': 0.01}

 14%|█▍        | 1388/10000 [1:13:20<26:35:48, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0368133783340454, dino_loss: 0.70703125, depth_loss: 0.06230461597442627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0605324506759644, dino_loss: 0.72265625, depth_loss: 0.06516954302787781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1389/10000 [1:13:31<26:37:32, 11.13s/it]
                                                         
{'loss': 1.8274, 'grad_norm': 2.3648841381073, 'learning_rate': 4.892740475160269e-05, 'epoch': 0.01}

 14%|█▍        | 1389/10000 [1:13:31<26:37:32, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.995694100856781, dino_loss: 0.68359375, depth_loss: 0.06043674796819687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.9475207328796387, dino_loss: 0.734375, depth_loss: 0.060445934534072876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1390/10000 [1:13:42<26:31:54, 11.09s/it]
                                                         
{'loss': 1.7412, 'grad_norm': 2.091163158416748, 'learning_rate': 4.8925007810286546e-05, 'epoch': 0.01}

 14%|█▍        | 1390/10000 [1:13:42<26:31:54, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0203948020935059, dino_loss: 0.69921875, depth_loss: 0.057452403008937836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9586907029151917, dino_loss: 0.73046875, depth_loss: 0.06893056631088257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1391/10000 [1:13:54<26:55:54, 11.26s/it]
                                                         
{'loss': 1.7679, 'grad_norm': 1.9107555150985718, 'learning_rate': 4.8922608252567525e-05, 'epoch': 0.01}

 14%|█▍        | 1391/10000 [1:13:54<26:55:54, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0673103332519531, dino_loss: 0.71484375, depth_loss: 0.06119922176003456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0798083543777466, dino_loss: 0.734375, depth_loss: 0.10571527481079102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1392/10000 [1:14:05<26:30:12, 11.08s/it]
                                                         
{'loss': 1.8819, 'grad_norm': 2.6304662227630615, 'learning_rate': 4.892020607870803e-05, 'epoch': 0.01}

 14%|█▍        | 1392/10000 [1:14:05<26:30:12, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1069620847702026, dino_loss: 0.68359375, depth_loss: 0.06351599097251892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0417473316192627, dino_loss: 0.69140625, depth_loss: 0.07718217372894287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1393/10000 [1:14:16<26:24:05, 11.04s/it]
                                                         
{'loss': 1.8325, 'grad_norm': 2.2588391304016113, 'learning_rate': 4.891780128897077e-05, 'epoch': 0.01}

 14%|█▍        | 1393/10000 [1:14:16<26:24:05, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9803248643875122, dino_loss: 0.7109375, depth_loss: 0.047729577869176865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0601295232772827, dino_loss: 0.7890625, depth_loss: 0.08714866638183594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1394/10000 [1:14:27<26:48:37, 11.22s/it]
                                                         
{'loss': 1.8378, 'grad_norm': 1.3935197591781616, 'learning_rate': 4.891539388361871e-05, 'epoch': 0.01}

 14%|█▍        | 1394/10000 [1:14:27<26:48:37, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0132737159729004, dino_loss: 0.6953125, depth_loss: 0.06383807957172394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1657135486602783, dino_loss: 0.7265625, depth_loss: 0.07103131711483002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1395/10000 [1:14:39<27:00:09, 11.30s/it]
                                                         
{'loss': 1.8681, 'grad_norm': 1.4051916599273682, 'learning_rate': 4.891298386291513e-05, 'epoch': 0.01}

 14%|█▍        | 1395/10000 [1:14:39<27:00:09, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0881779193878174, dino_loss: 0.69140625, depth_loss: 0.06710820645093918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0107722282409668, dino_loss: 0.7265625, depth_loss: 0.07522186636924744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1396/10000 [1:14:50<27:04:24, 11.33s/it]
                                                         
{'loss': 1.8297, 'grad_norm': 2.046190023422241, 'learning_rate': 4.891057122712359e-05, 'epoch': 0.01}

 14%|█▍        | 1396/10000 [1:14:50<27:04:24, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0977336168289185, dino_loss: 0.71484375, depth_loss: 0.04991165176033974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0765724182128906, dino_loss: 0.671875, depth_loss: 0.09058883786201477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1397/10000 [1:15:01<26:35:17, 11.13s/it]
                                                         
{'loss': 1.8509, 'grad_norm': 1.240532636642456, 'learning_rate': 4.890815597650793e-05, 'epoch': 0.01}

 14%|█▍        | 1397/10000 [1:15:01<26:35:17, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0478222370147705, dino_loss: 0.67578125, depth_loss: 0.060132209211587906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0275490283966064, dino_loss: 0.70703125, depth_loss: 0.04666266217827797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1398/10000 [1:15:12<26:32:20, 11.11s/it]
                                                         
{'loss': 1.7826, 'grad_norm': 1.2061289548873901, 'learning_rate': 4.8905738111332275e-05, 'epoch': 0.01}

 14%|█▍        | 1398/10000 [1:15:12<26:32:20, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9666832685470581, dino_loss: 0.703125, depth_loss: 0.06494342535734177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.062528133392334, dino_loss: 0.703125, depth_loss: 0.0696411058306694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1399/10000 [1:15:23<26:23:43, 11.05s/it]
                                                         
{'loss': 1.7851, 'grad_norm': 1.1452627182006836, 'learning_rate': 4.890331763186105e-05, 'epoch': 0.01}

 14%|█▍        | 1399/10000 [1:15:23<26:23:43, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0422590970993042, dino_loss: 0.765625, depth_loss: 0.11779982596635818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9905956983566284, dino_loss: 0.77734375, depth_loss: 0.06617385149002075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1400/10000 [1:15:34<26:47:52, 11.22s/it]
                                                         
{'loss': 1.88, 'grad_norm': 1.0357736349105835, 'learning_rate': 4.8900894538358944e-05, 'epoch': 0.01}

 14%|█▍        | 1400/10000 [1:15:34<26:47:52, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9935235977172852, dino_loss: 0.75390625, depth_loss: 0.08533547073602676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0378327369689941, dino_loss: 0.73828125, depth_loss: 0.08245839178562164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1401/10000 [1:15:46<26:46:07, 11.21s/it]
                                                         
{'loss': 1.8457, 'grad_norm': 1.6439528465270996, 'learning_rate': 4.8898468831090946e-05, 'epoch': 0.01}

 14%|█▍        | 1401/10000 [1:15:46<26:46:07, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9822632670402527, dino_loss: 0.71484375, depth_loss: 0.06866710633039474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0311402082443237, dino_loss: 0.7734375, depth_loss: 0.08025696873664856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1402/10000 [1:15:56<26:34:04, 11.12s/it]
                                                         
{'loss': 1.8254, 'grad_norm': 1.5162110328674316, 'learning_rate': 4.8896040510322325e-05, 'epoch': 0.01}

 14%|█▍        | 1402/10000 [1:15:56<26:34:04, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1776747703552246, dino_loss: 0.72265625, depth_loss: 0.06839972734451294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0239523649215698, dino_loss: 0.75, depth_loss: 0.07152511179447174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1403/10000 [1:16:08<26:31:12, 11.11s/it]
                                                         
{'loss': 1.9072, 'grad_norm': 2.9260482788085938, 'learning_rate': 4.8893609576318636e-05, 'epoch': 0.01}

 14%|█▍        | 1403/10000 [1:16:08<26:31:12, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.085943579673767, dino_loss: 0.734375, depth_loss: 0.06601905077695847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9984128475189209, dino_loss: 0.77734375, depth_loss: 0.08122745156288147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1404/10000 [1:16:19<26:37:48, 11.15s/it]
                                                         
{'loss': 1.8718, 'grad_norm': 2.1529452800750732, 'learning_rate': 4.889117602934574e-05, 'epoch': 0.01}

 14%|█▍        | 1404/10000 [1:16:19<26:37:48, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9604302644729614, dino_loss: 0.7734375, depth_loss: 0.0787518322467804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0235360860824585, dino_loss: 0.70703125, depth_loss: 0.06629173457622528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1405/10000 [1:16:30<26:47:03, 11.22s/it]
                                                         
{'loss': 1.8048, 'grad_norm': 1.1687769889831543, 'learning_rate': 4.888873986966974e-05, 'epoch': 0.01}

 14%|█▍        | 1405/10000 [1:16:30<26:47:03, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9740374088287354, dino_loss: 0.7421875, depth_loss: 0.06181492656469345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.952613115310669, dino_loss: 0.7890625, depth_loss: 0.07422950118780136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1406/10000 [1:16:41<26:23:02, 11.05s/it]
                                                         
{'loss': 1.797, 'grad_norm': 0.7722979784011841, 'learning_rate': 4.8886301097557077e-05, 'epoch': 0.01}

 14%|█▍        | 1406/10000 [1:16:41<26:23:02, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.085952639579773, dino_loss: 0.703125, depth_loss: 0.07718928158283234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9255297183990479, dino_loss: 0.72265625, depth_loss: 0.06305423378944397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1407/10000 [1:16:52<26:23:14, 11.05s/it]
                                                         
{'loss': 1.7888, 'grad_norm': 1.5828369855880737, 'learning_rate': 4.8883859713274426e-05, 'epoch': 0.01}

 14%|█▍        | 1407/10000 [1:16:52<26:23:14, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0337450504302979, dino_loss: 0.7109375, depth_loss: 0.055689483880996704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0293073654174805, dino_loss: 0.765625, depth_loss: 0.06545332074165344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1408/10000 [1:17:03<26:25:28, 11.07s/it]
                                                         
{'loss': 1.8305, 'grad_norm': 1.9200654029846191, 'learning_rate': 4.888141571708879e-05, 'epoch': 0.01}

 14%|█▍        | 1408/10000 [1:17:03<26:25:28, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0008633136749268, dino_loss: 0.73828125, depth_loss: 0.06641034781932831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0599321126937866, dino_loss: 0.65234375, depth_loss: 0.06094940006732941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1409/10000 [1:17:14<26:14:06, 10.99s/it]
                                                         
{'loss': 1.7895, 'grad_norm': 2.3463759422302246, 'learning_rate': 4.887896910926744e-05, 'epoch': 0.01}

 14%|█▍        | 1409/10000 [1:17:14<26:14:06, 10.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9231458306312561, dino_loss: 0.75390625, depth_loss: 0.06169124320149422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0487327575683594, dino_loss: 0.73828125, depth_loss: 0.06814630329608917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1410/10000 [1:17:25<26:20:08, 11.04s/it]
                                                         
{'loss': 1.7971, 'grad_norm': 1.4409575462341309, 'learning_rate': 4.8876519890077926e-05, 'epoch': 0.01}

 14%|█▍        | 1410/10000 [1:17:25<26:20:08, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0002681016921997, dino_loss: 0.734375, depth_loss: 0.06308452039957047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.891720712184906, dino_loss: 0.65625, depth_loss: 0.060061246156692505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1411/10000 [1:17:36<26:27:21, 11.09s/it]
                                                         
{'loss': 1.703, 'grad_norm': 1.990561604499817, 'learning_rate': 4.887406805978809e-05, 'epoch': 0.01}

 14%|█▍        | 1411/10000 [1:17:36<26:27:21, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9568001627922058, dino_loss: 0.72265625, depth_loss: 0.07605426758527756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0265306234359741, dino_loss: 0.75, depth_loss: 0.06888169050216675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1412/10000 [1:17:47<26:27:23, 11.09s/it]
                                                         
{'loss': 1.8006, 'grad_norm': 1.5289450883865356, 'learning_rate': 4.887161361866608e-05, 'epoch': 0.01}

 14%|█▍        | 1412/10000 [1:17:47<26:27:23, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1188191175460815, dino_loss: 0.70703125, depth_loss: 0.06661812961101532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.176753282546997, dino_loss: 0.70703125, depth_loss: 0.07606323063373566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1413/10000 [1:17:58<26:32:01, 11.12s/it]
                                                         
{'loss': 1.9263, 'grad_norm': 4.412455081939697, 'learning_rate': 4.8869156566980276e-05, 'epoch': 0.01}

 14%|█▍        | 1413/10000 [1:17:58<26:32:01, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0448483228683472, dino_loss: 0.6953125, depth_loss: 0.06748167425394058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.016014814376831, dino_loss: 0.7734375, depth_loss: 0.06652780622243881, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1414/10000 [1:18:10<26:32:59, 11.13s/it]
                                                         
{'loss': 1.8319, 'grad_norm': 1.8012417554855347, 'learning_rate': 4.886669690499941e-05, 'epoch': 0.01}

 14%|█▍        | 1414/10000 [1:18:10<26:32:59, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9840017557144165, dino_loss: 0.73828125, depth_loss: 0.05960148945450783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2133634090423584, dino_loss: 0.7109375, depth_loss: 0.054906152188777924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1415/10000 [1:18:20<26:16:17, 11.02s/it]
                                                         
{'loss': 1.8807, 'grad_norm': 2.1973876953125, 'learning_rate': 4.8864234632992457e-05, 'epoch': 0.01}

 14%|█▍        | 1415/10000 [1:18:20<26:16:17, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1260267496109009, dino_loss: 0.7265625, depth_loss: 0.06028283014893532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9374241828918457, dino_loss: 0.6875, depth_loss: 0.06663677841424942, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1416/10000 [1:18:32<26:26:08, 11.09s/it]
                                                         
{'loss': 1.8023, 'grad_norm': 5.839619159698486, 'learning_rate': 4.886176975122867e-05, 'epoch': 0.01}

 14%|█▍        | 1416/10000 [1:18:32<26:26:08, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8776874542236328, dino_loss: 0.671875, depth_loss: 0.0620400495827198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.134427547454834, dino_loss: 0.75, depth_loss: 0.1027212142944336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1417/10000 [1:18:43<26:26:30, 11.09s/it]
                                                         
{'loss': 1.7997, 'grad_norm': 1.1625697612762451, 'learning_rate': 4.885930225997763e-05, 'epoch': 0.01}

 14%|█▍        | 1417/10000 [1:18:43<26:26:30, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0224109888076782, dino_loss: 0.71875, depth_loss: 0.0615052655339241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9848796129226685, dino_loss: 0.73828125, depth_loss: 0.06276547908782959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1418/10000 [1:18:54<26:15:10, 11.01s/it]
                                                         
{'loss': 1.7944, 'grad_norm': 1.6151061058044434, 'learning_rate': 4.8856832159509156e-05, 'epoch': 0.01}

 14%|█▍        | 1418/10000 [1:18:54<26:15:10, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9818019866943359, dino_loss: 0.7109375, depth_loss: 0.07714004814624786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.9874396324157715, dino_loss: 0.7578125, depth_loss: 0.06755176186561584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1419/10000 [1:19:04<26:08:06, 10.96s/it]
                                                         
{'loss': 1.7914, 'grad_norm': 1.1015950441360474, 'learning_rate': 4.88543594500934e-05, 'epoch': 0.01}

 14%|█▍        | 1419/10000 [1:19:04<26:08:06, 10.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0063695907592773, dino_loss: 0.734375, depth_loss: 0.06871441006660461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.128633975982666, dino_loss: 0.6875, depth_loss: 0.06711506843566895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1420/10000 [1:19:16<26:40:24, 11.19s/it]
                                                         
{'loss': 1.8464, 'grad_norm': 2.0917861461639404, 'learning_rate': 4.885188413200075e-05, 'epoch': 0.01}

 14%|█▍        | 1420/10000 [1:19:16<26:40:24, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9405209422111511, dino_loss: 0.703125, depth_loss: 0.049508869647979736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0264573097229004, dino_loss: 0.72265625, depth_loss: 0.07392382621765137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1421/10000 [1:19:27<26:44:53, 11.22s/it]
                                                         
{'loss': 1.7582, 'grad_norm': 2.4529812335968018, 'learning_rate': 4.884940620550191e-05, 'epoch': 0.01}

 14%|█▍        | 1421/10000 [1:19:27<26:44:53, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1055681705474854, dino_loss: 0.75390625, depth_loss: 0.06878888607025146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0246076583862305, dino_loss: 0.75, depth_loss: 0.0707397386431694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1422/10000 [1:19:38<26:35:22, 11.16s/it]
                                                         
{'loss': 1.8869, 'grad_norm': 2.761348247528076, 'learning_rate': 4.8846925670867865e-05, 'epoch': 0.01}

 14%|█▍        | 1422/10000 [1:19:38<26:35:22, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9370391964912415, dino_loss: 0.71875, depth_loss: 0.07753226161003113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0900249481201172, dino_loss: 0.671875, depth_loss: 0.06949897855520248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1423/10000 [1:19:49<26:23:27, 11.08s/it]
                                                         
{'loss': 1.7825, 'grad_norm': 2.008761405944824, 'learning_rate': 4.884444252836988e-05, 'epoch': 0.01}

 14%|█▍        | 1423/10000 [1:19:49<26:23:27, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0326745510101318, dino_loss: 0.76953125, depth_loss: 0.06687858700752258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0302575826644897, dino_loss: 0.72265625, depth_loss: 0.08256829530000687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1424/10000 [1:20:01<26:53:06, 11.29s/it]
                                                         
{'loss': 1.8542, 'grad_norm': 3.652027130126953, 'learning_rate': 4.884195677827952e-05, 'epoch': 0.01}

 14%|█▍        | 1424/10000 [1:20:01<26:53:06, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.9803162813186646, dino_loss: 0.71875, depth_loss: 0.06891914457082748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0152344703674316, dino_loss: 0.7265625, depth_loss: 0.08685029298067093, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1425/10000 [1:20:12<26:45:53, 11.24s/it]
                                                         
{'loss': 1.7984, 'grad_norm': 5.074100971221924, 'learning_rate': 4.8839468420868606e-05, 'epoch': 0.01}

 14%|█▍        | 1425/10000 [1:20:12<26:45:53, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.016562819480896, dino_loss: 0.7421875, depth_loss: 0.06868789345026016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0906987190246582, dino_loss: 0.703125, depth_loss: 0.052784912288188934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1426/10000 [1:20:23<26:41:25, 11.21s/it]
                                                         
{'loss': 1.8371, 'grad_norm': 1.1754209995269775, 'learning_rate': 4.8836977456409274e-05, 'epoch': 0.01}

 14%|█▍        | 1426/10000 [1:20:23<26:41:25, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9752925634384155, dino_loss: 0.67578125, depth_loss: 0.05436704307794571, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0156038999557495, dino_loss: 0.70703125, depth_loss: 0.07092032581567764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1427/10000 [1:20:34<26:29:56, 11.13s/it]
                                                         
{'loss': 1.7496, 'grad_norm': 1.4902386665344238, 'learning_rate': 4.883448388517391e-05, 'epoch': 0.01}

 14%|█▍        | 1427/10000 [1:20:34<26:29:56, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9609274864196777, dino_loss: 0.70703125, depth_loss: 0.0640062540769577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9853433966636658, dino_loss: 0.6875, depth_loss: 0.07060720026493073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1428/10000 [1:20:46<27:05:03, 11.37s/it]
                                                         
{'loss': 1.7378, 'grad_norm': 1.7821979522705078, 'learning_rate': 4.883198770743524e-05, 'epoch': 0.01}

 14%|█▍        | 1428/10000 [1:20:46<27:05:03, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1341547966003418, dino_loss: 0.69921875, depth_loss: 0.07535181939601898, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0253299474716187, dino_loss: 0.78125, depth_loss: 0.05856306850910187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1429/10000 [1:20:57<26:34:37, 11.16s/it]
                                                         
{'loss': 1.887, 'grad_norm': 3.944613218307495, 'learning_rate': 4.882948892346622e-05, 'epoch': 0.01}

 14%|█▍        | 1429/10000 [1:20:57<26:34:37, 11.16s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.049962043762207, dino_loss: 0.69921875, depth_loss: 0.04941802844405174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9268876910209656, dino_loss: 0.75390625, depth_loss: 0.08724143356084824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1430/10000 [1:21:08<26:28:56, 11.12s/it]
                                                         
{'loss': 1.7834, 'grad_norm': 2.571971893310547, 'learning_rate': 4.8826987533540114e-05, 'epoch': 0.01}

 14%|█▍        | 1430/10000 [1:21:08<26:28:56, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0658020973205566, dino_loss: 0.74609375, depth_loss: 0.07713201642036438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1042131185531616, dino_loss: 0.77734375, depth_loss: 0.07703249156475067, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1431/10000 [1:21:19<26:36:46, 11.18s/it]
                                                         
{'loss': 1.9239, 'grad_norm': 4.4391021728515625, 'learning_rate': 4.882448353793048e-05, 'epoch': 0.01}

 14%|█▍        | 1431/10000 [1:21:19<26:36:46, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0397096872329712, dino_loss: 0.7109375, depth_loss: 0.05255293846130371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0593942403793335, dino_loss: 0.69921875, depth_loss: 0.08071590960025787, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1432/10000 [1:21:30<26:33:20, 11.16s/it]
                                                         
{'loss': 1.8214, 'grad_norm': 1.0481674671173096, 'learning_rate': 4.8821976936911134e-05, 'epoch': 0.01}

 14%|█▍        | 1432/10000 [1:21:30<26:33:20, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0174345970153809, dino_loss: 0.7109375, depth_loss: 0.08823467791080475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0496280193328857, dino_loss: 0.74609375, depth_loss: 0.0676027461886406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1433/10000 [1:21:41<26:30:49, 11.14s/it]
                                                         
{'loss': 1.8401, 'grad_norm': 1.9484331607818604, 'learning_rate': 4.881946773075622e-05, 'epoch': 0.01}

 14%|█▍        | 1433/10000 [1:21:41<26:30:49, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9767340421676636, dino_loss: 0.76171875, depth_loss: 0.07778895646333694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9988669753074646, dino_loss: 0.734375, depth_loss: 0.06041482090950012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1434/10000 [1:21:53<26:28:26, 11.13s/it]
                                                         
{'loss': 1.805, 'grad_norm': 0.9597821235656738, 'learning_rate': 4.8816955919740115e-05, 'epoch': 0.01}

 14%|█▍        | 1434/10000 [1:21:53<26:28:26, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0256882905960083, dino_loss: 0.734375, depth_loss: 0.07190342247486115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9768179059028625, dino_loss: 0.7421875, depth_loss: 0.09652955085039139, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1435/10000 [1:22:03<26:20:12, 11.07s/it]
                                                         
{'loss': 1.8238, 'grad_norm': 1.5853670835494995, 'learning_rate': 4.8814441504137534e-05, 'epoch': 0.01}

 14%|█▍        | 1435/10000 [1:22:03<26:20:12, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1140962839126587, dino_loss: 0.75390625, depth_loss: 0.061972394585609436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9724090099334717, dino_loss: 0.6953125, depth_loss: 0.05754659324884415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1436/10000 [1:22:15<26:17:44, 11.05s/it]
                                                         
{'loss': 1.8277, 'grad_norm': 1.5810338258743286, 'learning_rate': 4.881192448422342e-05, 'epoch': 0.01}

 14%|█▍        | 1436/10000 [1:22:15<26:17:44, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0477792024612427, dino_loss: 0.73828125, depth_loss: 0.06766443699598312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.041126012802124, dino_loss: 0.6796875, depth_loss: 0.06929796934127808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1437/10000 [1:22:25<25:58:47, 10.92s/it]
                                                         
{'loss': 1.822, 'grad_norm': 2.3278613090515137, 'learning_rate': 4.880940486027305e-05, 'epoch': 0.01}

 14%|█▍        | 1437/10000 [1:22:25<25:58:47, 10.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9952611923217773, dino_loss: 0.7265625, depth_loss: 0.06061749532818794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0444610118865967, dino_loss: 0.73046875, depth_loss: 0.06468160450458527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1438/10000 [1:22:36<26:04:27, 10.96s/it]
                                                         
{'loss': 1.8113, 'grad_norm': 3.090679168701172, 'learning_rate': 4.880688263256197e-05, 'epoch': 0.01}

 14%|█▍        | 1438/10000 [1:22:36<26:04:27, 10.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.012538194656372, dino_loss: 0.70703125, depth_loss: 0.07686153799295425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.007279634475708, dino_loss: 0.7109375, depth_loss: 0.05446704104542732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1439/10000 [1:22:48<26:33:32, 11.17s/it]
                                                         
{'loss': 1.7847, 'grad_norm': 1.5313953161239624, 'learning_rate': 4.8804357801365985e-05, 'epoch': 0.01}

 14%|█▍        | 1439/10000 [1:22:48<26:33:32, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9556735754013062, dino_loss: 0.71484375, depth_loss: 0.06295250356197357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0600104331970215, dino_loss: 0.6953125, depth_loss: 0.0661124661564827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1440/10000 [1:22:59<26:29:21, 11.14s/it]
                                                         
{'loss': 1.7777, 'grad_norm': 1.230023741722107, 'learning_rate': 4.880183036696123e-05, 'epoch': 0.01}

 14%|█▍        | 1440/10000 [1:22:59<26:29:21, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0214327573776245, dino_loss: 0.69140625, depth_loss: 0.06439919769763947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.990719199180603, dino_loss: 0.74609375, depth_loss: 0.07596614211797714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1441/10000 [1:23:11<26:58:47, 11.35s/it]
                                                         
{'loss': 1.7954, 'grad_norm': 1.4640930891036987, 'learning_rate': 4.879930032962409e-05, 'epoch': 0.01}

 14%|█▍        | 1441/10000 [1:23:11<26:58:47, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1332321166992188, dino_loss: 0.72265625, depth_loss: 0.08519729971885681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0506889820098877, dino_loss: 0.73828125, depth_loss: 0.06096283346414566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1442/10000 [1:23:22<26:40:23, 11.22s/it]
                                                         
{'loss': 1.896, 'grad_norm': 0.921897828578949, 'learning_rate': 4.879676768963124e-05, 'epoch': 0.01}

 14%|█▍        | 1442/10000 [1:23:22<26:40:23, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0012999773025513, dino_loss: 0.71875, depth_loss: 0.08646514266729355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9387458562850952, dino_loss: 0.65625, depth_loss: 0.05087565630674362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1443/10000 [1:23:33<26:56:03, 11.33s/it]
                                                         
{'loss': 1.7267, 'grad_norm': 1.1121348142623901, 'learning_rate': 4.8794232447259656e-05, 'epoch': 0.01}

 14%|█▍        | 1443/10000 [1:23:33<26:56:03, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1320078372955322, dino_loss: 0.76171875, depth_loss: 0.07742168754339218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0008915662765503, dino_loss: 0.74609375, depth_loss: 0.062059082090854645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1444/10000 [1:23:44<26:40:33, 11.22s/it]
                                                         
{'loss': 1.8905, 'grad_norm': 1.1427109241485596, 'learning_rate': 4.879169460278659e-05, 'epoch': 0.01}

 14%|█▍        | 1444/10000 [1:23:44<26:40:33, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9201368689537048, dino_loss: 0.69140625, depth_loss: 0.07106746733188629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0116620063781738, dino_loss: 0.71875, depth_loss: 0.0628143921494484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1445/10000 [1:23:55<26:28:34, 11.14s/it]
                                                         
{'loss': 1.7388, 'grad_norm': 1.4663699865341187, 'learning_rate': 4.878915415648957e-05, 'epoch': 0.01}

 14%|█▍        | 1445/10000 [1:23:55<26:28:34, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0173664093017578, dino_loss: 0.76953125, depth_loss: 0.07108989357948303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1590309143066406, dino_loss: 0.70703125, depth_loss: 0.06522910296916962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1446/10000 [1:24:06<26:17:11, 11.06s/it]
                                                         
{'loss': 1.8948, 'grad_norm': 1.8921089172363281, 'learning_rate': 4.878661110864642e-05, 'epoch': 0.01}

 14%|█▍        | 1446/10000 [1:24:06<26:17:11, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9851218461990356, dino_loss: 0.71875, depth_loss: 0.06441693753004074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9491922855377197, dino_loss: 0.7890625, depth_loss: 0.05527950078248978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1447/10000 [1:24:17<26:29:05, 11.15s/it]
                                                         
{'loss': 1.7811, 'grad_norm': 2.2921788692474365, 'learning_rate': 4.8784065459535246e-05, 'epoch': 0.01}

 14%|█▍        | 1447/10000 [1:24:17<26:29:05, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0195813179016113, dino_loss: 0.765625, depth_loss: 0.07230507582426071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0459449291229248, dino_loss: 0.69140625, depth_loss: 0.0699232891201973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1448/10000 [1:24:28<26:12:35, 11.03s/it]
                                                         
{'loss': 1.8325, 'grad_norm': 3.003842353820801, 'learning_rate': 4.8781517209434426e-05, 'epoch': 0.01}

 14%|█▍        | 1448/10000 [1:24:28<26:12:35, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0367738008499146, dino_loss: 0.6953125, depth_loss: 0.07304249703884125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.117928147315979, dino_loss: 0.75, depth_loss: 0.09150198101997375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1449/10000 [1:24:39<26:10:31, 11.02s/it]
                                                         
{'loss': 1.8824, 'grad_norm': 1.8661596775054932, 'learning_rate': 4.877896635862263e-05, 'epoch': 0.01}

 14%|█▍        | 1449/10000 [1:24:39<26:10:31, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0893588066101074, dino_loss: 0.6875, depth_loss: 0.05871520936489105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9898022413253784, dino_loss: 0.73828125, depth_loss: 0.06833849102258682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 14%|█▍        | 1450/10000 [1:24:50<26:16:30, 11.06s/it]
                                                         
{'loss': 1.8161, 'grad_norm': 2.218923568725586, 'learning_rate': 4.877641290737884e-05, 'epoch': 0.01}

 14%|█▍        | 1450/10000 [1:24:50<26:16:30, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1072038412094116, dino_loss: 0.7109375, depth_loss: 0.07213357836008072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9653202891349792, dino_loss: 0.75390625, depth_loss: 0.06344249844551086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1451/10000 [1:25:01<26:12:06, 11.03s/it]
                                                         
{'loss': 1.8365, 'grad_norm': 1.1655323505401611, 'learning_rate': 4.877385685598228e-05, 'epoch': 0.01}

 15%|█▍        | 1451/10000 [1:25:01<26:12:06, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1402572393417358, dino_loss: 0.75, depth_loss: 0.07198040932416916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0255440473556519, dino_loss: 0.7578125, depth_loss: 0.09066887944936752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1452/10000 [1:25:12<26:12:54, 11.04s/it]
                                                         
{'loss': 1.9182, 'grad_norm': 1.4436569213867188, 'learning_rate': 4.877129820471247e-05, 'epoch': 0.01}

 15%|█▍        | 1452/10000 [1:25:12<26:12:54, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9291127920150757, dino_loss: 0.70703125, depth_loss: 0.0719270408153534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9507169723510742, dino_loss: 0.6875, depth_loss: 0.06630319356918335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1453/10000 [1:25:24<26:40:34, 11.24s/it]
                                                         
{'loss': 1.7064, 'grad_norm': 2.4988341331481934, 'learning_rate': 4.8768736953849234e-05, 'epoch': 0.01}

 15%|█▍        | 1453/10000 [1:25:24<26:40:34, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0840353965759277, dino_loss: 0.7265625, depth_loss: 0.06299849599599838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1187121868133545, dino_loss: 0.7421875, depth_loss: 0.07177059352397919, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1454/10000 [1:25:35<26:27:29, 11.15s/it]
                                                         
{'loss': 1.9032, 'grad_norm': 2.9407799243927, 'learning_rate': 4.876617310367265e-05, 'epoch': 0.01}

 15%|█▍        | 1454/10000 [1:25:35<26:27:29, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0781623125076294, dino_loss: 0.71484375, depth_loss: 0.053327325731515884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9819756746292114, dino_loss: 0.6484375, depth_loss: 0.060416679829359055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1455/10000 [1:25:46<26:30:13, 11.17s/it]
                                                         
{'loss': 1.7687, 'grad_norm': 1.3968299627304077, 'learning_rate': 4.876360665446312e-05, 'epoch': 0.01}

 15%|█▍        | 1455/10000 [1:25:46<26:30:13, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9721856117248535, dino_loss: 0.7421875, depth_loss: 0.07535547763109207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.103027105331421, dino_loss: 0.7578125, depth_loss: 0.07372396439313889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1456/10000 [1:25:58<27:01:27, 11.39s/it]
                                                         
{'loss': 1.9494, 'grad_norm': 55.6673583984375, 'learning_rate': 4.876103760650129e-05, 'epoch': 0.01}

 15%|█▍        | 1456/10000 [1:25:58<27:01:27, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9516296982765198, dino_loss: 0.7265625, depth_loss: 0.09894788265228271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1217432022094727, dino_loss: 0.71875, depth_loss: 0.07074835896492004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1457/10000 [1:26:10<27:06:11, 11.42s/it]
                                                         
{'loss': 1.8443, 'grad_norm': 2.259777307510376, 'learning_rate': 4.8758465960068113e-05, 'epoch': 0.01}

 15%|█▍        | 1457/10000 [1:26:10<27:06:11, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.040421724319458, dino_loss: 0.74609375, depth_loss: 0.08520114421844482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9935585856437683, dino_loss: 0.78515625, depth_loss: 0.07362375408411026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1458/10000 [1:26:21<26:51:25, 11.32s/it]
                                                         
{'loss': 1.8621, 'grad_norm': 2.2596142292022705, 'learning_rate': 4.8755891715444814e-05, 'epoch': 0.01}

 15%|█▍        | 1458/10000 [1:26:21<26:51:25, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0850015878677368, dino_loss: 0.765625, depth_loss: 0.06824163347482681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0875229835510254, dino_loss: 0.72265625, depth_loss: 0.0576237291097641, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1459/10000 [1:26:32<26:46:04, 11.28s/it]
                                                         
{'loss': 1.8934, 'grad_norm': 1.064209222793579, 'learning_rate': 4.875331487291292e-05, 'epoch': 0.01}

 15%|█▍        | 1459/10000 [1:26:32<26:46:04, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.037922739982605, dino_loss: 0.7265625, depth_loss: 0.07980848848819733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.002820372581482, dino_loss: 0.7265625, depth_loss: 0.07031723856925964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1460/10000 [1:26:43<26:57:39, 11.37s/it]
                                                         
{'loss': 1.8221, 'grad_norm': 1.4731348752975464, 'learning_rate': 4.875073543275422e-05, 'epoch': 0.01}

 15%|█▍        | 1460/10000 [1:26:43<26:57:39, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0712409019470215, dino_loss: 0.71484375, depth_loss: 0.05382217839360237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.150644063949585, dino_loss: 0.6484375, depth_loss: 0.09048065543174744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1461/10000 [1:26:54<26:33:52, 11.20s/it]
                                                         
{'loss': 1.8649, 'grad_norm': 1.1267800331115723, 'learning_rate': 4.87481533952508e-05, 'epoch': 0.01}

 15%|█▍        | 1461/10000 [1:26:54<26:33:52, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1191049814224243, dino_loss: 0.67578125, depth_loss: 0.07541560381650925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0185505151748657, dino_loss: 0.703125, depth_loss: 0.04740721359848976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1462/10000 [1:27:06<27:03:55, 11.41s/it]
                                                         
{'loss': 1.8198, 'grad_norm': 1.0844361782073975, 'learning_rate': 4.8745568760685035e-05, 'epoch': 0.01}

 15%|█▍        | 1462/10000 [1:27:06<27:03:55, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.093155026435852, dino_loss: 0.7421875, depth_loss: 0.07745440304279327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0014430284500122, dino_loss: 0.7421875, depth_loss: 0.07225564867258072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1463/10000 [1:27:17<26:30:53, 11.18s/it]
                                                         
{'loss': 1.8644, 'grad_norm': 3.615532636642456, 'learning_rate': 4.8742981529339565e-05, 'epoch': 0.01}

 15%|█▍        | 1463/10000 [1:27:17<26:30:53, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0217711925506592, dino_loss: 0.76953125, depth_loss: 0.07145049422979355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8996587991714478, dino_loss: 0.70703125, depth_loss: 0.06415139138698578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1464/10000 [1:27:28<26:42:10, 11.26s/it]
                                                         
{'loss': 1.7669, 'grad_norm': 1.8813880681991577, 'learning_rate': 4.874039170149733e-05, 'epoch': 0.01}

 15%|█▍        | 1464/10000 [1:27:28<26:42:10, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0786819458007812, dino_loss: 0.734375, depth_loss: 0.06047951802611351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9821304082870483, dino_loss: 0.73046875, depth_loss: 0.05653294920921326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1465/10000 [1:27:40<26:51:21, 11.33s/it]
                                                         
{'loss': 1.8214, 'grad_norm': 0.9249187111854553, 'learning_rate': 4.8737799277441566e-05, 'epoch': 0.01}

 15%|█▍        | 1465/10000 [1:27:40<26:51:21, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9498382806777954, dino_loss: 0.7421875, depth_loss: 0.0806661918759346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9904235005378723, dino_loss: 0.70703125, depth_loss: 0.07900168001651764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1466/10000 [1:27:52<27:25:50, 11.57s/it]
                                                         
{'loss': 1.7746, 'grad_norm': 1.4188538789749146, 'learning_rate': 4.8735204257455744e-05, 'epoch': 0.01}

 15%|█▍        | 1466/10000 [1:27:52<27:25:50, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0213440656661987, dino_loss: 0.6953125, depth_loss: 0.07419192790985107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9952186346054077, dino_loss: 0.734375, depth_loss: 0.08201410621404648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1467/10000 [1:28:03<27:18:23, 11.52s/it]
                                                         
{'loss': 1.8014, 'grad_norm': 1.2870889902114868, 'learning_rate': 4.873260664182369e-05, 'epoch': 0.01}

 15%|█▍        | 1467/10000 [1:28:03<27:18:23, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0553975105285645, dino_loss: 0.75, depth_loss: 0.06534405052661896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9453263282775879, dino_loss: 0.69921875, depth_loss: 0.07148425281047821, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1468/10000 [1:28:15<27:06:50, 11.44s/it]
                                                         
{'loss': 1.7935, 'grad_norm': 3.4250614643096924, 'learning_rate': 4.873000643082944e-05, 'epoch': 0.01}

 15%|█▍        | 1468/10000 [1:28:15<27:06:50, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0693299770355225, dino_loss: 0.703125, depth_loss: 0.07693368196487427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.981499195098877, dino_loss: 0.69140625, depth_loss: 0.06113705039024353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1469/10000 [1:28:26<27:01:38, 11.41s/it]
                                                         
{'loss': 1.7918, 'grad_norm': 1.4405908584594727, 'learning_rate': 4.8727403624757365e-05, 'epoch': 0.01}

 15%|█▍        | 1469/10000 [1:28:26<27:01:38, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0587319135665894, dino_loss: 0.69921875, depth_loss: 0.05094027519226074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0751445293426514, dino_loss: 0.70703125, depth_loss: 0.08122377097606659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1470/10000 [1:28:37<26:51:21, 11.33s/it]
                                                         
{'loss': 1.8362, 'grad_norm': 1.6677390336990356, 'learning_rate': 4.872479822389211e-05, 'epoch': 0.01}

 15%|█▍        | 1470/10000 [1:28:37<26:51:21, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0385228395462036, dino_loss: 0.71875, depth_loss: 0.07620857656002045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9953404664993286, dino_loss: 0.7109375, depth_loss: 0.06511341035366058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1471/10000 [1:28:48<26:22:12, 11.13s/it]
                                                         
{'loss': 1.8025, 'grad_norm': 1.8401039838790894, 'learning_rate': 4.8722190228518585e-05, 'epoch': 0.01}

 15%|█▍        | 1471/10000 [1:28:48<26:22:12, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0549782514572144, dino_loss: 0.73828125, depth_loss: 0.07548068463802338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1575384140014648, dino_loss: 0.75, depth_loss: 0.06937235593795776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1472/10000 [1:28:59<26:25:12, 11.15s/it]
                                                         
{'loss': 1.9229, 'grad_norm': 2.9253580570220947, 'learning_rate': 4.871957963892201e-05, 'epoch': 0.01}

 15%|█▍        | 1472/10000 [1:28:59<26:25:12, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9210723638534546, dino_loss: 0.72265625, depth_loss: 0.06512138992547989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9594339728355408, dino_loss: 0.67578125, depth_loss: 0.05799758806824684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1473/10000 [1:29:10<26:35:52, 11.23s/it]
                                                         
{'loss': 1.7011, 'grad_norm': 1.1102653741836548, 'learning_rate': 4.871696645538786e-05, 'epoch': 0.01}

 15%|█▍        | 1473/10000 [1:29:10<26:35:52, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1466612815856934, dino_loss: 0.7109375, depth_loss: 0.07423413544893265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0208834409713745, dino_loss: 0.72265625, depth_loss: 0.06507079303264618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1474/10000 [1:29:22<26:36:49, 11.24s/it]
                                                         
{'loss': 1.8703, 'grad_norm': 1.5358576774597168, 'learning_rate': 4.871435067820191e-05, 'epoch': 0.01}

 15%|█▍        | 1474/10000 [1:29:22<26:36:49, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0459827184677124, dino_loss: 0.7578125, depth_loss: 0.07294400036334991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0235768556594849, dino_loss: 0.78515625, depth_loss: 0.09468197822570801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1475/10000 [1:29:33<26:34:02, 11.22s/it]
                                                         
{'loss': 1.8902, 'grad_norm': 2.1945979595184326, 'learning_rate': 4.871173230765024e-05, 'epoch': 0.01}

 15%|█▍        | 1475/10000 [1:29:33<26:34:02, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1129913330078125, dino_loss: 0.65234375, depth_loss: 0.07563164085149765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0581953525543213, dino_loss: 0.72265625, depth_loss: 0.0719599723815918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1476/10000 [1:29:43<26:07:02, 11.03s/it]
                                                         
{'loss': 1.847, 'grad_norm': 1.4347554445266724, 'learning_rate': 4.8709111344019166e-05, 'epoch': 0.01}

 15%|█▍        | 1476/10000 [1:29:43<26:07:02, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9828293919563293, dino_loss: 0.6953125, depth_loss: 0.05948565900325775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9191220998764038, dino_loss: 0.73046875, depth_loss: 0.07570906728506088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1477/10000 [1:29:54<26:11:22, 11.06s/it]
                                                         
{'loss': 1.7316, 'grad_norm': 1.3465237617492676, 'learning_rate': 4.870648778759532e-05, 'epoch': 0.01}

 15%|█▍        | 1477/10000 [1:29:54<26:11:22, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0498874187469482, dino_loss: 0.73828125, depth_loss: 0.0719287246465683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0656685829162598, dino_loss: 0.73046875, depth_loss: 0.06452888995409012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1478/10000 [1:30:05<25:53:34, 10.94s/it]
                                                         
{'loss': 1.8605, 'grad_norm': 1.3745577335357666, 'learning_rate': 4.870386163866561e-05, 'epoch': 0.01}

 15%|█▍        | 1478/10000 [1:30:05<25:53:34, 10.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0166981220245361, dino_loss: 0.71875, depth_loss: 0.0705263763666153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9824727773666382, dino_loss: 0.74609375, depth_loss: 0.06723857671022415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1479/10000 [1:30:16<25:57:07, 10.96s/it]
                                                         
{'loss': 1.801, 'grad_norm': 5.627365589141846, 'learning_rate': 4.870123289751724e-05, 'epoch': 0.01}

 15%|█▍        | 1479/10000 [1:30:16<25:57:07, 10.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9059436917304993, dino_loss: 0.6875, depth_loss: 0.06944859772920609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0166141986846924, dino_loss: 0.7421875, depth_loss: 0.06608917564153671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1480/10000 [1:30:27<26:07:58, 11.04s/it]
                                                         
{'loss': 1.744, 'grad_norm': 1.938081979751587, 'learning_rate': 4.8698601564437675e-05, 'epoch': 0.01}

 15%|█▍        | 1480/10000 [1:30:27<26:07:58, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0480222702026367, dino_loss: 0.69140625, depth_loss: 0.07515846937894821, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9168646931648254, dino_loss: 0.65625, depth_loss: 0.07249942421913147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1481/10000 [1:30:39<26:27:49, 11.18s/it]
                                                         
{'loss': 1.7303, 'grad_norm': 2.1216671466827393, 'learning_rate': 4.869596763971466e-05, 'epoch': 0.01}

 15%|█▍        | 1481/10000 [1:30:39<26:27:49, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1037731170654297, dino_loss: 0.78125, depth_loss: 0.06828359514474869, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1105860471725464, dino_loss: 0.75390625, depth_loss: 0.0714140310883522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1482/10000 [1:30:50<26:27:08, 11.18s/it]
                                                         
{'loss': 1.9447, 'grad_norm': 2.3930485248565674, 'learning_rate': 4.869333112363625e-05, 'epoch': 0.01}

 15%|█▍        | 1482/10000 [1:30:50<26:27:08, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9318579435348511, dino_loss: 0.69140625, depth_loss: 0.07741282135248184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 1.1047725677490234, dino_loss: 0.71484375, depth_loss: 0.07676748931407928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1483/10000 [1:31:01<26:20:47, 11.14s/it]
                                                         
{'loss': 1.7986, 'grad_norm': 1.5260261297225952, 'learning_rate': 4.8690692016490786e-05, 'epoch': 0.01}

 15%|█▍        | 1483/10000 [1:31:01<26:20:47, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9812270402908325, dino_loss: 0.71875, depth_loss: 0.07006266713142395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1002353429794312, dino_loss: 0.70703125, depth_loss: 0.06834586709737778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1484/10000 [1:31:12<26:09:32, 11.06s/it]
                                                         
{'loss': 1.8229, 'grad_norm': 1.2044012546539307, 'learning_rate': 4.868805031856686e-05, 'epoch': 0.01}

 15%|█▍        | 1484/10000 [1:31:12<26:09:32, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0647201538085938, dino_loss: 0.734375, depth_loss: 0.07582218199968338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052801251411438, dino_loss: 0.7265625, depth_loss: 0.0695091187953949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1485/10000 [1:31:23<26:18:59, 11.13s/it]
                                                         
{'loss': 1.862, 'grad_norm': 1.7035765647888184, 'learning_rate': 4.868540603015335e-05, 'epoch': 0.01}

 15%|█▍        | 1485/10000 [1:31:23<26:18:59, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0550159215927124, dino_loss: 0.72265625, depth_loss: 0.09112498909235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9793598651885986, dino_loss: 0.75, depth_loss: 0.07402580976486206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1486/10000 [1:31:34<26:03:36, 11.02s/it]
                                                         
{'loss': 1.8362, 'grad_norm': 2.3510403633117676, 'learning_rate': 4.868275915153946e-05, 'epoch': 0.01}

 15%|█▍        | 1486/10000 [1:31:34<26:03:36, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9898372292518616, dino_loss: 0.65625, depth_loss: 0.0783911943435669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9895340204238892, dino_loss: 0.7890625, depth_loss: 0.07426124066114426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1487/10000 [1:31:45<26:12:04, 11.08s/it]
                                                         
{'loss': 1.7888, 'grad_norm': 1.484668254852295, 'learning_rate': 4.868010968301463e-05, 'epoch': 0.01}

 15%|█▍        | 1487/10000 [1:31:45<26:12:04, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2328813076019287, dino_loss: 0.7734375, depth_loss: 0.11510829627513885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0729433298110962, dino_loss: 0.75, depth_loss: 0.0799979418516159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1488/10000 [1:31:56<26:10:51, 11.07s/it]
                                                         
{'loss': 2.0123, 'grad_norm': 2.223858118057251, 'learning_rate': 4.867745762486861e-05, 'epoch': 0.01}

 15%|█▍        | 1488/10000 [1:31:56<26:10:51, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9965468645095825, dino_loss: 0.71484375, depth_loss: 0.06383828818798065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1091939210891724, dino_loss: 0.74609375, depth_loss: 0.06889581680297852, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1489/10000 [1:32:08<26:20:34, 11.14s/it]
                                                         
{'loss': 1.8498, 'grad_norm': 2.4904673099517822, 'learning_rate': 4.867480297739142e-05, 'epoch': 0.01}

 15%|█▍        | 1489/10000 [1:32:08<26:20:34, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.225912094116211, dino_loss: 0.72265625, depth_loss: 0.07223953306674957, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.985556960105896, dino_loss: 0.71484375, depth_loss: 0.06113938242197037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1490/10000 [1:32:19<26:21:30, 11.15s/it]
                                                         
{'loss': 1.8913, 'grad_norm': 1.3459774255752563, 'learning_rate': 4.8672145740873374e-05, 'epoch': 0.01}

 15%|█▍        | 1490/10000 [1:32:19<26:21:30, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1156206130981445, dino_loss: 0.75, depth_loss: 0.06409762799739838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.9891172051429749, dino_loss: 0.7734375, depth_loss: 0.06873279064893723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1491/10000 [1:32:30<26:21:29, 11.15s/it]
                                                         
{'loss': 1.8806, 'grad_norm': 1.458339810371399, 'learning_rate': 4.866948591560506e-05, 'epoch': 0.01}

 15%|█▍        | 1491/10000 [1:32:30<26:21:29, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1580578088760376, dino_loss: 0.72265625, depth_loss: 0.09116139262914658, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1566203832626343, dino_loss: 0.7578125, depth_loss: 0.0770367756485939, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1492/10000 [1:32:41<26:16:19, 11.12s/it]
                                                         
{'loss': 1.9818, 'grad_norm': 1.5536245107650757, 'learning_rate': 4.866682350187735e-05, 'epoch': 0.01}

 15%|█▍        | 1492/10000 [1:32:41<26:16:19, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9226080775260925, dino_loss: 0.7734375, depth_loss: 0.07617145776748657, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0650606155395508, dino_loss: 0.71875, depth_loss: 0.08680695295333862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1493/10000 [1:32:52<26:21:38, 11.16s/it]
                                                         
{'loss': 1.8216, 'grad_norm': 2.5166361331939697, 'learning_rate': 4.86641584999814e-05, 'epoch': 0.01}

 15%|█▍        | 1493/10000 [1:32:52<26:21:38, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1096529960632324, dino_loss: 0.7578125, depth_loss: 0.06690892577171326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9585467576980591, dino_loss: 0.75390625, depth_loss: 0.05682269483804703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1494/10000 [1:33:03<26:20:10, 11.15s/it]
                                                         
{'loss': 1.852, 'grad_norm': 1.079769492149353, 'learning_rate': 4.866149091020867e-05, 'epoch': 0.01}

 15%|█▍        | 1494/10000 [1:33:03<26:20:10, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0998852252960205, dino_loss: 0.6953125, depth_loss: 0.0524023175239563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0855722427368164, dino_loss: 0.7265625, depth_loss: 0.06816480308771133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1495/10000 [1:33:14<26:22:25, 11.16s/it]
                                                         
{'loss': 1.8641, 'grad_norm': 1.9922525882720947, 'learning_rate': 4.865882073285086e-05, 'epoch': 0.01}

 15%|█▍        | 1495/10000 [1:33:14<26:22:25, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9765456914901733, dino_loss: 0.72265625, depth_loss: 0.06281043589115143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9967695474624634, dino_loss: 0.75, depth_loss: 0.0690392255783081, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1496/10000 [1:33:26<26:23:46, 11.17s/it]
                                                         
{'loss': 1.7891, 'grad_norm': 1.4892112016677856, 'learning_rate': 4.8656147968199986e-05, 'epoch': 0.01}

 15%|█▍        | 1496/10000 [1:33:26<26:23:46, 11.17s/it]the number of masks: 1
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9393359422683716, dino_loss: 0.73828125, depth_loss: 0.06606818735599518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9456139802932739, dino_loss: 0.6796875, depth_loss: 0.06988058984279633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1497/10000 [1:33:37<26:20:30, 11.15s/it]
                                                         
{'loss': 1.7196, 'grad_norm': 3.1862165927886963, 'learning_rate': 4.865347261654834e-05, 'epoch': 0.01}

 15%|█▍        | 1497/10000 [1:33:37<26:20:30, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1514381170272827, dino_loss: 0.73828125, depth_loss: 0.062385205179452896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1583621501922607, dino_loss: 0.79296875, depth_loss: 0.08307516574859619, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1498/10000 [1:33:49<27:07:55, 11.49s/it]
                                                         
{'loss': 1.9934, 'grad_norm': 3.3255109786987305, 'learning_rate': 4.8650794678188485e-05, 'epoch': 0.01}

 15%|█▍        | 1498/10000 [1:33:49<27:07:55, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0303964614868164, dino_loss: 0.68359375, depth_loss: 0.06443057209253311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9669016599655151, dino_loss: 0.71875, depth_loss: 0.07546012848615646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▍        | 1499/10000 [1:34:00<26:50:03, 11.36s/it]
                                                         
{'loss': 1.7702, 'grad_norm': 2.3318958282470703, 'learning_rate': 4.8648114153413284e-05, 'epoch': 0.01}

 15%|█▍        | 1499/10000 [1:34:00<26:50:03, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0190153121948242, dino_loss: 0.74609375, depth_loss: 0.06651481240987778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9960198998451233, dino_loss: 0.70703125, depth_loss: 0.09005694091320038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1500/10000 [1:34:12<27:01:33, 11.45s/it]
                                                         
{'loss': 1.8135, 'grad_norm': 2.3319077491760254, 'learning_rate': 4.864543104251587e-05, 'epoch': 0.01}

 15%|█▌        | 1500/10000 [1:34:12<27:01:33, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.094691514968872, dino_loss: 0.71484375, depth_loss: 0.07235371321439743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0619536638259888, dino_loss: 0.73828125, depth_loss: 0.06247960776090622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1501/10000 [1:34:24<27:18:34, 11.57s/it]
                                                         
{'loss': 1.8725, 'grad_norm': 4.579861640930176, 'learning_rate': 4.864274534578967e-05, 'epoch': 0.01}

 15%|█▌        | 1501/10000 [1:34:24<27:18:34, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0675653219223022, dino_loss: 0.70703125, depth_loss: 0.0714750736951828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9634380340576172, dino_loss: 0.74609375, depth_loss: 0.08833442628383636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1502/10000 [1:34:36<27:45:31, 11.76s/it]
                                                         
{'loss': 1.8221, 'grad_norm': 1.1121772527694702, 'learning_rate': 4.864005706352839e-05, 'epoch': 0.01}

 15%|█▌        | 1502/10000 [1:34:36<27:45:31, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.941139817237854, dino_loss: 0.7109375, depth_loss: 0.060971613973379135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.038170576095581, dino_loss: 0.71484375, depth_loss: 0.0699702724814415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1503/10000 [1:34:47<27:23:35, 11.61s/it]
                                                         
{'loss': 1.7681, 'grad_norm': 1.848832130432129, 'learning_rate': 4.8637366196026006e-05, 'epoch': 0.01}

 15%|█▌        | 1503/10000 [1:34:47<27:23:35, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0337488651275635, dino_loss: 0.7578125, depth_loss: 0.07044631987810135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9800626635551453, dino_loss: 0.6953125, depth_loss: 0.06878168880939484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1504/10000 [1:34:58<27:05:42, 11.48s/it]
                                                         
{'loss': 1.8032, 'grad_norm': 3.0825748443603516, 'learning_rate': 4.863467274357679e-05, 'epoch': 0.01}

 15%|█▌        | 1504/10000 [1:34:58<27:05:42, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1262800693511963, dino_loss: 0.69140625, depth_loss: 0.055707238614559174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0444703102111816, dino_loss: 0.734375, depth_loss: 0.05999872833490372, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1505/10000 [1:35:10<26:59:02, 11.44s/it]
                                                         
{'loss': 1.8562, 'grad_norm': 1.431194543838501, 'learning_rate': 4.863197670647531e-05, 'epoch': 0.01}

 15%|█▌        | 1505/10000 [1:35:10<26:59:02, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0659610033035278, dino_loss: 0.7265625, depth_loss: 0.06674876809120178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0193700790405273, dino_loss: 0.7421875, depth_loss: 0.07344304025173187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1506/10000 [1:35:21<26:41:49, 11.31s/it]
                                                         
{'loss': 1.8472, 'grad_norm': 1.6103631258010864, 'learning_rate': 4.862927808501638e-05, 'epoch': 0.01}

 15%|█▌        | 1506/10000 [1:35:21<26:41:49, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9913681745529175, dino_loss: 0.71484375, depth_loss: 0.06704619526863098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9920287132263184, dino_loss: 0.72265625, depth_loss: 0.057520344853401184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1507/10000 [1:35:32<26:53:03, 11.40s/it]
                                                         
{'loss': 1.7728, 'grad_norm': 4.4154767990112305, 'learning_rate': 4.862657687949512e-05, 'epoch': 0.01}

 15%|█▌        | 1507/10000 [1:35:32<26:53:03, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0898709297180176, dino_loss: 0.7265625, depth_loss: 0.06098886951804161, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9798195362091064, dino_loss: 0.7578125, depth_loss: 0.061091914772987366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1508/10000 [1:35:44<26:51:56, 11.39s/it]
                                                         
{'loss': 1.8382, 'grad_norm': 1.055503487586975, 'learning_rate': 4.862387309020694e-05, 'epoch': 0.01}

 15%|█▌        | 1508/10000 [1:35:44<26:51:56, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0335156917572021, dino_loss: 0.77734375, depth_loss: 0.08083373308181763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9867410063743591, dino_loss: 0.71484375, depth_loss: 0.06972388923168182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1509/10000 [1:35:55<26:38:56, 11.30s/it]
                                                         
{'loss': 1.8316, 'grad_norm': 1.1550734043121338, 'learning_rate': 4.862116671744752e-05, 'epoch': 0.01}

 15%|█▌        | 1509/10000 [1:35:55<26:38:56, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.078325867652893, dino_loss: 0.765625, depth_loss: 0.06217436119914055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9815101027488708, dino_loss: 0.734375, depth_loss: 0.057071276009082794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1510/10000 [1:36:06<26:34:17, 11.27s/it]
                                                         
{'loss': 1.8396, 'grad_norm': 1.6248600482940674, 'learning_rate': 4.861845776151281e-05, 'epoch': 0.01}

 15%|█▌        | 1510/10000 [1:36:06<26:34:17, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9066798686981201, dino_loss: 0.71875, depth_loss: 0.060125626623630524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0700764656066895, dino_loss: 0.73046875, depth_loss: 0.07852304726839066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1511/10000 [1:36:17<26:32:59, 11.26s/it]
                                                         
{'loss': 1.7824, 'grad_norm': 1.861092448234558, 'learning_rate': 4.8615746222699086e-05, 'epoch': 0.01}

 15%|█▌        | 1511/10000 [1:36:17<26:32:59, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0021591186523438, dino_loss: 0.7265625, depth_loss: 0.07982278615236282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.057000994682312, dino_loss: 0.7421875, depth_loss: 0.04915870353579521, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1512/10000 [1:36:28<26:04:15, 11.06s/it]
                                                         
{'loss': 1.8286, 'grad_norm': 1.5808491706848145, 'learning_rate': 4.861303210130285e-05, 'epoch': 0.01}

 15%|█▌        | 1512/10000 [1:36:28<26:04:15, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 2
seg_loss: 0.9882921576499939, dino_loss: 0.72265625, depth_loss: 0.07273174077272415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0621448755264282, dino_loss: 0.7421875, depth_loss: 0.07942317426204681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1513/10000 [1:36:39<26:17:24, 11.15s/it]
                                                         
{'loss': 1.8338, 'grad_norm': 1.9786161184310913, 'learning_rate': 4.861031539762093e-05, 'epoch': 0.01}

 15%|█▌        | 1513/10000 [1:36:39<26:17:24, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0285390615463257, dino_loss: 0.76171875, depth_loss: 0.08108092844486237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9900946021080017, dino_loss: 0.7421875, depth_loss: 0.06609281897544861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1514/10000 [1:36:50<26:03:04, 11.05s/it]
                                                         
{'loss': 1.835, 'grad_norm': 1.8421313762664795, 'learning_rate': 4.860759611195041e-05, 'epoch': 0.01}

 15%|█▌        | 1514/10000 [1:36:50<26:03:04, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0716108083724976, dino_loss: 0.7421875, depth_loss: 0.08976913243532181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.923406720161438, dino_loss: 0.71484375, depth_loss: 0.061244718730449677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1515/10000 [1:37:01<26:23:10, 11.20s/it]
                                                         
{'loss': 1.8016, 'grad_norm': 1.2983936071395874, 'learning_rate': 4.860487424458867e-05, 'epoch': 0.01}

 15%|█▌        | 1515/10000 [1:37:01<26:23:10, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1018171310424805, dino_loss: 0.72265625, depth_loss: 0.08090368658304214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9911827445030212, dino_loss: 0.71875, depth_loss: 0.08180637657642365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1516/10000 [1:37:12<26:11:08, 11.11s/it]
                                                         
{'loss': 1.8487, 'grad_norm': 2.103151798248291, 'learning_rate': 4.860214979583338e-05, 'epoch': 0.01}

 15%|█▌        | 1516/10000 [1:37:12<26:11:08, 11.11s/it]the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.9239082336425781, dino_loss: 0.7421875, depth_loss: 0.07281637191772461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9583033323287964, dino_loss: 0.71484375, depth_loss: 0.07978183776140213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1517/10000 [1:37:24<26:16:24, 11.15s/it]
                                                         
{'loss': 1.746, 'grad_norm': 2.022878408432007, 'learning_rate': 4.859942276598247e-05, 'epoch': 0.01}

 15%|█▌        | 1517/10000 [1:37:24<26:16:24, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9592911601066589, dino_loss: 0.69921875, depth_loss: 0.055483706295490265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0027875900268555, dino_loss: 0.68359375, depth_loss: 0.05619572103023529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1518/10000 [1:37:35<26:34:56, 11.28s/it]
                                                         
{'loss': 1.7284, 'grad_norm': 1.6558146476745605, 'learning_rate': 4.859669315533417e-05, 'epoch': 0.01}

 15%|█▌        | 1518/10000 [1:37:35<26:34:56, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0505133867263794, dino_loss: 0.7734375, depth_loss: 0.05786152556538582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9412723779678345, dino_loss: 0.7265625, depth_loss: 0.06667917221784592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1519/10000 [1:37:47<26:55:50, 11.43s/it]
                                                         
{'loss': 1.8083, 'grad_norm': 2.133784294128418, 'learning_rate': 4.859396096418698e-05, 'epoch': 0.01}

 15%|█▌        | 1519/10000 [1:37:47<26:55:50, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1166322231292725, dino_loss: 0.6796875, depth_loss: 0.06621359288692474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0086572170257568, dino_loss: 0.6953125, depth_loss: 0.0630929097533226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1520/10000 [1:37:59<27:16:31, 11.58s/it]
                                                         
{'loss': 1.8149, 'grad_norm': 1.6492441892623901, 'learning_rate': 4.8591226192839696e-05, 'epoch': 0.01}

 15%|█▌        | 1520/10000 [1:37:59<27:16:31, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9777011871337891, dino_loss: 0.7265625, depth_loss: 0.07960475236177444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 1.0556896924972534, dino_loss: 0.73828125, depth_loss: 0.06920797377824783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1521/10000 [1:38:10<26:50:30, 11.40s/it]
                                                         
{'loss': 1.8236, 'grad_norm': 1.6266766786575317, 'learning_rate': 4.858848884159138e-05, 'epoch': 0.01}

 15%|█▌        | 1521/10000 [1:38:10<26:50:30, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9658280611038208, dino_loss: 0.6875, depth_loss: 0.05946064740419388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0378690958023071, dino_loss: 0.796875, depth_loss: 0.07701868563890457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1522/10000 [1:38:21<26:51:27, 11.40s/it]
                                                         
{'loss': 1.8124, 'grad_norm': 3.012014150619507, 'learning_rate': 4.858574891074139e-05, 'epoch': 0.01}

 15%|█▌        | 1522/10000 [1:38:21<26:51:27, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9627994298934937, dino_loss: 0.69140625, depth_loss: 0.06295420974493027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9626830220222473, dino_loss: 0.796875, depth_loss: 0.06924387812614441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1523/10000 [1:38:33<26:52:28, 11.41s/it]
                                                         
{'loss': 1.7731, 'grad_norm': 1.1966755390167236, 'learning_rate': 4.858300640058937e-05, 'epoch': 0.01}

 15%|█▌        | 1523/10000 [1:38:33<26:52:28, 11.41s/it]the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0113931894302368, dino_loss: 0.6953125, depth_loss: 0.062353089451789856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1336901187896729, dino_loss: 0.80078125, depth_loss: 0.06985512375831604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1524/10000 [1:38:44<27:06:40, 11.51s/it]
                                                         
{'loss': 1.8868, 'grad_norm': 4.502533435821533, 'learning_rate': 4.858026131143522e-05, 'epoch': 0.01}

 15%|█▌        | 1524/10000 [1:38:44<27:06:40, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0592739582061768, dino_loss: 0.703125, depth_loss: 0.06531231850385666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0938889980316162, dino_loss: 0.734375, depth_loss: 0.06623527407646179, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1525/10000 [1:38:55<26:42:17, 11.34s/it]
                                                         
{'loss': 1.8613, 'grad_norm': 1.8033208847045898, 'learning_rate': 4.857751364357913e-05, 'epoch': 0.01}

 15%|█▌        | 1525/10000 [1:38:55<26:42:17, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0248395204544067, dino_loss: 0.68359375, depth_loss: 0.07072468847036362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0183839797973633, dino_loss: 0.74609375, depth_loss: 0.06940338760614395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1526/10000 [1:39:07<26:57:27, 11.45s/it]
                                                         
{'loss': 1.8068, 'grad_norm': 1.476327896118164, 'learning_rate': 4.8574763397321614e-05, 'epoch': 0.01}

 15%|█▌        | 1526/10000 [1:39:07<26:57:27, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9511673450469971, dino_loss: 0.7421875, depth_loss: 0.07545653730630875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1411149501800537, dino_loss: 0.7265625, depth_loss: 0.06733961403369904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1527/10000 [1:39:18<26:35:28, 11.30s/it]
                                                         
{'loss': 1.9632, 'grad_norm': 173.8759002685547, 'learning_rate': 4.857201057296341e-05, 'epoch': 0.01}

 15%|█▌        | 1527/10000 [1:39:18<26:35:28, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1514750719070435, dino_loss: 0.70703125, depth_loss: 0.05847303941845894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1094768047332764, dino_loss: 0.7421875, depth_loss: 0.0697757676243782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1528/10000 [1:39:29<26:41:39, 11.34s/it]
                                                         
{'loss': 2.0847, 'grad_norm': 283.15264892578125, 'learning_rate': 4.856925517080557e-05, 'epoch': 0.01}

 15%|█▌        | 1528/10000 [1:39:29<26:41:39, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0389609336853027, dino_loss: 0.72265625, depth_loss: 0.06570685654878616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.024605393409729, dino_loss: 0.78515625, depth_loss: 0.07508008182048798, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1529/10000 [1:39:40<26:19:34, 11.19s/it]
                                                         
{'loss': 1.8971, 'grad_norm': 152.05560302734375, 'learning_rate': 4.856649719114943e-05, 'epoch': 0.01}

 15%|█▌        | 1529/10000 [1:39:40<26:19:34, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0974591970443726, dino_loss: 0.70703125, depth_loss: 0.051178816705942154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0859061479568481, dino_loss: 0.75390625, depth_loss: 0.07755216211080551, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1530/10000 [1:39:51<26:02:43, 11.07s/it]
                                                         
{'loss': 1.8867, 'grad_norm': 4.752237319946289, 'learning_rate': 4.856373663429657e-05, 'epoch': 0.01}

 15%|█▌        | 1530/10000 [1:39:51<26:02:43, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9925444722175598, dino_loss: 0.73828125, depth_loss: 0.07235750555992126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.06971275806427, dino_loss: 0.7109375, depth_loss: 0.0633392482995987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1531/10000 [1:40:02<26:13:10, 11.15s/it]
                                                         
{'loss': 1.8306, 'grad_norm': 24.231088638305664, 'learning_rate': 4.856097350054892e-05, 'epoch': 0.01}

 15%|█▌        | 1531/10000 [1:40:02<26:13:10, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0279842615127563, dino_loss: 0.7734375, depth_loss: 0.06457678973674774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9774047136306763, dino_loss: 0.76953125, depth_loss: 0.0960211381316185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1532/10000 [1:40:14<26:34:55, 11.30s/it]
                                                         
{'loss': 1.8549, 'grad_norm': 2.107253074645996, 'learning_rate': 4.855820779020862e-05, 'epoch': 0.01}

 15%|█▌        | 1532/10000 [1:40:14<26:34:55, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1416598558425903, dino_loss: 0.76171875, depth_loss: 0.06054789200425148, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9242469668388367, dino_loss: 0.76171875, depth_loss: 0.08669578284025192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1533/10000 [1:40:25<26:32:01, 11.28s/it]
                                                         
{'loss': 1.8685, 'grad_norm': 4.012585639953613, 'learning_rate': 4.8555439503578136e-05, 'epoch': 0.01}

 15%|█▌        | 1533/10000 [1:40:25<26:32:01, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2383992671966553, dino_loss: 0.7421875, depth_loss: 0.08721312880516052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9912549257278442, dino_loss: 0.72265625, depth_loss: 0.08841459453105927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1534/10000 [1:40:36<26:13:44, 11.15s/it]
                                                         
{'loss': 1.9353, 'grad_norm': 3.980595350265503, 'learning_rate': 4.8552668640960205e-05, 'epoch': 0.01}

 15%|█▌        | 1534/10000 [1:40:36<26:13:44, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9992526769638062, dino_loss: 0.7265625, depth_loss: 0.06734984368085861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1153916120529175, dino_loss: 0.71484375, depth_loss: 0.06266544759273529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1535/10000 [1:40:47<26:02:20, 11.07s/it]
                                                         
{'loss': 1.8433, 'grad_norm': 3.184713363647461, 'learning_rate': 4.8549895202657844e-05, 'epoch': 0.01}

 15%|█▌        | 1535/10000 [1:40:47<26:02:20, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0449148416519165, dino_loss: 0.71875, depth_loss: 0.060158006846904755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0463308095932007, dino_loss: 0.75390625, depth_loss: 0.07320886105298996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1536/10000 [1:40:58<26:01:57, 11.07s/it]
                                                         
{'loss': 1.8488, 'grad_norm': 2.5665788650512695, 'learning_rate': 4.8547119188974345e-05, 'epoch': 0.01}

 15%|█▌        | 1536/10000 [1:40:58<26:01:57, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0125865936279297, dino_loss: 0.7265625, depth_loss: 0.08305943757295609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.068621277809143, dino_loss: 0.75, depth_loss: 0.06392847746610641, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1537/10000 [1:41:09<26:06:24, 11.11s/it]
                                                         
{'loss': 1.8526, 'grad_norm': 1.3410823345184326, 'learning_rate': 4.85443406002133e-05, 'epoch': 0.01}

 15%|█▌        | 1537/10000 [1:41:09<26:06:24, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.980199933052063, dino_loss: 0.7109375, depth_loss: 0.08799226582050323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9555109739303589, dino_loss: 0.64453125, depth_loss: 0.04854152724146843, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1538/10000 [1:41:20<25:59:16, 11.06s/it]
                                                         
{'loss': 1.7139, 'grad_norm': 1.7222508192062378, 'learning_rate': 4.8541559436678563e-05, 'epoch': 0.01}

 15%|█▌        | 1538/10000 [1:41:20<25:59:16, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9360154867172241, dino_loss: 0.74609375, depth_loss: 0.06190473586320877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9718267917633057, dino_loss: 0.7265625, depth_loss: 0.06691874563694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1539/10000 [1:41:31<25:55:38, 11.03s/it]
                                                         
{'loss': 1.7552, 'grad_norm': 2.4887657165527344, 'learning_rate': 4.8538775698674275e-05, 'epoch': 0.01}

 15%|█▌        | 1539/10000 [1:41:31<25:55:38, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0735312700271606, dino_loss: 0.67578125, depth_loss: 0.06037971004843712, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.027441143989563, dino_loss: 0.703125, depth_loss: 0.06260209530591965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1540/10000 [1:41:43<26:17:11, 11.19s/it]
                                                         
{'loss': 1.8017, 'grad_norm': 1.1853159666061401, 'learning_rate': 4.853598938650487e-05, 'epoch': 0.01}

 15%|█▌        | 1540/10000 [1:41:43<26:17:11, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0249037742614746, dino_loss: 0.71484375, depth_loss: 0.06953606009483337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9185584783554077, dino_loss: 0.671875, depth_loss: 0.05960788205265999, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1541/10000 [1:41:54<26:31:22, 11.29s/it]
                                                         
{'loss': 1.7299, 'grad_norm': 1.2098760604858398, 'learning_rate': 4.853320050047505e-05, 'epoch': 0.01}

 15%|█▌        | 1541/10000 [1:41:54<26:31:22, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9169009923934937, dino_loss: 0.74609375, depth_loss: 0.057912737131118774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0899813175201416, dino_loss: 0.75390625, depth_loss: 0.058849629014730453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1542/10000 [1:42:06<26:33:14, 11.30s/it]
                                                         
{'loss': 1.8119, 'grad_norm': 2.362501382827759, 'learning_rate': 4.8530409040889814e-05, 'epoch': 0.01}

 15%|█▌        | 1542/10000 [1:42:06<26:33:14, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0149195194244385, dino_loss: 0.71875, depth_loss: 0.06645017862319946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9751309156417847, dino_loss: 0.72265625, depth_loss: 0.07407329976558685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1543/10000 [1:42:17<26:32:30, 11.30s/it]
                                                         
{'loss': 1.7861, 'grad_norm': 1.5189224481582642, 'learning_rate': 4.8527615008054416e-05, 'epoch': 0.01}

 15%|█▌        | 1543/10000 [1:42:17<26:32:30, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.015244722366333, dino_loss: 0.71484375, depth_loss: 0.06488094478845596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0257408618927002, dino_loss: 0.74609375, depth_loss: 0.09453080594539642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1544/10000 [1:42:28<26:15:35, 11.18s/it]
                                                         
{'loss': 1.8308, 'grad_norm': 1.0620697736740112, 'learning_rate': 4.8524818402274415e-05, 'epoch': 0.01}

 15%|█▌        | 1544/10000 [1:42:28<26:15:35, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.932735800743103, dino_loss: 0.66796875, depth_loss: 0.049910515546798706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9685404300689697, dino_loss: 0.625, depth_loss: 0.05420069023966789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1545/10000 [1:42:39<26:31:12, 11.29s/it]
                                                         
{'loss': 1.6493, 'grad_norm': 1.7675049304962158, 'learning_rate': 4.852201922385564e-05, 'epoch': 0.01}

 15%|█▌        | 1545/10000 [1:42:39<26:31:12, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.073106050491333, dino_loss: 0.734375, depth_loss: 0.09502046555280685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9985342025756836, dino_loss: 0.72265625, depth_loss: 0.07957141101360321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1546/10000 [1:42:50<26:13:01, 11.16s/it]
                                                         
{'loss': 1.8518, 'grad_norm': 1.4743634462356567, 'learning_rate': 4.85192174731042e-05, 'epoch': 0.01}

 15%|█▌        | 1546/10000 [1:42:50<26:13:01, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0257160663604736, dino_loss: 0.73046875, depth_loss: 0.08936173468828201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0174833536148071, dino_loss: 0.68359375, depth_loss: 0.055867888033390045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1547/10000 [1:43:01<26:09:37, 11.14s/it]
                                                         
{'loss': 1.8014, 'grad_norm': 1.469042181968689, 'learning_rate': 4.851641315032651e-05, 'epoch': 0.01}

 15%|█▌        | 1547/10000 [1:43:01<26:09:37, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.15901517868042, dino_loss: 0.734375, depth_loss: 0.05822090059518814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9301281571388245, dino_loss: 0.703125, depth_loss: 0.06357724964618683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1548/10000 [1:43:13<26:27:16, 11.27s/it]
                                                         
{'loss': 1.8243, 'grad_norm': 3.847874402999878, 'learning_rate': 4.851360625582924e-05, 'epoch': 0.01}

 15%|█▌        | 1548/10000 [1:43:13<26:27:16, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9499053955078125, dino_loss: 0.7421875, depth_loss: 0.08319402486085892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.94378662109375, dino_loss: 0.6875, depth_loss: 0.050347790122032166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 15%|█▌        | 1549/10000 [1:43:25<26:40:51, 11.37s/it]
                                                         
{'loss': 1.7286, 'grad_norm': 2.011392116546631, 'learning_rate': 4.851079678991933e-05, 'epoch': 0.01}

 15%|█▌        | 1549/10000 [1:43:25<26:40:51, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9374291300773621, dino_loss: 0.8203125, depth_loss: 0.08394232392311096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0207078456878662, dino_loss: 0.7734375, depth_loss: 0.07571836560964584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1550/10000 [1:43:36<26:46:03, 11.40s/it]
                                                         
{'loss': 1.8559, 'grad_norm': 1.4734351634979248, 'learning_rate': 4.850798475290403e-05, 'epoch': 0.01}

 16%|█▌        | 1550/10000 [1:43:36<26:46:03, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0169563293457031, dino_loss: 0.734375, depth_loss: 0.08337320387363434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.020519733428955, dino_loss: 0.71484375, depth_loss: 0.07048747688531876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1551/10000 [1:43:47<26:18:33, 11.21s/it]
                                                         
{'loss': 1.8203, 'grad_norm': 1.1149499416351318, 'learning_rate': 4.850517014509087e-05, 'epoch': 0.01}

 16%|█▌        | 1551/10000 [1:43:47<26:18:33, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.965833842754364, dino_loss: 0.7109375, depth_loss: 0.06223587691783905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.00057053565979, dino_loss: 0.74609375, depth_loss: 0.0713910385966301, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1552/10000 [1:43:58<26:19:57, 11.22s/it]
                                                         
{'loss': 1.7786, 'grad_norm': 1.0274463891983032, 'learning_rate': 4.850235296678763e-05, 'epoch': 0.01}

 16%|█▌        | 1552/10000 [1:43:58<26:19:57, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0599877834320068, dino_loss: 0.734375, depth_loss: 0.07541925460100174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0084840059280396, dino_loss: 0.67578125, depth_loss: 0.07650666683912277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1553/10000 [1:44:10<26:49:00, 11.43s/it]
                                                         
{'loss': 1.8153, 'grad_norm': 1.547009825706482, 'learning_rate': 4.8499533218302416e-05, 'epoch': 0.01}

 16%|█▌        | 1553/10000 [1:44:10<26:49:00, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0532057285308838, dino_loss: 0.76953125, depth_loss: 0.07295124232769012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9859596490859985, dino_loss: 0.75, depth_loss: 0.06108463555574417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1554/10000 [1:44:21<26:37:18, 11.35s/it]
                                                         
{'loss': 1.8464, 'grad_norm': 1.3920140266418457, 'learning_rate': 4.849671089994358e-05, 'epoch': 0.01}

 16%|█▌        | 1554/10000 [1:44:21<26:37:18, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.012872576713562, dino_loss: 0.703125, depth_loss: 0.062018029391765594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0898247957229614, dino_loss: 0.69921875, depth_loss: 0.08023276180028915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1555/10000 [1:44:32<26:17:28, 11.21s/it]
                                                         
{'loss': 1.8237, 'grad_norm': 0.957093358039856, 'learning_rate': 4.8493886012019765e-05, 'epoch': 0.01}

 16%|█▌        | 1555/10000 [1:44:32<26:17:28, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9812336564064026, dino_loss: 0.73046875, depth_loss: 0.06557842344045639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031909465789795, dino_loss: 0.73828125, depth_loss: 0.07501226663589478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1556/10000 [1:44:43<26:07:53, 11.14s/it]
                                                         
{'loss': 1.8113, 'grad_norm': 2.038073778152466, 'learning_rate': 4.84910585548399e-05, 'epoch': 0.01}

 16%|█▌        | 1556/10000 [1:44:43<26:07:53, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0035006999969482, dino_loss: 0.66015625, depth_loss: 0.06873274594545364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.029660940170288, dino_loss: 0.76171875, depth_loss: 0.06773164868354797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1557/10000 [1:44:54<26:09:27, 11.15s/it]
                                                         
{'loss': 1.7958, 'grad_norm': 1.61319100856781, 'learning_rate': 4.8488228528713186e-05, 'epoch': 0.01}

 16%|█▌        | 1557/10000 [1:44:54<26:09:27, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0479531288146973, dino_loss: 0.7578125, depth_loss: 0.08107716590166092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9633733034133911, dino_loss: 0.76953125, depth_loss: 0.08023547381162643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1558/10000 [1:45:06<26:32:39, 11.32s/it]
                                                         
{'loss': 1.85, 'grad_norm': 1.7915256023406982, 'learning_rate': 4.8485395933949114e-05, 'epoch': 0.01}

 16%|█▌        | 1558/10000 [1:45:06<26:32:39, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0631959438323975, dino_loss: 0.7421875, depth_loss: 0.06955165416002274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.071433424949646, dino_loss: 0.73828125, depth_loss: 0.06056869775056839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1559/10000 [1:45:17<26:24:22, 11.26s/it]
                                                         
{'loss': 1.8727, 'grad_norm': 1.7020790576934814, 'learning_rate': 4.848256077085746e-05, 'epoch': 0.01}

 16%|█▌        | 1559/10000 [1:45:17<26:24:22, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9817944169044495, dino_loss: 0.65234375, depth_loss: 0.06026080995798111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0083867311477661, dino_loss: 0.6953125, depth_loss: 0.06287804991006851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1560/10000 [1:45:28<26:17:26, 11.21s/it]
                                                         
{'loss': 1.7305, 'grad_norm': 1.3163515329360962, 'learning_rate': 4.8479723039748246e-05, 'epoch': 0.01}

 16%|█▌        | 1560/10000 [1:45:28<26:17:26, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.9253766536712646, dino_loss: 0.7421875, depth_loss: 0.07955016940832138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0408055782318115, dino_loss: 0.7421875, depth_loss: 0.06978429853916168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1561/10000 [1:45:39<26:23:53, 11.26s/it]
                                                         
{'loss': 1.8, 'grad_norm': 1.229076623916626, 'learning_rate': 4.847688274093184e-05, 'epoch': 0.01}

 16%|█▌        | 1561/10000 [1:45:39<26:23:53, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8713343143463135, dino_loss: 0.72265625, depth_loss: 0.07793401926755905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9780852794647217, dino_loss: 0.69140625, depth_loss: 0.05400992929935455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1562/10000 [1:45:51<26:36:51, 11.35s/it]
                                                         
{'loss': 1.6978, 'grad_norm': 1.7985280752182007, 'learning_rate': 4.847403987471883e-05, 'epoch': 0.01}

 16%|█▌        | 1562/10000 [1:45:51<26:36:51, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9909021854400635, dino_loss: 0.72265625, depth_loss: 0.06912257522344589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0824804306030273, dino_loss: 0.7109375, depth_loss: 0.08854881674051285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1563/10000 [1:46:03<26:54:15, 11.48s/it]
                                                         
{'loss': 1.8324, 'grad_norm': 1.6685571670532227, 'learning_rate': 4.847119444142011e-05, 'epoch': 0.01}

 16%|█▌        | 1563/10000 [1:46:03<26:54:15, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2001762390136719, dino_loss: 0.65234375, depth_loss: 0.06042495369911194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9375832080841064, dino_loss: 0.77734375, depth_loss: 0.07304326444864273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1564/10000 [1:46:14<26:25:27, 11.28s/it]
                                                         
{'loss': 1.8505, 'grad_norm': 1.8476347923278809, 'learning_rate': 4.846834644134686e-05, 'epoch': 0.01}

 16%|█▌        | 1564/10000 [1:46:14<26:25:27, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0113576650619507, dino_loss: 0.72265625, depth_loss: 0.06145264580845833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8792524337768555, dino_loss: 0.70703125, depth_loss: 0.0744502916932106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1565/10000 [1:46:25<26:40:08, 11.38s/it]
                                                         
{'loss': 1.7281, 'grad_norm': 1.6671288013458252, 'learning_rate': 4.846549587481052e-05, 'epoch': 0.01}

 16%|█▌        | 1565/10000 [1:46:25<26:40:08, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9740421772003174, dino_loss: 0.8671875, depth_loss: 0.0710221603512764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0245537757873535, dino_loss: 0.7265625, depth_loss: 0.0881553515791893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1566/10000 [1:46:37<26:44:15, 11.41s/it]
                                                         
{'loss': 1.8758, 'grad_norm': 2.073594331741333, 'learning_rate': 4.8462642742122835e-05, 'epoch': 0.01}

 16%|█▌        | 1566/10000 [1:46:37<26:44:15, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0844063758850098, dino_loss: 0.765625, depth_loss: 0.07307533919811249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9708789587020874, dino_loss: 0.71875, depth_loss: 0.07675549387931824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1567/10000 [1:46:48<26:32:08, 11.33s/it]
                                                         
{'loss': 1.8448, 'grad_norm': 2.848346471786499, 'learning_rate': 4.845978704359581e-05, 'epoch': 0.01}

 16%|█▌        | 1567/10000 [1:46:48<26:32:08, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.049580454826355, dino_loss: 0.72265625, depth_loss: 0.07823150604963303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.003777027130127, dino_loss: 0.75390625, depth_loss: 0.07630177587270737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1568/10000 [1:46:59<26:20:15, 11.24s/it]
                                                         
{'loss': 1.8423, 'grad_norm': 1.3396542072296143, 'learning_rate': 4.845692877954175e-05, 'epoch': 0.01}

 16%|█▌        | 1568/10000 [1:46:59<26:20:15, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.076730728149414, dino_loss: 0.7421875, depth_loss: 0.0777084156870842, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9849432706832886, dino_loss: 0.66796875, depth_loss: 0.0624900758266449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1569/10000 [1:47:10<26:08:28, 11.16s/it]
                                                         
{'loss': 1.8061, 'grad_norm': 2.5186805725097656, 'learning_rate': 4.845406795027322e-05, 'epoch': 0.01}

 16%|█▌        | 1569/10000 [1:47:10<26:08:28, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0480642318725586, dino_loss: 0.734375, depth_loss: 0.06730584055185318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1606576442718506, dino_loss: 0.67578125, depth_loss: 0.057063885033130646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1570/10000 [1:47:21<25:57:53, 11.09s/it]
                                                         
{'loss': 1.8717, 'grad_norm': 2.990377187728882, 'learning_rate': 4.845120455610309e-05, 'epoch': 0.01}

 16%|█▌        | 1570/10000 [1:47:21<25:57:53, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.079451322555542, dino_loss: 0.7109375, depth_loss: 0.07410959899425507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9209775924682617, dino_loss: 0.7578125, depth_loss: 0.07674598693847656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1571/10000 [1:47:33<26:29:33, 11.31s/it]
                                                         
{'loss': 1.8101, 'grad_norm': 2.3382620811462402, 'learning_rate': 4.8448338597344486e-05, 'epoch': 0.01}

 16%|█▌        | 1571/10000 [1:47:33<26:29:33, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0673534870147705, dino_loss: 0.703125, depth_loss: 0.07594954967498779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.938900351524353, dino_loss: 0.73046875, depth_loss: 0.08435221761465073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1572/10000 [1:47:44<26:46:24, 11.44s/it]
                                                         
{'loss': 1.8001, 'grad_norm': 0.9175812602043152, 'learning_rate': 4.8445470074310824e-05, 'epoch': 0.01}

 16%|█▌        | 1572/10000 [1:47:44<26:46:24, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0188978910446167, dino_loss: 0.7265625, depth_loss: 0.062357690185308456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 2
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9074441194534302, dino_loss: 0.75390625, depth_loss: 0.05870407819747925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1573/10000 [1:47:55<26:30:13, 11.32s/it]
                                                         
{'loss': 1.764, 'grad_norm': 1.6969122886657715, 'learning_rate': 4.8442598987315804e-05, 'epoch': 0.01}

 16%|█▌        | 1573/10000 [1:47:55<26:30:13, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0421926975250244, dino_loss: 0.75390625, depth_loss: 0.07520563155412674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9543682932853699, dino_loss: 0.765625, depth_loss: 0.06732362508773804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1574/10000 [1:48:07<26:22:44, 11.27s/it]
                                                         
{'loss': 1.8294, 'grad_norm': 2.458895206451416, 'learning_rate': 4.84397253366734e-05, 'epoch': 0.01}

 16%|█▌        | 1574/10000 [1:48:07<26:22:44, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0760891437530518, dino_loss: 0.7421875, depth_loss: 0.059115588665008545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9933462738990784, dino_loss: 0.71875, depth_loss: 0.05753181874752045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1575/10000 [1:48:17<26:01:38, 11.12s/it]
                                                         
{'loss': 1.8236, 'grad_norm': 1.7211194038391113, 'learning_rate': 4.8436849122697883e-05, 'epoch': 0.01}

 16%|█▌        | 1575/10000 [1:48:17<26:01:38, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.935223400592804, dino_loss: 0.67578125, depth_loss: 0.06878775358200073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0306192636489868, dino_loss: 0.73046875, depth_loss: 0.05751770734786987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1576/10000 [1:48:28<25:58:19, 11.10s/it]
                                                         
{'loss': 1.7493, 'grad_norm': 2.061994791030884, 'learning_rate': 4.843397034570378e-05, 'epoch': 0.01}

 16%|█▌        | 1576/10000 [1:48:28<25:58:19, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0185844898223877, dino_loss: 0.7109375, depth_loss: 0.06333701312541962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0084201097488403, dino_loss: 0.72265625, depth_loss: 0.06119348481297493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1577/10000 [1:48:39<25:47:25, 11.02s/it]
                                                         
{'loss': 1.7926, 'grad_norm': 2.020867109298706, 'learning_rate': 4.843108900600591e-05, 'epoch': 0.01}

 16%|█▌        | 1577/10000 [1:48:39<25:47:25, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.010276436805725, dino_loss: 0.75390625, depth_loss: 0.06986692547798157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.928763747215271, dino_loss: 0.73046875, depth_loss: 0.07263697683811188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1578/10000 [1:48:51<26:05:51, 11.16s/it]
                                                         
{'loss': 1.783, 'grad_norm': 1.1276041269302368, 'learning_rate': 4.842820510391938e-05, 'epoch': 0.01}

 16%|█▌        | 1578/10000 [1:48:51<26:05:51, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9625796675682068, dino_loss: 0.6953125, depth_loss: 0.07041032612323761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0963902473449707, dino_loss: 0.765625, depth_loss: 0.0729261040687561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1579/10000 [1:49:02<25:54:26, 11.08s/it]
                                                         
{'loss': 1.8317, 'grad_norm': 4.089691162109375, 'learning_rate': 4.842531863975957e-05, 'epoch': 0.01}

 16%|█▌        | 1579/10000 [1:49:02<25:54:26, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9580408334732056, dino_loss: 0.70703125, depth_loss: 0.07188252359628677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.076820969581604, dino_loss: 0.796875, depth_loss: 0.06024879962205887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1580/10000 [1:49:13<26:14:29, 11.22s/it]
                                                         
{'loss': 1.8355, 'grad_norm': 2.3015642166137695, 'learning_rate': 4.842242961384211e-05, 'epoch': 0.01}

 16%|█▌        | 1580/10000 [1:49:13<26:14:29, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9331491589546204, dino_loss: 0.73828125, depth_loss: 0.06997630000114441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0562098026275635, dino_loss: 0.71484375, depth_loss: 0.05849752575159073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1581/10000 [1:49:25<26:31:13, 11.34s/it]
                                                         
{'loss': 1.7855, 'grad_norm': 1.3081742525100708, 'learning_rate': 4.841953802648298e-05, 'epoch': 0.01}

 16%|█▌        | 1581/10000 [1:49:25<26:31:13, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9926188588142395, dino_loss: 0.6796875, depth_loss: 0.07879598438739777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0021932125091553, dino_loss: 0.7265625, depth_loss: 0.0724397599697113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1582/10000 [1:49:36<26:12:59, 11.21s/it]
                                                         
{'loss': 1.7762, 'grad_norm': 2.9930551052093506, 'learning_rate': 4.841664387799838e-05, 'epoch': 0.01}

 16%|█▌        | 1582/10000 [1:49:36<26:12:59, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9920312762260437, dino_loss: 0.68359375, depth_loss: 0.058239780366420746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9847049117088318, dino_loss: 0.74609375, depth_loss: 0.07364965975284576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1583/10000 [1:49:47<26:00:58, 11.13s/it]
                                                         
{'loss': 1.7692, 'grad_norm': 1.259583592414856, 'learning_rate': 4.841374716870481e-05, 'epoch': 0.01}

 16%|█▌        | 1583/10000 [1:49:47<26:00:58, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0667030811309814, dino_loss: 0.734375, depth_loss: 0.057246193289756775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.944930911064148, dino_loss: 0.73828125, depth_loss: 0.06268852204084396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1584/10000 [1:49:58<26:02:07, 11.14s/it]
                                                         
{'loss': 1.8022, 'grad_norm': 1.6943809986114502, 'learning_rate': 4.841084789891905e-05, 'epoch': 0.01}

 16%|█▌        | 1584/10000 [1:49:58<26:02:07, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9913985133171082, dino_loss: 0.72265625, depth_loss: 0.07787161320447922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0762903690338135, dino_loss: 0.74609375, depth_loss: 0.08661492168903351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1585/10000 [1:50:09<25:59:18, 11.12s/it]
                                                         
{'loss': 1.8506, 'grad_norm': 1.8553165197372437, 'learning_rate': 4.8407946068958165e-05, 'epoch': 0.01}

 16%|█▌        | 1585/10000 [1:50:09<25:59:18, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0548274517059326, dino_loss: 0.6953125, depth_loss: 0.06217183172702789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.958992063999176, dino_loss: 0.67578125, depth_loss: 0.059622205793857574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1586/10000 [1:50:20<25:57:10, 11.10s/it]
                                                         
{'loss': 1.7534, 'grad_norm': 1.7261384725570679, 'learning_rate': 4.840504167913949e-05, 'epoch': 0.01}

 16%|█▌        | 1586/10000 [1:50:20<25:57:10, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9248119592666626, dino_loss: 0.73046875, depth_loss: 0.06279963254928589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1113468408584595, dino_loss: 0.703125, depth_loss: 0.06383667886257172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1587/10000 [1:50:31<26:00:50, 11.13s/it]
                                                         
{'loss': 1.7983, 'grad_norm': 1.0916295051574707, 'learning_rate': 4.8402134729780645e-05, 'epoch': 0.01}

 16%|█▌        | 1587/10000 [1:50:31<26:00:50, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.045809268951416, dino_loss: 0.76953125, depth_loss: 0.10057857632637024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9525889158248901, dino_loss: 0.73046875, depth_loss: 0.06577961146831512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1588/10000 [1:50:42<25:51:45, 11.07s/it]
                                                         
{'loss': 1.8325, 'grad_norm': 0.7822823524475098, 'learning_rate': 4.839922522119953e-05, 'epoch': 0.01}

 16%|█▌        | 1588/10000 [1:50:42<25:51:45, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0672814846038818, dino_loss: 0.7734375, depth_loss: 0.10927698016166687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9933071136474609, dino_loss: 0.68359375, depth_loss: 0.05076592043042183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1589/10000 [1:50:53<25:49:01, 11.05s/it]
                                                         
{'loss': 1.8389, 'grad_norm': 2.950467586517334, 'learning_rate': 4.839631315371433e-05, 'epoch': 0.01}

 16%|█▌        | 1589/10000 [1:50:53<25:49:01, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0042343139648438, dino_loss: 0.8203125, depth_loss: 0.06911610066890717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9660139679908752, dino_loss: 0.72265625, depth_loss: 0.057832080870866776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1590/10000 [1:51:04<25:56:54, 11.11s/it]
                                                         
{'loss': 1.8202, 'grad_norm': 1.7916351556777954, 'learning_rate': 4.83933985276435e-05, 'epoch': 0.01}

 16%|█▌        | 1590/10000 [1:51:04<25:56:54, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1129313707351685, dino_loss: 0.7265625, depth_loss: 0.0631362572312355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9331374168395996, dino_loss: 0.71875, depth_loss: 0.07010817527770996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1591/10000 [1:51:15<25:55:23, 11.10s/it]
                                                         
{'loss': 1.8124, 'grad_norm': 1.571123719215393, 'learning_rate': 4.8390481343305765e-05, 'epoch': 0.01}

 16%|█▌        | 1591/10000 [1:51:15<25:55:23, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0694811344146729, dino_loss: 0.734375, depth_loss: 0.06950616091489792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1500120162963867, dino_loss: 0.68359375, depth_loss: 0.06324364244937897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1592/10000 [1:51:27<26:11:10, 11.21s/it]
                                                         
{'loss': 1.8852, 'grad_norm': 1.7090812921524048, 'learning_rate': 4.8387561601020174e-05, 'epoch': 0.01}

 16%|█▌        | 1592/10000 [1:51:27<26:11:10, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1291979551315308, dino_loss: 0.72265625, depth_loss: 0.07589961588382721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.047482967376709, dino_loss: 0.7109375, depth_loss: 0.07445019483566284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1593/10000 [1:51:38<26:16:01, 11.25s/it]
                                                         
{'loss': 1.8804, 'grad_norm': 1.0493569374084473, 'learning_rate': 4.8384639301105994e-05, 'epoch': 0.01}

 16%|█▌        | 1593/10000 [1:51:38<26:16:01, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.955019474029541, dino_loss: 0.7421875, depth_loss: 0.07211629301309586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.9975770711898804, dino_loss: 0.7265625, depth_loss: 0.0685882717370987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1594/10000 [1:51:49<25:56:37, 11.11s/it]
                                                         
{'loss': 1.7811, 'grad_norm': 1.5576612949371338, 'learning_rate': 4.838171444388283e-05, 'epoch': 0.01}

 16%|█▌        | 1594/10000 [1:51:49<25:56:37, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9502692818641663, dino_loss: 0.7109375, depth_loss: 0.07095720618963242, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0753253698349, dino_loss: 0.75, depth_loss: 0.06203635782003403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1595/10000 [1:52:00<25:43:47, 11.02s/it]
                                                         
{'loss': 1.8098, 'grad_norm': 2.483229398727417, 'learning_rate': 4.837878702967052e-05, 'epoch': 0.01}

 16%|█▌        | 1595/10000 [1:52:00<25:43:47, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0697665214538574, dino_loss: 0.71875, depth_loss: 0.05322814732789993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.119889736175537, dino_loss: 0.75390625, depth_loss: 0.07398228347301483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1596/10000 [1:52:11<25:38:28, 10.98s/it]
                                                         
{'loss': 1.8948, 'grad_norm': 2.4935033321380615, 'learning_rate': 4.837585705878921e-05, 'epoch': 0.01}

 16%|█▌        | 1596/10000 [1:52:11<25:38:28, 10.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1118963956832886, dino_loss: 0.69921875, depth_loss: 0.0753348097205162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9264041781425476, dino_loss: 0.703125, depth_loss: 0.06080035865306854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1597/10000 [1:52:22<25:58:58, 11.13s/it]
                                                         
{'loss': 1.796, 'grad_norm': 20.9995174407959, 'learning_rate': 4.8372924531559325e-05, 'epoch': 0.01}

 16%|█▌        | 1597/10000 [1:52:22<25:58:58, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9849233031272888, dino_loss: 0.75, depth_loss: 0.06577357649803162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0370081663131714, dino_loss: 0.69921875, depth_loss: 0.05728904902935028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1598/10000 [1:52:33<26:02:58, 11.16s/it]
                                                         
{'loss': 1.7972, 'grad_norm': 1.437670350074768, 'learning_rate': 4.836998944830155e-05, 'epoch': 0.01}

 16%|█▌        | 1598/10000 [1:52:33<26:02:58, 11.16s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8263474106788635, dino_loss: 0.6953125, depth_loss: 0.06373727321624756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9440374374389648, dino_loss: 0.7265625, depth_loss: 0.05722459405660629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1599/10000 [1:52:45<26:11:35, 11.22s/it]
                                                         
{'loss': 1.6567, 'grad_norm': 6.437366008758545, 'learning_rate': 4.836705180933686e-05, 'epoch': 0.01}

 16%|█▌        | 1599/10000 [1:52:45<26:11:35, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1150931119918823, dino_loss: 0.75, depth_loss: 0.07015387713909149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0380229949951172, dino_loss: 0.7734375, depth_loss: 0.06350585073232651, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1600/10000 [1:52:56<26:12:05, 11.23s/it]
                                                         
{'loss': 1.9052, 'grad_norm': 5.400033950805664, 'learning_rate': 4.8364111614986527e-05, 'epoch': 0.01}

 16%|█▌        | 1600/10000 [1:52:56<26:12:05, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0125226974487305, dino_loss: 0.72265625, depth_loss: 0.075868621468544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0214931964874268, dino_loss: 0.75390625, depth_loss: 0.09012691676616669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1601/10000 [1:53:07<26:11:01, 11.22s/it]
                                                         
{'loss': 1.8384, 'grad_norm': 2.0735368728637695, 'learning_rate': 4.8361168865572065e-05, 'epoch': 0.01}

 16%|█▌        | 1601/10000 [1:53:07<26:11:01, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0661556720733643, dino_loss: 0.734375, depth_loss: 0.06741894781589508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1758054494857788, dino_loss: 0.73046875, depth_loss: 0.06546217203140259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1602/10000 [1:53:18<25:43:46, 11.03s/it]
                                                         
{'loss': 1.92, 'grad_norm': 1.9728243350982666, 'learning_rate': 4.8358223561415304e-05, 'epoch': 0.01}

 16%|█▌        | 1602/10000 [1:53:18<25:43:46, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9891234636306763, dino_loss: 0.70703125, depth_loss: 0.08226697891950607, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1659283638000488, dino_loss: 0.7890625, depth_loss: 0.08325868099927902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1603/10000 [1:53:30<26:21:29, 11.30s/it]
                                                         
{'loss': 1.9085, 'grad_norm': 1.992037057876587, 'learning_rate': 4.8355275702838333e-05, 'epoch': 0.01}

 16%|█▌        | 1603/10000 [1:53:30<26:21:29, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9952855110168457, dino_loss: 0.71875, depth_loss: 0.07794435322284698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9567601084709167, dino_loss: 0.6953125, depth_loss: 0.07590890675783157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1604/10000 [1:53:41<26:21:02, 11.30s/it]
                                                         
{'loss': 1.7601, 'grad_norm': 3.5353219509124756, 'learning_rate': 4.8352325290163526e-05, 'epoch': 0.01}

 16%|█▌        | 1604/10000 [1:53:41<26:21:02, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9543228149414062, dino_loss: 0.69921875, depth_loss: 0.07555039972066879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9493175745010376, dino_loss: 0.75, depth_loss: 0.07192216068506241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1605/10000 [1:53:52<26:16:23, 11.27s/it]
                                                         
{'loss': 1.7503, 'grad_norm': 1.0799016952514648, 'learning_rate': 4.834937232371353e-05, 'epoch': 0.01}

 16%|█▌        | 1605/10000 [1:53:52<26:16:23, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9363354444503784, dino_loss: 0.68359375, depth_loss: 0.06409986317157745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.958869457244873, dino_loss: 0.6953125, depth_loss: 0.07931682467460632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1606/10000 [1:54:03<26:07:11, 11.20s/it]
                                                         
{'loss': 1.7089, 'grad_norm': 2.4041640758514404, 'learning_rate': 4.834641680381129e-05, 'epoch': 0.01}

 16%|█▌        | 1606/10000 [1:54:03<26:07:11, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0831999778747559, dino_loss: 0.78125, depth_loss: 0.08386873453855515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.026037573814392, dino_loss: 0.7109375, depth_loss: 0.0612822063267231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1607/10000 [1:54:14<25:54:15, 11.11s/it]
                                                         
{'loss': 1.8734, 'grad_norm': 1.3034812211990356, 'learning_rate': 4.834345873078e-05, 'epoch': 0.01}

 16%|█▌        | 1607/10000 [1:54:14<25:54:15, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0302314758300781, dino_loss: 0.67578125, depth_loss: 0.059299252927303314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9911353588104248, dino_loss: 0.73046875, depth_loss: 0.06889712810516357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1608/10000 [1:54:25<25:50:44, 11.09s/it]
                                                         
{'loss': 1.8043, 'grad_norm': 38.97063064575195, 'learning_rate': 4.834049810494316e-05, 'epoch': 0.01}

 16%|█▌        | 1608/10000 [1:54:25<25:50:44, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0557734966278076, dino_loss: 0.71875, depth_loss: 0.056296397000551224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0469428300857544, dino_loss: 0.70703125, depth_loss: 0.07232139259576797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1609/10000 [1:54:36<25:50:16, 11.09s/it]
                                                         
{'loss': 1.8288, 'grad_norm': 2.5612423419952393, 'learning_rate': 4.833753492662454e-05, 'epoch': 0.01}

 16%|█▌        | 1609/10000 [1:54:36<25:50:16, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8834879398345947, dino_loss: 0.7109375, depth_loss: 0.06730219721794128, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0247995853424072, dino_loss: 0.703125, depth_loss: 0.06076241657137871, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1610/10000 [1:54:48<26:12:38, 11.25s/it]
                                                         
{'loss': 1.7253, 'grad_norm': 2.002659320831299, 'learning_rate': 4.83345691961482e-05, 'epoch': 0.01}

 16%|█▌        | 1610/10000 [1:54:48<26:12:38, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0257139205932617, dino_loss: 0.75390625, depth_loss: 0.07378353923559189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9796670079231262, dino_loss: 0.70703125, depth_loss: 0.06632544100284576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1611/10000 [1:54:59<25:55:06, 11.12s/it]
                                                         
{'loss': 1.8035, 'grad_norm': 1.3713325262069702, 'learning_rate': 4.8331600913838446e-05, 'epoch': 0.01}

 16%|█▌        | 1611/10000 [1:54:59<25:55:06, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9608943462371826, dino_loss: 0.6875, depth_loss: 0.09482622146606445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0838476419448853, dino_loss: 0.703125, depth_loss: 0.07137559354305267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1612/10000 [1:55:09<25:39:58, 11.02s/it]
                                                         
{'loss': 1.801, 'grad_norm': 2.354915142059326, 'learning_rate': 4.8328630080019886e-05, 'epoch': 0.01}

 16%|█▌        | 1612/10000 [1:55:09<25:39:58, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0489146709442139, dino_loss: 0.69921875, depth_loss: 0.057063158601522446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9836249351501465, dino_loss: 0.72265625, depth_loss: 0.07055351883172989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1613/10000 [1:55:20<25:36:22, 10.99s/it]
                                                         
{'loss': 1.7912, 'grad_norm': 2.6289381980895996, 'learning_rate': 4.832565669501743e-05, 'epoch': 0.01}

 16%|█▌        | 1613/10000 [1:55:20<25:36:22, 10.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9948733448982239, dino_loss: 0.6953125, depth_loss: 0.05774109065532684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.9061155319213867, dino_loss: 0.734375, depth_loss: 0.07867910712957382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1614/10000 [1:55:32<25:48:57, 11.08s/it]
                                                         
{'loss': 1.7337, 'grad_norm': 1.1337374448776245, 'learning_rate': 4.832268075915622e-05, 'epoch': 0.01}

 16%|█▌        | 1614/10000 [1:55:32<25:48:57, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0009651184082031, dino_loss: 0.71875, depth_loss: 0.0716744139790535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0534913539886475, dino_loss: 0.7265625, depth_loss: 0.07439278811216354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1615/10000 [1:55:43<25:43:10, 11.04s/it]
                                                         
{'loss': 1.8231, 'grad_norm': 2.500842809677124, 'learning_rate': 4.831970227276171e-05, 'epoch': 0.01}

 16%|█▌        | 1615/10000 [1:55:43<25:43:10, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0518207550048828, dino_loss: 0.67578125, depth_loss: 0.0514945387840271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0195438861846924, dino_loss: 0.72265625, depth_loss: 0.06414922326803207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1616/10000 [1:55:54<25:48:36, 11.08s/it]
                                                         
{'loss': 1.7929, 'grad_norm': 4.007745742797852, 'learning_rate': 4.831672123615961e-05, 'epoch': 0.01}

 16%|█▌        | 1616/10000 [1:55:54<25:48:36, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0069801807403564, dino_loss: 0.73046875, depth_loss: 0.0637187659740448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9459870457649231, dino_loss: 0.74609375, depth_loss: 0.06668072938919067, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1617/10000 [1:56:05<25:58:45, 11.16s/it]
                                                         
{'loss': 1.7801, 'grad_norm': 1.3288958072662354, 'learning_rate': 4.831373764967595e-05, 'epoch': 0.01}

 16%|█▌        | 1617/10000 [1:56:05<25:58:45, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9970956444740295, dino_loss: 0.734375, depth_loss: 0.071907177567482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.9205437302589417, dino_loss: 0.70703125, depth_loss: 0.0747830718755722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1618/10000 [1:56:16<26:02:14, 11.18s/it]
                                                         
{'loss': 1.753, 'grad_norm': 3.026360034942627, 'learning_rate': 4.8310751513636975e-05, 'epoch': 0.01}

 16%|█▌        | 1618/10000 [1:56:16<26:02:14, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0903525352478027, dino_loss: 0.7421875, depth_loss: 0.05582079291343689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0354444980621338, dino_loss: 0.79296875, depth_loss: 0.08206211030483246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1619/10000 [1:56:27<25:58:39, 11.16s/it]
                                                         
{'loss': 1.8996, 'grad_norm': 0.8103496432304382, 'learning_rate': 4.8307762828369275e-05, 'epoch': 0.01}

 16%|█▌        | 1619/10000 [1:56:27<25:58:39, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0135713815689087, dino_loss: 0.73828125, depth_loss: 0.06821795552968979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0354158878326416, dino_loss: 0.671875, depth_loss: 0.05518796294927597, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1620/10000 [1:56:39<26:03:00, 11.19s/it]
                                                         
{'loss': 1.7914, 'grad_norm': 2.3469958305358887, 'learning_rate': 4.830477159419966e-05, 'epoch': 0.01}

 16%|█▌        | 1620/10000 [1:56:39<26:03:00, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0226277112960815, dino_loss: 0.80859375, depth_loss: 0.06965391337871552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9673928618431091, dino_loss: 0.73046875, depth_loss: 0.06956326961517334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1621/10000 [1:56:50<25:47:48, 11.08s/it]
                                                         
{'loss': 1.8344, 'grad_norm': 1.4532898664474487, 'learning_rate': 4.8301777811455276e-05, 'epoch': 0.01}

 16%|█▌        | 1621/10000 [1:56:50<25:47:48, 11.08s/it]the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.9517796039581299, dino_loss: 0.72265625, depth_loss: 0.0845872089266777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0529662370681763, dino_loss: 0.73046875, depth_loss: 0.10955189168453217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1622/10000 [1:57:00<25:37:08, 11.01s/it]
                                                         
{'loss': 1.8262, 'grad_norm': 3.17238450050354, 'learning_rate': 4.8298781480463495e-05, 'epoch': 0.01}

 16%|█▌        | 1622/10000 [1:57:00<25:37:08, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.029951810836792, dino_loss: 0.70703125, depth_loss: 0.05501308664679527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 1.079615831375122, dino_loss: 0.75, depth_loss: 0.05290350317955017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1623/10000 [1:57:12<25:54:05, 11.13s/it]
                                                         
{'loss': 1.8374, 'grad_norm': 6.063987731933594, 'learning_rate': 4.829578260155201e-05, 'epoch': 0.01}

 16%|█▌        | 1623/10000 [1:57:12<25:54:05, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.824575662612915, dino_loss: 0.72265625, depth_loss: 0.06590886414051056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.138895869255066, dino_loss: 0.69921875, depth_loss: 0.08238989114761353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▌        | 1624/10000 [1:57:23<25:56:39, 11.15s/it]
                                                         
{'loss': 1.7669, 'grad_norm': 1.5122120380401611, 'learning_rate': 4.829278117504876e-05, 'epoch': 0.01}

 16%|█▌        | 1624/10000 [1:57:23<25:56:39, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0164775848388672, dino_loss: 0.6953125, depth_loss: 0.06326429545879364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9825156331062317, dino_loss: 0.69140625, depth_loss: 0.06841851770877838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1625/10000 [1:57:34<25:51:59, 11.12s/it]
                                                         
{'loss': 1.7588, 'grad_norm': 1.6618303060531616, 'learning_rate': 4.8289777201281974e-05, 'epoch': 0.01}

 16%|█▋        | 1625/10000 [1:57:34<25:51:59, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1033567190170288, dino_loss: 0.70703125, depth_loss: 0.07479259371757507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0291056632995605, dino_loss: 0.6796875, depth_loss: 0.0567159503698349, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1626/10000 [1:57:45<25:51:40, 11.12s/it]
                                                         
{'loss': 1.8255, 'grad_norm': 1.3784470558166504, 'learning_rate': 4.8286770680580176e-05, 'epoch': 0.01}

 16%|█▋        | 1626/10000 [1:57:45<25:51:40, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0703963041305542, dino_loss: 0.7578125, depth_loss: 0.06938473880290985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0157825946807861, dino_loss: 0.73828125, depth_loss: 0.05841437727212906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1627/10000 [1:57:56<26:00:03, 11.18s/it]
                                                         
{'loss': 1.8552, 'grad_norm': 1.1347072124481201, 'learning_rate': 4.828376161327215e-05, 'epoch': 0.01}

 16%|█▋        | 1627/10000 [1:57:56<26:00:03, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.123319149017334, dino_loss: 0.7578125, depth_loss: 0.08825419098138809, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.002743124961853, dino_loss: 0.69140625, depth_loss: 0.07420460134744644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1628/10000 [1:58:07<25:47:04, 11.09s/it]
                                                         
{'loss': 1.869, 'grad_norm': 2.927276611328125, 'learning_rate': 4.8280749999686954e-05, 'epoch': 0.01}

 16%|█▋        | 1628/10000 [1:58:07<25:47:04, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0694010257720947, dino_loss: 0.69921875, depth_loss: 0.05942618101835251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.088239073753357, dino_loss: 0.7421875, depth_loss: 0.08066176623106003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1629/10000 [1:58:18<25:40:34, 11.04s/it]
                                                         
{'loss': 1.8697, 'grad_norm': 2.266026020050049, 'learning_rate': 4.8277735840153945e-05, 'epoch': 0.01}

 16%|█▋        | 1629/10000 [1:58:18<25:40:34, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0126678943634033, dino_loss: 0.7265625, depth_loss: 0.07424945384263992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9651064872741699, dino_loss: 0.671875, depth_loss: 0.051064491271972656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1630/10000 [1:58:29<25:31:53, 10.98s/it]
                                                         
{'loss': 1.7509, 'grad_norm': 1.4562363624572754, 'learning_rate': 4.827471913500274e-05, 'epoch': 0.01}

 16%|█▋        | 1630/10000 [1:58:29<25:31:53, 10.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9817142486572266, dino_loss: 0.75, depth_loss: 0.07185880094766617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.988397479057312, dino_loss: 0.671875, depth_loss: 0.061874475330114365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1631/10000 [1:58:40<25:39:02, 11.03s/it]
                                                         
{'loss': 1.763, 'grad_norm': 1.7398287057876587, 'learning_rate': 4.827169988456324e-05, 'epoch': 0.01}

 16%|█▋        | 1631/10000 [1:58:40<25:39:02, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0989112854003906, dino_loss: 0.7265625, depth_loss: 0.06503837555646896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9829431176185608, dino_loss: 0.625, depth_loss: 0.054628267884254456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1632/10000 [1:58:52<25:52:51, 11.13s/it]
                                                         
{'loss': 1.7767, 'grad_norm': 1.4238289594650269, 'learning_rate': 4.826867808916563e-05, 'epoch': 0.01}

 16%|█▋        | 1632/10000 [1:58:52<25:52:51, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0646367073059082, dino_loss: 0.78515625, depth_loss: 0.07009418308734894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1014213562011719, dino_loss: 0.7109375, depth_loss: 0.06519675254821777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1633/10000 [1:59:03<26:00:08, 11.19s/it]
                                                         
{'loss': 1.8988, 'grad_norm': 1.1854379177093506, 'learning_rate': 4.826565374914037e-05, 'epoch': 0.01}

 16%|█▋        | 1633/10000 [1:59:03<26:00:08, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.988515317440033, dino_loss: 0.703125, depth_loss: 0.07336074113845825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.035624384880066, dino_loss: 0.74609375, depth_loss: 0.0737600326538086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1634/10000 [1:59:14<25:48:38, 11.11s/it]
                                                         
{'loss': 1.8103, 'grad_norm': 2.195058584213257, 'learning_rate': 4.826262686481819e-05, 'epoch': 0.01}

 16%|█▋        | 1634/10000 [1:59:14<25:48:38, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0602538585662842, dino_loss: 0.7265625, depth_loss: 0.07945168018341064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0438733100891113, dino_loss: 0.703125, depth_loss: 0.06784610450267792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1635/10000 [1:59:25<25:44:10, 11.08s/it]
                                                         
{'loss': 1.8406, 'grad_norm': 1.3138450384140015, 'learning_rate': 4.8259597436530125e-05, 'epoch': 0.01}

 16%|█▋        | 1635/10000 [1:59:25<25:44:10, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.141802430152893, dino_loss: 0.703125, depth_loss: 0.0702519416809082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.057258129119873, dino_loss: 0.703125, depth_loss: 0.06090223416686058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1636/10000 [1:59:36<25:58:25, 11.18s/it]
                                                         
{'loss': 1.8683, 'grad_norm': 1.60219407081604, 'learning_rate': 4.825656546460745e-05, 'epoch': 0.01}

 16%|█▋        | 1636/10000 [1:59:36<25:58:25, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0694233179092407, dino_loss: 0.71875, depth_loss: 0.06601522862911224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0842454433441162, dino_loss: 0.6953125, depth_loss: 0.0723581537604332, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1637/10000 [1:59:47<25:34:37, 11.01s/it]
                                                         
{'loss': 1.8531, 'grad_norm': 3.3320493698120117, 'learning_rate': 4.825353094938173e-05, 'epoch': 0.01}

 16%|█▋        | 1637/10000 [1:59:47<25:34:37, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0102030038833618, dino_loss: 0.71875, depth_loss: 0.07129202038049698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.102500081062317, dino_loss: 0.6875, depth_loss: 0.06188737601041794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1638/10000 [1:59:58<25:44:01, 11.08s/it]
                                                         
{'loss': 1.8261, 'grad_norm': 1.6314222812652588, 'learning_rate': 4.825049389118484e-05, 'epoch': 0.01}

 16%|█▋        | 1638/10000 [1:59:58<25:44:01, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9597685933113098, dino_loss: 0.7578125, depth_loss: 0.08113981783390045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0326309204101562, dino_loss: 0.68359375, depth_loss: 0.05605185776948929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1639/10000 [2:00:09<25:53:55, 11.15s/it]
                                                         
{'loss': 1.7856, 'grad_norm': 3.2105493545532227, 'learning_rate': 4.8247454290348884e-05, 'epoch': 0.01}

 16%|█▋        | 1639/10000 [2:00:09<25:53:55, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1643764972686768, dino_loss: 0.7109375, depth_loss: 0.06817255914211273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1853477954864502, dino_loss: 0.70703125, depth_loss: 0.06432335078716278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1640/10000 [2:00:20<25:42:54, 11.07s/it]
                                                         
{'loss': 1.9502, 'grad_norm': 3.377990245819092, 'learning_rate': 4.8244412147206284e-05, 'epoch': 0.01}

 16%|█▋        | 1640/10000 [2:00:20<25:42:54, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0097320079803467, dino_loss: 0.71484375, depth_loss: 0.06777092814445496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0257601737976074, dino_loss: 0.73046875, depth_loss: 0.07826869189739227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1641/10000 [2:00:31<25:42:00, 11.07s/it]
                                                         
{'loss': 1.8135, 'grad_norm': 1.5134758949279785, 'learning_rate': 4.824136746208973e-05, 'epoch': 0.01}

 16%|█▋        | 1641/10000 [2:00:31<25:42:00, 11.07s/it]the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.9298902153968811, dino_loss: 0.68359375, depth_loss: 0.06225019693374634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0545988082885742, dino_loss: 0.73828125, depth_loss: 0.06528418511152267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1642/10000 [2:00:43<25:55:38, 11.17s/it]
                                                         
{'loss': 1.767, 'grad_norm': 1.9988751411437988, 'learning_rate': 4.8238320235332156e-05, 'epoch': 0.01}

 16%|█▋        | 1642/10000 [2:00:43<25:55:38, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.931609570980072, dino_loss: 0.7109375, depth_loss: 0.07190370559692383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.002234697341919, dino_loss: 0.73828125, depth_loss: 0.09530770778656006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1643/10000 [2:00:54<25:44:28, 11.09s/it]
                                                         
{'loss': 1.7752, 'grad_norm': 54.28137969970703, 'learning_rate': 4.823527046726682e-05, 'epoch': 0.01}

 16%|█▋        | 1643/10000 [2:00:54<25:44:28, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031327724456787, dino_loss: 0.72265625, depth_loss: 0.08376362919807434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.97683185338974, dino_loss: 0.71484375, depth_loss: 0.07305213063955307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1644/10000 [2:01:05<25:33:49, 11.01s/it]
                                                         
{'loss': 1.8013, 'grad_norm': 46.829864501953125, 'learning_rate': 4.823221815822725e-05, 'epoch': 0.01}

 16%|█▋        | 1644/10000 [2:01:05<25:33:49, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0505098104476929, dino_loss: 0.7265625, depth_loss: 0.07192104309797287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9946725964546204, dino_loss: 0.74609375, depth_loss: 0.061658281832933426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1645/10000 [2:01:15<25:25:13, 10.95s/it]
                                                         
{'loss': 1.8258, 'grad_norm': 3.810288429260254, 'learning_rate': 4.822916330854722e-05, 'epoch': 0.01}

 16%|█▋        | 1645/10000 [2:01:15<25:25:13, 10.95s/it]the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1185550689697266, dino_loss: 0.7265625, depth_loss: 0.06829056888818741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0413140058517456, dino_loss: 0.71484375, depth_loss: 0.07195159792900085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1646/10000 [2:01:26<25:30:44, 10.99s/it]
                                                         
{'loss': 1.8708, 'grad_norm': 1.446803092956543, 'learning_rate': 4.822610591856082e-05, 'epoch': 0.01}

 16%|█▋        | 1646/10000 [2:01:26<25:30:44, 10.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1688730716705322, dino_loss: 0.76953125, depth_loss: 0.06561243534088135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0345418453216553, dino_loss: 0.7109375, depth_loss: 0.09867632389068604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1647/10000 [2:01:38<25:35:05, 11.03s/it]
                                                         
{'loss': 1.9241, 'grad_norm': 1.7959927320480347, 'learning_rate': 4.822304598860241e-05, 'epoch': 0.01}

 16%|█▋        | 1647/10000 [2:01:38<25:35:05, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0271708965301514, dino_loss: 0.72265625, depth_loss: 0.056640759110450745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9662388563156128, dino_loss: 0.7734375, depth_loss: 0.06706151366233826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1648/10000 [2:01:49<25:41:46, 11.08s/it]
                                                         
{'loss': 1.8067, 'grad_norm': 2.549199342727661, 'learning_rate': 4.8219983519006587e-05, 'epoch': 0.01}

 16%|█▋        | 1648/10000 [2:01:49<25:41:46, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.96248859167099, dino_loss: 0.75390625, depth_loss: 0.09441826492547989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9751176834106445, dino_loss: 0.6640625, depth_loss: 0.06346414983272552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1649/10000 [2:02:00<25:50:42, 11.14s/it]
                                                         
{'loss': 1.7568, 'grad_norm': 1.1751540899276733, 'learning_rate': 4.821691851010829e-05, 'epoch': 0.01}

 16%|█▋        | 1649/10000 [2:02:00<25:50:42, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1020818948745728, dino_loss: 0.7421875, depth_loss: 0.07728326320648193, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9134300947189331, dino_loss: 0.72265625, depth_loss: 0.08022373914718628, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 16%|█▋        | 1650/10000 [2:02:11<25:49:37, 11.14s/it]
                                                         
{'loss': 1.819, 'grad_norm': 2.9758663177490234, 'learning_rate': 4.821385096224268e-05, 'epoch': 0.01}

 16%|█▋        | 1650/10000 [2:02:11<25:49:37, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9995602369308472, dino_loss: 0.765625, depth_loss: 0.07604113221168518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1171324253082275, dino_loss: 0.671875, depth_loss: 0.06775631010532379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1651/10000 [2:02:22<25:56:05, 11.18s/it]
                                                         
{'loss': 1.8491, 'grad_norm': 3.1565499305725098, 'learning_rate': 4.821078087574523e-05, 'epoch': 0.01}

 17%|█▋        | 1651/10000 [2:02:22<25:56:05, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0417890548706055, dino_loss: 0.7578125, depth_loss: 0.06886105239391327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1019660234451294, dino_loss: 0.7421875, depth_loss: 0.06450995057821274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1652/10000 [2:02:33<25:46:29, 11.12s/it]
                                                         
{'loss': 1.8886, 'grad_norm': 3.09385347366333, 'learning_rate': 4.820770825095169e-05, 'epoch': 0.01}

 17%|█▋        | 1652/10000 [2:02:33<25:46:29, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0669448375701904, dino_loss: 0.65625, depth_loss: 0.07114803791046143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.026329755783081, dino_loss: 0.6953125, depth_loss: 0.08262646943330765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1653/10000 [2:02:45<26:17:37, 11.34s/it]
                                                         
{'loss': 1.7994, 'grad_norm': 2.1547882556915283, 'learning_rate': 4.8204633088198064e-05, 'epoch': 0.01}

 17%|█▋        | 1653/10000 [2:02:45<26:17:37, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0346238613128662, dino_loss: 0.671875, depth_loss: 0.0627637654542923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9418538808822632, dino_loss: 0.68359375, depth_loss: 0.07190094888210297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1654/10000 [2:02:57<26:29:27, 11.43s/it]
                                                         
{'loss': 1.7334, 'grad_norm': 1.433874487876892, 'learning_rate': 4.8201555387820655e-05, 'epoch': 0.01}

 17%|█▋        | 1654/10000 [2:02:57<26:29:27, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0301716327667236, dino_loss: 0.79296875, depth_loss: 0.07402941584587097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.023040771484375, dino_loss: 0.76953125, depth_loss: 0.06052084267139435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1655/10000 [2:03:09<26:54:50, 11.61s/it]
                                                         
{'loss': 1.8752, 'grad_norm': 1.2014200687408447, 'learning_rate': 4.819847515015602e-05, 'epoch': 0.01}

 17%|█▋        | 1655/10000 [2:03:09<26:54:50, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9261824488639832, dino_loss: 0.69921875, depth_loss: 0.0769272893667221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.080102801322937, dino_loss: 0.703125, depth_loss: 0.09125149995088577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1656/10000 [2:03:20<26:43:15, 11.53s/it]
                                                         
{'loss': 1.7885, 'grad_norm': 1.4501962661743164, 'learning_rate': 4.819539237554103e-05, 'epoch': 0.01}

 17%|█▋        | 1656/10000 [2:03:20<26:43:15, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9769462943077087, dino_loss: 0.66796875, depth_loss: 0.0649634301662445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.026634931564331, dino_loss: 0.75, depth_loss: 0.06990360468626022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1657/10000 [2:03:32<26:54:49, 11.61s/it]
                                                         
{'loss': 1.7783, 'grad_norm': 2.2591705322265625, 'learning_rate': 4.81923070643128e-05, 'epoch': 0.01}

 17%|█▋        | 1657/10000 [2:03:32<26:54:49, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9834948778152466, dino_loss: 0.7734375, depth_loss: 0.0860760286450386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.09433913230896, dino_loss: 0.75, depth_loss: 0.07645366340875626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1658/10000 [2:03:44<27:05:23, 11.69s/it]
                                                         
{'loss': 1.882, 'grad_norm': 2.574962615966797, 'learning_rate': 4.818921921680874e-05, 'epoch': 0.01}

 17%|█▋        | 1658/10000 [2:03:44<27:05:23, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0164624452590942, dino_loss: 0.73828125, depth_loss: 0.06701569259166718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9998971223831177, dino_loss: 0.703125, depth_loss: 0.07273583114147186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1659/10000 [2:03:55<26:36:05, 11.48s/it]
                                                         
{'loss': 1.7988, 'grad_norm': 2.691761016845703, 'learning_rate': 4.818612883336654e-05, 'epoch': 0.01}

 17%|█▋        | 1659/10000 [2:03:55<26:36:05, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0176501274108887, dino_loss: 0.7578125, depth_loss: 0.07441119849681854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9185889959335327, dino_loss: 0.7109375, depth_loss: 0.08349711447954178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1660/10000 [2:04:07<26:38:55, 11.50s/it]
                                                         
{'loss': 1.7822, 'grad_norm': 2.879997968673706, 'learning_rate': 4.8183035914324136e-05, 'epoch': 0.01}

 17%|█▋        | 1660/10000 [2:04:07<26:38:55, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0045443773269653, dino_loss: 0.73828125, depth_loss: 0.07920578122138977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1650010347366333, dino_loss: 0.6796875, depth_loss: 0.06402894854545593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1661/10000 [2:04:18<26:24:00, 11.40s/it]
                                                         
{'loss': 1.8659, 'grad_norm': 1.5951367616653442, 'learning_rate': 4.817994046001979e-05, 'epoch': 0.01}

 17%|█▋        | 1661/10000 [2:04:18<26:24:00, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.95367032289505, dino_loss: 0.6875, depth_loss: 0.0684971734881401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.32857346534729, dino_loss: 0.70703125, depth_loss: 0.06015312299132347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1662/10000 [2:04:29<26:20:19, 11.37s/it]
                                                         
{'loss': 1.9032, 'grad_norm': 2.2445766925811768, 'learning_rate': 4.8176842470792e-05, 'epoch': 0.01}

 17%|█▋        | 1662/10000 [2:04:29<26:20:19, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9356436729431152, dino_loss: 0.6953125, depth_loss: 0.06393826752901077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9231387376785278, dino_loss: 0.7109375, depth_loss: 0.08236251026391983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1663/10000 [2:04:40<26:05:01, 11.26s/it]
                                                         
{'loss': 1.7057, 'grad_norm': 2.0278759002685547, 'learning_rate': 4.817374194697957e-05, 'epoch': 0.01}

 17%|█▋        | 1663/10000 [2:04:40<26:05:01, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0434293746948242, dino_loss: 0.734375, depth_loss: 0.06359104067087173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0150737762451172, dino_loss: 0.71875, depth_loss: 0.101156085729599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1664/10000 [2:04:51<26:08:22, 11.29s/it]
                                                         
{'loss': 1.8383, 'grad_norm': 3.364875078201294, 'learning_rate': 4.817063888892155e-05, 'epoch': 0.01}

 17%|█▋        | 1664/10000 [2:04:51<26:08:22, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9713990688323975, dino_loss: 0.76171875, depth_loss: 0.0663573294878006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1406036615371704, dino_loss: 0.71484375, depth_loss: 0.07711036503314972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1665/10000 [2:05:02<25:59:42, 11.23s/it]
                                                         
{'loss': 1.8661, 'grad_norm': 2.377976655960083, 'learning_rate': 4.81675332969573e-05, 'epoch': 0.01}

 17%|█▋        | 1665/10000 [2:05:02<25:59:42, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0831799507141113, dino_loss: 0.69140625, depth_loss: 0.06106527894735336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0072509050369263, dino_loss: 0.8125, depth_loss: 0.06689750403165817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1666/10000 [2:05:13<25:52:04, 11.17s/it]
                                                         
{'loss': 1.8613, 'grad_norm': 2.344567060470581, 'learning_rate': 4.8164425171426456e-05, 'epoch': 0.01}

 17%|█▋        | 1666/10000 [2:05:13<25:52:04, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8820294141769409, dino_loss: 0.73828125, depth_loss: 0.06033109873533249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9870762825012207, dino_loss: 0.73046875, depth_loss: 0.07137472927570343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1667/10000 [2:05:25<26:17:27, 11.36s/it]
                                                         
{'loss': 1.7349, 'grad_norm': 1.38979971408844, 'learning_rate': 4.816131451266889e-05, 'epoch': 0.01}

 17%|█▋        | 1667/10000 [2:05:25<26:17:27, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9917721152305603, dino_loss: 0.65625, depth_loss: 0.058203332126140594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0552641153335571, dino_loss: 0.73046875, depth_loss: 0.06453198939561844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1668/10000 [2:05:37<26:21:10, 11.39s/it]
                                                         
{'loss': 1.7784, 'grad_norm': 1.548588752746582, 'learning_rate': 4.815820132102479e-05, 'epoch': 0.02}

 17%|█▋        | 1668/10000 [2:05:37<26:21:10, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9757544994354248, dino_loss: 0.734375, depth_loss: 0.08162936568260193, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0223300457000732, dino_loss: 0.76171875, depth_loss: 0.057249072939157486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1669/10000 [2:05:48<26:16:46, 11.36s/it]
                                                         
{'loss': 1.8166, 'grad_norm': 3.5661778450012207, 'learning_rate': 4.815508559683461e-05, 'epoch': 0.02}

 17%|█▋        | 1669/10000 [2:05:48<26:16:46, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0501827001571655, dino_loss: 0.75390625, depth_loss: 0.06632546335458755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.231017827987671, dino_loss: 0.7578125, depth_loss: 0.07078635692596436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1670/10000 [2:05:59<25:47:42, 11.15s/it]
                                                         
{'loss': 1.9651, 'grad_norm': 4.3708295822143555, 'learning_rate': 4.815196734043909e-05, 'epoch': 0.02}

 17%|█▋        | 1670/10000 [2:05:59<25:47:42, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.055832862854004, dino_loss: 0.65625, depth_loss: 0.0703086256980896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9620561599731445, dino_loss: 0.703125, depth_loss: 0.07729107141494751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1671/10000 [2:06:10<25:58:17, 11.23s/it]
                                                         
{'loss': 1.7625, 'grad_norm': 1.1792181730270386, 'learning_rate': 4.814884655217922e-05, 'epoch': 0.02}

 17%|█▋        | 1671/10000 [2:06:10<25:58:17, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8328984975814819, dino_loss: 0.734375, depth_loss: 0.0775318369269371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0243823528289795, dino_loss: 0.75, depth_loss: 0.07295294106006622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1672/10000 [2:06:21<26:04:29, 11.27s/it]
                                                         
{'loss': 1.7461, 'grad_norm': 1.3058805465698242, 'learning_rate': 4.81457232323963e-05, 'epoch': 0.02}

 17%|█▋        | 1672/10000 [2:06:21<26:04:29, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0949928760528564, dino_loss: 0.69921875, depth_loss: 0.06406575441360474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0434308052062988, dino_loss: 0.71484375, depth_loss: 0.07424086332321167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1673/10000 [2:06:33<26:23:25, 11.41s/it]
                                                         
{'loss': 1.8455, 'grad_norm': 3.0668060779571533, 'learning_rate': 4.814259738143189e-05, 'epoch': 0.02}

 17%|█▋        | 1673/10000 [2:06:33<26:23:25, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9905029535293579, dino_loss: 0.78515625, depth_loss: 0.08027393370866776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0581600666046143, dino_loss: 0.72265625, depth_loss: 0.07851891219615936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1674/10000 [2:06:44<25:59:44, 11.24s/it]
                                                         
{'loss': 1.8577, 'grad_norm': 1.4026397466659546, 'learning_rate': 4.8139468999627825e-05, 'epoch': 0.02}

 17%|█▋        | 1674/10000 [2:06:44<25:59:44, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8769890666007996, dino_loss: 0.68359375, depth_loss: 0.06700733304023743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0019444227218628, dino_loss: 0.7421875, depth_loss: 0.08006688207387924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1675/10000 [2:06:55<25:59:23, 11.24s/it]
                                                         
{'loss': 1.726, 'grad_norm': 2.1205601692199707, 'learning_rate': 4.8136338087326216e-05, 'epoch': 0.02}

 17%|█▋        | 1675/10000 [2:06:55<25:59:23, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9384074211120605, dino_loss: 0.6875, depth_loss: 0.06102357059717178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.980419933795929, dino_loss: 0.67578125, depth_loss: 0.06307416409254074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1676/10000 [2:07:07<26:07:47, 11.30s/it]
                                                         
{'loss': 1.7032, 'grad_norm': 6.079135417938232, 'learning_rate': 4.813320464486946e-05, 'epoch': 0.02}

 17%|█▋        | 1676/10000 [2:07:07<26:07:47, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.935688316822052, dino_loss: 0.65625, depth_loss: 0.06044581159949303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.116830587387085, dino_loss: 0.703125, depth_loss: 0.08511161804199219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1677/10000 [2:07:19<26:29:44, 11.46s/it]
                                                         
{'loss': 1.7788, 'grad_norm': 1.4485489130020142, 'learning_rate': 4.813006867260023e-05, 'epoch': 0.02}

 17%|█▋        | 1677/10000 [2:07:19<26:29:44, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0983455181121826, dino_loss: 0.77734375, depth_loss: 0.05452554672956467, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9857567548751831, dino_loss: 0.734375, depth_loss: 0.08336532115936279, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1678/10000 [2:07:30<26:20:43, 11.40s/it]
                                                         
{'loss': 1.8669, 'grad_norm': 2.2670578956604004, 'learning_rate': 4.812693017086145e-05, 'epoch': 0.02}

 17%|█▋        | 1678/10000 [2:07:30<26:20:43, 11.40s/it]the number of masks: 1
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8068885803222656, dino_loss: 0.7578125, depth_loss: 0.06979010254144669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9606483578681946, dino_loss: 0.671875, depth_loss: 0.060379188507795334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1679/10000 [2:07:41<26:19:21, 11.39s/it]
                                                         
{'loss': 1.6638, 'grad_norm': 2.9982357025146484, 'learning_rate': 4.8123789139996364e-05, 'epoch': 0.02}

 17%|█▋        | 1679/10000 [2:07:41<26:19:21, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9517083168029785, dino_loss: 0.66796875, depth_loss: 0.0716526061296463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.915302038192749, dino_loss: 0.75, depth_loss: 0.07277464866638184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1680/10000 [2:07:53<26:29:34, 11.46s/it]
                                                         
{'loss': 1.7148, 'grad_norm': 3.1424055099487305, 'learning_rate': 4.812064558034847e-05, 'epoch': 0.02}

 17%|█▋        | 1680/10000 [2:07:53<26:29:34, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9975408315658569, dino_loss: 0.7265625, depth_loss: 0.06184270232915878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0550566911697388, dino_loss: 0.70703125, depth_loss: 0.07591278105974197, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1681/10000 [2:08:04<26:31:06, 11.48s/it]
                                                         
{'loss': 1.812, 'grad_norm': 4.752673625946045, 'learning_rate': 4.811749949226154e-05, 'epoch': 0.02}

 17%|█▋        | 1681/10000 [2:08:04<26:31:06, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9485733509063721, dino_loss: 0.75390625, depth_loss: 0.08493517339229584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0092451572418213, dino_loss: 0.7109375, depth_loss: 0.06829008460044861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1682/10000 [2:08:16<26:19:43, 11.40s/it]
                                                         
{'loss': 1.788, 'grad_norm': 1.354101300239563, 'learning_rate': 4.811435087607961e-05, 'epoch': 0.02}

 17%|█▋        | 1682/10000 [2:08:16<26:19:43, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0204925537109375, dino_loss: 0.69140625, depth_loss: 0.07559941709041595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9674934148788452, dino_loss: 0.70703125, depth_loss: 0.05876912921667099, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1683/10000 [2:08:27<26:08:23, 11.31s/it]
                                                         
{'loss': 1.7605, 'grad_norm': 2.5098066329956055, 'learning_rate': 4.811119973214703e-05, 'epoch': 0.02}

 17%|█▋        | 1683/10000 [2:08:27<26:08:23, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0314277410507202, dino_loss: 0.74609375, depth_loss: 0.08431030809879303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0884673595428467, dino_loss: 0.75390625, depth_loss: 0.06701019406318665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1684/10000 [2:08:38<26:22:59, 11.42s/it]
                                                         
{'loss': 1.8857, 'grad_norm': 3.278367519378662, 'learning_rate': 4.810804606080839e-05, 'epoch': 0.02}

 17%|█▋        | 1684/10000 [2:08:38<26:22:59, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0221506357192993, dino_loss: 0.6796875, depth_loss: 0.04072302579879761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9613127708435059, dino_loss: 0.703125, depth_loss: 0.06519272178411484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1685/10000 [2:08:50<26:14:14, 11.36s/it]
                                                         
{'loss': 1.7362, 'grad_norm': 4.482705593109131, 'learning_rate': 4.810488986240858e-05, 'epoch': 0.02}

 17%|█▋        | 1685/10000 [2:08:50<26:14:14, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0266084671020508, dino_loss: 0.70703125, depth_loss: 0.07739367336034775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.134569525718689, dino_loss: 0.7421875, depth_loss: 0.07392961531877518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1686/10000 [2:09:01<26:10:59, 11.34s/it]
                                                         
{'loss': 1.8809, 'grad_norm': 1.4310725927352905, 'learning_rate': 4.810173113729274e-05, 'epoch': 0.02}

 17%|█▋        | 1686/10000 [2:09:01<26:10:59, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0427840948104858, dino_loss: 0.703125, depth_loss: 0.06405200809240341, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.089187502861023, dino_loss: 0.72265625, depth_loss: 0.07169590145349503, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1687/10000 [2:09:12<26:11:58, 11.35s/it]
                                                         
{'loss': 1.8468, 'grad_norm': 2.404642343521118, 'learning_rate': 4.809856988580632e-05, 'epoch': 0.02}

 17%|█▋        | 1687/10000 [2:09:12<26:11:58, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9440634250640869, dino_loss: 0.703125, depth_loss: 0.07106383144855499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0942710638046265, dino_loss: 0.75, depth_loss: 0.06060443073511124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1688/10000 [2:09:23<25:52:08, 11.20s/it]
                                                         
{'loss': 1.8116, 'grad_norm': 1.851311206817627, 'learning_rate': 4.8095406108295036e-05, 'epoch': 0.02}

 17%|█▋        | 1688/10000 [2:09:23<25:52:08, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9621175527572632, dino_loss: 0.69921875, depth_loss: 0.06297656893730164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9008594751358032, dino_loss: 0.75390625, depth_loss: 0.06936593353748322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1689/10000 [2:09:35<26:06:20, 11.31s/it]
                                                         
{'loss': 1.7243, 'grad_norm': 1.723460078239441, 'learning_rate': 4.809223980510486e-05, 'epoch': 0.02}

 17%|█▋        | 1689/10000 [2:09:35<26:06:20, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0117301940917969, dino_loss: 0.671875, depth_loss: 0.06457974761724472, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.003971815109253, dino_loss: 0.7421875, depth_loss: 0.05930492281913757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1690/10000 [2:09:46<26:02:01, 11.28s/it]
                                                         
{'loss': 1.7769, 'grad_norm': 2.492219924926758, 'learning_rate': 4.8089070976582054e-05, 'epoch': 0.02}

 17%|█▋        | 1690/10000 [2:09:46<26:02:01, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0454096794128418, dino_loss: 0.703125, depth_loss: 0.06130830943584442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0037158727645874, dino_loss: 0.67578125, depth_loss: 0.06637129187583923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1691/10000 [2:09:57<25:53:20, 11.22s/it]
                                                         
{'loss': 1.7779, 'grad_norm': 1.8249189853668213, 'learning_rate': 4.808589962307316e-05, 'epoch': 0.02}

 17%|█▋        | 1691/10000 [2:09:57<25:53:20, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0168702602386475, dino_loss: 0.76171875, depth_loss: 0.06847423315048218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9286277890205383, dino_loss: 0.68359375, depth_loss: 0.07525361329317093, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1692/10000 [2:10:08<25:44:06, 11.15s/it]
                                                         
{'loss': 1.7673, 'grad_norm': 2.744149923324585, 'learning_rate': 4.8082725744924984e-05, 'epoch': 0.02}

 17%|█▋        | 1692/10000 [2:10:08<25:44:06, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.981876015663147, dino_loss: 0.64453125, depth_loss: 0.05150420218706131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8139322996139526, dino_loss: 0.75390625, depth_loss: 0.09352285414934158, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1693/10000 [2:10:20<26:16:05, 11.38s/it]
                                                         
{'loss': 1.6697, 'grad_norm': 2.3099639415740967, 'learning_rate': 4.807954934248464e-05, 'epoch': 0.02}

 17%|█▋        | 1693/10000 [2:10:20<26:16:05, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9616721272468567, dino_loss: 0.8046875, depth_loss: 0.06819623708724976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9430464506149292, dino_loss: 0.7109375, depth_loss: 0.05819866433739662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1694/10000 [2:10:31<26:06:36, 11.32s/it]
                                                         
{'loss': 1.7734, 'grad_norm': 1.066101312637329, 'learning_rate': 4.807637041609947e-05, 'epoch': 0.02}

 17%|█▋        | 1694/10000 [2:10:31<26:06:36, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0625090599060059, dino_loss: 0.73046875, depth_loss: 0.05444912612438202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.096827507019043, dino_loss: 0.73046875, depth_loss: 0.0564994178712368, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1695/10000 [2:10:42<26:00:43, 11.28s/it]
                                                         
{'loss': 1.8657, 'grad_norm': 1.2943838834762573, 'learning_rate': 4.8073188966117126e-05, 'epoch': 0.02}

 17%|█▋        | 1695/10000 [2:10:42<26:00:43, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.086165189743042, dino_loss: 0.7734375, depth_loss: 0.07157742977142334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9551405310630798, dino_loss: 0.6953125, depth_loss: 0.05585517734289169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1696/10000 [2:10:53<25:57:25, 11.25s/it]
                                                         
{'loss': 1.8188, 'grad_norm': 3.412285804748535, 'learning_rate': 4.807000499288553e-05, 'epoch': 0.02}

 17%|█▋        | 1696/10000 [2:10:53<25:57:25, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9829440116882324, dino_loss: 0.65625, depth_loss: 0.07669320702552795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9744760990142822, dino_loss: 0.71875, depth_loss: 0.0704270526766777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1697/10000 [2:11:05<26:01:36, 11.28s/it]
                                                         
{'loss': 1.7398, 'grad_norm': 1.269877314567566, 'learning_rate': 4.8066818496752875e-05, 'epoch': 0.02}

 17%|█▋        | 1697/10000 [2:11:05<26:01:36, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.014204978942871, dino_loss: 0.7109375, depth_loss: 0.057221267372369766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8611372709274292, dino_loss: 0.671875, depth_loss: 0.05496664345264435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1698/10000 [2:11:16<26:12:38, 11.37s/it]
                                                         
{'loss': 1.6852, 'grad_norm': 3.1054880619049072, 'learning_rate': 4.806362947806763e-05, 'epoch': 0.02}

 17%|█▋        | 1698/10000 [2:11:16<26:12:38, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9565944671630859, dino_loss: 0.7734375, depth_loss: 0.08240272104740143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9986580014228821, dino_loss: 0.68359375, depth_loss: 0.06800346076488495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1699/10000 [2:11:28<26:12:20, 11.36s/it]
                                                         
{'loss': 1.7814, 'grad_norm': 1.2002006769180298, 'learning_rate': 4.8060437937178536e-05, 'epoch': 0.02}

 17%|█▋        | 1699/10000 [2:11:28<26:12:20, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0704408884048462, dino_loss: 0.72265625, depth_loss: 0.08062174916267395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9214626550674438, dino_loss: 0.73828125, depth_loss: 0.07614240795373917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1700/10000 [2:11:39<26:16:49, 11.40s/it]
                                                         
{'loss': 1.8048, 'grad_norm': 1.6226311922073364, 'learning_rate': 4.805724387443462e-05, 'epoch': 0.02}

 17%|█▋        | 1700/10000 [2:11:39<26:16:49, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0336661338806152, dino_loss: 0.7734375, depth_loss: 0.06959289312362671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9760327339172363, dino_loss: 0.72265625, depth_loss: 0.06709077209234238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1701/10000 [2:11:51<26:35:29, 11.54s/it]
                                                         
{'loss': 1.8213, 'grad_norm': 1.6813570261001587, 'learning_rate': 4.8054047290185186e-05, 'epoch': 0.02}

 17%|█▋        | 1701/10000 [2:11:51<26:35:29, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.005007028579712, dino_loss: 0.74609375, depth_loss: 0.06642178446054459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9480961561203003, dino_loss: 0.6875, depth_loss: 0.063010573387146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1702/10000 [2:12:02<26:25:39, 11.47s/it]
                                                         
{'loss': 1.7581, 'grad_norm': 2.1889772415161133, 'learning_rate': 4.805084818477979e-05, 'epoch': 0.02}

 17%|█▋        | 1702/10000 [2:12:02<26:25:39, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0632340908050537, dino_loss: 0.73828125, depth_loss: 0.061173878610134125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0609424114227295, dino_loss: 0.71484375, depth_loss: 0.0675145834684372, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1703/10000 [2:12:13<26:06:22, 11.33s/it]
                                                         
{'loss': 1.853, 'grad_norm': 1.956467866897583, 'learning_rate': 4.8047646558568304e-05, 'epoch': 0.02}

 17%|█▋        | 1703/10000 [2:12:13<26:06:22, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0307886600494385, dino_loss: 0.69921875, depth_loss: 0.06497778743505478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1147236824035645, dino_loss: 0.7578125, depth_loss: 0.07655984163284302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1704/10000 [2:12:24<25:36:37, 11.11s/it]
                                                         
{'loss': 1.8721, 'grad_norm': 1.3462538719177246, 'learning_rate': 4.804444241190084e-05, 'epoch': 0.02}

 17%|█▋        | 1704/10000 [2:12:24<25:36:37, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0372700691223145, dino_loss: 0.6640625, depth_loss: 0.05703042447566986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.919541597366333, dino_loss: 0.66796875, depth_loss: 0.06743741780519485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1705/10000 [2:12:35<25:39:56, 11.14s/it]
                                                         
{'loss': 1.7067, 'grad_norm': 2.049537181854248, 'learning_rate': 4.80412357451278e-05, 'epoch': 0.02}

 17%|█▋        | 1705/10000 [2:12:35<25:39:56, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9945623874664307, dino_loss: 0.73828125, depth_loss: 0.0868789479136467, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0087910890579224, dino_loss: 0.671875, depth_loss: 0.08210137486457825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1706/10000 [2:12:46<25:48:49, 11.20s/it]
                                                         
{'loss': 1.7913, 'grad_norm': 1.6702535152435303, 'learning_rate': 4.803802655859986e-05, 'epoch': 0.02}

 17%|█▋        | 1706/10000 [2:12:46<25:48:49, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0912048816680908, dino_loss: 0.71484375, depth_loss: 0.06703196465969086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.014035701751709, dino_loss: 0.66796875, depth_loss: 0.05884304270148277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1707/10000 [2:12:58<25:52:49, 11.23s/it]
                                                         
{'loss': 1.807, 'grad_norm': 1.7616528272628784, 'learning_rate': 4.8034814852667974e-05, 'epoch': 0.02}

 17%|█▋        | 1707/10000 [2:12:58<25:52:49, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1314282417297363, dino_loss: 0.7109375, depth_loss: 0.08867643028497696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0169261693954468, dino_loss: 0.6796875, depth_loss: 0.08063796907663345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1708/10000 [2:13:09<25:51:11, 11.22s/it]
                                                         
{'loss': 1.8542, 'grad_norm': 1.8447901010513306, 'learning_rate': 4.803160062768337e-05, 'epoch': 0.02}

 17%|█▋        | 1708/10000 [2:13:09<25:51:11, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0353692770004272, dino_loss: 0.70703125, depth_loss: 0.06713339686393738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.994475781917572, dino_loss: 0.73046875, depth_loss: 0.05337417125701904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1709/10000 [2:13:20<25:42:59, 11.17s/it]
                                                         
{'loss': 1.794, 'grad_norm': 1.7721887826919556, 'learning_rate': 4.802838388399754e-05, 'epoch': 0.02}

 17%|█▋        | 1709/10000 [2:13:20<25:42:59, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.951459527015686, dino_loss: 0.69921875, depth_loss: 0.07662522792816162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9883933067321777, dino_loss: 0.69921875, depth_loss: 0.0771167129278183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1710/10000 [2:13:31<25:56:22, 11.26s/it]
                                                         
{'loss': 1.7461, 'grad_norm': 0.9180960059165955, 'learning_rate': 4.8025164621962284e-05, 'epoch': 0.02}

 17%|█▋        | 1710/10000 [2:13:31<25:56:22, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1062734127044678, dino_loss: 0.734375, depth_loss: 0.05978275090456009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0784235000610352, dino_loss: 0.734375, depth_loss: 0.0727720856666565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1711/10000 [2:13:42<25:30:22, 11.08s/it]
                                                         
{'loss': 1.8931, 'grad_norm': 1.0209616422653198, 'learning_rate': 4.802194284192963e-05, 'epoch': 0.02}

 17%|█▋        | 1711/10000 [2:13:42<25:30:22, 11.08s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.9418693780899048, dino_loss: 0.6875, depth_loss: 0.055587369948625565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0146161317825317, dino_loss: 0.6875, depth_loss: 0.058728624135255814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1712/10000 [2:13:54<25:49:20, 11.22s/it]
                                                         
{'loss': 1.723, 'grad_norm': 1.8501290082931519, 'learning_rate': 4.801871854425193e-05, 'epoch': 0.02}

 17%|█▋        | 1712/10000 [2:13:54<25:49:20, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9150734543800354, dino_loss: 0.7109375, depth_loss: 0.058126747608184814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0038139820098877, dino_loss: 0.7265625, depth_loss: 0.06960863620042801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1713/10000 [2:14:05<26:11:47, 11.38s/it]
                                                         
{'loss': 1.7421, 'grad_norm': 1.1178843975067139, 'learning_rate': 4.801549172928177e-05, 'epoch': 0.02}

 17%|█▋        | 1713/10000 [2:14:05<26:11:47, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.046343445777893, dino_loss: 0.71484375, depth_loss: 0.05448324233293533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0969127416610718, dino_loss: 0.70703125, depth_loss: 0.07209945470094681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1714/10000 [2:14:17<26:39:15, 11.58s/it]
                                                         
{'loss': 1.8459, 'grad_norm': 1.7294328212738037, 'learning_rate': 4.801226239737204e-05, 'epoch': 0.02}

 17%|█▋        | 1714/10000 [2:14:17<26:39:15, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9708818793296814, dino_loss: 0.7578125, depth_loss: 0.07556258141994476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0372538566589355, dino_loss: 0.65234375, depth_loss: 0.06924377381801605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1715/10000 [2:14:28<26:09:01, 11.36s/it]
                                                         
{'loss': 1.7816, 'grad_norm': 1.0545718669891357, 'learning_rate': 4.8009030548875896e-05, 'epoch': 0.02}

 17%|█▋        | 1715/10000 [2:14:28<26:09:01, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9574135541915894, dino_loss: 0.70703125, depth_loss: 0.05854342505335808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0491604804992676, dino_loss: 0.76171875, depth_loss: 0.06040159985423088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1716/10000 [2:14:40<26:28:46, 11.51s/it]
                                                         
{'loss': 1.7972, 'grad_norm': 0.8855057954788208, 'learning_rate': 4.800579618414676e-05, 'epoch': 0.02}

 17%|█▋        | 1716/10000 [2:14:40<26:28:46, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1128804683685303, dino_loss: 0.72265625, depth_loss: 0.061747100204229355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0028709173202515, dino_loss: 0.7734375, depth_loss: 0.06556497514247894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1717/10000 [2:14:51<26:20:45, 11.45s/it]
                                                         
{'loss': 1.8696, 'grad_norm': 1.5310602188110352, 'learning_rate': 4.8002559303538344e-05, 'epoch': 0.02}

 17%|█▋        | 1717/10000 [2:14:51<26:20:45, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0174480676651, dino_loss: 0.75390625, depth_loss: 0.05839725211262703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9634712934494019, dino_loss: 0.6875, depth_loss: 0.08699236810207367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1718/10000 [2:15:03<26:05:17, 11.34s/it]
                                                         
{'loss': 1.7839, 'grad_norm': 1.8585712909698486, 'learning_rate': 4.799931990740463e-05, 'epoch': 0.02}

 17%|█▋        | 1718/10000 [2:15:03<26:05:17, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9807502627372742, dino_loss: 0.73046875, depth_loss: 0.05977914109826088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9995435476303101, dino_loss: 0.7109375, depth_loss: 0.06209488585591316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1719/10000 [2:15:14<25:54:22, 11.26s/it]
                                                         
{'loss': 1.7719, 'grad_norm': 1.1869429349899292, 'learning_rate': 4.7996077996099867e-05, 'epoch': 0.02}

 17%|█▋        | 1719/10000 [2:15:14<25:54:22, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0358479022979736, dino_loss: 0.72265625, depth_loss: 0.0639864057302475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.8884214162826538, dino_loss: 0.6640625, depth_loss: 0.06395634263753891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1720/10000 [2:15:25<25:56:38, 11.28s/it]
                                                         
{'loss': 1.7196, 'grad_norm': 1.4101265668869019, 'learning_rate': 4.799283356997859e-05, 'epoch': 0.02}

 17%|█▋        | 1720/10000 [2:15:25<25:56:38, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9903005361557007, dino_loss: 0.7265625, depth_loss: 0.05350247025489807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1181920766830444, dino_loss: 0.73828125, depth_loss: 0.0699041336774826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1721/10000 [2:15:36<25:35:50, 11.13s/it]
                                                         
{'loss': 1.8484, 'grad_norm': 1.8724441528320312, 'learning_rate': 4.79895866293956e-05, 'epoch': 0.02}

 17%|█▋        | 1721/10000 [2:15:36<25:35:50, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0824941396713257, dino_loss: 0.69921875, depth_loss: 0.07390851527452469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9883978366851807, dino_loss: 0.6796875, depth_loss: 0.06104067713022232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1722/10000 [2:15:47<25:22:04, 11.03s/it]
                                                         
{'loss': 1.7924, 'grad_norm': 1.8255493640899658, 'learning_rate': 4.798633717470598e-05, 'epoch': 0.02}

 17%|█▋        | 1722/10000 [2:15:47<25:22:04, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9231997728347778, dino_loss: 0.71875, depth_loss: 0.0725383460521698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9590831995010376, dino_loss: 0.71875, depth_loss: 0.06541092693805695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1723/10000 [2:15:58<25:18:33, 11.01s/it]
                                                         
{'loss': 1.7289, 'grad_norm': 2.478550434112549, 'learning_rate': 4.798308520626509e-05, 'epoch': 0.02}

 17%|█▋        | 1723/10000 [2:15:58<25:18:33, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0836682319641113, dino_loss: 0.6875, depth_loss: 0.06041676551103592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9755377173423767, dino_loss: 0.7265625, depth_loss: 0.06697855144739151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1724/10000 [2:16:09<25:31:22, 11.10s/it]
                                                         
{'loss': 1.8004, 'grad_norm': 2.4164607524871826, 'learning_rate': 4.797983072442855e-05, 'epoch': 0.02}

 17%|█▋        | 1724/10000 [2:16:09<25:31:22, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0162582397460938, dino_loss: 0.73828125, depth_loss: 0.06290022283792496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0483020544052124, dino_loss: 0.72265625, depth_loss: 0.05942462384700775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1725/10000 [2:16:20<25:27:44, 11.08s/it]
                                                         
{'loss': 1.824, 'grad_norm': 3.02645206451416, 'learning_rate': 4.797657372955228e-05, 'epoch': 0.02}

 17%|█▋        | 1725/10000 [2:16:20<25:27:44, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9479686617851257, dino_loss: 0.73046875, depth_loss: 0.061525315046310425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0911128520965576, dino_loss: 0.6953125, depth_loss: 0.06816105544567108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1726/10000 [2:16:31<25:18:13, 11.01s/it]
                                                         
{'loss': 1.7974, 'grad_norm': 2.0300581455230713, 'learning_rate': 4.797331422199245e-05, 'epoch': 0.02}

 17%|█▋        | 1726/10000 [2:16:31<25:18:13, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9578972458839417, dino_loss: 0.6796875, depth_loss: 0.0557221956551075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9328052401542664, dino_loss: 0.67578125, depth_loss: 0.06615740805864334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1727/10000 [2:16:42<25:41:36, 11.18s/it]
                                                         
{'loss': 1.6841, 'grad_norm': 0.9558500647544861, 'learning_rate': 4.797005220210551e-05, 'epoch': 0.02}

 17%|█▋        | 1727/10000 [2:16:42<25:41:36, 11.18s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9516908526420593, dino_loss: 0.7265625, depth_loss: 0.06756903231143951, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8370437622070312, dino_loss: 0.66015625, depth_loss: 0.052535682916641235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1728/10000 [2:16:54<26:02:16, 11.33s/it]
                                                         
{'loss': 1.6478, 'grad_norm': 1.6371674537658691, 'learning_rate': 4.79667876702482e-05, 'epoch': 0.02}

 17%|█▋        | 1728/10000 [2:16:54<26:02:16, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0348575115203857, dino_loss: 0.7578125, depth_loss: 0.0560198575258255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0657527446746826, dino_loss: 0.72265625, depth_loss: 0.05742144584655762, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1729/10000 [2:17:05<25:32:51, 11.12s/it]
                                                         
{'loss': 1.8473, 'grad_norm': 1.7166789770126343, 'learning_rate': 4.7963520626777524e-05, 'epoch': 0.02}

 17%|█▋        | 1729/10000 [2:17:05<25:32:51, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0509434938430786, dino_loss: 0.69140625, depth_loss: 0.05942796915769577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.095625638961792, dino_loss: 0.69140625, depth_loss: 0.07591234892606735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1730/10000 [2:17:16<25:38:39, 11.16s/it]
                                                         
{'loss': 1.8324, 'grad_norm': 1.6148964166641235, 'learning_rate': 4.796025107205075e-05, 'epoch': 0.02}

 17%|█▋        | 1730/10000 [2:17:16<25:38:39, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0842338800430298, dino_loss: 0.75, depth_loss: 0.08030491322278976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.051547884941101, dino_loss: 0.72265625, depth_loss: 0.07245603203773499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1731/10000 [2:17:27<25:30:02, 11.10s/it]
                                                         
{'loss': 1.8818, 'grad_norm': 1.5862544775009155, 'learning_rate': 4.7956979006425454e-05, 'epoch': 0.02}

 17%|█▋        | 1731/10000 [2:17:27<25:30:02, 11.10s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.9051074385643005, dino_loss: 0.6484375, depth_loss: 0.05857670679688454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0458176136016846, dino_loss: 0.76171875, depth_loss: 0.06046502664685249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1732/10000 [2:17:38<25:38:49, 11.17s/it]
                                                         
{'loss': 1.7401, 'grad_norm': 1.4109218120574951, 'learning_rate': 4.7953704430259424e-05, 'epoch': 0.02}

 17%|█▋        | 1732/10000 [2:17:38<25:38:49, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9286829233169556, dino_loss: 0.6953125, depth_loss: 0.057799097150564194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1100672483444214, dino_loss: 0.73046875, depth_loss: 0.07600259780883789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1733/10000 [2:17:49<25:37:07, 11.16s/it]
                                                         
{'loss': 1.7993, 'grad_norm': 1.547189712524414, 'learning_rate': 4.795042734391081e-05, 'epoch': 0.02}

 17%|█▋        | 1733/10000 [2:17:49<25:37:07, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0655362606048584, dino_loss: 0.73828125, depth_loss: 0.06710126996040344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2144721746444702, dino_loss: 0.72265625, depth_loss: 0.05740559101104736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1734/10000 [2:18:00<25:40:09, 11.18s/it]
                                                         
{'loss': 1.9328, 'grad_norm': 3.2345640659332275, 'learning_rate': 4.794714774773796e-05, 'epoch': 0.02}

 17%|█▋        | 1734/10000 [2:18:00<25:40:09, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9636394381523132, dino_loss: 0.625, depth_loss: 0.03739260882139206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.035494089126587, dino_loss: 0.69921875, depth_loss: 0.06801684200763702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1735/10000 [2:18:12<25:53:18, 11.28s/it]
                                                         
{'loss': 1.7145, 'grad_norm': 1.837807297706604, 'learning_rate': 4.794386564209953e-05, 'epoch': 0.02}

 17%|█▋        | 1735/10000 [2:18:12<25:53:18, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9484511613845825, dino_loss: 0.72265625, depth_loss: 0.06996404379606247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.066040277481079, dino_loss: 0.71484375, depth_loss: 0.06636260449886322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1736/10000 [2:18:23<25:44:10, 11.21s/it]
                                                         
{'loss': 1.7943, 'grad_norm': 2.23380184173584, 'learning_rate': 4.7940581027354456e-05, 'epoch': 0.02}

 17%|█▋        | 1736/10000 [2:18:23<25:44:10, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0785884857177734, dino_loss: 0.75390625, depth_loss: 0.0833185464143753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0220288038253784, dino_loss: 0.69140625, depth_loss: 0.06205133721232414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1737/10000 [2:18:34<25:36:29, 11.16s/it]
                                                         
{'loss': 1.846, 'grad_norm': 2.284756898880005, 'learning_rate': 4.7937293903861926e-05, 'epoch': 0.02}

 17%|█▋        | 1737/10000 [2:18:34<25:36:29, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.93951016664505, dino_loss: 0.765625, depth_loss: 0.0673925057053566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9516036510467529, dino_loss: 0.65625, depth_loss: 0.05769411474466324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1738/10000 [2:18:45<25:46:28, 11.23s/it]
                                                         
{'loss': 1.7191, 'grad_norm': 3.4412975311279297, 'learning_rate': 4.7934004271981415e-05, 'epoch': 0.02}

 17%|█▋        | 1738/10000 [2:18:45<25:46:28, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.036597728729248, dino_loss: 0.6640625, depth_loss: 0.07955216616392136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9868142604827881, dino_loss: 0.6953125, depth_loss: 0.06000072881579399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1739/10000 [2:18:57<25:50:55, 11.26s/it]
                                                         
{'loss': 1.7614, 'grad_norm': 1.9518203735351562, 'learning_rate': 4.793071213207269e-05, 'epoch': 0.02}

 17%|█▋        | 1739/10000 [2:18:57<25:50:55, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8720439672470093, dino_loss: 0.76171875, depth_loss: 0.070009246468544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 1.1863563060760498, dino_loss: 0.7421875, depth_loss: 0.06610360741615295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1740/10000 [2:19:08<25:56:10, 11.30s/it]
                                                         
{'loss': 1.8493, 'grad_norm': 2.871177911758423, 'learning_rate': 4.792741748449575e-05, 'epoch': 0.02}

 17%|█▋        | 1740/10000 [2:19:08<25:56:10, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.034184455871582, dino_loss: 0.73828125, depth_loss: 0.06163112074136734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9042761325836182, dino_loss: 0.6796875, depth_loss: 0.07064041495323181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1741/10000 [2:19:20<26:21:02, 11.49s/it]
                                                         
{'loss': 1.7445, 'grad_norm': 1.1859278678894043, 'learning_rate': 4.792412032961091e-05, 'epoch': 0.02}

 17%|█▋        | 1741/10000 [2:19:20<26:21:02, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1292295455932617, dino_loss: 0.7265625, depth_loss: 0.08874933421611786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9702606201171875, dino_loss: 0.65625, depth_loss: 0.06501257419586182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1742/10000 [2:19:31<26:14:50, 11.44s/it]
                                                         
{'loss': 1.8181, 'grad_norm': 1.7426611185073853, 'learning_rate': 4.7920820667778744e-05, 'epoch': 0.02}

 17%|█▋        | 1742/10000 [2:19:31<26:14:50, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9349662661552429, dino_loss: 0.72265625, depth_loss: 0.07484976947307587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.061179757118225, dino_loss: 0.74609375, depth_loss: 0.06364799290895462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1743/10000 [2:19:43<26:02:17, 11.35s/it]
                                                         
{'loss': 1.8018, 'grad_norm': 1.4955413341522217, 'learning_rate': 4.791751849936008e-05, 'epoch': 0.02}

 17%|█▋        | 1743/10000 [2:19:43<26:02:17, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.944126546382904, dino_loss: 0.7109375, depth_loss: 0.07415594160556793, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1207876205444336, dino_loss: 0.66015625, depth_loss: 0.05752168595790863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1744/10000 [2:19:54<25:57:41, 11.32s/it]
                                                         
{'loss': 1.784, 'grad_norm': 1.4823225736618042, 'learning_rate': 4.791421382471605e-05, 'epoch': 0.02}

 17%|█▋        | 1744/10000 [2:19:54<25:57:41, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9219262599945068, dino_loss: 0.7265625, depth_loss: 0.055726826190948486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0269066095352173, dino_loss: 0.69921875, depth_loss: 0.0654774010181427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1745/10000 [2:20:05<25:43:14, 11.22s/it]
                                                         
{'loss': 1.7481, 'grad_norm': 1.5989598035812378, 'learning_rate': 4.7910906644208054e-05, 'epoch': 0.02}

 17%|█▋        | 1745/10000 [2:20:05<25:43:14, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0015981197357178, dino_loss: 0.734375, depth_loss: 0.08124199509620667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0051313638687134, dino_loss: 0.71875, depth_loss: 0.08614832907915115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1746/10000 [2:20:16<25:26:50, 11.10s/it]
                                                         
{'loss': 1.8138, 'grad_norm': 1.5515244007110596, 'learning_rate': 4.7907596958197745e-05, 'epoch': 0.02}

 17%|█▋        | 1746/10000 [2:20:16<25:26:50, 11.10s/it]the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.850226640701294, dino_loss: 0.68359375, depth_loss: 0.06698737293481827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1640775203704834, dino_loss: 0.7421875, depth_loss: 0.05747423693537712, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1747/10000 [2:20:27<25:53:46, 11.30s/it]
                                                         
{'loss': 1.7824, 'grad_norm': 2.348510980606079, 'learning_rate': 4.790428476704708e-05, 'epoch': 0.02}

 17%|█▋        | 1747/10000 [2:20:27<25:53:46, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9705681204795837, dino_loss: 0.71484375, depth_loss: 0.07557637989521027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1002182960510254, dino_loss: 0.69921875, depth_loss: 0.06624917685985565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1748/10000 [2:20:38<25:22:58, 11.07s/it]
                                                         
{'loss': 1.8134, 'grad_norm': 1.2950592041015625, 'learning_rate': 4.790097007111827e-05, 'epoch': 0.02}

 17%|█▋        | 1748/10000 [2:20:38<25:22:58, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0270185470581055, dino_loss: 0.75390625, depth_loss: 0.07102513313293457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0617704391479492, dino_loss: 0.7265625, depth_loss: 0.07173886895179749, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 17%|█▋        | 1749/10000 [2:20:49<25:17:27, 11.03s/it]
                                                         
{'loss': 1.8565, 'grad_norm': 1.6541672945022583, 'learning_rate': 4.78976528707738e-05, 'epoch': 0.02}

 17%|█▋        | 1749/10000 [2:20:49<25:17:27, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0129332542419434, dino_loss: 0.7109375, depth_loss: 0.05762886255979538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0682001113891602, dino_loss: 0.70703125, depth_loss: 0.07333244383335114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1750/10000 [2:21:00<25:08:55, 10.97s/it]
                                                         
{'loss': 1.8155, 'grad_norm': 1.7645363807678223, 'learning_rate': 4.789433316637644e-05, 'epoch': 0.02}

 18%|█▊        | 1750/10000 [2:21:00<25:08:55, 10.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9808821678161621, dino_loss: 0.69921875, depth_loss: 0.07099338620901108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9510773420333862, dino_loss: 0.6796875, depth_loss: 0.07273725420236588, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1751/10000 [2:21:11<25:19:14, 11.05s/it]
                                                         
{'loss': 1.7274, 'grad_norm': 1.071670651435852, 'learning_rate': 4.789101095828922e-05, 'epoch': 0.02}

 18%|█▊        | 1751/10000 [2:21:11<25:19:14, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0921268463134766, dino_loss: 0.734375, depth_loss: 0.06158992275595665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.018577218055725, dino_loss: 0.73046875, depth_loss: 0.074458546936512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1752/10000 [2:21:22<25:29:29, 11.13s/it]
                                                         
{'loss': 1.8559, 'grad_norm': 2.1450493335723877, 'learning_rate': 4.7887686246875465e-05, 'epoch': 0.02}

 18%|█▊        | 1752/10000 [2:21:22<25:29:29, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9813462495803833, dino_loss: 0.671875, depth_loss: 0.06772787868976593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9995517730712891, dino_loss: 0.671875, depth_loss: 0.07647683471441269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1753/10000 [2:21:34<25:47:15, 11.26s/it]
                                                         
{'loss': 1.7345, 'grad_norm': 1.4066542387008667, 'learning_rate': 4.788435903249875e-05, 'epoch': 0.02}

 18%|█▊        | 1753/10000 [2:21:34<25:47:15, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9836065173149109, dino_loss: 0.6875, depth_loss: 0.060312479734420776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9564483165740967, dino_loss: 0.77734375, depth_loss: 0.09262188524007797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1754/10000 [2:21:45<25:46:40, 11.25s/it]
                                                         
{'loss': 1.779, 'grad_norm': 2.9065680503845215, 'learning_rate': 4.788102931552294e-05, 'epoch': 0.02}

 18%|█▊        | 1754/10000 [2:21:45<25:46:40, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0165349245071411, dino_loss: 0.76171875, depth_loss: 0.06882482022047043, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0714631080627441, dino_loss: 0.73828125, depth_loss: 0.06347836554050446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1755/10000 [2:21:56<25:39:55, 11.21s/it]
                                                         
{'loss': 1.8603, 'grad_norm': 1.7117174863815308, 'learning_rate': 4.787769709631217e-05, 'epoch': 0.02}

 18%|█▊        | 1755/10000 [2:21:56<25:39:55, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9904890060424805, dino_loss: 0.7421875, depth_loss: 0.06287012994289398, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1154462099075317, dino_loss: 0.7109375, depth_loss: 0.07753800600767136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1756/10000 [2:22:07<25:19:06, 11.06s/it]
                                                         
{'loss': 1.8498, 'grad_norm': 1.50350022315979, 'learning_rate': 4.787436237523083e-05, 'epoch': 0.02}

 18%|█▊        | 1756/10000 [2:22:07<25:19:06, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0599697828292847, dino_loss: 0.72265625, depth_loss: 0.06164771318435669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0130587816238403, dino_loss: 0.75390625, depth_loss: 0.07713175565004349, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1757/10000 [2:22:17<24:55:22, 10.88s/it]
                                                         
{'loss': 1.8443, 'grad_norm': 1.0733273029327393, 'learning_rate': 4.7871025152643616e-05, 'epoch': 0.02}

 18%|█▊        | 1757/10000 [2:22:17<24:55:22, 10.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9572659730911255, dino_loss: 0.69921875, depth_loss: 0.04768127202987671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0060958862304688, dino_loss: 0.69921875, depth_loss: 0.06480467319488525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1758/10000 [2:22:28<25:02:24, 10.94s/it]
                                                         
{'loss': 1.7372, 'grad_norm': 1.8059583902359009, 'learning_rate': 4.786768542891548e-05, 'epoch': 0.02}

 18%|█▊        | 1758/10000 [2:22:28<25:02:24, 10.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1941678524017334, dino_loss: 0.703125, depth_loss: 0.0849594920873642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 1.1465977430343628, dino_loss: 0.69921875, depth_loss: 0.056231774389743805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1759/10000 [2:22:40<25:14:22, 11.03s/it]
                                                         
{'loss': 1.9422, 'grad_norm': 2.319636344909668, 'learning_rate': 4.786434320441164e-05, 'epoch': 0.02}

 18%|█▊        | 1759/10000 [2:22:40<25:14:22, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0718861818313599, dino_loss: 0.68359375, depth_loss: 0.059068337082862854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9321999549865723, dino_loss: 0.7265625, depth_loss: 0.08638375252485275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1760/10000 [2:22:51<25:25:54, 11.11s/it]
                                                         
{'loss': 1.7799, 'grad_norm': 1.6729220151901245, 'learning_rate': 4.786099847949761e-05, 'epoch': 0.02}

 18%|█▊        | 1760/10000 [2:22:51<25:25:54, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0385743379592896, dino_loss: 0.6796875, depth_loss: 0.06494119018316269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1005817651748657, dino_loss: 0.75390625, depth_loss: 0.07030415534973145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1761/10000 [2:23:02<25:38:17, 11.20s/it]
                                                         
{'loss': 1.8541, 'grad_norm': 1.4784845113754272, 'learning_rate': 4.785765125453916e-05, 'epoch': 0.02}

 18%|█▊        | 1761/10000 [2:23:02<25:38:17, 11.20s/it]the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0768094062805176, dino_loss: 0.69140625, depth_loss: 0.05476093292236328, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0433036088943481, dino_loss: 0.7265625, depth_loss: 0.06650687754154205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1762/10000 [2:23:14<25:35:43, 11.19s/it]
                                                         
{'loss': 1.8298, 'grad_norm': 1.8279677629470825, 'learning_rate': 4.785430152990233e-05, 'epoch': 0.02}

 18%|█▊        | 1762/10000 [2:23:14<25:35:43, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.979958713054657, dino_loss: 0.75, depth_loss: 0.055629901587963104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.17997407913208, dino_loss: 0.71484375, depth_loss: 0.07051222026348114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1763/10000 [2:23:25<25:45:19, 11.26s/it]
                                                         
{'loss': 1.8755, 'grad_norm': 1.7301273345947266, 'learning_rate': 4.7850949305953444e-05, 'epoch': 0.02}

 18%|█▊        | 1763/10000 [2:23:25<25:45:19, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.030800223350525, dino_loss: 0.72265625, depth_loss: 0.057270221412181854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.037567138671875, dino_loss: 0.71875, depth_loss: 0.07179786264896393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1764/10000 [2:23:36<25:44:15, 11.25s/it]
                                                         
{'loss': 1.8195, 'grad_norm': 1.3777868747711182, 'learning_rate': 4.7847594583059096e-05, 'epoch': 0.02}

 18%|█▊        | 1764/10000 [2:23:36<25:44:15, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0376285314559937, dino_loss: 0.7109375, depth_loss: 0.0759347528219223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1085835695266724, dino_loss: 0.71484375, depth_loss: 0.0631183311343193, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1765/10000 [2:23:48<25:57:39, 11.35s/it]
                                                         
{'loss': 1.8556, 'grad_norm': 2.3328006267547607, 'learning_rate': 4.784423736158616e-05, 'epoch': 0.02}

 18%|█▊        | 1765/10000 [2:23:48<25:57:39, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.087143063545227, dino_loss: 0.6953125, depth_loss: 0.05615740641951561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0338504314422607, dino_loss: 0.76171875, depth_loss: 0.05700086057186127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1766/10000 [2:23:59<25:44:03, 11.25s/it]
                                                         
{'loss': 1.8457, 'grad_norm': 2.2803874015808105, 'learning_rate': 4.784087764190177e-05, 'epoch': 0.02}

 18%|█▊        | 1766/10000 [2:23:59<25:44:03, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9450178146362305, dino_loss: 0.734375, depth_loss: 0.07528261095285416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0208595991134644, dino_loss: 0.76171875, depth_loss: 0.06539598107337952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1767/10000 [2:24:10<25:26:47, 11.13s/it]
                                                         
{'loss': 1.8014, 'grad_norm': 1.4935146570205688, 'learning_rate': 4.7837515424373344e-05, 'epoch': 0.02}

 18%|█▊        | 1767/10000 [2:24:10<25:26:47, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9733579754829407, dino_loss: 0.671875, depth_loss: 0.05521145462989807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9744865894317627, dino_loss: 0.6484375, depth_loss: 0.0629650130867958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1768/10000 [2:24:21<25:30:37, 11.16s/it]
                                                         
{'loss': 1.6932, 'grad_norm': 2.0289924144744873, 'learning_rate': 4.783415070936857e-05, 'epoch': 0.02}

 18%|█▊        | 1768/10000 [2:24:21<25:30:37, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.017859697341919, dino_loss: 0.74609375, depth_loss: 0.056252073496580124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9271857738494873, dino_loss: 0.6875, depth_loss: 0.053566258400678635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1769/10000 [2:24:32<25:32:18, 11.17s/it]
                                                         
{'loss': 1.7443, 'grad_norm': 1.4899898767471313, 'learning_rate': 4.78307834972554e-05, 'epoch': 0.02}

 18%|█▊        | 1769/10000 [2:24:32<25:32:18, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8251634836196899, dino_loss: 0.73828125, depth_loss: 0.06246557831764221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9739965200424194, dino_loss: 0.7265625, depth_loss: 0.057506661862134933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1770/10000 [2:24:44<25:49:12, 11.29s/it]
                                                         
{'loss': 1.6921, 'grad_norm': 1.227825403213501, 'learning_rate': 4.7827413788402077e-05, 'epoch': 0.02}

 18%|█▊        | 1770/10000 [2:24:44<25:49:12, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9153804183006287, dino_loss: 0.6328125, depth_loss: 0.042428769171237946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.06312096118927, dino_loss: 0.73046875, depth_loss: 0.06005145609378815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1771/10000 [2:24:55<25:54:18, 11.33s/it]
                                                         
{'loss': 1.7222, 'grad_norm': 1.2597500085830688, 'learning_rate': 4.7824041583177096e-05, 'epoch': 0.02}

 18%|█▊        | 1771/10000 [2:24:55<25:54:18, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9637733697891235, dino_loss: 0.73828125, depth_loss: 0.07794298231601715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0744478702545166, dino_loss: 0.7421875, depth_loss: 0.07178037613630295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1772/10000 [2:25:06<25:35:19, 11.20s/it]
                                                         
{'loss': 1.8343, 'grad_norm': 1.9342271089553833, 'learning_rate': 4.7820666881949246e-05, 'epoch': 0.02}

 18%|█▊        | 1772/10000 [2:25:06<25:35:19, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0792104005813599, dino_loss: 0.734375, depth_loss: 0.07413559406995773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0541467666625977, dino_loss: 0.75, depth_loss: 0.07934291660785675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1773/10000 [2:25:17<25:27:12, 11.14s/it]
                                                         
{'loss': 1.8857, 'grad_norm': 1.7157479524612427, 'learning_rate': 4.7817289685087577e-05, 'epoch': 0.02}

 18%|█▊        | 1773/10000 [2:25:17<25:27:12, 11.14s/it]the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.9254083633422852, dino_loss: 0.7578125, depth_loss: 0.0679650604724884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0851380825042725, dino_loss: 0.71484375, depth_loss: 0.0702432170510292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1774/10000 [2:25:28<25:36:38, 11.21s/it]
                                                         
{'loss': 1.8108, 'grad_norm': 3.4089574813842773, 'learning_rate': 4.781390999296141e-05, 'epoch': 0.02}

 18%|█▊        | 1774/10000 [2:25:28<25:36:38, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0332438945770264, dino_loss: 0.73046875, depth_loss: 0.0780523419380188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9756531715393066, dino_loss: 0.72265625, depth_loss: 0.0794999897480011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1775/10000 [2:25:39<25:30:40, 11.17s/it]
                                                         
{'loss': 1.8099, 'grad_norm': 2.751850128173828, 'learning_rate': 4.781052780594034e-05, 'epoch': 0.02}

 18%|█▊        | 1775/10000 [2:25:39<25:30:40, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.978387176990509, dino_loss: 0.66796875, depth_loss: 0.06214624643325806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9936143159866333, dino_loss: 0.70703125, depth_loss: 0.06749629974365234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1776/10000 [2:25:51<25:39:51, 11.23s/it]
                                                         
{'loss': 1.7384, 'grad_norm': 1.3564200401306152, 'learning_rate': 4.780714312439426e-05, 'epoch': 0.02}

 18%|█▊        | 1776/10000 [2:25:51<25:39:51, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0540082454681396, dino_loss: 0.6875, depth_loss: 0.07758380472660065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.977954626083374, dino_loss: 0.75390625, depth_loss: 0.06411117315292358, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1777/10000 [2:26:02<25:34:16, 11.19s/it]
                                                         
{'loss': 1.8076, 'grad_norm': 5.355855464935303, 'learning_rate': 4.780375594869329e-05, 'epoch': 0.02}

 18%|█▊        | 1777/10000 [2:26:02<25:34:16, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.078194260597229, dino_loss: 0.73046875, depth_loss: 0.07567667216062546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9244575500488281, dino_loss: 0.671875, depth_loss: 0.04353242740035057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1778/10000 [2:26:13<25:29:57, 11.16s/it]
                                                         
{'loss': 1.7622, 'grad_norm': 1.351666808128357, 'learning_rate': 4.7800366279207854e-05, 'epoch': 0.02}

 18%|█▊        | 1778/10000 [2:26:13<25:29:57, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9182330369949341, dino_loss: 0.703125, depth_loss: 0.07063908129930496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9375003576278687, dino_loss: 0.6875, depth_loss: 0.05763053894042969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1779/10000 [2:26:24<25:38:58, 11.23s/it]
                                                         
{'loss': 1.6874, 'grad_norm': 3.090740203857422, 'learning_rate': 4.779697411630865e-05, 'epoch': 0.02}

 18%|█▊        | 1779/10000 [2:26:24<25:38:58, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0138689279556274, dino_loss: 0.6875, depth_loss: 0.06462804973125458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9644073247909546, dino_loss: 0.74609375, depth_loss: 0.07874757796525955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1780/10000 [2:26:36<25:51:34, 11.33s/it]
                                                         
{'loss': 1.7778, 'grad_norm': 0.8739086389541626, 'learning_rate': 4.779357946036661e-05, 'epoch': 0.02}

 18%|█▊        | 1780/10000 [2:26:36<25:51:34, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0501868724822998, dino_loss: 0.75390625, depth_loss: 0.05775722488760948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.939879298210144, dino_loss: 0.65625, depth_loss: 0.06270203739404678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1781/10000 [2:26:47<25:46:13, 11.29s/it]
                                                         
{'loss': 1.7604, 'grad_norm': 3.215498685836792, 'learning_rate': 4.779018231175301e-05, 'epoch': 0.02}

 18%|█▊        | 1781/10000 [2:26:47<25:46:13, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9736743569374084, dino_loss: 0.7109375, depth_loss: 0.06952229142189026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9979881048202515, dino_loss: 0.7109375, depth_loss: 0.09748867154121399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1782/10000 [2:26:58<25:39:14, 11.24s/it]
                                                         
{'loss': 1.7803, 'grad_norm': 1.5966434478759766, 'learning_rate': 4.778678267083933e-05, 'epoch': 0.02}

 18%|█▊        | 1782/10000 [2:26:58<25:39:14, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0021474361419678, dino_loss: 0.75, depth_loss: 0.06128520518541336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.012835144996643, dino_loss: 0.765625, depth_loss: 0.06726346909999847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1783/10000 [2:27:09<25:33:37, 11.20s/it]
                                                         
{'loss': 1.8296, 'grad_norm': 1.8294808864593506, 'learning_rate': 4.778338053799736e-05, 'epoch': 0.02}

 18%|█▊        | 1783/10000 [2:27:09<25:33:37, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.29947829246521, dino_loss: 0.65234375, depth_loss: 0.05482690408825874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0281541347503662, dino_loss: 0.7109375, depth_loss: 0.05673891678452492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1784/10000 [2:27:21<25:37:49, 11.23s/it]
                                                         
{'loss': 1.9013, 'grad_norm': 2.5392637252807617, 'learning_rate': 4.777997591359914e-05, 'epoch': 0.02}

 18%|█▊        | 1784/10000 [2:27:21<25:37:49, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.081695556640625, dino_loss: 0.70703125, depth_loss: 0.06448066234588623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9813022613525391, dino_loss: 0.6875, depth_loss: 0.0785883367061615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1785/10000 [2:27:32<25:40:20, 11.25s/it]
                                                         
{'loss': 1.8004, 'grad_norm': 1.1805580854415894, 'learning_rate': 4.777656879801701e-05, 'epoch': 0.02}

 18%|█▊        | 1785/10000 [2:27:32<25:40:20, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2286608219146729, dino_loss: 0.71484375, depth_loss: 0.0689888447523117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9507707953453064, dino_loss: 0.78125, depth_loss: 0.0654948353767395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1786/10000 [2:27:43<25:29:33, 11.17s/it]
                                                         
{'loss': 1.9051, 'grad_norm': 1.10187828540802, 'learning_rate': 4.7773159191623565e-05, 'epoch': 0.02}

 18%|█▊        | 1786/10000 [2:27:43<25:29:33, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 1.189744472503662, dino_loss: 0.75, depth_loss: 0.05860969424247742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0493663549423218, dino_loss: 0.69140625, depth_loss: 0.05717729404568672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1787/10000 [2:27:54<25:22:41, 11.12s/it]
                                                         
{'loss': 1.8983, 'grad_norm': 1.8131848573684692, 'learning_rate': 4.776974709479166e-05, 'epoch': 0.02}

 18%|█▊        | 1787/10000 [2:27:54<25:22:41, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.041603684425354, dino_loss: 0.72265625, depth_loss: 0.06461232900619507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0408560037612915, dino_loss: 0.69921875, depth_loss: 0.07637844979763031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1788/10000 [2:28:05<25:08:16, 11.02s/it]
                                                         
{'loss': 1.8227, 'grad_norm': 3.434161901473999, 'learning_rate': 4.776633250789445e-05, 'epoch': 0.02}

 18%|█▊        | 1788/10000 [2:28:05<25:08:16, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.965141773223877, dino_loss: 0.71484375, depth_loss: 0.06235489994287491, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9497712254524231, dino_loss: 0.67578125, depth_loss: 0.06871745735406876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1789/10000 [2:28:16<25:13:38, 11.06s/it]
                                                         
{'loss': 1.7184, 'grad_norm': 0.982336163520813, 'learning_rate': 4.7762915431305346e-05, 'epoch': 0.02}

 18%|█▊        | 1789/10000 [2:28:16<25:13:38, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9759461283683777, dino_loss: 0.66015625, depth_loss: 0.059765271842479706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9346696138381958, dino_loss: 0.70703125, depth_loss: 0.06794717907905579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1790/10000 [2:28:27<25:16:52, 11.09s/it]
                                                         
{'loss': 1.7029, 'grad_norm': 0.9403204917907715, 'learning_rate': 4.775949586539803e-05, 'epoch': 0.02}

 18%|█▊        | 1790/10000 [2:28:27<25:16:52, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9459916949272156, dino_loss: 0.69921875, depth_loss: 0.05292946845293045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.984549880027771, dino_loss: 0.671875, depth_loss: 0.05810476094484329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1791/10000 [2:28:39<25:37:20, 11.24s/it]
                                                         
{'loss': 1.7066, 'grad_norm': 3.4730401039123535, 'learning_rate': 4.7756073810546476e-05, 'epoch': 0.02}

 18%|█▊        | 1791/10000 [2:28:39<25:37:20, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9853565692901611, dino_loss: 0.74609375, depth_loss: 0.06331924349069595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.999565601348877, dino_loss: 0.703125, depth_loss: 0.06621687859296799, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1792/10000 [2:28:50<25:31:24, 11.19s/it]
                                                         
{'loss': 1.7819, 'grad_norm': 2.187244415283203, 'learning_rate': 4.775264926712489e-05, 'epoch': 0.02}

 18%|█▊        | 1792/10000 [2:28:50<25:31:24, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0149532556533813, dino_loss: 0.6796875, depth_loss: 0.04426480084657669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0551750659942627, dino_loss: 0.71484375, depth_loss: 0.0665021538734436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1793/10000 [2:29:01<25:26:24, 11.16s/it]
                                                         
{'loss': 1.7878, 'grad_norm': 1.1191089153289795, 'learning_rate': 4.7749222235507794e-05, 'epoch': 0.02}

 18%|█▊        | 1793/10000 [2:29:01<25:26:24, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0175888538360596, dino_loss: 0.6875, depth_loss: 0.07968740910291672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 1.1227754354476929, dino_loss: 0.71484375, depth_loss: 0.0724077820777893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1794/10000 [2:29:12<25:42:07, 11.28s/it]
                                                         
{'loss': 1.8475, 'grad_norm': 1.8590977191925049, 'learning_rate': 4.774579271606996e-05, 'epoch': 0.02}

 18%|█▊        | 1794/10000 [2:29:12<25:42:07, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.032096266746521, dino_loss: 0.69140625, depth_loss: 0.06934842467308044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9399897456169128, dino_loss: 0.68359375, depth_loss: 0.062499865889549255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1795/10000 [2:29:23<25:33:18, 11.21s/it]
                                                         
{'loss': 1.7395, 'grad_norm': 1.302479863166809, 'learning_rate': 4.774236070918643e-05, 'epoch': 0.02}

 18%|█▊        | 1795/10000 [2:29:23<25:33:18, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.044905424118042, dino_loss: 0.6953125, depth_loss: 0.06097482144832611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9330772161483765, dino_loss: 0.75, depth_loss: 0.07356520742177963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1796/10000 [2:29:35<25:33:56, 11.22s/it]
                                                         
{'loss': 1.779, 'grad_norm': 2.1414496898651123, 'learning_rate': 4.7738926215232524e-05, 'epoch': 0.02}

 18%|█▊        | 1796/10000 [2:29:35<25:33:56, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9433125853538513, dino_loss: 0.67578125, depth_loss: 0.07426541298627853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9639570116996765, dino_loss: 0.66015625, depth_loss: 0.05188547819852829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1797/10000 [2:29:46<25:45:48, 11.31s/it]
                                                         
{'loss': 1.6847, 'grad_norm': 1.6297699213027954, 'learning_rate': 4.7735489234583844e-05, 'epoch': 0.02}

 18%|█▊        | 1797/10000 [2:29:46<25:45:48, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1017036437988281, dino_loss: 0.71484375, depth_loss: 0.06581491976976395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1114397048950195, dino_loss: 0.7578125, depth_loss: 0.07909899950027466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1798/10000 [2:29:57<25:30:11, 11.19s/it]
                                                         
{'loss': 1.9154, 'grad_norm': 4.208197593688965, 'learning_rate': 4.773204976761623e-05, 'epoch': 0.02}

 18%|█▊        | 1798/10000 [2:29:57<25:30:11, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0388370752334595, dino_loss: 0.73046875, depth_loss: 0.07312142848968506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.964471697807312, dino_loss: 0.71484375, depth_loss: 0.0908907949924469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1799/10000 [2:30:08<25:29:35, 11.19s/it]
                                                         
{'loss': 1.8064, 'grad_norm': 1.7834408283233643, 'learning_rate': 4.772860781470584e-05, 'epoch': 0.02}

 18%|█▊        | 1799/10000 [2:30:08<25:29:35, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9456186890602112, dino_loss: 0.69921875, depth_loss: 0.07187401503324509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9989895820617676, dino_loss: 0.69921875, depth_loss: 0.06094659864902496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1800/10000 [2:30:20<25:37:44, 11.25s/it]
                                                         
{'loss': 1.738, 'grad_norm': 3.109675168991089, 'learning_rate': 4.7725163376229064e-05, 'epoch': 0.02}

 18%|█▊        | 1800/10000 [2:30:20<25:37:44, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0002988576889038, dino_loss: 0.7265625, depth_loss: 0.061003003269433975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8533152341842651, dino_loss: 0.6875, depth_loss: 0.06323905289173126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1801/10000 [2:30:31<25:27:32, 11.18s/it]
                                                         
{'loss': 1.696, 'grad_norm': 1.2883381843566895, 'learning_rate': 4.772171645256259e-05, 'epoch': 0.02}

 18%|█▊        | 1801/10000 [2:30:31<25:27:32, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.110321044921875, dino_loss: 0.6796875, depth_loss: 0.06698398292064667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0331089496612549, dino_loss: 0.765625, depth_loss: 0.0670432597398758, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1802/10000 [2:30:42<25:27:41, 11.18s/it]
                                                         
{'loss': 1.8614, 'grad_norm': 3.4083049297332764, 'learning_rate': 4.771826704408337e-05, 'epoch': 0.02}

 18%|█▊        | 1802/10000 [2:30:42<25:27:41, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9531685709953308, dino_loss: 0.703125, depth_loss: 0.06911454349756241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0483546257019043, dino_loss: 0.6875, depth_loss: 0.061856709420681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1803/10000 [2:30:53<25:35:06, 11.24s/it]
                                                         
{'loss': 1.7616, 'grad_norm': 1.6579647064208984, 'learning_rate': 4.771481515116862e-05, 'epoch': 0.02}

 18%|█▊        | 1803/10000 [2:30:53<25:35:06, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9714680910110474, dino_loss: 0.71484375, depth_loss: 0.06352454423904419, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0194028615951538, dino_loss: 0.70703125, depth_loss: 0.07016763836145401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1804/10000 [2:31:05<26:08:28, 11.48s/it]
                                                         
{'loss': 1.7747, 'grad_norm': 1.1972907781600952, 'learning_rate': 4.7711360774195835e-05, 'epoch': 0.02}

 18%|█▊        | 1804/10000 [2:31:05<26:08:28, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0168051719665527, dino_loss: 0.6796875, depth_loss: 0.052781686186790466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0827970504760742, dino_loss: 0.75390625, depth_loss: 0.050356317311525345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1805/10000 [2:31:17<26:23:58, 11.60s/it]
                                                         
{'loss': 1.8182, 'grad_norm': 2.081352949142456, 'learning_rate': 4.770790391354279e-05, 'epoch': 0.02}

 18%|█▊        | 1805/10000 [2:31:17<26:23:58, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.032973289489746, dino_loss: 0.734375, depth_loss: 0.07085972279310226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.113295316696167, dino_loss: 0.73046875, depth_loss: 0.06420885771512985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1806/10000 [2:31:29<26:33:19, 11.67s/it]
                                                         
{'loss': 1.8731, 'grad_norm': 2.1658570766448975, 'learning_rate': 4.7704444569587506e-05, 'epoch': 0.02}

 18%|█▊        | 1806/10000 [2:31:29<26:33:19, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.070070505142212, dino_loss: 0.7734375, depth_loss: 0.07052695751190186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1607147455215454, dino_loss: 0.76171875, depth_loss: 0.07810681313276291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1807/10000 [2:31:40<25:58:26, 11.41s/it]
                                                         
{'loss': 1.9573, 'grad_norm': 2.597641944885254, 'learning_rate': 4.77009827427083e-05, 'epoch': 0.02}

 18%|█▊        | 1807/10000 [2:31:40<25:58:26, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9051973819732666, dino_loss: 0.73046875, depth_loss: 0.07113103568553925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.912704348564148, dino_loss: 0.71484375, depth_loss: 0.06904289871454239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1808/10000 [2:31:51<26:06:09, 11.47s/it]
                                                         
{'loss': 1.7018, 'grad_norm': 1.9512230157852173, 'learning_rate': 4.769751843328375e-05, 'epoch': 0.02}

 18%|█▊        | 1808/10000 [2:31:51<26:06:09, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9687213897705078, dino_loss: 0.68359375, depth_loss: 0.07472281157970428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9939190149307251, dino_loss: 0.7421875, depth_loss: 0.07751595228910446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1809/10000 [2:32:03<25:52:53, 11.38s/it]
                                                         
{'loss': 1.7704, 'grad_norm': 2.6993677616119385, 'learning_rate': 4.7694051641692714e-05, 'epoch': 0.02}

 18%|█▊        | 1809/10000 [2:32:03<25:52:53, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0388033390045166, dino_loss: 0.71484375, depth_loss: 0.06540387123823166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1055107116699219, dino_loss: 0.73828125, depth_loss: 0.0651860311627388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1810/10000 [2:32:14<25:36:34, 11.26s/it]
                                                         
{'loss': 1.8641, 'grad_norm': 1.8426004648208618, 'learning_rate': 4.7690582368314304e-05, 'epoch': 0.02}

 18%|█▊        | 1810/10000 [2:32:14<25:36:34, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9023159742355347, dino_loss: 0.6640625, depth_loss: 0.06553538888692856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0817769765853882, dino_loss: 0.73046875, depth_loss: 0.046301521360874176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1811/10000 [2:32:25<25:43:44, 11.31s/it]
                                                         
{'loss': 1.7453, 'grad_norm': 1.9076555967330933, 'learning_rate': 4.7687110613527926e-05, 'epoch': 0.02}

 18%|█▊        | 1811/10000 [2:32:25<25:43:44, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9601958990097046, dino_loss: 0.7734375, depth_loss: 0.08039510250091553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0148496627807617, dino_loss: 0.6484375, depth_loss: 0.057018786668777466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1812/10000 [2:32:36<25:33:33, 11.24s/it]
                                                         
{'loss': 1.7672, 'grad_norm': 2.035515546798706, 'learning_rate': 4.768363637771324e-05, 'epoch': 0.02}

 18%|█▊        | 1812/10000 [2:32:36<25:33:33, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.891701340675354, dino_loss: 0.73828125, depth_loss: 0.0591830238699913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0439848899841309, dino_loss: 0.69921875, depth_loss: 0.07269014418125153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1813/10000 [2:32:47<25:37:55, 11.27s/it]
                                                         
{'loss': 1.7526, 'grad_norm': 1.1833724975585938, 'learning_rate': 4.768015966125018e-05, 'epoch': 0.02}

 18%|█▊        | 1813/10000 [2:32:47<25:37:55, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1217659711837769, dino_loss: 0.7265625, depth_loss: 0.07892248779535294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0030992031097412, dino_loss: 0.703125, depth_loss: 0.06984551250934601, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1814/10000 [2:32:58<25:17:09, 11.12s/it]
                                                         
{'loss': 1.8517, 'grad_norm': 0.8760007619857788, 'learning_rate': 4.767668046451896e-05, 'epoch': 0.02}

 18%|█▊        | 1814/10000 [2:32:58<25:17:09, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8807017803192139, dino_loss: 0.734375, depth_loss: 0.08162957429885864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 1.0663343667984009, dino_loss: 0.69140625, depth_loss: 0.05347268283367157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1815/10000 [2:33:09<25:16:29, 11.12s/it]
                                                         
{'loss': 1.754, 'grad_norm': 2.0089566707611084, 'learning_rate': 4.7673198787900063e-05, 'epoch': 0.02}

 18%|█▊        | 1815/10000 [2:33:09<25:16:29, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0227010250091553, dino_loss: 0.70703125, depth_loss: 0.07616183161735535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1519743204116821, dino_loss: 0.734375, depth_loss: 0.09646618366241455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1816/10000 [2:33:20<25:13:20, 11.09s/it]
                                                         
{'loss': 1.8944, 'grad_norm': 1.6475714445114136, 'learning_rate': 4.7669714631774235e-05, 'epoch': 0.02}

 18%|█▊        | 1816/10000 [2:33:20<25:13:20, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 1.0457348823547363, dino_loss: 0.75, depth_loss: 0.0675896555185318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9802350997924805, dino_loss: 0.73046875, depth_loss: 0.07312791049480438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1817/10000 [2:33:31<25:11:52, 11.09s/it]
                                                         
{'loss': 1.8236, 'grad_norm': 3.218343734741211, 'learning_rate': 4.76662279965225e-05, 'epoch': 0.02}

 18%|█▊        | 1817/10000 [2:33:31<25:11:52, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.167860746383667, dino_loss: 0.78125, depth_loss: 0.07062138617038727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.065401315689087, dino_loss: 0.66796875, depth_loss: 0.07455223798751831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1818/10000 [2:33:43<25:27:54, 11.20s/it]
                                                         
{'loss': 1.9139, 'grad_norm': 1.9155243635177612, 'learning_rate': 4.7662738882526146e-05, 'epoch': 0.02}

 18%|█▊        | 1818/10000 [2:33:43<25:27:54, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9321976900100708, dino_loss: 0.7109375, depth_loss: 0.0755043625831604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9798230528831482, dino_loss: 0.65234375, depth_loss: 0.06156587600708008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1819/10000 [2:33:54<25:32:11, 11.24s/it]
                                                         
{'loss': 1.7062, 'grad_norm': 3.893763542175293, 'learning_rate': 4.765924729016674e-05, 'epoch': 0.02}

 18%|█▊        | 1819/10000 [2:33:54<25:32:11, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0009558200836182, dino_loss: 0.73046875, depth_loss: 0.0724819153547287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0278925895690918, dino_loss: 0.671875, depth_loss: 0.05485418811440468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1820/10000 [2:34:06<25:37:40, 11.28s/it]
                                                         
{'loss': 1.7793, 'grad_norm': 1.716532588005066, 'learning_rate': 4.7655753219826114e-05, 'epoch': 0.02}

 18%|█▊        | 1820/10000 [2:34:06<25:37:40, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.077287197113037, dino_loss: 0.69140625, depth_loss: 0.06280767172574997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0149246454238892, dino_loss: 0.66796875, depth_loss: 0.05114510655403137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1821/10000 [2:34:17<25:37:09, 11.28s/it]
                                                         
{'loss': 1.7828, 'grad_norm': 2.6965653896331787, 'learning_rate': 4.7652256671886386e-05, 'epoch': 0.02}

 18%|█▊        | 1821/10000 [2:34:17<25:37:09, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0332351922988892, dino_loss: 0.71484375, depth_loss: 0.05879448354244232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9819971323013306, dino_loss: 0.734375, depth_loss: 0.07736555486917496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1822/10000 [2:34:28<25:17:49, 11.14s/it]
                                                         
{'loss': 1.8004, 'grad_norm': 1.2937854528427124, 'learning_rate': 4.764875764672992e-05, 'epoch': 0.02}

 18%|█▊        | 1822/10000 [2:34:28<25:17:49, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.130760669708252, dino_loss: 0.703125, depth_loss: 0.06581303477287292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.862912118434906, dino_loss: 0.7265625, depth_loss: 0.07696948200464249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1823/10000 [2:34:39<25:17:16, 11.13s/it]
                                                         
{'loss': 1.7831, 'grad_norm': 1.797347903251648, 'learning_rate': 4.764525614473937e-05, 'epoch': 0.02}

 18%|█▊        | 1823/10000 [2:34:39<25:17:16, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0240521430969238, dino_loss: 0.7421875, depth_loss: 0.07981838285923004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0082345008850098, dino_loss: 0.71484375, depth_loss: 0.07244990766048431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1824/10000 [2:34:50<25:17:05, 11.13s/it]
                                                         
{'loss': 1.8209, 'grad_norm': 1.3847588300704956, 'learning_rate': 4.764175216629766e-05, 'epoch': 0.02}

 18%|█▊        | 1824/10000 [2:34:50<25:17:05, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0350723266601562, dino_loss: 0.72265625, depth_loss: 0.05069523677229881, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9840877056121826, dino_loss: 0.68359375, depth_loss: 0.05773909389972687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1825/10000 [2:35:02<26:01:35, 11.46s/it]
                                                         
{'loss': 1.767, 'grad_norm': 3.807542562484741, 'learning_rate': 4.763824571178798e-05, 'epoch': 0.02}

 18%|█▊        | 1825/10000 [2:35:02<26:01:35, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9984651803970337, dino_loss: 0.71484375, depth_loss: 0.0900942012667656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1127102375030518, dino_loss: 0.69921875, depth_loss: 0.0872277319431305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1826/10000 [2:35:13<25:32:59, 11.25s/it]
                                                         
{'loss': 1.8513, 'grad_norm': 1.3101102113723755, 'learning_rate': 4.763473678159377e-05, 'epoch': 0.02}

 18%|█▊        | 1826/10000 [2:35:13<25:32:59, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0527637004852295, dino_loss: 0.70703125, depth_loss: 0.08141617476940155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9805349707603455, dino_loss: 0.66015625, depth_loss: 0.061096467077732086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1827/10000 [2:35:24<25:33:10, 11.26s/it]
                                                         
{'loss': 1.7716, 'grad_norm': 0.9215659499168396, 'learning_rate': 4.7631225376098784e-05, 'epoch': 0.02}

 18%|█▊        | 1827/10000 [2:35:24<25:33:10, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9721795916557312, dino_loss: 0.7734375, depth_loss: 0.062160979956388474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9490524530410767, dino_loss: 0.76171875, depth_loss: 0.09287942200899124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1828/10000 [2:35:36<25:52:33, 11.40s/it]
                                                         
{'loss': 1.8058, 'grad_norm': 1.2295252084732056, 'learning_rate': 4.762771149568701e-05, 'epoch': 0.02}

 18%|█▊        | 1828/10000 [2:35:36<25:52:33, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.025002121925354, dino_loss: 0.7109375, depth_loss: 0.06567032635211945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9442644119262695, dino_loss: 0.71484375, depth_loss: 0.07299144566059113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1829/10000 [2:35:47<25:42:55, 11.33s/it]
                                                         
{'loss': 1.767, 'grad_norm': 0.9341084361076355, 'learning_rate': 4.7624195140742734e-05, 'epoch': 0.02}

 18%|█▊        | 1829/10000 [2:35:47<25:42:55, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1051697731018066, dino_loss: 0.6796875, depth_loss: 0.06223050504922867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9698171019554138, dino_loss: 0.70703125, depth_loss: 0.07434876263141632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1830/10000 [2:35:59<25:50:59, 11.39s/it]
                                                         
{'loss': 1.7992, 'grad_norm': 1.673149585723877, 'learning_rate': 4.762067631165049e-05, 'epoch': 0.02}

 18%|█▊        | 1830/10000 [2:35:59<25:50:59, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9110420942306519, dino_loss: 0.7109375, depth_loss: 0.06489510089159012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.077532172203064, dino_loss: 0.6953125, depth_loss: 0.06799954175949097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1831/10000 [2:36:10<25:44:09, 11.34s/it]
                                                         
{'loss': 1.7639, 'grad_norm': 1.2018946409225464, 'learning_rate': 4.7617155008795094e-05, 'epoch': 0.02}

 18%|█▊        | 1831/10000 [2:36:10<25:44:09, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9448069334030151, dino_loss: 0.73828125, depth_loss: 0.06579206883907318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9664297699928284, dino_loss: 0.69140625, depth_loss: 0.06971614807844162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1832/10000 [2:36:21<25:47:10, 11.37s/it]
                                                         
{'loss': 1.7383, 'grad_norm': 1.7744864225387573, 'learning_rate': 4.761363123256163e-05, 'epoch': 0.02}

 18%|█▊        | 1832/10000 [2:36:21<25:47:10, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.945315957069397, dino_loss: 0.69140625, depth_loss: 0.06352762132883072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.9176916480064392, dino_loss: 0.6875, depth_loss: 0.06003953143954277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1833/10000 [2:36:32<25:37:43, 11.30s/it]
                                                         
{'loss': 1.6828, 'grad_norm': 1.1177303791046143, 'learning_rate': 4.761010498333546e-05, 'epoch': 0.02}

 18%|█▊        | 1833/10000 [2:36:32<25:37:43, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.963586151599884, dino_loss: 0.69921875, depth_loss: 0.06571861356496811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9721417427062988, dino_loss: 0.7421875, depth_loss: 0.06948105245828629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1834/10000 [2:36:44<25:31:54, 11.26s/it]
                                                         
{'loss': 1.7562, 'grad_norm': 1.2488800287246704, 'learning_rate': 4.760657626150219e-05, 'epoch': 0.02}

 18%|█▊        | 1834/10000 [2:36:44<25:31:54, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9010026454925537, dino_loss: 0.70703125, depth_loss: 0.07147173583507538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.010411024093628, dino_loss: 0.75390625, depth_loss: 0.08218523859977722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1835/10000 [2:36:55<25:39:48, 11.32s/it]
                                                         
{'loss': 1.7631, 'grad_norm': 0.9924839735031128, 'learning_rate': 4.760304506744774e-05, 'epoch': 0.02}

 18%|█▊        | 1835/10000 [2:36:55<25:39:48, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9414492845535278, dino_loss: 0.6875, depth_loss: 0.05477016046643257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9983621835708618, dino_loss: 0.73046875, depth_loss: 0.05551464483141899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1836/10000 [2:37:06<25:41:28, 11.33s/it]
                                                         
{'loss': 1.7341, 'grad_norm': 1.777870774269104, 'learning_rate': 4.759951140155826e-05, 'epoch': 0.02}

 18%|█▊        | 1836/10000 [2:37:06<25:41:28, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9522294998168945, dino_loss: 0.7421875, depth_loss: 0.06912939995527267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.955261766910553, dino_loss: 0.7109375, depth_loss: 0.07731438428163528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1837/10000 [2:37:18<25:59:41, 11.46s/it]
                                                         
{'loss': 1.7536, 'grad_norm': 2.294938802719116, 'learning_rate': 4.759597526422019e-05, 'epoch': 0.02}

 18%|█▊        | 1837/10000 [2:37:18<25:59:41, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9568171501159668, dino_loss: 0.74609375, depth_loss: 0.0714878961443901, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.040937066078186, dino_loss: 0.65625, depth_loss: 0.05523044243454933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1838/10000 [2:37:29<25:48:46, 11.39s/it]
                                                         
{'loss': 1.7635, 'grad_norm': 2.3084335327148438, 'learning_rate': 4.759243665582024e-05, 'epoch': 0.02}

 18%|█▊        | 1838/10000 [2:37:29<25:48:46, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0239684581756592, dino_loss: 0.6640625, depth_loss: 0.070460245013237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1482199430465698, dino_loss: 0.74609375, depth_loss: 0.06998532265424728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1839/10000 [2:37:41<25:42:21, 11.34s/it]
                                                         
{'loss': 1.8615, 'grad_norm': 1.1973991394042969, 'learning_rate': 4.7588895576745385e-05, 'epoch': 0.02}

 18%|█▊        | 1839/10000 [2:37:41<25:42:21, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0197184085845947, dino_loss: 0.765625, depth_loss: 0.06889745593070984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1043410301208496, dino_loss: 0.703125, depth_loss: 0.07817385345697403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1840/10000 [2:37:51<25:26:10, 11.22s/it]
                                                         
{'loss': 1.87, 'grad_norm': 2.306457757949829, 'learning_rate': 4.7585352027382877e-05, 'epoch': 0.02}

 18%|█▊        | 1840/10000 [2:37:51<25:26:10, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.097106695175171, dino_loss: 0.72265625, depth_loss: 0.060758721083402634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2298778295516968, dino_loss: 0.76171875, depth_loss: 0.07013975083827972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1841/10000 [2:38:03<25:22:30, 11.20s/it]
                                                         
{'loss': 1.9712, 'grad_norm': 3.060605525970459, 'learning_rate': 4.7581806008120216e-05, 'epoch': 0.02}

 18%|█▊        | 1841/10000 [2:38:03<25:22:30, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1648340225219727, dino_loss: 0.671875, depth_loss: 0.07686401158571243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0201830863952637, dino_loss: 0.73046875, depth_loss: 0.06561525911092758, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1842/10000 [2:38:14<25:25:50, 11.22s/it]
                                                         
{'loss': 1.865, 'grad_norm': 1.5962820053100586, 'learning_rate': 4.75782575193452e-05, 'epoch': 0.02}

 18%|█▊        | 1842/10000 [2:38:14<25:25:50, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9727057218551636, dino_loss: 0.7421875, depth_loss: 0.07316627353429794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9243785738945007, dino_loss: 0.6796875, depth_loss: 0.05475326254963875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1843/10000 [2:38:26<25:57:01, 11.45s/it]
                                                         
{'loss': 1.7235, 'grad_norm': 1.5321162939071655, 'learning_rate': 4.75747065614459e-05, 'epoch': 0.02}

 18%|█▊        | 1843/10000 [2:38:26<25:57:01, 11.45s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9694284200668335, dino_loss: 0.671875, depth_loss: 0.06976895034313202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9328756332397461, dino_loss: 0.70703125, depth_loss: 0.05724767968058586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1844/10000 [2:38:37<25:30:59, 11.26s/it]
                                                         
{'loss': 1.7042, 'grad_norm': 2.5975916385650635, 'learning_rate': 4.7571153134810634e-05, 'epoch': 0.02}

 18%|█▊        | 1844/10000 [2:38:37<25:30:59, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9166524410247803, dino_loss: 0.69140625, depth_loss: 0.05691573768854141, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9465125799179077, dino_loss: 0.69921875, depth_loss: 0.05924263224005699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1845/10000 [2:38:48<25:33:37, 11.28s/it]
                                                         
{'loss': 1.6851, 'grad_norm': 0.9650520086288452, 'learning_rate': 4.7567597239827974e-05, 'epoch': 0.02}

 18%|█▊        | 1845/10000 [2:38:48<25:33:37, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0253628492355347, dino_loss: 0.7578125, depth_loss: 0.0781911164522171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0025008916854858, dino_loss: 0.74609375, depth_loss: 0.07757176458835602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1846/10000 [2:38:59<25:29:18, 11.25s/it]
                                                         
{'loss': 1.8438, 'grad_norm': 1.1925281286239624, 'learning_rate': 4.756403887688683e-05, 'epoch': 0.02}

 18%|█▊        | 1846/10000 [2:38:59<25:29:18, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1534773111343384, dino_loss: 0.76171875, depth_loss: 0.05955389887094498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9059926271438599, dino_loss: 0.76171875, depth_loss: 0.05862048268318176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1847/10000 [2:39:10<25:22:32, 11.20s/it]
                                                         
{'loss': 1.8507, 'grad_norm': 2.0071001052856445, 'learning_rate': 4.7560478046376314e-05, 'epoch': 0.02}

 18%|█▊        | 1847/10000 [2:39:10<25:22:32, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9454900026321411, dino_loss: 0.7109375, depth_loss: 0.07486169040203094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9658676385879517, dino_loss: 0.69921875, depth_loss: 0.07043717056512833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1848/10000 [2:39:22<25:32:48, 11.28s/it]
                                                         
{'loss': 1.7335, 'grad_norm': 3.6864712238311768, 'learning_rate': 4.755691474868583e-05, 'epoch': 0.02}

 18%|█▊        | 1848/10000 [2:39:22<25:32:48, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0487693548202515, dino_loss: 0.7109375, depth_loss: 0.06894539296627045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.089097023010254, dino_loss: 0.6953125, depth_loss: 0.07820070534944534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1849/10000 [2:39:33<25:10:09, 11.12s/it]
                                                         
{'loss': 1.8458, 'grad_norm': 1.8577417135238647, 'learning_rate': 4.755334898420507e-05, 'epoch': 0.02}

 18%|█▊        | 1849/10000 [2:39:33<25:10:09, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.032210350036621, dino_loss: 0.68359375, depth_loss: 0.058951303362846375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.007920265197754, dino_loss: 0.74609375, depth_loss: 0.07145549356937408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 18%|█▊        | 1850/10000 [2:39:43<24:58:46, 11.03s/it]
                                                         
{'loss': 1.8002, 'grad_norm': 1.470793604850769, 'learning_rate': 4.754978075332398e-05, 'epoch': 0.02}

 18%|█▊        | 1850/10000 [2:39:43<24:58:46, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.025930404663086, dino_loss: 0.72265625, depth_loss: 0.06290417164564133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.067718505859375, dino_loss: 0.7265625, depth_loss: 0.08849150687456131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1851/10000 [2:39:55<25:11:00, 11.13s/it]
                                                         
{'loss': 1.8473, 'grad_norm': 1.2529234886169434, 'learning_rate': 4.754621005643276e-05, 'epoch': 0.02}

 19%|█▊        | 1851/10000 [2:39:55<25:11:00, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.058256983757019, dino_loss: 0.68359375, depth_loss: 0.05691877007484436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0235079526901245, dino_loss: 0.671875, depth_loss: 0.054393284022808075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1852/10000 [2:40:06<25:29:30, 11.26s/it]
                                                         
{'loss': 1.7744, 'grad_norm': 2.873105049133301, 'learning_rate': 4.754263689392191e-05, 'epoch': 0.02}

 19%|█▊        | 1852/10000 [2:40:06<25:29:30, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9183402061462402, dino_loss: 0.68359375, depth_loss: 0.06761181354522705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.022149682044983, dino_loss: 0.69921875, depth_loss: 0.06964612752199173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1853/10000 [2:40:17<25:18:02, 11.18s/it]
                                                         
{'loss': 1.7305, 'grad_norm': 1.300893783569336, 'learning_rate': 4.753906126618218e-05, 'epoch': 0.02}

 19%|█▊        | 1853/10000 [2:40:17<25:18:02, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0532255172729492, dino_loss: 0.6875, depth_loss: 0.08566951751708984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.107629656791687, dino_loss: 0.765625, depth_loss: 0.06929384171962738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1854/10000 [2:40:29<25:23:27, 11.22s/it]
                                                         
{'loss': 1.8847, 'grad_norm': 2.0291919708251953, 'learning_rate': 4.753548317360459e-05, 'epoch': 0.02}

 19%|█▊        | 1854/10000 [2:40:29<25:23:27, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.220656394958496, dino_loss: 0.75, depth_loss: 0.06173861771821976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9154564142227173, dino_loss: 0.7109375, depth_loss: 0.063716821372509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1855/10000 [2:40:40<25:33:28, 11.30s/it]
                                                         
{'loss': 1.8614, 'grad_norm': 3.254068374633789, 'learning_rate': 4.753190261658045e-05, 'epoch': 0.02}

 19%|█▊        | 1855/10000 [2:40:40<25:33:28, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.011676549911499, dino_loss: 0.73828125, depth_loss: 0.06340304017066956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9978854060173035, dino_loss: 0.6875, depth_loss: 0.07176149636507034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1856/10000 [2:40:51<25:24:46, 11.23s/it]
                                                         
{'loss': 1.7854, 'grad_norm': 1.7601491212844849, 'learning_rate': 4.752831959550132e-05, 'epoch': 0.02}

 19%|█▊        | 1856/10000 [2:40:51<25:24:46, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1420629024505615, dino_loss: 0.71484375, depth_loss: 0.05665332078933716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.15171217918396, dino_loss: 0.72265625, depth_loss: 0.06626561284065247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1857/10000 [2:41:03<25:49:50, 11.42s/it]
                                                         
{'loss': 1.9272, 'grad_norm': 5.800058364868164, 'learning_rate': 4.752473411075902e-05, 'epoch': 0.02}

 19%|█▊        | 1857/10000 [2:41:03<25:49:50, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0011968612670898, dino_loss: 0.76171875, depth_loss: 0.05478326231241226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.066999077796936, dino_loss: 0.671875, depth_loss: 0.06673897057771683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1858/10000 [2:41:14<25:34:11, 11.31s/it]
                                                         
{'loss': 1.8118, 'grad_norm': 1.2117910385131836, 'learning_rate': 4.752114616274567e-05, 'epoch': 0.02}

 19%|█▊        | 1858/10000 [2:41:14<25:34:11, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.923875093460083, dino_loss: 0.78515625, depth_loss: 0.07469318807125092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0352511405944824, dino_loss: 0.7421875, depth_loss: 0.0642608106136322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1859/10000 [2:41:25<25:33:40, 11.30s/it]
                                                         
{'loss': 1.8128, 'grad_norm': 1.4531995058059692, 'learning_rate': 4.7517555751853635e-05, 'epoch': 0.02}

 19%|█▊        | 1859/10000 [2:41:25<25:33:40, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0001322031021118, dino_loss: 0.71484375, depth_loss: 0.06923726201057434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.012568712234497, dino_loss: 0.70703125, depth_loss: 0.08519062399864197, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1860/10000 [2:41:36<25:15:26, 11.17s/it]
                                                         
{'loss': 1.795, 'grad_norm': 1.9837855100631714, 'learning_rate': 4.751396287847556e-05, 'epoch': 0.02}

 19%|█▊        | 1860/10000 [2:41:36<25:15:26, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.091661810874939, dino_loss: 0.71484375, depth_loss: 0.07369979470968246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9550594687461853, dino_loss: 0.68359375, depth_loss: 0.057604625821113586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1861/10000 [2:41:47<25:04:05, 11.09s/it]
                                                         
{'loss': 1.7885, 'grad_norm': 2.4843268394470215, 'learning_rate': 4.751036754300434e-05, 'epoch': 0.02}

 19%|█▊        | 1861/10000 [2:41:47<25:04:05, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.080404281616211, dino_loss: 0.73046875, depth_loss: 0.06076541170477867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9098398685455322, dino_loss: 0.75, depth_loss: 0.06398911029100418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1862/10000 [2:41:58<25:06:33, 11.11s/it]
                                                         
{'loss': 1.7978, 'grad_norm': 1.8759526014328003, 'learning_rate': 4.7506769745833184e-05, 'epoch': 0.02}

 19%|█▊        | 1862/10000 [2:41:58<25:06:33, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9341336488723755, dino_loss: 0.68359375, depth_loss: 0.09043943136930466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0243645906448364, dino_loss: 0.68359375, depth_loss: 0.06715777516365051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1863/10000 [2:42:10<25:17:39, 11.19s/it]
                                                         
{'loss': 1.7418, 'grad_norm': 2.5738418102264404, 'learning_rate': 4.750316948735553e-05, 'epoch': 0.02}

 19%|█▊        | 1863/10000 [2:42:10<25:17:39, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9694459438323975, dino_loss: 0.66796875, depth_loss: 0.046394094824790955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0372658967971802, dino_loss: 0.6875, depth_loss: 0.08694574236869812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1864/10000 [2:42:21<25:07:23, 11.12s/it]
                                                         
{'loss': 1.7478, 'grad_norm': 1.4375330209732056, 'learning_rate': 4.749956676796507e-05, 'epoch': 0.02}

 19%|█▊        | 1864/10000 [2:42:21<25:07:23, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0442739725112915, dino_loss: 0.72265625, depth_loss: 0.07517115771770477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0942689180374146, dino_loss: 0.69921875, depth_loss: 0.0644838809967041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1865/10000 [2:42:32<25:13:31, 11.16s/it]
                                                         
{'loss': 1.8503, 'grad_norm': 1.6116092205047607, 'learning_rate': 4.7495961588055836e-05, 'epoch': 0.02}

 19%|█▊        | 1865/10000 [2:42:32<25:13:31, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0094374418258667, dino_loss: 0.65625, depth_loss: 0.05602847412228584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0211379528045654, dino_loss: 0.71484375, depth_loss: 0.0715789943933487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1866/10000 [2:42:43<25:07:07, 11.12s/it]
                                                         
{'loss': 1.7648, 'grad_norm': 1.91148841381073, 'learning_rate': 4.749235394802207e-05, 'epoch': 0.02}

 19%|█▊        | 1866/10000 [2:42:43<25:07:07, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9699891805648804, dino_loss: 0.71484375, depth_loss: 0.09060163050889969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.022439956665039, dino_loss: 0.734375, depth_loss: 0.07341145724058151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1867/10000 [2:42:54<25:02:44, 11.09s/it]
                                                         
{'loss': 1.8029, 'grad_norm': 3.0706627368927, 'learning_rate': 4.7488743848258274e-05, 'epoch': 0.02}

 19%|█▊        | 1867/10000 [2:42:54<25:02:44, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0235580205917358, dino_loss: 0.69921875, depth_loss: 0.051483895629644394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0039682388305664, dino_loss: 0.64453125, depth_loss: 0.055684491991996765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1868/10000 [2:43:05<25:12:39, 11.16s/it]
                                                         
{'loss': 1.7393, 'grad_norm': 1.6969808340072632, 'learning_rate': 4.7485131289159276e-05, 'epoch': 0.02}

 19%|█▊        | 1868/10000 [2:43:05<25:12:39, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1204453706741333, dino_loss: 0.73828125, depth_loss: 0.06690121442079544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9880526065826416, dino_loss: 0.71875, depth_loss: 0.06414882838726044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1869/10000 [2:43:16<25:04:58, 11.11s/it]
                                                         
{'loss': 1.8773, 'grad_norm': 8.383678436279297, 'learning_rate': 4.748151627112012e-05, 'epoch': 0.02}

 19%|█▊        | 1869/10000 [2:43:16<25:04:58, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0950818061828613, dino_loss: 0.67578125, depth_loss: 0.06092850863933563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.037782907485962, dino_loss: 0.6875, depth_loss: 0.05362500250339508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1870/10000 [2:43:27<24:59:47, 11.07s/it]
                                                         
{'loss': 1.9337, 'grad_norm': 218.32174682617188, 'learning_rate': 4.747789879453615e-05, 'epoch': 0.02}

 19%|█▊        | 1870/10000 [2:43:27<24:59:47, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.983741283416748, dino_loss: 0.75390625, depth_loss: 0.0643622949719429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8881241083145142, dino_loss: 0.65234375, depth_loss: 0.058062344789505005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1871/10000 [2:43:38<24:57:47, 11.06s/it]
                                                         
{'loss': 1.7061, 'grad_norm': 37.34574890136719, 'learning_rate': 4.7474278859802965e-05, 'epoch': 0.02}

 19%|█▊        | 1871/10000 [2:43:38<24:57:47, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0197968482971191, dino_loss: 0.68359375, depth_loss: 0.05303925275802612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0773612260818481, dino_loss: 0.6796875, depth_loss: 0.07910525053739548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1872/10000 [2:43:49<24:56:19, 11.05s/it]
                                                         
{'loss': 1.7965, 'grad_norm': 2.710949659347534, 'learning_rate': 4.7470656467316424e-05, 'epoch': 0.02}

 19%|█▊        | 1872/10000 [2:43:49<24:56:19, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.009037971496582, dino_loss: 0.734375, depth_loss: 0.06897565722465515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0380772352218628, dino_loss: 0.765625, depth_loss: 0.0683133453130722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1873/10000 [2:44:00<25:02:45, 11.09s/it]
                                                         
{'loss': 1.8435, 'grad_norm': 4.781021595001221, 'learning_rate': 4.7467031617472676e-05, 'epoch': 0.02}

 19%|█▊        | 1873/10000 [2:44:00<25:02:45, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.023993730545044, dino_loss: 0.6796875, depth_loss: 0.06149286776781082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.016047477722168, dino_loss: 0.65234375, depth_loss: 0.048842355608940125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▊        | 1874/10000 [2:44:12<25:14:55, 11.19s/it]
                                                         
{'loss': 1.7413, 'grad_norm': 3.376084804534912, 'learning_rate': 4.746340431066814e-05, 'epoch': 0.02}

 19%|█▊        | 1874/10000 [2:44:12<25:14:55, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0936249494552612, dino_loss: 0.71484375, depth_loss: 0.06851499527692795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0119731426239014, dino_loss: 0.71484375, depth_loss: 0.07414831221103668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1875/10000 [2:44:23<25:09:45, 11.15s/it]
                                                         
{'loss': 1.8391, 'grad_norm': 3.3176639080047607, 'learning_rate': 4.7459774547299475e-05, 'epoch': 0.02}

 19%|█▉        | 1875/10000 [2:44:23<25:09:45, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0189745426177979, dino_loss: 0.6953125, depth_loss: 0.0841255784034729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1793402433395386, dino_loss: 0.7265625, depth_loss: 0.07018271088600159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1876/10000 [2:44:34<25:05:54, 11.12s/it]
                                                         
{'loss': 1.8873, 'grad_norm': 1.710574746131897, 'learning_rate': 4.745614232776363e-05, 'epoch': 0.02}

 19%|█▉        | 1876/10000 [2:44:34<25:05:54, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0094799995422363, dino_loss: 0.75390625, depth_loss: 0.0791243314743042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1394307613372803, dino_loss: 0.71484375, depth_loss: 0.064931720495224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1877/10000 [2:44:45<25:13:33, 11.18s/it]
                                                         
{'loss': 1.8809, 'grad_norm': 2.843493938446045, 'learning_rate': 4.745250765245783e-05, 'epoch': 0.02}

 19%|█▉        | 1877/10000 [2:44:45<25:13:33, 11.18s/it]the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9375920295715332, dino_loss: 0.65625, depth_loss: 0.048554521054029465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9723306894302368, dino_loss: 0.671875, depth_loss: 0.060008831322193146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1878/10000 [2:44:56<25:11:55, 11.17s/it]
                                                         
{'loss': 1.6734, 'grad_norm': 3.4479215145111084, 'learning_rate': 4.744887052177954e-05, 'epoch': 0.02}

 19%|█▉        | 1878/10000 [2:44:56<25:11:55, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0501277446746826, dino_loss: 0.72265625, depth_loss: 0.0779985561966896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9878616333007812, dino_loss: 0.68359375, depth_loss: 0.055248331278562546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1879/10000 [2:45:07<24:56:24, 11.06s/it]
                                                         
{'loss': 1.7888, 'grad_norm': 1.1058439016342163, 'learning_rate': 4.744523093612653e-05, 'epoch': 0.02}

 19%|█▉        | 1879/10000 [2:45:07<24:56:24, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9477384090423584, dino_loss: 0.734375, depth_loss: 0.07653316110372543, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9740263819694519, dino_loss: 0.70703125, depth_loss: 0.08080297708511353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1880/10000 [2:45:18<25:00:38, 11.09s/it]
                                                         
{'loss': 1.7603, 'grad_norm': 1.3097167015075684, 'learning_rate': 4.7441588895896805e-05, 'epoch': 0.02}

 19%|█▉        | 1880/10000 [2:45:18<25:00:38, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9891768097877502, dino_loss: 0.68359375, depth_loss: 0.0615847110748291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9758670330047607, dino_loss: 0.69921875, depth_loss: 0.05558832734823227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1881/10000 [2:45:30<25:05:10, 11.12s/it]
                                                         
{'loss': 1.7326, 'grad_norm': 0.9356676340103149, 'learning_rate': 4.7437944401488666e-05, 'epoch': 0.02}

 19%|█▉        | 1881/10000 [2:45:30<25:05:10, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.065811038017273, dino_loss: 0.765625, depth_loss: 0.06659577041864395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9935523271560669, dino_loss: 0.70703125, depth_loss: 0.0498945415019989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1882/10000 [2:45:41<25:03:47, 11.11s/it]
                                                         
{'loss': 1.8243, 'grad_norm': 1.0802165269851685, 'learning_rate': 4.743429745330066e-05, 'epoch': 0.02}

 19%|█▉        | 1882/10000 [2:45:41<25:03:47, 11.11s/it]the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.9576283693313599, dino_loss: 0.703125, depth_loss: 0.0692131370306015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9961644411087036, dino_loss: 0.66796875, depth_loss: 0.057241231203079224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1883/10000 [2:45:53<25:44:27, 11.42s/it]
                                                         
{'loss': 1.7257, 'grad_norm': 2.2058911323547363, 'learning_rate': 4.7430648051731606e-05, 'epoch': 0.02}

 19%|█▉        | 1883/10000 [2:45:53<25:44:27, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9839551448822021, dino_loss: 0.69140625, depth_loss: 0.07350240647792816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0531026124954224, dino_loss: 0.6640625, depth_loss: 0.05392304062843323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1884/10000 [2:46:04<25:37:07, 11.36s/it]
                                                         
{'loss': 1.7601, 'grad_norm': 1.9081239700317383, 'learning_rate': 4.742699619718061e-05, 'epoch': 0.02}

 19%|█▉        | 1884/10000 [2:46:04<25:37:07, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1136822700500488, dino_loss: 0.70703125, depth_loss: 0.06233308091759682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0269689559936523, dino_loss: 0.71875, depth_loss: 0.05487552285194397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1885/10000 [2:46:15<25:13:29, 11.19s/it]
                                                         
{'loss': 1.8419, 'grad_norm': 0.9012009501457214, 'learning_rate': 4.742334189004704e-05, 'epoch': 0.02}

 19%|█▉        | 1885/10000 [2:46:15<25:13:29, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0102572441101074, dino_loss: 0.74609375, depth_loss: 0.06740164756774902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9729381799697876, dino_loss: 0.78125, depth_loss: 0.07378421723842621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1886/10000 [2:46:26<25:17:05, 11.22s/it]
                                                         
{'loss': 1.827, 'grad_norm': 16.562746047973633, 'learning_rate': 4.74196851307305e-05, 'epoch': 0.02}

 19%|█▉        | 1886/10000 [2:46:26<25:17:05, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9659907817840576, dino_loss: 0.75, depth_loss: 0.07331079244613647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9728672504425049, dino_loss: 0.69140625, depth_loss: 0.07754246145486832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1887/10000 [2:46:38<25:28:44, 11.31s/it]
                                                         
{'loss': 1.7658, 'grad_norm': 1.3532160520553589, 'learning_rate': 4.7416025919630904e-05, 'epoch': 0.02}

 19%|█▉        | 1887/10000 [2:46:38<25:28:44, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.931364893913269, dino_loss: 0.67578125, depth_loss: 0.048330873250961304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8860981464385986, dino_loss: 0.74609375, depth_loss: 0.06544440984725952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1888/10000 [2:46:49<25:17:02, 11.22s/it]
                                                         
{'loss': 1.6768, 'grad_norm': 1.397816777229309, 'learning_rate': 4.741236425714841e-05, 'epoch': 0.02}

 19%|█▉        | 1888/10000 [2:46:49<25:17:02, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0920681953430176, dino_loss: 0.74609375, depth_loss: 0.07239105552434921, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.999047577381134, dino_loss: 0.74609375, depth_loss: 0.06821927428245544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1889/10000 [2:47:00<25:10:23, 11.17s/it]
                                                         
{'loss': 1.8774, 'grad_norm': 51.39292526245117, 'learning_rate': 4.740870014368346e-05, 'epoch': 0.02}

 19%|█▉        | 1889/10000 [2:47:00<25:10:23, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9737802743911743, dino_loss: 0.703125, depth_loss: 0.054669007658958435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1072288751602173, dino_loss: 0.66015625, depth_loss: 0.053925521671772, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1890/10000 [2:47:11<25:13:47, 11.20s/it]
                                                         
{'loss': 1.7767, 'grad_norm': 1.873118281364441, 'learning_rate': 4.7405033579636756e-05, 'epoch': 0.02}

 19%|█▉        | 1890/10000 [2:47:11<25:13:47, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0443799495697021, dino_loss: 0.76171875, depth_loss: 0.0801168754696846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8952023983001709, dino_loss: 0.69921875, depth_loss: 0.06160818785429001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1891/10000 [2:47:22<25:01:22, 11.11s/it]
                                                         
{'loss': 1.7712, 'grad_norm': 1.1507703065872192, 'learning_rate': 4.740136456540927e-05, 'epoch': 0.02}

 19%|█▉        | 1891/10000 [2:47:22<25:01:22, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1091351509094238, dino_loss: 0.65625, depth_loss: 0.05621054768562317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9809423089027405, dino_loss: 0.80859375, depth_loss: 0.0701545998454094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1892/10000 [2:47:33<25:01:20, 11.11s/it]
                                                         
{'loss': 1.8407, 'grad_norm': 1.9281471967697144, 'learning_rate': 4.739769310140223e-05, 'epoch': 0.02}

 19%|█▉        | 1892/10000 [2:47:33<25:01:20, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9813169240951538, dino_loss: 0.73046875, depth_loss: 0.06836961209774017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0102696418762207, dino_loss: 0.7109375, depth_loss: 0.05947551876306534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1893/10000 [2:47:44<25:12:07, 11.19s/it]
                                                         
{'loss': 1.7805, 'grad_norm': 1.067179560661316, 'learning_rate': 4.739401918801715e-05, 'epoch': 0.02}

 19%|█▉        | 1893/10000 [2:47:44<25:12:07, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0461251735687256, dino_loss: 0.73046875, depth_loss: 0.07526139169931412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1306122541427612, dino_loss: 0.74609375, depth_loss: 0.07180631905794144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1894/10000 [2:47:55<24:49:38, 11.03s/it]
                                                         
{'loss': 1.9002, 'grad_norm': 1.3636798858642578, 'learning_rate': 4.7390342825655795e-05, 'epoch': 0.02}

 19%|█▉        | 1894/10000 [2:47:55<24:49:38, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0063087940216064, dino_loss: 0.71875, depth_loss: 0.0648835301399231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8954049348831177, dino_loss: 0.703125, depth_loss: 0.08889130502939224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1895/10000 [2:48:06<25:04:14, 11.14s/it]
                                                         
{'loss': 1.7387, 'grad_norm': 1.226452112197876, 'learning_rate': 4.738666401472022e-05, 'epoch': 0.02}

 19%|█▉        | 1895/10000 [2:48:06<25:04:14, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8679894208908081, dino_loss: 0.68359375, depth_loss: 0.056334368884563446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.99285888671875, dino_loss: 0.71875, depth_loss: 0.0554179884493351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1896/10000 [2:48:18<25:06:31, 11.15s/it]
                                                         
{'loss': 1.6875, 'grad_norm': 1.375666618347168, 'learning_rate': 4.7382982755612716e-05, 'epoch': 0.02}

 19%|█▉        | 1896/10000 [2:48:18<25:06:31, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0070717334747314, dino_loss: 0.71875, depth_loss: 0.059168510138988495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0180349349975586, dino_loss: 0.7265625, depth_loss: 0.0814555436372757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1897/10000 [2:48:29<25:14:56, 11.22s/it]
                                                         
{'loss': 1.8056, 'grad_norm': 1.3347879648208618, 'learning_rate': 4.7379299048735876e-05, 'epoch': 0.02}

 19%|█▉        | 1897/10000 [2:48:29<25:14:56, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.954780101776123, dino_loss: 0.7421875, depth_loss: 0.06695037335157394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9451832175254822, dino_loss: 0.69140625, depth_loss: 0.05900561809539795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1898/10000 [2:48:40<25:02:41, 11.13s/it]
                                                         
{'loss': 1.7298, 'grad_norm': 1.3625867366790771, 'learning_rate': 4.7375612894492536e-05, 'epoch': 0.02}

 19%|█▉        | 1898/10000 [2:48:40<25:02:41, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9078693389892578, dino_loss: 0.6171875, depth_loss: 0.05028840899467468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0260201692581177, dino_loss: 0.640625, depth_loss: 0.05890749394893646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1899/10000 [2:48:52<25:26:23, 11.31s/it]
                                                         
{'loss': 1.6505, 'grad_norm': 1.2139872312545776, 'learning_rate': 4.737192429328582e-05, 'epoch': 0.02}

 19%|█▉        | 1899/10000 [2:48:52<25:26:23, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9692692160606384, dino_loss: 0.7421875, depth_loss: 0.06937539577484131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9080675840377808, dino_loss: 0.75, depth_loss: 0.08856483548879623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1900/10000 [2:49:03<25:30:54, 11.34s/it]
                                                         
{'loss': 1.7638, 'grad_norm': 1.1424305438995361, 'learning_rate': 4.736823324551909e-05, 'epoch': 0.02}

 19%|█▉        | 1900/10000 [2:49:03<25:30:54, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0902531147003174, dino_loss: 0.7109375, depth_loss: 0.054081790149211884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.013627290725708, dino_loss: 0.74609375, depth_loss: 0.07574205845594406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1901/10000 [2:49:14<25:18:59, 11.25s/it]
                                                         
{'loss': 1.8454, 'grad_norm': 2.5335311889648438, 'learning_rate': 4.736453975159601e-05, 'epoch': 0.02}

 19%|█▉        | 1901/10000 [2:49:14<25:18:59, 11.25s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 1.2021100521087646, dino_loss: 0.6875, depth_loss: 0.06549564749002457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9034032821655273, dino_loss: 0.73046875, depth_loss: 0.06385422497987747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1902/10000 [2:49:26<25:28:45, 11.33s/it]
                                                         
{'loss': 1.8265, 'grad_norm': 3.9321887493133545, 'learning_rate': 4.736084381192048e-05, 'epoch': 0.02}

 19%|█▉        | 1902/10000 [2:49:26<25:28:45, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.990446150302887, dino_loss: 0.73046875, depth_loss: 0.07415403425693512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9340982437133789, dino_loss: 0.71484375, depth_loss: 0.08775334060192108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1903/10000 [2:49:36<25:11:24, 11.20s/it]
                                                         
{'loss': 1.7659, 'grad_norm': 1.0327022075653076, 'learning_rate': 4.735714542689669e-05, 'epoch': 0.02}

 19%|█▉        | 1903/10000 [2:49:36<25:11:24, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0797926187515259, dino_loss: 0.7265625, depth_loss: 0.07884210348129272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0011528730392456, dino_loss: 0.75, depth_loss: 0.07230367511510849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1904/10000 [2:49:47<24:45:59, 11.01s/it]
                                                         
{'loss': 1.8544, 'grad_norm': 1.2502151727676392, 'learning_rate': 4.735344459692909e-05, 'epoch': 0.02}

 19%|█▉        | 1904/10000 [2:49:47<24:45:59, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1192400455474854, dino_loss: 0.7421875, depth_loss: 0.06881336122751236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9375534057617188, dino_loss: 0.703125, depth_loss: 0.07980199158191681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1905/10000 [2:49:58<24:40:46, 10.98s/it]
                                                         
{'loss': 1.8254, 'grad_norm': 1.3599454164505005, 'learning_rate': 4.73497413224224e-05, 'epoch': 0.02}

 19%|█▉        | 1905/10000 [2:49:58<24:40:46, 10.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0330009460449219, dino_loss: 0.74609375, depth_loss: 0.06965942680835724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.9982256889343262, dino_loss: 0.7578125, depth_loss: 0.07145348936319351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1906/10000 [2:50:09<24:50:32, 11.05s/it]
                                                         
{'loss': 1.8382, 'grad_norm': 1.3991692066192627, 'learning_rate': 4.73460356037816e-05, 'epoch': 0.02}

 19%|█▉        | 1906/10000 [2:50:09<24:50:32, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.039630651473999, dino_loss: 0.7265625, depth_loss: 0.06010116636753082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.029054045677185, dino_loss: 0.7265625, depth_loss: 0.05767156556248665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1907/10000 [2:50:20<25:03:18, 11.15s/it]
                                                         
{'loss': 1.8199, 'grad_norm': 1.5937280654907227, 'learning_rate': 4.734232744141194e-05, 'epoch': 0.02}

 19%|█▉        | 1907/10000 [2:50:20<25:03:18, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0634269714355469, dino_loss: 0.6875, depth_loss: 0.05494270473718643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9106751680374146, dino_loss: 0.734375, depth_loss: 0.06252732872962952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1908/10000 [2:50:32<25:14:43, 11.23s/it]
                                                         
{'loss': 1.7568, 'grad_norm': 1.997373104095459, 'learning_rate': 4.733861683571894e-05, 'epoch': 0.02}

 19%|█▉        | 1908/10000 [2:50:32<25:14:43, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0004966259002686, dino_loss: 0.73828125, depth_loss: 0.0741562470793724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0423167943954468, dino_loss: 0.71484375, depth_loss: 0.07334549725055695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1909/10000 [2:50:43<25:25:06, 11.31s/it]
                                                         
{'loss': 1.8218, 'grad_norm': 1.4168542623519897, 'learning_rate': 4.7334903787108397e-05, 'epoch': 0.02}

 19%|█▉        | 1909/10000 [2:50:43<25:25:06, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9019891619682312, dino_loss: 0.7421875, depth_loss: 0.05775997042655945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0326571464538574, dino_loss: 0.72265625, depth_loss: 0.08352340012788773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1910/10000 [2:50:54<25:12:11, 11.22s/it]
                                                         
{'loss': 1.7704, 'grad_norm': 1.4413458108901978, 'learning_rate': 4.733118829598635e-05, 'epoch': 0.02}

 19%|█▉        | 1910/10000 [2:50:54<25:12:11, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9530309438705444, dino_loss: 0.71875, depth_loss: 0.07329107820987701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1272602081298828, dino_loss: 0.71484375, depth_loss: 0.06684807687997818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1911/10000 [2:51:05<24:59:10, 11.12s/it]
                                                         
{'loss': 1.8271, 'grad_norm': 1.3852629661560059, 'learning_rate': 4.732747036275913e-05, 'epoch': 0.02}

 19%|█▉        | 1911/10000 [2:51:05<24:59:10, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8436403274536133, dino_loss: 0.74609375, depth_loss: 0.07421549409627914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.027998685836792, dino_loss: 0.71875, depth_loss: 0.0707140564918518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1912/10000 [2:51:16<25:00:17, 11.13s/it]
                                                         
{'loss': 1.7408, 'grad_norm': 2.0745537281036377, 'learning_rate': 4.732374998783332e-05, 'epoch': 0.02}

 19%|█▉        | 1912/10000 [2:51:16<25:00:17, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9800480008125305, dino_loss: 0.67578125, depth_loss: 0.05685368925333023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1743144989013672, dino_loss: 0.77734375, depth_loss: 0.07583335787057877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1913/10000 [2:51:27<24:48:39, 11.04s/it]
                                                         
{'loss': 1.8701, 'grad_norm': 1.5210301876068115, 'learning_rate': 4.732002717161577e-05, 'epoch': 0.02}

 19%|█▉        | 1913/10000 [2:51:27<24:48:39, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9753561019897461, dino_loss: 0.6796875, depth_loss: 0.06373205780982971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.926443338394165, dino_loss: 0.6953125, depth_loss: 0.07149428874254227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1914/10000 [2:51:39<25:15:56, 11.25s/it]
                                                         
{'loss': 1.7061, 'grad_norm': 1.6176573038101196, 'learning_rate': 4.7316301914513605e-05, 'epoch': 0.02}

 19%|█▉        | 1914/10000 [2:51:39<25:15:56, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0429459810256958, dino_loss: 0.7265625, depth_loss: 0.06431449949741364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.970693826675415, dino_loss: 0.671875, depth_loss: 0.058426015079021454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1915/10000 [2:51:50<25:17:43, 11.26s/it]
                                                         
{'loss': 1.7675, 'grad_norm': 1.2809315919876099, 'learning_rate': 4.7312574216934225e-05, 'epoch': 0.02}

 19%|█▉        | 1915/10000 [2:51:50<25:17:43, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.068405270576477, dino_loss: 0.8125, depth_loss: 0.06554366648197174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9861940741539001, dino_loss: 0.6875, depth_loss: 0.05958816781640053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1916/10000 [2:52:02<25:14:28, 11.24s/it]
                                                         
{'loss': 1.8399, 'grad_norm': 3.1373283863067627, 'learning_rate': 4.730884407928526e-05, 'epoch': 0.02}

 19%|█▉        | 1916/10000 [2:52:02<25:14:28, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0832445621490479, dino_loss: 0.64453125, depth_loss: 0.0611376091837883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9291062951087952, dino_loss: 0.70703125, depth_loss: 0.06683102250099182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1917/10000 [2:52:13<25:15:28, 11.25s/it]
                                                         
{'loss': 1.746, 'grad_norm': 1.1123007535934448, 'learning_rate': 4.730511150197466e-05, 'epoch': 0.02}

 19%|█▉        | 1917/10000 [2:52:13<25:15:28, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0191800594329834, dino_loss: 0.6953125, depth_loss: 0.05817263573408127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.98990797996521, dino_loss: 0.71484375, depth_loss: 0.08638346195220947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1918/10000 [2:52:24<25:07:18, 11.19s/it]
                                                         
{'loss': 1.782, 'grad_norm': 0.9087127447128296, 'learning_rate': 4.7301376485410596e-05, 'epoch': 0.02}

 19%|█▉        | 1918/10000 [2:52:24<25:07:18, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9879850745201111, dino_loss: 0.75390625, depth_loss: 0.05956515669822693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0469424724578857, dino_loss: 0.73828125, depth_loss: 0.06471707671880722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1919/10000 [2:52:35<25:04:17, 11.17s/it]
                                                         
{'loss': 1.8258, 'grad_norm': 0.7619174718856812, 'learning_rate': 4.729763903000153e-05, 'epoch': 0.02}

 19%|█▉        | 1919/10000 [2:52:35<25:04:17, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0340664386749268, dino_loss: 0.72265625, depth_loss: 0.08362877368927002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0548547506332397, dino_loss: 0.71875, depth_loss: 0.06148660555481911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1920/10000 [2:52:46<25:07:47, 11.20s/it]
                                                         
{'loss': 1.8378, 'grad_norm': 2.568309783935547, 'learning_rate': 4.7293899136156184e-05, 'epoch': 0.02}

 19%|█▉        | 1920/10000 [2:52:46<25:07:47, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0097362995147705, dino_loss: 0.71875, depth_loss: 0.06521496176719666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0536651611328125, dino_loss: 0.76953125, depth_loss: 0.053976427763700485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1921/10000 [2:52:57<25:01:20, 11.15s/it]
                                                         
{'loss': 1.8355, 'grad_norm': 1.1579744815826416, 'learning_rate': 4.729015680428355e-05, 'epoch': 0.02}

 19%|█▉        | 1921/10000 [2:52:57<25:01:20, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0167313814163208, dino_loss: 0.71484375, depth_loss: 0.06593732535839081, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9664909243583679, dino_loss: 0.69140625, depth_loss: 0.06633319705724716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1922/10000 [2:53:08<24:44:58, 11.03s/it]
                                                         
{'loss': 1.7609, 'grad_norm': 1.0003058910369873, 'learning_rate': 4.728641203479287e-05, 'epoch': 0.02}

 19%|█▉        | 1922/10000 [2:53:08<24:44:58, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9596825838088989, dino_loss: 0.703125, depth_loss: 0.06593524664640427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9555838704109192, dino_loss: 0.69140625, depth_loss: 0.062292635440826416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1923/10000 [2:53:19<24:42:55, 11.02s/it]
                                                         
{'loss': 1.7191, 'grad_norm': 2.0153815746307373, 'learning_rate': 4.7282664828093686e-05, 'epoch': 0.02}

 19%|█▉        | 1923/10000 [2:53:19<24:42:55, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0088400840759277, dino_loss: 0.7109375, depth_loss: 0.07058519124984741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0394947528839111, dino_loss: 0.69921875, depth_loss: 0.06256978213787079, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1924/10000 [2:53:31<25:08:32, 11.21s/it]
                                                         
{'loss': 1.7959, 'grad_norm': 1.0943570137023926, 'learning_rate': 4.7278915184595774e-05, 'epoch': 0.02}

 19%|█▉        | 1924/10000 [2:53:31<25:08:32, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0941896438598633, dino_loss: 0.78125, depth_loss: 0.06264568865299225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9559136033058167, dino_loss: 0.69140625, depth_loss: 0.07210037112236023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1925/10000 [2:53:42<25:06:01, 11.19s/it]
                                                         
{'loss': 1.8288, 'grad_norm': 1.6851940155029297, 'learning_rate': 4.72751631047092e-05, 'epoch': 0.02}

 19%|█▉        | 1925/10000 [2:53:42<25:06:01, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.3113691806793213, dino_loss: 0.76171875, depth_loss: 0.07703648507595062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.028658151626587, dino_loss: 0.6875, depth_loss: 0.06165383383631706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1926/10000 [2:53:52<24:41:43, 11.01s/it]
                                                         
{'loss': 1.964, 'grad_norm': 2.057771921157837, 'learning_rate': 4.727140858884427e-05, 'epoch': 0.02}

 19%|█▉        | 1926/10000 [2:53:52<24:41:43, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.033160924911499, dino_loss: 0.703125, depth_loss: 0.04288850724697113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1227271556854248, dino_loss: 0.73046875, depth_loss: 0.07284026592969894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1927/10000 [2:54:03<24:33:17, 10.95s/it]
                                                         
{'loss': 1.8527, 'grad_norm': 1.4990499019622803, 'learning_rate': 4.726765163741159e-05, 'epoch': 0.02}

 19%|█▉        | 1927/10000 [2:54:03<24:33:17, 10.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.989363431930542, dino_loss: 0.68359375, depth_loss: 0.07492835074663162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8372586369514465, dino_loss: 0.67578125, depth_loss: 0.05608738213777542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1928/10000 [2:54:15<25:01:00, 11.16s/it]
                                                         
{'loss': 1.6586, 'grad_norm': 1.3713092803955078, 'learning_rate': 4.7263892250822e-05, 'epoch': 0.02}

 19%|█▉        | 1928/10000 [2:54:15<25:01:00, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9968881011009216, dino_loss: 0.73828125, depth_loss: 0.06621089577674866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9748635292053223, dino_loss: 0.71875, depth_loss: 0.07306727021932602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1929/10000 [2:54:27<25:26:24, 11.35s/it]
                                                         
{'loss': 1.7841, 'grad_norm': 0.8301932215690613, 'learning_rate': 4.7260130429486627e-05, 'epoch': 0.02}

 19%|█▉        | 1929/10000 [2:54:27<25:26:24, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9293111562728882, dino_loss: 0.7109375, depth_loss: 0.0730791687965393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9625304937362671, dino_loss: 0.65625, depth_loss: 0.06602984666824341, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1930/10000 [2:54:38<25:22:31, 11.32s/it]
                                                         
{'loss': 1.6991, 'grad_norm': 1.2117825746536255, 'learning_rate': 4.725636617381686e-05, 'epoch': 0.02}

 19%|█▉        | 1930/10000 [2:54:38<25:22:31, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9948816895484924, dino_loss: 0.69921875, depth_loss: 0.062284622341394424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.010993480682373, dino_loss: 0.69921875, depth_loss: 0.05776891112327576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1931/10000 [2:54:49<25:15:42, 11.27s/it]
                                                         
{'loss': 1.7622, 'grad_norm': 1.321224331855774, 'learning_rate': 4.725259948422435e-05, 'epoch': 0.02}

 19%|█▉        | 1931/10000 [2:54:49<25:15:42, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0396355390548706, dino_loss: 0.73828125, depth_loss: 0.08079589158296585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8734399080276489, dino_loss: 0.73828125, depth_loss: 0.08450700342655182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1932/10000 [2:55:00<25:08:01, 11.21s/it]
                                                         
{'loss': 1.7775, 'grad_norm': 1.749241828918457, 'learning_rate': 4.7248830361121014e-05, 'epoch': 0.02}

 19%|█▉        | 1932/10000 [2:55:00<25:08:01, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9834740161895752, dino_loss: 0.70703125, depth_loss: 0.05188173055648804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0876522064208984, dino_loss: 0.74609375, depth_loss: 0.06769143790006638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1933/10000 [2:55:11<24:55:51, 11.13s/it]
                                                         
{'loss': 1.822, 'grad_norm': 1.7020156383514404, 'learning_rate': 4.724505880491904e-05, 'epoch': 0.02}

 19%|█▉        | 1933/10000 [2:55:11<24:55:51, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9554468989372253, dino_loss: 0.71484375, depth_loss: 0.06459932774305344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9012017846107483, dino_loss: 0.66796875, depth_loss: 0.06741854548454285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1934/10000 [2:55:22<24:48:34, 11.07s/it]
                                                         
{'loss': 1.6858, 'grad_norm': 0.9136528372764587, 'learning_rate': 4.7241284816030885e-05, 'epoch': 0.02}

 19%|█▉        | 1934/10000 [2:55:22<24:48:34, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9280905723571777, dino_loss: 0.69140625, depth_loss: 0.06688011437654495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0022895336151123, dino_loss: 0.76171875, depth_loss: 0.07026947289705276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1935/10000 [2:55:33<24:57:11, 11.14s/it]
                                                         
{'loss': 1.7604, 'grad_norm': 2.4850454330444336, 'learning_rate': 4.723750839486926e-05, 'epoch': 0.02}

 19%|█▉        | 1935/10000 [2:55:33<24:57:11, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0926185846328735, dino_loss: 0.74609375, depth_loss: 0.0899718701839447, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9847474098205566, dino_loss: 0.75390625, depth_loss: 0.08315397799015045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1936/10000 [2:55:44<24:41:20, 11.02s/it]
                                                         
{'loss': 1.8753, 'grad_norm': 1.2753173112869263, 'learning_rate': 4.7233729541847147e-05, 'epoch': 0.02}

 19%|█▉        | 1936/10000 [2:55:44<24:41:20, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0085575580596924, dino_loss: 0.67578125, depth_loss: 0.05567752569913864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.022896647453308, dino_loss: 0.73046875, depth_loss: 0.05871419981122017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1937/10000 [2:55:55<24:45:19, 11.05s/it]
                                                         
{'loss': 1.7761, 'grad_norm': 1.5836960077285767, 'learning_rate': 4.72299482573778e-05, 'epoch': 0.02}

 19%|█▉        | 1937/10000 [2:55:55<24:45:19, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0392154455184937, dino_loss: 0.765625, depth_loss: 0.07552255690097809, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.108062744140625, dino_loss: 0.6953125, depth_loss: 0.0719577893614769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1938/10000 [2:56:06<24:39:15, 11.01s/it]
                                                         
{'loss': 1.8779, 'grad_norm': 1.4738447666168213, 'learning_rate': 4.722616454187474e-05, 'epoch': 0.02}

 19%|█▉        | 1938/10000 [2:56:06<24:39:15, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9183369874954224, dino_loss: 0.6796875, depth_loss: 0.0636821985244751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 1
seg_loss: 0.8468305468559265, dino_loss: 0.7421875, depth_loss: 0.07985667884349823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1939/10000 [2:56:17<24:53:49, 11.12s/it]
                                                         
{'loss': 1.6653, 'grad_norm': 1.0590041875839233, 'learning_rate': 4.722237839575174e-05, 'epoch': 0.02}

 19%|█▉        | 1939/10000 [2:56:17<24:53:49, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.06162428855896, dino_loss: 0.79296875, depth_loss: 0.06851239502429962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0223567485809326, dino_loss: 0.7109375, depth_loss: 0.06939621269702911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1940/10000 [2:56:29<25:03:18, 11.19s/it]
                                                         
{'loss': 1.863, 'grad_norm': 1.6688333749771118, 'learning_rate': 4.721858981942284e-05, 'epoch': 0.02}

 19%|█▉        | 1940/10000 [2:56:29<25:03:18, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9807308316230774, dino_loss: 0.75, depth_loss: 0.07174723595380783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9851171970367432, dino_loss: 0.76171875, depth_loss: 0.06773983687162399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1941/10000 [2:56:40<25:00:44, 11.17s/it]
                                                         
{'loss': 1.8086, 'grad_norm': 1.28078031539917, 'learning_rate': 4.7214798813302376e-05, 'epoch': 0.02}

 19%|█▉        | 1941/10000 [2:56:40<25:00:44, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.965791642665863, dino_loss: 0.6796875, depth_loss: 0.08467060327529907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9899312257766724, dino_loss: 0.6640625, depth_loss: 0.07715197652578354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1942/10000 [2:56:51<24:51:11, 11.10s/it]
                                                         
{'loss': 1.7307, 'grad_norm': 1.3899922370910645, 'learning_rate': 4.7211005377804904e-05, 'epoch': 0.02}

 19%|█▉        | 1942/10000 [2:56:51<24:51:11, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9017146229743958, dino_loss: 0.734375, depth_loss: 0.06163879111409187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0753059387207031, dino_loss: 0.73828125, depth_loss: 0.0657493844628334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1943/10000 [2:57:02<24:54:33, 11.13s/it]
                                                         
{'loss': 1.7886, 'grad_norm': 1.3408582210540771, 'learning_rate': 4.720720951334528e-05, 'epoch': 0.02}

 19%|█▉        | 1943/10000 [2:57:02<24:54:33, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0664303302764893, dino_loss: 0.7265625, depth_loss: 0.05791914835572243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9768625497817993, dino_loss: 0.69140625, depth_loss: 0.07432419061660767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1944/10000 [2:57:13<24:33:42, 10.98s/it]
                                                         
{'loss': 1.7968, 'grad_norm': 1.6098254919052124, 'learning_rate': 4.720341122033862e-05, 'epoch': 0.02}

 19%|█▉        | 1944/10000 [2:57:13<24:33:42, 10.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 1.1567492485046387, dino_loss: 0.75, depth_loss: 0.07821395993232727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1024649143218994, dino_loss: 0.74609375, depth_loss: 0.061699796468019485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1945/10000 [2:57:24<24:47:29, 11.08s/it]
                                                         
{'loss': 1.9477, 'grad_norm': 4.081319808959961, 'learning_rate': 4.719961049920027e-05, 'epoch': 0.02}

 19%|█▉        | 1945/10000 [2:57:24<24:47:29, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8934880495071411, dino_loss: 0.6875, depth_loss: 0.062495406717061996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0132668018341064, dino_loss: 0.734375, depth_loss: 0.07137826085090637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1946/10000 [2:57:35<24:58:43, 11.17s/it]
                                                         
{'loss': 1.7313, 'grad_norm': 2.731729507446289, 'learning_rate': 4.719580735034592e-05, 'epoch': 0.02}

 19%|█▉        | 1946/10000 [2:57:35<24:58:43, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0207314491271973, dino_loss: 0.6953125, depth_loss: 0.06315020471811295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.05475652217865, dino_loss: 0.71875, depth_loss: 0.06383439153432846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1947/10000 [2:57:46<24:44:10, 11.06s/it]
                                                         
{'loss': 1.8083, 'grad_norm': 1.1532678604125977, 'learning_rate': 4.719200177419143e-05, 'epoch': 0.02}

 19%|█▉        | 1947/10000 [2:57:46<24:44:10, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9243939518928528, dino_loss: 0.64453125, depth_loss: 0.062275223433971405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0081031322479248, dino_loss: 0.671875, depth_loss: 0.07135855406522751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1948/10000 [2:57:58<25:03:12, 11.20s/it]
                                                         
{'loss': 1.6913, 'grad_norm': 1.0959571599960327, 'learning_rate': 4.7188193771153e-05, 'epoch': 0.02}

 19%|█▉        | 1948/10000 [2:57:58<25:03:12, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9133124351501465, dino_loss: 0.71875, depth_loss: 0.05875368416309357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9361802935600281, dino_loss: 0.734375, depth_loss: 0.07391458004713058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 19%|█▉        | 1949/10000 [2:58:09<25:13:40, 11.28s/it]
                                                         
{'loss': 1.7177, 'grad_norm': 1.6646416187286377, 'learning_rate': 4.7184383341647055e-05, 'epoch': 0.02}

 19%|█▉        | 1949/10000 [2:58:09<25:13:40, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9357047080993652, dino_loss: 0.80859375, depth_loss: 0.06728716939687729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0431913137435913, dino_loss: 0.69140625, depth_loss: 0.05385419726371765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1950/10000 [2:58:20<25:02:15, 11.20s/it]
                                                         
{'loss': 1.8023, 'grad_norm': 1.210663080215454, 'learning_rate': 4.71805704860903e-05, 'epoch': 0.02}

 20%|█▉        | 1950/10000 [2:58:20<25:02:15, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.959155797958374, dino_loss: 0.7265625, depth_loss: 0.060450874269008636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.002228021621704, dino_loss: 0.765625, depth_loss: 0.0697283148765564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1951/10000 [2:58:31<25:02:47, 11.20s/it]
                                                         
{'loss': 1.792, 'grad_norm': 1.1513780355453491, 'learning_rate': 4.7176755204899705e-05, 'epoch': 0.02}

 20%|█▉        | 1951/10000 [2:58:31<25:02:47, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9468756914138794, dino_loss: 0.7109375, depth_loss: 0.07603218406438828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9682292938232422, dino_loss: 0.65625, depth_loss: 0.05877748131752014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1952/10000 [2:58:43<25:11:07, 11.27s/it]
                                                         
{'loss': 1.7087, 'grad_norm': 1.1846307516098022, 'learning_rate': 4.71729374984925e-05, 'epoch': 0.02}

 20%|█▉        | 1952/10000 [2:58:43<25:11:07, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0193783044815063, dino_loss: 0.6796875, depth_loss: 0.06223304569721222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0906089544296265, dino_loss: 0.66796875, depth_loss: 0.08364193141460419, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1953/10000 [2:58:54<24:54:34, 11.14s/it]
                                                         
{'loss': 1.8018, 'grad_norm': 3.0145461559295654, 'learning_rate': 4.71691173672862e-05, 'epoch': 0.02}

 20%|█▉        | 1953/10000 [2:58:54<24:54:34, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1158016920089722, dino_loss: 0.76171875, depth_loss: 0.048785097897052765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.120301604270935, dino_loss: 0.72265625, depth_loss: 0.07454518228769302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1954/10000 [2:59:05<24:53:57, 11.14s/it]
                                                         
{'loss': 1.922, 'grad_norm': 1.1263823509216309, 'learning_rate': 4.716529481169854e-05, 'epoch': 0.02}

 20%|█▉        | 1954/10000 [2:59:05<24:53:57, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9851484298706055, dino_loss: 0.71875, depth_loss: 0.061696022748947144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.940703272819519, dino_loss: 0.69921875, depth_loss: 0.08384735882282257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1955/10000 [2:59:16<25:06:09, 11.23s/it]
                                                         
{'loss': 1.7447, 'grad_norm': 1.768072485923767, 'learning_rate': 4.716146983214757e-05, 'epoch': 0.02}

 20%|█▉        | 1955/10000 [2:59:16<25:06:09, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0929126739501953, dino_loss: 0.6953125, depth_loss: 0.06211207062005997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.9195006489753723, dino_loss: 0.73046875, depth_loss: 0.053168926388025284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1956/10000 [2:59:28<25:09:14, 11.26s/it]
                                                         
{'loss': 1.7768, 'grad_norm': 1.4011521339416504, 'learning_rate': 4.715764242905158e-05, 'epoch': 0.02}

 20%|█▉        | 1956/10000 [2:59:28<25:09:14, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9397749900817871, dino_loss: 0.70703125, depth_loss: 0.07388508319854736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0972336530685425, dino_loss: 0.70703125, depth_loss: 0.05043967440724373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1957/10000 [2:59:39<24:59:17, 11.18s/it]
                                                         
{'loss': 1.7878, 'grad_norm': 2.9728055000305176, 'learning_rate': 4.715381260282913e-05, 'epoch': 0.02}

 20%|█▉        | 1957/10000 [2:59:39<24:59:17, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 1.3534832000732422, dino_loss: 0.734375, depth_loss: 0.06151735782623291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9813621044158936, dino_loss: 0.76171875, depth_loss: 0.06835082918405533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1958/10000 [2:59:50<25:24:19, 11.37s/it]
                                                         
{'loss': 1.9805, 'grad_norm': 2.5514392852783203, 'learning_rate': 4.714998035389904e-05, 'epoch': 0.02}

 20%|█▉        | 1958/10000 [2:59:50<25:24:19, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0556871891021729, dino_loss: 0.73828125, depth_loss: 0.069922536611557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9036090970039368, dino_loss: 0.6640625, depth_loss: 0.051348552107810974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1959/10000 [3:00:02<25:15:53, 11.31s/it]
                                                         
{'loss': 1.7415, 'grad_norm': 1.9937174320220947, 'learning_rate': 4.7146145682680396e-05, 'epoch': 0.02}

 20%|█▉        | 1959/10000 [3:00:02<25:15:53, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9842355251312256, dino_loss: 0.65625, depth_loss: 0.07137218117713928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9269515872001648, dino_loss: 0.65234375, depth_loss: 0.049999840557575226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1960/10000 [3:00:13<25:20:17, 11.35s/it]
                                                         
{'loss': 1.6706, 'grad_norm': 1.1720342636108398, 'learning_rate': 4.7142308589592556e-05, 'epoch': 0.02}

 20%|█▉        | 1960/10000 [3:00:13<25:20:17, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.893707275390625, dino_loss: 0.6875, depth_loss: 0.07044906169176102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0196533203125, dino_loss: 0.71875, depth_loss: 0.06400895118713379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1961/10000 [3:00:24<25:15:33, 11.31s/it]
                                                         
{'loss': 1.7271, 'grad_norm': 1.289574146270752, 'learning_rate': 4.713846907505514e-05, 'epoch': 0.02}

 20%|█▉        | 1961/10000 [3:00:24<25:15:33, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0440107583999634, dino_loss: 0.6875, depth_loss: 0.05182972550392151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.8789699673652649, dino_loss: 0.70703125, depth_loss: 0.06345308572053909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1962/10000 [3:00:36<25:29:53, 11.42s/it]
                                                         
{'loss': 1.7164, 'grad_norm': 1.125266671180725, 'learning_rate': 4.713462713948804e-05, 'epoch': 0.02}

 20%|█▉        | 1962/10000 [3:00:36<25:29:53, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9178592562675476, dino_loss: 0.74609375, depth_loss: 0.06007285416126251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9825258255004883, dino_loss: 0.6640625, depth_loss: 0.05585884302854538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1963/10000 [3:00:47<25:20:41, 11.35s/it]
                                                         
{'loss': 1.7133, 'grad_norm': 1.4566586017608643, 'learning_rate': 4.713078278331138e-05, 'epoch': 0.02}

 20%|█▉        | 1963/10000 [3:00:47<25:20:41, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1392202377319336, dino_loss: 0.7265625, depth_loss: 0.09500543773174286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9385861158370972, dino_loss: 0.7109375, depth_loss: 0.07573340833187103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1964/10000 [3:00:58<25:01:40, 11.21s/it]
                                                         
{'loss': 1.8431, 'grad_norm': 1.4664883613586426, 'learning_rate': 4.71269360069456e-05, 'epoch': 0.02}

 20%|█▉        | 1964/10000 [3:00:58<25:01:40, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1293365955352783, dino_loss: 0.7578125, depth_loss: 0.0884842723608017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9024490118026733, dino_loss: 0.6640625, depth_loss: 0.06126599758863449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1965/10000 [3:01:09<24:56:22, 11.17s/it]
                                                         
{'loss': 1.8017, 'grad_norm': 1.537471890449524, 'learning_rate': 4.7123086810811356e-05, 'epoch': 0.02}

 20%|█▉        | 1965/10000 [3:01:09<24:56:22, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9077177047729492, dino_loss: 0.66796875, depth_loss: 0.058639101684093475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9560483694076538, dino_loss: 0.6953125, depth_loss: 0.05408218130469322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1966/10000 [3:01:20<24:51:33, 11.14s/it]
                                                         
{'loss': 1.6699, 'grad_norm': 1.2928153276443481, 'learning_rate': 4.711923519532961e-05, 'epoch': 0.02}

 20%|█▉        | 1966/10000 [3:01:20<24:51:33, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.044670820236206, dino_loss: 0.73828125, depth_loss: 0.07713739573955536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8476250767707825, dino_loss: 0.703125, depth_loss: 0.06125635281205177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1967/10000 [3:01:31<24:51:40, 11.14s/it]
                                                         
{'loss': 1.7361, 'grad_norm': 0.9362931251525879, 'learning_rate': 4.7115381160921556e-05, 'epoch': 0.02}

 20%|█▉        | 1967/10000 [3:01:31<24:51:40, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0511279106140137, dino_loss: 0.7265625, depth_loss: 0.07515794038772583, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0148615837097168, dino_loss: 0.73828125, depth_loss: 0.07377021014690399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1968/10000 [3:01:42<24:32:28, 11.00s/it]
                                                         
{'loss': 1.8399, 'grad_norm': 2.310028314590454, 'learning_rate': 4.711152470800867e-05, 'epoch': 0.02}

 20%|█▉        | 1968/10000 [3:01:42<24:32:28, 11.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9097499251365662, dino_loss: 0.65234375, depth_loss: 0.05341462045907974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0760458707809448, dino_loss: 0.69140625, depth_loss: 0.05421241372823715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1969/10000 [3:01:54<25:15:04, 11.32s/it]
                                                         
{'loss': 1.7186, 'grad_norm': 1.6124167442321777, 'learning_rate': 4.710766583701267e-05, 'epoch': 0.02}

 20%|█▉        | 1969/10000 [3:01:54<25:15:04, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0148788690567017, dino_loss: 0.71484375, depth_loss: 0.06436019390821457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0549845695495605, dino_loss: 0.75390625, depth_loss: 0.06206583231687546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1970/10000 [3:02:05<24:49:37, 11.13s/it]
                                                         
{'loss': 1.8326, 'grad_norm': 1.1458983421325684, 'learning_rate': 4.710380454835559e-05, 'epoch': 0.02}

 20%|█▉        | 1970/10000 [3:02:05<24:49:37, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.053120732307434, dino_loss: 0.73046875, depth_loss: 0.06126165762543678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0198434591293335, dino_loss: 0.72265625, depth_loss: 0.06408952176570892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1971/10000 [3:02:16<25:12:38, 11.30s/it]
                                                         
{'loss': 1.8258, 'grad_norm': 1.2335609197616577, 'learning_rate': 4.709994084245967e-05, 'epoch': 0.02}

 20%|█▉        | 1971/10000 [3:02:16<25:12:38, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.971668004989624, dino_loss: 0.6875, depth_loss: 0.0941963642835617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8432013392448425, dino_loss: 0.6875, depth_loss: 0.07806786894798279, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1972/10000 [3:02:27<24:49:56, 11.14s/it]
                                                         
{'loss': 1.6811, 'grad_norm': 2.0945217609405518, 'learning_rate': 4.709607471974745e-05, 'epoch': 0.02}

 20%|█▉        | 1972/10000 [3:02:27<24:49:56, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0456242561340332, dino_loss: 0.70703125, depth_loss: 0.0661095529794693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.8039363026618958, dino_loss: 0.671875, depth_loss: 0.055820904672145844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1973/10000 [3:02:39<25:07:57, 11.27s/it]
                                                         
{'loss': 1.6753, 'grad_norm': 1.5925264358520508, 'learning_rate': 4.7092206180641715e-05, 'epoch': 0.02}

 20%|█▉        | 1973/10000 [3:02:39<25:07:57, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9077787399291992, dino_loss: 0.6953125, depth_loss: 0.05091716721653938, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9849384427070618, dino_loss: 0.69140625, depth_loss: 0.05266678333282471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1974/10000 [3:02:50<25:08:00, 11.27s/it]
                                                         
{'loss': 1.6916, 'grad_norm': 1.837701678276062, 'learning_rate': 4.7088335225565535e-05, 'epoch': 0.02}

 20%|█▉        | 1974/10000 [3:02:50<25:08:00, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0862128734588623, dino_loss: 0.69140625, depth_loss: 0.06757280230522156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0439385175704956, dino_loss: 0.75, depth_loss: 0.08088911324739456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1975/10000 [3:03:01<25:03:42, 11.24s/it]
                                                         
{'loss': 1.8601, 'grad_norm': 2.9025893211364746, 'learning_rate': 4.708446185494222e-05, 'epoch': 0.02}

 20%|█▉        | 1975/10000 [3:03:01<25:03:42, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9550045132637024, dino_loss: 0.7265625, depth_loss: 0.05931028351187706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.040330410003662, dino_loss: 0.6796875, depth_loss: 0.07228725403547287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1976/10000 [3:03:12<25:07:07, 11.27s/it]
                                                         
{'loss': 1.7667, 'grad_norm': 1.288460373878479, 'learning_rate': 4.7080586069195354e-05, 'epoch': 0.02}

 20%|█▉        | 1976/10000 [3:03:12<25:07:07, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9174982309341431, dino_loss: 0.72265625, depth_loss: 0.06555119901895523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8675488233566284, dino_loss: 0.64453125, depth_loss: 0.05351950600743294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1977/10000 [3:03:25<25:40:24, 11.52s/it]
                                                         
{'loss': 1.6357, 'grad_norm': 2.161412239074707, 'learning_rate': 4.707670786874881e-05, 'epoch': 0.02}

 20%|█▉        | 1977/10000 [3:03:25<25:40:24, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0437980890274048, dino_loss: 0.71484375, depth_loss: 0.08288459479808807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.9975929260253906, dino_loss: 0.73046875, depth_loss: 0.07578359544277191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1978/10000 [3:03:35<24:51:49, 11.16s/it]
                                                         
{'loss': 1.8227, 'grad_norm': 1.5766348838806152, 'learning_rate': 4.7072827254026666e-05, 'epoch': 0.02}

 20%|█▉        | 1978/10000 [3:03:35<24:51:49, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8811014890670776, dino_loss: 0.6796875, depth_loss: 0.05888183414936066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 6
seg_loss: 0.9575832486152649, dino_loss: 0.77734375, depth_loss: 0.07448974251747131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1979/10000 [3:03:46<24:45:31, 11.11s/it]
                                                         
{'loss': 1.7146, 'grad_norm': 2.0156702995300293, 'learning_rate': 4.706894422545333e-05, 'epoch': 0.02}

 20%|█▉        | 1979/10000 [3:03:46<24:45:31, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9660643339157104, dino_loss: 0.66015625, depth_loss: 0.06627587974071503, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0604084730148315, dino_loss: 0.69921875, depth_loss: 0.05521248281002045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1980/10000 [3:03:58<25:24:29, 11.41s/it]
                                                         
{'loss': 1.7537, 'grad_norm': 1.1456137895584106, 'learning_rate': 4.7065058783453424e-05, 'epoch': 0.02}

 20%|█▉        | 1980/10000 [3:03:58<25:24:29, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9737672805786133, dino_loss: 0.6484375, depth_loss: 0.07212197780609131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9560149908065796, dino_loss: 0.6171875, depth_loss: 0.04835653305053711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1981/10000 [3:04:09<25:13:12, 11.32s/it]
                                                         
{'loss': 1.658, 'grad_norm': 1.1138010025024414, 'learning_rate': 4.706117092845187e-05, 'epoch': 0.02}

 20%|█▉        | 1981/10000 [3:04:09<25:13:12, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0302273035049438, dino_loss: 0.69921875, depth_loss: 0.07151014357805252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9329656362533569, dino_loss: 0.67578125, depth_loss: 0.05184367299079895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1982/10000 [3:04:20<25:10:57, 11.31s/it]
                                                         
{'loss': 1.7308, 'grad_norm': 2.204423189163208, 'learning_rate': 4.7057280660873835e-05, 'epoch': 0.02}

 20%|█▉        | 1982/10000 [3:04:20<25:10:57, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0861835479736328, dino_loss: 0.73046875, depth_loss: 0.05070694535970688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.961182713508606, dino_loss: 0.65625, depth_loss: 0.052911482751369476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1983/10000 [3:04:31<24:56:07, 11.20s/it]
                                                         
{'loss': 1.7689, 'grad_norm': 1.3840837478637695, 'learning_rate': 4.705338798114475e-05, 'epoch': 0.02}

 20%|█▉        | 1983/10000 [3:04:31<24:56:07, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.985093891620636, dino_loss: 0.69140625, depth_loss: 0.07581785321235657, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0819212198257446, dino_loss: 0.6953125, depth_loss: 0.06932351738214493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1984/10000 [3:04:43<25:05:52, 11.27s/it]
                                                         
{'loss': 1.7995, 'grad_norm': 1.6691497564315796, 'learning_rate': 4.704949288969031e-05, 'epoch': 0.02}

 20%|█▉        | 1984/10000 [3:04:43<25:05:52, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9064573049545288, dino_loss: 0.65234375, depth_loss: 0.05015901103615761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.9653753042221069, dino_loss: 0.68359375, depth_loss: 0.06226716935634613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1985/10000 [3:04:55<25:39:11, 11.52s/it]
                                                         
{'loss': 1.6602, 'grad_norm': 1.5037338733673096, 'learning_rate': 4.704559538693647e-05, 'epoch': 0.02}

 20%|█▉        | 1985/10000 [3:04:55<25:39:11, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1742759943008423, dino_loss: 0.73046875, depth_loss: 0.05164370685815811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0207610130310059, dino_loss: 0.6796875, depth_loss: 0.06162647157907486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1986/10000 [3:05:06<25:13:27, 11.33s/it]
                                                         
{'loss': 1.8593, 'grad_norm': 1.5733495950698853, 'learning_rate': 4.7041695473309475e-05, 'epoch': 0.02}

 20%|█▉        | 1986/10000 [3:05:06<25:13:27, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0489192008972168, dino_loss: 0.765625, depth_loss: 0.06247421354055405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9804702997207642, dino_loss: 0.69921875, depth_loss: 0.056070853024721146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1987/10000 [3:05:17<25:21:06, 11.39s/it]
                                                         
{'loss': 1.8064, 'grad_norm': 2.037429094314575, 'learning_rate': 4.70377931492358e-05, 'epoch': 0.02}

 20%|█▉        | 1987/10000 [3:05:17<25:21:06, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0240319967269897, dino_loss: 0.72265625, depth_loss: 0.08148147910833359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9601917266845703, dino_loss: 0.7421875, depth_loss: 0.07911789417266846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1988/10000 [3:05:29<25:15:22, 11.35s/it]
                                                         
{'loss': 1.8049, 'grad_norm': 1.4983861446380615, 'learning_rate': 4.703388841514219e-05, 'epoch': 0.02}

 20%|█▉        | 1988/10000 [3:05:29<25:15:22, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9714065194129944, dino_loss: 0.74609375, depth_loss: 0.0960947722196579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.89585942029953, dino_loss: 0.73046875, depth_loss: 0.05391364544630051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1989/10000 [3:05:39<24:47:28, 11.14s/it]
                                                         
{'loss': 1.747, 'grad_norm': 1.423203945159912, 'learning_rate': 4.702998127145568e-05, 'epoch': 0.02}

 20%|█▉        | 1989/10000 [3:05:39<24:47:28, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9791462421417236, dino_loss: 0.6484375, depth_loss: 0.05778849124908447, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9203366637229919, dino_loss: 0.66015625, depth_loss: 0.06570056825876236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1990/10000 [3:05:51<25:15:42, 11.35s/it]
                                                         
{'loss': 1.6658, 'grad_norm': 1.5918467044830322, 'learning_rate': 4.7026071718603536e-05, 'epoch': 0.02}

 20%|█▉        | 1990/10000 [3:05:51<25:15:42, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.956632673740387, dino_loss: 0.6875, depth_loss: 0.050692472606897354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9393464922904968, dino_loss: 0.6953125, depth_loss: 0.07027442753314972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1991/10000 [3:06:02<24:56:56, 11.21s/it]
                                                         
{'loss': 1.6999, 'grad_norm': 1.807916522026062, 'learning_rate': 4.7022159757013314e-05, 'epoch': 0.02}

 20%|█▉        | 1991/10000 [3:06:02<24:56:56, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9904184341430664, dino_loss: 0.66015625, depth_loss: 0.06229536980390549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8597284555435181, dino_loss: 0.6484375, depth_loss: 0.04838063567876816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1992/10000 [3:06:13<25:03:51, 11.27s/it]
                                                         
{'loss': 1.6348, 'grad_norm': 1.566667914390564, 'learning_rate': 4.70182453871128e-05, 'epoch': 0.02}

 20%|█▉        | 1992/10000 [3:06:13<25:03:51, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.9688245058059692, dino_loss: 0.73046875, depth_loss: 0.06356227397918701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9646979570388794, dino_loss: 0.71484375, depth_loss: 0.06895986199378967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1993/10000 [3:06:25<25:02:52, 11.26s/it]
                                                         
{'loss': 1.7557, 'grad_norm': 1.9964667558670044, 'learning_rate': 4.7014328609330076e-05, 'epoch': 0.02}

 20%|█▉        | 1993/10000 [3:06:25<25:02:52, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9726264476776123, dino_loss: 0.6796875, depth_loss: 0.059872522950172424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0754175186157227, dino_loss: 0.7265625, depth_loss: 0.07943256199359894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1994/10000 [3:06:35<24:45:16, 11.13s/it]
                                                         
{'loss': 1.7968, 'grad_norm': 1.7289563417434692, 'learning_rate': 4.701040942409348e-05, 'epoch': 0.02}

 20%|█▉        | 1994/10000 [3:06:35<24:45:16, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.110374093055725, dino_loss: 0.73828125, depth_loss: 0.0708627849817276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.005407691001892, dino_loss: 0.7265625, depth_loss: 0.0714554563164711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1995/10000 [3:06:46<24:36:43, 11.07s/it]
                                                         
{'loss': 1.8615, 'grad_norm': 1.849856972694397, 'learning_rate': 4.700648783183159e-05, 'epoch': 0.02}

 20%|█▉        | 1995/10000 [3:06:46<24:36:43, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9532402753829956, dino_loss: 0.73828125, depth_loss: 0.060507260262966156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9684283137321472, dino_loss: 0.6796875, depth_loss: 0.06212228909134865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1996/10000 [3:06:58<24:42:29, 11.11s/it]
                                                         
{'loss': 1.7312, 'grad_norm': 0.9449866414070129, 'learning_rate': 4.700256383297329e-05, 'epoch': 0.02}

 20%|█▉        | 1996/10000 [3:06:58<24:42:29, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 1.2016781568527222, dino_loss: 0.734375, depth_loss: 0.09726748615503311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052948236465454, dino_loss: 0.70703125, depth_loss: 0.06946191191673279, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1997/10000 [3:07:09<25:08:48, 11.31s/it]
                                                         
{'loss': 1.9314, 'grad_norm': 1.247435212135315, 'learning_rate': 4.699863742794768e-05, 'epoch': 0.02}

 20%|█▉        | 1997/10000 [3:07:09<25:08:48, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8972398042678833, dino_loss: 0.66015625, depth_loss: 0.0574357695877552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9769343137741089, dino_loss: 0.73046875, depth_loss: 0.06198062747716904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1998/10000 [3:07:21<25:05:56, 11.29s/it]
                                                         
{'loss': 1.6922, 'grad_norm': 2.6913833618164062, 'learning_rate': 4.6994708617184155e-05, 'epoch': 0.02}

 20%|█▉        | 1998/10000 [3:07:21<25:05:56, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9643548727035522, dino_loss: 0.73046875, depth_loss: 0.07682421058416367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9656078219413757, dino_loss: 0.68359375, depth_loss: 0.06601009517908096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|█▉        | 1999/10000 [3:07:32<24:56:11, 11.22s/it]
                                                         
{'loss': 1.7435, 'grad_norm': 1.8059782981872559, 'learning_rate': 4.699077740111237e-05, 'epoch': 0.02}

 20%|█▉        | 1999/10000 [3:07:32<24:56:11, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9870256781578064, dino_loss: 0.73828125, depth_loss: 0.06535954773426056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0553247928619385, dino_loss: 0.70703125, depth_loss: 0.08240146934986115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2000/10000 [3:07:43<24:58:26, 11.24s/it]
                                                         
{'loss': 1.8178, 'grad_norm': 1.8075207471847534, 'learning_rate': 4.698684378016222e-05, 'epoch': 0.02}

 20%|██        | 2000/10000 [3:07:43<24:58:26, 11.24s/it]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
/root/miniconda3/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
  warnings.warn(  # warn only once
/root/miniconda3/lib/python3.12/site-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0524616241455078, dino_loss: 0.734375, depth_loss: 0.06670046597719193, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9931806921958923, dino_loss: 0.73046875, depth_loss: 0.07478486746549606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2001/10000 [3:09:12<76:50:34, 34.58s/it]
                                                         
{'loss': 1.826, 'grad_norm': 2.804123640060425, 'learning_rate': 4.6982907754763906e-05, 'epoch': 0.02}

 20%|██        | 2001/10000 [3:09:12<76:50:34, 34.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0718169212341309, dino_loss: 0.76953125, depth_loss: 0.05876832455396652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8973954916000366, dino_loss: 0.65234375, depth_loss: 0.05374496802687645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2002/10000 [3:09:24<61:33:47, 27.71s/it]
                                                         
{'loss': 1.7519, 'grad_norm': 2.5402069091796875, 'learning_rate': 4.697896932534784e-05, 'epoch': 0.02}

 20%|██        | 2002/10000 [3:09:24<61:33:47, 27.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.015742540359497, dino_loss: 0.7265625, depth_loss: 0.04951587691903114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9591420292854309, dino_loss: 0.70703125, depth_loss: 0.06046276167035103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2003/10000 [3:09:35<50:41:07, 22.82s/it]
                                                         
{'loss': 1.7593, 'grad_norm': 2.0269501209259033, 'learning_rate': 4.6975028492344745e-05, 'epoch': 0.02}

 20%|██        | 2003/10000 [3:09:35<50:41:07, 22.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0005104541778564, dino_loss: 0.671875, depth_loss: 0.060851506888866425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0057082176208496, dino_loss: 0.70703125, depth_loss: 0.06392823159694672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2004/10000 [3:09:46<42:45:47, 19.25s/it]
                                                         
{'loss': 1.755, 'grad_norm': 2.5007810592651367, 'learning_rate': 4.697108525618556e-05, 'epoch': 0.02}

 20%|██        | 2004/10000 [3:09:46<42:45:47, 19.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0050889253616333, dino_loss: 0.75390625, depth_loss: 0.05655664950609207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9437487721443176, dino_loss: 0.75, depth_loss: 0.08869635313749313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2005/10000 [3:09:57<37:25:45, 16.85s/it]
                                                         
{'loss': 1.799, 'grad_norm': 1.3249776363372803, 'learning_rate': 4.696713961730154e-05, 'epoch': 0.02}

 20%|██        | 2005/10000 [3:09:57<37:25:45, 16.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0674643516540527, dino_loss: 0.75, depth_loss: 0.07306218892335892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9406269788742065, dino_loss: 0.71484375, depth_loss: 0.08071684837341309, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2006/10000 [3:10:08<33:19:26, 15.01s/it]
                                                         
{'loss': 1.8134, 'grad_norm': 1.4541486501693726, 'learning_rate': 4.696319157612414e-05, 'epoch': 0.02}

 20%|██        | 2006/10000 [3:10:08<33:19:26, 15.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1070414781570435, dino_loss: 0.71875, depth_loss: 0.08059915155172348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0255004167556763, dino_loss: 0.69921875, depth_loss: 0.07617618143558502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2007/10000 [3:10:19<30:34:49, 13.77s/it]
                                                         
{'loss': 1.8537, 'grad_norm': 1.1957463026046753, 'learning_rate': 4.695924113308514e-05, 'epoch': 0.02}

 20%|██        | 2007/10000 [3:10:19<30:34:49, 13.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9233000874519348, dino_loss: 0.6875, depth_loss: 0.06034994497895241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.038710355758667, dino_loss: 0.73046875, depth_loss: 0.05846622586250305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2008/10000 [3:10:30<29:01:50, 13.08s/it]
                                                         
{'loss': 1.7495, 'grad_norm': 1.0813088417053223, 'learning_rate': 4.695528828861655e-05, 'epoch': 0.02}

 20%|██        | 2008/10000 [3:10:30<29:01:50, 13.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0481548309326172, dino_loss: 0.71484375, depth_loss: 0.06955123692750931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 1
the number of masks: 8
the number of masks: 8
seg_loss: 1.1808292865753174, dino_loss: 0.703125, depth_loss: 0.07570680975914001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2009/10000 [3:10:41<27:36:13, 12.44s/it]
                                                         
{'loss': 1.8962, 'grad_norm': 3.56712007522583, 'learning_rate': 4.695133304315064e-05, 'epoch': 0.02}

 20%|██        | 2009/10000 [3:10:41<27:36:13, 12.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9894166588783264, dino_loss: 0.734375, depth_loss: 0.06969195604324341, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.138895869255066, dino_loss: 0.77734375, depth_loss: 0.07803953438997269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2010/10000 [3:10:52<26:40:28, 12.02s/it]
                                                         
{'loss': 1.8939, 'grad_norm': 2.173736095428467, 'learning_rate': 4.694737539711994e-05, 'epoch': 0.02}

 20%|██        | 2010/10000 [3:10:52<26:40:28, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9063224792480469, dino_loss: 0.65234375, depth_loss: 0.05671660602092743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1257483959197998, dino_loss: 0.71875, depth_loss: 0.05174025520682335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2011/10000 [3:11:03<26:00:39, 11.72s/it]
                                                         
{'loss': 1.7559, 'grad_norm': 1.3032269477844238, 'learning_rate': 4.6943415350957276e-05, 'epoch': 0.02}

 20%|██        | 2011/10000 [3:11:03<26:00:39, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9698339104652405, dino_loss: 0.703125, depth_loss: 0.06428909301757812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8698137402534485, dino_loss: 0.72265625, depth_loss: 0.059782493859529495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2012/10000 [3:11:15<25:41:37, 11.58s/it]
                                                         
{'loss': 1.6948, 'grad_norm': 1.362119197845459, 'learning_rate': 4.6939452905095696e-05, 'epoch': 0.02}

 20%|██        | 2012/10000 [3:11:15<25:41:37, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.950541079044342, dino_loss: 0.6640625, depth_loss: 0.055319108068943024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.09510338306427, dino_loss: 0.6796875, depth_loss: 0.06472698599100113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2013/10000 [3:11:26<25:28:51, 11.49s/it]
                                                         
{'loss': 1.7548, 'grad_norm': 1.6742527484893799, 'learning_rate': 4.6935488059968535e-05, 'epoch': 0.02}

 20%|██        | 2013/10000 [3:11:26<25:28:51, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9023926258087158, dino_loss: 0.71484375, depth_loss: 0.09009203314781189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9711171984672546, dino_loss: 0.69921875, depth_loss: 0.0975942388176918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2014/10000 [3:11:37<25:10:47, 11.35s/it]
                                                         
{'loss': 1.7377, 'grad_norm': 1.936282753944397, 'learning_rate': 4.6931520816009374e-05, 'epoch': 0.02}

 20%|██        | 2014/10000 [3:11:37<25:10:47, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0580806732177734, dino_loss: 0.69140625, depth_loss: 0.06390444189310074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9396486282348633, dino_loss: 0.63671875, depth_loss: 0.053401436656713486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2015/10000 [3:11:49<25:28:47, 11.49s/it]
                                                         
{'loss': 1.7217, 'grad_norm': 1.1959228515625, 'learning_rate': 4.6927551173652075e-05, 'epoch': 0.02}

 20%|██        | 2015/10000 [3:11:49<25:28:47, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.043948769569397, dino_loss: 0.71484375, depth_loss: 0.0756232887506485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0823118686676025, dino_loss: 0.671875, depth_loss: 0.05395963415503502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2016/10000 [3:11:59<25:02:18, 11.29s/it]
                                                         
{'loss': 1.8213, 'grad_norm': 3.0763299465179443, 'learning_rate': 4.692357913333074e-05, 'epoch': 0.02}

 20%|██        | 2016/10000 [3:11:59<25:02:18, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.048977255821228, dino_loss: 0.6953125, depth_loss: 0.0650206208229065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9206975102424622, dino_loss: 0.71484375, depth_loss: 0.060975100845098495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2017/10000 [3:12:11<25:12:19, 11.37s/it]
                                                         
{'loss': 1.753, 'grad_norm': 1.5072171688079834, 'learning_rate': 4.691960469547976e-05, 'epoch': 0.02}

 20%|██        | 2017/10000 [3:12:11<25:12:19, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9711252450942993, dino_loss: 0.6640625, depth_loss: 0.06991878151893616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9769984483718872, dino_loss: 0.6640625, depth_loss: 0.06076429784297943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2018/10000 [3:12:22<25:13:11, 11.37s/it]
                                                         
{'loss': 1.7035, 'grad_norm': 1.619361162185669, 'learning_rate': 4.691562786053376e-05, 'epoch': 0.02}

 20%|██        | 2018/10000 [3:12:22<25:13:11, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.946362316608429, dino_loss: 0.66015625, depth_loss: 0.05576125159859657, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0764901638031006, dino_loss: 0.74609375, depth_loss: 0.07273927330970764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2019/10000 [3:12:34<25:16:30, 11.40s/it]
                                                         
{'loss': 1.7789, 'grad_norm': 1.6535924673080444, 'learning_rate': 4.691164862892765e-05, 'epoch': 0.02}

 20%|██        | 2019/10000 [3:12:34<25:16:30, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9859185814857483, dino_loss: 0.6796875, depth_loss: 0.08062152564525604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9021977186203003, dino_loss: 0.6796875, depth_loss: 0.053410958498716354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2020/10000 [3:12:45<25:16:19, 11.40s/it]
                                                         
{'loss': 1.6908, 'grad_norm': 1.2890434265136719, 'learning_rate': 4.690766700109659e-05, 'epoch': 0.02}

 20%|██        | 2020/10000 [3:12:45<25:16:19, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0326576232910156, dino_loss: 0.69921875, depth_loss: 0.06852570176124573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 1.0640969276428223, dino_loss: 0.66015625, depth_loss: 0.05466226488351822, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2021/10000 [3:12:56<25:02:50, 11.30s/it]
                                                         
{'loss': 1.7897, 'grad_norm': 6.389407157897949, 'learning_rate': 4.6903682977476e-05, 'epoch': 0.02}

 20%|██        | 2021/10000 [3:12:56<25:02:50, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.066436767578125, dino_loss: 0.7421875, depth_loss: 0.06131412461400032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9626761674880981, dino_loss: 0.70703125, depth_loss: 0.06044310703873634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2022/10000 [3:13:07<24:52:32, 11.22s/it]
                                                         
{'loss': 1.8001, 'grad_norm': 1.724674940109253, 'learning_rate': 4.6899696558501585e-05, 'epoch': 0.02}

 20%|██        | 2022/10000 [3:13:07<24:52:32, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.055139183998108, dino_loss: 0.7421875, depth_loss: 0.06387503445148468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.004278540611267, dino_loss: 0.734375, depth_loss: 0.07028501480817795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2023/10000 [3:13:18<24:45:11, 11.17s/it]
                                                         
{'loss': 1.8351, 'grad_norm': 1.0120362043380737, 'learning_rate': 4.689570774460927e-05, 'epoch': 0.02}

 20%|██        | 2023/10000 [3:13:18<24:45:11, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.084538221359253, dino_loss: 0.73828125, depth_loss: 0.07033804804086685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9929238557815552, dino_loss: 0.69140625, depth_loss: 0.05689937621355057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2024/10000 [3:13:30<24:47:17, 11.19s/it]
                                                         
{'loss': 1.8173, 'grad_norm': 1.6619237661361694, 'learning_rate': 4.6891716536235275e-05, 'epoch': 0.02}

 20%|██        | 2024/10000 [3:13:30<24:47:17, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8813154697418213, dino_loss: 0.6796875, depth_loss: 0.07982993125915527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 1
seg_loss: 0.7259474992752075, dino_loss: 0.71484375, depth_loss: 0.0798519179224968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2025/10000 [3:13:41<24:43:38, 11.16s/it]
                                                         
{'loss': 1.5808, 'grad_norm': 1.4153820276260376, 'learning_rate': 4.6887722933816076e-05, 'epoch': 0.02}

 20%|██        | 2025/10000 [3:13:41<24:43:38, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0507667064666748, dino_loss: 0.66015625, depth_loss: 0.05467696115374565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9953000545501709, dino_loss: 0.77734375, depth_loss: 0.08648901432752609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2026/10000 [3:13:52<24:49:40, 11.21s/it]
                                                         
{'loss': 1.8124, 'grad_norm': 1.5488519668579102, 'learning_rate': 4.6883726937788405e-05, 'epoch': 0.02}

 20%|██        | 2026/10000 [3:13:52<24:49:40, 11.21s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9200381636619568, dino_loss: 0.7421875, depth_loss: 0.06510861217975616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0280680656433105, dino_loss: 0.75390625, depth_loss: 0.06976652145385742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2027/10000 [3:14:03<24:40:32, 11.14s/it]
                                                         
{'loss': 1.7896, 'grad_norm': 1.9685413837432861, 'learning_rate': 4.687972854858925e-05, 'epoch': 0.02}

 20%|██        | 2027/10000 [3:14:03<24:40:32, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0211728811264038, dino_loss: 0.734375, depth_loss: 0.07611245661973953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0543296337127686, dino_loss: 0.71875, depth_loss: 0.08643848448991776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2028/10000 [3:14:14<24:24:16, 11.02s/it]
                                                         
{'loss': 1.8456, 'grad_norm': 2.0616328716278076, 'learning_rate': 4.6875727766655887e-05, 'epoch': 0.02}

 20%|██        | 2028/10000 [3:14:14<24:24:16, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.196894884109497, dino_loss: 0.7421875, depth_loss: 0.056431349366903305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9513643383979797, dino_loss: 0.6875, depth_loss: 0.0649261400103569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2029/10000 [3:14:25<24:42:32, 11.16s/it]
                                                         
{'loss': 1.8497, 'grad_norm': 1.4026118516921997, 'learning_rate': 4.687172459242582e-05, 'epoch': 0.02}

 20%|██        | 2029/10000 [3:14:25<24:42:32, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0054813623428345, dino_loss: 0.67578125, depth_loss: 0.05773584917187691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8766329288482666, dino_loss: 0.640625, depth_loss: 0.04820352792739868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2030/10000 [3:14:37<25:03:47, 11.32s/it]
                                                         
{'loss': 1.6523, 'grad_norm': 1.589443564414978, 'learning_rate': 4.686771902633684e-05, 'epoch': 0.02}

 20%|██        | 2030/10000 [3:14:37<25:03:47, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9892222881317139, dino_loss: 0.7265625, depth_loss: 0.07336452603340149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.951179563999176, dino_loss: 0.70703125, depth_loss: 0.06862589716911316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2031/10000 [3:14:48<24:49:58, 11.22s/it]
                                                         
{'loss': 1.758, 'grad_norm': 1.3182772397994995, 'learning_rate': 4.686371106882698e-05, 'epoch': 0.02}

 20%|██        | 2031/10000 [3:14:48<24:49:58, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9931012988090515, dino_loss: 0.7421875, depth_loss: 0.07463851571083069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9456480145454407, dino_loss: 0.7265625, depth_loss: 0.06909116357564926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2032/10000 [3:14:59<24:53:32, 11.25s/it]
                                                         
{'loss': 1.7757, 'grad_norm': 0.8969163298606873, 'learning_rate': 4.6859700720334546e-05, 'epoch': 0.02}

 20%|██        | 2032/10000 [3:14:59<24:53:32, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9295575618743896, dino_loss: 0.7109375, depth_loss: 0.06301755458116531, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9444478750228882, dino_loss: 0.71484375, depth_loss: 0.05435732752084732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2033/10000 [3:15:11<24:58:36, 11.29s/it]
                                                         
{'loss': 1.7086, 'grad_norm': 1.2089407444000244, 'learning_rate': 4.6855687981298115e-05, 'epoch': 0.02}

 20%|██        | 2033/10000 [3:15:11<24:58:36, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9700226783752441, dino_loss: 0.671875, depth_loss: 0.07456187903881073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9796690940856934, dino_loss: 0.7265625, depth_loss: 0.05838632211089134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2034/10000 [3:15:22<25:15:53, 11.42s/it]
                                                         
{'loss': 1.7406, 'grad_norm': 1.4697484970092773, 'learning_rate': 4.68516728521565e-05, 'epoch': 0.02}

 20%|██        | 2034/10000 [3:15:22<25:15:53, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.018735408782959, dino_loss: 0.72265625, depth_loss: 0.06482534110546112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0475523471832275, dino_loss: 0.66015625, depth_loss: 0.05171617493033409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2035/10000 [3:15:34<25:04:34, 11.33s/it]
                                                         
{'loss': 1.7829, 'grad_norm': 1.0593236684799194, 'learning_rate': 4.684765533334879e-05, 'epoch': 0.02}

 20%|██        | 2035/10000 [3:15:34<25:04:34, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.956703245639801, dino_loss: 0.67578125, depth_loss: 0.06043378263711929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8721157312393188, dino_loss: 0.67578125, depth_loss: 0.05398797243833542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2036/10000 [3:15:45<25:00:18, 11.30s/it]
                                                         
{'loss': 1.6475, 'grad_norm': 3.082319736480713, 'learning_rate': 4.684363542531436e-05, 'epoch': 0.02}

 20%|██        | 2036/10000 [3:15:45<25:00:18, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0514909029006958, dino_loss: 0.71875, depth_loss: 0.06880483031272888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0360097885131836, dino_loss: 0.71875, depth_loss: 0.07409165799617767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2037/10000 [3:15:56<25:02:29, 11.32s/it]
                                                         
{'loss': 1.834, 'grad_norm': 1.5255863666534424, 'learning_rate': 4.683961312849279e-05, 'epoch': 0.02}

 20%|██        | 2037/10000 [3:15:56<25:02:29, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1107661724090576, dino_loss: 0.66796875, depth_loss: 0.06802166998386383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0792208909988403, dino_loss: 0.7109375, depth_loss: 0.06626294553279877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2038/10000 [3:16:07<24:39:58, 11.15s/it]
                                                         
{'loss': 1.8516, 'grad_norm': 1.6226601600646973, 'learning_rate': 4.6835588443323956e-05, 'epoch': 0.02}

 20%|██        | 2038/10000 [3:16:07<24:39:58, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.045198678970337, dino_loss: 0.796875, depth_loss: 0.07133368402719498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9887417554855347, dino_loss: 0.73046875, depth_loss: 0.06544845551252365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2039/10000 [3:16:18<24:37:11, 11.13s/it]
                                                         
{'loss': 1.8491, 'grad_norm': 1.6288037300109863, 'learning_rate': 4.683156137024801e-05, 'epoch': 0.02}

 20%|██        | 2039/10000 [3:16:18<24:37:11, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.00821852684021, dino_loss: 0.74609375, depth_loss: 0.05199543386697769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1376242637634277, dino_loss: 0.72265625, depth_loss: 0.0734780803322792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2040/10000 [3:16:29<24:29:29, 11.08s/it]
                                                         
{'loss': 1.8701, 'grad_norm': 3.16646671295166, 'learning_rate': 4.682753190970533e-05, 'epoch': 0.02}

 20%|██        | 2040/10000 [3:16:29<24:29:29, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1151171922683716, dino_loss: 0.78125, depth_loss: 0.08094915747642517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0350606441497803, dino_loss: 0.6875, depth_loss: 0.06179722771048546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2041/10000 [3:16:41<24:58:23, 11.30s/it]
                                                         
{'loss': 1.8809, 'grad_norm': 1.5983729362487793, 'learning_rate': 4.682350006213658e-05, 'epoch': 0.02}

 20%|██        | 2041/10000 [3:16:41<24:58:23, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8503661155700684, dino_loss: 0.703125, depth_loss: 0.06537847965955734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9368907809257507, dino_loss: 0.68359375, depth_loss: 0.06275161355733871, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2042/10000 [3:16:52<25:01:24, 11.32s/it]
                                                         
{'loss': 1.6511, 'grad_norm': 1.6236598491668701, 'learning_rate': 4.681946582798267e-05, 'epoch': 0.02}

 20%|██        | 2042/10000 [3:16:52<25:01:24, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9878129959106445, dino_loss: 0.6953125, depth_loss: 0.06408438831567764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1383438110351562, dino_loss: 0.73046875, depth_loss: 0.06669452786445618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2043/10000 [3:17:03<24:53:15, 11.26s/it]
                                                         
{'loss': 1.8414, 'grad_norm': 2.8938143253326416, 'learning_rate': 4.6815429207684786e-05, 'epoch': 0.02}

 20%|██        | 2043/10000 [3:17:03<24:53:15, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0235460996627808, dino_loss: 0.7734375, depth_loss: 0.07175909727811813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9806565046310425, dino_loss: 0.6640625, depth_loss: 0.06568942219018936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2044/10000 [3:17:15<24:59:19, 11.31s/it]
                                                         
{'loss': 1.7896, 'grad_norm': 3.642702102661133, 'learning_rate': 4.681139020168436e-05, 'epoch': 0.02}

 20%|██        | 2044/10000 [3:17:15<24:59:19, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9246256351470947, dino_loss: 0.72265625, depth_loss: 0.05961960554122925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.117148756980896, dino_loss: 0.73046875, depth_loss: 0.06638827919960022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2045/10000 [3:17:26<24:59:46, 11.31s/it]
                                                         
{'loss': 1.8106, 'grad_norm': 2.761230230331421, 'learning_rate': 4.68073488104231e-05, 'epoch': 0.02}

 20%|██        | 2045/10000 [3:17:26<24:59:46, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9907086491584778, dino_loss: 0.73046875, depth_loss: 0.07687057554721832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.01828932762146, dino_loss: 0.73046875, depth_loss: 0.0726049393415451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2046/10000 [3:17:37<24:49:17, 11.23s/it]
                                                         
{'loss': 1.8098, 'grad_norm': 1.8581364154815674, 'learning_rate': 4.680330503434296e-05, 'epoch': 0.02}

 20%|██        | 2046/10000 [3:17:37<24:49:17, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0009145736694336, dino_loss: 0.71484375, depth_loss: 0.082845039665699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9969323873519897, dino_loss: 0.703125, depth_loss: 0.069807268679142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2047/10000 [3:17:48<24:39:21, 11.16s/it]
                                                         
{'loss': 1.7846, 'grad_norm': 1.7268410921096802, 'learning_rate': 4.679925887388615e-05, 'epoch': 0.02}

 20%|██        | 2047/10000 [3:17:48<24:39:21, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1319091320037842, dino_loss: 0.75390625, depth_loss: 0.09256047010421753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1066423654556274, dino_loss: 0.7109375, depth_loss: 0.05627794563770294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2048/10000 [3:17:59<24:34:54, 11.13s/it]
                                                         
{'loss': 1.9262, 'grad_norm': 4.727581024169922, 'learning_rate': 4.679521032949518e-05, 'epoch': 0.02}

 20%|██        | 2048/10000 [3:17:59<24:34:54, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0112974643707275, dino_loss: 0.66796875, depth_loss: 0.06448300182819366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0610592365264893, dino_loss: 0.7109375, depth_loss: 0.06506548821926117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2049/10000 [3:18:10<24:43:48, 11.20s/it]
                                                         
{'loss': 1.7905, 'grad_norm': 1.1492565870285034, 'learning_rate': 4.679115940161277e-05, 'epoch': 0.02}

 20%|██        | 2049/10000 [3:18:10<24:43:48, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1072050333023071, dino_loss: 0.6953125, depth_loss: 0.06352691352367401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9511217474937439, dino_loss: 0.75, depth_loss: 0.06629624217748642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 20%|██        | 2050/10000 [3:18:22<24:49:28, 11.24s/it]
                                                         
{'loss': 1.8168, 'grad_norm': 1.8270750045776367, 'learning_rate': 4.678710609068193e-05, 'epoch': 0.02}

 20%|██        | 2050/10000 [3:18:22<24:49:28, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 1.052126169204712, dino_loss: 0.6875, depth_loss: 0.05969792604446411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9793679118156433, dino_loss: 0.73046875, depth_loss: 0.06142938882112503, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2051/10000 [3:18:33<24:51:01, 11.25s/it]
                                                         
{'loss': 1.7854, 'grad_norm': 2.3605525493621826, 'learning_rate': 4.678305039714593e-05, 'epoch': 0.02}

 21%|██        | 2051/10000 [3:18:33<24:51:01, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.003602385520935, dino_loss: 0.703125, depth_loss: 0.07463632524013519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0554208755493164, dino_loss: 0.71875, depth_loss: 0.07361485064029694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2052/10000 [3:18:44<24:27:16, 11.08s/it]
                                                         
{'loss': 1.8146, 'grad_norm': 2.58406662940979, 'learning_rate': 4.677899232144829e-05, 'epoch': 0.02}

 21%|██        | 2052/10000 [3:18:44<24:27:16, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.968266487121582, dino_loss: 0.7421875, depth_loss: 0.07815223932266235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1040257215499878, dino_loss: 0.69921875, depth_loss: 0.05594521388411522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2053/10000 [3:18:55<24:27:57, 11.08s/it]
                                                         
{'loss': 1.824, 'grad_norm': 2.2803170680999756, 'learning_rate': 4.6774931864032787e-05, 'epoch': 0.02}

 21%|██        | 2053/10000 [3:18:55<24:27:57, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.13761305809021, dino_loss: 0.7421875, depth_loss: 0.07107056677341461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0035524368286133, dino_loss: 0.765625, depth_loss: 0.08882834762334824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2054/10000 [3:19:06<24:46:12, 11.22s/it]
                                                         
{'loss': 1.9045, 'grad_norm': 1.8729716539382935, 'learning_rate': 4.6770869025343475e-05, 'epoch': 0.02}

 21%|██        | 2054/10000 [3:19:06<24:46:12, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9335678815841675, dino_loss: 0.72265625, depth_loss: 0.07152140140533447, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0305407047271729, dino_loss: 0.69921875, depth_loss: 0.07640541344881058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2055/10000 [3:19:17<24:34:33, 11.14s/it]
                                                         
{'loss': 1.7672, 'grad_norm': 1.2087323665618896, 'learning_rate': 4.6766803805824655e-05, 'epoch': 0.02}

 21%|██        | 2055/10000 [3:19:17<24:34:33, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9743990302085876, dino_loss: 0.75390625, depth_loss: 0.06724932044744492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0095868110656738, dino_loss: 0.6796875, depth_loss: 0.0611228384077549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2056/10000 [3:19:29<24:37:58, 11.16s/it]
                                                         
{'loss': 1.7731, 'grad_norm': 1.3885104656219482, 'learning_rate': 4.6762736205920896e-05, 'epoch': 0.02}

 21%|██        | 2056/10000 [3:19:29<24:37:58, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0025144815444946, dino_loss: 0.71484375, depth_loss: 0.0643979087471962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8942980766296387, dino_loss: 0.71484375, depth_loss: 0.07041175663471222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2057/10000 [3:19:40<24:38:42, 11.17s/it]
                                                         
{'loss': 1.7308, 'grad_norm': 1.3012938499450684, 'learning_rate': 4.6758666226077034e-05, 'epoch': 0.02}

 21%|██        | 2057/10000 [3:19:40<24:38:42, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0257920026779175, dino_loss: 0.75390625, depth_loss: 0.07633193582296371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0757243633270264, dino_loss: 0.7265625, depth_loss: 0.07785424590110779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2058/10000 [3:19:51<24:28:17, 11.09s/it]
                                                         
{'loss': 1.8682, 'grad_norm': 1.4353488683700562, 'learning_rate': 4.675459386673815e-05, 'epoch': 0.02}

 21%|██        | 2058/10000 [3:19:51<24:28:17, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9987825155258179, dino_loss: 0.71875, depth_loss: 0.06586269289255142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0543116331100464, dino_loss: 0.7109375, depth_loss: 0.061411455273628235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2059/10000 [3:20:02<24:24:00, 11.06s/it]
                                                         
{'loss': 1.8052, 'grad_norm': 1.5151594877243042, 'learning_rate': 4.675051912834958e-05, 'epoch': 0.02}

 21%|██        | 2059/10000 [3:20:02<24:24:00, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0603338479995728, dino_loss: 0.72265625, depth_loss: 0.07462223619222641, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0518590211868286, dino_loss: 0.734375, depth_loss: 0.06111093610525131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2060/10000 [3:20:13<24:55:41, 11.30s/it]
                                                         
{'loss': 1.8525, 'grad_norm': 1.8188140392303467, 'learning_rate': 4.674644201135694e-05, 'epoch': 0.02}

 21%|██        | 2060/10000 [3:20:13<24:55:41, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2207180261611938, dino_loss: 0.75, depth_loss: 0.06557758152484894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9320361614227295, dino_loss: 0.640625, depth_loss: 0.05354980379343033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2061/10000 [3:20:25<24:58:38, 11.33s/it]
                                                         
{'loss': 1.8314, 'grad_norm': 1.4011839628219604, 'learning_rate': 4.6742362516206094e-05, 'epoch': 0.02}

 21%|██        | 2061/10000 [3:20:25<24:58:38, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9761132597923279, dino_loss: 0.70703125, depth_loss: 0.0667945072054863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9785787463188171, dino_loss: 0.6484375, depth_loss: 0.053370192646980286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2062/10000 [3:20:36<24:39:50, 11.19s/it]
                                                         
{'loss': 1.7157, 'grad_norm': 1.9763928651809692, 'learning_rate': 4.673828064334318e-05, 'epoch': 0.02}

 21%|██        | 2062/10000 [3:20:36<24:39:50, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.048323392868042, dino_loss: 0.703125, depth_loss: 0.0601666234433651, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0245193243026733, dino_loss: 0.69921875, depth_loss: 0.07578571140766144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2063/10000 [3:20:47<24:35:54, 11.16s/it]
                                                         
{'loss': 1.8056, 'grad_norm': 1.162772297859192, 'learning_rate': 4.673419639321457e-05, 'epoch': 0.02}

 21%|██        | 2063/10000 [3:20:47<24:35:54, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8598112463951111, dino_loss: 0.703125, depth_loss: 0.06464257836341858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9707562923431396, dino_loss: 0.66015625, depth_loss: 0.05820425972342491, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2064/10000 [3:20:58<24:47:53, 11.25s/it]
                                                         
{'loss': 1.6584, 'grad_norm': 2.332754373550415, 'learning_rate': 4.673010976626692e-05, 'epoch': 0.02}

 21%|██        | 2064/10000 [3:20:58<24:47:53, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.062891960144043, dino_loss: 0.68359375, depth_loss: 0.06344142556190491, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0047320127487183, dino_loss: 0.62890625, depth_loss: 0.049145352095365524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2065/10000 [3:21:09<24:17:45, 11.02s/it]
                                                         
{'loss': 1.7466, 'grad_norm': 2.508497476577759, 'learning_rate': 4.672602076294714e-05, 'epoch': 0.02}

 21%|██        | 2065/10000 [3:21:09<24:17:45, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9147899150848389, dino_loss: 0.703125, depth_loss: 0.061237093061208725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9935802221298218, dino_loss: 0.7109375, depth_loss: 0.05925726890563965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2066/10000 [3:21:20<24:28:35, 11.11s/it]
                                                         
{'loss': 1.7216, 'grad_norm': 1.1985446214675903, 'learning_rate': 4.67219293837024e-05, 'epoch': 0.02}

 21%|██        | 2066/10000 [3:21:20<24:28:35, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9431554079055786, dino_loss: 0.6953125, depth_loss: 0.06957697123289108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9335960745811462, dino_loss: 0.703125, depth_loss: 0.06658020615577698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2067/10000 [3:21:31<24:20:03, 11.04s/it]
                                                         
{'loss': 1.7058, 'grad_norm': 1.433607816696167, 'learning_rate': 4.671783562898011e-05, 'epoch': 0.02}

 21%|██        | 2067/10000 [3:21:31<24:20:03, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1203173398971558, dino_loss: 0.734375, depth_loss: 0.07115580886602402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9836872220039368, dino_loss: 0.6875, depth_loss: 0.07919984310865402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2068/10000 [3:21:42<24:17:38, 11.03s/it]
                                                         
{'loss': 1.8382, 'grad_norm': 1.593929409980774, 'learning_rate': 4.671373949922797e-05, 'epoch': 0.02}

 21%|██        | 2068/10000 [3:21:42<24:17:38, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9746170043945312, dino_loss: 0.734375, depth_loss: 0.0690155178308487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9701117277145386, dino_loss: 0.70703125, depth_loss: 0.04537557065486908, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2069/10000 [3:21:53<24:23:39, 11.07s/it]
                                                         
{'loss': 1.7539, 'grad_norm': 2.1381101608276367, 'learning_rate': 4.670964099489393e-05, 'epoch': 0.02}

 21%|██        | 2069/10000 [3:21:53<24:23:39, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9255535006523132, dino_loss: 0.68359375, depth_loss: 0.058865025639534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9813446998596191, dino_loss: 0.75, depth_loss: 0.08259317278862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2070/10000 [3:22:04<24:23:07, 11.07s/it]
                                                         
{'loss': 1.7411, 'grad_norm': 1.2080533504486084, 'learning_rate': 4.670554011642619e-05, 'epoch': 0.02}

 21%|██        | 2070/10000 [3:22:04<24:23:07, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0487853288650513, dino_loss: 0.67578125, depth_loss: 0.061389874666929245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9886744618415833, dino_loss: 0.73046875, depth_loss: 0.07436824589967728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2071/10000 [3:22:15<24:24:00, 11.08s/it]
                                                         
{'loss': 1.7898, 'grad_norm': 1.3847501277923584, 'learning_rate': 4.670143686427322e-05, 'epoch': 0.02}

 21%|██        | 2071/10000 [3:22:15<24:24:00, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9296437501907349, dino_loss: 0.75, depth_loss: 0.07819841057062149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2361665964126587, dino_loss: 0.69140625, depth_loss: 0.054194241762161255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2072/10000 [3:22:27<24:29:47, 11.12s/it]
                                                         
{'loss': 1.877, 'grad_norm': 3.3527796268463135, 'learning_rate': 4.669733123888373e-05, 'epoch': 0.02}

 21%|██        | 2072/10000 [3:22:27<24:29:47, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0131360292434692, dino_loss: 0.68359375, depth_loss: 0.060447804629802704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8798790574073792, dino_loss: 0.6796875, depth_loss: 0.09331515431404114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2073/10000 [3:22:38<24:34:08, 11.16s/it]
                                                         
{'loss': 1.7051, 'grad_norm': 1.000192403793335, 'learning_rate': 4.669322324070673e-05, 'epoch': 0.02}

 21%|██        | 2073/10000 [3:22:38<24:34:08, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0944535732269287, dino_loss: 0.71875, depth_loss: 0.06278553605079651, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.218220591545105, dino_loss: 0.70703125, depth_loss: 0.05480869114398956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2074/10000 [3:22:49<24:25:47, 11.10s/it]
                                                         
{'loss': 1.9304, 'grad_norm': 2.0127580165863037, 'learning_rate': 4.6689112870191444e-05, 'epoch': 0.02}

 21%|██        | 2074/10000 [3:22:49<24:25:47, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1399931907653809, dino_loss: 0.6875, depth_loss: 0.05461249127984047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0735836029052734, dino_loss: 0.68359375, depth_loss: 0.06920597702264786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2075/10000 [3:22:59<24:10:04, 10.98s/it]
                                                         
{'loss': 1.8543, 'grad_norm': 2.304248094558716, 'learning_rate': 4.668500012778738e-05, 'epoch': 0.02}

 21%|██        | 2075/10000 [3:22:59<24:10:04, 10.98s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.9154017567634583, dino_loss: 0.71484375, depth_loss: 0.07844970375299454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9195373058319092, dino_loss: 0.7109375, depth_loss: 0.07063326984643936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2076/10000 [3:23:11<24:16:45, 11.03s/it]
                                                         
{'loss': 1.705, 'grad_norm': 3.337897300720215, 'learning_rate': 4.668088501394431e-05, 'epoch': 0.02}

 21%|██        | 2076/10000 [3:23:11<24:16:45, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.041456699371338, dino_loss: 0.72265625, depth_loss: 0.06308069825172424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.041932463645935, dino_loss: 0.671875, depth_loss: 0.0627603754401207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2077/10000 [3:23:21<24:08:23, 10.97s/it]
                                                         
{'loss': 1.8019, 'grad_norm': 2.1452367305755615, 'learning_rate': 4.667676752911225e-05, 'epoch': 0.02}

 21%|██        | 2077/10000 [3:23:21<24:08:23, 10.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1303192377090454, dino_loss: 0.6875, depth_loss: 0.07284093648195267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 1.0135875940322876, dino_loss: 0.6953125, depth_loss: 0.0504717193543911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2078/10000 [3:23:32<24:02:42, 10.93s/it]
                                                         
{'loss': 1.8255, 'grad_norm': 1.8496088981628418, 'learning_rate': 4.6672647673741485e-05, 'epoch': 0.02}

 21%|██        | 2078/10000 [3:23:32<24:02:42, 10.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1429166793823242, dino_loss: 0.6953125, depth_loss: 0.06259679049253464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0179706811904907, dino_loss: 0.71484375, depth_loss: 0.05805428326129913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2079/10000 [3:23:44<24:19:31, 11.06s/it]
                                                         
{'loss': 1.846, 'grad_norm': 3.3575830459594727, 'learning_rate': 4.666852544828256e-05, 'epoch': 0.02}

 21%|██        | 2079/10000 [3:23:44<24:19:31, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9909144639968872, dino_loss: 0.68359375, depth_loss: 0.0850759744644165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.995041012763977, dino_loss: 0.7578125, depth_loss: 0.07853348553180695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2080/10000 [3:23:55<24:21:13, 11.07s/it]
                                                         
{'loss': 1.7955, 'grad_norm': 1.9009802341461182, 'learning_rate': 4.666440085318626e-05, 'epoch': 0.02}

 21%|██        | 2080/10000 [3:23:55<24:21:13, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0843783617019653, dino_loss: 0.734375, depth_loss: 0.05756041407585144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0360500812530518, dino_loss: 0.6796875, depth_loss: 0.05444532632827759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2081/10000 [3:24:06<24:15:25, 11.03s/it]
                                                         
{'loss': 1.8233, 'grad_norm': 1.4692115783691406, 'learning_rate': 4.666027388890366e-05, 'epoch': 0.02}

 21%|██        | 2081/10000 [3:24:06<24:15:25, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0220392942428589, dino_loss: 0.66796875, depth_loss: 0.07557331025600433, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0620304346084595, dino_loss: 0.6953125, depth_loss: 0.05119987949728966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2082/10000 [3:24:17<24:13:12, 11.01s/it]
                                                         
{'loss': 1.7872, 'grad_norm': 1.9335922002792358, 'learning_rate': 4.6656144555886076e-05, 'epoch': 0.02}

 21%|██        | 2082/10000 [3:24:17<24:13:12, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9895153641700745, dino_loss: 0.61328125, depth_loss: 0.061050351709127426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.001921534538269, dino_loss: 0.69140625, depth_loss: 0.07095165550708771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2083/10000 [3:24:28<24:29:59, 11.14s/it]
                                                         
{'loss': 1.7145, 'grad_norm': 1.5201219320297241, 'learning_rate': 4.665201285458508e-05, 'epoch': 0.02}

 21%|██        | 2083/10000 [3:24:28<24:29:59, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9654224514961243, dino_loss: 0.66796875, depth_loss: 0.07789967954158783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0099611282348633, dino_loss: 0.74609375, depth_loss: 0.07392285764217377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2084/10000 [3:24:39<24:26:11, 11.11s/it]
                                                         
{'loss': 1.771, 'grad_norm': 1.7875475883483887, 'learning_rate': 4.664787878545252e-05, 'epoch': 0.02}

 21%|██        | 2084/10000 [3:24:39<24:26:11, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0342274904251099, dino_loss: 0.7265625, depth_loss: 0.06836870312690735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9781814813613892, dino_loss: 0.72265625, depth_loss: 0.06861239671707153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2085/10000 [3:24:50<24:22:58, 11.09s/it]
                                                         
{'loss': 1.7994, 'grad_norm': 2.3862104415893555, 'learning_rate': 4.6643742348940464e-05, 'epoch': 0.02}

 21%|██        | 2085/10000 [3:24:50<24:22:58, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0750521421432495, dino_loss: 0.7265625, depth_loss: 0.07206187397241592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9917770624160767, dino_loss: 0.78515625, depth_loss: 0.09561577439308167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2086/10000 [3:25:01<24:14:10, 11.02s/it]
                                                         
{'loss': 1.8733, 'grad_norm': 0.9051443934440613, 'learning_rate': 4.6639603545501295e-05, 'epoch': 0.02}

 21%|██        | 2086/10000 [3:25:01<24:14:10, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9645131230354309, dino_loss: 0.7109375, depth_loss: 0.0552620105445385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0235059261322021, dino_loss: 0.703125, depth_loss: 0.06459222733974457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2087/10000 [3:25:12<24:04:11, 10.95s/it]
                                                         
{'loss': 1.761, 'grad_norm': 1.100472092628479, 'learning_rate': 4.663546237558762e-05, 'epoch': 0.02}

 21%|██        | 2087/10000 [3:25:12<24:04:11, 10.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9158552885055542, dino_loss: 0.78125, depth_loss: 0.06290093064308167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9577120542526245, dino_loss: 0.6953125, depth_loss: 0.055786170065402985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2088/10000 [3:25:23<24:02:34, 10.94s/it]
                                                         
{'loss': 1.7345, 'grad_norm': 1.9001047611236572, 'learning_rate': 4.663131883965231e-05, 'epoch': 0.02}

 21%|██        | 2088/10000 [3:25:23<24:02:34, 10.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9707861542701721, dino_loss: 0.7109375, depth_loss: 0.06649457663297653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0181949138641357, dino_loss: 0.73046875, depth_loss: 0.056592054665088654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2089/10000 [3:25:34<24:06:19, 10.97s/it]
                                                         
{'loss': 1.7768, 'grad_norm': 2.2512001991271973, 'learning_rate': 4.662717293814849e-05, 'epoch': 0.02}

 21%|██        | 2089/10000 [3:25:34<24:06:19, 10.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9721367359161377, dino_loss: 0.76953125, depth_loss: 0.0620923787355423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.979578971862793, dino_loss: 0.73828125, depth_loss: 0.08128929138183594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2090/10000 [3:25:45<24:28:45, 11.14s/it]
                                                         
{'loss': 1.8015, 'grad_norm': 1.644371747970581, 'learning_rate': 4.662302467152955e-05, 'epoch': 0.02}

 21%|██        | 2090/10000 [3:25:45<24:28:45, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0585263967514038, dino_loss: 0.71875, depth_loss: 0.05680737644433975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1236143112182617, dino_loss: 0.69921875, depth_loss: 0.07214091718196869, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2091/10000 [3:25:56<24:10:17, 11.00s/it]
                                                         
{'loss': 1.8646, 'grad_norm': 2.44160532951355, 'learning_rate': 4.661887404024915e-05, 'epoch': 0.02}

 21%|██        | 2091/10000 [3:25:56<24:10:17, 11.00s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9162341356277466, dino_loss: 0.6796875, depth_loss: 0.07971101999282837, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0759358406066895, dino_loss: 0.76953125, depth_loss: 0.08816541731357574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2092/10000 [3:26:07<24:10:18, 11.00s/it]
                                                         
{'loss': 1.8047, 'grad_norm': 1.4504317045211792, 'learning_rate': 4.6614721044761175e-05, 'epoch': 0.02}

 21%|██        | 2092/10000 [3:26:07<24:10:18, 11.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9567120671272278, dino_loss: 0.734375, depth_loss: 0.07776203006505966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0120625495910645, dino_loss: 0.671875, depth_loss: 0.058729834854602814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2093/10000 [3:26:18<24:00:01, 10.93s/it]
                                                         
{'loss': 1.756, 'grad_norm': 1.0868542194366455, 'learning_rate': 4.661056568551982e-05, 'epoch': 0.02}

 21%|██        | 2093/10000 [3:26:18<24:00:01, 10.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9694442749023438, dino_loss: 0.6484375, depth_loss: 0.0441402941942215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9182024002075195, dino_loss: 0.69921875, depth_loss: 0.07423098385334015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2094/10000 [3:26:29<24:15:54, 11.05s/it]
                                                         
{'loss': 1.6769, 'grad_norm': 4.467520713806152, 'learning_rate': 4.660640796297948e-05, 'epoch': 0.02}

 21%|██        | 2094/10000 [3:26:29<24:15:54, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.068066954612732, dino_loss: 0.66796875, depth_loss: 0.06299014389514923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9535342454910278, dino_loss: 0.73046875, depth_loss: 0.08201675862073898, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2095/10000 [3:26:41<24:49:49, 11.31s/it]
                                                         
{'loss': 1.7826, 'grad_norm': 1.3139735460281372, 'learning_rate': 4.660224787759486e-05, 'epoch': 0.02}

 21%|██        | 2095/10000 [3:26:41<24:49:49, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9687930941581726, dino_loss: 0.6953125, depth_loss: 0.08222974836826324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9907368421554565, dino_loss: 0.6953125, depth_loss: 0.05898215249180794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2096/10000 [3:26:52<24:37:34, 11.22s/it]
                                                         
{'loss': 1.7458, 'grad_norm': 2.653592824935913, 'learning_rate': 4.659808542982088e-05, 'epoch': 0.02}

 21%|██        | 2096/10000 [3:26:52<24:37:34, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9992848634719849, dino_loss: 0.6796875, depth_loss: 0.05954660847783089, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9270846247673035, dino_loss: 0.71875, depth_loss: 0.07250116020441055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2097/10000 [3:27:03<24:31:58, 11.18s/it]
                                                         
{'loss': 1.7285, 'grad_norm': 1.3718576431274414, 'learning_rate': 4.659392062011276e-05, 'epoch': 0.02}

 21%|██        | 2097/10000 [3:27:03<24:31:58, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9996386766433716, dino_loss: 0.67578125, depth_loss: 0.06863623112440109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9862164258956909, dino_loss: 0.65625, depth_loss: 0.07116703689098358, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2098/10000 [3:27:15<24:48:34, 11.30s/it]
                                                         
{'loss': 1.7289, 'grad_norm': 1.5852669477462769, 'learning_rate': 4.658975344892594e-05, 'epoch': 0.02}

 21%|██        | 2098/10000 [3:27:15<24:48:34, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9131424427032471, dino_loss: 0.67578125, depth_loss: 0.052118897438049316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9806095361709595, dino_loss: 0.6953125, depth_loss: 0.06327646225690842, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2099/10000 [3:27:26<24:50:38, 11.32s/it]
                                                         
{'loss': 1.6902, 'grad_norm': 1.94153892993927, 'learning_rate': 4.658558391671615e-05, 'epoch': 0.02}

 21%|██        | 2099/10000 [3:27:26<24:50:38, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2496674060821533, dino_loss: 0.6796875, depth_loss: 0.05362569913268089, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9966309070587158, dino_loss: 0.73046875, depth_loss: 0.0695028305053711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2100/10000 [3:27:37<24:38:15, 11.23s/it]
                                                         
{'loss': 1.8901, 'grad_norm': 2.8306474685668945, 'learning_rate': 4.6581412023939354e-05, 'epoch': 0.02}

 21%|██        | 2100/10000 [3:27:37<24:38:15, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0368465185165405, dino_loss: 0.75390625, depth_loss: 0.07671120017766953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9781661033630371, dino_loss: 0.74609375, depth_loss: 0.05968844145536423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2101/10000 [3:27:49<24:59:43, 11.39s/it]
                                                         
{'loss': 1.8258, 'grad_norm': 1.9152741432189941, 'learning_rate': 4.657723777105178e-05, 'epoch': 0.02}

 21%|██        | 2101/10000 [3:27:49<24:59:43, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0539660453796387, dino_loss: 0.7265625, depth_loss: 0.07065167278051376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0721893310546875, dino_loss: 0.73046875, depth_loss: 0.06762056052684784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2102/10000 [3:28:00<24:38:40, 11.23s/it]
                                                         
{'loss': 1.8608, 'grad_norm': 3.2933478355407715, 'learning_rate': 4.657306115850992e-05, 'epoch': 0.02}

 21%|██        | 2102/10000 [3:28:00<24:38:40, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.030426025390625, dino_loss: 0.74609375, depth_loss: 0.0689346194267273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 2
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7888088226318359, dino_loss: 0.6484375, depth_loss: 0.054506007581949234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2103/10000 [3:28:11<24:29:27, 11.16s/it]
                                                         
{'loss': 1.6688, 'grad_norm': 1.7155070304870605, 'learning_rate': 4.656888218677054e-05, 'epoch': 0.02}

 21%|██        | 2103/10000 [3:28:11<24:29:27, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.97746741771698, dino_loss: 0.78515625, depth_loss: 0.06984472274780273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0885694026947021, dino_loss: 0.69140625, depth_loss: 0.06706734746694565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2104/10000 [3:28:22<24:32:08, 11.19s/it]
                                                         
{'loss': 1.8399, 'grad_norm': 3.989287853240967, 'learning_rate': 4.656470085629062e-05, 'epoch': 0.02}

 21%|██        | 2104/10000 [3:28:22<24:32:08, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9892611503601074, dino_loss: 0.703125, depth_loss: 0.08319592475891113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9405456781387329, dino_loss: 0.6796875, depth_loss: 0.0627165287733078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2105/10000 [3:28:33<24:42:52, 11.27s/it]
                                                         
{'loss': 1.7293, 'grad_norm': 1.8837226629257202, 'learning_rate': 4.656051716752745e-05, 'epoch': 0.02}

 21%|██        | 2105/10000 [3:28:33<24:42:52, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.026271104812622, dino_loss: 0.7421875, depth_loss: 0.059258949011564255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1112720966339111, dino_loss: 0.703125, depth_loss: 0.059519317001104355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2106/10000 [3:28:44<24:35:49, 11.22s/it]
                                                         
{'loss': 1.851, 'grad_norm': 2.8621439933776855, 'learning_rate': 4.655633112093853e-05, 'epoch': 0.02}

 21%|██        | 2106/10000 [3:28:44<24:35:49, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9593220949172974, dino_loss: 0.6953125, depth_loss: 0.05717673897743225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9476240277290344, dino_loss: 0.68359375, depth_loss: 0.07266728579998016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2107/10000 [3:28:56<24:37:18, 11.23s/it]
                                                         
{'loss': 1.7079, 'grad_norm': 2.354987144470215, 'learning_rate': 4.655214271698165e-05, 'epoch': 0.02}

 21%|██        | 2107/10000 [3:28:56<24:37:18, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0398331880569458, dino_loss: 0.69921875, depth_loss: 0.05835772678256035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0102322101593018, dino_loss: 0.7421875, depth_loss: 0.06120067089796066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2108/10000 [3:29:07<24:37:50, 11.24s/it]
                                                         
{'loss': 1.806, 'grad_norm': 2.054619073867798, 'learning_rate': 4.654795195611484e-05, 'epoch': 0.02}

 21%|██        | 2108/10000 [3:29:07<24:37:50, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.039686918258667, dino_loss: 0.72265625, depth_loss: 0.0647829920053482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.066904067993164, dino_loss: 0.7421875, depth_loss: 0.061407431960105896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2109/10000 [3:29:19<25:04:45, 11.44s/it]
                                                         
{'loss': 1.8489, 'grad_norm': 2.372976541519165, 'learning_rate': 4.654375883879641e-05, 'epoch': 0.02}

 21%|██        | 2109/10000 [3:29:19<25:04:45, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9804006814956665, dino_loss: 0.6484375, depth_loss: 0.05587082728743553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8843578100204468, dino_loss: 0.63671875, depth_loss: 0.05714642256498337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2110/10000 [3:29:30<24:59:15, 11.40s/it]
                                                         
{'loss': 1.6316, 'grad_norm': 3.729292154312134, 'learning_rate': 4.65395633654849e-05, 'epoch': 0.02}

 21%|██        | 2110/10000 [3:29:30<24:59:15, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0499439239501953, dino_loss: 0.734375, depth_loss: 0.0597953274846077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9508708119392395, dino_loss: 0.67578125, depth_loss: 0.08574298769235611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2111/10000 [3:29:41<24:47:20, 11.31s/it]
                                                         
{'loss': 1.7783, 'grad_norm': 1.13978111743927, 'learning_rate': 4.653536553663912e-05, 'epoch': 0.02}

 21%|██        | 2111/10000 [3:29:41<24:47:20, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9372580647468567, dino_loss: 0.66796875, depth_loss: 0.05449821054935455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8806060552597046, dino_loss: 0.71484375, depth_loss: 0.06672689318656921, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2112/10000 [3:29:53<24:45:08, 11.30s/it]
                                                         
{'loss': 1.661, 'grad_norm': 2.03242564201355, 'learning_rate': 4.653116535271816e-05, 'epoch': 0.02}

 21%|██        | 2112/10000 [3:29:53<24:45:08, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9724314212799072, dino_loss: 0.73046875, depth_loss: 0.05935705453157425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0650241374969482, dino_loss: 0.71875, depth_loss: 0.06630134582519531, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2113/10000 [3:30:03<24:28:26, 11.17s/it]
                                                         
{'loss': 1.8081, 'grad_norm': 1.55001962184906, 'learning_rate': 4.652696281418131e-05, 'epoch': 0.02}

 21%|██        | 2113/10000 [3:30:03<24:28:26, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9737763404846191, dino_loss: 0.7265625, depth_loss: 0.06582978367805481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9564996957778931, dino_loss: 0.77734375, depth_loss: 0.08715135604143143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2114/10000 [3:30:15<24:36:46, 11.24s/it]
                                                         
{'loss': 1.7937, 'grad_norm': 0.9134846925735474, 'learning_rate': 4.652275792148817e-05, 'epoch': 0.02}

 21%|██        | 2114/10000 [3:30:15<24:36:46, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9584943056106567, dino_loss: 0.69921875, depth_loss: 0.08516575396060944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0811539888381958, dino_loss: 0.71875, depth_loss: 0.05052018165588379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2115/10000 [3:30:26<24:24:43, 11.15s/it]
                                                         
{'loss': 1.7975, 'grad_norm': 1.2741193771362305, 'learning_rate': 4.65185506750986e-05, 'epoch': 0.02}

 21%|██        | 2115/10000 [3:30:26<24:24:43, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0390852689743042, dino_loss: 0.71484375, depth_loss: 0.0643262192606926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0551412105560303, dino_loss: 0.7578125, depth_loss: 0.056611403822898865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2116/10000 [3:30:37<24:11:20, 11.05s/it]
                                                         
{'loss': 1.844, 'grad_norm': 1.6057394742965698, 'learning_rate': 4.651434107547267e-05, 'epoch': 0.02}

 21%|██        | 2116/10000 [3:30:37<24:11:20, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9141185283660889, dino_loss: 0.7109375, depth_loss: 0.07377468049526215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1641085147857666, dino_loss: 0.70703125, depth_loss: 0.06823469698429108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2117/10000 [3:30:48<24:23:11, 11.14s/it]
                                                         
{'loss': 1.8192, 'grad_norm': 2.311929225921631, 'learning_rate': 4.651012912307074e-05, 'epoch': 0.02}

 21%|██        | 2117/10000 [3:30:48<24:23:11, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9297246932983398, dino_loss: 0.734375, depth_loss: 0.06087786704301834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9532557725906372, dino_loss: 0.7421875, depth_loss: 0.08410794287919998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2118/10000 [3:30:59<24:18:21, 11.10s/it]
                                                         
{'loss': 1.7523, 'grad_norm': 1.6232632398605347, 'learning_rate': 4.650591481835344e-05, 'epoch': 0.02}

 21%|██        | 2118/10000 [3:30:59<24:18:21, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.916863203048706, dino_loss: 0.7109375, depth_loss: 0.07048821449279785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0292508602142334, dino_loss: 0.6796875, depth_loss: 0.052277736365795135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2119/10000 [3:31:10<24:24:32, 11.15s/it]
                                                         
{'loss': 1.7298, 'grad_norm': 1.6961398124694824, 'learning_rate': 4.650169816178162e-05, 'epoch': 0.02}

 21%|██        | 2119/10000 [3:31:10<24:24:32, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0210365056991577, dino_loss: 0.6796875, depth_loss: 0.05795209854841232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.044141411781311, dino_loss: 0.76171875, depth_loss: 0.0823376476764679, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2120/10000 [3:31:21<24:22:52, 11.14s/it]
                                                         
{'loss': 1.8235, 'grad_norm': 2.1314873695373535, 'learning_rate': 4.649747915381643e-05, 'epoch': 0.02}

 21%|██        | 2120/10000 [3:31:21<24:22:52, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9423491954803467, dino_loss: 0.71875, depth_loss: 0.06438104063272476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0037198066711426, dino_loss: 0.65234375, depth_loss: 0.07536327838897705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2121/10000 [3:31:32<24:20:01, 11.12s/it]
                                                         
{'loss': 1.7285, 'grad_norm': 1.762578010559082, 'learning_rate': 4.649325779491923e-05, 'epoch': 0.02}

 21%|██        | 2121/10000 [3:31:32<24:20:01, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9574371576309204, dino_loss: 0.72265625, depth_loss: 0.06498576700687408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8813924789428711, dino_loss: 0.6875, depth_loss: 0.08069449663162231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2122/10000 [3:31:43<24:18:08, 11.11s/it]
                                                         
{'loss': 1.6974, 'grad_norm': 2.0781078338623047, 'learning_rate': 4.648903408555168e-05, 'epoch': 0.02}

 21%|██        | 2122/10000 [3:31:43<24:18:08, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8920834064483643, dino_loss: 0.7421875, depth_loss: 0.06368857622146606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.061112403869629, dino_loss: 0.671875, depth_loss: 0.059554263949394226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2123/10000 [3:31:55<24:17:17, 11.10s/it]
                                                         
{'loss': 1.7453, 'grad_norm': 2.644218683242798, 'learning_rate': 4.6484808026175664e-05, 'epoch': 0.02}

 21%|██        | 2123/10000 [3:31:55<24:17:17, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9411823749542236, dino_loss: 0.70703125, depth_loss: 0.048939742147922516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0850416421890259, dino_loss: 0.7421875, depth_loss: 0.06415282189846039, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██        | 2124/10000 [3:32:06<24:36:43, 11.25s/it]
                                                         
{'loss': 1.7943, 'grad_norm': 2.133168935775757, 'learning_rate': 4.648057961725334e-05, 'epoch': 0.02}

 21%|██        | 2124/10000 [3:32:06<24:36:43, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9013432264328003, dino_loss: 0.71875, depth_loss: 0.08074649423360825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9677811861038208, dino_loss: 0.74609375, depth_loss: 0.06146685779094696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2125/10000 [3:32:17<24:13:47, 11.08s/it]
                                                         
{'loss': 1.7382, 'grad_norm': 1.3693124055862427, 'learning_rate': 4.6476348859247134e-05, 'epoch': 0.02}

 21%|██▏       | 2125/10000 [3:32:17<24:13:47, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.960322916507721, dino_loss: 0.6875, depth_loss: 0.05716176703572273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9903631210327148, dino_loss: 0.66796875, depth_loss: 0.06412063539028168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2126/10000 [3:32:28<24:12:51, 11.07s/it]
                                                         
{'loss': 1.7138, 'grad_norm': 1.9745917320251465, 'learning_rate': 4.64721157526197e-05, 'epoch': 0.02}

 21%|██▏       | 2126/10000 [3:32:28<24:12:51, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9719942212104797, dino_loss: 0.72265625, depth_loss: 0.08999206125736237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1098331212997437, dino_loss: 0.75390625, depth_loss: 0.053181953728199005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2127/10000 [3:32:39<24:14:10, 11.08s/it]
                                                         
{'loss': 1.8508, 'grad_norm': 1.3308643102645874, 'learning_rate': 4.646788029783398e-05, 'epoch': 0.02}

 21%|██▏       | 2127/10000 [3:32:39<24:14:10, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9873751401901245, dino_loss: 0.73046875, depth_loss: 0.078586645424366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0242290496826172, dino_loss: 0.7109375, depth_loss: 0.08583131432533264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2128/10000 [3:32:50<24:19:55, 11.13s/it]
                                                         
{'loss': 1.8088, 'grad_norm': 1.6118205785751343, 'learning_rate': 4.646364249535313e-05, 'epoch': 0.02}

 21%|██▏       | 2128/10000 [3:32:50<24:19:55, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0116031169891357, dino_loss: 0.71875, depth_loss: 0.05947894975543022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9155800938606262, dino_loss: 0.671875, depth_loss: 0.06395962089300156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2129/10000 [3:33:01<24:26:35, 11.18s/it]
                                                         
{'loss': 1.7207, 'grad_norm': 1.6001852750778198, 'learning_rate': 4.645940234564062e-05, 'epoch': 0.02}

 21%|██▏       | 2129/10000 [3:33:01<24:26:35, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9313454627990723, dino_loss: 0.68359375, depth_loss: 0.06003991886973381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1106693744659424, dino_loss: 0.71875, depth_loss: 0.07802519202232361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2130/10000 [3:33:13<24:30:58, 11.21s/it]
                                                         
{'loss': 1.7913, 'grad_norm': 2.048927068710327, 'learning_rate': 4.645515984916013e-05, 'epoch': 0.02}

 21%|██▏       | 2130/10000 [3:33:13<24:30:58, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.03706693649292, dino_loss: 0.765625, depth_loss: 0.08123209327459335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0212123394012451, dino_loss: 0.6953125, depth_loss: 0.06003858149051666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2131/10000 [3:33:23<24:11:10, 11.06s/it]
                                                         
{'loss': 1.8303, 'grad_norm': 3.120556354522705, 'learning_rate': 4.645091500637562e-05, 'epoch': 0.02}

 21%|██▏       | 2131/10000 [3:33:23<24:11:10, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8826903104782104, dino_loss: 0.72265625, depth_loss: 0.08782104402780533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8141186237335205, dino_loss: 0.66796875, depth_loss: 0.0545312725007534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2132/10000 [3:33:35<24:20:56, 11.14s/it]
                                                         
{'loss': 1.615, 'grad_norm': 2.787069797515869, 'learning_rate': 4.644666781775129e-05, 'epoch': 0.02}

 21%|██▏       | 2132/10000 [3:33:35<24:20:56, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0624953508377075, dino_loss: 0.77734375, depth_loss: 0.06759752333164215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9481561183929443, dino_loss: 0.7265625, depth_loss: 0.06469473987817764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2133/10000 [3:33:46<24:28:17, 11.20s/it]
                                                         
{'loss': 1.8235, 'grad_norm': 1.310383915901184, 'learning_rate': 4.644241828375161e-05, 'epoch': 0.02}

 21%|██▏       | 2133/10000 [3:33:46<24:28:17, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0961942672729492, dino_loss: 0.7265625, depth_loss: 0.07364508509635925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0712891817092896, dino_loss: 0.69921875, depth_loss: 0.06156429648399353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2134/10000 [3:33:57<24:24:14, 11.17s/it]
                                                         
{'loss': 1.8643, 'grad_norm': 1.5933363437652588, 'learning_rate': 4.643816640484131e-05, 'epoch': 0.02}

 21%|██▏       | 2134/10000 [3:33:57<24:24:14, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9417211413383484, dino_loss: 0.71875, depth_loss: 0.06925821304321289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9468685388565063, dino_loss: 0.72265625, depth_loss: 0.06172146275639534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2135/10000 [3:34:08<24:15:32, 11.10s/it]
                                                         
{'loss': 1.7306, 'grad_norm': 1.9600659608840942, 'learning_rate': 4.643391218148536e-05, 'epoch': 0.02}

 21%|██▏       | 2135/10000 [3:34:08<24:15:32, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.029531478881836, dino_loss: 0.7578125, depth_loss: 0.05801122635602951, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0516153573989868, dino_loss: 0.66796875, depth_loss: 0.05145047605037689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2136/10000 [3:34:19<24:19:42, 11.14s/it]
                                                         
{'loss': 1.8083, 'grad_norm': 1.1796625852584839, 'learning_rate': 4.6429655614149e-05, 'epoch': 0.02}

 21%|██▏       | 2136/10000 [3:34:19<24:19:42, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0565118789672852, dino_loss: 0.72265625, depth_loss: 0.06853754818439484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.954411506652832, dino_loss: 0.734375, depth_loss: 0.07645504176616669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2137/10000 [3:34:30<24:04:54, 11.03s/it]
                                                         
{'loss': 1.8065, 'grad_norm': 1.1321755647659302, 'learning_rate': 4.6425396703297724e-05, 'epoch': 0.02}

 21%|██▏       | 2137/10000 [3:34:30<24:04:54, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8728402256965637, dino_loss: 0.66796875, depth_loss: 0.06482341140508652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0301151275634766, dino_loss: 0.7578125, depth_loss: 0.07573933899402618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2138/10000 [3:34:41<24:08:33, 11.05s/it]
                                                         
{'loss': 1.7347, 'grad_norm': 1.5106537342071533, 'learning_rate': 4.642113544939728e-05, 'epoch': 0.02}

 21%|██▏       | 2138/10000 [3:34:41<24:08:33, 11.05s/it]the number of masks: 8
the number of masks: 1
the number of masks: 8
the number of masks: 8
seg_loss: 0.8950057029724121, dino_loss: 0.703125, depth_loss: 0.058545440435409546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0517113208770752, dino_loss: 0.73828125, depth_loss: 0.07027194648981094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2139/10000 [3:34:52<24:00:09, 10.99s/it]
                                                         
{'loss': 1.7587, 'grad_norm': 1.7763785123825073, 'learning_rate': 4.641687185291366e-05, 'epoch': 0.02}

 21%|██▏       | 2139/10000 [3:34:52<24:00:09, 10.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9897410869598389, dino_loss: 0.65625, depth_loss: 0.06607645004987717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9427317380905151, dino_loss: 0.71875, depth_loss: 0.06627201288938522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2140/10000 [3:35:03<24:04:58, 11.03s/it]
                                                         
{'loss': 1.72, 'grad_norm': 1.9857326745986938, 'learning_rate': 4.6412605914313144e-05, 'epoch': 0.02}

 21%|██▏       | 2140/10000 [3:35:03<24:04:58, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8920425176620483, dino_loss: 0.63671875, depth_loss: 0.053386591374874115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0264548063278198, dino_loss: 0.76953125, depth_loss: 0.07389752566814423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2141/10000 [3:35:15<24:32:07, 11.24s/it]
                                                         
{'loss': 1.7261, 'grad_norm': 2.5519232749938965, 'learning_rate': 4.640833763406223e-05, 'epoch': 0.02}

 21%|██▏       | 2141/10000 [3:35:15<24:32:07, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8387188911437988, dino_loss: 0.703125, depth_loss: 0.06398458033800125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.864170491695404, dino_loss: 0.66015625, depth_loss: 0.06010644882917404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2142/10000 [3:35:26<24:39:58, 11.30s/it]
                                                         
{'loss': 1.5952, 'grad_norm': 1.7469114065170288, 'learning_rate': 4.6404067012627704e-05, 'epoch': 0.02}

 21%|██▏       | 2142/10000 [3:35:26<24:39:58, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9778584241867065, dino_loss: 0.69140625, depth_loss: 0.08158831298351288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9026637077331543, dino_loss: 0.63671875, depth_loss: 0.058994464576244354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2143/10000 [3:35:37<24:26:22, 11.20s/it]
                                                         
{'loss': 1.6747, 'grad_norm': 3.1920197010040283, 'learning_rate': 4.639979405047658e-05, 'epoch': 0.02}

 21%|██▏       | 2143/10000 [3:35:37<24:26:22, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9307072162628174, dino_loss: 0.6953125, depth_loss: 0.06042260676622391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9693430662155151, dino_loss: 0.74609375, depth_loss: 0.056187134236097336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2144/10000 [3:35:49<24:46:11, 11.35s/it]
                                                         
{'loss': 1.7291, 'grad_norm': 1.3252753019332886, 'learning_rate': 4.639551874807617e-05, 'epoch': 0.02}

 21%|██▏       | 2144/10000 [3:35:49<24:46:11, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1259695291519165, dino_loss: 0.6796875, depth_loss: 0.07341943681240082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9936679005622864, dino_loss: 0.73828125, depth_loss: 0.07306834310293198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2145/10000 [3:36:00<24:28:38, 11.22s/it]
                                                         
{'loss': 1.8421, 'grad_norm': 1.7085964679718018, 'learning_rate': 4.639124110589399e-05, 'epoch': 0.02}

 21%|██▏       | 2145/10000 [3:36:00<24:28:38, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9003247618675232, dino_loss: 0.765625, depth_loss: 0.06677739322185516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9292733669281006, dino_loss: 0.69140625, depth_loss: 0.06591619551181793, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2146/10000 [3:36:11<24:20:52, 11.16s/it]
                                                         
{'loss': 1.7097, 'grad_norm': 3.1263537406921387, 'learning_rate': 4.638696112439784e-05, 'epoch': 0.02}

 21%|██▏       | 2146/10000 [3:36:11<24:20:52, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9619086980819702, dino_loss: 0.7265625, depth_loss: 0.06261957436800003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0308837890625, dino_loss: 0.7109375, depth_loss: 0.05373760312795639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2147/10000 [3:36:22<24:27:14, 11.21s/it]
                                                         
{'loss': 1.7734, 'grad_norm': 2.0735437870025635, 'learning_rate': 4.638267880405578e-05, 'epoch': 0.02}

 21%|██▏       | 2147/10000 [3:36:22<24:27:14, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0234568119049072, dino_loss: 0.75390625, depth_loss: 0.0633610263466835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0608569383621216, dino_loss: 0.73828125, depth_loss: 0.056620318442583084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2148/10000 [3:36:34<24:41:08, 11.32s/it]
                                                         
{'loss': 1.8483, 'grad_norm': 1.6814250946044922, 'learning_rate': 4.6378394145336115e-05, 'epoch': 0.02}

 21%|██▏       | 2148/10000 [3:36:34<24:41:08, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8793323040008545, dino_loss: 0.7421875, depth_loss: 0.056940436363220215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.982406497001648, dino_loss: 0.734375, depth_loss: 0.06905433535575867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 21%|██▏       | 2149/10000 [3:36:45<24:28:05, 11.22s/it]
                                                         
{'loss': 1.7322, 'grad_norm': 1.7409281730651855, 'learning_rate': 4.637410714870741e-05, 'epoch': 0.02}

 21%|██▏       | 2149/10000 [3:36:45<24:28:05, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9193474054336548, dino_loss: 0.7265625, depth_loss: 0.0656442865729332, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9179839491844177, dino_loss: 0.76171875, depth_loss: 0.08905431628227234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2150/10000 [3:36:56<24:23:17, 11.18s/it]
                                                         
{'loss': 1.7402, 'grad_norm': 1.470043659210205, 'learning_rate': 4.6369817814638475e-05, 'epoch': 0.02}

 22%|██▏       | 2150/10000 [3:36:56<24:23:17, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0131889581680298, dino_loss: 0.671875, depth_loss: 0.05375514551997185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.997539758682251, dino_loss: 0.64453125, depth_loss: 0.047240741550922394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2151/10000 [3:37:07<24:30:52, 11.24s/it]
                                                         
{'loss': 1.7141, 'grad_norm': 1.6099941730499268, 'learning_rate': 4.63655261435984e-05, 'epoch': 0.02}

 22%|██▏       | 2151/10000 [3:37:07<24:30:52, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9395492672920227, dino_loss: 0.65234375, depth_loss: 0.05159873515367508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9307635426521301, dino_loss: 0.703125, depth_loss: 0.06546520441770554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2152/10000 [3:37:18<24:23:38, 11.19s/it]
                                                         
{'loss': 1.6715, 'grad_norm': 3.2834770679473877, 'learning_rate': 4.636123213605651e-05, 'epoch': 0.02}

 22%|██▏       | 2152/10000 [3:37:18<24:23:38, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.041548490524292, dino_loss: 0.71484375, depth_loss: 0.06496882438659668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0190626382827759, dino_loss: 0.73828125, depth_loss: 0.056418526917696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2153/10000 [3:37:30<24:37:50, 11.30s/it]
                                                         
{'loss': 1.8176, 'grad_norm': 1.719178318977356, 'learning_rate': 4.635693579248238e-05, 'epoch': 0.02}

 22%|██▏       | 2153/10000 [3:37:30<24:37:50, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9623653888702393, dino_loss: 0.69921875, depth_loss: 0.0619128942489624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0711957216262817, dino_loss: 0.74609375, depth_loss: 0.06306005269289017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2154/10000 [3:37:41<24:30:59, 11.25s/it]
                                                         
{'loss': 1.802, 'grad_norm': 1.6343547105789185, 'learning_rate': 4.6352637113345865e-05, 'epoch': 0.02}

 22%|██▏       | 2154/10000 [3:37:41<24:30:59, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.995439887046814, dino_loss: 0.75, depth_loss: 0.09209787100553513, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9583796262741089, dino_loss: 0.734375, depth_loss: 0.08516385406255722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2155/10000 [3:37:52<24:11:39, 11.10s/it]
                                                         
{'loss': 1.8078, 'grad_norm': 1.3485571146011353, 'learning_rate': 4.634833609911706e-05, 'epoch': 0.02}

 22%|██▏       | 2155/10000 [3:37:52<24:11:39, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9619166851043701, dino_loss: 0.68359375, depth_loss: 0.056719761341810226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.972628116607666, dino_loss: 0.79296875, depth_loss: 0.06880120933055878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2156/10000 [3:38:03<24:20:09, 11.17s/it]
                                                         
{'loss': 1.7684, 'grad_norm': 2.1289753913879395, 'learning_rate': 4.634403275026632e-05, 'epoch': 0.02}

 22%|██▏       | 2156/10000 [3:38:03<24:20:09, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9965575933456421, dino_loss: 0.68359375, depth_loss: 0.07908719778060913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0750505924224854, dino_loss: 0.71484375, depth_loss: 0.059354428201913834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2157/10000 [3:38:14<24:23:33, 11.20s/it]
                                                         
{'loss': 1.8043, 'grad_norm': 1.8365706205368042, 'learning_rate': 4.633972706726425e-05, 'epoch': 0.02}

 22%|██▏       | 2157/10000 [3:38:14<24:23:33, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8881775140762329, dino_loss: 0.74609375, depth_loss: 0.0732850730419159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9114310145378113, dino_loss: 0.67578125, depth_loss: 0.06545868515968323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2158/10000 [3:38:26<24:25:36, 11.21s/it]
                                                         
{'loss': 1.6802, 'grad_norm': 4.498271465301514, 'learning_rate': 4.63354190505817e-05, 'epoch': 0.02}

 22%|██▏       | 2158/10000 [3:38:26<24:25:36, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8143353462219238, dino_loss: 0.69921875, depth_loss: 0.059726692736148834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8452590107917786, dino_loss: 0.6328125, depth_loss: 0.060086216777563095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2159/10000 [3:38:37<24:32:31, 11.27s/it]
                                                         
{'loss': 1.5558, 'grad_norm': 3.393364667892456, 'learning_rate': 4.633110870068981e-05, 'epoch': 0.02}

 22%|██▏       | 2159/10000 [3:38:37<24:32:31, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9973670244216919, dino_loss: 0.6484375, depth_loss: 0.056530773639678955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9834503531455994, dino_loss: 0.8046875, depth_loss: 0.07675495743751526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2160/10000 [3:38:49<24:40:29, 11.33s/it]
                                                         
{'loss': 1.7837, 'grad_norm': 3.582029342651367, 'learning_rate': 4.6326796018059936e-05, 'epoch': 0.02}

 22%|██▏       | 2160/10000 [3:38:49<24:40:29, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9236916303634644, dino_loss: 0.79296875, depth_loss: 0.07053124904632568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9923255443572998, dino_loss: 0.7265625, depth_loss: 0.06237643212080002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2161/10000 [3:39:00<24:40:19, 11.33s/it]
                                                         
{'loss': 1.7843, 'grad_norm': 2.204375982284546, 'learning_rate': 4.632248100316372e-05, 'epoch': 0.02}

 22%|██▏       | 2161/10000 [3:39:00<24:40:19, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9550976753234863, dino_loss: 0.765625, depth_loss: 0.07309623807668686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9064342975616455, dino_loss: 0.7421875, depth_loss: 0.06921204924583435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2162/10000 [3:39:11<24:40:20, 11.33s/it]
                                                         
{'loss': 1.7559, 'grad_norm': 2.106457233428955, 'learning_rate': 4.6318163656473043e-05, 'epoch': 0.02}

 22%|██▏       | 2162/10000 [3:39:11<24:40:20, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9743582010269165, dino_loss: 0.6953125, depth_loss: 0.06509951502084732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.041752576828003, dino_loss: 0.734375, depth_loss: 0.07082386314868927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2163/10000 [3:39:23<25:08:43, 11.55s/it]
                                                         
{'loss': 1.7909, 'grad_norm': 2.1652588844299316, 'learning_rate': 4.631384397846003e-05, 'epoch': 0.02}

 22%|██▏       | 2163/10000 [3:39:23<25:08:43, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8359926342964172, dino_loss: 0.79296875, depth_loss: 0.06344761699438095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9471494555473328, dino_loss: 0.703125, depth_loss: 0.07133232802152634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2164/10000 [3:39:34<24:46:38, 11.38s/it]
                                                         
{'loss': 1.7071, 'grad_norm': 2.4800820350646973, 'learning_rate': 4.630952196959709e-05, 'epoch': 0.02}

 22%|██▏       | 2164/10000 [3:39:34<24:46:38, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9491159319877625, dino_loss: 0.7890625, depth_loss: 0.07022520899772644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0429978370666504, dino_loss: 0.7578125, depth_loss: 0.07828857004642487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2165/10000 [3:39:45<24:26:30, 11.23s/it]
                                                         
{'loss': 1.8438, 'grad_norm': 1.2245463132858276, 'learning_rate': 4.630519763035687e-05, 'epoch': 0.02}

 22%|██▏       | 2165/10000 [3:39:45<24:26:30, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9286186695098877, dino_loss: 0.6953125, depth_loss: 0.05989661067724228, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0005488395690918, dino_loss: 0.72265625, depth_loss: 0.081706203520298, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2166/10000 [3:39:57<24:32:45, 11.28s/it]
                                                         
{'loss': 1.7444, 'grad_norm': 1.1622307300567627, 'learning_rate': 4.6300870961212264e-05, 'epoch': 0.02}

 22%|██▏       | 2166/10000 [3:39:57<24:32:45, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0294041633605957, dino_loss: 0.72265625, depth_loss: 0.062430523335933685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9444019794464111, dino_loss: 0.68359375, depth_loss: 0.05535702034831047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2167/10000 [3:40:08<24:18:09, 11.17s/it]
                                                         
{'loss': 1.749, 'grad_norm': 0.946546196937561, 'learning_rate': 4.629654196263643e-05, 'epoch': 0.02}

 22%|██▏       | 2167/10000 [3:40:08<24:18:09, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.171186923980713, dino_loss: 0.69140625, depth_loss: 0.04951723292469978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9498283863067627, dino_loss: 0.66015625, depth_loss: 0.056824203580617905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2168/10000 [3:40:19<24:19:57, 11.18s/it]
                                                         
{'loss': 1.7895, 'grad_norm': 1.9194576740264893, 'learning_rate': 4.629221063510279e-05, 'epoch': 0.02}

 22%|██▏       | 2168/10000 [3:40:19<24:19:57, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0338000059127808, dino_loss: 0.73046875, depth_loss: 0.07081842422485352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9310276508331299, dino_loss: 0.65234375, depth_loss: 0.06292411684989929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2169/10000 [3:40:30<24:20:05, 11.19s/it]
                                                         
{'loss': 1.7408, 'grad_norm': 2.0385642051696777, 'learning_rate': 4.6287876979085006e-05, 'epoch': 0.02}

 22%|██▏       | 2169/10000 [3:40:30<24:20:05, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9566702842712402, dino_loss: 0.6953125, depth_loss: 0.057573601603507996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0169597864151, dino_loss: 0.7578125, depth_loss: 0.06490986049175262, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2170/10000 [3:40:41<24:09:04, 11.10s/it]
                                                         
{'loss': 1.7747, 'grad_norm': 0.9523259401321411, 'learning_rate': 4.6283540995057004e-05, 'epoch': 0.02}

 22%|██▏       | 2170/10000 [3:40:41<24:09:04, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9079725742340088, dino_loss: 0.6953125, depth_loss: 0.05137817561626434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9414896965026855, dino_loss: 0.6875, depth_loss: 0.060141317546367645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2171/10000 [3:40:53<24:34:07, 11.30s/it]
                                                         
{'loss': 1.6719, 'grad_norm': 1.4348504543304443, 'learning_rate': 4.627920268349296e-05, 'epoch': 0.02}

 22%|██▏       | 2171/10000 [3:40:53<24:34:07, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9024485945701599, dino_loss: 0.66015625, depth_loss: 0.06785076856613159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9069587588310242, dino_loss: 0.7421875, depth_loss: 0.055585455149412155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2172/10000 [3:41:04<24:41:05, 11.35s/it]
                                                         
{'loss': 1.6676, 'grad_norm': 2.7496678829193115, 'learning_rate': 4.6274862044867304e-05, 'epoch': 0.02}

 22%|██▏       | 2172/10000 [3:41:04<24:41:05, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8740028142929077, dino_loss: 0.734375, depth_loss: 0.07154901325702667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9124279618263245, dino_loss: 0.7109375, depth_loss: 0.06909528374671936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2173/10000 [3:41:15<24:35:33, 11.31s/it]
                                                         
{'loss': 1.6862, 'grad_norm': 3.4268720149993896, 'learning_rate': 4.6270519079654716e-05, 'epoch': 0.02}

 22%|██▏       | 2173/10000 [3:41:15<24:35:33, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9527719020843506, dino_loss: 0.69140625, depth_loss: 0.07796625047922134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0963962078094482, dino_loss: 0.65625, depth_loss: 0.05886756256222725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2174/10000 [3:41:26<24:11:39, 11.13s/it]
                                                         
{'loss': 1.7669, 'grad_norm': 3.2327818870544434, 'learning_rate': 4.6266173788330136e-05, 'epoch': 0.02}

 22%|██▏       | 2174/10000 [3:41:26<24:11:39, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0966063737869263, dino_loss: 0.7421875, depth_loss: 0.06720862537622452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0937349796295166, dino_loss: 0.73828125, depth_loss: 0.05701328068971634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2175/10000 [3:41:37<24:06:27, 11.09s/it]
                                                         
{'loss': 1.8976, 'grad_norm': 3.3095669746398926, 'learning_rate': 4.6261826171368774e-05, 'epoch': 0.02}

 22%|██▏       | 2175/10000 [3:41:37<24:06:27, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9073127508163452, dino_loss: 0.62890625, depth_loss: 0.050194151699543, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.953622579574585, dino_loss: 0.6875, depth_loss: 0.06929480284452438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2176/10000 [3:41:48<24:05:12, 11.08s/it]
                                                         
{'loss': 1.6485, 'grad_norm': 2.899407386779785, 'learning_rate': 4.625747622924607e-05, 'epoch': 0.02}

 22%|██▏       | 2176/10000 [3:41:48<24:05:12, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8589953780174255, dino_loss: 0.703125, depth_loss: 0.06797055155038834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0176464319229126, dino_loss: 0.75390625, depth_loss: 0.06653890013694763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2177/10000 [3:41:59<24:13:16, 11.15s/it]
                                                         
{'loss': 1.7341, 'grad_norm': 1.4627596139907837, 'learning_rate': 4.625312396243772e-05, 'epoch': 0.02}

 22%|██▏       | 2177/10000 [3:41:59<24:13:16, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.9967077970504761, dino_loss: 0.6796875, depth_loss: 0.054266735911369324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9570759534835815, dino_loss: 0.75, depth_loss: 0.07208018004894257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2178/10000 [3:42:10<24:07:58, 11.11s/it]
                                                         
{'loss': 1.7549, 'grad_norm': 1.1610193252563477, 'learning_rate': 4.6248769371419684e-05, 'epoch': 0.02}

 22%|██▏       | 2178/10000 [3:42:10<24:07:58, 11.11s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9702025651931763, dino_loss: 0.7421875, depth_loss: 0.07825929671525955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8916836977005005, dino_loss: 0.671875, depth_loss: 0.09141544252634048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2179/10000 [3:42:22<24:13:35, 11.15s/it]
                                                         
{'loss': 1.7229, 'grad_norm': 2.516101837158203, 'learning_rate': 4.6244412456668185e-05, 'epoch': 0.02}

 22%|██▏       | 2179/10000 [3:42:22<24:13:35, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9503307938575745, dino_loss: 0.734375, depth_loss: 0.055394358932971954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0108524560928345, dino_loss: 0.7109375, depth_loss: 0.0593620128929615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2180/10000 [3:42:33<24:35:13, 11.32s/it]
                                                         
{'loss': 1.7607, 'grad_norm': 1.627119779586792, 'learning_rate': 4.6240053218659674e-05, 'epoch': 0.02}

 22%|██▏       | 2180/10000 [3:42:33<24:35:13, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.98099285364151, dino_loss: 0.73828125, depth_loss: 0.06876562535762787, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0242496728897095, dino_loss: 0.70703125, depth_loss: 0.08015913516283035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2181/10000 [3:42:44<24:21:40, 11.22s/it]
                                                         
{'loss': 1.7998, 'grad_norm': 0.9500035643577576, 'learning_rate': 4.623569165787088e-05, 'epoch': 0.02}

 22%|██▏       | 2181/10000 [3:42:44<24:21:40, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.973236620426178, dino_loss: 0.71484375, depth_loss: 0.06022948399186134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.003591537475586, dino_loss: 0.6953125, depth_loss: 0.0620911605656147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2182/10000 [3:42:55<24:04:30, 11.09s/it]
                                                         
{'loss': 1.7547, 'grad_norm': 1.4506654739379883, 'learning_rate': 4.6231327774778766e-05, 'epoch': 0.02}

 22%|██▏       | 2182/10000 [3:42:55<24:04:30, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1658419370651245, dino_loss: 0.73046875, depth_loss: 0.07047609984874725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.206165075302124, dino_loss: 0.7265625, depth_loss: 0.0803968608379364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2183/10000 [3:43:06<23:54:17, 11.01s/it]
                                                         
{'loss': 1.99, 'grad_norm': 3.65898060798645, 'learning_rate': 4.6226961569860575e-05, 'epoch': 0.02}

 22%|██▏       | 2183/10000 [3:43:06<23:54:17, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0825302600860596, dino_loss: 0.7265625, depth_loss: 0.08653520792722702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9727934002876282, dino_loss: 0.6953125, depth_loss: 0.07935330271720886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2184/10000 [3:43:16<23:35:25, 10.87s/it]
                                                         
{'loss': 1.8216, 'grad_norm': 1.5578161478042603, 'learning_rate': 4.622259304359378e-05, 'epoch': 0.02}

 22%|██▏       | 2184/10000 [3:43:16<23:35:25, 10.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0182216167449951, dino_loss: 0.69921875, depth_loss: 0.06868603080511093, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.9848722219467163, dino_loss: 0.7578125, depth_loss: 0.07256066799163818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2185/10000 [3:43:27<23:23:25, 10.77s/it]
                                                         
{'loss': 1.8007, 'grad_norm': 2.4692704677581787, 'learning_rate': 4.621822219645612e-05, 'epoch': 0.02}

 22%|██▏       | 2185/10000 [3:43:27<23:23:25, 10.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8735781311988831, dino_loss: 0.64453125, depth_loss: 0.03937912359833717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0288379192352295, dino_loss: 0.6953125, depth_loss: 0.07255799323320389, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2186/10000 [3:43:38<23:22:50, 10.77s/it]
                                                         
{'loss': 1.6771, 'grad_norm': 2.8048062324523926, 'learning_rate': 4.6213849028925574e-05, 'epoch': 0.02}

 22%|██▏       | 2186/10000 [3:43:38<23:22:50, 10.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9231088757514954, dino_loss: 0.63671875, depth_loss: 0.046294983476400375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9926418662071228, dino_loss: 0.64453125, depth_loss: 0.04746983200311661, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2187/10000 [3:43:49<23:40:21, 10.91s/it]
                                                         
{'loss': 1.6454, 'grad_norm': 1.6007746458053589, 'learning_rate': 4.62094735414804e-05, 'epoch': 0.02}

 22%|██▏       | 2187/10000 [3:43:49<23:40:21, 10.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9795204401016235, dino_loss: 0.68359375, depth_loss: 0.05621207505464554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0062637329101562, dino_loss: 0.72265625, depth_loss: 0.05524153262376785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2188/10000 [3:44:00<23:53:43, 11.01s/it]
                                                         
{'loss': 1.7518, 'grad_norm': 1.986706256866455, 'learning_rate': 4.620509573459909e-05, 'epoch': 0.02}

 22%|██▏       | 2188/10000 [3:44:00<23:53:43, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1575510501861572, dino_loss: 0.72265625, depth_loss: 0.05557388439774513, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9801534414291382, dino_loss: 0.63671875, depth_loss: 0.059821657836437225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2189/10000 [3:44:11<23:58:17, 11.05s/it]
                                                         
{'loss': 1.8063, 'grad_norm': 1.2139371633529663, 'learning_rate': 4.620071560876038e-05, 'epoch': 0.02}

 22%|██▏       | 2189/10000 [3:44:11<23:58:17, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1192766427993774, dino_loss: 0.70703125, depth_loss: 0.09635176509618759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9169588685035706, dino_loss: 0.68359375, depth_loss: 0.06703417748212814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2190/10000 [3:44:22<23:55:18, 11.03s/it]
                                                         
{'loss': 1.7952, 'grad_norm': 1.89432954788208, 'learning_rate': 4.6196333164443295e-05, 'epoch': 0.02}

 22%|██▏       | 2190/10000 [3:44:22<23:55:18, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0327062606811523, dino_loss: 0.71875, depth_loss: 0.07676194608211517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9375368356704712, dino_loss: 0.62890625, depth_loss: 0.0612042173743248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2191/10000 [3:44:33<23:56:43, 11.04s/it]
                                                         
{'loss': 1.728, 'grad_norm': 1.839756965637207, 'learning_rate': 4.619194840212708e-05, 'epoch': 0.02}

 22%|██▏       | 2191/10000 [3:44:33<23:56:43, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0000078678131104, dino_loss: 0.7109375, depth_loss: 0.06607609987258911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9720746874809265, dino_loss: 0.75, depth_loss: 0.07393461465835571, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2192/10000 [3:44:44<23:53:13, 11.01s/it]
                                                         
{'loss': 1.7866, 'grad_norm': 1.0582174062728882, 'learning_rate': 4.618756132229125e-05, 'epoch': 0.02}

 22%|██▏       | 2192/10000 [3:44:44<23:53:13, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9432389736175537, dino_loss: 0.7109375, depth_loss: 0.07009130716323853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9152640700340271, dino_loss: 0.71484375, depth_loss: 0.07779001444578171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2193/10000 [3:44:55<23:46:01, 10.96s/it]
                                                         
{'loss': 1.7161, 'grad_norm': 2.040465831756592, 'learning_rate': 4.618317192541557e-05, 'epoch': 0.02}

 22%|██▏       | 2193/10000 [3:44:55<23:46:01, 10.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9485877156257629, dino_loss: 0.65625, depth_loss: 0.06114432215690613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0269858837127686, dino_loss: 0.6875, depth_loss: 0.06705386936664581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2194/10000 [3:45:07<24:21:51, 11.24s/it]
                                                         
{'loss': 1.7238, 'grad_norm': 2.4470021724700928, 'learning_rate': 4.617878021198006e-05, 'epoch': 0.02}

 22%|██▏       | 2194/10000 [3:45:07<24:21:51, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0938829183578491, dino_loss: 0.75, depth_loss: 0.0627453625202179, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9745439291000366, dino_loss: 0.73046875, depth_loss: 0.07994350790977478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2195/10000 [3:45:18<24:07:25, 11.13s/it]
                                                         
{'loss': 1.8459, 'grad_norm': 1.313166856765747, 'learning_rate': 4.617438618246498e-05, 'epoch': 0.02}

 22%|██▏       | 2195/10000 [3:45:18<24:07:25, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0737428665161133, dino_loss: 0.7734375, depth_loss: 0.07604485750198364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.090191125869751, dino_loss: 0.71484375, depth_loss: 0.06139989197254181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2196/10000 [3:45:29<24:06:18, 11.12s/it]
                                                         
{'loss': 1.8949, 'grad_norm': 1.6557954549789429, 'learning_rate': 4.616998983735087e-05, 'epoch': 0.02}

 22%|██▏       | 2196/10000 [3:45:29<24:06:18, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9469818472862244, dino_loss: 0.69921875, depth_loss: 0.05351822450757027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0034407377243042, dino_loss: 0.734375, depth_loss: 0.07294512540102005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2197/10000 [3:45:41<24:18:32, 11.22s/it]
                                                         
{'loss': 1.7553, 'grad_norm': 0.997327446937561, 'learning_rate': 4.616559117711849e-05, 'epoch': 0.02}

 22%|██▏       | 2197/10000 [3:45:41<24:18:32, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9301800727844238, dino_loss: 0.69921875, depth_loss: 0.06306321918964386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9014282822608948, dino_loss: 0.64453125, depth_loss: 0.051617108285427094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2198/10000 [3:45:52<24:26:25, 11.28s/it]
                                                         
{'loss': 1.6451, 'grad_norm': 1.4596160650253296, 'learning_rate': 4.6161190202248897e-05, 'epoch': 0.02}

 22%|██▏       | 2198/10000 [3:45:52<24:26:25, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9849944710731506, dino_loss: 0.7421875, depth_loss: 0.07163432985544205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 1.0353329181671143, dino_loss: 0.71875, depth_loss: 0.06624764949083328, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2199/10000 [3:46:03<24:20:30, 11.23s/it]
                                                         
{'loss': 1.8097, 'grad_norm': 4.417002201080322, 'learning_rate': 4.615678691322335e-05, 'epoch': 0.02}

 22%|██▏       | 2199/10000 [3:46:03<24:20:30, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9733437299728394, dino_loss: 0.71875, depth_loss: 0.06448294222354889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.018176794052124, dino_loss: 0.68359375, depth_loss: 0.052034735679626465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2200/10000 [3:46:14<24:27:44, 11.29s/it]
                                                         
{'loss': 1.7553, 'grad_norm': 2.3208796977996826, 'learning_rate': 4.6152381310523387e-05, 'epoch': 0.02}

 22%|██▏       | 2200/10000 [3:46:14<24:27:44, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.128071665763855, dino_loss: 0.6875, depth_loss: 0.07967202365398407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0760622024536133, dino_loss: 0.75, depth_loss: 0.06334541738033295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2201/10000 [3:46:25<24:00:19, 11.08s/it]
                                                         
{'loss': 1.8924, 'grad_norm': 2.070594072341919, 'learning_rate': 4.614797339463082e-05, 'epoch': 0.02}

 22%|██▏       | 2201/10000 [3:46:25<24:00:19, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9726846218109131, dino_loss: 0.69921875, depth_loss: 0.06820395588874817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8768711090087891, dino_loss: 0.6015625, depth_loss: 0.04104477912187576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2202/10000 [3:46:37<24:17:34, 11.22s/it]
                                                         
{'loss': 1.6299, 'grad_norm': 2.2145535945892334, 'learning_rate': 4.614356316602766e-05, 'epoch': 0.02}

 22%|██▏       | 2202/10000 [3:46:37<24:17:34, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9207216501235962, dino_loss: 0.6796875, depth_loss: 0.06590095907449722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9102882146835327, dino_loss: 0.62890625, depth_loss: 0.06481435149908066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2203/10000 [3:46:48<24:24:39, 11.27s/it]
                                                         
{'loss': 1.6354, 'grad_norm': 0.8703266978263855, 'learning_rate': 4.6139150625196235e-05, 'epoch': 0.02}

 22%|██▏       | 2203/10000 [3:46:48<24:24:39, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9529971480369568, dino_loss: 0.6796875, depth_loss: 0.05848164111375809, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.011159896850586, dino_loss: 0.6875, depth_loss: 0.05984152853488922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2204/10000 [3:46:59<24:12:29, 11.18s/it]
                                                         
{'loss': 1.7249, 'grad_norm': 1.852177619934082, 'learning_rate': 4.613473577261908e-05, 'epoch': 0.02}

 22%|██▏       | 2204/10000 [3:46:59<24:12:29, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0903998613357544, dino_loss: 0.734375, depth_loss: 0.0752982646226883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8917477130889893, dino_loss: 0.6796875, depth_loss: 0.056254733353853226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2205/10000 [3:47:11<24:46:32, 11.44s/it]
                                                         
{'loss': 1.764, 'grad_norm': 1.9959479570388794, 'learning_rate': 4.6130318608778995e-05, 'epoch': 0.02}

 22%|██▏       | 2205/10000 [3:47:11<24:46:32, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9847133755683899, dino_loss: 0.734375, depth_loss: 0.0820513442158699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.01402747631073, dino_loss: 0.65625, depth_loss: 0.07055455446243286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2206/10000 [3:47:22<24:44:11, 11.43s/it]
                                                         
{'loss': 1.7711, 'grad_norm': 1.1844133138656616, 'learning_rate': 4.612589913415904e-05, 'epoch': 0.02}

 22%|██▏       | 2206/10000 [3:47:22<24:44:11, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9981513619422913, dino_loss: 0.6796875, depth_loss: 0.07173909991979599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.113897681236267, dino_loss: 0.72265625, depth_loss: 0.051712680608034134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2207/10000 [3:47:33<24:27:46, 11.30s/it]
                                                         
{'loss': 1.819, 'grad_norm': 2.788403034210205, 'learning_rate': 4.6121477349242505e-05, 'epoch': 0.02}

 22%|██▏       | 2207/10000 [3:47:33<24:27:46, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0060738325119019, dino_loss: 0.75390625, depth_loss: 0.07564844191074371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9107359647750854, dino_loss: 0.66796875, depth_loss: 0.06331545859575272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2208/10000 [3:47:44<24:16:32, 11.22s/it]
                                                         
{'loss': 1.7389, 'grad_norm': 1.5281730890274048, 'learning_rate': 4.611705325451297e-05, 'epoch': 0.02}

 22%|██▏       | 2208/10000 [3:47:44<24:16:32, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8459463119506836, dino_loss: 0.65234375, depth_loss: 0.05843951180577278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0122041702270508, dino_loss: 0.69140625, depth_loss: 0.06361304223537445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2209/10000 [3:47:56<24:35:47, 11.37s/it]
                                                         
{'loss': 1.662, 'grad_norm': 2.2549779415130615, 'learning_rate': 4.611262685045424e-05, 'epoch': 0.02}

 22%|██▏       | 2209/10000 [3:47:56<24:35:47, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0211420059204102, dino_loss: 0.72265625, depth_loss: 0.06310583651065826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.030694842338562, dino_loss: 0.67578125, depth_loss: 0.07885990291833878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2210/10000 [3:48:07<24:22:31, 11.26s/it]
                                                         
{'loss': 1.7962, 'grad_norm': 1.302918791770935, 'learning_rate': 4.610819813755038e-05, 'epoch': 0.02}

 22%|██▏       | 2210/10000 [3:48:07<24:22:31, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9818127155303955, dino_loss: 0.69140625, depth_loss: 0.08027038723230362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9619878530502319, dino_loss: 0.70703125, depth_loss: 0.07036233693361282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2211/10000 [3:48:18<24:19:39, 11.24s/it]
                                                         
{'loss': 1.7465, 'grad_norm': 1.6850008964538574, 'learning_rate': 4.6103767116285705e-05, 'epoch': 0.02}

 22%|██▏       | 2211/10000 [3:48:18<24:19:39, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.148195743560791, dino_loss: 0.78515625, depth_loss: 0.06722915172576904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0672231912612915, dino_loss: 0.72265625, depth_loss: 0.08095662295818329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2212/10000 [3:48:29<24:08:38, 11.16s/it]
                                                         
{'loss': 1.9358, 'grad_norm': 1.9856219291687012, 'learning_rate': 4.6099333787144795e-05, 'epoch': 0.02}

 22%|██▏       | 2212/10000 [3:48:29<24:08:38, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0449187755584717, dino_loss: 0.71484375, depth_loss: 0.08833292871713638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1288853883743286, dino_loss: 0.70703125, depth_loss: 0.06829977035522461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2213/10000 [3:48:40<23:51:07, 11.03s/it]
                                                         
{'loss': 1.8762, 'grad_norm': 2.6390187740325928, 'learning_rate': 4.609489815061245e-05, 'epoch': 0.02}

 22%|██▏       | 2213/10000 [3:48:40<23:51:07, 11.03s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 1.0664479732513428, dino_loss: 0.66796875, depth_loss: 0.07035201787948608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9941116571426392, dino_loss: 0.63671875, depth_loss: 0.04925268143415451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2214/10000 [3:48:51<23:52:26, 11.04s/it]
                                                         
{'loss': 1.7425, 'grad_norm': 2.3462400436401367, 'learning_rate': 4.6090460207173775e-05, 'epoch': 0.02}

 22%|██▏       | 2214/10000 [3:48:51<23:52:26, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0405733585357666, dino_loss: 0.69140625, depth_loss: 0.0703774020075798, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.067829966545105, dino_loss: 0.73828125, depth_loss: 0.07352840900421143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2215/10000 [3:49:02<23:43:55, 10.97s/it]
                                                         
{'loss': 1.8411, 'grad_norm': 2.059737205505371, 'learning_rate': 4.608601995731407e-05, 'epoch': 0.02}

 22%|██▏       | 2215/10000 [3:49:02<23:43:55, 10.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.890173077583313, dino_loss: 0.68359375, depth_loss: 0.05533405393362045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9262571334838867, dino_loss: 0.7265625, depth_loss: 0.07077913731336594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2216/10000 [3:49:13<23:47:31, 11.00s/it]
                                                         
{'loss': 1.6764, 'grad_norm': 1.4516576528549194, 'learning_rate': 4.608157740151893e-05, 'epoch': 0.02}

 22%|██▏       | 2216/10000 [3:49:13<23:47:31, 11.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0521667003631592, dino_loss: 0.6953125, depth_loss: 0.052456121891736984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.01883065700531, dino_loss: 0.69921875, depth_loss: 0.05634206160902977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2217/10000 [3:49:24<23:55:13, 11.06s/it]
                                                         
{'loss': 1.7872, 'grad_norm': 2.2649362087249756, 'learning_rate': 4.607713254027418e-05, 'epoch': 0.02}

 22%|██▏       | 2217/10000 [3:49:24<23:55:13, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8910231590270996, dino_loss: 0.7109375, depth_loss: 0.06745985150337219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0265073776245117, dino_loss: 0.6796875, depth_loss: 0.07198359817266464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2218/10000 [3:49:35<23:52:08, 11.04s/it]
                                                         
{'loss': 1.7239, 'grad_norm': 2.1351478099823, 'learning_rate': 4.607268537406591e-05, 'epoch': 0.02}

 22%|██▏       | 2218/10000 [3:49:35<23:52:08, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1146396398544312, dino_loss: 0.73828125, depth_loss: 0.10653942823410034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9895066022872925, dino_loss: 0.65234375, depth_loss: 0.06148940697312355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2219/10000 [3:49:46<23:54:32, 11.06s/it]
                                                         
{'loss': 1.8314, 'grad_norm': 3.15726637840271, 'learning_rate': 4.606823590338044e-05, 'epoch': 0.02}

 22%|██▏       | 2219/10000 [3:49:46<23:54:32, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0708022117614746, dino_loss: 0.76171875, depth_loss: 0.10506361722946167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9413543343544006, dino_loss: 0.6796875, depth_loss: 0.06518867611885071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2220/10000 [3:49:58<24:21:49, 11.27s/it]
                                                         
{'loss': 1.812, 'grad_norm': 4.243987083435059, 'learning_rate': 4.6063784128704367e-05, 'epoch': 0.02}

 22%|██▏       | 2220/10000 [3:49:58<24:21:49, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8662226796150208, dino_loss: 0.65625, depth_loss: 0.07097671926021576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0162659883499146, dino_loss: 0.7109375, depth_loss: 0.07285688072443008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2221/10000 [3:50:10<24:31:56, 11.35s/it]
                                                         
{'loss': 1.6968, 'grad_norm': 1.5010563135147095, 'learning_rate': 4.605933005052454e-05, 'epoch': 0.02}

 22%|██▏       | 2221/10000 [3:50:10<24:31:56, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0050612688064575, dino_loss: 0.69921875, depth_loss: 0.06928908079862595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9508660435676575, dino_loss: 0.69921875, depth_loss: 0.06633251905441284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2222/10000 [3:50:21<24:40:20, 11.42s/it]
                                                         
{'loss': 1.7451, 'grad_norm': 2.5509402751922607, 'learning_rate': 4.6054873669328035e-05, 'epoch': 0.02}

 22%|██▏       | 2222/10000 [3:50:21<24:40:20, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0142382383346558, dino_loss: 0.703125, depth_loss: 0.0664668008685112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8974549770355225, dino_loss: 0.7265625, depth_loss: 0.07448723167181015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2223/10000 [3:50:33<24:35:51, 11.39s/it]
                                                         
{'loss': 1.7412, 'grad_norm': 1.6732513904571533, 'learning_rate': 4.60504149856022e-05, 'epoch': 0.02}

 22%|██▏       | 2223/10000 [3:50:33<24:35:51, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.884735107421875, dino_loss: 0.765625, depth_loss: 0.06650428473949432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9739973545074463, dino_loss: 0.6875, depth_loss: 0.07315541058778763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2224/10000 [3:50:44<24:20:29, 11.27s/it]
                                                         
{'loss': 1.7258, 'grad_norm': 1.4404628276824951, 'learning_rate': 4.604595399983463e-05, 'epoch': 0.02}

 22%|██▏       | 2224/10000 [3:50:44<24:20:29, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9492877125740051, dino_loss: 0.6953125, depth_loss: 0.06767094880342484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8931254744529724, dino_loss: 0.75390625, depth_loss: 0.0686020627617836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2225/10000 [3:50:55<24:15:44, 11.23s/it]
                                                         
{'loss': 1.714, 'grad_norm': 1.3979803323745728, 'learning_rate': 4.604149071251318e-05, 'epoch': 0.02}

 22%|██▏       | 2225/10000 [3:50:55<24:15:44, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0188789367675781, dino_loss: 0.69921875, depth_loss: 0.0667325034737587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9523863792419434, dino_loss: 0.70703125, depth_loss: 0.06753414124250412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2226/10000 [3:51:06<24:21:41, 11.28s/it]
                                                         
{'loss': 1.7559, 'grad_norm': 1.3739867210388184, 'learning_rate': 4.603702512412593e-05, 'epoch': 0.02}

 22%|██▏       | 2226/10000 [3:51:06<24:21:41, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.022433876991272, dino_loss: 0.68359375, depth_loss: 0.05925529822707176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9926387071609497, dino_loss: 0.65234375, depth_loss: 0.05431479960680008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2227/10000 [3:51:17<24:14:49, 11.23s/it]
                                                         
{'loss': 1.7324, 'grad_norm': 1.630112648010254, 'learning_rate': 4.6032557235161255e-05, 'epoch': 0.02}

 22%|██▏       | 2227/10000 [3:51:17<24:14:49, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0279979705810547, dino_loss: 0.70703125, depth_loss: 0.09411286562681198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0005942583084106, dino_loss: 0.671875, depth_loss: 0.07785513997077942, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2228/10000 [3:51:29<24:18:51, 11.26s/it]
                                                         
{'loss': 1.7898, 'grad_norm': 1.3827682733535767, 'learning_rate': 4.602808704610773e-05, 'epoch': 0.02}

 22%|██▏       | 2228/10000 [3:51:29<24:18:51, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.924152135848999, dino_loss: 0.69140625, depth_loss: 0.046119000762701035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0547897815704346, dino_loss: 0.72265625, depth_loss: 0.07003509253263474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2229/10000 [3:51:39<23:58:19, 11.11s/it]
                                                         
{'loss': 1.7546, 'grad_norm': 1.1498510837554932, 'learning_rate': 4.602361455745423e-05, 'epoch': 0.02}

 22%|██▏       | 2229/10000 [3:51:39<23:58:19, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9476046562194824, dino_loss: 0.71484375, depth_loss: 0.07047873735427856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1297476291656494, dino_loss: 0.6953125, depth_loss: 0.06000020354986191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2230/10000 [3:51:50<23:57:11, 11.10s/it]
                                                         
{'loss': 1.809, 'grad_norm': 2.1381092071533203, 'learning_rate': 4.601913976968985e-05, 'epoch': 0.02}

 22%|██▏       | 2230/10000 [3:51:50<23:57:11, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0089443922042847, dino_loss: 0.68359375, depth_loss: 0.05490776151418686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0312517881393433, dino_loss: 0.73046875, depth_loss: 0.06723179668188095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2231/10000 [3:52:02<24:02:28, 11.14s/it]
                                                         
{'loss': 1.7882, 'grad_norm': 3.69057035446167, 'learning_rate': 4.6014662683303946e-05, 'epoch': 0.02}

 22%|██▏       | 2231/10000 [3:52:02<24:02:28, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0372254848480225, dino_loss: 0.75390625, depth_loss: 0.07013128697872162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8603602647781372, dino_loss: 0.6015625, depth_loss: 0.03931180760264397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2232/10000 [3:52:13<23:57:45, 11.11s/it]
                                                         
{'loss': 1.6813, 'grad_norm': 1.9872729778289795, 'learning_rate': 4.601018329878611e-05, 'epoch': 0.02}

 22%|██▏       | 2232/10000 [3:52:13<23:57:45, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0879771709442139, dino_loss: 0.703125, depth_loss: 0.05584225431084633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9526972770690918, dino_loss: 0.70703125, depth_loss: 0.08124467730522156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2233/10000 [3:52:24<23:54:51, 11.08s/it]
                                                         
{'loss': 1.794, 'grad_norm': 1.8036212921142578, 'learning_rate': 4.600570161662624e-05, 'epoch': 0.02}

 22%|██▏       | 2233/10000 [3:52:24<23:54:51, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8452725410461426, dino_loss: 0.63671875, depth_loss: 0.07118944823741913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9672618508338928, dino_loss: 0.71484375, depth_loss: 0.07867959141731262, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2234/10000 [3:52:35<23:58:42, 11.12s/it]
                                                         
{'loss': 1.6571, 'grad_norm': 1.6398576498031616, 'learning_rate': 4.600121763731441e-05, 'epoch': 0.02}

 22%|██▏       | 2234/10000 [3:52:35<23:58:42, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1491656303405762, dino_loss: 0.7421875, depth_loss: 0.059213340282440186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.125104308128357, dino_loss: 0.69921875, depth_loss: 0.057918302714824677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2235/10000 [3:52:46<23:54:31, 11.08s/it]
                                                         
{'loss': 1.9164, 'grad_norm': 2.9632186889648438, 'learning_rate': 4.5996731361340994e-05, 'epoch': 0.02}

 22%|██▏       | 2235/10000 [3:52:46<23:54:31, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9506128430366516, dino_loss: 0.67578125, depth_loss: 0.07105857878923416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 1.0492525100708008, dino_loss: 0.6953125, depth_loss: 0.05104079097509384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2236/10000 [3:52:57<24:06:20, 11.18s/it]
                                                         
{'loss': 1.7466, 'grad_norm': 3.310476779937744, 'learning_rate': 4.599224278919661e-05, 'epoch': 0.02}

 22%|██▏       | 2236/10000 [3:52:57<24:06:20, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0150898694992065, dino_loss: 0.72265625, depth_loss: 0.085060253739357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9579426050186157, dino_loss: 0.671875, depth_loss: 0.08270598202943802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2237/10000 [3:53:08<23:46:24, 11.02s/it]
                                                         
{'loss': 1.7677, 'grad_norm': 1.895015835762024, 'learning_rate': 4.5987751921372116e-05, 'epoch': 0.02}

 22%|██▏       | 2237/10000 [3:53:08<23:46:24, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9160245060920715, dino_loss: 0.6953125, depth_loss: 0.05958137661218643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0406173467636108, dino_loss: 0.67578125, depth_loss: 0.06643402576446533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2238/10000 [3:53:19<23:50:18, 11.06s/it]
                                                         
{'loss': 1.727, 'grad_norm': 1.7821534872055054, 'learning_rate': 4.598325875835862e-05, 'epoch': 0.02}

 22%|██▏       | 2238/10000 [3:53:19<23:50:18, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0580554008483887, dino_loss: 0.73828125, depth_loss: 0.0728481262922287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0866502523422241, dino_loss: 0.70703125, depth_loss: 0.060089170932769775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2239/10000 [3:53:31<24:13:58, 11.24s/it]
                                                         
{'loss': 1.8615, 'grad_norm': 2.46008563041687, 'learning_rate': 4.59787633006475e-05, 'epoch': 0.02}

 22%|██▏       | 2239/10000 [3:53:31<24:13:58, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9294416308403015, dino_loss: 0.65234375, depth_loss: 0.05436424911022186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0299291610717773, dino_loss: 0.75, depth_loss: 0.06930330395698547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2240/10000 [3:53:42<23:59:26, 11.13s/it]
                                                         
{'loss': 1.7429, 'grad_norm': 1.7851299047470093, 'learning_rate': 4.597426554873037e-05, 'epoch': 0.02}

 22%|██▏       | 2240/10000 [3:53:42<23:59:26, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.059767723083496, dino_loss: 0.7734375, depth_loss: 0.06602706015110016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9921320676803589, dino_loss: 0.6640625, depth_loss: 0.05728728324174881, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2241/10000 [3:53:52<23:27:36, 10.88s/it]
                                                         
{'loss': 1.8065, 'grad_norm': 1.4020650386810303, 'learning_rate': 4.596976550309908e-05, 'epoch': 0.02}

 22%|██▏       | 2241/10000 [3:53:52<23:27:36, 10.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9763672947883606, dino_loss: 0.74609375, depth_loss: 0.08478574454784393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9259366393089294, dino_loss: 0.76953125, depth_loss: 0.07069870829582214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2242/10000 [3:54:03<23:22:03, 10.84s/it]
                                                         
{'loss': 1.7868, 'grad_norm': 1.3458341360092163, 'learning_rate': 4.596526316424578e-05, 'epoch': 0.02}

 22%|██▏       | 2242/10000 [3:54:03<23:22:03, 10.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8590599894523621, dino_loss: 0.73828125, depth_loss: 0.05902907997369766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9737897515296936, dino_loss: 0.79296875, depth_loss: 0.07968144863843918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2243/10000 [3:54:14<23:47:26, 11.04s/it]
                                                         
{'loss': 1.7515, 'grad_norm': 2.1337568759918213, 'learning_rate': 4.596075853266281e-05, 'epoch': 0.02}

 22%|██▏       | 2243/10000 [3:54:14<23:47:26, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9612805843353271, dino_loss: 0.7109375, depth_loss: 0.06318105012178421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9294032454490662, dino_loss: 0.64453125, depth_loss: 0.05651366338133812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2244/10000 [3:54:25<23:54:44, 11.10s/it]
                                                         
{'loss': 1.6832, 'grad_norm': 1.321604609489441, 'learning_rate': 4.59562516088428e-05, 'epoch': 0.02}

 22%|██▏       | 2244/10000 [3:54:25<23:54:44, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1548960208892822, dino_loss: 0.75, depth_loss: 0.07052941620349884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9961245059967041, dino_loss: 0.68359375, depth_loss: 0.06603211909532547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2245/10000 [3:54:36<23:55:52, 11.11s/it]
                                                         
{'loss': 1.8606, 'grad_norm': 1.237625002861023, 'learning_rate': 4.595174239327862e-05, 'epoch': 0.02}

 22%|██▏       | 2245/10000 [3:54:37<23:55:52, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9584912061691284, dino_loss: 0.6875, depth_loss: 0.0524611696600914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1077710390090942, dino_loss: 0.72265625, depth_loss: 0.06876792013645172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2246/10000 [3:54:48<23:59:49, 11.14s/it]
                                                         
{'loss': 1.7989, 'grad_norm': 2.3070228099823, 'learning_rate': 4.5947230886463396e-05, 'epoch': 0.02}

 22%|██▏       | 2246/10000 [3:54:48<23:59:49, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9464294910430908, dino_loss: 0.66796875, depth_loss: 0.05809503421187401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8772637248039246, dino_loss: 0.66015625, depth_loss: 0.06720395386219025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2247/10000 [3:55:00<24:25:32, 11.34s/it]
                                                         
{'loss': 1.6386, 'grad_norm': 1.9083362817764282, 'learning_rate': 4.59427170888905e-05, 'epoch': 0.02}

 22%|██▏       | 2247/10000 [3:55:00<24:25:32, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0357046127319336, dino_loss: 0.69140625, depth_loss: 0.05746512860059738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0053640604019165, dino_loss: 0.703125, depth_loss: 0.06267230957746506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2248/10000 [3:55:11<24:18:09, 11.29s/it]
                                                         
{'loss': 1.7779, 'grad_norm': 2.1421046257019043, 'learning_rate': 4.593820100105355e-05, 'epoch': 0.02}

 22%|██▏       | 2248/10000 [3:55:11<24:18:09, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8784441351890564, dino_loss: 0.6953125, depth_loss: 0.05687657743692398, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0989160537719727, dino_loss: 0.75390625, depth_loss: 0.07518553733825684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▏       | 2249/10000 [3:55:22<24:05:28, 11.19s/it]
                                                         
{'loss': 1.7794, 'grad_norm': 1.4160685539245605, 'learning_rate': 4.5933682623446405e-05, 'epoch': 0.02}

 22%|██▏       | 2249/10000 [3:55:22<24:05:28, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0180187225341797, dino_loss: 0.7109375, depth_loss: 0.06512640416622162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1162109375, dino_loss: 0.71484375, depth_loss: 0.06395541876554489, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 22%|██▎       | 2250/10000 [3:55:33<23:53:10, 11.10s/it]
                                                         
{'loss': 1.8446, 'grad_norm': 1.6969027519226074, 'learning_rate': 4.592916195656322e-05, 'epoch': 0.02}

 22%|██▎       | 2250/10000 [3:55:33<23:53:10, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9763662815093994, dino_loss: 0.66796875, depth_loss: 0.05743725225329399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9092162847518921, dino_loss: 0.6875, depth_loss: 0.06051436811685562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2251/10000 [3:55:44<24:05:40, 11.19s/it]
                                                         
{'loss': 1.6796, 'grad_norm': 1.2178318500518799, 'learning_rate': 4.592463900089834e-05, 'epoch': 0.02}

 23%|██▎       | 2251/10000 [3:55:44<24:05:40, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0390547513961792, dino_loss: 0.72265625, depth_loss: 0.061710722744464874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.900884747505188, dino_loss: 0.671875, depth_loss: 0.06385298073291779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2252/10000 [3:55:55<24:03:44, 11.18s/it]
                                                         
{'loss': 1.7301, 'grad_norm': 1.339027762413025, 'learning_rate': 4.5920113756946396e-05, 'epoch': 0.02}

 23%|██▎       | 2252/10000 [3:55:55<24:03:44, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.039154052734375, dino_loss: 0.7265625, depth_loss: 0.08436049520969391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0903680324554443, dino_loss: 0.71484375, depth_loss: 0.09072808176279068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2253/10000 [3:56:07<24:18:39, 11.30s/it]
                                                         
{'loss': 1.8731, 'grad_norm': 3.8408193588256836, 'learning_rate': 4.5915586225202276e-05, 'epoch': 0.02}

 23%|██▎       | 2253/10000 [3:56:07<24:18:39, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.018061876296997, dino_loss: 0.70703125, depth_loss: 0.058695871382951736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9653981924057007, dino_loss: 0.71484375, depth_loss: 0.07059983909130096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2254/10000 [3:56:18<24:05:50, 11.20s/it]
                                                         
{'loss': 1.7674, 'grad_norm': 1.3739826679229736, 'learning_rate': 4.591105640616108e-05, 'epoch': 0.02}

 23%|██▎       | 2254/10000 [3:56:18<24:05:50, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1136474609375, dino_loss: 0.70703125, depth_loss: 0.05337889865040779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9416695833206177, dino_loss: 0.72265625, depth_loss: 0.05638023465871811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2255/10000 [3:56:28<23:43:03, 11.02s/it]
                                                         
{'loss': 1.7974, 'grad_norm': 1.8437106609344482, 'learning_rate': 4.59065243003182e-05, 'epoch': 0.02}

 23%|██▎       | 2255/10000 [3:56:28<23:43:03, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9315087199211121, dino_loss: 0.69140625, depth_loss: 0.0650811642408371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9617773294448853, dino_loss: 0.7265625, depth_loss: 0.06941324472427368, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2256/10000 [3:56:39<23:40:59, 11.01s/it]
                                                         
{'loss': 1.7229, 'grad_norm': 1.075078010559082, 'learning_rate': 4.5901989908169256e-05, 'epoch': 0.02}

 23%|██▎       | 2256/10000 [3:56:39<23:40:59, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9798660278320312, dino_loss: 0.703125, depth_loss: 0.0620000995695591, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9945301413536072, dino_loss: 0.6953125, depth_loss: 0.06905467063188553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2257/10000 [3:56:50<23:47:59, 11.07s/it]
                                                         
{'loss': 1.7521, 'grad_norm': 2.184420108795166, 'learning_rate': 4.589745323021012e-05, 'epoch': 0.02}

 23%|██▎       | 2257/10000 [3:56:50<23:47:59, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9245860576629639, dino_loss: 0.6953125, depth_loss: 0.05160505697131157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9507700204849243, dino_loss: 0.67578125, depth_loss: 0.06137675791978836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2258/10000 [3:57:01<23:47:05, 11.06s/it]
                                                         
{'loss': 1.6798, 'grad_norm': 0.967837929725647, 'learning_rate': 4.589291426693692e-05, 'epoch': 0.02}

 23%|██▎       | 2258/10000 [3:57:01<23:47:05, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0155028104782104, dino_loss: 0.75390625, depth_loss: 0.0708027109503746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9523378014564514, dino_loss: 0.74609375, depth_loss: 0.07767584174871445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2259/10000 [3:57:12<23:29:56, 10.93s/it]
                                                         
{'loss': 1.8082, 'grad_norm': 0.9452171325683594, 'learning_rate': 4.588837301884602e-05, 'epoch': 0.02}

 23%|██▎       | 2259/10000 [3:57:12<23:29:56, 10.93s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9185883402824402, dino_loss: 0.69140625, depth_loss: 0.04425036162137985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0156234502792358, dino_loss: 0.72265625, depth_loss: 0.06993819773197174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2260/10000 [3:57:23<23:37:15, 10.99s/it]
                                                         
{'loss': 1.7313, 'grad_norm': 2.0494179725646973, 'learning_rate': 4.588382948643406e-05, 'epoch': 0.02}

 23%|██▎       | 2260/10000 [3:57:23<23:37:15, 10.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.94124835729599, dino_loss: 0.6875, depth_loss: 0.06297390162944794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.384286880493164, dino_loss: 0.71875, depth_loss: 0.07141844183206558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2261/10000 [3:57:35<24:11:21, 11.25s/it]
                                                         
{'loss': 1.9332, 'grad_norm': 4.940488815307617, 'learning_rate': 4.5879283670197906e-05, 'epoch': 0.02}

 23%|██▎       | 2261/10000 [3:57:35<24:11:21, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0596905946731567, dino_loss: 0.78515625, depth_loss: 0.0978134348988533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.971651017665863, dino_loss: 0.71875, depth_loss: 0.08560793846845627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2262/10000 [3:57:46<24:07:28, 11.22s/it]
                                                         
{'loss': 1.8594, 'grad_norm': 1.5312249660491943, 'learning_rate': 4.587473557063468e-05, 'epoch': 0.02}

 23%|██▎       | 2262/10000 [3:57:46<24:07:28, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0233458280563354, dino_loss: 0.66015625, depth_loss: 0.06807252019643784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9888229370117188, dino_loss: 0.6953125, depth_loss: 0.0667906180024147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2263/10000 [3:57:57<24:01:43, 11.18s/it]
                                                         
{'loss': 1.752, 'grad_norm': 3.0739502906799316, 'learning_rate': 4.5870185188241755e-05, 'epoch': 0.02}

 23%|██▎       | 2263/10000 [3:57:57<24:01:43, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1060073375701904, dino_loss: 0.76953125, depth_loss: 0.06894026696681976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0973049402236938, dino_loss: 0.72265625, depth_loss: 0.06405851244926453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2264/10000 [3:58:08<23:52:52, 11.11s/it]
                                                         
{'loss': 1.9143, 'grad_norm': 1.1640230417251587, 'learning_rate': 4.5865632523516754e-05, 'epoch': 0.02}

 23%|██▎       | 2264/10000 [3:58:08<23:52:52, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9044234752655029, dino_loss: 0.70703125, depth_loss: 0.07835765182971954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9043532609939575, dino_loss: 0.7109375, depth_loss: 0.07183364033699036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2265/10000 [3:58:19<23:54:59, 11.13s/it]
                                                         
{'loss': 1.6885, 'grad_norm': 1.1076139211654663, 'learning_rate': 4.586107757695755e-05, 'epoch': 0.02}

 23%|██▎       | 2265/10000 [3:58:19<23:54:59, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9547127485275269, dino_loss: 0.75390625, depth_loss: 0.061546143144369125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0186594724655151, dino_loss: 0.78515625, depth_loss: 0.06360318511724472, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2266/10000 [3:58:31<24:15:35, 11.29s/it]
                                                         
{'loss': 1.8189, 'grad_norm': 2.315984010696411, 'learning_rate': 4.585652034906227e-05, 'epoch': 0.02}

 23%|██▎       | 2266/10000 [3:58:31<24:15:35, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 1.0064607858657837, dino_loss: 0.6640625, depth_loss: 0.06021144241094589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8994607329368591, dino_loss: 0.69921875, depth_loss: 0.06750740855932236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2267/10000 [3:58:42<24:16:51, 11.30s/it]
                                                         
{'loss': 1.6985, 'grad_norm': 2.4155290126800537, 'learning_rate': 4.585196084032928e-05, 'epoch': 0.02}

 23%|██▎       | 2267/10000 [3:58:42<24:16:51, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9708858728408813, dino_loss: 0.65625, depth_loss: 0.055897437036037445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.079465389251709, dino_loss: 0.71484375, depth_loss: 0.06407977640628815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2268/10000 [3:58:54<24:15:51, 11.30s/it]
                                                         
{'loss': 1.7708, 'grad_norm': 2.6599762439727783, 'learning_rate': 4.5847399051257204e-05, 'epoch': 0.02}

 23%|██▎       | 2268/10000 [3:58:54<24:15:51, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9831851720809937, dino_loss: 0.73046875, depth_loss: 0.0712004005908966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9581607580184937, dino_loss: 0.703125, depth_loss: 0.06359055638313293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2269/10000 [3:59:05<24:07:43, 11.24s/it]
                                                         
{'loss': 1.7549, 'grad_norm': 2.6259031295776367, 'learning_rate': 4.5842834982344916e-05, 'epoch': 0.02}

 23%|██▎       | 2269/10000 [3:59:05<24:07:43, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9658551216125488, dino_loss: 0.67578125, depth_loss: 0.07634462416172028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9936165809631348, dino_loss: 0.70703125, depth_loss: 0.06126949191093445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2270/10000 [3:59:16<23:52:23, 11.12s/it]
                                                         
{'loss': 1.74, 'grad_norm': 1.4755679368972778, 'learning_rate': 4.5838268634091524e-05, 'epoch': 0.02}

 23%|██▎       | 2270/10000 [3:59:16<23:52:23, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9589295387268066, dino_loss: 0.7109375, depth_loss: 0.06865574419498444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9480410218238831, dino_loss: 0.69140625, depth_loss: 0.05767789110541344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2271/10000 [3:59:27<23:45:30, 11.07s/it]
                                                         
{'loss': 1.7179, 'grad_norm': 2.2552127838134766, 'learning_rate': 4.5833700006996405e-05, 'epoch': 0.02}

 23%|██▎       | 2271/10000 [3:59:27<23:45:30, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8666992783546448, dino_loss: 0.703125, depth_loss: 0.057574618607759476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0084422826766968, dino_loss: 0.6953125, depth_loss: 0.07286598533391953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2272/10000 [3:59:38<23:43:28, 11.05s/it]
                                                         
{'loss': 1.7021, 'grad_norm': 1.7168699502944946, 'learning_rate': 4.582912910155918e-05, 'epoch': 0.02}

 23%|██▎       | 2272/10000 [3:59:38<23:43:28, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9256502389907837, dino_loss: 0.6796875, depth_loss: 0.057272158563137054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1314144134521484, dino_loss: 0.6640625, depth_loss: 0.07134558260440826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2273/10000 [3:59:49<23:49:59, 11.10s/it]
                                                         
{'loss': 1.7648, 'grad_norm': 1.9799747467041016, 'learning_rate': 4.582455591827971e-05, 'epoch': 0.02}

 23%|██▎       | 2273/10000 [3:59:49<23:49:59, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.030722975730896, dino_loss: 0.6875, depth_loss: 0.08332157135009766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0992441177368164, dino_loss: 0.72265625, depth_loss: 0.06996441632509232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2274/10000 [3:59:59<23:16:20, 10.84s/it]
                                                         
{'loss': 1.8468, 'grad_norm': 0.8853166699409485, 'learning_rate': 4.581998045765812e-05, 'epoch': 0.02}

 23%|██▎       | 2274/10000 [3:59:59<23:16:20, 10.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9464113116264343, dino_loss: 0.71875, depth_loss: 0.07774829119443893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9946250915527344, dino_loss: 0.6796875, depth_loss: 0.056967392563819885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2275/10000 [4:00:10<23:11:52, 10.81s/it]
                                                         
{'loss': 1.7372, 'grad_norm': 2.712841749191284, 'learning_rate': 4.581540272019476e-05, 'epoch': 0.02}

 23%|██▎       | 2275/10000 [4:00:10<23:11:52, 10.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9836806058883667, dino_loss: 0.68359375, depth_loss: 0.06684625148773193, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8243588209152222, dino_loss: 0.70703125, depth_loss: 0.06009932607412338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2276/10000 [4:00:21<23:31:44, 10.97s/it]
                                                         
{'loss': 1.6629, 'grad_norm': 1.6172630786895752, 'learning_rate': 4.5810822706390254e-05, 'epoch': 0.02}

 23%|██▎       | 2276/10000 [4:00:21<23:31:44, 10.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0686910152435303, dino_loss: 0.69140625, depth_loss: 0.06257110834121704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8058052062988281, dino_loss: 0.734375, depth_loss: 0.08395853638648987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2277/10000 [4:00:32<23:28:14, 10.94s/it]
                                                         
{'loss': 1.7234, 'grad_norm': 1.6308058500289917, 'learning_rate': 4.580624041674547e-05, 'epoch': 0.02}

 23%|██▎       | 2277/10000 [4:00:32<23:28:14, 10.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0511608123779297, dino_loss: 0.69921875, depth_loss: 0.07220630347728729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9968299269676208, dino_loss: 0.7109375, depth_loss: 0.0712750107049942, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2278/10000 [4:00:43<23:25:50, 10.92s/it]
                                                         
{'loss': 1.8009, 'grad_norm': 2.055882692337036, 'learning_rate': 4.580165585176152e-05, 'epoch': 0.02}

 23%|██▎       | 2278/10000 [4:00:43<23:25:50, 10.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0740164518356323, dino_loss: 0.71484375, depth_loss: 0.07307445257902145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9179874658584595, dino_loss: 0.6484375, depth_loss: 0.0524526946246624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2279/10000 [4:00:54<23:33:57, 10.99s/it]
                                                         
{'loss': 1.7405, 'grad_norm': 2.265346050262451, 'learning_rate': 4.5797069011939754e-05, 'epoch': 0.02}

 23%|██▎       | 2279/10000 [4:00:54<23:33:57, 10.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.057884931564331, dino_loss: 0.703125, depth_loss: 0.05649565905332565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0346804857254028, dino_loss: 0.71875, depth_loss: 0.06721089035272598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2280/10000 [4:01:05<23:43:15, 11.06s/it]
                                                         
{'loss': 1.8192, 'grad_norm': 1.9064559936523438, 'learning_rate': 4.579247989778179e-05, 'epoch': 0.02}

 23%|██▎       | 2280/10000 [4:01:05<23:43:15, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0093894004821777, dino_loss: 0.734375, depth_loss: 0.06812216341495514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9281101822853088, dino_loss: 0.69140625, depth_loss: 0.051443688571453094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2281/10000 [4:01:17<23:59:28, 11.19s/it]
                                                         
{'loss': 1.7415, 'grad_norm': 2.034872531890869, 'learning_rate': 4.5787888509789486e-05, 'epoch': 0.02}

 23%|██▎       | 2281/10000 [4:01:17<23:59:28, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0709471702575684, dino_loss: 0.71875, depth_loss: 0.06878554075956345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0032880306243896, dino_loss: 0.72265625, depth_loss: 0.07211600244045258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2282/10000 [4:01:28<24:00:15, 11.20s/it]
                                                         
{'loss': 1.8283, 'grad_norm': 2.2891037464141846, 'learning_rate': 4.578329484846495e-05, 'epoch': 0.02}

 23%|██▎       | 2282/10000 [4:01:28<24:00:15, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0340031385421753, dino_loss: 0.734375, depth_loss: 0.0609452947974205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9255865216255188, dino_loss: 0.73046875, depth_loss: 0.059768859297037125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2283/10000 [4:01:40<24:12:20, 11.29s/it]
                                                         
{'loss': 1.7726, 'grad_norm': 1.886886715888977, 'learning_rate': 4.5778698914310535e-05, 'epoch': 0.02}

 23%|██▎       | 2283/10000 [4:01:40<24:12:20, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0067487955093384, dino_loss: 0.70703125, depth_loss: 0.09044870734214783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0222336053848267, dino_loss: 0.734375, depth_loss: 0.06296548992395401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2284/10000 [4:01:51<24:04:56, 11.24s/it]
                                                         
{'loss': 1.8119, 'grad_norm': 1.4077640771865845, 'learning_rate': 4.577410070782885e-05, 'epoch': 0.02}

 23%|██▎       | 2284/10000 [4:01:51<24:04:56, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9340965151786804, dino_loss: 0.73828125, depth_loss: 0.061051223427057266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8626101016998291, dino_loss: 0.63671875, depth_loss: 0.066353939473629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2285/10000 [4:02:03<24:34:13, 11.47s/it]
                                                         
{'loss': 1.6496, 'grad_norm': 2.7739877700805664, 'learning_rate': 4.576950022952274e-05, 'epoch': 0.02}

 23%|██▎       | 2285/10000 [4:02:03<24:34:13, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.9727472066879272, dino_loss: 0.7109375, depth_loss: 0.0620901957154274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9319508075714111, dino_loss: 0.734375, depth_loss: 0.07184502482414246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2286/10000 [4:02:13<24:03:39, 11.23s/it]
                                                         
{'loss': 1.742, 'grad_norm': 3.223618268966675, 'learning_rate': 4.5764897479895317e-05, 'epoch': 0.02}

 23%|██▎       | 2286/10000 [4:02:13<24:03:39, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9212193489074707, dino_loss: 0.7265625, depth_loss: 0.05778960511088371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0443332195281982, dino_loss: 0.75390625, depth_loss: 0.06861894577741623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2287/10000 [4:02:25<24:12:58, 11.30s/it]
                                                         
{'loss': 1.7863, 'grad_norm': 3.3934900760650635, 'learning_rate': 4.576029245944993e-05, 'epoch': 0.02}

 23%|██▎       | 2287/10000 [4:02:25<24:12:58, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9983193874359131, dino_loss: 0.7109375, depth_loss: 0.06988372653722763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9069954752922058, dino_loss: 0.6875, depth_loss: 0.05123951658606529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2288/10000 [4:02:36<24:13:30, 11.31s/it]
                                                         
{'loss': 1.7125, 'grad_norm': 1.8958532810211182, 'learning_rate': 4.575568516869016e-05, 'epoch': 0.02}

 23%|██▎       | 2288/10000 [4:02:36<24:13:30, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9125765562057495, dino_loss: 0.71484375, depth_loss: 0.05106627941131592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9622480869293213, dino_loss: 0.7421875, depth_loss: 0.07888773828744888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2289/10000 [4:02:48<24:20:40, 11.37s/it]
                                                         
{'loss': 1.7309, 'grad_norm': 2.368180990219116, 'learning_rate': 4.575107560811987e-05, 'epoch': 0.02}

 23%|██▎       | 2289/10000 [4:02:48<24:20:40, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.07290780544281, dino_loss: 0.71484375, depth_loss: 0.07268976420164108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0164692401885986, dino_loss: 0.703125, depth_loss: 0.06366753578186035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2290/10000 [4:02:58<23:59:57, 11.21s/it]
                                                         
{'loss': 1.8219, 'grad_norm': 1.763116478919983, 'learning_rate': 4.574646377824315e-05, 'epoch': 0.02}

 23%|██▎       | 2290/10000 [4:02:58<23:59:57, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.141095757484436, dino_loss: 0.72265625, depth_loss: 0.06232178211212158, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0090034008026123, dino_loss: 0.66796875, depth_loss: 0.06837700307369232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2291/10000 [4:03:10<24:05:22, 11.25s/it]
                                                         
{'loss': 1.8357, 'grad_norm': 1.6222342252731323, 'learning_rate': 4.574184967956434e-05, 'epoch': 0.02}

 23%|██▎       | 2291/10000 [4:03:10<24:05:22, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8295491337776184, dino_loss: 0.71875, depth_loss: 0.06954149156808853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8772381544113159, dino_loss: 0.71484375, depth_loss: 0.05631425604224205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2292/10000 [4:03:21<24:04:31, 11.24s/it]
                                                         
{'loss': 1.6332, 'grad_norm': 1.6685752868652344, 'learning_rate': 4.573723331258804e-05, 'epoch': 0.02}

 23%|██▎       | 2292/10000 [4:03:21<24:04:31, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0704153776168823, dino_loss: 0.68359375, depth_loss: 0.0654032751917839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9978307485580444, dino_loss: 0.65625, depth_loss: 0.06410994380712509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2293/10000 [4:03:32<24:11:54, 11.30s/it]
                                                         
{'loss': 1.7689, 'grad_norm': 2.48173451423645, 'learning_rate': 4.573261467781908e-05, 'epoch': 0.02}

 23%|██▎       | 2293/10000 [4:03:32<24:11:54, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0086750984191895, dino_loss: 0.703125, depth_loss: 0.05906561389565468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9873377680778503, dino_loss: 0.65234375, depth_loss: 0.05907381698489189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2294/10000 [4:03:44<24:11:44, 11.30s/it]
                                                         
{'loss': 1.7349, 'grad_norm': 3.7202978134155273, 'learning_rate': 4.572799377576255e-05, 'epoch': 0.02}

 23%|██▎       | 2294/10000 [4:03:44<24:11:44, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0041793584823608, dino_loss: 0.73828125, depth_loss: 0.09125389158725739, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8584066033363342, dino_loss: 0.6875, depth_loss: 0.05386742576956749, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2295/10000 [4:03:55<24:16:41, 11.34s/it]
                                                         
{'loss': 1.7168, 'grad_norm': 1.170435905456543, 'learning_rate': 4.572337060692379e-05, 'epoch': 0.02}

 23%|██▎       | 2295/10000 [4:03:55<24:16:41, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9818934202194214, dino_loss: 0.66796875, depth_loss: 0.058361027389764786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0762224197387695, dino_loss: 0.71484375, depth_loss: 0.07874741405248642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2296/10000 [4:04:06<23:54:13, 11.17s/it]
                                                         
{'loss': 1.7891, 'grad_norm': 4.0131516456604, 'learning_rate': 4.571874517180837e-05, 'epoch': 0.02}

 23%|██▎       | 2296/10000 [4:04:06<23:54:13, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9748830795288086, dino_loss: 0.6875, depth_loss: 0.06791073083877563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9500740766525269, dino_loss: 0.6875, depth_loss: 0.058613814413547516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2297/10000 [4:04:17<24:05:51, 11.26s/it]
                                                         
{'loss': 1.7133, 'grad_norm': 2.1273741722106934, 'learning_rate': 4.571411747092213e-05, 'epoch': 0.02}

 23%|██▎       | 2297/10000 [4:04:17<24:05:51, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1289300918579102, dino_loss: 0.75390625, depth_loss: 0.07130663841962814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0593845844268799, dino_loss: 0.71875, depth_loss: 0.08610305190086365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2298/10000 [4:04:28<23:50:06, 11.14s/it]
                                                         
{'loss': 1.9092, 'grad_norm': 2.4282209873199463, 'learning_rate': 4.570948750477114e-05, 'epoch': 0.02}

 23%|██▎       | 2298/10000 [4:04:28<23:50:06, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9173349142074585, dino_loss: 0.70703125, depth_loss: 0.06615090370178223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9981716871261597, dino_loss: 0.7109375, depth_loss: 0.07411010563373566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2299/10000 [4:04:40<23:55:29, 11.18s/it]
                                                         
{'loss': 1.7369, 'grad_norm': 3.3014655113220215, 'learning_rate': 4.5704855273861744e-05, 'epoch': 0.02}

 23%|██▎       | 2299/10000 [4:04:40<23:55:29, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9063984155654907, dino_loss: 0.671875, depth_loss: 0.05698448047041893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9473221302032471, dino_loss: 0.7265625, depth_loss: 0.07435523718595505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2300/10000 [4:04:51<23:45:51, 11.11s/it]
                                                         
{'loss': 1.6918, 'grad_norm': 2.334832191467285, 'learning_rate': 4.5700220778700504e-05, 'epoch': 0.02}

 23%|██▎       | 2300/10000 [4:04:51<23:45:51, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0327601432800293, dino_loss: 0.72265625, depth_loss: 0.06494534015655518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0064605474472046, dino_loss: 0.734375, depth_loss: 0.0788307636976242, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2301/10000 [4:05:02<24:00:30, 11.23s/it]
                                                         
{'loss': 1.82, 'grad_norm': 2.1993372440338135, 'learning_rate': 4.569558401979424e-05, 'epoch': 0.02}

 23%|██▎       | 2301/10000 [4:05:02<24:00:30, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9038264751434326, dino_loss: 0.6015625, depth_loss: 0.05224611982703209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9449712038040161, dino_loss: 0.67578125, depth_loss: 0.05546139180660248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2302/10000 [4:05:13<24:05:51, 11.27s/it]
                                                         
{'loss': 1.6171, 'grad_norm': 2.0784170627593994, 'learning_rate': 4.569094499765002e-05, 'epoch': 0.02}

 23%|██▎       | 2302/10000 [4:05:13<24:05:51, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 1.2952219247817993, dino_loss: 0.7109375, depth_loss: 0.0533415712416172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.057372808456421, dino_loss: 0.671875, depth_loss: 0.04754316434264183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2303/10000 [4:05:25<24:14:06, 11.34s/it]
                                                         
{'loss': 1.9182, 'grad_norm': 11.078575134277344, 'learning_rate': 4.568630371277516e-05, 'epoch': 0.02}

 23%|██▎       | 2303/10000 [4:05:25<24:14:06, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8984925150871277, dino_loss: 0.671875, depth_loss: 0.05248009413480759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9086048603057861, dino_loss: 0.66796875, depth_loss: 0.0654451921582222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2304/10000 [4:05:36<24:07:47, 11.29s/it]
                                                         
{'loss': 1.6325, 'grad_norm': 2.154306411743164, 'learning_rate': 4.5681660165677236e-05, 'epoch': 0.02}

 23%|██▎       | 2304/10000 [4:05:36<24:07:47, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9537264108657837, dino_loss: 0.7109375, depth_loss: 0.06499743461608887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0190434455871582, dino_loss: 0.69921875, depth_loss: 0.05134192854166031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2305/10000 [4:05:47<23:52:11, 11.17s/it]
                                                         
{'loss': 1.7497, 'grad_norm': 3.486635208129883, 'learning_rate': 4.567701435686404e-05, 'epoch': 0.02}

 23%|██▎       | 2305/10000 [4:05:47<23:52:11, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0465281009674072, dino_loss: 0.73828125, depth_loss: 0.04838888347148895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.957582414150238, dino_loss: 0.71484375, depth_loss: 0.06565297394990921, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2306/10000 [4:05:58<23:33:14, 11.02s/it]
                                                         
{'loss': 1.7857, 'grad_norm': 1.8624457120895386, 'learning_rate': 4.567236628684366e-05, 'epoch': 0.02}

 23%|██▎       | 2306/10000 [4:05:58<23:33:14, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0281544923782349, dino_loss: 0.72265625, depth_loss: 0.0620870478451252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9059980511665344, dino_loss: 0.68359375, depth_loss: 0.05563285946846008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2307/10000 [4:06:10<24:11:43, 11.32s/it]
                                                         
{'loss': 1.7292, 'grad_norm': 2.23759388923645, 'learning_rate': 4.566771595612437e-05, 'epoch': 0.02}

 23%|██▎       | 2307/10000 [4:06:10<24:11:43, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0618427991867065, dino_loss: 0.71484375, depth_loss: 0.06378525495529175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0407400131225586, dino_loss: 0.65234375, depth_loss: 0.0693657398223877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2308/10000 [4:06:21<24:01:06, 11.24s/it]
                                                         
{'loss': 1.8016, 'grad_norm': 2.55198073387146, 'learning_rate': 4.5663063365214734e-05, 'epoch': 0.02}

 23%|██▎       | 2308/10000 [4:06:21<24:01:06, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8713691234588623, dino_loss: 0.6796875, depth_loss: 0.054806649684906006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0323975086212158, dino_loss: 0.703125, depth_loss: 0.06807411462068558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2309/10000 [4:06:32<24:00:58, 11.24s/it]
                                                         
{'loss': 1.7049, 'grad_norm': 2.8357598781585693, 'learning_rate': 4.5658408514623566e-05, 'epoch': 0.02}

 23%|██▎       | 2309/10000 [4:06:32<24:00:58, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9355694055557251, dino_loss: 0.74609375, depth_loss: 0.08308152109384537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0360119342803955, dino_loss: 0.6796875, depth_loss: 0.07052263617515564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2310/10000 [4:06:44<24:29:05, 11.46s/it]
                                                         
{'loss': 1.7756, 'grad_norm': 3.649618625640869, 'learning_rate': 4.565375140485989e-05, 'epoch': 0.02}

 23%|██▎       | 2310/10000 [4:06:44<24:29:05, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.9465739727020264, dino_loss: 0.69140625, depth_loss: 0.06853270530700684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0917203426361084, dino_loss: 0.74609375, depth_loss: 0.07542389631271362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2311/10000 [4:06:54<23:50:08, 11.16s/it]
                                                         
{'loss': 1.81, 'grad_norm': 1.487219214439392, 'learning_rate': 4.5649092036433016e-05, 'epoch': 0.02}

 23%|██▎       | 2311/10000 [4:06:54<23:50:08, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1233668327331543, dino_loss: 0.69140625, depth_loss: 0.05694717541337013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8986361622810364, dino_loss: 0.703125, depth_loss: 0.06801270693540573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2312/10000 [4:07:06<24:11:19, 11.33s/it]
                                                         
{'loss': 1.7709, 'grad_norm': 1.9562350511550903, 'learning_rate': 4.564443040985249e-05, 'epoch': 0.02}

 23%|██▎       | 2312/10000 [4:07:06<24:11:19, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.9044445753097534, dino_loss: 0.62109375, depth_loss: 0.044771112501621246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0946359634399414, dino_loss: 0.7109375, depth_loss: 0.057634420692920685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2313/10000 [4:07:17<24:13:55, 11.35s/it]
                                                         
{'loss': 1.7169, 'grad_norm': 1.5540130138397217, 'learning_rate': 4.563976652562809e-05, 'epoch': 0.02}

 23%|██▎       | 2313/10000 [4:07:17<24:13:55, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0101851224899292, dino_loss: 0.69921875, depth_loss: 0.05704338848590851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0156304836273193, dino_loss: 0.71484375, depth_loss: 0.07270728796720505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2314/10000 [4:07:28<23:42:58, 11.11s/it]
                                                         
{'loss': 1.7849, 'grad_norm': 1.5260024070739746, 'learning_rate': 4.5635100384269845e-05, 'epoch': 0.02}

 23%|██▎       | 2314/10000 [4:07:28<23:42:58, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9413156509399414, dino_loss: 0.671875, depth_loss: 0.06721295416355133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9399600625038147, dino_loss: 0.70703125, depth_loss: 0.07366505265235901, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2315/10000 [4:07:39<23:45:33, 11.13s/it]
                                                         
{'loss': 1.7006, 'grad_norm': 1.1957591772079468, 'learning_rate': 4.563043198628806e-05, 'epoch': 0.02}

 23%|██▎       | 2315/10000 [4:07:39<23:45:33, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1048370599746704, dino_loss: 0.73828125, depth_loss: 0.06705456227064133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.909024715423584, dino_loss: 0.6953125, depth_loss: 0.07806446403265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2316/10000 [4:07:50<23:27:39, 10.99s/it]
                                                         
{'loss': 1.7963, 'grad_norm': 2.0326545238494873, 'learning_rate': 4.562576133219324e-05, 'epoch': 0.02}

 23%|██▎       | 2316/10000 [4:07:50<23:27:39, 10.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0261380672454834, dino_loss: 0.6953125, depth_loss: 0.07187610864639282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9864504337310791, dino_loss: 0.66015625, depth_loss: 0.049524784088134766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2317/10000 [4:08:01<23:33:09, 11.04s/it]
                                                         
{'loss': 1.7448, 'grad_norm': 2.109673500061035, 'learning_rate': 4.5621088422496175e-05, 'epoch': 0.02}

 23%|██▎       | 2317/10000 [4:08:01<23:33:09, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9103410243988037, dino_loss: 0.69921875, depth_loss: 0.05935319513082504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0789356231689453, dino_loss: 0.7421875, depth_loss: 0.062460511922836304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2318/10000 [4:08:12<23:41:31, 11.10s/it]
                                                         
{'loss': 1.7763, 'grad_norm': 1.794297456741333, 'learning_rate': 4.561641325770788e-05, 'epoch': 0.02}

 23%|██▎       | 2318/10000 [4:08:12<23:41:31, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9161686301231384, dino_loss: 0.734375, depth_loss: 0.062231697142124176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0091580152511597, dino_loss: 0.73046875, depth_loss: 0.058415524661540985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2319/10000 [4:08:23<23:29:23, 11.01s/it]
                                                         
{'loss': 1.7554, 'grad_norm': 4.233527183532715, 'learning_rate': 4.561173583833963e-05, 'epoch': 0.02}

 23%|██▎       | 2319/10000 [4:08:23<23:29:23, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0238275527954102, dino_loss: 0.70703125, depth_loss: 0.081861212849617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0412907600402832, dino_loss: 0.734375, depth_loss: 0.05950602516531944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2320/10000 [4:08:34<23:34:12, 11.05s/it]
                                                         
{'loss': 1.824, 'grad_norm': 2.0925405025482178, 'learning_rate': 4.560705616490294e-05, 'epoch': 0.02}

 23%|██▎       | 2320/10000 [4:08:34<23:34:12, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0007613897323608, dino_loss: 0.7109375, depth_loss: 0.10256984829902649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9648397564888, dino_loss: 0.7109375, depth_loss: 0.0733984112739563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2321/10000 [4:08:45<23:29:00, 11.01s/it]
                                                         
{'loss': 1.7818, 'grad_norm': 2.024864673614502, 'learning_rate': 4.5602374237909564e-05, 'epoch': 0.02}

 23%|██▎       | 2321/10000 [4:08:45<23:29:00, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9811322093009949, dino_loss: 0.68359375, depth_loss: 0.05273351073265076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9577538967132568, dino_loss: 0.70703125, depth_loss: 0.06835607439279556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2322/10000 [4:08:56<23:37:41, 11.08s/it]
                                                         
{'loss': 1.7253, 'grad_norm': 3.2192177772521973, 'learning_rate': 4.5597690057871525e-05, 'epoch': 0.02}

 23%|██▎       | 2322/10000 [4:08:56<23:37:41, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8967583179473877, dino_loss: 0.6875, depth_loss: 0.06547148525714874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.939617395401001, dino_loss: 0.671875, depth_loss: 0.05332852154970169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2323/10000 [4:09:08<23:44:26, 11.13s/it]
                                                         
{'loss': 1.6573, 'grad_norm': 1.9516295194625854, 'learning_rate': 4.559300362530107e-05, 'epoch': 0.02}

 23%|██▎       | 2323/10000 [4:09:08<23:44:26, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9383922815322876, dino_loss: 0.66796875, depth_loss: 0.05749554559588432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0050554275512695, dino_loss: 0.765625, depth_loss: 0.07158151268959045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2324/10000 [4:09:19<23:48:21, 11.16s/it]
                                                         
{'loss': 1.7531, 'grad_norm': 2.554602861404419, 'learning_rate': 4.558831494071069e-05, 'epoch': 0.02}

 23%|██▎       | 2324/10000 [4:09:19<23:48:21, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0677194595336914, dino_loss: 0.70703125, depth_loss: 0.06392843276262283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.175984263420105, dino_loss: 0.66796875, depth_loss: 0.06630486994981766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2325/10000 [4:09:31<24:06:59, 11.31s/it]
                                                         
{'loss': 1.8745, 'grad_norm': 2.6560280323028564, 'learning_rate': 4.5583624004613145e-05, 'epoch': 0.02}

 23%|██▎       | 2325/10000 [4:09:31<24:06:59, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9264905452728271, dino_loss: 0.71875, depth_loss: 0.06167410686612129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9780969619750977, dino_loss: 0.71484375, depth_loss: 0.07390573620796204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2326/10000 [4:09:42<24:01:52, 11.27s/it]
                                                         
{'loss': 1.7369, 'grad_norm': 2.433551549911499, 'learning_rate': 4.5578930817521425e-05, 'epoch': 0.02}

 23%|██▎       | 2326/10000 [4:09:42<24:01:52, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8829935193061829, dino_loss: 0.65625, depth_loss: 0.04712418466806412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0441259145736694, dino_loss: 0.69140625, depth_loss: 0.0650002658367157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2327/10000 [4:09:53<23:45:28, 11.15s/it]
                                                         
{'loss': 1.6935, 'grad_norm': 2.8802425861358643, 'learning_rate': 4.5574235379948776e-05, 'epoch': 0.02}

 23%|██▎       | 2327/10000 [4:09:53<23:45:28, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0386780500411987, dino_loss: 0.703125, depth_loss: 0.05646977573633194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9837778806686401, dino_loss: 0.71875, depth_loss: 0.07537694275379181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2328/10000 [4:10:04<24:14:00, 11.37s/it]
                                                         
{'loss': 1.7882, 'grad_norm': 1.8005021810531616, 'learning_rate': 4.556953769240868e-05, 'epoch': 0.02}

 23%|██▎       | 2328/10000 [4:10:04<24:14:00, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8883030414581299, dino_loss: 0.73046875, depth_loss: 0.07764242589473724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 1.0379211902618408, dino_loss: 0.75, depth_loss: 0.06385325640439987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2329/10000 [4:10:16<24:35:17, 11.54s/it]
                                                         
{'loss': 1.7742, 'grad_norm': 1.2202013731002808, 'learning_rate': 4.5564837755414864e-05, 'epoch': 0.02}

 23%|██▎       | 2329/10000 [4:10:16<24:35:17, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0306317806243896, dino_loss: 0.625, depth_loss: 0.04121704027056694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8862314224243164, dino_loss: 0.71484375, depth_loss: 0.06356589496135712, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2330/10000 [4:10:28<24:44:10, 11.61s/it]
                                                         
{'loss': 1.6809, 'grad_norm': 1.6693246364593506, 'learning_rate': 4.556013556948131e-05, 'epoch': 0.02}

 23%|██▎       | 2330/10000 [4:10:28<24:44:10, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1025807857513428, dino_loss: 0.6953125, depth_loss: 0.06406329572200775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9311176538467407, dino_loss: 0.7421875, depth_loss: 0.06354135274887085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2331/10000 [4:10:39<24:09:32, 11.34s/it]
                                                         
{'loss': 1.7995, 'grad_norm': 3.8166472911834717, 'learning_rate': 4.555543113512224e-05, 'epoch': 0.02}

 23%|██▎       | 2331/10000 [4:10:39<24:09:32, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0035089254379272, dino_loss: 0.7265625, depth_loss: 0.0692438930273056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9600451588630676, dino_loss: 0.71875, depth_loss: 0.07427230477333069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2332/10000 [4:10:50<24:06:26, 11.32s/it]
                                                         
{'loss': 1.7763, 'grad_norm': 1.9440819025039673, 'learning_rate': 4.555072445285213e-05, 'epoch': 0.02}

 23%|██▎       | 2332/10000 [4:10:50<24:06:26, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9621299505233765, dino_loss: 0.6796875, depth_loss: 0.05809343233704567, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0217972993850708, dino_loss: 0.7265625, depth_loss: 0.06796972453594208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2333/10000 [4:11:01<23:54:07, 11.22s/it]
                                                         
{'loss': 1.7582, 'grad_norm': 4.746578216552734, 'learning_rate': 4.5546015523185683e-05, 'epoch': 0.02}

 23%|██▎       | 2333/10000 [4:11:01<23:54:07, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9506639838218689, dino_loss: 0.68359375, depth_loss: 0.04578237235546112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9480666518211365, dino_loss: 0.73046875, depth_loss: 0.07403476536273956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2334/10000 [4:11:13<24:02:08, 11.29s/it]
                                                         
{'loss': 1.7164, 'grad_norm': 2.4273557662963867, 'learning_rate': 4.554130434663788e-05, 'epoch': 0.02}

 23%|██▎       | 2334/10000 [4:11:13<24:02:08, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.093095064163208, dino_loss: 0.73828125, depth_loss: 0.07077126950025558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0262947082519531, dino_loss: 0.69140625, depth_loss: 0.05965055897831917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2335/10000 [4:11:23<23:46:06, 11.16s/it]
                                                         
{'loss': 1.8398, 'grad_norm': 1.877870798110962, 'learning_rate': 4.5536590923723906e-05, 'epoch': 0.02}

 23%|██▎       | 2335/10000 [4:11:23<23:46:06, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9688045382499695, dino_loss: 0.70703125, depth_loss: 0.0698811337351799, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0623326301574707, dino_loss: 0.66796875, depth_loss: 0.045710619539022446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2336/10000 [4:11:34<23:39:05, 11.11s/it]
                                                         
{'loss': 1.7609, 'grad_norm': 2.098482847213745, 'learning_rate': 4.5531875254959236e-05, 'epoch': 0.02}

 23%|██▎       | 2336/10000 [4:11:34<23:39:05, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9365548491477966, dino_loss: 0.61328125, depth_loss: 0.06568692624568939, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0520908832550049, dino_loss: 0.7109375, depth_loss: 0.07304266095161438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2337/10000 [4:11:46<23:41:12, 11.13s/it]
                                                         
{'loss': 1.7259, 'grad_norm': 1.4947023391723633, 'learning_rate': 4.552715734085955e-05, 'epoch': 0.02}

 23%|██▎       | 2337/10000 [4:11:46<23:41:12, 11.13s/it]the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8914010524749756, dino_loss: 0.703125, depth_loss: 0.060915764421224594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8808008432388306, dino_loss: 0.6640625, depth_loss: 0.05144573748111725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2338/10000 [4:11:57<23:34:55, 11.08s/it]
                                                         
{'loss': 1.6259, 'grad_norm': 2.0660550594329834, 'learning_rate': 4.5522437181940804e-05, 'epoch': 0.02}

 23%|██▎       | 2338/10000 [4:11:57<23:34:55, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.886368989944458, dino_loss: 0.7265625, depth_loss: 0.0739162266254425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0910625457763672, dino_loss: 0.70703125, depth_loss: 0.06172983720898628, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2339/10000 [4:12:07<23:27:22, 11.02s/it]
                                                         
{'loss': 1.7734, 'grad_norm': 1.267037272453308, 'learning_rate': 4.5517714778719175e-05, 'epoch': 0.02}

 23%|██▎       | 2339/10000 [4:12:07<23:27:22, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.05366051197052, dino_loss: 0.6484375, depth_loss: 0.05505428835749626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8914562463760376, dino_loss: 0.65234375, depth_loss: 0.05460010841488838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2340/10000 [4:12:19<23:58:29, 11.27s/it]
                                                         
{'loss': 1.6779, 'grad_norm': 2.9227545261383057, 'learning_rate': 4.551299013171111e-05, 'epoch': 0.02}

 23%|██▎       | 2340/10000 [4:12:19<23:58:29, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9771813154220581, dino_loss: 0.69140625, depth_loss: 0.06892746686935425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.077200174331665, dino_loss: 0.70703125, depth_loss: 0.0808318555355072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2341/10000 [4:12:31<24:27:07, 11.49s/it]
                                                         
{'loss': 1.8014, 'grad_norm': 4.635622501373291, 'learning_rate': 4.550826324143329e-05, 'epoch': 0.02}

 23%|██▎       | 2341/10000 [4:12:31<24:27:07, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0239077806472778, dino_loss: 0.71875, depth_loss: 0.08997178822755814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7967970967292786, dino_loss: 0.69140625, depth_loss: 0.06058477982878685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2342/10000 [4:12:43<24:18:48, 11.43s/it]
                                                         
{'loss': 1.6908, 'grad_norm': 3.0436975955963135, 'learning_rate': 4.5503534108402635e-05, 'epoch': 0.02}

 23%|██▎       | 2342/10000 [4:12:43<24:18:48, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9671944975852966, dino_loss: 0.70703125, depth_loss: 0.05525672063231468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9814579486846924, dino_loss: 0.734375, depth_loss: 0.06129559129476547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2343/10000 [4:12:54<24:26:45, 11.49s/it]
                                                         
{'loss': 1.7534, 'grad_norm': 2.0508615970611572, 'learning_rate': 4.549880273313631e-05, 'epoch': 0.02}

 23%|██▎       | 2343/10000 [4:12:54<24:26:45, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1196500062942505, dino_loss: 0.734375, depth_loss: 0.05920571833848953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9699926376342773, dino_loss: 0.67578125, depth_loss: 0.05160477012395859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2344/10000 [4:13:06<24:25:44, 11.49s/it]
                                                         
{'loss': 1.8054, 'grad_norm': 1.5294864177703857, 'learning_rate': 4.549406911615174e-05, 'epoch': 0.02}

 23%|██▎       | 2344/10000 [4:13:06<24:25:44, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8705770969390869, dino_loss: 0.6640625, depth_loss: 0.06717988103628159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0696141719818115, dino_loss: 0.7109375, depth_loss: 0.04421402886509895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2345/10000 [4:13:16<23:56:27, 11.26s/it]
                                                         
{'loss': 1.7134, 'grad_norm': 2.613116502761841, 'learning_rate': 4.548933325796658e-05, 'epoch': 0.02}

 23%|██▎       | 2345/10000 [4:13:16<23:56:27, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8914438486099243, dino_loss: 0.609375, depth_loss: 0.043360162526369095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1845874786376953, dino_loss: 0.671875, depth_loss: 0.07304711639881134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2346/10000 [4:13:28<24:20:05, 11.45s/it]
                                                         
{'loss': 1.7369, 'grad_norm': 7.720178127288818, 'learning_rate': 4.5484595159098755e-05, 'epoch': 0.02}

 23%|██▎       | 2346/10000 [4:13:28<24:20:05, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9412249326705933, dino_loss: 0.70703125, depth_loss: 0.06482049822807312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.958888053894043, dino_loss: 0.69921875, depth_loss: 0.05825114622712135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2347/10000 [4:13:39<24:09:10, 11.36s/it]
                                                         
{'loss': 1.7149, 'grad_norm': 2.882622003555298, 'learning_rate': 4.5479854820066385e-05, 'epoch': 0.02}

 23%|██▎       | 2347/10000 [4:13:39<24:09:10, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.119268536567688, dino_loss: 0.71484375, depth_loss: 0.07646536082029343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9967978596687317, dino_loss: 0.74609375, depth_loss: 0.07101985067129135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2348/10000 [4:13:51<24:02:23, 11.31s/it]
                                                         
{'loss': 1.8624, 'grad_norm': 1.8212774991989136, 'learning_rate': 4.547511224138789e-05, 'epoch': 0.02}

 23%|██▎       | 2348/10000 [4:13:51<24:02:23, 11.31s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.7822622060775757, dino_loss: 0.734375, depth_loss: 0.05861201882362366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9426628947257996, dino_loss: 0.703125, depth_loss: 0.04460000991821289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 23%|██▎       | 2349/10000 [4:14:02<23:58:26, 11.28s/it]
                                                         
{'loss': 1.6332, 'grad_norm': 3.6106045246124268, 'learning_rate': 4.5470367423581906e-05, 'epoch': 0.02}

 23%|██▎       | 2349/10000 [4:14:02<23:58:26, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9174427390098572, dino_loss: 0.70703125, depth_loss: 0.06593380123376846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.9878427982330322, dino_loss: 0.734375, depth_loss: 0.07402142137289047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2350/10000 [4:14:13<23:38:27, 11.13s/it]
                                                         
{'loss': 1.7435, 'grad_norm': 1.7770973443984985, 'learning_rate': 4.546562036716732e-05, 'epoch': 0.02}

 24%|██▎       | 2350/10000 [4:14:13<23:38:27, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0266151428222656, dino_loss: 0.765625, depth_loss: 0.06383869796991348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9916243553161621, dino_loss: 0.66015625, depth_loss: 0.04249407351016998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2351/10000 [4:14:24<23:36:02, 11.11s/it]
                                                         
{'loss': 1.7752, 'grad_norm': 2.5307157039642334, 'learning_rate': 4.546087107266325e-05, 'epoch': 0.02}

 24%|██▎       | 2351/10000 [4:14:24<23:36:02, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9503068923950195, dino_loss: 0.73046875, depth_loss: 0.062052205204963684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9566966891288757, dino_loss: 0.69140625, depth_loss: 0.0682375580072403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2352/10000 [4:14:35<23:32:45, 11.08s/it]
                                                         
{'loss': 1.7298, 'grad_norm': 1.4969408512115479, 'learning_rate': 4.545611954058909e-05, 'epoch': 0.02}

 24%|██▎       | 2352/10000 [4:14:35<23:32:45, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9947167634963989, dino_loss: 0.70703125, depth_loss: 0.06814756244421005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9165676832199097, dino_loss: 0.68359375, depth_loss: 0.06336542218923569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2353/10000 [4:14:46<23:32:37, 11.08s/it]
                                                         
{'loss': 1.7169, 'grad_norm': 1.5504119396209717, 'learning_rate': 4.545136577146444e-05, 'epoch': 0.02}

 24%|██▎       | 2353/10000 [4:14:46<23:32:37, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8909974098205566, dino_loss: 0.67578125, depth_loss: 0.06413779407739639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8726807832717896, dino_loss: 0.69921875, depth_loss: 0.05830369144678116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2354/10000 [4:14:57<23:39:07, 11.14s/it]
                                                         
{'loss': 1.6307, 'grad_norm': 1.8861709833145142, 'learning_rate': 4.544660976580919e-05, 'epoch': 0.02}

 24%|██▎       | 2354/10000 [4:14:57<23:39:07, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9958274960517883, dino_loss: 0.7265625, depth_loss: 0.0647999569773674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9761923551559448, dino_loss: 0.7421875, depth_loss: 0.06519986689090729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2355/10000 [4:15:09<23:51:07, 11.23s/it]
                                                         
{'loss': 1.7855, 'grad_norm': 4.2253313064575195, 'learning_rate': 4.544185152414343e-05, 'epoch': 0.02}

 24%|██▎       | 2355/10000 [4:15:09<23:51:07, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0530251264572144, dino_loss: 0.81640625, depth_loss: 0.07584110647439957, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0379918813705444, dino_loss: 0.703125, depth_loss: 0.060313183814287186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2356/10000 [4:15:20<23:48:43, 11.21s/it]
                                                         
{'loss': 1.8734, 'grad_norm': 2.0770530700683594, 'learning_rate': 4.543709104698753e-05, 'epoch': 0.02}

 24%|██▎       | 2356/10000 [4:15:20<23:48:43, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.091700792312622, dino_loss: 0.7109375, depth_loss: 0.06400521099567413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0031802654266357, dino_loss: 0.7109375, depth_loss: 0.07716204971075058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2357/10000 [4:15:31<23:37:06, 11.12s/it]
                                                         
{'loss': 1.829, 'grad_norm': 1.7201515436172485, 'learning_rate': 4.5432328334862074e-05, 'epoch': 0.02}

 24%|██▎       | 2357/10000 [4:15:31<23:37:06, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8807646632194519, dino_loss: 0.6953125, depth_loss: 0.05804947391152382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.002787470817566, dino_loss: 0.734375, depth_loss: 0.057643916457891464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2358/10000 [4:15:42<23:43:46, 11.18s/it]
                                                         
{'loss': 1.7146, 'grad_norm': 5.565993785858154, 'learning_rate': 4.542756338828791e-05, 'epoch': 0.02}

 24%|██▎       | 2358/10000 [4:15:42<23:43:46, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9459894895553589, dino_loss: 0.6796875, depth_loss: 0.08324000984430313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.000153660774231, dino_loss: 0.68359375, depth_loss: 0.06007641181349754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2359/10000 [4:15:53<23:55:08, 11.27s/it]
                                                         
{'loss': 1.7264, 'grad_norm': 1.38422429561615, 'learning_rate': 4.542279620778613e-05, 'epoch': 0.02}

 24%|██▎       | 2359/10000 [4:15:53<23:55:08, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0065464973449707, dino_loss: 0.68359375, depth_loss: 0.06481078267097473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9135980010032654, dino_loss: 0.73046875, depth_loss: 0.05591301620006561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2360/10000 [4:16:05<23:53:34, 11.26s/it]
                                                         
{'loss': 1.7275, 'grad_norm': 1.4094674587249756, 'learning_rate': 4.541802679387806e-05, 'epoch': 0.02}

 24%|██▎       | 2360/10000 [4:16:05<23:53:34, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.132251262664795, dino_loss: 0.6796875, depth_loss: 0.07172659039497375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9588736295700073, dino_loss: 0.6484375, depth_loss: 0.055302076041698456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2361/10000 [4:16:16<23:49:45, 11.23s/it]
                                                         
{'loss': 1.7732, 'grad_norm': 1.4018802642822266, 'learning_rate': 4.541325514708528e-05, 'epoch': 0.02}

 24%|██▎       | 2361/10000 [4:16:16<23:49:45, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8901979923248291, dino_loss: 0.6484375, depth_loss: 0.05741087347269058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9362143278121948, dino_loss: 0.69140625, depth_loss: 0.06243633106350899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2362/10000 [4:16:27<23:56:40, 11.29s/it]
                                                         
{'loss': 1.6431, 'grad_norm': 2.3935818672180176, 'learning_rate': 4.5408481267929605e-05, 'epoch': 0.02}

 24%|██▎       | 2362/10000 [4:16:27<23:56:40, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1466258764266968, dino_loss: 0.7734375, depth_loss: 0.06481577455997467, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9974949955940247, dino_loss: 0.7265625, depth_loss: 0.05566538870334625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2363/10000 [4:16:39<23:59:25, 11.31s/it]
                                                         
{'loss': 1.8823, 'grad_norm': 2.3367104530334473, 'learning_rate': 4.5403705156933095e-05, 'epoch': 0.02}

 24%|██▎       | 2363/10000 [4:16:39<23:59:25, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.924004316329956, dino_loss: 0.63671875, depth_loss: 0.04804534465074539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9353948831558228, dino_loss: 0.67578125, depth_loss: 0.06399600207805634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2364/10000 [4:16:50<24:09:10, 11.39s/it]
                                                         
{'loss': 1.6421, 'grad_norm': 1.294884204864502, 'learning_rate': 4.539892681461808e-05, 'epoch': 0.02}

 24%|██▎       | 2364/10000 [4:16:50<24:09:10, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9390824437141418, dino_loss: 0.703125, depth_loss: 0.06335825473070145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0880012512207031, dino_loss: 0.7265625, depth_loss: 0.07992616295814514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2365/10000 [4:17:01<24:04:54, 11.35s/it]
                                                         
{'loss': 1.8001, 'grad_norm': 1.848714828491211, 'learning_rate': 4.539414624150708e-05, 'epoch': 0.02}

 24%|██▎       | 2365/10000 [4:17:01<24:04:54, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0507187843322754, dino_loss: 0.765625, depth_loss: 0.08676354587078094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9171230792999268, dino_loss: 0.703125, depth_loss: 0.058393917977809906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2366/10000 [4:17:13<23:55:14, 11.28s/it]
                                                         
{'loss': 1.791, 'grad_norm': 1.689236044883728, 'learning_rate': 4.538936343812293e-05, 'epoch': 0.02}

 24%|██▎       | 2366/10000 [4:17:13<23:55:14, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9634151458740234, dino_loss: 0.72265625, depth_loss: 0.05621767044067383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9092904329299927, dino_loss: 0.625, depth_loss: 0.06760358065366745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2367/10000 [4:17:24<24:11:48, 11.41s/it]
                                                         
{'loss': 1.6722, 'grad_norm': 3.42376971244812, 'learning_rate': 4.5384578404988637e-05, 'epoch': 0.02}

 24%|██▎       | 2367/10000 [4:17:24<24:11:48, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9201360940933228, dino_loss: 0.71875, depth_loss: 0.05699928477406502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.974750816822052, dino_loss: 0.7265625, depth_loss: 0.0736817717552185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2368/10000 [4:17:35<24:00:16, 11.32s/it]
                                                         
{'loss': 1.7355, 'grad_norm': 2.636786937713623, 'learning_rate': 4.5379791142627505e-05, 'epoch': 0.02}

 24%|██▎       | 2368/10000 [4:17:35<24:00:16, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9885085821151733, dino_loss: 0.703125, depth_loss: 0.06064274534583092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0757428407669067, dino_loss: 0.765625, depth_loss: 0.06415014714002609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2369/10000 [4:17:46<23:50:42, 11.25s/it]
                                                         
{'loss': 1.8291, 'grad_norm': 2.225850820541382, 'learning_rate': 4.537500165156304e-05, 'epoch': 0.02}

 24%|██▎       | 2369/10000 [4:17:46<23:50:42, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1562352180480957, dino_loss: 0.71875, depth_loss: 0.0727815181016922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1253442764282227, dino_loss: 0.6953125, depth_loss: 0.06813943386077881, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2370/10000 [4:17:58<23:52:18, 11.26s/it]
                                                         
{'loss': 1.9183, 'grad_norm': 2.43796443939209, 'learning_rate': 4.537020993231904e-05, 'epoch': 0.02}

 24%|██▎       | 2370/10000 [4:17:58<23:52:18, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9749400019645691, dino_loss: 0.7109375, depth_loss: 0.04864465072751045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8841651082038879, dino_loss: 0.74609375, depth_loss: 0.06291129440069199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2371/10000 [4:18:09<23:39:35, 11.16s/it]
                                                         
{'loss': 1.7139, 'grad_norm': 1.7118300199508667, 'learning_rate': 4.536541598541951e-05, 'epoch': 0.02}

 24%|██▎       | 2371/10000 [4:18:09<23:39:35, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9985567331314087, dino_loss: 0.671875, depth_loss: 0.05845312774181366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9001104831695557, dino_loss: 0.68359375, depth_loss: 0.050126004964113235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2372/10000 [4:18:21<24:12:04, 11.42s/it]
                                                         
{'loss': 1.6814, 'grad_norm': 1.9949419498443604, 'learning_rate': 4.53606198113887e-05, 'epoch': 0.02}

 24%|██▎       | 2372/10000 [4:18:21<24:12:04, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9631300568580627, dino_loss: 0.7109375, depth_loss: 0.10524306446313858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1165385246276855, dino_loss: 0.68359375, depth_loss: 0.07043492794036865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2373/10000 [4:18:32<24:04:33, 11.36s/it]
                                                         
{'loss': 1.8251, 'grad_norm': 1.6315096616744995, 'learning_rate': 4.535582141075112e-05, 'epoch': 0.02}

 24%|██▎       | 2373/10000 [4:18:32<24:04:33, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.846625566482544, dino_loss: 0.69921875, depth_loss: 0.06253814697265625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0006022453308105, dino_loss: 0.73046875, depth_loss: 0.0673302710056305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▎       | 2374/10000 [4:18:43<24:00:30, 11.33s/it]
                                                         
{'loss': 1.7035, 'grad_norm': 2.5925848484039307, 'learning_rate': 4.535102078403152e-05, 'epoch': 0.02}

 24%|██▎       | 2374/10000 [4:18:43<24:00:30, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0120248794555664, dino_loss: 0.703125, depth_loss: 0.0881425142288208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8933494091033936, dino_loss: 0.6953125, depth_loss: 0.06353726983070374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2375/10000 [4:18:55<24:05:43, 11.38s/it]
                                                         
{'loss': 1.7279, 'grad_norm': 1.1303373575210571, 'learning_rate': 4.534621793175487e-05, 'epoch': 0.02}

 24%|██▍       | 2375/10000 [4:18:55<24:05:43, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.051013708114624, dino_loss: 0.72265625, depth_loss: 0.0651421844959259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9324240684509277, dino_loss: 0.6640625, depth_loss: 0.06533230096101761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2376/10000 [4:19:06<23:51:59, 11.27s/it]
                                                         
{'loss': 1.7503, 'grad_norm': 2.230166435241699, 'learning_rate': 4.534141285444643e-05, 'epoch': 0.02}

 24%|██▍       | 2376/10000 [4:19:06<23:51:59, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.908017635345459, dino_loss: 0.66796875, depth_loss: 0.05067741870880127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9760036468505859, dino_loss: 0.67578125, depth_loss: 0.0572303906083107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2377/10000 [4:19:17<23:55:30, 11.30s/it]
                                                         
{'loss': 1.6679, 'grad_norm': 2.021209955215454, 'learning_rate': 4.533660555263166e-05, 'epoch': 0.02}

 24%|██▍       | 2377/10000 [4:19:17<23:55:30, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.883743405342102, dino_loss: 0.69921875, depth_loss: 0.07663551717996597, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0230330228805542, dino_loss: 0.6953125, depth_loss: 0.054324716329574585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2378/10000 [4:19:29<24:01:12, 11.35s/it]
                                                         
{'loss': 1.7162, 'grad_norm': 1.3938347101211548, 'learning_rate': 4.533179602683629e-05, 'epoch': 0.02}

 24%|██▍       | 2378/10000 [4:19:29<24:01:12, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0117363929748535, dino_loss: 0.734375, depth_loss: 0.06011300906538963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1097965240478516, dino_loss: 0.68359375, depth_loss: 0.06895692646503448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2379/10000 [4:19:39<23:32:31, 11.12s/it]
                                                         
{'loss': 1.8344, 'grad_norm': 2.0459606647491455, 'learning_rate': 4.532698427758627e-05, 'epoch': 0.02}

 24%|██▍       | 2379/10000 [4:19:39<23:32:31, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9428489208221436, dino_loss: 0.66015625, depth_loss: 0.05945247411727905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9906176328659058, dino_loss: 0.71875, depth_loss: 0.0710034966468811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2380/10000 [4:19:50<23:39:15, 11.18s/it]
                                                         
{'loss': 1.7216, 'grad_norm': 2.4584720134735107, 'learning_rate': 4.532217030540781e-05, 'epoch': 0.02}

 24%|██▍       | 2380/10000 [4:19:50<23:39:15, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9376586675643921, dino_loss: 0.73828125, depth_loss: 0.05358223244547844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8930110931396484, dino_loss: 0.76953125, depth_loss: 0.07122056931257248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2381/10000 [4:20:01<23:22:57, 11.05s/it]
                                                         
{'loss': 1.7317, 'grad_norm': 2.2946348190307617, 'learning_rate': 4.531735411082735e-05, 'epoch': 0.02}

 24%|██▍       | 2381/10000 [4:20:01<23:22:57, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9462131261825562, dino_loss: 0.640625, depth_loss: 0.052274685353040695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9943721294403076, dino_loss: 0.7265625, depth_loss: 0.08484528958797455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2382/10000 [4:20:13<23:34:23, 11.14s/it]
                                                         
{'loss': 1.7226, 'grad_norm': 3.456460475921631, 'learning_rate': 4.53125356943716e-05, 'epoch': 0.02}

 24%|██▍       | 2382/10000 [4:20:13<23:34:23, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9809160232543945, dino_loss: 0.68359375, depth_loss: 0.07715632021427155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9577741622924805, dino_loss: 0.68359375, depth_loss: 0.07469534873962402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2383/10000 [4:20:24<23:41:43, 11.20s/it]
                                                         
{'loss': 1.7289, 'grad_norm': 2.5085268020629883, 'learning_rate': 4.5307715056567484e-05, 'epoch': 0.02}

 24%|██▍       | 2383/10000 [4:20:24<23:41:43, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9590840935707092, dino_loss: 0.7265625, depth_loss: 0.0790608823299408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0459284782409668, dino_loss: 0.7265625, depth_loss: 0.05736590921878815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2384/10000 [4:20:35<23:35:59, 11.16s/it]
                                                         
{'loss': 1.7974, 'grad_norm': 2.5920472145080566, 'learning_rate': 4.530289219794218e-05, 'epoch': 0.02}

 24%|██▍       | 2384/10000 [4:20:35<23:35:59, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.000010371208191, dino_loss: 0.703125, depth_loss: 0.05816575139760971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0075697898864746, dino_loss: 0.80078125, depth_loss: 0.09449639916419983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2385/10000 [4:20:46<23:23:16, 11.06s/it]
                                                         
{'loss': 1.8321, 'grad_norm': 1.7468597888946533, 'learning_rate': 4.5298067119023114e-05, 'epoch': 0.02}

 24%|██▍       | 2385/10000 [4:20:46<23:23:16, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8176264762878418, dino_loss: 0.66015625, depth_loss: 0.05809640884399414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9897957444190979, dino_loss: 0.75390625, depth_loss: 0.06460779160261154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2386/10000 [4:20:57<23:41:22, 11.20s/it]
                                                         
{'loss': 1.6722, 'grad_norm': 2.3181700706481934, 'learning_rate': 4.529323982033795e-05, 'epoch': 0.02}

 24%|██▍       | 2386/10000 [4:20:57<23:41:22, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9606380462646484, dino_loss: 0.6875, depth_loss: 0.07281597703695297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8671756982803345, dino_loss: 0.69140625, depth_loss: 0.05908042937517166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2387/10000 [4:21:08<23:26:40, 11.09s/it]
                                                         
{'loss': 1.6694, 'grad_norm': 1.4935438632965088, 'learning_rate': 4.528841030241458e-05, 'epoch': 0.02}

 24%|██▍       | 2387/10000 [4:21:08<23:26:40, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0059398412704468, dino_loss: 0.75390625, depth_loss: 0.07330352067947388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9828281998634338, dino_loss: 0.76953125, depth_loss: 0.05824004113674164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2388/10000 [4:21:19<23:31:54, 11.13s/it]
                                                         
{'loss': 1.8219, 'grad_norm': 2.136178731918335, 'learning_rate': 4.528357856578117e-05, 'epoch': 0.02}

 24%|██▍       | 2388/10000 [4:21:19<23:31:54, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9728081822395325, dino_loss: 0.6796875, depth_loss: 0.050475168973207474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0806982517242432, dino_loss: 0.67578125, depth_loss: 0.06463663280010223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2389/10000 [4:21:31<23:43:43, 11.22s/it]
                                                         
{'loss': 1.7622, 'grad_norm': 2.564387559890747, 'learning_rate': 4.5278744610966096e-05, 'epoch': 0.02}

 24%|██▍       | 2389/10000 [4:21:31<23:43:43, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8961981534957886, dino_loss: 0.66015625, depth_loss: 0.05375906080007553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9003304839134216, dino_loss: 0.69140625, depth_loss: 0.06628023087978363, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2390/10000 [4:21:42<23:55:40, 11.32s/it]
                                                         
{'loss': 1.6342, 'grad_norm': 1.8852046728134155, 'learning_rate': 4.5273908438498e-05, 'epoch': 0.02}

 24%|██▍       | 2390/10000 [4:21:42<23:55:40, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8203836679458618, dino_loss: 0.71875, depth_loss: 0.06829096376895905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.8736675977706909, dino_loss: 0.67578125, depth_loss: 0.06040389463305473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2391/10000 [4:21:54<23:52:36, 11.30s/it]
                                                         
{'loss': 1.6087, 'grad_norm': 2.6920783519744873, 'learning_rate': 4.5269070048905766e-05, 'epoch': 0.02}

 24%|██▍       | 2391/10000 [4:21:54<23:52:36, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0043704509735107, dino_loss: 0.7109375, depth_loss: 0.06593047082424164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0751924514770508, dino_loss: 0.66015625, depth_loss: 0.051960524171590805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2392/10000 [4:22:05<24:14:17, 11.47s/it]
                                                         
{'loss': 1.7844, 'grad_norm': 3.356430768966675, 'learning_rate': 4.52642294427185e-05, 'epoch': 0.02}

 24%|██▍       | 2392/10000 [4:22:05<24:14:17, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.973965585231781, dino_loss: 0.6796875, depth_loss: 0.06409414112567902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9194286465644836, dino_loss: 0.6953125, depth_loss: 0.08026090264320374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2393/10000 [4:22:16<23:56:17, 11.33s/it]
                                                         
{'loss': 1.7064, 'grad_norm': 2.1716184616088867, 'learning_rate': 4.525938662046557e-05, 'epoch': 0.02}

 24%|██▍       | 2393/10000 [4:22:16<23:56:17, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9709428548812866, dino_loss: 0.72265625, depth_loss: 0.06933822482824326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9894838333129883, dino_loss: 0.6796875, depth_loss: 0.06022774055600166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2394/10000 [4:22:27<23:34:02, 11.15s/it]
                                                         
{'loss': 1.7464, 'grad_norm': 1.9972597360610962, 'learning_rate': 4.525454158267658e-05, 'epoch': 0.02}

 24%|██▍       | 2394/10000 [4:22:27<23:34:02, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9904707670211792, dino_loss: 0.7265625, depth_loss: 0.0722111389040947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9535977244377136, dino_loss: 0.65234375, depth_loss: 0.07472110539674759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2395/10000 [4:22:38<23:31:45, 11.14s/it]
                                                         
{'loss': 1.735, 'grad_norm': 9.090784072875977, 'learning_rate': 4.524969432988138e-05, 'epoch': 0.02}

 24%|██▍       | 2395/10000 [4:22:38<23:31:45, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8733307719230652, dino_loss: 0.74609375, depth_loss: 0.06885813176631927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8737961649894714, dino_loss: 0.72265625, depth_loss: 0.06278614699840546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2396/10000 [4:22:50<23:55:57, 11.33s/it]
                                                         
{'loss': 1.674, 'grad_norm': 2.599846363067627, 'learning_rate': 4.524484486261005e-05, 'epoch': 0.02}

 24%|██▍       | 2396/10000 [4:22:50<23:55:57, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1215214729309082, dino_loss: 0.6796875, depth_loss: 0.0784076601266861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0082268714904785, dino_loss: 0.73828125, depth_loss: 0.05752847343683243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2397/10000 [4:23:01<23:36:11, 11.18s/it]
                                                         
{'loss': 1.8419, 'grad_norm': 2.0945303440093994, 'learning_rate': 4.5239993181392913e-05, 'epoch': 0.02}

 24%|██▍       | 2397/10000 [4:23:01<23:36:11, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 0.896371603012085, dino_loss: 0.7421875, depth_loss: 0.07821805030107498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0438709259033203, dino_loss: 0.6640625, depth_loss: 0.0828477069735527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2398/10000 [4:23:12<23:19:18, 11.04s/it]
                                                         
{'loss': 1.7538, 'grad_norm': 1.4711668491363525, 'learning_rate': 4.523513928676056e-05, 'epoch': 0.02}

 24%|██▍       | 2398/10000 [4:23:12<23:19:18, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9164794683456421, dino_loss: 0.71875, depth_loss: 0.05735670030117035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9008699655532837, dino_loss: 0.71484375, depth_loss: 0.06876638531684875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2399/10000 [4:23:23<23:19:17, 11.05s/it]
                                                         
{'loss': 1.6886, 'grad_norm': 1.8747934103012085, 'learning_rate': 4.5230283179243806e-05, 'epoch': 0.02}

 24%|██▍       | 2399/10000 [4:23:23<23:19:17, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8552250862121582, dino_loss: 0.73046875, depth_loss: 0.05464394763112068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9639875292778015, dino_loss: 0.70703125, depth_loss: 0.06320890039205551, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2400/10000 [4:23:34<23:39:06, 11.20s/it]
                                                         
{'loss': 1.6874, 'grad_norm': 2.8377668857574463, 'learning_rate': 4.522542485937369e-05, 'epoch': 0.02}

 24%|██▍       | 2400/10000 [4:23:34<23:39:06, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0448017120361328, dino_loss: 0.70703125, depth_loss: 0.07861531525850296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0157891511917114, dino_loss: 0.73046875, depth_loss: 0.06311825662851334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2401/10000 [4:23:45<23:40:20, 11.21s/it]
                                                         
{'loss': 1.82, 'grad_norm': 1.665571689605713, 'learning_rate': 4.522056432768152e-05, 'epoch': 0.02}

 24%|██▍       | 2401/10000 [4:23:45<23:40:20, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0872503519058228, dino_loss: 0.74609375, depth_loss: 0.05251467600464821, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0801295042037964, dino_loss: 0.7421875, depth_loss: 0.06840437650680542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2402/10000 [4:23:57<23:42:47, 11.24s/it]
                                                         
{'loss': 1.8884, 'grad_norm': 4.107750415802002, 'learning_rate': 4.521570158469883e-05, 'epoch': 0.02}

 24%|██▍       | 2402/10000 [4:23:57<23:42:47, 11.24s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.81852126121521, dino_loss: 0.7109375, depth_loss: 0.054148659110069275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9457384943962097, dino_loss: 0.67578125, depth_loss: 0.06282564997673035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2403/10000 [4:24:08<23:48:18, 11.28s/it]
                                                         
{'loss': 1.6343, 'grad_norm': 2.763817548751831, 'learning_rate': 4.521083663095742e-05, 'epoch': 0.02}

 24%|██▍       | 2403/10000 [4:24:08<23:48:18, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9716780781745911, dino_loss: 0.71875, depth_loss: 0.06933873146772385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0292638540267944, dino_loss: 0.68359375, depth_loss: 0.08409299701452255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2404/10000 [4:24:19<23:36:46, 11.19s/it]
                                                         
{'loss': 1.7784, 'grad_norm': 1.3035956621170044, 'learning_rate': 4.5205969466989304e-05, 'epoch': 0.02}

 24%|██▍       | 2404/10000 [4:24:19<23:36:46, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9013760089874268, dino_loss: 0.68359375, depth_loss: 0.05867718532681465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9224076271057129, dino_loss: 0.71875, depth_loss: 0.05552136152982712, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2405/10000 [4:24:30<23:36:29, 11.19s/it]
                                                         
{'loss': 1.6705, 'grad_norm': 1.596833348274231, 'learning_rate': 4.520110009332674e-05, 'epoch': 0.02}

 24%|██▍       | 2405/10000 [4:24:30<23:36:29, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8907580375671387, dino_loss: 0.6953125, depth_loss: 0.062125228345394135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9026237726211548, dino_loss: 0.7109375, depth_loss: 0.06151169538497925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2406/10000 [4:24:42<23:38:01, 11.20s/it]
                                                         
{'loss': 1.6617, 'grad_norm': 1.5382798910140991, 'learning_rate': 4.519622851050224e-05, 'epoch': 0.02}

 24%|██▍       | 2406/10000 [4:24:42<23:38:01, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8279615044593811, dino_loss: 0.78515625, depth_loss: 0.07721197605133057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9928393363952637, dino_loss: 0.75, depth_loss: 0.06530813127756119, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2407/10000 [4:24:53<23:58:52, 11.37s/it]
                                                         
{'loss': 1.7493, 'grad_norm': 2.668247699737549, 'learning_rate': 4.5191354719048556e-05, 'epoch': 0.02}

 24%|██▍       | 2407/10000 [4:24:53<23:58:52, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1051530838012695, dino_loss: 0.7421875, depth_loss: 0.08207735419273376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.109289526939392, dino_loss: 0.7421875, depth_loss: 0.07987925410270691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2408/10000 [4:25:05<23:59:56, 11.38s/it]
                                                         
{'loss': 1.9305, 'grad_norm': 2.2929046154022217, 'learning_rate': 4.5186478719498684e-05, 'epoch': 0.02}

 24%|██▍       | 2408/10000 [4:25:05<23:59:56, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9777004718780518, dino_loss: 0.78515625, depth_loss: 0.06461702287197113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9525769948959351, dino_loss: 0.71484375, depth_loss: 0.06392860412597656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2409/10000 [4:25:16<23:57:57, 11.37s/it]
                                                         
{'loss': 1.7794, 'grad_norm': 2.331268072128296, 'learning_rate': 4.5181600512385844e-05, 'epoch': 0.02}

 24%|██▍       | 2409/10000 [4:25:16<23:57:57, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.988304853439331, dino_loss: 0.70703125, depth_loss: 0.09075282514095306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8847445249557495, dino_loss: 0.65234375, depth_loss: 0.05726835876703262, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2410/10000 [4:25:27<23:47:40, 11.29s/it]
                                                         
{'loss': 1.6904, 'grad_norm': 1.8910834789276123, 'learning_rate': 4.517672009824351e-05, 'epoch': 0.02}

 24%|██▍       | 2410/10000 [4:25:27<23:47:40, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9091342687606812, dino_loss: 0.7578125, depth_loss: 0.06516413390636444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9528819918632507, dino_loss: 0.6953125, depth_loss: 0.04599654674530029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2411/10000 [4:25:38<23:38:53, 11.22s/it]
                                                         
{'loss': 1.7134, 'grad_norm': 2.0468902587890625, 'learning_rate': 4.5171837477605404e-05, 'epoch': 0.02}

 24%|██▍       | 2411/10000 [4:25:38<23:38:53, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9653897881507874, dino_loss: 0.71875, depth_loss: 0.07581518590450287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9632011651992798, dino_loss: 0.703125, depth_loss: 0.06523168087005615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2412/10000 [4:25:50<23:42:18, 11.25s/it]
                                                         
{'loss': 1.7458, 'grad_norm': 2.992893934249878, 'learning_rate': 4.5166952651005486e-05, 'epoch': 0.02}

 24%|██▍       | 2412/10000 [4:25:50<23:42:18, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0496811866760254, dino_loss: 0.69140625, depth_loss: 0.0683121606707573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9834627509117126, dino_loss: 0.72265625, depth_loss: 0.0613061748445034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2413/10000 [4:26:00<23:31:16, 11.16s/it]
                                                         
{'loss': 1.7888, 'grad_norm': 0.8974065184593201, 'learning_rate': 4.516206561897794e-05, 'epoch': 0.02}

 24%|██▍       | 2413/10000 [4:26:00<23:31:16, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8685508966445923, dino_loss: 0.73046875, depth_loss: 0.06570397317409515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.067079782485962, dino_loss: 0.7109375, depth_loss: 0.06890619546175003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2414/10000 [4:26:12<23:28:02, 11.14s/it]
                                                         
{'loss': 1.7559, 'grad_norm': 2.16985821723938, 'learning_rate': 4.515717638205721e-05, 'epoch': 0.02}

 24%|██▍       | 2414/10000 [4:26:12<23:28:02, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9301121234893799, dino_loss: 0.68359375, depth_loss: 0.061850644648075104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8816840648651123, dino_loss: 0.6953125, depth_loss: 0.05270348861813545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2415/10000 [4:26:23<23:44:36, 11.27s/it]
                                                         
{'loss': 1.6527, 'grad_norm': 2.6657633781433105, 'learning_rate': 4.515228494077798e-05, 'epoch': 0.02}

 24%|██▍       | 2415/10000 [4:26:23<23:44:36, 11.27s/it]the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1100491285324097, dino_loss: 0.70703125, depth_loss: 0.06095757335424423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9048410058021545, dino_loss: 0.65625, depth_loss: 0.06213624030351639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2416/10000 [4:26:34<23:47:02, 11.29s/it]
                                                         
{'loss': 1.7507, 'grad_norm': 1.9845093488693237, 'learning_rate': 4.514739129567517e-05, 'epoch': 0.02}

 24%|██▍       | 2416/10000 [4:26:34<23:47:02, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0195623636245728, dino_loss: 0.6953125, depth_loss: 0.05226431041955948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0461196899414062, dino_loss: 0.72265625, depth_loss: 0.06910882890224457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2417/10000 [4:26:45<23:37:15, 11.21s/it]
                                                         
{'loss': 1.8026, 'grad_norm': 2.424546003341675, 'learning_rate': 4.514249544728393e-05, 'epoch': 0.02}

 24%|██▍       | 2417/10000 [4:26:46<23:37:15, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 6
seg_loss: 0.9781264662742615, dino_loss: 0.734375, depth_loss: 0.07516290247440338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0086753368377686, dino_loss: 0.64453125, depth_loss: 0.05735962465405464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2418/10000 [4:26:56<23:21:39, 11.09s/it]
                                                         
{'loss': 1.7492, 'grad_norm': 4.5815205574035645, 'learning_rate': 4.5137597396139676e-05, 'epoch': 0.02}

 24%|██▍       | 2418/10000 [4:26:56<23:21:39, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0627102851867676, dino_loss: 0.69921875, depth_loss: 0.06939651072025299, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9393388032913208, dino_loss: 0.70703125, depth_loss: 0.061950258910655975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2419/10000 [4:27:07<23:11:55, 11.02s/it]
                                                         
{'loss': 1.7699, 'grad_norm': 2.550327777862549, 'learning_rate': 4.513269714277805e-05, 'epoch': 0.02}

 24%|██▍       | 2419/10000 [4:27:07<23:11:55, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8869292140007019, dino_loss: 0.72265625, depth_loss: 0.07338119298219681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.900347888469696, dino_loss: 0.65625, depth_loss: 0.07321242988109589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2420/10000 [4:27:19<23:25:20, 11.12s/it]
                                                         
{'loss': 1.6564, 'grad_norm': 4.354312896728516, 'learning_rate': 4.512779468773494e-05, 'epoch': 0.02}

 24%|██▍       | 2420/10000 [4:27:19<23:25:20, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9879413843154907, dino_loss: 0.69921875, depth_loss: 0.08003106713294983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0272669792175293, dino_loss: 0.6875, depth_loss: 0.06252477318048477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2421/10000 [4:27:30<23:21:04, 11.09s/it]
                                                         
{'loss': 1.7723, 'grad_norm': 1.2560617923736572, 'learning_rate': 4.512289003154645e-05, 'epoch': 0.02}

 24%|██▍       | 2421/10000 [4:27:30<23:21:04, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9970782995223999, dino_loss: 0.71484375, depth_loss: 0.07407908886671066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.079033613204956, dino_loss: 0.7265625, depth_loss: 0.06572706252336502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2422/10000 [4:27:40<23:09:41, 11.00s/it]
                                                         
{'loss': 1.8287, 'grad_norm': 1.8505702018737793, 'learning_rate': 4.5117983174748966e-05, 'epoch': 0.02}

 24%|██▍       | 2422/10000 [4:27:40<23:09:41, 11.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8735442161560059, dino_loss: 0.671875, depth_loss: 0.0730329230427742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9658567905426025, dino_loss: 0.6953125, depth_loss: 0.06703580915927887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2423/10000 [4:27:52<23:15:58, 11.05s/it]
                                                         
{'loss': 1.6734, 'grad_norm': 1.7713243961334229, 'learning_rate': 4.51130741178791e-05, 'epoch': 0.02}

 24%|██▍       | 2423/10000 [4:27:52<23:15:58, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0398850440979004, dino_loss: 0.76953125, depth_loss: 0.06620913743972778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9535018801689148, dino_loss: 0.70703125, depth_loss: 0.06325405091047287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2424/10000 [4:28:04<24:11:54, 11.50s/it]
                                                         
{'loss': 1.7997, 'grad_norm': 2.115459442138672, 'learning_rate': 4.5108162861473665e-05, 'epoch': 0.02}

 24%|██▍       | 2424/10000 [4:28:04<24:11:54, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 2
seg_loss: 0.9809141159057617, dino_loss: 0.7109375, depth_loss: 0.06449936330318451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8278760313987732, dino_loss: 0.6953125, depth_loss: 0.06176268309354782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2425/10000 [4:28:16<24:14:57, 11.52s/it]
                                                         
{'loss': 1.6707, 'grad_norm': 2.980518102645874, 'learning_rate': 4.510324940606979e-05, 'epoch': 0.02}

 24%|██▍       | 2425/10000 [4:28:16<24:14:57, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2250540256500244, dino_loss: 0.67578125, depth_loss: 0.056640006601810455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 1.0606212615966797, dino_loss: 0.69140625, depth_loss: 0.05925525352358818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2426/10000 [4:28:27<24:00:22, 11.41s/it]
                                                         
{'loss': 1.8845, 'grad_norm': 3.4119644165039062, 'learning_rate': 4.509833375220478e-05, 'epoch': 0.02}

 24%|██▍       | 2426/10000 [4:28:27<24:00:22, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0243462324142456, dino_loss: 0.67578125, depth_loss: 0.056447938084602356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9222462773323059, dino_loss: 0.6640625, depth_loss: 0.04984539747238159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2427/10000 [4:28:38<23:44:48, 11.29s/it]
                                                         
{'loss': 1.6964, 'grad_norm': 2.7175042629241943, 'learning_rate': 4.50934159004162e-05, 'epoch': 0.02}

 24%|██▍       | 2427/10000 [4:28:38<23:44:48, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9844388365745544, dino_loss: 0.734375, depth_loss: 0.07896485924720764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1343284845352173, dino_loss: 0.7421875, depth_loss: 0.08906769752502441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2428/10000 [4:28:49<23:36:43, 11.23s/it]
                                                         
{'loss': 1.8817, 'grad_norm': 1.4785937070846558, 'learning_rate': 4.508849585124189e-05, 'epoch': 0.02}

 24%|██▍       | 2428/10000 [4:28:49<23:36:43, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9930900931358337, dino_loss: 0.73046875, depth_loss: 0.060973331332206726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9462320804595947, dino_loss: 0.70703125, depth_loss: 0.0805051401257515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2429/10000 [4:29:00<23:30:05, 11.17s/it]
                                                         
{'loss': 1.7593, 'grad_norm': 2.72977876663208, 'learning_rate': 4.5083573605219856e-05, 'epoch': 0.02}

 24%|██▍       | 2429/10000 [4:29:00<23:30:05, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0829054117202759, dino_loss: 0.671875, depth_loss: 0.0684000551700592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9097061157226562, dino_loss: 0.7578125, depth_loss: 0.05852643400430679, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2430/10000 [4:29:11<23:23:21, 11.12s/it]
                                                         
{'loss': 1.7746, 'grad_norm': 2.556875467300415, 'learning_rate': 4.5078649162888406e-05, 'epoch': 0.02}

 24%|██▍       | 2430/10000 [4:29:11<23:23:21, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0256952047348022, dino_loss: 0.6875, depth_loss: 0.05189243331551552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.156234860420227, dino_loss: 0.73046875, depth_loss: 0.06358017027378082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2431/10000 [4:29:22<23:28:34, 11.17s/it]
                                                         
{'loss': 1.8577, 'grad_norm': 2.216238498687744, 'learning_rate': 4.507372252478608e-05, 'epoch': 0.02}

 24%|██▍       | 2431/10000 [4:29:22<23:28:34, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8780841827392578, dino_loss: 0.73046875, depth_loss: 0.06254244595766068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0091280937194824, dino_loss: 0.71484375, depth_loss: 0.0609431117773056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2432/10000 [4:29:33<23:13:21, 11.05s/it]
                                                         
{'loss': 1.728, 'grad_norm': 1.8527342081069946, 'learning_rate': 4.5068793691451635e-05, 'epoch': 0.02}

 24%|██▍       | 2432/10000 [4:29:33<23:13:21, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8654283881187439, dino_loss: 0.74609375, depth_loss: 0.06517371535301208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9572969079017639, dino_loss: 0.66796875, depth_loss: 0.06819579750299454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2433/10000 [4:29:44<23:18:05, 11.09s/it]
                                                         
{'loss': 1.6851, 'grad_norm': 2.1717731952667236, 'learning_rate': 4.506386266342409e-05, 'epoch': 0.02}

 24%|██▍       | 2433/10000 [4:29:44<23:18:05, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.948091447353363, dino_loss: 0.6953125, depth_loss: 0.05090106278657913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9734398126602173, dino_loss: 0.828125, depth_loss: 0.08747353404760361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2434/10000 [4:29:55<23:14:50, 11.06s/it]
                                                         
{'loss': 1.7917, 'grad_norm': 1.9931641817092896, 'learning_rate': 4.5058929441242694e-05, 'epoch': 0.02}

 24%|██▍       | 2434/10000 [4:29:55<23:14:50, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9102262854576111, dino_loss: 0.70703125, depth_loss: 0.05481935292482376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9562395215034485, dino_loss: 0.70703125, depth_loss: 0.06390800327062607, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2435/10000 [4:30:06<23:23:43, 11.13s/it]
                                                         
{'loss': 1.6997, 'grad_norm': 1.3882536888122559, 'learning_rate': 4.505399402544692e-05, 'epoch': 0.02}

 24%|██▍       | 2435/10000 [4:30:06<23:23:43, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9930112957954407, dino_loss: 0.6796875, depth_loss: 0.06689062714576721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0718135833740234, dino_loss: 0.69140625, depth_loss: 0.08232921361923218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2436/10000 [4:30:18<23:32:38, 11.21s/it]
                                                         
{'loss': 1.7926, 'grad_norm': 1.627825140953064, 'learning_rate': 4.504905641657652e-05, 'epoch': 0.02}

 24%|██▍       | 2436/10000 [4:30:18<23:32:38, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9933668375015259, dino_loss: 0.70703125, depth_loss: 0.05257700756192207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0105259418487549, dino_loss: 0.75, depth_loss: 0.05963149666786194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2437/10000 [4:30:29<23:13:26, 11.05s/it]
                                                         
{'loss': 1.7866, 'grad_norm': 1.489967703819275, 'learning_rate': 4.504411661517144e-05, 'epoch': 0.02}

 24%|██▍       | 2437/10000 [4:30:29<23:13:26, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9357702732086182, dino_loss: 0.7421875, depth_loss: 0.07386212050914764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9538341760635376, dino_loss: 0.7578125, depth_loss: 0.05993819981813431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2438/10000 [4:30:40<23:11:51, 11.04s/it]
                                                         
{'loss': 1.7618, 'grad_norm': 1.6435235738754272, 'learning_rate': 4.503917462177192e-05, 'epoch': 0.02}

 24%|██▍       | 2438/10000 [4:30:40<23:11:51, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0570342540740967, dino_loss: 0.76953125, depth_loss: 0.08038420230150223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.960983395576477, dino_loss: 0.66015625, depth_loss: 0.052548617124557495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2439/10000 [4:30:51<23:22:28, 11.13s/it]
                                                         
{'loss': 1.7904, 'grad_norm': 2.0037734508514404, 'learning_rate': 4.5034230436918377e-05, 'epoch': 0.02}

 24%|██▍       | 2439/10000 [4:30:51<23:22:28, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8552388548851013, dino_loss: 0.75, depth_loss: 0.07011952996253967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.012965440750122, dino_loss: 0.7578125, depth_loss: 0.06420110166072845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2440/10000 [4:31:02<23:36:23, 11.24s/it]
                                                         
{'loss': 1.7552, 'grad_norm': 3.1363093852996826, 'learning_rate': 4.502928406115152e-05, 'epoch': 0.02}

 24%|██▍       | 2440/10000 [4:31:02<23:36:23, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0420851707458496, dino_loss: 0.734375, depth_loss: 0.060363221913576126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9444429874420166, dino_loss: 0.7421875, depth_loss: 0.053986236453056335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2441/10000 [4:31:13<23:25:13, 11.15s/it]
                                                         
{'loss': 1.7894, 'grad_norm': 2.6401546001434326, 'learning_rate': 4.502433549501228e-05, 'epoch': 0.02}

 24%|██▍       | 2441/10000 [4:31:13<23:25:13, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.017195224761963, dino_loss: 0.7109375, depth_loss: 0.07508194446563721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9611423015594482, dino_loss: 0.67578125, depth_loss: 0.05833558738231659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2442/10000 [4:31:24<23:25:45, 11.16s/it]
                                                         
{'loss': 1.7493, 'grad_norm': 3.266185760498047, 'learning_rate': 4.5019384739041804e-05, 'epoch': 0.02}

 24%|██▍       | 2442/10000 [4:31:24<23:25:45, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9328255653381348, dino_loss: 0.6640625, depth_loss: 0.06211497262120247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9915792942047119, dino_loss: 0.71484375, depth_loss: 0.10070626437664032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2443/10000 [4:31:36<23:33:12, 11.22s/it]
                                                         
{'loss': 1.7331, 'grad_norm': 1.8705295324325562, 'learning_rate': 4.501443179378152e-05, 'epoch': 0.02}

 24%|██▍       | 2443/10000 [4:31:36<23:33:12, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9913020133972168, dino_loss: 0.76171875, depth_loss: 0.08979451656341553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9970144629478455, dino_loss: 0.74609375, depth_loss: 0.07712940871715546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2444/10000 [4:31:47<23:23:35, 11.15s/it]
                                                         
{'loss': 1.8316, 'grad_norm': 3.383681058883667, 'learning_rate': 4.500947665977306e-05, 'epoch': 0.02}

 24%|██▍       | 2444/10000 [4:31:47<23:23:35, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8330151438713074, dino_loss: 0.67578125, depth_loss: 0.05518677830696106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.026587963104248, dino_loss: 0.7109375, depth_loss: 0.06710045784711838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2445/10000 [4:31:58<23:22:03, 11.13s/it]
                                                         
{'loss': 1.6844, 'grad_norm': 2.5728187561035156, 'learning_rate': 4.500451933755833e-05, 'epoch': 0.02}

 24%|██▍       | 2445/10000 [4:31:58<23:22:03, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.9831042289733887, dino_loss: 0.7265625, depth_loss: 0.05950844660401344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9988157749176025, dino_loss: 0.7109375, depth_loss: 0.06304696202278137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2446/10000 [4:32:09<23:15:46, 11.09s/it]
                                                         
{'loss': 1.7711, 'grad_norm': 32.62267303466797, 'learning_rate': 4.499955982767943e-05, 'epoch': 0.02}

 24%|██▍       | 2446/10000 [4:32:09<23:15:46, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0069024562835693, dino_loss: 0.66796875, depth_loss: 0.05972479283809662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0159482955932617, dino_loss: 0.70703125, depth_loss: 0.08174298703670502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2447/10000 [4:32:20<23:32:01, 11.22s/it]
                                                         
{'loss': 1.7697, 'grad_norm': 2.911128282546997, 'learning_rate': 4.499459813067873e-05, 'epoch': 0.02}

 24%|██▍       | 2447/10000 [4:32:20<23:32:01, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8970081806182861, dino_loss: 0.71875, depth_loss: 0.06435301154851913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9166117906570435, dino_loss: 0.69140625, depth_loss: 0.06756249070167542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2448/10000 [4:32:31<23:25:16, 11.16s/it]
                                                         
{'loss': 1.6779, 'grad_norm': 2.7405428886413574, 'learning_rate': 4.4989634247098843e-05, 'epoch': 0.02}

 24%|██▍       | 2448/10000 [4:32:31<23:25:16, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8304036259651184, dino_loss: 0.66796875, depth_loss: 0.05489587038755417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8376590609550476, dino_loss: 0.68359375, depth_loss: 0.05155779793858528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2449/10000 [4:32:42<23:14:04, 11.08s/it]
                                                         
{'loss': 1.5631, 'grad_norm': 1.8247190713882446, 'learning_rate': 4.498466817748262e-05, 'epoch': 0.02}

 24%|██▍       | 2449/10000 [4:32:42<23:14:04, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0496416091918945, dino_loss: 0.71484375, depth_loss: 0.0709569975733757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0454760789871216, dino_loss: 0.7265625, depth_loss: 0.059614188969135284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 24%|██▍       | 2450/10000 [4:32:53<23:05:12, 11.01s/it]
                                                         
{'loss': 1.8428, 'grad_norm': 10.378780364990234, 'learning_rate': 4.497969992237312e-05, 'epoch': 0.02}

 24%|██▍       | 2450/10000 [4:32:53<23:05:12, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8727796673774719, dino_loss: 0.7265625, depth_loss: 0.08410989493131638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8977293372154236, dino_loss: 0.734375, depth_loss: 0.0632113441824913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2451/10000 [4:33:05<23:50:55, 11.37s/it]
                                                         
{'loss': 1.6899, 'grad_norm': 1.7823221683502197, 'learning_rate': 4.497472948231368e-05, 'epoch': 0.02}

 25%|██▍       | 2451/10000 [4:33:05<23:50:55, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9891328811645508, dino_loss: 0.72265625, depth_loss: 0.0739772617816925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0093730688095093, dino_loss: 0.70703125, depth_loss: 0.06016307696700096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2452/10000 [4:33:16<23:29:52, 11.21s/it]
                                                         
{'loss': 1.7813, 'grad_norm': 6.158448696136475, 'learning_rate': 4.4969756857847854e-05, 'epoch': 0.02}

 25%|██▍       | 2452/10000 [4:33:16<23:29:52, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9380835890769958, dino_loss: 0.73828125, depth_loss: 0.08421662449836731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9828513860702515, dino_loss: 0.69140625, depth_loss: 0.06811662018299103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2453/10000 [4:33:27<23:29:04, 11.20s/it]
                                                         
{'loss': 1.7516, 'grad_norm': 3.4771456718444824, 'learning_rate': 4.496478204951945e-05, 'epoch': 0.02}

 25%|██▍       | 2453/10000 [4:33:27<23:29:04, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0020546913146973, dino_loss: 0.7421875, depth_loss: 0.09354954957962036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.050000786781311, dino_loss: 0.67578125, depth_loss: 0.05025139078497887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2454/10000 [4:33:39<23:40:56, 11.30s/it]
                                                         
{'loss': 1.8071, 'grad_norm': 7.048118591308594, 'learning_rate': 4.4959805057872486e-05, 'epoch': 0.02}

 25%|██▍       | 2454/10000 [4:33:39<23:40:56, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.870951771736145, dino_loss: 0.73046875, depth_loss: 0.07184677571058273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9199440479278564, dino_loss: 0.6875, depth_loss: 0.06102471798658371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2455/10000 [4:33:50<23:36:57, 11.27s/it]
                                                         
{'loss': 1.671, 'grad_norm': 2.4309585094451904, 'learning_rate': 4.495482588345126e-05, 'epoch': 0.02}

 25%|██▍       | 2455/10000 [4:33:50<23:36:57, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0227349996566772, dino_loss: 0.71875, depth_loss: 0.0623418353497982, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0328269004821777, dino_loss: 0.7109375, depth_loss: 0.06550893187522888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2456/10000 [4:34:01<23:36:17, 11.26s/it]
                                                         
{'loss': 1.8067, 'grad_norm': 2.7919580936431885, 'learning_rate': 4.4949844526800264e-05, 'epoch': 0.02}

 25%|██▍       | 2456/10000 [4:34:01<23:36:17, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9457511305809021, dino_loss: 0.6953125, depth_loss: 0.06983499974012375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9625169038772583, dino_loss: 0.703125, depth_loss: 0.051616206765174866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2457/10000 [4:34:13<23:44:48, 11.33s/it]
                                                         
{'loss': 1.7145, 'grad_norm': 3.403998613357544, 'learning_rate': 4.4944860988464276e-05, 'epoch': 0.02}

 25%|██▍       | 2457/10000 [4:34:13<23:44:48, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9872515201568604, dino_loss: 0.69921875, depth_loss: 0.05438092723488808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9478137493133545, dino_loss: 0.703125, depth_loss: 0.08831046521663666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2458/10000 [4:34:24<23:44:04, 11.33s/it]
                                                         
{'loss': 1.7423, 'grad_norm': 2.629631757736206, 'learning_rate': 4.4939875268988273e-05, 'epoch': 0.02}

 25%|██▍       | 2458/10000 [4:34:24<23:44:04, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.134310245513916, dino_loss: 0.70703125, depth_loss: 0.06250737607479095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8087472915649414, dino_loss: 0.72265625, depth_loss: 0.06361906975507736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2459/10000 [4:34:35<23:35:18, 11.26s/it]
                                                         
{'loss': 1.7498, 'grad_norm': 4.330638885498047, 'learning_rate': 4.493488736891749e-05, 'epoch': 0.02}

 25%|██▍       | 2459/10000 [4:34:35<23:35:18, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9887082576751709, dino_loss: 0.7109375, depth_loss: 0.06483763456344604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9573383331298828, dino_loss: 0.71484375, depth_loss: 0.06354620307683945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2460/10000 [4:34:47<23:48:53, 11.37s/it]
                                                         
{'loss': 1.7502, 'grad_norm': 2.9075169563293457, 'learning_rate': 4.49298972887974e-05, 'epoch': 0.02}

 25%|██▍       | 2460/10000 [4:34:47<23:48:53, 11.37s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.823693573474884, dino_loss: 0.75390625, depth_loss: 0.05532171204686165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0035529136657715, dino_loss: 0.734375, depth_loss: 0.0638943761587143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2461/10000 [4:34:58<23:45:30, 11.35s/it]
                                                         
{'loss': 1.7178, 'grad_norm': 1.4923813343048096, 'learning_rate': 4.49249050291737e-05, 'epoch': 0.02}

 25%|██▍       | 2461/10000 [4:34:58<23:45:30, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8615961670875549, dino_loss: 0.70703125, depth_loss: 0.06522775441408157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8597885966300964, dino_loss: 0.72265625, depth_loss: 0.08487900346517563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2462/10000 [4:35:09<23:39:52, 11.30s/it]
                                                         
{'loss': 1.6517, 'grad_norm': 4.232454776763916, 'learning_rate': 4.491991059059235e-05, 'epoch': 0.02}

 25%|██▍       | 2462/10000 [4:35:09<23:39:52, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9330322742462158, dino_loss: 0.703125, depth_loss: 0.06997127085924149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1340446472167969, dino_loss: 0.63671875, depth_loss: 0.06370308250188828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2463/10000 [4:35:21<23:37:55, 11.29s/it]
                                                         
{'loss': 1.772, 'grad_norm': 7.263999938964844, 'learning_rate': 4.491491397359952e-05, 'epoch': 0.02}

 25%|██▍       | 2463/10000 [4:35:21<23:37:55, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9448338747024536, dino_loss: 0.6875, depth_loss: 0.04949578642845154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0453157424926758, dino_loss: 0.6796875, depth_loss: 0.08872644603252411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2464/10000 [4:35:32<23:41:16, 11.32s/it]
                                                         
{'loss': 1.748, 'grad_norm': 5.110044002532959, 'learning_rate': 4.490991517874165e-05, 'epoch': 0.02}

 25%|██▍       | 2464/10000 [4:35:32<23:41:16, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8330488204956055, dino_loss: 0.6484375, depth_loss: 0.062478646636009216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1112924814224243, dino_loss: 0.69140625, depth_loss: 0.06634210795164108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2465/10000 [4:35:43<23:37:23, 11.29s/it]
                                                         
{'loss': 1.7066, 'grad_norm': 1.7948075532913208, 'learning_rate': 4.490491420656537e-05, 'epoch': 0.02}

 25%|██▍       | 2465/10000 [4:35:43<23:37:23, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8930075168609619, dino_loss: 0.67578125, depth_loss: 0.06914576888084412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.02377450466156, dino_loss: 0.703125, depth_loss: 0.07113450765609741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2466/10000 [4:35:54<23:27:54, 11.21s/it]
                                                         
{'loss': 1.7184, 'grad_norm': 1.8298461437225342, 'learning_rate': 4.489991105761762e-05, 'epoch': 0.02}

 25%|██▍       | 2466/10000 [4:35:54<23:27:54, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.075537085533142, dino_loss: 0.67578125, depth_loss: 0.06262941658496857, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0732671022415161, dino_loss: 0.7265625, depth_loss: 0.05536242201924324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2467/10000 [4:36:06<23:51:34, 11.40s/it]
                                                         
{'loss': 1.8346, 'grad_norm': 4.800569534301758, 'learning_rate': 4.48949057324455e-05, 'epoch': 0.02}

 25%|██▍       | 2467/10000 [4:36:06<23:51:34, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0192128419876099, dino_loss: 0.70703125, depth_loss: 0.06118553504347801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8949377536773682, dino_loss: 0.625, depth_loss: 0.059000417590141296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2468/10000 [4:36:17<23:37:11, 11.29s/it]
                                                         
{'loss': 1.6833, 'grad_norm': 4.357138633728027, 'learning_rate': 4.488989823159641e-05, 'epoch': 0.02}

 25%|██▍       | 2468/10000 [4:36:17<23:37:11, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8415493369102478, dino_loss: 0.6484375, depth_loss: 0.048806142061948776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9487406015396118, dino_loss: 0.71875, depth_loss: 0.07779525965452194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2469/10000 [4:36:29<23:45:38, 11.36s/it]
                                                         
{'loss': 1.6421, 'grad_norm': 2.6826188564300537, 'learning_rate': 4.488488855561795e-05, 'epoch': 0.02}

 25%|██▍       | 2469/10000 [4:36:29<23:45:38, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0488229990005493, dino_loss: 0.70703125, depth_loss: 0.05718698352575302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0378988981246948, dino_loss: 0.7265625, depth_loss: 0.058688387274742126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2470/10000 [4:36:39<23:13:09, 11.10s/it]
                                                         
{'loss': 1.8181, 'grad_norm': 2.5104122161865234, 'learning_rate': 4.487987670505798e-05, 'epoch': 0.02}

 25%|██▍       | 2470/10000 [4:36:39<23:13:09, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8510240316390991, dino_loss: 0.64453125, depth_loss: 0.059469643980264664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8377399444580078, dino_loss: 0.69140625, depth_loss: 0.04907321557402611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2471/10000 [4:36:50<23:17:21, 11.14s/it]
                                                         
{'loss': 1.5667, 'grad_norm': 2.237016201019287, 'learning_rate': 4.487486268046458e-05, 'epoch': 0.02}

 25%|██▍       | 2471/10000 [4:36:50<23:17:21, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9377771019935608, dino_loss: 0.6953125, depth_loss: 0.07345250248908997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.944939911365509, dino_loss: 0.7109375, depth_loss: 0.07568693161010742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2472/10000 [4:37:02<23:25:23, 11.20s/it]
                                                         
{'loss': 1.7191, 'grad_norm': 1.9370285272598267, 'learning_rate': 4.486984648238607e-05, 'epoch': 0.02}

 25%|██▍       | 2472/10000 [4:37:02<23:25:23, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8558496236801147, dino_loss: 0.6953125, depth_loss: 0.06869246065616608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9042671918869019, dino_loss: 0.75390625, depth_loss: 0.07563960552215576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2473/10000 [4:37:14<23:54:02, 11.43s/it]
                                                         
{'loss': 1.6769, 'grad_norm': 2.5880191326141357, 'learning_rate': 4.4864828111371024e-05, 'epoch': 0.02}

 25%|██▍       | 2473/10000 [4:37:14<23:54:02, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8156648874282837, dino_loss: 0.68359375, depth_loss: 0.04134853184223175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9617923498153687, dino_loss: 0.70703125, depth_loss: 0.08244869112968445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2474/10000 [4:37:24<23:26:13, 11.21s/it]
                                                         
{'loss': 1.646, 'grad_norm': 1.7595542669296265, 'learning_rate': 4.485980756796825e-05, 'epoch': 0.02}

 25%|██▍       | 2474/10000 [4:37:24<23:26:13, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8977054357528687, dino_loss: 0.71484375, depth_loss: 0.0609874464571476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0448030233383179, dino_loss: 0.77734375, depth_loss: 0.06591764092445374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2475/10000 [4:37:35<23:01:18, 11.01s/it]
                                                         
{'loss': 1.7808, 'grad_norm': 1.4383643865585327, 'learning_rate': 4.4854784852726776e-05, 'epoch': 0.02}

 25%|██▍       | 2475/10000 [4:37:35<23:01:18, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8783228397369385, dino_loss: 0.625, depth_loss: 0.05218641087412834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9676215648651123, dino_loss: 0.7734375, depth_loss: 0.06678148359060287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2476/10000 [4:37:46<23:06:15, 11.05s/it]
                                                         
{'loss': 1.6817, 'grad_norm': 2.64825701713562, 'learning_rate': 4.484975996619589e-05, 'epoch': 0.02}

 25%|██▍       | 2476/10000 [4:37:46<23:06:15, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0236883163452148, dino_loss: 0.71484375, depth_loss: 0.06372183561325073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9285870790481567, dino_loss: 0.7109375, depth_loss: 0.06637974828481674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2477/10000 [4:37:57<22:40:07, 10.85s/it]
                                                         
{'loss': 1.7541, 'grad_norm': 2.1559090614318848, 'learning_rate': 4.4844732908925084e-05, 'epoch': 0.02}

 25%|██▍       | 2477/10000 [4:37:57<22:40:07, 10.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9593651294708252, dino_loss: 0.74609375, depth_loss: 0.05953112244606018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9998168349266052, dino_loss: 0.6640625, depth_loss: 0.069800466299057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2478/10000 [4:38:08<22:46:12, 10.90s/it]
                                                         
{'loss': 1.7494, 'grad_norm': 1.5271787643432617, 'learning_rate': 4.483970368146413e-05, 'epoch': 0.02}

 25%|██▍       | 2478/10000 [4:38:08<22:46:12, 10.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031436562538147, dino_loss: 0.71484375, depth_loss: 0.06254055351018906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9395667910575867, dino_loss: 0.703125, depth_loss: 0.06516939401626587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2479/10000 [4:38:19<22:51:41, 10.94s/it]
                                                         
{'loss': 1.7584, 'grad_norm': 1.5196506977081299, 'learning_rate': 4.483467228436301e-05, 'epoch': 0.02}

 25%|██▍       | 2479/10000 [4:38:19<22:51:41, 10.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1429545879364014, dino_loss: 0.703125, depth_loss: 0.07250392436981201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0255160331726074, dino_loss: 0.73828125, depth_loss: 0.07447697222232819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2480/10000 [4:38:29<22:43:09, 10.88s/it]
                                                         
{'loss': 1.8785, 'grad_norm': 2.0028042793273926, 'learning_rate': 4.4829638718171954e-05, 'epoch': 0.02}

 25%|██▍       | 2480/10000 [4:38:29<22:43:09, 10.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9621253609657288, dino_loss: 0.71875, depth_loss: 0.06761515140533447, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8643888831138611, dino_loss: 0.66796875, depth_loss: 0.052748799324035645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2481/10000 [4:38:41<22:58:27, 11.00s/it]
                                                         
{'loss': 1.6668, 'grad_norm': 2.368055582046509, 'learning_rate': 4.482460298344141e-05, 'epoch': 0.02}

 25%|██▍       | 2481/10000 [4:38:41<22:58:27, 11.00s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7920693755149841, dino_loss: 0.66015625, depth_loss: 0.030273377895355225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9735269546508789, dino_loss: 0.6796875, depth_loss: 0.0509047769010067, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2482/10000 [4:38:51<22:55:02, 10.97s/it]
                                                         
{'loss': 1.5933, 'grad_norm': 1.4766929149627686, 'learning_rate': 4.4819565080722095e-05, 'epoch': 0.02}

 25%|██▍       | 2482/10000 [4:38:51<22:55:02, 10.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9490902423858643, dino_loss: 0.703125, depth_loss: 0.05812878906726837, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0261015892028809, dino_loss: 0.69140625, depth_loss: 0.05686785280704498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2483/10000 [4:39:03<23:07:26, 11.07s/it]
                                                         
{'loss': 1.7424, 'grad_norm': 2.937659978866577, 'learning_rate': 4.4814525010564945e-05, 'epoch': 0.02}

 25%|██▍       | 2483/10000 [4:39:03<23:07:26, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9425833225250244, dino_loss: 0.6796875, depth_loss: 0.04434363543987274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9401801824569702, dino_loss: 0.69921875, depth_loss: 0.0567435547709465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2484/10000 [4:39:14<22:59:37, 11.01s/it]
                                                         
{'loss': 1.6814, 'grad_norm': 1.420436978340149, 'learning_rate': 4.480948277352113e-05, 'epoch': 0.02}

 25%|██▍       | 2484/10000 [4:39:14<22:59:37, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.059190034866333, dino_loss: 0.70703125, depth_loss: 0.059789299964904785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9146198630332947, dino_loss: 0.67578125, depth_loss: 0.045024558901786804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2485/10000 [4:39:25<23:12:37, 11.12s/it]
                                                         
{'loss': 1.7308, 'grad_norm': 1.6726047992706299, 'learning_rate': 4.480443837014205e-05, 'epoch': 0.02}

 25%|██▍       | 2485/10000 [4:39:25<23:12:37, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.881291389465332, dino_loss: 0.70703125, depth_loss: 0.06628504395484924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.041391372680664, dino_loss: 0.65625, depth_loss: 0.06899167597293854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2486/10000 [4:39:37<23:37:51, 11.32s/it]
                                                         
{'loss': 1.7107, 'grad_norm': 2.072831392288208, 'learning_rate': 4.479939180097938e-05, 'epoch': 0.02}

 25%|██▍       | 2486/10000 [4:39:37<23:37:51, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9959242343902588, dino_loss: 0.71875, depth_loss: 0.07567985355854034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9399986267089844, dino_loss: 0.6953125, depth_loss: 0.06231261417269707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2487/10000 [4:39:48<23:33:50, 11.29s/it]
                                                         
{'loss': 1.744, 'grad_norm': 1.8239449262619019, 'learning_rate': 4.479434306658498e-05, 'epoch': 0.02}

 25%|██▍       | 2487/10000 [4:39:48<23:33:50, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0483134984970093, dino_loss: 0.73046875, depth_loss: 0.06655297428369522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.084551215171814, dino_loss: 0.6953125, depth_loss: 0.05879126861691475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2488/10000 [4:39:59<23:27:12, 11.24s/it]
                                                         
{'loss': 1.8421, 'grad_norm': 1.9663686752319336, 'learning_rate': 4.478929216751099e-05, 'epoch': 0.02}

 25%|██▍       | 2488/10000 [4:39:59<23:27:12, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9419879913330078, dino_loss: 0.70703125, depth_loss: 0.06496785581111908, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9893468618392944, dino_loss: 0.6640625, depth_loss: 0.07163818925619125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2489/10000 [4:40:10<23:12:09, 11.12s/it]
                                                         
{'loss': 1.7196, 'grad_norm': 1.464613914489746, 'learning_rate': 4.478423910430975e-05, 'epoch': 0.02}

 25%|██▍       | 2489/10000 [4:40:10<23:12:09, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9164948463439941, dino_loss: 0.640625, depth_loss: 0.054366953670978546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0213950872421265, dino_loss: 0.74609375, depth_loss: 0.07205682247877121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2490/10000 [4:40:22<23:26:31, 11.24s/it]
                                                         
{'loss': 1.7342, 'grad_norm': 4.3503899574279785, 'learning_rate': 4.477918387753388e-05, 'epoch': 0.02}

 25%|██▍       | 2490/10000 [4:40:22<23:26:31, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0460729598999023, dino_loss: 0.734375, depth_loss: 0.06847693026065826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8028197288513184, dino_loss: 0.671875, depth_loss: 0.07504861801862717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2491/10000 [4:40:32<23:15:44, 11.15s/it]
                                                         
{'loss': 1.6994, 'grad_norm': 1.9346001148223877, 'learning_rate': 4.47741264877362e-05, 'epoch': 0.02}

 25%|██▍       | 2491/10000 [4:40:32<23:15:44, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9223093390464783, dino_loss: 0.66015625, depth_loss: 0.06275373697280884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.137632966041565, dino_loss: 0.75, depth_loss: 0.060815587639808655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2492/10000 [4:40:44<23:15:35, 11.15s/it]
                                                         
{'loss': 1.7969, 'grad_norm': 3.3933119773864746, 'learning_rate': 4.476906693546977e-05, 'epoch': 0.02}

 25%|██▍       | 2492/10000 [4:40:44<23:15:35, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8419708013534546, dino_loss: 0.7265625, depth_loss: 0.055401310324668884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0805718898773193, dino_loss: 0.71484375, depth_loss: 0.05686546862125397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2493/10000 [4:40:54<22:59:27, 11.03s/it]
                                                         
{'loss': 1.7382, 'grad_norm': 2.0753161907196045, 'learning_rate': 4.476400522128791e-05, 'epoch': 0.02}

 25%|██▍       | 2493/10000 [4:40:54<22:59:27, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031771183013916, dino_loss: 0.74609375, depth_loss: 0.061770111322402954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.051283836364746, dino_loss: 0.71484375, depth_loss: 0.0563468411564827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2494/10000 [4:41:05<22:52:02, 10.97s/it]
                                                         
{'loss': 1.8311, 'grad_norm': 1.0860116481781006, 'learning_rate': 4.4758941345744146e-05, 'epoch': 0.02}

 25%|██▍       | 2494/10000 [4:41:05<22:52:02, 10.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9587771892547607, dino_loss: 0.70703125, depth_loss: 0.06922639161348343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0168532133102417, dino_loss: 0.68359375, depth_loss: 0.08144672960042953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2495/10000 [4:41:16<22:50:36, 10.96s/it]
                                                         
{'loss': 1.7586, 'grad_norm': 1.9261865615844727, 'learning_rate': 4.4753875309392266e-05, 'epoch': 0.02}

 25%|██▍       | 2495/10000 [4:41:16<22:50:36, 10.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9838991165161133, dino_loss: 0.671875, depth_loss: 0.060709431767463684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0103802680969238, dino_loss: 0.6796875, depth_loss: 0.05538884550333023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2496/10000 [4:41:27<23:03:37, 11.06s/it]
                                                         
{'loss': 1.7311, 'grad_norm': 2.471877098083496, 'learning_rate': 4.474880711278628e-05, 'epoch': 0.02}

 25%|██▍       | 2496/10000 [4:41:27<23:03:37, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8865511417388916, dino_loss: 0.69140625, depth_loss: 0.0773027315735817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0201380252838135, dino_loss: 0.6796875, depth_loss: 0.06381340324878693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2497/10000 [4:41:38<22:59:35, 11.03s/it]
                                                         
{'loss': 1.7095, 'grad_norm': 3.8031203746795654, 'learning_rate': 4.474373675648044e-05, 'epoch': 0.02}

 25%|██▍       | 2497/10000 [4:41:38<22:59:35, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9454206228256226, dino_loss: 0.67578125, depth_loss: 0.06531055271625519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8757818341255188, dino_loss: 0.74609375, depth_loss: 0.08080413937568665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2498/10000 [4:41:50<23:04:08, 11.07s/it]
                                                         
{'loss': 1.6946, 'grad_norm': 1.482415795326233, 'learning_rate': 4.473866424102923e-05, 'epoch': 0.02}

 25%|██▍       | 2498/10000 [4:41:50<23:04:08, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1941050291061401, dino_loss: 0.69140625, depth_loss: 0.08343178033828735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9061219692230225, dino_loss: 0.703125, depth_loss: 0.0629114881157875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▍       | 2499/10000 [4:42:01<22:59:32, 11.03s/it]
                                                         
{'loss': 1.8206, 'grad_norm': 1.6045700311660767, 'learning_rate': 4.473358956698738e-05, 'epoch': 0.02}

 25%|██▍       | 2499/10000 [4:42:01<22:59:32, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9220097064971924, dino_loss: 0.734375, depth_loss: 0.06635760515928268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.040245771408081, dino_loss: 0.671875, depth_loss: 0.06402893364429474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2500/10000 [4:42:12<23:12:31, 11.14s/it]
                                                         
{'loss': 1.7495, 'grad_norm': 3.545814275741577, 'learning_rate': 4.4728512734909844e-05, 'epoch': 0.02}

 25%|██▌       | 2500/10000 [4:42:12<23:12:31, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9612090587615967, dino_loss: 0.78125, depth_loss: 0.06342987716197968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9618538618087769, dino_loss: 0.72265625, depth_loss: 0.06878412514925003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2501/10000 [4:42:23<22:57:54, 11.02s/it]
                                                         
{'loss': 1.7797, 'grad_norm': 1.9938493967056274, 'learning_rate': 4.4723433745351815e-05, 'epoch': 0.02}

 25%|██▌       | 2501/10000 [4:42:23<22:57:54, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0281521081924438, dino_loss: 0.66015625, depth_loss: 0.05103130638599396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8712424039840698, dino_loss: 0.71484375, depth_loss: 0.06671173870563507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2502/10000 [4:42:34<22:58:07, 11.03s/it]
                                                         
{'loss': 1.6961, 'grad_norm': 1.8415980339050293, 'learning_rate': 4.4718352598868723e-05, 'epoch': 0.02}

 25%|██▌       | 2502/10000 [4:42:34<22:58:07, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8869916200637817, dino_loss: 0.68359375, depth_loss: 0.07479079812765121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9976762533187866, dino_loss: 0.75390625, depth_loss: 0.0913652703166008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2503/10000 [4:42:45<23:07:07, 11.10s/it]
                                                         
{'loss': 1.7442, 'grad_norm': 1.303626537322998, 'learning_rate': 4.471326929601624e-05, 'epoch': 0.02}

 25%|██▌       | 2503/10000 [4:42:45<23:07:07, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0257238149642944, dino_loss: 0.64453125, depth_loss: 0.0625728964805603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9065151810646057, dino_loss: 0.69921875, depth_loss: 0.05715689808130264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2504/10000 [4:42:56<23:12:29, 11.15s/it]
                                                         
{'loss': 1.6979, 'grad_norm': 1.417374610900879, 'learning_rate': 4.470818383735027e-05, 'epoch': 0.02}

 25%|██▌       | 2504/10000 [4:42:56<23:12:29, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9452300071716309, dino_loss: 0.68359375, depth_loss: 0.05891728401184082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0767121315002441, dino_loss: 0.68359375, depth_loss: 0.0594366118311882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2505/10000 [4:43:08<23:20:27, 11.21s/it]
                                                         
{'loss': 1.7538, 'grad_norm': 1.9532006978988647, 'learning_rate': 4.470309622342694e-05, 'epoch': 0.02}

 25%|██▌       | 2505/10000 [4:43:08<23:20:27, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9017462730407715, dino_loss: 0.67578125, depth_loss: 0.058880407363176346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0103068351745605, dino_loss: 0.69921875, depth_loss: 0.04755135625600815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2506/10000 [4:43:19<23:39:02, 11.36s/it]
                                                         
{'loss': 1.6968, 'grad_norm': 2.9681174755096436, 'learning_rate': 4.469800645480263e-05, 'epoch': 0.02}

 25%|██▌       | 2506/10000 [4:43:19<23:39:02, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052648663520813, dino_loss: 0.71875, depth_loss: 0.07984568178653717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9673946499824524, dino_loss: 0.7265625, depth_loss: 0.0599859356880188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2507/10000 [4:43:30<23:24:58, 11.25s/it]
                                                         
{'loss': 1.8026, 'grad_norm': 1.8433778285980225, 'learning_rate': 4.469291453203395e-05, 'epoch': 0.02}

 25%|██▌       | 2507/10000 [4:43:30<23:24:58, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9235691428184509, dino_loss: 0.6640625, depth_loss: 0.056211721152067184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.98384028673172, dino_loss: 0.75390625, depth_loss: 0.06318942457437515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2508/10000 [4:43:42<23:24:25, 11.25s/it]
                                                         
{'loss': 1.7224, 'grad_norm': 2.1546409130096436, 'learning_rate': 4.468782045567775e-05, 'epoch': 0.02}

 25%|██▌       | 2508/10000 [4:43:42<23:24:25, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052605390548706, dino_loss: 0.75390625, depth_loss: 0.08153048157691956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8943078517913818, dino_loss: 0.6328125, depth_loss: 0.04520638659596443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2509/10000 [4:43:52<23:06:02, 11.10s/it]
                                                         
{'loss': 1.7302, 'grad_norm': 1.5890923738479614, 'learning_rate': 4.46827242262911e-05, 'epoch': 0.02}

 25%|██▌       | 2509/10000 [4:43:52<23:06:02, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.057586431503296, dino_loss: 0.71875, depth_loss: 0.08641810715198517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0348072052001953, dino_loss: 0.62890625, depth_loss: 0.05028090626001358, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2510/10000 [4:44:03<22:57:41, 11.04s/it]
                                                         
{'loss': 1.7885, 'grad_norm': 2.3349363803863525, 'learning_rate': 4.467762584443131e-05, 'epoch': 0.02}

 25%|██▌       | 2510/10000 [4:44:03<22:57:41, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9941070079803467, dino_loss: 0.73046875, depth_loss: 0.07486111670732498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0471556186676025, dino_loss: 0.69140625, depth_loss: 0.0755026787519455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2511/10000 [4:44:14<22:57:36, 11.04s/it]
                                                         
{'loss': 1.8068, 'grad_norm': 2.9211292266845703, 'learning_rate': 4.4672525310655965e-05, 'epoch': 0.02}

 25%|██▌       | 2511/10000 [4:44:14<22:57:36, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8989806175231934, dino_loss: 0.6953125, depth_loss: 0.056522682309150696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9109581112861633, dino_loss: 0.71875, depth_loss: 0.06779611110687256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2512/10000 [4:44:25<22:41:24, 10.91s/it]
                                                         
{'loss': 1.6742, 'grad_norm': 1.772200584411621, 'learning_rate': 4.466742262552281e-05, 'epoch': 0.02}

 25%|██▌       | 2512/10000 [4:44:25<22:41:24, 10.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9632086157798767, dino_loss: 0.70703125, depth_loss: 0.06831639260053635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9013928771018982, dino_loss: 0.703125, depth_loss: 0.08391256630420685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2513/10000 [4:44:36<23:05:56, 11.11s/it]
                                                         
{'loss': 1.7136, 'grad_norm': 1.908707618713379, 'learning_rate': 4.4662317789589904e-05, 'epoch': 0.02}

 25%|██▌       | 2513/10000 [4:44:36<23:05:56, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8570129871368408, dino_loss: 0.66015625, depth_loss: 0.06382917612791061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9790527820587158, dino_loss: 0.69140625, depth_loss: 0.05005142092704773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2514/10000 [4:44:48<23:12:46, 11.16s/it]
                                                         
{'loss': 1.6508, 'grad_norm': 3.780785083770752, 'learning_rate': 4.465721080341547e-05, 'epoch': 0.02}

 25%|██▌       | 2514/10000 [4:44:48<23:12:46, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1760656833648682, dino_loss: 0.71875, depth_loss: 0.06973539292812347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7951866984367371, dino_loss: 0.7578125, depth_loss: 0.07159878313541412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2515/10000 [4:44:59<23:29:52, 11.30s/it]
                                                         
{'loss': 1.7946, 'grad_norm': 3.334737539291382, 'learning_rate': 4.465210166755803e-05, 'epoch': 0.02}

 25%|██▌       | 2515/10000 [4:44:59<23:29:52, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0227361917495728, dino_loss: 0.69921875, depth_loss: 0.0664798766374588, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9622469544410706, dino_loss: 0.64453125, depth_loss: 0.05852001532912254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2516/10000 [4:45:10<23:17:28, 11.20s/it]
                                                         
{'loss': 1.727, 'grad_norm': 4.083311080932617, 'learning_rate': 4.4646990382576295e-05, 'epoch': 0.02}

 25%|██▌       | 2516/10000 [4:45:10<23:17:28, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9636774063110352, dino_loss: 0.68359375, depth_loss: 0.06669536232948303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9441466331481934, dino_loss: 0.68359375, depth_loss: 0.06212983652949333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2517/10000 [4:45:21<23:16:21, 11.20s/it]
                                                         
{'loss': 1.702, 'grad_norm': 3.4165453910827637, 'learning_rate': 4.4641876949029224e-05, 'epoch': 0.02}

 25%|██▌       | 2517/10000 [4:45:21<23:16:21, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0284843444824219, dino_loss: 0.7421875, depth_loss: 0.06350698322057724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8778058290481567, dino_loss: 0.67578125, depth_loss: 0.06357798725366592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2518/10000 [4:45:33<23:21:02, 11.24s/it]
                                                         
{'loss': 1.7258, 'grad_norm': 2.0967862606048584, 'learning_rate': 4.463676136747602e-05, 'epoch': 0.02}

 25%|██▌       | 2518/10000 [4:45:33<23:21:02, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0558655261993408, dino_loss: 0.72265625, depth_loss: 0.06381846964359283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9480787515640259, dino_loss: 0.68359375, depth_loss: 0.06170471012592316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2519/10000 [4:45:44<23:11:37, 11.16s/it]
                                                         
{'loss': 1.7679, 'grad_norm': 4.003046989440918, 'learning_rate': 4.463164363847613e-05, 'epoch': 0.02}

 25%|██▌       | 2519/10000 [4:45:44<23:11:37, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9859304428100586, dino_loss: 0.7421875, depth_loss: 0.07147357612848282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.948589026927948, dino_loss: 0.6875, depth_loss: 0.0668928474187851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2520/10000 [4:45:55<23:27:09, 11.29s/it]
                                                         
{'loss': 1.7513, 'grad_norm': 2.716966152191162, 'learning_rate': 4.46265237625892e-05, 'epoch': 0.02}

 25%|██▌       | 2520/10000 [4:45:55<23:27:09, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9141180515289307, dino_loss: 0.64453125, depth_loss: 0.05940171331167221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0046908855438232, dino_loss: 0.78515625, depth_loss: 0.07367496192455292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2521/10000 [4:46:06<23:14:29, 11.19s/it]
                                                         
{'loss': 1.7409, 'grad_norm': 3.5525312423706055, 'learning_rate': 4.462140174037514e-05, 'epoch': 0.02}

 25%|██▌       | 2521/10000 [4:46:06<23:14:29, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0054917335510254, dino_loss: 0.69140625, depth_loss: 0.058925338089466095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1970340013504028, dino_loss: 0.6953125, depth_loss: 0.05061653256416321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2522/10000 [4:46:17<22:57:19, 11.05s/it]
                                                         
{'loss': 1.8495, 'grad_norm': 3.1177711486816406, 'learning_rate': 4.461627757239407e-05, 'epoch': 0.02}

 25%|██▌       | 2522/10000 [4:46:17<22:57:19, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9643944501876831, dino_loss: 0.73828125, depth_loss: 0.057395413517951965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9402631521224976, dino_loss: 0.6796875, depth_loss: 0.06306780874729156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2523/10000 [4:46:28<22:51:18, 11.00s/it]
                                                         
{'loss': 1.7216, 'grad_norm': 1.046033501625061, 'learning_rate': 4.46111512592064e-05, 'epoch': 0.02}

 25%|██▌       | 2523/10000 [4:46:28<22:51:18, 11.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8698281049728394, dino_loss: 0.73828125, depth_loss: 0.0726061761379242, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9499499201774597, dino_loss: 0.67578125, depth_loss: 0.05578452721238136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2524/10000 [4:46:39<23:10:15, 11.16s/it]
                                                         
{'loss': 1.6812, 'grad_norm': 1.7619438171386719, 'learning_rate': 4.460602280137271e-05, 'epoch': 0.02}

 25%|██▌       | 2524/10000 [4:46:39<23:10:15, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8956929445266724, dino_loss: 0.71875, depth_loss: 0.061653055250644684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0258886814117432, dino_loss: 0.6953125, depth_loss: 0.06822013109922409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2525/10000 [4:46:50<23:03:32, 11.11s/it]
                                                         
{'loss': 1.7328, 'grad_norm': 2.5585548877716064, 'learning_rate': 4.460089219945382e-05, 'epoch': 0.02}

 25%|██▌       | 2525/10000 [4:46:50<23:03:32, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9479719400405884, dino_loss: 0.71484375, depth_loss: 0.07611989974975586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0061697959899902, dino_loss: 0.69140625, depth_loss: 0.057883355766534805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2526/10000 [4:47:01<22:58:03, 11.06s/it]
                                                         
{'loss': 1.7473, 'grad_norm': 1.860069990158081, 'learning_rate': 4.459575945401086e-05, 'epoch': 0.02}

 25%|██▌       | 2526/10000 [4:47:01<22:58:03, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9457504749298096, dino_loss: 0.76171875, depth_loss: 0.06152511388063431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9207960367202759, dino_loss: 0.7265625, depth_loss: 0.06815186887979507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2527/10000 [4:47:13<23:03:34, 11.11s/it]
                                                         
{'loss': 1.7423, 'grad_norm': 2.7434701919555664, 'learning_rate': 4.459062456560509e-05, 'epoch': 0.02}

 25%|██▌       | 2527/10000 [4:47:13<23:03:34, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0411728620529175, dino_loss: 0.74609375, depth_loss: 0.07447915524244308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9862985610961914, dino_loss: 0.6640625, depth_loss: 0.06005869805812836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2528/10000 [4:47:24<22:58:10, 11.07s/it]
                                                         
{'loss': 1.7867, 'grad_norm': 3.1500461101531982, 'learning_rate': 4.4585487534798076e-05, 'epoch': 0.02}

 25%|██▌       | 2528/10000 [4:47:24<22:58:10, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0438669919967651, dino_loss: 0.6875, depth_loss: 0.07256904244422913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.955788254737854, dino_loss: 0.70703125, depth_loss: 0.05759844183921814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2529/10000 [4:47:35<23:11:06, 11.17s/it]
                                                         
{'loss': 1.7696, 'grad_norm': 10.146349906921387, 'learning_rate': 4.4580348362151595e-05, 'epoch': 0.02}

 25%|██▌       | 2529/10000 [4:47:35<23:11:06, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0510551929473877, dino_loss: 0.6953125, depth_loss: 0.07078336924314499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0578155517578125, dino_loss: 0.71875, depth_loss: 0.0916038453578949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2530/10000 [4:47:47<23:29:35, 11.32s/it]
                                                         
{'loss': 1.8429, 'grad_norm': 1.3915654420852661, 'learning_rate': 4.457520704822765e-05, 'epoch': 0.02}

 25%|██▌       | 2530/10000 [4:47:47<23:29:35, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9663793444633484, dino_loss: 0.69921875, depth_loss: 0.06569477915763855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.976235568523407, dino_loss: 0.65234375, depth_loss: 0.0830208957195282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2531/10000 [4:47:58<23:17:31, 11.23s/it]
                                                         
{'loss': 1.7216, 'grad_norm': 1.9898637533187866, 'learning_rate': 4.457006359358849e-05, 'epoch': 0.02}

 25%|██▌       | 2531/10000 [4:47:58<23:17:31, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8206130266189575, dino_loss: 0.6875, depth_loss: 0.07756099849939346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 1.0177905559539795, dino_loss: 0.7109375, depth_loss: 0.07937880605459213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2532/10000 [4:48:09<23:20:39, 11.25s/it]
                                                         
{'loss': 1.697, 'grad_norm': 1.6907819509506226, 'learning_rate': 4.456491799879661e-05, 'epoch': 0.02}

 25%|██▌       | 2532/10000 [4:48:09<23:20:39, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.909886360168457, dino_loss: 0.7578125, depth_loss: 0.0756651982665062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0009043216705322, dino_loss: 0.73828125, depth_loss: 0.05659842491149902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2533/10000 [4:48:20<23:16:07, 11.22s/it]
                                                         
{'loss': 1.7696, 'grad_norm': 3.413398504257202, 'learning_rate': 4.45597702644147e-05, 'epoch': 0.02}

 25%|██▌       | 2533/10000 [4:48:20<23:16:07, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.054227352142334, dino_loss: 0.73046875, depth_loss: 0.05545466020703316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8707209825515747, dino_loss: 0.69140625, depth_loss: 0.05760400369763374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2534/10000 [4:48:31<22:49:09, 11.00s/it]
                                                         
{'loss': 1.73, 'grad_norm': 2.0847651958465576, 'learning_rate': 4.455462039100573e-05, 'epoch': 0.02}

 25%|██▌       | 2534/10000 [4:48:31<22:49:09, 11.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9434478282928467, dino_loss: 0.70703125, depth_loss: 0.05455860495567322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9604712724685669, dino_loss: 0.74609375, depth_loss: 0.0625045895576477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2535/10000 [4:48:42<22:57:01, 11.07s/it]
                                                         
{'loss': 1.7371, 'grad_norm': 7.569029808044434, 'learning_rate': 4.454946837913287e-05, 'epoch': 0.02}

 25%|██▌       | 2535/10000 [4:48:42<22:57:01, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0397721529006958, dino_loss: 0.7578125, depth_loss: 0.07876314222812653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0699985027313232, dino_loss: 0.72265625, depth_loss: 0.059339843690395355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2536/10000 [4:48:53<22:55:08, 11.05s/it]
                                                         
{'loss': 1.8859, 'grad_norm': 27.83839225769043, 'learning_rate': 4.454431422935955e-05, 'epoch': 0.02}

 25%|██▌       | 2536/10000 [4:48:53<22:55:08, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9804503917694092, dino_loss: 0.7265625, depth_loss: 0.06687117367982864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9610059857368469, dino_loss: 0.74609375, depth_loss: 0.08448578417301178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2537/10000 [4:49:04<22:43:28, 10.96s/it]
                                                         
{'loss': 1.7955, 'grad_norm': 16.093088150024414, 'learning_rate': 4.4539157942249396e-05, 'epoch': 0.02}

 25%|██▌       | 2537/10000 [4:49:04<22:43:28, 10.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9725219011306763, dino_loss: 0.73046875, depth_loss: 0.06438475102186203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9371408224105835, dino_loss: 0.6640625, depth_loss: 0.07003805041313171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2538/10000 [4:49:15<22:57:50, 11.08s/it]
                                                         
{'loss': 1.7344, 'grad_norm': 12.691722869873047, 'learning_rate': 4.453399951836632e-05, 'epoch': 0.02}

 25%|██▌       | 2538/10000 [4:49:15<22:57:50, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9365838766098022, dino_loss: 0.78515625, depth_loss: 0.07056143879890442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9195424914360046, dino_loss: 0.73828125, depth_loss: 0.0612257644534111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2539/10000 [4:49:26<23:05:36, 11.14s/it]
                                                         
{'loss': 1.7557, 'grad_norm': 1.42303466796875, 'learning_rate': 4.452883895827442e-05, 'epoch': 0.02}

 25%|██▌       | 2539/10000 [4:49:26<23:05:36, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.024344801902771, dino_loss: 0.7421875, depth_loss: 0.07346736639738083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8992624282836914, dino_loss: 0.6640625, depth_loss: 0.054330382496118546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2540/10000 [4:49:38<23:30:18, 11.34s/it]
                                                         
{'loss': 1.7289, 'grad_norm': 4.607066631317139, 'learning_rate': 4.452367626253805e-05, 'epoch': 0.02}

 25%|██▌       | 2540/10000 [4:49:38<23:30:18, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.958621621131897, dino_loss: 0.7109375, depth_loss: 0.06910495460033417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.017458200454712, dino_loss: 0.703125, depth_loss: 0.05851506441831589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2541/10000 [4:49:49<23:10:45, 11.19s/it]
                                                         
{'loss': 1.7589, 'grad_norm': 4.663803577423096, 'learning_rate': 4.45185114317218e-05, 'epoch': 0.02}

 25%|██▌       | 2541/10000 [4:49:49<23:10:45, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.912166953086853, dino_loss: 0.65625, depth_loss: 0.06994613260030746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1437057256698608, dino_loss: 0.671875, depth_loss: 0.05145545303821564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2542/10000 [4:49:59<22:48:18, 11.01s/it]
                                                         
{'loss': 1.7528, 'grad_norm': 3.654425621032715, 'learning_rate': 4.451334446639048e-05, 'epoch': 0.02}

 25%|██▌       | 2542/10000 [4:49:59<22:48:18, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9490904211997986, dino_loss: 0.6640625, depth_loss: 0.06727807223796844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9486052989959717, dino_loss: 0.70703125, depth_loss: 0.06803889572620392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2543/10000 [4:50:11<22:55:15, 11.07s/it]
                                                         
{'loss': 1.7021, 'grad_norm': 4.471340179443359, 'learning_rate': 4.4508175367109155e-05, 'epoch': 0.02}

 25%|██▌       | 2543/10000 [4:50:11<22:55:15, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1134694814682007, dino_loss: 0.734375, depth_loss: 0.06317245960235596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8813220262527466, dino_loss: 0.7109375, depth_loss: 0.07270993292331696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2544/10000 [4:50:22<22:58:51, 11.10s/it]
                                                         
{'loss': 1.7883, 'grad_norm': 8.770857810974121, 'learning_rate': 4.45030041344431e-05, 'epoch': 0.02}

 25%|██▌       | 2544/10000 [4:50:22<22:58:51, 11.10s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0505650043487549, dino_loss: 0.65625, depth_loss: 0.07102973759174347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9336951971054077, dino_loss: 0.69921875, depth_loss: 0.06340342015028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2545/10000 [4:50:33<23:00:10, 11.11s/it]
                                                         
{'loss': 1.7381, 'grad_norm': 2.716670036315918, 'learning_rate': 4.449783076895783e-05, 'epoch': 0.02}

 25%|██▌       | 2545/10000 [4:50:33<23:00:10, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.885411262512207, dino_loss: 0.75, depth_loss: 0.06260141730308533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9396569132804871, dino_loss: 0.72265625, depth_loss: 0.0661064013838768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2546/10000 [4:50:44<22:51:34, 11.04s/it]
                                                         
{'loss': 1.7133, 'grad_norm': 3.0804073810577393, 'learning_rate': 4.449265527121911e-05, 'epoch': 0.02}

 25%|██▌       | 2546/10000 [4:50:44<22:51:34, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9376300573348999, dino_loss: 0.71875, depth_loss: 0.059587523341178894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0796927213668823, dino_loss: 0.765625, depth_loss: 0.05456492304801941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2547/10000 [4:50:55<22:44:45, 10.99s/it]
                                                         
{'loss': 1.808, 'grad_norm': 3.5980589389801025, 'learning_rate': 4.448747764179291e-05, 'epoch': 0.02}

 25%|██▌       | 2547/10000 [4:50:55<22:44:45, 10.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9856395721435547, dino_loss: 0.63671875, depth_loss: 0.062018003314733505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9332923293113708, dino_loss: 0.61328125, depth_loss: 0.06488101184368134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2548/10000 [4:51:06<23:10:05, 11.19s/it]
                                                         
{'loss': 1.6481, 'grad_norm': 2.1191673278808594, 'learning_rate': 4.448229788124545e-05, 'epoch': 0.02}

 25%|██▌       | 2548/10000 [4:51:06<23:10:05, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9705042839050293, dino_loss: 0.69921875, depth_loss: 0.06459594517946243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9956793189048767, dino_loss: 0.6953125, depth_loss: 0.05948753282427788, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 25%|██▌       | 2549/10000 [4:51:17<23:03:30, 11.14s/it]
                                                         
{'loss': 1.7426, 'grad_norm': 4.995469093322754, 'learning_rate': 4.447711599014319e-05, 'epoch': 0.02}

 25%|██▌       | 2549/10000 [4:51:17<23:03:30, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1327584981918335, dino_loss: 0.7109375, depth_loss: 0.06892070174217224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9079660773277283, dino_loss: 0.71875, depth_loss: 0.06581947952508926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2550/10000 [4:51:30<23:43:14, 11.46s/it]
                                                         
{'loss': 1.8498, 'grad_norm': 57.55516052246094, 'learning_rate': 4.4471931969052816e-05, 'epoch': 0.02}

 26%|██▌       | 2550/10000 [4:51:30<23:43:14, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0173300504684448, dino_loss: 0.72265625, depth_loss: 0.06597035378217697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9621313214302063, dino_loss: 0.71875, depth_loss: 0.06698784232139587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2551/10000 [4:51:41<23:29:37, 11.35s/it]
                                                         
{'loss': 1.7915, 'grad_norm': 18.011457443237305, 'learning_rate': 4.446674581854123e-05, 'epoch': 0.02}

 26%|██▌       | 2551/10000 [4:51:41<23:29:37, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0514004230499268, dino_loss: 0.6875, depth_loss: 0.07050882279872894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0738694667816162, dino_loss: 0.734375, depth_loss: 0.06815257668495178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2552/10000 [4:51:52<23:13:28, 11.23s/it]
                                                         
{'loss': 1.8433, 'grad_norm': 3.3407142162323, 'learning_rate': 4.4461557539175594e-05, 'epoch': 0.02}

 26%|██▌       | 2552/10000 [4:51:52<23:13:28, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.000584363937378, dino_loss: 0.7421875, depth_loss: 0.06827182322740555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.922029972076416, dino_loss: 0.67578125, depth_loss: 0.07019004225730896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2553/10000 [4:52:02<22:53:10, 11.06s/it]
                                                         
{'loss': 1.7396, 'grad_norm': 3.0757453441619873, 'learning_rate': 4.445636713152327e-05, 'epoch': 0.02}

 26%|██▌       | 2553/10000 [4:52:02<22:53:10, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0070528984069824, dino_loss: 0.70703125, depth_loss: 0.07938350737094879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9803600907325745, dino_loss: 0.73046875, depth_loss: 0.05951173976063728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2554/10000 [4:52:14<23:02:14, 11.14s/it]
                                                         
{'loss': 1.7819, 'grad_norm': 1.740971326828003, 'learning_rate': 4.4451174596151906e-05, 'epoch': 0.02}

 26%|██▌       | 2554/10000 [4:52:14<23:02:14, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9286655783653259, dino_loss: 0.65625, depth_loss: 0.06765586137771606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9737815856933594, dino_loss: 0.7578125, depth_loss: 0.07003435492515564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2555/10000 [4:52:25<22:58:19, 11.11s/it]
                                                         
{'loss': 1.7272, 'grad_norm': 2.2860124111175537, 'learning_rate': 4.4445979933629324e-05, 'epoch': 0.02}

 26%|██▌       | 2555/10000 [4:52:25<22:58:19, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9277594685554504, dino_loss: 0.69140625, depth_loss: 0.061564549803733826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0672085285186768, dino_loss: 0.70703125, depth_loss: 0.05433565378189087, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2556/10000 [4:52:36<22:55:49, 11.09s/it]
                                                         
{'loss': 1.7547, 'grad_norm': 2.6933906078338623, 'learning_rate': 4.444078314452362e-05, 'epoch': 0.02}

 26%|██▌       | 2556/10000 [4:52:36<22:55:49, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8375921845436096, dino_loss: 0.69140625, depth_loss: 0.05760273337364197, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0523329973220825, dino_loss: 0.7109375, depth_loss: 0.08528926968574524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2557/10000 [4:52:47<23:02:48, 11.15s/it]
                                                         
{'loss': 1.7177, 'grad_norm': 2.663923978805542, 'learning_rate': 4.443558422940309e-05, 'epoch': 0.02}

 26%|██▌       | 2557/10000 [4:52:47<23:02:48, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9666813611984253, dino_loss: 0.69921875, depth_loss: 0.0681774914264679, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9543287754058838, dino_loss: 0.73046875, depth_loss: 0.062107980251312256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2558/10000 [4:52:58<22:48:24, 11.03s/it]
                                                         
{'loss': 1.7405, 'grad_norm': 3.1298370361328125, 'learning_rate': 4.44303831888363e-05, 'epoch': 0.02}

 26%|██▌       | 2558/10000 [4:52:58<22:48:24, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9731680154800415, dino_loss: 0.6796875, depth_loss: 0.058853551745414734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.866518497467041, dino_loss: 0.671875, depth_loss: 0.056709952652454376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2559/10000 [4:53:09<22:50:21, 11.05s/it]
                                                         
{'loss': 1.6535, 'grad_norm': 7.782910346984863, 'learning_rate': 4.442518002339201e-05, 'epoch': 0.02}

 26%|██▌       | 2559/10000 [4:53:09<22:50:21, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9234554767608643, dino_loss: 0.671875, depth_loss: 0.06761582940816879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9818249940872192, dino_loss: 0.71875, depth_loss: 0.07468465715646744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2560/10000 [4:53:20<22:41:04, 10.98s/it]
                                                         
{'loss': 1.7192, 'grad_norm': 2.03230357170105, 'learning_rate': 4.4419974733639244e-05, 'epoch': 0.02}

 26%|██▌       | 2560/10000 [4:53:20<22:41:04, 10.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8991928696632385, dino_loss: 0.734375, depth_loss: 0.07632266730070114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9194020628929138, dino_loss: 0.74609375, depth_loss: 0.0742420181632042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2561/10000 [4:53:31<22:53:31, 11.08s/it]
                                                         
{'loss': 1.7249, 'grad_norm': 2.9448091983795166, 'learning_rate': 4.441476732014723e-05, 'epoch': 0.02}

 26%|██▌       | 2561/10000 [4:53:31<22:53:31, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9430055618286133, dino_loss: 0.69921875, depth_loss: 0.06659181416034698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.8077006340026855, dino_loss: 0.70703125, depth_loss: 0.06435225903987885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2562/10000 [4:53:42<22:46:22, 11.02s/it]
                                                         
{'loss': 1.6441, 'grad_norm': 1.3239023685455322, 'learning_rate': 4.4409557783485464e-05, 'epoch': 0.02}

 26%|██▌       | 2562/10000 [4:53:42<22:46:22, 11.02s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 1.0112402439117432, dino_loss: 0.65234375, depth_loss: 0.045819103717803955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9743838310241699, dino_loss: 0.76171875, depth_loss: 0.0681690201163292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2563/10000 [4:53:53<22:46:07, 11.02s/it]
                                                         
{'loss': 1.7569, 'grad_norm': 3.957076072692871, 'learning_rate': 4.4404346124223626e-05, 'epoch': 0.02}

 26%|██▌       | 2563/10000 [4:53:53<22:46:07, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8703410625457764, dino_loss: 0.703125, depth_loss: 0.05793000012636185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0790797472000122, dino_loss: 0.73046875, depth_loss: 0.0784197673201561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2564/10000 [4:54:05<23:10:23, 11.22s/it]
                                                         
{'loss': 1.7598, 'grad_norm': 1.8063708543777466, 'learning_rate': 4.4399132342931684e-05, 'epoch': 0.02}

 26%|██▌       | 2564/10000 [4:54:05<23:10:23, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9503209590911865, dino_loss: 0.74609375, depth_loss: 0.06762508302927017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7637991905212402, dino_loss: 0.73046875, depth_loss: 0.05967440828680992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2565/10000 [4:54:16<23:01:40, 11.15s/it]
                                                         
{'loss': 1.659, 'grad_norm': 1.5154401063919067, 'learning_rate': 4.4393916440179786e-05, 'epoch': 0.02}

 26%|██▌       | 2565/10000 [4:54:16<23:01:40, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.990945041179657, dino_loss: 0.73046875, depth_loss: 0.0750269889831543, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8657728433609009, dino_loss: 0.6796875, depth_loss: 0.06551311910152435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2566/10000 [4:54:27<23:06:08, 11.19s/it]
                                                         
{'loss': 1.7038, 'grad_norm': 1.0538969039916992, 'learning_rate': 4.438869841653835e-05, 'epoch': 0.02}

 26%|██▌       | 2566/10000 [4:54:27<23:06:08, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9393136501312256, dino_loss: 0.70703125, depth_loss: 0.05583275854587555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9978379011154175, dino_loss: 0.72265625, depth_loss: 0.07475297152996063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2567/10000 [4:54:38<23:08:45, 11.21s/it]
                                                         
{'loss': 1.7488, 'grad_norm': 2.8788247108459473, 'learning_rate': 4.438347827257801e-05, 'epoch': 0.02}

 26%|██▌       | 2567/10000 [4:54:38<23:08:45, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9247922897338867, dino_loss: 0.65234375, depth_loss: 0.06323668360710144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9513767957687378, dino_loss: 0.671875, depth_loss: 0.08064159005880356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2568/10000 [4:54:50<23:17:13, 11.28s/it]
                                                         
{'loss': 1.6723, 'grad_norm': 2.7268004417419434, 'learning_rate': 4.4378256008869615e-05, 'epoch': 0.02}

 26%|██▌       | 2568/10000 [4:54:50<23:17:13, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8995099663734436, dino_loss: 0.67578125, depth_loss: 0.05823243781924248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9096305966377258, dino_loss: 0.74609375, depth_loss: 0.06235501170158386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2569/10000 [4:55:01<23:26:44, 11.36s/it]
                                                         
{'loss': 1.6759, 'grad_norm': 2.401029348373413, 'learning_rate': 4.4373031625984285e-05, 'epoch': 0.02}

 26%|██▌       | 2569/10000 [4:55:01<23:26:44, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8785502910614014, dino_loss: 0.703125, depth_loss: 0.06662070751190186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0077288150787354, dino_loss: 0.72265625, depth_loss: 0.050282783806324005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2570/10000 [4:55:13<23:27:57, 11.37s/it]
                                                         
{'loss': 1.7147, 'grad_norm': 4.297641754150391, 'learning_rate': 4.436780512449334e-05, 'epoch': 0.02}

 26%|██▌       | 2570/10000 [4:55:13<23:27:57, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8584016561508179, dino_loss: 0.6796875, depth_loss: 0.05383993312716484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9696119427680969, dino_loss: 0.7109375, depth_loss: 0.05816231667995453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2571/10000 [4:55:24<23:28:11, 11.37s/it]
                                                         
{'loss': 1.6654, 'grad_norm': 2.161261558532715, 'learning_rate': 4.436257650496834e-05, 'epoch': 0.02}

 26%|██▌       | 2571/10000 [4:55:24<23:28:11, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.996660053730011, dino_loss: 0.78515625, depth_loss: 0.06245984882116318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9104548692703247, dino_loss: 0.6796875, depth_loss: 0.05728078633546829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2572/10000 [4:55:35<23:03:57, 11.18s/it]
                                                         
{'loss': 1.7459, 'grad_norm': 2.4188125133514404, 'learning_rate': 4.43573457679811e-05, 'epoch': 0.02}

 26%|██▌       | 2572/10000 [4:55:35<23:03:57, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9408329725265503, dino_loss: 0.6953125, depth_loss: 0.07247728109359741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9966670274734497, dino_loss: 0.6875, depth_loss: 0.0584716834127903, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2573/10000 [4:55:45<22:52:48, 11.09s/it]
                                                         
{'loss': 1.7257, 'grad_norm': 2.7243731021881104, 'learning_rate': 4.435211291410363e-05, 'epoch': 0.02}

 26%|██▌       | 2573/10000 [4:55:45<22:52:48, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1042447090148926, dino_loss: 0.71484375, depth_loss: 0.055069152265787125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0425643920898438, dino_loss: 0.6875, depth_loss: 0.050455331802368164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2574/10000 [4:55:57<23:03:41, 11.18s/it]
                                                         
{'loss': 1.8274, 'grad_norm': 4.8212995529174805, 'learning_rate': 4.434687794390817e-05, 'epoch': 0.02}

 26%|██▌       | 2574/10000 [4:55:57<23:03:41, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9906364679336548, dino_loss: 0.671875, depth_loss: 0.06171292066574097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9569730758666992, dino_loss: 0.6953125, depth_loss: 0.057380322366952896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2575/10000 [4:56:08<23:02:05, 11.17s/it]
                                                         
{'loss': 1.717, 'grad_norm': 2.99977707862854, 'learning_rate': 4.434164085796724e-05, 'epoch': 0.02}

 26%|██▌       | 2575/10000 [4:56:08<23:02:05, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1028406620025635, dino_loss: 0.7109375, depth_loss: 0.07197174429893494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8783379793167114, dino_loss: 0.63671875, depth_loss: 0.05489455908536911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2576/10000 [4:56:19<22:56:39, 11.13s/it]
                                                         
{'loss': 1.728, 'grad_norm': 3.357797861099243, 'learning_rate': 4.4336401656853546e-05, 'epoch': 0.02}

 26%|██▌       | 2576/10000 [4:56:19<22:56:39, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.952467679977417, dino_loss: 0.6640625, depth_loss: 0.05625682324171066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8749325275421143, dino_loss: 0.69140625, depth_loss: 0.0603044256567955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2577/10000 [4:56:30<23:01:33, 11.17s/it]
                                                         
{'loss': 1.6498, 'grad_norm': 2.3460450172424316, 'learning_rate': 4.433116034114003e-05, 'epoch': 0.02}

 26%|██▌       | 2577/10000 [4:56:30<23:01:33, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0609869956970215, dino_loss: 0.71484375, depth_loss: 0.0695861354470253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8624456524848938, dino_loss: 0.66015625, depth_loss: 0.0601237490773201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2578/10000 [4:56:41<22:44:32, 11.03s/it]
                                                         
{'loss': 1.7141, 'grad_norm': 2.261333703994751, 'learning_rate': 4.432591691139989e-05, 'epoch': 0.02}

 26%|██▌       | 2578/10000 [4:56:41<22:44:32, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9920815229415894, dino_loss: 0.72265625, depth_loss: 0.07991880923509598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.8736442923545837, dino_loss: 0.6875, depth_loss: 0.057462699711322784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2579/10000 [4:56:52<22:52:44, 11.10s/it]
                                                         
{'loss': 1.7067, 'grad_norm': 3.919997215270996, 'learning_rate': 4.432067136820652e-05, 'epoch': 0.02}

 26%|██▌       | 2579/10000 [4:56:52<22:52:44, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9497925043106079, dino_loss: 0.703125, depth_loss: 0.0786534994840622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.915932297706604, dino_loss: 0.70703125, depth_loss: 0.0638582706451416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2580/10000 [4:57:04<23:19:52, 11.32s/it]
                                                         
{'loss': 1.7093, 'grad_norm': 4.087550163269043, 'learning_rate': 4.4315423712133595e-05, 'epoch': 0.02}

 26%|██▌       | 2580/10000 [4:57:04<23:19:52, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1262662410736084, dino_loss: 0.765625, depth_loss: 0.06045409291982651, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9854247570037842, dino_loss: 0.71484375, depth_loss: 0.07597646862268448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2581/10000 [4:57:15<23:09:07, 11.23s/it]
                                                         
{'loss': 1.8643, 'grad_norm': 4.743485450744629, 'learning_rate': 4.431017394375496e-05, 'epoch': 0.02}

 26%|██▌       | 2581/10000 [4:57:15<23:09:07, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.040438175201416, dino_loss: 0.75, depth_loss: 0.057386741042137146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9964452981948853, dino_loss: 0.71875, depth_loss: 0.05538584664463997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2582/10000 [4:57:26<23:02:34, 11.18s/it]
                                                         
{'loss': 1.8092, 'grad_norm': 1.4507025480270386, 'learning_rate': 4.430492206364474e-05, 'epoch': 0.02}

 26%|██▌       | 2582/10000 [4:57:26<23:02:34, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9927335381507874, dino_loss: 0.703125, depth_loss: 0.07268825173377991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9553117156028748, dino_loss: 0.66796875, depth_loss: 0.05777660757303238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2583/10000 [4:57:37<22:50:04, 11.08s/it]
                                                         
{'loss': 1.7249, 'grad_norm': 1.4695076942443848, 'learning_rate': 4.429966807237726e-05, 'epoch': 0.02}

 26%|██▌       | 2583/10000 [4:57:37<22:50:04, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1041682958602905, dino_loss: 0.7578125, depth_loss: 0.06937317550182343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8418089151382446, dino_loss: 0.67578125, depth_loss: 0.05582844093441963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2584/10000 [4:57:48<23:00:47, 11.17s/it]
                                                         
{'loss': 1.7525, 'grad_norm': 1.9584555625915527, 'learning_rate': 4.4294411970527116e-05, 'epoch': 0.02}

 26%|██▌       | 2584/10000 [4:57:48<23:00:47, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8414302468299866, dino_loss: 0.703125, depth_loss: 0.07441294938325882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9793160557746887, dino_loss: 0.671875, depth_loss: 0.04434158280491829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2585/10000 [4:57:59<22:46:52, 11.06s/it]
                                                         
{'loss': 1.6573, 'grad_norm': 0.9730052351951599, 'learning_rate': 4.4289153758669075e-05, 'epoch': 0.02}

 26%|██▌       | 2585/10000 [4:57:59<22:46:52, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9017879962921143, dino_loss: 0.71875, depth_loss: 0.0673896074295044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9655670523643494, dino_loss: 0.6796875, depth_loss: 0.058455146849155426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2586/10000 [4:58:11<22:57:58, 11.15s/it]
                                                         
{'loss': 1.6959, 'grad_norm': 3.8035545349121094, 'learning_rate': 4.4283893437378173e-05, 'epoch': 0.02}

 26%|██▌       | 2586/10000 [4:58:11<22:57:58, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0025289058685303, dino_loss: 0.6796875, depth_loss: 0.05447231978178024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9001307487487793, dino_loss: 0.65625, depth_loss: 0.059079863131046295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2587/10000 [4:58:21<22:46:23, 11.06s/it]
                                                         
{'loss': 1.6761, 'grad_norm': 1.8013588190078735, 'learning_rate': 4.427863100722969e-05, 'epoch': 0.02}

 26%|██▌       | 2587/10000 [4:58:21<22:46:23, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8209232687950134, dino_loss: 0.7109375, depth_loss: 0.05244049057364464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8739432096481323, dino_loss: 0.69140625, depth_loss: 0.06663192808628082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2588/10000 [4:58:33<22:57:57, 11.15s/it]
                                                         
{'loss': 1.6082, 'grad_norm': 1.3779282569885254, 'learning_rate': 4.42733664687991e-05, 'epoch': 0.02}

 26%|██▌       | 2588/10000 [4:58:33<22:57:57, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0096691846847534, dino_loss: 0.7109375, depth_loss: 0.04794706031680107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9389041662216187, dino_loss: 0.64453125, depth_loss: 0.06594705581665039, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2589/10000 [4:58:44<23:13:56, 11.29s/it]
                                                         
{'loss': 1.709, 'grad_norm': 2.8634867668151855, 'learning_rate': 4.426809982266214e-05, 'epoch': 0.02}

 26%|██▌       | 2589/10000 [4:58:44<23:13:56, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9512845873832703, dino_loss: 0.71875, depth_loss: 0.059337206184864044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.002490520477295, dino_loss: 0.69921875, depth_loss: 0.05188886448740959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2590/10000 [4:58:55<22:52:55, 11.12s/it]
                                                         
{'loss': 1.7416, 'grad_norm': 2.1815404891967773, 'learning_rate': 4.426283106939474e-05, 'epoch': 0.02}

 26%|██▌       | 2590/10000 [4:58:55<22:52:55, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9300695657730103, dino_loss: 0.71484375, depth_loss: 0.06143844500184059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9846925735473633, dino_loss: 0.71875, depth_loss: 0.05583636462688446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2591/10000 [4:59:06<22:47:31, 11.07s/it]
                                                         
{'loss': 1.733, 'grad_norm': 2.592116117477417, 'learning_rate': 4.425756020957309e-05, 'epoch': 0.02}

 26%|██▌       | 2591/10000 [4:59:06<22:47:31, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9640381932258606, dino_loss: 0.6953125, depth_loss: 0.06413933634757996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0595207214355469, dino_loss: 0.68359375, depth_loss: 0.07176468521356583, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2592/10000 [4:59:18<23:12:13, 11.28s/it]
                                                         
{'loss': 1.7692, 'grad_norm': 1.9898604154586792, 'learning_rate': 4.4252287243773617e-05, 'epoch': 0.02}

 26%|██▌       | 2592/10000 [4:59:18<23:12:13, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.104111671447754, dino_loss: 0.6640625, depth_loss: 0.06027133762836456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8870882987976074, dino_loss: 0.78515625, depth_loss: 0.058014851063489914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2593/10000 [4:59:29<23:02:48, 11.20s/it]
                                                         
{'loss': 1.7795, 'grad_norm': 2.1133716106414795, 'learning_rate': 4.424701217257295e-05, 'epoch': 0.02}

 26%|██▌       | 2593/10000 [4:59:29<23:02:48, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.9481617212295532, dino_loss: 0.6796875, depth_loss: 0.06096518784761429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9480949640274048, dino_loss: 0.65625, depth_loss: 0.0482955127954483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2594/10000 [4:59:40<23:01:02, 11.19s/it]
                                                         
{'loss': 1.6708, 'grad_norm': 5.981254577636719, 'learning_rate': 4.424173499654798e-05, 'epoch': 0.02}

 26%|██▌       | 2594/10000 [4:59:40<23:01:02, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9270472526550293, dino_loss: 0.66796875, depth_loss: 0.04978892207145691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.887647271156311, dino_loss: 0.70703125, depth_loss: 0.06242167204618454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2595/10000 [4:59:51<22:52:30, 11.12s/it]
                                                         
{'loss': 1.651, 'grad_norm': 4.268572807312012, 'learning_rate': 4.42364557162758e-05, 'epoch': 0.02}

 26%|██▌       | 2595/10000 [4:59:51<22:52:30, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9656115174293518, dino_loss: 0.65234375, depth_loss: 0.06740591675043106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9326416850090027, dino_loss: 0.73046875, depth_loss: 0.06809286028146744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2596/10000 [5:00:02<22:56:08, 11.15s/it]
                                                         
{'loss': 1.7085, 'grad_norm': 4.23325777053833, 'learning_rate': 4.4231174332333736e-05, 'epoch': 0.02}

 26%|██▌       | 2596/10000 [5:00:02<22:56:08, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.919725775718689, dino_loss: 0.73046875, depth_loss: 0.0696759819984436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0147168636322021, dino_loss: 0.76171875, depth_loss: 0.08848315477371216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2597/10000 [5:00:13<22:53:34, 11.13s/it]
                                                         
{'loss': 1.7924, 'grad_norm': 2.7404489517211914, 'learning_rate': 4.422589084529937e-05, 'epoch': 0.02}

 26%|██▌       | 2597/10000 [5:00:13<22:53:34, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8171002268791199, dino_loss: 0.70703125, depth_loss: 0.05581109598278999, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0110517740249634, dino_loss: 0.70703125, depth_loss: 0.05337565019726753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2598/10000 [5:00:25<23:01:33, 11.20s/it]
                                                         
{'loss': 1.676, 'grad_norm': 3.655122995376587, 'learning_rate': 4.422060525575048e-05, 'epoch': 0.02}

 26%|██▌       | 2598/10000 [5:00:25<23:01:33, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9695466756820679, dino_loss: 0.72265625, depth_loss: 0.06741926819086075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8287707567214966, dino_loss: 0.75, depth_loss: 0.05768147110939026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2599/10000 [5:00:36<23:07:03, 11.24s/it]
                                                         
{'loss': 1.6981, 'grad_norm': 2.0850017070770264, 'learning_rate': 4.4215317564265096e-05, 'epoch': 0.02}

 26%|██▌       | 2599/10000 [5:00:36<23:07:03, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0500353574752808, dino_loss: 0.70703125, depth_loss: 0.09639938175678253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8733696937561035, dino_loss: 0.66796875, depth_loss: 0.055461809039115906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2600/10000 [5:00:47<22:55:50, 11.16s/it]
                                                         
{'loss': 1.7252, 'grad_norm': 2.9497222900390625, 'learning_rate': 4.421002777142148e-05, 'epoch': 0.02}

 26%|██▌       | 2600/10000 [5:00:47<22:55:50, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9938797354698181, dino_loss: 0.7109375, depth_loss: 0.07389204949140549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9192594289779663, dino_loss: 0.75, depth_loss: 0.059613388031721115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2601/10000 [5:00:58<22:47:54, 11.09s/it]
                                                         
{'loss': 1.7539, 'grad_norm': 2.887794256210327, 'learning_rate': 4.42047358777981e-05, 'epoch': 0.02}

 26%|██▌       | 2601/10000 [5:00:58<22:47:54, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.866442859172821, dino_loss: 0.66796875, depth_loss: 0.04877747967839241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8914146423339844, dino_loss: 0.68359375, depth_loss: 0.06238047778606415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2602/10000 [5:01:09<22:55:49, 11.16s/it]
                                                         
{'loss': 1.6104, 'grad_norm': 3.9264276027679443, 'learning_rate': 4.419944188397369e-05, 'epoch': 0.02}

 26%|██▌       | 2602/10000 [5:01:09<22:55:49, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9162685871124268, dino_loss: 0.62109375, depth_loss: 0.04570956155657768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9529045224189758, dino_loss: 0.7109375, depth_loss: 0.05527709051966667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2603/10000 [5:01:21<23:04:41, 11.23s/it]
                                                         
{'loss': 1.6528, 'grad_norm': 8.442761421203613, 'learning_rate': 4.419414579052717e-05, 'epoch': 0.02}

 26%|██▌       | 2603/10000 [5:01:21<23:04:41, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9626054763793945, dino_loss: 0.7265625, depth_loss: 0.07202987372875214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.958970844745636, dino_loss: 0.67578125, depth_loss: 0.05457954853773117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2604/10000 [5:01:32<23:06:59, 11.25s/it]
                                                         
{'loss': 1.7297, 'grad_norm': 9.16222858428955, 'learning_rate': 4.418884759803773e-05, 'epoch': 0.02}

 26%|██▌       | 2604/10000 [5:01:32<23:06:59, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8833228945732117, dino_loss: 0.6796875, depth_loss: 0.047712575644254684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9121951460838318, dino_loss: 0.703125, depth_loss: 0.06990310549736023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2605/10000 [5:01:43<22:54:46, 11.15s/it]
                                                         
{'loss': 1.6485, 'grad_norm': 8.642212867736816, 'learning_rate': 4.418354730708476e-05, 'epoch': 0.02}

 26%|██▌       | 2605/10000 [5:01:43<22:54:46, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.860424280166626, dino_loss: 0.69921875, depth_loss: 0.08263920247554779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031339168548584, dino_loss: 0.7109375, depth_loss: 0.07208536565303802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2606/10000 [5:01:54<22:43:25, 11.06s/it]
                                                         
{'loss': 1.729, 'grad_norm': 2.8616952896118164, 'learning_rate': 4.41782449182479e-05, 'epoch': 0.02}

 26%|██▌       | 2606/10000 [5:01:54<22:43:25, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9701658487319946, dino_loss: 0.6796875, depth_loss: 0.06584834307432175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8695443272590637, dino_loss: 0.64453125, depth_loss: 0.061534635722637177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2607/10000 [5:02:05<22:41:47, 11.05s/it]
                                                         
{'loss': 1.6459, 'grad_norm': 3.018643379211426, 'learning_rate': 4.4172940432107015e-05, 'epoch': 0.02}

 26%|██▌       | 2607/10000 [5:02:05<22:41:47, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9383453726768494, dino_loss: 0.68359375, depth_loss: 0.05556786060333252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9302501678466797, dino_loss: 0.6328125, depth_loss: 0.04496535658836365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2608/10000 [5:02:16<22:54:26, 11.16s/it]
                                                         
{'loss': 1.6429, 'grad_norm': 1.9177954196929932, 'learning_rate': 4.4167633849242196e-05, 'epoch': 0.02}

 26%|██▌       | 2608/10000 [5:02:16<22:54:26, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8496142625808716, dino_loss: 0.65234375, depth_loss: 0.04581958428025246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 1.1659858226776123, dino_loss: 0.70703125, depth_loss: 0.0708339661359787, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2609/10000 [5:02:28<23:18:46, 11.36s/it]
                                                         
{'loss': 1.746, 'grad_norm': 11.711039543151855, 'learning_rate': 4.4162325170233745e-05, 'epoch': 0.02}

 26%|██▌       | 2609/10000 [5:02:28<23:18:46, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9798424243927002, dino_loss: 0.73046875, depth_loss: 0.05337966978549957, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7642214298248291, dino_loss: 0.71875, depth_loss: 0.06982351839542389, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2610/10000 [5:02:39<23:08:00, 11.27s/it]
                                                         
{'loss': 1.6583, 'grad_norm': 5.09904670715332, 'learning_rate': 4.415701439566223e-05, 'epoch': 0.02}

 26%|██▌       | 2610/10000 [5:02:39<23:08:00, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9178345799446106, dino_loss: 0.7109375, depth_loss: 0.07174163311719894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9281651973724365, dino_loss: 0.671875, depth_loss: 0.05751314014196396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2611/10000 [5:02:50<22:57:30, 11.19s/it]
                                                         
{'loss': 1.6792, 'grad_norm': 2.6431360244750977, 'learning_rate': 4.415170152610842e-05, 'epoch': 0.02}

 26%|██▌       | 2611/10000 [5:02:50<22:57:30, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0648126602172852, dino_loss: 0.734375, depth_loss: 0.06405916810035706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9557563662528992, dino_loss: 0.75, depth_loss: 0.06690148264169693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2612/10000 [5:03:01<22:50:42, 11.13s/it]
                                                         
{'loss': 1.818, 'grad_norm': 7.673257827758789, 'learning_rate': 4.414638656215333e-05, 'epoch': 0.02}

 26%|██▌       | 2612/10000 [5:03:01<22:50:42, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0112859010696411, dino_loss: 0.70703125, depth_loss: 0.0912754237651825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0073930025100708, dino_loss: 0.671875, depth_loss: 0.06773863732814789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2613/10000 [5:03:13<23:05:17, 11.25s/it]
                                                         
{'loss': 1.7783, 'grad_norm': 5.714672565460205, 'learning_rate': 4.414106950437819e-05, 'epoch': 0.02}

 26%|██▌       | 2613/10000 [5:03:13<23:05:17, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0326582193374634, dino_loss: 0.75, depth_loss: 0.06285778433084488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0098799467086792, dino_loss: 0.7578125, depth_loss: 0.05688905715942383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2614/10000 [5:03:23<22:48:33, 11.12s/it]
                                                         
{'loss': 1.8362, 'grad_norm': 2.6301169395446777, 'learning_rate': 4.413575035336447e-05, 'epoch': 0.02}

 26%|██▌       | 2614/10000 [5:03:23<22:48:33, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8817221522331238, dino_loss: 0.66015625, depth_loss: 0.07401566207408905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8270794153213501, dino_loss: 0.70703125, depth_loss: 0.08347814530134201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2615/10000 [5:03:36<23:48:07, 11.60s/it]
                                                         
{'loss': 1.6229, 'grad_norm': 5.371310234069824, 'learning_rate': 4.413042910969385e-05, 'epoch': 0.02}

 26%|██▌       | 2615/10000 [5:03:36<23:48:07, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0372545719146729, dino_loss: 0.67578125, depth_loss: 0.059379979968070984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0169475078582764, dino_loss: 0.7734375, depth_loss: 0.0812998041510582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2616/10000 [5:03:47<23:25:06, 11.42s/it]
                                                         
{'loss': 1.8221, 'grad_norm': 2.4130959510803223, 'learning_rate': 4.412510577394828e-05, 'epoch': 0.02}

 26%|██▌       | 2616/10000 [5:03:47<23:25:06, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9708120822906494, dino_loss: 0.77734375, depth_loss: 0.07254917174577713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0694868564605713, dino_loss: 0.65625, depth_loss: 0.05938173457980156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2617/10000 [5:03:58<23:13:46, 11.33s/it]
                                                         
{'loss': 1.8032, 'grad_norm': 2.375349998474121, 'learning_rate': 4.411978034670988e-05, 'epoch': 0.02}

 26%|██▌       | 2617/10000 [5:03:58<23:13:46, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7708081007003784, dino_loss: 0.65234375, depth_loss: 0.05390786752104759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.8600630760192871, dino_loss: 0.68359375, depth_loss: 0.06262791901826859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2618/10000 [5:04:09<23:06:42, 11.27s/it]
                                                         
{'loss': 1.5419, 'grad_norm': 5.099897384643555, 'learning_rate': 4.411445282856106e-05, 'epoch': 0.02}

 26%|██▌       | 2618/10000 [5:04:09<23:06:42, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9303173422813416, dino_loss: 0.75, depth_loss: 0.08465316146612167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9081107974052429, dino_loss: 0.7578125, depth_loss: 0.06509687751531601, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2619/10000 [5:04:22<23:42:57, 11.57s/it]
                                                         
{'loss': 1.748, 'grad_norm': 1.923096776008606, 'learning_rate': 4.410912322008441e-05, 'epoch': 0.02}

 26%|██▌       | 2619/10000 [5:04:22<23:42:57, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0212042331695557, dino_loss: 0.6875, depth_loss: 0.06041109189391136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.001876950263977, dino_loss: 0.73828125, depth_loss: 0.06996527314186096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2620/10000 [5:04:33<23:24:17, 11.42s/it]
                                                         
{'loss': 1.7896, 'grad_norm': 3.7113335132598877, 'learning_rate': 4.4103791521862784e-05, 'epoch': 0.02}

 26%|██▌       | 2620/10000 [5:04:33<23:24:17, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9815570116043091, dino_loss: 0.68359375, depth_loss: 0.05958601087331772, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9678846001625061, dino_loss: 0.74609375, depth_loss: 0.07905734330415726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2621/10000 [5:04:44<23:07:59, 11.29s/it]
                                                         
{'loss': 1.759, 'grad_norm': 2.1036376953125, 'learning_rate': 4.409845773447923e-05, 'epoch': 0.02}

 26%|██▌       | 2621/10000 [5:04:44<23:07:59, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9220130443572998, dino_loss: 0.6875, depth_loss: 0.06066177785396576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0011955499649048, dino_loss: 0.71484375, depth_loss: 0.08068254590034485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2622/10000 [5:04:55<23:12:06, 11.32s/it]
                                                         
{'loss': 1.7335, 'grad_norm': 2.6264255046844482, 'learning_rate': 4.409312185851706e-05, 'epoch': 0.02}

 26%|██▌       | 2622/10000 [5:04:55<23:12:06, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0214201211929321, dino_loss: 0.73828125, depth_loss: 0.07057513296604156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0331395864486694, dino_loss: 0.65625, depth_loss: 0.06707670539617538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2623/10000 [5:05:06<22:54:55, 11.18s/it]
                                                         
{'loss': 1.7934, 'grad_norm': 2.327192783355713, 'learning_rate': 4.408778389455978e-05, 'epoch': 0.02}

 26%|██▌       | 2623/10000 [5:05:06<22:54:55, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8587963581085205, dino_loss: 0.6328125, depth_loss: 0.08577589690685272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8859645128250122, dino_loss: 0.72265625, depth_loss: 0.06265485286712646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▌       | 2624/10000 [5:05:17<23:08:10, 11.29s/it]
                                                         
{'loss': 1.6244, 'grad_norm': 2.213585376739502, 'learning_rate': 4.408244384319116e-05, 'epoch': 0.02}

 26%|██▌       | 2624/10000 [5:05:17<23:08:10, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9333341717720032, dino_loss: 0.6640625, depth_loss: 0.06374584138393402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9947156310081482, dino_loss: 0.6953125, depth_loss: 0.05219992995262146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2625/10000 [5:05:29<23:01:34, 11.24s/it]
                                                         
{'loss': 1.7017, 'grad_norm': 1.868430256843567, 'learning_rate': 4.4077101704995166e-05, 'epoch': 0.02}

 26%|██▋       | 2625/10000 [5:05:29<23:01:34, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.922264814376831, dino_loss: 0.671875, depth_loss: 0.04458748921751976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8719291687011719, dino_loss: 0.73046875, depth_loss: 0.061335839331150055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2626/10000 [5:05:40<23:05:57, 11.28s/it]
                                                         
{'loss': 1.6513, 'grad_norm': 2.189706563949585, 'learning_rate': 4.407175748055601e-05, 'epoch': 0.02}

 26%|██▋       | 2626/10000 [5:05:40<23:05:57, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9985905289649963, dino_loss: 0.6796875, depth_loss: 0.06637640297412872, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1046186685562134, dino_loss: 0.6875, depth_loss: 0.06481650471687317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2627/10000 [5:05:51<22:52:09, 11.17s/it]
                                                         
{'loss': 1.8008, 'grad_norm': 2.4431962966918945, 'learning_rate': 4.4066411170458136e-05, 'epoch': 0.02}

 26%|██▋       | 2627/10000 [5:05:51<22:52:09, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9919402003288269, dino_loss: 0.70703125, depth_loss: 0.06929915398359299, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0667742490768433, dino_loss: 0.703125, depth_loss: 0.06500861048698425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2628/10000 [5:06:03<23:17:46, 11.38s/it]
                                                         
{'loss': 1.8016, 'grad_norm': 2.3953068256378174, 'learning_rate': 4.40610627752862e-05, 'epoch': 0.02}

 26%|██▋       | 2628/10000 [5:06:03<23:17:46, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.058841347694397, dino_loss: 0.6953125, depth_loss: 0.055721767246723175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9602885842323303, dino_loss: 0.74609375, depth_loss: 0.0629192516207695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2629/10000 [5:06:13<22:52:25, 11.17s/it]
                                                         
{'loss': 1.7896, 'grad_norm': 1.147969126701355, 'learning_rate': 4.4055712295625095e-05, 'epoch': 0.02}

 26%|██▋       | 2629/10000 [5:06:13<22:52:25, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9757602214813232, dino_loss: 0.78125, depth_loss: 0.06923805177211761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9305659532546997, dino_loss: 0.69921875, depth_loss: 0.06838127970695496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2630/10000 [5:06:25<23:02:01, 11.25s/it]
                                                         
{'loss': 1.7622, 'grad_norm': 5.755258083343506, 'learning_rate': 4.405035973205994e-05, 'epoch': 0.02}

 26%|██▋       | 2630/10000 [5:06:25<23:02:01, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9372549057006836, dino_loss: 0.66015625, depth_loss: 0.05069252848625183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9118279814720154, dino_loss: 0.66796875, depth_loss: 0.064052052795887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2631/10000 [5:06:36<23:14:12, 11.35s/it]
                                                         
{'loss': 1.646, 'grad_norm': 2.2921955585479736, 'learning_rate': 4.404500508517609e-05, 'epoch': 0.02}

 26%|██▋       | 2631/10000 [5:06:36<23:14:12, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2816851139068604, dino_loss: 0.6953125, depth_loss: 0.05579620599746704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8798558712005615, dino_loss: 0.6484375, depth_loss: 0.047815434634685516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2632/10000 [5:06:48<23:04:11, 11.27s/it]
                                                         
{'loss': 1.8045, 'grad_norm': 2.543976306915283, 'learning_rate': 4.4039648355559124e-05, 'epoch': 0.02}

 26%|██▋       | 2632/10000 [5:06:48<23:04:11, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0707476139068604, dino_loss: 0.70703125, depth_loss: 0.06532758474349976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0342490673065186, dino_loss: 0.76171875, depth_loss: 0.07105588912963867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2633/10000 [5:06:59<23:07:37, 11.30s/it]
                                                         
{'loss': 1.8551, 'grad_norm': 4.653142929077148, 'learning_rate': 4.4034289543794836e-05, 'epoch': 0.02}

 26%|██▋       | 2633/10000 [5:06:59<23:07:37, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0417425632476807, dino_loss: 0.71875, depth_loss: 0.07726192474365234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8989110589027405, dino_loss: 0.69140625, depth_loss: 0.057456549257040024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2634/10000 [5:07:10<23:00:30, 11.25s/it]
                                                         
{'loss': 1.7428, 'grad_norm': 1.4051008224487305, 'learning_rate': 4.402892865046926e-05, 'epoch': 0.02}

 26%|██▋       | 2634/10000 [5:07:10<23:00:30, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9967383146286011, dino_loss: 0.65625, depth_loss: 0.0703309029340744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9496402740478516, dino_loss: 0.6875, depth_loss: 0.05607885122299194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2635/10000 [5:07:22<23:10:14, 11.33s/it]
                                                         
{'loss': 1.7083, 'grad_norm': 4.3316779136657715, 'learning_rate': 4.4023565676168655e-05, 'epoch': 0.02}

 26%|██▋       | 2635/10000 [5:07:22<23:10:14, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9250960946083069, dino_loss: 0.671875, depth_loss: 0.06007726490497589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0316810607910156, dino_loss: 0.69921875, depth_loss: 0.07245604693889618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2636/10000 [5:07:33<23:01:55, 11.26s/it]
                                                         
{'loss': 1.7302, 'grad_norm': 3.0948004722595215, 'learning_rate': 4.401820062147951e-05, 'epoch': 0.02}

 26%|██▋       | 2636/10000 [5:07:33<23:01:55, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9265410304069519, dino_loss: 0.73828125, depth_loss: 0.07565876841545105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7660892605781555, dino_loss: 0.70703125, depth_loss: 0.0485086515545845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2637/10000 [5:07:44<23:00:42, 11.25s/it]
                                                         
{'loss': 1.6311, 'grad_norm': 1.4380182027816772, 'learning_rate': 4.401283348698854e-05, 'epoch': 0.02}

 26%|██▋       | 2637/10000 [5:07:44<23:00:42, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9364621043205261, dino_loss: 0.70703125, depth_loss: 0.053835973143577576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.040743350982666, dino_loss: 0.640625, depth_loss: 0.05203916132450104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2638/10000 [5:07:55<22:48:58, 11.16s/it]
                                                         
{'loss': 1.7154, 'grad_norm': 1.496585726737976, 'learning_rate': 4.400746427328268e-05, 'epoch': 0.02}

 26%|██▋       | 2638/10000 [5:07:55<22:48:58, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9084599018096924, dino_loss: 0.6640625, depth_loss: 0.04555400460958481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7412493824958801, dino_loss: 0.703125, depth_loss: 0.06670083105564117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2639/10000 [5:08:06<22:48:42, 11.16s/it]
                                                         
{'loss': 1.5646, 'grad_norm': 3.5473124980926514, 'learning_rate': 4.400209298094911e-05, 'epoch': 0.02}

 26%|██▋       | 2639/10000 [5:08:06<22:48:42, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9863272905349731, dino_loss: 0.7421875, depth_loss: 0.07883438467979431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0084913969039917, dino_loss: 0.69921875, depth_loss: 0.07684119790792465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2640/10000 [5:08:17<22:36:27, 11.06s/it]
                                                         
{'loss': 1.796, 'grad_norm': 2.5057926177978516, 'learning_rate': 4.399671961057522e-05, 'epoch': 0.02}

 26%|██▋       | 2640/10000 [5:08:17<22:36:27, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0160186290740967, dino_loss: 0.68359375, depth_loss: 0.07763609290122986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 1.0149288177490234, dino_loss: 0.70703125, depth_loss: 0.059683769941329956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2641/10000 [5:08:27<22:18:39, 10.91s/it]
                                                         
{'loss': 1.7795, 'grad_norm': 1.4700664281845093, 'learning_rate': 4.3991344162748626e-05, 'epoch': 0.02}

 26%|██▋       | 2641/10000 [5:08:27<22:18:39, 10.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9874389171600342, dino_loss: 0.7109375, depth_loss: 0.068051777780056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9667279720306396, dino_loss: 0.703125, depth_loss: 0.06564711034297943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2642/10000 [5:08:39<22:51:54, 11.19s/it]
                                                         
{'loss': 1.751, 'grad_norm': 3.592540740966797, 'learning_rate': 4.3985966638057196e-05, 'epoch': 0.02}

 26%|██▋       | 2642/10000 [5:08:39<22:51:54, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 1
seg_loss: 0.9421941637992859, dino_loss: 0.734375, depth_loss: 0.0630226582288742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8868664503097534, dino_loss: 0.671875, depth_loss: 0.04640880599617958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2643/10000 [5:08:50<22:40:18, 11.09s/it]
                                                         
{'loss': 1.6724, 'grad_norm': 3.8156721591949463, 'learning_rate': 4.3980587037089e-05, 'epoch': 0.02}

 26%|██▋       | 2643/10000 [5:08:50<22:40:18, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9629522562026978, dino_loss: 0.67578125, depth_loss: 0.08580250293016434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 0.775390625, dino_loss: 0.66015625, depth_loss: 0.06073104217648506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2644/10000 [5:09:01<22:30:17, 11.01s/it]
                                                         
{'loss': 1.6104, 'grad_norm': 3.2661452293395996, 'learning_rate': 4.397520536043234e-05, 'epoch': 0.02}

 26%|██▋       | 2644/10000 [5:09:01<22:30:17, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9715040922164917, dino_loss: 0.703125, depth_loss: 0.062357425689697266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0236186981201172, dino_loss: 0.6640625, depth_loss: 0.05552695691585541, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2645/10000 [5:09:12<22:41:45, 11.11s/it]
                                                         
{'loss': 1.7401, 'grad_norm': 2.4408576488494873, 'learning_rate': 4.396982160867575e-05, 'epoch': 0.02}

 26%|██▋       | 2645/10000 [5:09:12<22:41:45, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0085945129394531, dino_loss: 0.71875, depth_loss: 0.04770521819591522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0845375061035156, dino_loss: 0.67578125, depth_loss: 0.06918725371360779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2646/10000 [5:09:24<22:49:22, 11.17s/it]
                                                         
{'loss': 1.8023, 'grad_norm': 2.4495956897735596, 'learning_rate': 4.396443578240799e-05, 'epoch': 0.02}

 26%|██▋       | 2646/10000 [5:09:24<22:49:22, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9716724753379822, dino_loss: 0.71875, depth_loss: 0.06125088781118393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8458877801895142, dino_loss: 0.66015625, depth_loss: 0.05280473828315735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2647/10000 [5:09:35<22:59:40, 11.26s/it]
                                                         
{'loss': 1.6553, 'grad_norm': 2.291236162185669, 'learning_rate': 4.395904788221805e-05, 'epoch': 0.02}

 26%|██▋       | 2647/10000 [5:09:35<22:59:40, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8135730624198914, dino_loss: 0.66796875, depth_loss: 0.06159742921590805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8577620983123779, dino_loss: 0.65625, depth_loss: 0.06210547685623169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2648/10000 [5:09:46<23:02:46, 11.28s/it]
                                                         
{'loss': 1.5597, 'grad_norm': 3.266317844390869, 'learning_rate': 4.395365790869513e-05, 'epoch': 0.02}

 26%|██▋       | 2648/10000 [5:09:46<23:02:46, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1090235710144043, dino_loss: 0.71484375, depth_loss: 0.0714380294084549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8239874839782715, dino_loss: 0.70703125, depth_loss: 0.04605895280838013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2649/10000 [5:09:57<22:50:01, 11.18s/it]
                                                         
{'loss': 1.7363, 'grad_norm': 2.9196999073028564, 'learning_rate': 4.3948265862428684e-05, 'epoch': 0.02}

 26%|██▋       | 2649/10000 [5:09:57<22:50:01, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9861820936203003, dino_loss: 0.70703125, depth_loss: 0.06878923624753952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.939644455909729, dino_loss: 0.72265625, depth_loss: 0.06501882523298264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 26%|██▋       | 2650/10000 [5:10:09<22:57:38, 11.25s/it]
                                                         
{'loss': 1.7447, 'grad_norm': 1.706782579421997, 'learning_rate': 4.3942871744008374e-05, 'epoch': 0.02}

 26%|██▋       | 2650/10000 [5:10:09<22:57:38, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9286872148513794, dino_loss: 0.69140625, depth_loss: 0.06511902064085007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1256110668182373, dino_loss: 0.7265625, depth_loss: 0.054263584315776825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2651/10000 [5:10:20<22:50:25, 11.19s/it]
                                                         
{'loss': 1.7959, 'grad_norm': 10.057560920715332, 'learning_rate': 4.393747555402408e-05, 'epoch': 0.02}

 27%|██▋       | 2651/10000 [5:10:20<22:50:25, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.839553952217102, dino_loss: 0.76171875, depth_loss: 0.07038672268390656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0006835460662842, dino_loss: 0.7265625, depth_loss: 0.04947364702820778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2652/10000 [5:10:31<23:06:47, 11.32s/it]
                                                         
{'loss': 1.7242, 'grad_norm': 2.818437337875366, 'learning_rate': 4.393207729306594e-05, 'epoch': 0.02}

 27%|██▋       | 2652/10000 [5:10:31<23:06:47, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0346722602844238, dino_loss: 0.73046875, depth_loss: 0.07356986403465271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9212864637374878, dino_loss: 0.67578125, depth_loss: 0.07116584479808807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2653/10000 [5:10:43<23:04:39, 11.31s/it]
                                                         
{'loss': 1.7535, 'grad_norm': 2.3812601566314697, 'learning_rate': 4.3926676961724287e-05, 'epoch': 0.02}

 27%|██▋       | 2653/10000 [5:10:43<23:04:39, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.966254472732544, dino_loss: 0.71875, depth_loss: 0.0718168318271637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.939841091632843, dino_loss: 0.6640625, depth_loss: 0.054072558879852295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2654/10000 [5:10:53<22:46:09, 11.16s/it]
                                                         
{'loss': 1.7075, 'grad_norm': 2.3439254760742188, 'learning_rate': 4.39212745605897e-05, 'epoch': 0.02}

 27%|██▋       | 2654/10000 [5:10:53<22:46:09, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9592999219894409, dino_loss: 0.671875, depth_loss: 0.06521371006965637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9337334036827087, dino_loss: 0.68359375, depth_loss: 0.05953701585531235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2655/10000 [5:11:04<22:24:29, 10.98s/it]
                                                         
{'loss': 1.6867, 'grad_norm': 1.6618317365646362, 'learning_rate': 4.391587009025297e-05, 'epoch': 0.02}

 27%|██▋       | 2655/10000 [5:11:04<22:24:29, 10.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9378658533096313, dino_loss: 0.6953125, depth_loss: 0.06573064625263214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.067703127861023, dino_loss: 0.71875, depth_loss: 0.06317833065986633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2656/10000 [5:11:15<22:33:17, 11.06s/it]
                                                         
{'loss': 1.7743, 'grad_norm': 2.8314197063446045, 'learning_rate': 4.3910463551305134e-05, 'epoch': 0.02}

 27%|██▋       | 2656/10000 [5:11:15<22:33:17, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8068482279777527, dino_loss: 0.74609375, depth_loss: 0.09203971922397614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9489275217056274, dino_loss: 0.734375, depth_loss: 0.0657222718000412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2657/10000 [5:11:26<22:37:49, 11.09s/it]
                                                         
{'loss': 1.697, 'grad_norm': 2.3661000728607178, 'learning_rate': 4.390505494433743e-05, 'epoch': 0.02}

 27%|██▋       | 2657/10000 [5:11:26<22:37:49, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9701166152954102, dino_loss: 0.75390625, depth_loss: 0.06966391950845718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9216806888580322, dino_loss: 0.70703125, depth_loss: 0.061063170433044434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2658/10000 [5:11:38<22:43:30, 11.14s/it]
                                                         
{'loss': 1.7418, 'grad_norm': 1.5190093517303467, 'learning_rate': 4.389964426994134e-05, 'epoch': 0.02}

 27%|██▋       | 2658/10000 [5:11:38<22:43:30, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8228151798248291, dino_loss: 0.703125, depth_loss: 0.05200069397687912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8815224170684814, dino_loss: 0.6796875, depth_loss: 0.06113450974225998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2659/10000 [5:11:49<22:42:48, 11.14s/it]
                                                         
{'loss': 1.6002, 'grad_norm': 2.8950164318084717, 'learning_rate': 4.3894231528708576e-05, 'epoch': 0.02}

 27%|██▋       | 2659/10000 [5:11:49<22:42:48, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8291698098182678, dino_loss: 0.72265625, depth_loss: 0.07284395396709442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0186845064163208, dino_loss: 0.765625, depth_loss: 0.06964973360300064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2660/10000 [5:12:00<22:48:36, 11.19s/it]
                                                         
{'loss': 1.7394, 'grad_norm': 1.363950252532959, 'learning_rate': 4.388881672123105e-05, 'epoch': 0.02}

 27%|██▋       | 2660/10000 [5:12:00<22:48:36, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9907872676849365, dino_loss: 0.72265625, depth_loss: 0.06892913579940796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9358755350112915, dino_loss: 0.671875, depth_loss: 0.058788932859897614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2661/10000 [5:12:12<22:57:05, 11.26s/it]
                                                         
{'loss': 1.7245, 'grad_norm': 1.96209716796875, 'learning_rate': 4.3883399848100925e-05, 'epoch': 0.02}

 27%|██▋       | 2661/10000 [5:12:12<22:57:05, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9408981204032898, dino_loss: 0.74609375, depth_loss: 0.06379011273384094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8968551158905029, dino_loss: 0.63671875, depth_loss: 0.05430486425757408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2662/10000 [5:12:23<22:50:34, 11.21s/it]
                                                         
{'loss': 1.6694, 'grad_norm': 1.6328312158584595, 'learning_rate': 4.387798090991059e-05, 'epoch': 0.02}

 27%|██▋       | 2662/10000 [5:12:23<22:50:34, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8322772979736328, dino_loss: 0.671875, depth_loss: 0.05129013955593109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.035606861114502, dino_loss: 0.6640625, depth_loss: 0.07135059684515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2663/10000 [5:12:34<22:43:48, 11.15s/it]
                                                         
{'loss': 1.6633, 'grad_norm': 4.515115261077881, 'learning_rate': 4.3872559907252645e-05, 'epoch': 0.02}

 27%|██▋       | 2663/10000 [5:12:34<22:43:48, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9650704264640808, dino_loss: 0.69140625, depth_loss: 0.06457869708538055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.925329864025116, dino_loss: 0.6796875, depth_loss: 0.057776033878326416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2664/10000 [5:12:45<22:54:57, 11.25s/it]
                                                         
{'loss': 1.692, 'grad_norm': 3.473578691482544, 'learning_rate': 4.386713684071991e-05, 'epoch': 0.02}

 27%|██▋       | 2664/10000 [5:12:45<22:54:57, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9479293823242188, dino_loss: 0.71484375, depth_loss: 0.07618202269077301, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0656604766845703, dino_loss: 0.69140625, depth_loss: 0.06313711404800415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2665/10000 [5:12:56<22:50:58, 11.21s/it]
                                                         
{'loss': 1.7796, 'grad_norm': 2.4362151622772217, 'learning_rate': 4.386171171090547e-05, 'epoch': 0.02}

 27%|██▋       | 2665/10000 [5:12:56<22:50:58, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0465505123138428, dino_loss: 0.7265625, depth_loss: 0.06820347905158997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9353902339935303, dino_loss: 0.69140625, depth_loss: 0.06833264231681824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2666/10000 [5:13:07<22:46:55, 11.18s/it]
                                                         
{'loss': 1.7683, 'grad_norm': 1.331058144569397, 'learning_rate': 4.3856284518402594e-05, 'epoch': 0.02}

 27%|██▋       | 2666/10000 [5:13:07<22:46:55, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.926223635673523, dino_loss: 0.64453125, depth_loss: 0.0516664944589138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9688438177108765, dino_loss: 0.70703125, depth_loss: 0.06649050861597061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2667/10000 [5:13:19<22:52:13, 11.23s/it]
                                                         
{'loss': 1.6824, 'grad_norm': 1.2272098064422607, 'learning_rate': 4.3850855263804794e-05, 'epoch': 0.02}

 27%|██▋       | 2667/10000 [5:13:19<22:52:13, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8761701583862305, dino_loss: 0.69921875, depth_loss: 0.06686967611312866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7847131490707397, dino_loss: 0.6484375, depth_loss: 0.0514267235994339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2668/10000 [5:13:30<22:58:28, 11.28s/it]
                                                         
{'loss': 1.5635, 'grad_norm': 3.1904826164245605, 'learning_rate': 4.3845423947705796e-05, 'epoch': 0.02}

 27%|██▋       | 2668/10000 [5:13:30<22:58:28, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8693437576293945, dino_loss: 0.703125, depth_loss: 0.06861276924610138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8834009170532227, dino_loss: 0.6796875, depth_loss: 0.05300670117139816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2669/10000 [5:13:41<22:59:50, 11.29s/it]
                                                         
{'loss': 1.6286, 'grad_norm': 2.539644718170166, 'learning_rate': 4.383999057069959e-05, 'epoch': 0.02}

 27%|██▋       | 2669/10000 [5:13:41<22:59:50, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8747762441635132, dino_loss: 0.67578125, depth_loss: 0.05790293216705322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9172773361206055, dino_loss: 0.7109375, depth_loss: 0.06358940899372101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2670/10000 [5:13:53<22:53:20, 11.24s/it]
                                                         
{'loss': 1.6502, 'grad_norm': 2.0151796340942383, 'learning_rate': 4.383455513338032e-05, 'epoch': 0.02}

 27%|██▋       | 2670/10000 [5:13:53<22:53:20, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0635356903076172, dino_loss: 0.7578125, depth_loss: 0.060669731348752975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9731255769729614, dino_loss: 0.703125, depth_loss: 0.061600808054208755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2671/10000 [5:14:03<22:34:14, 11.09s/it]
                                                         
{'loss': 1.81, 'grad_norm': 2.2896547317504883, 'learning_rate': 4.382911763634242e-05, 'epoch': 0.02}

 27%|██▋       | 2671/10000 [5:14:03<22:34:14, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.802325427532196, dino_loss: 0.69140625, depth_loss: 0.07290967553853989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9680145382881165, dino_loss: 0.671875, depth_loss: 0.07640793919563293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2672/10000 [5:14:14<22:34:59, 11.09s/it]
                                                         
{'loss': 1.6416, 'grad_norm': 2.697456121444702, 'learning_rate': 4.382367808018053e-05, 'epoch': 0.02}

 27%|██▋       | 2672/10000 [5:14:14<22:34:59, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0762622356414795, dino_loss: 0.68359375, depth_loss: 0.06396522372961044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9272622466087341, dino_loss: 0.6796875, depth_loss: 0.04743434488773346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2673/10000 [5:14:25<22:21:36, 10.99s/it]
                                                         
{'loss': 1.7393, 'grad_norm': 1.7801804542541504, 'learning_rate': 4.38182364654895e-05, 'epoch': 0.02}

 27%|██▋       | 2673/10000 [5:14:25<22:21:36, 10.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.912665843963623, dino_loss: 0.6875, depth_loss: 0.061594195663928986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.087911605834961, dino_loss: 0.70703125, depth_loss: 0.07081270217895508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2674/10000 [5:14:36<22:25:52, 11.02s/it]
                                                         
{'loss': 1.7639, 'grad_norm': 2.3675482273101807, 'learning_rate': 4.381279279286443e-05, 'epoch': 0.02}

 27%|██▋       | 2674/10000 [5:14:36<22:25:52, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9820399284362793, dino_loss: 0.68359375, depth_loss: 0.06599404662847519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0648620128631592, dino_loss: 0.7265625, depth_loss: 0.06461584568023682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2675/10000 [5:14:47<22:20:41, 10.98s/it]
                                                         
{'loss': 1.7939, 'grad_norm': 3.3090121746063232, 'learning_rate': 4.3807347062900624e-05, 'epoch': 0.02}

 27%|██▋       | 2675/10000 [5:14:47<22:20:41, 10.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0099215507507324, dino_loss: 0.7265625, depth_loss: 0.05461927503347397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9432711601257324, dino_loss: 0.6953125, depth_loss: 0.07127518951892853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2676/10000 [5:14:58<22:16:14, 10.95s/it]
                                                         
{'loss': 1.7505, 'grad_norm': 1.706540584564209, 'learning_rate': 4.3801899276193614e-05, 'epoch': 0.02}

 27%|██▋       | 2676/10000 [5:14:58<22:16:14, 10.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9005764126777649, dino_loss: 0.73046875, depth_loss: 0.06793452799320221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8580362796783447, dino_loss: 0.66015625, depth_loss: 0.05148232728242874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2677/10000 [5:15:09<22:36:54, 11.12s/it]
                                                         
{'loss': 1.6344, 'grad_norm': 2.080883502960205, 'learning_rate': 4.379644943333917e-05, 'epoch': 0.02}

 27%|██▋       | 2677/10000 [5:15:09<22:36:54, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0003235340118408, dino_loss: 0.7265625, depth_loss: 0.056404344737529755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0303382873535156, dino_loss: 0.6953125, depth_loss: 0.07245323061943054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2678/10000 [5:15:21<22:33:51, 11.09s/it]
                                                         
{'loss': 1.7908, 'grad_norm': 3.254476308822632, 'learning_rate': 4.3790997534933276e-05, 'epoch': 0.02}

 27%|██▋       | 2678/10000 [5:15:21<22:33:51, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0652390718460083, dino_loss: 0.76171875, depth_loss: 0.06094965711236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8143151998519897, dino_loss: 0.6328125, depth_loss: 0.05800078809261322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2679/10000 [5:15:32<22:42:33, 11.17s/it]
                                                         
{'loss': 1.6967, 'grad_norm': 1.8081237077713013, 'learning_rate': 4.3785543581572144e-05, 'epoch': 0.02}

 27%|██▋       | 2679/10000 [5:15:32<22:42:33, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9284732937812805, dino_loss: 0.72265625, depth_loss: 0.06642822176218033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9537149667739868, dino_loss: 0.66796875, depth_loss: 0.05237048491835594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2680/10000 [5:15:43<22:25:57, 11.03s/it]
                                                         
{'loss': 1.6959, 'grad_norm': 1.0798168182373047, 'learning_rate': 4.3780087573852213e-05, 'epoch': 0.02}

 27%|██▋       | 2680/10000 [5:15:43<22:25:57, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9452988505363464, dino_loss: 0.76171875, depth_loss: 0.06958790868520737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8392143845558167, dino_loss: 0.66015625, depth_loss: 0.050391294062137604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2681/10000 [5:15:54<22:35:53, 11.12s/it]
                                                         
{'loss': 1.6632, 'grad_norm': 3.2559027671813965, 'learning_rate': 4.3774629512370134e-05, 'epoch': 0.02}

 27%|██▋       | 2681/10000 [5:15:54<22:35:53, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9077930450439453, dino_loss: 0.703125, depth_loss: 0.053100574761629105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9520041942596436, dino_loss: 0.75, depth_loss: 0.07010522484779358, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2682/10000 [5:16:05<22:22:47, 11.01s/it]
                                                         
{'loss': 1.7182, 'grad_norm': 1.107149362564087, 'learning_rate': 4.3769169397722805e-05, 'epoch': 0.02}

 27%|██▋       | 2682/10000 [5:16:05<22:22:47, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9461620450019836, dino_loss: 0.67578125, depth_loss: 0.05942231044173241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8307968378067017, dino_loss: 0.66796875, depth_loss: 0.0464039146900177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2683/10000 [5:16:16<22:49:26, 11.23s/it]
                                                         
{'loss': 1.6133, 'grad_norm': 3.5439693927764893, 'learning_rate': 4.376370723050732e-05, 'epoch': 0.02}

 27%|██▋       | 2683/10000 [5:16:16<22:49:26, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 6
seg_loss: 0.9167145490646362, dino_loss: 0.7421875, depth_loss: 0.06887541711330414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9831013679504395, dino_loss: 0.74609375, depth_loss: 0.06364868581295013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2684/10000 [5:16:28<23:02:09, 11.34s/it]
                                                         
{'loss': 1.7604, 'grad_norm': 2.39306902885437, 'learning_rate': 4.375824301132103e-05, 'epoch': 0.02}

 27%|██▋       | 2684/10000 [5:16:28<23:02:09, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8277803659439087, dino_loss: 0.72265625, depth_loss: 0.06918008625507355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 0.719281792640686, dino_loss: 0.73046875, depth_loss: 0.049659810960292816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2685/10000 [5:16:40<23:30:24, 11.57s/it]
                                                         
{'loss': 1.5596, 'grad_norm': 2.9069881439208984, 'learning_rate': 4.375277674076149e-05, 'epoch': 0.02}

 27%|██▋       | 2685/10000 [5:16:40<23:30:24, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8720649480819702, dino_loss: 0.73046875, depth_loss: 0.05508985370397568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.980939507484436, dino_loss: 0.734375, depth_loss: 0.060282543301582336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2686/10000 [5:16:51<23:20:28, 11.49s/it]
                                                         
{'loss': 1.7166, 'grad_norm': 4.1222920417785645, 'learning_rate': 4.374730841942648e-05, 'epoch': 0.02}

 27%|██▋       | 2686/10000 [5:16:51<23:20:28, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8895288705825806, dino_loss: 0.68359375, depth_loss: 0.05238667502999306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0570244789123535, dino_loss: 0.72265625, depth_loss: 0.053806520998477936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2687/10000 [5:17:03<23:14:14, 11.44s/it]
                                                         
{'loss': 1.7295, 'grad_norm': 1.6853325366973877, 'learning_rate': 4.3741838047914003e-05, 'epoch': 0.02}

 27%|██▋       | 2687/10000 [5:17:03<23:14:14, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9282855987548828, dino_loss: 0.69140625, depth_loss: 0.07330173254013062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9480352401733398, dino_loss: 0.68359375, depth_loss: 0.05322796851396561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2688/10000 [5:17:14<23:02:32, 11.34s/it]
                                                         
{'loss': 1.689, 'grad_norm': 2.271606683731079, 'learning_rate': 4.37363656268223e-05, 'epoch': 0.02}

 27%|██▋       | 2688/10000 [5:17:14<23:02:32, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9739733934402466, dino_loss: 0.7109375, depth_loss: 0.060886844992637634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0006685256958008, dino_loss: 0.7265625, depth_loss: 0.06325618922710419, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2689/10000 [5:17:25<23:02:10, 11.34s/it]
                                                         
{'loss': 1.7682, 'grad_norm': 2.3414177894592285, 'learning_rate': 4.373089115674981e-05, 'epoch': 0.02}

 27%|██▋       | 2689/10000 [5:17:25<23:02:10, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.086280107498169, dino_loss: 0.71484375, depth_loss: 0.07550542056560516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.866206705570221, dino_loss: 0.71875, depth_loss: 0.0679064393043518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2690/10000 [5:17:36<22:48:00, 11.23s/it]
                                                         
{'loss': 1.7648, 'grad_norm': 3.0189342498779297, 'learning_rate': 4.3725414638295235e-05, 'epoch': 0.02}

 27%|██▋       | 2690/10000 [5:17:36<22:48:00, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8965814113616943, dino_loss: 0.71484375, depth_loss: 0.06967615336179733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8960661292076111, dino_loss: 0.69140625, depth_loss: 0.05906674265861511, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2691/10000 [5:17:47<22:43:21, 11.19s/it]
                                                         
{'loss': 1.6638, 'grad_norm': 2.1109471321105957, 'learning_rate': 4.3719936072057465e-05, 'epoch': 0.02}

 27%|██▋       | 2691/10000 [5:17:47<22:43:21, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9163611531257629, dino_loss: 0.6796875, depth_loss: 0.06042436510324478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1004443168640137, dino_loss: 0.7265625, depth_loss: 0.06966865062713623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2692/10000 [5:17:58<22:32:19, 11.10s/it]
                                                         
{'loss': 1.7766, 'grad_norm': 2.627939462661743, 'learning_rate': 4.3714455458635625e-05, 'epoch': 0.02}

 27%|██▋       | 2692/10000 [5:17:58<22:32:19, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8868343234062195, dino_loss: 0.67578125, depth_loss: 0.054936595261096954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9517622590065002, dino_loss: 0.7265625, depth_loss: 0.06720311939716339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2693/10000 [5:18:09<22:28:20, 11.07s/it]
                                                         
{'loss': 1.6816, 'grad_norm': 1.9264460802078247, 'learning_rate': 4.370897279862909e-05, 'epoch': 0.02}

 27%|██▋       | 2693/10000 [5:18:09<22:28:20, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0284922122955322, dino_loss: 0.69921875, depth_loss: 0.06342704594135284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.013559103012085, dino_loss: 0.70703125, depth_loss: 0.0539272241294384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2694/10000 [5:18:21<23:01:24, 11.34s/it]
                                                         
{'loss': 1.7829, 'grad_norm': 2.0545530319213867, 'learning_rate': 4.3703488092637405e-05, 'epoch': 0.02}

 27%|██▋       | 2694/10000 [5:18:21<23:01:24, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8210219144821167, dino_loss: 0.6875, depth_loss: 0.058168020099401474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9653434753417969, dino_loss: 0.69921875, depth_loss: 0.06439770758152008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2695/10000 [5:18:32<22:49:17, 11.25s/it]
                                                         
{'loss': 1.6479, 'grad_norm': 2.5396499633789062, 'learning_rate': 4.369800134126039e-05, 'epoch': 0.02}

 27%|██▋       | 2695/10000 [5:18:32<22:49:17, 11.25s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1028640270233154, dino_loss: 0.69140625, depth_loss: 0.053914040327072144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0138765573501587, dino_loss: 0.71484375, depth_loss: 0.07054797559976578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2696/10000 [5:18:43<22:31:15, 11.10s/it]
                                                         
{'loss': 1.8238, 'grad_norm': 3.6794400215148926, 'learning_rate': 4.369251254509805e-05, 'epoch': 0.02}

 27%|██▋       | 2696/10000 [5:18:43<22:31:15, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9422284364700317, dino_loss: 0.67578125, depth_loss: 0.06285255402326584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9940209984779358, dino_loss: 0.70703125, depth_loss: 0.05350402370095253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2697/10000 [5:18:54<22:31:42, 11.11s/it]
                                                         
{'loss': 1.7177, 'grad_norm': 2.6968297958374023, 'learning_rate': 4.3687021704750644e-05, 'epoch': 0.02}

 27%|██▋       | 2697/10000 [5:18:54<22:31:42, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9487468004226685, dino_loss: 0.71484375, depth_loss: 0.09146356582641602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8764955997467041, dino_loss: 0.6796875, depth_loss: 0.05973053723573685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2698/10000 [5:19:05<22:43:52, 11.21s/it]
                                                         
{'loss': 1.6855, 'grad_norm': 2.271775007247925, 'learning_rate': 4.368152882081865e-05, 'epoch': 0.02}

 27%|██▋       | 2698/10000 [5:19:05<22:43:52, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0894720554351807, dino_loss: 0.75, depth_loss: 0.07964372634887695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.919788122177124, dino_loss: 0.76171875, depth_loss: 0.06161841005086899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2699/10000 [5:19:17<22:46:42, 11.23s/it]
                                                         
{'loss': 1.8312, 'grad_norm': 3.9526758193969727, 'learning_rate': 4.3676033893902746e-05, 'epoch': 0.02}

 27%|██▋       | 2699/10000 [5:19:17<22:46:42, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9473307132720947, dino_loss: 0.66015625, depth_loss: 0.05984392762184143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9568560123443604, dino_loss: 0.6953125, depth_loss: 0.06066986918449402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2700/10000 [5:19:28<22:41:50, 11.19s/it]
                                                         
{'loss': 1.6901, 'grad_norm': 2.451770782470703, 'learning_rate': 4.367053692460385e-05, 'epoch': 0.02}

 27%|██▋       | 2700/10000 [5:19:28<22:41:50, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0497803688049316, dino_loss: 0.6796875, depth_loss: 0.06223318725824356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9713847637176514, dino_loss: 0.65625, depth_loss: 0.05734792724251747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2701/10000 [5:19:39<22:56:21, 11.31s/it]
                                                         
{'loss': 1.7384, 'grad_norm': 1.9047315120697021, 'learning_rate': 4.366503791352311e-05, 'epoch': 0.02}

 27%|██▋       | 2701/10000 [5:19:39<22:56:21, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8678305149078369, dino_loss: 0.6875, depth_loss: 0.06347888708114624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9474853277206421, dino_loss: 0.765625, depth_loss: 0.0648110881447792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2702/10000 [5:19:51<22:46:55, 11.24s/it]
                                                         
{'loss': 1.6984, 'grad_norm': 2.2139203548431396, 'learning_rate': 4.3659536861261884e-05, 'epoch': 0.02}

 27%|██▋       | 2702/10000 [5:19:51<22:46:55, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.046221137046814, dino_loss: 0.7421875, depth_loss: 0.07132850587368011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 1
the number of masks: 8
seg_loss: 0.7805071473121643, dino_loss: 0.69140625, depth_loss: 0.06520064920186996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2703/10000 [5:20:02<22:42:40, 11.20s/it]
                                                         
{'loss': 1.6985, 'grad_norm': 2.7638673782348633, 'learning_rate': 4.365403376842177e-05, 'epoch': 0.02}

 27%|██▋       | 2703/10000 [5:20:02<22:42:40, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9177513122558594, dino_loss: 0.69140625, depth_loss: 0.07472291588783264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8598337769508362, dino_loss: 0.66015625, depth_loss: 0.06125824898481369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2704/10000 [5:20:13<22:41:33, 11.20s/it]
                                                         
{'loss': 1.6326, 'grad_norm': 1.6364703178405762, 'learning_rate': 4.3648528635604556e-05, 'epoch': 0.02}

 27%|██▋       | 2704/10000 [5:20:13<22:41:33, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8122856616973877, dino_loss: 0.6484375, depth_loss: 0.05350872874259949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.989519476890564, dino_loss: 0.734375, depth_loss: 0.056713782250881195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2705/10000 [5:20:24<22:37:23, 11.16s/it]
                                                         
{'loss': 1.6475, 'grad_norm': 1.605384349822998, 'learning_rate': 4.3643021463412294e-05, 'epoch': 0.02}

 27%|██▋       | 2705/10000 [5:20:24<22:37:23, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9938517808914185, dino_loss: 0.6796875, depth_loss: 0.05954025313258171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.969883918762207, dino_loss: 0.74609375, depth_loss: 0.07354431599378586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2706/10000 [5:20:35<22:34:11, 11.14s/it]
                                                         
{'loss': 1.7614, 'grad_norm': 1.989888072013855, 'learning_rate': 4.363751225244723e-05, 'epoch': 0.02}

 27%|██▋       | 2706/10000 [5:20:35<22:34:11, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.983344554901123, dino_loss: 0.671875, depth_loss: 0.05211494863033295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0590853691101074, dino_loss: 0.75390625, depth_loss: 0.05633331835269928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2707/10000 [5:20:46<22:35:08, 11.15s/it]
                                                         
{'loss': 1.7884, 'grad_norm': 1.6122353076934814, 'learning_rate': 4.363200100331186e-05, 'epoch': 0.02}

 27%|██▋       | 2707/10000 [5:20:46<22:35:08, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.03451669216156, dino_loss: 0.73828125, depth_loss: 0.04552585631608963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9602606892585754, dino_loss: 0.73046875, depth_loss: 0.0694592297077179, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2708/10000 [5:20:57<22:24:45, 11.06s/it]
                                                         
{'loss': 1.7893, 'grad_norm': 3.443624258041382, 'learning_rate': 4.362648771660886e-05, 'epoch': 0.02}

 27%|██▋       | 2708/10000 [5:20:57<22:24:45, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9258752465248108, dino_loss: 0.67578125, depth_loss: 0.0533536896109581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9546473622322083, dino_loss: 0.6953125, depth_loss: 0.06108105555176735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2709/10000 [5:21:08<22:29:22, 11.10s/it]
                                                         
{'loss': 1.6831, 'grad_norm': 3.035010814666748, 'learning_rate': 4.362097239294117e-05, 'epoch': 0.02}

 27%|██▋       | 2709/10000 [5:21:08<22:29:22, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.846863865852356, dino_loss: 0.77734375, depth_loss: 0.07042518258094788, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9697098731994629, dino_loss: 0.67578125, depth_loss: 0.06357082724571228, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2710/10000 [5:21:19<22:20:09, 11.03s/it]
                                                         
{'loss': 1.7019, 'grad_norm': 1.5377248525619507, 'learning_rate': 4.3615455032911946e-05, 'epoch': 0.02}

 27%|██▋       | 2710/10000 [5:21:19<22:20:09, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0891839265823364, dino_loss: 0.6640625, depth_loss: 0.058873631060123444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9293498396873474, dino_loss: 0.6640625, depth_loss: 0.05273819714784622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2711/10000 [5:21:30<22:30:32, 11.12s/it]
                                                         
{'loss': 1.7292, 'grad_norm': 5.212434768676758, 'learning_rate': 4.3609935637124535e-05, 'epoch': 0.02}

 27%|██▋       | 2711/10000 [5:21:30<22:30:32, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8227064609527588, dino_loss: 0.6875, depth_loss: 0.06970175355672836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.931995153427124, dino_loss: 0.6640625, depth_loss: 0.06869561225175858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2712/10000 [5:21:42<22:43:18, 11.22s/it]
                                                         
{'loss': 1.6224, 'grad_norm': 3.3096868991851807, 'learning_rate': 4.360441420618254e-05, 'epoch': 0.02}

 27%|██▋       | 2712/10000 [5:21:42<22:43:18, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9407243728637695, dino_loss: 0.7109375, depth_loss: 0.058958932757377625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 1.0513653755187988, dino_loss: 0.70703125, depth_loss: 0.05966785177588463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2713/10000 [5:21:53<22:45:34, 11.24s/it]
                                                         
{'loss': 1.7645, 'grad_norm': 2.4585206508636475, 'learning_rate': 4.359889074068979e-05, 'epoch': 0.02}

 27%|██▋       | 2713/10000 [5:21:53<22:45:34, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8378242254257202, dino_loss: 0.71875, depth_loss: 0.07130507379770279, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.019716739654541, dino_loss: 0.703125, depth_loss: 0.0642247125506401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2714/10000 [5:22:04<22:26:59, 11.09s/it]
                                                         
{'loss': 1.7075, 'grad_norm': 3.2732527256011963, 'learning_rate': 4.3593365241250304e-05, 'epoch': 0.02}

 27%|██▋       | 2714/10000 [5:22:04<22:26:59, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9396790266036987, dino_loss: 0.67578125, depth_loss: 0.065465047955513, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9557633399963379, dino_loss: 0.67578125, depth_loss: 0.06152402237057686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2715/10000 [5:22:15<22:18:31, 11.02s/it]
                                                         
{'loss': 1.6871, 'grad_norm': 2.6872575283050537, 'learning_rate': 4.358783770846836e-05, 'epoch': 0.02}

 27%|██▋       | 2715/10000 [5:22:15<22:18:31, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.8376386165618896, dino_loss: 0.6796875, depth_loss: 0.05891994386911392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9057309627532959, dino_loss: 0.6484375, depth_loss: 0.05534045398235321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2716/10000 [5:22:26<22:27:56, 11.10s/it]
                                                         
{'loss': 1.5929, 'grad_norm': 3.470177412033081, 'learning_rate': 4.358230814294842e-05, 'epoch': 0.02}

 27%|██▋       | 2716/10000 [5:22:26<22:27:56, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1120083332061768, dino_loss: 0.71484375, depth_loss: 0.0789586529135704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9388364553451538, dino_loss: 0.7265625, depth_loss: 0.07050487399101257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2717/10000 [5:22:38<22:41:15, 11.21s/it]
                                                         
{'loss': 1.8209, 'grad_norm': 2.641704797744751, 'learning_rate': 4.357677654529521e-05, 'epoch': 0.02}

 27%|██▋       | 2717/10000 [5:22:38<22:41:15, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1036373376846313, dino_loss: 0.71875, depth_loss: 0.06783939898014069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9073864817619324, dino_loss: 0.6875, depth_loss: 0.0614265613257885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2718/10000 [5:22:49<22:39:19, 11.20s/it]
                                                         
{'loss': 1.7733, 'grad_norm': 1.6253741979599, 'learning_rate': 4.357124291611363e-05, 'epoch': 0.02}

 27%|██▋       | 2718/10000 [5:22:49<22:39:19, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9075008630752563, dino_loss: 0.66015625, depth_loss: 0.08263233304023743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.063534140586853, dino_loss: 0.6953125, depth_loss: 0.05967531353235245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2719/10000 [5:23:00<22:31:50, 11.14s/it]
                                                         
{'loss': 1.7345, 'grad_norm': 5.458434581756592, 'learning_rate': 4.356570725600886e-05, 'epoch': 0.02}

 27%|██▋       | 2719/10000 [5:23:00<22:31:50, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9887601733207703, dino_loss: 0.734375, depth_loss: 0.07863788306713104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9848290085792542, dino_loss: 0.69140625, depth_loss: 0.056635722517967224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2720/10000 [5:23:11<22:28:16, 11.11s/it]
                                                         
{'loss': 1.7674, 'grad_norm': 2.020177125930786, 'learning_rate': 4.356016956558625e-05, 'epoch': 0.02}

 27%|██▋       | 2720/10000 [5:23:11<22:28:16, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0976314544677734, dino_loss: 0.72265625, depth_loss: 0.08433514833450317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0573346614837646, dino_loss: 0.7109375, depth_loss: 0.07178689539432526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2721/10000 [5:23:22<22:19:26, 11.04s/it]
                                                         
{'loss': 1.8724, 'grad_norm': 3.086212396621704, 'learning_rate': 4.355462984545141e-05, 'epoch': 0.02}

 27%|██▋       | 2721/10000 [5:23:22<22:19:26, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8729950189590454, dino_loss: 0.734375, depth_loss: 0.0769677609205246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8889004588127136, dino_loss: 0.66796875, depth_loss: 0.07814615964889526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2722/10000 [5:23:33<22:39:26, 11.21s/it]
                                                         
{'loss': 1.6597, 'grad_norm': 3.1671342849731445, 'learning_rate': 4.3549088096210136e-05, 'epoch': 0.02}

 27%|██▋       | 2722/10000 [5:23:33<22:39:26, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9534723162651062, dino_loss: 0.73828125, depth_loss: 0.05150061845779419, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9149277210235596, dino_loss: 0.734375, depth_loss: 0.06173203885555267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2723/10000 [5:23:44<22:31:07, 11.14s/it]
                                                         
{'loss': 1.7274, 'grad_norm': 2.3960278034210205, 'learning_rate': 4.3543544318468485e-05, 'epoch': 0.02}

 27%|██▋       | 2723/10000 [5:23:44<22:31:07, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9812140464782715, dino_loss: 0.6953125, depth_loss: 0.06440476328134537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8700050711631775, dino_loss: 0.703125, depth_loss: 0.062051091343164444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2724/10000 [5:23:55<22:19:59, 11.05s/it]
                                                         
{'loss': 1.6882, 'grad_norm': 1.9079726934432983, 'learning_rate': 4.35379985128327e-05, 'epoch': 0.02}

 27%|██▋       | 2724/10000 [5:23:55<22:19:59, 11.05s/it]the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.9727110266685486, dino_loss: 0.68359375, depth_loss: 0.06013820320367813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8975151777267456, dino_loss: 0.75, depth_loss: 0.057969555258750916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2725/10000 [5:24:07<22:37:41, 11.20s/it]
                                                         
{'loss': 1.7112, 'grad_norm': 2.9027903079986572, 'learning_rate': 4.3532450679909274e-05, 'epoch': 0.02}

 27%|██▋       | 2725/10000 [5:24:07<22:37:41, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9285496473312378, dino_loss: 0.6875, depth_loss: 0.05577610433101654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0953763723373413, dino_loss: 0.671875, depth_loss: 0.056432463228702545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2726/10000 [5:24:18<22:45:39, 11.26s/it]
                                                         
{'loss': 1.7478, 'grad_norm': 3.331808090209961, 'learning_rate': 4.352690082030491e-05, 'epoch': 0.02}

 27%|██▋       | 2726/10000 [5:24:18<22:45:39, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9854735136032104, dino_loss: 0.78125, depth_loss: 0.06367097795009613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0148119926452637, dino_loss: 0.7109375, depth_loss: 0.06718016415834427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2727/10000 [5:24:29<22:31:11, 11.15s/it]
                                                         
{'loss': 1.8117, 'grad_norm': 2.569451332092285, 'learning_rate': 4.352134893462651e-05, 'epoch': 0.02}

 27%|██▋       | 2727/10000 [5:24:29<22:31:11, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0261656045913696, dino_loss: 0.77734375, depth_loss: 0.06654184311628342, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9441179037094116, dino_loss: 0.671875, depth_loss: 0.06261027604341507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2728/10000 [5:24:40<22:25:54, 11.10s/it]
                                                         
{'loss': 1.7744, 'grad_norm': 1.740761160850525, 'learning_rate': 4.351579502348125e-05, 'epoch': 0.02}

 27%|██▋       | 2728/10000 [5:24:40<22:25:54, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.914974570274353, dino_loss: 0.7265625, depth_loss: 0.06832078099250793, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8593695163726807, dino_loss: 0.71484375, depth_loss: 0.06949465721845627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2729/10000 [5:24:51<22:30:02, 11.14s/it]
                                                         
{'loss': 1.6768, 'grad_norm': 3.0281341075897217, 'learning_rate': 4.3510239087476476e-05, 'epoch': 0.02}

 27%|██▋       | 2729/10000 [5:24:51<22:30:02, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0675888061523438, dino_loss: 0.74609375, depth_loss: 0.0740266814827919, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0781114101409912, dino_loss: 0.734375, depth_loss: 0.062145911157131195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2730/10000 [5:25:02<22:14:47, 11.02s/it]
                                                         
{'loss': 1.8812, 'grad_norm': 1.3712553977966309, 'learning_rate': 4.3504681127219793e-05, 'epoch': 0.02}

 27%|██▋       | 2730/10000 [5:25:02<22:14:47, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0015439987182617, dino_loss: 0.66796875, depth_loss: 0.06727015227079391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.807204008102417, dino_loss: 0.6953125, depth_loss: 0.06908375024795532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2731/10000 [5:25:13<22:05:01, 10.94s/it]
                                                         
{'loss': 1.6542, 'grad_norm': 1.936328649520874, 'learning_rate': 4.3499121143319e-05, 'epoch': 0.02}

 27%|██▋       | 2731/10000 [5:25:13<22:05:01, 10.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8937602043151855, dino_loss: 0.703125, depth_loss: 0.06095588952302933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8379459381103516, dino_loss: 0.66015625, depth_loss: 0.060954831540584564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2732/10000 [5:25:24<22:09:48, 10.98s/it]
                                                         
{'loss': 1.6085, 'grad_norm': 2.285932779312134, 'learning_rate': 4.349355913638213e-05, 'epoch': 0.02}

 27%|██▋       | 2732/10000 [5:25:24<22:09:48, 10.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9996453523635864, dino_loss: 0.73046875, depth_loss: 0.05376923084259033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9743305444717407, dino_loss: 0.65234375, depth_loss: 0.06685194373130798, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2733/10000 [5:25:35<22:37:43, 11.21s/it]
                                                         
{'loss': 1.7388, 'grad_norm': 2.2008676528930664, 'learning_rate': 4.348799510701744e-05, 'epoch': 0.02}

 27%|██▋       | 2733/10000 [5:25:35<22:37:43, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0108320713043213, dino_loss: 0.66015625, depth_loss: 0.0754728615283966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9878709316253662, dino_loss: 0.71875, depth_loss: 0.05892026424407959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2734/10000 [5:25:47<22:45:23, 11.27s/it]
                                                         
{'loss': 1.7561, 'grad_norm': 1.323438048362732, 'learning_rate': 4.3482429055833405e-05, 'epoch': 0.02}

 27%|██▋       | 2734/10000 [5:25:47<22:45:23, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0580552816390991, dino_loss: 0.6640625, depth_loss: 0.06673674285411835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0148005485534668, dino_loss: 0.7421875, depth_loss: 0.04866732284426689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2735/10000 [5:25:58<22:43:18, 11.26s/it]
                                                         
{'loss': 1.7973, 'grad_norm': 4.418299198150635, 'learning_rate': 4.3476860983438714e-05, 'epoch': 0.02}

 27%|██▋       | 2735/10000 [5:25:58<22:43:18, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9767169952392578, dino_loss: 0.76171875, depth_loss: 0.07276472449302673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.7356148958206177, dino_loss: 0.703125, depth_loss: 0.0570763424038887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2736/10000 [5:26:09<22:29:34, 11.15s/it]
                                                         
{'loss': 1.6536, 'grad_norm': 3.4917755126953125, 'learning_rate': 4.3471290890442286e-05, 'epoch': 0.02}

 27%|██▋       | 2736/10000 [5:26:09<22:29:34, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8653198480606079, dino_loss: 0.71484375, depth_loss: 0.09035912901163101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.3724563121795654, dino_loss: 0.69921875, depth_loss: 0.06767584383487701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2737/10000 [5:26:20<22:41:09, 11.24s/it]
                                                         
{'loss': 1.905, 'grad_norm': 2.9080216884613037, 'learning_rate': 4.346571877745326e-05, 'epoch': 0.02}

 27%|██▋       | 2737/10000 [5:26:20<22:41:09, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9835866689682007, dino_loss: 0.68359375, depth_loss: 0.06377363950014114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8010737299919128, dino_loss: 0.73046875, depth_loss: 0.06143485754728317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2738/10000 [5:26:32<22:56:08, 11.37s/it]
                                                         
{'loss': 1.6622, 'grad_norm': 4.265514850616455, 'learning_rate': 4.346014464508098e-05, 'epoch': 0.02}

 27%|██▋       | 2738/10000 [5:26:32<22:56:08, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8589930534362793, dino_loss: 0.6953125, depth_loss: 0.07112811505794525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0433894395828247, dino_loss: 0.6875, depth_loss: 0.07057803869247437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2739/10000 [5:26:43<22:44:18, 11.27s/it]
                                                         
{'loss': 1.7136, 'grad_norm': 1.9536831378936768, 'learning_rate': 4.345456849393505e-05, 'epoch': 0.02}

 27%|██▋       | 2739/10000 [5:26:43<22:44:18, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0580958127975464, dino_loss: 0.734375, depth_loss: 0.07111629098653793, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9216974377632141, dino_loss: 0.7109375, depth_loss: 0.07754892855882645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2740/10000 [5:26:54<22:33:30, 11.19s/it]
                                                         
{'loss': 1.7869, 'grad_norm': 2.3523261547088623, 'learning_rate': 4.3448990324625244e-05, 'epoch': 0.02}

 27%|██▋       | 2740/10000 [5:26:54<22:33:30, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0661602020263672, dino_loss: 0.7890625, depth_loss: 0.07702039927244186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0507904291152954, dino_loss: 0.7109375, depth_loss: 0.0711212307214737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2741/10000 [5:27:05<22:26:28, 11.13s/it]
                                                         
{'loss': 1.8827, 'grad_norm': 1.9095805883407593, 'learning_rate': 4.34434101377616e-05, 'epoch': 0.02}

 27%|██▋       | 2741/10000 [5:27:05<22:26:28, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9055263996124268, dino_loss: 0.6953125, depth_loss: 0.04768994450569153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0107955932617188, dino_loss: 0.7109375, depth_loss: 0.07926974445581436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2742/10000 [5:27:16<22:27:36, 11.14s/it]
                                                         
{'loss': 1.7248, 'grad_norm': 2.462618112564087, 'learning_rate': 4.343782793395435e-05, 'epoch': 0.02}

 27%|██▋       | 2742/10000 [5:27:16<22:27:36, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9408121705055237, dino_loss: 0.6875, depth_loss: 0.06450827419757843, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8899267911911011, dino_loss: 0.71484375, depth_loss: 0.06730656325817108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2743/10000 [5:27:27<22:28:43, 11.15s/it]
                                                         
{'loss': 1.6825, 'grad_norm': 2.6443352699279785, 'learning_rate': 4.3432243713813955e-05, 'epoch': 0.02}

 27%|██▋       | 2743/10000 [5:27:27<22:28:43, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0554327964782715, dino_loss: 0.6796875, depth_loss: 0.04982471466064453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.800478458404541, dino_loss: 0.64453125, depth_loss: 0.049763862043619156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2744/10000 [5:27:39<22:57:57, 11.39s/it]
                                                         
{'loss': 1.6399, 'grad_norm': 2.5617287158966064, 'learning_rate': 4.3426657477951105e-05, 'epoch': 0.02}

 27%|██▋       | 2744/10000 [5:27:39<22:57:57, 11.39s/it]the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.8689830303192139, dino_loss: 0.71484375, depth_loss: 0.06877931207418442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.002073049545288, dino_loss: 0.734375, depth_loss: 0.08119745552539825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2745/10000 [5:27:50<22:45:09, 11.29s/it]
                                                         
{'loss': 1.7352, 'grad_norm': 1.9001339673995972, 'learning_rate': 4.342106922697669e-05, 'epoch': 0.02}

 27%|██▋       | 2745/10000 [5:27:50<22:45:09, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9169570207595825, dino_loss: 0.71875, depth_loss: 0.07299485802650452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9057343602180481, dino_loss: 0.70703125, depth_loss: 0.07263460010290146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2746/10000 [5:28:01<22:31:45, 11.18s/it]
                                                         
{'loss': 1.6971, 'grad_norm': 3.5711119174957275, 'learning_rate': 4.341547896150185e-05, 'epoch': 0.02}

 27%|██▋       | 2746/10000 [5:28:01<22:31:45, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0179052352905273, dino_loss: 0.6640625, depth_loss: 0.06873071193695068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8408256769180298, dino_loss: 0.6796875, depth_loss: 0.056662969291210175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2747/10000 [5:28:13<22:35:38, 11.21s/it]
                                                         
{'loss': 1.664, 'grad_norm': 2.992297410964966, 'learning_rate': 4.340988668213792e-05, 'epoch': 0.02}

 27%|██▋       | 2747/10000 [5:28:13<22:35:38, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0313763618469238, dino_loss: 0.73046875, depth_loss: 0.05388930067420006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8714688420295715, dino_loss: 0.6640625, depth_loss: 0.05033424124121666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2748/10000 [5:28:24<22:30:41, 11.18s/it]
                                                         
{'loss': 1.7009, 'grad_norm': 2.993309259414673, 'learning_rate': 4.340429238949646e-05, 'epoch': 0.02}

 27%|██▋       | 2748/10000 [5:28:24<22:30:41, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9219239950180054, dino_loss: 0.71875, depth_loss: 0.05038468539714813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9992365837097168, dino_loss: 0.70703125, depth_loss: 0.07746998965740204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 27%|██▋       | 2749/10000 [5:28:35<22:42:57, 11.28s/it]
                                                         
{'loss': 1.7374, 'grad_norm': 5.6681227684021, 'learning_rate': 4.3398696084189245e-05, 'epoch': 0.02}

 27%|██▋       | 2749/10000 [5:28:35<22:42:57, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.9026638269424438, dino_loss: 0.6875, depth_loss: 0.059100545942783356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.093153476715088, dino_loss: 0.70703125, depth_loss: 0.05896178260445595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2750/10000 [5:28:46<22:37:39, 11.24s/it]
                                                         
{'loss': 1.7542, 'grad_norm': 6.87704610824585, 'learning_rate': 4.3393097766828293e-05, 'epoch': 0.02}

 28%|██▊       | 2750/10000 [5:28:46<22:37:39, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.847745418548584, dino_loss: 0.6640625, depth_loss: 0.06764957308769226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8943576812744141, dino_loss: 0.7109375, depth_loss: 0.07184803485870361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2751/10000 [5:28:57<22:30:30, 11.18s/it]
                                                         
{'loss': 1.6283, 'grad_norm': 1.837849497795105, 'learning_rate': 4.3387497438025825e-05, 'epoch': 0.02}

 28%|██▊       | 2751/10000 [5:28:57<22:30:30, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8751991391181946, dino_loss: 0.71875, depth_loss: 0.07003719359636307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.947500467300415, dino_loss: 0.671875, depth_loss: 0.07181493192911148, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2752/10000 [5:29:08<22:19:16, 11.09s/it]
                                                         
{'loss': 1.6776, 'grad_norm': 1.1293481588363647, 'learning_rate': 4.338189509839427e-05, 'epoch': 0.02}

 28%|██▊       | 2752/10000 [5:29:08<22:19:16, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9386522769927979, dino_loss: 0.6875, depth_loss: 0.062470026314258575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9192538261413574, dino_loss: 0.71484375, depth_loss: 0.07816533744335175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2753/10000 [5:29:20<22:25:46, 11.14s/it]
                                                         
{'loss': 1.7005, 'grad_norm': 1.8185453414916992, 'learning_rate': 4.3376290748546325e-05, 'epoch': 0.02}

 28%|██▊       | 2753/10000 [5:29:20<22:25:46, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.909813642501831, dino_loss: 0.70703125, depth_loss: 0.05416341498494148, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8407886028289795, dino_loss: 0.6875, depth_loss: 0.08356934785842896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2754/10000 [5:29:31<22:19:50, 11.09s/it]
                                                         
{'loss': 1.6415, 'grad_norm': 2.2429208755493164, 'learning_rate': 4.337068438909484e-05, 'epoch': 0.02}

 28%|██▊       | 2754/10000 [5:29:31<22:19:50, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.85596764087677, dino_loss: 0.65625, depth_loss: 0.058610450476408005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0969185829162598, dino_loss: 0.73046875, depth_loss: 0.06708914041519165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2755/10000 [5:29:42<22:21:31, 11.11s/it]
                                                         
{'loss': 1.7327, 'grad_norm': 5.286375522613525, 'learning_rate': 4.336507602065293e-05, 'epoch': 0.02}

 28%|██▊       | 2755/10000 [5:29:42<22:21:31, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8508002758026123, dino_loss: 0.73828125, depth_loss: 0.06031850725412369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.803795337677002, dino_loss: 0.69140625, depth_loss: 0.053435761481523514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2756/10000 [5:29:53<22:36:18, 11.23s/it]
                                                         
{'loss': 1.5991, 'grad_norm': 2.617262125015259, 'learning_rate': 4.335946564383392e-05, 'epoch': 0.02}

 28%|██▊       | 2756/10000 [5:29:53<22:36:18, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9051250219345093, dino_loss: 0.69921875, depth_loss: 0.06493168324232101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0117849111557007, dino_loss: 0.69921875, depth_loss: 0.06516177952289581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2757/10000 [5:30:04<22:31:48, 11.20s/it]
                                                         
{'loss': 1.7228, 'grad_norm': 2.3139073848724365, 'learning_rate': 4.335385325925135e-05, 'epoch': 0.02}

 28%|██▊       | 2757/10000 [5:30:04<22:31:48, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.9799883961677551, dino_loss: 0.7109375, depth_loss: 0.06729816645383835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592989444732666, dino_loss: 0.71484375, depth_loss: 0.07061753422021866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2758/10000 [5:30:15<22:28:37, 11.17s/it]
                                                         
{'loss': 1.7015, 'grad_norm': 2.427985906600952, 'learning_rate': 4.3348238867518985e-05, 'epoch': 0.02}

 28%|██▊       | 2758/10000 [5:30:15<22:28:37, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8719476461410522, dino_loss: 0.69140625, depth_loss: 0.06286686658859253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 1.032647967338562, dino_loss: 0.71484375, depth_loss: 0.07734221965074539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2759/10000 [5:30:27<22:49:43, 11.35s/it]
                                                         
{'loss': 1.7256, 'grad_norm': 3.1698403358459473, 'learning_rate': 4.33426224692508e-05, 'epoch': 0.02}

 28%|██▊       | 2759/10000 [5:30:27<22:49:43, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.004637360572815, dino_loss: 0.71484375, depth_loss: 0.07423493266105652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0702306032180786, dino_loss: 0.70703125, depth_loss: 0.07702028006315231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2760/10000 [5:30:38<22:32:36, 11.21s/it]
                                                         
{'loss': 1.8241, 'grad_norm': 3.854046583175659, 'learning_rate': 4.3337004065061e-05, 'epoch': 0.02}

 28%|██▊       | 2760/10000 [5:30:38<22:32:36, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8847222328186035, dino_loss: 0.71875, depth_loss: 0.09398055076599121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.915184497833252, dino_loss: 0.6953125, depth_loss: 0.06177293509244919, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2761/10000 [5:30:49<22:21:40, 11.12s/it]
                                                         
{'loss': 1.6849, 'grad_norm': 2.7379086017608643, 'learning_rate': 4.3331383655564006e-05, 'epoch': 0.02}

 28%|██▊       | 2761/10000 [5:30:49<22:21:40, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8979008793830872, dino_loss: 0.671875, depth_loss: 0.062408264726400375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8198713660240173, dino_loss: 0.66015625, depth_loss: 0.0454542450606823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2762/10000 [5:31:01<22:40:47, 11.28s/it]
                                                         
{'loss': 1.5789, 'grad_norm': 2.5475165843963623, 'learning_rate': 4.332576124137445e-05, 'epoch': 0.02}

 28%|██▊       | 2762/10000 [5:31:01<22:40:47, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9856806397438049, dino_loss: 0.71484375, depth_loss: 0.095577672123909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8561170101165771, dino_loss: 0.6875, depth_loss: 0.07265981286764145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2763/10000 [5:31:12<22:32:34, 11.21s/it]
                                                         
{'loss': 1.7062, 'grad_norm': 2.3458237648010254, 'learning_rate': 4.3320136823107205e-05, 'epoch': 0.02}

 28%|██▊       | 2763/10000 [5:31:12<22:32:34, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0382932424545288, dino_loss: 0.66796875, depth_loss: 0.07224959880113602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0252063274383545, dino_loss: 0.74609375, depth_loss: 0.06592805683612823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2764/10000 [5:31:23<22:28:37, 11.18s/it]
                                                         
{'loss': 1.8079, 'grad_norm': 2.4060239791870117, 'learning_rate': 4.331451040137734e-05, 'epoch': 0.02}

 28%|██▊       | 2764/10000 [5:31:23<22:28:37, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0733628273010254, dino_loss: 0.6875, depth_loss: 0.06369491666555405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8769629597663879, dino_loss: 0.77734375, depth_loss: 0.06263135373592377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2765/10000 [5:31:35<22:45:02, 11.32s/it]
                                                         
{'loss': 1.7708, 'grad_norm': 2.2996158599853516, 'learning_rate': 4.3308881976800146e-05, 'epoch': 0.02}

 28%|██▊       | 2765/10000 [5:31:35<22:45:02, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0425291061401367, dino_loss: 0.703125, depth_loss: 0.07542625069618225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.950342059135437, dino_loss: 0.78125, depth_loss: 0.0651678666472435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2766/10000 [5:31:46<22:44:06, 11.31s/it]
                                                         
{'loss': 1.809, 'grad_norm': 2.803224802017212, 'learning_rate': 4.330325154999115e-05, 'epoch': 0.02}

 28%|██▊       | 2766/10000 [5:31:46<22:44:06, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9123510718345642, dino_loss: 0.69921875, depth_loss: 0.07060502469539642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.9191758632659912, dino_loss: 0.71875, depth_loss: 0.04868527501821518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2767/10000 [5:31:57<22:21:41, 11.13s/it]
                                                         
{'loss': 1.6844, 'grad_norm': 4.809998035430908, 'learning_rate': 4.329761912156609e-05, 'epoch': 0.02}

 28%|██▊       | 2767/10000 [5:31:57<22:21:41, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9565789699554443, dino_loss: 0.71875, depth_loss: 0.0604734942317009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9268456697463989, dino_loss: 0.70703125, depth_loss: 0.08198356628417969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2768/10000 [5:32:07<22:16:19, 11.09s/it]
                                                         
{'loss': 1.7259, 'grad_norm': 3.1024587154388428, 'learning_rate': 4.3291984692140905e-05, 'epoch': 0.02}

 28%|██▊       | 2768/10000 [5:32:07<22:16:19, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9765374660491943, dino_loss: 0.71484375, depth_loss: 0.07626232504844666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8883160352706909, dino_loss: 0.71484375, depth_loss: 0.07617679238319397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2769/10000 [5:32:19<22:23:27, 11.15s/it]
                                                         
{'loss': 1.7236, 'grad_norm': 3.199727773666382, 'learning_rate': 4.328634826233178e-05, 'epoch': 0.02}

 28%|██▊       | 2769/10000 [5:32:19<22:23:27, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9197869300842285, dino_loss: 0.68359375, depth_loss: 0.057647909969091415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9894104599952698, dino_loss: 0.6875, depth_loss: 0.06825507432222366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2770/10000 [5:32:30<22:30:04, 11.20s/it]
                                                         
{'loss': 1.7032, 'grad_norm': 4.69028902053833, 'learning_rate': 4.3280709832755094e-05, 'epoch': 0.02}

 28%|██▊       | 2770/10000 [5:32:30<22:30:04, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0895135402679443, dino_loss: 0.65234375, depth_loss: 0.05162080377340317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8835806250572205, dino_loss: 0.66015625, depth_loss: 0.07219482958316803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2771/10000 [5:32:41<22:19:53, 11.12s/it]
                                                         
{'loss': 1.7048, 'grad_norm': 2.6305277347564697, 'learning_rate': 4.3275069404027476e-05, 'epoch': 0.02}

 28%|██▊       | 2771/10000 [5:32:41<22:19:53, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0631035566329956, dino_loss: 0.6796875, depth_loss: 0.06838227063417435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8991149663925171, dino_loss: 0.67578125, depth_loss: 0.06085383892059326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2772/10000 [5:32:52<22:17:30, 11.10s/it]
                                                         
{'loss': 1.7237, 'grad_norm': 3.320223808288574, 'learning_rate': 4.3269426976765734e-05, 'epoch': 0.02}

 28%|██▊       | 2772/10000 [5:32:52<22:17:30, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.812738299369812, dino_loss: 0.6171875, depth_loss: 0.047288428992033005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9828891158103943, dino_loss: 0.67578125, depth_loss: 0.06260383874177933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2773/10000 [5:33:04<22:32:17, 11.23s/it]
                                                         
{'loss': 1.5996, 'grad_norm': 3.317105293273926, 'learning_rate': 4.3263782551586935e-05, 'epoch': 0.02}

 28%|██▊       | 2773/10000 [5:33:04<22:32:17, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8282000422477722, dino_loss: 0.703125, depth_loss: 0.07652494311332703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.7516988515853882, dino_loss: 0.64453125, depth_loss: 0.04849442467093468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2774/10000 [5:33:15<22:51:16, 11.39s/it]
                                                         
{'loss': 1.5264, 'grad_norm': 2.9797630310058594, 'learning_rate': 4.325813612910833e-05, 'epoch': 0.02}

 28%|██▊       | 2774/10000 [5:33:15<22:51:16, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0859801769256592, dino_loss: 0.6953125, depth_loss: 0.07553121447563171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592654466629028, dino_loss: 0.65234375, depth_loss: 0.052707016468048096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2775/10000 [5:33:27<22:46:33, 11.35s/it]
                                                         
{'loss': 1.7109, 'grad_norm': 3.486140251159668, 'learning_rate': 4.325248770994741e-05, 'epoch': 0.02}

 28%|██▊       | 2775/10000 [5:33:27<22:46:33, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8485244512557983, dino_loss: 0.6328125, depth_loss: 0.06341385096311569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.800728976726532, dino_loss: 0.71484375, depth_loss: 0.05340883880853653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2776/10000 [5:33:38<22:58:46, 11.45s/it]
                                                         
{'loss': 1.557, 'grad_norm': 2.433651924133301, 'learning_rate': 4.324683729472188e-05, 'epoch': 0.02}

 28%|██▊       | 2776/10000 [5:33:38<22:58:46, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0977542400360107, dino_loss: 0.75, depth_loss: 0.04799202084541321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9467390179634094, dino_loss: 0.73046875, depth_loss: 0.08577962219715118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2777/10000 [5:33:49<22:39:41, 11.29s/it]
                                                         
{'loss': 1.8294, 'grad_norm': 3.214914560317993, 'learning_rate': 4.324118488404965e-05, 'epoch': 0.02}

 28%|██▊       | 2777/10000 [5:33:49<22:39:41, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9582022428512573, dino_loss: 0.6875, depth_loss: 0.06682568043470383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9321455955505371, dino_loss: 0.73828125, depth_loss: 0.07270075380802155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2778/10000 [5:34:00<22:34:31, 11.25s/it]
                                                         
{'loss': 1.7279, 'grad_norm': 3.7471632957458496, 'learning_rate': 4.323553047854887e-05, 'epoch': 0.02}

 28%|██▊       | 2778/10000 [5:34:00<22:34:31, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6584490537643433, dino_loss: 0.5625, depth_loss: 0.036569803953170776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9889419078826904, dino_loss: 0.65625, depth_loss: 0.05674513056874275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2779/10000 [5:34:12<22:45:00, 11.34s/it]
                                                         
{'loss': 1.4804, 'grad_norm': 2.7553870677948, 'learning_rate': 4.322987407883788e-05, 'epoch': 0.02}

 28%|██▊       | 2779/10000 [5:34:12<22:45:00, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1134693622589111, dino_loss: 0.6953125, depth_loss: 0.05452953651547432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9522594809532166, dino_loss: 0.703125, depth_loss: 0.07028400897979736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2780/10000 [5:34:23<22:43:40, 11.33s/it]
                                                         
{'loss': 1.7945, 'grad_norm': 6.898322582244873, 'learning_rate': 4.3224215685535294e-05, 'epoch': 0.03}

 28%|██▊       | 2780/10000 [5:34:23<22:43:40, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8684702515602112, dino_loss: 0.67578125, depth_loss: 0.055646661669015884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9943580627441406, dino_loss: 0.70703125, depth_loss: 0.07070934772491455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2781/10000 [5:34:35<22:48:53, 11.38s/it]
                                                         
{'loss': 1.6862, 'grad_norm': 3.224142551422119, 'learning_rate': 4.321855529925987e-05, 'epoch': 0.03}

 28%|██▊       | 2781/10000 [5:34:35<22:48:53, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9498428702354431, dino_loss: 0.6875, depth_loss: 0.06092409789562225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9609565138816833, dino_loss: 0.73828125, depth_loss: 0.06359890103340149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2782/10000 [5:34:46<22:33:11, 11.25s/it]
                                                         
{'loss': 1.7307, 'grad_norm': 2.4588396549224854, 'learning_rate': 4.321289292063062e-05, 'epoch': 0.03}

 28%|██▊       | 2782/10000 [5:34:46<22:33:11, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0339285135269165, dino_loss: 0.6953125, depth_loss: 0.0520222932100296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9953688383102417, dino_loss: 0.69921875, depth_loss: 0.06913941353559494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2783/10000 [5:34:57<22:21:46, 11.16s/it]
                                                         
{'loss': 1.7726, 'grad_norm': 1.9574995040893555, 'learning_rate': 4.32072285502668e-05, 'epoch': 0.03}

 28%|██▊       | 2783/10000 [5:34:57<22:21:46, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0245354175567627, dino_loss: 0.71875, depth_loss: 0.07968277484178543, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8666252493858337, dino_loss: 0.69140625, depth_loss: 0.04642365127801895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2784/10000 [5:35:08<22:40:44, 11.31s/it]
                                                         
{'loss': 1.7139, 'grad_norm': 1.9089206457138062, 'learning_rate': 4.320156218878783e-05, 'epoch': 0.03}

 28%|██▊       | 2784/10000 [5:35:08<22:40:44, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9029581546783447, dino_loss: 0.72265625, depth_loss: 0.073353610932827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1217195987701416, dino_loss: 0.67578125, depth_loss: 0.05314228683710098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2785/10000 [5:35:19<22:16:04, 11.11s/it]
                                                         
{'loss': 1.7749, 'grad_norm': 3.5203473567962646, 'learning_rate': 4.319589383681338e-05, 'epoch': 0.03}

 28%|██▊       | 2785/10000 [5:35:19<22:16:04, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8201028108596802, dino_loss: 0.72265625, depth_loss: 0.049171775579452515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.802022397518158, dino_loss: 0.6484375, depth_loss: 0.05751558393239975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2786/10000 [5:35:30<22:23:00, 11.17s/it]
                                                         
{'loss': 1.5501, 'grad_norm': 2.8343000411987305, 'learning_rate': 4.3190223494963345e-05, 'epoch': 0.03}

 28%|██▊       | 2786/10000 [5:35:30<22:23:00, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0873860120773315, dino_loss: 0.7578125, depth_loss: 0.05756175145506859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9009182453155518, dino_loss: 0.69140625, depth_loss: 0.05909071862697601, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2787/10000 [5:35:42<22:29:24, 11.22s/it]
                                                         
{'loss': 1.7772, 'grad_norm': 3.569687604904175, 'learning_rate': 4.318455116385781e-05, 'epoch': 0.03}

 28%|██▊       | 2787/10000 [5:35:42<22:29:24, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.940271258354187, dino_loss: 0.6640625, depth_loss: 0.07346903532743454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9160863757133484, dino_loss: 0.65234375, depth_loss: 0.05640845745801926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2788/10000 [5:35:52<22:15:30, 11.11s/it]
                                                         
{'loss': 1.6515, 'grad_norm': 2.116938352584839, 'learning_rate': 4.31788768441171e-05, 'epoch': 0.03}

 28%|██▊       | 2788/10000 [5:35:52<22:15:30, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8796641826629639, dino_loss: 0.671875, depth_loss: 0.04341689497232437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8012832403182983, dino_loss: 0.66796875, depth_loss: 0.05465664714574814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2789/10000 [5:36:04<22:38:07, 11.30s/it]
                                                         
{'loss': 1.5595, 'grad_norm': 1.9424132108688354, 'learning_rate': 4.3173200536361756e-05, 'epoch': 0.03}

 28%|██▊       | 2789/10000 [5:36:04<22:38:07, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8853644132614136, dino_loss: 0.71484375, depth_loss: 0.059313248842954636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9372479915618896, dino_loss: 0.73828125, depth_loss: 0.0831259936094284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2790/10000 [5:36:15<22:35:41, 11.28s/it]
                                                         
{'loss': 1.7091, 'grad_norm': 6.397557735443115, 'learning_rate': 4.316752224121252e-05, 'epoch': 0.03}

 28%|██▊       | 2790/10000 [5:36:15<22:35:41, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9536391496658325, dino_loss: 0.703125, depth_loss: 0.059956833720207214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9045525789260864, dino_loss: 0.71875, depth_loss: 0.05760282278060913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2791/10000 [5:36:27<22:33:27, 11.26s/it]
                                                         
{'loss': 1.6989, 'grad_norm': 3.2052409648895264, 'learning_rate': 4.316184195929037e-05, 'epoch': 0.03}

 28%|██▊       | 2791/10000 [5:36:27<22:33:27, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9836076498031616, dino_loss: 0.6640625, depth_loss: 0.052074555307626724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8351649045944214, dino_loss: 0.6796875, depth_loss: 0.05938928574323654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2792/10000 [5:36:38<22:19:09, 11.15s/it]
                                                         
{'loss': 1.6372, 'grad_norm': 1.3720148801803589, 'learning_rate': 4.315615969121649e-05, 'epoch': 0.03}

 28%|██▊       | 2792/10000 [5:36:38<22:19:09, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8455685973167419, dino_loss: 0.69921875, depth_loss: 0.06341896951198578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0129125118255615, dino_loss: 0.76953125, depth_loss: 0.06788657605648041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2793/10000 [5:36:49<22:24:54, 11.20s/it]
                                                         
{'loss': 1.7294, 'grad_norm': 4.857582092285156, 'learning_rate': 4.3150475437612286e-05, 'epoch': 0.03}

 28%|██▊       | 2793/10000 [5:36:49<22:24:54, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8789840936660767, dino_loss: 0.71484375, depth_loss: 0.06969843804836273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0220754146575928, dino_loss: 0.73046875, depth_loss: 0.06810232251882553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2794/10000 [5:37:00<22:08:54, 11.06s/it]
                                                         
{'loss': 1.7422, 'grad_norm': 2.0058066844940186, 'learning_rate': 4.3144789199099374e-05, 'epoch': 0.03}

 28%|██▊       | 2794/10000 [5:37:00<22:08:54, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9093626737594604, dino_loss: 0.69921875, depth_loss: 0.056283868849277496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9257563352584839, dino_loss: 0.72265625, depth_loss: 0.06709765642881393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2795/10000 [5:37:11<22:10:57, 11.08s/it]
                                                         
{'loss': 1.6902, 'grad_norm': 2.088116407394409, 'learning_rate': 4.313910097629959e-05, 'epoch': 0.03}

 28%|██▊       | 2795/10000 [5:37:11<22:10:57, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9887892007827759, dino_loss: 0.6640625, depth_loss: 0.06175503879785538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0512330532073975, dino_loss: 0.76953125, depth_loss: 0.06987664103507996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2796/10000 [5:37:22<22:17:28, 11.14s/it]
                                                         
{'loss': 1.8027, 'grad_norm': 2.153123617172241, 'learning_rate': 4.3133410769835005e-05, 'epoch': 0.03}

 28%|██▊       | 2796/10000 [5:37:22<22:17:28, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9987691640853882, dino_loss: 0.6640625, depth_loss: 0.07521888613700867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9011809229850769, dino_loss: 0.6953125, depth_loss: 0.06970668584108353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2797/10000 [5:37:33<22:08:47, 11.07s/it]
                                                         
{'loss': 1.7022, 'grad_norm': 2.83589243888855, 'learning_rate': 4.312771858032787e-05, 'epoch': 0.03}

 28%|██▊       | 2797/10000 [5:37:33<22:08:47, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9564840197563171, dino_loss: 0.67578125, depth_loss: 0.06023523584008217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0212793350219727, dino_loss: 0.76171875, depth_loss: 0.0628228560090065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2798/10000 [5:37:44<22:05:29, 11.04s/it]
                                                         
{'loss': 1.7693, 'grad_norm': 2.9059572219848633, 'learning_rate': 4.3122024408400693e-05, 'epoch': 0.03}

 28%|██▊       | 2798/10000 [5:37:44<22:05:29, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1251405477523804, dino_loss: 0.734375, depth_loss: 0.07326162606477737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.090801477432251, dino_loss: 0.73046875, depth_loss: 0.09271086007356644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2799/10000 [5:37:55<21:58:15, 10.98s/it]
                                                         
{'loss': 1.9235, 'grad_norm': 3.4941680431365967, 'learning_rate': 4.311632825467617e-05, 'epoch': 0.03}

 28%|██▊       | 2799/10000 [5:37:55<21:58:15, 10.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9426146149635315, dino_loss: 0.6796875, depth_loss: 0.05219006538391113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8952319622039795, dino_loss: 0.6328125, depth_loss: 0.057088837027549744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2800/10000 [5:38:06<21:59:15, 10.99s/it]
                                                         
{'loss': 1.6299, 'grad_norm': 2.2177064418792725, 'learning_rate': 4.311063011977723e-05, 'epoch': 0.03}

 28%|██▊       | 2800/10000 [5:38:06<21:59:15, 10.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9684618711471558, dino_loss: 0.73046875, depth_loss: 0.0694231167435646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.4281377792358398, dino_loss: 0.6875, depth_loss: 0.060551438480615616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2801/10000 [5:38:17<22:08:17, 11.07s/it]
                                                         
{'loss': 1.9723, 'grad_norm': 5.249582290649414, 'learning_rate': 4.310493000432701e-05, 'epoch': 0.03}

 28%|██▊       | 2801/10000 [5:38:17<22:08:17, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1567285060882568, dino_loss: 0.73046875, depth_loss: 0.059738993644714355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9309974312782288, dino_loss: 0.7265625, depth_loss: 0.07679878920316696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2802/10000 [5:38:28<22:08:39, 11.08s/it]
                                                         
{'loss': 1.8407, 'grad_norm': 2.8511924743652344, 'learning_rate': 4.309922790894885e-05, 'epoch': 0.03}

 28%|██▊       | 2802/10000 [5:38:28<22:08:39, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0726679563522339, dino_loss: 0.69921875, depth_loss: 0.06765801459550858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8375842571258545, dino_loss: 0.703125, depth_loss: 0.05527602508664131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2803/10000 [5:38:39<22:08:18, 11.07s/it]
                                                         
{'loss': 1.7178, 'grad_norm': 2.8121001720428467, 'learning_rate': 4.309352383426635e-05, 'epoch': 0.03}

 28%|██▊       | 2803/10000 [5:38:39<22:08:18, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9846235513687134, dino_loss: 0.734375, depth_loss: 0.06606319546699524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9292700290679932, dino_loss: 0.71875, depth_loss: 0.07015383243560791, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2804/10000 [5:38:50<21:52:29, 10.94s/it]
                                                         
{'loss': 1.7517, 'grad_norm': 2.1476047039031982, 'learning_rate': 4.308781778090329e-05, 'epoch': 0.03}

 28%|██▊       | 2804/10000 [5:38:50<21:52:29, 10.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9518665075302124, dino_loss: 0.70703125, depth_loss: 0.07536157965660095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8673737049102783, dino_loss: 0.68359375, depth_loss: 0.06150785833597183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2805/10000 [5:39:01<21:55:23, 10.97s/it]
                                                         
{'loss': 1.6734, 'grad_norm': 3.5551021099090576, 'learning_rate': 4.308210974948367e-05, 'epoch': 0.03}

 28%|██▊       | 2805/10000 [5:39:01<21:55:23, 10.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9117581844329834, dino_loss: 0.70703125, depth_loss: 0.06388147175312042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.047569990158081, dino_loss: 0.7109375, depth_loss: 0.06127524375915527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2806/10000 [5:39:12<22:06:31, 11.06s/it]
                                                         
{'loss': 1.7513, 'grad_norm': 2.1763803958892822, 'learning_rate': 4.3076399740631715e-05, 'epoch': 0.03}

 28%|██▊       | 2806/10000 [5:39:12<22:06:31, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9706307053565979, dino_loss: 0.69140625, depth_loss: 0.05463048070669174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0358681678771973, dino_loss: 0.7109375, depth_loss: 0.06982911378145218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2807/10000 [5:39:23<22:10:22, 11.10s/it]
                                                         
{'loss': 1.7667, 'grad_norm': 3.0512073040008545, 'learning_rate': 4.307068775497185e-05, 'epoch': 0.03}

 28%|██▊       | 2807/10000 [5:39:23<22:10:22, 11.10s/it]the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8020069599151611, dino_loss: 0.671875, depth_loss: 0.062094107270240784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9381240606307983, dino_loss: 0.765625, depth_loss: 0.08071281760931015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2808/10000 [5:39:34<22:12:36, 11.12s/it]
                                                         
{'loss': 1.6603, 'grad_norm': 1.4659092426300049, 'learning_rate': 4.306497379312875e-05, 'epoch': 0.03}

 28%|██▊       | 2808/10000 [5:39:34<22:12:36, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8485269546508789, dino_loss: 0.71875, depth_loss: 0.05964843928813934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0606180429458618, dino_loss: 0.72265625, depth_loss: 0.06902126222848892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2809/10000 [5:39:46<22:25:28, 11.23s/it]
                                                         
{'loss': 1.7397, 'grad_norm': 6.663466930389404, 'learning_rate': 4.305925785572728e-05, 'epoch': 0.03}

 28%|██▊       | 2809/10000 [5:39:46<22:25:28, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0425795316696167, dino_loss: 0.76171875, depth_loss: 0.06329705566167831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.6133244633674622, dino_loss: 0.7734375, depth_loss: 0.06449518352746964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2810/10000 [5:39:58<22:47:42, 11.41s/it]
                                                         
{'loss': 1.6595, 'grad_norm': 2.738049030303955, 'learning_rate': 4.305353994339252e-05, 'epoch': 0.03}

 28%|██▊       | 2810/10000 [5:39:58<22:47:42, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0186543464660645, dino_loss: 0.68359375, depth_loss: 0.06095600128173828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8207151889801025, dino_loss: 0.68359375, depth_loss: 0.06531059741973877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2811/10000 [5:40:09<22:49:16, 11.43s/it]
                                                         
{'loss': 1.6664, 'grad_norm': 3.4130520820617676, 'learning_rate': 4.3047820056749764e-05, 'epoch': 0.03}

 28%|██▊       | 2811/10000 [5:40:09<22:49:16, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8526964783668518, dino_loss: 0.70703125, depth_loss: 0.060518987476825714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8839462399482727, dino_loss: 0.70703125, depth_loss: 0.050446778535842896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2812/10000 [5:40:20<22:29:51, 11.27s/it]
                                                         
{'loss': 1.6309, 'grad_norm': 2.26273775100708, 'learning_rate': 4.304209819642455e-05, 'epoch': 0.03}

 28%|██▊       | 2812/10000 [5:40:20<22:29:51, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7350611686706543, dino_loss: 0.6640625, depth_loss: 0.05119495093822479, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8386828899383545, dino_loss: 0.6953125, depth_loss: 0.0711524561047554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2813/10000 [5:40:31<22:21:28, 11.20s/it]
                                                         
{'loss': 1.5278, 'grad_norm': 2.139875650405884, 'learning_rate': 4.3036374363042606e-05, 'epoch': 0.03}

 28%|██▊       | 2813/10000 [5:40:31<22:21:28, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0750195980072021, dino_loss: 0.66796875, depth_loss: 0.06318462640047073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.810775101184845, dino_loss: 0.66796875, depth_loss: 0.0731024295091629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2814/10000 [5:40:42<22:16:13, 11.16s/it]
                                                         
{'loss': 1.679, 'grad_norm': 2.195096731185913, 'learning_rate': 4.303064855722988e-05, 'epoch': 0.03}

 28%|██▊       | 2814/10000 [5:40:42<22:16:13, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8202922344207764, dino_loss: 0.68359375, depth_loss: 0.06034916639328003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9892541766166687, dino_loss: 0.72265625, depth_loss: 0.06254726648330688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2815/10000 [5:40:53<22:12:02, 11.12s/it]
                                                         
{'loss': 1.6694, 'grad_norm': 1.9827836751937866, 'learning_rate': 4.302492077961253e-05, 'epoch': 0.03}

 28%|██▊       | 2815/10000 [5:40:53<22:12:02, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8878840208053589, dino_loss: 0.71875, depth_loss: 0.062404386699199677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8849858641624451, dino_loss: 0.69140625, depth_loss: 0.0627562403678894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2816/10000 [5:41:04<22:05:01, 11.07s/it]
                                                         
{'loss': 1.6541, 'grad_norm': 1.255738615989685, 'learning_rate': 4.3019191030816954e-05, 'epoch': 0.03}

 28%|██▊       | 2816/10000 [5:41:04<22:05:01, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9235467314720154, dino_loss: 0.6640625, depth_loss: 0.0705222487449646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9564266204833984, dino_loss: 0.71875, depth_loss: 0.07381244003772736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2817/10000 [5:41:15<22:02:33, 11.05s/it]
                                                         
{'loss': 1.7036, 'grad_norm': 6.214998245239258, 'learning_rate': 4.301345931146973e-05, 'epoch': 0.03}

 28%|██▊       | 2817/10000 [5:41:15<22:02:33, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8044271469116211, dino_loss: 0.71484375, depth_loss: 0.06353726238012314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9444501399993896, dino_loss: 0.6875, depth_loss: 0.059156931936740875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2818/10000 [5:41:27<22:14:35, 11.15s/it]
                                                         
{'loss': 1.637, 'grad_norm': 3.0498509407043457, 'learning_rate': 4.3007725622197674e-05, 'epoch': 0.03}

 28%|██▊       | 2818/10000 [5:41:27<22:14:35, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0381059646606445, dino_loss: 0.65625, depth_loss: 0.08424258232116699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9658086895942688, dino_loss: 0.73046875, depth_loss: 0.0748118907213211, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2819/10000 [5:41:38<22:16:47, 11.17s/it]
                                                         
{'loss': 1.7749, 'grad_norm': 1.7197359800338745, 'learning_rate': 4.300198996362783e-05, 'epoch': 0.03}

 28%|██▊       | 2819/10000 [5:41:38<22:16:47, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8395480513572693, dino_loss: 0.6953125, depth_loss: 0.06615403294563293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9953231811523438, dino_loss: 0.73828125, depth_loss: 0.06528941541910172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2820/10000 [5:41:49<22:25:39, 11.25s/it]
                                                         
{'loss': 1.7, 'grad_norm': 2.155181407928467, 'learning_rate': 4.2996252336387414e-05, 'epoch': 0.03}

 28%|██▊       | 2820/10000 [5:41:49<22:25:39, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9417843818664551, dino_loss: 0.71875, depth_loss: 0.07366161793470383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9006712436676025, dino_loss: 0.75, depth_loss: 0.05524027347564697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2821/10000 [5:42:01<22:28:42, 11.27s/it]
                                                         
{'loss': 1.7201, 'grad_norm': 2.1593902111053467, 'learning_rate': 4.299051274110391e-05, 'epoch': 0.03}

 28%|██▊       | 2821/10000 [5:42:01<22:28:42, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8435606956481934, dino_loss: 0.68359375, depth_loss: 0.0707898736000061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7559940814971924, dino_loss: 0.72265625, depth_loss: 0.06227980554103851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2822/10000 [5:42:12<22:18:54, 11.19s/it]
                                                         
{'loss': 1.5695, 'grad_norm': 2.8470888137817383, 'learning_rate': 4.298477117840498e-05, 'epoch': 0.03}

 28%|██▊       | 2822/10000 [5:42:12<22:18:54, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8155747056007385, dino_loss: 0.71875, depth_loss: 0.07153058052062988, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9300172924995422, dino_loss: 0.65234375, depth_loss: 0.062102220952510834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2823/10000 [5:42:23<22:22:29, 11.22s/it]
                                                         
{'loss': 1.6252, 'grad_norm': 2.1279685497283936, 'learning_rate': 4.297902764891851e-05, 'epoch': 0.03}

 28%|██▊       | 2823/10000 [5:42:23<22:22:29, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.977962851524353, dino_loss: 0.7109375, depth_loss: 0.07181122899055481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9355649948120117, dino_loss: 0.66796875, depth_loss: 0.06935600191354752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2824/10000 [5:42:34<22:17:41, 11.18s/it]
                                                         
{'loss': 1.7168, 'grad_norm': 2.616342306137085, 'learning_rate': 4.297328215327261e-05, 'epoch': 0.03}

 28%|██▊       | 2824/10000 [5:42:34<22:17:41, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8257273435592651, dino_loss: 0.703125, depth_loss: 0.05180465430021286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8772735595703125, dino_loss: 0.65625, depth_loss: 0.055809926241636276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2825/10000 [5:42:46<22:44:24, 11.41s/it]
                                                         
{'loss': 1.585, 'grad_norm': 2.5890161991119385, 'learning_rate': 4.29675346920956e-05, 'epoch': 0.03}

 28%|██▊       | 2825/10000 [5:42:46<22:44:24, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.882609486579895, dino_loss: 0.6640625, depth_loss: 0.05735790729522705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9767453670501709, dino_loss: 0.68359375, depth_loss: 0.08134477585554123, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2826/10000 [5:42:57<22:34:48, 11.33s/it]
                                                         
{'loss': 1.6729, 'grad_norm': 1.4861223697662354, 'learning_rate': 4.296178526601601e-05, 'epoch': 0.03}

 28%|██▊       | 2826/10000 [5:42:57<22:34:48, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8613803386688232, dino_loss: 0.68359375, depth_loss: 0.08066432923078537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8488487601280212, dino_loss: 0.70703125, depth_loss: 0.05848255008459091, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2827/10000 [5:43:08<22:38:06, 11.36s/it]
                                                         
{'loss': 1.62, 'grad_norm': 4.568517684936523, 'learning_rate': 4.295603387566258e-05, 'epoch': 0.03}

 28%|██▊       | 2827/10000 [5:43:09<22:38:06, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.045182704925537, dino_loss: 0.734375, depth_loss: 0.06813099980354309, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8172927498817444, dino_loss: 0.6796875, depth_loss: 0.05313190817832947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2828/10000 [5:43:20<22:39:41, 11.38s/it]
                                                         
{'loss': 1.6989, 'grad_norm': 3.3383116722106934, 'learning_rate': 4.295028052166429e-05, 'epoch': 0.03}

 28%|██▊       | 2828/10000 [5:43:20<22:39:41, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9425678253173828, dino_loss: 0.74609375, depth_loss: 0.06927384436130524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.865755558013916, dino_loss: 0.671875, depth_loss: 0.061864715069532394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2829/10000 [5:43:31<22:29:45, 11.29s/it]
                                                         
{'loss': 1.6787, 'grad_norm': 1.8614529371261597, 'learning_rate': 4.2944525204650306e-05, 'epoch': 0.03}

 28%|██▊       | 2829/10000 [5:43:31<22:29:45, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0088680982589722, dino_loss: 0.7265625, depth_loss: 0.05304481461644173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9195452332496643, dino_loss: 0.703125, depth_loss: 0.055777352303266525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2830/10000 [5:43:42<22:13:25, 11.16s/it]
                                                         
{'loss': 1.7335, 'grad_norm': 2.4682905673980713, 'learning_rate': 4.293876792525002e-05, 'epoch': 0.03}

 28%|██▊       | 2830/10000 [5:43:42<22:13:25, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7676763534545898, dino_loss: 0.62890625, depth_loss: 0.05677173659205437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8936212062835693, dino_loss: 0.74609375, depth_loss: 0.0813210979104042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2831/10000 [5:43:53<22:13:14, 11.16s/it]
                                                         
{'loss': 1.5872, 'grad_norm': 2.2520463466644287, 'learning_rate': 4.2933008684093054e-05, 'epoch': 0.03}

 28%|██▊       | 2831/10000 [5:43:53<22:13:14, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8273313045501709, dino_loss: 0.66796875, depth_loss: 0.045833975076675415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9738709926605225, dino_loss: 0.6875, depth_loss: 0.06081736460328102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2832/10000 [5:44:04<22:05:33, 11.10s/it]
                                                         
{'loss': 1.6317, 'grad_norm': 1.3687363862991333, 'learning_rate': 4.292724748180921e-05, 'epoch': 0.03}

 28%|██▊       | 2832/10000 [5:44:04<22:05:33, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.883102297782898, dino_loss: 0.7421875, depth_loss: 0.06140200421214104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8857806324958801, dino_loss: 0.63671875, depth_loss: 0.05235838145017624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2833/10000 [5:44:15<21:56:29, 11.02s/it]
                                                         
{'loss': 1.6309, 'grad_norm': 6.998400688171387, 'learning_rate': 4.2921484319028544e-05, 'epoch': 0.03}

 28%|██▊       | 2833/10000 [5:44:15<21:56:29, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9889948964118958, dino_loss: 0.71484375, depth_loss: 0.058619193732738495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9035460352897644, dino_loss: 0.69140625, depth_loss: 0.05961166322231293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2834/10000 [5:44:26<21:58:13, 11.04s/it]
                                                         
{'loss': 1.7085, 'grad_norm': 2.5757572650909424, 'learning_rate': 4.2915719196381294e-05, 'epoch': 0.03}

 28%|██▊       | 2834/10000 [5:44:26<21:58:13, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9127614498138428, dino_loss: 0.72265625, depth_loss: 0.08017337322235107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.020292043685913, dino_loss: 0.7734375, depth_loss: 0.055272176861763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2835/10000 [5:44:37<22:11:58, 11.15s/it]
                                                         
{'loss': 1.7827, 'grad_norm': 2.0726234912872314, 'learning_rate': 4.2909952114497925e-05, 'epoch': 0.03}

 28%|██▊       | 2835/10000 [5:44:37<22:11:58, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9608209133148193, dino_loss: 0.7265625, depth_loss: 0.0660848617553711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.964537501335144, dino_loss: 0.71875, depth_loss: 0.06283733248710632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2836/10000 [5:44:48<22:11:02, 11.15s/it]
                                                         
{'loss': 1.7499, 'grad_norm': 1.6734914779663086, 'learning_rate': 4.290418307400913e-05, 'epoch': 0.03}

 28%|██▊       | 2836/10000 [5:44:48<22:11:02, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0292977094650269, dino_loss: 0.68359375, depth_loss: 0.05146659538149834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9513356685638428, dino_loss: 0.69921875, depth_loss: 0.06672917306423187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2837/10000 [5:45:00<22:09:17, 11.13s/it]
                                                         
{'loss': 1.7409, 'grad_norm': 3.4946744441986084, 'learning_rate': 4.289841207554578e-05, 'epoch': 0.03}

 28%|██▊       | 2837/10000 [5:45:00<22:09:17, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8894600868225098, dino_loss: 0.68359375, depth_loss: 0.06471887975931168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9101496934890747, dino_loss: 0.74609375, depth_loss: 0.06971631944179535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2838/10000 [5:45:11<22:13:04, 11.17s/it]
                                                         
{'loss': 1.6819, 'grad_norm': 2.5932159423828125, 'learning_rate': 4.2892639119739e-05, 'epoch': 0.03}

 28%|██▊       | 2838/10000 [5:45:11<22:13:04, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0558552742004395, dino_loss: 0.765625, depth_loss: 0.055552490055561066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.065305233001709, dino_loss: 0.71875, depth_loss: 0.05852281674742699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2839/10000 [5:45:22<22:27:26, 11.29s/it]
                                                         
{'loss': 1.86, 'grad_norm': 3.5279123783111572, 'learning_rate': 4.288686420722011e-05, 'epoch': 0.03}

 28%|██▊       | 2839/10000 [5:45:22<22:27:26, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9085844159126282, dino_loss: 0.7109375, depth_loss: 0.07274822890758514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.891638994216919, dino_loss: 0.796875, depth_loss: 0.05920468270778656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2840/10000 [5:45:33<22:07:47, 11.13s/it]
                                                         
{'loss': 1.72, 'grad_norm': 3.061887264251709, 'learning_rate': 4.288108733862064e-05, 'epoch': 0.03}

 28%|██▊       | 2840/10000 [5:45:33<22:07:47, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9918606281280518, dino_loss: 0.6953125, depth_loss: 0.05921969190239906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8971420526504517, dino_loss: 0.69921875, depth_loss: 0.0628785789012909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2841/10000 [5:45:44<22:12:33, 11.17s/it]
                                                         
{'loss': 1.7031, 'grad_norm': 2.246880054473877, 'learning_rate': 4.287530851457234e-05, 'epoch': 0.03}

 28%|██▊       | 2841/10000 [5:45:44<22:12:33, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1109508275985718, dino_loss: 0.73046875, depth_loss: 0.09386814385652542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9305074214935303, dino_loss: 0.6875, depth_loss: 0.060207121074199677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2842/10000 [5:45:55<22:09:50, 11.15s/it]
                                                         
{'loss': 1.8068, 'grad_norm': 2.1920242309570312, 'learning_rate': 4.2869527735707184e-05, 'epoch': 0.03}

 28%|██▊       | 2842/10000 [5:45:55<22:09:50, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7867852449417114, dino_loss: 0.640625, depth_loss: 0.05911679565906525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8215427994728088, dino_loss: 0.65234375, depth_loss: 0.05092812329530716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2843/10000 [5:46:07<22:30:37, 11.32s/it]
                                                         
{'loss': 1.5058, 'grad_norm': 1.857616901397705, 'learning_rate': 4.286374500265734e-05, 'epoch': 0.03}

 28%|██▊       | 2843/10000 [5:46:07<22:30:37, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8275306224822998, dino_loss: 0.75, depth_loss: 0.07886433601379395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.019536018371582, dino_loss: 0.65234375, depth_loss: 0.05876537784934044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2844/10000 [5:46:19<22:36:06, 11.37s/it]
                                                         
{'loss': 1.6936, 'grad_norm': 6.513493061065674, 'learning_rate': 4.285796031605519e-05, 'epoch': 0.03}

 28%|██▊       | 2844/10000 [5:46:19<22:36:06, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0672743320465088, dino_loss: 0.71875, depth_loss: 0.06035254895687103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.965916633605957, dino_loss: 0.6640625, depth_loss: 0.05356702208518982, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2845/10000 [5:46:30<22:35:12, 11.36s/it]
                                                         
{'loss': 1.765, 'grad_norm': 2.9064321517944336, 'learning_rate': 4.2852173676533356e-05, 'epoch': 0.03}

 28%|██▊       | 2845/10000 [5:46:30<22:35:12, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8383458852767944, dino_loss: 0.68359375, depth_loss: 0.08376149833202362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8842481970787048, dino_loss: 0.71875, depth_loss: 0.05576465278863907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2846/10000 [5:46:42<22:46:25, 11.46s/it]
                                                         
{'loss': 1.6323, 'grad_norm': 2.111734390258789, 'learning_rate': 4.284638508472465e-05, 'epoch': 0.03}

 28%|██▊       | 2846/10000 [5:46:42<22:46:25, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9917842745780945, dino_loss: 0.73046875, depth_loss: 0.09492133557796478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0085182189941406, dino_loss: 0.72265625, depth_loss: 0.06542395800352097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2847/10000 [5:46:53<22:35:01, 11.37s/it]
                                                         
{'loss': 1.807, 'grad_norm': 2.9215869903564453, 'learning_rate': 4.2840594541262105e-05, 'epoch': 0.03}

 28%|██▊       | 2847/10000 [5:46:53<22:35:01, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9703701734542847, dino_loss: 0.73828125, depth_loss: 0.06521421670913696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9696484804153442, dino_loss: 0.734375, depth_loss: 0.05176413804292679, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2848/10000 [5:47:04<22:22:42, 11.26s/it]
                                                         
{'loss': 1.7649, 'grad_norm': 3.4544436931610107, 'learning_rate': 4.283480204677896e-05, 'epoch': 0.03}

 28%|██▊       | 2848/10000 [5:47:04<22:22:42, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8871673345565796, dino_loss: 0.671875, depth_loss: 0.07184644788503647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8897484540939331, dino_loss: 0.6796875, depth_loss: 0.056560080498456955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2849/10000 [5:47:15<22:25:39, 11.29s/it]
                                                         
{'loss': 1.6285, 'grad_norm': 1.9434356689453125, 'learning_rate': 4.282900760190868e-05, 'epoch': 0.03}

 28%|██▊       | 2849/10000 [5:47:15<22:25:39, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.010375738143921, dino_loss: 0.71484375, depth_loss: 0.05640929564833641, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.071878433227539, dino_loss: 0.76953125, depth_loss: 0.07772734761238098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 28%|██▊       | 2850/10000 [5:47:26<22:21:40, 11.26s/it]
                                                         
{'loss': 1.8504, 'grad_norm': 1.6531994342803955, 'learning_rate': 4.282321120728493e-05, 'epoch': 0.03}

 28%|██▊       | 2850/10000 [5:47:26<22:21:40, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9092409610748291, dino_loss: 0.71875, depth_loss: 0.07370263338088989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8226370811462402, dino_loss: 0.69921875, depth_loss: 0.05737989395856857, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2851/10000 [5:47:38<22:31:03, 11.34s/it]
                                                         
{'loss': 1.6405, 'grad_norm': 1.763904333114624, 'learning_rate': 4.28174128635416e-05, 'epoch': 0.03}

 29%|██▊       | 2851/10000 [5:47:38<22:31:03, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8311561942100525, dino_loss: 0.734375, depth_loss: 0.05811779573559761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.7140634655952454, dino_loss: 0.73828125, depth_loss: 0.07586687058210373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2852/10000 [5:47:49<22:28:53, 11.32s/it]
                                                         
{'loss': 1.576, 'grad_norm': 2.101077079772949, 'learning_rate': 4.281161257131279e-05, 'epoch': 0.03}

 29%|██▊       | 2852/10000 [5:47:49<22:28:53, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8933357000350952, dino_loss: 0.6796875, depth_loss: 0.07034379988908768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1176031827926636, dino_loss: 0.67578125, depth_loss: 0.06492797285318375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2853/10000 [5:48:00<22:19:59, 11.25s/it]
                                                         
{'loss': 1.7509, 'grad_norm': 2.1988229751586914, 'learning_rate': 4.280581033123281e-05, 'epoch': 0.03}

 29%|██▊       | 2853/10000 [5:48:00<22:19:59, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9363089203834534, dino_loss: 0.76953125, depth_loss: 0.06676081568002701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8742791414260864, dino_loss: 0.6875, depth_loss: 0.06223568320274353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2854/10000 [5:48:12<22:17:43, 11.23s/it]
                                                         
{'loss': 1.6984, 'grad_norm': 1.557451844215393, 'learning_rate': 4.280000614393618e-05, 'epoch': 0.03}

 29%|██▊       | 2854/10000 [5:48:12<22:17:43, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9034910202026367, dino_loss: 0.6640625, depth_loss: 0.06196998059749603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9629577994346619, dino_loss: 0.70703125, depth_loss: 0.06655048578977585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2855/10000 [5:48:23<22:38:36, 11.41s/it]
                                                         
{'loss': 1.6831, 'grad_norm': 4.28115177154541, 'learning_rate': 4.279420001005764e-05, 'epoch': 0.03}

 29%|██▊       | 2855/10000 [5:48:23<22:38:36, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9669438600540161, dino_loss: 0.66796875, depth_loss: 0.08128026127815247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0162763595581055, dino_loss: 0.71875, depth_loss: 0.06131627410650253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2856/10000 [5:48:34<22:14:19, 11.21s/it]
                                                         
{'loss': 1.7563, 'grad_norm': 2.81289005279541, 'learning_rate': 4.278839193023214e-05, 'epoch': 0.03}

 29%|██▊       | 2856/10000 [5:48:34<22:14:19, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9019924998283386, dino_loss: 0.734375, depth_loss: 0.08738446235656738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9039586782455444, dino_loss: 0.6953125, depth_loss: 0.06689608842134476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2857/10000 [5:48:45<22:05:22, 11.13s/it]
                                                         
{'loss': 1.6951, 'grad_norm': 3.147768020629883, 'learning_rate': 4.278258190509484e-05, 'epoch': 0.03}

 29%|██▊       | 2857/10000 [5:48:45<22:05:22, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8395466208457947, dino_loss: 0.74609375, depth_loss: 0.06445949524641037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.8254646062850952, dino_loss: 0.69140625, depth_loss: 0.057720787823200226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2858/10000 [5:48:57<22:21:04, 11.27s/it]
                                                         
{'loss': 1.6124, 'grad_norm': 2.160245180130005, 'learning_rate': 4.277676993528112e-05, 'epoch': 0.03}

 29%|██▊       | 2858/10000 [5:48:57<22:21:04, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8432217836380005, dino_loss: 0.6796875, depth_loss: 0.0572332888841629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9449915289878845, dino_loss: 0.6875, depth_loss: 0.05102667585015297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2859/10000 [5:49:08<22:16:22, 11.23s/it]
                                                         
{'loss': 1.6319, 'grad_norm': 1.4875447750091553, 'learning_rate': 4.2770956021426566e-05, 'epoch': 0.03}

 29%|██▊       | 2859/10000 [5:49:08<22:16:22, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0377826690673828, dino_loss: 0.69921875, depth_loss: 0.057753436267375946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9823521375656128, dino_loss: 0.71484375, depth_loss: 0.06988959014415741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2860/10000 [5:49:18<21:58:08, 11.08s/it]
                                                         
{'loss': 1.781, 'grad_norm': 1.9646713733673096, 'learning_rate': 4.2765140164166984e-05, 'epoch': 0.03}

 29%|██▊       | 2860/10000 [5:49:18<21:58:08, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9314097166061401, dino_loss: 0.734375, depth_loss: 0.05958870053291321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8342994451522827, dino_loss: 0.75390625, depth_loss: 0.06818713247776031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2861/10000 [5:49:30<22:03:48, 11.13s/it]
                                                         
{'loss': 1.691, 'grad_norm': 3.8731870651245117, 'learning_rate': 4.275932236413838e-05, 'epoch': 0.03}

 29%|██▊       | 2861/10000 [5:49:30<22:03:48, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.00693941116333, dino_loss: 0.66015625, depth_loss: 0.058731622993946075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.8538292050361633, dino_loss: 0.65625, depth_loss: 0.0757887065410614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2862/10000 [5:49:41<21:59:05, 11.09s/it]
                                                         
{'loss': 1.6559, 'grad_norm': 2.474118947982788, 'learning_rate': 4.2753502621976986e-05, 'epoch': 0.03}

 29%|██▊       | 2862/10000 [5:49:41<21:59:05, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0369855165481567, dino_loss: 0.67578125, depth_loss: 0.06219657510519028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.813697099685669, dino_loss: 0.73046875, depth_loss: 0.06402526050806046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2863/10000 [5:49:52<21:52:02, 11.03s/it]
                                                         
{'loss': 1.6917, 'grad_norm': 3.105426788330078, 'learning_rate': 4.2747680938319236e-05, 'epoch': 0.03}

 29%|██▊       | 2863/10000 [5:49:52<21:52:02, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9947881698608398, dino_loss: 0.703125, depth_loss: 0.08029154688119888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8294734358787537, dino_loss: 0.671875, depth_loss: 0.050861772149801254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2864/10000 [5:50:03<22:07:40, 11.16s/it]
                                                         
{'loss': 1.6653, 'grad_norm': 3.4391956329345703, 'learning_rate': 4.274185731380178e-05, 'epoch': 0.03}

 29%|██▊       | 2864/10000 [5:50:03<22:07:40, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0217077732086182, dino_loss: 0.68359375, depth_loss: 0.06652171909809113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8740208148956299, dino_loss: 0.67578125, depth_loss: 0.07944823801517487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2865/10000 [5:50:14<21:52:45, 11.04s/it]
                                                         
{'loss': 1.7006, 'grad_norm': 2.4891295433044434, 'learning_rate': 4.273603174906149e-05, 'epoch': 0.03}

 29%|██▊       | 2865/10000 [5:50:14<21:52:45, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6877840757369995, dino_loss: 0.6015625, depth_loss: 0.046488337218761444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9273802042007446, dino_loss: 0.69140625, depth_loss: 0.07275150716304779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2866/10000 [5:50:26<22:22:32, 11.29s/it]
                                                         
{'loss': 1.5138, 'grad_norm': 2.038447380065918, 'learning_rate': 4.273020424473543e-05, 'epoch': 0.03}

 29%|██▊       | 2866/10000 [5:50:26<22:22:32, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9325916171073914, dino_loss: 0.67578125, depth_loss: 0.08085593581199646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8702478408813477, dino_loss: 0.6796875, depth_loss: 0.05240282788872719, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2867/10000 [5:50:37<22:08:08, 11.17s/it]
                                                         
{'loss': 1.6458, 'grad_norm': 2.127440929412842, 'learning_rate': 4.272437480146088e-05, 'epoch': 0.03}

 29%|██▊       | 2867/10000 [5:50:37<22:08:08, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9756922721862793, dino_loss: 0.73828125, depth_loss: 0.06683365255594254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1409084796905518, dino_loss: 0.703125, depth_loss: 0.07676728069782257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2868/10000 [5:50:48<22:04:47, 11.15s/it]
                                                         
{'loss': 1.8509, 'grad_norm': 2.229107141494751, 'learning_rate': 4.2718543419875355e-05, 'epoch': 0.03}

 29%|██▊       | 2868/10000 [5:50:48<22:04:47, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9278777837753296, dino_loss: 0.76171875, depth_loss: 0.06323966383934021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7790710926055908, dino_loss: 0.66015625, depth_loss: 0.05100433528423309, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2869/10000 [5:50:59<22:01:31, 11.12s/it]
                                                         
{'loss': 1.6216, 'grad_norm': 3.9651129245758057, 'learning_rate': 4.271271010061657e-05, 'epoch': 0.03}

 29%|██▊       | 2869/10000 [5:50:59<22:01:31, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8481007814407349, dino_loss: 0.67578125, depth_loss: 0.05928630381822586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.011948585510254, dino_loss: 0.69140625, depth_loss: 0.07523760199546814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2870/10000 [5:51:10<22:22:18, 11.30s/it]
                                                         
{'loss': 1.6809, 'grad_norm': 2.280771017074585, 'learning_rate': 4.270687484432243e-05, 'epoch': 0.03}

 29%|██▊       | 2870/10000 [5:51:10<22:22:18, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9487662315368652, dino_loss: 0.67578125, depth_loss: 0.06468793004751205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9811103343963623, dino_loss: 0.73828125, depth_loss: 0.06911138445138931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2871/10000 [5:51:21<22:08:02, 11.18s/it]
                                                         
{'loss': 1.7389, 'grad_norm': 3.568241596221924, 'learning_rate': 4.2701037651631084e-05, 'epoch': 0.03}

 29%|██▊       | 2871/10000 [5:51:21<22:08:02, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8251140117645264, dino_loss: 0.71875, depth_loss: 0.05598096922039986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0308661460876465, dino_loss: 0.70703125, depth_loss: 0.06558395177125931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2872/10000 [5:51:33<22:15:35, 11.24s/it]
                                                         
{'loss': 1.7017, 'grad_norm': 5.724792957305908, 'learning_rate': 4.2695198523180876e-05, 'epoch': 0.03}

 29%|██▊       | 2872/10000 [5:51:33<22:15:35, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9737762212753296, dino_loss: 0.70703125, depth_loss: 0.06905960291624069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8658615350723267, dino_loss: 0.71484375, depth_loss: 0.04840340092778206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2873/10000 [5:51:44<22:16:20, 11.25s/it]
                                                         
{'loss': 1.6895, 'grad_norm': 5.889983654022217, 'learning_rate': 4.268935745961036e-05, 'epoch': 0.03}

 29%|██▊       | 2873/10000 [5:51:44<22:16:20, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9548628330230713, dino_loss: 0.68359375, depth_loss: 0.06692676991224289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9757614731788635, dino_loss: 0.72265625, depth_loss: 0.06968876719474792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▊       | 2874/10000 [5:51:55<22:12:59, 11.22s/it]
                                                         
{'loss': 1.7368, 'grad_norm': 3.1376609802246094, 'learning_rate': 4.26835144615583e-05, 'epoch': 0.03}

 29%|██▊       | 2874/10000 [5:51:55<22:12:59, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9497419595718384, dino_loss: 0.69140625, depth_loss: 0.06669645756483078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9165502190589905, dino_loss: 0.640625, depth_loss: 0.047751348465681076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2875/10000 [5:52:06<22:12:23, 11.22s/it]
                                                         
{'loss': 1.6564, 'grad_norm': 2.560459613800049, 'learning_rate': 4.267766952966369e-05, 'epoch': 0.03}

 29%|██▉       | 2875/10000 [5:52:06<22:12:23, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0376343727111816, dino_loss: 0.69140625, depth_loss: 0.07490041851997375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0972124338150024, dino_loss: 0.71875, depth_loss: 0.06279623508453369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2876/10000 [5:52:17<21:52:31, 11.05s/it]
                                                         
{'loss': 1.8414, 'grad_norm': 2.318441390991211, 'learning_rate': 4.267182266456572e-05, 'epoch': 0.03}

 29%|██▉       | 2876/10000 [5:52:17<21:52:31, 11.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7410006523132324, dino_loss: 0.6953125, depth_loss: 0.0498112328350544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0211387872695923, dino_loss: 0.703125, depth_loss: 0.06199708580970764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2877/10000 [5:52:28<22:03:40, 11.15s/it]
                                                         
{'loss': 1.6363, 'grad_norm': 2.823701858520508, 'learning_rate': 4.266597386690379e-05, 'epoch': 0.03}

 29%|██▉       | 2877/10000 [5:52:28<22:03:40, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8573289513587952, dino_loss: 0.70703125, depth_loss: 0.06277520209550858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.985781729221344, dino_loss: 0.73046875, depth_loss: 0.07922333478927612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2878/10000 [5:52:40<22:16:23, 11.26s/it]
                                                         
{'loss': 1.7113, 'grad_norm': 1.815056562423706, 'learning_rate': 4.2660123137317523e-05, 'epoch': 0.03}

 29%|██▉       | 2878/10000 [5:52:40<22:16:23, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1110754013061523, dino_loss: 0.75390625, depth_loss: 0.0690632238984108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0796326398849487, dino_loss: 0.72265625, depth_loss: 0.07125957310199738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2879/10000 [5:52:51<22:16:03, 11.26s/it]
                                                         
{'loss': 1.9038, 'grad_norm': 3.78694486618042, 'learning_rate': 4.2654270476446736e-05, 'epoch': 0.03}

 29%|██▉       | 2879/10000 [5:52:51<22:16:03, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9281359910964966, dino_loss: 0.69140625, depth_loss: 0.0681767463684082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8528454303741455, dino_loss: 0.66015625, depth_loss: 0.06265144795179367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2880/10000 [5:53:02<22:13:46, 11.24s/it]
                                                         
{'loss': 1.6318, 'grad_norm': 1.9953619241714478, 'learning_rate': 4.2648415884931476e-05, 'epoch': 0.03}

 29%|██▉       | 2880/10000 [5:53:02<22:13:46, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7846742868423462, dino_loss: 0.640625, depth_loss: 0.055323973298072815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8969379663467407, dino_loss: 0.68359375, depth_loss: 0.054218657314777374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2881/10000 [5:53:14<22:38:32, 11.45s/it]
                                                         
{'loss': 1.5578, 'grad_norm': 3.294437885284424, 'learning_rate': 4.264255936341199e-05, 'epoch': 0.03}

 29%|██▉       | 2881/10000 [5:53:14<22:38:32, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0810871124267578, dino_loss: 0.7109375, depth_loss: 0.053667742758989334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9581448435783386, dino_loss: 0.72265625, depth_loss: 0.08246389031410217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2882/10000 [5:53:26<22:30:27, 11.38s/it]
                                                         
{'loss': 1.8045, 'grad_norm': 2.077552318572998, 'learning_rate': 4.263670091252873e-05, 'epoch': 0.03}

 29%|██▉       | 2882/10000 [5:53:26<22:30:27, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0104568004608154, dino_loss: 0.7421875, depth_loss: 0.05975931137800217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.106567621231079, dino_loss: 0.7109375, depth_loss: 0.06859032064676285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2883/10000 [5:53:36<22:10:01, 11.21s/it]
                                                         
{'loss': 1.8494, 'grad_norm': 2.5097010135650635, 'learning_rate': 4.263084053292238e-05, 'epoch': 0.03}

 29%|██▉       | 2883/10000 [5:53:36<22:10:01, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.207624912261963, dino_loss: 0.71875, depth_loss: 0.08418451994657516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0462058782577515, dino_loss: 0.71484375, depth_loss: 0.055745016783475876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2884/10000 [5:53:48<22:13:37, 11.24s/it]
                                                         
{'loss': 1.9141, 'grad_norm': 9.004868507385254, 'learning_rate': 4.262497822523381e-05, 'epoch': 0.03}

 29%|██▉       | 2884/10000 [5:53:48<22:13:37, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8860644698143005, dino_loss: 0.69921875, depth_loss: 0.060926757752895355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9323053956031799, dino_loss: 0.734375, depth_loss: 0.06529693305492401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2885/10000 [5:53:59<22:02:21, 11.15s/it]
                                                         
{'loss': 1.6894, 'grad_norm': 1.417307734489441, 'learning_rate': 4.261911399010413e-05, 'epoch': 0.03}

 29%|██▉       | 2885/10000 [5:53:59<22:02:21, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8996374607086182, dino_loss: 0.7109375, depth_loss: 0.07363560050725937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8981931209564209, dino_loss: 0.671875, depth_loss: 0.05390004441142082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2886/10000 [5:54:10<22:09:02, 11.21s/it]
                                                         
{'loss': 1.6542, 'grad_norm': 3.7236762046813965, 'learning_rate': 4.2613247828174635e-05, 'epoch': 0.03}

 29%|██▉       | 2886/10000 [5:54:10<22:09:02, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9847898483276367, dino_loss: 0.69921875, depth_loss: 0.05733347684144974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8590490818023682, dino_loss: 0.6640625, depth_loss: 0.048868902027606964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2887/10000 [5:54:22<22:25:20, 11.35s/it]
                                                         
{'loss': 1.6568, 'grad_norm': 2.3737432956695557, 'learning_rate': 4.260737974008683e-05, 'epoch': 0.03}

 29%|██▉       | 2887/10000 [5:54:22<22:25:20, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0481061935424805, dino_loss: 0.734375, depth_loss: 0.06557464599609375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9687879681587219, dino_loss: 0.72265625, depth_loss: 0.06772515177726746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2888/10000 [5:54:33<22:14:35, 11.26s/it]
                                                         
{'loss': 1.8038, 'grad_norm': 1.5631675720214844, 'learning_rate': 4.260150972648246e-05, 'epoch': 0.03}

 29%|██▉       | 2888/10000 [5:54:33<22:14:35, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9058835506439209, dino_loss: 0.68359375, depth_loss: 0.04737516865134239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9931907653808594, dino_loss: 0.69140625, depth_loss: 0.052054066210985184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2889/10000 [5:54:44<22:02:36, 11.16s/it]
                                                         
{'loss': 1.6871, 'grad_norm': 2.029736280441284, 'learning_rate': 4.259563778800344e-05, 'epoch': 0.03}

 29%|██▉       | 2889/10000 [5:54:44<22:02:36, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0838496685028076, dino_loss: 0.69140625, depth_loss: 0.0723148062825203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.939302384853363, dino_loss: 0.71484375, depth_loss: 0.0705769807100296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2890/10000 [5:54:55<21:55:55, 11.10s/it]
                                                         
{'loss': 1.7864, 'grad_norm': 2.8162574768066406, 'learning_rate': 4.258976392529192e-05, 'epoch': 0.03}

 29%|██▉       | 2890/10000 [5:54:55<21:55:55, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8945811986923218, dino_loss: 0.65234375, depth_loss: 0.054414208978414536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8173601627349854, dino_loss: 0.66796875, depth_loss: 0.061862051486968994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2891/10000 [5:55:06<22:00:51, 11.15s/it]
                                                         
{'loss': 1.5746, 'grad_norm': 3.2222707271575928, 'learning_rate': 4.258388813899028e-05, 'epoch': 0.03}

 29%|██▉       | 2891/10000 [5:55:06<22:00:51, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0744125843048096, dino_loss: 0.75390625, depth_loss: 0.07020855695009232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8842324018478394, dino_loss: 0.703125, depth_loss: 0.0552799329161644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2892/10000 [5:55:17<22:13:34, 11.26s/it]
                                                         
{'loss': 1.7707, 'grad_norm': 2.121157646179199, 'learning_rate': 4.257801042974105e-05, 'epoch': 0.03}

 29%|██▉       | 2892/10000 [5:55:17<22:13:34, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0493249893188477, dino_loss: 0.671875, depth_loss: 0.08149630576372147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9564155340194702, dino_loss: 0.71875, depth_loss: 0.07811760157346725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2893/10000 [5:55:28<22:05:32, 11.19s/it]
                                                         
{'loss': 1.7781, 'grad_norm': 3.041001081466675, 'learning_rate': 4.257213079818705e-05, 'epoch': 0.03}

 29%|██▉       | 2893/10000 [5:55:28<22:05:32, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9798131585121155, dino_loss: 0.671875, depth_loss: 0.060238540172576904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.9956005215644836, dino_loss: 0.67578125, depth_loss: 0.05789828300476074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2894/10000 [5:55:39<21:58:32, 11.13s/it]
                                                         
{'loss': 1.7207, 'grad_norm': 2.6054534912109375, 'learning_rate': 4.256624924497123e-05, 'epoch': 0.03}

 29%|██▉       | 2894/10000 [5:55:39<21:58:32, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8900364637374878, dino_loss: 0.65625, depth_loss: 0.05720415338873863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9926421046257019, dino_loss: 0.66796875, depth_loss: 0.0462660938501358, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2895/10000 [5:55:51<22:06:47, 11.20s/it]
                                                         
{'loss': 1.6553, 'grad_norm': 2.0752742290496826, 'learning_rate': 4.256036577073681e-05, 'epoch': 0.03}

 29%|██▉       | 2895/10000 [5:55:51<22:06:47, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8897163271903992, dino_loss: 0.7265625, depth_loss: 0.0510437898337841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7288651466369629, dino_loss: 0.70703125, depth_loss: 0.05825554579496384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2896/10000 [5:56:02<22:05:33, 11.20s/it]
                                                         
{'loss': 1.5808, 'grad_norm': 1.816106915473938, 'learning_rate': 4.255448037612719e-05, 'epoch': 0.03}

 29%|██▉       | 2896/10000 [5:56:02<22:05:33, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9362355470657349, dino_loss: 0.66015625, depth_loss: 0.06543969362974167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7638314962387085, dino_loss: 0.69140625, depth_loss: 0.05884472280740738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2897/10000 [5:56:13<22:08:42, 11.22s/it]
                                                         
{'loss': 1.5881, 'grad_norm': 4.710414886474609, 'learning_rate': 4.254859306178599e-05, 'epoch': 0.03}

 29%|██▉       | 2897/10000 [5:56:13<22:08:42, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9493605494499207, dino_loss: 0.6875, depth_loss: 0.0680781751871109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6892789602279663, dino_loss: 0.7265625, depth_loss: 0.08042795211076736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2898/10000 [5:56:25<22:18:42, 11.31s/it]
                                                         
{'loss': 1.6007, 'grad_norm': 2.282917022705078, 'learning_rate': 4.254270382835703e-05, 'epoch': 0.03}

 29%|██▉       | 2898/10000 [5:56:25<22:18:42, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8821626901626587, dino_loss: 0.73046875, depth_loss: 0.06210808455944061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8519065380096436, dino_loss: 0.67578125, depth_loss: 0.061306290328502655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2899/10000 [5:56:36<22:16:17, 11.29s/it]
                                                         
{'loss': 1.6319, 'grad_norm': 2.044408082962036, 'learning_rate': 4.2536812676484356e-05, 'epoch': 0.03}

 29%|██▉       | 2899/10000 [5:56:36<22:16:17, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9271762371063232, dino_loss: 0.64453125, depth_loss: 0.05494377762079239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9609407186508179, dino_loss: 0.6796875, depth_loss: 0.06754112988710403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2900/10000 [5:56:47<22:13:41, 11.27s/it]
                                                         
{'loss': 1.6675, 'grad_norm': 2.7517340183258057, 'learning_rate': 4.2530919606812216e-05, 'epoch': 0.03}

 29%|██▉       | 2900/10000 [5:56:47<22:13:41, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9613843560218811, dino_loss: 0.64453125, depth_loss: 0.04961591958999634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8761212229728699, dino_loss: 0.73828125, depth_loss: 0.06142139434814453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2901/10000 [5:56:59<22:25:12, 11.37s/it]
                                                         
{'loss': 1.6657, 'grad_norm': 2.547461986541748, 'learning_rate': 4.2525024619985064e-05, 'epoch': 0.03}

 29%|██▉       | 2901/10000 [5:56:59<22:25:12, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.08060884475708, dino_loss: 0.71484375, depth_loss: 0.06381268799304962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 1.079532265663147, dino_loss: 0.71875, depth_loss: 0.08385372161865234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2902/10000 [5:57:10<22:09:14, 11.24s/it]
                                                         
{'loss': 1.8708, 'grad_norm': 3.10361385345459, 'learning_rate': 4.251912771664758e-05, 'epoch': 0.03}

 29%|██▉       | 2902/10000 [5:57:10<22:09:14, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8506189584732056, dino_loss: 0.67578125, depth_loss: 0.06501707434654236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8829452991485596, dino_loss: 0.63671875, depth_loss: 0.054824382066726685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2903/10000 [5:57:21<22:04:13, 11.20s/it]
                                                         
{'loss': 1.583, 'grad_norm': 2.738084554672241, 'learning_rate': 4.251322889744461e-05, 'epoch': 0.03}

 29%|██▉       | 2903/10000 [5:57:21<22:04:13, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9748227596282959, dino_loss: 0.734375, depth_loss: 0.06780928373336792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9395530819892883, dino_loss: 0.68359375, depth_loss: 0.055648401379585266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2904/10000 [5:57:32<21:58:50, 11.15s/it]
                                                         
{'loss': 1.728, 'grad_norm': 2.86776065826416, 'learning_rate': 4.250732816302127e-05, 'epoch': 0.03}

 29%|██▉       | 2904/10000 [5:57:32<21:58:50, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1473009586334229, dino_loss: 0.69140625, depth_loss: 0.07905592769384384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9001942873001099, dino_loss: 0.671875, depth_loss: 0.048952069133520126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2905/10000 [5:57:43<22:07:37, 11.23s/it]
                                                         
{'loss': 1.7695, 'grad_norm': 1.801862120628357, 'learning_rate': 4.250142551402284e-05, 'epoch': 0.03}

 29%|██▉       | 2905/10000 [5:57:43<22:07:37, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9395816922187805, dino_loss: 0.75390625, depth_loss: 0.07163640856742859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9179192781448364, dino_loss: 0.6796875, depth_loss: 0.06726338714361191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2906/10000 [5:57:54<21:59:53, 11.16s/it]
                                                         
{'loss': 1.715, 'grad_norm': 1.7925031185150146, 'learning_rate': 4.249552095109482e-05, 'epoch': 0.03}

 29%|██▉       | 2906/10000 [5:57:54<21:59:53, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8532987833023071, dino_loss: 0.60546875, depth_loss: 0.04924750328063965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.84241783618927, dino_loss: 0.66796875, depth_loss: 0.05727544054389, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2907/10000 [5:58:06<22:10:03, 11.25s/it]
                                                         
{'loss': 1.5379, 'grad_norm': 2.917527437210083, 'learning_rate': 4.248961447488295e-05, 'epoch': 0.03}

 29%|██▉       | 2907/10000 [5:58:06<22:10:03, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0113606452941895, dino_loss: 0.70703125, depth_loss: 0.05895611271262169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8697153925895691, dino_loss: 0.7890625, depth_loss: 0.07914609462022781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2908/10000 [5:58:18<22:29:35, 11.42s/it]
                                                         
{'loss': 1.7577, 'grad_norm': 4.132024765014648, 'learning_rate': 4.248370608603313e-05, 'epoch': 0.03}

 29%|██▉       | 2908/10000 [5:58:18<22:29:35, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9940337538719177, dino_loss: 0.703125, depth_loss: 0.05918455123901367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0554311275482178, dino_loss: 0.69140625, depth_loss: 0.06710939854383469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2909/10000 [5:58:28<21:58:41, 11.16s/it]
                                                         
{'loss': 1.7852, 'grad_norm': 2.113306760787964, 'learning_rate': 4.247779578519149e-05, 'epoch': 0.03}

 29%|██▉       | 2909/10000 [5:58:28<21:58:41, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9157103300094604, dino_loss: 0.67578125, depth_loss: 0.05934523791074753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9038257598876953, dino_loss: 0.6875, depth_loss: 0.07389041781425476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2910/10000 [5:58:39<21:55:56, 11.14s/it]
                                                         
{'loss': 1.6581, 'grad_norm': 1.9893097877502441, 'learning_rate': 4.247188357300439e-05, 'epoch': 0.03}

 29%|██▉       | 2910/10000 [5:58:39<21:55:56, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.053286075592041, dino_loss: 0.6875, depth_loss: 0.05644392967224121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9309040904045105, dino_loss: 0.6875, depth_loss: 0.056882865726947784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2911/10000 [5:58:50<21:48:47, 11.08s/it]
                                                         
{'loss': 1.7363, 'grad_norm': 2.4478092193603516, 'learning_rate': 4.246596945011837e-05, 'epoch': 0.03}

 29%|██▉       | 2911/10000 [5:58:50<21:48:47, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0346043109893799, dino_loss: 0.70703125, depth_loss: 0.06175023317337036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8987229466438293, dino_loss: 0.67578125, depth_loss: 0.050191108137369156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2912/10000 [5:59:01<21:53:43, 11.12s/it]
                                                         
{'loss': 1.7141, 'grad_norm': 2.5943756103515625, 'learning_rate': 4.246005341718019e-05, 'epoch': 0.03}

 29%|██▉       | 2912/10000 [5:59:01<21:53:43, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9905922412872314, dino_loss: 0.7421875, depth_loss: 0.06007850170135498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8822033405303955, dino_loss: 0.72265625, depth_loss: 0.05532808229327202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2913/10000 [5:59:12<21:46:04, 11.06s/it]
                                                         
{'loss': 1.7266, 'grad_norm': 2.2285139560699463, 'learning_rate': 4.245413547483682e-05, 'epoch': 0.03}

 29%|██▉       | 2913/10000 [5:59:12<21:46:04, 11.06s/it]the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9739089608192444, dino_loss: 0.73046875, depth_loss: 0.06128950044512749, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8616847991943359, dino_loss: 0.640625, depth_loss: 0.061659783124923706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2914/10000 [5:59:24<21:54:20, 11.13s/it]
                                                         
{'loss': 1.6649, 'grad_norm': 4.3628692626953125, 'learning_rate': 4.244821562373543e-05, 'epoch': 0.03}

 29%|██▉       | 2914/10000 [5:59:24<21:54:20, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8495564460754395, dino_loss: 0.63671875, depth_loss: 0.049454644322395325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9467993378639221, dino_loss: 0.6953125, depth_loss: 0.07329023629426956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2915/10000 [5:59:35<21:58:09, 11.16s/it]
                                                         
{'loss': 1.6256, 'grad_norm': 1.6705400943756104, 'learning_rate': 4.244229386452342e-05, 'epoch': 0.03}

 29%|██▉       | 2915/10000 [5:59:35<21:58:09, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8987298011779785, dino_loss: 0.69140625, depth_loss: 0.06543544679880142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9553672075271606, dino_loss: 0.68359375, depth_loss: 0.06073835864663124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2916/10000 [5:59:46<21:51:44, 11.11s/it]
                                                         
{'loss': 1.6777, 'grad_norm': 1.8481378555297852, 'learning_rate': 4.2436370197848374e-05, 'epoch': 0.03}

 29%|██▉       | 2916/10000 [5:59:46<21:51:44, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9225524663925171, dino_loss: 0.69921875, depth_loss: 0.07003890722990036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9274451732635498, dino_loss: 0.71875, depth_loss: 0.05609450116753578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2917/10000 [5:59:57<21:51:27, 11.11s/it]
                                                         
{'loss': 1.6971, 'grad_norm': 3.035132884979248, 'learning_rate': 4.24304446243581e-05, 'epoch': 0.03}

 29%|██▉       | 2917/10000 [5:59:57<21:51:27, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.926601767539978, dino_loss: 0.71875, depth_loss: 0.06596802175045013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8632704019546509, dino_loss: 0.6015625, depth_loss: 0.055630799382925034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2918/10000 [6:00:08<21:50:15, 11.10s/it]
                                                         
{'loss': 1.616, 'grad_norm': 4.072854518890381, 'learning_rate': 4.2424517144700603e-05, 'epoch': 0.03}

 29%|██▉       | 2918/10000 [6:00:08<21:50:15, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8488120436668396, dino_loss: 0.70703125, depth_loss: 0.06810225546360016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8310551643371582, dino_loss: 0.68359375, depth_loss: 0.06419426202774048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2919/10000 [6:00:19<21:53:01, 11.13s/it]
                                                         
{'loss': 1.6014, 'grad_norm': 3.464848518371582, 'learning_rate': 4.2418587759524115e-05, 'epoch': 0.03}

 29%|██▉       | 2919/10000 [6:00:19<21:53:01, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9355987906455994, dino_loss: 0.703125, depth_loss: 0.06988978385925293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0192136764526367, dino_loss: 0.7109375, depth_loss: 0.057011790573596954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2920/10000 [6:00:30<21:54:37, 11.14s/it]
                                                         
{'loss': 1.748, 'grad_norm': 2.156299114227295, 'learning_rate': 4.241265646947706e-05, 'epoch': 0.03}

 29%|██▉       | 2920/10000 [6:00:30<21:54:37, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0203094482421875, dino_loss: 0.65234375, depth_loss: 0.056997936218976974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8889468908309937, dino_loss: 0.6875, depth_loss: 0.058195095509290695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2921/10000 [6:00:42<21:57:50, 11.17s/it]
                                                         
{'loss': 1.6822, 'grad_norm': 2.2830607891082764, 'learning_rate': 4.240672327520806e-05, 'epoch': 0.03}

 29%|██▉       | 2921/10000 [6:00:42<21:57:50, 11.17s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7963302135467529, dino_loss: 0.6484375, depth_loss: 0.06075690686702728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9994138479232788, dino_loss: 0.6796875, depth_loss: 0.055013932287693024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2922/10000 [6:00:53<21:51:23, 11.12s/it]
                                                         
{'loss': 1.6199, 'grad_norm': 3.136329412460327, 'learning_rate': 4.2400788177365985e-05, 'epoch': 0.03}

 29%|██▉       | 2922/10000 [6:00:53<21:51:23, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8057026863098145, dino_loss: 0.65234375, depth_loss: 0.06108458712697029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9746034741401672, dino_loss: 0.73046875, depth_loss: 0.06871058791875839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2923/10000 [6:01:04<21:45:00, 11.06s/it]
                                                         
{'loss': 1.6465, 'grad_norm': 2.3878583908081055, 'learning_rate': 4.239485117659987e-05, 'epoch': 0.03}

 29%|██▉       | 2923/10000 [6:01:04<21:45:00, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052703857421875, dino_loss: 0.640625, depth_loss: 0.060190845280885696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8872209787368774, dino_loss: 0.7109375, depth_loss: 0.06233314424753189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2924/10000 [6:01:15<21:50:07, 11.11s/it]
                                                         
{'loss': 1.7071, 'grad_norm': 2.104321002960205, 'learning_rate': 4.238891227355899e-05, 'epoch': 0.03}

 29%|██▉       | 2924/10000 [6:01:15<21:50:07, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0383738279342651, dino_loss: 0.7578125, depth_loss: 0.06834863126277924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0510063171386719, dino_loss: 0.70703125, depth_loss: 0.05600573122501373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2925/10000 [6:01:26<21:40:58, 11.03s/it]
                                                         
{'loss': 1.8393, 'grad_norm': 1.4780563116073608, 'learning_rate': 4.2382971468892806e-05, 'epoch': 0.03}

 29%|██▉       | 2925/10000 [6:01:26<21:40:58, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0531092882156372, dino_loss: 0.69140625, depth_loss: 0.05636747181415558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7833292484283447, dino_loss: 0.6796875, depth_loss: 0.06153794005513191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2926/10000 [6:01:37<21:41:36, 11.04s/it]
                                                         
{'loss': 1.6628, 'grad_norm': 2.5206820964813232, 'learning_rate': 4.2377028763250995e-05, 'epoch': 0.03}

 29%|██▉       | 2926/10000 [6:01:37<21:41:36, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9242583513259888, dino_loss: 0.71484375, depth_loss: 0.06982095539569855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0080409049987793, dino_loss: 0.6875, depth_loss: 0.060001835227012634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2927/10000 [6:01:48<21:39:08, 11.02s/it]
                                                         
{'loss': 1.7323, 'grad_norm': 1.8609180450439453, 'learning_rate': 4.237108415728345e-05, 'epoch': 0.03}

 29%|██▉       | 2927/10000 [6:01:48<21:39:08, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9704408645629883, dino_loss: 0.68359375, depth_loss: 0.07410948723554611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9728501439094543, dino_loss: 0.69921875, depth_loss: 0.06525729596614838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2928/10000 [6:01:59<21:46:46, 11.09s/it]
                                                         
{'loss': 1.7328, 'grad_norm': 3.2116687297821045, 'learning_rate': 4.236513765164025e-05, 'epoch': 0.03}

 29%|██▉       | 2928/10000 [6:01:59<21:46:46, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.913786768913269, dino_loss: 0.66796875, depth_loss: 0.04663950204849243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9047068357467651, dino_loss: 0.65625, depth_loss: 0.06627893447875977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2929/10000 [6:02:10<21:45:38, 11.08s/it]
                                                         
{'loss': 1.6279, 'grad_norm': 3.40968656539917, 'learning_rate': 4.23591892469717e-05, 'epoch': 0.03}

 29%|██▉       | 2929/10000 [6:02:10<21:45:38, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.007529854774475, dino_loss: 0.7421875, depth_loss: 0.08062305301427841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9807287454605103, dino_loss: 0.6640625, depth_loss: 0.053097255527973175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2930/10000 [6:02:20<21:27:09, 10.92s/it]
                                                         
{'loss': 1.7642, 'grad_norm': 1.9361984729766846, 'learning_rate': 4.235323894392832e-05, 'epoch': 0.03}

 29%|██▉       | 2930/10000 [6:02:20<21:27:09, 10.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9566478729248047, dino_loss: 0.6953125, depth_loss: 0.05297642946243286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9006692171096802, dino_loss: 0.6953125, depth_loss: 0.05781123787164688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2931/10000 [6:02:32<21:49:41, 11.12s/it]
                                                         
{'loss': 1.6794, 'grad_norm': 1.9279608726501465, 'learning_rate': 4.2347286743160825e-05, 'epoch': 0.03}

 29%|██▉       | 2931/10000 [6:02:32<21:49:41, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9159541726112366, dino_loss: 0.71875, depth_loss: 0.06329730153083801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0379071235656738, dino_loss: 0.7109375, depth_loss: 0.07151985913515091, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2932/10000 [6:02:43<21:39:47, 11.03s/it]
                                                         
{'loss': 1.7592, 'grad_norm': 5.222457408905029, 'learning_rate': 4.234133264532012e-05, 'epoch': 0.03}

 29%|██▉       | 2932/10000 [6:02:43<21:39:47, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9035903811454773, dino_loss: 0.640625, depth_loss: 0.06446523219347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9113767147064209, dino_loss: 0.6796875, depth_loss: 0.05766710266470909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2933/10000 [6:02:54<21:38:51, 11.03s/it]
                                                         
{'loss': 1.6288, 'grad_norm': 2.655424118041992, 'learning_rate': 4.233537665105737e-05, 'epoch': 0.03}

 29%|██▉       | 2933/10000 [6:02:54<21:38:51, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0273557901382446, dino_loss: 0.73046875, depth_loss: 0.07461891323328018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7715421915054321, dino_loss: 0.6640625, depth_loss: 0.048744142055511475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2934/10000 [6:03:05<21:36:05, 11.01s/it]
                                                         
{'loss': 1.6585, 'grad_norm': 2.3905346393585205, 'learning_rate': 4.232941876102388e-05, 'epoch': 0.03}

 29%|██▉       | 2934/10000 [6:03:05<21:36:05, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8234254121780396, dino_loss: 0.7265625, depth_loss: 0.07233460247516632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9290605187416077, dino_loss: 0.7109375, depth_loss: 0.07656718045473099, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2935/10000 [6:03:16<21:56:54, 11.18s/it]
                                                         
{'loss': 1.6695, 'grad_norm': 1.5977022647857666, 'learning_rate': 4.23234589758712e-05, 'epoch': 0.03}

 29%|██▉       | 2935/10000 [6:03:16<21:56:54, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0378127098083496, dino_loss: 0.68359375, depth_loss: 0.05443605035543442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7945106625556946, dino_loss: 0.625, depth_loss: 0.054495133459568024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2936/10000 [6:03:27<21:42:40, 11.06s/it]
                                                         
{'loss': 1.625, 'grad_norm': 2.3519976139068604, 'learning_rate': 4.231749729625111e-05, 'epoch': 0.03}

 29%|██▉       | 2936/10000 [6:03:27<21:42:40, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8503198027610779, dino_loss: 0.71875, depth_loss: 0.055764514952898026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9676043391227722, dino_loss: 0.69140625, depth_loss: 0.0640684962272644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2937/10000 [6:03:38<21:45:34, 11.09s/it]
                                                         
{'loss': 1.6741, 'grad_norm': 3.062587022781372, 'learning_rate': 4.231153372281554e-05, 'epoch': 0.03}

 29%|██▉       | 2937/10000 [6:03:38<21:45:34, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9676335453987122, dino_loss: 0.703125, depth_loss: 0.05999434366822243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8526315689086914, dino_loss: 0.70703125, depth_loss: 0.06171031668782234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2938/10000 [6:03:50<21:53:47, 11.16s/it]
                                                         
{'loss': 1.6761, 'grad_norm': 2.548214912414551, 'learning_rate': 4.230556825621667e-05, 'epoch': 0.03}

 29%|██▉       | 2938/10000 [6:03:50<21:53:47, 11.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9136677384376526, dino_loss: 0.69921875, depth_loss: 0.05920024961233139, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.983237624168396, dino_loss: 0.73046875, depth_loss: 0.06226423755288124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2939/10000 [6:04:01<21:59:43, 11.21s/it]
                                                         
{'loss': 1.7241, 'grad_norm': 2.345271110534668, 'learning_rate': 4.229960089710687e-05, 'epoch': 0.03}

 29%|██▉       | 2939/10000 [6:04:01<21:59:43, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8379561305046082, dino_loss: 0.6796875, depth_loss: 0.07374221831560135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2634117603302002, dino_loss: 0.7265625, depth_loss: 0.07479657232761383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2940/10000 [6:04:12<21:54:53, 11.17s/it]
                                                         
{'loss': 1.8281, 'grad_norm': 6.123969078063965, 'learning_rate': 4.229363164613874e-05, 'epoch': 0.03}

 29%|██▉       | 2940/10000 [6:04:12<21:54:53, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0952355861663818, dino_loss: 0.70703125, depth_loss: 0.059754177927970886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9945809841156006, dino_loss: 0.6953125, depth_loss: 0.053085409104824066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2941/10000 [6:04:23<21:55:04, 11.18s/it]
                                                         
{'loss': 1.8026, 'grad_norm': 3.243075370788574, 'learning_rate': 4.228766050396504e-05, 'epoch': 0.03}

 29%|██▉       | 2941/10000 [6:04:23<21:55:04, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9925054311752319, dino_loss: 0.6640625, depth_loss: 0.05172768235206604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6965790390968323, dino_loss: 0.61328125, depth_loss: 0.0479743629693985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2942/10000 [6:04:34<21:54:17, 11.17s/it]
                                                         
{'loss': 1.5331, 'grad_norm': 2.48995041847229, 'learning_rate': 4.228168747123879e-05, 'epoch': 0.03}

 29%|██▉       | 2942/10000 [6:04:34<21:54:17, 11.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8912412524223328, dino_loss: 0.60546875, depth_loss: 0.05055851861834526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9571029543876648, dino_loss: 0.7109375, depth_loss: 0.08654878288507462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2943/10000 [6:04:45<21:41:56, 11.07s/it]
                                                         
{'loss': 1.651, 'grad_norm': 3.1280791759490967, 'learning_rate': 4.227571254861317e-05, 'epoch': 0.03}

 29%|██▉       | 2943/10000 [6:04:45<21:41:56, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8535404205322266, dino_loss: 0.734375, depth_loss: 0.06069379299879074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9412206411361694, dino_loss: 0.70703125, depth_loss: 0.06352800875902176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2944/10000 [6:04:57<21:55:28, 11.19s/it]
                                                         
{'loss': 1.6803, 'grad_norm': 2.6898012161254883, 'learning_rate': 4.22697357367416e-05, 'epoch': 0.03}

 29%|██▉       | 2944/10000 [6:04:57<21:55:28, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8738048076629639, dino_loss: 0.65625, depth_loss: 0.07174748182296753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9278181791305542, dino_loss: 0.68359375, depth_loss: 0.05862689018249512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2945/10000 [6:05:08<21:56:01, 11.19s/it]
                                                         
{'loss': 1.636, 'grad_norm': 2.5289742946624756, 'learning_rate': 4.2263757036277705e-05, 'epoch': 0.03}

 29%|██▉       | 2945/10000 [6:05:08<21:56:01, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9647032022476196, dino_loss: 0.69140625, depth_loss: 0.06951708346605301, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8897106051445007, dino_loss: 0.71875, depth_loss: 0.07848422229290009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2946/10000 [6:05:19<21:45:00, 11.10s/it]
                                                         
{'loss': 1.7063, 'grad_norm': 1.4418766498565674, 'learning_rate': 4.2257776447875286e-05, 'epoch': 0.03}

 29%|██▉       | 2946/10000 [6:05:19<21:45:00, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8898252248764038, dino_loss: 0.7109375, depth_loss: 0.06797543168067932, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9702115058898926, dino_loss: 0.68359375, depth_loss: 0.08395859599113464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2947/10000 [6:05:30<21:43:29, 11.09s/it]
                                                         
{'loss': 1.7033, 'grad_norm': 2.4133663177490234, 'learning_rate': 4.225179397218839e-05, 'epoch': 0.03}

 29%|██▉       | 2947/10000 [6:05:30<21:43:29, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9322940111160278, dino_loss: 0.6796875, depth_loss: 0.06764289736747742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9144513010978699, dino_loss: 0.67578125, depth_loss: 0.052470698952674866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2948/10000 [6:05:41<21:48:21, 11.13s/it]
                                                         
{'loss': 1.6612, 'grad_norm': 2.509361505508423, 'learning_rate': 4.2245809609871236e-05, 'epoch': 0.03}

 29%|██▉       | 2948/10000 [6:05:41<21:48:21, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9080905914306641, dino_loss: 0.68359375, depth_loss: 0.05338037386536598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7683389186859131, dino_loss: 0.66796875, depth_loss: 0.060073066502809525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 29%|██▉       | 2949/10000 [6:05:52<21:41:18, 11.07s/it]
                                                         
{'loss': 1.5708, 'grad_norm': 2.54386043548584, 'learning_rate': 4.223982336157828e-05, 'epoch': 0.03}

 29%|██▉       | 2949/10000 [6:05:52<21:41:18, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8481926321983337, dino_loss: 0.703125, depth_loss: 0.07271327078342438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.832969069480896, dino_loss: 0.734375, depth_loss: 0.07282143086194992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2950/10000 [6:06:03<21:36:12, 11.03s/it]
                                                         
{'loss': 1.6321, 'grad_norm': 2.6849968433380127, 'learning_rate': 4.223383522796415e-05, 'epoch': 0.03}

 30%|██▉       | 2950/10000 [6:06:03<21:36:12, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9342638254165649, dino_loss: 0.7109375, depth_loss: 0.06731995940208435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9300421476364136, dino_loss: 0.73828125, depth_loss: 0.0744858831167221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2951/10000 [6:06:14<21:36:01, 11.03s/it]
                                                         
{'loss': 1.7279, 'grad_norm': 3.1872901916503906, 'learning_rate': 4.2227845209683716e-05, 'epoch': 0.03}

 30%|██▉       | 2951/10000 [6:06:14<21:36:01, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9111825823783875, dino_loss: 0.7734375, depth_loss: 0.058153338730335236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9057259559631348, dino_loss: 0.69140625, depth_loss: 0.06849896162748337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2952/10000 [6:06:27<22:27:48, 11.47s/it]
                                                         
{'loss': 1.7043, 'grad_norm': 2.606235980987549, 'learning_rate': 4.222185330739203e-05, 'epoch': 0.03}

 30%|██▉       | 2952/10000 [6:06:27<22:27:48, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.062990665435791, dino_loss: 0.7421875, depth_loss: 0.05991854891180992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0782490968704224, dino_loss: 0.7578125, depth_loss: 0.07087808102369308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2953/10000 [6:06:38<22:23:47, 11.44s/it]
                                                         
{'loss': 1.8861, 'grad_norm': 3.3207244873046875, 'learning_rate': 4.221585952174436e-05, 'epoch': 0.03}

 30%|██▉       | 2953/10000 [6:06:38<22:23:47, 11.44s/it]the number of masks: 8
the number of masks: 2
the number of masks: 8
the number of masks: 8
seg_loss: 0.8414559960365295, dino_loss: 0.703125, depth_loss: 0.06506884098052979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9431725144386292, dino_loss: 0.7421875, depth_loss: 0.05875492841005325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2954/10000 [6:06:49<22:01:46, 11.26s/it]
                                                         
{'loss': 1.677, 'grad_norm': 1.4059269428253174, 'learning_rate': 4.220986385339617e-05, 'epoch': 0.03}

 30%|██▉       | 2954/10000 [6:06:49<22:01:46, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9733469486236572, dino_loss: 0.66015625, depth_loss: 0.05101906135678291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9207552671432495, dino_loss: 0.69140625, depth_loss: 0.05784009397029877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2955/10000 [6:07:00<21:52:46, 11.18s/it]
                                                         
{'loss': 1.6774, 'grad_norm': 3.4107065200805664, 'learning_rate': 4.220386630300315e-05, 'epoch': 0.03}

 30%|██▉       | 2955/10000 [6:07:00<21:52:46, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1970512866973877, dino_loss: 0.75390625, depth_loss: 0.06282248347997665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7542474865913391, dino_loss: 0.66015625, depth_loss: 0.060747381299734116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2956/10000 [6:07:11<21:44:03, 11.11s/it]
                                                         
{'loss': 1.7446, 'grad_norm': 2.82779598236084, 'learning_rate': 4.2197866871221184e-05, 'epoch': 0.03}

 30%|██▉       | 2956/10000 [6:07:11<21:44:03, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8967269062995911, dino_loss: 0.6875, depth_loss: 0.05752018466591835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9851468801498413, dino_loss: 0.73828125, depth_loss: 0.08017957210540771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2957/10000 [6:07:22<21:42:27, 11.10s/it]
                                                         
{'loss': 1.7228, 'grad_norm': 2.0624027252197266, 'learning_rate': 4.219186555870634e-05, 'epoch': 0.03}

 30%|██▉       | 2957/10000 [6:07:22<21:42:27, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9573235511779785, dino_loss: 0.7109375, depth_loss: 0.07758394628763199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9294208288192749, dino_loss: 0.78125, depth_loss: 0.06436485052108765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2958/10000 [6:07:33<21:43:25, 11.11s/it]
                                                         
{'loss': 1.7607, 'grad_norm': 3.085062026977539, 'learning_rate': 4.2185862366114936e-05, 'epoch': 0.03}

 30%|██▉       | 2958/10000 [6:07:33<21:43:25, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8669029474258423, dino_loss: 0.66796875, depth_loss: 0.04883968457579613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9247198104858398, dino_loss: 0.7109375, depth_loss: 0.0737079605460167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2959/10000 [6:07:44<21:43:27, 11.11s/it]
                                                         
{'loss': 1.6466, 'grad_norm': 2.6240010261535645, 'learning_rate': 4.217985729410346e-05, 'epoch': 0.03}

 30%|██▉       | 2959/10000 [6:07:44<21:43:27, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6988628506660461, dino_loss: 0.62890625, depth_loss: 0.043580662459135056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.985629677772522, dino_loss: 0.6953125, depth_loss: 0.06378456950187683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2960/10000 [6:07:56<21:57:19, 11.23s/it]
                                                         
{'loss': 1.5581, 'grad_norm': 4.042247295379639, 'learning_rate': 4.217385034332861e-05, 'epoch': 0.03}

 30%|██▉       | 2960/10000 [6:07:56<21:57:19, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0345861911773682, dino_loss: 0.703125, depth_loss: 0.06322114169597626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.960798442363739, dino_loss: 0.71875, depth_loss: 0.057804837822914124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2961/10000 [6:08:06<21:37:43, 11.06s/it]
                                                         
{'loss': 1.7692, 'grad_norm': 3.4228081703186035, 'learning_rate': 4.216784151444732e-05, 'epoch': 0.03}

 30%|██▉       | 2961/10000 [6:08:06<21:37:43, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2722773551940918, dino_loss: 0.6875, depth_loss: 0.06572814285755157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8346981406211853, dino_loss: 0.68359375, depth_loss: 0.06594549864530563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2962/10000 [6:08:17<21:41:39, 11.10s/it]
                                                         
{'loss': 1.805, 'grad_norm': 5.954885482788086, 'learning_rate': 4.2161830808116685e-05, 'epoch': 0.03}

 30%|██▉       | 2962/10000 [6:08:17<21:41:39, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8856124877929688, dino_loss: 0.703125, depth_loss: 0.06166369095444679, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.125983715057373, dino_loss: 0.66796875, depth_loss: 0.05702871456742287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2963/10000 [6:08:28<21:40:57, 11.09s/it]
                                                         
{'loss': 1.7508, 'grad_norm': 2.7099056243896484, 'learning_rate': 4.215581822499404e-05, 'epoch': 0.03}

 30%|██▉       | 2963/10000 [6:08:28<21:40:57, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.982110321521759, dino_loss: 0.75390625, depth_loss: 0.07609809935092926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9782483577728271, dino_loss: 0.73046875, depth_loss: 0.07967497408390045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2964/10000 [6:08:39<21:32:44, 11.02s/it]
                                                         
{'loss': 1.8003, 'grad_norm': 1.7408610582351685, 'learning_rate': 4.214980376573691e-05, 'epoch': 0.03}

 30%|██▉       | 2964/10000 [6:08:39<21:32:44, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0084538459777832, dino_loss: 0.7421875, depth_loss: 0.06816864758729935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9985915422439575, dino_loss: 0.71484375, depth_loss: 0.06689824163913727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2965/10000 [6:08:51<21:38:23, 11.07s/it]
                                                         
{'loss': 1.7997, 'grad_norm': 1.7443188428878784, 'learning_rate': 4.214378743100302e-05, 'epoch': 0.03}

 30%|██▉       | 2965/10000 [6:08:51<21:38:23, 11.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8357830047607422, dino_loss: 0.71484375, depth_loss: 0.07323704659938812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9463220238685608, dino_loss: 0.67578125, depth_loss: 0.08295007795095444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2966/10000 [6:09:02<21:42:49, 11.11s/it]
                                                         
{'loss': 1.6646, 'grad_norm': 2.595839262008667, 'learning_rate': 4.213776922145031e-05, 'epoch': 0.03}

 30%|██▉       | 2966/10000 [6:09:02<21:42:49, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8213929533958435, dino_loss: 0.6640625, depth_loss: 0.057061851024627686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9442181587219238, dino_loss: 0.69921875, depth_loss: 0.07433317601680756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2967/10000 [6:09:13<21:53:09, 11.20s/it]
                                                         
{'loss': 1.6302, 'grad_norm': 2.699599504470825, 'learning_rate': 4.2131749137736925e-05, 'epoch': 0.03}

 30%|██▉       | 2967/10000 [6:09:13<21:53:09, 11.20s/it]the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0112420320510864, dino_loss: 0.71875, depth_loss: 0.06119339168071747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9925208687782288, dino_loss: 0.71875, depth_loss: 0.05717669799923897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2968/10000 [6:09:24<21:52:47, 11.20s/it]
                                                         
{'loss': 1.7799, 'grad_norm': 2.8029770851135254, 'learning_rate': 4.212572718052121e-05, 'epoch': 0.03}

 30%|██▉       | 2968/10000 [6:09:24<21:52:47, 11.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9915565848350525, dino_loss: 0.66796875, depth_loss: 0.051057904958724976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9458523392677307, dino_loss: 0.68359375, depth_loss: 0.056808169931173325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2969/10000 [6:09:35<21:46:22, 11.15s/it]
                                                         
{'loss': 1.6985, 'grad_norm': 2.0166759490966797, 'learning_rate': 4.211970335046172e-05, 'epoch': 0.03}

 30%|██▉       | 2969/10000 [6:09:35<21:46:22, 11.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0297590494155884, dino_loss: 0.7109375, depth_loss: 0.05738025903701782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8554826974868774, dino_loss: 0.67578125, depth_loss: 0.057033903896808624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2970/10000 [6:09:46<21:32:50, 11.03s/it]
                                                         
{'loss': 1.6936, 'grad_norm': 2.8542943000793457, 'learning_rate': 4.211367764821722e-05, 'epoch': 0.03}

 30%|██▉       | 2970/10000 [6:09:46<21:32:50, 11.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8659987449645996, dino_loss: 0.67578125, depth_loss: 0.06105039641261101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0079712867736816, dino_loss: 0.71875, depth_loss: 0.06398977339267731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2971/10000 [6:09:57<21:29:53, 11.01s/it]
                                                         
{'loss': 1.6968, 'grad_norm': 2.069140911102295, 'learning_rate': 4.210765007444666e-05, 'epoch': 0.03}

 30%|██▉       | 2971/10000 [6:09:57<21:29:53, 11.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8617682456970215, dino_loss: 0.671875, depth_loss: 0.0587582141160965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8570665121078491, dino_loss: 0.7265625, depth_loss: 0.06303764879703522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2972/10000 [6:10:08<21:43:58, 11.13s/it]
                                                         
{'loss': 1.6196, 'grad_norm': 1.6795144081115723, 'learning_rate': 4.2101620629809205e-05, 'epoch': 0.03}

 30%|██▉       | 2972/10000 [6:10:08<21:43:58, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.959791898727417, dino_loss: 0.7265625, depth_loss: 0.07173280417919159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.8337720632553101, dino_loss: 0.65234375, depth_loss: 0.05730992928147316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2973/10000 [6:10:20<21:39:24, 11.10s/it]
                                                         
{'loss': 1.6508, 'grad_norm': 2.063993215560913, 'learning_rate': 4.209558931496422e-05, 'epoch': 0.03}

 30%|██▉       | 2973/10000 [6:10:20<21:39:24, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9306216835975647, dino_loss: 0.7109375, depth_loss: 0.0466579794883728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8408476710319519, dino_loss: 0.65625, depth_loss: 0.058248139917850494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2974/10000 [6:10:30<21:34:53, 11.06s/it]
                                                         
{'loss': 1.6218, 'grad_norm': 2.37433123588562, 'learning_rate': 4.20895561305713e-05, 'epoch': 0.03}

 30%|██▉       | 2974/10000 [6:10:30<21:34:53, 11.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9323140382766724, dino_loss: 0.71875, depth_loss: 0.05937567353248596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8201804161071777, dino_loss: 0.7578125, depth_loss: 0.06794188171625137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2975/10000 [6:10:42<21:42:50, 11.13s/it]
                                                         
{'loss': 1.6782, 'grad_norm': 2.76873517036438, 'learning_rate': 4.2083521077290213e-05, 'epoch': 0.03}

 30%|██▉       | 2975/10000 [6:10:42<21:42:50, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9910831451416016, dino_loss: 0.69921875, depth_loss: 0.06367918848991394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9357538223266602, dino_loss: 0.703125, depth_loss: 0.06990459561347961, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2976/10000 [6:10:53<21:40:18, 11.11s/it]
                                                         
{'loss': 1.7314, 'grad_norm': 4.737286567687988, 'learning_rate': 4.207748415578094e-05, 'epoch': 0.03}

 30%|██▉       | 2976/10000 [6:10:53<21:40:18, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7376639246940613, dino_loss: 0.6484375, depth_loss: 0.04489842802286148, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9533877372741699, dino_loss: 0.69921875, depth_loss: 0.06753495335578918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2977/10000 [6:11:04<21:51:50, 11.21s/it]
                                                         
{'loss': 1.5756, 'grad_norm': 1.4264144897460938, 'learning_rate': 4.2071445366703685e-05, 'epoch': 0.03}

 30%|██▉       | 2977/10000 [6:11:04<21:51:50, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9026067852973938, dino_loss: 0.69140625, depth_loss: 0.055404774844646454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0106592178344727, dino_loss: 0.7578125, depth_loss: 0.05808024853467941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2978/10000 [6:11:16<22:17:05, 11.42s/it]
                                                         
{'loss': 1.738, 'grad_norm': 2.3990767002105713, 'learning_rate': 4.2065404710718834e-05, 'epoch': 0.03}

 30%|██▉       | 2978/10000 [6:11:16<22:17:05, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8848388195037842, dino_loss: 0.71875, depth_loss: 0.0604148730635643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8798409700393677, dino_loss: 0.6875, depth_loss: 0.07981561124324799, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2979/10000 [6:11:28<22:12:58, 11.39s/it]
                                                         
{'loss': 1.6556, 'grad_norm': 2.1576831340789795, 'learning_rate': 4.205936218848697e-05, 'epoch': 0.03}

 30%|██▉       | 2979/10000 [6:11:28<22:12:58, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.970180869102478, dino_loss: 0.671875, depth_loss: 0.05546751990914345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8119291067123413, dino_loss: 0.6796875, depth_loss: 0.05293801426887512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2980/10000 [6:11:39<22:00:42, 11.29s/it]
                                                         
{'loss': 1.6211, 'grad_norm': 1.7269436120986938, 'learning_rate': 4.205331780066892e-05, 'epoch': 0.03}

 30%|██▉       | 2980/10000 [6:11:39<22:00:42, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9020627737045288, dino_loss: 0.71484375, depth_loss: 0.06272970885038376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9407202005386353, dino_loss: 0.6640625, depth_loss: 0.051263101398944855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2981/10000 [6:11:49<21:47:45, 11.18s/it]
                                                         
{'loss': 1.6679, 'grad_norm': 5.993425369262695, 'learning_rate': 4.204727154792566e-05, 'epoch': 0.03}

 30%|██▉       | 2981/10000 [6:11:49<21:47:45, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.042053461074829, dino_loss: 0.67578125, depth_loss: 0.04816173017024994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0652409791946411, dino_loss: 0.72265625, depth_loss: 0.0937737226486206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2982/10000 [6:12:00<21:18:55, 10.93s/it]
                                                         
{'loss': 1.8239, 'grad_norm': 2.7868492603302, 'learning_rate': 4.204122343091842e-05, 'epoch': 0.03}

 30%|██▉       | 2982/10000 [6:12:00<21:18:55, 10.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8612238168716431, dino_loss: 0.6875, depth_loss: 0.05456477403640747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9250034093856812, dino_loss: 0.64453125, depth_loss: 0.06993044167757034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2983/10000 [6:12:11<21:22:16, 10.96s/it]
                                                         
{'loss': 1.6214, 'grad_norm': 3.3171942234039307, 'learning_rate': 4.203517345030861e-05, 'epoch': 0.03}

 30%|██▉       | 2983/10000 [6:12:11<21:22:16, 10.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0978240966796875, dino_loss: 0.70703125, depth_loss: 0.07089661061763763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8728203773498535, dino_loss: 0.71484375, depth_loss: 0.06676015257835388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2984/10000 [6:12:22<21:30:41, 11.04s/it]
                                                         
{'loss': 1.7651, 'grad_norm': 2.8388569355010986, 'learning_rate': 4.202912160675784e-05, 'epoch': 0.03}

 30%|██▉       | 2984/10000 [6:12:22<21:30:41, 11.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8803001642227173, dino_loss: 0.6328125, depth_loss: 0.061982739716768265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8989072442054749, dino_loss: 0.6640625, depth_loss: 0.06774093955755234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2985/10000 [6:12:33<21:42:21, 11.14s/it]
                                                         
{'loss': 1.6029, 'grad_norm': 3.035346746444702, 'learning_rate': 4.202306790092792e-05, 'epoch': 0.03}

 30%|██▉       | 2985/10000 [6:12:33<21:42:21, 11.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9454593658447266, dino_loss: 0.67578125, depth_loss: 0.05340839549899101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9055517315864563, dino_loss: 0.7109375, depth_loss: 0.07920398563146591, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2986/10000 [6:12:45<21:39:57, 11.12s/it]
                                                         
{'loss': 1.6852, 'grad_norm': 1.9770824909210205, 'learning_rate': 4.201701233348091e-05, 'epoch': 0.03}

 30%|██▉       | 2986/10000 [6:12:45<21:39:57, 11.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.3113781213760376, dino_loss: 0.66796875, depth_loss: 0.05938788503408432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9082372188568115, dino_loss: 0.6484375, depth_loss: 0.045623838901519775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2987/10000 [6:12:56<21:38:43, 11.11s/it]
                                                         
{'loss': 1.8206, 'grad_norm': 4.480726718902588, 'learning_rate': 4.201095490507901e-05, 'epoch': 0.03}

 30%|██▉       | 2987/10000 [6:12:56<21:38:43, 11.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9675564765930176, dino_loss: 0.6796875, depth_loss: 0.0699675977230072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7676569223403931, dino_loss: 0.6640625, depth_loss: 0.05211784318089485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2988/10000 [6:13:07<22:02:16, 11.31s/it]
                                                         
{'loss': 1.6006, 'grad_norm': 2.75329852104187, 'learning_rate': 4.200489561638466e-05, 'epoch': 0.03}

 30%|██▉       | 2988/10000 [6:13:07<22:02:16, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9954115152359009, dino_loss: 0.71484375, depth_loss: 0.08589621633291245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8685226440429688, dino_loss: 0.6875, depth_loss: 0.06413127481937408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2989/10000 [6:13:18<21:40:54, 11.13s/it]
                                                         
{'loss': 1.7082, 'grad_norm': 1.99849534034729, 'learning_rate': 4.199883446806048e-05, 'epoch': 0.03}

 30%|██▉       | 2989/10000 [6:13:18<21:40:54, 11.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9054819345474243, dino_loss: 0.7109375, depth_loss: 0.06817437708377838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9779008030891418, dino_loss: 0.75390625, depth_loss: 0.07511905580759048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2990/10000 [6:13:29<21:36:15, 11.09s/it]
                                                         
{'loss': 1.7458, 'grad_norm': 2.488285541534424, 'learning_rate': 4.199277146076933e-05, 'epoch': 0.03}

 30%|██▉       | 2990/10000 [6:13:29<21:36:15, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9485453963279724, dino_loss: 0.67578125, depth_loss: 0.07452237606048584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0013759136199951, dino_loss: 0.69921875, depth_loss: 0.08704778552055359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2991/10000 [6:13:39<21:09:20, 10.87s/it]
                                                         
{'loss': 1.7433, 'grad_norm': 1.409359097480774, 'learning_rate': 4.198670659517424e-05, 'epoch': 0.03}

 30%|██▉       | 2991/10000 [6:13:39<21:09:20, 10.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9103884696960449, dino_loss: 0.69921875, depth_loss: 0.04812247306108475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.9150239825248718, dino_loss: 0.6953125, depth_loss: 0.061573177576065063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2992/10000 [6:13:51<21:19:40, 10.96s/it]
                                                         
{'loss': 1.6649, 'grad_norm': 1.7848979234695435, 'learning_rate': 4.198063987193845e-05, 'epoch': 0.03}

 30%|██▉       | 2992/10000 [6:13:51<21:19:40, 10.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7700520157814026, dino_loss: 0.7109375, depth_loss: 0.06609272956848145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.982079803943634, dino_loss: 0.67578125, depth_loss: 0.06553487479686737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2993/10000 [6:14:02<21:27:07, 11.02s/it]
                                                         
{'loss': 1.6353, 'grad_norm': 1.6708652973175049, 'learning_rate': 4.1974571291725415e-05, 'epoch': 0.03}

 30%|██▉       | 2993/10000 [6:14:02<21:27:07, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0651366710662842, dino_loss: 0.71875, depth_loss: 0.06884560734033585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 2
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7657893896102905, dino_loss: 0.734375, depth_loss: 0.06782720237970352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2994/10000 [6:14:12<21:11:45, 10.89s/it]
                                                         
{'loss': 1.7104, 'grad_norm': 2.045742988586426, 'learning_rate': 4.196850085519879e-05, 'epoch': 0.03}

 30%|██▉       | 2994/10000 [6:14:12<21:11:45, 10.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8290175199508667, dino_loss: 0.640625, depth_loss: 0.04327718913555145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9353516697883606, dino_loss: 0.75, depth_loss: 0.08301696926355362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2995/10000 [6:14:24<21:26:27, 11.02s/it]
                                                         
{'loss': 1.6407, 'grad_norm': 2.8486688137054443, 'learning_rate': 4.1962428563022414e-05, 'epoch': 0.03}

 30%|██▉       | 2995/10000 [6:14:24<21:26:27, 11.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.886419415473938, dino_loss: 0.75, depth_loss: 0.07789242267608643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8776999115943909, dino_loss: 0.69140625, depth_loss: 0.057512324303388596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2996/10000 [6:14:35<21:33:35, 11.08s/it]
                                                         
{'loss': 1.6705, 'grad_norm': 2.2256722450256348, 'learning_rate': 4.1956354415860364e-05, 'epoch': 0.03}

 30%|██▉       | 2996/10000 [6:14:35<21:33:35, 11.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8122401237487793, dino_loss: 0.734375, depth_loss: 0.06339975446462631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.96941077709198, dino_loss: 0.7265625, depth_loss: 0.06718815863132477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2997/10000 [6:14:47<21:51:58, 11.24s/it]
                                                         
{'loss': 1.6867, 'grad_norm': 2.301121711730957, 'learning_rate': 4.1950278414376883e-05, 'epoch': 0.03}

 30%|██▉       | 2997/10000 [6:14:47<21:51:58, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0293573141098022, dino_loss: 0.7109375, depth_loss: 0.06485224515199661, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8366599082946777, dino_loss: 0.6640625, depth_loss: 0.051989294588565826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2998/10000 [6:14:58<21:44:14, 11.18s/it]
                                                         
{'loss': 1.679, 'grad_norm': 1.8929758071899414, 'learning_rate': 4.194420055923644e-05, 'epoch': 0.03}

 30%|██▉       | 2998/10000 [6:14:58<21:44:14, 11.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8440235257148743, dino_loss: 0.69921875, depth_loss: 0.06067335233092308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8201236724853516, dino_loss: 0.64453125, depth_loss: 0.06701056659221649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|██▉       | 2999/10000 [6:15:10<22:15:03, 11.44s/it]
                                                         
{'loss': 1.5678, 'grad_norm': 3.7899744510650635, 'learning_rate': 4.19381208511037e-05, 'epoch': 0.03}

 30%|██▉       | 2999/10000 [6:15:10<22:15:03, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9237051606178284, dino_loss: 0.67578125, depth_loss: 0.07301090657711029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1010268926620483, dino_loss: 0.71484375, depth_loss: 0.051162973046302795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3000/10000 [6:15:21<22:06:53, 11.37s/it]
                                                         
{'loss': 1.7698, 'grad_norm': 1.5454990863800049, 'learning_rate': 4.193203929064353e-05, 'epoch': 0.03}

 30%|███       | 3000/10000 [6:15:21<22:06:53, 11.37s/it]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
/root/miniconda3/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
  warnings.warn(  # warn only once
/root/miniconda3/lib/python3.12/site-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9814698696136475, dino_loss: 1.109375, depth_loss: 0.45218873023986816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9432394504547119, dino_loss: 1.0703125, depth_loss: 0.34795206785202026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3001/10000 [6:16:52<68:23:54, 35.18s/it]
                                                         
{'loss': 6.3536, 'grad_norm': 135.7724151611328, 'learning_rate': 4.192595587852099e-05, 'epoch': 0.03}

 30%|███       | 3001/10000 [6:16:52<68:23:54, 35.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9902358055114746, dino_loss: 1.125, depth_loss: 0.25241899490356445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0043865442276, dino_loss: 1.125, depth_loss: 0.19668036699295044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3002/10000 [6:17:04<55:09:06, 28.37s/it]
                                                         
{'loss': 6.0208, 'grad_norm': 54.463191986083984, 'learning_rate': 4.191987061540138e-05, 'epoch': 0.03}

 30%|███       | 3002/10000 [6:17:04<55:09:06, 28.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9753879308700562, dino_loss: 1.03125, depth_loss: 0.2069992870092392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9196595549583435, dino_loss: 1.0703125, depth_loss: 0.19270168244838715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3003/10000 [6:17:16<45:47:04, 23.56s/it]
                                                         
{'loss': 5.279, 'grad_norm': 36.4810791015625, 'learning_rate': 4.191378350195015e-05, 'epoch': 0.03}

 30%|███       | 3003/10000 [6:17:16<45:47:04, 23.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0545604228973389, dino_loss: 0.9375, depth_loss: 0.1721515655517578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9801286458969116, dino_loss: 0.921875, depth_loss: 0.1884588599205017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3004/10000 [6:17:28<38:59:31, 20.06s/it]
                                                         
{'loss': 6.0139, 'grad_norm': 60.57801818847656, 'learning_rate': 4.190769453883298e-05, 'epoch': 0.03}

 30%|███       | 3004/10000 [6:17:28<38:59:31, 20.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9582763314247131, dino_loss: 0.81640625, depth_loss: 0.13691183924674988, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.059332013130188, dino_loss: 0.84765625, depth_loss: 0.1458335518836975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3005/10000 [6:17:40<33:49:01, 17.40s/it]
                                                         
{'loss': 4.8668, 'grad_norm': 50.58754348754883, 'learning_rate': 4.1901603726715766e-05, 'epoch': 0.03}

 30%|███       | 3005/10000 [6:17:40<33:49:01, 17.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9196183681488037, dino_loss: 0.84765625, depth_loss: 0.1130756363272667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9708954691886902, dino_loss: 0.75, depth_loss: 0.11318633705377579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3006/10000 [6:17:51<30:21:58, 15.63s/it]
                                                         
{'loss': 4.764, 'grad_norm': 84.71070098876953, 'learning_rate': 4.1895511066264576e-05, 'epoch': 0.03}

 30%|███       | 3006/10000 [6:17:51<30:21:58, 15.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.083199143409729, dino_loss: 0.796875, depth_loss: 0.0787430852651596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8764320015907288, dino_loss: 0.8984375, depth_loss: 0.07944603264331818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3007/10000 [6:18:02<27:47:35, 14.31s/it]
                                                         
{'loss': 4.7897, 'grad_norm': 81.87355041503906, 'learning_rate': 4.18894165581457e-05, 'epoch': 0.03}

 30%|███       | 3007/10000 [6:18:02<27:47:35, 14.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8466408848762512, dino_loss: 0.7734375, depth_loss: 0.0846351608633995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0660420656204224, dino_loss: 0.8203125, depth_loss: 0.11634267866611481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3008/10000 [6:18:14<26:05:33, 13.43s/it]
                                                         
{'loss': 4.5798, 'grad_norm': 86.18661499023438, 'learning_rate': 4.188332020302561e-05, 'epoch': 0.03}

 30%|███       | 3008/10000 [6:18:14<26:05:33, 13.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7348551154136658, dino_loss: 0.70703125, depth_loss: 0.09380809962749481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8710107803344727, dino_loss: 0.765625, depth_loss: 0.09876030683517456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3009/10000 [6:18:25<25:02:34, 12.90s/it]
                                                         
{'loss': 4.8092, 'grad_norm': 29.556934356689453, 'learning_rate': 4.187722200157102e-05, 'epoch': 0.03}

 30%|███       | 3009/10000 [6:18:25<25:02:34, 12.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8807312250137329, dino_loss: 0.76171875, depth_loss: 0.08953437954187393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8736469745635986, dino_loss: 0.7109375, depth_loss: 0.07457511126995087, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3010/10000 [6:18:38<24:50:30, 12.79s/it]
                                                         
{'loss': 3.7685, 'grad_norm': 15.70903491973877, 'learning_rate': 4.18711219544488e-05, 'epoch': 0.03}

 30%|███       | 3010/10000 [6:18:38<24:50:30, 12.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8713226318359375, dino_loss: 0.7578125, depth_loss: 0.06437845528125763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9252593517303467, dino_loss: 0.72265625, depth_loss: 0.06811727583408356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3011/10000 [6:18:50<24:21:37, 12.55s/it]
                                                         
{'loss': 3.0208, 'grad_norm': 10.383277893066406, 'learning_rate': 4.186502006232605e-05, 'epoch': 0.03}

 30%|███       | 3011/10000 [6:18:50<24:21:37, 12.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9473544955253601, dino_loss: 0.765625, depth_loss: 0.08129902184009552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7293325662612915, dino_loss: 0.69140625, depth_loss: 0.06592430919408798, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3012/10000 [6:19:01<23:45:36, 12.24s/it]
                                                         
{'loss': 3.4479, 'grad_norm': 14.200499534606934, 'learning_rate': 4.1858916325870065e-05, 'epoch': 0.03}

 30%|███       | 3012/10000 [6:19:01<23:45:36, 12.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8732523918151855, dino_loss: 0.71875, depth_loss: 0.08518873900175095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.977494478225708, dino_loss: 0.74609375, depth_loss: 0.07830239832401276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3013/10000 [6:19:14<23:46:54, 12.25s/it]
                                                         
{'loss': 3.2167, 'grad_norm': 7.067024230957031, 'learning_rate': 4.1852810745748326e-05, 'epoch': 0.03}

 30%|███       | 3013/10000 [6:19:14<23:46:54, 12.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9740020036697388, dino_loss: 0.76953125, depth_loss: 0.08350621163845062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 1.0362380743026733, dino_loss: 0.76171875, depth_loss: 0.05787251889705658, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3014/10000 [6:19:25<23:08:59, 11.93s/it]
                                                         
{'loss': 3.4556, 'grad_norm': 18.172584533691406, 'learning_rate': 4.1846703322628556e-05, 'epoch': 0.03}

 30%|███       | 3014/10000 [6:19:25<23:08:59, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0512893199920654, dino_loss: 0.74609375, depth_loss: 0.0869760811328888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7895858287811279, dino_loss: 0.7265625, depth_loss: 0.061866529285907745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3015/10000 [6:19:37<23:06:26, 11.91s/it]
                                                         
{'loss': 3.3102, 'grad_norm': 10.933493614196777, 'learning_rate': 4.184059405717863e-05, 'epoch': 0.03}

 30%|███       | 3015/10000 [6:19:37<23:06:26, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0988571643829346, dino_loss: 0.734375, depth_loss: 0.07735782116651535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9360471963882446, dino_loss: 0.69921875, depth_loss: 0.061490852385759354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3016/10000 [6:19:49<23:27:27, 12.09s/it]
                                                         
{'loss': 3.1792, 'grad_norm': 8.070881843566895, 'learning_rate': 4.183448295006667e-05, 'epoch': 0.03}

 30%|███       | 3016/10000 [6:19:49<23:27:27, 12.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9419365525245667, dino_loss: 0.70703125, depth_loss: 0.07791002094745636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9031335711479187, dino_loss: 0.71484375, depth_loss: 0.09260943531990051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3017/10000 [6:20:01<23:18:44, 12.02s/it]
                                                         
{'loss': 3.0253, 'grad_norm': 11.816337585449219, 'learning_rate': 4.182837000196095e-05, 'epoch': 0.03}

 30%|███       | 3017/10000 [6:20:01<23:18:44, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1191561222076416, dino_loss: 0.72265625, depth_loss: 0.07035335153341293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.040022373199463, dino_loss: 0.703125, depth_loss: 0.06810639798641205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3018/10000 [6:20:12<23:00:12, 11.86s/it]
                                                         
{'loss': 3.215, 'grad_norm': 18.768280029296875, 'learning_rate': 4.182225521352999e-05, 'epoch': 0.03}

 30%|███       | 3018/10000 [6:20:12<23:00:12, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9601861238479614, dino_loss: 0.7109375, depth_loss: 0.0788445845246315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8793768882751465, dino_loss: 0.6953125, depth_loss: 0.05718829110264778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3019/10000 [6:20:24<22:50:23, 11.78s/it]
                                                         
{'loss': 2.8098, 'grad_norm': 6.541604995727539, 'learning_rate': 4.18161385854425e-05, 'epoch': 0.03}

 30%|███       | 3019/10000 [6:20:24<22:50:23, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8925763368606567, dino_loss: 0.73828125, depth_loss: 0.06947788596153259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0398800373077393, dino_loss: 0.75, depth_loss: 0.0865192860364914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3020/10000 [6:20:36<22:55:32, 11.82s/it]
                                                         
{'loss': 3.0591, 'grad_norm': 6.671482086181641, 'learning_rate': 4.181002011836737e-05, 'epoch': 0.03}

 30%|███       | 3020/10000 [6:20:36<22:55:32, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.924756646156311, dino_loss: 0.6875, depth_loss: 0.07392279803752899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.797572135925293, dino_loss: 0.6953125, depth_loss: 0.07017216831445694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3021/10000 [6:20:48<22:45:54, 11.74s/it]
                                                         
{'loss': 2.6383, 'grad_norm': 13.880634307861328, 'learning_rate': 4.180389981297371e-05, 'epoch': 0.03}

 30%|███       | 3021/10000 [6:20:48<22:45:54, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7340667247772217, dino_loss: 0.70703125, depth_loss: 0.0644022524356842, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0521475076675415, dino_loss: 0.671875, depth_loss: 0.061522163450717926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3022/10000 [6:21:00<23:02:39, 11.89s/it]
                                                         
{'loss': 2.6981, 'grad_norm': 18.87247657775879, 'learning_rate': 4.179777766993084e-05, 'epoch': 0.03}

 30%|███       | 3022/10000 [6:21:00<23:02:39, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.996239185333252, dino_loss: 0.75, depth_loss: 0.08323022723197937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9367654323577881, dino_loss: 0.73828125, depth_loss: 0.054170817136764526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3023/10000 [6:21:12<23:07:39, 11.93s/it]
                                                         
{'loss': 2.702, 'grad_norm': 9.017312049865723, 'learning_rate': 4.1791653689908254e-05, 'epoch': 0.03}

 30%|███       | 3023/10000 [6:21:12<23:07:39, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9179351329803467, dino_loss: 0.7265625, depth_loss: 0.058658573776483536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7870177030563354, dino_loss: 0.64453125, depth_loss: 0.05421597883105278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3024/10000 [6:21:24<22:59:42, 11.87s/it]
                                                         
{'loss': 2.3959, 'grad_norm': 15.867012023925781, 'learning_rate': 4.178552787357567e-05, 'epoch': 0.03}

 30%|███       | 3024/10000 [6:21:24<22:59:42, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1331727504730225, dino_loss: 0.6953125, depth_loss: 0.059846412390470505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9713561534881592, dino_loss: 0.703125, depth_loss: 0.06547033786773682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3025/10000 [6:21:36<23:06:17, 11.93s/it]
                                                         
{'loss': 2.6817, 'grad_norm': 15.83353042602539, 'learning_rate': 4.177940022160299e-05, 'epoch': 0.03}

 30%|███       | 3025/10000 [6:21:36<23:06:17, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8854860067367554, dino_loss: 0.6640625, depth_loss: 0.058865875005722046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8442567586898804, dino_loss: 0.68359375, depth_loss: 0.062406569719314575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3026/10000 [6:21:47<22:47:16, 11.76s/it]
                                                         
{'loss': 2.1476, 'grad_norm': 10.416950225830078, 'learning_rate': 4.177327073466033e-05, 'epoch': 0.03}

 30%|███       | 3026/10000 [6:21:47<22:47:16, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0135498046875, dino_loss: 0.68359375, depth_loss: 0.07437556982040405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7678127288818359, dino_loss: 0.74609375, depth_loss: 0.06650514900684357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3027/10000 [6:21:58<22:35:13, 11.66s/it]
                                                         
{'loss': 2.2164, 'grad_norm': 6.842617034912109, 'learning_rate': 4.1767139413418e-05, 'epoch': 0.03}

 30%|███       | 3027/10000 [6:21:58<22:35:13, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9150481224060059, dino_loss: 0.6796875, depth_loss: 0.05878189951181412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0145808458328247, dino_loss: 0.67578125, depth_loss: 0.08546815067529678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3028/10000 [6:22:10<22:41:07, 11.71s/it]
                                                         
{'loss': 2.4328, 'grad_norm': 4.290499210357666, 'learning_rate': 4.176100625854652e-05, 'epoch': 0.03}

 30%|███       | 3028/10000 [6:22:10<22:41:07, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8891284465789795, dino_loss: 0.65234375, depth_loss: 0.058212872594594955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9613430500030518, dino_loss: 0.70703125, depth_loss: 0.06047740578651428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3029/10000 [6:22:22<22:52:23, 11.81s/it]
                                                         
{'loss': 2.4621, 'grad_norm': 4.508364200592041, 'learning_rate': 4.175487127071659e-05, 'epoch': 0.03}

 30%|███       | 3029/10000 [6:22:22<22:52:23, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7902129292488098, dino_loss: 0.71875, depth_loss: 0.0565967783331871, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8793288469314575, dino_loss: 0.65234375, depth_loss: 0.07569169998168945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3030/10000 [6:22:34<22:48:15, 11.78s/it]
                                                         
{'loss': 1.9944, 'grad_norm': 9.144145965576172, 'learning_rate': 4.174873445059913e-05, 'epoch': 0.03}

 30%|███       | 3030/10000 [6:22:34<22:48:15, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9863326549530029, dino_loss: 0.7109375, depth_loss: 0.06025029346346855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0431737899780273, dino_loss: 0.7265625, depth_loss: 0.08420930057764053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3031/10000 [6:22:46<22:44:08, 11.74s/it]
                                                         
{'loss': 2.4477, 'grad_norm': 5.607731819152832, 'learning_rate': 4.174259579886525e-05, 'epoch': 0.03}

 30%|███       | 3031/10000 [6:22:46<22:44:08, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7326940298080444, dino_loss: 0.70703125, depth_loss: 0.06173759698867798, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.346632719039917, dino_loss: 0.75, depth_loss: 0.07222788780927658, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3032/10000 [6:22:58<22:48:02, 11.78s/it]
                                                         
{'loss': 2.386, 'grad_norm': 6.461306571960449, 'learning_rate': 4.1736455316186265e-05, 'epoch': 0.03}

 30%|███       | 3032/10000 [6:22:58<22:48:02, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0373048782348633, dino_loss: 0.74609375, depth_loss: 0.07050519436597824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8790034055709839, dino_loss: 0.73046875, depth_loss: 0.054438114166259766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3033/10000 [6:23:09<22:37:29, 11.69s/it]
                                                         
{'loss': 2.0667, 'grad_norm': 5.527697563171387, 'learning_rate': 4.173031300323369e-05, 'epoch': 0.03}

 30%|███       | 3033/10000 [6:23:09<22:37:29, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8370299935340881, dino_loss: 0.63671875, depth_loss: 0.05112819746136665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0648609399795532, dino_loss: 0.70703125, depth_loss: 0.06245032325387001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3034/10000 [6:23:22<23:09:29, 11.97s/it]
                                                         
{'loss': 2.5715, 'grad_norm': 3.781141757965088, 'learning_rate': 4.172416886067923e-05, 'epoch': 0.03}

 30%|███       | 3034/10000 [6:23:22<23:09:29, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0510774850845337, dino_loss: 0.6875, depth_loss: 0.07705853879451752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9099387526512146, dino_loss: 0.6953125, depth_loss: 0.06580664217472076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3035/10000 [6:23:34<23:21:02, 12.07s/it]
                                                         
{'loss': 2.7273, 'grad_norm': 4.1180596351623535, 'learning_rate': 4.171802288919482e-05, 'epoch': 0.03}

 30%|███       | 3035/10000 [6:23:34<23:21:02, 12.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9412358403205872, dino_loss: 0.75, depth_loss: 0.043515726923942566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9421616196632385, dino_loss: 0.76171875, depth_loss: 0.05505335330963135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3036/10000 [6:23:46<23:07:15, 11.95s/it]
                                                         
{'loss': 2.5204, 'grad_norm': 3.5386273860931396, 'learning_rate': 4.171187508945256e-05, 'epoch': 0.03}

 30%|███       | 3036/10000 [6:23:46<23:07:15, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7832450866699219, dino_loss: 0.66015625, depth_loss: 0.058344364166259766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9335529804229736, dino_loss: 0.7265625, depth_loss: 0.06444837152957916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3037/10000 [6:23:57<23:04:35, 11.93s/it]
                                                         
{'loss': 2.4741, 'grad_norm': 3.746774911880493, 'learning_rate': 4.170572546212477e-05, 'epoch': 0.03}

 30%|███       | 3037/10000 [6:23:57<23:04:35, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.9257817268371582, dino_loss: 0.8046875, depth_loss: 0.07905913889408112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9163055419921875, dino_loss: 0.69140625, depth_loss: 0.07432348281145096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3038/10000 [6:24:10<23:10:52, 11.99s/it]
                                                         
{'loss': 2.4428, 'grad_norm': 2.453432083129883, 'learning_rate': 4.169957400788395e-05, 'epoch': 0.03}

 30%|███       | 3038/10000 [6:24:10<23:10:52, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8910117149353027, dino_loss: 0.75, depth_loss: 0.06194697320461273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7991034984588623, dino_loss: 0.66015625, depth_loss: 0.05003216117620468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3039/10000 [6:24:21<23:00:02, 11.90s/it]
                                                         
{'loss': 2.0024, 'grad_norm': 2.2987678050994873, 'learning_rate': 4.169342072740283e-05, 'epoch': 0.03}

 30%|███       | 3039/10000 [6:24:21<23:00:02, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8489806652069092, dino_loss: 0.703125, depth_loss: 0.06261216104030609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7226696014404297, dino_loss: 0.69140625, depth_loss: 0.05824996531009674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3040/10000 [6:24:33<22:45:06, 11.77s/it]
                                                         
{'loss': 1.8486, 'grad_norm': 2.8574602603912354, 'learning_rate': 4.1687265621354314e-05, 'epoch': 0.03}

 30%|███       | 3040/10000 [6:24:33<22:45:06, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.768936038017273, dino_loss: 0.6796875, depth_loss: 0.050969671458005905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9377579689025879, dino_loss: 0.65625, depth_loss: 0.053381141275167465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3041/10000 [6:24:44<22:28:56, 11.63s/it]
                                                         
{'loss': 2.1255, 'grad_norm': 2.6134111881256104, 'learning_rate': 4.1681108690411526e-05, 'epoch': 0.03}

 30%|███       | 3041/10000 [6:24:44<22:28:56, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9774811267852783, dino_loss: 0.76171875, depth_loss: 0.06303288042545319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9173225164413452, dino_loss: 0.6875, depth_loss: 0.07567638158798218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3042/10000 [6:24:55<22:16:47, 11.53s/it]
                                                         
{'loss': 1.9692, 'grad_norm': 3.9120614528656006, 'learning_rate': 4.1674949935247767e-05, 'epoch': 0.03}

 30%|███       | 3042/10000 [6:24:55<22:16:47, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0298891067504883, dino_loss: 0.6640625, depth_loss: 0.055128686130046844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9163897037506104, dino_loss: 0.69140625, depth_loss: 0.07313968986272812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3043/10000 [6:25:07<22:12:07, 11.49s/it]
                                                         
{'loss': 1.9746, 'grad_norm': 4.289495468139648, 'learning_rate': 4.166878935653655e-05, 'epoch': 0.03}

 30%|███       | 3043/10000 [6:25:07<22:12:07, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9552590250968933, dino_loss: 0.734375, depth_loss: 0.07828482985496521, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9845694899559021, dino_loss: 0.6953125, depth_loss: 0.06192643940448761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3044/10000 [6:25:19<22:35:01, 11.69s/it]
                                                         
{'loss': 2.3627, 'grad_norm': 3.1982650756835938, 'learning_rate': 4.166262695495159e-05, 'epoch': 0.03}

 30%|███       | 3044/10000 [6:25:19<22:35:01, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8774056434631348, dino_loss: 0.7109375, depth_loss: 0.05389663204550743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8713404536247253, dino_loss: 0.69140625, depth_loss: 0.0617934875190258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3045/10000 [6:25:30<22:31:12, 11.66s/it]
                                                         
{'loss': 2.2751, 'grad_norm': 2.2008779048919678, 'learning_rate': 4.165646273116681e-05, 'epoch': 0.03}

 30%|███       | 3045/10000 [6:25:30<22:31:12, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1216533184051514, dino_loss: 0.71484375, depth_loss: 0.051833998411893845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.878393292427063, dino_loss: 0.69140625, depth_loss: 0.06423477828502655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3046/10000 [6:25:42<22:28:14, 11.63s/it]
                                                         
{'loss': 2.1649, 'grad_norm': 3.8142881393432617, 'learning_rate': 4.165029668585629e-05, 'epoch': 0.03}

 30%|███       | 3046/10000 [6:25:42<22:28:14, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0961495637893677, dino_loss: 0.765625, depth_loss: 0.061396367847919464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8620963096618652, dino_loss: 0.73828125, depth_loss: 0.056405726820230484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3047/10000 [6:25:53<22:16:31, 11.53s/it]
                                                         
{'loss': 2.3398, 'grad_norm': 3.549370765686035, 'learning_rate': 4.164412881969437e-05, 'epoch': 0.03}

 30%|███       | 3047/10000 [6:25:53<22:16:31, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9887887239456177, dino_loss: 0.73046875, depth_loss: 0.07152022421360016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8163530826568604, dino_loss: 0.7265625, depth_loss: 0.06199447065591812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3048/10000 [6:26:05<22:29:36, 11.65s/it]
                                                         
{'loss': 2.3667, 'grad_norm': 3.9788920879364014, 'learning_rate': 4.1637959133355544e-05, 'epoch': 0.03}

 30%|███       | 3048/10000 [6:26:05<22:29:36, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.016121506690979, dino_loss: 0.73828125, depth_loss: 0.06587088853120804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.840729832649231, dino_loss: 0.7578125, depth_loss: 0.06832423061132431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3049/10000 [6:26:16<22:13:49, 11.51s/it]
                                                         
{'loss': 1.9104, 'grad_norm': 3.608315944671631, 'learning_rate': 4.163178762751452e-05, 'epoch': 0.03}

 30%|███       | 3049/10000 [6:26:16<22:13:49, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8834735155105591, dino_loss: 0.65625, depth_loss: 0.058389607816934586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7962706089019775, dino_loss: 0.60546875, depth_loss: 0.06764990836381912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 30%|███       | 3050/10000 [6:26:28<22:25:02, 11.61s/it]
                                                         
{'loss': 1.7725, 'grad_norm': 2.2390122413635254, 'learning_rate': 4.16256143028462e-05, 'epoch': 0.03}

 30%|███       | 3050/10000 [6:26:28<22:25:02, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.055168867111206, dino_loss: 0.76171875, depth_loss: 0.07178936898708344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8882445693016052, dino_loss: 0.62890625, depth_loss: 0.06370408833026886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3051/10000 [6:26:40<22:28:23, 11.64s/it]
                                                         
{'loss': 2.2837, 'grad_norm': 2.953160285949707, 'learning_rate': 4.1619439160025717e-05, 'epoch': 0.03}

 31%|███       | 3051/10000 [6:26:40<22:28:23, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8325634002685547, dino_loss: 0.64453125, depth_loss: 0.061733923852443695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7610958218574524, dino_loss: 0.69921875, depth_loss: 0.04762373864650726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3052/10000 [6:26:51<22:17:22, 11.55s/it]
                                                         
{'loss': 1.7542, 'grad_norm': 5.7963666915893555, 'learning_rate': 4.161326219972833e-05, 'epoch': 0.03}

 31%|███       | 3052/10000 [6:26:51<22:17:22, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.959597110748291, dino_loss: 0.72265625, depth_loss: 0.06119021028280258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9278485774993896, dino_loss: 0.6796875, depth_loss: 0.05817606300115585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3053/10000 [6:27:03<22:10:34, 11.49s/it]
                                                         
{'loss': 2.1032, 'grad_norm': 4.081873893737793, 'learning_rate': 4.1607083422629586e-05, 'epoch': 0.03}

 31%|███       | 3053/10000 [6:27:03<22:10:34, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9723496437072754, dino_loss: 0.72265625, depth_loss: 0.05944595858454704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9034567475318909, dino_loss: 0.80859375, depth_loss: 0.06207145377993584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3054/10000 [6:27:14<22:15:41, 11.54s/it]
                                                         
{'loss': 2.2658, 'grad_norm': 3.4368042945861816, 'learning_rate': 4.160090282940516e-05, 'epoch': 0.03}

 31%|███       | 3054/10000 [6:27:14<22:15:41, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9251784682273865, dino_loss: 0.703125, depth_loss: 0.05733317881822586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.904788613319397, dino_loss: 0.66015625, depth_loss: 0.06467505544424057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3055/10000 [6:27:27<22:39:22, 11.74s/it]
                                                         
{'loss': 2.3619, 'grad_norm': 3.2621724605560303, 'learning_rate': 4.159472042073096e-05, 'epoch': 0.03}

 31%|███       | 3055/10000 [6:27:27<22:39:22, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8410852551460266, dino_loss: 0.703125, depth_loss: 0.0696815699338913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8519816398620605, dino_loss: 0.68359375, depth_loss: 0.05533483251929283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3056/10000 [6:27:38<22:35:14, 11.71s/it]
                                                         
{'loss': 2.2763, 'grad_norm': 3.3290679454803467, 'learning_rate': 4.1588536197283076e-05, 'epoch': 0.03}

 31%|███       | 3056/10000 [6:27:38<22:35:14, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9653210043907166, dino_loss: 0.71875, depth_loss: 0.0625338926911354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7904332876205444, dino_loss: 0.74609375, depth_loss: 0.0706532746553421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3057/10000 [6:27:49<22:11:36, 11.51s/it]
                                                         
{'loss': 1.8041, 'grad_norm': 5.220732688903809, 'learning_rate': 4.1582350159737824e-05, 'epoch': 0.03}

 31%|███       | 3057/10000 [6:27:49<22:11:36, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.8750253319740295, dino_loss: 0.6796875, depth_loss: 0.05531695485115051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0925869941711426, dino_loss: 0.67578125, depth_loss: 0.0668284147977829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3058/10000 [6:28:00<22:01:10, 11.42s/it]
                                                         
{'loss': 2.1651, 'grad_norm': 3.2432384490966797, 'learning_rate': 4.157616230877169e-05, 'epoch': 0.03}

 31%|███       | 3058/10000 [6:28:00<22:01:10, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9837952852249146, dino_loss: 0.71875, depth_loss: 0.056024953722953796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0506742000579834, dino_loss: 0.71875, depth_loss: 0.059791505336761475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3059/10000 [6:28:14<22:58:17, 11.91s/it]
                                                         
{'loss': 2.662, 'grad_norm': 3.3695921897888184, 'learning_rate': 4.156997264506136e-05, 'epoch': 0.03}

 31%|███       | 3059/10000 [6:28:14<22:58:17, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.023409366607666, dino_loss: 0.6796875, depth_loss: 0.06510478258132935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9276506304740906, dino_loss: 0.6953125, depth_loss: 0.06250450015068054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3060/10000 [6:28:25<22:45:49, 11.81s/it]
                                                         
{'loss': 2.1453, 'grad_norm': 4.940070152282715, 'learning_rate': 4.156378116928375e-05, 'epoch': 0.03}

 31%|███       | 3060/10000 [6:28:25<22:45:49, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0260199308395386, dino_loss: 0.72265625, depth_loss: 0.0634710043668747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8788248896598816, dino_loss: 0.7421875, depth_loss: 0.07258298993110657, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3061/10000 [6:28:36<22:28:02, 11.66s/it]
                                                         
{'loss': 2.3067, 'grad_norm': 2.400968551635742, 'learning_rate': 4.1557587882115915e-05, 'epoch': 0.03}

 31%|███       | 3061/10000 [6:28:36<22:28:02, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8813974857330322, dino_loss: 0.71875, depth_loss: 0.06814343482255936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8482204079627991, dino_loss: 0.66015625, depth_loss: 0.08297386765480042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3062/10000 [6:28:48<22:39:32, 11.76s/it]
                                                         
{'loss': 1.9182, 'grad_norm': 5.897618770599365, 'learning_rate': 4.155139278423518e-05, 'epoch': 0.03}

 31%|███       | 3062/10000 [6:28:48<22:39:32, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9644443988800049, dino_loss: 0.74609375, depth_loss: 0.08863888680934906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.851880669593811, dino_loss: 0.7109375, depth_loss: 0.06453724205493927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3063/10000 [6:29:00<22:44:08, 11.80s/it]
                                                         
{'loss': 2.3826, 'grad_norm': 6.553978443145752, 'learning_rate': 4.1545195876319e-05, 'epoch': 0.03}

 31%|███       | 3063/10000 [6:29:00<22:44:08, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9480326175689697, dino_loss: 0.73828125, depth_loss: 0.09800422936677933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8288784623146057, dino_loss: 0.70703125, depth_loss: 0.062400802969932556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3064/10000 [6:29:12<22:49:11, 11.84s/it]
                                                         
{'loss': 2.1553, 'grad_norm': 4.258237361907959, 'learning_rate': 4.153899715904508e-05, 'epoch': 0.03}

 31%|███       | 3064/10000 [6:29:12<22:49:11, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0047314167022705, dino_loss: 0.671875, depth_loss: 0.07034963369369507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0035597085952759, dino_loss: 0.69140625, depth_loss: 0.06424476206302643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3065/10000 [6:29:24<22:52:08, 11.87s/it]
                                                         
{'loss': 2.7671, 'grad_norm': 2.4722869396209717, 'learning_rate': 4.1532796633091296e-05, 'epoch': 0.03}

 31%|███       | 3065/10000 [6:29:24<22:52:08, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0546685457229614, dino_loss: 0.703125, depth_loss: 0.07554563879966736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7184368371963501, dino_loss: 0.73828125, depth_loss: 0.06728102266788483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3066/10000 [6:29:36<22:35:06, 11.73s/it]
                                                         
{'loss': 2.1522, 'grad_norm': 2.186767578125, 'learning_rate': 4.1526594299135737e-05, 'epoch': 0.03}

 31%|███       | 3066/10000 [6:29:36<22:35:06, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9925328493118286, dino_loss: 0.76171875, depth_loss: 0.06758531183004379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9959235787391663, dino_loss: 0.7578125, depth_loss: 0.09457763284444809, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3067/10000 [6:29:48<22:51:45, 11.87s/it]
                                                         
{'loss': 2.4181, 'grad_norm': 3.626065254211426, 'learning_rate': 4.152039015785667e-05, 'epoch': 0.03}

 31%|███       | 3067/10000 [6:29:48<22:51:45, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9060525894165039, dino_loss: 0.7265625, depth_loss: 0.07429137825965881, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0233300924301147, dino_loss: 0.75, depth_loss: 0.06697176396846771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3068/10000 [6:29:59<22:20:50, 11.61s/it]
                                                         
{'loss': 2.3971, 'grad_norm': 2.640831470489502, 'learning_rate': 4.151418420993256e-05, 'epoch': 0.03}

 31%|███       | 3068/10000 [6:29:59<22:20:50, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8237457871437073, dino_loss: 0.65234375, depth_loss: 0.057585109025239944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 1.0577538013458252, dino_loss: 0.66796875, depth_loss: 0.06242213025689125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3069/10000 [6:30:11<22:30:48, 11.69s/it]
                                                         
{'loss': 2.5903, 'grad_norm': 4.29745626449585, 'learning_rate': 4.150797645604211e-05, 'epoch': 0.03}

 31%|███       | 3069/10000 [6:30:11<22:30:48, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9087554216384888, dino_loss: 0.6953125, depth_loss: 0.07273987680673599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8575001955032349, dino_loss: 0.703125, depth_loss: 0.07080972194671631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3070/10000 [6:30:22<22:15:47, 11.57s/it]
                                                         
{'loss': 1.6627, 'grad_norm': 4.164549827575684, 'learning_rate': 4.150176689686417e-05, 'epoch': 0.03}

 31%|███       | 3070/10000 [6:30:22<22:15:47, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8851442337036133, dino_loss: 0.72265625, depth_loss: 0.0634240210056305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1008490324020386, dino_loss: 0.7109375, depth_loss: 0.07308036088943481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3071/10000 [6:30:33<21:59:38, 11.43s/it]
                                                         
{'loss': 2.202, 'grad_norm': 9.698097229003906, 'learning_rate': 4.14955555330778e-05, 'epoch': 0.03}

 31%|███       | 3071/10000 [6:30:33<21:59:38, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9782004356384277, dino_loss: 0.66796875, depth_loss: 0.06574245542287827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9725361466407776, dino_loss: 0.6875, depth_loss: 0.0834844633936882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3072/10000 [6:30:46<22:36:33, 11.75s/it]
                                                         
{'loss': 2.3066, 'grad_norm': 4.5446295738220215, 'learning_rate': 4.148934236536229e-05, 'epoch': 0.03}

 31%|███       | 3072/10000 [6:30:46<22:36:33, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8273874521255493, dino_loss: 0.6796875, depth_loss: 0.06023123860359192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1525110006332397, dino_loss: 0.76171875, depth_loss: 0.06930109113454819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3073/10000 [6:30:57<22:32:00, 11.71s/it]
                                                         
{'loss': 2.3692, 'grad_norm': 2.985602855682373, 'learning_rate': 4.148312739439708e-05, 'epoch': 0.03}

 31%|███       | 3073/10000 [6:30:57<22:32:00, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9582834243774414, dino_loss: 0.7734375, depth_loss: 0.07312151044607162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9404866099357605, dino_loss: 0.6796875, depth_loss: 0.05798656865954399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3074/10000 [6:31:09<22:27:30, 11.67s/it]
                                                         
{'loss': 2.2292, 'grad_norm': 1.844948172569275, 'learning_rate': 4.147691062086185e-05, 'epoch': 0.03}

 31%|███       | 3074/10000 [6:31:09<22:27:30, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9056476354598999, dino_loss: 0.69921875, depth_loss: 0.07223261892795563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8327025771141052, dino_loss: 0.703125, depth_loss: 0.05096263810992241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3075/10000 [6:31:21<22:39:49, 11.78s/it]
                                                         
{'loss': 2.2065, 'grad_norm': 2.936692476272583, 'learning_rate': 4.147069204543645e-05, 'epoch': 0.03}

 31%|███       | 3075/10000 [6:31:21<22:39:49, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.91319739818573, dino_loss: 0.73828125, depth_loss: 0.07389097660779953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0548954010009766, dino_loss: 0.72265625, depth_loss: 0.05446368828415871, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3076/10000 [6:31:32<22:32:12, 11.72s/it]
                                                         
{'loss': 2.0149, 'grad_norm': 3.246051549911499, 'learning_rate': 4.146447166880093e-05, 'epoch': 0.03}

 31%|███       | 3076/10000 [6:31:32<22:32:12, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0544137954711914, dino_loss: 0.7109375, depth_loss: 0.07664956152439117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0203640460968018, dino_loss: 0.74609375, depth_loss: 0.08065920323133469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3077/10000 [6:31:44<22:42:39, 11.81s/it]
                                                         
{'loss': 2.4045, 'grad_norm': 8.493091583251953, 'learning_rate': 4.145824949163554e-05, 'epoch': 0.03}

 31%|███       | 3077/10000 [6:31:44<22:42:39, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9648652076721191, dino_loss: 0.73046875, depth_loss: 0.07295583188533783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 2
seg_loss: 0.8697993755340576, dino_loss: 0.71875, depth_loss: 0.06794687360525131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3078/10000 [6:31:56<22:27:17, 11.68s/it]
                                                         
{'loss': 1.7581, 'grad_norm': 6.711370468139648, 'learning_rate': 4.145202551462072e-05, 'epoch': 0.03}

 31%|███       | 3078/10000 [6:31:56<22:27:17, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0000193119049072, dino_loss: 0.7734375, depth_loss: 0.07256076484918594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.939165472984314, dino_loss: 0.68359375, depth_loss: 0.06574036180973053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3079/10000 [6:32:08<22:45:18, 11.84s/it]
                                                         
{'loss': 2.158, 'grad_norm': 2.0546460151672363, 'learning_rate': 4.1445799738437136e-05, 'epoch': 0.03}

 31%|███       | 3079/10000 [6:32:08<22:45:18, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9791243076324463, dino_loss: 0.71875, depth_loss: 0.07320718467235565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8697822093963623, dino_loss: 0.69921875, depth_loss: 0.06537853181362152, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3080/10000 [6:32:19<22:32:48, 11.73s/it]
                                                         
{'loss': 2.2073, 'grad_norm': 4.889733791351318, 'learning_rate': 4.143957216376561e-05, 'epoch': 0.03}

 31%|███       | 3080/10000 [6:32:19<22:32:48, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031404733657837, dino_loss: 0.65625, depth_loss: 0.07486944645643234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8435626029968262, dino_loss: 0.6640625, depth_loss: 0.04874524101614952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3081/10000 [6:32:31<22:25:37, 11.67s/it]
                                                         
{'loss': 1.8511, 'grad_norm': 3.652509927749634, 'learning_rate': 4.14333427912872e-05, 'epoch': 0.03}

 31%|███       | 3081/10000 [6:32:31<22:25:37, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9953603744506836, dino_loss: 0.70703125, depth_loss: 0.05686400085687637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8296337127685547, dino_loss: 0.65625, depth_loss: 0.04418376460671425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3082/10000 [6:32:43<22:23:12, 11.65s/it]
                                                         
{'loss': 2.1237, 'grad_norm': 28.932723999023438, 'learning_rate': 4.1427111621683123e-05, 'epoch': 0.03}

 31%|███       | 3082/10000 [6:32:43<22:23:12, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8874931931495667, dino_loss: 0.7421875, depth_loss: 0.06662478297948837, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7936896681785583, dino_loss: 0.7265625, depth_loss: 0.06476964801549911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3083/10000 [6:32:54<22:32:23, 11.73s/it]
                                                         
{'loss': 2.4553, 'grad_norm': 2.872149705886841, 'learning_rate': 4.142087865563482e-05, 'epoch': 0.03}

 31%|███       | 3083/10000 [6:32:54<22:32:23, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.044752836227417, dino_loss: 0.68359375, depth_loss: 0.06889636069536209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9464912414550781, dino_loss: 0.68359375, depth_loss: 0.06317023932933807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3084/10000 [6:33:06<22:20:14, 11.63s/it]
                                                         
{'loss': 2.2326, 'grad_norm': 2.5270729064941406, 'learning_rate': 4.1414643893823914e-05, 'epoch': 0.03}

 31%|███       | 3084/10000 [6:33:06<22:20:14, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9056437015533447, dino_loss: 0.71875, depth_loss: 0.07558587193489075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8830955624580383, dino_loss: 0.6875, depth_loss: 0.06362366676330566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3085/10000 [6:33:18<22:34:05, 11.75s/it]
                                                         
{'loss': 2.572, 'grad_norm': 3.750194549560547, 'learning_rate': 4.140840733693223e-05, 'epoch': 0.03}

 31%|███       | 3085/10000 [6:33:18<22:34:05, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7198666334152222, dino_loss: 0.72265625, depth_loss: 0.0926891565322876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8198345899581909, dino_loss: 0.671875, depth_loss: 0.06261607259511948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3086/10000 [6:33:30<22:35:35, 11.76s/it]
                                                         
{'loss': 1.8662, 'grad_norm': 1.9113059043884277, 'learning_rate': 4.1402168985641785e-05, 'epoch': 0.03}

 31%|███       | 3086/10000 [6:33:30<22:35:35, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1434537172317505, dino_loss: 0.7109375, depth_loss: 0.06479187309741974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.944057047367096, dino_loss: 0.71875, depth_loss: 0.05928869545459747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3087/10000 [6:33:42<22:40:40, 11.81s/it]
                                                         
{'loss': 2.2566, 'grad_norm': 2.114607572555542, 'learning_rate': 4.139592884063481e-05, 'epoch': 0.03}

 31%|███       | 3087/10000 [6:33:42<22:40:40, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.954636812210083, dino_loss: 0.73828125, depth_loss: 0.05991324037313461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9578834772109985, dino_loss: 0.7265625, depth_loss: 0.058717913925647736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3088/10000 [6:33:53<22:27:25, 11.70s/it]
                                                         
{'loss': 2.1242, 'grad_norm': 2.556340217590332, 'learning_rate': 4.1389686902593704e-05, 'epoch': 0.03}

 31%|███       | 3088/10000 [6:33:53<22:27:25, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0790497064590454, dino_loss: 0.7109375, depth_loss: 0.06429993361234665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8760877847671509, dino_loss: 0.6953125, depth_loss: 0.06662251800298691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3089/10000 [6:34:05<22:47:23, 11.87s/it]
                                                         
{'loss': 2.5831, 'grad_norm': 4.419093132019043, 'learning_rate': 4.138344317220108e-05, 'epoch': 0.03}

 31%|███       | 3089/10000 [6:34:05<22:47:23, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8653973340988159, dino_loss: 0.66015625, depth_loss: 0.0615387000143528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8092889785766602, dino_loss: 0.625, depth_loss: 0.05187199264764786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3090/10000 [6:34:17<22:51:44, 11.91s/it]
                                                         
{'loss': 2.0162, 'grad_norm': 3.969512462615967, 'learning_rate': 4.137719765013974e-05, 'epoch': 0.03}

 31%|███       | 3090/10000 [6:34:17<22:51:44, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7557182908058167, dino_loss: 0.65234375, depth_loss: 0.0571533739566803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9120908975601196, dino_loss: 0.7109375, depth_loss: 0.07823789864778519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3091/10000 [6:34:29<22:50:02, 11.90s/it]
                                                         
{'loss': 1.7223, 'grad_norm': 4.240414619445801, 'learning_rate': 4.137095033709268e-05, 'epoch': 0.03}

 31%|███       | 3091/10000 [6:34:29<22:50:02, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9009982347488403, dino_loss: 0.75, depth_loss: 0.06363321840763092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8928951025009155, dino_loss: 0.66796875, depth_loss: 0.07262545824050903, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3092/10000 [6:34:41<22:45:07, 11.86s/it]
                                                         
{'loss': 2.2151, 'grad_norm': 4.162209510803223, 'learning_rate': 4.136470123374312e-05, 'epoch': 0.03}

 31%|███       | 3092/10000 [6:34:41<22:45:07, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0209929943084717, dino_loss: 0.7109375, depth_loss: 0.08912213891744614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8457221984863281, dino_loss: 0.6484375, depth_loss: 0.0577942430973053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3093/10000 [6:34:54<23:28:58, 12.24s/it]
                                                         
{'loss': 2.2194, 'grad_norm': 3.1405136585235596, 'learning_rate': 4.135845034077444e-05, 'epoch': 0.03}

 31%|███       | 3093/10000 [6:34:54<23:28:58, 12.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9769706130027771, dino_loss: 0.6953125, depth_loss: 0.06942649930715561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 1.0659347772598267, dino_loss: 0.66796875, depth_loss: 0.05078186094760895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3094/10000 [6:35:06<23:34:07, 12.29s/it]
                                                         
{'loss': 2.5085, 'grad_norm': 3.116030216217041, 'learning_rate': 4.135219765887021e-05, 'epoch': 0.03}

 31%|███       | 3094/10000 [6:35:06<23:34:07, 12.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9597640037536621, dino_loss: 0.70703125, depth_loss: 0.06436970084905624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0399610996246338, dino_loss: 0.71875, depth_loss: 0.060960423201322556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3095/10000 [6:35:18<23:22:08, 12.18s/it]
                                                         
{'loss': 2.371, 'grad_norm': 1.7920465469360352, 'learning_rate': 4.134594318871423e-05, 'epoch': 0.03}

 31%|███       | 3095/10000 [6:35:18<23:22:08, 12.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8449516892433167, dino_loss: 0.734375, depth_loss: 0.05471498891711235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.860136091709137, dino_loss: 0.71875, depth_loss: 0.06761997193098068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3096/10000 [6:35:30<23:07:10, 12.06s/it]
                                                         
{'loss': 2.2948, 'grad_norm': 3.294434070587158, 'learning_rate': 4.133968693099048e-05, 'epoch': 0.03}

 31%|███       | 3096/10000 [6:35:30<23:07:10, 12.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9526280164718628, dino_loss: 0.7578125, depth_loss: 0.06763425469398499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8618308901786804, dino_loss: 0.64453125, depth_loss: 0.05923637002706528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3097/10000 [6:35:42<23:00:41, 12.00s/it]
                                                         
{'loss': 2.1576, 'grad_norm': 4.317754745483398, 'learning_rate': 4.133342888638314e-05, 'epoch': 0.03}

 31%|███       | 3097/10000 [6:35:42<23:00:41, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9279007911682129, dino_loss: 0.68359375, depth_loss: 0.06744740158319473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9275804162025452, dino_loss: 0.71484375, depth_loss: 0.06721562892198563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3098/10000 [6:35:53<22:40:01, 11.82s/it]
                                                         
{'loss': 1.9702, 'grad_norm': 2.5512516498565674, 'learning_rate': 4.132716905557658e-05, 'epoch': 0.03}

 31%|███       | 3098/10000 [6:35:53<22:40:01, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9074435830116272, dino_loss: 0.6796875, depth_loss: 0.07205915451049805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9161800146102905, dino_loss: 0.7734375, depth_loss: 0.0723118931055069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3099/10000 [6:36:06<22:47:59, 11.89s/it]
                                                         
{'loss': 2.5757, 'grad_norm': 2.659698963165283, 'learning_rate': 4.132090743925535e-05, 'epoch': 0.03}

 31%|███       | 3099/10000 [6:36:06<22:47:59, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.008793592453003, dino_loss: 0.734375, depth_loss: 0.07799071073532104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8309009671211243, dino_loss: 0.7421875, depth_loss: 0.08827577531337738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3100/10000 [6:36:17<22:33:40, 11.77s/it]
                                                         
{'loss': 2.3534, 'grad_norm': 1.8489782810211182, 'learning_rate': 4.131464403810422e-05, 'epoch': 0.03}

 31%|███       | 3100/10000 [6:36:17<22:33:40, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0439057350158691, dino_loss: 0.7421875, depth_loss: 0.0815894603729248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7013261318206787, dino_loss: 0.65625, depth_loss: 0.06089715659618378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3101/10000 [6:36:29<22:46:06, 11.88s/it]
                                                         
{'loss': 2.5712, 'grad_norm': 2.7966580390930176, 'learning_rate': 4.1308378852808146e-05, 'epoch': 0.03}

 31%|███       | 3101/10000 [6:36:29<22:46:06, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9461320042610168, dino_loss: 0.69140625, depth_loss: 0.06850875914096832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0762581825256348, dino_loss: 0.7265625, depth_loss: 0.07215258479118347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3102/10000 [6:36:40<22:17:38, 11.64s/it]
                                                         
{'loss': 2.1104, 'grad_norm': 1.7534781694412231, 'learning_rate': 4.130211188405229e-05, 'epoch': 0.03}

 31%|███       | 3102/10000 [6:36:40<22:17:38, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7398301362991333, dino_loss: 0.67578125, depth_loss: 0.051483552902936935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0476105213165283, dino_loss: 0.69140625, depth_loss: 0.05039709061384201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3103/10000 [6:36:52<22:08:08, 11.55s/it]
                                                         
{'loss': 2.1772, 'grad_norm': 1.5903842449188232, 'learning_rate': 4.1295843132521973e-05, 'epoch': 0.03}

 31%|███       | 3103/10000 [6:36:52<22:08:08, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0091139078140259, dino_loss: 0.76171875, depth_loss: 0.06388282775878906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8757660388946533, dino_loss: 0.72265625, depth_loss: 0.058767274022102356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3104/10000 [6:37:03<22:00:40, 11.49s/it]
                                                         
{'loss': 2.0307, 'grad_norm': 6.024909019470215, 'learning_rate': 4.128957259890276e-05, 'epoch': 0.03}

 31%|███       | 3104/10000 [6:37:03<22:00:40, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8431965708732605, dino_loss: 0.65625, depth_loss: 0.048901356756687164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9116420745849609, dino_loss: 0.6796875, depth_loss: 0.05414297804236412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3105/10000 [6:37:15<22:26:44, 11.72s/it]
                                                         
{'loss': 2.2325, 'grad_norm': 2.0594589710235596, 'learning_rate': 4.128330028388038e-05, 'epoch': 0.03}

 31%|███       | 3105/10000 [6:37:15<22:26:44, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.00269615650177, dino_loss: 0.73828125, depth_loss: 0.0693005844950676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0481195449829102, dino_loss: 0.6953125, depth_loss: 0.0687667727470398, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3106/10000 [6:37:27<22:36:29, 11.81s/it]
                                                         
{'loss': 2.7739, 'grad_norm': 3.653573989868164, 'learning_rate': 4.127702618814075e-05, 'epoch': 0.03}

 31%|███       | 3106/10000 [6:37:27<22:36:29, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9404822587966919, dino_loss: 0.71875, depth_loss: 0.07297545671463013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8748255968093872, dino_loss: 0.7109375, depth_loss: 0.0640416145324707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3107/10000 [6:37:39<22:33:26, 11.78s/it]
                                                         
{'loss': 2.1942, 'grad_norm': 3.4572913646698, 'learning_rate': 4.1270750312370024e-05, 'epoch': 0.03}

 31%|███       | 3107/10000 [6:37:39<22:33:26, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7879681587219238, dino_loss: 0.70703125, depth_loss: 0.06684890389442444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9521881937980652, dino_loss: 0.73046875, depth_loss: 0.06698927283287048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3108/10000 [6:37:51<22:42:55, 11.87s/it]
                                                         
{'loss': 1.959, 'grad_norm': 2.4217231273651123, 'learning_rate': 4.12644726572545e-05, 'epoch': 0.03}

 31%|███       | 3108/10000 [6:37:51<22:42:55, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9867810010910034, dino_loss: 0.74609375, depth_loss: 0.06237155199050903, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9509137272834778, dino_loss: 0.70703125, depth_loss: 0.09482201188802719, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3109/10000 [6:38:02<22:31:22, 11.77s/it]
                                                         
{'loss': 2.2499, 'grad_norm': 3.619243621826172, 'learning_rate': 4.1258193223480704e-05, 'epoch': 0.03}

 31%|███       | 3109/10000 [6:38:02<22:31:22, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0083085298538208, dino_loss: 0.67578125, depth_loss: 0.056286126375198364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1592949628829956, dino_loss: 0.71875, depth_loss: 0.06425558775663376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3110/10000 [6:38:15<23:06:20, 12.07s/it]
                                                         
{'loss': 2.6729, 'grad_norm': 4.133096218109131, 'learning_rate': 4.1251912011735326e-05, 'epoch': 0.03}

 31%|███       | 3110/10000 [6:38:15<23:06:20, 12.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9920292496681213, dino_loss: 0.7421875, depth_loss: 0.071770578622818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9150402545928955, dino_loss: 0.7734375, depth_loss: 0.07124214619398117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3111/10000 [6:38:27<22:45:29, 11.89s/it]
                                                         
{'loss': 2.344, 'grad_norm': 3.5101542472839355, 'learning_rate': 4.1245629022705304e-05, 'epoch': 0.03}

 31%|███       | 3111/10000 [6:38:27<22:45:29, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9121487140655518, dino_loss: 0.7109375, depth_loss: 0.05122609809041023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8437529802322388, dino_loss: 0.671875, depth_loss: 0.06492583453655243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3112/10000 [6:38:38<22:08:06, 11.57s/it]
                                                         
{'loss': 1.9983, 'grad_norm': 2.8258419036865234, 'learning_rate': 4.123934425707771e-05, 'epoch': 0.03}

 31%|███       | 3112/10000 [6:38:38<22:08:06, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9240777492523193, dino_loss: 0.64453125, depth_loss: 0.05888613685965538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9473148584365845, dino_loss: 0.73828125, depth_loss: 0.06374537944793701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3113/10000 [6:38:49<21:58:59, 11.49s/it]
                                                         
{'loss': 2.6333, 'grad_norm': 1.6894919872283936, 'learning_rate': 4.1233057715539836e-05, 'epoch': 0.03}

 31%|███       | 3113/10000 [6:38:49<21:58:59, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8074531555175781, dino_loss: 0.671875, depth_loss: 0.05436861515045166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9331517815589905, dino_loss: 0.74609375, depth_loss: 0.07928232103586197, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3114/10000 [6:39:00<21:55:02, 11.46s/it]
                                                         
{'loss': 1.9825, 'grad_norm': 7.51069974899292, 'learning_rate': 4.1226769398779186e-05, 'epoch': 0.03}

 31%|███       | 3114/10000 [6:39:00<21:55:02, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8229746222496033, dino_loss: 0.66015625, depth_loss: 0.09617449343204498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9332159161567688, dino_loss: 0.7109375, depth_loss: 0.05995336174964905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3115/10000 [6:39:12<21:47:57, 11.40s/it]
                                                         
{'loss': 1.73, 'grad_norm': 2.2276382446289062, 'learning_rate': 4.122047930748343e-05, 'epoch': 0.03}

 31%|███       | 3115/10000 [6:39:12<21:47:57, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8940107226371765, dino_loss: 0.7109375, depth_loss: 0.06010812520980835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8351232409477234, dino_loss: 0.64453125, depth_loss: 0.05598600208759308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3116/10000 [6:39:23<21:47:28, 11.40s/it]
                                                         
{'loss': 2.3657, 'grad_norm': 2.0561842918395996, 'learning_rate': 4.121418744234043e-05, 'epoch': 0.03}

 31%|███       | 3116/10000 [6:39:23<21:47:28, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9273046255111694, dino_loss: 0.74609375, depth_loss: 0.07408435642719269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.903903067111969, dino_loss: 0.71875, depth_loss: 0.058461323380470276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3117/10000 [6:39:34<21:42:48, 11.36s/it]
                                                         
{'loss': 2.1004, 'grad_norm': 3.0995891094207764, 'learning_rate': 4.120789380403829e-05, 'epoch': 0.03}

 31%|███       | 3117/10000 [6:39:34<21:42:48, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9554665088653564, dino_loss: 0.6484375, depth_loss: 0.07431159913539886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.070131540298462, dino_loss: 0.70703125, depth_loss: 0.06411471962928772, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3118/10000 [6:39:46<21:54:37, 11.46s/it]
                                                         
{'loss': 2.1232, 'grad_norm': 6.902764320373535, 'learning_rate': 4.1201598393265244e-05, 'epoch': 0.03}

 31%|███       | 3118/10000 [6:39:46<21:54:37, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8754706978797913, dino_loss: 0.6875, depth_loss: 0.05616942048072815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9271498918533325, dino_loss: 0.7265625, depth_loss: 0.07893127202987671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3119/10000 [6:39:58<22:05:24, 11.56s/it]
                                                         
{'loss': 2.3267, 'grad_norm': 3.396804094314575, 'learning_rate': 4.119530121070975e-05, 'epoch': 0.03}

 31%|███       | 3119/10000 [6:39:58<22:05:24, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9580731987953186, dino_loss: 0.71484375, depth_loss: 0.06272749602794647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9749011993408203, dino_loss: 0.77734375, depth_loss: 0.06193101033568382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3120/10000 [6:40:09<21:59:28, 11.51s/it]
                                                         
{'loss': 2.5841, 'grad_norm': 3.929645299911499, 'learning_rate': 4.118900225706047e-05, 'epoch': 0.03}

 31%|███       | 3120/10000 [6:40:09<21:59:28, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9893150925636292, dino_loss: 0.71484375, depth_loss: 0.07404991239309311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9494633674621582, dino_loss: 0.703125, depth_loss: 0.06303352117538452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3121/10000 [6:40:20<21:54:07, 11.46s/it]
                                                         
{'loss': 1.9469, 'grad_norm': 2.1217966079711914, 'learning_rate': 4.118270153300625e-05, 'epoch': 0.03}

 31%|███       | 3121/10000 [6:40:20<21:54:07, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0062705278396606, dino_loss: 0.74609375, depth_loss: 0.062169697135686874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9006818532943726, dino_loss: 0.69140625, depth_loss: 0.06136028468608856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3122/10000 [6:40:32<21:49:01, 11.42s/it]
                                                         
{'loss': 2.2809, 'grad_norm': 2.858370304107666, 'learning_rate': 4.1176399039236116e-05, 'epoch': 0.03}

 31%|███       | 3122/10000 [6:40:32<21:49:01, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8005940318107605, dino_loss: 0.62890625, depth_loss: 0.055330634117126465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8933604955673218, dino_loss: 0.703125, depth_loss: 0.059060998260974884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3123/10000 [6:40:44<22:16:56, 11.66s/it]
                                                         
{'loss': 1.8946, 'grad_norm': 3.0742175579071045, 'learning_rate': 4.1170094776439295e-05, 'epoch': 0.03}

 31%|███       | 3123/10000 [6:40:44<22:16:56, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9273159503936768, dino_loss: 0.6953125, depth_loss: 0.059438347816467285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8024718761444092, dino_loss: 0.69140625, depth_loss: 0.0569692924618721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███       | 3124/10000 [6:40:56<22:20:57, 11.70s/it]
                                                         
{'loss': 2.0857, 'grad_norm': 4.121082782745361, 'learning_rate': 4.116378874530523e-05, 'epoch': 0.03}

 31%|███       | 3124/10000 [6:40:56<22:20:57, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9723021984100342, dino_loss: 0.734375, depth_loss: 0.04917728155851364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7912968397140503, dino_loss: 0.7109375, depth_loss: 0.06329377740621567, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3125/10000 [6:41:08<22:48:08, 11.94s/it]
                                                         
{'loss': 2.3342, 'grad_norm': 1.9653888940811157, 'learning_rate': 4.115748094652352e-05, 'epoch': 0.03}

 31%|███▏      | 3125/10000 [6:41:08<22:48:08, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.896430253982544, dino_loss: 0.73828125, depth_loss: 0.05938363075256348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.946770429611206, dino_loss: 0.68359375, depth_loss: 0.05202627182006836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3126/10000 [6:41:20<22:39:36, 11.87s/it]
                                                         
{'loss': 2.3874, 'grad_norm': 2.297305107116699, 'learning_rate': 4.1151171380784e-05, 'epoch': 0.03}

 31%|███▏      | 3126/10000 [6:41:20<22:39:36, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8398954272270203, dino_loss: 0.67578125, depth_loss: 0.052764419466257095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8935182094573975, dino_loss: 0.6953125, depth_loss: 0.09151244163513184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3127/10000 [6:41:32<22:30:41, 11.79s/it]
                                                         
{'loss': 1.6301, 'grad_norm': 4.029531478881836, 'learning_rate': 4.1144860048776653e-05, 'epoch': 0.03}

 31%|███▏      | 3127/10000 [6:41:32<22:30:41, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9979627728462219, dino_loss: 0.7421875, depth_loss: 0.06818810105323792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8580461740493774, dino_loss: 0.6484375, depth_loss: 0.04759349301457405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3128/10000 [6:41:43<22:24:03, 11.74s/it]
                                                         
{'loss': 2.3426, 'grad_norm': 3.868661403656006, 'learning_rate': 4.1138546951191686e-05, 'epoch': 0.03}

 31%|███▏      | 3128/10000 [6:41:43<22:24:03, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8401721119880676, dino_loss: 0.66015625, depth_loss: 0.0615895539522171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8770520687103271, dino_loss: 0.671875, depth_loss: 0.07596363127231598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3129/10000 [6:41:55<22:19:41, 11.70s/it]
                                                         
{'loss': 2.0033, 'grad_norm': 3.6946258544921875, 'learning_rate': 4.1132232088719484e-05, 'epoch': 0.03}

 31%|███▏      | 3129/10000 [6:41:55<22:19:41, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9255610704421997, dino_loss: 0.72265625, depth_loss: 0.07903329282999039, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0672821998596191, dino_loss: 0.7578125, depth_loss: 0.08263309299945831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3130/10000 [6:42:07<22:29:30, 11.79s/it]
                                                         
{'loss': 2.6546, 'grad_norm': 2.9273486137390137, 'learning_rate': 4.112591546205064e-05, 'epoch': 0.03}

 31%|███▏      | 3130/10000 [6:42:07<22:29:30, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8886998891830444, dino_loss: 0.6328125, depth_loss: 0.06115005910396576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.866227388381958, dino_loss: 0.6484375, depth_loss: 0.04907013848423958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3131/10000 [6:42:19<22:31:49, 11.81s/it]
                                                         
{'loss': 2.3153, 'grad_norm': 3.0620570182800293, 'learning_rate': 4.1119597071875926e-05, 'epoch': 0.03}

 31%|███▏      | 3131/10000 [6:42:19<22:31:49, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9341349601745605, dino_loss: 0.7265625, depth_loss: 0.059914086014032364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8002805113792419, dino_loss: 0.734375, depth_loss: 0.06501851975917816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3132/10000 [6:42:31<22:47:47, 11.95s/it]
                                                         
{'loss': 2.3122, 'grad_norm': 7.146333694458008, 'learning_rate': 4.111327691888631e-05, 'epoch': 0.03}

 31%|███▏      | 3132/10000 [6:42:31<22:47:47, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8573436737060547, dino_loss: 0.68359375, depth_loss: 0.05892307683825493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8779301643371582, dino_loss: 0.67578125, depth_loss: 0.055686987936496735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3133/10000 [6:42:42<22:26:32, 11.77s/it]
                                                         
{'loss': 1.6098, 'grad_norm': 3.594266891479492, 'learning_rate': 4.110695500377295e-05, 'epoch': 0.03}

 31%|███▏      | 3133/10000 [6:42:42<22:26:32, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0424106121063232, dino_loss: 0.7109375, depth_loss: 0.06633340567350388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8993641138076782, dino_loss: 0.75390625, depth_loss: 0.061229586601257324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3134/10000 [6:42:54<22:22:18, 11.73s/it]
                                                         
{'loss': 2.5206, 'grad_norm': 2.7578682899475098, 'learning_rate': 4.110063132722722e-05, 'epoch': 0.03}

 31%|███▏      | 3134/10000 [6:42:54<22:22:18, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9573134183883667, dino_loss: 0.7265625, depth_loss: 0.071710504591465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9934452772140503, dino_loss: 0.7109375, depth_loss: 0.07256988435983658, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3135/10000 [6:43:05<22:10:09, 11.63s/it]
                                                         
{'loss': 2.3234, 'grad_norm': 3.1766514778137207, 'learning_rate': 4.1094305889940646e-05, 'epoch': 0.03}

 31%|███▏      | 3135/10000 [6:43:05<22:10:09, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8970827460289001, dino_loss: 0.71484375, depth_loss: 0.05348236486315727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.858456552028656, dino_loss: 0.69921875, depth_loss: 0.0759468600153923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3136/10000 [6:43:17<22:16:21, 11.68s/it]
                                                         
{'loss': 2.3647, 'grad_norm': 3.224972724914551, 'learning_rate': 4.108797869260498e-05, 'epoch': 0.03}

 31%|███▏      | 3136/10000 [6:43:17<22:16:21, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.035626769065857, dino_loss: 0.77734375, depth_loss: 0.06599010527133942, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9607557058334351, dino_loss: 0.7109375, depth_loss: 0.06408488750457764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3137/10000 [6:43:29<22:34:02, 11.84s/it]
                                                         
{'loss': 2.4751, 'grad_norm': 4.728072643280029, 'learning_rate': 4.1081649735912156e-05, 'epoch': 0.03}

 31%|███▏      | 3137/10000 [6:43:29<22:34:02, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0060784816741943, dino_loss: 0.6953125, depth_loss: 0.06335931271314621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9541531801223755, dino_loss: 0.671875, depth_loss: 0.06158675253391266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3138/10000 [6:43:41<22:46:13, 11.95s/it]
                                                         
{'loss': 2.1588, 'grad_norm': 4.328599452972412, 'learning_rate': 4.1075319020554286e-05, 'epoch': 0.03}

 31%|███▏      | 3138/10000 [6:43:41<22:46:13, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0709763765335083, dino_loss: 0.734375, depth_loss: 0.09364593774080276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8190199136734009, dino_loss: 0.68359375, depth_loss: 0.05272243916988373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3139/10000 [6:43:53<22:43:45, 11.93s/it]
                                                         
{'loss': 2.4872, 'grad_norm': 3.9073257446289062, 'learning_rate': 4.106898654722371e-05, 'epoch': 0.03}

 31%|███▏      | 3139/10000 [6:43:53<22:43:45, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8919450640678406, dino_loss: 0.69140625, depth_loss: 0.08101414889097214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.906186044216156, dino_loss: 0.67578125, depth_loss: 0.06793132424354553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3140/10000 [6:44:05<22:39:34, 11.89s/it]
                                                         
{'loss': 2.255, 'grad_norm': 3.395214080810547, 'learning_rate': 4.106265231661292e-05, 'epoch': 0.03}

 31%|███▏      | 3140/10000 [6:44:05<22:39:34, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9352575540542603, dino_loss: 0.72265625, depth_loss: 0.06612049043178558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9299925565719604, dino_loss: 0.74609375, depth_loss: 0.09169210493564606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3141/10000 [6:44:17<22:23:28, 11.75s/it]
                                                         
{'loss': 2.3922, 'grad_norm': 2.146472454071045, 'learning_rate': 4.1056316329414616e-05, 'epoch': 0.03}

 31%|███▏      | 3141/10000 [6:44:17<22:23:28, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9274069666862488, dino_loss: 0.7109375, depth_loss: 0.07457985728979111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.732986569404602, dino_loss: 0.62109375, depth_loss: 0.0494619756937027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3142/10000 [6:44:28<22:18:04, 11.71s/it]
                                                         
{'loss': 1.8372, 'grad_norm': 2.1184942722320557, 'learning_rate': 4.1049978586321696e-05, 'epoch': 0.03}

 31%|███▏      | 3142/10000 [6:44:28<22:18:04, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8345393538475037, dino_loss: 0.64453125, depth_loss: 0.06417573243379593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8897738456726074, dino_loss: 0.703125, depth_loss: 0.0652165412902832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3143/10000 [6:44:40<22:33:01, 11.84s/it]
                                                         
{'loss': 2.3356, 'grad_norm': 6.116528034210205, 'learning_rate': 4.1043639088027257e-05, 'epoch': 0.03}

 31%|███▏      | 3143/10000 [6:44:40<22:33:01, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8997102379798889, dino_loss: 0.6796875, depth_loss: 0.06443506479263306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9023860692977905, dino_loss: 0.6953125, depth_loss: 0.09001843631267548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3144/10000 [6:44:52<22:12:01, 11.66s/it]
                                                         
{'loss': 1.9156, 'grad_norm': 3.0736284255981445, 'learning_rate': 4.103729783522456e-05, 'epoch': 0.03}

 31%|███▏      | 3144/10000 [6:44:52<22:12:01, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8403007388114929, dino_loss: 0.6484375, depth_loss: 0.06523951143026352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9701490998268127, dino_loss: 0.71484375, depth_loss: 0.06991345435380936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3145/10000 [6:45:03<21:56:34, 11.52s/it]
                                                         
{'loss': 1.8897, 'grad_norm': 1.3594707250595093, 'learning_rate': 4.1030954828607095e-05, 'epoch': 0.03}

 31%|███▏      | 3145/10000 [6:45:03<21:56:34, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7149497270584106, dino_loss: 0.65234375, depth_loss: 0.06020410358905792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.8385626077651978, dino_loss: 0.671875, depth_loss: 0.06033346801996231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3146/10000 [6:45:15<22:27:10, 11.79s/it]
                                                         
{'loss': 2.0458, 'grad_norm': 5.105855464935303, 'learning_rate': 4.102461006886851e-05, 'epoch': 0.03}

 31%|███▏      | 3146/10000 [6:45:15<22:27:10, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.871997058391571, dino_loss: 0.71484375, depth_loss: 0.07071161270141602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9024769067764282, dino_loss: 0.703125, depth_loss: 0.08105942606925964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3147/10000 [6:45:27<22:42:41, 11.93s/it]
                                                         
{'loss': 2.2689, 'grad_norm': 1.7284144163131714, 'learning_rate': 4.101826355670265e-05, 'epoch': 0.03}

 31%|███▏      | 3147/10000 [6:45:27<22:42:41, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8970609903335571, dino_loss: 0.7109375, depth_loss: 0.06157630681991577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9079209566116333, dino_loss: 0.73046875, depth_loss: 0.08642369508743286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3148/10000 [6:45:40<22:53:32, 12.03s/it]
                                                         
{'loss': 2.6112, 'grad_norm': 2.0737178325653076, 'learning_rate': 4.101191529280358e-05, 'epoch': 0.03}

 31%|███▏      | 3148/10000 [6:45:40<22:53:32, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8959681391716003, dino_loss: 0.7265625, depth_loss: 0.05622532218694687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.926437497138977, dino_loss: 0.72265625, depth_loss: 0.05703116953372955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 31%|███▏      | 3149/10000 [6:45:52<22:49:06, 11.99s/it]
                                                         
{'loss': 2.4199, 'grad_norm': 5.824564456939697, 'learning_rate': 4.100556527786552e-05, 'epoch': 0.03}

 31%|███▏      | 3149/10000 [6:45:52<22:49:06, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0362402200698853, dino_loss: 0.72265625, depth_loss: 0.07460812479257584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8930153846740723, dino_loss: 0.6484375, depth_loss: 0.054645705968141556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3150/10000 [6:46:03<22:24:36, 11.78s/it]
                                                         
{'loss': 1.996, 'grad_norm': 3.2998909950256348, 'learning_rate': 4.099921351258292e-05, 'epoch': 0.03}

 32%|███▏      | 3150/10000 [6:46:03<22:24:36, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0486279726028442, dino_loss: 0.7109375, depth_loss: 0.054978400468826294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7955855131149292, dino_loss: 0.63671875, depth_loss: 0.05424411594867706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3151/10000 [6:46:15<22:25:45, 11.79s/it]
                                                         
{'loss': 2.5788, 'grad_norm': 2.3902313709259033, 'learning_rate': 4.099285999765037e-05, 'epoch': 0.03}

 32%|███▏      | 3151/10000 [6:46:15<22:25:45, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9615194201469421, dino_loss: 0.71875, depth_loss: 0.07008597999811172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7439237236976624, dino_loss: 0.64453125, depth_loss: 0.04810670018196106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3152/10000 [6:46:26<22:21:49, 11.76s/it]
                                                         
{'loss': 2.0259, 'grad_norm': 5.454022407531738, 'learning_rate': 4.0986504733762696e-05, 'epoch': 0.03}

 32%|███▏      | 3152/10000 [6:46:26<22:21:49, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9670557379722595, dino_loss: 0.65234375, depth_loss: 0.05644949525594711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9559835195541382, dino_loss: 0.69921875, depth_loss: 0.06740383803844452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3153/10000 [6:46:38<22:22:34, 11.76s/it]
                                                         
{'loss': 1.954, 'grad_norm': 7.306461334228516, 'learning_rate': 4.0980147721614906e-05, 'epoch': 0.03}

 32%|███▏      | 3153/10000 [6:46:38<22:22:34, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0114516019821167, dino_loss: 0.69921875, depth_loss: 0.0560259111225605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8026275038719177, dino_loss: 0.59765625, depth_loss: 0.04518124833703041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3154/10000 [6:46:51<23:03:37, 12.13s/it]
                                                         
{'loss': 2.1068, 'grad_norm': 2.915823221206665, 'learning_rate': 4.0973788961902187e-05, 'epoch': 0.03}

 32%|███▏      | 3154/10000 [6:46:51<23:03:37, 12.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9249573945999146, dino_loss: 0.71875, depth_loss: 0.07441790401935577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.016210913658142, dino_loss: 0.7265625, depth_loss: 0.06652596592903137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3155/10000 [6:47:03<22:48:11, 11.99s/it]
                                                         
{'loss': 2.4833, 'grad_norm': 2.641726016998291, 'learning_rate': 4.0967428455319925e-05, 'epoch': 0.03}

 32%|███▏      | 3155/10000 [6:47:03<22:48:11, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9040048122406006, dino_loss: 0.734375, depth_loss: 0.0774974524974823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9691370725631714, dino_loss: 0.765625, depth_loss: 0.0671735405921936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3156/10000 [6:47:15<22:50:27, 12.01s/it]
                                                         
{'loss': 2.182, 'grad_norm': 2.861387014389038, 'learning_rate': 4.0961066202563684e-05, 'epoch': 0.03}

 32%|███▏      | 3156/10000 [6:47:15<22:50:27, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0930875539779663, dino_loss: 0.71875, depth_loss: 0.08242953568696976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8147157430648804, dino_loss: 0.73046875, depth_loss: 0.07863666117191315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3157/10000 [6:47:27<22:50:32, 12.02s/it]
                                                         
{'loss': 2.6028, 'grad_norm': 2.250025749206543, 'learning_rate': 4.095470220432925e-05, 'epoch': 0.03}

 32%|███▏      | 3157/10000 [6:47:27<22:50:32, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8698552846908569, dino_loss: 0.7265625, depth_loss: 0.0698062926530838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9604342579841614, dino_loss: 0.796875, depth_loss: 0.06849344819784164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3158/10000 [6:47:39<22:52:57, 12.04s/it]
                                                         
{'loss': 2.4293, 'grad_norm': 2.4638288021087646, 'learning_rate': 4.094833646131256e-05, 'epoch': 0.03}

 32%|███▏      | 3158/10000 [6:47:39<22:52:57, 12.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8657264709472656, dino_loss: 0.6484375, depth_loss: 0.05364302173256874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8402960300445557, dino_loss: 0.65625, depth_loss: 0.06984326988458633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3159/10000 [6:47:51<22:50:48, 12.02s/it]
                                                         
{'loss': 1.9744, 'grad_norm': 3.718722105026245, 'learning_rate': 4.094196897420979e-05, 'epoch': 0.03}

 32%|███▏      | 3159/10000 [6:47:51<22:50:48, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9158152937889099, dino_loss: 0.7265625, depth_loss: 0.0861433893442154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9873571991920471, dino_loss: 0.703125, depth_loss: 0.07043404132127762, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3160/10000 [6:48:02<22:29:01, 11.83s/it]
                                                         
{'loss': 1.8625, 'grad_norm': 25.281524658203125, 'learning_rate': 4.093559974371725e-05, 'epoch': 0.03}

 32%|███▏      | 3160/10000 [6:48:02<22:29:01, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1350328922271729, dino_loss: 0.7109375, depth_loss: 0.08086473494768143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0348572731018066, dino_loss: 0.74609375, depth_loss: 0.07630015164613724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3161/10000 [6:48:14<22:11:45, 11.68s/it]
                                                         
{'loss': 2.1938, 'grad_norm': 6.270196437835693, 'learning_rate': 4.092922877053148e-05, 'epoch': 0.03}

 32%|███▏      | 3161/10000 [6:48:14<22:11:45, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8611569404602051, dino_loss: 0.6640625, depth_loss: 0.054200682789087296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8020632863044739, dino_loss: 0.6796875, depth_loss: 0.05591809004545212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3162/10000 [6:48:26<22:16:36, 11.73s/it]
                                                         
{'loss': 1.886, 'grad_norm': 4.165745735168457, 'learning_rate': 4.09228560553492e-05, 'epoch': 0.03}

 32%|███▏      | 3162/10000 [6:48:26<22:16:36, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.931674063205719, dino_loss: 0.70703125, depth_loss: 0.06407813727855682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8670613765716553, dino_loss: 0.69140625, depth_loss: 0.05137200653553009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3163/10000 [6:48:37<22:13:37, 11.70s/it]
                                                         
{'loss': 2.1185, 'grad_norm': 3.8879573345184326, 'learning_rate': 4.091648159886733e-05, 'epoch': 0.03}

 32%|███▏      | 3163/10000 [6:48:37<22:13:37, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8938512802124023, dino_loss: 0.7109375, depth_loss: 0.07142449915409088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9160244464874268, dino_loss: 0.71875, depth_loss: 0.05514662340283394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3164/10000 [6:48:49<22:26:56, 11.82s/it]
                                                         
{'loss': 2.438, 'grad_norm': 1.82013738155365, 'learning_rate': 4.091010540178295e-05, 'epoch': 0.03}

 32%|███▏      | 3164/10000 [6:48:49<22:26:56, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9903911352157593, dino_loss: 0.71484375, depth_loss: 0.06098571792244911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9406692981719971, dino_loss: 0.71875, depth_loss: 0.06391674280166626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3165/10000 [6:49:01<22:07:03, 11.65s/it]
                                                         
{'loss': 2.493, 'grad_norm': 1.5776495933532715, 'learning_rate': 4.090372746479337e-05, 'epoch': 0.03}

 32%|███▏      | 3165/10000 [6:49:01<22:07:03, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8809441328048706, dino_loss: 0.6171875, depth_loss: 0.054053306579589844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9978926181793213, dino_loss: 0.7734375, depth_loss: 0.05014899745583534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3166/10000 [6:49:12<22:03:40, 11.62s/it]
                                                         
{'loss': 2.153, 'grad_norm': 1.2611743211746216, 'learning_rate': 4.0897347788596064e-05, 'epoch': 0.03}

 32%|███▏      | 3166/10000 [6:49:12<22:03:40, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8887799382209778, dino_loss: 0.6953125, depth_loss: 0.07515435665845871, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1084375381469727, dino_loss: 0.70703125, depth_loss: 0.06059211492538452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3167/10000 [6:49:25<22:44:27, 11.98s/it]
                                                         
{'loss': 2.3786, 'grad_norm': 2.1939806938171387, 'learning_rate': 4.0890966373888704e-05, 'epoch': 0.03}

 32%|███▏      | 3167/10000 [6:49:25<22:44:27, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6247630715370178, dino_loss: 0.65234375, depth_loss: 0.04920947924256325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7372696399688721, dino_loss: 0.68359375, depth_loss: 0.05737248808145523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3168/10000 [6:49:37<22:52:47, 12.06s/it]
                                                         
{'loss': 1.6449, 'grad_norm': 1.9290258884429932, 'learning_rate': 4.088458322136916e-05, 'epoch': 0.03}

 32%|███▏      | 3168/10000 [6:49:37<22:52:47, 12.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.00584077835083, dino_loss: 0.71875, depth_loss: 0.0729561597108841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.886375367641449, dino_loss: 0.7109375, depth_loss: 0.05871371179819107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3169/10000 [6:49:49<22:49:08, 12.03s/it]
                                                         
{'loss': 2.3184, 'grad_norm': 3.5956709384918213, 'learning_rate': 4.087819833173547e-05, 'epoch': 0.03}

 32%|███▏      | 3169/10000 [6:49:49<22:49:08, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9876558780670166, dino_loss: 0.71484375, depth_loss: 0.059032946825027466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9618516564369202, dino_loss: 0.765625, depth_loss: 0.06521578878164291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3170/10000 [6:50:00<22:23:54, 11.81s/it]
                                                         
{'loss': 2.1161, 'grad_norm': 2.087033987045288, 'learning_rate': 4.0871811705685883e-05, 'epoch': 0.03}

 32%|███▏      | 3170/10000 [6:50:00<22:23:54, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9440898299217224, dino_loss: 0.69140625, depth_loss: 0.07413611561059952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.924584686756134, dino_loss: 0.6875, depth_loss: 0.051185015588998795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3171/10000 [6:50:12<22:09:26, 11.68s/it]
                                                         
{'loss': 2.3064, 'grad_norm': 1.456331729888916, 'learning_rate': 4.0865423343918836e-05, 'epoch': 0.03}

 32%|███▏      | 3171/10000 [6:50:12<22:09:26, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0450791120529175, dino_loss: 0.71875, depth_loss: 0.06436784565448761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9576981067657471, dino_loss: 0.71875, depth_loss: 0.05407910794019699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3172/10000 [6:50:24<22:22:21, 11.80s/it]
                                                         
{'loss': 2.7429, 'grad_norm': 2.2013280391693115, 'learning_rate': 4.085903324713294e-05, 'epoch': 0.03}

 32%|███▏      | 3172/10000 [6:50:24<22:22:21, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8168537616729736, dino_loss: 0.65625, depth_loss: 0.0465584471821785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8584544658660889, dino_loss: 0.671875, depth_loss: 0.060417547821998596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3173/10000 [6:50:36<22:18:17, 11.76s/it]
                                                         
{'loss': 2.0595, 'grad_norm': 5.154518127441406, 'learning_rate': 4.0852641416027016e-05, 'epoch': 0.03}

 32%|███▏      | 3173/10000 [6:50:36<22:18:17, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8456393480300903, dino_loss: 0.73828125, depth_loss: 0.06834068149328232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8527672290802002, dino_loss: 0.6640625, depth_loss: 0.046198710799217224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3174/10000 [6:50:47<22:18:41, 11.77s/it]
                                                         
{'loss': 2.1323, 'grad_norm': 2.222533702850342, 'learning_rate': 4.084624785130006e-05, 'epoch': 0.03}

 32%|███▏      | 3174/10000 [6:50:47<22:18:41, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0120189189910889, dino_loss: 0.6796875, depth_loss: 0.055081844329833984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7910484671592712, dino_loss: 0.69140625, depth_loss: 0.05399462580680847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3175/10000 [6:51:00<22:57:54, 12.11s/it]
                                                         
{'loss': 2.7251, 'grad_norm': 1.7030072212219238, 'learning_rate': 4.0839852553651265e-05, 'epoch': 0.03}

 32%|███▏      | 3175/10000 [6:51:00<22:57:54, 12.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6614944338798523, dino_loss: 0.6328125, depth_loss: 0.0502457469701767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9086044430732727, dino_loss: 0.67578125, depth_loss: 0.06899964064359665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3176/10000 [6:51:12<23:02:59, 12.16s/it]
                                                         
{'loss': 1.8338, 'grad_norm': 2.576911687850952, 'learning_rate': 4.0833455523780006e-05, 'epoch': 0.03}

 32%|███▏      | 3176/10000 [6:51:13<23:02:59, 12.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7988592982292175, dino_loss: 0.7265625, depth_loss: 0.057877570390701294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 2
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1389086246490479, dino_loss: 0.70703125, depth_loss: 0.0675254762172699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3177/10000 [6:51:25<23:03:20, 12.16s/it]
                                                         
{'loss': 2.0339, 'grad_norm': 5.397729873657227, 'learning_rate': 4.0827056762385855e-05, 'epoch': 0.03}

 32%|███▏      | 3177/10000 [6:51:25<23:03:20, 12.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8929734230041504, dino_loss: 0.765625, depth_loss: 0.09357795119285583, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0015712976455688, dino_loss: 0.70703125, depth_loss: 0.0769357904791832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3178/10000 [6:51:37<23:04:05, 12.17s/it]
                                                         
{'loss': 2.4926, 'grad_norm': 3.148986577987671, 'learning_rate': 4.082065627016858e-05, 'epoch': 0.03}

 32%|███▏      | 3178/10000 [6:51:37<23:04:05, 12.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9100010395050049, dino_loss: 0.7421875, depth_loss: 0.06132946535944939, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8471877574920654, dino_loss: 0.6796875, depth_loss: 0.0700063407421112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3179/10000 [6:51:49<23:00:52, 12.15s/it]
                                                         
{'loss': 2.5945, 'grad_norm': 2.2512733936309814, 'learning_rate': 4.0814254047828116e-05, 'epoch': 0.03}

 32%|███▏      | 3179/10000 [6:51:49<23:00:52, 12.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8243045210838318, dino_loss: 0.67578125, depth_loss: 0.08100785315036774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0624277591705322, dino_loss: 0.70703125, depth_loss: 0.07193776220083237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3180/10000 [6:52:00<22:39:09, 11.96s/it]
                                                         
{'loss': 2.339, 'grad_norm': 2.6186039447784424, 'learning_rate': 4.0807850096064605e-05, 'epoch': 0.03}

 32%|███▏      | 3180/10000 [6:52:00<22:39:09, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9719418287277222, dino_loss: 0.6953125, depth_loss: 0.05495403707027435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8140761256217957, dino_loss: 0.6875, depth_loss: 0.05890161544084549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3181/10000 [6:52:12<22:28:06, 11.86s/it]
                                                         
{'loss': 2.2584, 'grad_norm': 3.490780830383301, 'learning_rate': 4.080144441557837e-05, 'epoch': 0.03}

 32%|███▏      | 3181/10000 [6:52:12<22:28:06, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8105636239051819, dino_loss: 0.66015625, depth_loss: 0.05527804046869278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8643687963485718, dino_loss: 0.69140625, depth_loss: 0.07707858830690384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3182/10000 [6:52:24<22:31:57, 11.90s/it]
                                                         
{'loss': 1.9852, 'grad_norm': 2.951359987258911, 'learning_rate': 4.079503700706994e-05, 'epoch': 0.03}

 32%|███▏      | 3182/10000 [6:52:24<22:31:57, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8318867683410645, dino_loss: 0.6640625, depth_loss: 0.05035736411809921, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9127963781356812, dino_loss: 0.6796875, depth_loss: 0.06007491424679756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3183/10000 [6:52:35<22:14:10, 11.74s/it]
                                                         
{'loss': 2.0303, 'grad_norm': 3.944993495941162, 'learning_rate': 4.078862787124e-05, 'epoch': 0.03}

 32%|███▏      | 3183/10000 [6:52:35<22:14:10, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8566850423812866, dino_loss: 0.6875, depth_loss: 0.06547166407108307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.94404536485672, dino_loss: 0.67578125, depth_loss: 0.06729119271039963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3184/10000 [6:52:46<21:49:08, 11.52s/it]
                                                         
{'loss': 1.9391, 'grad_norm': 6.184193134307861, 'learning_rate': 4.078221700878946e-05, 'epoch': 0.03}

 32%|███▏      | 3184/10000 [6:52:46<21:49:08, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.96790611743927, dino_loss: 0.7109375, depth_loss: 0.06990658491849899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9895152449607849, dino_loss: 0.73046875, depth_loss: 0.06701041758060455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3185/10000 [6:52:58<21:42:23, 11.47s/it]
                                                         
{'loss': 2.323, 'grad_norm': 5.249210357666016, 'learning_rate': 4.0775804420419404e-05, 'epoch': 0.03}

 32%|███▏      | 3185/10000 [6:52:58<21:42:23, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9041581153869629, dino_loss: 0.703125, depth_loss: 0.05737597495317459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9073138236999512, dino_loss: 0.64453125, depth_loss: 0.05298136547207832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3186/10000 [6:53:10<21:50:13, 11.54s/it]
                                                         
{'loss': 2.0577, 'grad_norm': 2.322014093399048, 'learning_rate': 4.0769390106831084e-05, 'epoch': 0.03}

 32%|███▏      | 3186/10000 [6:53:10<21:50:13, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9831705093383789, dino_loss: 0.71484375, depth_loss: 0.0720662921667099, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0403281450271606, dino_loss: 0.73046875, depth_loss: 0.06666988879442215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3187/10000 [6:53:21<21:53:53, 11.57s/it]
                                                         
{'loss': 2.5096, 'grad_norm': 4.3748884201049805, 'learning_rate': 4.076297406872598e-05, 'epoch': 0.03}

 32%|███▏      | 3187/10000 [6:53:21<21:53:53, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7916589975357056, dino_loss: 0.6796875, depth_loss: 0.06496264785528183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9364336133003235, dino_loss: 0.7109375, depth_loss: 0.0651482492685318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3188/10000 [6:53:34<22:23:24, 11.83s/it]
                                                         
{'loss': 2.4378, 'grad_norm': 5.298952102661133, 'learning_rate': 4.075655630680572e-05, 'epoch': 0.03}

 32%|███▏      | 3188/10000 [6:53:34<22:23:24, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.860223114490509, dino_loss: 0.7265625, depth_loss: 0.0719124972820282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 2
the number of masks: 8
the number of masks: 8
seg_loss: 0.9830402135848999, dino_loss: 0.71484375, depth_loss: 0.05910690501332283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3189/10000 [6:53:46<22:55:01, 12.11s/it]
                                                         
{'loss': 2.5241, 'grad_norm': 3.002617120742798, 'learning_rate': 4.0750136821772155e-05, 'epoch': 0.03}

 32%|███▏      | 3189/10000 [6:53:46<22:55:01, 12.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1543502807617188, dino_loss: 0.7265625, depth_loss: 0.06592089682817459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9331663846969604, dino_loss: 0.734375, depth_loss: 0.08331970125436783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3190/10000 [6:53:58<22:22:52, 11.83s/it]
                                                         
{'loss': 2.2691, 'grad_norm': 2.2093453407287598, 'learning_rate': 4.0743715614327317e-05, 'epoch': 0.03}

 32%|███▏      | 3190/10000 [6:53:58<22:22:52, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9182871580123901, dino_loss: 0.69140625, depth_loss: 0.060124509036540985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.8018870949745178, dino_loss: 0.6328125, depth_loss: 0.06268610060214996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3191/10000 [6:54:10<22:30:54, 11.90s/it]
                                                         
{'loss': 1.5893, 'grad_norm': 2.6728267669677734, 'learning_rate': 4.07372926851734e-05, 'epoch': 0.03}

 32%|███▏      | 3191/10000 [6:54:10<22:30:54, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0592272281646729, dino_loss: 0.6796875, depth_loss: 0.07162639498710632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8992552757263184, dino_loss: 0.6796875, depth_loss: 0.06306353956460953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3192/10000 [6:54:21<22:29:29, 11.89s/it]
                                                         
{'loss': 2.425, 'grad_norm': 1.891292691230774, 'learning_rate': 4.073086803501282e-05, 'epoch': 0.03}

 32%|███▏      | 3192/10000 [6:54:21<22:29:29, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.989094614982605, dino_loss: 0.703125, depth_loss: 0.07047149538993835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8769747018814087, dino_loss: 0.64453125, depth_loss: 0.058304332196712494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3193/10000 [6:54:34<22:49:16, 12.07s/it]
                                                         
{'loss': 2.5587, 'grad_norm': 3.9382266998291016, 'learning_rate': 4.0724441664548154e-05, 'epoch': 0.03}

 32%|███▏      | 3193/10000 [6:54:34<22:49:16, 12.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8797122836112976, dino_loss: 0.75390625, depth_loss: 0.05507563054561615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9055523872375488, dino_loss: 0.72265625, depth_loss: 0.07703077793121338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3194/10000 [6:54:46<22:35:59, 11.95s/it]
                                                         
{'loss': 2.3195, 'grad_norm': 3.898611545562744, 'learning_rate': 4.0718013574482195e-05, 'epoch': 0.03}

 32%|███▏      | 3194/10000 [6:54:46<22:35:59, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9669620394706726, dino_loss: 0.69140625, depth_loss: 0.06905565410852432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9104663729667664, dino_loss: 0.69140625, depth_loss: 0.06387588381767273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3195/10000 [6:54:57<22:23:12, 11.84s/it]
                                                         
{'loss': 2.0366, 'grad_norm': 4.770773887634277, 'learning_rate': 4.07115837655179e-05, 'epoch': 0.03}

 32%|███▏      | 3195/10000 [6:54:57<22:23:12, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7254508137702942, dino_loss: 0.69921875, depth_loss: 0.05677681416273117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8683724403381348, dino_loss: 0.65625, depth_loss: 0.0601191446185112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3196/10000 [6:55:09<22:29:17, 11.90s/it]
                                                         
{'loss': 2.2337, 'grad_norm': 2.057278871536255, 'learning_rate': 4.070515223835843e-05, 'epoch': 0.03}

 32%|███▏      | 3196/10000 [6:55:09<22:29:17, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0300556421279907, dino_loss: 0.6953125, depth_loss: 0.05960246920585632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9381979703903198, dino_loss: 0.734375, depth_loss: 0.06963551044464111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3197/10000 [6:55:21<22:11:58, 11.75s/it]
                                                         
{'loss': 2.2443, 'grad_norm': 2.090843677520752, 'learning_rate': 4.069871899370713e-05, 'epoch': 0.03}

 32%|███▏      | 3197/10000 [6:55:21<22:11:58, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7819715142250061, dino_loss: 0.6875, depth_loss: 0.0764862596988678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7568134069442749, dino_loss: 0.66015625, depth_loss: 0.06645894050598145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3198/10000 [6:55:32<22:07:16, 11.71s/it]
                                                         
{'loss': 2.0806, 'grad_norm': 2.8579909801483154, 'learning_rate': 4.0692284032267516e-05, 'epoch': 0.03}

 32%|███▏      | 3198/10000 [6:55:32<22:07:16, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9786496162414551, dino_loss: 0.72265625, depth_loss: 0.08237441629171371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9440450668334961, dino_loss: 0.7109375, depth_loss: 0.07747501134872437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3199/10000 [6:55:43<21:46:21, 11.52s/it]
                                                         
{'loss': 1.9982, 'grad_norm': 2.38395357131958, 'learning_rate': 4.068584735474331e-05, 'epoch': 0.03}

 32%|███▏      | 3199/10000 [6:55:43<21:46:21, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9325193166732788, dino_loss: 0.75390625, depth_loss: 0.06104234606027603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7531718611717224, dino_loss: 0.63671875, depth_loss: 0.060393333435058594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3200/10000 [6:55:55<21:44:23, 11.51s/it]
                                                         
{'loss': 2.2506, 'grad_norm': 2.35599684715271, 'learning_rate': 4.067940896183843e-05, 'epoch': 0.03}

 32%|███▏      | 3200/10000 [6:55:55<21:44:23, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7216057181358337, dino_loss: 0.68359375, depth_loss: 0.06213623285293579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0668836832046509, dino_loss: 0.703125, depth_loss: 0.05688727647066116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3201/10000 [6:56:07<21:52:19, 11.58s/it]
                                                         
{'loss': 1.95, 'grad_norm': 3.413475751876831, 'learning_rate': 4.067296885425695e-05, 'epoch': 0.03}

 32%|███▏      | 3201/10000 [6:56:07<21:52:19, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0729467868804932, dino_loss: 0.6796875, depth_loss: 0.0588347390294075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8818513751029968, dino_loss: 0.68359375, depth_loss: 0.053838830441236496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3202/10000 [6:56:19<22:15:33, 11.79s/it]
                                                         
{'loss': 2.5609, 'grad_norm': 4.1837382316589355, 'learning_rate': 4.0666527032703164e-05, 'epoch': 0.03}

 32%|███▏      | 3202/10000 [6:56:19<22:15:33, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.712421178817749, dino_loss: 0.671875, depth_loss: 0.04920356720685959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9596984386444092, dino_loss: 0.7265625, depth_loss: 0.07553650438785553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3203/10000 [6:56:30<22:05:43, 11.70s/it]
                                                         
{'loss': 1.6075, 'grad_norm': 3.1332669258117676, 'learning_rate': 4.066008349788154e-05, 'epoch': 0.03}

 32%|███▏      | 3203/10000 [6:56:30<22:05:43, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0217031240463257, dino_loss: 0.703125, depth_loss: 0.07268819957971573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1083351373672485, dino_loss: 0.76171875, depth_loss: 0.07282952219247818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3204/10000 [6:56:42<21:47:58, 11.55s/it]
                                                         
{'loss': 2.1677, 'grad_norm': 5.490208625793457, 'learning_rate': 4.065363825049673e-05, 'epoch': 0.03}

 32%|███▏      | 3204/10000 [6:56:42<21:47:58, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0362640619277954, dino_loss: 0.73828125, depth_loss: 0.07269435375928879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9423234462738037, dino_loss: 0.7109375, depth_loss: 0.06493624299764633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3205/10000 [6:56:53<21:39:37, 11.48s/it]
                                                         
{'loss': 2.0938, 'grad_norm': 2.524735450744629, 'learning_rate': 4.064719129125356e-05, 'epoch': 0.03}

 32%|███▏      | 3205/10000 [6:56:53<21:39:37, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.028266191482544, dino_loss: 0.6796875, depth_loss: 0.05495874583721161, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6810348033905029, dino_loss: 0.625, depth_loss: 0.05215749889612198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3206/10000 [6:57:04<21:38:16, 11.47s/it]
                                                         
{'loss': 1.9425, 'grad_norm': 4.464412689208984, 'learning_rate': 4.064074262085709e-05, 'epoch': 0.03}

 32%|███▏      | 3206/10000 [6:57:04<21:38:16, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9774467945098877, dino_loss: 0.69140625, depth_loss: 0.07016636431217194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.959179162979126, dino_loss: 0.69140625, depth_loss: 0.05757659301161766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3207/10000 [6:57:16<21:36:12, 11.45s/it]
                                                         
{'loss': 2.2747, 'grad_norm': 3.7332651615142822, 'learning_rate': 4.063429224001252e-05, 'epoch': 0.03}

 32%|███▏      | 3207/10000 [6:57:16<21:36:12, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.877078115940094, dino_loss: 0.6953125, depth_loss: 0.055808454751968384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9579567909240723, dino_loss: 0.71484375, depth_loss: 0.057735249400138855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3208/10000 [6:57:28<21:52:25, 11.59s/it]
                                                         
{'loss': 2.4281, 'grad_norm': 2.3687844276428223, 'learning_rate': 4.062784014942526e-05, 'epoch': 0.03}

 32%|███▏      | 3208/10000 [6:57:28<21:52:25, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7928007245063782, dino_loss: 0.64453125, depth_loss: 0.053723737597465515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0985902547836304, dino_loss: 0.72265625, depth_loss: 0.0637744665145874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3209/10000 [6:57:39<21:47:23, 11.55s/it]
                                                         
{'loss': 2.1687, 'grad_norm': 5.703395366668701, 'learning_rate': 4.0621386349800896e-05, 'epoch': 0.03}

 32%|███▏      | 3209/10000 [6:57:39<21:47:23, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0325438976287842, dino_loss: 0.6875, depth_loss: 0.06120343133807182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0422896146774292, dino_loss: 0.69921875, depth_loss: 0.06786670535802841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3210/10000 [6:57:50<21:41:29, 11.50s/it]
                                                         
{'loss': 2.1517, 'grad_norm': 1.5913361310958862, 'learning_rate': 4.06149308418452e-05, 'epoch': 0.03}

 32%|███▏      | 3210/10000 [6:57:50<21:41:29, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1207609176635742, dino_loss: 0.6796875, depth_loss: 0.07065406441688538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7947391271591187, dino_loss: 0.71875, depth_loss: 0.05687825009226799, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3211/10000 [6:58:02<21:46:30, 11.55s/it]
                                                         
{'loss': 1.9842, 'grad_norm': 5.980081558227539, 'learning_rate': 4.0608473626264145e-05, 'epoch': 0.03}

 32%|███▏      | 3211/10000 [6:58:02<21:46:30, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.918700098991394, dino_loss: 0.6640625, depth_loss: 0.04966755211353302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7938829660415649, dino_loss: 0.6328125, depth_loss: 0.056003667414188385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3212/10000 [6:58:14<22:01:09, 11.68s/it]
                                                         
{'loss': 2.0252, 'grad_norm': 3.758589744567871, 'learning_rate': 4.060201470376389e-05, 'epoch': 0.03}

 32%|███▏      | 3212/10000 [6:58:14<22:01:09, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9362808465957642, dino_loss: 0.7265625, depth_loss: 0.06565462052822113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8377267122268677, dino_loss: 0.71875, depth_loss: 0.06275394558906555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3213/10000 [6:58:26<22:04:28, 11.71s/it]
                                                         
{'loss': 1.9601, 'grad_norm': 10.888694763183594, 'learning_rate': 4.0595554075050753e-05, 'epoch': 0.03}

 32%|███▏      | 3213/10000 [6:58:26<22:04:28, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0101081132888794, dino_loss: 0.70703125, depth_loss: 0.05956830829381943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0237929821014404, dino_loss: 0.73046875, depth_loss: 0.0879330188035965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3214/10000 [6:58:37<21:53:20, 11.61s/it]
                                                         
{'loss': 2.5406, 'grad_norm': 1.8630120754241943, 'learning_rate': 4.058909174083129e-05, 'epoch': 0.03}

 32%|███▏      | 3214/10000 [6:58:37<21:53:20, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8954151272773743, dino_loss: 0.6875, depth_loss: 0.07016448676586151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9255585670471191, dino_loss: 0.6953125, depth_loss: 0.05925280973315239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3215/10000 [6:58:49<22:06:25, 11.73s/it]
                                                         
{'loss': 2.3633, 'grad_norm': 4.058117866516113, 'learning_rate': 4.058262770181217e-05, 'epoch': 0.03}

 32%|███▏      | 3215/10000 [6:58:49<22:06:25, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1255192756652832, dino_loss: 0.703125, depth_loss: 0.08554335683584213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9466288089752197, dino_loss: 0.69140625, depth_loss: 0.06168747693300247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3216/10000 [6:59:01<22:14:48, 11.81s/it]
                                                         
{'loss': 2.5063, 'grad_norm': 5.592693328857422, 'learning_rate': 4.057616195870032e-05, 'epoch': 0.03}

 32%|███▏      | 3216/10000 [6:59:01<22:14:48, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8739287257194519, dino_loss: 0.7421875, depth_loss: 0.06781473010778427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9719831347465515, dino_loss: 0.72265625, depth_loss: 0.06551564484834671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3217/10000 [6:59:14<22:35:53, 11.99s/it]
                                                         
{'loss': 2.905, 'grad_norm': 3.1954994201660156, 'learning_rate': 4.056969451220282e-05, 'epoch': 0.03}

 32%|███▏      | 3217/10000 [6:59:14<22:35:53, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7378463745117188, dino_loss: 0.6328125, depth_loss: 0.050290267914533615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8917955160140991, dino_loss: 0.6796875, depth_loss: 0.049814701080322266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3218/10000 [6:59:26<22:35:46, 11.99s/it]
                                                         
{'loss': 1.8467, 'grad_norm': 3.0192174911499023, 'learning_rate': 4.056322536302693e-05, 'epoch': 0.03}

 32%|███▏      | 3218/10000 [6:59:26<22:35:46, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9173780083656311, dino_loss: 0.72265625, depth_loss: 0.06388481706380844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8639255166053772, dino_loss: 0.671875, depth_loss: 0.08028285205364227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3219/10000 [6:59:38<22:43:49, 12.07s/it]
                                                         
{'loss': 2.158, 'grad_norm': 1.3952512741088867, 'learning_rate': 4.0556754511880115e-05, 'epoch': 0.03}

 32%|███▏      | 3219/10000 [6:59:38<22:43:49, 12.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9811029434204102, dino_loss: 0.71484375, depth_loss: 0.08557146787643433, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.174893856048584, dino_loss: 0.69921875, depth_loss: 0.0547017864882946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3220/10000 [6:59:50<22:40:31, 12.04s/it]
                                                         
{'loss': 2.3032, 'grad_norm': 5.021033763885498, 'learning_rate': 4.0550281959470023e-05, 'epoch': 0.03}

 32%|███▏      | 3220/10000 [6:59:50<22:40:31, 12.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7859247326850891, dino_loss: 0.640625, depth_loss: 0.05235625058412552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9393223524093628, dino_loss: 0.703125, depth_loss: 0.0639837458729744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3221/10000 [7:00:02<22:26:19, 11.92s/it]
                                                         
{'loss': 2.2034, 'grad_norm': 1.853379726409912, 'learning_rate': 4.0543807706504464e-05, 'epoch': 0.03}

 32%|███▏      | 3221/10000 [7:00:02<22:26:19, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0277867317199707, dino_loss: 0.67578125, depth_loss: 0.059988971799612045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.004753589630127, dino_loss: 0.734375, depth_loss: 0.060537148267030716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3222/10000 [7:00:13<22:21:52, 11.88s/it]
                                                         
{'loss': 2.3309, 'grad_norm': 8.941792488098145, 'learning_rate': 4.0537331753691475e-05, 'epoch': 0.03}

 32%|███▏      | 3222/10000 [7:00:13<22:21:52, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8861685991287231, dino_loss: 0.69140625, depth_loss: 0.06020696461200714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7458623647689819, dino_loss: 0.7109375, depth_loss: 0.06291020661592484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3223/10000 [7:00:25<22:11:57, 11.79s/it]
                                                         
{'loss': 1.8451, 'grad_norm': 2.2990055084228516, 'learning_rate': 4.053085410173924e-05, 'epoch': 0.03}

 32%|███▏      | 3223/10000 [7:00:25<22:11:57, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8278632760047913, dino_loss: 0.65625, depth_loss: 0.057807713747024536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0281565189361572, dino_loss: 0.7578125, depth_loss: 0.06764957308769226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3224/10000 [7:00:36<21:59:46, 11.69s/it]
                                                         
{'loss': 2.0079, 'grad_norm': 2.0122616291046143, 'learning_rate': 4.0524374751356154e-05, 'epoch': 0.03}

 32%|███▏      | 3224/10000 [7:00:36<21:59:46, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.991482138633728, dino_loss: 0.6484375, depth_loss: 0.05251554399728775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8759989142417908, dino_loss: 0.76171875, depth_loss: 0.06606468558311462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3225/10000 [7:00:48<22:03:36, 11.72s/it]
                                                         
{'loss': 2.212, 'grad_norm': 4.179080009460449, 'learning_rate': 4.051789370325078e-05, 'epoch': 0.03}

 32%|███▏      | 3225/10000 [7:00:48<22:03:36, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9341795444488525, dino_loss: 0.69140625, depth_loss: 0.06987040489912033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6955047845840454, dino_loss: 0.6875, depth_loss: 0.05462506413459778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3226/10000 [7:01:00<22:15:12, 11.83s/it]
                                                         
{'loss': 2.1327, 'grad_norm': 2.0777862071990967, 'learning_rate': 4.051141095813189e-05, 'epoch': 0.03}

 32%|███▏      | 3226/10000 [7:01:00<22:15:12, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9688615798950195, dino_loss: 0.6796875, depth_loss: 0.04164857044816017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.889339804649353, dino_loss: 0.75390625, depth_loss: 0.06872112303972244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3227/10000 [7:01:12<22:04:49, 11.74s/it]
                                                         
{'loss': 2.0647, 'grad_norm': 1.5539637804031372, 'learning_rate': 4.050492651670841e-05, 'epoch': 0.03}

 32%|███▏      | 3227/10000 [7:01:12<22:04:49, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8036998510360718, dino_loss: 0.69140625, depth_loss: 0.06288029253482819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7386807799339294, dino_loss: 0.6328125, depth_loss: 0.051273126155138016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3228/10000 [7:01:25<22:43:21, 12.08s/it]
                                                         
{'loss': 2.2978, 'grad_norm': 2.9255666732788086, 'learning_rate': 4.049844037968948e-05, 'epoch': 0.03}

 32%|███▏      | 3228/10000 [7:01:25<22:43:21, 12.08s/it]the number of masks: 1
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8086733818054199, dino_loss: 0.68359375, depth_loss: 0.06197965517640114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8030328750610352, dino_loss: 0.69921875, depth_loss: 0.06090801581740379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3229/10000 [7:01:36<22:17:26, 11.85s/it]
                                                         
{'loss': 2.0323, 'grad_norm': 4.005560398101807, 'learning_rate': 4.049195254778441e-05, 'epoch': 0.03}

 32%|███▏      | 3229/10000 [7:01:36<22:17:26, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8310931324958801, dino_loss: 0.6953125, depth_loss: 0.06056038290262222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.876338005065918, dino_loss: 0.64453125, depth_loss: 0.05101560801267624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3230/10000 [7:01:48<22:08:19, 11.77s/it]
                                                         
{'loss': 1.5828, 'grad_norm': 3.6032602787017822, 'learning_rate': 4.048546302170271e-05, 'epoch': 0.03}

 32%|███▏      | 3230/10000 [7:01:48<22:08:19, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8356829881668091, dino_loss: 0.69921875, depth_loss: 0.06732788681983948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8763623237609863, dino_loss: 0.7109375, depth_loss: 0.0472882054746151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3231/10000 [7:02:01<22:50:29, 12.15s/it]
                                                         
{'loss': 2.3962, 'grad_norm': 2.553256034851074, 'learning_rate': 4.047897180215404e-05, 'epoch': 0.03}

 32%|███▏      | 3231/10000 [7:02:01<22:50:29, 12.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9078056812286377, dino_loss: 0.734375, depth_loss: 0.0709742084145546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9319460988044739, dino_loss: 0.72265625, depth_loss: 0.06144944205880165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3232/10000 [7:02:13<22:43:39, 12.09s/it]
                                                         
{'loss': 2.5554, 'grad_norm': 2.531770944595337, 'learning_rate': 4.04724788898483e-05, 'epoch': 0.03}

 32%|███▏      | 3232/10000 [7:02:13<22:43:39, 12.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8870965242385864, dino_loss: 0.7109375, depth_loss: 0.09379135817289352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9387068748474121, dino_loss: 0.69140625, depth_loss: 0.061449967324733734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3233/10000 [7:02:24<22:12:32, 11.82s/it]
                                                         
{'loss': 1.9135, 'grad_norm': 1.5501679182052612, 'learning_rate': 4.046598428549553e-05, 'epoch': 0.03}

 32%|███▏      | 3233/10000 [7:02:24<22:12:32, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6521990299224854, dino_loss: 0.6640625, depth_loss: 0.05339774861931801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1137702465057373, dino_loss: 0.6953125, depth_loss: 0.06847594678401947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3234/10000 [7:02:36<22:42:30, 12.08s/it]
                                                         
{'loss': 2.2434, 'grad_norm': 3.566783905029297, 'learning_rate': 4.045948798980597e-05, 'epoch': 0.03}

 32%|███▏      | 3234/10000 [7:02:36<22:42:30, 12.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9212625622749329, dino_loss: 0.6875, depth_loss: 0.06329170614480972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9323304891586304, dino_loss: 0.66796875, depth_loss: 0.06043907254934311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3235/10000 [7:02:48<22:29:59, 11.97s/it]
                                                         
{'loss': 2.3679, 'grad_norm': 2.7577171325683594, 'learning_rate': 4.0452990003490047e-05, 'epoch': 0.03}

 32%|███▏      | 3235/10000 [7:02:48<22:29:59, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8972722291946411, dino_loss: 0.68359375, depth_loss: 0.058835532516241074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8514089584350586, dino_loss: 0.671875, depth_loss: 0.061043694615364075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3236/10000 [7:03:00<22:35:01, 12.02s/it]
                                                         
{'loss': 2.4593, 'grad_norm': 3.057166576385498, 'learning_rate': 4.044649032725836e-05, 'epoch': 0.03}

 32%|███▏      | 3236/10000 [7:03:00<22:35:01, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8504358530044556, dino_loss: 0.75, depth_loss: 0.06584219634532928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7953742742538452, dino_loss: 0.76171875, depth_loss: 0.05781856179237366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3237/10000 [7:03:12<22:28:40, 11.97s/it]
                                                         
{'loss': 2.291, 'grad_norm': 2.762139320373535, 'learning_rate': 4.043998896182172e-05, 'epoch': 0.03}

 32%|███▏      | 3237/10000 [7:03:12<22:28:40, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8310490250587463, dino_loss: 0.65625, depth_loss: 0.05620615556836128, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0291403532028198, dino_loss: 0.68359375, depth_loss: 0.06056869775056839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3238/10000 [7:03:24<22:36:32, 12.04s/it]
                                                         
{'loss': 2.6818, 'grad_norm': 3.3060414791107178, 'learning_rate': 4.043348590789111e-05, 'epoch': 0.03}

 32%|███▏      | 3238/10000 [7:03:24<22:36:32, 12.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.988671064376831, dino_loss: 0.73828125, depth_loss: 0.05322469025850296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.714816689491272, dino_loss: 0.63671875, depth_loss: 0.04666442796587944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3239/10000 [7:03:36<22:17:51, 11.87s/it]
                                                         
{'loss': 1.837, 'grad_norm': 2.050816774368286, 'learning_rate': 4.042698116617768e-05, 'epoch': 0.03}

 32%|███▏      | 3239/10000 [7:03:36<22:17:51, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9317049980163574, dino_loss: 0.765625, depth_loss: 0.0913548469543457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0400112867355347, dino_loss: 0.7109375, depth_loss: 0.07085457444190979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3240/10000 [7:03:48<22:19:05, 11.89s/it]
                                                         
{'loss': 2.3112, 'grad_norm': 4.103585720062256, 'learning_rate': 4.042047473739278e-05, 'epoch': 0.03}

 32%|███▏      | 3240/10000 [7:03:48<22:19:05, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8375846743583679, dino_loss: 0.6640625, depth_loss: 0.04898655787110329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9107552766799927, dino_loss: 0.65625, depth_loss: 0.06782319396734238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3241/10000 [7:04:00<22:15:48, 11.86s/it]
                                                         
{'loss': 2.1649, 'grad_norm': 2.104673385620117, 'learning_rate': 4.0413966622247943e-05, 'epoch': 0.03}

 32%|███▏      | 3241/10000 [7:04:00<22:15:48, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.72193843126297, dino_loss: 0.6328125, depth_loss: 0.06569160521030426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0376325845718384, dino_loss: 0.703125, depth_loss: 0.06443603336811066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3242/10000 [7:04:11<22:10:29, 11.81s/it]
                                                         
{'loss': 1.9365, 'grad_norm': 2.7185206413269043, 'learning_rate': 4.0407456821454906e-05, 'epoch': 0.03}

 32%|███▏      | 3242/10000 [7:04:11<22:10:29, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9448606967926025, dino_loss: 0.68359375, depth_loss: 0.0633818730711937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.986822247505188, dino_loss: 0.74609375, depth_loss: 0.07395964115858078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3243/10000 [7:04:23<22:07:21, 11.79s/it]
                                                         
{'loss': 1.8971, 'grad_norm': 3.4596786499023438, 'learning_rate': 4.040094533572554e-05, 'epoch': 0.03}

 32%|███▏      | 3243/10000 [7:04:23<22:07:21, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.003825068473816, dino_loss: 0.71484375, depth_loss: 0.07372921705245972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8159980773925781, dino_loss: 0.65625, depth_loss: 0.0573161318898201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3244/10000 [7:04:34<21:37:53, 11.53s/it]
                                                         
{'loss': 1.7681, 'grad_norm': 2.0003161430358887, 'learning_rate': 4.039443216577196e-05, 'epoch': 0.03}

 32%|███▏      | 3244/10000 [7:04:34<21:37:53, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 1.1907469034194946, dino_loss: 0.6953125, depth_loss: 0.058678291738033295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8494210839271545, dino_loss: 0.66015625, depth_loss: 0.044381286948919296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3245/10000 [7:04:46<22:06:28, 11.78s/it]
                                                         
{'loss': 2.3531, 'grad_norm': 6.0211591720581055, 'learning_rate': 4.0387917312306414e-05, 'epoch': 0.03}

 32%|███▏      | 3245/10000 [7:04:46<22:06:28, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0079126358032227, dino_loss: 0.71484375, depth_loss: 0.06210557371377945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8039692044258118, dino_loss: 0.65625, depth_loss: 0.07958342134952545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3246/10000 [7:04:58<22:17:16, 11.88s/it]
                                                         
{'loss': 2.1494, 'grad_norm': 2.3900418281555176, 'learning_rate': 4.038140077604137e-05, 'epoch': 0.03}

 32%|███▏      | 3246/10000 [7:04:58<22:17:16, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8671866655349731, dino_loss: 0.6875, depth_loss: 0.05445024371147156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8412284851074219, dino_loss: 0.69921875, depth_loss: 0.06703582406044006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3247/10000 [7:05:10<22:02:21, 11.75s/it]
                                                         
{'loss': 1.9524, 'grad_norm': 2.4880926609039307, 'learning_rate': 4.037488255768945e-05, 'epoch': 0.03}

 32%|███▏      | 3247/10000 [7:05:10<22:02:21, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0313774347305298, dino_loss: 0.6484375, depth_loss: 0.053224291652441025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7685796618461609, dino_loss: 0.6875, depth_loss: 0.06772033870220184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3248/10000 [7:05:21<21:48:06, 11.62s/it]
                                                         
{'loss': 2.2778, 'grad_norm': 2.086608409881592, 'learning_rate': 4.036836265796351e-05, 'epoch': 0.03}

 32%|███▏      | 3248/10000 [7:05:21<21:48:06, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.059618592262268, dino_loss: 0.6640625, depth_loss: 0.07701396942138672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1044859886169434, dino_loss: 0.63671875, depth_loss: 0.04484684020280838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▏      | 3249/10000 [7:05:32<21:34:01, 11.50s/it]
                                                         
{'loss': 2.1129, 'grad_norm': 2.847870349884033, 'learning_rate': 4.036184107757653e-05, 'epoch': 0.03}

 32%|███▏      | 3249/10000 [7:05:32<21:34:01, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8532518148422241, dino_loss: 0.69921875, depth_loss: 0.055595479905605316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8078339099884033, dino_loss: 0.671875, depth_loss: 0.07647349685430527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 32%|███▎      | 3250/10000 [7:05:44<21:43:21, 11.59s/it]
                                                         
{'loss': 2.0142, 'grad_norm': 3.948457717895508, 'learning_rate': 4.03553178172417e-05, 'epoch': 0.03}

 32%|███▎      | 3250/10000 [7:05:44<21:43:21, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8305079936981201, dino_loss: 0.76171875, depth_loss: 0.061382025480270386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8460681438446045, dino_loss: 0.64453125, depth_loss: 0.050729043781757355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3251/10000 [7:05:56<22:01:51, 11.75s/it]
                                                         
{'loss': 2.4087, 'grad_norm': 2.1150753498077393, 'learning_rate': 4.0348792877672406e-05, 'epoch': 0.03}

 33%|███▎      | 3251/10000 [7:05:56<22:01:51, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8596235513687134, dino_loss: 0.71484375, depth_loss: 0.061078451573848724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1580350399017334, dino_loss: 0.72265625, depth_loss: 0.06058318912982941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3252/10000 [7:06:08<22:17:10, 11.89s/it]
                                                         
{'loss': 2.4486, 'grad_norm': 2.687971830368042, 'learning_rate': 4.034226625958219e-05, 'epoch': 0.03}

 33%|███▎      | 3252/10000 [7:06:08<22:17:10, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9335211515426636, dino_loss: 0.73828125, depth_loss: 0.06162808835506439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8514794111251831, dino_loss: 0.6640625, depth_loss: 0.05365186929702759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3253/10000 [7:06:20<21:52:56, 11.68s/it]
                                                         
{'loss': 1.9155, 'grad_norm': 2.1269757747650146, 'learning_rate': 4.033573796368481e-05, 'epoch': 0.03}

 33%|███▎      | 3253/10000 [7:06:20<21:52:56, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.894704282283783, dino_loss: 0.734375, depth_loss: 0.08924446254968643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7362955808639526, dino_loss: 0.609375, depth_loss: 0.06045136600732803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3254/10000 [7:06:31<21:49:40, 11.65s/it]
                                                         
{'loss': 2.1097, 'grad_norm': 2.710059642791748, 'learning_rate': 4.0329207990694186e-05, 'epoch': 0.03}

 33%|███▎      | 3254/10000 [7:06:31<21:49:40, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9881045818328857, dino_loss: 0.69140625, depth_loss: 0.0664663091301918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9970861077308655, dino_loss: 0.73046875, depth_loss: 0.06717653572559357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3255/10000 [7:06:43<21:39:38, 11.56s/it]
                                                         
{'loss': 2.5808, 'grad_norm': 3.3212640285491943, 'learning_rate': 4.0322676341324415e-05, 'epoch': 0.03}

 33%|███▎      | 3255/10000 [7:06:43<21:39:38, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9484953284263611, dino_loss: 0.6796875, depth_loss: 0.06547681987285614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.9242534041404724, dino_loss: 0.65625, depth_loss: 0.07627005875110626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3256/10000 [7:06:54<21:31:09, 11.49s/it]
                                                         
{'loss': 2.1696, 'grad_norm': 3.190141439437866, 'learning_rate': 4.0316143016289795e-05, 'epoch': 0.03}

 33%|███▎      | 3256/10000 [7:06:54<21:31:09, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8875513076782227, dino_loss: 0.68359375, depth_loss: 0.06229814141988754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8560401797294617, dino_loss: 0.7578125, depth_loss: 0.0651935413479805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3257/10000 [7:07:06<21:56:16, 11.71s/it]
                                                         
{'loss': 2.3517, 'grad_norm': 3.107213020324707, 'learning_rate': 4.0309608016304815e-05, 'epoch': 0.03}

 33%|███▎      | 3257/10000 [7:07:06<21:56:16, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0632646083831787, dino_loss: 0.62890625, depth_loss: 0.05591220408678055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8390882611274719, dino_loss: 0.76953125, depth_loss: 0.06648663431406021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3258/10000 [7:07:18<22:04:46, 11.79s/it]
                                                         
{'loss': 2.3289, 'grad_norm': 3.2968926429748535, 'learning_rate': 4.030307134208411e-05, 'epoch': 0.03}

 33%|███▎      | 3258/10000 [7:07:18<22:04:46, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0447540283203125, dino_loss: 0.71484375, depth_loss: 0.06648729741573334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8813663721084595, dino_loss: 0.703125, depth_loss: 0.05207821726799011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3259/10000 [7:07:29<21:42:02, 11.59s/it]
                                                         
{'loss': 2.1726, 'grad_norm': 2.112025737762451, 'learning_rate': 4.029653299434253e-05, 'epoch': 0.03}

 33%|███▎      | 3259/10000 [7:07:29<21:42:02, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9047143459320068, dino_loss: 0.65234375, depth_loss: 0.050595398992300034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9899316430091858, dino_loss: 0.72265625, depth_loss: 0.07093597948551178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3260/10000 [7:07:41<21:54:25, 11.70s/it]
                                                         
{'loss': 2.4037, 'grad_norm': 3.3051886558532715, 'learning_rate': 4.028999297379511e-05, 'epoch': 0.03}

 33%|███▎      | 3260/10000 [7:07:41<21:54:25, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8537490367889404, dino_loss: 0.71875, depth_loss: 0.07331126183271408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.820866584777832, dino_loss: 0.671875, depth_loss: 0.05735544487833977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3261/10000 [7:07:52<21:40:30, 11.58s/it]
                                                         
{'loss': 1.9137, 'grad_norm': 1.1105554103851318, 'learning_rate': 4.028345128115704e-05, 'epoch': 0.03}

 33%|███▎      | 3261/10000 [7:07:52<21:40:30, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8843055963516235, dino_loss: 0.703125, depth_loss: 0.052867431193590164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7047046422958374, dino_loss: 0.703125, depth_loss: 0.06676602363586426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3262/10000 [7:08:05<22:23:32, 11.96s/it]
                                                         
{'loss': 2.4727, 'grad_norm': 2.3117690086364746, 'learning_rate': 4.0276907917143714e-05, 'epoch': 0.03}

 33%|███▎      | 3262/10000 [7:08:05<22:23:32, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0237067937850952, dino_loss: 0.703125, depth_loss: 0.05729391425848007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.669903039932251, dino_loss: 0.64453125, depth_loss: 0.05663955956697464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3263/10000 [7:08:17<22:17:06, 11.91s/it]
                                                         
{'loss': 1.7856, 'grad_norm': 1.6814712285995483, 'learning_rate': 4.0270362882470715e-05, 'epoch': 0.03}

 33%|███▎      | 3263/10000 [7:08:17<22:17:06, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8143254518508911, dino_loss: 0.625, depth_loss: 0.05576124042272568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8112894296646118, dino_loss: 0.6875, depth_loss: 0.06285402923822403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3264/10000 [7:08:29<22:02:36, 11.78s/it]
                                                         
{'loss': 2.1227, 'grad_norm': 3.3382859230041504, 'learning_rate': 4.026381617785378e-05, 'epoch': 0.03}

 33%|███▎      | 3264/10000 [7:08:29<22:02:36, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0563719272613525, dino_loss: 0.71484375, depth_loss: 0.060427457094192505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8969409465789795, dino_loss: 0.68359375, depth_loss: 0.058239903301000595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3265/10000 [7:08:40<21:55:36, 11.72s/it]
                                                         
{'loss': 2.3755, 'grad_norm': 2.253227710723877, 'learning_rate': 4.025726780400886e-05, 'epoch': 0.03}

 33%|███▎      | 3265/10000 [7:08:40<21:55:36, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8674913644790649, dino_loss: 0.72265625, depth_loss: 0.07025249302387238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9311553239822388, dino_loss: 0.71484375, depth_loss: 0.06674864143133163, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3266/10000 [7:08:52<22:11:36, 11.86s/it]
                                                         
{'loss': 2.4633, 'grad_norm': 5.872115612030029, 'learning_rate': 4.025071776165207e-05, 'epoch': 0.03}

 33%|███▎      | 3266/10000 [7:08:52<22:11:36, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1392700672149658, dino_loss: 0.703125, depth_loss: 0.04894883930683136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8680980801582336, dino_loss: 0.70703125, depth_loss: 0.06701433658599854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3267/10000 [7:09:04<22:10:12, 11.85s/it]
                                                         
{'loss': 2.3157, 'grad_norm': 6.51486349105835, 'learning_rate': 4.024416605149972e-05, 'epoch': 0.03}

 33%|███▎      | 3267/10000 [7:09:04<22:10:12, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8540470004081726, dino_loss: 0.6875, depth_loss: 0.05211630463600159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9475917816162109, dino_loss: 0.7578125, depth_loss: 0.07075071334838867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3268/10000 [7:09:17<22:30:28, 12.04s/it]
                                                         
{'loss': 2.3482, 'grad_norm': 3.5363011360168457, 'learning_rate': 4.023761267426829e-05, 'epoch': 0.03}

 33%|███▎      | 3268/10000 [7:09:17<22:30:28, 12.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.882661759853363, dino_loss: 0.68359375, depth_loss: 0.0722881555557251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.913297176361084, dino_loss: 0.671875, depth_loss: 0.06880039721727371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3269/10000 [7:09:29<22:44:56, 12.17s/it]
                                                         
{'loss': 2.257, 'grad_norm': 1.5465362071990967, 'learning_rate': 4.023105763067444e-05, 'epoch': 0.03}

 33%|███▎      | 3269/10000 [7:09:29<22:44:56, 12.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.913133978843689, dino_loss: 0.640625, depth_loss: 0.06022478640079498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9921902418136597, dino_loss: 0.734375, depth_loss: 0.057870980352163315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3270/10000 [7:09:41<22:34:01, 12.07s/it]
                                                         
{'loss': 2.2594, 'grad_norm': 3.5523605346679688, 'learning_rate': 4.0224500921435035e-05, 'epoch': 0.03}

 33%|███▎      | 3270/10000 [7:09:41<22:34:01, 12.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0726361274719238, dino_loss: 0.703125, depth_loss: 0.06727862358093262, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.06911301612854, dino_loss: 0.69140625, depth_loss: 0.06217958405613899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3271/10000 [7:09:52<22:08:00, 11.84s/it]
                                                         
{'loss': 2.3038, 'grad_norm': 2.2769815921783447, 'learning_rate': 4.0217942547267094e-05, 'epoch': 0.03}

 33%|███▎      | 3271/10000 [7:09:52<22:08:00, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9876714944839478, dino_loss: 0.6953125, depth_loss: 0.06480173766613007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9169094562530518, dino_loss: 0.734375, depth_loss: 0.08759361505508423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3272/10000 [7:10:05<22:38:36, 12.12s/it]
                                                         
{'loss': 2.4888, 'grad_norm': 3.0802955627441406, 'learning_rate': 4.021138250888784e-05, 'epoch': 0.03}

 33%|███▎      | 3272/10000 [7:10:05<22:38:36, 12.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8574091196060181, dino_loss: 0.66796875, depth_loss: 0.05564579367637634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.070553183555603, dino_loss: 0.7734375, depth_loss: 0.06213738024234772, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3273/10000 [7:10:17<22:36:22, 12.10s/it]
                                                         
{'loss': 2.495, 'grad_norm': 2.3029263019561768, 'learning_rate': 4.020482080701466e-05, 'epoch': 0.03}

 33%|███▎      | 3273/10000 [7:10:17<22:36:22, 12.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9659966230392456, dino_loss: 0.7109375, depth_loss: 0.07834228873252869, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9063659906387329, dino_loss: 0.71484375, depth_loss: 0.059143729507923126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3274/10000 [7:10:28<22:09:36, 11.86s/it]
                                                         
{'loss': 2.0944, 'grad_norm': 5.511582851409912, 'learning_rate': 4.019825744236514e-05, 'epoch': 0.03}

 33%|███▎      | 3274/10000 [7:10:28<22:09:36, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9949166178703308, dino_loss: 0.68359375, depth_loss: 0.06807688623666763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8416700959205627, dino_loss: 0.65234375, depth_loss: 0.0495794378221035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3275/10000 [7:10:39<21:40:26, 11.60s/it]
                                                         
{'loss': 1.8444, 'grad_norm': 2.1373291015625, 'learning_rate': 4.019169241565703e-05, 'epoch': 0.03}

 33%|███▎      | 3275/10000 [7:10:39<21:40:26, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8951326608657837, dino_loss: 0.72265625, depth_loss: 0.06659422814846039, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9239758253097534, dino_loss: 0.703125, depth_loss: 0.07042182981967926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3276/10000 [7:10:51<21:47:28, 11.67s/it]
                                                         
{'loss': 2.286, 'grad_norm': 2.1156156063079834, 'learning_rate': 4.0185125727608286e-05, 'epoch': 0.03}

 33%|███▎      | 3276/10000 [7:10:51<21:47:28, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8885720372200012, dino_loss: 0.68359375, depth_loss: 0.060714367777109146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9671124219894409, dino_loss: 0.67578125, depth_loss: 0.05856665223836899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3277/10000 [7:11:03<21:52:18, 11.71s/it]
                                                         
{'loss': 2.4118, 'grad_norm': 3.817440986633301, 'learning_rate': 4.017855737893702e-05, 'epoch': 0.03}

 33%|███▎      | 3277/10000 [7:11:03<21:52:18, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9474312663078308, dino_loss: 0.76171875, depth_loss: 0.08708944916725159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9415061473846436, dino_loss: 0.671875, depth_loss: 0.057459570467472076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3278/10000 [7:11:15<22:03:00, 11.81s/it]
                                                         
{'loss': 2.3494, 'grad_norm': 3.3404555320739746, 'learning_rate': 4.017198737036154e-05, 'epoch': 0.03}

 33%|███▎      | 3278/10000 [7:11:15<22:03:00, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.7728407979011536, dino_loss: 0.69921875, depth_loss: 0.06460507214069366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.936821699142456, dino_loss: 0.75, depth_loss: 0.06638200581073761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3279/10000 [7:11:27<21:57:08, 11.76s/it]
                                                         
{'loss': 2.085, 'grad_norm': 1.7974441051483154, 'learning_rate': 4.0165415702600326e-05, 'epoch': 0.03}

 33%|███▎      | 3279/10000 [7:11:27<21:57:08, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8289403915405273, dino_loss: 0.69921875, depth_loss: 0.0695609375834465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.058900237083435, dino_loss: 0.69140625, depth_loss: 0.059394702315330505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3280/10000 [7:11:38<21:55:22, 11.74s/it]
                                                         
{'loss': 2.2567, 'grad_norm': 1.560925006866455, 'learning_rate': 4.0158842376372064e-05, 'epoch': 0.03}

 33%|███▎      | 3280/10000 [7:11:38<21:55:22, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8562820553779602, dino_loss: 0.65234375, depth_loss: 0.06182047724723816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9372934699058533, dino_loss: 0.67578125, depth_loss: 0.052058495581150055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3281/10000 [7:11:50<21:39:56, 11.61s/it]
                                                         
{'loss': 1.751, 'grad_norm': 1.4963371753692627, 'learning_rate': 4.0152267392395583e-05, 'epoch': 0.03}

 33%|███▎      | 3281/10000 [7:11:50<21:39:56, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.074861764907837, dino_loss: 0.69140625, depth_loss: 0.08623009920120239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9510230422019958, dino_loss: 0.73046875, depth_loss: 0.07072526961565018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3282/10000 [7:12:02<22:11:23, 11.89s/it]
                                                         
{'loss': 2.6431, 'grad_norm': 2.59458589553833, 'learning_rate': 4.014569075138992e-05, 'epoch': 0.03}

 33%|███▎      | 3282/10000 [7:12:02<22:11:23, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7845624685287476, dino_loss: 0.6328125, depth_loss: 0.05910314619541168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8847987651824951, dino_loss: 0.7109375, depth_loss: 0.07573449611663818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3283/10000 [7:12:14<21:56:28, 11.76s/it]
                                                         
{'loss': 2.0962, 'grad_norm': 3.4336321353912354, 'learning_rate': 4.013911245407429e-05, 'epoch': 0.03}

 33%|███▎      | 3283/10000 [7:12:14<21:56:28, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.952565610408783, dino_loss: 0.69921875, depth_loss: 0.07663274556398392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9285460710525513, dino_loss: 0.71484375, depth_loss: 0.08440936356782913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3284/10000 [7:12:26<22:01:03, 11.80s/it]
                                                         
{'loss': 2.0755, 'grad_norm': 3.097058057785034, 'learning_rate': 4.013253250116809e-05, 'epoch': 0.03}

 33%|███▎      | 3284/10000 [7:12:26<22:01:03, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8913367986679077, dino_loss: 0.65625, depth_loss: 0.05215945839881897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.129701018333435, dino_loss: 0.703125, depth_loss: 0.07006629556417465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3285/10000 [7:12:38<22:04:45, 11.84s/it]
                                                         
{'loss': 2.6198, 'grad_norm': 5.463542938232422, 'learning_rate': 4.0125950893390876e-05, 'epoch': 0.03}

 33%|███▎      | 3285/10000 [7:12:38<22:04:45, 11.84s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.8389186859130859, dino_loss: 0.6875, depth_loss: 0.0688294991850853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7707614898681641, dino_loss: 0.68359375, depth_loss: 0.04895636811852455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3286/10000 [7:12:50<22:25:02, 12.02s/it]
                                                         
{'loss': 2.6188, 'grad_norm': 3.7046754360198975, 'learning_rate': 4.0119367631462416e-05, 'epoch': 0.03}

 33%|███▎      | 3286/10000 [7:12:50<22:25:02, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7522011995315552, dino_loss: 0.70703125, depth_loss: 0.06410734355449677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0630009174346924, dino_loss: 0.6640625, depth_loss: 0.057540833950042725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3287/10000 [7:13:02<22:22:40, 12.00s/it]
                                                         
{'loss': 1.8489, 'grad_norm': 3.3695545196533203, 'learning_rate': 4.0112782716102644e-05, 'epoch': 0.03}

 33%|███▎      | 3287/10000 [7:13:02<22:22:40, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9774340987205505, dino_loss: 0.69140625, depth_loss: 0.063392773270607, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.9424915313720703, dino_loss: 0.6640625, depth_loss: 0.07912762463092804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3288/10000 [7:13:14<22:25:51, 12.03s/it]
                                                         
{'loss': 2.4068, 'grad_norm': 2.9100685119628906, 'learning_rate': 4.0106196148031674e-05, 'epoch': 0.03}

 33%|███▎      | 3288/10000 [7:13:14<22:25:51, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7635366916656494, dino_loss: 0.6484375, depth_loss: 0.058439865708351135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8636493682861328, dino_loss: 0.66796875, depth_loss: 0.05829096585512161, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3289/10000 [7:13:26<22:12:13, 11.91s/it]
                                                         
{'loss': 1.8216, 'grad_norm': 1.979823112487793, 'learning_rate': 4.009960792796981e-05, 'epoch': 0.03}

 33%|███▎      | 3289/10000 [7:13:26<22:12:13, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.006669521331787, dino_loss: 0.71484375, depth_loss: 0.05573183298110962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8235963582992554, dino_loss: 0.66015625, depth_loss: 0.05359460785984993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3290/10000 [7:13:38<22:13:32, 11.92s/it]
                                                         
{'loss': 2.3632, 'grad_norm': 2.7863786220550537, 'learning_rate': 4.009301805663752e-05, 'epoch': 0.03}

 33%|███▎      | 3290/10000 [7:13:38<22:13:32, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9867557883262634, dino_loss: 0.7109375, depth_loss: 0.0741400346159935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7934656143188477, dino_loss: 0.69921875, depth_loss: 0.06333370506763458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3291/10000 [7:13:49<22:10:23, 11.90s/it]
                                                         
{'loss': 2.286, 'grad_norm': 2.147399425506592, 'learning_rate': 4.0086426534755475e-05, 'epoch': 0.03}

 33%|███▎      | 3291/10000 [7:13:49<22:10:23, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9091424345970154, dino_loss: 0.6484375, depth_loss: 0.043287888169288635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8990082740783691, dino_loss: 0.69921875, depth_loss: 0.07319808006286621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3292/10000 [7:14:01<22:11:33, 11.91s/it]
                                                         
{'loss': 2.2855, 'grad_norm': 1.7642678022384644, 'learning_rate': 4.007983336304449e-05, 'epoch': 0.03}

 33%|███▎      | 3292/10000 [7:14:01<22:11:33, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7884907722473145, dino_loss: 0.64453125, depth_loss: 0.06217867136001587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9329659938812256, dino_loss: 0.69921875, depth_loss: 0.06158652901649475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3293/10000 [7:14:13<22:04:34, 11.85s/it]
                                                         
{'loss': 2.2375, 'grad_norm': 2.685920000076294, 'learning_rate': 4.007323854222562e-05, 'epoch': 0.03}

 33%|███▎      | 3293/10000 [7:14:13<22:04:34, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0109694004058838, dino_loss: 0.69921875, depth_loss: 0.06391850858926773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.023449182510376, dino_loss: 0.6640625, depth_loss: 0.04885226860642433, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3294/10000 [7:14:25<21:55:34, 11.77s/it]
                                                         
{'loss': 2.0386, 'grad_norm': 3.8988990783691406, 'learning_rate': 4.0066642073020036e-05, 'epoch': 0.03}

 33%|███▎      | 3294/10000 [7:14:25<21:55:34, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0228381156921387, dino_loss: 0.68359375, depth_loss: 0.055206216871738434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.977522611618042, dino_loss: 0.72265625, depth_loss: 0.07003231346607208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3295/10000 [7:14:36<21:51:29, 11.74s/it]
                                                         
{'loss': 2.6029, 'grad_norm': 1.778841495513916, 'learning_rate': 4.006004395614913e-05, 'epoch': 0.03}

 33%|███▎      | 3295/10000 [7:14:36<21:51:29, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9931856393814087, dino_loss: 0.6328125, depth_loss: 0.049925096333026886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9540887475013733, dino_loss: 0.72265625, depth_loss: 0.06273500621318817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3296/10000 [7:14:48<21:51:15, 11.74s/it]
                                                         
{'loss': 3.2529, 'grad_norm': 3.907951831817627, 'learning_rate': 4.005344419233446e-05, 'epoch': 0.03}

 33%|███▎      | 3296/10000 [7:14:48<21:51:15, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9580416083335876, dino_loss: 0.72265625, depth_loss: 0.046531081199645996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8405935168266296, dino_loss: 0.62109375, depth_loss: 0.05664008855819702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3297/10000 [7:14:59<21:28:03, 11.53s/it]
                                                         
{'loss': 1.8507, 'grad_norm': 3.6310789585113525, 'learning_rate': 4.004684278229776e-05, 'epoch': 0.03}

 33%|███▎      | 3297/10000 [7:14:59<21:28:03, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9061483144760132, dino_loss: 0.6796875, depth_loss: 0.06707008928060532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8226760625839233, dino_loss: 0.6875, depth_loss: 0.060343772172927856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3298/10000 [7:15:10<21:15:56, 11.42s/it]
                                                         
{'loss': 1.9338, 'grad_norm': 4.528019428253174, 'learning_rate': 4.004023972676097e-05, 'epoch': 0.03}

 33%|███▎      | 3298/10000 [7:15:10<21:15:56, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7470347881317139, dino_loss: 0.6484375, depth_loss: 0.042844876646995544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7950301170349121, dino_loss: 0.64453125, depth_loss: 0.05981549248099327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3299/10000 [7:15:22<21:18:42, 11.45s/it]
                                                         
{'loss': 1.4874, 'grad_norm': 2.9773812294006348, 'learning_rate': 4.003363502644616e-05, 'epoch': 0.03}

 33%|███▎      | 3299/10000 [7:15:22<21:18:42, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8934811353683472, dino_loss: 0.7421875, depth_loss: 0.07460235804319382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9203307628631592, dino_loss: 0.75390625, depth_loss: 0.08730436861515045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3300/10000 [7:15:33<21:19:01, 11.45s/it]
                                                         
{'loss': 2.059, 'grad_norm': 2.2767298221588135, 'learning_rate': 4.002702868207563e-05, 'epoch': 0.03}

 33%|███▎      | 3300/10000 [7:15:33<21:19:01, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9316776990890503, dino_loss: 0.734375, depth_loss: 0.08122062683105469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.960094153881073, dino_loss: 0.7578125, depth_loss: 0.06064896285533905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3301/10000 [7:15:45<21:16:18, 11.43s/it]
                                                         
{'loss': 2.1171, 'grad_norm': 3.2745308876037598, 'learning_rate': 4.002042069437184e-05, 'epoch': 0.03}

 33%|███▎      | 3301/10000 [7:15:45<21:16:18, 11.43s/it]the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.9255102872848511, dino_loss: 0.69140625, depth_loss: 0.0650533139705658, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9289555549621582, dino_loss: 0.69140625, depth_loss: 0.054944224655628204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3302/10000 [7:15:56<21:15:41, 11.43s/it]
                                                         
{'loss': 2.2914, 'grad_norm': 3.8839833736419678, 'learning_rate': 4.001381106405742e-05, 'epoch': 0.03}

 33%|███▎      | 3302/10000 [7:15:56<21:15:41, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7807260751724243, dino_loss: 0.71484375, depth_loss: 0.06833340227603912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0024304389953613, dino_loss: 0.6875, depth_loss: 0.057669781148433685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3303/10000 [7:16:08<21:41:23, 11.66s/it]
                                                         
{'loss': 2.5146, 'grad_norm': 2.911914825439453, 'learning_rate': 4.00071997918552e-05, 'epoch': 0.03}

 33%|███▎      | 3303/10000 [7:16:08<21:41:23, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.974326491355896, dino_loss: 0.71875, depth_loss: 0.07071710377931595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.888372540473938, dino_loss: 0.71875, depth_loss: 0.06420433521270752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3304/10000 [7:16:20<21:49:18, 11.73s/it]
                                                         
{'loss': 2.3123, 'grad_norm': 4.999144554138184, 'learning_rate': 4.000058687848817e-05, 'epoch': 0.03}

 33%|███▎      | 3304/10000 [7:16:20<21:49:18, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8397253155708313, dino_loss: 0.6640625, depth_loss: 0.048587866127491, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8227894306182861, dino_loss: 0.7265625, depth_loss: 0.0688561201095581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3305/10000 [7:16:32<22:00:17, 11.83s/it]
                                                         
{'loss': 2.39, 'grad_norm': 2.735229015350342, 'learning_rate': 3.999397232467952e-05, 'epoch': 0.03}

 33%|███▎      | 3305/10000 [7:16:32<22:00:17, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8514957427978516, dino_loss: 0.70703125, depth_loss: 0.06411970406770706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8890843391418457, dino_loss: 0.7578125, depth_loss: 0.07267281413078308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3306/10000 [7:16:44<22:01:43, 11.85s/it]
                                                         
{'loss': 2.4691, 'grad_norm': 1.8078547716140747, 'learning_rate': 3.99873561311526e-05, 'epoch': 0.03}

 33%|███▎      | 3306/10000 [7:16:44<22:01:43, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9735636711120605, dino_loss: 0.70703125, depth_loss: 0.06534239649772644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7698192596435547, dino_loss: 0.67578125, depth_loss: 0.046043090522289276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3307/10000 [7:16:56<21:55:23, 11.79s/it]
                                                         
{'loss': 2.1862, 'grad_norm': 2.941019058227539, 'learning_rate': 3.998073829863093e-05, 'epoch': 0.03}

 33%|███▎      | 3307/10000 [7:16:56<21:55:23, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9065035581588745, dino_loss: 0.703125, depth_loss: 0.0748734176158905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.8699678182601929, dino_loss: 0.69140625, depth_loss: 0.06473322212696075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3308/10000 [7:17:07<21:40:10, 11.66s/it]
                                                         
{'loss': 1.9813, 'grad_norm': 3.460770606994629, 'learning_rate': 3.9974118827838256e-05, 'epoch': 0.03}

 33%|███▎      | 3308/10000 [7:17:07<21:40:10, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0275293588638306, dino_loss: 0.75, depth_loss: 0.059817515313625336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8598462343215942, dino_loss: 0.671875, depth_loss: 0.06624752283096313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3309/10000 [7:17:19<21:30:46, 11.57s/it]
                                                         
{'loss': 2.377, 'grad_norm': 2.502283811569214, 'learning_rate': 3.996749771949846e-05, 'epoch': 0.03}

 33%|███▎      | 3309/10000 [7:17:19<21:30:46, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9673853516578674, dino_loss: 0.6875, depth_loss: 0.07872404903173447, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9616531133651733, dino_loss: 0.66796875, depth_loss: 0.06779353320598602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3310/10000 [7:17:30<21:29:21, 11.56s/it]
                                                         
{'loss': 2.3578, 'grad_norm': 2.69002103805542, 'learning_rate': 3.996087497433562e-05, 'epoch': 0.03}

 33%|███▎      | 3310/10000 [7:17:30<21:29:21, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0236659049987793, dino_loss: 0.71875, depth_loss: 0.06435854732990265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8853442668914795, dino_loss: 0.71875, depth_loss: 0.09303778409957886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3311/10000 [7:17:42<21:36:46, 11.63s/it]
                                                         
{'loss': 2.064, 'grad_norm': 3.4034218788146973, 'learning_rate': 3.995425059307397e-05, 'epoch': 0.03}

 33%|███▎      | 3311/10000 [7:17:42<21:36:46, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9843400716781616, dino_loss: 0.67578125, depth_loss: 0.07192321866750717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9805735945701599, dino_loss: 0.70703125, depth_loss: 0.06754548847675323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3312/10000 [7:17:54<21:46:08, 11.72s/it]
                                                         
{'loss': 2.2697, 'grad_norm': 4.322262763977051, 'learning_rate': 3.9947624576437975e-05, 'epoch': 0.03}

 33%|███▎      | 3312/10000 [7:17:54<21:46:08, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7562487125396729, dino_loss: 0.703125, depth_loss: 0.06465433537960052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9247317314147949, dino_loss: 0.734375, depth_loss: 0.05106113851070404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3313/10000 [7:18:05<21:39:22, 11.66s/it]
                                                         
{'loss': 2.1718, 'grad_norm': 3.2600748538970947, 'learning_rate': 3.9940996925152226e-05, 'epoch': 0.03}

 33%|███▎      | 3313/10000 [7:18:05<21:39:22, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.934111475944519, dino_loss: 0.6640625, depth_loss: 0.05153325945138931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 1
the number of masks: 8
the number of masks: 8
seg_loss: 0.6186519861221313, dino_loss: 0.66015625, depth_loss: 0.04336641728878021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3314/10000 [7:18:17<21:35:16, 11.62s/it]
                                                         
{'loss': 2.0404, 'grad_norm': 2.042640447616577, 'learning_rate': 3.9934367639941514e-05, 'epoch': 0.03}

 33%|███▎      | 3314/10000 [7:18:17<21:35:16, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.045910120010376, dino_loss: 0.71484375, depth_loss: 0.06930205225944519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.848304808139801, dino_loss: 0.67578125, depth_loss: 0.07430841773748398, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3315/10000 [7:18:29<21:58:48, 11.84s/it]
                                                         
{'loss': 2.4141, 'grad_norm': 3.3956491947174072, 'learning_rate': 3.9927736721530805e-05, 'epoch': 0.03}

 33%|███▎      | 3315/10000 [7:18:29<21:58:48, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9761351346969604, dino_loss: 0.71484375, depth_loss: 0.06474187970161438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8191709518432617, dino_loss: 0.7109375, depth_loss: 0.0645144060254097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3316/10000 [7:18:41<21:41:38, 11.68s/it]
                                                         
{'loss': 2.0094, 'grad_norm': 2.46696138381958, 'learning_rate': 3.992110417064526e-05, 'epoch': 0.03}

 33%|███▎      | 3316/10000 [7:18:41<21:41:38, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9314931035041809, dino_loss: 0.6875, depth_loss: 0.06401671469211578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7645843029022217, dino_loss: 0.6953125, depth_loss: 0.05431600660085678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3317/10000 [7:18:52<21:38:26, 11.66s/it]
                                                         
{'loss': 1.8526, 'grad_norm': 2.2790229320526123, 'learning_rate': 3.99144699880102e-05, 'epoch': 0.03}

 33%|███▎      | 3317/10000 [7:18:52<21:38:26, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.964019238948822, dino_loss: 0.73046875, depth_loss: 0.06487971544265747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.841649055480957, dino_loss: 0.671875, depth_loss: 0.05900418758392334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3318/10000 [7:19:04<21:59:18, 11.85s/it]
                                                         
{'loss': 2.8258, 'grad_norm': 1.89596688747406, 'learning_rate': 3.9907834174351125e-05, 'epoch': 0.03}

 33%|███▎      | 3318/10000 [7:19:04<21:59:18, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9548777341842651, dino_loss: 0.77734375, depth_loss: 0.06639152765274048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8462074995040894, dino_loss: 0.65625, depth_loss: 0.05437928065657616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3319/10000 [7:19:17<22:14:02, 11.98s/it]
                                                         
{'loss': 2.2965, 'grad_norm': 5.993200778961182, 'learning_rate': 3.990119673039371e-05, 'epoch': 0.03}

 33%|███▎      | 3319/10000 [7:19:17<22:14:02, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8477722406387329, dino_loss: 0.6640625, depth_loss: 0.06983248889446259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9429232478141785, dino_loss: 0.73828125, depth_loss: 0.04875488579273224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3320/10000 [7:19:29<22:38:15, 12.20s/it]
                                                         
{'loss': 2.8972, 'grad_norm': 2.6725239753723145, 'learning_rate': 3.9894557656863823e-05, 'epoch': 0.03}

 33%|███▎      | 3320/10000 [7:19:29<22:38:15, 12.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8230305910110474, dino_loss: 0.67578125, depth_loss: 0.06754434108734131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.9191156029701233, dino_loss: 0.6796875, depth_loss: 0.06351586431264877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3321/10000 [7:19:41<22:24:27, 12.08s/it]
                                                         
{'loss': 2.3659, 'grad_norm': 4.530800819396973, 'learning_rate': 3.988791695448751e-05, 'epoch': 0.03}

 33%|███▎      | 3321/10000 [7:19:41<22:24:27, 12.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9422138929367065, dino_loss: 0.6953125, depth_loss: 0.06744202971458435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8006306886672974, dino_loss: 0.62109375, depth_loss: 0.04579850286245346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3322/10000 [7:19:54<22:34:40, 12.17s/it]
                                                         
{'loss': 2.1464, 'grad_norm': 2.98868727684021, 'learning_rate': 3.988127462399098e-05, 'epoch': 0.03}

 33%|███▎      | 3322/10000 [7:19:54<22:34:40, 12.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7964974045753479, dino_loss: 0.73046875, depth_loss: 0.068939708173275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9473851323127747, dino_loss: 0.7265625, depth_loss: 0.06783077865839005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3323/10000 [7:20:05<22:14:04, 11.99s/it]
                                                         
{'loss': 2.1972, 'grad_norm': 3.6070566177368164, 'learning_rate': 3.987463066610063e-05, 'epoch': 0.03}

 33%|███▎      | 3323/10000 [7:20:05<22:14:04, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8330774307250977, dino_loss: 0.703125, depth_loss: 0.052554015070199966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0277767181396484, dino_loss: 0.73828125, depth_loss: 0.0983324721455574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3324/10000 [7:20:17<22:15:16, 12.00s/it]
                                                         
{'loss': 2.5585, 'grad_norm': 3.187333106994629, 'learning_rate': 3.986798508154303e-05, 'epoch': 0.03}

 33%|███▎      | 3324/10000 [7:20:17<22:15:16, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9840254783630371, dino_loss: 0.72265625, depth_loss: 0.0560760535299778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.701265275478363, dino_loss: 0.69921875, depth_loss: 0.05761895701289177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3325/10000 [7:20:30<22:28:30, 12.12s/it]
                                                         
{'loss': 2.4368, 'grad_norm': 2.423444986343384, 'learning_rate': 3.9861337871044954e-05, 'epoch': 0.03}

 33%|███▎      | 3325/10000 [7:20:30<22:28:30, 12.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0540796518325806, dino_loss: 0.75, depth_loss: 0.09186762571334839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7143345475196838, dino_loss: 0.62109375, depth_loss: 0.06090374290943146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3326/10000 [7:20:41<21:56:49, 11.84s/it]
                                                         
{'loss': 1.6773, 'grad_norm': 2.71205997467041, 'learning_rate': 3.9854689035333295e-05, 'epoch': 0.03}

 33%|███▎      | 3326/10000 [7:20:41<21:56:49, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8482304811477661, dino_loss: 0.6953125, depth_loss: 0.048230696469545364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8676860332489014, dino_loss: 0.59765625, depth_loss: 0.04342017322778702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3327/10000 [7:20:54<22:36:43, 12.20s/it]
                                                         
{'loss': 2.3923, 'grad_norm': 6.281142711639404, 'learning_rate': 3.984803857513518e-05, 'epoch': 0.03}

 33%|███▎      | 3327/10000 [7:20:54<22:36:43, 12.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7763460278511047, dino_loss: 0.65234375, depth_loss: 0.05168699473142624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8290130496025085, dino_loss: 0.6796875, depth_loss: 0.05622338503599167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3328/10000 [7:21:05<22:08:11, 11.94s/it]
                                                         
{'loss': 1.6474, 'grad_norm': 2.2859668731689453, 'learning_rate': 3.984138649117789e-05, 'epoch': 0.03}

 33%|███▎      | 3328/10000 [7:21:05<22:08:11, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8073821663856506, dino_loss: 0.71875, depth_loss: 0.0442906878888607, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9151657819747925, dino_loss: 0.7578125, depth_loss: 0.07035192102193832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3329/10000 [7:21:17<22:00:52, 11.88s/it]
                                                         
{'loss': 2.1519, 'grad_norm': 6.609752655029297, 'learning_rate': 3.983473278418889e-05, 'epoch': 0.03}

 33%|███▎      | 3329/10000 [7:21:17<22:00:52, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9189633131027222, dino_loss: 0.6796875, depth_loss: 0.06258776783943176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0517020225524902, dino_loss: 0.6953125, depth_loss: 0.057321593165397644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3330/10000 [7:21:29<21:54:31, 11.82s/it]
                                                         
{'loss': 1.9958, 'grad_norm': 4.418726444244385, 'learning_rate': 3.9828077454895815e-05, 'epoch': 0.03}

 33%|███▎      | 3330/10000 [7:21:29<21:54:31, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7706489562988281, dino_loss: 0.6640625, depth_loss: 0.04731824994087219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0286515951156616, dino_loss: 0.74609375, depth_loss: 0.07459747791290283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3331/10000 [7:21:41<22:04:55, 11.92s/it]
                                                         
{'loss': 2.495, 'grad_norm': 4.372011661529541, 'learning_rate': 3.982142050402649e-05, 'epoch': 0.03}

 33%|███▎      | 3331/10000 [7:21:41<22:04:55, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9824957847595215, dino_loss: 0.70703125, depth_loss: 0.057544101029634476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9558179378509521, dino_loss: 0.765625, depth_loss: 0.06114531308412552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3332/10000 [7:21:53<22:18:22, 12.04s/it]
                                                         
{'loss': 2.5851, 'grad_norm': 3.305446147918701, 'learning_rate': 3.981476193230889e-05, 'epoch': 0.03}

 33%|███▎      | 3332/10000 [7:21:53<22:18:22, 12.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9736383557319641, dino_loss: 0.7265625, depth_loss: 0.06173604354262352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8895950317382812, dino_loss: 0.67578125, depth_loss: 0.0503515899181366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3333/10000 [7:22:04<21:51:07, 11.80s/it]
                                                         
{'loss': 1.9961, 'grad_norm': 4.402859210968018, 'learning_rate': 3.980810174047121e-05, 'epoch': 0.03}

 33%|███▎      | 3333/10000 [7:22:04<21:51:07, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0177350044250488, dino_loss: 0.69921875, depth_loss: 0.0505165159702301, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8323354125022888, dino_loss: 0.68359375, depth_loss: 0.06848691403865814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3334/10000 [7:22:17<22:10:49, 11.98s/it]
                                                         
{'loss': 2.159, 'grad_norm': 2.893267869949341, 'learning_rate': 3.980143992924178e-05, 'epoch': 0.03}

 33%|███▎      | 3334/10000 [7:22:17<22:10:49, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9593276381492615, dino_loss: 0.72265625, depth_loss: 0.06205454468727112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7304907441139221, dino_loss: 0.6484375, depth_loss: 0.057505033910274506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3335/10000 [7:22:28<21:59:50, 11.88s/it]
                                                         
{'loss': 1.8272, 'grad_norm': 1.5251262187957764, 'learning_rate': 3.9794776499349126e-05, 'epoch': 0.03}

 33%|███▎      | 3335/10000 [7:22:28<21:59:50, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7083714008331299, dino_loss: 0.68359375, depth_loss: 0.06126517429947853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0503541231155396, dino_loss: 0.70703125, depth_loss: 0.07664668560028076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3336/10000 [7:22:41<22:10:56, 11.98s/it]
                                                         
{'loss': 2.9505, 'grad_norm': 2.934034585952759, 'learning_rate': 3.978811145152197e-05, 'epoch': 0.03}

 33%|███▎      | 3336/10000 [7:22:41<22:10:56, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.814207136631012, dino_loss: 0.6796875, depth_loss: 0.07112891972064972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7739651203155518, dino_loss: 0.6328125, depth_loss: 0.0603775680065155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3337/10000 [7:22:52<21:48:05, 11.78s/it]
                                                         
{'loss': 1.9837, 'grad_norm': 2.7849252223968506, 'learning_rate': 3.978144478648917e-05, 'epoch': 0.03}

 33%|███▎      | 3337/10000 [7:22:52<21:48:05, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7307446002960205, dino_loss: 0.66015625, depth_loss: 0.05279959738254547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8307172060012817, dino_loss: 0.67578125, depth_loss: 0.05765342712402344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3338/10000 [7:23:04<21:43:38, 11.74s/it]
                                                         
{'loss': 2.266, 'grad_norm': 4.492745399475098, 'learning_rate': 3.9774776504979805e-05, 'epoch': 0.03}

 33%|███▎      | 3338/10000 [7:23:04<21:43:38, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0393855571746826, dino_loss: 0.703125, depth_loss: 0.06045743077993393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8606234788894653, dino_loss: 0.71484375, depth_loss: 0.0727943480014801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3339/10000 [7:23:15<21:42:35, 11.73s/it]
                                                         
{'loss': 2.521, 'grad_norm': 3.240025281906128, 'learning_rate': 3.976810660772308e-05, 'epoch': 0.03}

 33%|███▎      | 3339/10000 [7:23:15<21:42:35, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7888873219490051, dino_loss: 0.65625, depth_loss: 0.05497749522328377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9681403040885925, dino_loss: 0.68359375, depth_loss: 0.061620160937309265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3340/10000 [7:23:27<21:41:54, 11.73s/it]
                                                         
{'loss': 2.183, 'grad_norm': 2.8305504322052, 'learning_rate': 3.976143509544843e-05, 'epoch': 0.03}

 33%|███▎      | 3340/10000 [7:23:27<21:41:54, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0134369134902954, dino_loss: 0.703125, depth_loss: 0.05998026579618454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9831199645996094, dino_loss: 0.671875, depth_loss: 0.057663463056087494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3341/10000 [7:23:39<21:47:51, 11.78s/it]
                                                         
{'loss': 2.3004, 'grad_norm': 4.703127384185791, 'learning_rate': 3.975476196888543e-05, 'epoch': 0.03}

 33%|███▎      | 3341/10000 [7:23:39<21:47:51, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8668745160102844, dino_loss: 0.6953125, depth_loss: 0.05309586971998215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8913377523422241, dino_loss: 0.69140625, depth_loss: 0.06869189441204071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3342/10000 [7:23:51<22:15:44, 12.04s/it]
                                                         
{'loss': 2.5213, 'grad_norm': 7.930714130401611, 'learning_rate': 3.9748087228763844e-05, 'epoch': 0.03}

 33%|███▎      | 3342/10000 [7:23:51<22:15:44, 12.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9541031122207642, dino_loss: 0.77734375, depth_loss: 0.06395865976810455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7197218537330627, dino_loss: 0.671875, depth_loss: 0.05743318051099777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3343/10000 [7:24:03<22:05:47, 11.95s/it]
                                                         
{'loss': 2.293, 'grad_norm': 2.686542272567749, 'learning_rate': 3.974141087581361e-05, 'epoch': 0.03}

 33%|███▎      | 3343/10000 [7:24:03<22:05:47, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8789465427398682, dino_loss: 0.75390625, depth_loss: 0.08063063025474548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9615839123725891, dino_loss: 0.73046875, depth_loss: 0.06121820956468582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3344/10000 [7:24:15<22:03:17, 11.93s/it]
                                                         
{'loss': 2.2831, 'grad_norm': 2.839146614074707, 'learning_rate': 3.973473291076485e-05, 'epoch': 0.03}

 33%|███▎      | 3344/10000 [7:24:15<22:03:17, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.818970799446106, dino_loss: 0.66015625, depth_loss: 0.07157645374536514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7438452243804932, dino_loss: 0.64453125, depth_loss: 0.048143528401851654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3345/10000 [7:24:27<22:01:23, 11.91s/it]
                                                         
{'loss': 1.8813, 'grad_norm': 2.9863083362579346, 'learning_rate': 3.972805333434784e-05, 'epoch': 0.03}

 33%|███▎      | 3345/10000 [7:24:27<22:01:23, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0498071908950806, dino_loss: 0.73828125, depth_loss: 0.0654798373579979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9015389680862427, dino_loss: 0.68359375, depth_loss: 0.05902181565761566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3346/10000 [7:24:39<21:54:50, 11.86s/it]
                                                         
{'loss': 2.509, 'grad_norm': 2.3055953979492188, 'learning_rate': 3.972137214729307e-05, 'epoch': 0.03}

 33%|███▎      | 3346/10000 [7:24:39<21:54:50, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8532936573028564, dino_loss: 0.69921875, depth_loss: 0.06724926829338074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9300194978713989, dino_loss: 0.734375, depth_loss: 0.06545621156692505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3347/10000 [7:24:50<21:28:38, 11.62s/it]
                                                         
{'loss': 2.0259, 'grad_norm': 2.144429922103882, 'learning_rate': 3.971468935033118e-05, 'epoch': 0.03}

 33%|███▎      | 3347/10000 [7:24:50<21:28:38, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7869167327880859, dino_loss: 0.72265625, depth_loss: 0.07713410258293152, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9868173599243164, dino_loss: 0.62109375, depth_loss: 0.06881962716579437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3348/10000 [7:25:01<21:09:38, 11.45s/it]
                                                         
{'loss': 2.0985, 'grad_norm': 2.1168861389160156, 'learning_rate': 3.970800494419298e-05, 'epoch': 0.03}

 33%|███▎      | 3348/10000 [7:25:01<21:09:38, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9855751395225525, dino_loss: 0.69140625, depth_loss: 0.06716962158679962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8096413612365723, dino_loss: 0.609375, depth_loss: 0.04573465511202812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 33%|███▎      | 3349/10000 [7:25:12<21:13:29, 11.49s/it]
                                                         
{'loss': 2.1029, 'grad_norm': 3.5302653312683105, 'learning_rate': 3.970131892960948e-05, 'epoch': 0.03}

 33%|███▎      | 3349/10000 [7:25:12<21:13:29, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9443768262863159, dino_loss: 0.6953125, depth_loss: 0.07603494822978973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9073125123977661, dino_loss: 0.72265625, depth_loss: 0.0690322294831276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3350/10000 [7:25:24<21:16:58, 11.52s/it]
                                                         
{'loss': 2.5394, 'grad_norm': 2.5670557022094727, 'learning_rate': 3.969463130731183e-05, 'epoch': 0.03}

 34%|███▎      | 3350/10000 [7:25:24<21:16:58, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9760011434555054, dino_loss: 0.74609375, depth_loss: 0.0614892803132534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9872636795043945, dino_loss: 0.6875, depth_loss: 0.06421352922916412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3351/10000 [7:25:35<21:15:42, 11.51s/it]
                                                         
{'loss': 2.4346, 'grad_norm': 2.6002748012542725, 'learning_rate': 3.9687942078031404e-05, 'epoch': 0.03}

 34%|███▎      | 3351/10000 [7:25:36<21:15:42, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.850393533706665, dino_loss: 0.7109375, depth_loss: 0.05769471824169159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9636375904083252, dino_loss: 0.6484375, depth_loss: 0.0641883909702301, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3352/10000 [7:25:48<21:45:04, 11.78s/it]
                                                         
{'loss': 2.3692, 'grad_norm': 4.314457893371582, 'learning_rate': 3.968125124249971e-05, 'epoch': 0.03}

 34%|███▎      | 3352/10000 [7:25:48<21:45:04, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8806271553039551, dino_loss: 0.73828125, depth_loss: 0.06160379573702812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7770992517471313, dino_loss: 0.71484375, depth_loss: 0.05874008685350418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3353/10000 [7:26:00<21:49:50, 11.82s/it]
                                                         
{'loss': 2.1556, 'grad_norm': 5.1201677322387695, 'learning_rate': 3.967455880144846e-05, 'epoch': 0.03}

 34%|███▎      | 3353/10000 [7:26:00<21:49:50, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8943859338760376, dino_loss: 0.69921875, depth_loss: 0.052661798894405365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.966227650642395, dino_loss: 0.73828125, depth_loss: 0.06979922205209732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3354/10000 [7:26:11<21:35:11, 11.69s/it]
                                                         
{'loss': 1.9721, 'grad_norm': 2.8871092796325684, 'learning_rate': 3.966786475560952e-05, 'epoch': 0.03}

 34%|███▎      | 3354/10000 [7:26:11<21:35:11, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8088427186012268, dino_loss: 0.67578125, depth_loss: 0.07271510362625122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9035707116127014, dino_loss: 0.66015625, depth_loss: 0.05452875792980194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3355/10000 [7:26:23<21:45:32, 11.79s/it]
                                                         
{'loss': 2.4281, 'grad_norm': 1.761716365814209, 'learning_rate': 3.966116910571494e-05, 'epoch': 0.03}

 34%|███▎      | 3355/10000 [7:26:23<21:45:32, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.007904291152954, dino_loss: 0.671875, depth_loss: 0.06254048645496368, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8747526407241821, dino_loss: 0.671875, depth_loss: 0.052815355360507965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3356/10000 [7:26:36<22:22:48, 12.13s/it]
                                                         
{'loss': 2.6429, 'grad_norm': 1.8951971530914307, 'learning_rate': 3.965447185249695e-05, 'epoch': 0.03}

 34%|███▎      | 3356/10000 [7:26:36<22:22:48, 12.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7616869211196899, dino_loss: 0.6171875, depth_loss: 0.04073552042245865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0787001848220825, dino_loss: 0.703125, depth_loss: 0.07658310234546661, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3357/10000 [7:26:47<21:56:23, 11.89s/it]
                                                         
{'loss': 1.6466, 'grad_norm': 3.2166872024536133, 'learning_rate': 3.964777299668795e-05, 'epoch': 0.03}

 34%|███▎      | 3357/10000 [7:26:47<21:56:23, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9270738363265991, dino_loss: 0.6875, depth_loss: 0.05537453293800354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7225795388221741, dino_loss: 0.67578125, depth_loss: 0.05116152763366699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3358/10000 [7:26:59<21:43:36, 11.78s/it]
                                                         
{'loss': 2.1426, 'grad_norm': 3.0291852951049805, 'learning_rate': 3.964107253902052e-05, 'epoch': 0.03}

 34%|███▎      | 3358/10000 [7:26:59<21:43:36, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9541478157043457, dino_loss: 0.73046875, depth_loss: 0.06922357529401779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.980500340461731, dino_loss: 0.7109375, depth_loss: 0.0679381936788559, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3359/10000 [7:27:10<21:22:09, 11.58s/it]
                                                         
{'loss': 1.9312, 'grad_norm': 2.273714065551758, 'learning_rate': 3.963437048022741e-05, 'epoch': 0.03}

 34%|███▎      | 3359/10000 [7:27:10<21:22:09, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9647714495658875, dino_loss: 0.69140625, depth_loss: 0.05820779502391815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8250600099563599, dino_loss: 0.66796875, depth_loss: 0.06442631781101227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3360/10000 [7:27:22<21:21:15, 11.58s/it]
                                                         
{'loss': 2.1421, 'grad_norm': 2.817186117172241, 'learning_rate': 3.9627666821041545e-05, 'epoch': 0.03}

 34%|███▎      | 3360/10000 [7:27:22<21:21:15, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7927120923995972, dino_loss: 0.6953125, depth_loss: 0.052766699343919754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.852582573890686, dino_loss: 0.70703125, depth_loss: 0.07446026057004929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3361/10000 [7:27:33<21:07:03, 11.45s/it]
                                                         
{'loss': 1.947, 'grad_norm': 2.3357627391815186, 'learning_rate': 3.962096156219603e-05, 'epoch': 0.03}

 34%|███▎      | 3361/10000 [7:27:33<21:07:03, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0035390853881836, dino_loss: 0.7421875, depth_loss: 0.0687214806675911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9433807730674744, dino_loss: 0.7578125, depth_loss: 0.060268618166446686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3362/10000 [7:27:45<21:19:58, 11.57s/it]
                                                         
{'loss': 2.6012, 'grad_norm': 4.068572044372559, 'learning_rate': 3.9614254704424134e-05, 'epoch': 0.03}

 34%|███▎      | 3362/10000 [7:27:45<21:19:58, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8893467783927917, dino_loss: 0.75, depth_loss: 0.06339003145694733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8915523290634155, dino_loss: 0.703125, depth_loss: 0.06480097025632858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3363/10000 [7:27:56<21:19:52, 11.57s/it]
                                                         
{'loss': 2.4563, 'grad_norm': 2.0846500396728516, 'learning_rate': 3.960754624845932e-05, 'epoch': 0.03}

 34%|███▎      | 3363/10000 [7:27:56<21:19:52, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7341535091400146, dino_loss: 0.71875, depth_loss: 0.049997273832559586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9700384736061096, dino_loss: 0.73828125, depth_loss: 0.06804868578910828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3364/10000 [7:28:08<21:36:49, 11.73s/it]
                                                         
{'loss': 2.1892, 'grad_norm': 2.2644717693328857, 'learning_rate': 3.960083619503522e-05, 'epoch': 0.03}

 34%|███▎      | 3364/10000 [7:28:08<21:36:49, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9389404058456421, dino_loss: 0.7421875, depth_loss: 0.04985956847667694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9880193471908569, dino_loss: 0.68359375, depth_loss: 0.05462395399808884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3365/10000 [7:28:21<22:03:59, 11.97s/it]
                                                         
{'loss': 2.331, 'grad_norm': 3.585670232772827, 'learning_rate': 3.9594124544885615e-05, 'epoch': 0.03}

 34%|███▎      | 3365/10000 [7:28:21<22:03:59, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8707469701766968, dino_loss: 0.62890625, depth_loss: 0.03853253647685051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.931715726852417, dino_loss: 0.70703125, depth_loss: 0.09056928008794785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3366/10000 [7:28:33<21:57:21, 11.91s/it]
                                                         
{'loss': 2.3478, 'grad_norm': 4.506518363952637, 'learning_rate': 3.95874112987445e-05, 'epoch': 0.03}

 34%|███▎      | 3366/10000 [7:28:33<21:57:21, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8347072601318359, dino_loss: 0.703125, depth_loss: 0.07637263834476471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7943059206008911, dino_loss: 0.65625, depth_loss: 0.05407331883907318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3367/10000 [7:28:44<21:46:41, 11.82s/it]
                                                         
{'loss': 1.7625, 'grad_norm': 6.630534648895264, 'learning_rate': 3.958069645734601e-05, 'epoch': 0.03}

 34%|███▎      | 3367/10000 [7:28:44<21:46:41, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0336742401123047, dino_loss: 0.703125, depth_loss: 0.07566671073436737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8960268497467041, dino_loss: 0.73828125, depth_loss: 0.07396584749221802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3368/10000 [7:28:56<21:39:10, 11.75s/it]
                                                         
{'loss': 2.1734, 'grad_norm': 4.274195671081543, 'learning_rate': 3.957398002142448e-05, 'epoch': 0.03}

 34%|███▎      | 3368/10000 [7:28:56<21:39:10, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.9533088803291321, dino_loss: 0.7109375, depth_loss: 0.07848083972930908, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8752333521842957, dino_loss: 0.67578125, depth_loss: 0.06749677658081055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3369/10000 [7:29:07<21:28:36, 11.66s/it]
                                                         
{'loss': 2.0906, 'grad_norm': 2.912423610687256, 'learning_rate': 3.9567261991714404e-05, 'epoch': 0.03}

 34%|███▎      | 3369/10000 [7:29:07<21:28:36, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9038792848587036, dino_loss: 0.671875, depth_loss: 0.05030418932437897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0058070421218872, dino_loss: 0.74609375, depth_loss: 0.06912639737129211, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3370/10000 [7:29:19<21:24:11, 11.62s/it]
                                                         
{'loss': 2.2409, 'grad_norm': 1.808295726776123, 'learning_rate': 3.956054236895046e-05, 'epoch': 0.03}

 34%|███▎      | 3370/10000 [7:29:19<21:24:11, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.958629846572876, dino_loss: 0.703125, depth_loss: 0.06618387252092361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8519200086593628, dino_loss: 0.71484375, depth_loss: 0.053488533943891525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3371/10000 [7:29:30<21:24:49, 11.63s/it]
                                                         
{'loss': 2.1622, 'grad_norm': 3.275714635848999, 'learning_rate': 3.955382115386749e-05, 'epoch': 0.03}

 34%|███▎      | 3371/10000 [7:29:31<21:24:49, 11.63s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.9489793181419373, dino_loss: 0.6953125, depth_loss: 0.05738268792629242, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9578632712364197, dino_loss: 0.74609375, depth_loss: 0.07320760935544968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3372/10000 [7:29:42<21:22:05, 11.61s/it]
                                                         
{'loss': 2.4114, 'grad_norm': 2.9308416843414307, 'learning_rate': 3.954709834720053e-05, 'epoch': 0.03}

 34%|███▎      | 3372/10000 [7:29:42<21:22:05, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.08663010597229, dino_loss: 0.72265625, depth_loss: 0.05901617184281349, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9532231092453003, dino_loss: 0.68359375, depth_loss: 0.05173033848404884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3373/10000 [7:29:54<21:26:53, 11.65s/it]
                                                         
{'loss': 2.59, 'grad_norm': 4.425062656402588, 'learning_rate': 3.954037394968476e-05, 'epoch': 0.03}

 34%|███▎      | 3373/10000 [7:29:54<21:26:53, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9493016004562378, dino_loss: 0.7578125, depth_loss: 0.07766211777925491, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9095335006713867, dino_loss: 0.7265625, depth_loss: 0.06871868669986725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▎      | 3374/10000 [7:30:06<21:28:32, 11.67s/it]
                                                         
{'loss': 2.4855, 'grad_norm': 2.8823471069335938, 'learning_rate': 3.9533647962055555e-05, 'epoch': 0.03}

 34%|███▎      | 3374/10000 [7:30:06<21:28:32, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8662011623382568, dino_loss: 0.76171875, depth_loss: 0.07269816100597382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9860702753067017, dino_loss: 0.72265625, depth_loss: 0.057348258793354034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3375/10000 [7:30:18<21:56:14, 11.92s/it]
                                                         
{'loss': 2.1235, 'grad_norm': 1.5312395095825195, 'learning_rate': 3.952692038504846e-05, 'epoch': 0.03}

 34%|███▍      | 3375/10000 [7:30:18<21:56:14, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.006333589553833, dino_loss: 0.7109375, depth_loss: 0.061497967690229416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0008996725082397, dino_loss: 0.703125, depth_loss: 0.05730715021491051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3376/10000 [7:30:29<21:39:06, 11.77s/it]
                                                         
{'loss': 2.3148, 'grad_norm': 2.9020469188690186, 'learning_rate': 3.9520191219399196e-05, 'epoch': 0.03}

 34%|███▍      | 3376/10000 [7:30:29<21:39:06, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8743665814399719, dino_loss: 0.7265625, depth_loss: 0.06317419558763504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7924650311470032, dino_loss: 0.69921875, depth_loss: 0.07122329622507095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3377/10000 [7:30:41<21:21:35, 11.61s/it]
                                                         
{'loss': 1.9686, 'grad_norm': 4.102804660797119, 'learning_rate': 3.951346046584364e-05, 'epoch': 0.03}

 34%|███▍      | 3377/10000 [7:30:41<21:21:35, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9218732118606567, dino_loss: 0.66015625, depth_loss: 0.06164007633924484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.102425217628479, dino_loss: 0.6953125, depth_loss: 0.07473300397396088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3378/10000 [7:30:52<21:24:22, 11.64s/it]
                                                         
{'loss': 2.1558, 'grad_norm': 3.2844934463500977, 'learning_rate': 3.950672812511788e-05, 'epoch': 0.03}

 34%|███▍      | 3378/10000 [7:30:52<21:24:22, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9292969107627869, dino_loss: 0.73046875, depth_loss: 0.05186846852302551, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8297867774963379, dino_loss: 0.69921875, depth_loss: 0.06297946721315384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3379/10000 [7:31:03<21:03:17, 11.45s/it]
                                                         
{'loss': 2.0539, 'grad_norm': 3.699631690979004, 'learning_rate': 3.949999419795815e-05, 'epoch': 0.03}

 34%|███▍      | 3379/10000 [7:31:03<21:03:17, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8279147148132324, dino_loss: 0.6484375, depth_loss: 0.05669621378183365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.002264380455017, dino_loss: 0.6953125, depth_loss: 0.07267885655164719, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3380/10000 [7:31:15<20:58:26, 11.41s/it]
                                                         
{'loss': 2.1831, 'grad_norm': 2.3833839893341064, 'learning_rate': 3.949325868510083e-05, 'epoch': 0.03}

 34%|███▍      | 3380/10000 [7:31:15<20:58:26, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9009589552879333, dino_loss: 0.66796875, depth_loss: 0.06237812340259552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8610178232192993, dino_loss: 0.640625, depth_loss: 0.05447500944137573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3381/10000 [7:31:27<21:18:48, 11.59s/it]
                                                         
{'loss': 2.2406, 'grad_norm': 3.255063772201538, 'learning_rate': 3.948652158728255e-05, 'epoch': 0.03}

 34%|███▍      | 3381/10000 [7:31:27<21:18:48, 11.59s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.8791041374206543, dino_loss: 0.6875, depth_loss: 0.06185777485370636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7565141320228577, dino_loss: 0.71484375, depth_loss: 0.06511629372835159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3382/10000 [7:31:38<21:00:02, 11.42s/it]
                                                         
{'loss': 1.7855, 'grad_norm': 2.4463796615600586, 'learning_rate': 3.947978290524005e-05, 'epoch': 0.03}

 34%|███▍      | 3382/10000 [7:31:38<21:00:02, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.91706383228302, dino_loss: 0.7265625, depth_loss: 0.07069012522697449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0743154287338257, dino_loss: 0.765625, depth_loss: 0.0698123574256897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3383/10000 [7:31:51<21:47:10, 11.85s/it]
                                                         
{'loss': 2.5838, 'grad_norm': 7.361224174499512, 'learning_rate': 3.9473042639710244e-05, 'epoch': 0.03}

 34%|███▍      | 3383/10000 [7:31:51<21:47:10, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8531849384307861, dino_loss: 0.6796875, depth_loss: 0.05911393463611603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8183031678199768, dino_loss: 0.734375, depth_loss: 0.06065835803747177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3384/10000 [7:32:03<22:13:27, 12.09s/it]
                                                         
{'loss': 2.6096, 'grad_norm': 2.137216091156006, 'learning_rate': 3.9466300791430274e-05, 'epoch': 0.03}

 34%|███▍      | 3384/10000 [7:32:03<22:13:27, 12.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8326520919799805, dino_loss: 0.67578125, depth_loss: 0.0672086551785469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9389995336532593, dino_loss: 0.703125, depth_loss: 0.05957761034369469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3385/10000 [7:32:15<22:14:09, 12.10s/it]
                                                         
{'loss': 2.4389, 'grad_norm': 4.806118488311768, 'learning_rate': 3.945955736113739e-05, 'epoch': 0.03}

 34%|███▍      | 3385/10000 [7:32:15<22:14:09, 12.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9296998977661133, dino_loss: 0.734375, depth_loss: 0.07561123371124268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8844708204269409, dino_loss: 0.68359375, depth_loss: 0.061906665563583374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3386/10000 [7:32:26<21:41:06, 11.80s/it]
                                                         
{'loss': 2.0754, 'grad_norm': 1.2115660905838013, 'learning_rate': 3.9452812349569056e-05, 'epoch': 0.03}

 34%|███▍      | 3386/10000 [7:32:26<21:41:06, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9410912394523621, dino_loss: 0.6875, depth_loss: 0.04833004251122475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9370730519294739, dino_loss: 0.6953125, depth_loss: 0.059276875108480453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3387/10000 [7:32:38<21:31:22, 11.72s/it]
                                                         
{'loss': 1.8421, 'grad_norm': 3.167142391204834, 'learning_rate': 3.944606575746289e-05, 'epoch': 0.03}

 34%|███▍      | 3387/10000 [7:32:38<21:31:22, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8474088907241821, dino_loss: 0.71484375, depth_loss: 0.05848715826869011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9198589324951172, dino_loss: 0.7265625, depth_loss: 0.053355228155851364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3388/10000 [7:32:50<21:32:48, 11.73s/it]
                                                         
{'loss': 2.4891, 'grad_norm': 2.178412914276123, 'learning_rate': 3.943931758555669e-05, 'epoch': 0.03}

 34%|███▍      | 3388/10000 [7:32:50<21:32:48, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8723372220993042, dino_loss: 0.62109375, depth_loss: 0.05728885531425476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9294836521148682, dino_loss: 0.73046875, depth_loss: 0.06692981719970703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3389/10000 [7:33:01<21:32:12, 11.73s/it]
                                                         
{'loss': 1.8387, 'grad_norm': 4.52821683883667, 'learning_rate': 3.9432567834588436e-05, 'epoch': 0.03}

 34%|███▍      | 3389/10000 [7:33:01<21:32:12, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9780054688453674, dino_loss: 0.6953125, depth_loss: 0.057836852967739105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8382670879364014, dino_loss: 0.7109375, depth_loss: 0.06058637425303459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3390/10000 [7:33:13<21:33:03, 11.74s/it]
                                                         
{'loss': 2.4726, 'grad_norm': 7.51453971862793, 'learning_rate': 3.942581650529625e-05, 'epoch': 0.03}

 34%|███▍      | 3390/10000 [7:33:13<21:33:03, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0603458881378174, dino_loss: 0.66015625, depth_loss: 0.07368754595518112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8984968662261963, dino_loss: 0.671875, depth_loss: 0.06931960582733154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3391/10000 [7:33:25<21:22:35, 11.64s/it]
                                                         
{'loss': 2.2018, 'grad_norm': 1.8719274997711182, 'learning_rate': 3.941906359841847e-05, 'epoch': 0.03}

 34%|███▍      | 3391/10000 [7:33:25<21:22:35, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8187082409858704, dino_loss: 0.69140625, depth_loss: 0.06954765319824219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8986458778381348, dino_loss: 0.7109375, depth_loss: 0.07167932391166687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3392/10000 [7:33:36<21:14:41, 11.57s/it]
                                                         
{'loss': 1.8591, 'grad_norm': 4.0125322341918945, 'learning_rate': 3.941230911469358e-05, 'epoch': 0.03}

 34%|███▍      | 3392/10000 [7:33:36<21:14:41, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7803305387496948, dino_loss: 0.765625, depth_loss: 0.0625237375497818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.018881916999817, dino_loss: 0.69921875, depth_loss: 0.07181532680988312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3393/10000 [7:33:47<21:03:16, 11.47s/it]
                                                         
{'loss': 1.926, 'grad_norm': 3.2025041580200195, 'learning_rate': 3.940555305486022e-05, 'epoch': 0.03}

 34%|███▍      | 3393/10000 [7:33:47<21:03:16, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8704956769943237, dino_loss: 0.7421875, depth_loss: 0.05707760900259018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9477306008338928, dino_loss: 0.69921875, depth_loss: 0.06466853618621826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3394/10000 [7:34:00<21:41:33, 11.82s/it]
                                                         
{'loss': 2.6161, 'grad_norm': 3.767312526702881, 'learning_rate': 3.939879541965724e-05, 'epoch': 0.03}

 34%|███▍      | 3394/10000 [7:34:00<21:41:33, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8687524795532227, dino_loss: 0.6953125, depth_loss: 0.05174523964524269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9579382538795471, dino_loss: 0.7109375, depth_loss: 0.08136040717363358, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3395/10000 [7:34:12<21:52:59, 11.93s/it]
                                                         
{'loss': 2.468, 'grad_norm': 2.7026238441467285, 'learning_rate': 3.9392036209823644e-05, 'epoch': 0.03}

 34%|███▍      | 3395/10000 [7:34:12<21:52:59, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8752245306968689, dino_loss: 0.70703125, depth_loss: 0.07186564803123474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0075101852416992, dino_loss: 0.69921875, depth_loss: 0.06458346545696259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3396/10000 [7:34:24<21:45:11, 11.86s/it]
                                                         
{'loss': 2.0348, 'grad_norm': 2.4762394428253174, 'learning_rate': 3.9385275426098605e-05, 'epoch': 0.03}

 34%|███▍      | 3396/10000 [7:34:24<21:45:11, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8656888008117676, dino_loss: 0.69140625, depth_loss: 0.07793315500020981, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0219860076904297, dino_loss: 0.7421875, depth_loss: 0.05683426186442375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3397/10000 [7:34:36<21:47:49, 11.88s/it]
                                                         
{'loss': 2.4539, 'grad_norm': 2.3550844192504883, 'learning_rate': 3.9378513069221475e-05, 'epoch': 0.03}

 34%|███▍      | 3397/10000 [7:34:36<21:47:49, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.933678388595581, dino_loss: 0.7578125, depth_loss: 0.08288832753896713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7451092600822449, dino_loss: 0.7421875, depth_loss: 0.05723251402378082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3398/10000 [7:34:47<21:35:36, 11.77s/it]
                                                         
{'loss': 1.802, 'grad_norm': 2.8706889152526855, 'learning_rate': 3.937174913993177e-05, 'epoch': 0.03}

 34%|███▍      | 3398/10000 [7:34:47<21:35:36, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9347786903381348, dino_loss: 0.71484375, depth_loss: 0.06774654984474182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8572598695755005, dino_loss: 0.65625, depth_loss: 0.07142254710197449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3399/10000 [7:34:59<21:27:34, 11.70s/it]
                                                         
{'loss': 2.1627, 'grad_norm': 3.237880229949951, 'learning_rate': 3.936498363896919e-05, 'epoch': 0.03}

 34%|███▍      | 3399/10000 [7:34:59<21:27:34, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8890740871429443, dino_loss: 0.703125, depth_loss: 0.06667473167181015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8746939897537231, dino_loss: 0.6796875, depth_loss: 0.047970183193683624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3400/10000 [7:35:10<21:15:41, 11.60s/it]
                                                         
{'loss': 2.2797, 'grad_norm': 2.168013095855713, 'learning_rate': 3.935821656707359e-05, 'epoch': 0.03}

 34%|███▍      | 3400/10000 [7:35:10<21:15:41, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8382750749588013, dino_loss: 0.73828125, depth_loss: 0.061164893209934235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8297761678695679, dino_loss: 0.6953125, depth_loss: 0.07134771347045898, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3401/10000 [7:35:22<21:22:33, 11.66s/it]
                                                         
{'loss': 2.2891, 'grad_norm': 2.76772141456604, 'learning_rate': 3.935144792498502e-05, 'epoch': 0.03}

 34%|███▍      | 3401/10000 [7:35:22<21:22:33, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.918592095375061, dino_loss: 0.7265625, depth_loss: 0.06959347426891327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8952884674072266, dino_loss: 0.6875, depth_loss: 0.053850650787353516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3402/10000 [7:35:33<21:08:29, 11.54s/it]
                                                         
{'loss': 2.0659, 'grad_norm': 14.396310806274414, 'learning_rate': 3.934467771344368e-05, 'epoch': 0.03}

 34%|███▍      | 3402/10000 [7:35:33<21:08:29, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8490426540374756, dino_loss: 0.68359375, depth_loss: 0.07587823271751404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7514141798019409, dino_loss: 0.5859375, depth_loss: 0.05978258699178696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3403/10000 [7:35:45<21:13:59, 11.59s/it]
                                                         
{'loss': 1.7816, 'grad_norm': 3.376431941986084, 'learning_rate': 3.9337905933189956e-05, 'epoch': 0.03}

 34%|███▍      | 3403/10000 [7:35:45<21:13:59, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8730039596557617, dino_loss: 0.671875, depth_loss: 0.06128308176994324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9119225740432739, dino_loss: 0.69921875, depth_loss: 0.0666254311800003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3404/10000 [7:35:57<21:21:40, 11.66s/it]
                                                         
{'loss': 2.2886, 'grad_norm': 2.7424492835998535, 'learning_rate': 3.933113258496439e-05, 'epoch': 0.03}

 34%|███▍      | 3404/10000 [7:35:57<21:21:40, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.3347899913787842, dino_loss: 0.6328125, depth_loss: 0.06014908850193024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9420458078384399, dino_loss: 0.73828125, depth_loss: 0.07302609831094742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3405/10000 [7:36:08<21:00:28, 11.47s/it]
                                                         
{'loss': 2.0306, 'grad_norm': 5.084122657775879, 'learning_rate': 3.932435766950772e-05, 'epoch': 0.03}

 34%|███▍      | 3405/10000 [7:36:08<21:00:28, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7077378034591675, dino_loss: 0.6328125, depth_loss: 0.06703317910432816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0068435668945312, dino_loss: 0.7109375, depth_loss: 0.06851807236671448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3406/10000 [7:36:20<21:10:57, 11.56s/it]
                                                         
{'loss': 2.2853, 'grad_norm': 3.826967239379883, 'learning_rate': 3.931758118756082e-05, 'epoch': 0.03}

 34%|███▍      | 3406/10000 [7:36:20<21:10:57, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7877320051193237, dino_loss: 0.69140625, depth_loss: 0.07177873700857162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8589571714401245, dino_loss: 0.765625, depth_loss: 0.07346711307764053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3407/10000 [7:36:32<21:42:26, 11.85s/it]
                                                         
{'loss': 2.3815, 'grad_norm': 3.463902711868286, 'learning_rate': 3.9310803139864775e-05, 'epoch': 0.03}

 34%|███▍      | 3407/10000 [7:36:32<21:42:26, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7877098917961121, dino_loss: 0.66796875, depth_loss: 0.05953023582696915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9797853231430054, dino_loss: 0.71875, depth_loss: 0.05730428919196129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3408/10000 [7:36:45<22:19:03, 12.19s/it]
                                                         
{'loss': 2.3739, 'grad_norm': 2.788301706314087, 'learning_rate': 3.930402352716082e-05, 'epoch': 0.03}

 34%|███▍      | 3408/10000 [7:36:45<22:19:03, 12.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8936446309089661, dino_loss: 0.71875, depth_loss: 0.05765961855649948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9035588502883911, dino_loss: 0.6875, depth_loss: 0.0562920905649662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3409/10000 [7:36:57<22:26:37, 12.26s/it]
                                                         
{'loss': 2.5058, 'grad_norm': 2.788482427597046, 'learning_rate': 3.9297242350190345e-05, 'epoch': 0.03}

 34%|███▍      | 3409/10000 [7:36:57<22:26:37, 12.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8366122245788574, dino_loss: 0.671875, depth_loss: 0.0611349418759346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9588291049003601, dino_loss: 0.7109375, depth_loss: 0.055777065455913544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3410/10000 [7:37:09<22:16:47, 12.17s/it]
                                                         
{'loss': 2.3603, 'grad_norm': 2.5618627071380615, 'learning_rate': 3.929045960969494e-05, 'epoch': 0.03}

 34%|███▍      | 3410/10000 [7:37:09<22:16:47, 12.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9165875315666199, dino_loss: 0.71875, depth_loss: 0.0745810717344284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 1
the number of masks: 8
seg_loss: 0.9017629623413086, dino_loss: 0.71484375, depth_loss: 0.07643371820449829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3411/10000 [7:37:22<22:27:36, 12.27s/it]
                                                         
{'loss': 2.3993, 'grad_norm': 2.3648533821105957, 'learning_rate': 3.928367530641637e-05, 'epoch': 0.03}

 34%|███▍      | 3411/10000 [7:37:22<22:27:36, 12.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.876858651638031, dino_loss: 0.6953125, depth_loss: 0.06529109925031662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8097339868545532, dino_loss: 0.6640625, depth_loss: 0.07146238535642624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3412/10000 [7:37:34<22:10:59, 12.12s/it]
                                                         
{'loss': 2.0474, 'grad_norm': 4.632047176361084, 'learning_rate': 3.9276889441096534e-05, 'epoch': 0.03}

 34%|███▍      | 3412/10000 [7:37:34<22:10:59, 12.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8378031849861145, dino_loss: 0.67578125, depth_loss: 0.05743687227368355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8904556035995483, dino_loss: 0.671875, depth_loss: 0.06895779073238373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3413/10000 [7:37:45<21:43:06, 11.87s/it]
                                                         
{'loss': 1.9524, 'grad_norm': 2.667696237564087, 'learning_rate': 3.927010201447754e-05, 'epoch': 0.03}

 34%|███▍      | 3413/10000 [7:37:45<21:43:06, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7740123271942139, dino_loss: 0.671875, depth_loss: 0.07313238084316254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9886128902435303, dino_loss: 0.6796875, depth_loss: 0.0568283312022686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3414/10000 [7:37:56<21:25:28, 11.71s/it]
                                                         
{'loss': 2.1821, 'grad_norm': 4.857188701629639, 'learning_rate': 3.9263313027301643e-05, 'epoch': 0.03}

 34%|███▍      | 3414/10000 [7:37:56<21:25:28, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7944337725639343, dino_loss: 0.70703125, depth_loss: 0.06166433170437813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9970688819885254, dino_loss: 0.68359375, depth_loss: 0.05475671961903572, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3415/10000 [7:38:09<21:51:53, 11.95s/it]
                                                         
{'loss': 2.2495, 'grad_norm': 2.435000419616699, 'learning_rate': 3.925652248031127e-05, 'epoch': 0.03}

 34%|███▍      | 3415/10000 [7:38:09<21:51:53, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.779670238494873, dino_loss: 0.64453125, depth_loss: 0.04715266823768616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7770785093307495, dino_loss: 0.67578125, depth_loss: 0.07080520689487457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3416/10000 [7:38:21<21:45:57, 11.90s/it]
                                                         
{'loss': 2.0038, 'grad_norm': 3.0940067768096924, 'learning_rate': 3.924973037424905e-05, 'epoch': 0.03}

 34%|███▍      | 3416/10000 [7:38:21<21:45:57, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9803326725959778, dino_loss: 0.70703125, depth_loss: 0.06523530185222626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9936374425888062, dino_loss: 0.62109375, depth_loss: 0.05599507316946983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3417/10000 [7:38:32<21:41:19, 11.86s/it]
                                                         
{'loss': 2.3598, 'grad_norm': 4.135527610778809, 'learning_rate': 3.924293670985774e-05, 'epoch': 0.03}

 34%|███▍      | 3417/10000 [7:38:32<21:41:19, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.968806266784668, dino_loss: 0.6796875, depth_loss: 0.04312905669212341, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7211776971817017, dino_loss: 0.66796875, depth_loss: 0.05734097585082054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3418/10000 [7:38:44<21:44:00, 11.89s/it]
                                                         
{'loss': 2.1141, 'grad_norm': 2.4166455268859863, 'learning_rate': 3.9236141487880265e-05, 'epoch': 0.03}

 34%|███▍      | 3418/10000 [7:38:44<21:44:00, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9557514190673828, dino_loss: 0.66796875, depth_loss: 0.06901387870311737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9372118711471558, dino_loss: 0.734375, depth_loss: 0.06146260350942612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3419/10000 [7:38:56<21:40:25, 11.86s/it]
                                                         
{'loss': 2.3393, 'grad_norm': 3.100841760635376, 'learning_rate': 3.922934470905978e-05, 'epoch': 0.03}

 34%|███▍      | 3419/10000 [7:38:56<21:40:25, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8631433844566345, dino_loss: 0.74609375, depth_loss: 0.07677789032459259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.876120924949646, dino_loss: 0.7421875, depth_loss: 0.06395979225635529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3420/10000 [7:39:08<21:40:52, 11.86s/it]
                                                         
{'loss': 1.9561, 'grad_norm': 2.947150707244873, 'learning_rate': 3.9222546374139533e-05, 'epoch': 0.03}

 34%|███▍      | 3420/10000 [7:39:08<21:40:52, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.860379695892334, dino_loss: 0.7109375, depth_loss: 0.0759035274386406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7676235437393188, dino_loss: 0.69140625, depth_loss: 0.05454527586698532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3421/10000 [7:39:20<21:33:41, 11.80s/it]
                                                         
{'loss': 2.0491, 'grad_norm': 2.8060672283172607, 'learning_rate': 3.9215746483863015e-05, 'epoch': 0.03}

 34%|███▍      | 3421/10000 [7:39:20<21:33:41, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.94524085521698, dino_loss: 0.73046875, depth_loss: 0.0626629963517189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9626350402832031, dino_loss: 0.75, depth_loss: 0.06092478334903717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3422/10000 [7:39:31<21:15:31, 11.63s/it]
                                                         
{'loss': 2.2992, 'grad_norm': 3.410832166671753, 'learning_rate': 3.920894503897382e-05, 'epoch': 0.03}

 34%|███▍      | 3422/10000 [7:39:31<21:15:31, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9200748801231384, dino_loss: 0.76171875, depth_loss: 0.05225588381290436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7778942584991455, dino_loss: 0.6328125, depth_loss: 0.05052357539534569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3423/10000 [7:39:43<21:14:08, 11.62s/it]
                                                         
{'loss': 1.9678, 'grad_norm': 2.7189183235168457, 'learning_rate': 3.920214204021577e-05, 'epoch': 0.03}

 34%|███▍      | 3423/10000 [7:39:43<21:14:08, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7343482375144958, dino_loss: 0.63671875, depth_loss: 0.05414401367306709, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0119061470031738, dino_loss: 0.78515625, depth_loss: 0.07412980496883392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3424/10000 [7:39:54<21:14:39, 11.63s/it]
                                                         
{'loss': 1.9027, 'grad_norm': 2.5408122539520264, 'learning_rate': 3.919533748833282e-05, 'epoch': 0.03}

 34%|███▍      | 3424/10000 [7:39:54<21:14:39, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.780707597732544, dino_loss: 0.62109375, depth_loss: 0.04960225149989128, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9599409103393555, dino_loss: 0.734375, depth_loss: 0.0643923208117485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3425/10000 [7:40:06<21:31:18, 11.78s/it]
                                                         
{'loss': 2.4024, 'grad_norm': 2.4887120723724365, 'learning_rate': 3.9188531384069096e-05, 'epoch': 0.03}

 34%|███▍      | 3425/10000 [7:40:06<21:31:18, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8361377716064453, dino_loss: 0.64453125, depth_loss: 0.06172014772891998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8096156716346741, dino_loss: 0.6796875, depth_loss: 0.057591088116168976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3426/10000 [7:40:17<20:57:13, 11.47s/it]
                                                         
{'loss': 1.659, 'grad_norm': 3.362849473953247, 'learning_rate': 3.9181723728168916e-05, 'epoch': 0.03}

 34%|███▍      | 3426/10000 [7:40:17<20:57:13, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.930347204208374, dino_loss: 0.7265625, depth_loss: 0.06041932478547096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9695638418197632, dino_loss: 0.73046875, depth_loss: 0.06732291728258133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3427/10000 [7:40:29<21:06:15, 11.56s/it]
                                                         
{'loss': 1.971, 'grad_norm': 3.779282569885254, 'learning_rate': 3.9174914521376746e-05, 'epoch': 0.03}

 34%|███▍      | 3427/10000 [7:40:29<21:06:15, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7440566420555115, dino_loss: 0.66796875, depth_loss: 0.0597749762237072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 2
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6588277816772461, dino_loss: 0.66015625, depth_loss: 0.05526391789317131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3428/10000 [7:40:41<21:32:59, 11.80s/it]
                                                         
{'loss': 1.7633, 'grad_norm': 2.7899739742279053, 'learning_rate': 3.9168103764437243e-05, 'epoch': 0.03}

 34%|███▍      | 3428/10000 [7:40:41<21:32:59, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8345447778701782, dino_loss: 0.640625, depth_loss: 0.061661701649427414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0295497179031372, dino_loss: 0.6875, depth_loss: 0.06400597840547562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3429/10000 [7:40:54<22:03:59, 12.09s/it]
                                                         
{'loss': 2.4606, 'grad_norm': 2.0956947803497314, 'learning_rate': 3.9161291458095214e-05, 'epoch': 0.03}

 34%|███▍      | 3429/10000 [7:40:54<22:03:59, 12.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8038482666015625, dino_loss: 0.6484375, depth_loss: 0.05177566781640053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0323925018310547, dino_loss: 0.7265625, depth_loss: 0.06668045371770859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3430/10000 [7:41:06<21:50:31, 11.97s/it]
                                                         
{'loss': 2.1094, 'grad_norm': 3.3182578086853027, 'learning_rate': 3.915447760309564e-05, 'epoch': 0.03}

 34%|███▍      | 3430/10000 [7:41:06<21:50:31, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9395758509635925, dino_loss: 0.6640625, depth_loss: 0.06692926585674286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9503988027572632, dino_loss: 0.71484375, depth_loss: 0.0589706189930439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3431/10000 [7:41:17<21:40:31, 11.88s/it]
                                                         
{'loss': 2.4758, 'grad_norm': 3.026423215866089, 'learning_rate': 3.9147662200183675e-05, 'epoch': 0.03}

 34%|███▍      | 3431/10000 [7:41:17<21:40:31, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0096793174743652, dino_loss: 0.7109375, depth_loss: 0.0685245543718338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.898725688457489, dino_loss: 0.66015625, depth_loss: 0.07450024783611298, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3432/10000 [7:41:29<21:31:18, 11.80s/it]
                                                         
{'loss': 2.337, 'grad_norm': 2.713522434234619, 'learning_rate': 3.914084525010464e-05, 'epoch': 0.03}

 34%|███▍      | 3432/10000 [7:41:29<21:31:18, 11.80s/it]the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9003877639770508, dino_loss: 0.70703125, depth_loss: 0.05360957980155945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 1.0235695838928223, dino_loss: 0.7109375, depth_loss: 0.05589275807142258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3433/10000 [7:41:40<21:05:11, 11.56s/it]
                                                         
{'loss': 2.3312, 'grad_norm': 1.9852533340454102, 'learning_rate': 3.9134026753604034e-05, 'epoch': 0.03}

 34%|███▍      | 3433/10000 [7:41:40<21:05:11, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8684167861938477, dino_loss: 0.75, depth_loss: 0.07680703699588776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9412867426872253, dino_loss: 0.6484375, depth_loss: 0.06833749264478683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3434/10000 [7:41:51<21:00:04, 11.51s/it]
                                                         
{'loss': 2.2589, 'grad_norm': 2.825181245803833, 'learning_rate': 3.912720671142751e-05, 'epoch': 0.03}

 34%|███▍      | 3434/10000 [7:41:51<21:00:04, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.819632887840271, dino_loss: 0.66015625, depth_loss: 0.05317092686891556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8633803725242615, dino_loss: 0.69140625, depth_loss: 0.06216556578874588, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3435/10000 [7:42:03<21:10:10, 11.61s/it]
                                                         
{'loss': 2.0681, 'grad_norm': 4.129382610321045, 'learning_rate': 3.9120385124320894e-05, 'epoch': 0.03}

 34%|███▍      | 3435/10000 [7:42:03<21:10:10, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.9464065432548523, dino_loss: 0.67578125, depth_loss: 0.06466826796531677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9262385964393616, dino_loss: 0.6875, depth_loss: 0.062008436769247055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3436/10000 [7:42:15<21:10:34, 11.61s/it]
                                                         
{'loss': 2.0795, 'grad_norm': 5.5702362060546875, 'learning_rate': 3.91135619930302e-05, 'epoch': 0.03}

 34%|███▍      | 3436/10000 [7:42:15<21:10:34, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9067356586456299, dino_loss: 0.7265625, depth_loss: 0.06732195615768433, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8285952806472778, dino_loss: 0.72265625, depth_loss: 0.07071398198604584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3437/10000 [7:42:28<21:55:33, 12.03s/it]
                                                         
{'loss': 2.4848, 'grad_norm': 2.4617063999176025, 'learning_rate': 3.9106737318301575e-05, 'epoch': 0.03}

 34%|███▍      | 3437/10000 [7:42:28<21:55:33, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7889611124992371, dino_loss: 0.6875, depth_loss: 0.06755737215280533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7058992981910706, dino_loss: 0.64453125, depth_loss: 0.061336949467659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3438/10000 [7:42:40<21:47:30, 11.96s/it]
                                                         
{'loss': 1.6981, 'grad_norm': 1.8230080604553223, 'learning_rate': 3.909991110088138e-05, 'epoch': 0.03}

 34%|███▍      | 3438/10000 [7:42:40<21:47:30, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9258450269699097, dino_loss: 0.70703125, depth_loss: 0.059067513793706894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9508249163627625, dino_loss: 0.75, depth_loss: 0.05792400240898132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3439/10000 [7:42:51<21:40:59, 11.90s/it]
                                                         
{'loss': 2.6906, 'grad_norm': 3.931959629058838, 'learning_rate': 3.90930833415161e-05, 'epoch': 0.03}

 34%|███▍      | 3439/10000 [7:42:51<21:40:59, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8222742080688477, dino_loss: 0.69921875, depth_loss: 0.06246398016810417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8499667644500732, dino_loss: 0.703125, depth_loss: 0.05916501581668854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3440/10000 [7:43:03<21:27:53, 11.78s/it]
                                                         
{'loss': 2.1478, 'grad_norm': 2.2901222705841064, 'learning_rate': 3.9086254040952416e-05, 'epoch': 0.03}

 34%|███▍      | 3440/10000 [7:43:03<21:27:53, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9277511835098267, dino_loss: 0.7265625, depth_loss: 0.05971411243081093, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9172394275665283, dino_loss: 0.74609375, depth_loss: 0.07275035977363586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3441/10000 [7:43:14<21:04:52, 11.57s/it]
                                                         
{'loss': 2.0706, 'grad_norm': 2.9115920066833496, 'learning_rate': 3.907942319993717e-05, 'epoch': 0.03}

 34%|███▍      | 3441/10000 [7:43:14<21:04:52, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1216106414794922, dino_loss: 0.7109375, depth_loss: 0.058656223118305206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9693654775619507, dino_loss: 0.703125, depth_loss: 0.09852033108472824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3442/10000 [7:43:26<21:11:05, 11.63s/it]
                                                         
{'loss': 2.0645, 'grad_norm': 3.176612377166748, 'learning_rate': 3.907259081921736e-05, 'epoch': 0.03}

 34%|███▍      | 3442/10000 [7:43:26<21:11:05, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9207746982574463, dino_loss: 0.7109375, depth_loss: 0.06229284405708313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8978480100631714, dino_loss: 0.72265625, depth_loss: 0.08016429841518402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3443/10000 [7:43:37<21:09:33, 11.62s/it]
                                                         
{'loss': 2.35, 'grad_norm': 2.2572555541992188, 'learning_rate': 3.906575689954018e-05, 'epoch': 0.03}

 34%|███▍      | 3443/10000 [7:43:37<21:09:33, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9894322752952576, dino_loss: 0.6875, depth_loss: 0.06477383524179459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8290554285049438, dino_loss: 0.71484375, depth_loss: 0.06869816035032272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3444/10000 [7:43:49<21:11:57, 11.64s/it]
                                                         
{'loss': 2.3909, 'grad_norm': 2.604419231414795, 'learning_rate': 3.9058921441652984e-05, 'epoch': 0.03}

 34%|███▍      | 3444/10000 [7:43:49<21:11:57, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8683360815048218, dino_loss: 0.6640625, depth_loss: 0.058346956968307495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8682015538215637, dino_loss: 0.6875, depth_loss: 0.06582125276327133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3445/10000 [7:44:00<21:03:29, 11.57s/it]
                                                         
{'loss': 2.0618, 'grad_norm': 1.925861120223999, 'learning_rate': 3.905208444630327e-05, 'epoch': 0.03}

 34%|███▍      | 3445/10000 [7:44:00<21:03:29, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0078662633895874, dino_loss: 0.71875, depth_loss: 0.07698199152946472, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0378220081329346, dino_loss: 0.6640625, depth_loss: 0.056489892303943634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3446/10000 [7:44:11<20:45:24, 11.40s/it]
                                                         
{'loss': 1.9996, 'grad_norm': 4.320574760437012, 'learning_rate': 3.904524591423872e-05, 'epoch': 0.03}

 34%|███▍      | 3446/10000 [7:44:11<20:45:24, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.923206627368927, dino_loss: 0.72265625, depth_loss: 0.05641230195760727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0529139041900635, dino_loss: 0.7109375, depth_loss: 0.07273761183023453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3447/10000 [7:44:23<20:47:33, 11.42s/it]
                                                         
{'loss': 2.2015, 'grad_norm': 3.2505104541778564, 'learning_rate': 3.90384058462072e-05, 'epoch': 0.03}

 34%|███▍      | 3447/10000 [7:44:23<20:47:33, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.811763346195221, dino_loss: 0.640625, depth_loss: 0.05520226061344147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8792800903320312, dino_loss: 0.6875, depth_loss: 0.042609550058841705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3448/10000 [7:44:34<20:43:39, 11.39s/it]
                                                         
{'loss': 1.568, 'grad_norm': 2.256129264831543, 'learning_rate': 3.903156424295673e-05, 'epoch': 0.03}

 34%|███▍      | 3448/10000 [7:44:34<20:43:39, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9227666854858398, dino_loss: 0.6875, depth_loss: 0.06549328565597534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8019167184829712, dino_loss: 0.6484375, depth_loss: 0.05883099511265755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3449/10000 [7:44:46<20:49:15, 11.44s/it]
                                                         
{'loss': 2.145, 'grad_norm': 3.204224109649658, 'learning_rate': 3.9024721105235485e-05, 'epoch': 0.03}

 34%|███▍      | 3449/10000 [7:44:46<20:49:15, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.91159588098526, dino_loss: 0.7421875, depth_loss: 0.07927011698484421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9351094365119934, dino_loss: 0.6484375, depth_loss: 0.06507355719804764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 34%|███▍      | 3450/10000 [7:44:57<20:53:34, 11.48s/it]
                                                         
{'loss': 2.5395, 'grad_norm': 2.9753270149230957, 'learning_rate': 3.901787643379182e-05, 'epoch': 0.03}

 34%|███▍      | 3450/10000 [7:44:57<20:53:34, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0242151021957397, dino_loss: 0.69921875, depth_loss: 0.0707579106092453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031962275505066, dino_loss: 0.69921875, depth_loss: 0.0592818520963192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3451/10000 [7:45:08<20:29:58, 11.27s/it]
                                                         
{'loss': 2.0691, 'grad_norm': 2.7557966709136963, 'learning_rate': 3.901103022937427e-05, 'epoch': 0.03}

 35%|███▍      | 3451/10000 [7:45:08<20:29:58, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0022270679473877, dino_loss: 0.71875, depth_loss: 0.06974223256111145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8955559730529785, dino_loss: 0.66796875, depth_loss: 0.06611781567335129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3452/10000 [7:45:19<20:32:40, 11.30s/it]
                                                         
{'loss': 2.2907, 'grad_norm': 6.288999557495117, 'learning_rate': 3.900418249273152e-05, 'epoch': 0.03}

 35%|███▍      | 3452/10000 [7:45:19<20:32:40, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.973942756652832, dino_loss: 0.72265625, depth_loss: 0.058915846049785614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9100697636604309, dino_loss: 0.66015625, depth_loss: 0.06941507011651993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3453/10000 [7:45:31<20:42:09, 11.38s/it]
                                                         
{'loss': 2.2842, 'grad_norm': 2.288966655731201, 'learning_rate': 3.899733322461242e-05, 'epoch': 0.03}

 35%|███▍      | 3453/10000 [7:45:31<20:42:09, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9160167574882507, dino_loss: 0.67578125, depth_loss: 0.05691950395703316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9033457040786743, dino_loss: 0.7265625, depth_loss: 0.062402814626693726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3454/10000 [7:45:43<20:51:23, 11.47s/it]
                                                         
{'loss': 2.3219, 'grad_norm': 4.064635753631592, 'learning_rate': 3.8990482425766006e-05, 'epoch': 0.03}

 35%|███▍      | 3454/10000 [7:45:43<20:51:23, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.162653923034668, dino_loss: 0.66015625, depth_loss: 0.06248209625482559, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7055317163467407, dino_loss: 0.69921875, depth_loss: 0.053916577249765396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3455/10000 [7:45:55<21:08:13, 11.63s/it]
                                                         
{'loss': 2.3082, 'grad_norm': 4.163564205169678, 'learning_rate': 3.898363009694148e-05, 'epoch': 0.03}

 35%|███▍      | 3455/10000 [7:45:55<21:08:13, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8566529750823975, dino_loss: 0.66796875, depth_loss: 0.06527913361787796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8059414625167847, dino_loss: 0.7265625, depth_loss: 0.07727926969528198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3456/10000 [7:46:06<21:04:35, 11.59s/it]
                                                         
{'loss': 2.1214, 'grad_norm': 2.0108954906463623, 'learning_rate': 3.897677623888818e-05, 'epoch': 0.03}

 35%|███▍      | 3456/10000 [7:46:06<21:04:35, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7368102073669434, dino_loss: 0.63671875, depth_loss: 0.05498041957616806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.085776925086975, dino_loss: 0.73828125, depth_loss: 0.07196637988090515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3457/10000 [7:46:18<21:09:37, 11.64s/it]
                                                         
{'loss': 2.542, 'grad_norm': 5.410860061645508, 'learning_rate': 3.8969920852355644e-05, 'epoch': 0.03}

 35%|███▍      | 3457/10000 [7:46:18<21:09:37, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9920381903648376, dino_loss: 0.71484375, depth_loss: 0.06338593363761902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.779326856136322, dino_loss: 0.67578125, depth_loss: 0.06861388683319092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3458/10000 [7:46:30<21:14:26, 11.69s/it]
                                                         
{'loss': 1.9528, 'grad_norm': 2.4267611503601074, 'learning_rate': 3.896306393809357e-05, 'epoch': 0.03}

 35%|███▍      | 3458/10000 [7:46:30<21:14:26, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7656415700912476, dino_loss: 0.60546875, depth_loss: 0.05763581395149231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9259591698646545, dino_loss: 0.75, depth_loss: 0.08006493747234344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3459/10000 [7:46:42<21:21:01, 11.75s/it]
                                                         
{'loss': 2.0964, 'grad_norm': 2.236835479736328, 'learning_rate': 3.895620549685182e-05, 'epoch': 0.03}

 35%|███▍      | 3459/10000 [7:46:42<21:21:01, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9424018263816833, dino_loss: 0.73046875, depth_loss: 0.07638588547706604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9636566638946533, dino_loss: 0.66796875, depth_loss: 0.05861363932490349, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3460/10000 [7:46:53<20:58:24, 11.54s/it]
                                                         
{'loss': 2.2225, 'grad_norm': 6.5997233390808105, 'learning_rate': 3.894934552938041e-05, 'epoch': 0.03}

 35%|███▍      | 3460/10000 [7:46:53<20:58:24, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8633172512054443, dino_loss: 0.71484375, depth_loss: 0.05613715574145317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9250435829162598, dino_loss: 0.73828125, depth_loss: 0.06573968380689621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3461/10000 [7:47:04<21:01:54, 11.58s/it]
                                                         
{'loss': 2.1529, 'grad_norm': 2.4210829734802246, 'learning_rate': 3.894248403642955e-05, 'epoch': 0.03}

 35%|███▍      | 3461/10000 [7:47:04<21:01:54, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9879706501960754, dino_loss: 0.73046875, depth_loss: 0.061443619430065155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0029796361923218, dino_loss: 0.75, depth_loss: 0.06700744479894638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3462/10000 [7:47:17<21:28:21, 11.82s/it]
                                                         
{'loss': 2.2311, 'grad_norm': 3.0609254837036133, 'learning_rate': 3.89356210187496e-05, 'epoch': 0.03}

 35%|███▍      | 3462/10000 [7:47:17<21:28:21, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.730785608291626, dino_loss: 0.6015625, depth_loss: 0.047545164823532104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9416230916976929, dino_loss: 0.7265625, depth_loss: 0.06649167835712433, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3463/10000 [7:47:29<21:26:44, 11.81s/it]
                                                         
{'loss': 2.0448, 'grad_norm': 2.943676471710205, 'learning_rate': 3.892875647709108e-05, 'epoch': 0.03}

 35%|███▍      | 3463/10000 [7:47:29<21:26:44, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9584338068962097, dino_loss: 0.703125, depth_loss: 0.08469613641500473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8586239814758301, dino_loss: 0.6796875, depth_loss: 0.06688397377729416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3464/10000 [7:47:40<21:24:00, 11.79s/it]
                                                         
{'loss': 2.3851, 'grad_norm': 3.7321176528930664, 'learning_rate': 3.8921890412204705e-05, 'epoch': 0.03}

 35%|███▍      | 3464/10000 [7:47:40<21:24:00, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9641741514205933, dino_loss: 0.7265625, depth_loss: 0.06693042814731598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8689303398132324, dino_loss: 0.71875, depth_loss: 0.058696720749139786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3465/10000 [7:47:52<21:18:25, 11.74s/it]
                                                         
{'loss': 2.4986, 'grad_norm': 3.46948504447937, 'learning_rate': 3.891502282484132e-05, 'epoch': 0.03}

 35%|███▍      | 3465/10000 [7:47:52<21:18:25, 11.74s/it]the number of masks: 8
the number of masks: 2
the number of masks: 8
the number of masks: 8
seg_loss: 0.7057288289070129, dino_loss: 0.70703125, depth_loss: 0.07140307128429413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.697644829750061, dino_loss: 0.66796875, depth_loss: 0.06271988898515701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3466/10000 [7:48:03<21:03:38, 11.60s/it]
                                                         
{'loss': 1.4791, 'grad_norm': 2.1093709468841553, 'learning_rate': 3.890815371575196e-05, 'epoch': 0.03}

 35%|███▍      | 3466/10000 [7:48:03<21:03:38, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.016341209411621, dino_loss: 0.6640625, depth_loss: 0.06256765127182007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8000210523605347, dino_loss: 0.65234375, depth_loss: 0.042841836810112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3467/10000 [7:48:15<21:05:18, 11.62s/it]
                                                         
{'loss': 1.9419, 'grad_norm': 4.1963887214660645, 'learning_rate': 3.890128308568782e-05, 'epoch': 0.03}

 35%|███▍      | 3467/10000 [7:48:15<21:05:18, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8467839360237122, dino_loss: 0.66015625, depth_loss: 0.05094778910279274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9138017892837524, dino_loss: 0.69921875, depth_loss: 0.06184648349881172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3468/10000 [7:48:26<20:57:56, 11.55s/it]
                                                         
{'loss': 2.1147, 'grad_norm': 3.144428014755249, 'learning_rate': 3.889441093540026e-05, 'epoch': 0.03}

 35%|███▍      | 3468/10000 [7:48:26<20:57:56, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8458720445632935, dino_loss: 0.69140625, depth_loss: 0.06360992044210434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.032373070716858, dino_loss: 0.71484375, depth_loss: 0.05782773718237877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3469/10000 [7:48:38<20:49:52, 11.48s/it]
                                                         
{'loss': 2.0284, 'grad_norm': 1.9624632596969604, 'learning_rate': 3.888753726564081e-05, 'epoch': 0.03}

 35%|███▍      | 3469/10000 [7:48:38<20:49:52, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9899367094039917, dino_loss: 0.72265625, depth_loss: 0.06264973431825638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7679466009140015, dino_loss: 0.671875, depth_loss: 0.05852465331554413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3470/10000 [7:48:49<20:54:02, 11.52s/it]
                                                         
{'loss': 2.1782, 'grad_norm': 2.9691643714904785, 'learning_rate': 3.888066207716117e-05, 'epoch': 0.03}

 35%|███▍      | 3470/10000 [7:48:49<20:54:02, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7313085794448853, dino_loss: 0.671875, depth_loss: 0.0554511658847332, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0294560194015503, dino_loss: 0.6796875, depth_loss: 0.066238634288311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3471/10000 [7:49:01<20:55:27, 11.54s/it]
                                                         
{'loss': 2.1739, 'grad_norm': 2.1838502883911133, 'learning_rate': 3.887378537071319e-05, 'epoch': 0.03}

 35%|███▍      | 3471/10000 [7:49:01<20:55:27, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9096781015396118, dino_loss: 0.71484375, depth_loss: 0.06972676515579224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.008736252784729, dino_loss: 0.71875, depth_loss: 0.06800871342420578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3472/10000 [7:49:13<21:17:55, 11.75s/it]
                                                         
{'loss': 2.6193, 'grad_norm': 5.128747463226318, 'learning_rate': 3.8866907147048895e-05, 'epoch': 0.03}

 35%|███▍      | 3472/10000 [7:49:13<21:17:55, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.785744845867157, dino_loss: 0.63671875, depth_loss: 0.03710068762302399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.790743350982666, dino_loss: 0.6484375, depth_loss: 0.04963884502649307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3473/10000 [7:49:25<21:26:49, 11.83s/it]
                                                         
{'loss': 2.4331, 'grad_norm': 1.8588112592697144, 'learning_rate': 3.8860027406920494e-05, 'epoch': 0.03}

 35%|███▍      | 3473/10000 [7:49:25<21:26:49, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8231362104415894, dino_loss: 0.66015625, depth_loss: 0.059002697467803955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7967537641525269, dino_loss: 0.67578125, depth_loss: 0.05894514173269272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3474/10000 [7:49:38<21:51:45, 12.06s/it]
                                                         
{'loss': 1.8923, 'grad_norm': 3.0770623683929443, 'learning_rate': 3.8853146151080335e-05, 'epoch': 0.03}

 35%|███▍      | 3474/10000 [7:49:38<21:51:45, 12.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8918156027793884, dino_loss: 0.74609375, depth_loss: 0.05697132274508476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0468990802764893, dino_loss: 0.734375, depth_loss: 0.07418555021286011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3475/10000 [7:49:49<21:40:27, 11.96s/it]
                                                         
{'loss': 2.406, 'grad_norm': 2.2176811695098877, 'learning_rate': 3.884626338028094e-05, 'epoch': 0.03}

 35%|███▍      | 3475/10000 [7:49:49<21:40:27, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0272552967071533, dino_loss: 0.73046875, depth_loss: 0.06377658247947693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.914202094078064, dino_loss: 0.7109375, depth_loss: 0.06623541563749313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3476/10000 [7:50:00<21:08:01, 11.66s/it]
                                                         
{'loss': 1.9828, 'grad_norm': 4.210079193115234, 'learning_rate': 3.8839379095274986e-05, 'epoch': 0.03}

 35%|███▍      | 3476/10000 [7:50:00<21:08:01, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8753663301467896, dino_loss: 0.72265625, depth_loss: 0.05700692906975746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9652666449546814, dino_loss: 0.73828125, depth_loss: 0.0632917732000351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3477/10000 [7:50:11<20:44:33, 11.45s/it]
                                                         
{'loss': 1.7264, 'grad_norm': 3.7623074054718018, 'learning_rate': 3.883249329681535e-05, 'epoch': 0.03}

 35%|███▍      | 3477/10000 [7:50:11<20:44:33, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9754819869995117, dino_loss: 0.6953125, depth_loss: 0.08137761056423187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8447030186653137, dino_loss: 0.703125, depth_loss: 0.05695328488945961, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3478/10000 [7:50:23<20:54:02, 11.54s/it]
                                                         
{'loss': 2.2756, 'grad_norm': 10.11509895324707, 'learning_rate': 3.882560598565504e-05, 'epoch': 0.03}

 35%|███▍      | 3478/10000 [7:50:23<20:54:02, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9520003795623779, dino_loss: 0.72265625, depth_loss: 0.07326331734657288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8581947088241577, dino_loss: 0.7421875, depth_loss: 0.07171203941106796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3479/10000 [7:50:34<20:44:40, 11.45s/it]
                                                         
{'loss': 2.0913, 'grad_norm': 1.971498966217041, 'learning_rate': 3.881871716254726e-05, 'epoch': 0.03}

 35%|███▍      | 3479/10000 [7:50:34<20:44:40, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8559871912002563, dino_loss: 0.74609375, depth_loss: 0.0648266151547432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9032315015792847, dino_loss: 0.71484375, depth_loss: 0.07307791709899902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3480/10000 [7:50:46<20:47:53, 11.48s/it]
                                                         
{'loss': 2.0587, 'grad_norm': 8.41202163696289, 'learning_rate': 3.8811826828245334e-05, 'epoch': 0.03}

 35%|███▍      | 3480/10000 [7:50:46<20:47:53, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9319598078727722, dino_loss: 0.6640625, depth_loss: 0.05886349081993103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7450734376907349, dino_loss: 0.6328125, depth_loss: 0.07693162560462952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3481/10000 [7:50:57<20:36:18, 11.38s/it]
                                                         
{'loss': 1.5714, 'grad_norm': 4.420191764831543, 'learning_rate': 3.8804934983502794e-05, 'epoch': 0.03}

 35%|███▍      | 3481/10000 [7:50:57<20:36:18, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8445387482643127, dino_loss: 0.640625, depth_loss: 0.05342746526002884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.857691764831543, dino_loss: 0.6484375, depth_loss: 0.06530515849590302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3482/10000 [7:51:09<20:52:00, 11.53s/it]
                                                         
{'loss': 2.4808, 'grad_norm': 1.5411851406097412, 'learning_rate': 3.879804162907332e-05, 'epoch': 0.03}

 35%|███▍      | 3482/10000 [7:51:09<20:52:00, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7962881326675415, dino_loss: 0.65625, depth_loss: 0.07375897467136383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9739331007003784, dino_loss: 0.703125, depth_loss: 0.063503198325634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3483/10000 [7:51:21<20:58:53, 11.59s/it]
                                                         
{'loss': 2.4133, 'grad_norm': 3.627286434173584, 'learning_rate': 3.879114676571076e-05, 'epoch': 0.03}

 35%|███▍      | 3483/10000 [7:51:21<20:58:53, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9474636316299438, dino_loss: 0.703125, depth_loss: 0.05712520703673363, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8061528205871582, dino_loss: 0.7109375, depth_loss: 0.060118451714515686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3484/10000 [7:51:32<20:56:04, 11.57s/it]
                                                         
{'loss': 2.2478, 'grad_norm': 3.791470527648926, 'learning_rate': 3.878425039416912e-05, 'epoch': 0.03}

 35%|███▍      | 3484/10000 [7:51:32<20:56:04, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.919372022151947, dino_loss: 0.66796875, depth_loss: 0.06338965892791748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8311086297035217, dino_loss: 0.6953125, depth_loss: 0.07063280045986176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3485/10000 [7:51:43<20:49:35, 11.51s/it]
                                                         
{'loss': 1.6297, 'grad_norm': 3.572005271911621, 'learning_rate': 3.877735251520258e-05, 'epoch': 0.03}

 35%|███▍      | 3485/10000 [7:51:43<20:49:35, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7864157557487488, dino_loss: 0.66015625, depth_loss: 0.0724799856543541, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.9242492914199829, dino_loss: 0.68359375, depth_loss: 0.07689543068408966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3486/10000 [7:51:55<21:02:24, 11.63s/it]
                                                         
{'loss': 2.292, 'grad_norm': 4.798781871795654, 'learning_rate': 3.8770453129565496e-05, 'epoch': 0.03}

 35%|███▍      | 3486/10000 [7:51:55<21:02:24, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8154128789901733, dino_loss: 0.69140625, depth_loss: 0.05386289209127426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592908382415771, dino_loss: 0.68359375, depth_loss: 0.06930069625377655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3487/10000 [7:52:08<21:41:14, 11.99s/it]
                                                         
{'loss': 2.321, 'grad_norm': 5.599769115447998, 'learning_rate': 3.876355223801235e-05, 'epoch': 0.03}

 35%|███▍      | 3487/10000 [7:52:08<21:41:14, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1026136875152588, dino_loss: 0.71484375, depth_loss: 0.07375997304916382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9756581783294678, dino_loss: 0.6953125, depth_loss: 0.06994763761758804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3488/10000 [7:52:20<21:28:01, 11.87s/it]
                                                         
{'loss': 2.3071, 'grad_norm': 1.904028296470642, 'learning_rate': 3.8756649841297824e-05, 'epoch': 0.03}

 35%|███▍      | 3488/10000 [7:52:20<21:28:01, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9743571281433105, dino_loss: 0.6796875, depth_loss: 0.05814393237233162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9738667607307434, dino_loss: 0.671875, depth_loss: 0.06164223700761795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3489/10000 [7:52:33<22:15:03, 12.30s/it]
                                                         
{'loss': 2.3209, 'grad_norm': 4.771520614624023, 'learning_rate': 3.8749745940176765e-05, 'epoch': 0.03}

 35%|███▍      | 3489/10000 [7:52:33<22:15:03, 12.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9009814262390137, dino_loss: 0.6796875, depth_loss: 0.0640374943614006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9359391927719116, dino_loss: 0.69140625, depth_loss: 0.06053493171930313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3490/10000 [7:52:45<22:03:36, 12.20s/it]
                                                         
{'loss': 2.476, 'grad_norm': 1.6609514951705933, 'learning_rate': 3.874284053540416e-05, 'epoch': 0.03}

 35%|███▍      | 3490/10000 [7:52:45<22:03:36, 12.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.97478848695755, dino_loss: 0.703125, depth_loss: 0.0784987285733223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1225776672363281, dino_loss: 0.7265625, depth_loss: 0.07750674337148666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3491/10000 [7:52:56<21:37:15, 11.96s/it]
                                                         
{'loss': 2.3689, 'grad_norm': 4.292078971862793, 'learning_rate': 3.873593362773517e-05, 'epoch': 0.03}

 35%|███▍      | 3491/10000 [7:52:56<21:37:15, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9247552156448364, dino_loss: 0.72265625, depth_loss: 0.061598531901836395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0400713682174683, dino_loss: 0.69140625, depth_loss: 0.05742359161376953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3492/10000 [7:53:08<21:20:27, 11.81s/it]
                                                         
{'loss': 2.1333, 'grad_norm': 4.309085845947266, 'learning_rate': 3.872902521792513e-05, 'epoch': 0.03}

 35%|███▍      | 3492/10000 [7:53:08<21:20:27, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8843388557434082, dino_loss: 0.65234375, depth_loss: 0.05502237379550934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8681766390800476, dino_loss: 0.66015625, depth_loss: 0.05227792263031006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3493/10000 [7:53:19<21:11:59, 11.73s/it]
                                                         
{'loss': 1.6088, 'grad_norm': 7.990841388702393, 'learning_rate': 3.872211530672953e-05, 'epoch': 0.03}

 35%|███▍      | 3493/10000 [7:53:19<21:11:59, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.707034707069397, dino_loss: 0.734375, depth_loss: 0.0647844523191452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7761628031730652, dino_loss: 0.72265625, depth_loss: 0.06377127766609192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3494/10000 [7:53:32<21:23:48, 11.84s/it]
                                                         
{'loss': 2.3859, 'grad_norm': 2.877628803253174, 'learning_rate': 3.871520389490404e-05, 'epoch': 0.03}

 35%|███▍      | 3494/10000 [7:53:32<21:23:48, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8935881853103638, dino_loss: 0.64453125, depth_loss: 0.060985904186964035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.900907039642334, dino_loss: 0.73046875, depth_loss: 0.07536058127880096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3495/10000 [7:53:43<21:21:12, 11.82s/it]
                                                         
{'loss': 2.0941, 'grad_norm': 4.394637584686279, 'learning_rate': 3.870829098320446e-05, 'epoch': 0.03}

 35%|███▍      | 3495/10000 [7:53:43<21:21:12, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9086250066757202, dino_loss: 0.703125, depth_loss: 0.07332542538642883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9244919419288635, dino_loss: 0.6484375, depth_loss: 0.06878018379211426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3496/10000 [7:53:55<21:20:16, 11.81s/it]
                                                         
{'loss': 2.2239, 'grad_norm': 4.008213043212891, 'learning_rate': 3.87013765723868e-05, 'epoch': 0.03}

 35%|███▍      | 3496/10000 [7:53:55<21:20:16, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.021134853363037, dino_loss: 0.7578125, depth_loss: 0.07206784188747406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8986045122146606, dino_loss: 0.66796875, depth_loss: 0.05315999314188957, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3497/10000 [7:54:07<21:09:18, 11.71s/it]
                                                         
{'loss': 2.0962, 'grad_norm': 2.9326043128967285, 'learning_rate': 3.869446066320719e-05, 'epoch': 0.03}

 35%|███▍      | 3497/10000 [7:54:07<21:09:18, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.825250506401062, dino_loss: 0.6640625, depth_loss: 0.05734816566109657, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0906662940979004, dino_loss: 0.71875, depth_loss: 0.06080130115151405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3498/10000 [7:54:19<21:33:44, 11.94s/it]
                                                         
{'loss': 2.4324, 'grad_norm': 2.937758207321167, 'learning_rate': 3.8687543256421955e-05, 'epoch': 0.03}

 35%|███▍      | 3498/10000 [7:54:19<21:33:44, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.915724515914917, dino_loss: 0.6796875, depth_loss: 0.08713411539793015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8536880016326904, dino_loss: 0.67578125, depth_loss: 0.06029617786407471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▍      | 3499/10000 [7:54:30<21:08:29, 11.71s/it]
                                                         
{'loss': 1.8183, 'grad_norm': 4.198010444641113, 'learning_rate': 3.868062435278758e-05, 'epoch': 0.03}

 35%|███▍      | 3499/10000 [7:54:30<21:08:29, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8880506157875061, dino_loss: 0.62890625, depth_loss: 0.04267633706331253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9074122905731201, dino_loss: 0.640625, depth_loss: 0.056763242930173874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3500/10000 [7:54:42<21:24:31, 11.86s/it]
                                                         
{'loss': 2.5114, 'grad_norm': 3.929415464401245, 'learning_rate': 3.867370395306068e-05, 'epoch': 0.03}

 35%|███▌      | 3500/10000 [7:54:42<21:24:31, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.839837372303009, dino_loss: 0.73828125, depth_loss: 0.06461197137832642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9026323556900024, dino_loss: 0.7421875, depth_loss: 0.06986870616674423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3501/10000 [7:54:54<21:00:50, 11.64s/it]
                                                         
{'loss': 2.1723, 'grad_norm': 2.634803295135498, 'learning_rate': 3.866678205799807e-05, 'epoch': 0.03}

 35%|███▌      | 3501/10000 [7:54:54<21:00:50, 11.64s/it]the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.7899759411811829, dino_loss: 0.671875, depth_loss: 0.0627267137169838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6615550518035889, dino_loss: 0.6796875, depth_loss: 0.05943372845649719, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3502/10000 [7:55:05<21:03:44, 11.67s/it]
                                                         
{'loss': 2.1344, 'grad_norm': 2.7829864025115967, 'learning_rate': 3.865985866835673e-05, 'epoch': 0.03}

 35%|███▌      | 3502/10000 [7:55:05<21:03:44, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9462957382202148, dino_loss: 0.6484375, depth_loss: 0.07173627614974976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7610890865325928, dino_loss: 0.734375, depth_loss: 0.06763876229524612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3503/10000 [7:55:17<21:12:43, 11.75s/it]
                                                         
{'loss': 1.7645, 'grad_norm': 4.048957347869873, 'learning_rate': 3.8652933784893784e-05, 'epoch': 0.03}

 35%|███▌      | 3503/10000 [7:55:17<21:12:43, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9432903528213501, dino_loss: 0.703125, depth_loss: 0.06231030076742172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9254087805747986, dino_loss: 0.7421875, depth_loss: 0.06577661633491516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3504/10000 [7:55:29<21:23:57, 11.86s/it]
                                                         
{'loss': 2.4866, 'grad_norm': 4.2634148597717285, 'learning_rate': 3.8646007408366525e-05, 'epoch': 0.03}

 35%|███▌      | 3504/10000 [7:55:29<21:23:57, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1179163455963135, dino_loss: 0.71875, depth_loss: 0.06127603352069855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7954486608505249, dino_loss: 0.640625, depth_loss: 0.05020436272025108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3505/10000 [7:55:42<21:42:02, 12.03s/it]
                                                         
{'loss': 2.5597, 'grad_norm': 2.4455463886260986, 'learning_rate': 3.8639079539532405e-05, 'epoch': 0.03}

 35%|███▌      | 3505/10000 [7:55:42<21:42:02, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0078046321868896, dino_loss: 0.734375, depth_loss: 0.07042405009269714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9982315301895142, dino_loss: 0.74609375, depth_loss: 0.06673751771450043, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3506/10000 [7:55:53<21:03:58, 11.68s/it]
                                                         
{'loss': 1.8197, 'grad_norm': 3.591057538986206, 'learning_rate': 3.863215017914906e-05, 'epoch': 0.03}

 35%|███▌      | 3506/10000 [7:55:53<21:03:58, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9918171763420105, dino_loss: 0.65625, depth_loss: 0.058476801961660385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9020966291427612, dino_loss: 0.6875, depth_loss: 0.0751345157623291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3507/10000 [7:56:05<21:10:38, 11.74s/it]
                                                         
{'loss': 2.5131, 'grad_norm': 3.94624662399292, 'learning_rate': 3.862521932797427e-05, 'epoch': 0.03}

 35%|███▌      | 3507/10000 [7:56:05<21:10:38, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9333590269088745, dino_loss: 0.671875, depth_loss: 0.07020921260118484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.64867103099823, dino_loss: 0.6484375, depth_loss: 0.052283044904470444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3508/10000 [7:56:16<21:01:31, 11.66s/it]
                                                         
{'loss': 2.0543, 'grad_norm': 2.908414125442505, 'learning_rate': 3.861828698676597e-05, 'epoch': 0.03}

 35%|███▌      | 3508/10000 [7:56:16<21:01:31, 11.66s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9084146022796631, dino_loss: 0.66796875, depth_loss: 0.05906954035162926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8635939359664917, dino_loss: 0.671875, depth_loss: 0.060061659663915634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3509/10000 [7:56:28<21:07:40, 11.72s/it]
                                                         
{'loss': 2.0278, 'grad_norm': 2.9771840572357178, 'learning_rate': 3.8611353156282294e-05, 'epoch': 0.03}

 35%|███▌      | 3509/10000 [7:56:28<21:07:40, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8390287160873413, dino_loss: 0.66796875, depth_loss: 0.0567353181540966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7127141952514648, dino_loss: 0.703125, depth_loss: 0.07039782404899597, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3510/10000 [7:56:40<21:14:06, 11.78s/it]
                                                         
{'loss': 2.2524, 'grad_norm': 3.1564671993255615, 'learning_rate': 3.860441783728149e-05, 'epoch': 0.03}

 35%|███▌      | 3510/10000 [7:56:40<21:14:06, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.968009352684021, dino_loss: 0.71484375, depth_loss: 0.05675549432635307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.032335638999939, dino_loss: 0.6796875, depth_loss: 0.06422941386699677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3511/10000 [7:56:51<21:12:23, 11.77s/it]
                                                         
{'loss': 2.3862, 'grad_norm': 2.2181663513183594, 'learning_rate': 3.8597481030522005e-05, 'epoch': 0.03}

 35%|███▌      | 3511/10000 [7:56:51<21:12:23, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7844852209091187, dino_loss: 0.78515625, depth_loss: 0.07981643080711365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9523183107376099, dino_loss: 0.70703125, depth_loss: 0.06897187232971191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3512/10000 [7:57:03<21:08:19, 11.73s/it]
                                                         
{'loss': 2.044, 'grad_norm': 2.3167948722839355, 'learning_rate': 3.859054273676244e-05, 'epoch': 0.03}

 35%|███▌      | 3512/10000 [7:57:03<21:08:19, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9730872511863708, dino_loss: 0.72265625, depth_loss: 0.06888430565595627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.92833411693573, dino_loss: 0.74609375, depth_loss: 0.05660806596279144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3513/10000 [7:57:14<20:56:04, 11.62s/it]
                                                         
{'loss': 2.1449, 'grad_norm': 2.8708202838897705, 'learning_rate': 3.858360295676155e-05, 'epoch': 0.03}

 35%|███▌      | 3513/10000 [7:57:14<20:56:04, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8294011354446411, dino_loss: 0.68359375, depth_loss: 0.046078357845544815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9317924380302429, dino_loss: 0.6875, depth_loss: 0.054200075566768646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3514/10000 [7:57:26<21:01:16, 11.67s/it]
                                                         
{'loss': 2.076, 'grad_norm': 3.4565467834472656, 'learning_rate': 3.857666169127827e-05, 'epoch': 0.03}

 35%|███▌      | 3514/10000 [7:57:26<21:01:16, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9672359228134155, dino_loss: 0.71875, depth_loss: 0.04840492829680443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8014758825302124, dino_loss: 0.71875, depth_loss: 0.06999025493860245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3515/10000 [7:57:38<20:59:00, 11.65s/it]
                                                         
{'loss': 2.0712, 'grad_norm': 2.5756142139434814, 'learning_rate': 3.8569718941071684e-05, 'epoch': 0.03}

 35%|███▌      | 3515/10000 [7:57:38<20:59:00, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8540855646133423, dino_loss: 0.6875, depth_loss: 0.08479340374469757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.7630826830863953, dino_loss: 0.66015625, depth_loss: 0.06432608515024185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3516/10000 [7:57:49<20:47:48, 11.55s/it]
                                                         
{'loss': 1.5613, 'grad_norm': 3.5053467750549316, 'learning_rate': 3.856277470690103e-05, 'epoch': 0.03}

 35%|███▌      | 3516/10000 [7:57:49<20:47:48, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8602454662322998, dino_loss: 0.6484375, depth_loss: 0.057471033185720444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8498455286026001, dino_loss: 0.6875, depth_loss: 0.05013692378997803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3517/10000 [7:58:01<20:45:33, 11.53s/it]
                                                         
{'loss': 1.804, 'grad_norm': 3.492436170578003, 'learning_rate': 3.855582898952572e-05, 'epoch': 0.03}

 35%|███▌      | 3517/10000 [7:58:01<20:45:33, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8122761845588684, dino_loss: 0.68359375, depth_loss: 0.06855663657188416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9974669218063354, dino_loss: 0.7109375, depth_loss: 0.06305468082427979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3518/10000 [7:58:12<20:36:32, 11.45s/it]
                                                         
{'loss': 1.9452, 'grad_norm': 2.396042585372925, 'learning_rate': 3.8548881789705345e-05, 'epoch': 0.03}

 35%|███▌      | 3518/10000 [7:58:12<20:36:32, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8763774037361145, dino_loss: 0.66015625, depth_loss: 0.06946195662021637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8836215734481812, dino_loss: 0.72265625, depth_loss: 0.05464354157447815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3519/10000 [7:58:23<20:20:33, 11.30s/it]
                                                         
{'loss': 1.9892, 'grad_norm': 2.1336233615875244, 'learning_rate': 3.8541933108199624e-05, 'epoch': 0.03}

 35%|███▌      | 3519/10000 [7:58:23<20:20:33, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8376777172088623, dino_loss: 0.72265625, depth_loss: 0.0929667204618454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9380007982254028, dino_loss: 0.6953125, depth_loss: 0.04875272139906883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3520/10000 [7:58:34<20:23:25, 11.33s/it]
                                                         
{'loss': 2.1237, 'grad_norm': 4.521316051483154, 'learning_rate': 3.853498294576845e-05, 'epoch': 0.03}

 35%|███▌      | 3520/10000 [7:58:34<20:23:25, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0710420608520508, dino_loss: 0.7265625, depth_loss: 0.07522892206907272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.889042854309082, dino_loss: 0.65234375, depth_loss: 0.060466304421424866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3521/10000 [7:58:46<20:26:59, 11.36s/it]
                                                         
{'loss': 1.9767, 'grad_norm': 3.4189276695251465, 'learning_rate': 3.8528031303171895e-05, 'epoch': 0.03}

 35%|███▌      | 3521/10000 [7:58:46<20:26:59, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9963456392288208, dino_loss: 0.703125, depth_loss: 0.08267740160226822, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7842175960540771, dino_loss: 0.71875, depth_loss: 0.054044969379901886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3522/10000 [7:58:57<20:25:21, 11.35s/it]
                                                         
{'loss': 1.9506, 'grad_norm': 2.378126621246338, 'learning_rate': 3.8521078181170176e-05, 'epoch': 0.03}

 35%|███▌      | 3522/10000 [7:58:57<20:25:21, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9271600246429443, dino_loss: 0.6875, depth_loss: 0.05411630868911743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.8966065645217896, dino_loss: 0.6953125, depth_loss: 0.04849860817193985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3523/10000 [7:59:09<20:29:06, 11.39s/it]
                                                         
{'loss': 2.1895, 'grad_norm': 3.5882856845855713, 'learning_rate': 3.8514123580523674e-05, 'epoch': 0.03}

 35%|███▌      | 3523/10000 [7:59:09<20:29:06, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8424942493438721, dino_loss: 0.66796875, depth_loss: 0.055387623608112335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7967736721038818, dino_loss: 0.71484375, depth_loss: 0.07478705793619156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3524/10000 [7:59:20<20:39:42, 11.49s/it]
                                                         
{'loss': 2.1638, 'grad_norm': 3.160428047180176, 'learning_rate': 3.8507167501992944e-05, 'epoch': 0.03}

 35%|███▌      | 3524/10000 [7:59:20<20:39:42, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8384333848953247, dino_loss: 0.73828125, depth_loss: 0.05527466535568237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9654726982116699, dino_loss: 0.73828125, depth_loss: 0.0575590617954731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3525/10000 [7:59:32<20:49:42, 11.58s/it]
                                                         
{'loss': 2.4785, 'grad_norm': 3.025989055633545, 'learning_rate': 3.850020994633868e-05, 'epoch': 0.03}

 35%|███▌      | 3525/10000 [7:59:32<20:49:42, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8027752637863159, dino_loss: 0.67578125, depth_loss: 0.06634894013404846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.867878794670105, dino_loss: 0.6640625, depth_loss: 0.05621742829680443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3526/10000 [7:59:43<20:32:55, 11.43s/it]
                                                         
{'loss': 1.8913, 'grad_norm': 1.903955101966858, 'learning_rate': 3.8493250914321756e-05, 'epoch': 0.03}

 35%|███▌      | 3526/10000 [7:59:43<20:32:55, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.740070641040802, dino_loss: 0.703125, depth_loss: 0.0643850564956665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9421100616455078, dino_loss: 0.67578125, depth_loss: 0.061009831726551056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3527/10000 [7:59:55<20:47:46, 11.57s/it]
                                                         
{'loss': 2.205, 'grad_norm': 3.727863311767578, 'learning_rate': 3.848629040670319e-05, 'epoch': 0.03}

 35%|███▌      | 3527/10000 [7:59:55<20:47:46, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8039987087249756, dino_loss: 0.6953125, depth_loss: 0.04024400934576988, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9205957055091858, dino_loss: 0.6640625, depth_loss: 0.06911222636699677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3528/10000 [8:00:07<20:59:44, 11.68s/it]
                                                         
{'loss': 1.9223, 'grad_norm': 3.433417320251465, 'learning_rate': 3.847932842424419e-05, 'epoch': 0.03}

 35%|███▌      | 3528/10000 [8:00:07<20:59:44, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9469237327575684, dino_loss: 0.66796875, depth_loss: 0.06306465715169907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7854218482971191, dino_loss: 0.703125, depth_loss: 0.07182884216308594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3529/10000 [8:00:19<21:03:11, 11.71s/it]
                                                         
{'loss': 2.4645, 'grad_norm': 3.622248888015747, 'learning_rate': 3.8472364967706095e-05, 'epoch': 0.03}

 35%|███▌      | 3529/10000 [8:00:19<21:03:11, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8929523229598999, dino_loss: 0.640625, depth_loss: 0.0553356409072876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6855606436729431, dino_loss: 0.609375, depth_loss: 0.05326402559876442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3530/10000 [8:00:31<21:18:32, 11.86s/it]
                                                         
{'loss': 1.7768, 'grad_norm': 6.204473495483398, 'learning_rate': 3.846540003785042e-05, 'epoch': 0.03}

 35%|███▌      | 3530/10000 [8:00:31<21:18:32, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7036906480789185, dino_loss: 0.6875, depth_loss: 0.0612497478723526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9084185361862183, dino_loss: 0.70703125, depth_loss: 0.06755049526691437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3531/10000 [8:00:43<21:11:46, 11.80s/it]
                                                         
{'loss': 2.3077, 'grad_norm': 3.5668773651123047, 'learning_rate': 3.8458433635438846e-05, 'epoch': 0.03}

 35%|███▌      | 3531/10000 [8:00:43<21:11:46, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.971611499786377, dino_loss: 0.69140625, depth_loss: 0.06240479648113251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7708648443222046, dino_loss: 0.66796875, depth_loss: 0.0738440454006195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3532/10000 [8:00:55<21:29:22, 11.96s/it]
                                                         
{'loss': 2.1128, 'grad_norm': 2.575246810913086, 'learning_rate': 3.84514657612332e-05, 'epoch': 0.03}

 35%|███▌      | 3532/10000 [8:00:55<21:29:22, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6891486644744873, dino_loss: 0.671875, depth_loss: 0.04964461177587509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9870372414588928, dino_loss: 0.6875, depth_loss: 0.05766095221042633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3533/10000 [8:01:07<21:32:05, 11.99s/it]
                                                         
{'loss': 2.0423, 'grad_norm': 2.33121919631958, 'learning_rate': 3.844449641599548e-05, 'epoch': 0.03}

 35%|███▌      | 3533/10000 [8:01:07<21:32:05, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9618861079216003, dino_loss: 0.69140625, depth_loss: 0.04623774439096451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8381608128547668, dino_loss: 0.61328125, depth_loss: 0.05055966228246689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3534/10000 [8:01:18<21:07:53, 11.77s/it]
                                                         
{'loss': 1.9218, 'grad_norm': 2.5544826984405518, 'learning_rate': 3.8437525600487854e-05, 'epoch': 0.03}

 35%|███▌      | 3534/10000 [8:01:18<21:07:53, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2192134857177734, dino_loss: 0.6796875, depth_loss: 0.04948800802230835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.7991952896118164, dino_loss: 0.65625, depth_loss: 0.04876147210597992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3535/10000 [8:01:30<21:09:29, 11.78s/it]
                                                         
{'loss': 1.9767, 'grad_norm': 6.555283546447754, 'learning_rate': 3.8430553315472626e-05, 'epoch': 0.03}

 35%|███▌      | 3535/10000 [8:01:30<21:09:29, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8433282971382141, dino_loss: 0.64453125, depth_loss: 0.06415296345949173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9077678918838501, dino_loss: 0.734375, depth_loss: 0.06466706097126007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3536/10000 [8:01:41<20:57:41, 11.67s/it]
                                                         
{'loss': 2.1676, 'grad_norm': 2.5270814895629883, 'learning_rate': 3.842357956171229e-05, 'epoch': 0.03}

 35%|███▌      | 3536/10000 [8:01:41<20:57:41, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8789483308792114, dino_loss: 0.69140625, depth_loss: 0.06462879478931427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8481802940368652, dino_loss: 0.70703125, depth_loss: 0.07293763011693954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3537/10000 [8:01:53<20:59:10, 11.69s/it]
                                                         
{'loss': 2.0503, 'grad_norm': 6.785141468048096, 'learning_rate': 3.841660433996946e-05, 'epoch': 0.03}

 35%|███▌      | 3537/10000 [8:01:53<20:59:10, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7969540953636169, dino_loss: 0.6484375, depth_loss: 0.04554283618927002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8450183868408203, dino_loss: 0.69921875, depth_loss: 0.07248343527317047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3538/10000 [8:02:05<21:07:39, 11.77s/it]
                                                         
{'loss': 2.2342, 'grad_norm': 2.0753087997436523, 'learning_rate': 3.840962765100696e-05, 'epoch': 0.03}

 35%|███▌      | 3538/10000 [8:02:05<21:07:39, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8765580654144287, dino_loss: 0.7109375, depth_loss: 0.07144790142774582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9047746062278748, dino_loss: 0.7578125, depth_loss: 0.07672137767076492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3539/10000 [8:02:16<20:54:11, 11.65s/it]
                                                         
{'loss': 2.2407, 'grad_norm': 2.792846202850342, 'learning_rate': 3.8402649495587734e-05, 'epoch': 0.03}

 35%|███▌      | 3539/10000 [8:02:16<20:54:11, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0153992176055908, dino_loss: 0.73828125, depth_loss: 0.056427761912345886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0363909006118774, dino_loss: 0.765625, depth_loss: 0.07951167225837708, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3540/10000 [8:02:29<21:08:40, 11.78s/it]
                                                         
{'loss': 2.4847, 'grad_norm': 3.5721757411956787, 'learning_rate': 3.8395669874474915e-05, 'epoch': 0.03}

 35%|███▌      | 3540/10000 [8:02:29<21:08:40, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 6
seg_loss: 0.8802039623260498, dino_loss: 0.7265625, depth_loss: 0.07660356909036636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9402686953544617, dino_loss: 0.72265625, depth_loss: 0.058244552463293076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3541/10000 [8:02:41<21:34:57, 12.03s/it]
                                                         
{'loss': 2.3833, 'grad_norm': 5.158585548400879, 'learning_rate': 3.838868878843178e-05, 'epoch': 0.03}

 35%|███▌      | 3541/10000 [8:02:41<21:34:57, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7617247700691223, dino_loss: 0.73828125, depth_loss: 0.06056239455938339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8858815431594849, dino_loss: 0.6953125, depth_loss: 0.05887497216463089, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3542/10000 [8:02:53<21:13:24, 11.83s/it]
                                                         
{'loss': 1.7973, 'grad_norm': 3.241743564605713, 'learning_rate': 3.8381706238221764e-05, 'epoch': 0.03}

 35%|███▌      | 3542/10000 [8:02:53<21:13:24, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9672234058380127, dino_loss: 0.7421875, depth_loss: 0.07210050523281097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0162432193756104, dino_loss: 0.734375, depth_loss: 0.07330846041440964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3543/10000 [8:03:04<20:59:26, 11.70s/it]
                                                         
{'loss': 2.1878, 'grad_norm': 4.5521979331970215, 'learning_rate': 3.8374722224608476e-05, 'epoch': 0.03}

 35%|███▌      | 3543/10000 [8:03:04<20:59:26, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7869513630867004, dino_loss: 0.671875, depth_loss: 0.06520211696624756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8980526924133301, dino_loss: 0.72265625, depth_loss: 0.05894020199775696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3544/10000 [8:03:16<21:22:28, 11.92s/it]
                                                         
{'loss': 2.2303, 'grad_norm': 6.24173641204834, 'learning_rate': 3.8367736748355676e-05, 'epoch': 0.03}

 35%|███▌      | 3544/10000 [8:03:16<21:22:28, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7907816171646118, dino_loss: 0.72265625, depth_loss: 0.04272639378905296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8742738962173462, dino_loss: 0.71875, depth_loss: 0.06738916784524918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3545/10000 [8:03:29<21:51:44, 12.19s/it]
                                                         
{'loss': 2.4946, 'grad_norm': 2.861536979675293, 'learning_rate': 3.8360749810227286e-05, 'epoch': 0.03}

 35%|███▌      | 3545/10000 [8:03:29<21:51:44, 12.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9880738854408264, dino_loss: 0.71484375, depth_loss: 0.07958883792161942, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9814124703407288, dino_loss: 0.71484375, depth_loss: 0.05478808283805847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3546/10000 [8:03:41<21:30:36, 12.00s/it]
                                                         
{'loss': 2.4137, 'grad_norm': 3.829941749572754, 'learning_rate': 3.835376141098738e-05, 'epoch': 0.03}

 35%|███▌      | 3546/10000 [8:03:41<21:30:36, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6853959560394287, dino_loss: 0.6953125, depth_loss: 0.05452936515212059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6497897505760193, dino_loss: 0.57421875, depth_loss: 0.0503593385219574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3547/10000 [8:03:53<21:23:03, 11.93s/it]
                                                         
{'loss': 1.7048, 'grad_norm': 1.5474756956100464, 'learning_rate': 3.8346771551400204e-05, 'epoch': 0.03}

 35%|███▌      | 3547/10000 [8:03:53<21:23:03, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9342448115348816, dino_loss: 0.69140625, depth_loss: 0.04707971215248108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8810974359512329, dino_loss: 0.72265625, depth_loss: 0.06850656867027283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3548/10000 [8:04:05<21:26:56, 11.97s/it]
                                                         
{'loss': 2.6529, 'grad_norm': 8.787674903869629, 'learning_rate': 3.8339780232230156e-05, 'epoch': 0.03}

 35%|███▌      | 3548/10000 [8:04:05<21:26:56, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8769681453704834, dino_loss: 0.6953125, depth_loss: 0.06667038798332214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8854946494102478, dino_loss: 0.65234375, depth_loss: 0.05975908786058426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 35%|███▌      | 3549/10000 [8:04:16<21:04:09, 11.76s/it]
                                                         
{'loss': 1.7556, 'grad_norm': 4.2612409591674805, 'learning_rate': 3.833278745424179e-05, 'epoch': 0.03}

 35%|███▌      | 3549/10000 [8:04:16<21:04:09, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8638627529144287, dino_loss: 0.703125, depth_loss: 0.05713571235537529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7718498110771179, dino_loss: 0.64453125, depth_loss: 0.06477165222167969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3550/10000 [8:04:27<20:50:31, 11.63s/it]
                                                         
{'loss': 1.5553, 'grad_norm': 2.5785458087921143, 'learning_rate': 3.832579321819985e-05, 'epoch': 0.03}

 36%|███▌      | 3550/10000 [8:04:27<20:50:31, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1843335628509521, dino_loss: 0.66015625, depth_loss: 0.0670139417052269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8625444173812866, dino_loss: 0.71484375, depth_loss: 0.06307657063007355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3551/10000 [8:04:39<21:04:56, 11.77s/it]
                                                         
{'loss': 2.4033, 'grad_norm': 4.7794880867004395, 'learning_rate': 3.8318797524869185e-05, 'epoch': 0.03}

 36%|███▌      | 3551/10000 [8:04:39<21:04:56, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9355257749557495, dino_loss: 0.6796875, depth_loss: 0.070380799472332, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8377760052680969, dino_loss: 0.67578125, depth_loss: 0.05651954188942909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3552/10000 [8:04:51<21:02:38, 11.75s/it]
                                                         
{'loss': 2.2016, 'grad_norm': 2.783947467803955, 'learning_rate': 3.8311800375014853e-05, 'epoch': 0.03}

 36%|███▌      | 3552/10000 [8:04:51<21:02:38, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9371495246887207, dino_loss: 0.73828125, depth_loss: 0.08639862388372421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8956307768821716, dino_loss: 0.67578125, depth_loss: 0.06256350874900818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3553/10000 [8:05:02<20:48:40, 11.62s/it]
                                                         
{'loss': 2.0639, 'grad_norm': 4.130613803863525, 'learning_rate': 3.830480176940205e-05, 'epoch': 0.03}

 36%|███▌      | 3553/10000 [8:05:02<20:48:40, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7923178672790527, dino_loss: 0.70703125, depth_loss: 0.06375987827777863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8577443361282349, dino_loss: 0.765625, depth_loss: 0.060755711048841476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3554/10000 [8:05:14<20:36:02, 11.51s/it]
                                                         
{'loss': 1.8322, 'grad_norm': 3.4136199951171875, 'learning_rate': 3.829780170879612e-05, 'epoch': 0.03}

 36%|███▌      | 3554/10000 [8:05:14<20:36:02, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9008277058601379, dino_loss: 0.7109375, depth_loss: 0.06049312651157379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8749809265136719, dino_loss: 0.69921875, depth_loss: 0.06149865686893463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3555/10000 [8:05:25<20:27:18, 11.43s/it]
                                                         
{'loss': 1.8802, 'grad_norm': 3.853414535522461, 'learning_rate': 3.829080019396259e-05, 'epoch': 0.03}

 36%|███▌      | 3555/10000 [8:05:25<20:27:18, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7997207641601562, dino_loss: 0.71875, depth_loss: 0.05407029390335083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7529717087745667, dino_loss: 0.6328125, depth_loss: 0.06691446155309677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3556/10000 [8:05:36<20:24:11, 11.40s/it]
                                                         
{'loss': 1.5174, 'grad_norm': 3.033212900161743, 'learning_rate': 3.828379722566714e-05, 'epoch': 0.03}

 36%|███▌      | 3556/10000 [8:05:36<20:24:11, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9079077243804932, dino_loss: 0.71484375, depth_loss: 0.07056304812431335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8385834097862244, dino_loss: 0.72265625, depth_loss: 0.06062106788158417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3557/10000 [8:05:48<20:29:19, 11.45s/it]
                                                         
{'loss': 1.8913, 'grad_norm': 2.575651168823242, 'learning_rate': 3.82767928046756e-05, 'epoch': 0.03}

 36%|███▌      | 3557/10000 [8:05:48<20:29:19, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8182575702667236, dino_loss: 0.6875, depth_loss: 0.061117950826883316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1485990285873413, dino_loss: 0.6484375, depth_loss: 0.06670432537794113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3558/10000 [8:06:00<20:59:09, 11.73s/it]
                                                         
{'loss': 2.4363, 'grad_norm': 3.3189454078674316, 'learning_rate': 3.826978693175395e-05, 'epoch': 0.03}

 36%|███▌      | 3558/10000 [8:06:00<20:59:09, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9591174721717834, dino_loss: 0.7109375, depth_loss: 0.07571285963058472, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8526726365089417, dino_loss: 0.703125, depth_loss: 0.058316174894571304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3559/10000 [8:06:11<20:46:41, 11.61s/it]
                                                         
{'loss': 2.0593, 'grad_norm': 3.4226629734039307, 'learning_rate': 3.826277960766835e-05, 'epoch': 0.03}

 36%|███▌      | 3559/10000 [8:06:11<20:46:41, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9365508556365967, dino_loss: 0.71875, depth_loss: 0.07057415693998337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1092309951782227, dino_loss: 0.7109375, depth_loss: 0.07585621625185013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3560/10000 [8:06:23<20:46:00, 11.61s/it]
                                                         
{'loss': 2.4017, 'grad_norm': 3.8278696537017822, 'learning_rate': 3.825577083318512e-05, 'epoch': 0.03}

 36%|███▌      | 3560/10000 [8:06:23<20:46:00, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8366701602935791, dino_loss: 0.7578125, depth_loss: 0.07384444773197174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9505254030227661, dino_loss: 0.76171875, depth_loss: 0.07857722789049149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3561/10000 [8:06:35<20:42:07, 11.57s/it]
                                                         
{'loss': 2.211, 'grad_norm': 3.62677264213562, 'learning_rate': 3.824876060907072e-05, 'epoch': 0.03}

 36%|███▌      | 3561/10000 [8:06:35<20:42:07, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9313803911209106, dino_loss: 0.66015625, depth_loss: 0.06506577879190445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7714301347732544, dino_loss: 0.72265625, depth_loss: 0.06941254436969757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3562/10000 [8:06:46<20:38:23, 11.54s/it]
                                                         
{'loss': 2.2397, 'grad_norm': 3.8808176517486572, 'learning_rate': 3.8241748936091775e-05, 'epoch': 0.03}

 36%|███▌      | 3562/10000 [8:06:46<20:38:23, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9444247484207153, dino_loss: 0.6640625, depth_loss: 0.06273133307695389, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9373342990875244, dino_loss: 0.67578125, depth_loss: 0.06384072452783585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3563/10000 [8:06:58<20:45:49, 11.61s/it]
                                                         
{'loss': 1.8563, 'grad_norm': 2.032865524291992, 'learning_rate': 3.8234735815015086e-05, 'epoch': 0.03}

 36%|███▌      | 3563/10000 [8:06:58<20:45:49, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8709306716918945, dino_loss: 0.7578125, depth_loss: 0.055609382688999176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7337637543678284, dino_loss: 0.68359375, depth_loss: 0.05944760516285896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3564/10000 [8:07:09<20:29:52, 11.47s/it]
                                                         
{'loss': 1.7148, 'grad_norm': 1.7940653562545776, 'learning_rate': 3.8227721246607575e-05, 'epoch': 0.03}

 36%|███▌      | 3564/10000 [8:07:09<20:29:52, 11.47s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.9176117777824402, dino_loss: 0.625, depth_loss: 0.05838990956544876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8358200788497925, dino_loss: 0.68359375, depth_loss: 0.0635918378829956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3565/10000 [8:07:20<20:22:17, 11.40s/it]
                                                         
{'loss': 2.1645, 'grad_norm': 1.9061236381530762, 'learning_rate': 3.822070523163636e-05, 'epoch': 0.03}

 36%|███▌      | 3565/10000 [8:07:20<20:22:17, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0824618339538574, dino_loss: 0.6640625, depth_loss: 0.051439523696899414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8481686115264893, dino_loss: 0.7265625, depth_loss: 0.06075429916381836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3566/10000 [8:07:31<20:20:53, 11.39s/it]
                                                         
{'loss': 2.0406, 'grad_norm': 5.571143627166748, 'learning_rate': 3.82136877708687e-05, 'epoch': 0.03}

 36%|███▌      | 3566/10000 [8:07:31<20:20:53, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7739660143852234, dino_loss: 0.671875, depth_loss: 0.060490746051073074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9806222319602966, dino_loss: 0.71875, depth_loss: 0.07969479262828827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3567/10000 [8:07:44<21:01:08, 11.76s/it]
                                                         
{'loss': 2.5823, 'grad_norm': 2.4216103553771973, 'learning_rate': 3.820666886507201e-05, 'epoch': 0.03}

 36%|███▌      | 3567/10000 [8:07:44<21:01:08, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.692288339138031, dino_loss: 0.6015625, depth_loss: 0.052253786474466324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7051344513893127, dino_loss: 0.6796875, depth_loss: 0.05871066078543663, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3568/10000 [8:07:56<21:06:12, 11.81s/it]
                                                         
{'loss': 2.0343, 'grad_norm': 2.7298367023468018, 'learning_rate': 3.8199648515013864e-05, 'epoch': 0.03}

 36%|███▌      | 3568/10000 [8:07:56<21:06:12, 11.81s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.7237977981567383, dino_loss: 0.703125, depth_loss: 0.054375629872083664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8514446020126343, dino_loss: 0.6484375, depth_loss: 0.054255057126283646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3569/10000 [8:08:08<21:05:49, 11.81s/it]
                                                         
{'loss': 2.1596, 'grad_norm': 2.6759443283081055, 'learning_rate': 3.819262672146201e-05, 'epoch': 0.03}

 36%|███▌      | 3569/10000 [8:08:08<21:05:49, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7449303865432739, dino_loss: 0.6796875, depth_loss: 0.06176610291004181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7784472107887268, dino_loss: 0.64453125, depth_loss: 0.06181582063436508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3570/10000 [8:08:19<21:00:23, 11.76s/it]
                                                         
{'loss': 2.0467, 'grad_norm': 3.2961177825927734, 'learning_rate': 3.818560348518433e-05, 'epoch': 0.03}

 36%|███▌      | 3570/10000 [8:08:19<21:00:23, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7764672636985779, dino_loss: 0.66015625, depth_loss: 0.050412748008966446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.05391526222229, dino_loss: 0.72265625, depth_loss: 0.07477523386478424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3571/10000 [8:08:31<21:05:18, 11.81s/it]
                                                         
{'loss': 2.4879, 'grad_norm': 3.198172092437744, 'learning_rate': 3.8178578806948875e-05, 'epoch': 0.03}

 36%|███▌      | 3571/10000 [8:08:31<21:05:18, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8286981582641602, dino_loss: 0.671875, depth_loss: 0.06280326098203659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8560053110122681, dino_loss: 0.75, depth_loss: 0.060676466673612595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3572/10000 [8:08:43<21:03:22, 11.79s/it]
                                                         
{'loss': 2.207, 'grad_norm': 2.401170253753662, 'learning_rate': 3.817155268752385e-05, 'epoch': 0.03}

 36%|███▌      | 3572/10000 [8:08:43<21:03:22, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9056923985481262, dino_loss: 0.73828125, depth_loss: 0.06292449682950974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9870141744613647, dino_loss: 0.7109375, depth_loss: 0.08563432842493057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3573/10000 [8:08:55<21:09:38, 11.85s/it]
                                                         
{'loss': 2.3527, 'grad_norm': 2.897719383239746, 'learning_rate': 3.816452512767764e-05, 'epoch': 0.03}

 36%|███▌      | 3573/10000 [8:08:55<21:09:38, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.842882513999939, dino_loss: 0.703125, depth_loss: 0.04929470270872116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8792086839675903, dino_loss: 0.6640625, depth_loss: 0.058280184864997864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3574/10000 [8:09:07<21:11:22, 11.87s/it]
                                                         
{'loss': 2.1831, 'grad_norm': 2.514460325241089, 'learning_rate': 3.815749612817874e-05, 'epoch': 0.03}

 36%|███▌      | 3574/10000 [8:09:07<21:11:22, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.841372013092041, dino_loss: 0.734375, depth_loss: 0.06645862758159637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9566514492034912, dino_loss: 0.74609375, depth_loss: 0.07343246042728424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3575/10000 [8:09:19<21:09:21, 11.85s/it]
                                                         
{'loss': 2.5522, 'grad_norm': 2.8296806812286377, 'learning_rate': 3.8150465689795854e-05, 'epoch': 0.03}

 36%|███▌      | 3575/10000 [8:09:19<21:09:21, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0087324380874634, dino_loss: 0.6875, depth_loss: 0.0648663192987442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9512447118759155, dino_loss: 0.6796875, depth_loss: 0.08287250995635986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3576/10000 [8:09:29<20:24:16, 11.43s/it]
                                                         
{'loss': 1.756, 'grad_norm': 1.4646590948104858, 'learning_rate': 3.8143433813297815e-05, 'epoch': 0.03}

 36%|███▌      | 3576/10000 [8:09:29<20:24:16, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9733539819717407, dino_loss: 0.7265625, depth_loss: 0.06485369056463242, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8765172958374023, dino_loss: 0.6796875, depth_loss: 0.07199481874704361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3577/10000 [8:09:40<20:09:11, 11.30s/it]
                                                         
{'loss': 1.953, 'grad_norm': 1.9657788276672363, 'learning_rate': 3.8136400499453604e-05, 'epoch': 0.03}

 36%|███▌      | 3577/10000 [8:09:40<20:09:11, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9478036165237427, dino_loss: 0.68359375, depth_loss: 0.0592784509062767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9110459089279175, dino_loss: 0.71875, depth_loss: 0.06307865679264069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3578/10000 [8:09:51<20:04:08, 11.25s/it]
                                                         
{'loss': 2.1823, 'grad_norm': 2.1377246379852295, 'learning_rate': 3.81293657490324e-05, 'epoch': 0.03}

 36%|███▌      | 3578/10000 [8:09:51<20:04:08, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.833815336227417, dino_loss: 0.67578125, depth_loss: 0.06602008640766144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9857385754585266, dino_loss: 0.73046875, depth_loss: 0.0664534643292427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3579/10000 [8:10:03<20:23:39, 11.43s/it]
                                                         
{'loss': 2.3881, 'grad_norm': 3.540621519088745, 'learning_rate': 3.8122329562803485e-05, 'epoch': 0.03}

 36%|███▌      | 3579/10000 [8:10:03<20:23:39, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.7740805745124817, dino_loss: 0.61328125, depth_loss: 0.05716749653220177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.893269419670105, dino_loss: 0.71875, depth_loss: 0.06296229362487793, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3580/10000 [8:10:15<20:46:28, 11.65s/it]
                                                         
{'loss': 2.1773, 'grad_norm': 2.9319546222686768, 'learning_rate': 3.8115291941536345e-05, 'epoch': 0.03}

 36%|███▌      | 3580/10000 [8:10:15<20:46:28, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8110315799713135, dino_loss: 0.73046875, depth_loss: 0.08149208128452301, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8857839703559875, dino_loss: 0.69140625, depth_loss: 0.05397556722164154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3581/10000 [8:10:28<21:07:59, 11.85s/it]
                                                         
{'loss': 2.3241, 'grad_norm': 3.585906982421875, 'learning_rate': 3.810825288600059e-05, 'epoch': 0.03}

 36%|███▌      | 3581/10000 [8:10:28<21:07:59, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9322895407676697, dino_loss: 0.6875, depth_loss: 0.04234682023525238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8545470237731934, dino_loss: 0.6640625, depth_loss: 0.0647641122341156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3582/10000 [8:10:39<20:51:38, 11.70s/it]
                                                         
{'loss': 2.0423, 'grad_norm': 3.2306952476501465, 'learning_rate': 3.8101212396966016e-05, 'epoch': 0.03}

 36%|███▌      | 3582/10000 [8:10:39<20:51:38, 11.70s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9297921657562256, dino_loss: 0.70703125, depth_loss: 0.056717805564403534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8028875589370728, dino_loss: 0.73046875, depth_loss: 0.0725155845284462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3583/10000 [8:10:51<20:52:53, 11.71s/it]
                                                         
{'loss': 2.1615, 'grad_norm': 2.6522815227508545, 'learning_rate': 3.809417047520254e-05, 'epoch': 0.03}

 36%|███▌      | 3583/10000 [8:10:51<20:52:53, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9711337685585022, dino_loss: 0.69921875, depth_loss: 0.05670337378978729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8536971807479858, dino_loss: 0.6640625, depth_loss: 0.05193277448415756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3584/10000 [8:11:03<21:02:56, 11.81s/it]
                                                         
{'loss': 2.0722, 'grad_norm': 3.187256097793579, 'learning_rate': 3.808712712148027e-05, 'epoch': 0.03}

 36%|███▌      | 3584/10000 [8:11:03<21:02:56, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8944293260574341, dino_loss: 0.72265625, depth_loss: 0.07913492619991302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9760789275169373, dino_loss: 0.66796875, depth_loss: 0.07273964583873749, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3585/10000 [8:11:14<20:48:24, 11.68s/it]
                                                         
{'loss': 2.3051, 'grad_norm': 3.494325637817383, 'learning_rate': 3.8080082336569455e-05, 'epoch': 0.03}

 36%|███▌      | 3585/10000 [8:11:14<20:48:24, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8005462884902954, dino_loss: 0.640625, depth_loss: 0.06312156468629837, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9370363354682922, dino_loss: 0.73046875, depth_loss: 0.09052324295043945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3586/10000 [8:11:26<20:45:01, 11.65s/it]
                                                         
{'loss': 2.3233, 'grad_norm': 2.0459847450256348, 'learning_rate': 3.807303612124051e-05, 'epoch': 0.03}

 36%|███▌      | 3586/10000 [8:11:26<20:45:01, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6842179894447327, dino_loss: 0.65625, depth_loss: 0.054743692278862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8816491365432739, dino_loss: 0.71484375, depth_loss: 0.065169557929039, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3587/10000 [8:11:37<20:24:57, 11.46s/it]
                                                         
{'loss': 1.5436, 'grad_norm': 1.8676209449768066, 'learning_rate': 3.806598847626398e-05, 'epoch': 0.03}

 36%|███▌      | 3587/10000 [8:11:37<20:24:57, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8893705606460571, dino_loss: 0.70703125, depth_loss: 0.0638788565993309, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9318612813949585, dino_loss: 0.72265625, depth_loss: 0.056103531271219254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3588/10000 [8:11:49<20:41:37, 11.62s/it]
                                                         
{'loss': 2.1745, 'grad_norm': 3.6841347217559814, 'learning_rate': 3.80589394024106e-05, 'epoch': 0.03}

 36%|███▌      | 3588/10000 [8:11:49<20:41:37, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9593491554260254, dino_loss: 0.71875, depth_loss: 0.06106254830956459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.907115638256073, dino_loss: 0.72265625, depth_loss: 0.07352882623672485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3589/10000 [8:12:01<20:59:03, 11.78s/it]
                                                         
{'loss': 2.4693, 'grad_norm': 3.180654287338257, 'learning_rate': 3.8051888900451244e-05, 'epoch': 0.03}

 36%|███▌      | 3589/10000 [8:12:01<20:59:03, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8467435836791992, dino_loss: 0.69140625, depth_loss: 0.06550586223602295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8715399503707886, dino_loss: 0.67578125, depth_loss: 0.05132609233260155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3590/10000 [8:12:12<20:42:57, 11.63s/it]
                                                         
{'loss': 1.7829, 'grad_norm': 1.85630202293396, 'learning_rate': 3.8044836971156936e-05, 'epoch': 0.03}

 36%|███▌      | 3590/10000 [8:12:12<20:42:57, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8187362551689148, dino_loss: 0.6953125, depth_loss: 0.04797197878360748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8534164428710938, dino_loss: 0.73046875, depth_loss: 0.06947435438632965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3591/10000 [8:12:24<20:36:55, 11.58s/it]
                                                         
{'loss': 2.2708, 'grad_norm': 7.125909805297852, 'learning_rate': 3.8037783615298865e-05, 'epoch': 0.03}

 36%|███▌      | 3591/10000 [8:12:24<20:36:55, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7742134928703308, dino_loss: 0.6953125, depth_loss: 0.05159756541252136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0195224285125732, dino_loss: 0.7109375, depth_loss: 0.06094139814376831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3592/10000 [8:12:35<20:31:41, 11.53s/it]
                                                         
{'loss': 2.3721, 'grad_norm': 2.74249529838562, 'learning_rate': 3.803072883364839e-05, 'epoch': 0.03}

 36%|███▌      | 3592/10000 [8:12:35<20:31:41, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0094342231750488, dino_loss: 0.7109375, depth_loss: 0.07802866399288177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.994031548500061, dino_loss: 0.73046875, depth_loss: 0.0785493552684784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3593/10000 [8:12:47<20:45:53, 11.67s/it]
                                                         
{'loss': 2.3997, 'grad_norm': 1.9459012746810913, 'learning_rate': 3.802367262697699e-05, 'epoch': 0.03}

 36%|███▌      | 3593/10000 [8:12:47<20:45:53, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8203230500221252, dino_loss: 0.6875, depth_loss: 0.06520652025938034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8875157237052917, dino_loss: 0.65234375, depth_loss: 0.05873357504606247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3594/10000 [8:12:59<20:48:57, 11.70s/it]
                                                         
{'loss': 2.1885, 'grad_norm': 2.8532259464263916, 'learning_rate': 3.801661499605634e-05, 'epoch': 0.03}

 36%|███▌      | 3594/10000 [8:12:59<20:48:57, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9084914922714233, dino_loss: 0.671875, depth_loss: 0.05518597364425659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7984183430671692, dino_loss: 0.6796875, depth_loss: 0.05750754475593567, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3595/10000 [8:13:11<20:52:35, 11.73s/it]
                                                         
{'loss': 1.8911, 'grad_norm': 3.435750722885132, 'learning_rate': 3.800955594165825e-05, 'epoch': 0.03}

 36%|███▌      | 3595/10000 [8:13:11<20:52:35, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8857839107513428, dino_loss: 0.71875, depth_loss: 0.06324990093708038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7898958921432495, dino_loss: 0.67578125, depth_loss: 0.07203751802444458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3596/10000 [8:13:23<20:57:38, 11.78s/it]
                                                         
{'loss': 1.8469, 'grad_norm': 3.6897807121276855, 'learning_rate': 3.800249546455467e-05, 'epoch': 0.03}

 36%|███▌      | 3596/10000 [8:13:23<20:57:38, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0921770334243774, dino_loss: 0.74609375, depth_loss: 0.05778036639094353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8325789570808411, dino_loss: 0.765625, depth_loss: 0.061664264649152756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3597/10000 [8:13:35<21:25:00, 12.04s/it]
                                                         
{'loss': 2.2665, 'grad_norm': 2.2515180110931396, 'learning_rate': 3.7995433565517735e-05, 'epoch': 0.03}

 36%|███▌      | 3597/10000 [8:13:35<21:25:00, 12.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8586759567260742, dino_loss: 0.65234375, depth_loss: 0.052660975605249405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8484055995941162, dino_loss: 0.69140625, depth_loss: 0.0644979178905487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3598/10000 [8:13:47<21:27:33, 12.07s/it]
                                                         
{'loss': 2.4096, 'grad_norm': 2.8472747802734375, 'learning_rate': 3.798837024531974e-05, 'epoch': 0.03}

 36%|███▌      | 3598/10000 [8:13:47<21:27:33, 12.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7530550956726074, dino_loss: 0.6328125, depth_loss: 0.05872086063027382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.796724259853363, dino_loss: 0.703125, depth_loss: 0.05563068762421608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3599/10000 [8:13:59<21:06:30, 11.87s/it]
                                                         
{'loss': 1.7639, 'grad_norm': 4.182323932647705, 'learning_rate': 3.798130550473309e-05, 'epoch': 0.03}

 36%|███▌      | 3599/10000 [8:13:59<21:06:30, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7727264761924744, dino_loss: 0.74609375, depth_loss: 0.058713044971227646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9697397351264954, dino_loss: 0.6796875, depth_loss: 0.05670823156833649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3600/10000 [8:14:10<20:56:32, 11.78s/it]
                                                         
{'loss': 2.2178, 'grad_norm': 5.866360187530518, 'learning_rate': 3.797423934453038e-05, 'epoch': 0.03}

 36%|███▌      | 3600/10000 [8:14:10<20:56:32, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8385998606681824, dino_loss: 0.625, depth_loss: 0.05150936171412468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9589433073997498, dino_loss: 0.7265625, depth_loss: 0.07221172004938126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3601/10000 [8:14:22<20:42:16, 11.65s/it]
                                                         
{'loss': 2.1736, 'grad_norm': 3.1232759952545166, 'learning_rate': 3.7967171765484375e-05, 'epoch': 0.03}

 36%|███▌      | 3601/10000 [8:14:22<20:42:16, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8604335784912109, dino_loss: 0.74609375, depth_loss: 0.07085437327623367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8735927939414978, dino_loss: 0.71875, depth_loss: 0.06026707589626312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3602/10000 [8:14:33<20:33:44, 11.57s/it]
                                                         
{'loss': 2.3317, 'grad_norm': 3.263235092163086, 'learning_rate': 3.7960102768367955e-05, 'epoch': 0.03}

 36%|███▌      | 3602/10000 [8:14:33<20:33:44, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9370471239089966, dino_loss: 0.66796875, depth_loss: 0.06052892655134201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.853470504283905, dino_loss: 0.71484375, depth_loss: 0.06024959310889244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3603/10000 [8:14:45<20:28:39, 11.52s/it]
                                                         
{'loss': 2.133, 'grad_norm': 2.641037702560425, 'learning_rate': 3.795303235395418e-05, 'epoch': 0.03}

 36%|███▌      | 3603/10000 [8:14:45<20:28:39, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8533288240432739, dino_loss: 0.7265625, depth_loss: 0.06639930605888367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8291994333267212, dino_loss: 0.65234375, depth_loss: 0.05562146008014679, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3604/10000 [8:14:56<20:23:12, 11.47s/it]
                                                         
{'loss': 1.8482, 'grad_norm': 2.944404363632202, 'learning_rate': 3.7945960523016265e-05, 'epoch': 0.03}

 36%|███▌      | 3604/10000 [8:14:56<20:23:12, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0743169784545898, dino_loss: 0.73828125, depth_loss: 0.06592606753110886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7891832590103149, dino_loss: 0.69140625, depth_loss: 0.06957872211933136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3605/10000 [8:15:07<20:17:58, 11.43s/it]
                                                         
{'loss': 1.9387, 'grad_norm': 4.8066253662109375, 'learning_rate': 3.793888727632757e-05, 'epoch': 0.03}

 36%|███▌      | 3605/10000 [8:15:07<20:17:58, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9508099555969238, dino_loss: 0.73046875, depth_loss: 0.07520934194326401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0403327941894531, dino_loss: 0.67578125, depth_loss: 0.06976711004972458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3606/10000 [8:15:19<20:24:07, 11.49s/it]
                                                         
{'loss': 2.6403, 'grad_norm': 3.1100966930389404, 'learning_rate': 3.7931812614661616e-05, 'epoch': 0.03}

 36%|███▌      | 3606/10000 [8:15:19<20:24:07, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9148992300033569, dino_loss: 0.71484375, depth_loss: 0.07867813110351562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9378175735473633, dino_loss: 0.68359375, depth_loss: 0.07130460441112518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3607/10000 [8:15:31<20:57:00, 11.80s/it]
                                                         
{'loss': 2.7563, 'grad_norm': 2.546287775039673, 'learning_rate': 3.792473653879208e-05, 'epoch': 0.03}

 36%|███▌      | 3607/10000 [8:15:31<20:57:00, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8202482461929321, dino_loss: 0.69140625, depth_loss: 0.06551884114742279, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8353348970413208, dino_loss: 0.73046875, depth_loss: 0.06236014515161514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3608/10000 [8:15:43<21:03:18, 11.86s/it]
                                                         
{'loss': 2.1862, 'grad_norm': 2.576875686645508, 'learning_rate': 3.7917659049492785e-05, 'epoch': 0.03}

 36%|███▌      | 3608/10000 [8:15:43<21:03:18, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8050894141197205, dino_loss: 0.73046875, depth_loss: 0.05517628788948059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9403501749038696, dino_loss: 0.72265625, depth_loss: 0.07560094445943832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3609/10000 [8:15:56<21:23:15, 12.05s/it]
                                                         
{'loss': 2.2901, 'grad_norm': 3.324324131011963, 'learning_rate': 3.791058014753771e-05, 'epoch': 0.03}

 36%|███▌      | 3609/10000 [8:15:56<21:23:15, 12.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7363740801811218, dino_loss: 0.6875, depth_loss: 0.07636061310768127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0311174392700195, dino_loss: 0.6796875, depth_loss: 0.06223520636558533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3610/10000 [8:16:08<21:19:18, 12.01s/it]
                                                         
{'loss': 2.0741, 'grad_norm': 2.5381391048431396, 'learning_rate': 3.7903499833701006e-05, 'epoch': 0.03}

 36%|███▌      | 3610/10000 [8:16:08<21:19:18, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7294249534606934, dino_loss: 0.66796875, depth_loss: 0.04844580590724945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7980028390884399, dino_loss: 0.74609375, depth_loss: 0.06843116134405136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3611/10000 [8:16:20<21:31:02, 12.12s/it]
                                                         
{'loss': 2.283, 'grad_norm': 3.3372156620025635, 'learning_rate': 3.789641810875697e-05, 'epoch': 0.03}

 36%|███▌      | 3611/10000 [8:16:20<21:31:02, 12.12s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.7466148138046265, dino_loss: 0.69921875, depth_loss: 0.07687857002019882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7702346444129944, dino_loss: 0.64453125, depth_loss: 0.05822551250457764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3612/10000 [8:16:32<21:28:09, 12.10s/it]
                                                         
{'loss': 2.1068, 'grad_norm': 4.002575397491455, 'learning_rate': 3.7889334973480034e-05, 'epoch': 0.03}

 36%|███▌      | 3612/10000 [8:16:32<21:28:09, 12.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9959849119186401, dino_loss: 0.72265625, depth_loss: 0.06112454831600189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8860941529273987, dino_loss: 0.71875, depth_loss: 0.07098362594842911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3613/10000 [8:16:44<21:30:48, 12.13s/it]
                                                         
{'loss': 2.6056, 'grad_norm': 4.788218975067139, 'learning_rate': 3.7882250428644795e-05, 'epoch': 0.03}

 36%|███▌      | 3613/10000 [8:16:44<21:30:48, 12.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8446247577667236, dino_loss: 0.6953125, depth_loss: 0.06328265368938446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7798581123352051, dino_loss: 0.68359375, depth_loss: 0.06888478249311447, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3614/10000 [8:16:56<21:14:05, 11.97s/it]
                                                         
{'loss': 1.9878, 'grad_norm': 1.9388561248779297, 'learning_rate': 3.7875164475026025e-05, 'epoch': 0.03}

 36%|███▌      | 3614/10000 [8:16:56<21:14:05, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8569712042808533, dino_loss: 0.671875, depth_loss: 0.05418703332543373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8690528273582458, dino_loss: 0.71484375, depth_loss: 0.09123095124959946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3615/10000 [8:17:07<20:56:02, 11.80s/it]
                                                         
{'loss': 1.8934, 'grad_norm': 3.523447275161743, 'learning_rate': 3.786807711339863e-05, 'epoch': 0.03}

 36%|███▌      | 3615/10000 [8:17:07<20:56:02, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8609662055969238, dino_loss: 0.73828125, depth_loss: 0.07128171622753143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7436145544052124, dino_loss: 0.66796875, depth_loss: 0.05456317216157913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3616/10000 [8:17:20<21:09:07, 11.93s/it]
                                                         
{'loss': 1.819, 'grad_norm': 2.511859893798828, 'learning_rate': 3.786098834453766e-05, 'epoch': 0.03}

 36%|███▌      | 3616/10000 [8:17:20<21:09:07, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8058937788009644, dino_loss: 0.734375, depth_loss: 0.06656892597675323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.805908203125, dino_loss: 0.67578125, depth_loss: 0.0849011167883873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3617/10000 [8:17:32<21:11:09, 11.95s/it]
                                                         
{'loss': 2.2161, 'grad_norm': 4.583134651184082, 'learning_rate': 3.7853898169218346e-05, 'epoch': 0.03}

 36%|███▌      | 3617/10000 [8:17:32<21:11:09, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9471777081489563, dino_loss: 0.6875, depth_loss: 0.05719779059290886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1252386569976807, dino_loss: 0.69921875, depth_loss: 0.058202341198921204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3618/10000 [8:17:44<21:09:47, 11.94s/it]
                                                         
{'loss': 2.1893, 'grad_norm': 5.1994452476501465, 'learning_rate': 3.7846806588216055e-05, 'epoch': 0.03}

 36%|███▌      | 3618/10000 [8:17:44<21:09:47, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7970823049545288, dino_loss: 0.65234375, depth_loss: 0.06528476625680923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7763658761978149, dino_loss: 0.71875, depth_loss: 0.07218118757009506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3619/10000 [8:17:55<20:58:10, 11.83s/it]
                                                         
{'loss': 2.1648, 'grad_norm': 2.683497667312622, 'learning_rate': 3.78397136023063e-05, 'epoch': 0.03}

 36%|███▌      | 3619/10000 [8:17:55<20:58:10, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9776431918144226, dino_loss: 0.6796875, depth_loss: 0.06313418596982956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8230167627334595, dino_loss: 0.69921875, depth_loss: 0.0700957179069519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3620/10000 [8:18:07<20:45:56, 11.72s/it]
                                                         
{'loss': 1.8911, 'grad_norm': 2.1133499145507812, 'learning_rate': 3.783261921226479e-05, 'epoch': 0.03}

 36%|███▌      | 3620/10000 [8:18:07<20:45:56, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7962411642074585, dino_loss: 0.6875, depth_loss: 0.05266638845205307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7979426383972168, dino_loss: 0.65234375, depth_loss: 0.06077847257256508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3621/10000 [8:18:18<20:33:27, 11.60s/it]
                                                         
{'loss': 1.8309, 'grad_norm': 3.722426176071167, 'learning_rate': 3.782552341886733e-05, 'epoch': 0.03}

 36%|███▌      | 3621/10000 [8:18:18<20:33:27, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7154341340065002, dino_loss: 0.73046875, depth_loss: 0.06321696937084198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.859828531742096, dino_loss: 0.67578125, depth_loss: 0.06484760344028473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3622/10000 [8:18:30<20:45:13, 11.71s/it]
                                                         
{'loss': 2.2495, 'grad_norm': 2.542320728302002, 'learning_rate': 3.781842622288989e-05, 'epoch': 0.03}

 36%|███▌      | 3622/10000 [8:18:30<20:45:13, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8365033268928528, dino_loss: 0.6796875, depth_loss: 0.057666338980197906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8747040629386902, dino_loss: 0.765625, depth_loss: 0.07588689774274826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3623/10000 [8:18:41<20:38:14, 11.65s/it]
                                                         
{'loss': 2.1178, 'grad_norm': 5.489415645599365, 'learning_rate': 3.781132762510865e-05, 'epoch': 0.03}

 36%|███▌      | 3623/10000 [8:18:41<20:38:14, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8867400288581848, dino_loss: 0.66796875, depth_loss: 0.053869523108005524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9068241119384766, dino_loss: 0.7109375, depth_loss: 0.06945310533046722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▌      | 3624/10000 [8:18:54<21:14:13, 11.99s/it]
                                                         
{'loss': 2.677, 'grad_norm': 2.865180015563965, 'learning_rate': 3.780422762629988e-05, 'epoch': 0.03}

 36%|███▌      | 3624/10000 [8:18:54<21:14:13, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.767939031124115, dino_loss: 0.70703125, depth_loss: 0.056794628500938416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9260241389274597, dino_loss: 0.70703125, depth_loss: 0.06161907687783241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3625/10000 [8:19:06<21:06:25, 11.92s/it]
                                                         
{'loss': 1.7928, 'grad_norm': 2.529294729232788, 'learning_rate': 3.779712622724003e-05, 'epoch': 0.03}

 36%|███▋      | 3625/10000 [8:19:06<21:06:25, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9673724174499512, dino_loss: 0.75, depth_loss: 0.06581549346446991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8573226928710938, dino_loss: 0.6875, depth_loss: 0.057965949177742004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3626/10000 [8:19:18<20:55:24, 11.82s/it]
                                                         
{'loss': 2.272, 'grad_norm': 5.074844837188721, 'learning_rate': 3.779002342870569e-05, 'epoch': 0.03}

 36%|███▋      | 3626/10000 [8:19:18<20:55:24, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.942764401435852, dino_loss: 0.69140625, depth_loss: 0.05519552901387215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9226807951927185, dino_loss: 0.71875, depth_loss: 0.08428188413381577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3627/10000 [8:19:29<20:44:24, 11.72s/it]
                                                         
{'loss': 2.2299, 'grad_norm': 3.5045993328094482, 'learning_rate': 3.7782919231473626e-05, 'epoch': 0.03}

 36%|███▋      | 3627/10000 [8:19:29<20:44:24, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9210793375968933, dino_loss: 0.6953125, depth_loss: 0.06318365037441254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8846629858016968, dino_loss: 0.6953125, depth_loss: 0.06399965286254883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3628/10000 [8:19:41<20:47:16, 11.74s/it]
                                                         
{'loss': 2.083, 'grad_norm': 3.2225253582000732, 'learning_rate': 3.777581363632072e-05, 'epoch': 0.03}

 36%|███▋      | 3628/10000 [8:19:41<20:47:16, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7087234854698181, dino_loss: 0.69140625, depth_loss: 0.05121379718184471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7367246150970459, dino_loss: 0.72265625, depth_loss: 0.06981825828552246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3629/10000 [8:19:53<21:01:24, 11.88s/it]
                                                         
{'loss': 1.9905, 'grad_norm': 2.674414873123169, 'learning_rate': 3.776870664402405e-05, 'epoch': 0.03}

 36%|███▋      | 3629/10000 [8:19:53<21:01:24, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8417210578918457, dino_loss: 0.7109375, depth_loss: 0.06433416157960892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.6065583229064941, dino_loss: 0.6953125, depth_loss: 0.050430603325366974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3630/10000 [8:20:05<21:13:50, 12.00s/it]
                                                         
{'loss': 2.4764, 'grad_norm': 8.024659156799316, 'learning_rate': 3.776159825536082e-05, 'epoch': 0.03}

 36%|███▋      | 3630/10000 [8:20:05<21:13:50, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8965418934822083, dino_loss: 0.703125, depth_loss: 0.06904024630784988, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9883873462677002, dino_loss: 0.69140625, depth_loss: 0.05955061316490173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3631/10000 [8:20:17<20:55:03, 11.82s/it]
                                                         
{'loss': 2.2806, 'grad_norm': 2.254582405090332, 'learning_rate': 3.7754488471108395e-05, 'epoch': 0.03}

 36%|███▋      | 3631/10000 [8:20:17<20:55:03, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7451192140579224, dino_loss: 0.6875, depth_loss: 0.07646108418703079, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8652917146682739, dino_loss: 0.640625, depth_loss: 0.07907988876104355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3632/10000 [8:20:28<20:48:37, 11.76s/it]
                                                         
{'loss': 1.5559, 'grad_norm': 2.9342548847198486, 'learning_rate': 3.7747377292044276e-05, 'epoch': 0.03}

 36%|███▋      | 3632/10000 [8:20:28<20:48:37, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.81303870677948, dino_loss: 0.66796875, depth_loss: 0.08232921361923218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.949703574180603, dino_loss: 0.7265625, depth_loss: 0.08097344636917114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3633/10000 [8:20:40<20:37:03, 11.66s/it]
                                                         
{'loss': 2.2757, 'grad_norm': 5.905022621154785, 'learning_rate': 3.774026471894615e-05, 'epoch': 0.03}

 36%|███▋      | 3633/10000 [8:20:40<20:37:03, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9724484086036682, dino_loss: 0.7109375, depth_loss: 0.06651691347360611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.7666553854942322, dino_loss: 0.6640625, depth_loss: 0.058547765016555786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3634/10000 [8:20:51<20:37:01, 11.66s/it]
                                                         
{'loss': 1.9009, 'grad_norm': 3.5302224159240723, 'learning_rate': 3.7733150752591826e-05, 'epoch': 0.03}

 36%|███▋      | 3634/10000 [8:20:51<20:37:01, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7703500986099243, dino_loss: 0.69140625, depth_loss: 0.04597681015729904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9928001761436462, dino_loss: 0.703125, depth_loss: 0.06354823708534241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3635/10000 [8:21:03<20:34:06, 11.63s/it]
                                                         
{'loss': 2.077, 'grad_norm': 1.6774449348449707, 'learning_rate': 3.7726035393759285e-05, 'epoch': 0.03}

 36%|███▋      | 3635/10000 [8:21:03<20:34:06, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8734326958656311, dino_loss: 0.73046875, depth_loss: 0.06311389803886414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7788189053535461, dino_loss: 0.65234375, depth_loss: 0.04642277956008911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3636/10000 [8:21:15<20:53:33, 11.82s/it]
                                                         
{'loss': 2.1872, 'grad_norm': 4.211711406707764, 'learning_rate': 3.771891864322664e-05, 'epoch': 0.03}

 36%|███▋      | 3636/10000 [8:21:15<20:53:33, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9572340250015259, dino_loss: 0.7265625, depth_loss: 0.07354050129652023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.8629757761955261, dino_loss: 0.66796875, depth_loss: 0.06686308979988098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3637/10000 [8:21:27<20:39:32, 11.69s/it]
                                                         
{'loss': 2.4258, 'grad_norm': 2.0395703315734863, 'learning_rate': 3.771180050177218e-05, 'epoch': 0.03}

 36%|███▋      | 3637/10000 [8:21:27<20:39:32, 11.69s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0108237266540527, dino_loss: 0.7421875, depth_loss: 0.06091398373246193, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9295554757118225, dino_loss: 0.6875, depth_loss: 0.06016363948583603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3638/10000 [8:21:38<20:17:09, 11.48s/it]
                                                         
{'loss': 2.1556, 'grad_norm': 3.2059576511383057, 'learning_rate': 3.770468097017432e-05, 'epoch': 0.03}

 36%|███▋      | 3638/10000 [8:21:38<20:17:09, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7570043206214905, dino_loss: 0.703125, depth_loss: 0.06405825912952423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8639672994613647, dino_loss: 0.6484375, depth_loss: 0.05591443181037903, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3639/10000 [8:21:49<20:01:28, 11.33s/it]
                                                         
{'loss': 1.832, 'grad_norm': 1.988653302192688, 'learning_rate': 3.7697560049211666e-05, 'epoch': 0.03}

 36%|███▋      | 3639/10000 [8:21:49<20:01:28, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9233659505844116, dino_loss: 0.7265625, depth_loss: 0.06181585416197777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.858214795589447, dino_loss: 0.671875, depth_loss: 0.06319493800401688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3640/10000 [8:22:00<20:15:36, 11.47s/it]
                                                         
{'loss': 2.3714, 'grad_norm': 3.88749098777771, 'learning_rate': 3.7690437739662924e-05, 'epoch': 0.03}

 36%|███▋      | 3640/10000 [8:22:00<20:15:36, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9554533362388611, dino_loss: 0.703125, depth_loss: 0.07214733958244324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0662808418273926, dino_loss: 0.703125, depth_loss: 0.0552845224738121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3641/10000 [8:22:12<20:23:14, 11.54s/it]
                                                         
{'loss': 2.5639, 'grad_norm': 3.184058666229248, 'learning_rate': 3.7683314042306996e-05, 'epoch': 0.03}

 36%|███▋      | 3641/10000 [8:22:12<20:23:14, 11.54s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.7354235053062439, dino_loss: 0.6875, depth_loss: 0.09610986709594727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0209507942199707, dino_loss: 0.69921875, depth_loss: 0.06317251920700073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3642/10000 [8:22:23<20:18:08, 11.50s/it]
                                                         
{'loss': 1.9798, 'grad_norm': 2.0092668533325195, 'learning_rate': 3.767618895792291e-05, 'epoch': 0.03}

 36%|███▋      | 3642/10000 [8:22:24<20:18:08, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8204554319381714, dino_loss: 0.671875, depth_loss: 0.06652624905109406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9322248697280884, dino_loss: 0.671875, depth_loss: 0.06406833231449127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3643/10000 [8:22:35<20:16:26, 11.48s/it]
                                                         
{'loss': 2.0641, 'grad_norm': 1.3985826969146729, 'learning_rate': 3.766906248728986e-05, 'epoch': 0.03}

 36%|███▋      | 3643/10000 [8:22:35<20:16:26, 11.48s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9394780993461609, dino_loss: 0.69921875, depth_loss: 0.06936704367399216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8715407252311707, dino_loss: 0.6328125, depth_loss: 0.04631461203098297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3644/10000 [8:22:47<20:20:53, 11.53s/it]
                                                         
{'loss': 2.2991, 'grad_norm': 4.978219032287598, 'learning_rate': 3.766193463118718e-05, 'epoch': 0.03}

 36%|███▋      | 3644/10000 [8:22:47<20:20:53, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.905426025390625, dino_loss: 0.7421875, depth_loss: 0.07741820067167282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7563574314117432, dino_loss: 0.65625, depth_loss: 0.06490775942802429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3645/10000 [8:22:58<20:20:14, 11.52s/it]
                                                         
{'loss': 2.2874, 'grad_norm': 2.7482504844665527, 'learning_rate': 3.7654805390394366e-05, 'epoch': 0.03}

 36%|███▋      | 3645/10000 [8:22:58<20:20:14, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9645980596542358, dino_loss: 0.6953125, depth_loss: 0.06445237249135971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0885822772979736, dino_loss: 0.703125, depth_loss: 0.055224690586328506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3646/10000 [8:23:10<20:39:47, 11.71s/it]
                                                         
{'loss': 2.5486, 'grad_norm': 4.194744110107422, 'learning_rate': 3.764767476569106e-05, 'epoch': 0.03}

 36%|███▋      | 3646/10000 [8:23:10<20:39:47, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.75983726978302, dino_loss: 0.6640625, depth_loss: 0.07611982524394989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.04289972782135, dino_loss: 0.6875, depth_loss: 0.05430586636066437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3647/10000 [8:23:21<20:20:25, 11.53s/it]
                                                         
{'loss': 1.7748, 'grad_norm': 4.428000450134277, 'learning_rate': 3.764054275785707e-05, 'epoch': 0.03}

 36%|███▋      | 3647/10000 [8:23:21<20:20:25, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8116015195846558, dino_loss: 0.67578125, depth_loss: 0.05675823986530304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1563324928283691, dino_loss: 0.66015625, depth_loss: 0.04897882416844368, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3648/10000 [8:23:33<20:37:42, 11.69s/it]
                                                         
{'loss': 2.2475, 'grad_norm': 3.4651167392730713, 'learning_rate': 3.763340936767231e-05, 'epoch': 0.03}

 36%|███▋      | 3648/10000 [8:23:33<20:37:42, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8845193982124329, dino_loss: 0.72265625, depth_loss: 0.08761559426784515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.9860774278640747, dino_loss: 0.7109375, depth_loss: 0.06873250007629395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3649/10000 [8:23:45<20:40:32, 11.72s/it]
                                                         
{'loss': 2.6113, 'grad_norm': 3.23488450050354, 'learning_rate': 3.762627459591691e-05, 'epoch': 0.03}

 36%|███▋      | 3649/10000 [8:23:45<20:40:32, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8040569424629211, dino_loss: 0.703125, depth_loss: 0.06254834681749344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0774141550064087, dino_loss: 0.69140625, depth_loss: 0.057054709643125534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 36%|███▋      | 3650/10000 [8:23:57<20:28:04, 11.60s/it]
                                                         
{'loss': 1.9367, 'grad_norm': 2.4242985248565674, 'learning_rate': 3.76191384433711e-05, 'epoch': 0.03}

 36%|███▋      | 3650/10000 [8:23:57<20:28:04, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7070078253746033, dino_loss: 0.6875, depth_loss: 0.06951975077390671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8537636399269104, dino_loss: 0.70703125, depth_loss: 0.051077716052532196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3651/10000 [8:24:09<20:52:57, 11.84s/it]
                                                         
{'loss': 2.0708, 'grad_norm': 6.916306018829346, 'learning_rate': 3.761200091081528e-05, 'epoch': 0.03}

 37%|███▋      | 3651/10000 [8:24:09<20:52:57, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9051920175552368, dino_loss: 0.7109375, depth_loss: 0.06377407163381577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7932414412498474, dino_loss: 0.7109375, depth_loss: 0.07479369640350342, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3652/10000 [8:24:21<21:05:29, 11.96s/it]
                                                         
{'loss': 2.2996, 'grad_norm': 3.7169854640960693, 'learning_rate': 3.760486199903e-05, 'epoch': 0.03}

 37%|███▋      | 3652/10000 [8:24:21<21:05:29, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9038565158843994, dino_loss: 0.6953125, depth_loss: 0.06851544231176376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7802706956863403, dino_loss: 0.6640625, depth_loss: 0.07103076577186584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3653/10000 [8:24:33<20:46:44, 11.79s/it]
                                                         
{'loss': 2.1286, 'grad_norm': 2.9658379554748535, 'learning_rate': 3.759772170879596e-05, 'epoch': 0.03}

 37%|███▋      | 3653/10000 [8:24:33<20:46:44, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8458529710769653, dino_loss: 0.75, depth_loss: 0.06656514108181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9545674324035645, dino_loss: 0.72265625, depth_loss: 0.0683155432343483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3654/10000 [8:24:44<20:25:11, 11.58s/it]
                                                         
{'loss': 1.9222, 'grad_norm': 1.941292405128479, 'learning_rate': 3.759058004089402e-05, 'epoch': 0.03}

 37%|███▋      | 3654/10000 [8:24:44<20:25:11, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9063277840614319, dino_loss: 0.73046875, depth_loss: 0.05435153469443321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8029876947402954, dino_loss: 0.74609375, depth_loss: 0.06594661623239517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3655/10000 [8:24:55<20:24:36, 11.58s/it]
                                                         
{'loss': 1.9644, 'grad_norm': 3.252181053161621, 'learning_rate': 3.7583436996105185e-05, 'epoch': 0.03}

 37%|███▋      | 3655/10000 [8:24:55<20:24:36, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7114623188972473, dino_loss: 0.62890625, depth_loss: 0.06007589027285576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0324982404708862, dino_loss: 0.6796875, depth_loss: 0.060603462159633636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3656/10000 [8:25:07<20:25:57, 11.59s/it]
                                                         
{'loss': 1.7514, 'grad_norm': 2.739088296890259, 'learning_rate': 3.757629257521058e-05, 'epoch': 0.03}

 37%|███▋      | 3656/10000 [8:25:07<20:25:57, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8625075817108154, dino_loss: 0.69140625, depth_loss: 0.06035957485437393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.88954758644104, dino_loss: 0.69921875, depth_loss: 0.06543281674385071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3657/10000 [8:25:18<20:24:10, 11.58s/it]
                                                         
{'loss': 2.0576, 'grad_norm': 2.9195210933685303, 'learning_rate': 3.7569146778991534e-05, 'epoch': 0.03}

 37%|███▋      | 3657/10000 [8:25:18<20:24:10, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7911093235015869, dino_loss: 0.68359375, depth_loss: 0.06756628304719925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0289835929870605, dino_loss: 0.7109375, depth_loss: 0.06403346359729767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3658/10000 [8:25:31<20:43:49, 11.77s/it]
                                                         
{'loss': 2.3358, 'grad_norm': 6.6456074714660645, 'learning_rate': 3.7561999608229505e-05, 'epoch': 0.03}

 37%|███▋      | 3658/10000 [8:25:31<20:43:49, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8220154047012329, dino_loss: 0.65234375, depth_loss: 0.060842059552669525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.919944167137146, dino_loss: 0.6796875, depth_loss: 0.0628553181886673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3659/10000 [8:25:43<20:59:07, 11.91s/it]
                                                         
{'loss': 2.1524, 'grad_norm': 2.6613645553588867, 'learning_rate': 3.7554851063706074e-05, 'epoch': 0.03}

 37%|███▋      | 3659/10000 [8:25:43<20:59:07, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8834021091461182, dino_loss: 0.68359375, depth_loss: 0.06904665380716324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9487709403038025, dino_loss: 0.69140625, depth_loss: 0.07674180716276169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3660/10000 [8:25:54<20:47:28, 11.81s/it]
                                                         
{'loss': 2.0349, 'grad_norm': 2.5108654499053955, 'learning_rate': 3.7547701146203005e-05, 'epoch': 0.03}

 37%|███▋      | 3660/10000 [8:25:54<20:47:28, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8811660408973694, dino_loss: 0.66796875, depth_loss: 0.05484943091869354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8806954026222229, dino_loss: 0.703125, depth_loss: 0.06499619781970978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3661/10000 [8:26:06<20:38:53, 11.73s/it]
                                                         
{'loss': 2.2897, 'grad_norm': 4.680249214172363, 'learning_rate': 3.754054985650222e-05, 'epoch': 0.03}

 37%|███▋      | 3661/10000 [8:26:06<20:38:53, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9508010745048523, dino_loss: 0.68359375, depth_loss: 0.05809850990772247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8973879218101501, dino_loss: 0.6953125, depth_loss: 0.06504075229167938, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3662/10000 [8:26:18<20:39:06, 11.73s/it]
                                                         
{'loss': 2.2587, 'grad_norm': 3.82123064994812, 'learning_rate': 3.753339719538574e-05, 'epoch': 0.03}

 37%|███▋      | 3662/10000 [8:26:18<20:39:06, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9683294296264648, dino_loss: 0.6953125, depth_loss: 0.049770958721637726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6766762733459473, dino_loss: 0.6171875, depth_loss: 0.05173174664378166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3663/10000 [8:26:29<20:36:52, 11.71s/it]
                                                         
{'loss': 2.0128, 'grad_norm': 2.8815603256225586, 'learning_rate': 3.752624316363579e-05, 'epoch': 0.03}

 37%|███▋      | 3663/10000 [8:26:29<20:36:52, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.953774631023407, dino_loss: 0.7265625, depth_loss: 0.05566404014825821, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9476228356361389, dino_loss: 0.6875, depth_loss: 0.061876509338617325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3664/10000 [8:26:41<20:32:25, 11.67s/it]
                                                         
{'loss': 2.306, 'grad_norm': 2.5879006385803223, 'learning_rate': 3.751908776203473e-05, 'epoch': 0.03}

 37%|███▋      | 3664/10000 [8:26:41<20:32:25, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7920967936515808, dino_loss: 0.66015625, depth_loss: 0.07303662598133087, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8489482998847961, dino_loss: 0.640625, depth_loss: 0.05780097097158432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3665/10000 [8:26:53<20:38:47, 11.73s/it]
                                                         
{'loss': 1.8794, 'grad_norm': 3.3421854972839355, 'learning_rate': 3.751193099136505e-05, 'epoch': 0.03}

 37%|███▋      | 3665/10000 [8:26:53<20:38:47, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7671046257019043, dino_loss: 0.6484375, depth_loss: 0.0437660813331604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6668776273727417, dino_loss: 0.63671875, depth_loss: 0.06033678352832794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3666/10000 [8:27:05<20:56:40, 11.90s/it]
                                                         
{'loss': 2.1195, 'grad_norm': 3.7255046367645264, 'learning_rate': 3.750477285240941e-05, 'epoch': 0.03}

 37%|███▋      | 3666/10000 [8:27:05<20:56:40, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8331140279769897, dino_loss: 0.6796875, depth_loss: 0.05636700242757797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9019808769226074, dino_loss: 0.62890625, depth_loss: 0.04965290427207947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3667/10000 [8:27:17<20:47:57, 11.82s/it]
                                                         
{'loss': 2.4184, 'grad_norm': 1.84585702419281, 'learning_rate': 3.74976133459506e-05, 'epoch': 0.03}

 37%|███▋      | 3667/10000 [8:27:17<20:47:57, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8391268253326416, dino_loss: 0.67578125, depth_loss: 0.07863179594278336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8402339220046997, dino_loss: 0.6875, depth_loss: 0.05477055162191391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3668/10000 [8:27:28<20:30:02, 11.66s/it]
                                                         
{'loss': 1.9807, 'grad_norm': 2.827592372894287, 'learning_rate': 3.7490452472771594e-05, 'epoch': 0.03}

 37%|███▋      | 3668/10000 [8:27:28<20:30:02, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.062302589416504, dino_loss: 0.703125, depth_loss: 0.05213030427694321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8996450901031494, dino_loss: 0.703125, depth_loss: 0.06229877844452858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3669/10000 [8:27:40<20:36:25, 11.72s/it]
                                                         
{'loss': 2.2866, 'grad_norm': 3.0318124294281006, 'learning_rate': 3.748329023365548e-05, 'epoch': 0.03}

 37%|███▋      | 3669/10000 [8:27:40<20:36:25, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9536298513412476, dino_loss: 0.67578125, depth_loss: 0.0807843804359436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8360869288444519, dino_loss: 0.7109375, depth_loss: 0.06342355906963348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3670/10000 [8:27:51<20:24:33, 11.61s/it]
                                                         
{'loss': 2.3768, 'grad_norm': 2.3541648387908936, 'learning_rate': 3.747612662938552e-05, 'epoch': 0.03}

 37%|███▋      | 3670/10000 [8:27:51<20:24:33, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8742285966873169, dino_loss: 0.671875, depth_loss: 0.06572771072387695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.876430869102478, dino_loss: 0.75390625, depth_loss: 0.09950355440378189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3671/10000 [8:28:03<20:25:21, 11.62s/it]
                                                         
{'loss': 2.4701, 'grad_norm': 3.3855743408203125, 'learning_rate': 3.74689616607451e-05, 'epoch': 0.03}

 37%|███▋      | 3671/10000 [8:28:03<20:25:21, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8415173292160034, dino_loss: 0.67578125, depth_loss: 0.05221552774310112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8426962494850159, dino_loss: 0.65625, depth_loss: 0.04810287058353424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3672/10000 [8:28:14<20:13:28, 11.51s/it]
                                                         
{'loss': 1.6529, 'grad_norm': 4.738195419311523, 'learning_rate': 3.746179532851779e-05, 'epoch': 0.03}

 37%|███▋      | 3672/10000 [8:28:14<20:13:28, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.780241847038269, dino_loss: 0.671875, depth_loss: 0.057833462953567505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9749956727027893, dino_loss: 0.6953125, depth_loss: 0.055520717054605484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3673/10000 [8:28:25<20:08:17, 11.46s/it]
                                                         
{'loss': 1.6271, 'grad_norm': 1.9674732685089111, 'learning_rate': 3.7454627633487274e-05, 'epoch': 0.03}

 37%|███▋      | 3673/10000 [8:28:25<20:08:17, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8073844909667969, dino_loss: 0.6875, depth_loss: 0.06663396209478378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0305050611495972, dino_loss: 0.65625, depth_loss: 0.06473101675510406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3674/10000 [8:28:37<20:15:28, 11.53s/it]
                                                         
{'loss': 2.5686, 'grad_norm': 2.947364091873169, 'learning_rate': 3.7447458576437405e-05, 'epoch': 0.03}

 37%|███▋      | 3674/10000 [8:28:37<20:15:28, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8451797962188721, dino_loss: 0.73828125, depth_loss: 0.06289511919021606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8411271572113037, dino_loss: 0.68359375, depth_loss: 0.04828929901123047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3675/10000 [8:28:49<20:21:08, 11.58s/it]
                                                         
{'loss': 2.2074, 'grad_norm': 2.341383218765259, 'learning_rate': 3.7440288158152187e-05, 'epoch': 0.03}

 37%|███▋      | 3675/10000 [8:28:49<20:21:08, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.800708532333374, dino_loss: 0.6640625, depth_loss: 0.055813875049352646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9142253398895264, dino_loss: 0.68359375, depth_loss: 0.07385899126529694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3676/10000 [8:29:00<20:18:50, 11.56s/it]
                                                         
{'loss': 1.699, 'grad_norm': 2.6924619674682617, 'learning_rate': 3.7433116379415754e-05, 'epoch': 0.03}

 37%|███▋      | 3676/10000 [8:29:00<20:18:50, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1865509748458862, dino_loss: 0.69921875, depth_loss: 0.07961784303188324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9451308250427246, dino_loss: 0.703125, depth_loss: 0.06677241623401642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3677/10000 [8:29:11<19:59:29, 11.38s/it]
                                                         
{'loss': 2.1555, 'grad_norm': 2.941817045211792, 'learning_rate': 3.7425943241012405e-05, 'epoch': 0.03}

 37%|███▋      | 3677/10000 [8:29:11<19:59:29, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8232294321060181, dino_loss: 0.69140625, depth_loss: 0.06972251087427139, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0245119333267212, dino_loss: 0.70703125, depth_loss: 0.06682951748371124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3678/10000 [8:29:23<19:56:54, 11.36s/it]
                                                         
{'loss': 2.3618, 'grad_norm': 2.940814733505249, 'learning_rate': 3.741876874372659e-05, 'epoch': 0.03}

 37%|███▋      | 3678/10000 [8:29:23<19:56:54, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8456020355224609, dino_loss: 0.7265625, depth_loss: 0.07369009405374527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8040542602539062, dino_loss: 0.68359375, depth_loss: 0.07505783438682556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3679/10000 [8:29:35<20:15:34, 11.54s/it]
                                                         
{'loss': 2.6795, 'grad_norm': 2.2626335620880127, 'learning_rate': 3.741159288834289e-05, 'epoch': 0.03}

 37%|███▋      | 3679/10000 [8:29:35<20:15:34, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.99362713098526, dino_loss: 0.6796875, depth_loss: 0.078580841422081, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9449054598808289, dino_loss: 0.69921875, depth_loss: 0.061726003885269165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3680/10000 [8:29:46<20:10:52, 11.50s/it]
                                                         
{'loss': 2.4216, 'grad_norm': 2.7021703720092773, 'learning_rate': 3.7404415675646054e-05, 'epoch': 0.03}

 37%|███▋      | 3680/10000 [8:29:46<20:10:52, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0323253870010376, dino_loss: 0.70703125, depth_loss: 0.0674877017736435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7843820452690125, dino_loss: 0.64453125, depth_loss: 0.06710869818925858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3681/10000 [8:29:57<20:09:31, 11.48s/it]
                                                         
{'loss': 2.2983, 'grad_norm': 2.706064224243164, 'learning_rate': 3.7397237106420965e-05, 'epoch': 0.03}

 37%|███▋      | 3681/10000 [8:29:57<20:09:31, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9675614833831787, dino_loss: 0.72265625, depth_loss: 0.061297982931137085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9271870851516724, dino_loss: 0.734375, depth_loss: 0.05668090283870697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3682/10000 [8:30:09<20:21:52, 11.60s/it]
                                                         
{'loss': 2.6016, 'grad_norm': 2.332305669784546, 'learning_rate': 3.7390057181452674e-05, 'epoch': 0.03}

 37%|███▋      | 3682/10000 [8:30:09<20:21:52, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9088416695594788, dino_loss: 0.7265625, depth_loss: 0.06614603102207184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9151674509048462, dino_loss: 0.66796875, depth_loss: 0.06936212629079819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3683/10000 [8:30:21<20:14:05, 11.53s/it]
                                                         
{'loss': 2.1072, 'grad_norm': 4.062191486358643, 'learning_rate': 3.7382875901526354e-05, 'epoch': 0.03}

 37%|███▋      | 3683/10000 [8:30:21<20:14:05, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.9554097056388855, dino_loss: 0.7109375, depth_loss: 0.06202945113182068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9483556747436523, dino_loss: 0.69140625, depth_loss: 0.0694287121295929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3684/10000 [8:30:32<20:16:10, 11.55s/it]
                                                         
{'loss': 2.5879, 'grad_norm': 2.48337721824646, 'learning_rate': 3.7375693267427346e-05, 'epoch': 0.03}

 37%|███▋      | 3684/10000 [8:30:32<20:16:10, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8956937789916992, dino_loss: 0.76171875, depth_loss: 0.06419698148965836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8348288536071777, dino_loss: 0.72265625, depth_loss: 0.06583812087774277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3685/10000 [8:30:45<20:41:14, 11.79s/it]
                                                         
{'loss': 2.4072, 'grad_norm': 10.434313774108887, 'learning_rate': 3.7368509279941134e-05, 'epoch': 0.03}

 37%|███▋      | 3685/10000 [8:30:45<20:41:14, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7928445339202881, dino_loss: 0.734375, depth_loss: 0.06238054484128952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9113746285438538, dino_loss: 0.6875, depth_loss: 0.07990557700395584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3686/10000 [8:30:57<20:43:55, 11.82s/it]
                                                         
{'loss': 2.4512, 'grad_norm': 2.121394634246826, 'learning_rate': 3.736132393985333e-05, 'epoch': 0.03}

 37%|███▋      | 3686/10000 [8:30:57<20:43:55, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6485151052474976, dino_loss: 0.66015625, depth_loss: 0.046017326414585114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8611406683921814, dino_loss: 0.65625, depth_loss: 0.058933742344379425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3687/10000 [8:31:08<20:46:43, 11.85s/it]
                                                         
{'loss': 1.7317, 'grad_norm': 3.2384369373321533, 'learning_rate': 3.7354137247949735e-05, 'epoch': 0.03}

 37%|███▋      | 3687/10000 [8:31:08<20:46:43, 11.85s/it]the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.7727013826370239, dino_loss: 0.66015625, depth_loss: 0.045189857482910156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0464223623275757, dino_loss: 0.69140625, depth_loss: 0.06464157998561859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3688/10000 [8:31:20<20:26:52, 11.66s/it]
                                                         
{'loss': 2.1395, 'grad_norm': 2.621616840362549, 'learning_rate': 3.7346949205016255e-05, 'epoch': 0.03}

 37%|███▋      | 3688/10000 [8:31:20<20:26:52, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8533356189727783, dino_loss: 0.7109375, depth_loss: 0.06892760843038559, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9361014366149902, dino_loss: 0.66015625, depth_loss: 0.06349460780620575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3689/10000 [8:31:31<20:21:42, 11.62s/it]
                                                         
{'loss': 2.3113, 'grad_norm': 6.294168949127197, 'learning_rate': 3.733975981183898e-05, 'epoch': 0.03}

 37%|███▋      | 3689/10000 [8:31:31<20:21:42, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9664105176925659, dino_loss: 0.6484375, depth_loss: 0.04709336906671524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7900477647781372, dino_loss: 0.6484375, depth_loss: 0.06634487956762314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3690/10000 [8:31:43<20:27:49, 11.68s/it]
                                                         
{'loss': 1.9401, 'grad_norm': 2.971346855163574, 'learning_rate': 3.733256906920413e-05, 'epoch': 0.03}

 37%|███▋      | 3690/10000 [8:31:43<20:27:49, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8323465585708618, dino_loss: 0.64453125, depth_loss: 0.044001638889312744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7810038924217224, dino_loss: 0.6640625, depth_loss: 0.0553131066262722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3691/10000 [8:31:54<20:17:09, 11.58s/it]
                                                         
{'loss': 1.9229, 'grad_norm': 4.003098487854004, 'learning_rate': 3.7325376977898055e-05, 'epoch': 0.03}

 37%|███▋      | 3691/10000 [8:31:54<20:17:09, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7883362770080566, dino_loss: 0.6875, depth_loss: 0.0768539309501648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8458622694015503, dino_loss: 0.6875, depth_loss: 0.06056131422519684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3692/10000 [8:32:06<20:27:45, 11.68s/it]
                                                         
{'loss': 2.1276, 'grad_norm': 2.0209527015686035, 'learning_rate': 3.731818353870729e-05, 'epoch': 0.03}

 37%|███▋      | 3692/10000 [8:32:06<20:27:45, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7390894889831543, dino_loss: 0.7265625, depth_loss: 0.08320672065019608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8992823362350464, dino_loss: 0.71875, depth_loss: 0.07485376298427582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3693/10000 [8:32:18<20:19:36, 11.60s/it]
                                                         
{'loss': 1.8771, 'grad_norm': 2.9003236293792725, 'learning_rate': 3.7310988752418496e-05, 'epoch': 0.03}

 37%|███▋      | 3693/10000 [8:32:18<20:19:36, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7456604838371277, dino_loss: 0.6875, depth_loss: 0.06788148730993271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9105058908462524, dino_loss: 0.74609375, depth_loss: 0.061580151319503784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3694/10000 [8:32:29<20:16:25, 11.57s/it]
                                                         
{'loss': 2.2805, 'grad_norm': 3.282451629638672, 'learning_rate': 3.7303792619818485e-05, 'epoch': 0.03}

 37%|███▋      | 3694/10000 [8:32:29<20:16:25, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8484375476837158, dino_loss: 0.69140625, depth_loss: 0.06593362987041473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031445026397705, dino_loss: 0.71484375, depth_loss: 0.054693032056093216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3695/10000 [8:32:41<20:32:28, 11.73s/it]
                                                         
{'loss': 2.485, 'grad_norm': 2.714627504348755, 'learning_rate': 3.72965951416942e-05, 'epoch': 0.03}

 37%|███▋      | 3695/10000 [8:32:41<20:32:28, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.143547534942627, dino_loss: 0.6953125, depth_loss: 0.05427578091621399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9677814245223999, dino_loss: 0.66796875, depth_loss: 0.04993605986237526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3696/10000 [8:32:54<21:04:20, 12.03s/it]
                                                         
{'loss': 2.4304, 'grad_norm': 4.425670146942139, 'learning_rate': 3.728939631883277e-05, 'epoch': 0.03}

 37%|███▋      | 3696/10000 [8:32:54<21:04:20, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0088143348693848, dino_loss: 0.69140625, depth_loss: 0.055104199796915054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8922944068908691, dino_loss: 0.61328125, depth_loss: 0.04120808467268944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3697/10000 [8:33:05<20:42:59, 11.83s/it]
                                                         
{'loss': 2.0774, 'grad_norm': 2.7936434745788574, 'learning_rate': 3.728219615202143e-05, 'epoch': 0.03}

 37%|███▋      | 3697/10000 [8:33:05<20:42:59, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9155741930007935, dino_loss: 0.67578125, depth_loss: 0.06984221935272217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8286402225494385, dino_loss: 0.734375, depth_loss: 0.06975485384464264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3698/10000 [8:33:17<20:38:15, 11.79s/it]
                                                         
{'loss': 2.1595, 'grad_norm': 3.993917942047119, 'learning_rate': 3.727499464204758e-05, 'epoch': 0.03}

 37%|███▋      | 3698/10000 [8:33:17<20:38:15, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0809109210968018, dino_loss: 0.6875, depth_loss: 0.06429564952850342, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8009787797927856, dino_loss: 0.625, depth_loss: 0.05119860917329788, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3699/10000 [8:33:29<20:38:59, 11.80s/it]
                                                         
{'loss': 2.1414, 'grad_norm': 1.936387062072754, 'learning_rate': 3.7267791789698776e-05, 'epoch': 0.03}

 37%|███▋      | 3699/10000 [8:33:29<20:38:59, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.021132230758667, dino_loss: 0.6953125, depth_loss: 0.05244412273168564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.958310604095459, dino_loss: 0.62890625, depth_loss: 0.05372920259833336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3700/10000 [8:33:40<20:19:16, 11.61s/it]
                                                         
{'loss': 2.4035, 'grad_norm': 2.43814754486084, 'learning_rate': 3.726058759576271e-05, 'epoch': 0.03}

 37%|███▋      | 3700/10000 [8:33:40<20:19:16, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.7228427529335022, dino_loss: 0.6484375, depth_loss: 0.06569460034370422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8182753324508667, dino_loss: 0.71875, depth_loss: 0.06702467054128647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3701/10000 [8:33:51<20:10:12, 11.53s/it]
                                                         
{'loss': 1.767, 'grad_norm': 3.4474198818206787, 'learning_rate': 3.725338206102721e-05, 'epoch': 0.03}

 37%|███▋      | 3701/10000 [8:33:51<20:10:12, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0695841312408447, dino_loss: 0.6796875, depth_loss: 0.08470387756824493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8427956104278564, dino_loss: 0.6875, depth_loss: 0.04904387891292572, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3702/10000 [8:34:03<20:23:27, 11.66s/it]
                                                         
{'loss': 2.6065, 'grad_norm': 4.928455829620361, 'learning_rate': 3.724617518628027e-05, 'epoch': 0.03}

 37%|███▋      | 3702/10000 [8:34:03<20:23:27, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6846129298210144, dino_loss: 0.62109375, depth_loss: 0.040794529020786285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6380997896194458, dino_loss: 0.6875, depth_loss: 0.05388537049293518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3703/10000 [8:34:16<20:43:01, 11.84s/it]
                                                         
{'loss': 2.0146, 'grad_norm': 2.974198579788208, 'learning_rate': 3.723896697231003e-05, 'epoch': 0.03}

 37%|███▋      | 3703/10000 [8:34:16<20:43:01, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9079803824424744, dino_loss: 0.65625, depth_loss: 0.0620272234082222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9353505373001099, dino_loss: 0.6953125, depth_loss: 0.06737170368432999, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3704/10000 [8:34:28<20:49:02, 11.90s/it]
                                                         
{'loss': 2.4322, 'grad_norm': 2.1911609172821045, 'learning_rate': 3.723175741990476e-05, 'epoch': 0.03}

 37%|███▋      | 3704/10000 [8:34:28<20:49:02, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8904026746749878, dino_loss: 0.6875, depth_loss: 0.05618109554052353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9687529802322388, dino_loss: 0.69140625, depth_loss: 0.058753710240125656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3705/10000 [8:34:39<20:41:40, 11.83s/it]
                                                         
{'loss': 2.4274, 'grad_norm': 3.333528757095337, 'learning_rate': 3.722454652985289e-05, 'epoch': 0.03}

 37%|███▋      | 3705/10000 [8:34:39<20:41:40, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8685107231140137, dino_loss: 0.703125, depth_loss: 0.06820856034755707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0094428062438965, dino_loss: 0.69921875, depth_loss: 0.06824436783790588, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3706/10000 [8:34:52<21:00:27, 12.02s/it]
                                                         
{'loss': 2.5013, 'grad_norm': 3.4251928329467773, 'learning_rate': 3.7217334302942994e-05, 'epoch': 0.03}

 37%|███▋      | 3706/10000 [8:34:52<21:00:27, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8996042609214783, dino_loss: 0.70703125, depth_loss: 0.07832705974578857, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9504563808441162, dino_loss: 0.71484375, depth_loss: 0.05927392840385437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3707/10000 [8:35:03<20:50:00, 11.92s/it]
                                                         
{'loss': 2.5309, 'grad_norm': 2.430386543273926, 'learning_rate': 3.721012073996378e-05, 'epoch': 0.03}

 37%|███▋      | 3707/10000 [8:35:03<20:50:00, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8656938672065735, dino_loss: 0.71875, depth_loss: 0.08051488548517227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9237566590309143, dino_loss: 0.68359375, depth_loss: 0.062478721141815186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3708/10000 [8:35:15<20:25:55, 11.69s/it]
                                                         
{'loss': 2.2791, 'grad_norm': 2.9592299461364746, 'learning_rate': 3.7202905841704124e-05, 'epoch': 0.03}

 37%|███▋      | 3708/10000 [8:35:15<20:25:55, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8227104544639587, dino_loss: 0.68359375, depth_loss: 0.05563070625066757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7323523163795471, dino_loss: 0.671875, depth_loss: 0.053497765213251114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3709/10000 [8:35:26<20:26:23, 11.70s/it]
                                                         
{'loss': 1.9603, 'grad_norm': 6.909228801727295, 'learning_rate': 3.719568960895303e-05, 'epoch': 0.03}

 37%|███▋      | 3709/10000 [8:35:26<20:26:23, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9062978029251099, dino_loss: 0.6953125, depth_loss: 0.063189297914505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8553052544593811, dino_loss: 0.65625, depth_loss: 0.06007498502731323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3710/10000 [8:35:38<20:13:07, 11.57s/it]
                                                         
{'loss': 1.9682, 'grad_norm': 6.584043025970459, 'learning_rate': 3.718847204249966e-05, 'epoch': 0.03}

 37%|███▋      | 3710/10000 [8:35:38<20:13:07, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8700076937675476, dino_loss: 0.65234375, depth_loss: 0.06844769418239594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9076566696166992, dino_loss: 0.71875, depth_loss: 0.08370864391326904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3711/10000 [8:35:49<20:05:25, 11.50s/it]
                                                         
{'loss': 1.7861, 'grad_norm': 3.3402557373046875, 'learning_rate': 3.718125314313331e-05, 'epoch': 0.03}

 37%|███▋      | 3711/10000 [8:35:49<20:05:25, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8314321637153625, dino_loss: 0.7265625, depth_loss: 0.04726722091436386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8178259134292603, dino_loss: 0.68359375, depth_loss: 0.05454980581998825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3712/10000 [8:36:00<20:04:06, 11.49s/it]
                                                         
{'loss': 1.8661, 'grad_norm': 3.1692512035369873, 'learning_rate': 3.717403291164343e-05, 'epoch': 0.03}

 37%|███▋      | 3712/10000 [8:36:00<20:04:06, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9095900654792786, dino_loss: 0.65234375, depth_loss: 0.05437811091542244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8577183485031128, dino_loss: 0.625, depth_loss: 0.07069317996501923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3713/10000 [8:36:12<20:04:05, 11.49s/it]
                                                         
{'loss': 1.8675, 'grad_norm': 3.192655563354492, 'learning_rate': 3.716681134881962e-05, 'epoch': 0.03}

 37%|███▋      | 3713/10000 [8:36:12<20:04:05, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9141109585762024, dino_loss: 0.71484375, depth_loss: 0.06466870754957199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8129908442497253, dino_loss: 0.69140625, depth_loss: 0.06281311064958572, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3714/10000 [8:36:24<20:07:31, 11.53s/it]
                                                         
{'loss': 2.1068, 'grad_norm': 4.599348068237305, 'learning_rate': 3.71595884554516e-05, 'epoch': 0.03}

 37%|███▋      | 3714/10000 [8:36:24<20:07:31, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8536326885223389, dino_loss: 0.7421875, depth_loss: 0.05966006964445114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7179001569747925, dino_loss: 0.703125, depth_loss: 0.056509263813495636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3715/10000 [8:36:35<20:09:57, 11.55s/it]
                                                         
{'loss': 2.1163, 'grad_norm': 1.985348105430603, 'learning_rate': 3.715236423232928e-05, 'epoch': 0.03}

 37%|███▋      | 3715/10000 [8:36:35<20:09:57, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8889884352684021, dino_loss: 0.7265625, depth_loss: 0.06839483976364136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8574061393737793, dino_loss: 0.73828125, depth_loss: 0.06324340403079987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3716/10000 [8:36:47<20:04:03, 11.50s/it]
                                                         
{'loss': 2.2291, 'grad_norm': 2.8290324211120605, 'learning_rate': 3.7145138680242675e-05, 'epoch': 0.03}

 37%|███▋      | 3716/10000 [8:36:47<20:04:03, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9762306213378906, dino_loss: 0.76171875, depth_loss: 0.07789774239063263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8873182535171509, dino_loss: 0.69140625, depth_loss: 0.05540671572089195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3717/10000 [8:36:58<19:59:13, 11.45s/it]
                                                         
{'loss': 2.0558, 'grad_norm': 2.2228057384490967, 'learning_rate': 3.713791179998197e-05, 'epoch': 0.03}

 37%|███▋      | 3717/10000 [8:36:58<19:59:13, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6757043600082397, dino_loss: 0.68359375, depth_loss: 0.06851614266633987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8534771203994751, dino_loss: 0.69140625, depth_loss: 0.05094801262021065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3718/10000 [8:37:10<20:22:03, 11.67s/it]
                                                         
{'loss': 1.8358, 'grad_norm': 3.440495014190674, 'learning_rate': 3.7130683592337465e-05, 'epoch': 0.03}

 37%|███▋      | 3718/10000 [8:37:10<20:22:03, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9857505559921265, dino_loss: 0.7109375, depth_loss: 0.062700055539608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8694393634796143, dino_loss: 0.6875, depth_loss: 0.0670517235994339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3719/10000 [8:37:21<20:09:47, 11.56s/it]
                                                         
{'loss': 2.2229, 'grad_norm': 2.2403981685638428, 'learning_rate': 3.712345405809965e-05, 'epoch': 0.03}

 37%|███▋      | 3719/10000 [8:37:21<20:09:47, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9518933892250061, dino_loss: 0.73046875, depth_loss: 0.0661274790763855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7603903412818909, dino_loss: 0.6953125, depth_loss: 0.06665696948766708, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3720/10000 [8:37:33<20:14:22, 11.60s/it]
                                                         
{'loss': 1.8858, 'grad_norm': 3.4343960285186768, 'learning_rate': 3.711622319805913e-05, 'epoch': 0.03}

 37%|███▋      | 3720/10000 [8:37:33<20:14:22, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8814871311187744, dino_loss: 0.72265625, depth_loss: 0.057800158858299255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9681341648101807, dino_loss: 0.72265625, depth_loss: 0.07397102564573288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3721/10000 [8:37:45<20:13:50, 11.60s/it]
                                                         
{'loss': 2.0621, 'grad_norm': 3.764143943786621, 'learning_rate': 3.710899101300665e-05, 'epoch': 0.03}

 37%|███▋      | 3721/10000 [8:37:45<20:13:50, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8343616724014282, dino_loss: 0.69140625, depth_loss: 0.0755593553185463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6911709308624268, dino_loss: 0.62109375, depth_loss: 0.05168898403644562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3722/10000 [8:37:56<20:14:00, 11.60s/it]
                                                         
{'loss': 1.7823, 'grad_norm': 2.269690752029419, 'learning_rate': 3.710175750373312e-05, 'epoch': 0.03}

 37%|███▋      | 3722/10000 [8:37:56<20:14:00, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8366072177886963, dino_loss: 0.7109375, depth_loss: 0.07844018936157227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9393661022186279, dino_loss: 0.71875, depth_loss: 0.08109020441770554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3723/10000 [8:38:07<19:58:25, 11.46s/it]
                                                         
{'loss': 1.9636, 'grad_norm': 2.71130633354187, 'learning_rate': 3.7094522671029586e-05, 'epoch': 0.03}

 37%|███▋      | 3723/10000 [8:38:07<19:58:25, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7314884662628174, dino_loss: 0.72265625, depth_loss: 0.08075275272130966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.987952470779419, dino_loss: 0.68359375, depth_loss: 0.055764950811862946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3724/10000 [8:38:19<20:02:33, 11.50s/it]
                                                         
{'loss': 2.2869, 'grad_norm': 2.2742295265197754, 'learning_rate': 3.708728651568724e-05, 'epoch': 0.03}

 37%|███▋      | 3724/10000 [8:38:19<20:02:33, 11.50s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8385353088378906, dino_loss: 0.6640625, depth_loss: 0.06156416982412338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6691912412643433, dino_loss: 0.62109375, depth_loss: 0.047671839594841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3725/10000 [8:38:30<19:59:07, 11.47s/it]
                                                         
{'loss': 1.7631, 'grad_norm': 2.09279203414917, 'learning_rate': 3.708004903849741e-05, 'epoch': 0.03}

 37%|███▋      | 3725/10000 [8:38:30<19:59:07, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8202266693115234, dino_loss: 0.6875, depth_loss: 0.06373140215873718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8626235127449036, dino_loss: 0.6640625, depth_loss: 0.05729539319872856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3726/10000 [8:38:42<20:10:36, 11.58s/it]
                                                         
{'loss': 2.2187, 'grad_norm': 2.344817876815796, 'learning_rate': 3.7072810240251574e-05, 'epoch': 0.03}

 37%|███▋      | 3726/10000 [8:38:42<20:10:36, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8583394289016724, dino_loss: 0.69921875, depth_loss: 0.058891139924526215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8545032739639282, dino_loss: 0.73046875, depth_loss: 0.0872625857591629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3727/10000 [8:38:53<19:57:25, 11.45s/it]
                                                         
{'loss': 2.2814, 'grad_norm': 9.60000991821289, 'learning_rate': 3.7065570121741366e-05, 'epoch': 0.03}

 37%|███▋      | 3727/10000 [8:38:53<19:57:25, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8213769197463989, dino_loss: 0.69140625, depth_loss: 0.06258479505777359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6910200119018555, dino_loss: 0.63671875, depth_loss: 0.04314883425831795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3728/10000 [8:39:05<19:59:13, 11.47s/it]
                                                         
{'loss': 1.6, 'grad_norm': 2.1673452854156494, 'learning_rate': 3.7058328683758545e-05, 'epoch': 0.03}

 37%|███▋      | 3728/10000 [8:39:05<19:59:13, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0640809535980225, dino_loss: 0.703125, depth_loss: 0.06957817822694778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8384716510772705, dino_loss: 0.6953125, depth_loss: 0.07078806310892105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3729/10000 [8:39:16<19:42:14, 11.31s/it]
                                                         
{'loss': 1.9013, 'grad_norm': 2.533066749572754, 'learning_rate': 3.705108592709503e-05, 'epoch': 0.03}

 37%|███▋      | 3729/10000 [8:39:16<19:42:14, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7188942432403564, dino_loss: 0.59765625, depth_loss: 0.05395766347646713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9114986062049866, dino_loss: 0.76953125, depth_loss: 0.06949525326490402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3730/10000 [8:39:28<20:20:34, 11.68s/it]
                                                         
{'loss': 2.3502, 'grad_norm': 2.59710955619812, 'learning_rate': 3.704384185254288e-05, 'epoch': 0.03}

 37%|███▋      | 3730/10000 [8:39:28<20:20:34, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7878261804580688, dino_loss: 0.6796875, depth_loss: 0.0772290974855423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.925216019153595, dino_loss: 0.65625, depth_loss: 0.07183480262756348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3731/10000 [8:39:40<20:07:18, 11.56s/it]
                                                         
{'loss': 1.847, 'grad_norm': 2.1654772758483887, 'learning_rate': 3.7036596460894296e-05, 'epoch': 0.03}

 37%|███▋      | 3731/10000 [8:39:40<20:07:18, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8401292562484741, dino_loss: 0.74609375, depth_loss: 0.0658261626958847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9574323892593384, dino_loss: 0.6953125, depth_loss: 0.06176864728331566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3732/10000 [8:39:51<19:57:02, 11.46s/it]
                                                         
{'loss': 2.2298, 'grad_norm': 2.457502603530884, 'learning_rate': 3.7029349752941616e-05, 'epoch': 0.03}

 37%|███▋      | 3732/10000 [8:39:51<19:57:02, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9575663805007935, dino_loss: 0.69921875, depth_loss: 0.06735076755285263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7352750301361084, dino_loss: 0.64453125, depth_loss: 0.04643336683511734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3733/10000 [8:40:03<20:06:55, 11.56s/it]
                                                         
{'loss': 2.176, 'grad_norm': 5.557810306549072, 'learning_rate': 3.702210172947733e-05, 'epoch': 0.03}

 37%|███▋      | 3733/10000 [8:40:03<20:06:55, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9379078149795532, dino_loss: 0.6875, depth_loss: 0.06594378501176834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8103972673416138, dino_loss: 0.62109375, depth_loss: 0.055213943123817444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3734/10000 [8:40:14<20:05:52, 11.55s/it]
                                                         
{'loss': 2.1796, 'grad_norm': 3.011566638946533, 'learning_rate': 3.701485239129408e-05, 'epoch': 0.03}

 37%|███▋      | 3734/10000 [8:40:14<20:05:52, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8870064616203308, dino_loss: 0.7421875, depth_loss: 0.06857333332300186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.838807225227356, dino_loss: 0.71875, depth_loss: 0.06769268214702606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3735/10000 [8:40:26<20:05:55, 11.55s/it]
                                                         
{'loss': 2.4089, 'grad_norm': 2.700047254562378, 'learning_rate': 3.700760173918463e-05, 'epoch': 0.03}

 37%|███▋      | 3735/10000 [8:40:26<20:05:55, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7841993570327759, dino_loss: 0.6953125, depth_loss: 0.068194679915905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 2
seg_loss: 0.9329780340194702, dino_loss: 0.671875, depth_loss: 0.06342359632253647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3736/10000 [8:40:37<19:59:23, 11.49s/it]
                                                         
{'loss': 2.178, 'grad_norm': 3.1517040729522705, 'learning_rate': 3.700034977394192e-05, 'epoch': 0.03}

 37%|███▋      | 3736/10000 [8:40:37<19:59:23, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9952298402786255, dino_loss: 0.72265625, depth_loss: 0.06668050587177277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9496189951896667, dino_loss: 0.73046875, depth_loss: 0.05914377421140671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3737/10000 [8:40:48<19:47:04, 11.37s/it]
                                                         
{'loss': 2.3296, 'grad_norm': 2.9928436279296875, 'learning_rate': 3.699309649635899e-05, 'epoch': 0.03}

 37%|███▋      | 3737/10000 [8:40:48<19:47:04, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8915403485298157, dino_loss: 0.6640625, depth_loss: 0.05074022337794304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8860042095184326, dino_loss: 0.73828125, depth_loss: 0.053624317049980164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3738/10000 [8:40:59<19:44:58, 11.35s/it]
                                                         
{'loss': 1.9493, 'grad_norm': 4.997657775878906, 'learning_rate': 3.698584190722906e-05, 'epoch': 0.03}

 37%|███▋      | 3738/10000 [8:40:59<19:44:58, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9483140110969543, dino_loss: 0.6953125, depth_loss: 0.06938262283802032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9609275460243225, dino_loss: 0.67578125, depth_loss: 0.04985169321298599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3739/10000 [8:41:12<20:06:44, 11.56s/it]
                                                         
{'loss': 2.0124, 'grad_norm': 2.234428644180298, 'learning_rate': 3.697858600734548e-05, 'epoch': 0.03}

 37%|███▋      | 3739/10000 [8:41:12<20:06:44, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6524586081504822, dino_loss: 0.671875, depth_loss: 0.04887861758470535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8267890214920044, dino_loss: 0.7109375, depth_loss: 0.06039676070213318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3740/10000 [8:41:23<20:18:45, 11.68s/it]
                                                         
{'loss': 2.0819, 'grad_norm': 2.969073534011841, 'learning_rate': 3.697132879750174e-05, 'epoch': 0.03}

 37%|███▋      | 3740/10000 [8:41:23<20:18:45, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6376087665557861, dino_loss: 0.63671875, depth_loss: 0.0514717623591423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0496619939804077, dino_loss: 0.69921875, depth_loss: 0.0625305026769638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3741/10000 [8:41:36<20:39:33, 11.88s/it]
                                                         
{'loss': 2.0347, 'grad_norm': 6.490259170532227, 'learning_rate': 3.696407027849149e-05, 'epoch': 0.03}

 37%|███▋      | 3741/10000 [8:41:36<20:39:33, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0174940824508667, dino_loss: 0.68359375, depth_loss: 0.0654648095369339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8807708024978638, dino_loss: 0.69921875, depth_loss: 0.06501342356204987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3742/10000 [8:41:47<20:23:49, 11.73s/it]
                                                         
{'loss': 2.0339, 'grad_norm': 3.343667507171631, 'learning_rate': 3.695681045110849e-05, 'epoch': 0.03}

 37%|███▋      | 3742/10000 [8:41:47<20:23:49, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.892021119594574, dino_loss: 0.6953125, depth_loss: 0.05633585900068283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0146682262420654, dino_loss: 0.69140625, depth_loss: 0.06524214148521423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3743/10000 [8:42:00<20:42:55, 11.92s/it]
                                                         
{'loss': 2.7793, 'grad_norm': 3.6742918491363525, 'learning_rate': 3.694954931614668e-05, 'epoch': 0.03}

 37%|███▋      | 3743/10000 [8:42:00<20:42:55, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7724409103393555, dino_loss: 0.72265625, depth_loss: 0.0641995221376419, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8498969078063965, dino_loss: 0.68359375, depth_loss: 0.05911450833082199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3744/10000 [8:42:12<20:50:30, 11.99s/it]
                                                         
{'loss': 2.188, 'grad_norm': 3.5231597423553467, 'learning_rate': 3.694228687440013e-05, 'epoch': 0.03}

 37%|███▋      | 3744/10000 [8:42:12<20:50:30, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9181995391845703, dino_loss: 0.671875, depth_loss: 0.046598903834819794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8980495929718018, dino_loss: 0.70703125, depth_loss: 0.06963048130273819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3745/10000 [8:42:23<20:30:13, 11.80s/it]
                                                         
{'loss': 2.4017, 'grad_norm': 3.392496109008789, 'learning_rate': 3.693502312666304e-05, 'epoch': 0.03}

 37%|███▋      | 3745/10000 [8:42:23<20:30:13, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8037868142127991, dino_loss: 0.64453125, depth_loss: 0.05119716376066208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7091841697692871, dino_loss: 0.6484375, depth_loss: 0.05674806982278824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3746/10000 [8:42:35<20:47:27, 11.97s/it]
                                                         
{'loss': 2.085, 'grad_norm': 2.1971096992492676, 'learning_rate': 3.692775807372976e-05, 'epoch': 0.03}

 37%|███▋      | 3746/10000 [8:42:35<20:47:27, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9152027368545532, dino_loss: 0.671875, depth_loss: 0.07080115377902985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.7706390023231506, dino_loss: 0.7109375, depth_loss: 0.053632110357284546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3747/10000 [8:42:47<20:27:52, 11.78s/it]
                                                         
{'loss': 2.1241, 'grad_norm': 3.105449914932251, 'learning_rate': 3.692049171639479e-05, 'epoch': 0.03}

 37%|███▋      | 3747/10000 [8:42:47<20:27:52, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0089524984359741, dino_loss: 0.734375, depth_loss: 0.053794823586940765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8455958366394043, dino_loss: 0.6796875, depth_loss: 0.0722026452422142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3748/10000 [8:42:59<20:35:20, 11.86s/it]
                                                         
{'loss': 2.366, 'grad_norm': 3.5273385047912598, 'learning_rate': 3.691322405545278e-05, 'epoch': 0.03}

 37%|███▋      | 3748/10000 [8:42:59<20:35:20, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9758894443511963, dino_loss: 0.69921875, depth_loss: 0.0826270580291748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9582895040512085, dino_loss: 0.70703125, depth_loss: 0.06397174298763275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 37%|███▋      | 3749/10000 [8:43:10<20:04:09, 11.56s/it]
                                                         
{'loss': 2.2652, 'grad_norm': 3.117230176925659, 'learning_rate': 3.690595509169848e-05, 'epoch': 0.03}

 37%|███▋      | 3749/10000 [8:43:10<20:04:09, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8488696813583374, dino_loss: 0.7265625, depth_loss: 0.08976679295301437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9253100156784058, dino_loss: 0.69140625, depth_loss: 0.05458136647939682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3750/10000 [8:43:21<20:07:17, 11.59s/it]
                                                         
{'loss': 2.2483, 'grad_norm': 3.244121551513672, 'learning_rate': 3.689868482592684e-05, 'epoch': 0.03}

 38%|███▊      | 3750/10000 [8:43:21<20:07:17, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8813813924789429, dino_loss: 0.6953125, depth_loss: 0.060608867555856705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.977286696434021, dino_loss: 0.71875, depth_loss: 0.07208938896656036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3751/10000 [8:43:33<20:07:09, 11.59s/it]
                                                         
{'loss': 2.2042, 'grad_norm': 2.078463554382324, 'learning_rate': 3.6891413258932916e-05, 'epoch': 0.03}

 38%|███▊      | 3751/10000 [8:43:33<20:07:09, 11.59s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.8750903606414795, dino_loss: 0.69921875, depth_loss: 0.04808174818754196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8594222068786621, dino_loss: 0.6796875, depth_loss: 0.057770855724811554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3752/10000 [8:43:45<20:12:13, 11.64s/it]
                                                         
{'loss': 2.1636, 'grad_norm': 2.426305055618286, 'learning_rate': 3.688414039151192e-05, 'epoch': 0.03}

 38%|███▊      | 3752/10000 [8:43:45<20:12:13, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6973257064819336, dino_loss: 0.63671875, depth_loss: 0.058352336287498474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8901050090789795, dino_loss: 0.671875, depth_loss: 0.06410235166549683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3753/10000 [8:43:56<20:09:31, 11.62s/it]
                                                         
{'loss': 1.9401, 'grad_norm': 2.087386131286621, 'learning_rate': 3.68768662244592e-05, 'epoch': 0.03}

 38%|███▊      | 3753/10000 [8:43:56<20:09:31, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.902118444442749, dino_loss: 0.703125, depth_loss: 0.07518243044614792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.8827699422836304, dino_loss: 0.68359375, depth_loss: 0.0624731108546257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3754/10000 [8:44:08<20:08:59, 11.61s/it]
                                                         
{'loss': 2.2346, 'grad_norm': 2.529675006866455, 'learning_rate': 3.686959075857024e-05, 'epoch': 0.03}

 38%|███▊      | 3754/10000 [8:44:08<20:08:59, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8121973276138306, dino_loss: 0.625, depth_loss: 0.05653754249215126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9795218706130981, dino_loss: 0.734375, depth_loss: 0.06809268146753311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3755/10000 [8:44:19<19:55:42, 11.49s/it]
                                                         
{'loss': 1.6469, 'grad_norm': 3.9559578895568848, 'learning_rate': 3.6862313994640686e-05, 'epoch': 0.03}

 38%|███▊      | 3755/10000 [8:44:19<19:55:42, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7299032211303711, dino_loss: 0.6875, depth_loss: 0.06535973399877548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9910512566566467, dino_loss: 0.71875, depth_loss: 0.07017991691827774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3756/10000 [8:44:31<20:06:23, 11.59s/it]
                                                         
{'loss': 1.9114, 'grad_norm': 2.3263845443725586, 'learning_rate': 3.68550359334663e-05, 'epoch': 0.03}

 38%|███▊      | 3756/10000 [8:44:31<20:06:23, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9958136677742004, dino_loss: 0.6875, depth_loss: 0.078426793217659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8628859519958496, dino_loss: 0.671875, depth_loss: 0.05380171164870262, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3757/10000 [8:44:43<20:18:14, 11.71s/it]
                                                         
{'loss': 2.5454, 'grad_norm': 3.5935544967651367, 'learning_rate': 3.684775657584302e-05, 'epoch': 0.03}

 38%|███▊      | 3757/10000 [8:44:43<20:18:14, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8464316129684448, dino_loss: 0.64453125, depth_loss: 0.06731095910072327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8164368271827698, dino_loss: 0.6875, depth_loss: 0.05563395470380783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3758/10000 [8:44:55<20:30:26, 11.83s/it]
                                                         
{'loss': 2.0409, 'grad_norm': 2.978955030441284, 'learning_rate': 3.6840475922566886e-05, 'epoch': 0.03}

 38%|███▊      | 3758/10000 [8:44:55<20:30:26, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8984234929084778, dino_loss: 0.7109375, depth_loss: 0.06411020457744598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0248074531555176, dino_loss: 0.68359375, depth_loss: 0.06146245077252388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3759/10000 [8:45:07<20:26:15, 11.79s/it]
                                                         
{'loss': 2.2108, 'grad_norm': 3.7101871967315674, 'learning_rate': 3.68331939744341e-05, 'epoch': 0.03}

 38%|███▊      | 3759/10000 [8:45:07<20:26:15, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9468098878860474, dino_loss: 0.71875, depth_loss: 0.0644485354423523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7616327404975891, dino_loss: 0.65625, depth_loss: 0.05687049776315689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3760/10000 [8:45:18<20:22:27, 11.75s/it]
                                                         
{'loss': 1.6992, 'grad_norm': 4.3177008628845215, 'learning_rate': 3.6825910732241026e-05, 'epoch': 0.03}

 38%|███▊      | 3760/10000 [8:45:18<20:22:27, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8368281126022339, dino_loss: 0.73828125, depth_loss: 0.06804147362709045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7953872680664062, dino_loss: 0.73828125, depth_loss: 0.08117648959159851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3761/10000 [8:45:31<20:44:41, 11.97s/it]
                                                         
{'loss': 2.4985, 'grad_norm': 3.244455099105835, 'learning_rate': 3.681862619678413e-05, 'epoch': 0.03}

 38%|███▊      | 3761/10000 [8:45:31<20:44:41, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8465110063552856, dino_loss: 0.71484375, depth_loss: 0.049725133925676346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0152429342269897, dino_loss: 0.71484375, depth_loss: 0.07177236676216125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3762/10000 [8:45:43<20:49:27, 12.02s/it]
                                                         
{'loss': 2.4646, 'grad_norm': 2.9795994758605957, 'learning_rate': 3.681134036886003e-05, 'epoch': 0.03}

 38%|███▊      | 3762/10000 [8:45:43<20:49:27, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8796346187591553, dino_loss: 0.63671875, depth_loss: 0.05453556776046753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7671863436698914, dino_loss: 0.70703125, depth_loss: 0.09225578606128693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3763/10000 [8:45:54<20:27:56, 11.81s/it]
                                                         
{'loss': 2.2012, 'grad_norm': 1.7908806800842285, 'learning_rate': 3.680405324926553e-05, 'epoch': 0.03}

 38%|███▊      | 3763/10000 [8:45:54<20:27:56, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.871651291847229, dino_loss: 0.73046875, depth_loss: 0.06458611786365509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7531594634056091, dino_loss: 0.5859375, depth_loss: 0.059549205005168915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3764/10000 [8:46:06<20:16:07, 11.70s/it]
                                                         
{'loss': 1.5361, 'grad_norm': 2.8807101249694824, 'learning_rate': 3.679676483879749e-05, 'epoch': 0.03}

 38%|███▊      | 3764/10000 [8:46:06<20:16:07, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7782087326049805, dino_loss: 0.64453125, depth_loss: 0.06530874967575073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7867465019226074, dino_loss: 0.6328125, depth_loss: 0.06531408429145813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3765/10000 [8:46:18<20:19:09, 11.73s/it]
                                                         
{'loss': 1.9127, 'grad_norm': 3.1628971099853516, 'learning_rate': 3.678947513825299e-05, 'epoch': 0.03}

 38%|███▊      | 3765/10000 [8:46:18<20:19:09, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8528926968574524, dino_loss: 0.66796875, depth_loss: 0.08080113679170609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8252123594284058, dino_loss: 0.7578125, depth_loss: 0.0667862817645073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3766/10000 [8:46:29<20:08:40, 11.63s/it]
                                                         
{'loss': 2.0259, 'grad_norm': 2.5691585540771484, 'learning_rate': 3.678218414842922e-05, 'epoch': 0.03}

 38%|███▊      | 3766/10000 [8:46:29<20:08:40, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0113705396652222, dino_loss: 0.703125, depth_loss: 0.08056594431400299, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8507912158966064, dino_loss: 0.6796875, depth_loss: 0.0629081204533577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3767/10000 [8:46:41<20:30:41, 11.85s/it]
                                                         
{'loss': 2.5155, 'grad_norm': 3.158815860748291, 'learning_rate': 3.677489187012351e-05, 'epoch': 0.03}

 38%|███▊      | 3767/10000 [8:46:41<20:30:41, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8268948793411255, dino_loss: 0.64453125, depth_loss: 0.06436611711978912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8268990516662598, dino_loss: 0.68359375, depth_loss: 0.08273670822381973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3768/10000 [8:46:53<20:17:39, 11.72s/it]
                                                         
{'loss': 1.9755, 'grad_norm': 3.130234956741333, 'learning_rate': 3.6767598304133324e-05, 'epoch': 0.03}

 38%|███▊      | 3768/10000 [8:46:53<20:17:39, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7992033958435059, dino_loss: 0.65625, depth_loss: 0.047043830156326294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6967054605484009, dino_loss: 0.61328125, depth_loss: 0.061966389417648315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3769/10000 [8:47:05<20:29:00, 11.83s/it]
                                                         
{'loss': 1.8456, 'grad_norm': 1.8863455057144165, 'learning_rate': 3.676030345125627e-05, 'epoch': 0.03}

 38%|███▊      | 3769/10000 [8:47:05<20:29:00, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8780574202537537, dino_loss: 0.765625, depth_loss: 0.06392625719308853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8822705745697021, dino_loss: 0.72265625, depth_loss: 0.0681595653295517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3770/10000 [8:47:16<20:12:56, 11.68s/it]
                                                         
{'loss': 1.9925, 'grad_norm': 7.629554271697998, 'learning_rate': 3.675300731229012e-05, 'epoch': 0.03}

 38%|███▊      | 3770/10000 [8:47:16<20:12:56, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9391228556632996, dino_loss: 0.734375, depth_loss: 0.07523784786462784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0064008235931396, dino_loss: 0.69140625, depth_loss: 0.10025575757026672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3771/10000 [8:47:28<20:03:52, 11.60s/it]
                                                         
{'loss': 2.4921, 'grad_norm': 2.873331069946289, 'learning_rate': 3.6745709888032765e-05, 'epoch': 0.03}

 38%|███▊      | 3771/10000 [8:47:28<20:03:52, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8553235530853271, dino_loss: 0.76953125, depth_loss: 0.06786833703517914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7953400611877441, dino_loss: 0.6796875, depth_loss: 0.043953265994787216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3772/10000 [8:47:40<20:18:38, 11.74s/it]
                                                         
{'loss': 2.1694, 'grad_norm': 3.6439945697784424, 'learning_rate': 3.6738411179282225e-05, 'epoch': 0.03}

 38%|███▊      | 3772/10000 [8:47:40<20:18:38, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7382915616035461, dino_loss: 0.60546875, depth_loss: 0.06110983341932297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0358139276504517, dino_loss: 0.7109375, depth_loss: 0.06869067251682281, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3773/10000 [8:47:52<20:25:04, 11.80s/it]
                                                         
{'loss': 2.1458, 'grad_norm': 1.7181792259216309, 'learning_rate': 3.673111118683669e-05, 'epoch': 0.03}

 38%|███▊      | 3773/10000 [8:47:52<20:25:04, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.972550630569458, dino_loss: 0.71484375, depth_loss: 0.06887011229991913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8002222180366516, dino_loss: 0.68359375, depth_loss: 0.05760815739631653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3774/10000 [8:48:03<20:18:08, 11.74s/it]
                                                         
{'loss': 2.0758, 'grad_norm': 4.0575337409973145, 'learning_rate': 3.672380991149448e-05, 'epoch': 0.03}

 38%|███▊      | 3774/10000 [8:48:03<20:18:08, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9106414318084717, dino_loss: 0.6953125, depth_loss: 0.0531548447906971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0943527221679688, dino_loss: 0.70703125, depth_loss: 0.08201004564762115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3775/10000 [8:48:15<20:22:48, 11.79s/it]
                                                         
{'loss': 2.3559, 'grad_norm': 2.806065559387207, 'learning_rate': 3.671650735405404e-05, 'epoch': 0.03}

 38%|███▊      | 3775/10000 [8:48:15<20:22:48, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7719332575798035, dino_loss: 0.70703125, depth_loss: 0.06675330549478531, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9702126383781433, dino_loss: 0.68359375, depth_loss: 0.05693047493696213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3776/10000 [8:48:27<20:29:49, 11.86s/it]
                                                         
{'loss': 1.9812, 'grad_norm': 2.891570568084717, 'learning_rate': 3.6709203515313966e-05, 'epoch': 0.03}

 38%|███▊      | 3776/10000 [8:48:27<20:29:49, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8112316131591797, dino_loss: 0.67578125, depth_loss: 0.05093865096569061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.91761314868927, dino_loss: 0.71875, depth_loss: 0.0691189169883728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3777/10000 [8:48:38<20:10:06, 11.67s/it]
                                                         
{'loss': 2.3484, 'grad_norm': 2.4879541397094727, 'learning_rate': 3.670189839607301e-05, 'epoch': 0.03}

 38%|███▊      | 3777/10000 [8:48:38<20:10:06, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8478317260742188, dino_loss: 0.71484375, depth_loss: 0.05085022747516632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9358953237533569, dino_loss: 0.6875, depth_loss: 0.06553613394498825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3778/10000 [8:48:50<20:10:23, 11.67s/it]
                                                         
{'loss': 2.0366, 'grad_norm': 6.784309387207031, 'learning_rate': 3.6694591997130026e-05, 'epoch': 0.03}

 38%|███▊      | 3778/10000 [8:48:50<20:10:23, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9253199696540833, dino_loss: 0.71875, depth_loss: 0.08628091216087341, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8997493982315063, dino_loss: 0.70703125, depth_loss: 0.08067703247070312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3779/10000 [8:49:03<20:52:19, 12.08s/it]
                                                         
{'loss': 2.272, 'grad_norm': 5.451055526733398, 'learning_rate': 3.6687284319284055e-05, 'epoch': 0.03}

 38%|███▊      | 3779/10000 [8:49:03<20:52:19, 12.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9494631290435791, dino_loss: 0.73046875, depth_loss: 0.06093280389904976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8438996076583862, dino_loss: 0.703125, depth_loss: 0.06707970798015594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3780/10000 [8:49:15<20:48:47, 12.05s/it]
                                                         
{'loss': 2.3799, 'grad_norm': 3.346271276473999, 'learning_rate': 3.667997536333424e-05, 'epoch': 0.03}

 38%|███▊      | 3780/10000 [8:49:15<20:48:47, 12.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8615610003471375, dino_loss: 0.71484375, depth_loss: 0.07849644124507904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6839094161987305, dino_loss: 0.67578125, depth_loss: 0.07292603701353073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3781/10000 [8:49:27<20:35:40, 11.92s/it]
                                                         
{'loss': 1.9236, 'grad_norm': 12.501424789428711, 'learning_rate': 3.667266513007988e-05, 'epoch': 0.03}

 38%|███▊      | 3781/10000 [8:49:27<20:35:40, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7120718359947205, dino_loss: 0.671875, depth_loss: 0.06430171430110931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0665230751037598, dino_loss: 0.67578125, depth_loss: 0.05475569888949394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3782/10000 [8:49:38<20:04:20, 11.62s/it]
                                                         
{'loss': 1.6758, 'grad_norm': 2.8113973140716553, 'learning_rate': 3.666535362032041e-05, 'epoch': 0.03}

 38%|███▊      | 3782/10000 [8:49:38<20:04:20, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7776972055435181, dino_loss: 0.75, depth_loss: 0.06428873538970947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.846371054649353, dino_loss: 0.71484375, depth_loss: 0.05936200171709061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3783/10000 [8:49:49<20:05:31, 11.63s/it]
                                                         
{'loss': 2.4387, 'grad_norm': 2.711580991744995, 'learning_rate': 3.665804083485541e-05, 'epoch': 0.03}

 38%|███▊      | 3783/10000 [8:49:49<20:05:31, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8759008049964905, dino_loss: 0.7109375, depth_loss: 0.06932196021080017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.978544294834137, dino_loss: 0.734375, depth_loss: 0.06003114581108093, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3784/10000 [8:50:01<19:55:19, 11.54s/it]
                                                         
{'loss': 2.0164, 'grad_norm': 5.514557838439941, 'learning_rate': 3.665072677448459e-05, 'epoch': 0.03}

 38%|███▊      | 3784/10000 [8:50:01<19:55:19, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7771768569946289, dino_loss: 0.68359375, depth_loss: 0.05671360716223717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7863419651985168, dino_loss: 0.70703125, depth_loss: 0.048717595636844635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3785/10000 [8:50:13<20:11:35, 11.70s/it]
                                                         
{'loss': 2.2012, 'grad_norm': 3.560436487197876, 'learning_rate': 3.6643411440007804e-05, 'epoch': 0.03}

 38%|███▊      | 3785/10000 [8:50:13<20:11:35, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8260425925254822, dino_loss: 0.68359375, depth_loss: 0.059644825756549835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6922982335090637, dino_loss: 0.67578125, depth_loss: 0.0669393539428711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3786/10000 [8:50:24<20:01:25, 11.60s/it]
                                                         
{'loss': 2.0536, 'grad_norm': 3.474595069885254, 'learning_rate': 3.663609483222505e-05, 'epoch': 0.03}

 38%|███▊      | 3786/10000 [8:50:24<20:01:25, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9460654258728027, dino_loss: 0.73046875, depth_loss: 0.07610856741666794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.929729700088501, dino_loss: 0.6640625, depth_loss: 0.05407530069351196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3787/10000 [8:50:35<19:54:31, 11.54s/it]
                                                         
{'loss': 1.8253, 'grad_norm': 2.5318450927734375, 'learning_rate': 3.662877695193646e-05, 'epoch': 0.03}

 38%|███▊      | 3787/10000 [8:50:35<19:54:31, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8047178983688354, dino_loss: 0.65625, depth_loss: 0.06638624519109726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0414572954177856, dino_loss: 0.72265625, depth_loss: 0.059863436967134476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3788/10000 [8:50:47<19:54:59, 11.54s/it]
                                                         
{'loss': 2.2689, 'grad_norm': 5.580223560333252, 'learning_rate': 3.6621457799942304e-05, 'epoch': 0.03}

 38%|███▊      | 3788/10000 [8:50:47<19:54:59, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9612537622451782, dino_loss: 0.6953125, depth_loss: 0.06208144873380661, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7933939695358276, dino_loss: 0.69140625, depth_loss: 0.05625809356570244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3789/10000 [8:50:59<20:14:19, 11.73s/it]
                                                         
{'loss': 2.5064, 'grad_norm': 4.074001789093018, 'learning_rate': 3.6614137377043e-05, 'epoch': 0.03}

 38%|███▊      | 3789/10000 [8:50:59<20:14:19, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6330467462539673, dino_loss: 0.59375, depth_loss: 0.053233012557029724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9052006602287292, dino_loss: 0.71875, depth_loss: 0.05996514484286308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3790/10000 [8:51:11<20:28:21, 11.87s/it]
                                                         
{'loss': 2.109, 'grad_norm': 3.073441743850708, 'learning_rate': 3.66068156840391e-05, 'epoch': 0.03}

 38%|███▊      | 3790/10000 [8:51:11<20:28:21, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8270411491394043, dino_loss: 0.69921875, depth_loss: 0.06896977871656418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7889093160629272, dino_loss: 0.67578125, depth_loss: 0.04630670323967934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3791/10000 [8:51:24<20:44:27, 12.03s/it]
                                                         
{'loss': 2.1947, 'grad_norm': 2.411109209060669, 'learning_rate': 3.6599492721731274e-05, 'epoch': 0.03}

 38%|███▊      | 3791/10000 [8:51:24<20:44:27, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8627157211303711, dino_loss: 0.703125, depth_loss: 0.07283665984869003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.976041316986084, dino_loss: 0.66796875, depth_loss: 0.062205635011196136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3792/10000 [8:51:35<20:38:16, 11.97s/it]
                                                         
{'loss': 2.4994, 'grad_norm': 3.299988269805908, 'learning_rate': 3.6592168490920365e-05, 'epoch': 0.03}

 38%|███▊      | 3792/10000 [8:51:35<20:38:16, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7978618144989014, dino_loss: 0.62109375, depth_loss: 0.05564524233341217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8734920620918274, dino_loss: 0.6875, depth_loss: 0.06821145862340927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3793/10000 [8:51:47<20:17:41, 11.77s/it]
                                                         
{'loss': 2.0619, 'grad_norm': 1.9142554998397827, 'learning_rate': 3.6584842992407346e-05, 'epoch': 0.03}

 38%|███▊      | 3793/10000 [8:51:47<20:17:41, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.804938018321991, dino_loss: 0.6640625, depth_loss: 0.05747228115797043, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9965430498123169, dino_loss: 0.6875, depth_loss: 0.06093626469373703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3794/10000 [8:51:58<20:11:26, 11.71s/it]
                                                         
{'loss': 1.8979, 'grad_norm': 7.04536771774292, 'learning_rate': 3.657751622699331e-05, 'epoch': 0.03}

 38%|███▊      | 3794/10000 [8:51:58<20:11:26, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8361871242523193, dino_loss: 0.72265625, depth_loss: 0.08103083074092865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1033143997192383, dino_loss: 0.7109375, depth_loss: 0.07525576651096344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3795/10000 [8:52:10<19:55:56, 11.56s/it]
                                                         
{'loss': 2.3251, 'grad_norm': 2.0709383487701416, 'learning_rate': 3.65701881954795e-05, 'epoch': 0.03}

 38%|███▊      | 3795/10000 [8:52:10<19:55:56, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9165569543838501, dino_loss: 0.7109375, depth_loss: 0.05345571041107178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0329238176345825, dino_loss: 0.703125, depth_loss: 0.07922927290201187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3796/10000 [8:52:22<20:08:07, 11.68s/it]
                                                         
{'loss': 2.5721, 'grad_norm': 5.413897514343262, 'learning_rate': 3.656285889866732e-05, 'epoch': 0.03}

 38%|███▊      | 3796/10000 [8:52:22<20:08:07, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7718644738197327, dino_loss: 0.6796875, depth_loss: 0.053344398736953735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7783433794975281, dino_loss: 0.6875, depth_loss: 0.06125536561012268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3797/10000 [8:52:33<19:56:04, 11.57s/it]
                                                         
{'loss': 1.8333, 'grad_norm': 2.326537847518921, 'learning_rate': 3.6555528337358263e-05, 'epoch': 0.03}

 38%|███▊      | 3797/10000 [8:52:33<19:56:04, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0170347690582275, dino_loss: 0.6875, depth_loss: 0.0665823221206665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8562533259391785, dino_loss: 0.6640625, depth_loss: 0.053393732756376266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3798/10000 [8:52:44<19:43:12, 11.45s/it]
                                                         
{'loss': 2.1022, 'grad_norm': 3.3279459476470947, 'learning_rate': 3.654819651235401e-05, 'epoch': 0.03}

 38%|███▊      | 3798/10000 [8:52:44<19:43:12, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8923314213752747, dino_loss: 0.75, depth_loss: 0.04876746982336044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8619666695594788, dino_loss: 0.73828125, depth_loss: 0.05770283192396164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3799/10000 [8:52:57<20:17:52, 11.78s/it]
                                                         
{'loss': 2.3895, 'grad_norm': 5.607339382171631, 'learning_rate': 3.6540863424456334e-05, 'epoch': 0.03}

 38%|███▊      | 3799/10000 [8:52:57<20:17:52, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8955423831939697, dino_loss: 0.71484375, depth_loss: 0.045969247817993164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7832882404327393, dino_loss: 0.73046875, depth_loss: 0.06948056817054749, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3800/10000 [8:53:09<20:45:06, 12.05s/it]
                                                         
{'loss': 2.5505, 'grad_norm': 5.1472883224487305, 'learning_rate': 3.65335290744672e-05, 'epoch': 0.03}

 38%|███▊      | 3800/10000 [8:53:09<20:45:06, 12.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8706336617469788, dino_loss: 0.66796875, depth_loss: 0.06305105239152908, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9327195286750793, dino_loss: 0.671875, depth_loss: 0.07099687308073044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3801/10000 [8:53:21<20:28:20, 11.89s/it]
                                                         
{'loss': 2.3254, 'grad_norm': 2.7614004611968994, 'learning_rate': 3.6526193463188654e-05, 'epoch': 0.03}

 38%|███▊      | 3801/10000 [8:53:21<20:28:20, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.97096186876297, dino_loss: 0.7265625, depth_loss: 0.07255109399557114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9557409882545471, dino_loss: 0.7265625, depth_loss: 0.05662474036216736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3802/10000 [8:53:33<20:24:37, 11.86s/it]
                                                         
{'loss': 2.5753, 'grad_norm': 6.46312952041626, 'learning_rate': 3.6518856591422934e-05, 'epoch': 0.03}

 38%|███▊      | 3802/10000 [8:53:33<20:24:37, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.958772599697113, dino_loss: 0.71484375, depth_loss: 0.06516727805137634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.662467360496521, dino_loss: 0.6796875, depth_loss: 0.06628751009702682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3803/10000 [8:53:44<20:15:42, 11.77s/it]
                                                         
{'loss': 1.959, 'grad_norm': 2.9432220458984375, 'learning_rate': 3.6511518459972365e-05, 'epoch': 0.03}

 38%|███▊      | 3803/10000 [8:53:44<20:15:42, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9115654826164246, dino_loss: 0.71484375, depth_loss: 0.06963936239480972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9108202457427979, dino_loss: 0.703125, depth_loss: 0.07340486347675323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3804/10000 [8:53:57<20:50:30, 12.11s/it]
                                                         
{'loss': 2.6479, 'grad_norm': 3.0341222286224365, 'learning_rate': 3.650417906963945e-05, 'epoch': 0.03}

 38%|███▊      | 3804/10000 [8:53:57<20:50:30, 12.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8360721468925476, dino_loss: 0.60546875, depth_loss: 0.054027408361434937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.848260223865509, dino_loss: 0.72265625, depth_loss: 0.059199824929237366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3805/10000 [8:54:09<21:00:46, 12.21s/it]
                                                         
{'loss': 2.3322, 'grad_norm': 3.7878615856170654, 'learning_rate': 3.649683842122681e-05, 'epoch': 0.03}

 38%|███▊      | 3805/10000 [8:54:09<21:00:46, 12.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8312278389930725, dino_loss: 0.6875, depth_loss: 0.06473244726657867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8160463571548462, dino_loss: 0.73828125, depth_loss: 0.06130388379096985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3806/10000 [8:54:21<20:29:53, 11.91s/it]
                                                         
{'loss': 2.1482, 'grad_norm': 1.8143879175186157, 'learning_rate': 3.6489496515537204e-05, 'epoch': 0.03}

 38%|███▊      | 3806/10000 [8:54:21<20:29:53, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7224529981613159, dino_loss: 0.66796875, depth_loss: 0.0474712997674942, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8963006734848022, dino_loss: 0.7578125, depth_loss: 0.05447527766227722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3807/10000 [8:54:33<20:42:09, 12.03s/it]
                                                         
{'loss': 2.3916, 'grad_norm': 1.7759525775909424, 'learning_rate': 3.6482153353373525e-05, 'epoch': 0.03}

 38%|███▊      | 3807/10000 [8:54:33<20:42:09, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9856472015380859, dino_loss: 0.671875, depth_loss: 0.06913871318101883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6570344567298889, dino_loss: 0.70703125, depth_loss: 0.06888086348772049, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3808/10000 [8:54:45<20:29:30, 11.91s/it]
                                                         
{'loss': 1.814, 'grad_norm': 4.064060211181641, 'learning_rate': 3.647480893553883e-05, 'epoch': 0.03}

 38%|███▊      | 3808/10000 [8:54:45<20:29:30, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7865965366363525, dino_loss: 0.63671875, depth_loss: 0.08639252185821533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8176772594451904, dino_loss: 0.62109375, depth_loss: 0.05625375360250473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3809/10000 [8:54:56<20:25:48, 11.88s/it]
                                                         
{'loss': 1.8232, 'grad_norm': 6.947946071624756, 'learning_rate': 3.646746326283628e-05, 'epoch': 0.03}

 38%|███▊      | 3809/10000 [8:54:56<20:25:48, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7947806119918823, dino_loss: 0.66796875, depth_loss: 0.05891600623726845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0844292640686035, dino_loss: 0.70703125, depth_loss: 0.08306877315044403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3810/10000 [8:55:08<20:21:08, 11.84s/it]
                                                         
{'loss': 2.35, 'grad_norm': 4.8707098960876465, 'learning_rate': 3.6460116336069176e-05, 'epoch': 0.03}

 38%|███▊      | 3810/10000 [8:55:08<20:21:08, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7337337732315063, dino_loss: 0.66015625, depth_loss: 0.05401649326086044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8605042695999146, dino_loss: 0.671875, depth_loss: 0.07126238942146301, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3811/10000 [8:55:20<20:13:18, 11.76s/it]
                                                         
{'loss': 1.7577, 'grad_norm': 3.5949907302856445, 'learning_rate': 3.645276815604099e-05, 'epoch': 0.03}

 38%|███▊      | 3811/10000 [8:55:20<20:13:18, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8636921644210815, dino_loss: 0.69921875, depth_loss: 0.05520681291818619, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.7985703349113464, dino_loss: 0.71484375, depth_loss: 0.05591791495680809, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3812/10000 [8:55:32<20:20:48, 11.84s/it]
                                                         
{'loss': 2.1384, 'grad_norm': 11.954021453857422, 'learning_rate': 3.64454187235553e-05, 'epoch': 0.03}

 38%|███▊      | 3812/10000 [8:55:32<20:20:48, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.125793695449829, dino_loss: 0.6171875, depth_loss: 0.05398618057370186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8511266112327576, dino_loss: 0.62890625, depth_loss: 0.05518657714128494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3813/10000 [8:55:44<20:27:45, 11.91s/it]
                                                         
{'loss': 1.9824, 'grad_norm': 4.145819664001465, 'learning_rate': 3.6438068039415816e-05, 'epoch': 0.03}

 38%|███▊      | 3813/10000 [8:55:44<20:27:45, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8922078609466553, dino_loss: 0.72265625, depth_loss: 0.06848879903554916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7423622012138367, dino_loss: 0.72265625, depth_loss: 0.053386956453323364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3814/10000 [8:55:55<20:10:27, 11.74s/it]
                                                         
{'loss': 2.4618, 'grad_norm': 6.173203945159912, 'learning_rate': 3.6430716104426423e-05, 'epoch': 0.03}

 38%|███▊      | 3814/10000 [8:55:55<20:10:27, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7591261863708496, dino_loss: 0.68359375, depth_loss: 0.06949948519468307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8255319595336914, dino_loss: 0.6953125, depth_loss: 0.06433211266994476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3815/10000 [8:56:07<20:03:15, 11.67s/it]
                                                         
{'loss': 1.7256, 'grad_norm': 3.5624828338623047, 'learning_rate': 3.642336291939109e-05, 'epoch': 0.03}

 38%|███▊      | 3815/10000 [8:56:07<20:03:15, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7754307985305786, dino_loss: 0.69140625, depth_loss: 0.058696262538433075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9828366637229919, dino_loss: 0.68359375, depth_loss: 0.05728061497211456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3816/10000 [8:56:18<20:01:22, 11.66s/it]
                                                         
{'loss': 2.2138, 'grad_norm': 3.6224262714385986, 'learning_rate': 3.641600848511397e-05, 'epoch': 0.03}

 38%|███▊      | 3816/10000 [8:56:18<20:01:22, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7178220748901367, dino_loss: 0.671875, depth_loss: 0.05713670700788498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8967003226280212, dino_loss: 0.70703125, depth_loss: 0.07326166331768036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3817/10000 [8:56:30<20:03:24, 11.68s/it]
                                                         
{'loss': 2.0034, 'grad_norm': 2.1945388317108154, 'learning_rate': 3.640865280239932e-05, 'epoch': 0.03}

 38%|███▊      | 3817/10000 [8:56:30<20:03:24, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8997973799705505, dino_loss: 0.70703125, depth_loss: 0.058428823947906494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8056398630142212, dino_loss: 0.6484375, depth_loss: 0.06772199273109436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3818/10000 [8:56:42<20:14:48, 11.79s/it]
                                                         
{'loss': 2.4626, 'grad_norm': 2.216357946395874, 'learning_rate': 3.640129587205156e-05, 'epoch': 0.03}

 38%|███▊      | 3818/10000 [8:56:42<20:14:48, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7762143611907959, dino_loss: 0.66015625, depth_loss: 0.06389044225215912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8768236637115479, dino_loss: 0.6953125, depth_loss: 0.05210046470165253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3819/10000 [8:56:53<19:57:14, 11.62s/it]
                                                         
{'loss': 1.7439, 'grad_norm': 2.1459851264953613, 'learning_rate': 3.639393769487521e-05, 'epoch': 0.03}

 38%|███▊      | 3819/10000 [8:56:53<19:57:14, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8894728422164917, dino_loss: 0.71875, depth_loss: 0.07340370118618011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8109413981437683, dino_loss: 0.7265625, depth_loss: 0.08338219672441483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3820/10000 [8:57:04<19:40:51, 11.46s/it]
                                                         
{'loss': 2.1778, 'grad_norm': 2.583003520965576, 'learning_rate': 3.6386578271674984e-05, 'epoch': 0.03}

 38%|███▊      | 3820/10000 [8:57:04<19:40:51, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9363646507263184, dino_loss: 0.73046875, depth_loss: 0.057603396475315094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8630267381668091, dino_loss: 0.6875, depth_loss: 0.06061066687107086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3821/10000 [8:57:17<20:02:40, 11.68s/it]
                                                         
{'loss': 2.394, 'grad_norm': 2.4784131050109863, 'learning_rate': 3.6379217603255664e-05, 'epoch': 0.03}

 38%|███▊      | 3821/10000 [8:57:17<20:02:40, 11.68s/it]the number of masks: 2
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7132641077041626, dino_loss: 0.68359375, depth_loss: 0.06421901285648346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.884782612323761, dino_loss: 0.6953125, depth_loss: 0.06784860789775848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3822/10000 [8:57:28<19:56:34, 11.62s/it]
                                                         
{'loss': 2.5035, 'grad_norm': 4.9889326095581055, 'learning_rate': 3.637185569042222e-05, 'epoch': 0.03}

 38%|███▊      | 3822/10000 [8:57:28<19:56:34, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7348443865776062, dino_loss: 0.6640625, depth_loss: 0.05621611326932907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0332118272781372, dino_loss: 0.72265625, depth_loss: 0.06779767572879791, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3823/10000 [8:57:39<19:49:37, 11.56s/it]
                                                         
{'loss': 2.0959, 'grad_norm': 3.640698194503784, 'learning_rate': 3.636449253397974e-05, 'epoch': 0.03}

 38%|███▊      | 3823/10000 [8:57:39<19:49:37, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7099043726921082, dino_loss: 0.65625, depth_loss: 0.05744500458240509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7426398992538452, dino_loss: 0.62890625, depth_loss: 0.054105326533317566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3824/10000 [8:57:52<20:15:55, 11.81s/it]
                                                         
{'loss': 2.4779, 'grad_norm': 2.0460736751556396, 'learning_rate': 3.635712813473343e-05, 'epoch': 0.03}

 38%|███▊      | 3824/10000 [8:57:52<20:15:55, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.790778398513794, dino_loss: 0.69921875, depth_loss: 0.069754958152771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9274216890335083, dino_loss: 0.70703125, depth_loss: 0.06199730932712555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3825/10000 [8:58:03<20:08:39, 11.74s/it]
                                                         
{'loss': 2.0807, 'grad_norm': 2.598148822784424, 'learning_rate': 3.634976249348867e-05, 'epoch': 0.03}

 38%|███▊      | 3825/10000 [8:58:03<20:08:39, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9934038519859314, dino_loss: 0.734375, depth_loss: 0.05442952364683151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8177586793899536, dino_loss: 0.6484375, depth_loss: 0.056393783539533615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3826/10000 [8:58:15<20:05:10, 11.71s/it]
                                                         
{'loss': 2.0125, 'grad_norm': 2.5802152156829834, 'learning_rate': 3.634239561105095e-05, 'epoch': 0.03}

 38%|███▊      | 3826/10000 [8:58:15<20:05:10, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8818796873092651, dino_loss: 0.6640625, depth_loss: 0.059524670243263245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9304344654083252, dino_loss: 0.67578125, depth_loss: 0.05784507095813751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3827/10000 [8:58:27<20:20:00, 11.86s/it]
                                                         
{'loss': 2.81, 'grad_norm': 1.317373275756836, 'learning_rate': 3.633502748822589e-05, 'epoch': 0.03}

 38%|███▊      | 3827/10000 [8:58:27<20:20:00, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.822947084903717, dino_loss: 0.71484375, depth_loss: 0.06763140112161636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9956582188606262, dino_loss: 0.7265625, depth_loss: 0.06165255233645439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3828/10000 [8:58:39<20:11:00, 11.77s/it]
                                                         
{'loss': 1.9425, 'grad_norm': 1.807120680809021, 'learning_rate': 3.632765812581928e-05, 'epoch': 0.03}

 38%|███▊      | 3828/10000 [8:58:39<20:11:00, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8174543380737305, dino_loss: 0.73828125, depth_loss: 0.06404159218072891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7622430324554443, dino_loss: 0.6484375, depth_loss: 0.042986396700143814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3829/10000 [8:58:51<20:19:41, 11.86s/it]
                                                         
{'loss': 2.2002, 'grad_norm': 4.807393550872803, 'learning_rate': 3.6320287524637e-05, 'epoch': 0.03}

 38%|███▊      | 3829/10000 [8:58:51<20:19:41, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9097249507904053, dino_loss: 0.69921875, depth_loss: 0.06137263774871826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7932580709457397, dino_loss: 0.69921875, depth_loss: 0.06325139105319977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3830/10000 [8:59:02<19:57:20, 11.64s/it]
                                                         
{'loss': 1.9265, 'grad_norm': 2.480717182159424, 'learning_rate': 3.631291568548509e-05, 'epoch': 0.03}

 38%|███▊      | 3830/10000 [8:59:02<19:57:20, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7349898815155029, dino_loss: 0.6953125, depth_loss: 0.0646614134311676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.8170238733291626, dino_loss: 0.72265625, depth_loss: 0.06491412222385406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3831/10000 [8:59:14<19:52:05, 11.59s/it]
                                                         
{'loss': 1.9154, 'grad_norm': 4.569138526916504, 'learning_rate': 3.630554260916974e-05, 'epoch': 0.03}

 38%|███▊      | 3831/10000 [8:59:14<19:52:05, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7800645232200623, dino_loss: 0.7734375, depth_loss: 0.07210417836904526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9294164776802063, dino_loss: 0.6796875, depth_loss: 0.06229827180504799, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3832/10000 [8:59:25<19:47:54, 11.56s/it]
                                                         
{'loss': 2.0224, 'grad_norm': 3.439639091491699, 'learning_rate': 3.6298168296497246e-05, 'epoch': 0.03}

 38%|███▊      | 3832/10000 [8:59:25<19:47:54, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8146187663078308, dino_loss: 0.7265625, depth_loss: 0.0595974326133728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9266874194145203, dino_loss: 0.7265625, depth_loss: 0.06410995870828629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3833/10000 [8:59:36<19:27:59, 11.36s/it]
                                                         
{'loss': 1.8521, 'grad_norm': 3.0423028469085693, 'learning_rate': 3.629079274827405e-05, 'epoch': 0.03}

 38%|███▊      | 3833/10000 [8:59:36<19:27:59, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0365291833877563, dino_loss: 0.66796875, depth_loss: 0.06582888215780258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8814385533332825, dino_loss: 0.765625, depth_loss: 0.056616902351379395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3834/10000 [8:59:48<19:38:17, 11.47s/it]
                                                         
{'loss': 2.4816, 'grad_norm': 2.835123062133789, 'learning_rate': 3.628341596530674e-05, 'epoch': 0.03}

 38%|███▊      | 3834/10000 [8:59:48<19:38:17, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8582878112792969, dino_loss: 0.70703125, depth_loss: 0.06970132142305374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8136374950408936, dino_loss: 0.6484375, depth_loss: 0.05948488786816597, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3835/10000 [8:59:59<19:46:07, 11.54s/it]
                                                         
{'loss': 2.1884, 'grad_norm': 2.495570421218872, 'learning_rate': 3.627603794840201e-05, 'epoch': 0.03}

 38%|███▊      | 3835/10000 [8:59:59<19:46:07, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7374507188796997, dino_loss: 0.6875, depth_loss: 0.06551139056682587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9146082401275635, dino_loss: 0.73046875, depth_loss: 0.06029215827584267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3836/10000 [9:00:11<19:49:18, 11.58s/it]
                                                         
{'loss': 2.2459, 'grad_norm': 1.7896461486816406, 'learning_rate': 3.6268658698366745e-05, 'epoch': 0.03}

 38%|███▊      | 3836/10000 [9:00:11<19:49:18, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8436247706413269, dino_loss: 0.72265625, depth_loss: 0.060620952397584915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7784416675567627, dino_loss: 0.63671875, depth_loss: 0.04365356266498566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3837/10000 [9:00:22<19:44:03, 11.53s/it]
                                                         
{'loss': 2.0319, 'grad_norm': 2.746428966522217, 'learning_rate': 3.6261278216007894e-05, 'epoch': 0.03}

 38%|███▊      | 3837/10000 [9:00:22<19:44:03, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9446779489517212, dino_loss: 0.65625, depth_loss: 0.05875856429338455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.840097188949585, dino_loss: 0.58984375, depth_loss: 0.03821088373661041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3838/10000 [9:00:34<19:31:34, 11.41s/it]
                                                         
{'loss': 1.7111, 'grad_norm': 1.948797583580017, 'learning_rate': 3.625389650213259e-05, 'epoch': 0.03}

 38%|███▊      | 3838/10000 [9:00:34<19:31:34, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9907705187797546, dino_loss: 0.70703125, depth_loss: 0.06722915172576904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7439366579055786, dino_loss: 0.69140625, depth_loss: 0.04771146550774574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3839/10000 [9:00:45<19:30:48, 11.40s/it]
                                                         
{'loss': 2.0592, 'grad_norm': 3.0418860912323, 'learning_rate': 3.624651355754808e-05, 'epoch': 0.03}

 38%|███▊      | 3839/10000 [9:00:45<19:30:48, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8958925008773804, dino_loss: 0.63671875, depth_loss: 0.08930350095033646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.917192816734314, dino_loss: 0.72265625, depth_loss: 0.06133456900715828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3840/10000 [9:00:57<19:50:11, 11.59s/it]
                                                         
{'loss': 1.8601, 'grad_norm': 2.7092819213867188, 'learning_rate': 3.623912938306176e-05, 'epoch': 0.03}

 38%|███▊      | 3840/10000 [9:00:57<19:50:11, 11.59s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8393951654434204, dino_loss: 0.69921875, depth_loss: 0.05289887636899948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0009706020355225, dino_loss: 0.7265625, depth_loss: 0.057379692792892456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3841/10000 [9:01:09<19:55:20, 11.64s/it]
                                                         
{'loss': 2.3795, 'grad_norm': 2.441526174545288, 'learning_rate': 3.6231743979481157e-05, 'epoch': 0.03}

 38%|███▊      | 3841/10000 [9:01:09<19:55:20, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8003042340278625, dino_loss: 0.6484375, depth_loss: 0.06970415264368057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8576257824897766, dino_loss: 0.67578125, depth_loss: 0.08843345940113068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3842/10000 [9:01:20<19:52:12, 11.62s/it]
                                                         
{'loss': 1.9835, 'grad_norm': 3.025935649871826, 'learning_rate': 3.6224357347613906e-05, 'epoch': 0.03}

 38%|███▊      | 3842/10000 [9:01:20<19:52:12, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8226540684700012, dino_loss: 0.75390625, depth_loss: 0.059064436703920364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8804391026496887, dino_loss: 0.65234375, depth_loss: 0.054977089166641235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3843/10000 [9:01:32<19:57:38, 11.67s/it]
                                                         
{'loss': 2.3127, 'grad_norm': 15.579273223876953, 'learning_rate': 3.6216969488267823e-05, 'epoch': 0.03}

 38%|███▊      | 3843/10000 [9:01:32<19:57:38, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5887719392776489, dino_loss: 0.6328125, depth_loss: 0.042931266129016876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8259708285331726, dino_loss: 0.71484375, depth_loss: 0.06064527854323387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3844/10000 [9:01:44<20:11:53, 11.81s/it]
                                                         
{'loss': 1.9496, 'grad_norm': 3.2801480293273926, 'learning_rate': 3.6209580402250815e-05, 'epoch': 0.03}

 38%|███▊      | 3844/10000 [9:01:44<20:11:53, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9061383008956909, dino_loss: 0.68359375, depth_loss: 0.058156151324510574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8279050588607788, dino_loss: 0.6953125, depth_loss: 0.057405561208724976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3845/10000 [9:01:55<19:47:34, 11.58s/it]
                                                         
{'loss': 1.866, 'grad_norm': 2.852294683456421, 'learning_rate': 3.6202190090370944e-05, 'epoch': 0.03}

 38%|███▊      | 3845/10000 [9:01:55<19:47:34, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7514306902885437, dino_loss: 0.69140625, depth_loss: 0.05177568644285202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9378615617752075, dino_loss: 0.7109375, depth_loss: 0.07643844932317734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3846/10000 [9:02:07<20:01:22, 11.71s/it]
                                                         
{'loss': 2.2562, 'grad_norm': 2.8214070796966553, 'learning_rate': 3.619479855343641e-05, 'epoch': 0.03}

 38%|███▊      | 3846/10000 [9:02:07<20:01:22, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9629740715026855, dino_loss: 0.70703125, depth_loss: 0.05659687519073486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9349964261054993, dino_loss: 0.71484375, depth_loss: 0.08073005825281143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3847/10000 [9:02:19<20:03:25, 11.73s/it]
                                                         
{'loss': 1.9805, 'grad_norm': 2.9362287521362305, 'learning_rate': 3.6187405792255535e-05, 'epoch': 0.03}

 38%|███▊      | 3847/10000 [9:02:19<20:03:25, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.856830358505249, dino_loss: 0.68359375, depth_loss: 0.05050990357995033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8878130912780762, dino_loss: 0.671875, depth_loss: 0.07024510204792023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3848/10000 [9:02:31<19:58:47, 11.69s/it]
                                                         
{'loss': 2.1122, 'grad_norm': 6.36142635345459, 'learning_rate': 3.618001180763678e-05, 'epoch': 0.03}

 38%|███▊      | 3848/10000 [9:02:31<19:58:47, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 1
seg_loss: 0.8813314437866211, dino_loss: 0.6796875, depth_loss: 0.054483070969581604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9231269359588623, dino_loss: 0.703125, depth_loss: 0.0712796151638031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3849/10000 [9:02:43<20:16:34, 11.87s/it]
                                                         
{'loss': 2.4752, 'grad_norm': 3.515355348587036, 'learning_rate': 3.617261660038875e-05, 'epoch': 0.03}

 38%|███▊      | 3849/10000 [9:02:43<20:16:34, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8972154855728149, dino_loss: 0.6875, depth_loss: 0.05687800794839859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8389635682106018, dino_loss: 0.62890625, depth_loss: 0.057004909962415695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 38%|███▊      | 3850/10000 [9:02:54<20:01:43, 11.72s/it]
                                                         
{'loss': 2.0586, 'grad_norm': 2.175198554992676, 'learning_rate': 3.616522017132017e-05, 'epoch': 0.03}

 38%|███▊      | 3850/10000 [9:02:54<20:01:43, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.902045488357544, dino_loss: 0.74609375, depth_loss: 0.06632585823535919, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9351239204406738, dino_loss: 0.66796875, depth_loss: 0.05117030814290047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3851/10000 [9:03:06<19:52:34, 11.64s/it]
                                                         
{'loss': 2.2008, 'grad_norm': 2.2735595703125, 'learning_rate': 3.6157822521239886e-05, 'epoch': 0.03}

 39%|███▊      | 3851/10000 [9:03:06<19:52:34, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8214632272720337, dino_loss: 0.7265625, depth_loss: 0.05654844269156456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8736388087272644, dino_loss: 0.6953125, depth_loss: 0.05560804158449173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3852/10000 [9:03:17<19:52:22, 11.64s/it]
                                                         
{'loss': 2.1818, 'grad_norm': 2.5579919815063477, 'learning_rate': 3.615042365095692e-05, 'epoch': 0.03}

 39%|███▊      | 3852/10000 [9:03:17<19:52:22, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.992755115032196, dino_loss: 0.75, depth_loss: 0.06522534042596817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.954827606678009, dino_loss: 0.68359375, depth_loss: 0.07204990088939667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3853/10000 [9:03:29<19:54:26, 11.66s/it]
                                                         
{'loss': 2.5239, 'grad_norm': 2.9238128662109375, 'learning_rate': 3.614302356128038e-05, 'epoch': 0.03}

 39%|███▊      | 3853/10000 [9:03:29<19:54:26, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8272881507873535, dino_loss: 0.671875, depth_loss: 0.06133377179503441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0059118270874023, dino_loss: 0.72265625, depth_loss: 0.0684128999710083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3854/10000 [9:03:40<19:32:52, 11.45s/it]
                                                         
{'loss': 2.2869, 'grad_norm': 3.1356639862060547, 'learning_rate': 3.613562225301953e-05, 'epoch': 0.03}

 39%|███▊      | 3854/10000 [9:03:40<19:32:52, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592554926872253, dino_loss: 0.6875, depth_loss: 0.0822485089302063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6991811990737915, dino_loss: 0.66796875, depth_loss: 0.05221998691558838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3855/10000 [9:03:52<19:35:44, 11.48s/it]
                                                         
{'loss': 2.1665, 'grad_norm': 4.156601905822754, 'learning_rate': 3.6128219726983784e-05, 'epoch': 0.03}

 39%|███▊      | 3855/10000 [9:03:52<19:35:44, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8670022487640381, dino_loss: 0.671875, depth_loss: 0.07462619245052338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8107011914253235, dino_loss: 0.6796875, depth_loss: 0.052320897579193115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3856/10000 [9:04:03<19:44:11, 11.56s/it]
                                                         
{'loss': 2.1057, 'grad_norm': 1.8716399669647217, 'learning_rate': 3.612081598398266e-05, 'epoch': 0.03}

 39%|███▊      | 3856/10000 [9:04:03<19:44:11, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8179194331169128, dino_loss: 0.66015625, depth_loss: 0.06906209886074066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8087876439094543, dino_loss: 0.69140625, depth_loss: 0.06364071369171143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3857/10000 [9:04:15<19:29:31, 11.42s/it]
                                                         
{'loss': 2.0435, 'grad_norm': 2.5439705848693848, 'learning_rate': 3.611341102482581e-05, 'epoch': 0.03}

 39%|███▊      | 3857/10000 [9:04:15<19:29:31, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8588688373565674, dino_loss: 0.75, depth_loss: 0.05950451269745827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9491668343544006, dino_loss: 0.77734375, depth_loss: 0.09824259579181671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3858/10000 [9:04:26<19:26:38, 11.40s/it]
                                                         
{'loss': 2.4499, 'grad_norm': 1.9671931266784668, 'learning_rate': 3.610600485032305e-05, 'epoch': 0.03}

 39%|███▊      | 3858/10000 [9:04:26<19:26:38, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7512722015380859, dino_loss: 0.65625, depth_loss: 0.051505912095308304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7670164108276367, dino_loss: 0.58984375, depth_loss: 0.05432234704494476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3859/10000 [9:04:38<19:39:34, 11.52s/it]
                                                         
{'loss': 2.0036, 'grad_norm': 2.3738818168640137, 'learning_rate': 3.609859746128429e-05, 'epoch': 0.03}

 39%|███▊      | 3859/10000 [9:04:38<19:39:34, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9018682837486267, dino_loss: 0.73046875, depth_loss: 0.06977273523807526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8059630393981934, dino_loss: 0.75, depth_loss: 0.06250644475221634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3860/10000 [9:04:49<19:39:31, 11.53s/it]
                                                         
{'loss': 2.2938, 'grad_norm': 1.9289137125015259, 'learning_rate': 3.6091188858519607e-05, 'epoch': 0.03}

 39%|███▊      | 3860/10000 [9:04:49<19:39:31, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9196174144744873, dino_loss: 0.69140625, depth_loss: 0.06828543543815613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9365178346633911, dino_loss: 0.7421875, depth_loss: 0.0589994378387928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3861/10000 [9:05:01<19:38:19, 11.52s/it]
                                                         
{'loss': 2.2735, 'grad_norm': 3.410656452178955, 'learning_rate': 3.608377904283917e-05, 'epoch': 0.03}

 39%|███▊      | 3861/10000 [9:05:01<19:38:19, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9316474795341492, dino_loss: 0.671875, depth_loss: 0.06070849299430847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8069908618927002, dino_loss: 0.64453125, depth_loss: 0.05134963244199753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3862/10000 [9:05:12<19:32:49, 11.46s/it]
                                                         
{'loss': 1.9816, 'grad_norm': 3.7333545684814453, 'learning_rate': 3.607636801505334e-05, 'epoch': 0.03}

 39%|███▊      | 3862/10000 [9:05:12<19:32:49, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0226203203201294, dino_loss: 0.71875, depth_loss: 0.06196857616305351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9119935035705566, dino_loss: 0.69140625, depth_loss: 0.06007583439350128, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3863/10000 [9:05:23<19:18:30, 11.33s/it]
                                                         
{'loss': 2.1938, 'grad_norm': 2.7335762977600098, 'learning_rate': 3.606895577597255e-05, 'epoch': 0.03}

 39%|███▊      | 3863/10000 [9:05:23<19:18:30, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8713945150375366, dino_loss: 0.70703125, depth_loss: 0.06772197782993317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8469383716583252, dino_loss: 0.69140625, depth_loss: 0.06341998279094696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3864/10000 [9:05:35<19:35:16, 11.49s/it]
                                                         
{'loss': 2.1209, 'grad_norm': 2.4549591541290283, 'learning_rate': 3.606154232640738e-05, 'epoch': 0.03}

 39%|███▊      | 3864/10000 [9:05:35<19:35:16, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8419704437255859, dino_loss: 0.66015625, depth_loss: 0.056771229952573776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7811073064804077, dino_loss: 0.734375, depth_loss: 0.06529601663351059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3865/10000 [9:05:47<19:41:12, 11.55s/it]
                                                         
{'loss': 2.2777, 'grad_norm': 2.6684980392456055, 'learning_rate': 3.6054127667168596e-05, 'epoch': 0.03}

 39%|███▊      | 3865/10000 [9:05:47<19:41:12, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7909688353538513, dino_loss: 0.6953125, depth_loss: 0.06045471504330635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0258452892303467, dino_loss: 0.68359375, depth_loss: 0.0808202475309372, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3866/10000 [9:05:58<19:29:21, 11.44s/it]
                                                         
{'loss': 1.8238, 'grad_norm': 2.7620296478271484, 'learning_rate': 3.604671179906702e-05, 'epoch': 0.03}

 39%|███▊      | 3866/10000 [9:05:58<19:29:21, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8466574549674988, dino_loss: 0.67578125, depth_loss: 0.055427633225917816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8886178135871887, dino_loss: 0.703125, depth_loss: 0.08688199520111084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3867/10000 [9:06:10<19:52:51, 11.67s/it]
                                                         
{'loss': 2.6535, 'grad_norm': 2.209397554397583, 'learning_rate': 3.6039294722913655e-05, 'epoch': 0.03}

 39%|███▊      | 3867/10000 [9:06:10<19:52:51, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8204308748245239, dino_loss: 0.73046875, depth_loss: 0.06711519509553909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8553237318992615, dino_loss: 0.671875, depth_loss: 0.05492524802684784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3868/10000 [9:06:21<19:38:54, 11.54s/it]
                                                         
{'loss': 2.0861, 'grad_norm': 5.613131999969482, 'learning_rate': 3.603187643951961e-05, 'epoch': 0.03}

 39%|███▊      | 3868/10000 [9:06:21<19:38:54, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6601831912994385, dino_loss: 0.61328125, depth_loss: 0.05385725572705269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.899891197681427, dino_loss: 0.7265625, depth_loss: 0.06830017268657684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3869/10000 [9:06:34<20:13:56, 11.88s/it]
                                                         
{'loss': 2.2884, 'grad_norm': 1.999150276184082, 'learning_rate': 3.602445694969615e-05, 'epoch': 0.03}

 39%|███▊      | 3869/10000 [9:06:34<20:13:56, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8944567441940308, dino_loss: 0.61328125, depth_loss: 0.06291566789150238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0501458644866943, dino_loss: 0.7265625, depth_loss: 0.06605713069438934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3870/10000 [9:06:45<20:00:35, 11.75s/it]
                                                         
{'loss': 2.0329, 'grad_norm': 2.4583771228790283, 'learning_rate': 3.601703625425464e-05, 'epoch': 0.03}

 39%|███▊      | 3870/10000 [9:06:45<20:00:35, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9819654822349548, dino_loss: 0.66796875, depth_loss: 0.04963831230998039, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8821724653244019, dino_loss: 0.69921875, depth_loss: 0.07410811632871628, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3871/10000 [9:06:56<19:37:01, 11.52s/it]
                                                         
{'loss': 2.0387, 'grad_norm': 3.088191032409668, 'learning_rate': 3.6009614354006626e-05, 'epoch': 0.03}

 39%|███▊      | 3871/10000 [9:06:56<19:37:01, 11.52s/it]the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.711570143699646, dino_loss: 0.73046875, depth_loss: 0.0752931460738182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7897919416427612, dino_loss: 0.67578125, depth_loss: 0.0644478127360344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3872/10000 [9:07:08<19:31:33, 11.47s/it]
                                                         
{'loss': 1.9234, 'grad_norm': 2.5702569484710693, 'learning_rate': 3.6002191249763725e-05, 'epoch': 0.03}

 39%|███▊      | 3872/10000 [9:07:08<19:31:33, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.837918758392334, dino_loss: 0.703125, depth_loss: 0.07382410019636154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.925428032875061, dino_loss: 0.68359375, depth_loss: 0.0492430180311203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3873/10000 [9:07:19<19:35:50, 11.51s/it]
                                                         
{'loss': 2.0518, 'grad_norm': 5.414108753204346, 'learning_rate': 3.5994766942337744e-05, 'epoch': 0.03}

 39%|███▊      | 3873/10000 [9:07:19<19:35:50, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.913175106048584, dino_loss: 0.69140625, depth_loss: 0.05432262644171715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7115185856819153, dino_loss: 0.70703125, depth_loss: 0.061912208795547485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▊      | 3874/10000 [9:07:31<19:38:03, 11.54s/it]
                                                         
{'loss': 2.4056, 'grad_norm': 2.028872489929199, 'learning_rate': 3.5987341432540565e-05, 'epoch': 0.03}

 39%|███▊      | 3874/10000 [9:07:31<19:38:03, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8952807188034058, dino_loss: 0.6875, depth_loss: 0.06676320731639862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8630674481391907, dino_loss: 0.73046875, depth_loss: 0.051760949194431305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3875/10000 [9:07:43<20:07:09, 11.83s/it]
                                                         
{'loss': 2.4546, 'grad_norm': 2.091247081756592, 'learning_rate': 3.597991472118426e-05, 'epoch': 0.03}

 39%|███▉      | 3875/10000 [9:07:43<20:07:09, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.8211490511894226, dino_loss: 0.7109375, depth_loss: 0.06571915745735168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.788939356803894, dino_loss: 0.66796875, depth_loss: 0.06391245871782303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3876/10000 [9:07:55<20:00:26, 11.76s/it]
                                                         
{'loss': 2.3472, 'grad_norm': 2.84273624420166, 'learning_rate': 3.597248680908098e-05, 'epoch': 0.03}

 39%|███▉      | 3876/10000 [9:07:55<20:00:26, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.020567536354065, dino_loss: 0.7578125, depth_loss: 0.07738479226827621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9515283107757568, dino_loss: 0.73046875, depth_loss: 0.060917116701602936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3877/10000 [9:08:07<19:54:13, 11.70s/it]
                                                         
{'loss': 2.4035, 'grad_norm': 2.4394264221191406, 'learning_rate': 3.5965057697043044e-05, 'epoch': 0.03}

 39%|███▉      | 3877/10000 [9:08:07<19:54:13, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8620765209197998, dino_loss: 0.703125, depth_loss: 0.08122659474611282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.734548807144165, dino_loss: 0.625, depth_loss: 0.06468332558870316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3878/10000 [9:08:19<20:02:47, 11.79s/it]
                                                         
{'loss': 2.0645, 'grad_norm': 3.4286117553710938, 'learning_rate': 3.5957627385882884e-05, 'epoch': 0.03}

 39%|███▉      | 3878/10000 [9:08:19<20:02:47, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7359461784362793, dino_loss: 0.7265625, depth_loss: 0.051361408084630966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7538868188858032, dino_loss: 0.60546875, depth_loss: 0.04898126423358917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3879/10000 [9:08:30<19:55:17, 11.72s/it]
                                                         
{'loss': 1.8225, 'grad_norm': 2.945655584335327, 'learning_rate': 3.595019587641307e-05, 'epoch': 0.03}

 39%|███▉      | 3879/10000 [9:08:30<19:55:17, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8293509483337402, dino_loss: 0.70703125, depth_loss: 0.06608057767152786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9184795618057251, dino_loss: 0.6953125, depth_loss: 0.06526758521795273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3880/10000 [9:08:42<20:14:44, 11.91s/it]
                                                         
{'loss': 2.5128, 'grad_norm': 2.2977354526519775, 'learning_rate': 3.5942763169446295e-05, 'epoch': 0.03}

 39%|███▉      | 3880/10000 [9:08:42<20:14:44, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8923050165176392, dino_loss: 0.734375, depth_loss: 0.05732283741235733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.948955237865448, dino_loss: 0.6796875, depth_loss: 0.06371258199214935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3881/10000 [9:08:55<20:30:32, 12.07s/it]
                                                         
{'loss': 2.5297, 'grad_norm': 1.9970043897628784, 'learning_rate': 3.5935329265795396e-05, 'epoch': 0.03}

 39%|███▉      | 3881/10000 [9:08:55<20:30:32, 12.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7849922180175781, dino_loss: 0.6875, depth_loss: 0.05560728907585144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8512125611305237, dino_loss: 0.640625, depth_loss: 0.06042284145951271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3882/10000 [9:09:07<20:22:12, 11.99s/it]
                                                         
{'loss': 2.1588, 'grad_norm': 1.799513816833496, 'learning_rate': 3.592789416627332e-05, 'epoch': 0.03}

 39%|███▉      | 3882/10000 [9:09:07<20:22:12, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9998229742050171, dino_loss: 0.72265625, depth_loss: 0.053715214133262634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8388237953186035, dino_loss: 0.7265625, depth_loss: 0.06720195710659027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3883/10000 [9:09:18<20:04:19, 11.81s/it]
                                                         
{'loss': 2.1022, 'grad_norm': 2.815352439880371, 'learning_rate': 3.592045787169318e-05, 'epoch': 0.03}

 39%|███▉      | 3883/10000 [9:09:18<20:04:19, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8450267314910889, dino_loss: 0.66796875, depth_loss: 0.0851869285106659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8177086710929871, dino_loss: 0.59765625, depth_loss: 0.046980924904346466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3884/10000 [9:09:30<19:54:54, 11.72s/it]
                                                         
{'loss': 2.0562, 'grad_norm': 1.6378451585769653, 'learning_rate': 3.591302038286818e-05, 'epoch': 0.03}

 39%|███▉      | 3884/10000 [9:09:30<19:54:54, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7114802598953247, dino_loss: 0.64453125, depth_loss: 0.055093247443437576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7747827768325806, dino_loss: 0.6953125, depth_loss: 0.04714551195502281, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3885/10000 [9:09:42<20:06:13, 11.84s/it]
                                                         
{'loss': 2.2652, 'grad_norm': 1.8768956661224365, 'learning_rate': 3.590558170061168e-05, 'epoch': 0.03}

 39%|███▉      | 3885/10000 [9:09:42<20:06:13, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8848440051078796, dino_loss: 0.73046875, depth_loss: 0.06265110522508621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9935294389724731, dino_loss: 0.68359375, depth_loss: 0.05741511285305023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3886/10000 [9:09:53<19:46:01, 11.64s/it]
                                                         
{'loss': 2.0443, 'grad_norm': 2.6672494411468506, 'learning_rate': 3.589814182573715e-05, 'epoch': 0.03}

 39%|███▉      | 3886/10000 [9:09:53<19:46:01, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1470954418182373, dino_loss: 0.64453125, depth_loss: 0.05584999546408653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8129446506500244, dino_loss: 0.67578125, depth_loss: 0.05376649647951126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3887/10000 [9:10:05<19:48:56, 11.67s/it]
                                                         
{'loss': 2.4548, 'grad_norm': 4.118063926696777, 'learning_rate': 3.5890700759058234e-05, 'epoch': 0.03}

 39%|███▉      | 3887/10000 [9:10:05<19:48:56, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.78302001953125, dino_loss: 0.69921875, depth_loss: 0.07249148190021515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.867548942565918, dino_loss: 0.70703125, depth_loss: 0.05528070777654648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3888/10000 [9:10:17<19:59:06, 11.77s/it]
                                                         
{'loss': 2.6452, 'grad_norm': 2.5960967540740967, 'learning_rate': 3.5883258501388645e-05, 'epoch': 0.03}

 39%|███▉      | 3888/10000 [9:10:17<19:59:06, 11.77s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.7440876364707947, dino_loss: 0.66015625, depth_loss: 0.06362368911504745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7204488515853882, dino_loss: 0.6640625, depth_loss: 0.07095601409673691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3889/10000 [9:10:28<19:42:21, 11.61s/it]
                                                         
{'loss': 1.9388, 'grad_norm': 2.805819511413574, 'learning_rate': 3.5875815053542275e-05, 'epoch': 0.03}

 39%|███▉      | 3889/10000 [9:10:28<19:42:21, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8542176485061646, dino_loss: 0.68359375, depth_loss: 0.05477472394704819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9305182695388794, dino_loss: 0.73046875, depth_loss: 0.06266480684280396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3890/10000 [9:10:40<19:46:10, 11.65s/it]
                                                         
{'loss': 2.3635, 'grad_norm': 4.123222351074219, 'learning_rate': 3.586837041633312e-05, 'epoch': 0.03}

 39%|███▉      | 3890/10000 [9:10:40<19:46:10, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8889658451080322, dino_loss: 0.76171875, depth_loss: 0.06114194542169571, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8102905750274658, dino_loss: 0.66796875, depth_loss: 0.06406345218420029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3891/10000 [9:10:51<19:35:19, 11.54s/it]
                                                         
{'loss': 1.897, 'grad_norm': 6.508265972137451, 'learning_rate': 3.586092459057531e-05, 'epoch': 0.03}

 39%|███▉      | 3891/10000 [9:10:51<19:35:19, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8604466915130615, dino_loss: 0.6796875, depth_loss: 0.07540278881788254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8977872729301453, dino_loss: 0.671875, depth_loss: 0.0743662565946579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3892/10000 [9:11:03<19:44:16, 11.63s/it]
                                                         
{'loss': 2.4871, 'grad_norm': 1.632083535194397, 'learning_rate': 3.585347757708313e-05, 'epoch': 0.04}

 39%|███▉      | 3892/10000 [9:11:03<19:44:16, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9324965476989746, dino_loss: 0.71484375, depth_loss: 0.0631968304514885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0090383291244507, dino_loss: 0.6796875, depth_loss: 0.05997840315103531, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3893/10000 [9:11:15<19:57:15, 11.76s/it]
                                                         
{'loss': 2.4213, 'grad_norm': 2.9123482704162598, 'learning_rate': 3.5846029376670945e-05, 'epoch': 0.04}

 39%|███▉      | 3893/10000 [9:11:15<19:57:15, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0122543573379517, dino_loss: 0.65234375, depth_loss: 0.0486295223236084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052948236465454, dino_loss: 0.67578125, depth_loss: 0.04156891256570816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3894/10000 [9:11:27<20:09:46, 11.89s/it]
                                                         
{'loss': 2.6583, 'grad_norm': 12.82075023651123, 'learning_rate': 3.58385799901533e-05, 'epoch': 0.04}

 39%|███▉      | 3894/10000 [9:11:27<20:09:46, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.908554196357727, dino_loss: 0.73828125, depth_loss: 0.05193055421113968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9098741412162781, dino_loss: 0.6796875, depth_loss: 0.05158546194434166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3895/10000 [9:11:40<20:36:40, 12.15s/it]
                                                         
{'loss': 2.3615, 'grad_norm': 4.533183574676514, 'learning_rate': 3.5831129418344845e-05, 'epoch': 0.04}

 39%|███▉      | 3895/10000 [9:11:40<20:36:40, 12.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 1.001020908355713, dino_loss: 0.76171875, depth_loss: 0.06363174319267273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9522778987884521, dino_loss: 0.68359375, depth_loss: 0.05853896960616112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3896/10000 [9:11:52<20:25:55, 12.05s/it]
                                                         
{'loss': 2.3074, 'grad_norm': 3.2858657836914062, 'learning_rate': 3.582367766206036e-05, 'epoch': 0.04}

 39%|███▉      | 3896/10000 [9:11:52<20:25:55, 12.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8290783762931824, dino_loss: 0.66015625, depth_loss: 0.05221597105264664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.015790581703186, dino_loss: 0.74609375, depth_loss: 0.05976756289601326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3897/10000 [9:12:03<20:16:12, 11.96s/it]
                                                         
{'loss': 2.2369, 'grad_norm': 2.838324785232544, 'learning_rate': 3.5816224722114754e-05, 'epoch': 0.04}

 39%|███▉      | 3897/10000 [9:12:03<20:16:12, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8246147632598877, dino_loss: 0.68359375, depth_loss: 0.05453179404139519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.778316855430603, dino_loss: 0.63671875, depth_loss: 0.04939156398177147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3898/10000 [9:12:15<20:18:13, 11.98s/it]
                                                         
{'loss': 2.3126, 'grad_norm': 2.004145860671997, 'learning_rate': 3.580877059932308e-05, 'epoch': 0.04}

 39%|███▉      | 3898/10000 [9:12:15<20:18:13, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8831179738044739, dino_loss: 0.73046875, depth_loss: 0.07557864487171173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.836101770401001, dino_loss: 0.765625, depth_loss: 0.0623830109834671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3899/10000 [9:12:26<19:47:25, 11.68s/it]
                                                         
{'loss': 1.6885, 'grad_norm': 4.2135748863220215, 'learning_rate': 3.58013152945005e-05, 'epoch': 0.04}

 39%|███▉      | 3899/10000 [9:12:26<19:47:25, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8749377131462097, dino_loss: 0.69140625, depth_loss: 0.07957734912633896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9306920170783997, dino_loss: 0.765625, depth_loss: 0.05479329824447632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3900/10000 [9:12:37<19:23:16, 11.44s/it]
                                                         
{'loss': 1.9872, 'grad_norm': 7.388514995574951, 'learning_rate': 3.579385880846232e-05, 'epoch': 0.04}

 39%|███▉      | 3900/10000 [9:12:37<19:23:16, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9814592003822327, dino_loss: 0.6796875, depth_loss: 0.07348478585481644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9136441946029663, dino_loss: 0.72265625, depth_loss: 0.07407576590776443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3901/10000 [9:12:49<19:34:26, 11.55s/it]
                                                         
{'loss': 2.083, 'grad_norm': 5.729872703552246, 'learning_rate': 3.5786401142023975e-05, 'epoch': 0.04}

 39%|███▉      | 3901/10000 [9:12:49<19:34:26, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8361901640892029, dino_loss: 0.6953125, depth_loss: 0.06936007738113403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9025512933731079, dino_loss: 0.6875, depth_loss: 0.06087357550859451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3902/10000 [9:13:00<19:29:03, 11.50s/it]
                                                         
{'loss': 2.0735, 'grad_norm': 4.258000373840332, 'learning_rate': 3.5778942296001015e-05, 'epoch': 0.04}

 39%|███▉      | 3902/10000 [9:13:00<19:29:03, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9157703518867493, dino_loss: 0.703125, depth_loss: 0.07439552992582321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8334392309188843, dino_loss: 0.671875, depth_loss: 0.050050441175699234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3903/10000 [9:13:12<19:37:54, 11.59s/it]
                                                         
{'loss': 2.0496, 'grad_norm': 2.780046224594116, 'learning_rate': 3.5771482271209134e-05, 'epoch': 0.04}

 39%|███▉      | 3903/10000 [9:13:12<19:37:54, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8949048519134521, dino_loss: 0.71484375, depth_loss: 0.06876178830862045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7447203397750854, dino_loss: 0.60546875, depth_loss: 0.0516103059053421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3904/10000 [9:13:24<19:34:11, 11.56s/it]
                                                         
{'loss': 2.1002, 'grad_norm': 4.667655944824219, 'learning_rate': 3.5764021068464144e-05, 'epoch': 0.04}

 39%|███▉      | 3904/10000 [9:13:24<19:34:11, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0087677240371704, dino_loss: 0.69140625, depth_loss: 0.05772125720977783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9992738962173462, dino_loss: 0.62890625, depth_loss: 0.07635989785194397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3905/10000 [9:13:35<19:29:59, 11.52s/it]
                                                         
{'loss': 2.1668, 'grad_norm': 2.7346973419189453, 'learning_rate': 3.5756558688581985e-05, 'epoch': 0.04}

 39%|███▉      | 3905/10000 [9:13:35<19:29:59, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8533528447151184, dino_loss: 0.671875, depth_loss: 0.07957819104194641, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9211312532424927, dino_loss: 0.66796875, depth_loss: 0.05018284544348717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3906/10000 [9:13:46<19:16:27, 11.39s/it]
                                                         
{'loss': 2.0978, 'grad_norm': 1.6281448602676392, 'learning_rate': 3.5749095132378754e-05, 'epoch': 0.04}

 39%|███▉      | 3906/10000 [9:13:46<19:16:27, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.842322051525116, dino_loss: 0.69921875, depth_loss: 0.05699007958173752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8547542095184326, dino_loss: 0.69921875, depth_loss: 0.06673449277877808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3907/10000 [9:13:58<19:22:39, 11.45s/it]
                                                         
{'loss': 2.4108, 'grad_norm': 6.128232955932617, 'learning_rate': 3.574163040067063e-05, 'epoch': 0.04}

 39%|███▉      | 3907/10000 [9:13:58<19:22:39, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9057180285453796, dino_loss: 0.68359375, depth_loss: 0.049670830368995667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8552969694137573, dino_loss: 0.7109375, depth_loss: 0.05741611495614052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3908/10000 [9:14:09<19:08:23, 11.31s/it]
                                                         
{'loss': 1.8789, 'grad_norm': 2.0067853927612305, 'learning_rate': 3.573416449427396e-05, 'epoch': 0.04}

 39%|███▉      | 3908/10000 [9:14:09<19:08:23, 11.31s/it]the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.7549057006835938, dino_loss: 0.671875, depth_loss: 0.06878895312547684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9693011045455933, dino_loss: 0.68359375, depth_loss: 0.06727642565965652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3909/10000 [9:14:20<19:05:06, 11.28s/it]
                                                         
{'loss': 1.7776, 'grad_norm': 3.0346102714538574, 'learning_rate': 3.57266974140052e-05, 'epoch': 0.04}

 39%|███▉      | 3909/10000 [9:14:20<19:05:06, 11.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8278965353965759, dino_loss: 0.66015625, depth_loss: 0.06226218864321709, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.8950538635253906, dino_loss: 0.73828125, depth_loss: 0.06383635848760605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3910/10000 [9:14:32<19:24:03, 11.47s/it]
                                                         
{'loss': 2.04, 'grad_norm': 3.956247568130493, 'learning_rate': 3.571922916068094e-05, 'epoch': 0.04}

 39%|███▉      | 3910/10000 [9:14:32<19:24:03, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.994368314743042, dino_loss: 0.7109375, depth_loss: 0.0662987232208252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7387774586677551, dino_loss: 0.75, depth_loss: 0.0708930641412735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3911/10000 [9:14:44<19:37:45, 11.61s/it]
                                                         
{'loss': 2.3994, 'grad_norm': 3.5539064407348633, 'learning_rate': 3.5711759735117886e-05, 'epoch': 0.04}

 39%|███▉      | 3911/10000 [9:14:44<19:37:45, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8170294761657715, dino_loss: 0.6484375, depth_loss: 0.05742722749710083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.3085505962371826, dino_loss: 0.71484375, depth_loss: 0.06542642414569855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3912/10000 [9:14:56<19:45:40, 11.69s/it]
                                                         
{'loss': 2.3476, 'grad_norm': 5.894194602966309, 'learning_rate': 3.57042891381329e-05, 'epoch': 0.04}

 39%|███▉      | 3912/10000 [9:14:56<19:45:40, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9758138060569763, dino_loss: 0.71875, depth_loss: 0.06614057719707489, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8049051761627197, dino_loss: 0.6875, depth_loss: 0.05900547653436661, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3913/10000 [9:15:07<19:45:16, 11.68s/it]
                                                         
{'loss': 2.3975, 'grad_norm': 2.972999095916748, 'learning_rate': 3.5696817370542945e-05, 'epoch': 0.04}

 39%|███▉      | 3913/10000 [9:15:07<19:45:16, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8746706247329712, dino_loss: 0.6875, depth_loss: 0.07587726414203644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9352871775627136, dino_loss: 0.71875, depth_loss: 0.059051770716905594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3914/10000 [9:15:19<19:48:28, 11.72s/it]
                                                         
{'loss': 2.2553, 'grad_norm': 2.0960309505462646, 'learning_rate': 3.5689344433165125e-05, 'epoch': 0.04}

 39%|███▉      | 3914/10000 [9:15:19<19:48:28, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8166708946228027, dino_loss: 0.71875, depth_loss: 0.056537095457315445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9305593967437744, dino_loss: 0.73046875, depth_loss: 0.06941890716552734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3915/10000 [9:15:31<19:39:43, 11.63s/it]
                                                         
{'loss': 2.2192, 'grad_norm': 3.8612682819366455, 'learning_rate': 3.568187032681667e-05, 'epoch': 0.04}

 39%|███▉      | 3915/10000 [9:15:31<19:39:43, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7928429245948792, dino_loss: 0.70703125, depth_loss: 0.07356596738100052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7268780469894409, dino_loss: 0.6484375, depth_loss: 0.06625518947839737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3916/10000 [9:15:42<19:33:50, 11.58s/it]
                                                         
{'loss': 2.1489, 'grad_norm': 4.145002841949463, 'learning_rate': 3.567439505231494e-05, 'epoch': 0.04}

 39%|███▉      | 3916/10000 [9:15:42<19:33:50, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9029021859169006, dino_loss: 0.74609375, depth_loss: 0.07333541661500931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.115535020828247, dino_loss: 0.73046875, depth_loss: 0.0650605857372284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3917/10000 [9:15:54<19:38:49, 11.63s/it]
                                                         
{'loss': 2.614, 'grad_norm': 5.623266220092773, 'learning_rate': 3.566691861047741e-05, 'epoch': 0.04}

 39%|███▉      | 3917/10000 [9:15:54<19:38:49, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8428410291671753, dino_loss: 0.671875, depth_loss: 0.05100056529045105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9734236001968384, dino_loss: 0.6875, depth_loss: 0.06822086870670319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3918/10000 [9:16:05<19:40:18, 11.64s/it]
                                                         
{'loss': 2.2999, 'grad_norm': 1.9781315326690674, 'learning_rate': 3.5659441002121694e-05, 'epoch': 0.04}

 39%|███▉      | 3918/10000 [9:16:05<19:40:18, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6765164732933044, dino_loss: 0.69921875, depth_loss: 0.06284727156162262, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9664424061775208, dino_loss: 0.6875, depth_loss: 0.10477294027805328, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3919/10000 [9:16:17<19:40:54, 11.65s/it]
                                                         
{'loss': 2.406, 'grad_norm': 2.345637559890747, 'learning_rate': 3.5651962228065545e-05, 'epoch': 0.04}

 39%|███▉      | 3919/10000 [9:16:17<19:40:54, 11.65s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.7999885678291321, dino_loss: 0.671875, depth_loss: 0.06986238807439804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9824798703193665, dino_loss: 0.6953125, depth_loss: 0.058899134397506714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3920/10000 [9:16:29<19:38:25, 11.63s/it]
                                                         
{'loss': 2.5743, 'grad_norm': 4.12528133392334, 'learning_rate': 3.564448228912682e-05, 'epoch': 0.04}

 39%|███▉      | 3920/10000 [9:16:29<19:38:25, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7687034010887146, dino_loss: 0.625, depth_loss: 0.057711854577064514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7319373488426208, dino_loss: 0.71484375, depth_loss: 0.0686415284872055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3921/10000 [9:16:41<19:50:30, 11.75s/it]
                                                         
{'loss': 2.1903, 'grad_norm': 3.700047016143799, 'learning_rate': 3.563700118612351e-05, 'epoch': 0.04}

 39%|███▉      | 3921/10000 [9:16:41<19:50:30, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7407782077789307, dino_loss: 0.69140625, depth_loss: 0.05486517399549484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8825538158416748, dino_loss: 0.703125, depth_loss: 0.055471450090408325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3922/10000 [9:16:53<19:51:43, 11.76s/it]
                                                         
{'loss': 2.1809, 'grad_norm': 2.174163341522217, 'learning_rate': 3.562951891987375e-05, 'epoch': 0.04}

 39%|███▉      | 3922/10000 [9:16:53<19:51:43, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9254606366157532, dino_loss: 0.74609375, depth_loss: 0.0602739043533802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6925211548805237, dino_loss: 0.703125, depth_loss: 0.055549006909132004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3923/10000 [9:17:04<19:47:04, 11.72s/it]
                                                         
{'loss': 2.1517, 'grad_norm': 2.8256731033325195, 'learning_rate': 3.5622035491195776e-05, 'epoch': 0.04}

 39%|███▉      | 3923/10000 [9:17:04<19:47:04, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6514192223548889, dino_loss: 0.6796875, depth_loss: 0.049190569669008255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.67108553647995, dino_loss: 0.67578125, depth_loss: 0.054238516837358475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3924/10000 [9:17:17<20:18:04, 12.03s/it]
                                                         
{'loss': 2.2867, 'grad_norm': 1.909266471862793, 'learning_rate': 3.5614550900907976e-05, 'epoch': 0.04}

 39%|███▉      | 3924/10000 [9:17:17<20:18:04, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6766024827957153, dino_loss: 0.703125, depth_loss: 0.0523751899600029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.92290860414505, dino_loss: 0.6875, depth_loss: 0.06497166305780411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3925/10000 [9:17:29<20:18:20, 12.03s/it]
                                                         
{'loss': 2.3154, 'grad_norm': 2.9820876121520996, 'learning_rate': 3.5607065149828843e-05, 'epoch': 0.04}

 39%|███▉      | 3925/10000 [9:17:29<20:18:20, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8160874843597412, dino_loss: 0.71484375, depth_loss: 0.07551039755344391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7317616939544678, dino_loss: 0.61328125, depth_loss: 0.06391188502311707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3926/10000 [9:17:40<19:58:15, 11.84s/it]
                                                         
{'loss': 1.6979, 'grad_norm': 4.151280403137207, 'learning_rate': 3.559957823877702e-05, 'epoch': 0.04}

 39%|███▉      | 3926/10000 [9:17:40<19:58:15, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7560042142868042, dino_loss: 0.671875, depth_loss: 0.057952575385570526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8076779246330261, dino_loss: 0.7265625, depth_loss: 0.06975927948951721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3927/10000 [9:17:52<19:40:55, 11.67s/it]
                                                         
{'loss': 1.9887, 'grad_norm': 4.076888561248779, 'learning_rate': 3.559209016857125e-05, 'epoch': 0.04}

 39%|███▉      | 3927/10000 [9:17:52<19:40:55, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9426800012588501, dino_loss: 0.6953125, depth_loss: 0.0717368945479393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7643547058105469, dino_loss: 0.65625, depth_loss: 0.05641883239150047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3928/10000 [9:18:03<19:42:50, 11.69s/it]
                                                         
{'loss': 2.3969, 'grad_norm': 2.452928066253662, 'learning_rate': 3.558460094003043e-05, 'epoch': 0.04}

 39%|███▉      | 3928/10000 [9:18:03<19:42:50, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9066010117530823, dino_loss: 0.69921875, depth_loss: 0.06142154335975647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.576224684715271, dino_loss: 0.6171875, depth_loss: 0.050909433513879776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3929/10000 [9:18:15<19:42:48, 11.69s/it]
                                                         
{'loss': 1.7924, 'grad_norm': 2.1589338779449463, 'learning_rate': 3.557711055397356e-05, 'epoch': 0.04}

 39%|███▉      | 3929/10000 [9:18:15<19:42:48, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8294915556907654, dino_loss: 0.6875, depth_loss: 0.0793614313006401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0089092254638672, dino_loss: 0.6953125, depth_loss: 0.07589861005544662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3930/10000 [9:18:27<19:48:01, 11.74s/it]
                                                         
{'loss': 2.092, 'grad_norm': 2.6424570083618164, 'learning_rate': 3.556961901121978e-05, 'epoch': 0.04}

 39%|███▉      | 3930/10000 [9:18:27<19:48:01, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8955571055412292, dino_loss: 0.7109375, depth_loss: 0.07216519117355347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.94334876537323, dino_loss: 0.71484375, depth_loss: 0.07815505564212799, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3931/10000 [9:18:39<19:55:20, 11.82s/it]
                                                         
{'loss': 1.9947, 'grad_norm': 6.212331295013428, 'learning_rate': 3.556212631258836e-05, 'epoch': 0.04}

 39%|███▉      | 3931/10000 [9:18:39<19:55:20, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9508955478668213, dino_loss: 0.7890625, depth_loss: 0.08513408899307251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7509148716926575, dino_loss: 0.62109375, depth_loss: 0.06847136467695236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3932/10000 [9:18:51<19:55:36, 11.82s/it]
                                                         
{'loss': 2.4437, 'grad_norm': 4.766285419464111, 'learning_rate': 3.555463245889869e-05, 'epoch': 0.04}

 39%|███▉      | 3932/10000 [9:18:51<19:55:36, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8873727321624756, dino_loss: 0.7109375, depth_loss: 0.06161685287952423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0574231147766113, dino_loss: 0.6875, depth_loss: 0.07524922490119934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3933/10000 [9:19:02<19:43:29, 11.70s/it]
                                                         
{'loss': 2.166, 'grad_norm': 5.48333740234375, 'learning_rate': 3.554713745097028e-05, 'epoch': 0.04}

 39%|███▉      | 3933/10000 [9:19:02<19:43:29, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7243250608444214, dino_loss: 0.6484375, depth_loss: 0.04940789192914963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 1
seg_loss: 0.8120880722999573, dino_loss: 0.6796875, depth_loss: 0.05447614938020706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3934/10000 [9:19:14<19:37:52, 11.65s/it]
                                                         
{'loss': 2.0092, 'grad_norm': 3.5461456775665283, 'learning_rate': 3.553964128962277e-05, 'epoch': 0.04}

 39%|███▉      | 3934/10000 [9:19:14<19:37:52, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6396722197532654, dino_loss: 0.6171875, depth_loss: 0.0468333438038826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8627434968948364, dino_loss: 0.73828125, depth_loss: 0.08136366307735443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3935/10000 [9:19:25<19:38:40, 11.66s/it]
                                                         
{'loss': 1.939, 'grad_norm': 2.2650158405303955, 'learning_rate': 3.553214397567595e-05, 'epoch': 0.04}

 39%|███▉      | 3935/10000 [9:19:25<19:38:40, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9743558764457703, dino_loss: 0.703125, depth_loss: 0.07242992520332336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0568482875823975, dino_loss: 0.72265625, depth_loss: 0.061841145157814026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3936/10000 [9:19:37<19:37:34, 11.65s/it]
                                                         
{'loss': 2.4924, 'grad_norm': 5.738270282745361, 'learning_rate': 3.5524645509949686e-05, 'epoch': 0.04}

 39%|███▉      | 3936/10000 [9:19:37<19:37:34, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7370623350143433, dino_loss: 0.71875, depth_loss: 0.057589706033468246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8748205304145813, dino_loss: 0.640625, depth_loss: 0.05399388074874878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3937/10000 [9:19:49<19:36:57, 11.65s/it]
                                                         
{'loss': 2.1293, 'grad_norm': 2.237454891204834, 'learning_rate': 3.5517145893264015e-05, 'epoch': 0.04}

 39%|███▉      | 3937/10000 [9:19:49<19:36:57, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8806698322296143, dino_loss: 0.71484375, depth_loss: 0.06553857028484344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6665869355201721, dino_loss: 0.66015625, depth_loss: 0.0641949251294136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3938/10000 [9:20:01<19:44:26, 11.72s/it]
                                                         
{'loss': 2.4302, 'grad_norm': 3.354658842086792, 'learning_rate': 3.550964512643908e-05, 'epoch': 0.04}

 39%|███▉      | 3938/10000 [9:20:01<19:44:26, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7981693744659424, dino_loss: 0.6640625, depth_loss: 0.060718514025211334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0320452451705933, dino_loss: 0.6796875, depth_loss: 0.058178361505270004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3939/10000 [9:20:12<19:36:50, 11.65s/it]
                                                         
{'loss': 1.6485, 'grad_norm': 5.9423675537109375, 'learning_rate': 3.5502143210295165e-05, 'epoch': 0.04}

 39%|███▉      | 3939/10000 [9:20:12<19:36:50, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9218456745147705, dino_loss: 0.6640625, depth_loss: 0.07008083164691925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8374093770980835, dino_loss: 0.73828125, depth_loss: 0.07409609109163284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3940/10000 [9:20:25<20:06:00, 11.94s/it]
                                                         
{'loss': 2.6789, 'grad_norm': 2.838258743286133, 'learning_rate': 3.549464014565265e-05, 'epoch': 0.04}

 39%|███▉      | 3940/10000 [9:20:25<20:06:00, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8787350058555603, dino_loss: 0.671875, depth_loss: 0.05749611556529999, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.856874406337738, dino_loss: 0.70703125, depth_loss: 0.08244796097278595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3941/10000 [9:20:37<20:15:57, 12.04s/it]
                                                         
{'loss': 2.381, 'grad_norm': 5.548557758331299, 'learning_rate': 3.548713593333206e-05, 'epoch': 0.04}

 39%|███▉      | 3941/10000 [9:20:37<20:15:57, 12.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.918709933757782, dino_loss: 0.7109375, depth_loss: 0.06005777418613434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.889229416847229, dino_loss: 0.7578125, depth_loss: 0.07904770225286484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3942/10000 [9:20:48<19:47:47, 11.76s/it]
                                                         
{'loss': 1.8831, 'grad_norm': 8.06951904296875, 'learning_rate': 3.547963057415406e-05, 'epoch': 0.04}

 39%|███▉      | 3942/10000 [9:20:48<19:47:47, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.84427809715271, dino_loss: 0.6875, depth_loss: 0.06436759978532791, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8283188343048096, dino_loss: 0.65234375, depth_loss: 0.06402875483036041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3943/10000 [9:20:59<19:28:22, 11.57s/it]
                                                         
{'loss': 2.0288, 'grad_norm': 2.311147689819336, 'learning_rate': 3.5472124068939416e-05, 'epoch': 0.04}

 39%|███▉      | 3943/10000 [9:20:59<19:28:22, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.805038571357727, dino_loss: 0.75, depth_loss: 0.08547383546829224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6784297823905945, dino_loss: 0.640625, depth_loss: 0.057325564324855804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3944/10000 [9:21:11<19:31:31, 11.61s/it]
                                                         
{'loss': 2.0306, 'grad_norm': 2.4802815914154053, 'learning_rate': 3.546461641850903e-05, 'epoch': 0.04}

 39%|███▉      | 3944/10000 [9:21:11<19:31:31, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9301085472106934, dino_loss: 0.67578125, depth_loss: 0.060586001724004745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.906848669052124, dino_loss: 0.703125, depth_loss: 0.06025400757789612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3945/10000 [9:21:23<20:01:29, 11.91s/it]
                                                         
{'loss': 2.4543, 'grad_norm': 2.8672399520874023, 'learning_rate': 3.545710762368392e-05, 'epoch': 0.04}

 39%|███▉      | 3945/10000 [9:21:23<20:01:29, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9292565584182739, dino_loss: 0.69140625, depth_loss: 0.06665675342082977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8732424974441528, dino_loss: 0.6875, depth_loss: 0.07491368800401688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3946/10000 [9:21:35<19:40:14, 11.70s/it]
                                                         
{'loss': 1.9886, 'grad_norm': 6.853391647338867, 'learning_rate': 3.544959768528525e-05, 'epoch': 0.04}

 39%|███▉      | 3946/10000 [9:21:35<19:40:14, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8911526203155518, dino_loss: 0.71875, depth_loss: 0.0687771886587143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7640649080276489, dino_loss: 0.66015625, depth_loss: 0.05395007133483887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3947/10000 [9:21:46<19:38:35, 11.68s/it]
                                                         
{'loss': 1.9127, 'grad_norm': 2.3112761974334717, 'learning_rate': 3.544208660413428e-05, 'epoch': 0.04}

 39%|███▉      | 3947/10000 [9:21:46<19:38:35, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0308270454406738, dino_loss: 0.7265625, depth_loss: 0.06254565715789795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7716013193130493, dino_loss: 0.69921875, depth_loss: 0.07366377115249634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3948/10000 [9:21:58<19:31:01, 11.61s/it]
                                                         
{'loss': 2.3192, 'grad_norm': 2.6823623180389404, 'learning_rate': 3.5434574381052425e-05, 'epoch': 0.04}

 39%|███▉      | 3948/10000 [9:21:58<19:31:01, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8136581182479858, dino_loss: 0.67578125, depth_loss: 0.0720110610127449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9421417117118835, dino_loss: 0.71484375, depth_loss: 0.06877198815345764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 39%|███▉      | 3949/10000 [9:22:09<19:20:15, 11.50s/it]
                                                         
{'loss': 2.2451, 'grad_norm': 2.6953177452087402, 'learning_rate': 3.54270610168612e-05, 'epoch': 0.04}

 39%|███▉      | 3949/10000 [9:22:09<19:20:15, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7036042213439941, dino_loss: 0.6875, depth_loss: 0.05613155663013458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.014756441116333, dino_loss: 0.69921875, depth_loss: 0.06450332701206207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3950/10000 [9:22:21<19:21:07, 11.52s/it]
                                                         
{'loss': 1.772, 'grad_norm': 2.875086545944214, 'learning_rate': 3.5419546512382266e-05, 'epoch': 0.04}

 40%|███▉      | 3950/10000 [9:22:21<19:21:07, 11.52s/it]the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.063692569732666, dino_loss: 0.71875, depth_loss: 0.06713791191577911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9129949808120728, dino_loss: 0.6953125, depth_loss: 0.07817132771015167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3951/10000 [9:22:32<19:08:46, 11.39s/it]
                                                         
{'loss': 1.9335, 'grad_norm': 8.146207809448242, 'learning_rate': 3.5412030868437376e-05, 'epoch': 0.04}

 40%|███▉      | 3951/10000 [9:22:32<19:08:46, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8183396458625793, dino_loss: 0.6640625, depth_loss: 0.06639797985553741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8762918710708618, dino_loss: 0.66796875, depth_loss: 0.058046478778123856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3952/10000 [9:22:43<18:55:47, 11.27s/it]
                                                         
{'loss': 1.8374, 'grad_norm': 1.456997275352478, 'learning_rate': 3.5404514085848464e-05, 'epoch': 0.04}

 40%|███▉      | 3952/10000 [9:22:43<18:55:47, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9094035625457764, dino_loss: 0.703125, depth_loss: 0.07734344899654388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9361814260482788, dino_loss: 0.65625, depth_loss: 0.06122946739196777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3953/10000 [9:22:54<19:02:02, 11.33s/it]
                                                         
{'loss': 2.3959, 'grad_norm': 3.355166435241699, 'learning_rate': 3.539699616543752e-05, 'epoch': 0.04}

 40%|███▉      | 3953/10000 [9:22:54<19:02:02, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8171253800392151, dino_loss: 0.67578125, depth_loss: 0.0622800812125206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8915783762931824, dino_loss: 0.6875, depth_loss: 0.04894261434674263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3954/10000 [9:23:05<19:01:47, 11.33s/it]
                                                         
{'loss': 2.0596, 'grad_norm': 3.4386825561523438, 'learning_rate': 3.5389477108026714e-05, 'epoch': 0.04}

 40%|███▉      | 3954/10000 [9:23:05<19:01:47, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9007091522216797, dino_loss: 0.671875, depth_loss: 0.060619764029979706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9096773862838745, dino_loss: 0.7421875, depth_loss: 0.0776233822107315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3955/10000 [9:23:17<19:17:22, 11.49s/it]
                                                         
{'loss': 2.428, 'grad_norm': 1.8050174713134766, 'learning_rate': 3.5381956914438305e-05, 'epoch': 0.04}

 40%|███▉      | 3955/10000 [9:23:17<19:17:22, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8611043691635132, dino_loss: 0.66796875, depth_loss: 0.07159765064716339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9241153597831726, dino_loss: 0.71875, depth_loss: 0.05622342973947525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3956/10000 [9:23:29<19:08:55, 11.41s/it]
                                                         
{'loss': 1.8389, 'grad_norm': 1.1655333042144775, 'learning_rate': 3.53744355854947e-05, 'epoch': 0.04}

 40%|███▉      | 3956/10000 [9:23:29<19:08:55, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9409448504447937, dino_loss: 0.6796875, depth_loss: 0.0567089281976223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8830243945121765, dino_loss: 0.671875, depth_loss: 0.05263328179717064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3957/10000 [9:23:40<19:15:59, 11.48s/it]
                                                         
{'loss': 2.4417, 'grad_norm': 4.0521697998046875, 'learning_rate': 3.536691312201842e-05, 'epoch': 0.04}

 40%|███▉      | 3957/10000 [9:23:40<19:15:59, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8625566959381104, dino_loss: 0.7890625, depth_loss: 0.08800165355205536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7202093005180359, dino_loss: 0.65234375, depth_loss: 0.05158780515193939, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3958/10000 [9:23:52<19:34:58, 11.67s/it]
                                                         
{'loss': 2.3228, 'grad_norm': 3.9751532077789307, 'learning_rate': 3.535938952483211e-05, 'epoch': 0.04}

 40%|███▉      | 3958/10000 [9:23:52<19:34:58, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8160632848739624, dino_loss: 0.6875, depth_loss: 0.051019445061683655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 1
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6276347041130066, dino_loss: 0.66796875, depth_loss: 0.050752609968185425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3959/10000 [9:24:04<19:43:46, 11.76s/it]
                                                         
{'loss': 2.1981, 'grad_norm': 2.3519551753997803, 'learning_rate': 3.535186479475853e-05, 'epoch': 0.04}

 40%|███▉      | 3959/10000 [9:24:04<19:43:46, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8942087888717651, dino_loss: 0.73828125, depth_loss: 0.060050319880247116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9759240746498108, dino_loss: 0.71484375, depth_loss: 0.06767794489860535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3960/10000 [9:24:16<19:30:27, 11.63s/it]
                                                         
{'loss': 1.9446, 'grad_norm': 5.27122163772583, 'learning_rate': 3.534433893262058e-05, 'epoch': 0.04}

 40%|███▉      | 3960/10000 [9:24:16<19:30:27, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7408847212791443, dino_loss: 0.609375, depth_loss: 0.055530332028865814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8918600678443909, dino_loss: 0.73828125, depth_loss: 0.06455226242542267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3961/10000 [9:24:27<19:33:51, 11.66s/it]
                                                         
{'loss': 1.5542, 'grad_norm': 3.644855260848999, 'learning_rate': 3.533681193924128e-05, 'epoch': 0.04}

 40%|███▉      | 3961/10000 [9:24:27<19:33:51, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8886434435844421, dino_loss: 0.7421875, depth_loss: 0.05534665286540985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0089386701583862, dino_loss: 0.72265625, depth_loss: 0.06684723496437073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3962/10000 [9:24:39<19:25:23, 11.58s/it]
                                                         
{'loss': 2.0523, 'grad_norm': 2.870882749557495, 'learning_rate': 3.532928381544377e-05, 'epoch': 0.04}

 40%|███▉      | 3962/10000 [9:24:39<19:25:23, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8974735736846924, dino_loss: 0.7421875, depth_loss: 0.06477285176515579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9798283576965332, dino_loss: 0.71875, depth_loss: 0.058020059019327164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3963/10000 [9:24:50<19:18:21, 11.51s/it]
                                                         
{'loss': 2.2927, 'grad_norm': 2.728959083557129, 'learning_rate': 3.53217545620513e-05, 'epoch': 0.04}

 40%|███▉      | 3963/10000 [9:24:50<19:18:21, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9606194496154785, dino_loss: 0.75, depth_loss: 0.06496012955904007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.002458095550537, dino_loss: 0.6953125, depth_loss: 0.04672740772366524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3964/10000 [9:25:01<19:11:35, 11.45s/it]
                                                         
{'loss': 2.2609, 'grad_norm': 2.254356861114502, 'learning_rate': 3.531422417988728e-05, 'epoch': 0.04}

 40%|███▉      | 3964/10000 [9:25:01<19:11:35, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8448383808135986, dino_loss: 0.69140625, depth_loss: 0.07276138663291931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8413042426109314, dino_loss: 0.7109375, depth_loss: 0.05089069530367851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3965/10000 [9:25:12<18:58:33, 11.32s/it]
                                                         
{'loss': 1.7804, 'grad_norm': 1.874548077583313, 'learning_rate': 3.530669266977521e-05, 'epoch': 0.04}

 40%|███▉      | 3965/10000 [9:25:12<18:58:33, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7567017674446106, dino_loss: 0.703125, depth_loss: 0.07528528571128845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9657110571861267, dino_loss: 0.68359375, depth_loss: 0.05947688966989517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3966/10000 [9:25:24<19:06:33, 11.40s/it]
                                                         
{'loss': 2.0988, 'grad_norm': 3.2284293174743652, 'learning_rate': 3.529916003253872e-05, 'epoch': 0.04}

 40%|███▉      | 3966/10000 [9:25:24<19:06:33, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8931335210800171, dino_loss: 0.67578125, depth_loss: 0.06850951164960861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8930580019950867, dino_loss: 0.6640625, depth_loss: 0.05230564624071121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3967/10000 [9:25:36<19:21:42, 11.55s/it]
                                                         
{'loss': 2.1322, 'grad_norm': 3.445888042449951, 'learning_rate': 3.5291626269001574e-05, 'epoch': 0.04}

 40%|███▉      | 3967/10000 [9:25:36<19:21:42, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8149884343147278, dino_loss: 0.6875, depth_loss: 0.06049412116408348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.968303918838501, dino_loss: 0.7109375, depth_loss: 0.05110901966691017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3968/10000 [9:25:47<19:18:12, 11.52s/it]
                                                         
{'loss': 2.3201, 'grad_norm': 3.854862689971924, 'learning_rate': 3.528409137998766e-05, 'epoch': 0.04}

 40%|███▉      | 3968/10000 [9:25:47<19:18:12, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9576244354248047, dino_loss: 0.703125, depth_loss: 0.052742164582014084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9912548065185547, dino_loss: 0.703125, depth_loss: 0.05285883694887161, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3969/10000 [9:25:59<19:33:02, 11.67s/it]
                                                         
{'loss': 2.4309, 'grad_norm': 3.4192392826080322, 'learning_rate': 3.527655536632097e-05, 'epoch': 0.04}

 40%|███▉      | 3969/10000 [9:25:59<19:33:02, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9007530808448792, dino_loss: 0.71875, depth_loss: 0.05598582327365875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8435615301132202, dino_loss: 0.6953125, depth_loss: 0.06516359746456146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3970/10000 [9:26:11<19:34:16, 11.68s/it]
                                                         
{'loss': 1.9762, 'grad_norm': 3.068237066268921, 'learning_rate': 3.526901822882564e-05, 'epoch': 0.04}

 40%|███▉      | 3970/10000 [9:26:11<19:34:16, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8029637336730957, dino_loss: 0.6875, depth_loss: 0.0443522185087204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7696799039840698, dino_loss: 0.6640625, depth_loss: 0.06342434883117676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3971/10000 [9:26:23<19:43:57, 11.78s/it]
                                                         
{'loss': 1.9462, 'grad_norm': 4.06576681137085, 'learning_rate': 3.5261479968325914e-05, 'epoch': 0.04}

 40%|███▉      | 3971/10000 [9:26:23<19:43:57, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9427802562713623, dino_loss: 0.73046875, depth_loss: 0.06750066578388214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9019166231155396, dino_loss: 0.74609375, depth_loss: 0.06302233785390854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3972/10000 [9:26:35<20:02:03, 11.96s/it]
                                                         
{'loss': 2.3432, 'grad_norm': 3.438230037689209, 'learning_rate': 3.525394058564616e-05, 'epoch': 0.04}

 40%|███▉      | 3972/10000 [9:26:35<20:02:03, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7342197895050049, dino_loss: 0.6875, depth_loss: 0.047011084854602814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7247775793075562, dino_loss: 0.64453125, depth_loss: 0.05970633774995804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3973/10000 [9:26:47<19:57:50, 11.92s/it]
                                                         
{'loss': 2.1459, 'grad_norm': 1.9968326091766357, 'learning_rate': 3.524640008161089e-05, 'epoch': 0.04}

 40%|███▉      | 3973/10000 [9:26:47<19:57:50, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8520703315734863, dino_loss: 0.69140625, depth_loss: 0.060577791184186935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9038212299346924, dino_loss: 0.6953125, depth_loss: 0.05199623852968216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3974/10000 [9:26:59<19:55:37, 11.90s/it]
                                                         
{'loss': 2.671, 'grad_norm': 2.302044153213501, 'learning_rate': 3.5238858457044705e-05, 'epoch': 0.04}

 40%|███▉      | 3974/10000 [9:26:59<19:55:37, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.013840675354004, dino_loss: 0.69140625, depth_loss: 0.06255484372377396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9343214631080627, dino_loss: 0.69140625, depth_loss: 0.06614275276660919, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3975/10000 [9:27:11<19:46:29, 11.82s/it]
                                                         
{'loss': 2.4444, 'grad_norm': 4.212534427642822, 'learning_rate': 3.523131571277235e-05, 'epoch': 0.04}

 40%|███▉      | 3975/10000 [9:27:11<19:46:29, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8837282657623291, dino_loss: 0.6953125, depth_loss: 0.06805643439292908, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8778210282325745, dino_loss: 0.66796875, depth_loss: 0.05926702171564102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3976/10000 [9:27:22<19:35:56, 11.71s/it]
                                                         
{'loss': 1.9962, 'grad_norm': 2.492011785507202, 'learning_rate': 3.5223771849618695e-05, 'epoch': 0.04}

 40%|███▉      | 3976/10000 [9:27:22<19:35:56, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9343324303627014, dino_loss: 0.6875, depth_loss: 0.06391849368810654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9691605567932129, dino_loss: 0.73046875, depth_loss: 0.06848639994859695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3977/10000 [9:27:33<19:11:24, 11.47s/it]
                                                         
{'loss': 2.0991, 'grad_norm': 2.9679148197174072, 'learning_rate': 3.521622686840873e-05, 'epoch': 0.04}

 40%|███▉      | 3977/10000 [9:27:33<19:11:24, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.126455545425415, dino_loss: 0.71875, depth_loss: 0.07004138827323914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9380086660385132, dino_loss: 0.76171875, depth_loss: 0.06805961579084396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3978/10000 [9:27:44<18:50:10, 11.26s/it]
                                                         
{'loss': 2.307, 'grad_norm': 2.660597085952759, 'learning_rate': 3.520868076996755e-05, 'epoch': 0.04}

 40%|███▉      | 3978/10000 [9:27:44<18:50:10, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8083186149597168, dino_loss: 0.65625, depth_loss: 0.05701329559087753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7962331771850586, dino_loss: 0.71484375, depth_loss: 0.06556826829910278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3979/10000 [9:27:56<19:07:12, 11.43s/it]
                                                         
{'loss': 2.0296, 'grad_norm': 3.7205746173858643, 'learning_rate': 3.5201133555120384e-05, 'epoch': 0.04}

 40%|███▉      | 3979/10000 [9:27:56<19:07:12, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.79554283618927, dino_loss: 0.67578125, depth_loss: 0.06327961385250092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0580449104309082, dino_loss: 0.75, depth_loss: 0.0797564685344696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3980/10000 [9:28:08<19:36:19, 11.72s/it]
                                                         
{'loss': 2.4901, 'grad_norm': 3.716693162918091, 'learning_rate': 3.519358522469259e-05, 'epoch': 0.04}

 40%|███▉      | 3980/10000 [9:28:08<19:36:19, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6518645882606506, dino_loss: 0.6640625, depth_loss: 0.05152488499879837, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8049219846725464, dino_loss: 0.703125, depth_loss: 0.05993018299341202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3981/10000 [9:28:20<19:40:39, 11.77s/it]
                                                         
{'loss': 2.036, 'grad_norm': 3.995272159576416, 'learning_rate': 3.518603577950965e-05, 'epoch': 0.04}

 40%|███▉      | 3981/10000 [9:28:20<19:40:39, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0278055667877197, dino_loss: 0.6796875, depth_loss: 0.07290314137935638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7718446850776672, dino_loss: 0.71875, depth_loss: 0.06307241320610046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3982/10000 [9:28:32<19:36:06, 11.73s/it]
                                                         
{'loss': 2.0527, 'grad_norm': 4.684288024902344, 'learning_rate': 3.517848522039714e-05, 'epoch': 0.04}

 40%|███▉      | 3982/10000 [9:28:32<19:36:06, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7317572236061096, dino_loss: 0.65234375, depth_loss: 0.05559786409139633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7909961938858032, dino_loss: 0.6953125, depth_loss: 0.05146073177456856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3983/10000 [9:28:43<19:15:58, 11.53s/it]
                                                         
{'loss': 1.7455, 'grad_norm': 2.8305373191833496, 'learning_rate': 3.517093354818079e-05, 'epoch': 0.04}

 40%|███▉      | 3983/10000 [9:28:43<19:15:58, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.847946047782898, dino_loss: 0.65625, depth_loss: 0.04807525873184204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9408204555511475, dino_loss: 0.73046875, depth_loss: 0.06931893527507782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3984/10000 [9:28:54<19:14:20, 11.51s/it]
                                                         
{'loss': 2.0073, 'grad_norm': 2.676189422607422, 'learning_rate': 3.516338076368645e-05, 'epoch': 0.04}

 40%|███▉      | 3984/10000 [9:28:54<19:14:20, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8722515106201172, dino_loss: 0.68359375, depth_loss: 0.061147481203079224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8959361910820007, dino_loss: 0.7109375, depth_loss: 0.04856603220105171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3985/10000 [9:29:05<19:01:17, 11.38s/it]
                                                         
{'loss': 2.0838, 'grad_norm': 1.386322021484375, 'learning_rate': 3.515582686774007e-05, 'epoch': 0.04}

 40%|███▉      | 3985/10000 [9:29:05<19:01:17, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 2
seg_loss: 0.7180159091949463, dino_loss: 0.7421875, depth_loss: 0.07773469388484955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.88381028175354, dino_loss: 0.67578125, depth_loss: 0.05544497072696686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3986/10000 [9:29:17<19:02:33, 11.40s/it]
                                                         
{'loss': 2.1957, 'grad_norm': 3.314033031463623, 'learning_rate': 3.514827186116772e-05, 'epoch': 0.04}

 40%|███▉      | 3986/10000 [9:29:17<19:02:33, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8476396203041077, dino_loss: 0.65625, depth_loss: 0.05620041489601135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9498266577720642, dino_loss: 0.71484375, depth_loss: 0.04918639361858368, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3987/10000 [9:29:28<18:56:00, 11.34s/it]
                                                         
{'loss': 2.0637, 'grad_norm': 4.567304611206055, 'learning_rate': 3.514071574479563e-05, 'epoch': 0.04}

 40%|███▉      | 3987/10000 [9:29:28<18:56:00, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7979658246040344, dino_loss: 0.71484375, depth_loss: 0.07486872375011444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8057007193565369, dino_loss: 0.703125, depth_loss: 0.0683186948299408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3988/10000 [9:29:39<19:01:55, 11.40s/it]
                                                         
{'loss': 2.0254, 'grad_norm': 3.1293909549713135, 'learning_rate': 3.513315851945011e-05, 'epoch': 0.04}

 40%|███▉      | 3988/10000 [9:29:39<19:01:55, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8947007060050964, dino_loss: 0.734375, depth_loss: 0.06815560162067413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7354042530059814, dino_loss: 0.68359375, depth_loss: 0.07340625673532486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3989/10000 [9:29:51<19:10:08, 11.48s/it]
                                                         
{'loss': 2.0617, 'grad_norm': 2.329288959503174, 'learning_rate': 3.51256001859576e-05, 'epoch': 0.04}

 40%|███▉      | 3989/10000 [9:29:51<19:10:08, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9013321399688721, dino_loss: 0.69140625, depth_loss: 0.07698392122983932, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9694581031799316, dino_loss: 0.703125, depth_loss: 0.07085278630256653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3990/10000 [9:30:02<19:03:35, 11.42s/it]
                                                         
{'loss': 2.3205, 'grad_norm': 3.91239070892334, 'learning_rate': 3.511804074514468e-05, 'epoch': 0.04}

 40%|███▉      | 3990/10000 [9:30:02<19:03:35, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7721547484397888, dino_loss: 0.68359375, depth_loss: 0.07063128054141998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9248840808868408, dino_loss: 0.671875, depth_loss: 0.0562775693833828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3991/10000 [9:30:14<19:02:55, 11.41s/it]
                                                         
{'loss': 1.9809, 'grad_norm': 3.103496551513672, 'learning_rate': 3.5110480197838044e-05, 'epoch': 0.04}

 40%|███▉      | 3991/10000 [9:30:14<19:02:55, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9821655750274658, dino_loss: 0.74609375, depth_loss: 0.0706373080611229, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9655730724334717, dino_loss: 0.73828125, depth_loss: 0.05631626397371292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3992/10000 [9:30:26<19:26:22, 11.65s/it]
                                                         
{'loss': 2.408, 'grad_norm': 5.7185869216918945, 'learning_rate': 3.510291854486448e-05, 'epoch': 0.04}

 40%|███▉      | 3992/10000 [9:30:26<19:26:22, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7602813243865967, dino_loss: 0.60546875, depth_loss: 0.0399693101644516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.9215919971466064, dino_loss: 0.67578125, depth_loss: 0.06241665035486221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3993/10000 [9:30:39<19:58:38, 11.97s/it]
                                                         
{'loss': 2.1426, 'grad_norm': 2.101647138595581, 'learning_rate': 3.509535578705095e-05, 'epoch': 0.04}

 40%|███▉      | 3993/10000 [9:30:39<19:58:38, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7924574613571167, dino_loss: 0.69921875, depth_loss: 0.06131746247410774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8521579504013062, dino_loss: 0.7109375, depth_loss: 0.07618595659732819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3994/10000 [9:30:51<19:54:32, 11.93s/it]
                                                         
{'loss': 2.1469, 'grad_norm': 2.927654981613159, 'learning_rate': 3.508779192522449e-05, 'epoch': 0.04}

 40%|███▉      | 3994/10000 [9:30:51<19:54:32, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8503557443618774, dino_loss: 0.7578125, depth_loss: 0.06572361290454865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0587424039840698, dino_loss: 0.6796875, depth_loss: 0.0850447416305542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3995/10000 [9:31:02<19:38:36, 11.78s/it]
                                                         
{'loss': 2.1746, 'grad_norm': 3.417492628097534, 'learning_rate': 3.508022696021226e-05, 'epoch': 0.04}

 40%|███▉      | 3995/10000 [9:31:02<19:38:36, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0487902164459229, dino_loss: 0.703125, depth_loss: 0.06482022255659103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0280673503875732, dino_loss: 0.73046875, depth_loss: 0.06933730840682983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3996/10000 [9:31:13<19:30:53, 11.70s/it]
                                                         
{'loss': 2.5061, 'grad_norm': 2.51522159576416, 'learning_rate': 3.507266089284157e-05, 'epoch': 0.04}

 40%|███▉      | 3996/10000 [9:31:13<19:30:53, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8573654294013977, dino_loss: 0.67578125, depth_loss: 0.06162872537970543, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9630317687988281, dino_loss: 0.76953125, depth_loss: 0.07143394649028778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3997/10000 [9:31:26<19:44:15, 11.84s/it]
                                                         
{'loss': 2.5058, 'grad_norm': 3.1327297687530518, 'learning_rate': 3.506509372393983e-05, 'epoch': 0.04}

 40%|███▉      | 3997/10000 [9:31:26<19:44:15, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9488499164581299, dino_loss: 0.6953125, depth_loss: 0.06579218804836273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.915122389793396, dino_loss: 0.71484375, depth_loss: 0.06221567839384079, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3998/10000 [9:31:37<19:33:55, 11.74s/it]
                                                         
{'loss': 2.373, 'grad_norm': 2.802941083908081, 'learning_rate': 3.5057525454334564e-05, 'epoch': 0.04}

 40%|███▉      | 3998/10000 [9:31:37<19:33:55, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.044846534729004, dino_loss: 0.75, depth_loss: 0.06910069286823273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9477493762969971, dino_loss: 0.67578125, depth_loss: 0.05063653737306595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|███▉      | 3999/10000 [9:31:49<19:34:32, 11.74s/it]
                                                         
{'loss': 2.3063, 'grad_norm': 2.6871864795684814, 'learning_rate': 3.504995608485345e-05, 'epoch': 0.04}

 40%|███▉      | 3999/10000 [9:31:49<19:34:32, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9197983741760254, dino_loss: 0.6875, depth_loss: 0.06265560537576675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9332810044288635, dino_loss: 0.6875, depth_loss: 0.0771932601928711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4000/10000 [9:32:00<19:24:17, 11.64s/it]
                                                         
{'loss': 2.3776, 'grad_norm': 2.88045334815979, 'learning_rate': 3.504238561632424e-05, 'epoch': 0.04}

 40%|████      | 4000/10000 [9:32:00<19:24:17, 11.64s/it]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
/root/miniconda3/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
  warnings.warn(  # warn only once
/root/miniconda3/lib/python3.12/site-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7373366355895996, dino_loss: 0.62109375, depth_loss: 0.047677215188741684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8491724729537964, dino_loss: 0.703125, depth_loss: 0.05475834757089615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4001/10000 [9:33:33<60:03:11, 36.04s/it]
                                                         
{'loss': 1.8117, 'grad_norm': 2.3918638229370117, 'learning_rate': 3.5034814049574836e-05, 'epoch': 0.04}

 40%|████      | 4001/10000 [9:33:33<60:03:11, 36.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 0.6232317090034485, dino_loss: 0.67578125, depth_loss: 0.06303882598876953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0386189222335815, dino_loss: 0.71875, depth_loss: 0.06807440519332886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4002/10000 [9:33:44<47:25:02, 28.46s/it]
                                                         
{'loss': 1.5999, 'grad_norm': 1.8376168012619019, 'learning_rate': 3.5027241385433264e-05, 'epoch': 0.04}

 40%|████      | 4002/10000 [9:33:44<47:25:02, 28.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8228924870491028, dino_loss: 0.70703125, depth_loss: 0.05552934482693672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9094314575195312, dino_loss: 0.74609375, depth_loss: 0.07371024042367935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4003/10000 [9:33:55<38:52:56, 23.34s/it]
                                                         
{'loss': 1.9793, 'grad_norm': 2.5054986476898193, 'learning_rate': 3.501966762472764e-05, 'epoch': 0.04}

 40%|████      | 4003/10000 [9:33:55<38:52:56, 23.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8449043035507202, dino_loss: 0.7109375, depth_loss: 0.04909263551235199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8844815492630005, dino_loss: 0.71484375, depth_loss: 0.061055831611156464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4004/10000 [9:34:07<33:03:06, 19.84s/it]
                                                         
{'loss': 2.2423, 'grad_norm': 6.793008804321289, 'learning_rate': 3.501209276828623e-05, 'epoch': 0.04}

 40%|████      | 4004/10000 [9:34:07<33:03:06, 19.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7988907694816589, dino_loss: 0.71484375, depth_loss: 0.04797735810279846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8818385601043701, dino_loss: 0.66015625, depth_loss: 0.07997787743806839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4005/10000 [9:34:19<29:08:52, 17.50s/it]
                                                         
{'loss': 2.3615, 'grad_norm': 3.159755229949951, 'learning_rate': 3.500451681693741e-05, 'epoch': 0.04}

 40%|████      | 4005/10000 [9:34:19<29:08:52, 17.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8550200462341309, dino_loss: 0.69140625, depth_loss: 0.05709575116634369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.9731457233428955, dino_loss: 0.6484375, depth_loss: 0.0686657652258873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4006/10000 [9:34:31<26:10:05, 15.72s/it]
                                                         
{'loss': 1.8772, 'grad_norm': 3.5361804962158203, 'learning_rate': 3.499693977150967e-05, 'epoch': 0.04}

 40%|████      | 4006/10000 [9:34:31<26:10:05, 15.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.955426812171936, dino_loss: 0.6796875, depth_loss: 0.05339594930410385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7058899402618408, dino_loss: 0.60546875, depth_loss: 0.04667018726468086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4007/10000 [9:34:42<24:02:33, 14.44s/it]
                                                         
{'loss': 1.751, 'grad_norm': 2.5805976390838623, 'learning_rate': 3.498936163283163e-05, 'epoch': 0.04}

 40%|████      | 4007/10000 [9:34:42<24:02:33, 14.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8758645057678223, dino_loss: 0.65625, depth_loss: 0.06415767222642899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7915493845939636, dino_loss: 0.63671875, depth_loss: 0.061701662838459015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4008/10000 [9:34:55<23:23:48, 14.06s/it]
                                                         
{'loss': 2.5099, 'grad_norm': 1.9033652544021606, 'learning_rate': 3.498178240173202e-05, 'epoch': 0.04}

 40%|████      | 4008/10000 [9:34:55<23:23:48, 14.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8196090459823608, dino_loss: 0.734375, depth_loss: 0.06678380072116852, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.991888701915741, dino_loss: 0.7265625, depth_loss: 0.06956952810287476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4009/10000 [9:35:07<22:03:36, 13.26s/it]
                                                         
{'loss': 2.183, 'grad_norm': 4.479966640472412, 'learning_rate': 3.49742020790397e-05, 'epoch': 0.04}

 40%|████      | 4009/10000 [9:35:07<22:03:36, 13.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9017264246940613, dino_loss: 0.6796875, depth_loss: 0.05652641877532005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7645335793495178, dino_loss: 0.61328125, depth_loss: 0.042600370943546295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4010/10000 [9:35:19<21:25:59, 12.88s/it]
                                                         
{'loss': 2.0803, 'grad_norm': 3.138979196548462, 'learning_rate': 3.496662066558363e-05, 'epoch': 0.04}

 40%|████      | 4010/10000 [9:35:19<21:25:59, 12.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8309136629104614, dino_loss: 0.6328125, depth_loss: 0.06207534670829773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9997291564941406, dino_loss: 0.703125, depth_loss: 0.07933007180690765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4011/10000 [9:35:30<20:43:22, 12.46s/it]
                                                         
{'loss': 1.8994, 'grad_norm': 2.87601375579834, 'learning_rate': 3.495903816219291e-05, 'epoch': 0.04}

 40%|████      | 4011/10000 [9:35:30<20:43:22, 12.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9170941710472107, dino_loss: 0.75, depth_loss: 0.07149338722229004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9183751344680786, dino_loss: 0.703125, depth_loss: 0.059595316648483276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4012/10000 [9:35:43<20:48:35, 12.51s/it]
                                                         
{'loss': 2.5453, 'grad_norm': 3.0524110794067383, 'learning_rate': 3.495145456969675e-05, 'epoch': 0.04}

 40%|████      | 4012/10000 [9:35:43<20:48:35, 12.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.877616286277771, dino_loss: 0.70703125, depth_loss: 0.05734867602586746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8136531114578247, dino_loss: 0.69921875, depth_loss: 0.08524574339389801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4013/10000 [9:35:54<20:20:31, 12.23s/it]
                                                         
{'loss': 2.3165, 'grad_norm': 3.7922794818878174, 'learning_rate': 3.494386988892448e-05, 'epoch': 0.04}

 40%|████      | 4013/10000 [9:35:54<20:20:31, 12.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0376672744750977, dino_loss: 0.671875, depth_loss: 0.05980020388960838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8419189453125, dino_loss: 0.71484375, depth_loss: 0.05335087329149246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4014/10000 [9:36:06<19:51:24, 11.94s/it]
                                                         
{'loss': 2.3165, 'grad_norm': 3.5387918949127197, 'learning_rate': 3.4936284120705545e-05, 'epoch': 0.04}

 40%|████      | 4014/10000 [9:36:06<19:51:24, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.720285177230835, dino_loss: 0.64453125, depth_loss: 0.050084974616765976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9135779142379761, dino_loss: 0.6796875, depth_loss: 0.07634823769330978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4015/10000 [9:36:17<19:31:13, 11.74s/it]
                                                         
{'loss': 1.8181, 'grad_norm': 2.7174839973449707, 'learning_rate': 3.4928697265869515e-05, 'epoch': 0.04}

 40%|████      | 4015/10000 [9:36:17<19:31:13, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8909841775894165, dino_loss: 0.734375, depth_loss: 0.06465771049261093, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9128739237785339, dino_loss: 0.703125, depth_loss: 0.05328896641731262, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4016/10000 [9:36:28<19:21:18, 11.64s/it]
                                                         
{'loss': 2.0667, 'grad_norm': 2.5107855796813965, 'learning_rate': 3.492110932524609e-05, 'epoch': 0.04}

 40%|████      | 4016/10000 [9:36:28<19:21:18, 11.64s/it]the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.9382097721099854, dino_loss: 0.73828125, depth_loss: 0.06382358074188232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6050047874450684, dino_loss: 0.625, depth_loss: 0.05104876682162285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4017/10000 [9:36:40<19:23:05, 11.66s/it]
                                                         
{'loss': 1.5544, 'grad_norm': 3.708186149597168, 'learning_rate': 3.4913520299665056e-05, 'epoch': 0.04}

 40%|████      | 4017/10000 [9:36:40<19:23:05, 11.66s/it]the number of masks: 8
the number of masks: 1
the number of masks: 8
the number of masks: 8
seg_loss: 0.6405173540115356, dino_loss: 0.6953125, depth_loss: 0.053004190325737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7082775831222534, dino_loss: 0.66015625, depth_loss: 0.056450437754392624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4018/10000 [9:36:52<19:33:47, 11.77s/it]
                                                         
{'loss': 1.92, 'grad_norm': 2.326301336288452, 'learning_rate': 3.490593018995636e-05, 'epoch': 0.04}

 40%|████      | 4018/10000 [9:36:52<19:33:47, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052710771560669, dino_loss: 0.7265625, depth_loss: 0.07764897495508194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.94874107837677, dino_loss: 0.6953125, depth_loss: 0.0906345546245575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4019/10000 [9:37:04<19:32:03, 11.76s/it]
                                                         
{'loss': 2.3345, 'grad_norm': 2.4194884300231934, 'learning_rate': 3.489833899695002e-05, 'epoch': 0.04}

 40%|████      | 4019/10000 [9:37:04<19:32:03, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9218347072601318, dino_loss: 0.640625, depth_loss: 0.05935390293598175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.815137505531311, dino_loss: 0.65234375, depth_loss: 0.057266220450401306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4020/10000 [9:37:15<19:17:46, 11.62s/it]
                                                         
{'loss': 2.2726, 'grad_norm': 2.977360725402832, 'learning_rate': 3.489074672147621e-05, 'epoch': 0.04}

 40%|████      | 4020/10000 [9:37:15<19:17:46, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6526922583580017, dino_loss: 0.72265625, depth_loss: 0.05688082426786423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8737582564353943, dino_loss: 0.69140625, depth_loss: 0.07702900469303131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4021/10000 [9:37:27<19:20:48, 11.65s/it]
                                                         
{'loss': 1.7762, 'grad_norm': 6.784822463989258, 'learning_rate': 3.488315336436521e-05, 'epoch': 0.04}

 40%|████      | 4021/10000 [9:37:27<19:20:48, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9943704605102539, dino_loss: 0.703125, depth_loss: 0.05413234233856201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8772189617156982, dino_loss: 0.6640625, depth_loss: 0.04415459185838699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4022/10000 [9:37:39<19:38:30, 11.83s/it]
                                                         
{'loss': 2.5252, 'grad_norm': 2.6908490657806396, 'learning_rate': 3.487555892644742e-05, 'epoch': 0.04}

 40%|████      | 4022/10000 [9:37:39<19:38:30, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.916939377784729, dino_loss: 0.7109375, depth_loss: 0.07641574740409851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0821080207824707, dino_loss: 0.72265625, depth_loss: 0.07022206485271454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4023/10000 [9:37:51<19:28:50, 11.73s/it]
                                                         
{'loss': 2.4349, 'grad_norm': 3.4880001544952393, 'learning_rate': 3.486796340855335e-05, 'epoch': 0.04}

 40%|████      | 4023/10000 [9:37:51<19:28:50, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6726299524307251, dino_loss: 0.61328125, depth_loss: 0.049183983355760574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8275185227394104, dino_loss: 0.6484375, depth_loss: 0.04781004786491394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4024/10000 [9:38:03<19:35:49, 11.81s/it]
                                                         
{'loss': 1.6387, 'grad_norm': 2.371725559234619, 'learning_rate': 3.486036681151365e-05, 'epoch': 0.04}

 40%|████      | 4024/10000 [9:38:03<19:35:49, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7943170070648193, dino_loss: 0.68359375, depth_loss: 0.06553880125284195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8515983819961548, dino_loss: 0.68359375, depth_loss: 0.0598270520567894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4025/10000 [9:38:15<19:41:50, 11.87s/it]
                                                         
{'loss': 2.3395, 'grad_norm': 2.801283597946167, 'learning_rate': 3.485276913615905e-05, 'epoch': 0.04}

 40%|████      | 4025/10000 [9:38:15<19:41:50, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.860587477684021, dino_loss: 0.69921875, depth_loss: 0.04348575323820114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.817023515701294, dino_loss: 0.734375, depth_loss: 0.062035586684942245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4026/10000 [9:38:27<19:55:59, 12.01s/it]
                                                         
{'loss': 2.5188, 'grad_norm': 5.790397644042969, 'learning_rate': 3.4845170383320424e-05, 'epoch': 0.04}

 40%|████      | 4026/10000 [9:38:27<19:55:59, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8961498737335205, dino_loss: 0.8046875, depth_loss: 0.06783299148082733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9563757181167603, dino_loss: 0.67578125, depth_loss: 0.0697549432516098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4027/10000 [9:38:38<19:39:04, 11.84s/it]
                                                         
{'loss': 2.2906, 'grad_norm': 3.232621431350708, 'learning_rate': 3.483757055382878e-05, 'epoch': 0.04}

 40%|████      | 4027/10000 [9:38:38<19:39:04, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7377753257751465, dino_loss: 0.6875, depth_loss: 0.05314086377620697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.015358805656433, dino_loss: 0.69140625, depth_loss: 0.07217618077993393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4028/10000 [9:38:50<19:32:45, 11.78s/it]
                                                         
{'loss': 2.2123, 'grad_norm': 2.6695809364318848, 'learning_rate': 3.4829969648515196e-05, 'epoch': 0.04}

 40%|████      | 4028/10000 [9:38:50<19:32:45, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6650801301002502, dino_loss: 0.6875, depth_loss: 0.05128982663154602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9388309717178345, dino_loss: 0.703125, depth_loss: 0.06169606000185013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4029/10000 [9:39:02<19:28:35, 11.74s/it]
                                                         
{'loss': 2.3582, 'grad_norm': 3.730755090713501, 'learning_rate': 3.4822367668210926e-05, 'epoch': 0.04}

 40%|████      | 4029/10000 [9:39:02<19:28:35, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9597753882408142, dino_loss: 0.71875, depth_loss: 0.07071439921855927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8252496123313904, dino_loss: 0.66796875, depth_loss: 0.06305034458637238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4030/10000 [9:39:13<19:09:01, 11.55s/it]
                                                         
{'loss': 1.8729, 'grad_norm': 5.371387004852295, 'learning_rate': 3.4814764613747286e-05, 'epoch': 0.04}

 40%|████      | 4030/10000 [9:39:13<19:09:01, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8404136300086975, dino_loss: 0.74609375, depth_loss: 0.06726737320423126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9708561897277832, dino_loss: 0.671875, depth_loss: 0.0710773766040802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4031/10000 [9:39:24<19:04:28, 11.50s/it]
                                                         
{'loss': 2.3089, 'grad_norm': 3.8718955516815186, 'learning_rate': 3.480716048595575e-05, 'epoch': 0.04}

 40%|████      | 4031/10000 [9:39:24<19:04:28, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9754353761672974, dino_loss: 0.72265625, depth_loss: 0.06792625784873962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9563660621643066, dino_loss: 0.7734375, depth_loss: 0.07308631390333176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4032/10000 [9:39:35<18:55:52, 11.42s/it]
                                                         
{'loss': 2.3529, 'grad_norm': 3.8920185565948486, 'learning_rate': 3.479955528566789e-05, 'epoch': 0.04}

 40%|████      | 4032/10000 [9:39:35<18:55:52, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7851308584213257, dino_loss: 0.6953125, depth_loss: 0.05098128318786621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8790148496627808, dino_loss: 0.7109375, depth_loss: 0.06752995401620865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4033/10000 [9:39:46<18:45:06, 11.31s/it]
                                                         
{'loss': 1.9301, 'grad_norm': 2.209261655807495, 'learning_rate': 3.479194901371538e-05, 'epoch': 0.04}

 40%|████      | 4033/10000 [9:39:46<18:45:06, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8582510352134705, dino_loss: 0.7578125, depth_loss: 0.06262229382991791, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.738402247428894, dino_loss: 0.6796875, depth_loss: 0.05280261114239693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4034/10000 [9:39:58<18:51:52, 11.38s/it]
                                                         
{'loss': 2.184, 'grad_norm': 5.1104207038879395, 'learning_rate': 3.4784341670930065e-05, 'epoch': 0.04}

 40%|████      | 4034/10000 [9:39:58<18:51:52, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.6950149536132812, dino_loss: 0.63671875, depth_loss: 0.05428065359592438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9935004711151123, dino_loss: 0.6953125, depth_loss: 0.05042160302400589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4035/10000 [9:40:10<19:22:25, 11.69s/it]
                                                         
{'loss': 2.4181, 'grad_norm': 7.364703178405762, 'learning_rate': 3.4776733258143854e-05, 'epoch': 0.04}

 40%|████      | 4035/10000 [9:40:10<19:22:25, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.641803503036499, dino_loss: 0.72265625, depth_loss: 0.061152391135692596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1015124320983887, dino_loss: 0.73046875, depth_loss: 0.0628400593996048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4036/10000 [9:40:22<19:31:28, 11.79s/it]
                                                         
{'loss': 2.242, 'grad_norm': 5.466034412384033, 'learning_rate': 3.476912377618878e-05, 'epoch': 0.04}

 40%|████      | 4036/10000 [9:40:22<19:31:28, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9030118584632874, dino_loss: 0.73046875, depth_loss: 0.058554522693157196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8049437999725342, dino_loss: 0.72265625, depth_loss: 0.06153818219900131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4037/10000 [9:40:34<19:34:35, 11.82s/it]
                                                         
{'loss': 2.2011, 'grad_norm': 2.1104507446289062, 'learning_rate': 3.476151322589704e-05, 'epoch': 0.04}

 40%|████      | 4037/10000 [9:40:34<19:34:35, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8048533797264099, dino_loss: 0.69140625, depth_loss: 0.05859195441007614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8824256658554077, dino_loss: 0.69921875, depth_loss: 0.06839518249034882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4038/10000 [9:40:46<19:32:09, 11.80s/it]
                                                         
{'loss': 1.8989, 'grad_norm': 2.912104368209839, 'learning_rate': 3.475390160810087e-05, 'epoch': 0.04}

 40%|████      | 4038/10000 [9:40:46<19:32:09, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7586702108383179, dino_loss: 0.73046875, depth_loss: 0.0634513646364212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9111016392707825, dino_loss: 0.70703125, depth_loss: 0.055029381066560745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4039/10000 [9:40:58<19:43:40, 11.91s/it]
                                                         
{'loss': 2.5414, 'grad_norm': 3.3401644229888916, 'learning_rate': 3.4746288923632695e-05, 'epoch': 0.04}

 40%|████      | 4039/10000 [9:40:58<19:43:40, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8290066719055176, dino_loss: 0.73828125, depth_loss: 0.07298248261213303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8622720837593079, dino_loss: 0.70703125, depth_loss: 0.06591806560754776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4040/10000 [9:41:10<19:41:03, 11.89s/it]
                                                         
{'loss': 2.3268, 'grad_norm': 7.493204593658447, 'learning_rate': 3.473867517332501e-05, 'epoch': 0.04}

 40%|████      | 4040/10000 [9:41:10<19:41:03, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 6
seg_loss: 0.9526805877685547, dino_loss: 0.72265625, depth_loss: 0.05871069058775902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8238549828529358, dino_loss: 0.6328125, depth_loss: 0.06259877979755402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4041/10000 [9:41:22<19:27:21, 11.75s/it]
                                                         
{'loss': 2.1043, 'grad_norm': 3.7765140533447266, 'learning_rate': 3.473106035801045e-05, 'epoch': 0.04}

 40%|████      | 4041/10000 [9:41:22<19:27:21, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9247394800186157, dino_loss: 0.7265625, depth_loss: 0.07283984124660492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.872999370098114, dino_loss: 0.68359375, depth_loss: 0.06448423862457275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4042/10000 [9:41:33<19:23:16, 11.71s/it]
                                                         
{'loss': 2.2123, 'grad_norm': 2.5455706119537354, 'learning_rate': 3.4723444478521764e-05, 'epoch': 0.04}

 40%|████      | 4042/10000 [9:41:33<19:23:16, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0295847654342651, dino_loss: 0.67578125, depth_loss: 0.05845610424876213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9740917086601257, dino_loss: 0.70703125, depth_loss: 0.055927716195583344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4043/10000 [9:41:45<19:22:54, 11.71s/it]
                                                         
{'loss': 2.199, 'grad_norm': 4.907833576202393, 'learning_rate': 3.47158275356918e-05, 'epoch': 0.04}

 40%|████      | 4043/10000 [9:41:45<19:22:54, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8315759897232056, dino_loss: 0.64453125, depth_loss: 0.0561172254383564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9448151588439941, dino_loss: 0.67578125, depth_loss: 0.059017665684223175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4044/10000 [9:41:56<19:17:23, 11.66s/it]
                                                         
{'loss': 1.9354, 'grad_norm': 2.0221266746520996, 'learning_rate': 3.470820953035356e-05, 'epoch': 0.04}

 40%|████      | 4044/10000 [9:41:56<19:17:23, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9285534024238586, dino_loss: 0.65625, depth_loss: 0.0459711067378521, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8451961874961853, dino_loss: 0.68359375, depth_loss: 0.06592094898223877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4045/10000 [9:42:07<18:59:00, 11.48s/it]
                                                         
{'loss': 1.8389, 'grad_norm': 3.0723609924316406, 'learning_rate': 3.470059046334011e-05, 'epoch': 0.04}

 40%|████      | 4045/10000 [9:42:07<18:59:00, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8961197137832642, dino_loss: 0.74609375, depth_loss: 0.08233457058668137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.3362129926681519, dino_loss: 0.6875, depth_loss: 0.06862199306488037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4046/10000 [9:42:19<18:58:12, 11.47s/it]
                                                         
{'loss': 2.479, 'grad_norm': 5.070559978485107, 'learning_rate': 3.469297033548468e-05, 'epoch': 0.04}

 40%|████      | 4046/10000 [9:42:19<18:58:12, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6710880994796753, dino_loss: 0.60546875, depth_loss: 0.04721452295780182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8689894080162048, dino_loss: 0.6953125, depth_loss: 0.057370610535144806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4047/10000 [9:42:32<19:36:19, 11.86s/it]
                                                         
{'loss': 2.3957, 'grad_norm': 4.5344038009643555, 'learning_rate': 3.468534914762058e-05, 'epoch': 0.04}

 40%|████      | 4047/10000 [9:42:32<19:36:19, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9502216577529907, dino_loss: 0.69140625, depth_loss: 0.0741337314248085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8884787559509277, dino_loss: 0.66796875, depth_loss: 0.07358072698116302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4048/10000 [9:42:43<19:25:56, 11.75s/it]
                                                         
{'loss': 2.5155, 'grad_norm': 2.9133660793304443, 'learning_rate': 3.4677726900581265e-05, 'epoch': 0.04}

 40%|████      | 4048/10000 [9:42:43<19:25:56, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9803293347358704, dino_loss: 0.69140625, depth_loss: 0.07675427198410034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7749231457710266, dino_loss: 0.69921875, depth_loss: 0.06208229437470436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4049/10000 [9:42:55<19:32:35, 11.82s/it]
                                                         
{'loss': 2.217, 'grad_norm': 4.5918660163879395, 'learning_rate': 3.467010359520028e-05, 'epoch': 0.04}

 40%|████      | 4049/10000 [9:42:55<19:32:35, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.761267900466919, dino_loss: 0.64453125, depth_loss: 0.0526919811964035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6902468800544739, dino_loss: 0.70703125, depth_loss: 0.052427805960178375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 40%|████      | 4050/10000 [9:43:07<19:47:26, 11.97s/it]
                                                         
{'loss': 1.9576, 'grad_norm': 17.822364807128906, 'learning_rate': 3.4662479232311306e-05, 'epoch': 0.04}

 40%|████      | 4050/10000 [9:43:07<19:47:26, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8717533349990845, dino_loss: 0.6640625, depth_loss: 0.05924656242132187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.8629448413848877, dino_loss: 0.703125, depth_loss: 0.053047869354486465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4051/10000 [9:43:19<19:34:24, 11.84s/it]
                                                         
{'loss': 2.2947, 'grad_norm': 2.731257200241089, 'learning_rate': 3.465485381274814e-05, 'epoch': 0.04}

 41%|████      | 4051/10000 [9:43:19<19:34:24, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9283945560455322, dino_loss: 0.6796875, depth_loss: 0.05119582265615463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8961764574050903, dino_loss: 0.67578125, depth_loss: 0.06513254344463348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4052/10000 [9:43:30<19:22:15, 11.72s/it]
                                                         
{'loss': 2.0447, 'grad_norm': 3.2439653873443604, 'learning_rate': 3.4647227337344664e-05, 'epoch': 0.04}

 41%|████      | 4052/10000 [9:43:30<19:22:15, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8764141798019409, dino_loss: 0.703125, depth_loss: 0.05831282585859299, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8052048683166504, dino_loss: 0.74609375, depth_loss: 0.05616056174039841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4053/10000 [9:43:42<19:25:42, 11.76s/it]
                                                         
{'loss': 2.307, 'grad_norm': 2.992224931716919, 'learning_rate': 3.463959980693492e-05, 'epoch': 0.04}

 41%|████      | 4053/10000 [9:43:42<19:25:42, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9199050068855286, dino_loss: 0.73046875, depth_loss: 0.06860292702913284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9659767150878906, dino_loss: 0.73046875, depth_loss: 0.0642993152141571, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4054/10000 [9:43:54<19:20:43, 11.71s/it]
                                                         
{'loss': 2.1955, 'grad_norm': 2.7362473011016846, 'learning_rate': 3.4631971222353024e-05, 'epoch': 0.04}

 41%|████      | 4054/10000 [9:43:54<19:20:43, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9184114933013916, dino_loss: 0.6875, depth_loss: 0.07631292194128036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0229058265686035, dino_loss: 0.68359375, depth_loss: 0.06932064145803452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4055/10000 [9:44:06<19:31:48, 11.83s/it]
                                                         
{'loss': 2.6155, 'grad_norm': 3.2023439407348633, 'learning_rate': 3.4624341584433244e-05, 'epoch': 0.04}

 41%|████      | 4055/10000 [9:44:06<19:31:48, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9778125882148743, dino_loss: 0.6875, depth_loss: 0.056971900165081024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9551025032997131, dino_loss: 0.71875, depth_loss: 0.06142563372850418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4056/10000 [9:44:18<19:47:55, 11.99s/it]
                                                         
{'loss': 2.6722, 'grad_norm': 1.9465819597244263, 'learning_rate': 3.461671089400994e-05, 'epoch': 0.04}

 41%|████      | 4056/10000 [9:44:18<19:47:55, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.877632737159729, dino_loss: 0.69921875, depth_loss: 0.0531901940703392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8609598278999329, dino_loss: 0.703125, depth_loss: 0.06041618436574936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4057/10000 [9:44:30<19:40:14, 11.92s/it]
                                                         
{'loss': 2.1778, 'grad_norm': 1.5223456621170044, 'learning_rate': 3.460907915191759e-05, 'epoch': 0.04}

 41%|████      | 4057/10000 [9:44:30<19:40:14, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8176274299621582, dino_loss: 0.6953125, depth_loss: 0.05436426401138306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8155361413955688, dino_loss: 0.68359375, depth_loss: 0.07003427296876907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4058/10000 [9:44:42<19:38:13, 11.90s/it]
                                                         
{'loss': 1.9347, 'grad_norm': 4.468044281005859, 'learning_rate': 3.460144635899079e-05, 'epoch': 0.04}

 41%|████      | 4058/10000 [9:44:42<19:38:13, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8231271505355835, dino_loss: 0.65625, depth_loss: 0.0469912551343441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8359235525131226, dino_loss: 0.703125, depth_loss: 0.05597604438662529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4059/10000 [9:44:54<19:30:36, 11.82s/it]
                                                         
{'loss': 1.7036, 'grad_norm': 12.103440284729004, 'learning_rate': 3.459381251606424e-05, 'epoch': 0.04}

 41%|████      | 4059/10000 [9:44:54<19:30:36, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.981742262840271, dino_loss: 0.67578125, depth_loss: 0.06958882510662079, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.951938807964325, dino_loss: 0.6640625, depth_loss: 0.06666043400764465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4060/10000 [9:45:05<19:24:06, 11.76s/it]
                                                         
{'loss': 2.2958, 'grad_norm': 3.9380621910095215, 'learning_rate': 3.458617762397279e-05, 'epoch': 0.04}

 41%|████      | 4060/10000 [9:45:05<19:24:06, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.927947998046875, dino_loss: 0.71484375, depth_loss: 0.0682278424501419, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7004594206809998, dino_loss: 0.66796875, depth_loss: 0.0546172559261322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4061/10000 [9:45:17<19:17:10, 11.69s/it]
                                                         
{'loss': 2.2007, 'grad_norm': 4.039039611816406, 'learning_rate': 3.457854168355137e-05, 'epoch': 0.04}

 41%|████      | 4061/10000 [9:45:17<19:17:10, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9166057705879211, dino_loss: 0.66015625, depth_loss: 0.0828513503074646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8419550657272339, dino_loss: 0.6796875, depth_loss: 0.0649758130311966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4062/10000 [9:45:28<18:53:25, 11.45s/it]
                                                         
{'loss': 2.0311, 'grad_norm': 2.4036176204681396, 'learning_rate': 3.4570904695635026e-05, 'epoch': 0.04}

 41%|████      | 4062/10000 [9:45:28<18:53:25, 11.45s/it]the number of masks: 1
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7182543277740479, dino_loss: 0.6953125, depth_loss: 0.056676965206861496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.003037929534912, dino_loss: 0.6953125, depth_loss: 0.05506071448326111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4063/10000 [9:45:40<19:09:28, 11.62s/it]
                                                         
{'loss': 2.3875, 'grad_norm': 2.6629185676574707, 'learning_rate': 3.456326666105894e-05, 'epoch': 0.04}

 41%|████      | 4063/10000 [9:45:40<19:09:28, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8041839003562927, dino_loss: 0.69140625, depth_loss: 0.05881752818822861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.711083173751831, dino_loss: 0.625, depth_loss: 0.058168817311525345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4064/10000 [9:45:52<19:20:32, 11.73s/it]
                                                         
{'loss': 2.2282, 'grad_norm': 1.6093254089355469, 'learning_rate': 3.4555627580658384e-05, 'epoch': 0.04}

 41%|████      | 4064/10000 [9:45:52<19:20:32, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9088867902755737, dino_loss: 0.65234375, depth_loss: 0.057320814579725266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9606870412826538, dino_loss: 0.71484375, depth_loss: 0.08858834207057953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4065/10000 [9:46:04<19:33:20, 11.86s/it]
                                                         
{'loss': 2.1355, 'grad_norm': 2.7007479667663574, 'learning_rate': 3.454798745526876e-05, 'epoch': 0.04}

 41%|████      | 4065/10000 [9:46:04<19:33:20, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6881656050682068, dino_loss: 0.734375, depth_loss: 0.06794658303260803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7517884969711304, dino_loss: 0.66015625, depth_loss: 0.060552485287189484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4066/10000 [9:46:16<19:37:04, 11.90s/it]
                                                         
{'loss': 2.3135, 'grad_norm': 3.5526280403137207, 'learning_rate': 3.454034628572559e-05, 'epoch': 0.04}

 41%|████      | 4066/10000 [9:46:16<19:37:04, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9158501625061035, dino_loss: 0.69921875, depth_loss: 0.06650634109973907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9957200288772583, dino_loss: 0.71484375, depth_loss: 0.06264649331569672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4067/10000 [9:46:28<19:33:19, 11.87s/it]
                                                         
{'loss': 2.4403, 'grad_norm': 3.3928444385528564, 'learning_rate': 3.45327040728645e-05, 'epoch': 0.04}

 41%|████      | 4067/10000 [9:46:28<19:33:19, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9254492521286011, dino_loss: 0.6640625, depth_loss: 0.05402525141835213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.756199300289154, dino_loss: 0.61328125, depth_loss: 0.05820102244615555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4068/10000 [9:46:39<19:19:24, 11.73s/it]
                                                         
{'loss': 2.1126, 'grad_norm': 2.415529251098633, 'learning_rate': 3.4525060817521204e-05, 'epoch': 0.04}

 41%|████      | 4068/10000 [9:46:39<19:19:24, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7488417029380798, dino_loss: 0.703125, depth_loss: 0.060520801693201065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8149218559265137, dino_loss: 0.63671875, depth_loss: 0.06485221534967422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4069/10000 [9:46:51<19:19:04, 11.73s/it]
                                                         
{'loss': 1.9086, 'grad_norm': 3.197421073913574, 'learning_rate': 3.4517416520531595e-05, 'epoch': 0.04}

 41%|████      | 4069/10000 [9:46:51<19:19:04, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7833144664764404, dino_loss: 0.671875, depth_loss: 0.06806933134794235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8843854665756226, dino_loss: 0.7421875, depth_loss: 0.06165551394224167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4070/10000 [9:47:02<19:10:27, 11.64s/it]
                                                         
{'loss': 2.3842, 'grad_norm': 5.188098430633545, 'learning_rate': 3.450977118273162e-05, 'epoch': 0.04}

 41%|████      | 4070/10000 [9:47:02<19:10:27, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8983118534088135, dino_loss: 0.69140625, depth_loss: 0.05629909038543701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8931701183319092, dino_loss: 0.70703125, depth_loss: 0.05889144539833069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4071/10000 [9:47:14<19:17:57, 11.72s/it]
                                                         
{'loss': 2.7253, 'grad_norm': 2.4053807258605957, 'learning_rate': 3.450212480495737e-05, 'epoch': 0.04}

 41%|████      | 4071/10000 [9:47:14<19:17:57, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8322741389274597, dino_loss: 0.75, depth_loss: 0.07737734913825989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7882428169250488, dino_loss: 0.6953125, depth_loss: 0.05969180166721344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4072/10000 [9:47:25<19:07:17, 11.61s/it]
                                                         
{'loss': 2.049, 'grad_norm': 3.329383611679077, 'learning_rate': 3.4494477388045035e-05, 'epoch': 0.04}

 41%|████      | 4072/10000 [9:47:25<19:07:17, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8193565607070923, dino_loss: 0.6796875, depth_loss: 0.06935136020183563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9057478904724121, dino_loss: 0.6640625, depth_loss: 0.06717360019683838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4073/10000 [9:47:37<18:59:27, 11.53s/it]
                                                         
{'loss': 2.1719, 'grad_norm': 1.6372860670089722, 'learning_rate': 3.448682893283092e-05, 'epoch': 0.04}

 41%|████      | 4073/10000 [9:47:37<18:59:27, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8571351766586304, dino_loss: 0.6640625, depth_loss: 0.053981442004442215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8940336108207703, dino_loss: 0.7265625, depth_loss: 0.07837110012769699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4074/10000 [9:47:48<19:00:15, 11.54s/it]
                                                         
{'loss': 1.939, 'grad_norm': 4.356311798095703, 'learning_rate': 3.447917944015146e-05, 'epoch': 0.04}

 41%|████      | 4074/10000 [9:47:48<19:00:15, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7986710071563721, dino_loss: 0.71875, depth_loss: 0.059478774666786194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7117702960968018, dino_loss: 0.73828125, depth_loss: 0.06336621940135956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4075/10000 [9:48:00<18:58:17, 11.53s/it]
                                                         
{'loss': 1.829, 'grad_norm': 3.308495044708252, 'learning_rate': 3.447152891084319e-05, 'epoch': 0.04}

 41%|████      | 4075/10000 [9:48:00<18:58:17, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9162886142730713, dino_loss: 0.6015625, depth_loss: 0.04715121537446976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8027274012565613, dino_loss: 0.74609375, depth_loss: 0.072884202003479, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4076/10000 [9:48:12<19:04:50, 11.60s/it]
                                                         
{'loss': 1.7447, 'grad_norm': 3.91033673286438, 'learning_rate': 3.4463877345742767e-05, 'epoch': 0.04}

 41%|████      | 4076/10000 [9:48:12<19:04:50, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0738428831100464, dino_loss: 0.76171875, depth_loss: 0.05652174353599548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9150416851043701, dino_loss: 0.68359375, depth_loss: 0.0660814493894577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4077/10000 [9:48:24<19:14:29, 11.70s/it]
                                                         
{'loss': 2.2357, 'grad_norm': 3.1973049640655518, 'learning_rate': 3.4456224745686935e-05, 'epoch': 0.04}

 41%|████      | 4077/10000 [9:48:24<19:14:29, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9185585975646973, dino_loss: 0.6796875, depth_loss: 0.059652309864759445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8565549850463867, dino_loss: 0.71484375, depth_loss: 0.07667329162359238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4078/10000 [9:48:35<19:16:20, 11.72s/it]
                                                         
{'loss': 2.4414, 'grad_norm': 2.103635311126709, 'learning_rate': 3.444857111151259e-05, 'epoch': 0.04}

 41%|████      | 4078/10000 [9:48:35<19:16:20, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8001123070716858, dino_loss: 0.61328125, depth_loss: 0.050136715173721313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2188690900802612, dino_loss: 0.6015625, depth_loss: 0.049889907240867615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4079/10000 [9:48:48<19:35:30, 11.91s/it]
                                                         
{'loss': 2.3685, 'grad_norm': 2.8639426231384277, 'learning_rate': 3.4440916444056705e-05, 'epoch': 0.04}

 41%|████      | 4079/10000 [9:48:48<19:35:30, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7559755444526672, dino_loss: 0.6640625, depth_loss: 0.06498011201620102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7668733596801758, dino_loss: 0.69921875, depth_loss: 0.05837603658437729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4080/10000 [9:48:59<19:27:23, 11.83s/it]
                                                         
{'loss': 2.1833, 'grad_norm': 2.402637004852295, 'learning_rate': 3.4433260744156396e-05, 'epoch': 0.04}

 41%|████      | 4080/10000 [9:48:59<19:27:23, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7163187265396118, dino_loss: 0.65625, depth_loss: 0.06550824642181396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.764278769493103, dino_loss: 0.6640625, depth_loss: 0.06271062791347504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4081/10000 [9:49:11<19:14:55, 11.71s/it]
                                                         
{'loss': 1.6671, 'grad_norm': 2.0387284755706787, 'learning_rate': 3.4425604012648874e-05, 'epoch': 0.04}

 41%|████      | 4081/10000 [9:49:11<19:14:55, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8396779298782349, dino_loss: 0.69921875, depth_loss: 0.04423019662499428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6903045177459717, dino_loss: 0.66015625, depth_loss: 0.05440889298915863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4082/10000 [9:49:22<19:03:15, 11.59s/it]
                                                         
{'loss': 1.8599, 'grad_norm': 3.433450937271118, 'learning_rate': 3.441794625037147e-05, 'epoch': 0.04}

 41%|████      | 4082/10000 [9:49:22<19:03:15, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9163451194763184, dino_loss: 0.7109375, depth_loss: 0.06869243085384369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.724543571472168, dino_loss: 0.7265625, depth_loss: 0.06537051498889923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4083/10000 [9:49:34<19:03:32, 11.60s/it]
                                                         
{'loss': 2.19, 'grad_norm': 3.858539342880249, 'learning_rate': 3.441028745816163e-05, 'epoch': 0.04}

 41%|████      | 4083/10000 [9:49:34<19:03:32, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8793507814407349, dino_loss: 0.67578125, depth_loss: 0.05962858349084854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9489396214485168, dino_loss: 0.72265625, depth_loss: 0.05237654224038124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4084/10000 [9:49:45<19:10:26, 11.67s/it]
                                                         
{'loss': 2.4431, 'grad_norm': 6.199225902557373, 'learning_rate': 3.440262763685689e-05, 'epoch': 0.04}

 41%|████      | 4084/10000 [9:49:45<19:10:26, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.832268238067627, dino_loss: 0.7109375, depth_loss: 0.06029188632965088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8467642664909363, dino_loss: 0.625, depth_loss: 0.07222772389650345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4085/10000 [9:49:57<19:01:16, 11.58s/it]
                                                         
{'loss': 1.7, 'grad_norm': 5.5586771965026855, 'learning_rate': 3.439496678729493e-05, 'epoch': 0.04}

 41%|████      | 4085/10000 [9:49:57<19:01:16, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8883317708969116, dino_loss: 0.6875, depth_loss: 0.057628076523542404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9891297817230225, dino_loss: 0.7265625, depth_loss: 0.07754737138748169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4086/10000 [9:50:08<18:58:33, 11.55s/it]
                                                         
{'loss': 2.5, 'grad_norm': 3.5227110385894775, 'learning_rate': 3.438730491031353e-05, 'epoch': 0.04}

 41%|████      | 4086/10000 [9:50:08<18:58:33, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592026829719543, dino_loss: 0.66796875, depth_loss: 0.05722492188215256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7093527913093567, dino_loss: 0.69140625, depth_loss: 0.04621181637048721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4087/10000 [9:50:20<18:54:43, 11.51s/it]
                                                         
{'loss': 2.1033, 'grad_norm': 4.793008327484131, 'learning_rate': 3.437964200675058e-05, 'epoch': 0.04}

 41%|████      | 4087/10000 [9:50:20<18:54:43, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0364069938659668, dino_loss: 0.640625, depth_loss: 0.06484737992286682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8164445161819458, dino_loss: 0.64453125, depth_loss: 0.04824167117476463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4088/10000 [9:50:32<19:12:37, 11.70s/it]
                                                         
{'loss': 2.2263, 'grad_norm': 2.2324182987213135, 'learning_rate': 3.4371978077444075e-05, 'epoch': 0.04}

 41%|████      | 4088/10000 [9:50:32<19:12:37, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7888495922088623, dino_loss: 0.625, depth_loss: 0.051457930356264114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7847194671630859, dino_loss: 0.7109375, depth_loss: 0.06783750653266907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4089/10000 [9:50:44<19:11:59, 11.69s/it]
                                                         
{'loss': 1.9632, 'grad_norm': 3.0769262313842773, 'learning_rate': 3.436431312323215e-05, 'epoch': 0.04}

 41%|████      | 4089/10000 [9:50:44<19:11:59, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7960234880447388, dino_loss: 0.6953125, depth_loss: 0.04914252460002899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8615919351577759, dino_loss: 0.703125, depth_loss: 0.05985160917043686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4090/10000 [9:50:55<19:10:25, 11.68s/it]
                                                         
{'loss': 2.0028, 'grad_norm': 6.096663951873779, 'learning_rate': 3.435664714495301e-05, 'epoch': 0.04}

 41%|████      | 4090/10000 [9:50:55<19:10:25, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0245643854141235, dino_loss: 0.75390625, depth_loss: 0.07351114600896835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8231801390647888, dino_loss: 0.70703125, depth_loss: 0.06840790808200836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4091/10000 [9:51:07<19:16:23, 11.74s/it]
                                                         
{'loss': 2.3513, 'grad_norm': 5.068746089935303, 'learning_rate': 3.434898014344501e-05, 'epoch': 0.04}

 41%|████      | 4091/10000 [9:51:07<19:16:23, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8244113922119141, dino_loss: 0.6953125, depth_loss: 0.07197460532188416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7908511757850647, dino_loss: 0.69140625, depth_loss: 0.061614613980054855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4092/10000 [9:51:19<19:11:32, 11.69s/it]
                                                         
{'loss': 2.1402, 'grad_norm': 3.0394723415374756, 'learning_rate': 3.43413121195466e-05, 'epoch': 0.04}

 41%|████      | 4092/10000 [9:51:19<19:11:32, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8932055234909058, dino_loss: 0.7265625, depth_loss: 0.06411978602409363, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8652200698852539, dino_loss: 0.69140625, depth_loss: 0.061606515198946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4093/10000 [9:51:31<19:28:36, 11.87s/it]
                                                         
{'loss': 2.5323, 'grad_norm': 1.978461503982544, 'learning_rate': 3.433364307409634e-05, 'epoch': 0.04}

 41%|████      | 4093/10000 [9:51:31<19:28:36, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8168837428092957, dino_loss: 0.71484375, depth_loss: 0.05897928401827812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8772103786468506, dino_loss: 0.6796875, depth_loss: 0.07313096523284912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4094/10000 [9:51:43<19:27:58, 11.87s/it]
                                                         
{'loss': 2.5481, 'grad_norm': 2.1528260707855225, 'learning_rate': 3.4325973007932907e-05, 'epoch': 0.04}

 41%|████      | 4094/10000 [9:51:43<19:27:58, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9963350296020508, dino_loss: 0.734375, depth_loss: 0.09512150287628174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8587532043457031, dino_loss: 0.703125, depth_loss: 0.06426793336868286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4095/10000 [9:51:54<19:07:02, 11.65s/it]
                                                         
{'loss': 2.3843, 'grad_norm': 1.783646583557129, 'learning_rate': 3.4318301921895084e-05, 'epoch': 0.04}

 41%|████      | 4095/10000 [9:51:54<19:07:02, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8868622779846191, dino_loss: 0.62109375, depth_loss: 0.077444888651371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.020192265510559, dino_loss: 0.71875, depth_loss: 0.07622279226779938, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4096/10000 [9:52:05<18:52:21, 11.51s/it]
                                                         
{'loss': 2.4072, 'grad_norm': 2.2186732292175293, 'learning_rate': 3.431062981682177e-05, 'epoch': 0.04}

 41%|████      | 4096/10000 [9:52:05<18:52:21, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7957981824874878, dino_loss: 0.62109375, depth_loss: 0.050859689712524414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8578981161117554, dino_loss: 0.69921875, depth_loss: 0.07288753986358643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4097/10000 [9:52:17<18:56:35, 11.55s/it]
                                                         
{'loss': 1.9961, 'grad_norm': 3.2367451190948486, 'learning_rate': 3.4302956693551986e-05, 'epoch': 0.04}

 41%|████      | 4097/10000 [9:52:17<18:56:35, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.016303539276123, dino_loss: 0.6796875, depth_loss: 0.06657493859529495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9001239538192749, dino_loss: 0.6796875, depth_loss: 0.052669696509838104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4098/10000 [9:52:28<18:52:48, 11.52s/it]
                                                         
{'loss': 2.3218, 'grad_norm': 2.6229310035705566, 'learning_rate': 3.429528255292485e-05, 'epoch': 0.04}

 41%|████      | 4098/10000 [9:52:28<18:52:48, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0355229377746582, dino_loss: 0.74609375, depth_loss: 0.07746563851833344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9660855531692505, dino_loss: 0.70703125, depth_loss: 0.07388520985841751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4099/10000 [9:52:40<18:47:58, 11.47s/it]
                                                         
{'loss': 2.37, 'grad_norm': 6.283295154571533, 'learning_rate': 3.428760739577957e-05, 'epoch': 0.04}

 41%|████      | 4099/10000 [9:52:40<18:47:58, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7671993374824524, dino_loss: 0.6796875, depth_loss: 0.07612743973731995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9115692377090454, dino_loss: 0.71484375, depth_loss: 0.06704755127429962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4100/10000 [9:52:51<18:51:04, 11.50s/it]
                                                         
{'loss': 1.7527, 'grad_norm': 3.0178120136260986, 'learning_rate': 3.427993122295552e-05, 'epoch': 0.04}

 41%|████      | 4100/10000 [9:52:51<18:51:04, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9114129543304443, dino_loss: 0.66796875, depth_loss: 0.07008026540279388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9335860013961792, dino_loss: 0.7265625, depth_loss: 0.052913375198841095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4101/10000 [9:53:04<19:17:58, 11.78s/it]
                                                         
{'loss': 2.6033, 'grad_norm': 3.5554511547088623, 'learning_rate': 3.4272254035292144e-05, 'epoch': 0.04}

 41%|████      | 4101/10000 [9:53:04<19:17:58, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.020959734916687, dino_loss: 0.71875, depth_loss: 0.07105155289173126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8570489883422852, dino_loss: 0.734375, depth_loss: 0.06051843613386154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4102/10000 [9:53:14<18:49:07, 11.49s/it]
                                                         
{'loss': 1.9374, 'grad_norm': 2.199118137359619, 'learning_rate': 3.426457583362901e-05, 'epoch': 0.04}

 41%|████      | 4102/10000 [9:53:14<18:49:07, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0221624374389648, dino_loss: 0.6875, depth_loss: 0.06133151799440384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8986964225769043, dino_loss: 0.640625, depth_loss: 0.052312035113573074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4103/10000 [9:53:27<19:12:34, 11.73s/it]
                                                         
{'loss': 2.4182, 'grad_norm': 2.915051221847534, 'learning_rate': 3.4256896618805784e-05, 'epoch': 0.04}

 41%|████      | 4103/10000 [9:53:27<19:12:34, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0877106189727783, dino_loss: 0.6953125, depth_loss: 0.06604272127151489, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.857930064201355, dino_loss: 0.66796875, depth_loss: 0.048131152987480164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4104/10000 [9:53:39<19:25:19, 11.86s/it]
                                                         
{'loss': 2.1053, 'grad_norm': 6.903796195983887, 'learning_rate': 3.424921639166226e-05, 'epoch': 0.04}

 41%|████      | 4104/10000 [9:53:39<19:25:19, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1905792951583862, dino_loss: 0.6640625, depth_loss: 0.06526848673820496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8026910424232483, dino_loss: 0.64453125, depth_loss: 0.054890189319849014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4105/10000 [9:53:51<19:25:35, 11.86s/it]
                                                         
{'loss': 2.6734, 'grad_norm': 3.50443434715271, 'learning_rate': 3.424153515303835e-05, 'epoch': 0.04}

 41%|████      | 4105/10000 [9:53:51<19:25:35, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6926623582839966, dino_loss: 0.6953125, depth_loss: 0.06904833763837814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9213552474975586, dino_loss: 0.640625, depth_loss: 0.06229991838335991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4106/10000 [9:54:03<19:39:15, 12.00s/it]
                                                         
{'loss': 2.0945, 'grad_norm': 2.8261818885803223, 'learning_rate': 3.423385290377404e-05, 'epoch': 0.04}

 41%|████      | 4106/10000 [9:54:03<19:39:15, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8613780736923218, dino_loss: 0.66796875, depth_loss: 0.05159265175461769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7399128079414368, dino_loss: 0.66796875, depth_loss: 0.055006034672260284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4107/10000 [9:54:15<19:28:37, 11.90s/it]
                                                         
{'loss': 1.9376, 'grad_norm': 2.4238791465759277, 'learning_rate': 3.422616964470946e-05, 'epoch': 0.04}

 41%|████      | 4107/10000 [9:54:15<19:28:37, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9959257245063782, dino_loss: 0.71875, depth_loss: 0.0669788122177124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9542598128318787, dino_loss: 0.66015625, depth_loss: 0.07412157952785492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4108/10000 [9:54:26<19:03:57, 11.65s/it]
                                                         
{'loss': 2.0954, 'grad_norm': 5.513791084289551, 'learning_rate': 3.4218485376684845e-05, 'epoch': 0.04}

 41%|████      | 4108/10000 [9:54:26<19:03:57, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6758452653884888, dino_loss: 0.7578125, depth_loss: 0.09348003566265106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9445760846138, dino_loss: 0.7265625, depth_loss: 0.07641773670911789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4109/10000 [9:54:37<19:00:01, 11.61s/it]
                                                         
{'loss': 2.0952, 'grad_norm': 3.1067395210266113, 'learning_rate': 3.421080010054052e-05, 'epoch': 0.04}

 41%|████      | 4109/10000 [9:54:37<19:00:01, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9455310106277466, dino_loss: 0.671875, depth_loss: 0.05793119594454765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7692910432815552, dino_loss: 0.70703125, depth_loss: 0.0698099136352539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4110/10000 [9:54:49<19:15:57, 11.78s/it]
                                                         
{'loss': 1.9893, 'grad_norm': 2.6548640727996826, 'learning_rate': 3.4203113817116957e-05, 'epoch': 0.04}

 41%|████      | 4110/10000 [9:54:49<19:15:57, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9968443512916565, dino_loss: 0.7265625, depth_loss: 0.06396197527647018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8102354407310486, dino_loss: 0.703125, depth_loss: 0.06716101616621017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4111/10000 [9:55:01<18:55:08, 11.57s/it]
                                                         
{'loss': 1.9095, 'grad_norm': 4.424537658691406, 'learning_rate': 3.419542652725469e-05, 'epoch': 0.04}

 41%|████      | 4111/10000 [9:55:01<18:55:08, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9853475093841553, dino_loss: 0.73828125, depth_loss: 0.07532887905836105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8192707300186157, dino_loss: 0.71484375, depth_loss: 0.06067545711994171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4112/10000 [9:55:13<19:09:41, 11.72s/it]
                                                         
{'loss': 2.7184, 'grad_norm': 2.8116238117218018, 'learning_rate': 3.418773823179441e-05, 'epoch': 0.04}

 41%|████      | 4112/10000 [9:55:13<19:09:41, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9192246198654175, dino_loss: 0.6953125, depth_loss: 0.066142238676548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8255844116210938, dino_loss: 0.73046875, depth_loss: 0.060514554381370544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4113/10000 [9:55:24<19:01:09, 11.63s/it]
                                                         
{'loss': 2.4426, 'grad_norm': 3.9188499450683594, 'learning_rate': 3.4180048931576884e-05, 'epoch': 0.04}

 41%|████      | 4113/10000 [9:55:24<19:01:09, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8516991138458252, dino_loss: 0.62109375, depth_loss: 0.0620722770690918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8727957010269165, dino_loss: 0.6796875, depth_loss: 0.06598849594593048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4114/10000 [9:55:36<19:06:53, 11.69s/it]
                                                         
{'loss': 1.9349, 'grad_norm': 2.306633710861206, 'learning_rate': 3.417235862744302e-05, 'epoch': 0.04}

 41%|████      | 4114/10000 [9:55:36<19:06:53, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8229488134384155, dino_loss: 0.69921875, depth_loss: 0.06402558088302612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7304128408432007, dino_loss: 0.671875, depth_loss: 0.04663370922207832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4115/10000 [9:55:48<19:26:13, 11.89s/it]
                                                         
{'loss': 2.2182, 'grad_norm': 5.844876766204834, 'learning_rate': 3.41646673202338e-05, 'epoch': 0.04}

 41%|████      | 4115/10000 [9:55:48<19:26:13, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9117523431777954, dino_loss: 0.6640625, depth_loss: 0.06374991685152054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9897615909576416, dino_loss: 0.7109375, depth_loss: 0.06605164706707001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4116/10000 [9:56:00<19:21:46, 11.85s/it]
                                                         
{'loss': 2.5464, 'grad_norm': 3.6619365215301514, 'learning_rate': 3.4156975010790336e-05, 'epoch': 0.04}

 41%|████      | 4116/10000 [9:56:00<19:21:46, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8641884326934814, dino_loss: 0.69921875, depth_loss: 0.07889162749052048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7736854553222656, dino_loss: 0.7109375, depth_loss: 0.0583336167037487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4117/10000 [9:56:12<19:12:19, 11.75s/it]
                                                         
{'loss': 2.1462, 'grad_norm': 3.0945823192596436, 'learning_rate': 3.414928169995386e-05, 'epoch': 0.04}

 41%|████      | 4117/10000 [9:56:12<19:12:19, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.9182143211364746, dino_loss: 0.69140625, depth_loss: 0.05633401870727539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8866268396377563, dino_loss: 0.70703125, depth_loss: 0.06361126154661179, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4118/10000 [9:56:23<18:56:27, 11.59s/it]
                                                         
{'loss': 2.0282, 'grad_norm': 2.580101728439331, 'learning_rate': 3.41415873885657e-05, 'epoch': 0.04}

 41%|████      | 4118/10000 [9:56:23<18:56:27, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8027075529098511, dino_loss: 0.66015625, depth_loss: 0.06081510707736015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9561135768890381, dino_loss: 0.7421875, depth_loss: 0.07619854062795639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4119/10000 [9:56:34<19:00:42, 11.64s/it]
                                                         
{'loss': 2.4057, 'grad_norm': 2.7979483604431152, 'learning_rate': 3.4133892077467275e-05, 'epoch': 0.04}

 41%|████      | 4119/10000 [9:56:34<19:00:42, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8281291127204895, dino_loss: 0.67578125, depth_loss: 0.06359986960887909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7619596719741821, dino_loss: 0.7265625, depth_loss: 0.06147802993655205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4120/10000 [9:56:46<18:51:54, 11.55s/it]
                                                         
{'loss': 2.2002, 'grad_norm': 2.9367053508758545, 'learning_rate': 3.412619576750014e-05, 'epoch': 0.04}

 41%|████      | 4120/10000 [9:56:46<18:51:54, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8490734100341797, dino_loss: 0.7421875, depth_loss: 0.06044073402881622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9335518479347229, dino_loss: 0.734375, depth_loss: 0.07355057448148727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4121/10000 [9:56:57<18:53:19, 11.57s/it]
                                                         
{'loss': 2.6685, 'grad_norm': 1.9846646785736084, 'learning_rate': 3.411849845950598e-05, 'epoch': 0.04}

 41%|████      | 4121/10000 [9:56:57<18:53:19, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8875905275344849, dino_loss: 0.6796875, depth_loss: 0.0760933980345726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8873022198677063, dino_loss: 0.7109375, depth_loss: 0.07273347675800323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4122/10000 [9:57:09<18:39:01, 11.42s/it]
                                                         
{'loss': 2.0051, 'grad_norm': 3.6218984127044678, 'learning_rate': 3.4110800154326515e-05, 'epoch': 0.04}

 41%|████      | 4122/10000 [9:57:09<18:39:01, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7252371311187744, dino_loss: 0.67578125, depth_loss: 0.05913102626800537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7885270118713379, dino_loss: 0.6796875, depth_loss: 0.08244871348142624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4123/10000 [9:57:20<18:46:13, 11.50s/it]
                                                         
{'loss': 1.8783, 'grad_norm': 3.4673314094543457, 'learning_rate': 3.4103100852803656e-05, 'epoch': 0.04}

 41%|████      | 4123/10000 [9:57:20<18:46:13, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8925647735595703, dino_loss: 0.71484375, depth_loss: 0.06294824182987213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7424001097679138, dino_loss: 0.65625, depth_loss: 0.06162033975124359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████      | 4124/10000 [9:57:32<19:01:21, 11.65s/it]
                                                         
{'loss': 2.2956, 'grad_norm': 3.7446954250335693, 'learning_rate': 3.4095400555779366e-05, 'epoch': 0.04}

 41%|████      | 4124/10000 [9:57:32<19:01:21, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8041969537734985, dino_loss: 0.6640625, depth_loss: 0.0764378011226654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0245709419250488, dino_loss: 0.6953125, depth_loss: 0.054901719093322754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4125/10000 [9:57:43<18:44:11, 11.48s/it]
                                                         
{'loss': 1.6781, 'grad_norm': 3.4104154109954834, 'learning_rate': 3.4087699264095745e-05, 'epoch': 0.04}

 41%|████▏     | 4125/10000 [9:57:43<18:44:11, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.066924810409546, dino_loss: 0.7109375, depth_loss: 0.06206922233104706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8519296050071716, dino_loss: 0.69921875, depth_loss: 0.056821923702955246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4126/10000 [9:57:55<18:46:22, 11.51s/it]
                                                         
{'loss': 2.5907, 'grad_norm': 5.084015846252441, 'learning_rate': 3.4079996978595e-05, 'epoch': 0.04}

 41%|████▏     | 4126/10000 [9:57:55<18:46:22, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8804599642753601, dino_loss: 0.703125, depth_loss: 0.08054135739803314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8291934132575989, dino_loss: 0.6328125, depth_loss: 0.06213118135929108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4127/10000 [9:58:06<18:48:32, 11.53s/it]
                                                         
{'loss': 2.2006, 'grad_norm': 7.101533889770508, 'learning_rate': 3.407229370011944e-05, 'epoch': 0.04}

 41%|████▏     | 4127/10000 [9:58:06<18:48:32, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.9073917865753174, dino_loss: 0.7109375, depth_loss: 0.05064959079027176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9299578070640564, dino_loss: 0.67578125, depth_loss: 0.053856126964092255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4128/10000 [9:58:18<18:58:37, 11.63s/it]
                                                         
{'loss': 2.4913, 'grad_norm': 5.1781158447265625, 'learning_rate': 3.406458942951148e-05, 'epoch': 0.04}

 41%|████▏     | 4128/10000 [9:58:18<18:58:37, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6497088074684143, dino_loss: 0.64453125, depth_loss: 0.04274730384349823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8983430862426758, dino_loss: 0.6796875, depth_loss: 0.07621103525161743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4129/10000 [9:58:30<19:12:26, 11.78s/it]
                                                         
{'loss': 2.0908, 'grad_norm': 2.1271283626556396, 'learning_rate': 3.405688416761364e-05, 'epoch': 0.04}

 41%|████▏     | 4129/10000 [9:58:30<19:12:26, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9350439310073853, dino_loss: 0.7265625, depth_loss: 0.050071343779563904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7544863224029541, dino_loss: 0.671875, depth_loss: 0.0688740536570549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4130/10000 [9:58:42<19:07:05, 11.72s/it]
                                                         
{'loss': 2.2071, 'grad_norm': 2.08803391456604, 'learning_rate': 3.4049177915268576e-05, 'epoch': 0.04}

 41%|████▏     | 4130/10000 [9:58:42<19:07:05, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.800716757774353, dino_loss: 0.70703125, depth_loss: 0.06311429291963577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7635296583175659, dino_loss: 0.65234375, depth_loss: 0.06267499923706055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4131/10000 [9:58:54<19:16:49, 11.83s/it]
                                                         
{'loss': 2.1494, 'grad_norm': 2.1206555366516113, 'learning_rate': 3.404147067331901e-05, 'epoch': 0.04}

 41%|████▏     | 4131/10000 [9:58:54<19:16:49, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.698957085609436, dino_loss: 0.640625, depth_loss: 0.05699249356985092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8733170628547668, dino_loss: 0.72265625, depth_loss: 0.06613871455192566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4132/10000 [9:59:06<19:31:07, 11.97s/it]
                                                         
{'loss': 1.9567, 'grad_norm': 1.8294570446014404, 'learning_rate': 3.403376244260781e-05, 'epoch': 0.04}

 41%|████▏     | 4132/10000 [9:59:06<19:31:07, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.8341553807258606, dino_loss: 0.6484375, depth_loss: 0.076869897544384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7292265892028809, dino_loss: 0.71484375, depth_loss: 0.08075523376464844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4133/10000 [9:59:19<19:35:56, 12.03s/it]
                                                         
{'loss': 2.611, 'grad_norm': 2.009303569793701, 'learning_rate': 3.402605322397794e-05, 'epoch': 0.04}

 41%|████▏     | 4133/10000 [9:59:19<19:35:56, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9013620615005493, dino_loss: 0.703125, depth_loss: 0.06335043907165527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6702673435211182, dino_loss: 0.6640625, depth_loss: 0.04744405671954155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4134/10000 [9:59:31<19:46:06, 12.13s/it]
                                                         
{'loss': 2.3139, 'grad_norm': 2.2809057235717773, 'learning_rate': 3.401834301827245e-05, 'epoch': 0.04}

 41%|████▏     | 4134/10000 [9:59:31<19:46:06, 12.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0699175596237183, dino_loss: 0.7109375, depth_loss: 0.05918966978788376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9119889140129089, dino_loss: 0.75, depth_loss: 0.07633958756923676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4135/10000 [9:59:43<19:45:05, 12.12s/it]
                                                         
{'loss': 2.696, 'grad_norm': 2.912552833557129, 'learning_rate': 3.4010631826334526e-05, 'epoch': 0.04}

 41%|████▏     | 4135/10000 [9:59:43<19:45:05, 12.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.8629071712493896, dino_loss: 0.65625, depth_loss: 0.06423026323318481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8613218069076538, dino_loss: 0.6953125, depth_loss: 0.08327670395374298, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4136/10000 [9:59:55<19:41:11, 12.09s/it]
                                                         
{'loss': 2.5299, 'grad_norm': 3.1116626262664795, 'learning_rate': 3.400291964900745e-05, 'epoch': 0.04}

 41%|████▏     | 4136/10000 [9:59:55<19:41:11, 12.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9336238503456116, dino_loss: 0.671875, depth_loss: 0.05832197144627571, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8801801204681396, dino_loss: 0.73828125, depth_loss: 0.06359601765871048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4137/10000 [10:00:07<19:38:57, 12.07s/it]
                                                          
{'loss': 2.2505, 'grad_norm': 2.1456894874572754, 'learning_rate': 3.3995206487134624e-05, 'epoch': 0.04}

 41%|████▏     | 4137/10000 [10:00:07<19:38:57, 12.07s/it]the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0064811706542969, dino_loss: 0.6875, depth_loss: 0.07415606081485748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8665661811828613, dino_loss: 0.71484375, depth_loss: 0.08710098266601562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4138/10000 [10:00:19<19:27:51, 11.95s/it]
                                                          
{'loss': 2.1287, 'grad_norm': 2.7651071548461914, 'learning_rate': 3.3987492341559535e-05, 'epoch': 0.04}

 41%|████▏     | 4138/10000 [10:00:19<19:27:51, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8561941981315613, dino_loss: 0.671875, depth_loss: 0.05616537481546402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8383533954620361, dino_loss: 0.69921875, depth_loss: 0.06153485178947449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4139/10000 [10:00:30<19:03:15, 11.70s/it]
                                                          
{'loss': 1.8159, 'grad_norm': 1.405288577079773, 'learning_rate': 3.3979777213125795e-05, 'epoch': 0.04}

 41%|████▏     | 4139/10000 [10:00:30<19:03:15, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.049452304840088, dino_loss: 0.69921875, depth_loss: 0.07318779826164246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7939168214797974, dino_loss: 0.69921875, depth_loss: 0.06253503262996674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4140/10000 [10:00:42<19:02:01, 11.69s/it]
                                                          
{'loss': 2.2297, 'grad_norm': 4.490177631378174, 'learning_rate': 3.397206110267713e-05, 'epoch': 0.04}

 41%|████▏     | 4140/10000 [10:00:42<19:02:01, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9594385027885437, dino_loss: 0.734375, depth_loss: 0.05095544457435608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0300793647766113, dino_loss: 0.70703125, depth_loss: 0.07191038131713867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4141/10000 [10:00:53<18:52:58, 11.60s/it]
                                                          
{'loss': 2.1446, 'grad_norm': 3.0940866470336914, 'learning_rate': 3.396434401105734e-05, 'epoch': 0.04}

 41%|████▏     | 4141/10000 [10:00:53<18:52:58, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8345835208892822, dino_loss: 0.69921875, depth_loss: 0.060542091727256775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9928678274154663, dino_loss: 0.6640625, depth_loss: 0.07295189052820206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4142/10000 [10:01:04<18:50:44, 11.58s/it]
                                                          
{'loss': 2.3839, 'grad_norm': 3.345973491668701, 'learning_rate': 3.3956625939110376e-05, 'epoch': 0.04}

 41%|████▏     | 4142/10000 [10:01:04<18:50:44, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7798325419425964, dino_loss: 0.640625, depth_loss: 0.06077677756547928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6994274258613586, dino_loss: 0.6875, depth_loss: 0.06950637698173523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4143/10000 [10:01:16<19:00:40, 11.69s/it]
                                                          
{'loss': 1.8503, 'grad_norm': 5.589799404144287, 'learning_rate': 3.394890688768026e-05, 'epoch': 0.04}

 41%|████▏     | 4143/10000 [10:01:16<19:00:40, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.032660722732544, dino_loss: 0.69921875, depth_loss: 0.0867205411195755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8436381220817566, dino_loss: 0.6796875, depth_loss: 0.04016246646642685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4144/10000 [10:01:28<19:07:17, 11.76s/it]
                                                          
{'loss': 1.9068, 'grad_norm': 3.037046432495117, 'learning_rate': 3.394118685761114e-05, 'epoch': 0.04}

 41%|████▏     | 4144/10000 [10:01:28<19:07:17, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0074862241744995, dino_loss: 0.71875, depth_loss: 0.055256474763154984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9414687752723694, dino_loss: 0.66796875, depth_loss: 0.060275331139564514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4145/10000 [10:01:40<19:11:03, 11.80s/it]
                                                          
{'loss': 2.1887, 'grad_norm': 4.896244049072266, 'learning_rate': 3.3933465849747275e-05, 'epoch': 0.04}

 41%|████▏     | 4145/10000 [10:01:40<19:11:03, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8745682239532471, dino_loss: 0.72265625, depth_loss: 0.07696831971406937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7581701278686523, dino_loss: 0.7265625, depth_loss: 0.06712625175714493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4146/10000 [10:01:52<19:15:56, 11.85s/it]
                                                          
{'loss': 1.919, 'grad_norm': 2.54131817817688, 'learning_rate': 3.3925743864933014e-05, 'epoch': 0.04}

 41%|████▏     | 4146/10000 [10:01:52<19:15:56, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8660984635353088, dino_loss: 0.71875, depth_loss: 0.06665091216564178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7463507652282715, dino_loss: 0.69921875, depth_loss: 0.0615958571434021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4147/10000 [10:02:04<19:07:31, 11.76s/it]
                                                          
{'loss': 2.5023, 'grad_norm': 2.5699729919433594, 'learning_rate': 3.391802090401282e-05, 'epoch': 0.04}

 41%|████▏     | 4147/10000 [10:02:04<19:07:31, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8914647698402405, dino_loss: 0.71484375, depth_loss: 0.06621112674474716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8541743159294128, dino_loss: 0.66796875, depth_loss: 0.06298911571502686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4148/10000 [10:02:15<19:01:20, 11.70s/it]
                                                          
{'loss': 2.2753, 'grad_norm': 5.856496810913086, 'learning_rate': 3.3910296967831266e-05, 'epoch': 0.04}

 41%|████▏     | 4148/10000 [10:02:15<19:01:20, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9083277583122253, dino_loss: 0.7265625, depth_loss: 0.05072946101427078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 1
the number of masks: 8
seg_loss: 0.69474196434021, dino_loss: 0.6875, depth_loss: 0.05354805290699005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 41%|████▏     | 4149/10000 [10:02:26<18:44:16, 11.53s/it]
                                                          
{'loss': 1.7952, 'grad_norm': 2.475019693374634, 'learning_rate': 3.390257205723304e-05, 'epoch': 0.04}

 41%|████▏     | 4149/10000 [10:02:26<18:44:16, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9186461567878723, dino_loss: 0.65234375, depth_loss: 0.06587681919336319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.9652724266052246, dino_loss: 0.671875, depth_loss: 0.06040555611252785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4150/10000 [10:02:38<18:35:21, 11.44s/it]
                                                          
{'loss': 2.2211, 'grad_norm': 4.478466510772705, 'learning_rate': 3.389484617306292e-05, 'epoch': 0.04}

 42%|████▏     | 4150/10000 [10:02:38<18:35:21, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.817786693572998, dino_loss: 0.68359375, depth_loss: 0.06736837327480316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.842668890953064, dino_loss: 0.64453125, depth_loss: 0.05259646475315094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4151/10000 [10:02:49<18:41:34, 11.51s/it]
                                                          
{'loss': 1.7437, 'grad_norm': 2.600161552429199, 'learning_rate': 3.388711931616578e-05, 'epoch': 0.04}

 42%|████▏     | 4151/10000 [10:02:49<18:41:34, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8591470122337341, dino_loss: 0.71484375, depth_loss: 0.062344372272491455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9581465125083923, dino_loss: 0.68359375, depth_loss: 0.07434616982936859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4152/10000 [10:03:01<18:40:27, 11.50s/it]
                                                          
{'loss': 2.1566, 'grad_norm': 2.8699240684509277, 'learning_rate': 3.387939148738665e-05, 'epoch': 0.04}

 42%|████▏     | 4152/10000 [10:03:01<18:40:27, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.864290714263916, dino_loss: 0.6796875, depth_loss: 0.0645657405257225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.819612443447113, dino_loss: 0.73046875, depth_loss: 0.06755898892879486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4153/10000 [10:03:13<18:49:47, 11.59s/it]
                                                          
{'loss': 2.0016, 'grad_norm': 3.1316568851470947, 'learning_rate': 3.387166268757061e-05, 'epoch': 0.04}

 42%|████▏     | 4153/10000 [10:03:13<18:49:47, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7735610008239746, dino_loss: 0.68359375, depth_loss: 0.058757562190294266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7020140886306763, dino_loss: 0.625, depth_loss: 0.04889281094074249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4154/10000 [10:03:24<18:50:09, 11.60s/it]
                                                          
{'loss': 2.0588, 'grad_norm': 2.6170639991760254, 'learning_rate': 3.3863932917562874e-05, 'epoch': 0.04}

 42%|████▏     | 4154/10000 [10:03:24<18:50:09, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9011558294296265, dino_loss: 0.6640625, depth_loss: 0.05773726850748062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.01618230342865, dino_loss: 0.74609375, depth_loss: 0.07811663299798965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4155/10000 [10:03:35<18:31:59, 11.41s/it]
                                                          
{'loss': 1.7683, 'grad_norm': 3.225321054458618, 'learning_rate': 3.385620217820877e-05, 'epoch': 0.04}

 42%|████▏     | 4155/10000 [10:03:35<18:31:59, 11.41s/it]the number of masks: 2
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6859022378921509, dino_loss: 0.6328125, depth_loss: 0.05282721295952797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7971916198730469, dino_loss: 0.703125, depth_loss: 0.04591863229870796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4156/10000 [10:03:47<18:52:37, 11.63s/it]
                                                          
{'loss': 1.936, 'grad_norm': 2.3249475955963135, 'learning_rate': 3.38484704703537e-05, 'epoch': 0.04}

 42%|████▏     | 4156/10000 [10:03:47<18:52:37, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7938504219055176, dino_loss: 0.70703125, depth_loss: 0.06396710872650146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.839577317237854, dino_loss: 0.6953125, depth_loss: 0.06689354032278061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4157/10000 [10:03:59<18:58:20, 11.69s/it]
                                                          
{'loss': 2.1714, 'grad_norm': 3.1367311477661133, 'learning_rate': 3.3840737794843206e-05, 'epoch': 0.04}

 42%|████▏     | 4157/10000 [10:03:59<18:58:20, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8902650475502014, dino_loss: 0.671875, depth_loss: 0.04800989478826523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9197028279304504, dino_loss: 0.6875, depth_loss: 0.07071665674448013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4158/10000 [10:04:11<19:04:42, 11.76s/it]
                                                          
{'loss': 2.2902, 'grad_norm': 2.801952600479126, 'learning_rate': 3.383300415252292e-05, 'epoch': 0.04}

 42%|████▏     | 4158/10000 [10:04:11<19:04:42, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.823811948299408, dino_loss: 0.69921875, depth_loss: 0.06665538251399994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8782883882522583, dino_loss: 0.67578125, depth_loss: 0.07861188799142838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4159/10000 [10:04:23<18:55:18, 11.66s/it]
                                                          
{'loss': 2.0333, 'grad_norm': 3.258064031600952, 'learning_rate': 3.382526954423858e-05, 'epoch': 0.04}

 42%|████▏     | 4159/10000 [10:04:23<18:55:18, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7243130803108215, dino_loss: 0.74609375, depth_loss: 0.06965851783752441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.037426233291626, dino_loss: 0.71484375, depth_loss: 0.07186082750558853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4160/10000 [10:04:35<19:24:04, 11.96s/it]
                                                          
{'loss': 2.3898, 'grad_norm': 4.3317484855651855, 'learning_rate': 3.381753397083604e-05, 'epoch': 0.04}

 42%|████▏     | 4160/10000 [10:04:35<19:24:04, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8748348951339722, dino_loss: 0.70703125, depth_loss: 0.06074873358011246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9284836649894714, dino_loss: 0.703125, depth_loss: 0.05657525733113289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4161/10000 [10:04:46<18:57:04, 11.68s/it]
                                                          
{'loss': 2.3027, 'grad_norm': 2.3300983905792236, 'learning_rate': 3.380979743316122e-05, 'epoch': 0.04}

 42%|████▏     | 4161/10000 [10:04:46<18:57:04, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9185770153999329, dino_loss: 0.7265625, depth_loss: 0.054663993418216705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.756328821182251, dino_loss: 0.68359375, depth_loss: 0.0567740872502327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4162/10000 [10:04:58<19:14:40, 11.87s/it]
                                                          
{'loss': 2.0436, 'grad_norm': 2.753230094909668, 'learning_rate': 3.3802059932060216e-05, 'epoch': 0.04}

 42%|████▏     | 4162/10000 [10:04:58<19:14:40, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9783889055252075, dino_loss: 0.69921875, depth_loss: 0.044029347598552704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8722363114356995, dino_loss: 0.7421875, depth_loss: 0.07617872953414917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4163/10000 [10:05:11<19:41:42, 12.15s/it]
                                                          
{'loss': 2.6183, 'grad_norm': 2.6920852661132812, 'learning_rate': 3.379432146837917e-05, 'epoch': 0.04}

 42%|████▏     | 4163/10000 [10:05:11<19:41:42, 12.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7372928857803345, dino_loss: 0.640625, depth_loss: 0.058606475591659546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8855969905853271, dino_loss: 0.66796875, depth_loss: 0.04705258458852768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4164/10000 [10:05:23<19:28:46, 12.02s/it]
                                                          
{'loss': 1.8391, 'grad_norm': 3.7009620666503906, 'learning_rate': 3.378658204296434e-05, 'epoch': 0.04}

 42%|████▏     | 4164/10000 [10:05:23<19:28:46, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8104443550109863, dino_loss: 0.72265625, depth_loss: 0.0717487633228302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9152646064758301, dino_loss: 0.69140625, depth_loss: 0.06879483163356781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4165/10000 [10:05:34<19:10:57, 11.84s/it]
                                                          
{'loss': 2.3496, 'grad_norm': 3.2558040618896484, 'learning_rate': 3.377884165666212e-05, 'epoch': 0.04}

 42%|████▏     | 4165/10000 [10:05:34<19:10:57, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0534151792526245, dino_loss: 0.73046875, depth_loss: 0.062809519469738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8132240772247314, dino_loss: 0.734375, depth_loss: 0.06325957924127579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4166/10000 [10:05:46<19:14:41, 11.88s/it]
                                                          
{'loss': 2.5303, 'grad_norm': 6.618888854980469, 'learning_rate': 3.377110031031896e-05, 'epoch': 0.04}

 42%|████▏     | 4166/10000 [10:05:46<19:14:41, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8058280348777771, dino_loss: 0.625, depth_loss: 0.06459031999111176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7914720773696899, dino_loss: 0.62890625, depth_loss: 0.042718201875686646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4167/10000 [10:05:58<19:14:02, 11.87s/it]
                                                          
{'loss': 1.9878, 'grad_norm': 2.374894142150879, 'learning_rate': 3.3763358004781475e-05, 'epoch': 0.04}

 42%|████▏     | 4167/10000 [10:05:58<19:14:02, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9409266710281372, dino_loss: 0.6953125, depth_loss: 0.07151312381029129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9709444642066956, dino_loss: 0.6875, depth_loss: 0.052263446152210236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4168/10000 [10:06:10<19:22:34, 11.96s/it]
                                                          
{'loss': 2.4873, 'grad_norm': 3.5762155055999756, 'learning_rate': 3.375561474089633e-05, 'epoch': 0.04}

 42%|████▏     | 4168/10000 [10:06:10<19:22:34, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9805057048797607, dino_loss: 0.7109375, depth_loss: 0.059495311230421066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9681243896484375, dino_loss: 0.69140625, depth_loss: 0.061241038143634796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4169/10000 [10:06:22<19:18:46, 11.92s/it]
                                                          
{'loss': 2.679, 'grad_norm': 3.0304980278015137, 'learning_rate': 3.374787051951032e-05, 'epoch': 0.04}

 42%|████▏     | 4169/10000 [10:06:22<19:18:46, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8606693744659424, dino_loss: 0.68359375, depth_loss: 0.06248344108462334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8180849552154541, dino_loss: 0.66796875, depth_loss: 0.04873513802886009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4170/10000 [10:06:34<19:22:44, 11.97s/it]
                                                          
{'loss': 2.6099, 'grad_norm': 5.017292499542236, 'learning_rate': 3.3740125341470336e-05, 'epoch': 0.04}

 42%|████▏     | 4170/10000 [10:06:34<19:22:44, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8729119896888733, dino_loss: 0.6640625, depth_loss: 0.05407315120100975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9535336494445801, dino_loss: 0.70703125, depth_loss: 0.0693403109908104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4171/10000 [10:06:46<19:07:56, 11.82s/it]
                                                          
{'loss': 2.2396, 'grad_norm': 2.8334412574768066, 'learning_rate': 3.3732379207623386e-05, 'epoch': 0.04}

 42%|████▏     | 4171/10000 [10:06:46<19:07:56, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.908545970916748, dino_loss: 0.67578125, depth_loss: 0.05745645985007286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7634332180023193, dino_loss: 0.6640625, depth_loss: 0.06675206869840622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4172/10000 [10:06:57<18:55:15, 11.69s/it]
                                                          
{'loss': 2.0828, 'grad_norm': 1.907361388206482, 'learning_rate': 3.3724632118816584e-05, 'epoch': 0.04}

 42%|████▏     | 4172/10000 [10:06:57<18:55:15, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.083079218864441, dino_loss: 0.71484375, depth_loss: 0.06533514708280563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8046163320541382, dino_loss: 0.6875, depth_loss: 0.05847290903329849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4173/10000 [10:07:09<18:59:01, 11.73s/it]
                                                          
{'loss': 1.7353, 'grad_norm': 4.391378879547119, 'learning_rate': 3.371688407589712e-05, 'epoch': 0.04}

 42%|████▏     | 4173/10000 [10:07:09<18:59:01, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8549108505249023, dino_loss: 0.7109375, depth_loss: 0.05013742297887802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7981737852096558, dino_loss: 0.6796875, depth_loss: 0.07231678068637848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4174/10000 [10:07:21<19:01:18, 11.75s/it]
                                                          
{'loss': 2.2226, 'grad_norm': 2.8501148223876953, 'learning_rate': 3.370913507971233e-05, 'epoch': 0.04}

 42%|████▏     | 4174/10000 [10:07:21<19:01:18, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8318660855293274, dino_loss: 0.73046875, depth_loss: 0.07558148354291916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9013676643371582, dino_loss: 0.6953125, depth_loss: 0.06660617142915726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4175/10000 [10:07:33<19:10:50, 11.85s/it]
                                                          
{'loss': 2.3989, 'grad_norm': 5.675631999969482, 'learning_rate': 3.3701385131109616e-05, 'epoch': 0.04}

 42%|████▏     | 4175/10000 [10:07:33<19:10:50, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9001516103744507, dino_loss: 0.6875, depth_loss: 0.06782367825508118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.88972407579422, dino_loss: 0.69921875, depth_loss: 0.05899414047598839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4176/10000 [10:07:45<19:07:24, 11.82s/it]
                                                          
{'loss': 2.2323, 'grad_norm': 2.7970597743988037, 'learning_rate': 3.36936342309365e-05, 'epoch': 0.04}

 42%|████▏     | 4176/10000 [10:07:45<19:07:24, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.85840904712677, dino_loss: 0.71484375, depth_loss: 0.07121282070875168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8514431118965149, dino_loss: 0.68359375, depth_loss: 0.053654007613658905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4177/10000 [10:07:56<19:00:31, 11.75s/it]
                                                          
{'loss': 2.3872, 'grad_norm': 3.817033529281616, 'learning_rate': 3.368588238004062e-05, 'epoch': 0.04}

 42%|████▏     | 4177/10000 [10:07:56<19:00:31, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7583584785461426, dino_loss: 0.6796875, depth_loss: 0.04667315632104874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9515129327774048, dino_loss: 0.734375, depth_loss: 0.06432054936885834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4178/10000 [10:08:08<19:00:10, 11.75s/it]
                                                          
{'loss': 2.1156, 'grad_norm': 4.787834644317627, 'learning_rate': 3.367812957926971e-05, 'epoch': 0.04}

 42%|████▏     | 4178/10000 [10:08:08<19:00:10, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2066047191619873, dino_loss: 0.640625, depth_loss: 0.04935242980718613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8026846647262573, dino_loss: 0.71875, depth_loss: 0.056841202080249786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4179/10000 [10:08:20<18:53:54, 11.69s/it]
                                                          
{'loss': 2.3599, 'grad_norm': 4.852682113647461, 'learning_rate': 3.367037582947158e-05, 'epoch': 0.04}

 42%|████▏     | 4179/10000 [10:08:20<18:53:54, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9590378403663635, dino_loss: 0.67578125, depth_loss: 0.06126131862401962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8264186978340149, dino_loss: 0.6484375, depth_loss: 0.0466199591755867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4180/10000 [10:08:31<18:40:14, 11.55s/it]
                                                          
{'loss': 2.0948, 'grad_norm': 3.1526591777801514, 'learning_rate': 3.3662621131494204e-05, 'epoch': 0.04}

 42%|████▏     | 4180/10000 [10:08:31<18:40:14, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8696389198303223, dino_loss: 0.671875, depth_loss: 0.061434946954250336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9313579201698303, dino_loss: 0.6640625, depth_loss: 0.07439065724611282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4181/10000 [10:08:43<18:47:20, 11.62s/it]
                                                          
{'loss': 2.2884, 'grad_norm': 6.8858466148376465, 'learning_rate': 3.3654865486185595e-05, 'epoch': 0.04}

 42%|████▏     | 4181/10000 [10:08:43<18:47:20, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8017459511756897, dino_loss: 0.67578125, depth_loss: 0.05623211711645126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9591087698936462, dino_loss: 0.67578125, depth_loss: 0.05419808253645897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4182/10000 [10:08:54<18:51:52, 11.67s/it]
                                                          
{'loss': 2.2146, 'grad_norm': 2.37668776512146, 'learning_rate': 3.364710889439391e-05, 'epoch': 0.04}

 42%|████▏     | 4182/10000 [10:08:54<18:51:52, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8601762056350708, dino_loss: 0.65625, depth_loss: 0.06020408123731613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8826013803482056, dino_loss: 0.640625, depth_loss: 0.0528799407184124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4183/10000 [10:09:06<18:47:32, 11.63s/it]
                                                          
{'loss': 2.0442, 'grad_norm': 6.821985244750977, 'learning_rate': 3.36393513569674e-05, 'epoch': 0.04}

 42%|████▏     | 4183/10000 [10:09:06<18:47:32, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8506155014038086, dino_loss: 0.71875, depth_loss: 0.08067132532596588, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7581608891487122, dino_loss: 0.6171875, depth_loss: 0.044869497418403625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4184/10000 [10:09:18<18:51:51, 11.68s/it]
                                                          
{'loss': 2.2302, 'grad_norm': 2.7474427223205566, 'learning_rate': 3.36315928747544e-05, 'epoch': 0.04}

 42%|████▏     | 4184/10000 [10:09:18<18:51:51, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8801608681678772, dino_loss: 0.6640625, depth_loss: 0.0722518041729927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7774829864501953, dino_loss: 0.7265625, depth_loss: 0.06310974061489105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4185/10000 [10:09:29<18:50:24, 11.66s/it]
                                                          
{'loss': 1.9635, 'grad_norm': 2.284688949584961, 'learning_rate': 3.36238334486034e-05, 'epoch': 0.04}

 42%|████▏     | 4185/10000 [10:09:29<18:50:24, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9028065204620361, dino_loss: 0.68359375, depth_loss: 0.060048677027225494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7596807479858398, dino_loss: 0.6875, depth_loss: 0.08556899428367615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4186/10000 [10:09:41<18:46:11, 11.62s/it]
                                                          
{'loss': 2.1126, 'grad_norm': 3.0201876163482666, 'learning_rate': 3.3616073079362926e-05, 'epoch': 0.04}

 42%|████▏     | 4186/10000 [10:09:41<18:46:11, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9189531803131104, dino_loss: 0.734375, depth_loss: 0.05799545347690582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.889879047870636, dino_loss: 0.6796875, depth_loss: 0.0776037946343422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4187/10000 [10:09:52<18:33:30, 11.49s/it]
                                                          
{'loss': 2.002, 'grad_norm': 3.2934958934783936, 'learning_rate': 3.360831176788166e-05, 'epoch': 0.04}

 42%|████▏     | 4187/10000 [10:09:52<18:33:30, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8436912298202515, dino_loss: 0.69140625, depth_loss: 0.05324069410562515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9082622528076172, dino_loss: 0.734375, depth_loss: 0.06810450553894043, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4188/10000 [10:10:04<18:38:21, 11.55s/it]
                                                          
{'loss': 2.1618, 'grad_norm': 1.9597389698028564, 'learning_rate': 3.360054951500837e-05, 'epoch': 0.04}

 42%|████▏     | 4188/10000 [10:10:04<18:38:21, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9048808813095093, dino_loss: 0.66015625, depth_loss: 0.07248354703187943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6895070672035217, dino_loss: 0.69921875, depth_loss: 0.059175390750169754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4189/10000 [10:10:16<18:53:25, 11.70s/it]
                                                          
{'loss': 2.0418, 'grad_norm': 3.496727705001831, 'learning_rate': 3.35927863215919e-05, 'epoch': 0.04}

 42%|████▏     | 4189/10000 [10:10:16<18:53:25, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8671424984931946, dino_loss: 0.71875, depth_loss: 0.09037773311138153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.754055380821228, dino_loss: 0.7265625, depth_loss: 0.07056940346956253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4190/10000 [10:10:28<19:00:45, 11.78s/it]
                                                          
{'loss': 2.5248, 'grad_norm': 2.855203151702881, 'learning_rate': 3.358502218848125e-05, 'epoch': 0.04}

 42%|████▏     | 4190/10000 [10:10:28<19:00:45, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.933887243270874, dino_loss: 0.6640625, depth_loss: 0.05900140479207039, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9024451971054077, dino_loss: 0.7578125, depth_loss: 0.07128724455833435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4191/10000 [10:10:40<19:14:37, 11.93s/it]
                                                          
{'loss': 2.3156, 'grad_norm': 2.8596277236938477, 'learning_rate': 3.357725711652547e-05, 'epoch': 0.04}

 42%|████▏     | 4191/10000 [10:10:40<19:14:37, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8716812133789062, dino_loss: 0.6796875, depth_loss: 0.0689585730433464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0263519287109375, dino_loss: 0.65625, depth_loss: 0.08398528397083282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4192/10000 [10:10:51<18:52:50, 11.70s/it]
                                                          
{'loss': 2.2314, 'grad_norm': 2.8993914127349854, 'learning_rate': 3.3569491106573746e-05, 'epoch': 0.04}

 42%|████▏     | 4192/10000 [10:10:51<18:52:50, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8638406991958618, dino_loss: 0.66796875, depth_loss: 0.07124823331832886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9092652797698975, dino_loss: 0.66796875, depth_loss: 0.07528507709503174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4193/10000 [10:11:03<18:58:39, 11.76s/it]
                                                          
{'loss': 2.6094, 'grad_norm': 3.0287630558013916, 'learning_rate': 3.356172415947537e-05, 'epoch': 0.04}

 42%|████▏     | 4193/10000 [10:11:03<18:58:39, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7851862907409668, dino_loss: 0.6328125, depth_loss: 0.051390618085861206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7404342889785767, dino_loss: 0.62890625, depth_loss: 0.06516708433628082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4194/10000 [10:11:15<19:04:21, 11.83s/it]
                                                          
{'loss': 1.8894, 'grad_norm': 2.9539380073547363, 'learning_rate': 3.3553956276079714e-05, 'epoch': 0.04}

 42%|████▏     | 4194/10000 [10:11:15<19:04:21, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8529540300369263, dino_loss: 0.6953125, depth_loss: 0.05811378359794617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8209646940231323, dino_loss: 0.75, depth_loss: 0.08541648834943771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4195/10000 [10:11:27<19:00:41, 11.79s/it]
                                                          
{'loss': 2.3754, 'grad_norm': 2.610567569732666, 'learning_rate': 3.3546187457236244e-05, 'epoch': 0.04}

 42%|████▏     | 4195/10000 [10:11:27<19:00:41, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9798727035522461, dino_loss: 0.7109375, depth_loss: 0.05630895122885704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0413599014282227, dino_loss: 0.6484375, depth_loss: 0.04054899513721466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4196/10000 [10:11:39<19:16:13, 11.95s/it]
                                                          
{'loss': 2.5864, 'grad_norm': 7.659283638000488, 'learning_rate': 3.353841770379458e-05, 'epoch': 0.04}

 42%|████▏     | 4196/10000 [10:11:39<19:16:13, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.039847731590271, dino_loss: 0.69140625, depth_loss: 0.06910841166973114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6981104016304016, dino_loss: 0.7578125, depth_loss: 0.07051228731870651, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4197/10000 [10:11:52<19:34:42, 12.15s/it]
                                                          
{'loss': 2.1987, 'grad_norm': 5.0745368003845215, 'learning_rate': 3.353064701660438e-05, 'epoch': 0.04}

 42%|████▏     | 4197/10000 [10:11:52<19:34:42, 12.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8745737671852112, dino_loss: 0.66796875, depth_loss: 0.062332235276699066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8827919960021973, dino_loss: 0.66796875, depth_loss: 0.04776415601372719, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4198/10000 [10:12:05<19:55:35, 12.36s/it]
                                                          
{'loss': 2.741, 'grad_norm': 1.773271083831787, 'learning_rate': 3.352287539651545e-05, 'epoch': 0.04}

 42%|████▏     | 4198/10000 [10:12:05<19:55:35, 12.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7689201235771179, dino_loss: 0.6953125, depth_loss: 0.06730253994464874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.769146740436554, dino_loss: 0.76171875, depth_loss: 0.058076806366443634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4199/10000 [10:12:17<19:49:24, 12.30s/it]
                                                          
{'loss': 2.3647, 'grad_norm': 3.5811431407928467, 'learning_rate': 3.351510284437769e-05, 'epoch': 0.04}

 42%|████▏     | 4199/10000 [10:12:17<19:49:24, 12.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0406928062438965, dino_loss: 0.69140625, depth_loss: 0.0692802220582962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8975929021835327, dino_loss: 0.62890625, depth_loss: 0.06212516129016876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4200/10000 [10:12:28<19:25:57, 12.06s/it]
                                                          
{'loss': 2.3209, 'grad_norm': 4.919888973236084, 'learning_rate': 3.350732936104108e-05, 'epoch': 0.04}

 42%|████▏     | 4200/10000 [10:12:28<19:25:57, 12.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.865943431854248, dino_loss: 0.67578125, depth_loss: 0.059028077870607376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9027239084243774, dino_loss: 0.71484375, depth_loss: 0.0733184814453125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4201/10000 [10:12:40<19:27:58, 12.08s/it]
                                                          
{'loss': 2.4404, 'grad_norm': 4.6901140213012695, 'learning_rate': 3.3499554947355714e-05, 'epoch': 0.04}

 42%|████▏     | 4201/10000 [10:12:40<19:27:58, 12.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9171233177185059, dino_loss: 0.7421875, depth_loss: 0.07821764051914215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8033605813980103, dino_loss: 0.66796875, depth_loss: 0.05837862938642502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4202/10000 [10:12:52<19:19:56, 12.00s/it]
                                                          
{'loss': 2.1924, 'grad_norm': 3.5627589225769043, 'learning_rate': 3.3491779604171816e-05, 'epoch': 0.04}

 42%|████▏     | 4202/10000 [10:12:52<19:19:56, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9053362607955933, dino_loss: 0.7421875, depth_loss: 0.07259703427553177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7317213416099548, dino_loss: 0.61328125, depth_loss: 0.04753261059522629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4203/10000 [10:13:04<19:11:36, 11.92s/it]
                                                          
{'loss': 2.0221, 'grad_norm': 3.3523812294006348, 'learning_rate': 3.348400333233965e-05, 'epoch': 0.04}

 42%|████▏     | 4203/10000 [10:13:04<19:11:36, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.6799331903457642, dino_loss: 0.69921875, depth_loss: 0.06425276398658752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9018205404281616, dino_loss: 0.7109375, depth_loss: 0.06056423857808113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4204/10000 [10:13:16<19:10:41, 11.91s/it]
                                                          
{'loss': 1.9679, 'grad_norm': 2.914712429046631, 'learning_rate': 3.347622613270965e-05, 'epoch': 0.04}

 42%|████▏     | 4204/10000 [10:13:16<19:10:41, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7745251655578613, dino_loss: 0.69140625, depth_loss: 0.06019053980708122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9330737590789795, dino_loss: 0.671875, depth_loss: 0.049694325774908066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4205/10000 [10:13:28<19:32:37, 12.14s/it]
                                                          
{'loss': 2.2908, 'grad_norm': 3.174058198928833, 'learning_rate': 3.346844800613229e-05, 'epoch': 0.04}

 42%|████▏     | 4205/10000 [10:13:28<19:32:37, 12.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8171625137329102, dino_loss: 0.6796875, depth_loss: 0.06206165999174118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9799716472625732, dino_loss: 0.66015625, depth_loss: 0.055954888463020325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4206/10000 [10:13:40<19:29:01, 12.11s/it]
                                                          
{'loss': 2.5909, 'grad_norm': 4.328569412231445, 'learning_rate': 3.3460668953458194e-05, 'epoch': 0.04}

 42%|████▏     | 4206/10000 [10:13:40<19:29:01, 12.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0333330631256104, dino_loss: 0.6484375, depth_loss: 0.08145272731781006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8068307638168335, dino_loss: 0.6640625, depth_loss: 0.06641726940870285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4207/10000 [10:13:52<19:13:11, 11.94s/it]
                                                          
{'loss': 2.1679, 'grad_norm': 2.082003593444824, 'learning_rate': 3.345288897553806e-05, 'epoch': 0.04}

 42%|████▏     | 4207/10000 [10:13:52<19:13:11, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0096049308776855, dino_loss: 0.65625, depth_loss: 0.05253439024090767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.779377281665802, dino_loss: 0.68359375, depth_loss: 0.060706958174705505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4208/10000 [10:14:03<18:46:55, 11.67s/it]
                                                          
{'loss': 1.8178, 'grad_norm': 3.605571985244751, 'learning_rate': 3.344510807322269e-05, 'epoch': 0.04}

 42%|████▏     | 4208/10000 [10:14:03<18:46:55, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9858027696609497, dino_loss: 0.73828125, depth_loss: 0.06547708064317703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8103768229484558, dino_loss: 0.74609375, depth_loss: 0.07278205454349518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4209/10000 [10:14:14<18:35:39, 11.56s/it]
                                                          
{'loss': 1.9958, 'grad_norm': 3.9482085704803467, 'learning_rate': 3.343732624736301e-05, 'epoch': 0.04}

 42%|████▏     | 4209/10000 [10:14:14<18:35:39, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8256065845489502, dino_loss: 0.7109375, depth_loss: 0.04827575013041496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.792677640914917, dino_loss: 0.62109375, depth_loss: 0.05409819632768631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4210/10000 [10:14:26<18:50:50, 11.72s/it]
                                                          
{'loss': 2.2334, 'grad_norm': 2.5546133518218994, 'learning_rate': 3.342954349881001e-05, 'epoch': 0.04}

 42%|████▏     | 4210/10000 [10:14:26<18:50:50, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9170352220535278, dino_loss: 0.73828125, depth_loss: 0.0638265386223793, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8613266348838806, dino_loss: 0.71484375, depth_loss: 0.07146018743515015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4211/10000 [10:14:38<18:33:35, 11.54s/it]
                                                          
{'loss': 2.3064, 'grad_norm': 3.6419260501861572, 'learning_rate': 3.342175982841481e-05, 'epoch': 0.04}

 42%|████▏     | 4211/10000 [10:14:38<18:33:35, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8094070553779602, dino_loss: 0.7109375, depth_loss: 0.05402843654155731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8480672240257263, dino_loss: 0.6796875, depth_loss: 0.05051477998495102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4212/10000 [10:14:49<18:36:16, 11.57s/it]
                                                          
{'loss': 1.9367, 'grad_norm': 3.2978193759918213, 'learning_rate': 3.341397523702862e-05, 'epoch': 0.04}

 42%|████▏     | 4212/10000 [10:14:49<18:36:16, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0671788454055786, dino_loss: 0.72265625, depth_loss: 0.08203661441802979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8420162200927734, dino_loss: 0.73046875, depth_loss: 0.059779226779937744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4213/10000 [10:15:01<18:35:31, 11.57s/it]
                                                          
{'loss': 2.3255, 'grad_norm': 3.6504194736480713, 'learning_rate': 3.340618972550274e-05, 'epoch': 0.04}

 42%|████▏     | 4213/10000 [10:15:01<18:35:31, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.747341513633728, dino_loss: 0.63671875, depth_loss: 0.04371672123670578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9133039116859436, dino_loss: 0.71875, depth_loss: 0.05594654008746147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4214/10000 [10:15:15<19:53:27, 12.38s/it]
                                                          
{'loss': 2.5206, 'grad_norm': 4.093487739562988, 'learning_rate': 3.3398403294688593e-05, 'epoch': 0.04}

 42%|████▏     | 4214/10000 [10:15:15<19:53:27, 12.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7060983180999756, dino_loss: 0.640625, depth_loss: 0.055473268032073975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7692162394523621, dino_loss: 0.73046875, depth_loss: 0.07396445423364639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4215/10000 [10:15:26<19:23:44, 12.07s/it]
                                                          
{'loss': 1.8045, 'grad_norm': 4.331210136413574, 'learning_rate': 3.33906159454377e-05, 'epoch': 0.04}

 42%|████▏     | 4215/10000 [10:15:26<19:23:44, 12.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.887764573097229, dino_loss: 0.703125, depth_loss: 0.0441276840865612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8718605637550354, dino_loss: 0.71875, depth_loss: 0.060311365872621536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4216/10000 [10:15:39<19:43:25, 12.28s/it]
                                                          
{'loss': 2.4343, 'grad_norm': 3.7410449981689453, 'learning_rate': 3.338282767860165e-05, 'epoch': 0.04}

 42%|████▏     | 4216/10000 [10:15:39<19:43:25, 12.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8506881594657898, dino_loss: 0.6484375, depth_loss: 0.05717701464891434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8607637286186218, dino_loss: 0.65625, depth_loss: 0.06644455343484879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4217/10000 [10:15:51<19:24:20, 12.08s/it]
                                                          
{'loss': 2.1109, 'grad_norm': 3.2095682621002197, 'learning_rate': 3.3375038495032165e-05, 'epoch': 0.04}

 42%|████▏     | 4217/10000 [10:15:51<19:24:20, 12.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8017690777778625, dino_loss: 0.66796875, depth_loss: 0.0741155818104744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.931800901889801, dino_loss: 0.671875, depth_loss: 0.06642261147499084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4218/10000 [10:16:03<19:17:48, 12.01s/it]
                                                          
{'loss': 1.9749, 'grad_norm': 3.8352246284484863, 'learning_rate': 3.3367248395581076e-05, 'epoch': 0.04}

 42%|████▏     | 4218/10000 [10:16:03<19:17:48, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.949202299118042, dino_loss: 0.6640625, depth_loss: 0.05053219944238663, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9606025218963623, dino_loss: 0.734375, depth_loss: 0.06094015762209892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4219/10000 [10:16:14<19:03:15, 11.87s/it]
                                                          
{'loss': 2.3474, 'grad_norm': 3.8136720657348633, 'learning_rate': 3.3359457381100276e-05, 'epoch': 0.04}

 42%|████▏     | 4219/10000 [10:16:14<19:03:15, 11.87s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.752631664276123, dino_loss: 0.66796875, depth_loss: 0.059216734021902084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8783949017524719, dino_loss: 0.70703125, depth_loss: 0.06352182477712631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4220/10000 [10:16:26<18:53:10, 11.76s/it]
                                                          
{'loss': 2.1579, 'grad_norm': 3.4051501750946045, 'learning_rate': 3.335166545244178e-05, 'epoch': 0.04}

 42%|████▏     | 4220/10000 [10:16:26<18:53:10, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7777582406997681, dino_loss: 0.62109375, depth_loss: 0.043443068861961365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8293135166168213, dino_loss: 0.703125, depth_loss: 0.07458684593439102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4221/10000 [10:16:37<18:48:13, 11.71s/it]
                                                          
{'loss': 2.172, 'grad_norm': 3.0376267433166504, 'learning_rate': 3.334387261045771e-05, 'epoch': 0.04}

 42%|████▏     | 4221/10000 [10:16:37<18:48:13, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9410752654075623, dino_loss: 0.67578125, depth_loss: 0.08194379508495331, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7516430020332336, dino_loss: 0.65625, depth_loss: 0.051685746759176254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4222/10000 [10:16:49<18:38:45, 11.62s/it]
                                                          
{'loss': 2.3395, 'grad_norm': 2.2201569080352783, 'learning_rate': 3.3336078856000276e-05, 'epoch': 0.04}

 42%|████▏     | 4222/10000 [10:16:49<18:38:45, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8746263384819031, dino_loss: 0.6640625, depth_loss: 0.05434359237551689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8639436364173889, dino_loss: 0.6484375, depth_loss: 0.05316651239991188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4223/10000 [10:17:00<18:38:36, 11.62s/it]
                                                          
{'loss': 2.0899, 'grad_norm': 3.5531227588653564, 'learning_rate': 3.3328284189921795e-05, 'epoch': 0.04}

 42%|████▏     | 4223/10000 [10:17:00<18:38:36, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.927012026309967, dino_loss: 0.69140625, depth_loss: 0.058288637548685074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8697156310081482, dino_loss: 0.73828125, depth_loss: 0.07611437886953354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4224/10000 [10:17:12<18:38:13, 11.62s/it]
                                                          
{'loss': 2.4072, 'grad_norm': 4.542884349822998, 'learning_rate': 3.332048861307467e-05, 'epoch': 0.04}

 42%|████▏     | 4224/10000 [10:17:12<18:38:13, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8733856678009033, dino_loss: 0.64453125, depth_loss: 0.07794167101383209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.884524941444397, dino_loss: 0.66796875, depth_loss: 0.060048285871744156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4225/10000 [10:17:23<18:22:51, 11.46s/it]
                                                          
{'loss': 2.2371, 'grad_norm': 3.8512489795684814, 'learning_rate': 3.3312692126311425e-05, 'epoch': 0.04}

 42%|████▏     | 4225/10000 [10:17:23<18:22:51, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.731006383895874, dino_loss: 0.6953125, depth_loss: 0.06374406069517136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9436138272285461, dino_loss: 0.73828125, depth_loss: 0.07234443724155426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4226/10000 [10:17:34<18:19:00, 11.42s/it]
                                                          
{'loss': 1.9485, 'grad_norm': 2.568688154220581, 'learning_rate': 3.330489473048467e-05, 'epoch': 0.04}

 42%|████▏     | 4226/10000 [10:17:34<18:19:00, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0227140188217163, dino_loss: 0.671875, depth_loss: 0.08032552897930145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8967731595039368, dino_loss: 0.67578125, depth_loss: 0.07434304058551788, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4227/10000 [10:17:46<18:29:53, 11.54s/it]
                                                          
{'loss': 2.6335, 'grad_norm': 7.916805267333984, 'learning_rate': 3.32970964264471e-05, 'epoch': 0.04}

 42%|████▏     | 4227/10000 [10:17:46<18:29:53, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9026989340782166, dino_loss: 0.63671875, depth_loss: 0.0705278292298317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7526036500930786, dino_loss: 0.68359375, depth_loss: 0.050813350826501846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4228/10000 [10:17:58<18:32:25, 11.56s/it]
                                                          
{'loss': 1.9801, 'grad_norm': 2.569992780685425, 'learning_rate': 3.3289297215051553e-05, 'epoch': 0.04}

 42%|████▏     | 4228/10000 [10:17:58<18:32:25, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.029180645942688, dino_loss: 0.71875, depth_loss: 0.055245473980903625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9413750767707825, dino_loss: 0.71875, depth_loss: 0.06441201269626617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4229/10000 [10:18:09<18:34:00, 11.58s/it]
                                                          
{'loss': 2.6026, 'grad_norm': 4.453756809234619, 'learning_rate': 3.328149709715091e-05, 'epoch': 0.04}

 42%|████▏     | 4229/10000 [10:18:09<18:34:00, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9254047870635986, dino_loss: 0.703125, depth_loss: 0.05151636153459549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8312503695487976, dino_loss: 0.72265625, depth_loss: 0.07580181956291199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4230/10000 [10:18:20<18:12:38, 11.36s/it]
                                                          
{'loss': 1.8503, 'grad_norm': 2.6264114379882812, 'learning_rate': 3.327369607359821e-05, 'epoch': 0.04}

 42%|████▏     | 4230/10000 [10:18:20<18:12:38, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9926807880401611, dino_loss: 0.7109375, depth_loss: 0.07116203010082245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8892495632171631, dino_loss: 0.6875, depth_loss: 0.05538443103432655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4231/10000 [10:18:31<18:09:30, 11.33s/it]
                                                          
{'loss': 2.242, 'grad_norm': 4.75861120223999, 'learning_rate': 3.326589414524654e-05, 'epoch': 0.04}

 42%|████▏     | 4231/10000 [10:18:31<18:09:30, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7495157122612, dino_loss: 0.68359375, depth_loss: 0.04943227022886276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7565401792526245, dino_loss: 0.71875, depth_loss: 0.07679787278175354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4232/10000 [10:18:43<18:16:02, 11.40s/it]
                                                          
{'loss': 1.7816, 'grad_norm': 4.655515193939209, 'learning_rate': 3.325809131294912e-05, 'epoch': 0.04}

 42%|████▏     | 4232/10000 [10:18:43<18:16:02, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8151792287826538, dino_loss: 0.67578125, depth_loss: 0.061780959367752075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0604608058929443, dino_loss: 0.73046875, depth_loss: 0.06348947435617447, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4233/10000 [10:18:55<18:31:42, 11.57s/it]
                                                          
{'loss': 1.8865, 'grad_norm': 7.702299118041992, 'learning_rate': 3.325028757755924e-05, 'epoch': 0.04}

 42%|████▏     | 4233/10000 [10:18:55<18:31:42, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.006351113319397, dino_loss: 0.6796875, depth_loss: 0.06930120289325714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7878094911575317, dino_loss: 0.6328125, depth_loss: 0.05109841376543045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4234/10000 [10:19:06<18:24:09, 11.49s/it]
                                                          
{'loss': 1.9308, 'grad_norm': 4.3648176193237305, 'learning_rate': 3.324248293993033e-05, 'epoch': 0.04}

 42%|████▏     | 4234/10000 [10:19:06<18:24:09, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9531851410865784, dino_loss: 0.6484375, depth_loss: 0.05503903701901436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9210891127586365, dino_loss: 0.7421875, depth_loss: 0.08096114546060562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4235/10000 [10:19:18<18:40:03, 11.66s/it]
                                                          
{'loss': 2.4812, 'grad_norm': 2.720180034637451, 'learning_rate': 3.3234677400915865e-05, 'epoch': 0.04}

 42%|████▏     | 4235/10000 [10:19:18<18:40:03, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0679348707199097, dino_loss: 0.71875, depth_loss: 0.05080930143594742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9582390785217285, dino_loss: 0.71484375, depth_loss: 0.08276379853487015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4236/10000 [10:19:30<18:44:11, 11.70s/it]
                                                          
{'loss': 2.5692, 'grad_norm': 3.6674551963806152, 'learning_rate': 3.322687096136947e-05, 'epoch': 0.04}

 42%|████▏     | 4236/10000 [10:19:30<18:44:11, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0618646144866943, dino_loss: 0.7265625, depth_loss: 0.07604194432497025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.798591136932373, dino_loss: 0.671875, depth_loss: 0.05653339624404907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4237/10000 [10:19:42<18:52:55, 11.80s/it]
                                                          
{'loss': 2.573, 'grad_norm': 1.8455675840377808, 'learning_rate': 3.321906362214482e-05, 'epoch': 0.04}

 42%|████▏     | 4237/10000 [10:19:42<18:52:55, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8551393747329712, dino_loss: 0.73046875, depth_loss: 0.07628809660673141, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7673958539962769, dino_loss: 0.74609375, depth_loss: 0.06781260669231415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4238/10000 [10:19:55<19:10:19, 11.98s/it]
                                                          
{'loss': 2.7018, 'grad_norm': 5.2171735763549805, 'learning_rate': 3.321125538409574e-05, 'epoch': 0.04}

 42%|████▏     | 4238/10000 [10:19:55<19:10:19, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9732723236083984, dino_loss: 0.6640625, depth_loss: 0.050817232578992844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9199979901313782, dino_loss: 0.66796875, depth_loss: 0.057855620980262756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4239/10000 [10:20:06<19:03:02, 11.90s/it]
                                                          
{'loss': 2.4484, 'grad_norm': 7.567327499389648, 'learning_rate': 3.3203446248076117e-05, 'epoch': 0.04}

 42%|████▏     | 4239/10000 [10:20:06<19:03:02, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6779170632362366, dino_loss: 0.6171875, depth_loss: 0.045319102704524994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.965785562992096, dino_loss: 0.71484375, depth_loss: 0.05511225014925003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4240/10000 [10:20:18<18:53:09, 11.80s/it]
                                                          
{'loss': 1.9379, 'grad_norm': 2.2063236236572266, 'learning_rate': 3.319563621493994e-05, 'epoch': 0.04}

 42%|████▏     | 4240/10000 [10:20:18<18:53:09, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8239997625350952, dino_loss: 0.6328125, depth_loss: 0.043056391179561615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8243249654769897, dino_loss: 0.69140625, depth_loss: 0.06261710822582245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4241/10000 [10:20:29<18:43:16, 11.70s/it]
                                                          
{'loss': 1.8623, 'grad_norm': 3.4237945079803467, 'learning_rate': 3.318782528554132e-05, 'epoch': 0.04}

 42%|████▏     | 4241/10000 [10:20:29<18:43:16, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6915016770362854, dino_loss: 0.62890625, depth_loss: 0.05139007046818733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592529892921448, dino_loss: 0.734375, depth_loss: 0.06054399907588959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4242/10000 [10:20:41<18:46:08, 11.73s/it]
                                                          
{'loss': 1.9309, 'grad_norm': 4.730388164520264, 'learning_rate': 3.318001346073443e-05, 'epoch': 0.04}

 42%|████▏     | 4242/10000 [10:20:41<18:46:08, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8577989339828491, dino_loss: 0.62890625, depth_loss: 0.048237062990665436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8004185557365417, dino_loss: 0.69140625, depth_loss: 0.055648572742938995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4243/10000 [10:20:53<18:54:58, 11.83s/it]
                                                          
{'loss': 1.9243, 'grad_norm': 1.5881383419036865, 'learning_rate': 3.3172200741373563e-05, 'epoch': 0.04}

 42%|████▏     | 4243/10000 [10:20:53<18:54:58, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9494674205780029, dino_loss: 0.72265625, depth_loss: 0.06813279539346695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8955559134483337, dino_loss: 0.66796875, depth_loss: 0.06689351797103882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4244/10000 [10:21:05<18:41:02, 11.69s/it]
                                                          
{'loss': 2.0842, 'grad_norm': 2.5153110027313232, 'learning_rate': 3.316438712831311e-05, 'epoch': 0.04}

 42%|████▏     | 4244/10000 [10:21:05<18:41:02, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9017778038978577, dino_loss: 0.7109375, depth_loss: 0.06207769364118576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.89990234375, dino_loss: 0.6796875, depth_loss: 0.07336904853582382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4245/10000 [10:21:16<18:35:53, 11.63s/it]
                                                          
{'loss': 2.3287, 'grad_norm': 3.325153112411499, 'learning_rate': 3.3156572622407565e-05, 'epoch': 0.04}

 42%|████▏     | 4245/10000 [10:21:16<18:35:53, 11.63s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.786173939704895, dino_loss: 0.70703125, depth_loss: 0.06474001705646515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8993743062019348, dino_loss: 0.7265625, depth_loss: 0.0620710551738739, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4246/10000 [10:21:29<19:00:30, 11.89s/it]
                                                          
{'loss': 2.3441, 'grad_norm': 3.4356908798217773, 'learning_rate': 3.3148757224511496e-05, 'epoch': 0.04}

 42%|████▏     | 4246/10000 [10:21:29<19:00:30, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8339168429374695, dino_loss: 0.61328125, depth_loss: 0.051214996725320816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8032416105270386, dino_loss: 0.75390625, depth_loss: 0.06320261210203171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4247/10000 [10:21:40<18:55:38, 11.84s/it]
                                                          
{'loss': 2.4466, 'grad_norm': 5.24363374710083, 'learning_rate': 3.314094093547959e-05, 'epoch': 0.04}

 42%|████▏     | 4247/10000 [10:21:40<18:55:38, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9725250005722046, dino_loss: 0.67578125, depth_loss: 0.07007457315921783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9528917074203491, dino_loss: 0.70703125, depth_loss: 0.07472912222146988, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4248/10000 [10:21:52<18:55:51, 11.85s/it]
                                                          
{'loss': 2.5866, 'grad_norm': 6.392857551574707, 'learning_rate': 3.313312375616662e-05, 'epoch': 0.04}

 42%|████▏     | 4248/10000 [10:21:52<18:55:51, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9596600532531738, dino_loss: 0.6796875, depth_loss: 0.06253856420516968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6777380704879761, dino_loss: 0.6796875, depth_loss: 0.06918717175722122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▏     | 4249/10000 [10:22:04<18:42:04, 11.71s/it]
                                                          
{'loss': 2.0558, 'grad_norm': 3.1582272052764893, 'learning_rate': 3.312530568742746e-05, 'epoch': 0.04}

 42%|████▏     | 4249/10000 [10:22:04<18:42:04, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7408931255340576, dino_loss: 0.703125, depth_loss: 0.05611070618033409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.821427047252655, dino_loss: 0.6640625, depth_loss: 0.05192191153764725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 42%|████▎     | 4250/10000 [10:22:16<18:49:53, 11.79s/it]
                                                          
{'loss': 1.9051, 'grad_norm': 2.680584669113159, 'learning_rate': 3.311748673011709e-05, 'epoch': 0.04}

 42%|████▎     | 4250/10000 [10:22:16<18:49:53, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8381428718566895, dino_loss: 0.7265625, depth_loss: 0.0706767588853836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.746975839138031, dino_loss: 0.6015625, depth_loss: 0.04991837590932846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4251/10000 [10:22:28<18:57:19, 11.87s/it]
                                                          
{'loss': 1.9426, 'grad_norm': 2.2736330032348633, 'learning_rate': 3.310966688509058e-05, 'epoch': 0.04}

 43%|████▎     | 4251/10000 [10:22:28<18:57:19, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7878131866455078, dino_loss: 0.6796875, depth_loss: 0.044918835163116455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8003426790237427, dino_loss: 0.6953125, depth_loss: 0.05981696397066116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4252/10000 [10:22:39<18:58:22, 11.88s/it]
                                                          
{'loss': 2.1791, 'grad_norm': 1.9799538850784302, 'learning_rate': 3.310184615320309e-05, 'epoch': 0.04}

 43%|████▎     | 4252/10000 [10:22:40<18:58:22, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9481340646743774, dino_loss: 0.72265625, depth_loss: 0.06181660667061806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.720906674861908, dino_loss: 0.60546875, depth_loss: 0.048225779086351395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4253/10000 [10:22:52<19:07:00, 11.98s/it]
                                                          
{'loss': 2.0281, 'grad_norm': 2.336535692214966, 'learning_rate': 3.309402453530988e-05, 'epoch': 0.04}

 43%|████▎     | 4253/10000 [10:22:52<19:07:00, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7788386940956116, dino_loss: 0.66796875, depth_loss: 0.059520822018384933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7660333514213562, dino_loss: 0.68359375, depth_loss: 0.0642291009426117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4254/10000 [10:23:04<19:06:33, 11.97s/it]
                                                          
{'loss': 2.0092, 'grad_norm': 4.512166976928711, 'learning_rate': 3.308620203226632e-05, 'epoch': 0.04}

 43%|████▎     | 4254/10000 [10:23:04<19:06:33, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8266973495483398, dino_loss: 0.66796875, depth_loss: 0.05659194663167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.037049412727356, dino_loss: 0.64453125, depth_loss: 0.07671385258436203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4255/10000 [10:23:17<19:34:18, 12.26s/it]
                                                          
{'loss': 2.8683, 'grad_norm': 3.493345022201538, 'learning_rate': 3.307837864492786e-05, 'epoch': 0.04}

 43%|████▎     | 4255/10000 [10:23:17<19:34:18, 12.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0845999717712402, dino_loss: 0.69140625, depth_loss: 0.0618845634162426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9442543983459473, dino_loss: 0.69140625, depth_loss: 0.058859918266534805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4256/10000 [10:23:28<19:03:46, 11.95s/it]
                                                          
{'loss': 2.2641, 'grad_norm': 3.9420008659362793, 'learning_rate': 3.307055437415006e-05, 'epoch': 0.04}

 43%|████▎     | 4256/10000 [10:23:28<19:03:46, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8705525398254395, dino_loss: 0.6796875, depth_loss: 0.05741007626056671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9133187532424927, dino_loss: 0.7265625, depth_loss: 0.05892639979720116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4257/10000 [10:23:40<19:00:37, 11.92s/it]
                                                          
{'loss': 2.416, 'grad_norm': 3.952329158782959, 'learning_rate': 3.306272922078857e-05, 'epoch': 0.04}

 43%|████▎     | 4257/10000 [10:23:40<19:00:37, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8667529821395874, dino_loss: 0.703125, depth_loss: 0.07581273466348648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9100990295410156, dino_loss: 0.71484375, depth_loss: 0.057065729051828384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4258/10000 [10:23:51<18:51:40, 11.83s/it]
                                                          
{'loss': 1.8465, 'grad_norm': 4.548449993133545, 'learning_rate': 3.3054903185699135e-05, 'epoch': 0.04}

 43%|████▎     | 4258/10000 [10:23:51<18:51:40, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6794548034667969, dino_loss: 0.59375, depth_loss: 0.047312360256910324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.779800295829773, dino_loss: 0.65625, depth_loss: 0.07320718467235565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4259/10000 [10:24:03<18:47:47, 11.79s/it]
                                                          
{'loss': 1.691, 'grad_norm': 5.318232536315918, 'learning_rate': 3.3047076269737586e-05, 'epoch': 0.04}

 43%|████▎     | 4259/10000 [10:24:03<18:47:47, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9038555026054382, dino_loss: 0.73046875, depth_loss: 0.056864168494939804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9863703846931458, dino_loss: 0.67578125, depth_loss: 0.06806334108114243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4260/10000 [10:24:15<18:41:33, 11.72s/it]
                                                          
{'loss': 2.2928, 'grad_norm': 1.8936216831207275, 'learning_rate': 3.3039248473759885e-05, 'epoch': 0.04}

 43%|████▎     | 4260/10000 [10:24:15<18:41:33, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9108516573905945, dino_loss: 0.65234375, depth_loss: 0.046174727380275726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9071007966995239, dino_loss: 0.66015625, depth_loss: 0.0478401854634285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4261/10000 [10:24:27<18:59:15, 11.91s/it]
                                                          
{'loss': 2.2835, 'grad_norm': 6.516697883605957, 'learning_rate': 3.303141979862206e-05, 'epoch': 0.04}

 43%|████▎     | 4261/10000 [10:24:27<18:59:15, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8424109816551208, dino_loss: 0.703125, depth_loss: 0.06919609755277634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8430848121643066, dino_loss: 0.68359375, depth_loss: 0.061195798218250275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4262/10000 [10:24:39<19:06:09, 11.98s/it]
                                                          
{'loss': 2.2445, 'grad_norm': 4.754917144775391, 'learning_rate': 3.302359024518024e-05, 'epoch': 0.04}

 43%|████▎     | 4262/10000 [10:24:39<19:06:09, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8341942429542542, dino_loss: 0.73828125, depth_loss: 0.06813918054103851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8173759579658508, dino_loss: 0.67578125, depth_loss: 0.06263720989227295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4263/10000 [10:24:51<19:02:18, 11.95s/it]
                                                          
{'loss': 2.4953, 'grad_norm': 6.107509613037109, 'learning_rate': 3.301575981429065e-05, 'epoch': 0.04}

 43%|████▎     | 4263/10000 [10:24:51<19:02:18, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8785886168479919, dino_loss: 0.64453125, depth_loss: 0.06550165265798569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9500648975372314, dino_loss: 0.6484375, depth_loss: 0.046064335852861404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4264/10000 [10:25:03<19:09:28, 12.02s/it]
                                                          
{'loss': 2.0467, 'grad_norm': 2.1726794242858887, 'learning_rate': 3.3007928506809624e-05, 'epoch': 0.04}

 43%|████▎     | 4264/10000 [10:25:03<19:09:28, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8006212711334229, dino_loss: 0.671875, depth_loss: 0.05570479854941368, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8625010251998901, dino_loss: 0.69140625, depth_loss: 0.06813941895961761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4265/10000 [10:25:15<19:11:20, 12.05s/it]
                                                          
{'loss': 2.185, 'grad_norm': 3.4387717247009277, 'learning_rate': 3.300009632359357e-05, 'epoch': 0.04}

 43%|████▎     | 4265/10000 [10:25:15<19:11:20, 12.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7863878607749939, dino_loss: 0.625, depth_loss: 0.05530431121587753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8545698523521423, dino_loss: 0.734375, depth_loss: 0.045401640236377716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4266/10000 [10:25:27<19:13:33, 12.07s/it]
                                                          
{'loss': 2.1557, 'grad_norm': 3.1552484035491943, 'learning_rate': 3.299226326549901e-05, 'epoch': 0.04}

 43%|████▎     | 4266/10000 [10:25:27<19:13:33, 12.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8812800049781799, dino_loss: 0.6796875, depth_loss: 0.05792514979839325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8189184069633484, dino_loss: 0.66796875, depth_loss: 0.07923213392496109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4267/10000 [10:25:39<18:54:24, 11.87s/it]
                                                          
{'loss': 2.1831, 'grad_norm': 2.5003039836883545, 'learning_rate': 3.298442933338256e-05, 'epoch': 0.04}

 43%|████▎     | 4267/10000 [10:25:39<18:54:24, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8789671659469604, dino_loss: 0.78125, depth_loss: 0.06795105338096619, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0286107063293457, dino_loss: 0.6796875, depth_loss: 0.05935683846473694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4268/10000 [10:25:50<18:47:40, 11.80s/it]
                                                          
{'loss': 2.5321, 'grad_norm': 3.402971029281616, 'learning_rate': 3.297659452810092e-05, 'epoch': 0.04}

 43%|████▎     | 4268/10000 [10:25:50<18:47:40, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.777167022228241, dino_loss: 0.734375, depth_loss: 0.04749661311507225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8261306285858154, dino_loss: 0.65234375, depth_loss: 0.07453156262636185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4269/10000 [10:26:02<18:28:05, 11.60s/it]
                                                          
{'loss': 2.0886, 'grad_norm': 1.7876968383789062, 'learning_rate': 3.296875885051089e-05, 'epoch': 0.04}

 43%|████▎     | 4269/10000 [10:26:02<18:28:05, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9141998291015625, dino_loss: 0.73828125, depth_loss: 0.06103241816163063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9403872489929199, dino_loss: 0.7578125, depth_loss: 0.07174607366323471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4270/10000 [10:26:14<18:42:23, 11.75s/it]
                                                          
{'loss': 2.3941, 'grad_norm': 5.312716007232666, 'learning_rate': 3.2960922301469385e-05, 'epoch': 0.04}

 43%|████▎     | 4270/10000 [10:26:14<18:42:23, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.879992663860321, dino_loss: 0.6640625, depth_loss: 0.05513409897685051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8420228958129883, dino_loss: 0.69140625, depth_loss: 0.06008724868297577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4271/10000 [10:26:25<18:44:59, 11.78s/it]
                                                          
{'loss': 2.1071, 'grad_norm': 2.880190372467041, 'learning_rate': 3.295308488183338e-05, 'epoch': 0.04}

 43%|████▎     | 4271/10000 [10:26:25<18:44:59, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.780449390411377, dino_loss: 0.703125, depth_loss: 0.047136373817920685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0751715898513794, dino_loss: 0.6640625, depth_loss: 0.05635999143123627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4272/10000 [10:26:38<19:06:53, 12.01s/it]
                                                          
{'loss': 2.4152, 'grad_norm': 2.3938419818878174, 'learning_rate': 3.294524659245996e-05, 'epoch': 0.04}

 43%|████▎     | 4272/10000 [10:26:38<19:06:53, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9763863682746887, dino_loss: 0.703125, depth_loss: 0.07304246723651886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8909256458282471, dino_loss: 0.6875, depth_loss: 0.05243110656738281, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4273/10000 [10:26:50<18:58:30, 11.93s/it]
                                                          
{'loss': 2.511, 'grad_norm': 2.2519702911376953, 'learning_rate': 3.2937407434206334e-05, 'epoch': 0.04}

 43%|████▎     | 4273/10000 [10:26:50<18:58:30, 11.93s/it]the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7961199879646301, dino_loss: 0.63671875, depth_loss: 0.0541665256023407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9593140482902527, dino_loss: 0.6953125, depth_loss: 0.0602087676525116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4274/10000 [10:27:01<18:38:22, 11.72s/it]
                                                          
{'loss': 1.6634, 'grad_norm': 3.2022182941436768, 'learning_rate': 3.292956740792976e-05, 'epoch': 0.04}

 43%|████▎     | 4274/10000 [10:27:01<18:38:22, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8583248257637024, dino_loss: 0.64453125, depth_loss: 0.05205119773745537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8434615731239319, dino_loss: 0.78125, depth_loss: 0.06578608602285385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4275/10000 [10:27:12<18:26:52, 11.60s/it]
                                                          
{'loss': 1.986, 'grad_norm': 3.0851926803588867, 'learning_rate': 3.2921726514487614e-05, 'epoch': 0.04}

 43%|████▎     | 4275/10000 [10:27:12<18:26:52, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9156515002250671, dino_loss: 0.71484375, depth_loss: 0.056706517934799194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0239979028701782, dino_loss: 0.67578125, depth_loss: 0.06658916175365448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4276/10000 [10:27:24<18:29:59, 11.64s/it]
                                                          
{'loss': 2.4848, 'grad_norm': 3.205518960952759, 'learning_rate': 3.291388475473737e-05, 'epoch': 0.04}

 43%|████▎     | 4276/10000 [10:27:24<18:29:59, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7976238131523132, dino_loss: 0.6640625, depth_loss: 0.05506402999162674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8665685057640076, dino_loss: 0.67578125, depth_loss: 0.06887833029031754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4277/10000 [10:27:36<18:38:29, 11.73s/it]
                                                          
{'loss': 2.246, 'grad_norm': 3.708808183670044, 'learning_rate': 3.290604212953658e-05, 'epoch': 0.04}

 43%|████▎     | 4277/10000 [10:27:36<18:38:29, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7622483968734741, dino_loss: 0.6953125, depth_loss: 0.06372956931591034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9761691093444824, dino_loss: 0.6875, depth_loss: 0.059689849615097046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4278/10000 [10:27:47<18:22:39, 11.56s/it]
                                                          
{'loss': 1.9337, 'grad_norm': 4.568928241729736, 'learning_rate': 3.2898198639742915e-05, 'epoch': 0.04}

 43%|████▎     | 4278/10000 [10:27:47<18:22:39, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8289965391159058, dino_loss: 0.72265625, depth_loss: 0.06027469411492348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9060971736907959, dino_loss: 0.7109375, depth_loss: 0.06306455284357071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4279/10000 [10:27:58<18:15:53, 11.49s/it]
                                                          
{'loss': 1.8727, 'grad_norm': 6.029495716094971, 'learning_rate': 3.2890354286214114e-05, 'epoch': 0.04}

 43%|████▎     | 4279/10000 [10:27:58<18:15:53, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7453763484954834, dino_loss: 0.7109375, depth_loss: 0.04491012543439865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8648208379745483, dino_loss: 0.66796875, depth_loss: 0.07576578110456467, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4280/10000 [10:28:10<18:22:25, 11.56s/it]
                                                          
{'loss': 1.7012, 'grad_norm': 2.9346089363098145, 'learning_rate': 3.2882509069808044e-05, 'epoch': 0.04}

 43%|████▎     | 4280/10000 [10:28:10<18:22:25, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7131423354148865, dino_loss: 0.7265625, depth_loss: 0.07487376034259796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7808513641357422, dino_loss: 0.69140625, depth_loss: 0.06687872111797333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4281/10000 [10:28:22<18:34:44, 11.70s/it]
                                                          
{'loss': 2.0499, 'grad_norm': 2.8045032024383545, 'learning_rate': 3.287466299138262e-05, 'epoch': 0.04}

 43%|████▎     | 4281/10000 [10:28:22<18:34:44, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8845871686935425, dino_loss: 0.7265625, depth_loss: 0.057509105652570724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6640912890434265, dino_loss: 0.6875, depth_loss: 0.07106716930866241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4282/10000 [10:28:34<18:38:58, 11.74s/it]
                                                          
{'loss': 2.0893, 'grad_norm': 2.0613479614257812, 'learning_rate': 3.2866816051795894e-05, 'epoch': 0.04}

 43%|████▎     | 4282/10000 [10:28:34<18:38:58, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9750047326087952, dino_loss: 0.765625, depth_loss: 0.05298122018575668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7521544098854065, dino_loss: 0.63671875, depth_loss: 0.056436628103256226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4283/10000 [10:28:46<18:35:38, 11.71s/it]
                                                          
{'loss': 2.016, 'grad_norm': 3.532701015472412, 'learning_rate': 3.2858968251906003e-05, 'epoch': 0.04}

 43%|████▎     | 4283/10000 [10:28:46<18:35:38, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8460658192634583, dino_loss: 0.70703125, depth_loss: 0.05834343284368515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8588615655899048, dino_loss: 0.7109375, depth_loss: 0.06426653265953064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4284/10000 [10:28:57<18:31:41, 11.67s/it]
                                                          
{'loss': 2.1464, 'grad_norm': 2.2129287719726562, 'learning_rate': 3.2851119592571145e-05, 'epoch': 0.04}

 43%|████▎     | 4284/10000 [10:28:57<18:31:41, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7949918508529663, dino_loss: 0.703125, depth_loss: 0.0676741674542427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9775726795196533, dino_loss: 0.6953125, depth_loss: 0.07245414704084396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4285/10000 [10:29:09<18:41:15, 11.77s/it]
                                                          
{'loss': 2.2248, 'grad_norm': 8.078058242797852, 'learning_rate': 3.284327007464966e-05, 'epoch': 0.04}

 43%|████▎     | 4285/10000 [10:29:09<18:41:15, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9766116738319397, dino_loss: 0.6484375, depth_loss: 0.06161753088235855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9303596019744873, dino_loss: 0.68359375, depth_loss: 0.05125297233462334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4286/10000 [10:29:21<18:35:50, 11.72s/it]
                                                          
{'loss': 3.0032, 'grad_norm': 2.4483001232147217, 'learning_rate': 3.283541969899996e-05, 'epoch': 0.04}

 43%|████▎     | 4286/10000 [10:29:21<18:35:50, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8082042336463928, dino_loss: 0.63671875, depth_loss: 0.06634177267551422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.779792070388794, dino_loss: 0.68359375, depth_loss: 0.06264642626047134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4287/10000 [10:29:33<18:43:47, 11.80s/it]
                                                          
{'loss': 2.3015, 'grad_norm': 2.215592622756958, 'learning_rate': 3.282756846648052e-05, 'epoch': 0.04}

 43%|████▎     | 4287/10000 [10:29:33<18:43:47, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7739717960357666, dino_loss: 0.71484375, depth_loss: 0.06493788957595825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5946473479270935, dino_loss: 0.5859375, depth_loss: 0.04561549425125122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4288/10000 [10:29:44<18:37:47, 11.74s/it]
                                                          
{'loss': 1.6304, 'grad_norm': 1.9844385385513306, 'learning_rate': 3.281971637794998e-05, 'epoch': 0.04}

 43%|████▎     | 4288/10000 [10:29:44<18:37:47, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9663690328598022, dino_loss: 0.71484375, depth_loss: 0.06975630670785904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.848711371421814, dino_loss: 0.6796875, depth_loss: 0.064303919672966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4289/10000 [10:29:56<18:28:15, 11.64s/it]
                                                          
{'loss': 2.3373, 'grad_norm': 3.2986278533935547, 'learning_rate': 3.281186343426701e-05, 'epoch': 0.04}

 43%|████▎     | 4289/10000 [10:29:56<18:28:15, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7991836071014404, dino_loss: 0.6328125, depth_loss: 0.054078686982393265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7957659959793091, dino_loss: 0.734375, depth_loss: 0.09534207731485367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4290/10000 [10:30:08<18:49:08, 11.86s/it]
                                                          
{'loss': 1.8765, 'grad_norm': 3.95603346824646, 'learning_rate': 3.28040096362904e-05, 'epoch': 0.04}

 43%|████▎     | 4290/10000 [10:30:08<18:49:08, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8951514363288879, dino_loss: 0.671875, depth_loss: 0.0880638062953949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9633979797363281, dino_loss: 0.6875, depth_loss: 0.08402472734451294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4291/10000 [10:30:22<19:36:06, 12.36s/it]
                                                          
{'loss': 2.6613, 'grad_norm': 4.462499618530273, 'learning_rate': 3.2796154984879025e-05, 'epoch': 0.04}

 43%|████▎     | 4291/10000 [10:30:22<19:36:06, 12.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9032928943634033, dino_loss: 0.734375, depth_loss: 0.07717064768075943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8165670037269592, dino_loss: 0.6640625, depth_loss: 0.05858245864510536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4292/10000 [10:30:33<19:17:36, 12.17s/it]
                                                          
{'loss': 2.211, 'grad_norm': 3.491607904434204, 'learning_rate': 3.2788299480891866e-05, 'epoch': 0.04}

 43%|████▎     | 4292/10000 [10:30:33<19:17:36, 12.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9536580443382263, dino_loss: 0.65234375, depth_loss: 0.06428489089012146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8669419288635254, dino_loss: 0.6796875, depth_loss: 0.04954808950424194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4293/10000 [10:30:46<19:15:54, 12.15s/it]
                                                          
{'loss': 2.243, 'grad_norm': 1.750543236732483, 'learning_rate': 3.2780443125187986e-05, 'epoch': 0.04}

 43%|████▎     | 4293/10000 [10:30:46<19:15:54, 12.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0084675550460815, dino_loss: 0.73828125, depth_loss: 0.051733870059251785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8116281032562256, dino_loss: 0.7578125, depth_loss: 0.07018182426691055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4294/10000 [10:30:57<18:54:24, 11.93s/it]
                                                          
{'loss': 2.1658, 'grad_norm': 3.6609480381011963, 'learning_rate': 3.2772585918626534e-05, 'epoch': 0.04}

 43%|████▎     | 4294/10000 [10:30:57<18:54:24, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9770145416259766, dino_loss: 0.703125, depth_loss: 0.09089051187038422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9248735308647156, dino_loss: 0.6640625, depth_loss: 0.0672166645526886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4295/10000 [10:31:09<18:44:01, 11.82s/it]
                                                          
{'loss': 2.5753, 'grad_norm': 10.434111595153809, 'learning_rate': 3.276472786206679e-05, 'epoch': 0.04}

 43%|████▎     | 4295/10000 [10:31:09<18:44:01, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9071019887924194, dino_loss: 0.71484375, depth_loss: 0.06262507289648056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9502867460250854, dino_loss: 0.67578125, depth_loss: 0.06268659979104996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4296/10000 [10:31:20<18:32:31, 11.70s/it]
                                                          
{'loss': 1.8842, 'grad_norm': 6.286278247833252, 'learning_rate': 3.275686895636807e-05, 'epoch': 0.04}

 43%|████▎     | 4296/10000 [10:31:20<18:32:31, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.951257586479187, dino_loss: 0.6875, depth_loss: 0.07085834443569183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7150618433952332, dino_loss: 0.6875, depth_loss: 0.06497389823198318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4297/10000 [10:31:31<18:16:46, 11.54s/it]
                                                          
{'loss': 1.955, 'grad_norm': 2.192120313644409, 'learning_rate': 3.2749009202389814e-05, 'epoch': 0.04}

 43%|████▎     | 4297/10000 [10:31:31<18:16:46, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.82281893491745, dino_loss: 0.6875, depth_loss: 0.05952595919370651, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.7972235679626465, dino_loss: 0.67578125, depth_loss: 0.058272816240787506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4298/10000 [10:31:43<18:21:30, 11.59s/it]
                                                          
{'loss': 2.0122, 'grad_norm': 4.731518745422363, 'learning_rate': 3.2741148600991576e-05, 'epoch': 0.04}

 43%|████▎     | 4298/10000 [10:31:43<18:21:30, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6926400661468506, dino_loss: 0.66796875, depth_loss: 0.057747095823287964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.883061408996582, dino_loss: 0.7578125, depth_loss: 0.08066753298044205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4299/10000 [10:31:55<18:50:21, 11.90s/it]
                                                          
{'loss': 1.722, 'grad_norm': 2.0036702156066895, 'learning_rate': 3.2733287153032966e-05, 'epoch': 0.04}

 43%|████▎     | 4299/10000 [10:31:55<18:50:21, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.759304404258728, dino_loss: 0.69140625, depth_loss: 0.06713991612195969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7751877903938293, dino_loss: 0.69921875, depth_loss: 0.047161053866147995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4300/10000 [10:32:08<18:54:07, 11.94s/it]
                                                          
{'loss': 2.2067, 'grad_norm': 3.270040273666382, 'learning_rate': 3.272542485937369e-05, 'epoch': 0.04}

 43%|████▎     | 4300/10000 [10:32:08<18:54:07, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9393473863601685, dino_loss: 0.6875, depth_loss: 0.06714645028114319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6709287762641907, dino_loss: 0.68359375, depth_loss: 0.052066870033741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4301/10000 [10:32:19<18:40:19, 11.79s/it]
                                                          
{'loss': 2.0659, 'grad_norm': 2.635401964187622, 'learning_rate': 3.271756172087357e-05, 'epoch': 0.04}

 43%|████▎     | 4301/10000 [10:32:19<18:40:19, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.7699762582778931, dino_loss: 0.671875, depth_loss: 0.053458210080862045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0260846614837646, dino_loss: 0.6953125, depth_loss: 0.05118802934885025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4302/10000 [10:32:30<18:31:47, 11.71s/it]
                                                          
{'loss': 2.3627, 'grad_norm': 1.830160140991211, 'learning_rate': 3.27096977383925e-05, 'epoch': 0.04}

 43%|████▎     | 4302/10000 [10:32:30<18:31:47, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5569941401481628, dino_loss: 0.61328125, depth_loss: 0.05213393270969391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7021116018295288, dino_loss: 0.61328125, depth_loss: 0.04745980352163315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4303/10000 [10:32:42<18:36:29, 11.76s/it]
                                                          
{'loss': 1.9288, 'grad_norm': 2.2782838344573975, 'learning_rate': 3.270183291279049e-05, 'epoch': 0.04}

 43%|████▎     | 4303/10000 [10:32:42<18:36:29, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9009453058242798, dino_loss: 0.70703125, depth_loss: 0.06428715586662292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9494835138320923, dino_loss: 0.70703125, depth_loss: 0.04909120127558708, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4304/10000 [10:32:54<18:18:52, 11.58s/it]
                                                          
{'loss': 2.0526, 'grad_norm': 4.307344913482666, 'learning_rate': 3.26939672449276e-05, 'epoch': 0.04}

 43%|████▎     | 4304/10000 [10:32:54<18:18:52, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0294840335845947, dino_loss: 0.6953125, depth_loss: 0.07511056959629059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6244178414344788, dino_loss: 0.56640625, depth_loss: 0.04072808474302292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4305/10000 [10:33:05<18:25:46, 11.65s/it]
                                                          
{'loss': 2.1766, 'grad_norm': 2.9579408168792725, 'learning_rate': 3.2686100735664024e-05, 'epoch': 0.04}

 43%|████▎     | 4305/10000 [10:33:05<18:25:46, 11.65s/it]the number of masks: 8
the number of masks: 2
the number of masks: 8
the number of masks: 8
seg_loss: 0.7591315507888794, dino_loss: 0.69921875, depth_loss: 0.06742154806852341, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8688641786575317, dino_loss: 0.68359375, depth_loss: 0.05645308643579483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4306/10000 [10:33:17<18:12:26, 11.51s/it]
                                                          
{'loss': 1.8889, 'grad_norm': 2.4457106590270996, 'learning_rate': 3.267823338586002e-05, 'epoch': 0.04}

 43%|████▎     | 4306/10000 [10:33:17<18:12:26, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9054794311523438, dino_loss: 0.73828125, depth_loss: 0.0676971822977066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7623224258422852, dino_loss: 0.67578125, depth_loss: 0.0519285649061203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4307/10000 [10:33:28<18:08:50, 11.48s/it]
                                                          
{'loss': 1.7078, 'grad_norm': 3.3466873168945312, 'learning_rate': 3.2670365196375965e-05, 'epoch': 0.04}

 43%|████▎     | 4307/10000 [10:33:28<18:08:50, 11.48s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5644365549087524, dino_loss: 0.640625, depth_loss: 0.053481847047805786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6823199391365051, dino_loss: 0.62890625, depth_loss: 0.049553729593753815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4308/10000 [10:33:40<18:14:52, 11.54s/it]
                                                          
{'loss': 1.8166, 'grad_norm': 2.489750623703003, 'learning_rate': 3.2662496168072306e-05, 'epoch': 0.04}

 43%|████▎     | 4308/10000 [10:33:40<18:14:52, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7347730398178101, dino_loss: 0.671875, depth_loss: 0.050811976194381714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7398595809936523, dino_loss: 0.72265625, depth_loss: 0.05642135068774223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4309/10000 [10:33:52<18:26:52, 11.67s/it]
                                                          
{'loss': 2.0166, 'grad_norm': 4.285405158996582, 'learning_rate': 3.265462630180959e-05, 'epoch': 0.04}

 43%|████▎     | 4309/10000 [10:33:52<18:26:52, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8961426615715027, dino_loss: 0.65625, depth_loss: 0.05263373255729675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9444438219070435, dino_loss: 0.73828125, depth_loss: 0.07329902052879333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4310/10000 [10:34:02<18:02:10, 11.41s/it]
                                                          
{'loss': 1.9274, 'grad_norm': 2.4836697578430176, 'learning_rate': 3.264675559844844e-05, 'epoch': 0.04}

 43%|████▎     | 4310/10000 [10:34:02<18:02:10, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7668166756629944, dino_loss: 0.67578125, depth_loss: 0.07366905361413956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7302268147468567, dino_loss: 0.71875, depth_loss: 0.04402150958776474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4311/10000 [10:34:14<18:01:47, 11.41s/it]
                                                          
{'loss': 2.1136, 'grad_norm': 5.535402297973633, 'learning_rate': 3.263888405884959e-05, 'epoch': 0.04}

 43%|████▎     | 4311/10000 [10:34:14<18:01:47, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8936581015586853, dino_loss: 0.6875, depth_loss: 0.06450241059064865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6134282946586609, dino_loss: 0.6328125, depth_loss: 0.052216630429029465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4312/10000 [10:34:26<18:13:20, 11.53s/it]
                                                          
{'loss': 2.178, 'grad_norm': 4.780120372772217, 'learning_rate': 3.263101168387388e-05, 'epoch': 0.04}

 43%|████▎     | 4312/10000 [10:34:26<18:13:20, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9478722810745239, dino_loss: 0.6953125, depth_loss: 0.06159844249486923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8762519359588623, dino_loss: 0.6875, depth_loss: 0.05504964664578438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4313/10000 [10:34:38<18:31:02, 11.72s/it]
                                                          
{'loss': 2.6837, 'grad_norm': 2.8333160877227783, 'learning_rate': 3.26231384743822e-05, 'epoch': 0.04}

 43%|████▎     | 4313/10000 [10:34:38<18:31:02, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0301499366760254, dino_loss: 0.72265625, depth_loss: 0.05799569934606552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9654388427734375, dino_loss: 0.71875, depth_loss: 0.057915713638067245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4314/10000 [10:34:50<18:36:26, 11.78s/it]
                                                          
{'loss': 2.5685, 'grad_norm': 2.244926691055298, 'learning_rate': 3.261526443123555e-05, 'epoch': 0.04}

 43%|████▎     | 4314/10000 [10:34:50<18:36:26, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8186298608779907, dino_loss: 0.65234375, depth_loss: 0.044731006026268005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.963164210319519, dino_loss: 0.70703125, depth_loss: 0.04631035774946213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4315/10000 [10:35:03<19:16:27, 12.21s/it]
                                                          
{'loss': 2.5228, 'grad_norm': 5.5114545822143555, 'learning_rate': 3.260738955529504e-05, 'epoch': 0.04}

 43%|████▎     | 4315/10000 [10:35:03<19:16:27, 12.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9627401828765869, dino_loss: 0.7109375, depth_loss: 0.05686809867620468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8023734092712402, dino_loss: 0.68359375, depth_loss: 0.06594155728816986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4316/10000 [10:35:15<19:07:58, 12.12s/it]
                                                          
{'loss': 2.407, 'grad_norm': 4.720245361328125, 'learning_rate': 3.259951384742184e-05, 'epoch': 0.04}

 43%|████▎     | 4316/10000 [10:35:15<19:07:58, 12.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8449822664260864, dino_loss: 0.71875, depth_loss: 0.04975200816988945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8964381814002991, dino_loss: 0.7421875, depth_loss: 0.061331212520599365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4317/10000 [10:35:27<19:20:26, 12.25s/it]
                                                          
{'loss': 2.5508, 'grad_norm': 3.124267578125, 'learning_rate': 3.259163730847723e-05, 'epoch': 0.04}

 43%|████▎     | 4317/10000 [10:35:27<19:20:26, 12.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0084350109100342, dino_loss: 0.6875, depth_loss: 0.06262236833572388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7176186442375183, dino_loss: 0.69140625, depth_loss: 0.07220441848039627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4318/10000 [10:35:39<19:00:16, 12.04s/it]
                                                          
{'loss': 1.8516, 'grad_norm': 2.701409339904785, 'learning_rate': 3.258375993932259e-05, 'epoch': 0.04}

 43%|████▎     | 4318/10000 [10:35:39<19:00:16, 12.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.958613395690918, dino_loss: 0.66796875, depth_loss: 0.06357468664646149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0039056539535522, dino_loss: 0.6796875, depth_loss: 0.05548339709639549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4319/10000 [10:35:51<19:00:42, 12.05s/it]
                                                          
{'loss': 2.3258, 'grad_norm': 4.334951877593994, 'learning_rate': 3.2575881740819355e-05, 'epoch': 0.04}

 43%|████▎     | 4319/10000 [10:35:51<19:00:42, 12.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.805259644985199, dino_loss: 0.65625, depth_loss: 0.05003736913204193, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8524425625801086, dino_loss: 0.6953125, depth_loss: 0.056781865656375885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4320/10000 [10:36:04<19:13:52, 12.19s/it]
                                                          
{'loss': 2.4195, 'grad_norm': 2.385572910308838, 'learning_rate': 3.2568002713829084e-05, 'epoch': 0.04}

 43%|████▎     | 4320/10000 [10:36:04<19:13:52, 12.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7671124935150146, dino_loss: 0.6171875, depth_loss: 0.05243172124028206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0336766242980957, dino_loss: 0.7109375, depth_loss: 0.06152823567390442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4321/10000 [10:36:15<19:06:19, 12.11s/it]
                                                          
{'loss': 2.5452, 'grad_norm': 2.720125198364258, 'learning_rate': 3.256012285921342e-05, 'epoch': 0.04}

 43%|████▎     | 4321/10000 [10:36:15<19:06:19, 12.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7827280759811401, dino_loss: 0.7734375, depth_loss: 0.05869002640247345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8258547782897949, dino_loss: 0.70703125, depth_loss: 0.06581169366836548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4322/10000 [10:36:27<18:41:54, 11.86s/it]
                                                          
{'loss': 1.8175, 'grad_norm': 5.401567459106445, 'learning_rate': 3.255224217783408e-05, 'epoch': 0.04}

 43%|████▎     | 4322/10000 [10:36:27<18:41:54, 11.86s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 1.0660967826843262, dino_loss: 0.73828125, depth_loss: 0.0581950768828392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7952989339828491, dino_loss: 0.74609375, depth_loss: 0.06842783093452454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4323/10000 [10:36:39<18:44:10, 11.88s/it]
                                                          
{'loss': 1.9426, 'grad_norm': 3.24943208694458, 'learning_rate': 3.2544360670552884e-05, 'epoch': 0.04}

 43%|████▎     | 4323/10000 [10:36:39<18:44:10, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9100116491317749, dino_loss: 0.65625, depth_loss: 0.04753420129418373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.8124266862869263, dino_loss: 0.671875, depth_loss: 0.06241755187511444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4324/10000 [10:36:51<18:58:01, 12.03s/it]
                                                          
{'loss': 2.3182, 'grad_norm': 2.7569997310638428, 'learning_rate': 3.253647833823176e-05, 'epoch': 0.04}

 43%|████▎     | 4324/10000 [10:36:51<18:58:01, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1143349409103394, dino_loss: 0.69921875, depth_loss: 0.06550922244787216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7908303737640381, dino_loss: 0.7265625, depth_loss: 0.07274993509054184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4325/10000 [10:37:03<18:50:47, 11.96s/it]
                                                          
{'loss': 2.5269, 'grad_norm': 4.420102119445801, 'learning_rate': 3.252859518173269e-05, 'epoch': 0.04}

 43%|████▎     | 4325/10000 [10:37:03<18:50:47, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8647470474243164, dino_loss: 0.7421875, depth_loss: 0.0824287012219429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8350030183792114, dino_loss: 0.6875, depth_loss: 0.061250582337379456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4326/10000 [10:37:15<18:48:43, 11.94s/it]
                                                          
{'loss': 2.106, 'grad_norm': 3.918349266052246, 'learning_rate': 3.252071120191777e-05, 'epoch': 0.04}

 43%|████▎     | 4326/10000 [10:37:15<18:48:43, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8256587386131287, dino_loss: 0.6796875, depth_loss: 0.06380926072597504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8018066883087158, dino_loss: 0.671875, depth_loss: 0.05431341752409935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4327/10000 [10:37:27<18:59:51, 12.06s/it]
                                                          
{'loss': 2.2121, 'grad_norm': 2.3336400985717773, 'learning_rate': 3.2512826399649175e-05, 'epoch': 0.04}

 43%|████▎     | 4327/10000 [10:37:27<18:59:51, 12.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8165941834449768, dino_loss: 0.64453125, depth_loss: 0.05832461267709732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8630987405776978, dino_loss: 0.625, depth_loss: 0.05451124906539917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4328/10000 [10:37:39<18:47:54, 11.93s/it]
                                                          
{'loss': 1.768, 'grad_norm': 5.694884300231934, 'learning_rate': 3.250494077578919e-05, 'epoch': 0.04}

 43%|████▎     | 4328/10000 [10:37:39<18:47:54, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9821863174438477, dino_loss: 0.65234375, depth_loss: 0.08713129907846451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9990214109420776, dino_loss: 0.71484375, depth_loss: 0.07909224927425385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4329/10000 [10:37:50<18:42:34, 11.88s/it]
                                                          
{'loss': 2.4408, 'grad_norm': 2.8017115592956543, 'learning_rate': 3.249705433120016e-05, 'epoch': 0.04}

 43%|████▎     | 4329/10000 [10:37:50<18:42:34, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8873617649078369, dino_loss: 0.71484375, depth_loss: 0.05708836019039154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7869298458099365, dino_loss: 0.66015625, depth_loss: 0.0588211864233017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4330/10000 [10:38:03<18:52:25, 11.98s/it]
                                                          
{'loss': 1.5863, 'grad_norm': 3.8953797817230225, 'learning_rate': 3.2489167066744547e-05, 'epoch': 0.04}

 43%|████▎     | 4330/10000 [10:38:03<18:52:25, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7011444568634033, dino_loss: 0.64453125, depth_loss: 0.06617499887943268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8981354832649231, dino_loss: 0.7265625, depth_loss: 0.0678025558590889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4331/10000 [10:38:15<18:58:55, 12.05s/it]
                                                          
{'loss': 2.4953, 'grad_norm': 2.523782730102539, 'learning_rate': 3.248127898328488e-05, 'epoch': 0.04}

 43%|████▎     | 4331/10000 [10:38:15<18:58:55, 12.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7440454363822937, dino_loss: 0.71484375, depth_loss: 0.052519142627716064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0473699569702148, dino_loss: 0.73046875, depth_loss: 0.0815080851316452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4332/10000 [10:38:27<18:47:31, 11.94s/it]
                                                          
{'loss': 2.2203, 'grad_norm': 5.3510613441467285, 'learning_rate': 3.2473390081683784e-05, 'epoch': 0.04}

 43%|████▎     | 4332/10000 [10:38:27<18:47:31, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9103517532348633, dino_loss: 0.6875, depth_loss: 0.050111521035432816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6829143166542053, dino_loss: 0.6015625, depth_loss: 0.049953244626522064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4333/10000 [10:38:38<18:48:27, 11.95s/it]
                                                          
{'loss': 2.568, 'grad_norm': 2.482525587081909, 'learning_rate': 3.2465500362803994e-05, 'epoch': 0.04}

 43%|████▎     | 4333/10000 [10:38:39<18:48:27, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8507964015007019, dino_loss: 0.66015625, depth_loss: 0.05747275799512863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7452290654182434, dino_loss: 0.63671875, depth_loss: 0.05387520790100098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4334/10000 [10:38:50<18:33:30, 11.79s/it]
                                                          
{'loss': 1.7405, 'grad_norm': 2.4625487327575684, 'learning_rate': 3.2457609827508306e-05, 'epoch': 0.04}

 43%|████▎     | 4334/10000 [10:38:50<18:33:30, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7444485425949097, dino_loss: 0.68359375, depth_loss: 0.06594336032867432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.882799506187439, dino_loss: 0.72265625, depth_loss: 0.06433363258838654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4335/10000 [10:39:01<18:22:54, 11.68s/it]
                                                          
{'loss': 2.1792, 'grad_norm': 2.2560412883758545, 'learning_rate': 3.244971847665962e-05, 'epoch': 0.04}

 43%|████▎     | 4335/10000 [10:39:01<18:22:54, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9527206420898438, dino_loss: 0.6953125, depth_loss: 0.0651967003941536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8548802137374878, dino_loss: 0.69140625, depth_loss: 0.060080960392951965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4336/10000 [10:39:13<18:24:22, 11.70s/it]
                                                          
{'loss': 2.3529, 'grad_norm': 3.143702745437622, 'learning_rate': 3.2441826311120924e-05, 'epoch': 0.04}

 43%|████▎     | 4336/10000 [10:39:13<18:24:22, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8025521636009216, dino_loss: 0.62890625, depth_loss: 0.054616183042526245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7468581199645996, dino_loss: 0.671875, depth_loss: 0.0690620169043541, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4337/10000 [10:39:25<18:31:10, 11.77s/it]
                                                          
{'loss': 2.1523, 'grad_norm': 2.6585803031921387, 'learning_rate': 3.2433933331755285e-05, 'epoch': 0.04}

 43%|████▎     | 4337/10000 [10:39:25<18:31:10, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9412838220596313, dino_loss: 0.67578125, depth_loss: 0.060705408453941345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.768269419670105, dino_loss: 0.70703125, depth_loss: 0.0673687681555748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4338/10000 [10:39:37<18:46:53, 11.94s/it]
                                                          
{'loss': 2.5771, 'grad_norm': 3.095194101333618, 'learning_rate': 3.2426039539425876e-05, 'epoch': 0.04}

 43%|████▎     | 4338/10000 [10:39:37<18:46:53, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8738085031509399, dino_loss: 0.7109375, depth_loss: 0.08187513053417206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8137706518173218, dino_loss: 0.70703125, depth_loss: 0.08186140656471252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4339/10000 [10:39:48<18:17:19, 11.63s/it]
                                                          
{'loss': 1.6433, 'grad_norm': 2.175900459289551, 'learning_rate': 3.241814493499595e-05, 'epoch': 0.04}

 43%|████▎     | 4339/10000 [10:39:48<18:17:19, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9601638913154602, dino_loss: 0.6640625, depth_loss: 0.05187765136361122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7325233221054077, dino_loss: 0.703125, depth_loss: 0.07596190273761749, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4340/10000 [10:40:00<18:33:26, 11.80s/it]
                                                          
{'loss': 2.0873, 'grad_norm': 7.469650745391846, 'learning_rate': 3.241024951932885e-05, 'epoch': 0.04}

 43%|████▎     | 4340/10000 [10:40:00<18:33:26, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8615738749504089, dino_loss: 0.67578125, depth_loss: 0.06104399636387825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.8342402577400208, dino_loss: 0.671875, depth_loss: 0.04865991324186325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4341/10000 [10:40:13<18:43:01, 11.91s/it]
                                                          
{'loss': 2.2318, 'grad_norm': 4.276446342468262, 'learning_rate': 3.2402353293287995e-05, 'epoch': 0.04}

 43%|████▎     | 4341/10000 [10:40:13<18:43:01, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8901652097702026, dino_loss: 0.68359375, depth_loss: 0.06860730797052383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 1
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6562565565109253, dino_loss: 0.65234375, depth_loss: 0.06226595491170883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4342/10000 [10:40:24<18:35:33, 11.83s/it]
                                                          
{'loss': 1.947, 'grad_norm': 1.6434625387191772, 'learning_rate': 3.2394456257736916e-05, 'epoch': 0.04}

 43%|████▎     | 4342/10000 [10:40:24<18:35:33, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7828145623207092, dino_loss: 0.65625, depth_loss: 0.04111481457948685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8737779855728149, dino_loss: 0.71484375, depth_loss: 0.07995012402534485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4343/10000 [10:40:36<18:29:46, 11.77s/it]
                                                          
{'loss': 1.9581, 'grad_norm': 2.3507871627807617, 'learning_rate': 3.238655841353922e-05, 'epoch': 0.04}

 43%|████▎     | 4343/10000 [10:40:36<18:29:46, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6220253109931946, dino_loss: 0.625, depth_loss: 0.047139447182416916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8254384994506836, dino_loss: 0.65234375, depth_loss: 0.0598636195063591, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4344/10000 [10:40:48<18:32:59, 11.81s/it]
                                                          
{'loss': 1.4966, 'grad_norm': 4.28886604309082, 'learning_rate': 3.23786597615586e-05, 'epoch': 0.04}

 43%|████▎     | 4344/10000 [10:40:48<18:32:59, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0385642051696777, dino_loss: 0.68359375, depth_loss: 0.05974217504262924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.862078070640564, dino_loss: 0.6796875, depth_loss: 0.06977963447570801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4345/10000 [10:41:00<18:45:36, 11.94s/it]
                                                          
{'loss': 2.4308, 'grad_norm': 2.691953659057617, 'learning_rate': 3.237076030265884e-05, 'epoch': 0.04}

 43%|████▎     | 4345/10000 [10:41:00<18:45:36, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7379820346832275, dino_loss: 0.69140625, depth_loss: 0.06427913159132004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9377301335334778, dino_loss: 0.6875, depth_loss: 0.050512753427028656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4346/10000 [10:41:11<18:20:07, 11.67s/it]
                                                          
{'loss': 1.7306, 'grad_norm': 2.90053391456604, 'learning_rate': 3.236286003770382e-05, 'epoch': 0.04}

 43%|████▎     | 4346/10000 [10:41:11<18:20:07, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8366187810897827, dino_loss: 0.6484375, depth_loss: 0.056370045989751816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8154401779174805, dino_loss: 0.66796875, depth_loss: 0.06630189716815948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4347/10000 [10:41:22<18:07:41, 11.54s/it]
                                                          
{'loss': 1.9488, 'grad_norm': 3.197798490524292, 'learning_rate': 3.23549589675575e-05, 'epoch': 0.04}

 43%|████▎     | 4347/10000 [10:41:22<18:07:41, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.892392635345459, dino_loss: 0.67578125, depth_loss: 0.07077649235725403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9712075591087341, dino_loss: 0.6953125, depth_loss: 0.07581094652414322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4348/10000 [10:41:34<18:02:18, 11.49s/it]
                                                          
{'loss': 2.3128, 'grad_norm': 4.396193027496338, 'learning_rate': 3.234705709308391e-05, 'epoch': 0.04}

 43%|████▎     | 4348/10000 [10:41:34<18:02:18, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9580628871917725, dino_loss: 0.7265625, depth_loss: 0.08881093561649323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9472530484199524, dino_loss: 0.6875, depth_loss: 0.07206910848617554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 43%|████▎     | 4349/10000 [10:41:46<18:10:31, 11.58s/it]
                                                          
{'loss': 2.3206, 'grad_norm': 1.9443960189819336, 'learning_rate': 3.233915441514722e-05, 'epoch': 0.04}

 43%|████▎     | 4349/10000 [10:41:46<18:10:31, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8438613414764404, dino_loss: 0.6953125, depth_loss: 0.053259920328855515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8505637645721436, dino_loss: 0.69921875, depth_loss: 0.062196195125579834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4350/10000 [10:41:57<18:20:56, 11.69s/it]
                                                          
{'loss': 2.3881, 'grad_norm': 2.3521363735198975, 'learning_rate': 3.2331250934611624e-05, 'epoch': 0.04}

 44%|████▎     | 4350/10000 [10:41:57<18:20:56, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8534348011016846, dino_loss: 0.6484375, depth_loss: 0.05745421350002289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7686671614646912, dino_loss: 0.64453125, depth_loss: 0.06128479912877083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4351/10000 [10:42:09<18:18:25, 11.67s/it]
                                                          
{'loss': 2.3117, 'grad_norm': 4.221792221069336, 'learning_rate': 3.232334665234145e-05, 'epoch': 0.04}

 44%|████▎     | 4351/10000 [10:42:09<18:18:25, 11.67s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 1.027034044265747, dino_loss: 0.65234375, depth_loss: 0.06372444331645966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7597121596336365, dino_loss: 0.64453125, depth_loss: 0.057056911289691925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4352/10000 [10:42:20<18:04:25, 11.52s/it]
                                                          
{'loss': 2.0508, 'grad_norm': 6.220218181610107, 'learning_rate': 3.23154415692011e-05, 'epoch': 0.04}

 44%|████▎     | 4352/10000 [10:42:20<18:04:25, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8941887021064758, dino_loss: 0.734375, depth_loss: 0.07827921211719513, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8138158917427063, dino_loss: 0.75, depth_loss: 0.06958281248807907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4353/10000 [10:42:31<17:48:27, 11.35s/it]
                                                          
{'loss': 1.784, 'grad_norm': 2.40482497215271, 'learning_rate': 3.230753568605506e-05, 'epoch': 0.04}

 44%|████▎     | 4353/10000 [10:42:31<17:48:27, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7332075238227844, dino_loss: 0.734375, depth_loss: 0.06348786503076553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9881783723831177, dino_loss: 0.6875, depth_loss: 0.09114883095026016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4354/10000 [10:42:43<17:55:51, 11.43s/it]
                                                          
{'loss': 2.1316, 'grad_norm': 5.488173961639404, 'learning_rate': 3.22996290037679e-05, 'epoch': 0.04}

 44%|████▎     | 4354/10000 [10:42:43<17:55:51, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7978208065032959, dino_loss: 0.6796875, depth_loss: 0.056728899478912354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9123522639274597, dino_loss: 0.78125, depth_loss: 0.05841144174337387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4355/10000 [10:42:54<17:46:26, 11.34s/it]
                                                          
{'loss': 1.7975, 'grad_norm': 4.096669673919678, 'learning_rate': 3.229172152320429e-05, 'epoch': 0.04}

 44%|████▎     | 4355/10000 [10:42:54<17:46:26, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9044873118400574, dino_loss: 0.76953125, depth_loss: 0.07400748133659363, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.877410888671875, dino_loss: 0.68359375, depth_loss: 0.06535947322845459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4356/10000 [10:43:05<17:52:31, 11.40s/it]
                                                          
{'loss': 2.4129, 'grad_norm': 4.917896747589111, 'learning_rate': 3.228381324522898e-05, 'epoch': 0.04}

 44%|████▎     | 4356/10000 [10:43:05<17:52:31, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.840366780757904, dino_loss: 0.7265625, depth_loss: 0.05305245518684387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8030352592468262, dino_loss: 0.6328125, depth_loss: 0.04892803356051445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4357/10000 [10:43:18<18:11:48, 11.61s/it]
                                                          
{'loss': 2.4414, 'grad_norm': 3.07080078125, 'learning_rate': 3.2275904170706797e-05, 'epoch': 0.04}

 44%|████▎     | 4357/10000 [10:43:18<18:11:48, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8098624348640442, dino_loss: 0.67578125, depth_loss: 0.05542421340942383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8376764059066772, dino_loss: 0.671875, depth_loss: 0.06265859305858612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4358/10000 [10:43:29<18:20:05, 11.70s/it]
                                                          
{'loss': 2.0, 'grad_norm': 2.382850408554077, 'learning_rate': 3.226799430050268e-05, 'epoch': 0.04}

 44%|████▎     | 4358/10000 [10:43:29<18:20:05, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8473367094993591, dino_loss: 0.72265625, depth_loss: 0.05921865254640579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7944155931472778, dino_loss: 0.6953125, depth_loss: 0.06002562865614891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4359/10000 [10:43:42<18:30:00, 11.81s/it]
                                                          
{'loss': 2.189, 'grad_norm': 2.975567579269409, 'learning_rate': 3.226008363548163e-05, 'epoch': 0.04}

 44%|████▎     | 4359/10000 [10:43:42<18:30:00, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8948057293891907, dino_loss: 0.71484375, depth_loss: 0.0680442601442337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1470913887023926, dino_loss: 0.76953125, depth_loss: 0.07037726044654846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4360/10000 [10:43:53<18:19:16, 11.69s/it]
                                                          
{'loss': 2.3918, 'grad_norm': 3.426492929458618, 'learning_rate': 3.225217217650876e-05, 'epoch': 0.04}

 44%|████▎     | 4360/10000 [10:43:53<18:19:16, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2115800380706787, dino_loss: 0.65625, depth_loss: 0.06871650367975235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9119532704353333, dino_loss: 0.6875, depth_loss: 0.07849106937646866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4361/10000 [10:44:05<18:26:43, 11.78s/it]
                                                          
{'loss': 2.5039, 'grad_norm': 4.823116302490234, 'learning_rate': 3.2244259924449224e-05, 'epoch': 0.04}

 44%|████▎     | 4361/10000 [10:44:05<18:26:43, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.769235372543335, dino_loss: 0.7265625, depth_loss: 0.05902338773012161, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9479289650917053, dino_loss: 0.703125, depth_loss: 0.06998616456985474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4362/10000 [10:44:17<18:33:04, 11.85s/it]
                                                          
{'loss': 2.1698, 'grad_norm': 2.697462558746338, 'learning_rate': 3.223634688016832e-05, 'epoch': 0.04}

 44%|████▎     | 4362/10000 [10:44:17<18:33:04, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9201449155807495, dino_loss: 0.7109375, depth_loss: 0.07013898342847824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9159401655197144, dino_loss: 0.7265625, depth_loss: 0.06855995208024979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4363/10000 [10:44:29<18:24:41, 11.76s/it]
                                                          
{'loss': 2.1362, 'grad_norm': 4.8622002601623535, 'learning_rate': 3.222843304453142e-05, 'epoch': 0.04}

 44%|████▎     | 4363/10000 [10:44:29<18:24:41, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8362817168235779, dino_loss: 0.69921875, depth_loss: 0.062019336968660355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7923722267150879, dino_loss: 0.61328125, depth_loss: 0.05463537573814392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4364/10000 [10:44:40<18:22:26, 11.74s/it]
                                                          
{'loss': 1.7669, 'grad_norm': 2.611356496810913, 'learning_rate': 3.222051841840392e-05, 'epoch': 0.04}

 44%|████▎     | 4364/10000 [10:44:40<18:22:26, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1012507677078247, dino_loss: 0.75, depth_loss: 0.0558462031185627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.936375617980957, dino_loss: 0.68359375, depth_loss: 0.05856616050004959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4365/10000 [10:44:53<18:39:00, 11.91s/it]
                                                          
{'loss': 2.8979, 'grad_norm': 5.234675407409668, 'learning_rate': 3.22126030026514e-05, 'epoch': 0.04}

 44%|████▎     | 4365/10000 [10:44:53<18:39:00, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8978562355041504, dino_loss: 0.71875, depth_loss: 0.06172416731715202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8764166831970215, dino_loss: 0.75390625, depth_loss: 0.06548350304365158, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4366/10000 [10:45:05<18:43:03, 11.96s/it]
                                                          
{'loss': 2.5014, 'grad_norm': 3.5468151569366455, 'learning_rate': 3.220468679813946e-05, 'epoch': 0.04}

 44%|████▎     | 4366/10000 [10:45:05<18:43:03, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 0.9900814890861511, dino_loss: 0.6484375, depth_loss: 0.07660569250583649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8840042352676392, dino_loss: 0.6953125, depth_loss: 0.05277103930711746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4367/10000 [10:45:16<18:30:20, 11.83s/it]
                                                          
{'loss': 2.4855, 'grad_norm': 3.398686647415161, 'learning_rate': 3.2196769805733794e-05, 'epoch': 0.04}

 44%|████▎     | 4367/10000 [10:45:16<18:30:20, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8536520004272461, dino_loss: 0.69140625, depth_loss: 0.059716664254665375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.913435697555542, dino_loss: 0.734375, depth_loss: 0.059056662023067474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4368/10000 [10:45:27<18:10:40, 11.62s/it]
                                                          
{'loss': 1.8484, 'grad_norm': 2.1804540157318115, 'learning_rate': 3.218885202630021e-05, 'epoch': 0.04}

 44%|████▎     | 4368/10000 [10:45:27<18:10:40, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9433971047401428, dino_loss: 0.66015625, depth_loss: 0.06227999925613403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.80652916431427, dino_loss: 0.68359375, depth_loss: 0.05325842276215553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4369/10000 [10:45:39<18:13:19, 11.65s/it]
                                                          
{'loss': 2.0172, 'grad_norm': 3.371901750564575, 'learning_rate': 3.218093346070458e-05, 'epoch': 0.04}

 44%|████▎     | 4369/10000 [10:45:39<18:13:19, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.7734060287475586, dino_loss: 0.70703125, depth_loss: 0.05734561011195183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.959725022315979, dino_loss: 0.67578125, depth_loss: 0.05916614085435867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4370/10000 [10:45:50<18:00:23, 11.51s/it]
                                                          
{'loss': 2.1971, 'grad_norm': 2.337885856628418, 'learning_rate': 3.217301410981285e-05, 'epoch': 0.04}

 44%|████▎     | 4370/10000 [10:45:50<18:00:23, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9310649037361145, dino_loss: 0.76953125, depth_loss: 0.06483335793018341, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9640249013900757, dino_loss: 0.67578125, depth_loss: 0.07429300993680954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4371/10000 [10:46:02<18:07:35, 11.59s/it]
                                                          
{'loss': 2.4068, 'grad_norm': 3.1446309089660645, 'learning_rate': 3.216509397449109e-05, 'epoch': 0.04}

 44%|████▎     | 4371/10000 [10:46:02<18:07:35, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7842666506767273, dino_loss: 0.671875, depth_loss: 0.05247102677822113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8785041570663452, dino_loss: 0.71875, depth_loss: 0.059770796447992325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4372/10000 [10:46:14<18:28:00, 11.81s/it]
                                                          
{'loss': 2.3866, 'grad_norm': 2.8486554622650146, 'learning_rate': 3.215717305560543e-05, 'epoch': 0.04}

 44%|████▎     | 4372/10000 [10:46:14<18:28:00, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0521667003631592, dino_loss: 0.73828125, depth_loss: 0.06735438853502274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8314242362976074, dino_loss: 0.69921875, depth_loss: 0.05091679096221924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4373/10000 [10:46:26<18:25:30, 11.79s/it]
                                                          
{'loss': 2.6215, 'grad_norm': 3.070387125015259, 'learning_rate': 3.214925135402208e-05, 'epoch': 0.04}

 44%|████▎     | 4373/10000 [10:46:26<18:25:30, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8155890703201294, dino_loss: 0.63671875, depth_loss: 0.043690092861652374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.97962886095047, dino_loss: 0.6875, depth_loss: 0.06459376215934753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▎     | 4374/10000 [10:46:38<18:27:05, 11.81s/it]
                                                          
{'loss': 2.228, 'grad_norm': 2.6250152587890625, 'learning_rate': 3.214132887060736e-05, 'epoch': 0.04}

 44%|████▎     | 4374/10000 [10:46:38<18:27:05, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7893755435943604, dino_loss: 0.671875, depth_loss: 0.061767227947711945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9756466746330261, dino_loss: 0.72265625, depth_loss: 0.05839257687330246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4375/10000 [10:46:50<18:24:41, 11.78s/it]
                                                          
{'loss': 2.0521, 'grad_norm': 4.548611164093018, 'learning_rate': 3.213340560622763e-05, 'epoch': 0.04}

 44%|████▍     | 4375/10000 [10:46:50<18:24:41, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8784189820289612, dino_loss: 0.6640625, depth_loss: 0.07192648947238922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.668748676776886, dino_loss: 0.6953125, depth_loss: 0.0633983314037323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4376/10000 [10:47:01<18:10:07, 11.63s/it]
                                                          
{'loss': 2.1113, 'grad_norm': 5.187291145324707, 'learning_rate': 3.21254815617494e-05, 'epoch': 0.04}

 44%|████▍     | 4376/10000 [10:47:01<18:10:07, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8870043158531189, dino_loss: 0.71484375, depth_loss: 0.06060183048248291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7688223719596863, dino_loss: 0.6875, depth_loss: 0.05890138819813728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4377/10000 [10:47:13<18:15:31, 11.69s/it]
                                                          
{'loss': 2.0938, 'grad_norm': 2.735860586166382, 'learning_rate': 3.211755673803922e-05, 'epoch': 0.04}

 44%|████▍     | 4377/10000 [10:47:13<18:15:31, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9047574400901794, dino_loss: 0.765625, depth_loss: 0.07550405710935593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7791780829429626, dino_loss: 0.66015625, depth_loss: 0.05474044010043144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4378/10000 [10:47:25<18:20:28, 11.74s/it]
                                                          
{'loss': 2.4862, 'grad_norm': 4.507180213928223, 'learning_rate': 3.210963113596374e-05, 'epoch': 0.04}

 44%|████▍     | 4378/10000 [10:47:25<18:20:28, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8619120121002197, dino_loss: 0.7265625, depth_loss: 0.05229562148451805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7610766887664795, dino_loss: 0.703125, depth_loss: 0.06109621748328209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4379/10000 [10:47:36<18:10:37, 11.64s/it]
                                                          
{'loss': 2.0377, 'grad_norm': 2.8748600482940674, 'learning_rate': 3.210170475638969e-05, 'epoch': 0.04}

 44%|████▍     | 4379/10000 [10:47:36<18:10:37, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9353413581848145, dino_loss: 0.73828125, depth_loss: 0.06978774070739746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9164133071899414, dino_loss: 0.6953125, depth_loss: 0.0800192728638649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4380/10000 [10:47:47<18:00:00, 11.53s/it]
                                                          
{'loss': 2.2321, 'grad_norm': 2.3630306720733643, 'learning_rate': 3.2093777600183875e-05, 'epoch': 0.04}

 44%|████▍     | 4380/10000 [10:47:47<18:00:00, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7764350175857544, dino_loss: 0.6640625, depth_loss: 0.05303191393613815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0658869743347168, dino_loss: 0.72265625, depth_loss: 0.07271291315555573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4381/10000 [10:47:59<17:55:12, 11.48s/it]
                                                          
{'loss': 1.9897, 'grad_norm': 4.370933532714844, 'learning_rate': 3.208584966821321e-05, 'epoch': 0.04}

 44%|████▍     | 4381/10000 [10:47:59<17:55:12, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9039475321769714, dino_loss: 0.6953125, depth_loss: 0.062265992164611816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8442188501358032, dino_loss: 0.68359375, depth_loss: 0.07880094647407532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4382/10000 [10:48:11<18:23:47, 11.79s/it]
                                                          
{'loss': 2.4438, 'grad_norm': 3.1442480087280273, 'learning_rate': 3.207792096134468e-05, 'epoch': 0.04}

 44%|████▍     | 4382/10000 [10:48:11<18:23:47, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8315802216529846, dino_loss: 0.6953125, depth_loss: 0.061815254390239716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9534518122673035, dino_loss: 0.69140625, depth_loss: 0.06217126548290253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4383/10000 [10:48:23<18:24:41, 11.80s/it]
                                                          
{'loss': 2.4592, 'grad_norm': 4.276913166046143, 'learning_rate': 3.206999148044535e-05, 'epoch': 0.04}

 44%|████▍     | 4383/10000 [10:48:23<18:24:41, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7710956335067749, dino_loss: 0.6953125, depth_loss: 0.05709774047136307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9913688898086548, dino_loss: 0.64453125, depth_loss: 0.05227595940232277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4384/10000 [10:48:35<18:31:26, 11.87s/it]
                                                          
{'loss': 2.2333, 'grad_norm': 5.664295196533203, 'learning_rate': 3.2062061226382395e-05, 'epoch': 0.04}

 44%|████▍     | 4384/10000 [10:48:35<18:31:26, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8258500099182129, dino_loss: 0.71484375, depth_loss: 0.06945884227752686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7155190706253052, dino_loss: 0.69921875, depth_loss: 0.06620235741138458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4385/10000 [10:48:47<18:25:51, 11.82s/it]
                                                          
{'loss': 1.7291, 'grad_norm': 4.5931854248046875, 'learning_rate': 3.205413020002303e-05, 'epoch': 0.04}

 44%|████▍     | 4385/10000 [10:48:47<18:25:51, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8205504417419434, dino_loss: 0.71875, depth_loss: 0.057880908250808716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9341919422149658, dino_loss: 0.71484375, depth_loss: 0.05705131217837334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4386/10000 [10:48:58<18:13:03, 11.68s/it]
                                                          
{'loss': 2.1949, 'grad_norm': 2.871562957763672, 'learning_rate': 3.2046198402234594e-05, 'epoch': 0.04}

 44%|████▍     | 4386/10000 [10:48:58<18:13:03, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8999419212341309, dino_loss: 0.6640625, depth_loss: 0.05256470665335655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 1.0010888576507568, dino_loss: 0.73046875, depth_loss: 0.04751141369342804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4387/10000 [10:49:10<18:22:43, 11.79s/it]
                                                          
{'loss': 2.676, 'grad_norm': 4.101726531982422, 'learning_rate': 3.20382658338845e-05, 'epoch': 0.04}

 44%|████▍     | 4387/10000 [10:49:10<18:22:43, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7986193299293518, dino_loss: 0.6640625, depth_loss: 0.07058341056108475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.683914303779602, dino_loss: 0.6796875, depth_loss: 0.06771998107433319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4388/10000 [10:49:22<18:24:27, 11.81s/it]
                                                          
{'loss': 1.7857, 'grad_norm': 2.7857205867767334, 'learning_rate': 3.203033249584023e-05, 'epoch': 0.04}

 44%|████▍     | 4388/10000 [10:49:22<18:24:27, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.015023946762085, dino_loss: 0.66015625, depth_loss: 0.047976166009902954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9264618158340454, dino_loss: 0.671875, depth_loss: 0.058362774550914764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4389/10000 [10:49:33<18:05:01, 11.60s/it]
                                                          
{'loss': 1.9435, 'grad_norm': 6.845382213592529, 'learning_rate': 3.202239838896937e-05, 'epoch': 0.04}

 44%|████▍     | 4389/10000 [10:49:33<18:05:01, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.805883526802063, dino_loss: 0.69921875, depth_loss: 0.08110411465167999, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9044923782348633, dino_loss: 0.66015625, depth_loss: 0.06655724346637726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4390/10000 [10:49:45<18:13:58, 11.70s/it]
                                                          
{'loss': 2.529, 'grad_norm': 3.5767600536346436, 'learning_rate': 3.201446351413958e-05, 'epoch': 0.04}

 44%|████▍     | 4390/10000 [10:49:45<18:13:58, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8948318958282471, dino_loss: 0.6484375, depth_loss: 0.05306991562247276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9084113836288452, dino_loss: 0.63671875, depth_loss: 0.046913713216781616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4391/10000 [10:49:56<18:02:52, 11.58s/it]
                                                          
{'loss': 2.1024, 'grad_norm': 3.667649507522583, 'learning_rate': 3.200652787221861e-05, 'epoch': 0.04}

 44%|████▍     | 4391/10000 [10:49:56<18:02:52, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8913550972938538, dino_loss: 0.7265625, depth_loss: 0.06402045488357544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8678591251373291, dino_loss: 0.65234375, depth_loss: 0.05754289776086807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4392/10000 [10:50:08<18:12:28, 11.69s/it]
                                                          
{'loss': 2.2269, 'grad_norm': 2.382831335067749, 'learning_rate': 3.199859146407429e-05, 'epoch': 0.04}

 44%|████▍     | 4392/10000 [10:50:08<18:12:28, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8526067137718201, dino_loss: 0.71875, depth_loss: 0.04900834709405899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.979035496711731, dino_loss: 0.66015625, depth_loss: 0.05680015683174133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4393/10000 [10:50:20<18:14:10, 11.71s/it]
                                                          
{'loss': 2.542, 'grad_norm': 1.5013920068740845, 'learning_rate': 3.1990654290574516e-05, 'epoch': 0.04}

 44%|████▍     | 4393/10000 [10:50:20<18:14:10, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.796017050743103, dino_loss: 0.67578125, depth_loss: 0.04835357517004013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7092832326889038, dino_loss: 0.66796875, depth_loss: 0.04040557146072388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4394/10000 [10:50:31<18:00:13, 11.56s/it]
                                                          
{'loss': 1.8016, 'grad_norm': 2.6993794441223145, 'learning_rate': 3.198271635258731e-05, 'epoch': 0.04}

 44%|████▍     | 4394/10000 [10:50:31<18:00:13, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8764290809631348, dino_loss: 0.7109375, depth_loss: 0.05092469975352287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7281680107116699, dino_loss: 0.69140625, depth_loss: 0.04910055547952652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4395/10000 [10:50:43<18:07:55, 11.65s/it]
                                                          
{'loss': 2.1134, 'grad_norm': 2.7407748699188232, 'learning_rate': 3.1974777650980735e-05, 'epoch': 0.04}

 44%|████▍     | 4395/10000 [10:50:43<18:07:55, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8474105596542358, dino_loss: 0.734375, depth_loss: 0.05296839773654938, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8898036479949951, dino_loss: 0.640625, depth_loss: 0.054972678422927856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4396/10000 [10:50:54<17:56:15, 11.52s/it]
                                                          
{'loss': 2.246, 'grad_norm': 4.554697513580322, 'learning_rate': 3.1966838186622965e-05, 'epoch': 0.04}

 44%|████▍     | 4396/10000 [10:50:54<17:56:15, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8454684019088745, dino_loss: 0.67578125, depth_loss: 0.06960760056972504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7264140844345093, dino_loss: 0.59375, depth_loss: 0.05346719175577164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4397/10000 [10:51:06<18:03:44, 11.61s/it]
                                                          
{'loss': 1.8496, 'grad_norm': 4.118362903594971, 'learning_rate': 3.195889796038225e-05, 'epoch': 0.04}

 44%|████▍     | 4397/10000 [10:51:06<18:03:44, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8952535390853882, dino_loss: 0.69140625, depth_loss: 0.06807690858840942, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8089871406555176, dino_loss: 0.65625, depth_loss: 0.05482596158981323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4398/10000 [10:51:17<17:58:22, 11.55s/it]
                                                          
{'loss': 2.1944, 'grad_norm': 4.591533660888672, 'learning_rate': 3.1950956973126906e-05, 'epoch': 0.04}

 44%|████▍     | 4398/10000 [10:51:17<17:58:22, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8774702548980713, dino_loss: 0.72265625, depth_loss: 0.07408292591571808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9212585687637329, dino_loss: 0.69140625, depth_loss: 0.07681147009134293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4399/10000 [10:51:30<18:13:51, 11.72s/it]
                                                          
{'loss': 2.4924, 'grad_norm': 3.5563111305236816, 'learning_rate': 3.194301522572537e-05, 'epoch': 0.04}

 44%|████▍     | 4399/10000 [10:51:30<18:13:51, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8576295971870422, dino_loss: 0.73828125, depth_loss: 0.05559278652071953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8296279311180115, dino_loss: 0.6953125, depth_loss: 0.08731897175312042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4400/10000 [10:51:41<18:13:30, 11.72s/it]
                                                          
{'loss': 2.085, 'grad_norm': 3.0021395683288574, 'learning_rate': 3.1935072719046115e-05, 'epoch': 0.04}

 44%|████▍     | 4400/10000 [10:51:41<18:13:30, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.685665488243103, dino_loss: 0.6875, depth_loss: 0.07156593352556229, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0410393476486206, dino_loss: 0.703125, depth_loss: 0.06879088282585144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4401/10000 [10:51:53<18:14:44, 11.73s/it]
                                                          
{'loss': 2.1009, 'grad_norm': 3.3939313888549805, 'learning_rate': 3.192712945395774e-05, 'epoch': 0.04}

 44%|████▍     | 4401/10000 [10:51:53<18:14:44, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7229959964752197, dino_loss: 0.6640625, depth_loss: 0.09001760929822922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8387987613677979, dino_loss: 0.6640625, depth_loss: 0.06397446244955063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4402/10000 [10:52:05<18:14:51, 11.73s/it]
                                                          
{'loss': 1.7074, 'grad_norm': 2.7173895835876465, 'learning_rate': 3.19191854313289e-05, 'epoch': 0.04}

 44%|████▍     | 4402/10000 [10:52:05<18:14:51, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.9622447490692139, dino_loss: 0.671875, depth_loss: 0.05298035591840744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8290274143218994, dino_loss: 0.68359375, depth_loss: 0.059138912707567215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4403/10000 [10:52:16<18:03:21, 11.61s/it]
                                                          
{'loss': 1.6416, 'grad_norm': 3.3343915939331055, 'learning_rate': 3.1911240652028354e-05, 'epoch': 0.04}

 44%|████▍     | 4403/10000 [10:52:16<18:03:21, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7936794757843018, dino_loss: 0.66015625, depth_loss: 0.07096859067678452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0545599460601807, dino_loss: 0.69140625, depth_loss: 0.06267569959163666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4404/10000 [10:52:27<17:55:55, 11.54s/it]
                                                          
{'loss': 2.2702, 'grad_norm': 5.738031387329102, 'learning_rate': 3.190329511692491e-05, 'epoch': 0.04}

 44%|████▍     | 4404/10000 [10:52:27<17:55:55, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.808692216873169, dino_loss: 0.64453125, depth_loss: 0.06439553946256638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8826327323913574, dino_loss: 0.6953125, depth_loss: 0.06141390651464462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4405/10000 [10:52:39<18:04:17, 11.63s/it]
                                                          
{'loss': 2.0151, 'grad_norm': 3.629852533340454, 'learning_rate': 3.18953488268875e-05, 'epoch': 0.04}

 44%|████▍     | 4405/10000 [10:52:39<18:04:17, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8215373158454895, dino_loss: 0.6953125, depth_loss: 0.051436807960271835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7086551189422607, dino_loss: 0.62109375, depth_loss: 0.05690675973892212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4406/10000 [10:52:52<18:19:54, 11.80s/it]
                                                          
{'loss': 1.9894, 'grad_norm': 4.612259864807129, 'learning_rate': 3.188740178278511e-05, 'epoch': 0.04}

 44%|████▍     | 4406/10000 [10:52:52<18:19:54, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8927056193351746, dino_loss: 0.73046875, depth_loss: 0.06887292861938477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.860399603843689, dino_loss: 0.6640625, depth_loss: 0.05768534913659096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4407/10000 [10:53:04<18:37:11, 11.98s/it]
                                                          
{'loss': 2.2469, 'grad_norm': 3.940159559249878, 'learning_rate': 3.187945398548681e-05, 'epoch': 0.04}

 44%|████▍     | 4407/10000 [10:53:04<18:37:11, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7214195728302002, dino_loss: 0.703125, depth_loss: 0.08054400980472565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8918067216873169, dino_loss: 0.6484375, depth_loss: 0.07441882789134979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4408/10000 [10:53:16<18:34:31, 11.96s/it]
                                                          
{'loss': 2.4791, 'grad_norm': 2.5165019035339355, 'learning_rate': 3.187150543586176e-05, 'epoch': 0.04}

 44%|████▍     | 4408/10000 [10:53:16<18:34:31, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8065127730369568, dino_loss: 0.68359375, depth_loss: 0.06103130802512169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7908778190612793, dino_loss: 0.77734375, depth_loss: 0.06781317293643951, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4409/10000 [10:53:27<18:15:27, 11.76s/it]
                                                          
{'loss': 1.598, 'grad_norm': 2.8162786960601807, 'learning_rate': 3.1863556134779216e-05, 'epoch': 0.04}

 44%|████▍     | 4409/10000 [10:53:27<18:15:27, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8424235582351685, dino_loss: 0.71875, depth_loss: 0.07651125639677048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.779316782951355, dino_loss: 0.6484375, depth_loss: 0.05245531350374222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4410/10000 [10:53:39<18:14:11, 11.74s/it]
                                                          
{'loss': 2.3025, 'grad_norm': 2.4106125831604004, 'learning_rate': 3.185560608310849e-05, 'epoch': 0.04}

 44%|████▍     | 4410/10000 [10:53:39<18:14:11, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7680662870407104, dino_loss: 0.64453125, depth_loss: 0.047282762825489044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9115263819694519, dino_loss: 0.703125, depth_loss: 0.05579979345202446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4411/10000 [10:53:50<18:03:27, 11.63s/it]
                                                          
{'loss': 2.3933, 'grad_norm': 2.642228126525879, 'learning_rate': 3.1847655281719e-05, 'epoch': 0.04}

 44%|████▍     | 4411/10000 [10:53:50<18:03:27, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8812966346740723, dino_loss: 0.6640625, depth_loss: 0.05307710915803909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8615118861198425, dino_loss: 0.734375, depth_loss: 0.06210240721702576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4412/10000 [10:54:02<18:07:59, 11.68s/it]
                                                          
{'loss': 2.0419, 'grad_norm': 2.6745035648345947, 'learning_rate': 3.1839703731480205e-05, 'epoch': 0.04}

 44%|████▍     | 4412/10000 [10:54:02<18:07:59, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7245063781738281, dino_loss: 0.6171875, depth_loss: 0.051558226346969604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8254221677780151, dino_loss: 0.68359375, depth_loss: 0.061523646116256714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4413/10000 [10:54:13<17:51:58, 11.51s/it]
                                                          
{'loss': 1.4929, 'grad_norm': 4.149704456329346, 'learning_rate': 3.1831751433261705e-05, 'epoch': 0.04}

 44%|████▍     | 4413/10000 [10:54:13<17:51:58, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6493234038352966, dino_loss: 0.59765625, depth_loss: 0.05056197941303253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0216660499572754, dino_loss: 0.703125, depth_loss: 0.06876830011606216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4414/10000 [10:54:25<17:55:38, 11.55s/it]
                                                          
{'loss': 2.2106, 'grad_norm': 2.5277462005615234, 'learning_rate': 3.1823798387933134e-05, 'epoch': 0.04}

 44%|████▍     | 4414/10000 [10:54:25<17:55:38, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8581621050834656, dino_loss: 0.72265625, depth_loss: 0.06896111369132996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8893916606903076, dino_loss: 0.69140625, depth_loss: 0.0582229420542717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4415/10000 [10:54:36<17:58:30, 11.59s/it]
                                                          
{'loss': 2.3693, 'grad_norm': 1.8907294273376465, 'learning_rate': 3.181584459636423e-05, 'epoch': 0.04}

 44%|████▍     | 4415/10000 [10:54:36<17:58:30, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.7164210081100464, dino_loss: 0.6875, depth_loss: 0.056670598685741425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8429079055786133, dino_loss: 0.69140625, depth_loss: 0.060921117663383484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4416/10000 [10:54:48<17:53:33, 11.54s/it]
                                                          
{'loss': 1.7244, 'grad_norm': 2.977020740509033, 'learning_rate': 3.180789005942482e-05, 'epoch': 0.04}

 44%|████▍     | 4416/10000 [10:54:48<17:53:33, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8667076826095581, dino_loss: 0.66796875, depth_loss: 0.060029830783605576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.881588876247406, dino_loss: 0.6484375, depth_loss: 0.060147061944007874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4417/10000 [10:54:59<17:38:14, 11.37s/it]
                                                          
{'loss': 1.8342, 'grad_norm': 2.4551546573638916, 'learning_rate': 3.179993477798477e-05, 'epoch': 0.04}

 44%|████▍     | 4417/10000 [10:54:59<17:38:14, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8432990312576294, dino_loss: 0.6953125, depth_loss: 0.05922543257474899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8370541334152222, dino_loss: 0.734375, depth_loss: 0.06736228615045547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4418/10000 [10:55:11<18:00:50, 11.62s/it]
                                                          
{'loss': 2.0479, 'grad_norm': 2.8113324642181396, 'learning_rate': 3.1791978752914085e-05, 'epoch': 0.04}

 44%|████▍     | 4418/10000 [10:55:11<18:00:50, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9599358439445496, dino_loss: 0.6875, depth_loss: 0.059013448655605316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7712780237197876, dino_loss: 0.62890625, depth_loss: 0.05757249891757965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4419/10000 [10:55:22<17:56:09, 11.57s/it]
                                                          
{'loss': 2.188, 'grad_norm': 2.56562876701355, 'learning_rate': 3.178402198508282e-05, 'epoch': 0.04}

 44%|████▍     | 4419/10000 [10:55:23<17:56:09, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9660054445266724, dino_loss: 0.70703125, depth_loss: 0.05810984596610069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.794838547706604, dino_loss: 0.66015625, depth_loss: 0.05577509105205536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4420/10000 [10:55:34<18:02:07, 11.64s/it]
                                                          
{'loss': 2.4693, 'grad_norm': 2.864905595779419, 'learning_rate': 3.1776064475361114e-05, 'epoch': 0.04}

 44%|████▍     | 4420/10000 [10:55:34<18:02:07, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.950316846370697, dino_loss: 0.71875, depth_loss: 0.0744561031460762, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8165050745010376, dino_loss: 0.7421875, depth_loss: 0.0659896731376648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4421/10000 [10:55:47<18:20:15, 11.83s/it]
                                                          
{'loss': 2.3754, 'grad_norm': 4.420742988586426, 'learning_rate': 3.176810622461917e-05, 'epoch': 0.04}

 44%|████▍     | 4421/10000 [10:55:47<18:20:15, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.980548620223999, dino_loss: 0.67578125, depth_loss: 0.0846286490559578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.896338701248169, dino_loss: 0.7265625, depth_loss: 0.07076698541641235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4422/10000 [10:56:00<18:56:39, 12.23s/it]
                                                          
{'loss': 2.5497, 'grad_norm': 3.0094571113586426, 'learning_rate': 3.176014723372731e-05, 'epoch': 0.04}

 44%|████▍     | 4422/10000 [10:56:00<18:56:39, 12.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8820264339447021, dino_loss: 0.73046875, depth_loss: 0.07446542382240295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9217851758003235, dino_loss: 0.69921875, depth_loss: 0.08010110259056091, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4423/10000 [10:56:11<18:43:27, 12.09s/it]
                                                          
{'loss': 1.9629, 'grad_norm': 4.488681793212891, 'learning_rate': 3.175218750355592e-05, 'epoch': 0.04}

 44%|████▍     | 4423/10000 [10:56:11<18:43:27, 12.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8084921836853027, dino_loss: 0.75390625, depth_loss: 0.06355510652065277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8649355173110962, dino_loss: 0.67578125, depth_loss: 0.0639365166425705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4424/10000 [10:56:23<18:16:26, 11.80s/it]
                                                          
{'loss': 1.626, 'grad_norm': 3.401949644088745, 'learning_rate': 3.174422703497545e-05, 'epoch': 0.04}

 44%|████▍     | 4424/10000 [10:56:23<18:16:26, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8814375400543213, dino_loss: 0.65625, depth_loss: 0.05512182042002678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.828095018863678, dino_loss: 0.73046875, depth_loss: 0.06746264547109604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4425/10000 [10:56:35<18:21:26, 11.85s/it]
                                                          
{'loss': 2.1393, 'grad_norm': 3.3223276138305664, 'learning_rate': 3.173626582885645e-05, 'epoch': 0.04}

 44%|████▍     | 4425/10000 [10:56:35<18:21:26, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7852144837379456, dino_loss: 0.6796875, depth_loss: 0.057828694581985474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9286559820175171, dino_loss: 0.703125, depth_loss: 0.055689167231321335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4426/10000 [10:56:47<18:36:30, 12.02s/it]
                                                          
{'loss': 2.0311, 'grad_norm': 4.4796833992004395, 'learning_rate': 3.172830388606955e-05, 'epoch': 0.04}

 44%|████▍     | 4426/10000 [10:56:47<18:36:30, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.844605028629303, dino_loss: 0.65625, depth_loss: 0.06958755850791931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8500052690505981, dino_loss: 0.71875, depth_loss: 0.058277424424886703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4427/10000 [10:56:59<18:35:52, 12.01s/it]
                                                          
{'loss': 2.4345, 'grad_norm': 2.1604762077331543, 'learning_rate': 3.172034120748546e-05, 'epoch': 0.04}

 44%|████▍     | 4427/10000 [10:56:59<18:35:52, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8036590814590454, dino_loss: 0.72265625, depth_loss: 0.06180420145392418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8135347366333008, dino_loss: 0.66796875, depth_loss: 0.05441739410161972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4428/10000 [10:57:12<18:54:31, 12.22s/it]
                                                          
{'loss': 2.2105, 'grad_norm': 5.125059127807617, 'learning_rate': 3.171237779397494e-05, 'epoch': 0.04}

 44%|████▍     | 4428/10000 [10:57:12<18:54:31, 12.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7597503662109375, dino_loss: 0.6328125, depth_loss: 0.056324999779462814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.889336109161377, dino_loss: 0.7109375, depth_loss: 0.07120894640684128, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4429/10000 [10:57:23<18:37:13, 12.03s/it]
                                                          
{'loss': 2.4036, 'grad_norm': 2.1092917919158936, 'learning_rate': 3.1704413646408894e-05, 'epoch': 0.04}

 44%|████▍     | 4429/10000 [10:57:23<18:37:13, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8293092846870422, dino_loss: 0.70703125, depth_loss: 0.05867446959018707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0180495977401733, dino_loss: 0.640625, depth_loss: 0.06551013886928558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4430/10000 [10:57:35<18:21:55, 11.87s/it]
                                                          
{'loss': 2.6079, 'grad_norm': 2.964672327041626, 'learning_rate': 3.169644876565824e-05, 'epoch': 0.04}

 44%|████▍     | 4430/10000 [10:57:35<18:21:55, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9069769382476807, dino_loss: 0.71875, depth_loss: 0.06700491905212402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.908806562423706, dino_loss: 0.7578125, depth_loss: 0.0631856769323349, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4431/10000 [10:57:46<18:04:34, 11.69s/it]
                                                          
{'loss': 2.0662, 'grad_norm': 3.884974718093872, 'learning_rate': 3.168848315259402e-05, 'epoch': 0.04}

 44%|████▍     | 4431/10000 [10:57:46<18:04:34, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.956018328666687, dino_loss: 0.7421875, depth_loss: 0.06453056633472443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8385550379753113, dino_loss: 0.64453125, depth_loss: 0.05716735124588013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4432/10000 [10:57:58<18:04:38, 11.69s/it]
                                                          
{'loss': 1.8761, 'grad_norm': 2.7391366958618164, 'learning_rate': 3.168051680808735e-05, 'epoch': 0.04}

 44%|████▍     | 4432/10000 [10:57:58<18:04:38, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.828471302986145, dino_loss: 0.6328125, depth_loss: 0.062047079205513, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9085941314697266, dino_loss: 0.6640625, depth_loss: 0.06587200611829758, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4433/10000 [10:58:10<18:17:42, 11.83s/it]
                                                          
{'loss': 2.2527, 'grad_norm': 4.363523483276367, 'learning_rate': 3.1672549733009396e-05, 'epoch': 0.04}

 44%|████▍     | 4433/10000 [10:58:10<18:17:42, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7538571357727051, dino_loss: 0.640625, depth_loss: 0.04809117317199707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8883364200592041, dino_loss: 0.7265625, depth_loss: 0.07645788043737411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4434/10000 [10:58:22<18:13:05, 11.78s/it]
                                                          
{'loss': 2.1946, 'grad_norm': 2.182360887527466, 'learning_rate': 3.1664581928231426e-05, 'epoch': 0.04}

 44%|████▍     | 4434/10000 [10:58:22<18:13:05, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.981319010257721, dino_loss: 0.69921875, depth_loss: 0.07999388873577118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9350130558013916, dino_loss: 0.69140625, depth_loss: 0.0680360272526741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4435/10000 [10:58:34<18:26:53, 11.93s/it]
                                                          
{'loss': 2.5935, 'grad_norm': 3.200847625732422, 'learning_rate': 3.165661339462481e-05, 'epoch': 0.04}

 44%|████▍     | 4435/10000 [10:58:34<18:26:53, 11.93s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7837836146354675, dino_loss: 0.6875, depth_loss: 0.06015271693468094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8248652219772339, dino_loss: 0.609375, depth_loss: 0.05350394546985626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4436/10000 [10:58:46<18:35:20, 12.03s/it]
                                                          
{'loss': 2.168, 'grad_norm': 2.851931095123291, 'learning_rate': 3.164864413306096e-05, 'epoch': 0.04}

 44%|████▍     | 4436/10000 [10:58:46<18:35:20, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9188048839569092, dino_loss: 0.6796875, depth_loss: 0.05866532772779465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9005398750305176, dino_loss: 0.65625, depth_loss: 0.06287984549999237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4437/10000 [10:58:58<18:42:39, 12.11s/it]
                                                          
{'loss': 2.7946, 'grad_norm': 3.9471848011016846, 'learning_rate': 3.164067414441138e-05, 'epoch': 0.04}

 44%|████▍     | 4437/10000 [10:58:58<18:42:39, 12.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8362405896186829, dino_loss: 0.7109375, depth_loss: 0.07330502569675446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7708114981651306, dino_loss: 0.65234375, depth_loss: 0.06055939570069313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4438/10000 [10:59:10<18:32:52, 12.01s/it]
                                                          
{'loss': 2.2003, 'grad_norm': 2.914346218109131, 'learning_rate': 3.163270342954766e-05, 'epoch': 0.04}

 44%|████▍     | 4438/10000 [10:59:10<18:32:52, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9471918344497681, dino_loss: 0.6875, depth_loss: 0.05211823433637619, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9209097623825073, dino_loss: 0.7109375, depth_loss: 0.06398140639066696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4439/10000 [10:59:22<18:26:06, 11.93s/it]
                                                          
{'loss': 2.421, 'grad_norm': 2.5963990688323975, 'learning_rate': 3.162473198934147e-05, 'epoch': 0.04}

 44%|████▍     | 4439/10000 [10:59:22<18:26:06, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1152329444885254, dino_loss: 0.72265625, depth_loss: 0.07037989050149918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8792077302932739, dino_loss: 0.6953125, depth_loss: 0.049080539494752884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4440/10000 [10:59:33<18:12:22, 11.79s/it]
                                                          
{'loss': 2.5363, 'grad_norm': 5.081168174743652, 'learning_rate': 3.161675982466454e-05, 'epoch': 0.04}

 44%|████▍     | 4440/10000 [10:59:33<18:12:22, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.958451509475708, dino_loss: 0.734375, depth_loss: 0.07311265170574188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9347029328346252, dino_loss: 0.72265625, depth_loss: 0.06520577520132065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4441/10000 [10:59:45<18:05:25, 11.72s/it]
                                                          
{'loss': 2.2349, 'grad_norm': 3.8369362354278564, 'learning_rate': 3.160878693638871e-05, 'epoch': 0.04}

 44%|████▍     | 4441/10000 [10:59:45<18:05:25, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8477400541305542, dino_loss: 0.765625, depth_loss: 0.07370096445083618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.796272337436676, dino_loss: 0.6796875, depth_loss: 0.047985102981328964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4442/10000 [10:59:57<18:14:55, 11.82s/it]
                                                          
{'loss': 2.509, 'grad_norm': 3.666909694671631, 'learning_rate': 3.1600813325385883e-05, 'epoch': 0.04}

 44%|████▍     | 4442/10000 [10:59:57<18:14:55, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9835841655731201, dino_loss: 0.74609375, depth_loss: 0.043629541993141174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8435559868812561, dino_loss: 0.7265625, depth_loss: 0.06977834552526474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4443/10000 [11:00:09<18:11:04, 11.78s/it]
                                                          
{'loss': 2.6255, 'grad_norm': 3.2705352306365967, 'learning_rate': 3.1592838992528024e-05, 'epoch': 0.04}

 44%|████▍     | 4443/10000 [11:00:09<18:11:04, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.863051176071167, dino_loss: 0.71875, depth_loss: 0.04801434278488159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.7060877084732056, dino_loss: 0.69921875, depth_loss: 0.05996958538889885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4444/10000 [11:00:21<18:15:51, 11.83s/it]
                                                          
{'loss': 2.2583, 'grad_norm': 2.0913946628570557, 'learning_rate': 3.1584863938687206e-05, 'epoch': 0.04}

 44%|████▍     | 4444/10000 [11:00:21<18:15:51, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6374606490135193, dino_loss: 0.62109375, depth_loss: 0.05551730841398239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.9191404581069946, dino_loss: 0.7265625, depth_loss: 0.048135895282030106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4445/10000 [11:00:32<18:04:42, 11.72s/it]
                                                          
{'loss': 1.9991, 'grad_norm': 2.8258304595947266, 'learning_rate': 3.1576888164735575e-05, 'epoch': 0.04}

 44%|████▍     | 4445/10000 [11:00:32<18:04:42, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8995581269264221, dino_loss: 0.73046875, depth_loss: 0.07315845042467117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7587693333625793, dino_loss: 0.6796875, depth_loss: 0.07539860904216766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4446/10000 [11:00:43<17:55:48, 11.62s/it]
                                                          
{'loss': 1.6165, 'grad_norm': 6.435807704925537, 'learning_rate': 3.156891167154533e-05, 'epoch': 0.04}

 44%|████▍     | 4446/10000 [11:00:43<17:55:48, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7876499891281128, dino_loss: 0.68359375, depth_loss: 0.0570458322763443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9092097878456116, dino_loss: 0.69921875, depth_loss: 0.06995479762554169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4447/10000 [11:00:55<18:02:04, 11.69s/it]
                                                          
{'loss': 2.3231, 'grad_norm': 3.3804774284362793, 'learning_rate': 3.1560934459988795e-05, 'epoch': 0.04}

 44%|████▍     | 4447/10000 [11:00:55<18:02:04, 11.69s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7542295455932617, dino_loss: 0.609375, depth_loss: 0.04958256334066391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0430933237075806, dino_loss: 0.6640625, depth_loss: 0.07290726155042648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4448/10000 [11:01:07<17:55:50, 11.63s/it]
                                                          
{'loss': 1.8958, 'grad_norm': 3.593086004257202, 'learning_rate': 3.1552956530938324e-05, 'epoch': 0.04}

 44%|████▍     | 4448/10000 [11:01:07<17:55:50, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.76203453540802, dino_loss: 0.6171875, depth_loss: 0.04877844452857971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9505569338798523, dino_loss: 0.7578125, depth_loss: 0.05762161314487457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4449/10000 [11:01:18<17:44:03, 11.50s/it]
                                                          
{'loss': 1.9272, 'grad_norm': 2.6224887371063232, 'learning_rate': 3.154497788526638e-05, 'epoch': 0.04}

 44%|████▍     | 4449/10000 [11:01:18<17:44:03, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9007323384284973, dino_loss: 0.67578125, depth_loss: 0.057563040405511856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7982428073883057, dino_loss: 0.70703125, depth_loss: 0.0633205994963646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 44%|████▍     | 4450/10000 [11:01:30<17:52:58, 11.60s/it]
                                                          
{'loss': 2.2838, 'grad_norm': 2.9088077545166016, 'learning_rate': 3.1536998523845494e-05, 'epoch': 0.04}

 44%|████▍     | 4450/10000 [11:01:30<17:52:58, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7430627942085266, dino_loss: 0.66015625, depth_loss: 0.06677162647247314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8580211400985718, dino_loss: 0.6875, depth_loss: 0.060673926025629044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4451/10000 [11:01:42<18:00:50, 11.69s/it]
                                                          
{'loss': 2.1376, 'grad_norm': 3.3755316734313965, 'learning_rate': 3.152901844754828e-05, 'epoch': 0.04}

 45%|████▍     | 4451/10000 [11:01:42<18:00:50, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8680352568626404, dino_loss: 0.6875, depth_loss: 0.07003972679376602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7409250736236572, dino_loss: 0.62890625, depth_loss: 0.053002335131168365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4452/10000 [11:01:54<18:06:25, 11.75s/it]
                                                          
{'loss': 2.0521, 'grad_norm': 4.887547492980957, 'learning_rate': 3.152103765724743e-05, 'epoch': 0.04}

 45%|████▍     | 4452/10000 [11:01:54<18:06:25, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.73617023229599, dino_loss: 0.62109375, depth_loss: 0.0437040738761425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7501798868179321, dino_loss: 0.6171875, depth_loss: 0.06833598762750626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4453/10000 [11:02:05<17:57:28, 11.65s/it]
                                                          
{'loss': 1.7693, 'grad_norm': 2.367882013320923, 'learning_rate': 3.151305615381569e-05, 'epoch': 0.04}

 45%|████▍     | 4453/10000 [11:02:05<17:57:28, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7308517694473267, dino_loss: 0.58203125, depth_loss: 0.04000343009829521, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7377530336380005, dino_loss: 0.703125, depth_loss: 0.06844250857830048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4454/10000 [11:02:17<18:10:49, 11.80s/it]
                                                          
{'loss': 2.4852, 'grad_norm': 3.224438190460205, 'learning_rate': 3.150507393812594e-05, 'epoch': 0.04}

 45%|████▍     | 4454/10000 [11:02:17<18:10:49, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6865242719650269, dino_loss: 0.6796875, depth_loss: 0.048972103744745255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7304258942604065, dino_loss: 0.63671875, depth_loss: 0.06491713225841522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4455/10000 [11:02:29<18:11:06, 11.81s/it]
                                                          
{'loss': 2.2024, 'grad_norm': 3.129493474960327, 'learning_rate': 3.149709101105107e-05, 'epoch': 0.04}

 45%|████▍     | 4455/10000 [11:02:29<18:11:06, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7612389326095581, dino_loss: 0.73046875, depth_loss: 0.07031504809856415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8856605887413025, dino_loss: 0.63671875, depth_loss: 0.057786304503679276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4456/10000 [11:02:41<18:10:46, 11.81s/it]
                                                          
{'loss': 2.0337, 'grad_norm': 3.362527847290039, 'learning_rate': 3.14891073734641e-05, 'epoch': 0.04}

 45%|████▍     | 4456/10000 [11:02:41<18:10:46, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7556076049804688, dino_loss: 0.671875, depth_loss: 0.039822373539209366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9726822376251221, dino_loss: 0.7109375, depth_loss: 0.07821252197027206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4457/10000 [11:02:53<18:13:18, 11.83s/it]
                                                          
{'loss': 2.3498, 'grad_norm': 2.5765397548675537, 'learning_rate': 3.148112302623811e-05, 'epoch': 0.04}

 45%|████▍     | 4457/10000 [11:02:53<18:13:18, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9337347149848938, dino_loss: 0.6484375, depth_loss: 0.06841300427913666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8706480264663696, dino_loss: 0.703125, depth_loss: 0.08463156223297119, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4458/10000 [11:03:04<17:56:16, 11.65s/it]
                                                          
{'loss': 1.6705, 'grad_norm': 6.152495861053467, 'learning_rate': 3.1473137970246246e-05, 'epoch': 0.04}

 45%|████▍     | 4458/10000 [11:03:04<17:56:16, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7709914445877075, dino_loss: 0.71875, depth_loss: 0.053847745060920715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.071118950843811, dino_loss: 0.703125, depth_loss: 0.0635036751627922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4459/10000 [11:03:15<17:51:04, 11.60s/it]
                                                          
{'loss': 2.2484, 'grad_norm': 3.144834518432617, 'learning_rate': 3.1465152206361736e-05, 'epoch': 0.04}

 45%|████▍     | 4459/10000 [11:03:15<17:51:04, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8790636658668518, dino_loss: 0.703125, depth_loss: 0.08007840812206268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9156512022018433, dino_loss: 0.71875, depth_loss: 0.05510525032877922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4460/10000 [11:03:27<17:39:47, 11.48s/it]
                                                          
{'loss': 2.2273, 'grad_norm': 4.3772478103637695, 'learning_rate': 3.145716573545792e-05, 'epoch': 0.04}

 45%|████▍     | 4460/10000 [11:03:27<17:39:47, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9075876474380493, dino_loss: 0.703125, depth_loss: 0.06870310008525848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0765635967254639, dino_loss: 0.71484375, depth_loss: 0.05329945683479309, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4461/10000 [11:03:38<17:38:26, 11.47s/it]
                                                          
{'loss': 2.2487, 'grad_norm': 5.1059393882751465, 'learning_rate': 3.1449178558408155e-05, 'epoch': 0.04}

 45%|████▍     | 4461/10000 [11:03:38<17:38:26, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0081467628479004, dino_loss: 0.65625, depth_loss: 0.050604984164237976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.927346408367157, dino_loss: 0.6640625, depth_loss: 0.07544495165348053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4462/10000 [11:03:49<17:34:52, 11.43s/it]
                                                          
{'loss': 2.2086, 'grad_norm': 2.6911251544952393, 'learning_rate': 3.1441190676085916e-05, 'epoch': 0.04}

 45%|████▍     | 4462/10000 [11:03:49<17:34:52, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8208303451538086, dino_loss: 0.70703125, depth_loss: 0.06027110666036606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7002561092376709, dino_loss: 0.5859375, depth_loss: 0.044613711535930634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4463/10000 [11:04:01<17:49:02, 11.58s/it]
                                                          
{'loss': 1.8093, 'grad_norm': 5.261659145355225, 'learning_rate': 3.1433202089364756e-05, 'epoch': 0.04}

 45%|████▍     | 4463/10000 [11:04:01<17:49:02, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8921753168106079, dino_loss: 0.69921875, depth_loss: 0.06912896782159805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8174268007278442, dino_loss: 0.6875, depth_loss: 0.06326067447662354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4464/10000 [11:04:13<17:45:39, 11.55s/it]
                                                          
{'loss': 2.3062, 'grad_norm': 7.672554016113281, 'learning_rate': 3.1425212799118284e-05, 'epoch': 0.04}

 45%|████▍     | 4464/10000 [11:04:13<17:45:39, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9348180890083313, dino_loss: 0.671875, depth_loss: 0.07122568786144257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6660094261169434, dino_loss: 0.62890625, depth_loss: 0.04895133897662163, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4465/10000 [11:04:25<17:59:17, 11.70s/it]
                                                          
{'loss': 2.7304, 'grad_norm': 2.868000030517578, 'learning_rate': 3.141722280622021e-05, 'epoch': 0.04}

 45%|████▍     | 4465/10000 [11:04:25<17:59:17, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7401531338691711, dino_loss: 0.765625, depth_loss: 0.059072788804769516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9188631772994995, dino_loss: 0.734375, depth_loss: 0.07508585602045059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4466/10000 [11:04:37<18:10:40, 11.83s/it]
                                                          
{'loss': 2.2463, 'grad_norm': 2.9154093265533447, 'learning_rate': 3.140923211154428e-05, 'epoch': 0.04}

 45%|████▍     | 4466/10000 [11:04:37<18:10:40, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9083359837532043, dino_loss: 0.734375, depth_loss: 0.08342139422893524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.966580331325531, dino_loss: 0.6796875, depth_loss: 0.04787479713559151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4467/10000 [11:04:49<18:11:12, 11.83s/it]
                                                          
{'loss': 2.2432, 'grad_norm': 1.9633097648620605, 'learning_rate': 3.140124071596437e-05, 'epoch': 0.04}

 45%|████▍     | 4467/10000 [11:04:49<18:11:12, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.846739649772644, dino_loss: 0.70703125, depth_loss: 0.06340071558952332, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7296044826507568, dino_loss: 0.69140625, depth_loss: 0.05478788539767265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4468/10000 [11:05:01<18:08:06, 11.80s/it]
                                                          
{'loss': 2.1427, 'grad_norm': 2.3700075149536133, 'learning_rate': 3.139324862035441e-05, 'epoch': 0.04}

 45%|████▍     | 4468/10000 [11:05:01<18:08:06, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8217998743057251, dino_loss: 0.66796875, depth_loss: 0.05803673714399338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.837291419506073, dino_loss: 0.6328125, depth_loss: 0.04071938619017601, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4469/10000 [11:05:12<18:04:06, 11.76s/it]
                                                          
{'loss': 2.3029, 'grad_norm': 2.5848801136016846, 'learning_rate': 3.1385255825588387e-05, 'epoch': 0.04}

 45%|████▍     | 4469/10000 [11:05:12<18:04:06, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9534943699836731, dino_loss: 0.70703125, depth_loss: 0.06721800565719604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0213916301727295, dino_loss: 0.6953125, depth_loss: 0.05767962709069252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4470/10000 [11:05:24<17:53:07, 11.64s/it]
                                                          
{'loss': 2.1087, 'grad_norm': 4.401237964630127, 'learning_rate': 3.137726233254038e-05, 'epoch': 0.04}

 45%|████▍     | 4470/10000 [11:05:24<17:53:07, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9382736682891846, dino_loss: 0.65625, depth_loss: 0.06032564863562584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7582634687423706, dino_loss: 0.62109375, depth_loss: 0.04923189431428909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4471/10000 [11:05:35<17:46:30, 11.57s/it]
                                                          
{'loss': 2.1444, 'grad_norm': 3.1035449504852295, 'learning_rate': 3.1369268142084556e-05, 'epoch': 0.04}

 45%|████▍     | 4471/10000 [11:05:35<17:46:30, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.860514223575592, dino_loss: 0.69921875, depth_loss: 0.058912795037031174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1464239358901978, dino_loss: 0.71484375, depth_loss: 0.06722148507833481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4472/10000 [11:05:46<17:40:45, 11.51s/it]
                                                          
{'loss': 1.9572, 'grad_norm': 4.548457145690918, 'learning_rate': 3.1361273255095146e-05, 'epoch': 0.04}

 45%|████▍     | 4472/10000 [11:05:46<17:40:45, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0240271091461182, dino_loss: 0.6640625, depth_loss: 0.05532064288854599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8645690679550171, dino_loss: 0.734375, depth_loss: 0.0769621729850769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4473/10000 [11:05:59<18:04:09, 11.77s/it]
                                                          
{'loss': 2.7233, 'grad_norm': 3.1576225757598877, 'learning_rate': 3.135327767244646e-05, 'epoch': 0.04}

 45%|████▍     | 4473/10000 [11:05:59<18:04:09, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7672224640846252, dino_loss: 0.65625, depth_loss: 0.05574800819158554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7001297473907471, dino_loss: 0.65625, depth_loss: 0.06794966757297516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4474/10000 [11:06:11<18:04:33, 11.78s/it]
                                                          
{'loss': 2.2488, 'grad_norm': 2.21429705619812, 'learning_rate': 3.1345281395012874e-05, 'epoch': 0.04}

 45%|████▍     | 4474/10000 [11:06:11<18:04:33, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9177792072296143, dino_loss: 0.69140625, depth_loss: 0.06921276450157166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.12196683883667, dino_loss: 0.69140625, depth_loss: 0.07009850442409515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4475/10000 [11:06:22<17:51:52, 11.64s/it]
                                                          
{'loss': 2.1201, 'grad_norm': 6.351428985595703, 'learning_rate': 3.133728442366885e-05, 'epoch': 0.04}

 45%|████▍     | 4475/10000 [11:06:22<17:51:52, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7294286489486694, dino_loss: 0.65234375, depth_loss: 0.0535246804356575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0387747287750244, dino_loss: 0.71484375, depth_loss: 0.05622200295329094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4476/10000 [11:06:34<18:03:51, 11.77s/it]
                                                          
{'loss': 2.3013, 'grad_norm': 2.47976016998291, 'learning_rate': 3.132928675928894e-05, 'epoch': 0.04}

 45%|████▍     | 4476/10000 [11:06:34<18:03:51, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7915432453155518, dino_loss: 0.67578125, depth_loss: 0.05094058811664581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8248453736305237, dino_loss: 0.7421875, depth_loss: 0.057867880910634995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4477/10000 [11:06:46<18:02:33, 11.76s/it]
                                                          
{'loss': 2.0943, 'grad_norm': 3.257352590560913, 'learning_rate': 3.132128840274774e-05, 'epoch': 0.04}

 45%|████▍     | 4477/10000 [11:06:46<18:02:33, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7795950770378113, dino_loss: 0.68359375, depth_loss: 0.05760269612073898, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8342040777206421, dino_loss: 0.7109375, depth_loss: 0.07073520123958588, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4478/10000 [11:06:58<18:15:18, 11.90s/it]
                                                          
{'loss': 2.0821, 'grad_norm': 5.758517742156982, 'learning_rate': 3.1313289354919945e-05, 'epoch': 0.04}

 45%|████▍     | 4478/10000 [11:06:58<18:15:18, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.985630989074707, dino_loss: 0.7421875, depth_loss: 0.11161082983016968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8910932540893555, dino_loss: 0.76171875, depth_loss: 0.06655405461788177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4479/10000 [11:07:10<18:07:05, 11.81s/it]
                                                          
{'loss': 2.6603, 'grad_norm': 4.443996429443359, 'learning_rate': 3.130528961668032e-05, 'epoch': 0.04}

 45%|████▍     | 4479/10000 [11:07:10<18:07:05, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7023481726646423, dino_loss: 0.66796875, depth_loss: 0.06594934314489365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9239174127578735, dino_loss: 0.69921875, depth_loss: 0.07126206159591675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4480/10000 [11:07:21<17:57:12, 11.71s/it]
                                                          
{'loss': 1.995, 'grad_norm': 2.6382553577423096, 'learning_rate': 3.129728918890371e-05, 'epoch': 0.04}

 45%|████▍     | 4480/10000 [11:07:21<17:57:12, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9483450055122375, dino_loss: 0.69921875, depth_loss: 0.0632961094379425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7438343167304993, dino_loss: 0.66796875, depth_loss: 0.07173336297273636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4481/10000 [11:07:33<17:55:00, 11.69s/it]
                                                          
{'loss': 2.1511, 'grad_norm': 2.5312957763671875, 'learning_rate': 3.1289288072465e-05, 'epoch': 0.04}

 45%|████▍     | 4481/10000 [11:07:33<17:55:00, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8173832297325134, dino_loss: 0.65625, depth_loss: 0.06714234501123428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8116975426673889, dino_loss: 0.64453125, depth_loss: 0.08162893354892731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4482/10000 [11:07:44<17:56:32, 11.71s/it]
                                                          
{'loss': 1.7298, 'grad_norm': 2.3012242317199707, 'learning_rate': 3.128128626823922e-05, 'epoch': 0.04}

 45%|████▍     | 4482/10000 [11:07:44<17:56:32, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8060524463653564, dino_loss: 0.734375, depth_loss: 0.058177586644887924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7569577693939209, dino_loss: 0.7109375, depth_loss: 0.05136869102716446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4483/10000 [11:07:56<17:59:34, 11.74s/it]
                                                          
{'loss': 2.2133, 'grad_norm': 4.174227714538574, 'learning_rate': 3.127328377710142e-05, 'epoch': 0.04}

 45%|████▍     | 4483/10000 [11:07:56<17:59:34, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9295276403427124, dino_loss: 0.703125, depth_loss: 0.0526120625436306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 2
seg_loss: 1.1849868297576904, dino_loss: 0.7109375, depth_loss: 0.06331954896450043, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4484/10000 [11:08:08<17:51:36, 11.66s/it]
                                                          
{'loss': 2.2749, 'grad_norm': 9.364326477050781, 'learning_rate': 3.126528059992673e-05, 'epoch': 0.04}

 45%|████▍     | 4484/10000 [11:08:08<17:51:36, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8120318651199341, dino_loss: 0.71484375, depth_loss: 0.06605084240436554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8068294525146484, dino_loss: 0.6484375, depth_loss: 0.05376621335744858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4485/10000 [11:08:19<17:54:14, 11.69s/it]
                                                          
{'loss': 2.3417, 'grad_norm': 4.659061908721924, 'learning_rate': 3.1257276737590365e-05, 'epoch': 0.04}

 45%|████▍     | 4485/10000 [11:08:19<17:54:14, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8844261765480042, dino_loss: 0.6640625, depth_loss: 0.051361143589019775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.781453549861908, dino_loss: 0.6875, depth_loss: 0.04461963474750519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4486/10000 [11:08:31<17:53:22, 11.68s/it]
                                                          
{'loss': 2.3198, 'grad_norm': 2.5992133617401123, 'learning_rate': 3.124927219096764e-05, 'epoch': 0.04}

 45%|████▍     | 4486/10000 [11:08:31<17:53:22, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8211078643798828, dino_loss: 0.65625, depth_loss: 0.05231434106826782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0613760948181152, dino_loss: 0.67578125, depth_loss: 0.06467819958925247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4487/10000 [11:08:43<17:57:21, 11.73s/it]
                                                          
{'loss': 2.274, 'grad_norm': 3.3685085773468018, 'learning_rate': 3.1241266960933904e-05, 'epoch': 0.04}

 45%|████▍     | 4487/10000 [11:08:43<17:57:21, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7855657339096069, dino_loss: 0.68359375, depth_loss: 0.057757213711738586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8815881013870239, dino_loss: 0.6796875, depth_loss: 0.04853702336549759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4488/10000 [11:08:54<17:47:26, 11.62s/it]
                                                          
{'loss': 1.7677, 'grad_norm': 3.486923933029175, 'learning_rate': 3.123326104836458e-05, 'epoch': 0.04}

 45%|████▍     | 4488/10000 [11:08:54<17:47:26, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9113878011703491, dino_loss: 0.68359375, depth_loss: 0.053245048969984055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8353557586669922, dino_loss: 0.6640625, depth_loss: 0.05446125566959381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4489/10000 [11:09:07<18:08:44, 11.85s/it]
                                                          
{'loss': 2.0423, 'grad_norm': 8.132150650024414, 'learning_rate': 3.122525445413521e-05, 'epoch': 0.04}

 45%|████▍     | 4489/10000 [11:09:07<18:08:44, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7868250608444214, dino_loss: 0.66015625, depth_loss: 0.048823658376932144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8002574443817139, dino_loss: 0.68359375, depth_loss: 0.06412721425294876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4490/10000 [11:09:18<18:07:16, 11.84s/it]
                                                          
{'loss': 2.2306, 'grad_norm': 2.5512638092041016, 'learning_rate': 3.121724717912138e-05, 'epoch': 0.04}

 45%|████▍     | 4490/10000 [11:09:18<18:07:16, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8843351602554321, dino_loss: 0.74609375, depth_loss: 0.07316012680530548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9916664958000183, dino_loss: 0.69921875, depth_loss: 0.05797705054283142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4491/10000 [11:09:30<18:00:14, 11.77s/it]
                                                          
{'loss': 2.3533, 'grad_norm': 2.9294052124023438, 'learning_rate': 3.1209239224198724e-05, 'epoch': 0.04}

 45%|████▍     | 4491/10000 [11:09:30<18:00:14, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7787034511566162, dino_loss: 0.67578125, depth_loss: 0.06311053037643433, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.723365306854248, dino_loss: 0.6796875, depth_loss: 0.06140065938234329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4492/10000 [11:09:41<17:46:48, 11.62s/it]
                                                          
{'loss': 1.4956, 'grad_norm': 2.983555555343628, 'learning_rate': 3.120123059024303e-05, 'epoch': 0.04}

 45%|████▍     | 4492/10000 [11:09:41<17:46:48, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8239775896072388, dino_loss: 0.609375, depth_loss: 0.043554458767175674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7569288015365601, dino_loss: 0.65234375, depth_loss: 0.053811341524124146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4493/10000 [11:09:53<17:41:03, 11.56s/it]
                                                          
{'loss': 1.673, 'grad_norm': 2.9871180057525635, 'learning_rate': 3.119322127813006e-05, 'epoch': 0.04}

 45%|████▍     | 4493/10000 [11:09:53<17:41:03, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7624871730804443, dino_loss: 0.71875, depth_loss: 0.05813340097665787, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9308533668518066, dino_loss: 0.70703125, depth_loss: 0.0779508426785469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4494/10000 [11:10:05<17:54:23, 11.71s/it]
                                                          
{'loss': 2.3685, 'grad_norm': 4.176706314086914, 'learning_rate': 3.118521128873573e-05, 'epoch': 0.04}

 45%|████▍     | 4494/10000 [11:10:05<17:54:23, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7535630464553833, dino_loss: 0.6640625, depth_loss: 0.04623405262827873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.038094401359558, dino_loss: 0.703125, depth_loss: 0.06406186521053314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4495/10000 [11:10:17<18:10:53, 11.89s/it]
                                                          
{'loss': 2.6583, 'grad_norm': 5.452051639556885, 'learning_rate': 3.117720062293599e-05, 'epoch': 0.04}

 45%|████▍     | 4495/10000 [11:10:17<18:10:53, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8292742371559143, dino_loss: 0.64453125, depth_loss: 0.0716669037938118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8525426387786865, dino_loss: 0.734375, depth_loss: 0.07079581171274185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4496/10000 [11:10:29<18:07:18, 11.85s/it]
                                                          
{'loss': 2.542, 'grad_norm': 2.488642454147339, 'learning_rate': 3.116918928160688e-05, 'epoch': 0.04}

 45%|████▍     | 4496/10000 [11:10:29<18:07:18, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8159477114677429, dino_loss: 0.66015625, depth_loss: 0.06360095739364624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0071252584457397, dino_loss: 0.69921875, depth_loss: 0.08361958712339401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4497/10000 [11:10:41<18:05:12, 11.83s/it]
                                                          
{'loss': 2.2111, 'grad_norm': 3.087069511413574, 'learning_rate': 3.116117726562451e-05, 'epoch': 0.04}

 45%|████▍     | 4497/10000 [11:10:41<18:05:12, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9451616406440735, dino_loss: 0.73828125, depth_loss: 0.05891769006848335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9547488689422607, dino_loss: 0.69140625, depth_loss: 0.07368383556604385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4498/10000 [11:10:53<18:10:03, 11.89s/it]
                                                          
{'loss': 2.6072, 'grad_norm': 7.15234899520874, 'learning_rate': 3.1153164575865046e-05, 'epoch': 0.04}

 45%|████▍     | 4498/10000 [11:10:53<18:10:03, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8063170313835144, dino_loss: 0.74609375, depth_loss: 0.053236495703458786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8111951947212219, dino_loss: 0.69140625, depth_loss: 0.0606539249420166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▍     | 4499/10000 [11:11:05<18:20:20, 12.00s/it]
                                                          
{'loss': 1.9829, 'grad_norm': 3.638173818588257, 'learning_rate': 3.114515121320476e-05, 'epoch': 0.04}

 45%|████▍     | 4499/10000 [11:11:05<18:20:20, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9272140860557556, dino_loss: 0.73046875, depth_loss: 0.07502157986164093, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7160494923591614, dino_loss: 0.68359375, depth_loss: 0.04873655363917351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4500/10000 [11:11:17<18:11:17, 11.90s/it]
                                                          
{'loss': 2.3155, 'grad_norm': 2.5818729400634766, 'learning_rate': 3.1137137178519985e-05, 'epoch': 0.04}

 45%|████▌     | 4500/10000 [11:11:17<18:11:17, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7810621857643127, dino_loss: 0.640625, depth_loss: 0.05432574823498726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9475834965705872, dino_loss: 0.68359375, depth_loss: 0.0717666745185852, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4501/10000 [11:11:27<17:40:56, 11.58s/it]
                                                          
{'loss': 1.8842, 'grad_norm': 2.2401468753814697, 'learning_rate': 3.11291224726871e-05, 'epoch': 0.04}

 45%|████▌     | 4501/10000 [11:11:27<17:40:56, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9066126942634583, dino_loss: 0.68359375, depth_loss: 0.0700971782207489, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9043064117431641, dino_loss: 0.7109375, depth_loss: 0.0609661303460598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4502/10000 [11:11:39<17:32:51, 11.49s/it]
                                                          
{'loss': 1.8988, 'grad_norm': 2.4359731674194336, 'learning_rate': 3.112110709658261e-05, 'epoch': 0.04}

 45%|████▌     | 4502/10000 [11:11:39<17:32:51, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8448498249053955, dino_loss: 0.67578125, depth_loss: 0.05378168821334839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7355508208274841, dino_loss: 0.66796875, depth_loss: 0.05197462812066078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4503/10000 [11:11:50<17:30:52, 11.47s/it]
                                                          
{'loss': 2.0325, 'grad_norm': 4.107000350952148, 'learning_rate': 3.111309105108304e-05, 'epoch': 0.04}

 45%|████▌     | 4503/10000 [11:11:50<17:30:52, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9417213201522827, dino_loss: 0.671875, depth_loss: 0.05636395886540413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.682375967502594, dino_loss: 0.671875, depth_loss: 0.05257490277290344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4504/10000 [11:12:02<17:31:39, 11.48s/it]
                                                          
{'loss': 1.753, 'grad_norm': 2.9820051193237305, 'learning_rate': 3.1105074337065035e-05, 'epoch': 0.04}

 45%|████▌     | 4504/10000 [11:12:02<17:31:39, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.996906042098999, dino_loss: 0.68359375, depth_loss: 0.05770774930715561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7844078540802002, dino_loss: 0.6875, depth_loss: 0.06152466684579849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4505/10000 [11:12:13<17:37:56, 11.55s/it]
                                                          
{'loss': 2.4881, 'grad_norm': 2.286076068878174, 'learning_rate': 3.1097056955405274e-05, 'epoch': 0.04}

 45%|████▌     | 4505/10000 [11:12:13<17:37:56, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7768998146057129, dino_loss: 0.64453125, depth_loss: 0.054744377732276917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8579590916633606, dino_loss: 0.7421875, depth_loss: 0.07247859984636307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4506/10000 [11:12:25<17:40:32, 11.58s/it]
                                                          
{'loss': 2.2212, 'grad_norm': 2.4013864994049072, 'learning_rate': 3.108903890698053e-05, 'epoch': 0.04}

 45%|████▌     | 4506/10000 [11:12:25<17:40:32, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7825593948364258, dino_loss: 0.7265625, depth_loss: 0.06466226279735565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9525071382522583, dino_loss: 0.7421875, depth_loss: 0.06695730984210968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4507/10000 [11:12:37<17:43:07, 11.61s/it]
                                                          
{'loss': 2.2114, 'grad_norm': 3.333650827407837, 'learning_rate': 3.108102019266764e-05, 'epoch': 0.04}

 45%|████▌     | 4507/10000 [11:12:37<17:43:07, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8541989326477051, dino_loss: 0.671875, depth_loss: 0.07052798569202423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8642345070838928, dino_loss: 0.703125, depth_loss: 0.0737377256155014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4508/10000 [11:12:48<17:38:04, 11.56s/it]
                                                          
{'loss': 1.917, 'grad_norm': 2.9514589309692383, 'learning_rate': 3.107300081334353e-05, 'epoch': 0.04}

 45%|████▌     | 4508/10000 [11:12:48<17:38:04, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9903702139854431, dino_loss: 0.6796875, depth_loss: 0.06918954849243164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9683960676193237, dino_loss: 0.71875, depth_loss: 0.06295889616012573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4509/10000 [11:13:00<17:34:01, 11.52s/it]
                                                          
{'loss': 2.0603, 'grad_norm': 10.602460861206055, 'learning_rate': 3.1064980769885187e-05, 'epoch': 0.04}

 45%|████▌     | 4509/10000 [11:13:00<17:34:01, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0395865440368652, dino_loss: 0.7421875, depth_loss: 0.07020580768585205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9673299789428711, dino_loss: 0.6796875, depth_loss: 0.061341095715761185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4510/10000 [11:13:11<17:37:28, 11.56s/it]
                                                          
{'loss': 2.4813, 'grad_norm': 5.373595237731934, 'learning_rate': 3.105696006316966e-05, 'epoch': 0.04}

 45%|████▌     | 4510/10000 [11:13:11<17:37:28, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8172366619110107, dino_loss: 0.70703125, depth_loss: 0.06411989033222198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8034488558769226, dino_loss: 0.71484375, depth_loss: 0.05575673282146454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4511/10000 [11:13:23<17:49:01, 11.69s/it]
                                                          
{'loss': 2.2675, 'grad_norm': 3.8554179668426514, 'learning_rate': 3.1048938694074095e-05, 'epoch': 0.04}

 45%|████▌     | 4511/10000 [11:13:23<17:49:01, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7976301908493042, dino_loss: 0.703125, depth_loss: 0.08217085152864456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0448521375656128, dino_loss: 0.72265625, depth_loss: 0.06264863163232803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4512/10000 [11:13:35<17:44:36, 11.64s/it]
                                                          
{'loss': 2.046, 'grad_norm': 3.5284087657928467, 'learning_rate': 3.1040916663475676e-05, 'epoch': 0.04}

 45%|████▌     | 4512/10000 [11:13:35<17:44:36, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7912397384643555, dino_loss: 0.703125, depth_loss: 0.04857621341943741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9718087911605835, dino_loss: 0.6953125, depth_loss: 0.05620618164539337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4513/10000 [11:13:47<17:57:32, 11.78s/it]
                                                          
{'loss': 2.3533, 'grad_norm': 3.689079523086548, 'learning_rate': 3.10328939722517e-05, 'epoch': 0.04}

 45%|████▌     | 4513/10000 [11:13:47<17:57:32, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7774354815483093, dino_loss: 0.64453125, depth_loss: 0.0564442053437233, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8572006225585938, dino_loss: 0.734375, depth_loss: 0.07261893898248672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4514/10000 [11:13:58<17:35:12, 11.54s/it]
                                                          
{'loss': 1.9039, 'grad_norm': 2.977248430252075, 'learning_rate': 3.102487062127951e-05, 'epoch': 0.04}

 45%|████▌     | 4514/10000 [11:13:58<17:35:12, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0375858545303345, dino_loss: 0.69921875, depth_loss: 0.06887321174144745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9532041549682617, dino_loss: 0.68359375, depth_loss: 0.05452471971511841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4515/10000 [11:14:10<17:37:57, 11.57s/it]
                                                          
{'loss': 2.2459, 'grad_norm': 13.893518447875977, 'learning_rate': 3.101684661143653e-05, 'epoch': 0.04}

 45%|████▌     | 4515/10000 [11:14:10<17:37:57, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0057182312011719, dino_loss: 0.73046875, depth_loss: 0.07052020728588104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8144078254699707, dino_loss: 0.71484375, depth_loss: 0.07016340643167496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4516/10000 [11:14:21<17:40:17, 11.60s/it]
                                                          
{'loss': 2.4635, 'grad_norm': 2.655801296234131, 'learning_rate': 3.1008821943600244e-05, 'epoch': 0.04}

 45%|████▌     | 4516/10000 [11:14:21<17:40:17, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9568506479263306, dino_loss: 0.6796875, depth_loss: 0.05642407760024071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9788297414779663, dino_loss: 0.6796875, depth_loss: 0.06230715289711952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4517/10000 [11:14:32<17:26:44, 11.45s/it]
                                                          
{'loss': 2.1288, 'grad_norm': 3.7471492290496826, 'learning_rate': 3.1000796618648225e-05, 'epoch': 0.04}

 45%|████▌     | 4517/10000 [11:14:32<17:26:44, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7833812236785889, dino_loss: 0.65625, depth_loss: 0.06478888541460037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7151170969009399, dino_loss: 0.66796875, depth_loss: 0.04683360829949379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4518/10000 [11:14:44<17:33:10, 11.53s/it]
                                                          
{'loss': 1.8932, 'grad_norm': 3.8757426738739014, 'learning_rate': 3.099277063745811e-05, 'epoch': 0.04}

 45%|████▌     | 4518/10000 [11:14:44<17:33:10, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9854286909103394, dino_loss: 0.6875, depth_loss: 0.07647016644477844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0410423278808594, dino_loss: 0.7109375, depth_loss: 0.07367362827062607, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4519/10000 [11:14:55<17:21:36, 11.40s/it]
                                                          
{'loss': 2.1857, 'grad_norm': 2.6311488151550293, 'learning_rate': 3.0984744000907615e-05, 'epoch': 0.04}

 45%|████▌     | 4519/10000 [11:14:55<17:21:36, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.766232430934906, dino_loss: 0.7421875, depth_loss: 0.06431519985198975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8030421733856201, dino_loss: 0.65234375, depth_loss: 0.049445804208517075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4520/10000 [11:15:07<17:22:16, 11.41s/it]
                                                          
{'loss': 2.2582, 'grad_norm': 2.120417833328247, 'learning_rate': 3.0976716709874496e-05, 'epoch': 0.04}

 45%|████▌     | 4520/10000 [11:15:07<17:22:16, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9041273593902588, dino_loss: 0.7265625, depth_loss: 0.07930440455675125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0545456409454346, dino_loss: 0.70703125, depth_loss: 0.061016835272312164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4521/10000 [11:15:18<17:12:25, 11.31s/it]
                                                          
{'loss': 2.3281, 'grad_norm': 3.7279436588287354, 'learning_rate': 3.0968688765236643e-05, 'epoch': 0.04}

 45%|████▌     | 4521/10000 [11:15:18<17:12:25, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9880083799362183, dino_loss: 0.71875, depth_loss: 0.06827577948570251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5943921208381653, dino_loss: 0.63671875, depth_loss: 0.04241017997264862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4522/10000 [11:15:29<17:19:43, 11.39s/it]
                                                          
{'loss': 1.8932, 'grad_norm': 3.610611915588379, 'learning_rate': 3.096066016787195e-05, 'epoch': 0.04}

 45%|████▌     | 4522/10000 [11:15:29<17:19:43, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.933082103729248, dino_loss: 0.66796875, depth_loss: 0.04962144419550896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.862336277961731, dino_loss: 0.67578125, depth_loss: 0.051806412637233734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4523/10000 [11:15:42<17:50:43, 11.73s/it]
                                                          
{'loss': 2.4568, 'grad_norm': 2.8240807056427, 'learning_rate': 3.095263091865843e-05, 'epoch': 0.04}

 45%|████▌     | 4523/10000 [11:15:42<17:50:43, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6962734460830688, dino_loss: 0.6484375, depth_loss: 0.047679007053375244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8644919395446777, dino_loss: 0.71484375, depth_loss: 0.07669425010681152, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4524/10000 [11:15:53<17:49:05, 11.71s/it]
                                                          
{'loss': 2.0357, 'grad_norm': 3.4517974853515625, 'learning_rate': 3.094460101847414e-05, 'epoch': 0.04}

 45%|████▌     | 4524/10000 [11:15:53<17:49:05, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8729066848754883, dino_loss: 0.65625, depth_loss: 0.060194194316864014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9055623412132263, dino_loss: 0.671875, depth_loss: 0.06435566395521164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4525/10000 [11:16:05<17:42:34, 11.64s/it]
                                                          
{'loss': 2.4032, 'grad_norm': 2.917799234390259, 'learning_rate': 3.093657046819722e-05, 'epoch': 0.04}

 45%|████▌     | 4525/10000 [11:16:05<17:42:34, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8479499816894531, dino_loss: 0.71484375, depth_loss: 0.061641670763492584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8313606977462769, dino_loss: 0.6796875, depth_loss: 0.07694065570831299, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4526/10000 [11:16:16<17:23:00, 11.43s/it]
                                                          
{'loss': 2.0906, 'grad_norm': 4.24191951751709, 'learning_rate': 3.0928539268705875e-05, 'epoch': 0.04}

 45%|████▌     | 4526/10000 [11:16:16<17:23:00, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9340082406997681, dino_loss: 0.7578125, depth_loss: 0.050553806126117706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.9042974710464478, dino_loss: 0.69140625, depth_loss: 0.04372738301753998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4527/10000 [11:16:28<17:35:16, 11.57s/it]
                                                          
{'loss': 2.2969, 'grad_norm': 2.6999173164367676, 'learning_rate': 3.092050742087839e-05, 'epoch': 0.04}

 45%|████▌     | 4527/10000 [11:16:28<17:35:16, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6518946290016174, dino_loss: 0.58984375, depth_loss: 0.04680037498474121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7008723616600037, dino_loss: 0.62890625, depth_loss: 0.04721396788954735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4528/10000 [11:16:40<17:58:03, 11.82s/it]
                                                          
{'loss': 2.0587, 'grad_norm': 3.671786069869995, 'learning_rate': 3.091247492559312e-05, 'epoch': 0.04}

 45%|████▌     | 4528/10000 [11:16:40<17:58:03, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9929556846618652, dino_loss: 0.72265625, depth_loss: 0.05932316556572914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7305939793586731, dino_loss: 0.63671875, depth_loss: 0.05921303853392601, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4529/10000 [11:16:52<17:59:38, 11.84s/it]
                                                          
{'loss': 2.085, 'grad_norm': 3.27164626121521, 'learning_rate': 3.090444178372848e-05, 'epoch': 0.04}

 45%|████▌     | 4529/10000 [11:16:52<17:59:38, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9334800243377686, dino_loss: 0.65625, depth_loss: 0.05899536609649658, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9079353213310242, dino_loss: 0.7109375, depth_loss: 0.08550594002008438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4530/10000 [11:17:04<17:58:57, 11.84s/it]
                                                          
{'loss': 2.4671, 'grad_norm': 2.593067169189453, 'learning_rate': 3.0896407996162954e-05, 'epoch': 0.04}

 45%|████▌     | 4530/10000 [11:17:04<17:58:57, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8898398876190186, dino_loss: 0.73046875, depth_loss: 0.05761703848838806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9189085364341736, dino_loss: 0.70703125, depth_loss: 0.06285551935434341, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4531/10000 [11:17:15<17:48:00, 11.72s/it]
                                                          
{'loss': 2.4326, 'grad_norm': 3.188093900680542, 'learning_rate': 3.088837356377513e-05, 'epoch': 0.04}

 45%|████▌     | 4531/10000 [11:17:15<17:48:00, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0333468914031982, dino_loss: 0.6953125, depth_loss: 0.054014697670936584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0034606456756592, dino_loss: 0.71875, depth_loss: 0.07538646459579468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4532/10000 [11:17:27<17:48:18, 11.72s/it]
                                                          
{'loss': 2.5005, 'grad_norm': 3.372262954711914, 'learning_rate': 3.088033848744362e-05, 'epoch': 0.04}

 45%|████▌     | 4532/10000 [11:17:27<17:48:18, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9213775396347046, dino_loss: 0.671875, depth_loss: 0.05942285433411598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9039263129234314, dino_loss: 0.69140625, depth_loss: 0.05813312157988548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4533/10000 [11:17:38<17:42:06, 11.66s/it]
                                                          
{'loss': 2.4582, 'grad_norm': 3.4084770679473877, 'learning_rate': 3.087230276804713e-05, 'epoch': 0.04}

 45%|████▌     | 4533/10000 [11:17:38<17:42:06, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8630311489105225, dino_loss: 0.62109375, depth_loss: 0.05193247273564339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.819301426410675, dino_loss: 0.7109375, depth_loss: 0.06453459709882736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4534/10000 [11:17:50<17:43:10, 11.67s/it]
                                                          
{'loss': 2.0905, 'grad_norm': 6.937479019165039, 'learning_rate': 3.086426640646444e-05, 'epoch': 0.04}

 45%|████▌     | 4534/10000 [11:17:50<17:43:10, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8274816870689392, dino_loss: 0.6875, depth_loss: 0.06421563029289246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8455355763435364, dino_loss: 0.6796875, depth_loss: 0.07078172266483307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4535/10000 [11:18:01<17:31:09, 11.54s/it]
                                                          
{'loss': 1.7303, 'grad_norm': 4.982515335083008, 'learning_rate': 3.08562294035744e-05, 'epoch': 0.04}

 45%|████▌     | 4535/10000 [11:18:01<17:31:09, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.782951831817627, dino_loss: 0.68359375, depth_loss: 0.0688173845410347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7918074131011963, dino_loss: 0.6875, depth_loss: 0.05032619833946228, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4536/10000 [11:18:13<17:32:01, 11.55s/it]
                                                          
{'loss': 1.8803, 'grad_norm': 2.857154130935669, 'learning_rate': 3.084819176025591e-05, 'epoch': 0.04}

 45%|████▌     | 4536/10000 [11:18:13<17:32:01, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8448463082313538, dino_loss: 0.76953125, depth_loss: 0.06638406217098236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8362675309181213, dino_loss: 0.69921875, depth_loss: 0.06140774488449097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4537/10000 [11:18:26<18:13:18, 12.01s/it]
                                                          
{'loss': 2.7055, 'grad_norm': 3.6527657508850098, 'learning_rate': 3.0840153477387953e-05, 'epoch': 0.04}

 45%|████▌     | 4537/10000 [11:18:26<18:13:18, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9017463326454163, dino_loss: 0.7265625, depth_loss: 0.06512905657291412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.9444338083267212, dino_loss: 0.69140625, depth_loss: 0.07353398203849792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4538/10000 [11:18:38<18:04:57, 11.92s/it]
                                                          
{'loss': 2.3664, 'grad_norm': 2.455681324005127, 'learning_rate': 3.0832114555849614e-05, 'epoch': 0.04}

 45%|████▌     | 4538/10000 [11:18:38<18:04:57, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8487247228622437, dino_loss: 0.71484375, depth_loss: 0.05052821710705757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9395603537559509, dino_loss: 0.75390625, depth_loss: 0.07149620354175568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4539/10000 [11:18:50<18:08:10, 11.96s/it]
                                                          
{'loss': 2.4819, 'grad_norm': 4.747416973114014, 'learning_rate': 3.0824074996519975e-05, 'epoch': 0.04}

 45%|████▌     | 4539/10000 [11:18:50<18:08:10, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8017584085464478, dino_loss: 0.703125, depth_loss: 0.06994496285915375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0146976709365845, dino_loss: 0.7265625, depth_loss: 0.07034225761890411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4540/10000 [11:19:01<17:52:06, 11.78s/it]
                                                          
{'loss': 1.8566, 'grad_norm': 2.7658262252807617, 'learning_rate': 3.081603480027826e-05, 'epoch': 0.04}

 45%|████▌     | 4540/10000 [11:19:01<17:52:06, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7912908792495728, dino_loss: 0.69921875, depth_loss: 0.06645894050598145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.876054048538208, dino_loss: 0.7421875, depth_loss: 0.04907435178756714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4541/10000 [11:19:13<17:52:54, 11.79s/it]
                                                          
{'loss': 1.9136, 'grad_norm': 2.9926388263702393, 'learning_rate': 3.080799396800372e-05, 'epoch': 0.04}

 45%|████▌     | 4541/10000 [11:19:13<17:52:54, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8082033395767212, dino_loss: 0.64453125, depth_loss: 0.05643080174922943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7971911430358887, dino_loss: 0.68359375, depth_loss: 0.054467253386974335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4542/10000 [11:19:25<17:46:15, 11.72s/it]
                                                          
{'loss': 1.5302, 'grad_norm': 4.580524444580078, 'learning_rate': 3.0799952500575694e-05, 'epoch': 0.04}

 45%|████▌     | 4542/10000 [11:19:25<17:46:15, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8673582077026367, dino_loss: 0.640625, depth_loss: 0.04752662032842636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6918653249740601, dino_loss: 0.640625, depth_loss: 0.06578031182289124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4543/10000 [11:19:36<17:40:21, 11.66s/it]
                                                          
{'loss': 2.0837, 'grad_norm': 6.170639991760254, 'learning_rate': 3.079191039887358e-05, 'epoch': 0.04}

 45%|████▌     | 4543/10000 [11:19:36<17:40:21, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.066007375717163, dino_loss: 0.703125, depth_loss: 0.055018920451402664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8393372297286987, dino_loss: 0.6953125, depth_loss: 0.06489594280719757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4544/10000 [11:19:47<17:29:41, 11.54s/it]
                                                          
{'loss': 2.2115, 'grad_norm': 2.2412362098693848, 'learning_rate': 3.078386766377686e-05, 'epoch': 0.04}

 45%|████▌     | 4544/10000 [11:19:47<17:29:41, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9504001140594482, dino_loss: 0.73828125, depth_loss: 0.06734387576580048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9560699462890625, dino_loss: 0.703125, depth_loss: 0.06489567458629608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4545/10000 [11:19:58<17:12:39, 11.36s/it]
                                                          
{'loss': 2.4071, 'grad_norm': 2.326286792755127, 'learning_rate': 3.077582429616506e-05, 'epoch': 0.04}

 45%|████▌     | 4545/10000 [11:19:58<17:12:39, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8010257482528687, dino_loss: 0.65234375, depth_loss: 0.05929083004593849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8958401679992676, dino_loss: 0.70703125, depth_loss: 0.05415342375636101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4546/10000 [11:20:10<17:20:15, 11.44s/it]
                                                          
{'loss': 2.0242, 'grad_norm': 3.490487813949585, 'learning_rate': 3.0767780296917803e-05, 'epoch': 0.04}

 45%|████▌     | 4546/10000 [11:20:10<17:20:15, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8880893588066101, dino_loss: 0.69140625, depth_loss: 0.06017632782459259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8989537954330444, dino_loss: 0.6875, depth_loss: 0.06607319414615631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4547/10000 [11:20:21<17:20:44, 11.45s/it]
                                                          
{'loss': 2.074, 'grad_norm': 3.913335084915161, 'learning_rate': 3.075973566691477e-05, 'epoch': 0.04}

 45%|████▌     | 4547/10000 [11:20:21<17:20:44, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9914801120758057, dino_loss: 0.70703125, depth_loss: 0.0614263080060482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8117473125457764, dino_loss: 0.65625, depth_loss: 0.06737738847732544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4548/10000 [11:20:33<17:37:46, 11.64s/it]
                                                          
{'loss': 2.3105, 'grad_norm': 2.576481819152832, 'learning_rate': 3.07516904070357e-05, 'epoch': 0.04}

 45%|████▌     | 4548/10000 [11:20:33<17:37:46, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0248850584030151, dino_loss: 0.6796875, depth_loss: 0.05774741619825363, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9440187811851501, dino_loss: 0.7109375, depth_loss: 0.066530242562294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 45%|████▌     | 4549/10000 [11:20:45<17:39:59, 11.67s/it]
                                                          
{'loss': 2.4196, 'grad_norm': 4.732501029968262, 'learning_rate': 3.074364451816041e-05, 'epoch': 0.04}

 45%|████▌     | 4549/10000 [11:20:45<17:39:59, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6640558242797852, dino_loss: 0.68359375, depth_loss: 0.05924607068300247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8281868100166321, dino_loss: 0.609375, depth_loss: 0.03880840167403221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4550/10000 [11:20:57<17:34:24, 11.61s/it]
                                                          
{'loss': 1.6907, 'grad_norm': 2.35856556892395, 'learning_rate': 3.073559800116879e-05, 'epoch': 0.04}

 46%|████▌     | 4550/10000 [11:20:57<17:34:24, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9588457345962524, dino_loss: 0.70703125, depth_loss: 0.0641213208436966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8838765621185303, dino_loss: 0.671875, depth_loss: 0.05689739063382149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4551/10000 [11:21:08<17:36:52, 11.64s/it]
                                                          
{'loss': 2.4379, 'grad_norm': 6.630499839782715, 'learning_rate': 3.0727550856940804e-05, 'epoch': 0.04}

 46%|████▌     | 4551/10000 [11:21:08<17:36:52, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8015565276145935, dino_loss: 0.65625, depth_loss: 0.06234557181596756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7661325931549072, dino_loss: 0.65625, depth_loss: 0.04547949135303497, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4552/10000 [11:21:20<17:36:52, 11.64s/it]
                                                          
{'loss': 1.6236, 'grad_norm': 4.2560272216796875, 'learning_rate': 3.0719503086356464e-05, 'epoch': 0.04}

 46%|████▌     | 4552/10000 [11:21:20<17:36:52, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9148132801055908, dino_loss: 0.671875, depth_loss: 0.0626368373632431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9628161787986755, dino_loss: 0.734375, depth_loss: 0.08065229654312134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4553/10000 [11:21:31<17:25:43, 11.52s/it]
                                                          
{'loss': 1.8548, 'grad_norm': 3.768380880355835, 'learning_rate': 3.071145469029586e-05, 'epoch': 0.04}

 46%|████▌     | 4553/10000 [11:21:31<17:25:43, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8106634020805359, dino_loss: 0.69140625, depth_loss: 0.08133553713560104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9024333357810974, dino_loss: 0.703125, depth_loss: 0.06992118805646896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4554/10000 [11:21:43<17:31:05, 11.58s/it]
                                                          
{'loss': 2.4573, 'grad_norm': 3.5521621704101562, 'learning_rate': 3.070340566963917e-05, 'epoch': 0.04}

 46%|████▌     | 4554/10000 [11:21:43<17:31:05, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7346452474594116, dino_loss: 0.671875, depth_loss: 0.06060314178466797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9428609609603882, dino_loss: 0.65625, depth_loss: 0.06808240711688995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4555/10000 [11:21:55<17:38:11, 11.66s/it]
                                                          
{'loss': 2.3019, 'grad_norm': 1.7812074422836304, 'learning_rate': 3.06953560252666e-05, 'epoch': 0.04}

 46%|████▌     | 4555/10000 [11:21:55<17:38:11, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9789127111434937, dino_loss: 0.68359375, depth_loss: 0.0602787546813488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9450145363807678, dino_loss: 0.71875, depth_loss: 0.06760425865650177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4556/10000 [11:22:07<17:46:45, 11.76s/it]
                                                          
{'loss': 2.6382, 'grad_norm': 2.545050621032715, 'learning_rate': 3.068730575805846e-05, 'epoch': 0.04}

 46%|████▌     | 4556/10000 [11:22:07<17:46:45, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8869662284851074, dino_loss: 0.671875, depth_loss: 0.049067117273807526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6792181730270386, dino_loss: 0.62109375, depth_loss: 0.059673845767974854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4557/10000 [11:22:18<17:37:50, 11.66s/it]
                                                          
{'loss': 1.9604, 'grad_norm': 2.1962268352508545, 'learning_rate': 3.067925486889512e-05, 'epoch': 0.04}

 46%|████▌     | 4557/10000 [11:22:18<17:37:50, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8844051361083984, dino_loss: 0.6953125, depth_loss: 0.049662087112665176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8520437479019165, dino_loss: 0.69140625, depth_loss: 0.056435003876686096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4558/10000 [11:22:30<17:37:24, 11.66s/it]
                                                          
{'loss': 2.0918, 'grad_norm': 1.826528549194336, 'learning_rate': 3.0671203358657e-05, 'epoch': 0.04}

 46%|████▌     | 4558/10000 [11:22:30<17:37:24, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9672048091888428, dino_loss: 0.67578125, depth_loss: 0.06452089548110962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8076254725456238, dino_loss: 0.703125, depth_loss: 0.06773775815963745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4559/10000 [11:22:41<17:24:27, 11.52s/it]
                                                          
{'loss': 2.2394, 'grad_norm': 2.184936761856079, 'learning_rate': 3.0663151228224605e-05, 'epoch': 0.04}

 46%|████▌     | 4559/10000 [11:22:41<17:24:27, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9877800941467285, dino_loss: 0.671875, depth_loss: 0.05554055795073509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7995805740356445, dino_loss: 0.69921875, depth_loss: 0.07156805694103241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4560/10000 [11:22:53<17:24:24, 11.52s/it]
                                                          
{'loss': 1.7964, 'grad_norm': 4.263561725616455, 'learning_rate': 3.065509847847851e-05, 'epoch': 0.04}

 46%|████▌     | 4560/10000 [11:22:53<17:24:24, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7881884574890137, dino_loss: 0.7265625, depth_loss: 0.07171033322811127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8111021518707275, dino_loss: 0.703125, depth_loss: 0.06173400953412056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4561/10000 [11:23:04<17:32:18, 11.61s/it]
                                                          
{'loss': 2.2654, 'grad_norm': 4.149204254150391, 'learning_rate': 3.0647045110299346e-05, 'epoch': 0.04}

 46%|████▌     | 4561/10000 [11:23:04<17:32:18, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7604202032089233, dino_loss: 0.65625, depth_loss: 0.07134392112493515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8962885737419128, dino_loss: 0.734375, depth_loss: 0.056242868304252625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4562/10000 [11:23:16<17:39:58, 11.70s/it]
                                                          
{'loss': 2.4051, 'grad_norm': 2.2871975898742676, 'learning_rate': 3.063899112456782e-05, 'epoch': 0.04}

 46%|████▌     | 4562/10000 [11:23:16<17:39:58, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8682363033294678, dino_loss: 0.703125, depth_loss: 0.08094871044158936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8213796019554138, dino_loss: 0.6875, depth_loss: 0.06187453866004944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4563/10000 [11:23:29<18:09:16, 12.02s/it]
                                                          
{'loss': 2.3193, 'grad_norm': 2.996804714202881, 'learning_rate': 3.0630936522164706e-05, 'epoch': 0.04}

 46%|████▌     | 4563/10000 [11:23:29<18:09:16, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.960540771484375, dino_loss: 0.72265625, depth_loss: 0.06437698751688004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9113059639930725, dino_loss: 0.69921875, depth_loss: 0.05511276796460152, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4564/10000 [11:23:41<17:58:35, 11.90s/it]
                                                          
{'loss': 2.2409, 'grad_norm': 4.705615997314453, 'learning_rate': 3.0622881303970834e-05, 'epoch': 0.04}

 46%|████▌     | 4564/10000 [11:23:41<17:58:35, 11.90s/it]the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.8445358872413635, dino_loss: 0.671875, depth_loss: 0.043321844190359116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8275541663169861, dino_loss: 0.6328125, depth_loss: 0.05100978910923004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4565/10000 [11:23:52<17:45:49, 11.77s/it]
                                                          
{'loss': 2.1177, 'grad_norm': 3.140028953552246, 'learning_rate': 3.061482547086712e-05, 'epoch': 0.04}

 46%|████▌     | 4565/10000 [11:23:52<17:45:49, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8823620080947876, dino_loss: 0.6953125, depth_loss: 0.06432069092988968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8219612836837769, dino_loss: 0.63671875, depth_loss: 0.08433160185813904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4566/10000 [11:24:04<17:51:25, 11.83s/it]
                                                          
{'loss': 2.3242, 'grad_norm': 2.8806705474853516, 'learning_rate': 3.0606769023734536e-05, 'epoch': 0.04}

 46%|████▌     | 4566/10000 [11:24:04<17:51:25, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6862558126449585, dino_loss: 0.6953125, depth_loss: 0.06031882017850876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7997727394104004, dino_loss: 0.6875, depth_loss: 0.04724681377410889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4567/10000 [11:24:16<18:03:58, 11.97s/it]
                                                          
{'loss': 1.8961, 'grad_norm': 3.4330923557281494, 'learning_rate': 3.0598711963454115e-05, 'epoch': 0.04}

 46%|████▌     | 4567/10000 [11:24:16<18:03:58, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.9518068432807922, dino_loss: 0.6796875, depth_loss: 0.043493952602148056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6176310777664185, dino_loss: 0.609375, depth_loss: 0.05704980343580246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4568/10000 [11:24:28<18:01:41, 11.95s/it]
                                                          
{'loss': 1.6409, 'grad_norm': 4.710167407989502, 'learning_rate': 3.059065429090697e-05, 'epoch': 0.04}

 46%|████▌     | 4568/10000 [11:24:28<18:01:41, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8497345447540283, dino_loss: 0.65234375, depth_loss: 0.06608831882476807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8819172978401184, dino_loss: 0.68359375, depth_loss: 0.05880025774240494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4569/10000 [11:24:41<18:06:55, 12.01s/it]
                                                          
{'loss': 2.2767, 'grad_norm': 2.800412654876709, 'learning_rate': 3.058259600697428e-05, 'epoch': 0.04}

 46%|████▌     | 4569/10000 [11:24:41<18:06:55, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8611144423484802, dino_loss: 0.671875, depth_loss: 0.0661247968673706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7798900604248047, dino_loss: 0.65234375, depth_loss: 0.07415080070495605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4570/10000 [11:24:52<17:39:58, 11.71s/it]
                                                          
{'loss': 1.9372, 'grad_norm': 3.468817949295044, 'learning_rate': 3.05745371125373e-05, 'epoch': 0.04}

 46%|████▌     | 4570/10000 [11:24:52<17:39:58, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.892268717288971, dino_loss: 0.671875, depth_loss: 0.06347706913948059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8835597038269043, dino_loss: 0.70703125, depth_loss: 0.08714797347784042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4571/10000 [11:25:03<17:32:32, 11.63s/it]
                                                          
{'loss': 2.4331, 'grad_norm': 3.7568464279174805, 'learning_rate': 3.0566477608477295e-05, 'epoch': 0.04}

 46%|████▌     | 4571/10000 [11:25:03<17:32:32, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7263754606246948, dino_loss: 0.68359375, depth_loss: 0.05798143893480301, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7996430993080139, dino_loss: 0.63671875, depth_loss: 0.04960145428776741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4572/10000 [11:25:15<17:40:24, 11.72s/it]
                                                          
{'loss': 2.0395, 'grad_norm': 2.5355169773101807, 'learning_rate': 3.055841749567569e-05, 'epoch': 0.04}

 46%|████▌     | 4572/10000 [11:25:15<17:40:24, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7560387849807739, dino_loss: 0.6875, depth_loss: 0.07207421213388443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8114986419677734, dino_loss: 0.66796875, depth_loss: 0.06218796595931053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4573/10000 [11:25:27<17:46:31, 11.79s/it]
                                                          
{'loss': 2.3574, 'grad_norm': 5.615525722503662, 'learning_rate': 3.0550356775013894e-05, 'epoch': 0.04}

 46%|████▌     | 4573/10000 [11:25:27<17:46:31, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7777503728866577, dino_loss: 0.6875, depth_loss: 0.06358394026756287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0451278686523438, dino_loss: 0.6953125, depth_loss: 0.07886192202568054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4574/10000 [11:25:39<17:49:26, 11.83s/it]
                                                          
{'loss': 2.5205, 'grad_norm': 2.182905435562134, 'learning_rate': 3.054229544737343e-05, 'epoch': 0.04}

 46%|████▌     | 4574/10000 [11:25:39<17:49:26, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6600792407989502, dino_loss: 0.62109375, depth_loss: 0.04822520911693573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8548356890678406, dino_loss: 0.65625, depth_loss: 0.05865424871444702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4575/10000 [11:25:50<17:36:53, 11.69s/it]
                                                          
{'loss': 1.7919, 'grad_norm': 3.97705078125, 'learning_rate': 3.053423351363586e-05, 'epoch': 0.04}

 46%|████▌     | 4575/10000 [11:25:50<17:36:53, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.005043625831604, dino_loss: 0.68359375, depth_loss: 0.056083060801029205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8788465261459351, dino_loss: 0.72265625, depth_loss: 0.055896833539009094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4576/10000 [11:26:02<17:47:43, 11.81s/it]
                                                          
{'loss': 2.2922, 'grad_norm': 3.336205244064331, 'learning_rate': 3.052617097468284e-05, 'epoch': 0.04}

 46%|████▌     | 4576/10000 [11:26:02<17:47:43, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7932824492454529, dino_loss: 0.6171875, depth_loss: 0.059540409594774246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5799704790115356, dino_loss: 0.58984375, depth_loss: 0.05215929448604584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4577/10000 [11:26:14<17:46:50, 11.80s/it]
                                                          
{'loss': 1.9826, 'grad_norm': 2.891301393508911, 'learning_rate': 3.051810783139607e-05, 'epoch': 0.04}

 46%|████▌     | 4577/10000 [11:26:14<17:46:50, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.955589771270752, dino_loss: 0.71484375, depth_loss: 0.060920264571905136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.83406001329422, dino_loss: 0.65625, depth_loss: 0.0598607063293457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4578/10000 [11:26:25<17:37:35, 11.70s/it]
                                                          
{'loss': 2.3033, 'grad_norm': 2.749983549118042, 'learning_rate': 3.051004408465733e-05, 'epoch': 0.04}

 46%|████▌     | 4578/10000 [11:26:25<17:37:35, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8118652701377869, dino_loss: 0.6875, depth_loss: 0.051658205687999725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.977007269859314, dino_loss: 0.70703125, depth_loss: 0.05287252739071846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4579/10000 [11:26:38<17:53:46, 11.88s/it]
                                                          
{'loss': 2.4502, 'grad_norm': 4.606414318084717, 'learning_rate': 3.050197973534845e-05, 'epoch': 0.04}

 46%|████▌     | 4579/10000 [11:26:38<17:53:46, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.861423134803772, dino_loss: 0.734375, depth_loss: 0.05621001124382019, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8017436861991882, dino_loss: 0.65234375, depth_loss: 0.07908470928668976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4580/10000 [11:26:49<17:44:50, 11.79s/it]
                                                          
{'loss': 2.2239, 'grad_norm': 3.7500758171081543, 'learning_rate': 3.0493914784351328e-05, 'epoch': 0.04}

 46%|████▌     | 4580/10000 [11:26:49<17:44:50, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0087459087371826, dino_loss: 0.703125, depth_loss: 0.06771790236234665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0928657054901123, dino_loss: 0.65625, depth_loss: 0.04901718348264694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4581/10000 [11:27:01<17:52:01, 11.87s/it]
                                                          
{'loss': 2.5089, 'grad_norm': 4.545022010803223, 'learning_rate': 3.048584923254796e-05, 'epoch': 0.04}

 46%|████▌     | 4581/10000 [11:27:01<17:52:01, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.7580750584602356, dino_loss: 0.7578125, depth_loss: 0.05338285118341446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9261366724967957, dino_loss: 0.6796875, depth_loss: 0.06058105081319809, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4582/10000 [11:27:14<18:08:08, 12.05s/it]
                                                          
{'loss': 2.6419, 'grad_norm': 4.400893211364746, 'learning_rate': 3.0477783080820362e-05, 'epoch': 0.04}

 46%|████▌     | 4582/10000 [11:27:14<18:08:08, 12.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8781294822692871, dino_loss: 0.734375, depth_loss: 0.06930181384086609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6594825983047485, dino_loss: 0.6484375, depth_loss: 0.058795586228370667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4583/10000 [11:27:25<17:55:35, 11.91s/it]
                                                          
{'loss': 1.8725, 'grad_norm': 4.0164794921875, 'learning_rate': 3.046971633005064e-05, 'epoch': 0.04}

 46%|████▌     | 4583/10000 [11:27:25<17:55:35, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.869144082069397, dino_loss: 0.6953125, depth_loss: 0.06833089143037796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9999899864196777, dino_loss: 0.71484375, depth_loss: 0.0750167965888977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4584/10000 [11:27:37<17:31:16, 11.65s/it]
                                                          
{'loss': 2.2622, 'grad_norm': 2.5265371799468994, 'learning_rate': 3.046164898112096e-05, 'epoch': 0.04}

 46%|████▌     | 4584/10000 [11:27:37<17:31:16, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7718165516853333, dino_loss: 0.66796875, depth_loss: 0.05592171475291252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9200599193572998, dino_loss: 0.66796875, depth_loss: 0.05497441440820694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4585/10000 [11:27:48<17:24:56, 11.58s/it]
                                                          
{'loss': 1.8848, 'grad_norm': 3.893747568130493, 'learning_rate': 3.045358103491357e-05, 'epoch': 0.04}

 46%|████▌     | 4585/10000 [11:27:48<17:24:56, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7500339150428772, dino_loss: 0.67578125, depth_loss: 0.06822285801172256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9313178062438965, dino_loss: 0.6640625, depth_loss: 0.05353814736008644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4586/10000 [11:28:00<17:30:01, 11.64s/it]
                                                          
{'loss': 2.0346, 'grad_norm': 4.0674309730529785, 'learning_rate': 3.0445512492310753e-05, 'epoch': 0.04}

 46%|████▌     | 4586/10000 [11:28:00<17:30:01, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8086666464805603, dino_loss: 0.73828125, depth_loss: 0.06285321712493896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8173222541809082, dino_loss: 0.6484375, depth_loss: 0.050810132175683975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4587/10000 [11:28:11<17:30:26, 11.64s/it]
                                                          
{'loss': 2.124, 'grad_norm': 2.7088096141815186, 'learning_rate': 3.0437443354194872e-05, 'epoch': 0.04}

 46%|████▌     | 4587/10000 [11:28:11<17:30:26, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.839673638343811, dino_loss: 0.7109375, depth_loss: 0.06799547374248505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9566167593002319, dino_loss: 0.73046875, depth_loss: 0.05156885087490082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4588/10000 [11:28:23<17:33:19, 11.68s/it]
                                                          
{'loss': 2.0165, 'grad_norm': 2.813157081604004, 'learning_rate': 3.0429373621448365e-05, 'epoch': 0.04}

 46%|████▌     | 4588/10000 [11:28:23<17:33:19, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.880670964717865, dino_loss: 0.6796875, depth_loss: 0.06015081703662872, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7745740413665771, dino_loss: 0.71484375, depth_loss: 0.06468364596366882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4589/10000 [11:28:35<17:29:33, 11.64s/it]
                                                          
{'loss': 1.8839, 'grad_norm': 4.327122211456299, 'learning_rate': 3.042130329495372e-05, 'epoch': 0.04}

 46%|████▌     | 4589/10000 [11:28:35<17:29:33, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9686271548271179, dino_loss: 0.6328125, depth_loss: 0.05846596509218216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0586435794830322, dino_loss: 0.69140625, depth_loss: 0.06018560007214546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4590/10000 [11:28:47<17:46:38, 11.83s/it]
                                                          
{'loss': 2.1672, 'grad_norm': 3.794135808944702, 'learning_rate': 3.0413232375593497e-05, 'epoch': 0.04}

 46%|████▌     | 4590/10000 [11:28:47<17:46:38, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7382341623306274, dino_loss: 0.6484375, depth_loss: 0.06521441787481308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9155620336532593, dino_loss: 0.6875, depth_loss: 0.08091405779123306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4591/10000 [11:28:58<17:32:20, 11.67s/it]
                                                          
{'loss': 1.8898, 'grad_norm': 2.408588171005249, 'learning_rate': 3.0405160864250314e-05, 'epoch': 0.04}

 46%|████▌     | 4591/10000 [11:28:58<17:32:20, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9057173728942871, dino_loss: 0.68359375, depth_loss: 0.06391380727291107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8628679513931274, dino_loss: 0.6796875, depth_loss: 0.04722988232970238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4592/10000 [11:29:10<17:40:44, 11.77s/it]
                                                          
{'loss': 2.5755, 'grad_norm': 2.908252239227295, 'learning_rate': 3.039708876180688e-05, 'epoch': 0.04}

 46%|████▌     | 4592/10000 [11:29:10<17:40:44, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8997503519058228, dino_loss: 0.66796875, depth_loss: 0.05897611379623413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9324162006378174, dino_loss: 0.68359375, depth_loss: 0.07343492656946182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4593/10000 [11:29:22<17:34:18, 11.70s/it]
                                                          
{'loss': 2.3031, 'grad_norm': 2.4161999225616455, 'learning_rate': 3.038901606914592e-05, 'epoch': 0.04}

 46%|████▌     | 4593/10000 [11:29:22<17:34:18, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7990596294403076, dino_loss: 0.69921875, depth_loss: 0.07010775804519653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8270800113677979, dino_loss: 0.69921875, depth_loss: 0.06686972826719284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4594/10000 [11:29:34<17:52:16, 11.90s/it]
                                                          
{'loss': 2.401, 'grad_norm': 4.134853839874268, 'learning_rate': 3.0380942787150273e-05, 'epoch': 0.04}

 46%|████▌     | 4594/10000 [11:29:34<17:52:16, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8225891590118408, dino_loss: 0.68359375, depth_loss: 0.06688957661390305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8191429972648621, dino_loss: 0.69921875, depth_loss: 0.0598687082529068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4595/10000 [11:29:46<17:39:05, 11.76s/it]
                                                          
{'loss': 1.9943, 'grad_norm': 4.283020496368408, 'learning_rate': 3.037286891670281e-05, 'epoch': 0.04}

 46%|████▌     | 4595/10000 [11:29:46<17:39:05, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8656574487686157, dino_loss: 0.74609375, depth_loss: 0.06118879094719887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6443886160850525, dino_loss: 0.65625, depth_loss: 0.050467729568481445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4596/10000 [11:29:57<17:22:47, 11.58s/it]
                                                          
{'loss': 1.7346, 'grad_norm': 3.8625786304473877, 'learning_rate': 3.036479445868648e-05, 'epoch': 0.04}

 46%|████▌     | 4596/10000 [11:29:57<17:22:47, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9971229434013367, dino_loss: 0.69140625, depth_loss: 0.06263485550880432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1153355836868286, dino_loss: 0.71875, depth_loss: 0.05917070433497429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4597/10000 [11:30:08<17:18:12, 11.53s/it]
                                                          
{'loss': 2.2845, 'grad_norm': 2.6459827423095703, 'learning_rate': 3.0356719413984296e-05, 'epoch': 0.04}

 46%|████▌     | 4597/10000 [11:30:08<17:18:12, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8594828248023987, dino_loss: 0.68359375, depth_loss: 0.05982069671154022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7509692907333374, dino_loss: 0.6875, depth_loss: 0.05823652073740959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4598/10000 [11:30:19<17:07:41, 11.41s/it]
                                                          
{'loss': 1.9255, 'grad_norm': 2.1875088214874268, 'learning_rate': 3.034864378347933e-05, 'epoch': 0.04}

 46%|████▌     | 4598/10000 [11:30:19<17:07:41, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0593898296356201, dino_loss: 0.703125, depth_loss: 0.05627906322479248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9629777669906616, dino_loss: 0.703125, depth_loss: 0.0778399333357811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4599/10000 [11:30:30<16:59:31, 11.33s/it]
                                                          
{'loss': 2.0877, 'grad_norm': 3.621267795562744, 'learning_rate': 3.0340567568054716e-05, 'epoch': 0.04}

 46%|████▌     | 4599/10000 [11:30:30<16:59:31, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7340955138206482, dino_loss: 0.7265625, depth_loss: 0.06694840639829636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8427913188934326, dino_loss: 0.6875, depth_loss: 0.057690512388944626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4600/10000 [11:30:43<17:35:14, 11.72s/it]
                                                          
{'loss': 2.672, 'grad_norm': 3.2208244800567627, 'learning_rate': 3.0332490768593675e-05, 'epoch': 0.04}

 46%|████▌     | 4600/10000 [11:30:43<17:35:14, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8759915828704834, dino_loss: 0.69921875, depth_loss: 0.06270130723714828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7931538820266724, dino_loss: 0.6484375, depth_loss: 0.06320488452911377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4601/10000 [11:30:54<17:22:57, 11.59s/it]
                                                          
{'loss': 2.0539, 'grad_norm': 2.3920512199401855, 'learning_rate': 3.032441338597945e-05, 'epoch': 0.04}

 46%|████▌     | 4601/10000 [11:30:54<17:22:57, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8198676109313965, dino_loss: 0.68359375, depth_loss: 0.06645334511995316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8334962725639343, dino_loss: 0.73046875, depth_loss: 0.07552187889814377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4602/10000 [11:31:06<17:29:42, 11.67s/it]
                                                          
{'loss': 2.0519, 'grad_norm': 3.507861614227295, 'learning_rate': 3.0316335421095388e-05, 'epoch': 0.04}

 46%|████▌     | 4602/10000 [11:31:06<17:29:42, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8073751926422119, dino_loss: 0.69921875, depth_loss: 0.07164720445871353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8202093839645386, dino_loss: 0.71875, depth_loss: 0.04931110888719559, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4603/10000 [11:31:18<17:38:00, 11.76s/it]
                                                          
{'loss': 2.1616, 'grad_norm': 6.4414167404174805, 'learning_rate': 3.030825687482487e-05, 'epoch': 0.04}

 46%|████▌     | 4603/10000 [11:31:18<17:38:00, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8472276329994202, dino_loss: 0.76171875, depth_loss: 0.08271407335996628, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9160076379776001, dino_loss: 0.72265625, depth_loss: 0.05182362720370293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4604/10000 [11:31:29<17:16:55, 11.53s/it]
                                                          
{'loss': 2.1578, 'grad_norm': 1.9339114427566528, 'learning_rate': 3.0300177748051373e-05, 'epoch': 0.04}

 46%|████▌     | 4604/10000 [11:31:29<17:16:55, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.849855899810791, dino_loss: 0.66015625, depth_loss: 0.06901202350854874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9274546504020691, dino_loss: 0.7109375, depth_loss: 0.08154469728469849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4605/10000 [11:31:41<17:17:14, 11.54s/it]
                                                          
{'loss': 1.9082, 'grad_norm': 4.051889419555664, 'learning_rate': 3.0292098041658397e-05, 'epoch': 0.04}

 46%|████▌     | 4605/10000 [11:31:41<17:17:14, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8330398201942444, dino_loss: 0.6875, depth_loss: 0.04381869360804558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9887897968292236, dino_loss: 0.703125, depth_loss: 0.07051074504852295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4606/10000 [11:31:53<17:37:32, 11.76s/it]
                                                          
{'loss': 2.26, 'grad_norm': 4.854938983917236, 'learning_rate': 3.0284017756529537e-05, 'epoch': 0.04}

 46%|████▌     | 4606/10000 [11:31:53<17:37:32, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8264668583869934, dino_loss: 0.66015625, depth_loss: 0.048339806497097015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.854020893573761, dino_loss: 0.7109375, depth_loss: 0.06131140887737274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4607/10000 [11:32:04<17:22:35, 11.60s/it]
                                                          
{'loss': 2.0914, 'grad_norm': 2.9465341567993164, 'learning_rate': 3.027593689354844e-05, 'epoch': 0.04}

 46%|████▌     | 4607/10000 [11:32:04<17:22:35, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.901669979095459, dino_loss: 0.6875, depth_loss: 0.07254476100206375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8994430303573608, dino_loss: 0.73046875, depth_loss: 0.0696956217288971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4608/10000 [11:32:16<17:27:28, 11.66s/it]
                                                          
{'loss': 2.3339, 'grad_norm': 3.629230260848999, 'learning_rate': 3.0267855453598814e-05, 'epoch': 0.04}

 46%|████▌     | 4608/10000 [11:32:16<17:27:28, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7274129390716553, dino_loss: 0.6796875, depth_loss: 0.058931052684783936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7870564460754395, dino_loss: 0.69921875, depth_loss: 0.0640801340341568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4609/10000 [11:32:29<17:55:31, 11.97s/it]
                                                          
{'loss': 2.5309, 'grad_norm': 2.8365042209625244, 'learning_rate': 3.0259773437564438e-05, 'epoch': 0.04}

 46%|████▌     | 4609/10000 [11:32:29<17:55:31, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9055635929107666, dino_loss: 0.63671875, depth_loss: 0.0441916286945343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8790567517280579, dino_loss: 0.69140625, depth_loss: 0.06632650643587112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4610/10000 [11:32:41<17:50:28, 11.92s/it]
                                                          
{'loss': 1.9393, 'grad_norm': 2.9410572052001953, 'learning_rate': 3.025169084632915e-05, 'epoch': 0.04}

 46%|████▌     | 4610/10000 [11:32:41<17:50:28, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9706114530563354, dino_loss: 0.73046875, depth_loss: 0.0716097503900528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8930481672286987, dino_loss: 0.67578125, depth_loss: 0.058901697397232056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4611/10000 [11:32:52<17:29:22, 11.68s/it]
                                                          
{'loss': 2.1085, 'grad_norm': 2.284728765487671, 'learning_rate': 3.024360768077684e-05, 'epoch': 0.04}

 46%|████▌     | 4611/10000 [11:32:52<17:29:22, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8388640284538269, dino_loss: 0.68359375, depth_loss: 0.07267558574676514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8162095546722412, dino_loss: 0.7265625, depth_loss: 0.06901706755161285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4612/10000 [11:33:03<17:24:05, 11.63s/it]
                                                          
{'loss': 2.159, 'grad_norm': 4.251804828643799, 'learning_rate': 3.0235523941791484e-05, 'epoch': 0.04}

 46%|████▌     | 4612/10000 [11:33:03<17:24:05, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9174663424491882, dino_loss: 0.6953125, depth_loss: 0.07587410509586334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.955803632736206, dino_loss: 0.70703125, depth_loss: 0.048183828592300415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4613/10000 [11:33:14<17:05:23, 11.42s/it]
                                                          
{'loss': 1.7102, 'grad_norm': 4.349142551422119, 'learning_rate': 3.02274396302571e-05, 'epoch': 0.04}

 46%|████▌     | 4613/10000 [11:33:14<17:05:23, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8836778998374939, dino_loss: 0.6953125, depth_loss: 0.08489364385604858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8277239799499512, dino_loss: 0.66015625, depth_loss: 0.061684273183345795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4614/10000 [11:33:26<17:16:04, 11.54s/it]
                                                          
{'loss': 2.3244, 'grad_norm': 3.06392502784729, 'learning_rate': 3.0219354747057772e-05, 'epoch': 0.04}

 46%|████▌     | 4614/10000 [11:33:26<17:16:04, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9001045227050781, dino_loss: 0.68359375, depth_loss: 0.05336691439151764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8030670285224915, dino_loss: 0.73046875, depth_loss: 0.06070835143327713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4615/10000 [11:33:38<17:21:59, 11.61s/it]
                                                          
{'loss': 2.4491, 'grad_norm': 2.1754441261291504, 'learning_rate': 3.021126929307766e-05, 'epoch': 0.04}

 46%|████▌     | 4615/10000 [11:33:38<17:21:59, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8517857193946838, dino_loss: 0.7734375, depth_loss: 0.06786777079105377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2053629159927368, dino_loss: 0.69140625, depth_loss: 0.04718727245926857, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4616/10000 [11:33:50<17:30:40, 11.71s/it]
                                                          
{'loss': 2.1575, 'grad_norm': 3.444899559020996, 'learning_rate': 3.0203183269200975e-05, 'epoch': 0.04}

 46%|████▌     | 4616/10000 [11:33:50<17:30:40, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.870656430721283, dino_loss: 0.671875, depth_loss: 0.07483161985874176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9198055267333984, dino_loss: 0.71875, depth_loss: 0.053631577640771866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4617/10000 [11:34:01<17:27:26, 11.68s/it]
                                                          
{'loss': 2.3288, 'grad_norm': 9.027824401855469, 'learning_rate': 3.019509667631199e-05, 'epoch': 0.04}

 46%|████▌     | 4617/10000 [11:34:01<17:27:26, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7607239484786987, dino_loss: 0.7109375, depth_loss: 0.07405652105808258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9150822162628174, dino_loss: 0.7265625, depth_loss: 0.0687532052397728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4618/10000 [11:34:13<17:24:21, 11.64s/it]
                                                          
{'loss': 2.2808, 'grad_norm': 3.2155821323394775, 'learning_rate': 3.018700951529504e-05, 'epoch': 0.04}

 46%|████▌     | 4618/10000 [11:34:13<17:24:21, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9048035144805908, dino_loss: 0.7265625, depth_loss: 0.0652475655078888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9055959582328796, dino_loss: 0.71875, depth_loss: 0.056116461753845215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4619/10000 [11:34:24<17:24:18, 11.64s/it]
                                                          
{'loss': 2.2705, 'grad_norm': 3.502128839492798, 'learning_rate': 3.017892178703453e-05, 'epoch': 0.04}

 46%|████▌     | 4619/10000 [11:34:24<17:24:18, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7314854860305786, dino_loss: 0.66015625, depth_loss: 0.0669301450252533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 5
seg_loss: 0.6412245631217957, dino_loss: 0.6171875, depth_loss: 0.04831366613507271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4620/10000 [11:34:36<17:30:34, 11.72s/it]
                                                          
{'loss': 1.6029, 'grad_norm': 1.7096984386444092, 'learning_rate': 3.017083349241492e-05, 'epoch': 0.04}

 46%|████▌     | 4620/10000 [11:34:36<17:30:34, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9753468036651611, dino_loss: 0.703125, depth_loss: 0.07303964346647263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8927600979804993, dino_loss: 0.703125, depth_loss: 0.06364992260932922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4621/10000 [11:34:48<17:42:41, 11.85s/it]
                                                          
{'loss': 2.4646, 'grad_norm': 2.8882076740264893, 'learning_rate': 3.016274463232074e-05, 'epoch': 0.04}

 46%|████▌     | 4621/10000 [11:34:48<17:42:41, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9320754408836365, dino_loss: 0.73046875, depth_loss: 0.05610717460513115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8719532489776611, dino_loss: 0.68359375, depth_loss: 0.05552953481674194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4622/10000 [11:35:00<17:34:32, 11.77s/it]
                                                          
{'loss': 2.0041, 'grad_norm': 5.397252559661865, 'learning_rate': 3.0154655207636556e-05, 'epoch': 0.04}

 46%|████▌     | 4622/10000 [11:35:00<17:34:32, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0195409059524536, dino_loss: 0.6953125, depth_loss: 0.057524219155311584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8078579902648926, dino_loss: 0.734375, depth_loss: 0.05426708981394768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4623/10000 [11:35:12<17:38:30, 11.81s/it]
                                                          
{'loss': 2.5927, 'grad_norm': 2.732542037963867, 'learning_rate': 3.0146565219247036e-05, 'epoch': 0.04}

 46%|████▌     | 4623/10000 [11:35:12<17:38:30, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0427273511886597, dino_loss: 0.68359375, depth_loss: 0.05299311503767967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8335181474685669, dino_loss: 0.734375, depth_loss: 0.07570764422416687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▌     | 4624/10000 [11:35:23<17:25:47, 11.67s/it]
                                                          
{'loss': 2.072, 'grad_norm': 2.999408006668091, 'learning_rate': 3.0138474668036883e-05, 'epoch': 0.04}

 46%|████▌     | 4624/10000 [11:35:23<17:25:47, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.902202308177948, dino_loss: 0.6875, depth_loss: 0.08416540920734406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.741191565990448, dino_loss: 0.63671875, depth_loss: 0.06288371235132217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4625/10000 [11:35:35<17:22:37, 11.64s/it]
                                                          
{'loss': 1.9367, 'grad_norm': 2.824723958969116, 'learning_rate': 3.0130383554890856e-05, 'epoch': 0.04}

 46%|████▋     | 4625/10000 [11:35:35<17:22:37, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8857316374778748, dino_loss: 0.59765625, depth_loss: 0.050702378153800964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8701822757720947, dino_loss: 0.72265625, depth_loss: 0.08147865533828735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4626/10000 [11:35:47<17:26:29, 11.68s/it]
                                                          
{'loss': 1.9856, 'grad_norm': 3.761340379714966, 'learning_rate': 3.012229188069381e-05, 'epoch': 0.04}

 46%|████▋     | 4626/10000 [11:35:47<17:26:29, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7213376760482788, dino_loss: 0.63671875, depth_loss: 0.05504593998193741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.8777319192886353, dino_loss: 0.640625, depth_loss: 0.07408499717712402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4627/10000 [11:35:58<17:28:19, 11.71s/it]
                                                          
{'loss': 2.0315, 'grad_norm': 3.7261483669281006, 'learning_rate': 3.011419964633062e-05, 'epoch': 0.04}

 46%|████▋     | 4627/10000 [11:35:58<17:28:19, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8497660160064697, dino_loss: 0.69140625, depth_loss: 0.05775706097483635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8703524470329285, dino_loss: 0.7265625, depth_loss: 0.049525775015354156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4628/10000 [11:36:09<17:08:41, 11.49s/it]
                                                          
{'loss': 1.9268, 'grad_norm': 4.15814208984375, 'learning_rate': 3.0106106852686238e-05, 'epoch': 0.04}

 46%|████▋     | 4628/10000 [11:36:09<17:08:41, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7162168025970459, dino_loss: 0.6953125, depth_loss: 0.0690610259771347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.792497456073761, dino_loss: 0.71875, depth_loss: 0.06797660887241364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4629/10000 [11:36:21<17:23:50, 11.66s/it]
                                                          
{'loss': 2.0448, 'grad_norm': 2.3040733337402344, 'learning_rate': 3.00980135006457e-05, 'epoch': 0.04}

 46%|████▋     | 4629/10000 [11:36:21<17:23:50, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9610178470611572, dino_loss: 0.6875, depth_loss: 0.060918815433979034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0943412780761719, dino_loss: 0.70703125, depth_loss: 0.06152154505252838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4630/10000 [11:36:33<17:19:02, 11.61s/it]
                                                          
{'loss': 2.437, 'grad_norm': 4.512973308563232, 'learning_rate': 3.008991959109406e-05, 'epoch': 0.04}

 46%|████▋     | 4630/10000 [11:36:33<17:19:02, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7018890976905823, dino_loss: 0.69921875, depth_loss: 0.05660412833094597, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7161937355995178, dino_loss: 0.640625, depth_loss: 0.04446380212903023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4631/10000 [11:36:45<17:20:41, 11.63s/it]
                                                          
{'loss': 1.6863, 'grad_norm': 3.0546152591705322, 'learning_rate': 3.0081825124916474e-05, 'epoch': 0.04}

 46%|████▋     | 4631/10000 [11:36:45<17:20:41, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7920708656311035, dino_loss: 0.7265625, depth_loss: 0.05930453538894653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8727825880050659, dino_loss: 0.67578125, depth_loss: 0.060438454151153564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4632/10000 [11:36:56<17:22:56, 11.66s/it]
                                                          
{'loss': 1.8992, 'grad_norm': 3.272622585296631, 'learning_rate': 3.007373010299813e-05, 'epoch': 0.04}

 46%|████▋     | 4632/10000 [11:36:56<17:22:56, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7278958559036255, dino_loss: 0.62890625, depth_loss: 0.061497002840042114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8729748129844666, dino_loss: 0.73046875, depth_loss: 0.0553743913769722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4633/10000 [11:37:07<17:09:00, 11.50s/it]
                                                          
{'loss': 2.1035, 'grad_norm': 3.579852819442749, 'learning_rate': 3.006563452622429e-05, 'epoch': 0.04}

 46%|████▋     | 4633/10000 [11:37:07<17:09:00, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7035895586013794, dino_loss: 0.66796875, depth_loss: 0.05396299064159393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0339832305908203, dino_loss: 0.7109375, depth_loss: 0.06427550315856934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4634/10000 [11:37:19<17:05:51, 11.47s/it]
                                                          
{'loss': 2.0981, 'grad_norm': 1.823140263557434, 'learning_rate': 3.005753839548027e-05, 'epoch': 0.04}

 46%|████▋     | 4634/10000 [11:37:19<17:05:51, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9501564502716064, dino_loss: 0.703125, depth_loss: 0.05929441750049591, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9194508790969849, dino_loss: 0.70703125, depth_loss: 0.07288436591625214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4635/10000 [11:37:31<17:27:44, 11.72s/it]
                                                          
{'loss': 2.475, 'grad_norm': 1.834733486175537, 'learning_rate': 3.004944171165146e-05, 'epoch': 0.04}

 46%|████▋     | 4635/10000 [11:37:31<17:27:44, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8433186411857605, dino_loss: 0.69140625, depth_loss: 0.0698624774813652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.868384838104248, dino_loss: 0.69921875, depth_loss: 0.060011476278305054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4636/10000 [11:37:42<17:09:10, 11.51s/it]
                                                          
{'loss': 2.1901, 'grad_norm': 2.0589420795440674, 'learning_rate': 3.00413444756233e-05, 'epoch': 0.04}

 46%|████▋     | 4636/10000 [11:37:42<17:09:10, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8445088267326355, dino_loss: 0.68359375, depth_loss: 0.05735719949007034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.809240996837616, dino_loss: 0.71484375, depth_loss: 0.05574578046798706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4637/10000 [11:37:55<17:38:13, 11.84s/it]
                                                          
{'loss': 2.2651, 'grad_norm': 4.364973545074463, 'learning_rate': 3.003324668828128e-05, 'epoch': 0.04}

 46%|████▋     | 4637/10000 [11:37:55<17:38:13, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9986307621002197, dino_loss: 0.69140625, depth_loss: 0.0584184005856514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9049382209777832, dino_loss: 0.7265625, depth_loss: 0.053831178694963455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4638/10000 [11:38:07<17:49:21, 11.97s/it]
                                                          
{'loss': 2.2708, 'grad_norm': 2.4711084365844727, 'learning_rate': 3.0025148350510974e-05, 'epoch': 0.04}

 46%|████▋     | 4638/10000 [11:38:07<17:49:21, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7632304430007935, dino_loss: 0.71875, depth_loss: 0.07868393510580063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8625223636627197, dino_loss: 0.7421875, depth_loss: 0.06733246892690659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4639/10000 [11:38:19<17:43:52, 11.91s/it]
                                                          
{'loss': 2.3837, 'grad_norm': 3.224438190460205, 'learning_rate': 3.0017049463197993e-05, 'epoch': 0.04}

 46%|████▋     | 4639/10000 [11:38:19<17:43:52, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8390800952911377, dino_loss: 0.67578125, depth_loss: 0.06683818995952606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7786470651626587, dino_loss: 0.6796875, depth_loss: 0.05595102533698082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4640/10000 [11:38:30<17:31:55, 11.78s/it]
                                                          
{'loss': 2.0433, 'grad_norm': 2.3661465644836426, 'learning_rate': 3.0008950027228033e-05, 'epoch': 0.04}

 46%|████▋     | 4640/10000 [11:38:30<17:31:55, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7839208841323853, dino_loss: 0.6328125, depth_loss: 0.07243199646472931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9214680194854736, dino_loss: 0.64453125, depth_loss: 0.05081849545240402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4641/10000 [11:38:42<17:20:36, 11.65s/it]
                                                          
{'loss': 1.9874, 'grad_norm': 2.8729476928710938, 'learning_rate': 3.0000850043486823e-05, 'epoch': 0.04}

 46%|████▋     | 4641/10000 [11:38:42<17:20:36, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8007892966270447, dino_loss: 0.65625, depth_loss: 0.05632096156477928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9720960855484009, dino_loss: 0.69921875, depth_loss: 0.06701880693435669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4642/10000 [11:38:54<17:26:32, 11.72s/it]
                                                          
{'loss': 2.3057, 'grad_norm': 3.0814123153686523, 'learning_rate': 2.9992749512860173e-05, 'epoch': 0.04}

 46%|████▋     | 4642/10000 [11:38:54<17:26:32, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8598796129226685, dino_loss: 0.72265625, depth_loss: 0.05636187642812729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8991924524307251, dino_loss: 0.69140625, depth_loss: 0.06301052868366241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4643/10000 [11:39:05<17:25:50, 11.71s/it]
                                                          
{'loss': 2.5215, 'grad_norm': 1.8564988374710083, 'learning_rate': 2.9984648436233947e-05, 'epoch': 0.04}

 46%|████▋     | 4643/10000 [11:39:05<17:25:50, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7631593346595764, dino_loss: 0.703125, depth_loss: 0.06316104531288147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.795038640499115, dino_loss: 0.71875, depth_loss: 0.05920122563838959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4644/10000 [11:39:17<17:24:48, 11.70s/it]
                                                          
{'loss': 1.8758, 'grad_norm': 2.1685256958007812, 'learning_rate': 2.997654681449406e-05, 'epoch': 0.04}

 46%|████▋     | 4644/10000 [11:39:17<17:24:48, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9896748065948486, dino_loss: 0.7109375, depth_loss: 0.059366147965192795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0101555585861206, dino_loss: 0.73046875, depth_loss: 0.07085903733968735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4645/10000 [11:39:29<17:25:39, 11.72s/it]
                                                          
{'loss': 2.2635, 'grad_norm': 4.700963497161865, 'learning_rate': 2.9968444648526493e-05, 'epoch': 0.04}

 46%|████▋     | 4645/10000 [11:39:29<17:25:39, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0097386837005615, dino_loss: 0.73046875, depth_loss: 0.06506258994340897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8104405403137207, dino_loss: 0.65625, depth_loss: 0.07200490683317184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4646/10000 [11:39:40<17:10:40, 11.55s/it]
                                                          
{'loss': 1.9877, 'grad_norm': 2.5776851177215576, 'learning_rate': 2.9960341939217295e-05, 'epoch': 0.04}

 46%|████▋     | 4646/10000 [11:39:40<17:10:40, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7758085131645203, dino_loss: 0.63671875, depth_loss: 0.05237296223640442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8617154955863953, dino_loss: 0.66015625, depth_loss: 0.037392809987068176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4647/10000 [11:39:52<17:23:41, 11.70s/it]
                                                          
{'loss': 1.9393, 'grad_norm': 3.0803472995758057, 'learning_rate': 2.9952238687452555e-05, 'epoch': 0.04}

 46%|████▋     | 4647/10000 [11:39:52<17:23:41, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9939733743667603, dino_loss: 0.65234375, depth_loss: 0.05415443331003189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7408982515335083, dino_loss: 0.6796875, depth_loss: 0.060768187046051025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4648/10000 [11:40:03<17:17:30, 11.63s/it]
                                                          
{'loss': 2.1755, 'grad_norm': 2.981942892074585, 'learning_rate': 2.994413489411844e-05, 'epoch': 0.04}

 46%|████▋     | 4648/10000 [11:40:03<17:17:30, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7493202686309814, dino_loss: 0.640625, depth_loss: 0.05406860262155533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7270280122756958, dino_loss: 0.72265625, depth_loss: 0.04653284698724747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4649/10000 [11:40:14<16:55:43, 11.39s/it]
                                                          
{'loss': 1.4995, 'grad_norm': 7.022572040557861, 'learning_rate': 2.9936030560101168e-05, 'epoch': 0.04}

 46%|████▋     | 4649/10000 [11:40:14<16:55:43, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8452789783477783, dino_loss: 0.6328125, depth_loss: 0.05010068789124489, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8822041749954224, dino_loss: 0.71875, depth_loss: 0.05646619573235512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 46%|████▋     | 4650/10000 [11:40:26<16:55:15, 11.39s/it]
                                                          
{'loss': 1.9442, 'grad_norm': 4.759737491607666, 'learning_rate': 2.9927925686287006e-05, 'epoch': 0.04}

 46%|████▋     | 4650/10000 [11:40:26<16:55:15, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9059944748878479, dino_loss: 0.7265625, depth_loss: 0.06103034317493439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.819819450378418, dino_loss: 0.72265625, depth_loss: 0.07035992294549942, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4651/10000 [11:40:38<17:16:39, 11.63s/it]
                                                          
{'loss': 2.3616, 'grad_norm': 2.4352903366088867, 'learning_rate': 2.991982027356231e-05, 'epoch': 0.04}

 47%|████▋     | 4651/10000 [11:40:38<17:16:39, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0738587379455566, dino_loss: 0.65625, depth_loss: 0.062078338116407394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.6718792915344238, dino_loss: 0.71875, depth_loss: 0.0717737078666687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4652/10000 [11:40:50<17:44:12, 11.94s/it]
                                                          
{'loss': 2.3844, 'grad_norm': 3.295921802520752, 'learning_rate': 2.9911714322813467e-05, 'epoch': 0.04}

 47%|████▋     | 4652/10000 [11:40:50<17:44:12, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8043557405471802, dino_loss: 0.65234375, depth_loss: 0.05666865408420563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8724907636642456, dino_loss: 0.734375, depth_loss: 0.057175397872924805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4653/10000 [11:41:02<17:37:44, 11.87s/it]
                                                          
{'loss': 2.3072, 'grad_norm': 2.785092830657959, 'learning_rate': 2.9903607834926927e-05, 'epoch': 0.04}

 47%|████▋     | 4653/10000 [11:41:02<17:37:44, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7565577030181885, dino_loss: 0.6953125, depth_loss: 0.06652364879846573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7225982546806335, dino_loss: 0.6328125, depth_loss: 0.050970643758773804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4654/10000 [11:41:13<17:18:50, 11.66s/it]
                                                          
{'loss': 1.7421, 'grad_norm': 2.5290305614471436, 'learning_rate': 2.9895500810789202e-05, 'epoch': 0.04}

 47%|████▋     | 4654/10000 [11:41:13<17:18:50, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7847374677658081, dino_loss: 0.70703125, depth_loss: 0.06921214610338211, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.884470522403717, dino_loss: 0.71484375, depth_loss: 0.07075391709804535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4655/10000 [11:41:25<17:17:26, 11.65s/it]
                                                          
{'loss': 1.6238, 'grad_norm': 3.1894357204437256, 'learning_rate': 2.988739325128687e-05, 'epoch': 0.04}

 47%|████▋     | 4655/10000 [11:41:25<17:17:26, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8201069831848145, dino_loss: 0.6953125, depth_loss: 0.07181580364704132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.92082679271698, dino_loss: 0.6875, depth_loss: 0.0774732306599617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4656/10000 [11:41:36<17:04:08, 11.50s/it]
                                                          
{'loss': 1.8259, 'grad_norm': 2.9073965549468994, 'learning_rate': 2.987928515730657e-05, 'epoch': 0.04}

 47%|████▋     | 4656/10000 [11:41:36<17:04:08, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9082449674606323, dino_loss: 0.6875, depth_loss: 0.06303754448890686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8856056928634644, dino_loss: 0.66796875, depth_loss: 0.062493063509464264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4657/10000 [11:41:48<17:10:38, 11.57s/it]
                                                          
{'loss': 2.5356, 'grad_norm': 3.5862085819244385, 'learning_rate': 2.9871176529734968e-05, 'epoch': 0.04}

 47%|████▋     | 4657/10000 [11:41:48<17:10:38, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8289861083030701, dino_loss: 0.6875, depth_loss: 0.0683908611536026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9440129995346069, dino_loss: 0.70703125, depth_loss: 0.06365454196929932, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4658/10000 [11:41:59<17:10:04, 11.57s/it]
                                                          
{'loss': 2.4379, 'grad_norm': 1.9867210388183594, 'learning_rate': 2.986306736945883e-05, 'epoch': 0.04}

 47%|████▋     | 4658/10000 [11:41:59<17:10:04, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.772952675819397, dino_loss: 0.671875, depth_loss: 0.06157933175563812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7552521228790283, dino_loss: 0.67578125, depth_loss: 0.0558515228331089, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4659/10000 [11:42:11<17:16:03, 11.64s/it]
                                                          
{'loss': 2.186, 'grad_norm': 3.9151077270507812, 'learning_rate': 2.9854957677364957e-05, 'epoch': 0.04}

 47%|████▋     | 4659/10000 [11:42:11<17:16:03, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.908730685710907, dino_loss: 0.6875, depth_loss: 0.04886064678430557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9245651960372925, dino_loss: 0.7578125, depth_loss: 0.07329189032316208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4660/10000 [11:42:23<17:29:58, 11.80s/it]
                                                          
{'loss': 2.4927, 'grad_norm': 5.0980706214904785, 'learning_rate': 2.984684745434021e-05, 'epoch': 0.04}

 47%|████▋     | 4660/10000 [11:42:23<17:29:58, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8279093503952026, dino_loss: 0.65234375, depth_loss: 0.07015056908130646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.762709379196167, dino_loss: 0.734375, depth_loss: 0.07047000527381897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4661/10000 [11:42:36<17:40:31, 11.92s/it]
                                                          
{'loss': 2.2266, 'grad_norm': 5.189688682556152, 'learning_rate': 2.9838736701271514e-05, 'epoch': 0.04}

 47%|████▋     | 4661/10000 [11:42:36<17:40:31, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8850323557853699, dino_loss: 0.6796875, depth_loss: 0.07516621798276901, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9286133646965027, dino_loss: 0.80078125, depth_loss: 0.0642528086900711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4662/10000 [11:42:47<17:18:56, 11.68s/it]
                                                          
{'loss': 2.3416, 'grad_norm': 5.361749172210693, 'learning_rate': 2.9830625419045837e-05, 'epoch': 0.04}

 47%|████▋     | 4662/10000 [11:42:47<17:18:56, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9359680414199829, dino_loss: 0.7421875, depth_loss: 0.07125551253557205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6485060453414917, dino_loss: 0.6953125, depth_loss: 0.05866413563489914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4663/10000 [11:42:59<17:23:56, 11.74s/it]
                                                          
{'loss': 2.3301, 'grad_norm': 2.2746431827545166, 'learning_rate': 2.9822513608550238e-05, 'epoch': 0.04}

 47%|████▋     | 4663/10000 [11:42:59<17:23:56, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.3616966009140015, dino_loss: 0.6875, depth_loss: 0.04743005707859993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.9962719082832336, dino_loss: 0.72265625, depth_loss: 0.06936822831630707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4664/10000 [11:43:10<17:18:49, 11.68s/it]
                                                          
{'loss': 2.8034, 'grad_norm': 4.002450942993164, 'learning_rate': 2.98144012706718e-05, 'epoch': 0.04}

 47%|████▋     | 4664/10000 [11:43:10<17:18:49, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9312421083450317, dino_loss: 0.64453125, depth_loss: 0.05372622236609459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8840386867523193, dino_loss: 0.6796875, depth_loss: 0.06532440334558487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4665/10000 [11:43:22<17:25:56, 11.76s/it]
                                                          
{'loss': 1.8237, 'grad_norm': 3.8837904930114746, 'learning_rate': 2.9806288406297676e-05, 'epoch': 0.04}

 47%|████▋     | 4665/10000 [11:43:22<17:25:56, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6997024416923523, dino_loss: 0.64453125, depth_loss: 0.06586945801973343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7762531042098999, dino_loss: 0.64453125, depth_loss: 0.06556206941604614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4666/10000 [11:43:34<17:31:29, 11.83s/it]
                                                          
{'loss': 1.7518, 'grad_norm': 1.3276365995407104, 'learning_rate': 2.9798175016315078e-05, 'epoch': 0.04}

 47%|████▋     | 4666/10000 [11:43:34<17:31:29, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8233431577682495, dino_loss: 0.6640625, depth_loss: 0.053717318922281265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7703893184661865, dino_loss: 0.640625, depth_loss: 0.04819992557168007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4667/10000 [11:43:45<17:21:27, 11.72s/it]
                                                          
{'loss': 1.8358, 'grad_norm': 2.9217965602874756, 'learning_rate': 2.9790061101611276e-05, 'epoch': 0.04}

 47%|████▋     | 4667/10000 [11:43:45<17:21:27, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7279322147369385, dino_loss: 0.67578125, depth_loss: 0.062107209116220474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8335340023040771, dino_loss: 0.74609375, depth_loss: 0.07811538875102997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4668/10000 [11:43:58<17:39:47, 11.93s/it]
                                                          
{'loss': 2.477, 'grad_norm': 2.5761282444000244, 'learning_rate': 2.9781946663073596e-05, 'epoch': 0.04}

 47%|████▋     | 4668/10000 [11:43:58<17:39:47, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8786840438842773, dino_loss: 0.69921875, depth_loss: 0.08281312137842178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8851644992828369, dino_loss: 0.671875, depth_loss: 0.065636545419693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4669/10000 [11:44:09<17:26:37, 11.78s/it]
                                                          
{'loss': 2.5594, 'grad_norm': 2.1562230587005615, 'learning_rate': 2.9773831701589412e-05, 'epoch': 0.04}

 47%|████▋     | 4669/10000 [11:44:09<17:26:37, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9882211685180664, dino_loss: 0.71875, depth_loss: 0.06865983456373215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9281138181686401, dino_loss: 0.67578125, depth_loss: 0.05826378986239433, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4670/10000 [11:44:21<17:34:09, 11.87s/it]
                                                          
{'loss': 2.4918, 'grad_norm': 3.8433148860931396, 'learning_rate': 2.9765716218046175e-05, 'epoch': 0.04}

 47%|████▋     | 4670/10000 [11:44:21<17:34:09, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8303338289260864, dino_loss: 0.7265625, depth_loss: 0.046908874064683914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1520600318908691, dino_loss: 0.68359375, depth_loss: 0.06000988930463791, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4671/10000 [11:44:34<17:44:23, 11.98s/it]
                                                          
{'loss': 2.7903, 'grad_norm': 1.9168798923492432, 'learning_rate': 2.9757600213331378e-05, 'epoch': 0.04}

 47%|████▋     | 4671/10000 [11:44:34<17:44:23, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8809982538223267, dino_loss: 0.7265625, depth_loss: 0.07376046478748322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8790228962898254, dino_loss: 0.7109375, depth_loss: 0.055776678025722504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4672/10000 [11:44:45<17:24:14, 11.76s/it]
                                                          
{'loss': 2.1933, 'grad_norm': 2.8318514823913574, 'learning_rate': 2.9749483688332574e-05, 'epoch': 0.04}

 47%|████▋     | 4672/10000 [11:44:45<17:24:14, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9245350360870361, dino_loss: 0.6640625, depth_loss: 0.05739559233188629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9573076963424683, dino_loss: 0.6796875, depth_loss: 0.06919871270656586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4673/10000 [11:44:57<17:28:55, 11.81s/it]
                                                          
{'loss': 2.0005, 'grad_norm': 3.3723320960998535, 'learning_rate': 2.9741366643937367e-05, 'epoch': 0.04}

 47%|████▋     | 4673/10000 [11:44:57<17:28:55, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.780793309211731, dino_loss: 0.7265625, depth_loss: 0.07297006249427795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8358452320098877, dino_loss: 0.703125, depth_loss: 0.09671857953071594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4674/10000 [11:45:08<17:23:47, 11.76s/it]
                                                          
{'loss': 1.924, 'grad_norm': 2.9001760482788086, 'learning_rate': 2.9733249081033442e-05, 'epoch': 0.04}

 47%|████▋     | 4674/10000 [11:45:08<17:23:47, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7697077989578247, dino_loss: 0.62109375, depth_loss: 0.04407854005694389, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9757428765296936, dino_loss: 0.69921875, depth_loss: 0.055296890437603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4675/10000 [11:45:21<17:39:33, 11.94s/it]
                                                          
{'loss': 2.3103, 'grad_norm': 4.469167709350586, 'learning_rate': 2.972513100050851e-05, 'epoch': 0.04}

 47%|████▋     | 4675/10000 [11:45:21<17:39:33, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8831030130386353, dino_loss: 0.70703125, depth_loss: 0.06543919444084167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9578203558921814, dino_loss: 0.68359375, depth_loss: 0.07015600800514221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4676/10000 [11:45:33<17:37:07, 11.91s/it]
                                                          
{'loss': 2.2515, 'grad_norm': 3.6509358882904053, 'learning_rate': 2.9717012403250356e-05, 'epoch': 0.04}

 47%|████▋     | 4676/10000 [11:45:33<17:37:07, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6357430815696716, dino_loss: 0.63671875, depth_loss: 0.04279763251543045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7407679557800293, dino_loss: 0.66015625, depth_loss: 0.051744457334280014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4677/10000 [11:45:44<17:27:48, 11.81s/it]
                                                          
{'loss': 1.8414, 'grad_norm': 2.6967644691467285, 'learning_rate': 2.9708893290146823e-05, 'epoch': 0.04}

 47%|████▋     | 4677/10000 [11:45:44<17:27:48, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7306917905807495, dino_loss: 0.6015625, depth_loss: 0.054190196096897125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0801668167114258, dino_loss: 0.70703125, depth_loss: 0.06543605774641037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4678/10000 [11:45:55<17:10:30, 11.62s/it]
                                                          
{'loss': 1.7976, 'grad_norm': 2.5611534118652344, 'learning_rate': 2.970077366208579e-05, 'epoch': 0.04}

 47%|████▋     | 4678/10000 [11:45:55<17:10:30, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8672343492507935, dino_loss: 0.65234375, depth_loss: 0.06853427737951279, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8428604006767273, dino_loss: 0.69140625, depth_loss: 0.06229677051305771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4679/10000 [11:46:07<17:09:38, 11.61s/it]
                                                          
{'loss': 2.2048, 'grad_norm': 2.6172947883605957, 'learning_rate': 2.9692653519955223e-05, 'epoch': 0.04}

 47%|████▋     | 4679/10000 [11:46:07<17:09:38, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9551398754119873, dino_loss: 0.69140625, depth_loss: 0.08522067964076996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.8893725275993347, dino_loss: 0.69140625, depth_loss: 0.06482038646936417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4680/10000 [11:46:18<16:48:30, 11.37s/it]
                                                          
{'loss': 2.1627, 'grad_norm': 2.9006028175354004, 'learning_rate': 2.9684532864643122e-05, 'epoch': 0.04}

 47%|████▋     | 4680/10000 [11:46:18<16:48:30, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7953929901123047, dino_loss: 0.640625, depth_loss: 0.06238936632871628, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.7604723572731018, dino_loss: 0.6171875, depth_loss: 0.04831458628177643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4681/10000 [11:46:29<16:46:08, 11.35s/it]
                                                          
{'loss': 2.0482, 'grad_norm': 2.094144344329834, 'learning_rate': 2.9676411697037547e-05, 'epoch': 0.04}

 47%|████▋     | 4681/10000 [11:46:29<16:46:08, 11.35s/it]the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.5879079103469849, dino_loss: 0.6015625, depth_loss: 0.04558885470032692, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7094103097915649, dino_loss: 0.63671875, depth_loss: 0.06531724333763123, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4682/10000 [11:46:41<16:48:04, 11.37s/it]
                                                          
{'loss': 1.8157, 'grad_norm': 3.8280017375946045, 'learning_rate': 2.9668290018026617e-05, 'epoch': 0.04}

 47%|████▋     | 4682/10000 [11:46:41<16:48:04, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.924944281578064, dino_loss: 0.7109375, depth_loss: 0.05475618317723274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.8383137583732605, dino_loss: 0.73828125, depth_loss: 0.06692975759506226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4683/10000 [11:46:53<17:13:10, 11.66s/it]
                                                          
{'loss': 2.5302, 'grad_norm': 4.849945068359375, 'learning_rate': 2.966016782849852e-05, 'epoch': 0.04}

 47%|████▋     | 4683/10000 [11:46:53<17:13:10, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8553245067596436, dino_loss: 0.6796875, depth_loss: 0.06256984174251556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9037906527519226, dino_loss: 0.63671875, depth_loss: 0.050362616777420044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4684/10000 [11:47:04<17:10:33, 11.63s/it]
                                                          
{'loss': 2.2545, 'grad_norm': 2.507969617843628, 'learning_rate': 2.9652045129341467e-05, 'epoch': 0.04}

 47%|████▋     | 4684/10000 [11:47:04<17:10:33, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9572999477386475, dino_loss: 0.6484375, depth_loss: 0.06507237255573273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7708731889724731, dino_loss: 0.70703125, depth_loss: 0.049683403223752975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4685/10000 [11:47:16<17:11:59, 11.65s/it]
                                                          
{'loss': 2.2525, 'grad_norm': 1.7411049604415894, 'learning_rate': 2.964392192144375e-05, 'epoch': 0.04}

 47%|████▋     | 4685/10000 [11:47:16<17:11:59, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0362709760665894, dino_loss: 0.6796875, depth_loss: 0.04950924217700958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8097422122955322, dino_loss: 0.671875, depth_loss: 0.06928639858961105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4686/10000 [11:47:28<17:15:23, 11.69s/it]
                                                          
{'loss': 2.3514, 'grad_norm': 2.4296963214874268, 'learning_rate': 2.963579820569372e-05, 'epoch': 0.04}

 47%|████▋     | 4686/10000 [11:47:28<17:15:23, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7622714638710022, dino_loss: 0.7109375, depth_loss: 0.0482008159160614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6013292074203491, dino_loss: 0.609375, depth_loss: 0.04373946040868759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4687/10000 [11:47:39<17:08:55, 11.62s/it]
                                                          
{'loss': 1.6224, 'grad_norm': 2.8700971603393555, 'learning_rate': 2.9627673982979764e-05, 'epoch': 0.04}

 47%|████▋     | 4687/10000 [11:47:39<17:08:55, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8235869407653809, dino_loss: 0.6171875, depth_loss: 0.05371762439608574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9857966899871826, dino_loss: 0.7421875, depth_loss: 0.08911097049713135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4688/10000 [11:47:51<16:57:07, 11.49s/it]
                                                          
{'loss': 2.0683, 'grad_norm': 3.9899697303771973, 'learning_rate': 2.961954925419035e-05, 'epoch': 0.04}

 47%|████▋     | 4688/10000 [11:47:51<16:57:07, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8994379043579102, dino_loss: 0.703125, depth_loss: 0.06978950649499893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8423463106155396, dino_loss: 0.6875, depth_loss: 0.07287973165512085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4689/10000 [11:48:02<16:57:34, 11.50s/it]
                                                          
{'loss': 2.2663, 'grad_norm': 2.2432446479797363, 'learning_rate': 2.961142402021396e-05, 'epoch': 0.04}

 47%|████▋     | 4689/10000 [11:48:02<16:57:34, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.929767370223999, dino_loss: 0.73046875, depth_loss: 0.054543741047382355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8478103280067444, dino_loss: 0.6796875, depth_loss: 0.05362100154161453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4690/10000 [11:48:13<16:33:13, 11.22s/it]
                                                          
{'loss': 1.7078, 'grad_norm': 2.469597101211548, 'learning_rate': 2.9603298281939178e-05, 'epoch': 0.04}

 47%|████▋     | 4690/10000 [11:48:13<16:33:13, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0172901153564453, dino_loss: 0.7109375, depth_loss: 0.0776301696896553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6767275929450989, dino_loss: 0.67578125, depth_loss: 0.07995358109474182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4691/10000 [11:48:24<16:38:52, 11.29s/it]
                                                          
{'loss': 2.0026, 'grad_norm': 3.2500271797180176, 'learning_rate': 2.9595172040254625e-05, 'epoch': 0.04}

 47%|████▋     | 4691/10000 [11:48:24<16:38:52, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8560264110565186, dino_loss: 0.671875, depth_loss: 0.08848181366920471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8477535247802734, dino_loss: 0.6953125, depth_loss: 0.07053758203983307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4692/10000 [11:48:36<16:47:15, 11.39s/it]
                                                          
{'loss': 2.2176, 'grad_norm': 8.856544494628906, 'learning_rate': 2.9587045296048955e-05, 'epoch': 0.04}

 47%|████▋     | 4692/10000 [11:48:36<16:47:15, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9103521704673767, dino_loss: 0.6953125, depth_loss: 0.059653278440237045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9018545150756836, dino_loss: 0.71484375, depth_loss: 0.07457606494426727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4693/10000 [11:48:47<16:55:53, 11.49s/it]
                                                          
{'loss': 2.443, 'grad_norm': 2.759798526763916, 'learning_rate': 2.9578918050210912e-05, 'epoch': 0.04}

 47%|████▋     | 4693/10000 [11:48:47<16:55:53, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8930270671844482, dino_loss: 0.66796875, depth_loss: 0.06332197785377502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6480284333229065, dino_loss: 0.68359375, depth_loss: 0.04815275967121124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4694/10000 [11:48:59<16:54:56, 11.48s/it]
                                                          
{'loss': 1.5085, 'grad_norm': 1.6283466815948486, 'learning_rate': 2.957079030362928e-05, 'epoch': 0.04}

 47%|████▋     | 4694/10000 [11:48:59<16:54:56, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9181391596794128, dino_loss: 0.7421875, depth_loss: 0.06160207465291023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6949844360351562, dino_loss: 0.62109375, depth_loss: 0.06878785789012909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4695/10000 [11:49:10<16:55:38, 11.49s/it]
                                                          
{'loss': 2.0155, 'grad_norm': 1.9393969774246216, 'learning_rate': 2.956266205719288e-05, 'epoch': 0.04}

 47%|████▋     | 4695/10000 [11:49:10<16:55:38, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8855911493301392, dino_loss: 0.703125, depth_loss: 0.08389301598072052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9899665117263794, dino_loss: 0.73046875, depth_loss: 0.06647495180368423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4696/10000 [11:49:22<16:56:28, 11.50s/it]
                                                          
{'loss': 2.2241, 'grad_norm': 3.0805041790008545, 'learning_rate': 2.9554533311790632e-05, 'epoch': 0.04}

 47%|████▋     | 4696/10000 [11:49:22<16:56:28, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0335783958435059, dino_loss: 0.69921875, depth_loss: 0.06999602913856506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7541254162788391, dino_loss: 0.61328125, depth_loss: 0.05112960562109947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4697/10000 [11:49:34<17:06:33, 11.61s/it]
                                                          
{'loss': 2.2613, 'grad_norm': 2.572622060775757, 'learning_rate': 2.9546404068311462e-05, 'epoch': 0.04}

 47%|████▋     | 4697/10000 [11:49:34<17:06:33, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0736016035079956, dino_loss: 0.7265625, depth_loss: 0.053858838975429535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9339767694473267, dino_loss: 0.67578125, depth_loss: 0.06373021006584167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4698/10000 [11:49:45<17:07:38, 11.63s/it]
                                                          
{'loss': 2.3067, 'grad_norm': 3.9190242290496826, 'learning_rate': 2.953827432764438e-05, 'epoch': 0.04}

 47%|████▋     | 4698/10000 [11:49:45<17:07:38, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8127552270889282, dino_loss: 0.6328125, depth_loss: 0.05321495234966278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7830011248588562, dino_loss: 0.65234375, depth_loss: 0.055441536009311676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4699/10000 [11:49:57<17:01:29, 11.56s/it]
                                                          
{'loss': 1.9757, 'grad_norm': 3.6484084129333496, 'learning_rate': 2.9530144090678435e-05, 'epoch': 0.04}

 47%|████▋     | 4699/10000 [11:49:57<17:01:29, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7776933312416077, dino_loss: 0.625, depth_loss: 0.06667251884937286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9229011535644531, dino_loss: 0.734375, depth_loss: 0.05947386473417282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4700/10000 [11:50:09<17:10:52, 11.67s/it]
                                                          
{'loss': 2.3205, 'grad_norm': 4.243458271026611, 'learning_rate': 2.952201335830275e-05, 'epoch': 0.04}

 47%|████▋     | 4700/10000 [11:50:09<17:10:52, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7608150839805603, dino_loss: 0.671875, depth_loss: 0.05678468570113182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8801957964897156, dino_loss: 0.703125, depth_loss: 0.07384513318538666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4701/10000 [11:50:22<17:48:06, 12.09s/it]
                                                          
{'loss': 2.0359, 'grad_norm': 2.916868209838867, 'learning_rate': 2.951388213140648e-05, 'epoch': 0.04}

 47%|████▋     | 4701/10000 [11:50:22<17:48:06, 12.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9595458507537842, dino_loss: 0.72265625, depth_loss: 0.06466541439294815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7584496140480042, dino_loss: 0.63671875, depth_loss: 0.05801847577095032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4702/10000 [11:50:33<17:21:41, 11.80s/it]
                                                          
{'loss': 1.683, 'grad_norm': 3.8851306438446045, 'learning_rate': 2.9505750410878845e-05, 'epoch': 0.04}

 47%|████▋     | 4702/10000 [11:50:33<17:21:41, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9881384372711182, dino_loss: 0.71875, depth_loss: 0.07166757434606552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.8505175709724426, dino_loss: 0.6796875, depth_loss: 0.05822466313838959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4703/10000 [11:50:44<16:56:33, 11.51s/it]
                                                          
{'loss': 1.6932, 'grad_norm': 5.658038139343262, 'learning_rate': 2.9497618197609124e-05, 'epoch': 0.04}

 47%|████▋     | 4703/10000 [11:50:44<16:56:33, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7626432180404663, dino_loss: 0.609375, depth_loss: 0.03848306089639664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9256756901741028, dino_loss: 0.7109375, depth_loss: 0.06061571091413498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4704/10000 [11:50:55<16:54:32, 11.49s/it]
                                                          
{'loss': 2.2468, 'grad_norm': 2.666339874267578, 'learning_rate': 2.948948549248664e-05, 'epoch': 0.04}

 47%|████▋     | 4704/10000 [11:50:55<16:54:32, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8406504392623901, dino_loss: 0.66796875, depth_loss: 0.05252166837453842, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8174529075622559, dino_loss: 0.76953125, depth_loss: 0.08448627591133118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4705/10000 [11:51:07<16:55:39, 11.51s/it]
                                                          
{'loss': 2.0405, 'grad_norm': 2.48435115814209, 'learning_rate': 2.9481352296400766e-05, 'epoch': 0.04}

 47%|████▋     | 4705/10000 [11:51:07<16:55:39, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7288284301757812, dino_loss: 0.703125, depth_loss: 0.07080338895320892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8657833337783813, dino_loss: 0.703125, depth_loss: 0.05337662249803543, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4706/10000 [11:51:18<16:53:35, 11.49s/it]
                                                          
{'loss': 1.7398, 'grad_norm': 2.1106972694396973, 'learning_rate': 2.9473218610240943e-05, 'epoch': 0.04}

 47%|████▋     | 4706/10000 [11:51:18<16:53:35, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9692811965942383, dino_loss: 0.68359375, depth_loss: 0.0599350705742836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7624467611312866, dino_loss: 0.703125, depth_loss: 0.05603371933102608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4707/10000 [11:51:29<16:37:14, 11.30s/it]
                                                          
{'loss': 2.038, 'grad_norm': 4.00709342956543, 'learning_rate': 2.9465084434896663e-05, 'epoch': 0.04}

 47%|████▋     | 4707/10000 [11:51:29<16:37:14, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8381276726722717, dino_loss: 0.62890625, depth_loss: 0.05363256856799126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7936453819274902, dino_loss: 0.6796875, depth_loss: 0.058075763285160065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4708/10000 [11:51:40<16:32:56, 11.26s/it]
                                                          
{'loss': 1.7438, 'grad_norm': 5.440618991851807, 'learning_rate': 2.9456949771257458e-05, 'epoch': 0.04}

 47%|████▋     | 4708/10000 [11:51:40<16:32:56, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8343967199325562, dino_loss: 0.671875, depth_loss: 0.051704294979572296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8257551193237305, dino_loss: 0.6953125, depth_loss: 0.05441153049468994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4709/10000 [11:51:52<16:38:21, 11.32s/it]
                                                          
{'loss': 2.1546, 'grad_norm': 1.8420073986053467, 'learning_rate': 2.9448814620212926e-05, 'epoch': 0.04}

 47%|████▋     | 4709/10000 [11:51:52<16:38:21, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9195023775100708, dino_loss: 0.7421875, depth_loss: 0.05674603581428528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0462474822998047, dino_loss: 0.69921875, depth_loss: 0.06075171381235123, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4710/10000 [11:52:03<16:35:18, 11.29s/it]
                                                          
{'loss': 2.4101, 'grad_norm': 2.8794331550598145, 'learning_rate': 2.944067898265272e-05, 'epoch': 0.04}

 47%|████▋     | 4710/10000 [11:52:03<16:35:18, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8430516719818115, dino_loss: 0.65234375, depth_loss: 0.06747382134199142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6644001007080078, dino_loss: 0.69140625, depth_loss: 0.059268370270729065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4711/10000 [11:52:14<16:39:21, 11.34s/it]
                                                          
{'loss': 2.046, 'grad_norm': 5.032707691192627, 'learning_rate': 2.943254285946654e-05, 'epoch': 0.04}

 47%|████▋     | 4711/10000 [11:52:14<16:39:21, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0314422845840454, dino_loss: 0.71484375, depth_loss: 0.06162577122449875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9474605321884155, dino_loss: 0.7109375, depth_loss: 0.06186318024992943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4712/10000 [11:52:25<16:30:03, 11.23s/it]
                                                          
{'loss': 2.4914, 'grad_norm': 1.9895223379135132, 'learning_rate': 2.9424406251544122e-05, 'epoch': 0.04}

 47%|████▋     | 4712/10000 [11:52:25<16:30:03, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8428391814231873, dino_loss: 0.70703125, depth_loss: 0.04481007158756256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8386191725730896, dino_loss: 0.66796875, depth_loss: 0.05749860405921936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4713/10000 [11:52:38<17:00:06, 11.58s/it]
                                                          
{'loss': 2.08, 'grad_norm': 2.8098812103271484, 'learning_rate': 2.9416269159775307e-05, 'epoch': 0.04}

 47%|████▋     | 4713/10000 [11:52:38<17:00:06, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7747573852539062, dino_loss: 0.71875, depth_loss: 0.07739440351724625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8659093379974365, dino_loss: 0.67578125, depth_loss: 0.06325861811637878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4714/10000 [11:52:49<17:00:32, 11.58s/it]
                                                          
{'loss': 2.0527, 'grad_norm': 3.575038433074951, 'learning_rate': 2.940813158504992e-05, 'epoch': 0.04}

 47%|████▋     | 4714/10000 [11:52:49<17:00:32, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7247645258903503, dino_loss: 0.703125, depth_loss: 0.05990394949913025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.802210807800293, dino_loss: 0.703125, depth_loss: 0.05318986624479294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4715/10000 [11:53:02<17:14:43, 11.75s/it]
                                                          
{'loss': 2.3937, 'grad_norm': 2.8159661293029785, 'learning_rate': 2.9399993528257902e-05, 'epoch': 0.04}

 47%|████▋     | 4715/10000 [11:53:02<17:14:43, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8515903949737549, dino_loss: 0.66015625, depth_loss: 0.06162464618682861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9003394842147827, dino_loss: 0.66015625, depth_loss: 0.058700695633888245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4716/10000 [11:53:13<17:03:43, 11.62s/it]
                                                          
{'loss': 1.9929, 'grad_norm': 5.621457576751709, 'learning_rate': 2.9391854990289207e-05, 'epoch': 0.04}

 47%|████▋     | 4716/10000 [11:53:13<17:03:43, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.741663932800293, dino_loss: 0.72265625, depth_loss: 0.07346758246421814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.763670802116394, dino_loss: 0.66015625, depth_loss: 0.06057260185480118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4717/10000 [11:53:25<17:07:15, 11.67s/it]
                                                          
{'loss': 2.1421, 'grad_norm': 6.6420745849609375, 'learning_rate': 2.9383715972033844e-05, 'epoch': 0.04}

 47%|████▋     | 4717/10000 [11:53:25<17:07:15, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.101492166519165, dino_loss: 0.703125, depth_loss: 0.05322279408574104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8369144201278687, dino_loss: 0.66015625, depth_loss: 0.050003230571746826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4718/10000 [11:53:36<16:56:56, 11.55s/it]
                                                          
{'loss': 2.0254, 'grad_norm': 4.183467388153076, 'learning_rate': 2.9375576474381905e-05, 'epoch': 0.04}

 47%|████▋     | 4718/10000 [11:53:36<16:56:56, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.809196949005127, dino_loss: 0.703125, depth_loss: 0.06364627927541733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8768155574798584, dino_loss: 0.68359375, depth_loss: 0.06285995244979858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4719/10000 [11:53:47<16:56:42, 11.55s/it]
                                                          
{'loss': 2.3063, 'grad_norm': 3.2745654582977295, 'learning_rate': 2.9367436498223493e-05, 'epoch': 0.04}

 47%|████▋     | 4719/10000 [11:53:47<16:56:42, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.10872220993042, dino_loss: 0.64453125, depth_loss: 0.06778542697429657, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7848727107048035, dino_loss: 0.640625, depth_loss: 0.05802294611930847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4720/10000 [11:53:59<17:04:03, 11.64s/it]
                                                          
{'loss': 1.9355, 'grad_norm': 7.650079250335693, 'learning_rate': 2.9359296044448794e-05, 'epoch': 0.04}

 47%|████▋     | 4720/10000 [11:53:59<17:04:03, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9564234018325806, dino_loss: 0.69140625, depth_loss: 0.07001165300607681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8881610631942749, dino_loss: 0.72265625, depth_loss: 0.07412873208522797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4721/10000 [11:54:10<16:45:07, 11.42s/it]
                                                          
{'loss': 2.2443, 'grad_norm': 2.402789354324341, 'learning_rate': 2.9351155113948037e-05, 'epoch': 0.04}

 47%|████▋     | 4721/10000 [11:54:10<16:45:07, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7060373425483704, dino_loss: 0.6640625, depth_loss: 0.06065809726715088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.929691731929779, dino_loss: 0.7265625, depth_loss: 0.056035108864307404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4722/10000 [11:54:22<16:48:32, 11.47s/it]
                                                          
{'loss': 2.0553, 'grad_norm': 2.846691608428955, 'learning_rate': 2.9343013707611493e-05, 'epoch': 0.04}

 47%|████▋     | 4722/10000 [11:54:22<16:48:32, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8606206178665161, dino_loss: 0.69921875, depth_loss: 0.061424870043992996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7280777096748352, dino_loss: 0.66015625, depth_loss: 0.04831716790795326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4723/10000 [11:54:34<16:56:10, 11.55s/it]
                                                          
{'loss': 2.0402, 'grad_norm': 4.064048767089844, 'learning_rate': 2.9334871826329507e-05, 'epoch': 0.04}

 47%|████▋     | 4723/10000 [11:54:34<16:56:10, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7947721481323242, dino_loss: 0.7421875, depth_loss: 0.062021560966968536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8451157808303833, dino_loss: 0.71484375, depth_loss: 0.06971222162246704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4724/10000 [11:54:45<16:55:55, 11.55s/it]
                                                          
{'loss': 2.1514, 'grad_norm': 9.155508041381836, 'learning_rate': 2.9326729470992448e-05, 'epoch': 0.04}

 47%|████▋     | 4724/10000 [11:54:45<16:55:55, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.5713417530059814, dino_loss: 0.703125, depth_loss: 0.0637626200914383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6623087525367737, dino_loss: 0.703125, depth_loss: 0.05524461716413498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4725/10000 [11:54:57<16:52:46, 11.52s/it]
                                                          
{'loss': 2.5623, 'grad_norm': 11.149697303771973, 'learning_rate': 2.9318586642490763e-05, 'epoch': 0.04}

 47%|████▋     | 4725/10000 [11:54:57<16:52:46, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9737555980682373, dino_loss: 0.70703125, depth_loss: 0.06356219947338104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6997489929199219, dino_loss: 0.6328125, depth_loss: 0.054105211049318314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4726/10000 [11:55:08<16:52:40, 11.52s/it]
                                                          
{'loss': 2.1263, 'grad_norm': 1.8705065250396729, 'learning_rate': 2.931044334171493e-05, 'epoch': 0.04}

 47%|████▋     | 4726/10000 [11:55:08<16:52:40, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8776983618736267, dino_loss: 0.6796875, depth_loss: 0.0695410892367363, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8218255639076233, dino_loss: 0.71875, depth_loss: 0.056314077228307724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4727/10000 [11:55:19<16:42:53, 11.41s/it]
                                                          
{'loss': 2.0929, 'grad_norm': 1.980458378791809, 'learning_rate': 2.9302299569555504e-05, 'epoch': 0.04}

 47%|████▋     | 4727/10000 [11:55:19<16:42:53, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7545382380485535, dino_loss: 0.68359375, depth_loss: 0.06150481849908829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9973710179328918, dino_loss: 0.71875, depth_loss: 0.06778131425380707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4728/10000 [11:55:31<16:51:12, 11.51s/it]
                                                          
{'loss': 2.258, 'grad_norm': 3.6289267539978027, 'learning_rate': 2.929415532690306e-05, 'epoch': 0.04}

 47%|████▋     | 4728/10000 [11:55:31<16:51:12, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5967246294021606, dino_loss: 0.609375, depth_loss: 0.0448099784553051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9023441672325134, dino_loss: 0.6953125, depth_loss: 0.06367477774620056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4729/10000 [11:55:43<16:52:40, 11.53s/it]
                                                          
{'loss': 1.8593, 'grad_norm': 3.5921785831451416, 'learning_rate': 2.9286010614648246e-05, 'epoch': 0.04}

 47%|████▋     | 4729/10000 [11:55:43<16:52:40, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.833250105381012, dino_loss: 0.71484375, depth_loss: 0.06867046654224396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8614895343780518, dino_loss: 0.640625, depth_loss: 0.0518525093793869, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4730/10000 [11:55:54<16:56:09, 11.57s/it]
                                                          
{'loss': 2.1326, 'grad_norm': 2.246903657913208, 'learning_rate': 2.927786543368175e-05, 'epoch': 0.04}

 47%|████▋     | 4730/10000 [11:55:54<16:56:09, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8926949501037598, dino_loss: 0.6796875, depth_loss: 0.06855402141809464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.922439694404602, dino_loss: 0.6796875, depth_loss: 0.08526536822319031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4731/10000 [11:56:06<16:55:39, 11.57s/it]
                                                          
{'loss': 2.1372, 'grad_norm': 2.507826328277588, 'learning_rate': 2.926971978489433e-05, 'epoch': 0.04}

 47%|████▋     | 4731/10000 [11:56:06<16:55:39, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8412885665893555, dino_loss: 0.73046875, depth_loss: 0.07351920008659363, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7164276242256165, dino_loss: 0.625, depth_loss: 0.05375397205352783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4732/10000 [11:56:18<17:06:46, 11.69s/it]
                                                          
{'loss': 2.186, 'grad_norm': 3.453455686569214, 'learning_rate': 2.926157366917677e-05, 'epoch': 0.04}

 47%|████▋     | 4732/10000 [11:56:18<17:06:46, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8584800958633423, dino_loss: 0.72265625, depth_loss: 0.06056372821331024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8110119104385376, dino_loss: 0.71484375, depth_loss: 0.07370564341545105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4733/10000 [11:56:30<17:13:34, 11.77s/it]
                                                          
{'loss': 2.4503, 'grad_norm': 4.487183094024658, 'learning_rate': 2.9253427087419916e-05, 'epoch': 0.04}

 47%|████▋     | 4733/10000 [11:56:30<17:13:34, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8324364423751831, dino_loss: 0.65625, depth_loss: 0.055542562156915665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5706925392150879, dino_loss: 0.5546875, depth_loss: 0.04846714064478874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4734/10000 [11:56:41<16:54:24, 11.56s/it]
                                                          
{'loss': 1.5416, 'grad_norm': 4.296563148498535, 'learning_rate': 2.9245280040514678e-05, 'epoch': 0.04}

 47%|████▋     | 4734/10000 [11:56:41<16:54:24, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8840453624725342, dino_loss: 0.6953125, depth_loss: 0.07039398699998856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7190148234367371, dino_loss: 0.69921875, depth_loss: 0.05569274723529816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4735/10000 [11:56:52<16:56:45, 11.59s/it]
                                                          
{'loss': 2.0226, 'grad_norm': 4.994293689727783, 'learning_rate': 2.9237132529351996e-05, 'epoch': 0.04}

 47%|████▋     | 4735/10000 [11:56:52<16:56:45, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0303899049758911, dino_loss: 0.69140625, depth_loss: 0.0655684620141983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8324005603790283, dino_loss: 0.72265625, depth_loss: 0.085821233689785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4736/10000 [11:57:03<16:40:24, 11.40s/it]
                                                          
{'loss': 1.7157, 'grad_norm': 5.011751651763916, 'learning_rate': 2.9228984554822868e-05, 'epoch': 0.04}

 47%|████▋     | 4736/10000 [11:57:03<16:40:24, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.880693793296814, dino_loss: 0.66796875, depth_loss: 0.0683082640171051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7598344683647156, dino_loss: 0.6875, depth_loss: 0.05164377763867378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4737/10000 [11:57:16<17:00:23, 11.63s/it]
                                                          
{'loss': 2.2178, 'grad_norm': 3.4111361503601074, 'learning_rate': 2.9220836117818344e-05, 'epoch': 0.04}

 47%|████▋     | 4737/10000 [11:57:16<17:00:23, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7582951784133911, dino_loss: 0.625, depth_loss: 0.06891710311174393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8953338861465454, dino_loss: 0.7421875, depth_loss: 0.056838080286979675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4738/10000 [11:57:27<16:55:50, 11.58s/it]
                                                          
{'loss': 1.5758, 'grad_norm': 3.0871975421905518, 'learning_rate': 2.921268721922954e-05, 'epoch': 0.04}

 47%|████▋     | 4738/10000 [11:57:27<16:55:50, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0478661060333252, dino_loss: 0.71484375, depth_loss: 0.059929244220256805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6429338455200195, dino_loss: 0.61328125, depth_loss: 0.04552287235856056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4739/10000 [11:57:39<17:02:52, 11.67s/it]
                                                          
{'loss': 2.5127, 'grad_norm': 4.146090507507324, 'learning_rate': 2.920453785994759e-05, 'epoch': 0.04}

 47%|████▋     | 4739/10000 [11:57:39<17:02:52, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9239832758903503, dino_loss: 0.71484375, depth_loss: 0.06836307048797607, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8361973166465759, dino_loss: 0.64453125, depth_loss: 0.048509806394577026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4740/10000 [11:57:51<17:01:40, 11.65s/it]
                                                          
{'loss': 1.802, 'grad_norm': 4.619262218475342, 'learning_rate': 2.9196388040863693e-05, 'epoch': 0.04}

 47%|████▋     | 4740/10000 [11:57:51<17:01:40, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9123774170875549, dino_loss: 0.6953125, depth_loss: 0.05983857065439224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9290053248405457, dino_loss: 0.7109375, depth_loss: 0.052915383130311966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4741/10000 [11:58:03<17:15:31, 11.81s/it]
                                                          
{'loss': 2.6367, 'grad_norm': 3.617544174194336, 'learning_rate': 2.918823776286912e-05, 'epoch': 0.04}

 47%|████▋     | 4741/10000 [11:58:03<17:15:31, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6598373055458069, dino_loss: 0.62890625, depth_loss: 0.05226049944758415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.765978217124939, dino_loss: 0.6875, depth_loss: 0.06769794225692749, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4742/10000 [11:58:14<17:07:51, 11.73s/it]
                                                          
{'loss': 1.5935, 'grad_norm': 4.110443115234375, 'learning_rate': 2.918008702685516e-05, 'epoch': 0.04}

 47%|████▋     | 4742/10000 [11:58:14<17:07:51, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7212652564048767, dino_loss: 0.62109375, depth_loss: 0.06425938755273819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9207842350006104, dino_loss: 0.6875, depth_loss: 0.06583996117115021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4743/10000 [11:58:25<16:52:15, 11.55s/it]
                                                          
{'loss': 1.8049, 'grad_norm': 3.97080659866333, 'learning_rate': 2.917193583371316e-05, 'epoch': 0.04}

 47%|████▋     | 4743/10000 [11:58:25<16:52:15, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7072269320487976, dino_loss: 0.67578125, depth_loss: 0.06101232022047043, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9697186350822449, dino_loss: 0.7421875, depth_loss: 0.06500262767076492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4744/10000 [11:58:37<16:50:44, 11.54s/it]
                                                          
{'loss': 2.0668, 'grad_norm': 2.2780838012695312, 'learning_rate': 2.9163784184334535e-05, 'epoch': 0.04}

 47%|████▋     | 4744/10000 [11:58:37<16:50:44, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7163338661193848, dino_loss: 0.671875, depth_loss: 0.055821627378463745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8866351246833801, dino_loss: 0.70703125, depth_loss: 0.06264738738536835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4745/10000 [11:58:49<17:12:49, 11.79s/it]
                                                          
{'loss': 2.124, 'grad_norm': 5.620966911315918, 'learning_rate': 2.915563207961074e-05, 'epoch': 0.04}

 47%|████▋     | 4745/10000 [11:58:49<17:12:49, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7531515955924988, dino_loss: 0.70703125, depth_loss: 0.06271570175886154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8271759748458862, dino_loss: 0.671875, depth_loss: 0.061156779527664185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4746/10000 [11:59:01<17:13:32, 11.80s/it]
                                                          
{'loss': 2.3456, 'grad_norm': 2.6739625930786133, 'learning_rate': 2.9147479520433253e-05, 'epoch': 0.04}

 47%|████▋     | 4746/10000 [11:59:01<17:13:32, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9370008707046509, dino_loss: 0.71875, depth_loss: 0.05861091986298561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8997597098350525, dino_loss: 0.70703125, depth_loss: 0.0862630307674408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4747/10000 [11:59:13<17:13:03, 11.80s/it]
                                                          
{'loss': 2.5724, 'grad_norm': 4.014924049377441, 'learning_rate': 2.9139326507693654e-05, 'epoch': 0.04}

 47%|████▋     | 4747/10000 [11:59:13<17:13:03, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8904512524604797, dino_loss: 0.7421875, depth_loss: 0.09015057981014252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9515542387962341, dino_loss: 0.69921875, depth_loss: 0.06487838923931122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4748/10000 [11:59:24<17:03:14, 11.69s/it]
                                                          
{'loss': 2.1287, 'grad_norm': 5.860874652862549, 'learning_rate': 2.9131173042283528e-05, 'epoch': 0.04}

 47%|████▋     | 4748/10000 [11:59:24<17:03:14, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8091330528259277, dino_loss: 0.7109375, depth_loss: 0.07550521194934845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8701109290122986, dino_loss: 0.671875, depth_loss: 0.08411314338445663, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 47%|████▋     | 4749/10000 [11:59:36<17:08:21, 11.75s/it]
                                                          
{'loss': 2.005, 'grad_norm': 3.568667411804199, 'learning_rate': 2.912301912509452e-05, 'epoch': 0.04}

 47%|████▋     | 4749/10000 [11:59:36<17:08:21, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.941370964050293, dino_loss: 0.65625, depth_loss: 0.047932084649801254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7781484127044678, dino_loss: 0.6953125, depth_loss: 0.07271269708871841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4750/10000 [11:59:48<16:59:24, 11.65s/it]
                                                          
{'loss': 2.4175, 'grad_norm': 2.2223074436187744, 'learning_rate': 2.9114864757018352e-05, 'epoch': 0.04}

 48%|████▊     | 4750/10000 [11:59:48<16:59:24, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8495578169822693, dino_loss: 0.6484375, depth_loss: 0.04703538492321968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8886522650718689, dino_loss: 0.67578125, depth_loss: 0.068836510181427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4751/10000 [11:59:59<16:51:28, 11.56s/it]
                                                          
{'loss': 2.3517, 'grad_norm': 4.047830581665039, 'learning_rate': 2.9106709938946757e-05, 'epoch': 0.04}

 48%|████▊     | 4751/10000 [11:59:59<16:51:28, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7476092576980591, dino_loss: 0.71875, depth_loss: 0.07107852399349213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8928580284118652, dino_loss: 0.703125, depth_loss: 0.07917113602161407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4752/10000 [12:00:11<16:56:23, 11.62s/it]
                                                          
{'loss': 2.1254, 'grad_norm': 1.9510031938552856, 'learning_rate': 2.9098554671771534e-05, 'epoch': 0.04}

 48%|████▊     | 4752/10000 [12:00:11<16:56:23, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8923375606536865, dino_loss: 0.7265625, depth_loss: 0.06320840865373611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7894442081451416, dino_loss: 0.68359375, depth_loss: 0.07155320048332214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4753/10000 [12:00:22<16:44:01, 11.48s/it]
                                                          
{'loss': 1.9233, 'grad_norm': 3.4884912967681885, 'learning_rate': 2.9090398956384535e-05, 'epoch': 0.04}

 48%|████▊     | 4753/10000 [12:00:22<16:44:01, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.919960618019104, dino_loss: 0.6796875, depth_loss: 0.08264341950416565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0059285163879395, dino_loss: 0.6875, depth_loss: 0.066583551466465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4754/10000 [12:00:33<16:34:13, 11.37s/it]
                                                          
{'loss': 1.9944, 'grad_norm': 2.2165746688842773, 'learning_rate': 2.908224279367766e-05, 'epoch': 0.04}

 48%|████▊     | 4754/10000 [12:00:33<16:34:13, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8985106348991394, dino_loss: 0.671875, depth_loss: 0.05761929228901863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9611226320266724, dino_loss: 0.703125, depth_loss: 0.05858591943979263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4755/10000 [12:00:45<16:50:52, 11.56s/it]
                                                          
{'loss': 2.34, 'grad_norm': 3.159351110458374, 'learning_rate': 2.9074086184542843e-05, 'epoch': 0.04}

 48%|████▊     | 4755/10000 [12:00:45<16:50:52, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1348505020141602, dino_loss: 0.75390625, depth_loss: 0.06872156262397766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8309640884399414, dino_loss: 0.66015625, depth_loss: 0.05213654413819313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4756/10000 [12:00:57<17:01:48, 11.69s/it]
                                                          
{'loss': 2.4745, 'grad_norm': 3.0804431438446045, 'learning_rate': 2.9065929129872094e-05, 'epoch': 0.04}

 48%|████▊     | 4756/10000 [12:00:57<17:01:48, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7523272037506104, dino_loss: 0.66796875, depth_loss: 0.04822201654314995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9660752415657043, dino_loss: 0.72265625, depth_loss: 0.05671345442533493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4757/10000 [12:01:09<17:06:23, 11.75s/it]
                                                          
{'loss': 2.1904, 'grad_norm': 4.14511775970459, 'learning_rate': 2.9057771630557444e-05, 'epoch': 0.04}

 48%|████▊     | 4757/10000 [12:01:09<17:06:23, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8942812085151672, dino_loss: 0.7265625, depth_loss: 0.05406618118286133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9118615388870239, dino_loss: 0.6484375, depth_loss: 0.051538411527872086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4758/10000 [12:01:21<17:16:13, 11.86s/it]
                                                          
{'loss': 2.4292, 'grad_norm': 2.642125129699707, 'learning_rate': 2.904961368749099e-05, 'epoch': 0.04}

 48%|████▊     | 4758/10000 [12:01:21<17:16:13, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8532785177230835, dino_loss: 0.70703125, depth_loss: 0.049801863729953766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.847166895866394, dino_loss: 0.7421875, depth_loss: 0.07262443006038666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4759/10000 [12:01:33<17:25:05, 11.96s/it]
                                                          
{'loss': 2.0509, 'grad_norm': 4.150062561035156, 'learning_rate': 2.9041455301564874e-05, 'epoch': 0.04}

 48%|████▊     | 4759/10000 [12:01:33<17:25:05, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9069331884384155, dino_loss: 0.6875, depth_loss: 0.05331416428089142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7592742443084717, dino_loss: 0.64453125, depth_loss: 0.05399699509143829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4760/10000 [12:01:44<17:02:17, 11.71s/it]
                                                          
{'loss': 1.5894, 'grad_norm': 3.4167580604553223, 'learning_rate': 2.9033296473671278e-05, 'epoch': 0.04}

 48%|████▊     | 4760/10000 [12:01:44<17:02:17, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.895674467086792, dino_loss: 0.71484375, depth_loss: 0.06686103343963623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9214187264442444, dino_loss: 0.6953125, depth_loss: 0.056504808366298676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4761/10000 [12:01:56<16:57:36, 11.65s/it]
                                                          
{'loss': 2.2169, 'grad_norm': 3.3076388835906982, 'learning_rate': 2.9025137204702448e-05, 'epoch': 0.04}

 48%|████▊     | 4761/10000 [12:01:56<16:57:36, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8510735034942627, dino_loss: 0.734375, depth_loss: 0.05402153730392456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1494667530059814, dino_loss: 0.70703125, depth_loss: 0.0695873498916626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4762/10000 [12:02:07<16:50:05, 11.57s/it]
                                                          
{'loss': 2.1816, 'grad_norm': 5.186434745788574, 'learning_rate': 2.9016977495550657e-05, 'epoch': 0.04}

 48%|████▊     | 4762/10000 [12:02:07<16:50:05, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9237691760063171, dino_loss: 0.69140625, depth_loss: 0.059345655143260956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9704862833023071, dino_loss: 0.6953125, depth_loss: 0.05269502475857735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4763/10000 [12:02:18<16:41:50, 11.48s/it]
                                                          
{'loss': 2.01, 'grad_norm': 3.0735435485839844, 'learning_rate': 2.900881734710826e-05, 'epoch': 0.04}

 48%|████▊     | 4763/10000 [12:02:18<16:41:50, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9108697175979614, dino_loss: 0.6796875, depth_loss: 0.06554034352302551, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8895906209945679, dino_loss: 0.703125, depth_loss: 0.06183332949876785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4764/10000 [12:02:30<16:35:57, 11.41s/it]
                                                          
{'loss': 2.1548, 'grad_norm': 8.321554183959961, 'learning_rate': 2.900065676026762e-05, 'epoch': 0.04}

 48%|████▊     | 4764/10000 [12:02:30<16:35:57, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8138394355773926, dino_loss: 0.59765625, depth_loss: 0.04647193104028702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.795221209526062, dino_loss: 0.66796875, depth_loss: 0.04705074429512024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4765/10000 [12:02:41<16:31:58, 11.37s/it]
                                                          
{'loss': 1.926, 'grad_norm': 3.9182732105255127, 'learning_rate': 2.8992495735921165e-05, 'epoch': 0.04}

 48%|████▊     | 4765/10000 [12:02:41<16:31:58, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8769490122795105, dino_loss: 0.71875, depth_loss: 0.07869458943605423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.618389368057251, dino_loss: 0.61328125, depth_loss: 0.04933976009488106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4766/10000 [12:02:53<16:39:39, 11.46s/it]
                                                          
{'loss': 1.6696, 'grad_norm': 3.1436195373535156, 'learning_rate': 2.898433427496138e-05, 'epoch': 0.04}

 48%|████▊     | 4766/10000 [12:02:53<16:39:39, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9041826128959656, dino_loss: 0.69921875, depth_loss: 0.06738264858722687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9371662139892578, dino_loss: 0.65625, depth_loss: 0.06702342629432678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4767/10000 [12:03:04<16:38:06, 11.44s/it]
                                                          
{'loss': 2.2499, 'grad_norm': 4.488739967346191, 'learning_rate': 2.8976172378280797e-05, 'epoch': 0.04}

 48%|████▊     | 4767/10000 [12:03:04<16:38:06, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.798517644405365, dino_loss: 0.68359375, depth_loss: 0.05370321869850159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.7505128979682922, dino_loss: 0.6640625, depth_loss: 0.04316691681742668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4768/10000 [12:03:16<17:00:59, 11.71s/it]
                                                          
{'loss': 2.1763, 'grad_norm': 4.233646392822266, 'learning_rate': 2.8968010046771975e-05, 'epoch': 0.04}

 48%|████▊     | 4768/10000 [12:03:16<17:00:59, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8361588716506958, dino_loss: 0.71484375, depth_loss: 0.06148065626621246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6926881074905396, dino_loss: 0.578125, depth_loss: 0.04088173061609268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4769/10000 [12:03:28<17:07:17, 11.78s/it]
                                                          
{'loss': 2.244, 'grad_norm': 2.148001194000244, 'learning_rate': 2.8959847281327542e-05, 'epoch': 0.04}

 48%|████▊     | 4769/10000 [12:03:28<17:07:17, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8633061647415161, dino_loss: 0.68359375, depth_loss: 0.057030804455280304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9354860782623291, dino_loss: 0.71875, depth_loss: 0.0665358304977417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4770/10000 [12:03:40<17:15:00, 11.87s/it]
                                                          
{'loss': 2.4855, 'grad_norm': 3.019772529602051, 'learning_rate': 2.8951684082840163e-05, 'epoch': 0.04}

 48%|████▊     | 4770/10000 [12:03:40<17:15:00, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8891310691833496, dino_loss: 0.69140625, depth_loss: 0.06321833282709122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0384907722473145, dino_loss: 0.6953125, depth_loss: 0.06904647499322891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4771/10000 [12:03:52<17:04:42, 11.76s/it]
                                                          
{'loss': 2.1622, 'grad_norm': 2.9217464923858643, 'learning_rate': 2.8943520452202555e-05, 'epoch': 0.04}

 48%|████▊     | 4771/10000 [12:03:52<17:04:42, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8661456108093262, dino_loss: 0.65234375, depth_loss: 0.05783013999462128, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8914802670478821, dino_loss: 0.7265625, depth_loss: 0.06382422894239426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4772/10000 [12:04:04<16:58:52, 11.69s/it]
                                                          
{'loss': 1.9455, 'grad_norm': 2.5013680458068848, 'learning_rate': 2.8935356390307477e-05, 'epoch': 0.04}

 48%|████▊     | 4772/10000 [12:04:04<16:58:52, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9810876846313477, dino_loss: 0.74609375, depth_loss: 0.05359283462166786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8060345649719238, dino_loss: 0.703125, depth_loss: 0.06955434381961823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4773/10000 [12:04:15<16:52:57, 11.63s/it]
                                                          
{'loss': 2.2764, 'grad_norm': 3.360123872756958, 'learning_rate': 2.8927191898047745e-05, 'epoch': 0.04}

 48%|████▊     | 4773/10000 [12:04:15<16:52:57, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9945050477981567, dino_loss: 0.6640625, depth_loss: 0.05699560046195984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9598804712295532, dino_loss: 0.71875, depth_loss: 0.06196984648704529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4774/10000 [12:04:26<16:39:22, 11.47s/it]
                                                          
{'loss': 2.2106, 'grad_norm': 2.849170684814453, 'learning_rate': 2.891902697631621e-05, 'epoch': 0.04}

 48%|████▊     | 4774/10000 [12:04:26<16:39:22, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8687862157821655, dino_loss: 0.73828125, depth_loss: 0.059758611023426056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8961451053619385, dino_loss: 0.6796875, depth_loss: 0.06382326036691666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4775/10000 [12:04:37<16:34:10, 11.42s/it]
                                                          
{'loss': 1.8598, 'grad_norm': 3.233994483947754, 'learning_rate': 2.8910861626005776e-05, 'epoch': 0.04}

 48%|████▊     | 4775/10000 [12:04:37<16:34:10, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.683949887752533, dino_loss: 0.703125, depth_loss: 0.054647140204906464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8678796291351318, dino_loss: 0.71484375, depth_loss: 0.07356104999780655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4776/10000 [12:04:49<16:52:21, 11.63s/it]
                                                          
{'loss': 2.4407, 'grad_norm': 3.193922281265259, 'learning_rate': 2.8902695848009397e-05, 'epoch': 0.04}

 48%|████▊     | 4776/10000 [12:04:49<16:52:21, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9809343814849854, dino_loss: 0.7109375, depth_loss: 0.0718563124537468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9691563844680786, dino_loss: 0.72265625, depth_loss: 0.05562938004732132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4777/10000 [12:05:01<16:57:55, 11.69s/it]
                                                          
{'loss': 2.6477, 'grad_norm': 2.5760834217071533, 'learning_rate': 2.8894529643220064e-05, 'epoch': 0.04}

 48%|████▊     | 4777/10000 [12:05:01<16:57:55, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9000004529953003, dino_loss: 0.703125, depth_loss: 0.09077384322881699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.878079354763031, dino_loss: 0.71484375, depth_loss: 0.06595826148986816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4778/10000 [12:05:13<16:50:21, 11.61s/it]
                                                          
{'loss': 2.3219, 'grad_norm': 3.278284788131714, 'learning_rate': 2.8886363012530826e-05, 'epoch': 0.04}

 48%|████▊     | 4778/10000 [12:05:13<16:50:21, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7759963870048523, dino_loss: 0.7109375, depth_loss: 0.06839466094970703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6420429944992065, dino_loss: 0.59375, depth_loss: 0.05470390245318413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4779/10000 [12:05:24<16:45:23, 11.55s/it]
                                                          
{'loss': 1.6783, 'grad_norm': 2.0642175674438477, 'learning_rate': 2.887819595683477e-05, 'epoch': 0.04}

 48%|████▊     | 4779/10000 [12:05:24<16:45:23, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.790669858455658, dino_loss: 0.69140625, depth_loss: 0.06974655389785767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.877671480178833, dino_loss: 0.6875, depth_loss: 0.06361392140388489, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4780/10000 [12:05:36<16:51:14, 11.62s/it]
                                                          
{'loss': 2.3101, 'grad_norm': 3.1330041885375977, 'learning_rate': 2.8870028477025042e-05, 'epoch': 0.04}

 48%|████▊     | 4780/10000 [12:05:36<16:51:14, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8491586446762085, dino_loss: 0.6875, depth_loss: 0.06917507201433182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8174091577529907, dino_loss: 0.6953125, depth_loss: 0.06699299067258835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4781/10000 [12:05:48<16:58:33, 11.71s/it]
                                                          
{'loss': 2.2989, 'grad_norm': 2.919257879257202, 'learning_rate': 2.886186057399481e-05, 'epoch': 0.04}

 48%|████▊     | 4781/10000 [12:05:48<16:58:33, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0715234279632568, dino_loss: 0.7421875, depth_loss: 0.06855808198451996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.879747211933136, dino_loss: 0.671875, depth_loss: 0.049298401921987534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4782/10000 [12:05:59<16:55:49, 11.68s/it]
                                                          
{'loss': 2.4103, 'grad_norm': 3.4763259887695312, 'learning_rate': 2.8853692248637315e-05, 'epoch': 0.04}

 48%|████▊     | 4782/10000 [12:05:59<16:55:49, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8448860049247742, dino_loss: 0.6328125, depth_loss: 0.05381475389003754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6433478593826294, dino_loss: 0.6015625, depth_loss: 0.05586335435509682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4783/10000 [12:06:11<16:52:56, 11.65s/it]
                                                          
{'loss': 1.8246, 'grad_norm': 2.551605701446533, 'learning_rate': 2.884552350184582e-05, 'epoch': 0.04}

 48%|████▊     | 4783/10000 [12:06:11<16:52:56, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7973978519439697, dino_loss: 0.703125, depth_loss: 0.06998755037784576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7658345103263855, dino_loss: 0.640625, depth_loss: 0.06327705085277557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4784/10000 [12:06:22<16:41:26, 11.52s/it]
                                                          
{'loss': 1.5272, 'grad_norm': 1.9006192684173584, 'learning_rate': 2.883735433451367e-05, 'epoch': 0.04}

 48%|████▊     | 4784/10000 [12:06:22<16:41:26, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8566697835922241, dino_loss: 0.67578125, depth_loss: 0.0599641352891922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6940209865570068, dino_loss: 0.6484375, depth_loss: 0.04458419233560562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4785/10000 [12:06:34<16:56:48, 11.70s/it]
                                                          
{'loss': 2.2556, 'grad_norm': 3.8372483253479004, 'learning_rate': 2.8829184747534214e-05, 'epoch': 0.04}

 48%|████▊     | 4785/10000 [12:06:34<16:56:48, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9547609090805054, dino_loss: 0.6640625, depth_loss: 0.05405618995428085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8618574142456055, dino_loss: 0.71875, depth_loss: 0.061500146985054016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4786/10000 [12:06:46<16:47:44, 11.60s/it]
                                                          
{'loss': 2.1941, 'grad_norm': 3.2144157886505127, 'learning_rate': 2.8821014741800873e-05, 'epoch': 0.04}

 48%|████▊     | 4786/10000 [12:06:46<16:47:44, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.7803946733474731, dino_loss: 0.68359375, depth_loss: 0.06351355463266373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8677148222923279, dino_loss: 0.671875, depth_loss: 0.05568332225084305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4787/10000 [12:06:57<16:44:24, 11.56s/it]
                                                          
{'loss': 1.6919, 'grad_norm': 3.3725547790527344, 'learning_rate': 2.88128443182071e-05, 'epoch': 0.04}

 48%|████▊     | 4787/10000 [12:06:57<16:44:24, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9390760660171509, dino_loss: 0.74609375, depth_loss: 0.06624194979667664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9408565759658813, dino_loss: 0.640625, depth_loss: 0.05267275869846344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4788/10000 [12:07:09<16:52:23, 11.65s/it]
                                                          
{'loss': 2.4548, 'grad_norm': 2.1169590950012207, 'learning_rate': 2.880467347764641e-05, 'epoch': 0.04}

 48%|████▊     | 4788/10000 [12:07:09<16:52:23, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8201987147331238, dino_loss: 0.71484375, depth_loss: 0.08344991505146027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.009023666381836, dino_loss: 0.6640625, depth_loss: 0.060055505484342575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4789/10000 [12:07:20<16:40:52, 11.52s/it]
                                                          
{'loss': 1.798, 'grad_norm': 2.614859104156494, 'learning_rate': 2.879650222101235e-05, 'epoch': 0.04}

 48%|████▊     | 4789/10000 [12:07:20<16:40:52, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8577067852020264, dino_loss: 0.72265625, depth_loss: 0.060880761593580246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6919960975646973, dino_loss: 0.6796875, depth_loss: 0.0708211362361908, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4790/10000 [12:07:32<16:43:00, 11.55s/it]
                                                          
{'loss': 1.9271, 'grad_norm': 3.285728693008423, 'learning_rate': 2.878833054919851e-05, 'epoch': 0.04}

 48%|████▊     | 4790/10000 [12:07:32<16:43:00, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8465860486030579, dino_loss: 0.69140625, depth_loss: 0.06614767014980316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8576970100402832, dino_loss: 0.69921875, depth_loss: 0.05937361717224121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4791/10000 [12:07:43<16:37:32, 11.49s/it]
                                                          
{'loss': 2.1746, 'grad_norm': 2.196812868118286, 'learning_rate': 2.8780158463098538e-05, 'epoch': 0.04}

 48%|████▊     | 4791/10000 [12:07:43<16:37:32, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7797266244888306, dino_loss: 0.7109375, depth_loss: 0.06960253417491913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5062867403030396, dino_loss: 0.6171875, depth_loss: 0.04109499230980873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4792/10000 [12:07:55<16:43:16, 11.56s/it]
                                                          
{'loss': 1.3994, 'grad_norm': 3.577982187271118, 'learning_rate': 2.8771985963606128e-05, 'epoch': 0.04}

 48%|████▊     | 4792/10000 [12:07:55<16:43:16, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9442672729492188, dino_loss: 0.68359375, depth_loss: 0.06655019521713257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8723335266113281, dino_loss: 0.73046875, depth_loss: 0.07095503062009811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4793/10000 [12:08:07<16:46:21, 11.60s/it]
                                                          
{'loss': 2.4786, 'grad_norm': 1.6286731958389282, 'learning_rate': 2.8763813051614996e-05, 'epoch': 0.04}

 48%|████▊     | 4793/10000 [12:08:07<16:46:21, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8771761655807495, dino_loss: 0.65234375, depth_loss: 0.06092908978462219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7867556214332581, dino_loss: 0.6796875, depth_loss: 0.07238108664751053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4794/10000 [12:08:19<17:07:35, 11.84s/it]
                                                          
{'loss': 2.2949, 'grad_norm': 1.8249706029891968, 'learning_rate': 2.875563972801893e-05, 'epoch': 0.04}

 48%|████▊     | 4794/10000 [12:08:19<17:07:35, 11.84s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 1.086172103881836, dino_loss: 0.70703125, depth_loss: 0.08714494109153748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9136993885040283, dino_loss: 0.73828125, depth_loss: 0.07541383057832718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4795/10000 [12:08:31<17:18:35, 11.97s/it]
                                                          
{'loss': 2.3133, 'grad_norm': 8.87211799621582, 'learning_rate': 2.874746599371175e-05, 'epoch': 0.04}

 48%|████▊     | 4795/10000 [12:08:31<17:18:35, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9162817001342773, dino_loss: 0.69921875, depth_loss: 0.054408758878707886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7587219476699829, dino_loss: 0.6875, depth_loss: 0.05994571000337601, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4796/10000 [12:08:43<17:04:30, 11.81s/it]
                                                          
{'loss': 2.1586, 'grad_norm': 3.996387481689453, 'learning_rate': 2.8739291849587324e-05, 'epoch': 0.04}

 48%|████▊     | 4796/10000 [12:08:43<17:04:30, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.47710365056991577, dino_loss: 0.56640625, depth_loss: 0.04034881666302681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7461108565330505, dino_loss: 0.6953125, depth_loss: 0.06097021698951721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4797/10000 [12:08:55<17:02:11, 11.79s/it]
                                                          
{'loss': 1.6262, 'grad_norm': 1.6374413967132568, 'learning_rate': 2.8731117296539557e-05, 'epoch': 0.04}

 48%|████▊     | 4797/10000 [12:08:55<17:02:11, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7941973209381104, dino_loss: 0.68359375, depth_loss: 0.058436229825019836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9285206198692322, dino_loss: 0.7265625, depth_loss: 0.07194075733423233, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4798/10000 [12:09:06<16:56:00, 11.72s/it]
                                                          
{'loss': 2.2597, 'grad_norm': 2.7373743057250977, 'learning_rate': 2.8722942335462415e-05, 'epoch': 0.04}

 48%|████▊     | 4798/10000 [12:09:06<16:56:00, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7536100149154663, dino_loss: 0.71875, depth_loss: 0.07044652104377747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6362465023994446, dino_loss: 0.63671875, depth_loss: 0.05464089661836624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4799/10000 [12:09:18<17:09:42, 11.88s/it]
                                                          
{'loss': 2.2141, 'grad_norm': 2.316030263900757, 'learning_rate': 2.87147669672499e-05, 'epoch': 0.04}

 48%|████▊     | 4799/10000 [12:09:18<17:09:42, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8456628322601318, dino_loss: 0.62109375, depth_loss: 0.05532371997833252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8630921840667725, dino_loss: 0.6171875, depth_loss: 0.05047861859202385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4800/10000 [12:09:30<17:09:52, 11.88s/it]
                                                          
{'loss': 2.1043, 'grad_norm': 6.678574562072754, 'learning_rate': 2.870659119279605e-05, 'epoch': 0.04}

 48%|████▊     | 4800/10000 [12:09:30<17:09:52, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.772952139377594, dino_loss: 0.65625, depth_loss: 0.05812844634056091, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8673794269561768, dino_loss: 0.72265625, depth_loss: 0.08956736326217651, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4801/10000 [12:09:42<17:04:10, 11.82s/it]
                                                          
{'loss': 1.8794, 'grad_norm': 2.726940155029297, 'learning_rate': 2.8698415012994967e-05, 'epoch': 0.04}

 48%|████▊     | 4801/10000 [12:09:42<17:04:10, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7159127593040466, dino_loss: 0.65234375, depth_loss: 0.050832487642765045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7650890350341797, dino_loss: 0.7109375, depth_loss: 0.07539696991443634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4802/10000 [12:09:54<16:58:59, 11.76s/it]
                                                          
{'loss': 2.1206, 'grad_norm': 3.7419471740722656, 'learning_rate': 2.8690238428740772e-05, 'epoch': 0.04}

 48%|████▊     | 4802/10000 [12:09:54<16:58:59, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9349752068519592, dino_loss: 0.73828125, depth_loss: 0.06764665246009827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7448825836181641, dino_loss: 0.6875, depth_loss: 0.06041104346513748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4803/10000 [12:10:05<16:44:48, 11.60s/it]
                                                          
{'loss': 1.8895, 'grad_norm': 4.588747501373291, 'learning_rate': 2.868206144092765e-05, 'epoch': 0.04}

 48%|████▊     | 4803/10000 [12:10:05<16:44:48, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8713990449905396, dino_loss: 0.72265625, depth_loss: 0.06045777350664139, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6586328744888306, dino_loss: 0.703125, depth_loss: 0.05341044068336487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4804/10000 [12:10:17<16:51:35, 11.68s/it]
                                                          
{'loss': 2.2909, 'grad_norm': 3.88322377204895, 'learning_rate': 2.8673884050449827e-05, 'epoch': 0.04}

 48%|████▊     | 4804/10000 [12:10:17<16:51:35, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.832680344581604, dino_loss: 0.67578125, depth_loss: 0.054164692759513855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7715022563934326, dino_loss: 0.71875, depth_loss: 0.07310125976800919, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4805/10000 [12:10:29<17:08:56, 11.88s/it]
                                                          
{'loss': 2.0767, 'grad_norm': 2.196803331375122, 'learning_rate': 2.8665706258201574e-05, 'epoch': 0.04}

 48%|████▊     | 4805/10000 [12:10:29<17:08:56, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9523240327835083, dino_loss: 0.703125, depth_loss: 0.05677182972431183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7143122553825378, dino_loss: 0.64453125, depth_loss: 0.05318101868033409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4806/10000 [12:10:41<17:05:04, 11.84s/it]
                                                          
{'loss': 2.1376, 'grad_norm': 3.2628333568573, 'learning_rate': 2.8657528065077187e-05, 'epoch': 0.04}

 48%|████▊     | 4806/10000 [12:10:41<17:05:04, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6649684906005859, dino_loss: 0.6171875, depth_loss: 0.05583937466144562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9033359885215759, dino_loss: 0.703125, depth_loss: 0.05425312742590904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4807/10000 [12:10:52<16:56:15, 11.74s/it]
                                                          
{'loss': 1.6931, 'grad_norm': 3.2791621685028076, 'learning_rate': 2.8649349471971025e-05, 'epoch': 0.04}

 48%|████▊     | 4807/10000 [12:10:52<16:56:15, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9681718349456787, dino_loss: 0.69140625, depth_loss: 0.05841800943017006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8455612659454346, dino_loss: 0.6953125, depth_loss: 0.07065150886774063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4808/10000 [12:11:03<16:41:45, 11.58s/it]
                                                          
{'loss': 2.3658, 'grad_norm': 2.3719143867492676, 'learning_rate': 2.86411704797775e-05, 'epoch': 0.04}

 48%|████▊     | 4808/10000 [12:11:03<16:41:45, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6669530272483826, dino_loss: 0.65625, depth_loss: 0.06103985011577606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7700415849685669, dino_loss: 0.6953125, depth_loss: 0.06199732422828674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4809/10000 [12:11:17<17:23:15, 12.06s/it]
                                                          
{'loss': 1.9908, 'grad_norm': 2.449040412902832, 'learning_rate': 2.8632991089391053e-05, 'epoch': 0.04}

 48%|████▊     | 4809/10000 [12:11:17<17:23:15, 12.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.827802836894989, dino_loss: 0.6796875, depth_loss: 0.0690765231847763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.810207724571228, dino_loss: 0.6484375, depth_loss: 0.060541972517967224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4810/10000 [12:11:31<18:10:42, 12.61s/it]
                                                          
{'loss': 2.4187, 'grad_norm': 5.093130588531494, 'learning_rate': 2.862481130170615e-05, 'epoch': 0.04}

 48%|████▊     | 4810/10000 [12:11:31<18:10:42, 12.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8212740421295166, dino_loss: 0.68359375, depth_loss: 0.05902905389666557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7162997722625732, dino_loss: 0.625, depth_loss: 0.05208588391542435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4811/10000 [12:11:42<17:41:28, 12.27s/it]
                                                          
{'loss': 1.7209, 'grad_norm': 3.6478939056396484, 'learning_rate': 2.8616631117617336e-05, 'epoch': 0.04}

 48%|████▊     | 4811/10000 [12:11:42<17:41:28, 12.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 1
seg_loss: 0.8210653066635132, dino_loss: 0.671875, depth_loss: 0.07248349487781525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9217520952224731, dino_loss: 0.6640625, depth_loss: 0.06399320811033249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4812/10000 [12:11:53<17:18:47, 12.01s/it]
                                                          
{'loss': 2.1629, 'grad_norm': 3.0439937114715576, 'learning_rate': 2.860845053801919e-05, 'epoch': 0.04}

 48%|████▊     | 4812/10000 [12:11:53<17:18:47, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9183595180511475, dino_loss: 0.703125, depth_loss: 0.06924902647733688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7873854637145996, dino_loss: 0.703125, depth_loss: 0.0668257623910904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4813/10000 [12:12:06<17:22:56, 12.06s/it]
                                                          
{'loss': 2.7448, 'grad_norm': 4.163026332855225, 'learning_rate': 2.8600269563806302e-05, 'epoch': 0.04}

 48%|████▊     | 4813/10000 [12:12:06<17:22:56, 12.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8263583779335022, dino_loss: 0.7421875, depth_loss: 0.06936891376972198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8221441507339478, dino_loss: 0.671875, depth_loss: 0.061162069439888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4814/10000 [12:12:17<17:11:01, 11.93s/it]
                                                          
{'loss': 2.185, 'grad_norm': 4.233515739440918, 'learning_rate': 2.859208819587336e-05, 'epoch': 0.04}

 48%|████▊     | 4814/10000 [12:12:17<17:11:01, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8473538160324097, dino_loss: 0.6796875, depth_loss: 0.06247124820947647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.5739296078681946, dino_loss: 0.734375, depth_loss: 0.06375551968812943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4815/10000 [12:12:29<17:03:44, 11.85s/it]
                                                          
{'loss': 2.3008, 'grad_norm': 2.311962366104126, 'learning_rate': 2.8583906435115047e-05, 'epoch': 0.04}

 48%|████▊     | 4815/10000 [12:12:29<17:03:44, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8853378891944885, dino_loss: 0.7265625, depth_loss: 0.07055573165416718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0838501453399658, dino_loss: 0.734375, depth_loss: 0.05632046237587929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4816/10000 [12:12:41<17:08:38, 11.91s/it]
                                                          
{'loss': 2.551, 'grad_norm': 5.884310245513916, 'learning_rate': 2.8575724282426118e-05, 'epoch': 0.04}

 48%|████▊     | 4816/10000 [12:12:41<17:08:38, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.02400803565979, dino_loss: 0.6796875, depth_loss: 0.06342598795890808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8820284605026245, dino_loss: 0.6953125, depth_loss: 0.07356580346822739, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4817/10000 [12:12:52<16:56:52, 11.77s/it]
                                                          
{'loss': 2.2043, 'grad_norm': 3.0550756454467773, 'learning_rate': 2.856754173870136e-05, 'epoch': 0.04}

 48%|████▊     | 4817/10000 [12:12:52<16:56:52, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9729257225990295, dino_loss: 0.703125, depth_loss: 0.06136348471045494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0637235641479492, dino_loss: 0.69921875, depth_loss: 0.0744643583893776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4818/10000 [12:13:04<16:46:10, 11.65s/it]
                                                          
{'loss': 2.1844, 'grad_norm': 3.16469669342041, 'learning_rate': 2.8559358804835597e-05, 'epoch': 0.04}

 48%|████▊     | 4818/10000 [12:13:04<16:46:10, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.743999719619751, dino_loss: 0.671875, depth_loss: 0.05682523176074028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 1.0063568353652954, dino_loss: 0.7109375, depth_loss: 0.05888305604457855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4819/10000 [12:13:15<16:45:27, 11.64s/it]
                                                          
{'loss': 2.0613, 'grad_norm': 2.8099453449249268, 'learning_rate': 2.85511754817237e-05, 'epoch': 0.04}

 48%|████▊     | 4819/10000 [12:13:15<16:45:27, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8902472257614136, dino_loss: 0.66796875, depth_loss: 0.06646297127008438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9364044666290283, dino_loss: 0.68359375, depth_loss: 0.06919123977422714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4820/10000 [12:13:27<16:32:49, 11.50s/it]
                                                          
{'loss': 1.718, 'grad_norm': 3.5853559970855713, 'learning_rate': 2.8542991770260608e-05, 'epoch': 0.04}

 48%|████▊     | 4820/10000 [12:13:27<16:32:49, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.856978714466095, dino_loss: 0.7421875, depth_loss: 0.07057899981737137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8682348728179932, dino_loss: 0.6953125, depth_loss: 0.06256921589374542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4821/10000 [12:13:38<16:30:28, 11.47s/it]
                                                          
{'loss': 2.22, 'grad_norm': 2.242112159729004, 'learning_rate': 2.853480767134125e-05, 'epoch': 0.04}

 48%|████▊     | 4821/10000 [12:13:38<16:30:28, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8199915885925293, dino_loss: 0.703125, depth_loss: 0.06788274645805359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.825366199016571, dino_loss: 0.7421875, depth_loss: 0.05792134627699852, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4822/10000 [12:13:49<16:27:14, 11.44s/it]
                                                          
{'loss': 2.1922, 'grad_norm': 2.1495604515075684, 'learning_rate': 2.852662318586064e-05, 'epoch': 0.04}

 48%|████▊     | 4822/10000 [12:13:49<16:27:14, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7109927535057068, dino_loss: 0.64453125, depth_loss: 0.04664267972111702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8882063627243042, dino_loss: 0.71484375, depth_loss: 0.050879329442977905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4823/10000 [12:14:01<16:27:00, 11.44s/it]
                                                          
{'loss': 1.9758, 'grad_norm': 4.385153770446777, 'learning_rate': 2.8518438314713823e-05, 'epoch': 0.04}

 48%|████▊     | 4823/10000 [12:14:01<16:27:00, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8062511682510376, dino_loss: 0.70703125, depth_loss: 0.0702907145023346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.813602089881897, dino_loss: 0.63671875, depth_loss: 0.05497799068689346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4824/10000 [12:14:12<16:13:59, 11.29s/it]
                                                          
{'loss': 1.5633, 'grad_norm': 2.472198247909546, 'learning_rate': 2.851025305879589e-05, 'epoch': 0.04}

 48%|████▊     | 4824/10000 [12:14:12<16:13:59, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 1.0464777946472168, dino_loss: 0.7421875, depth_loss: 0.06941869854927063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7857077121734619, dino_loss: 0.69140625, depth_loss: 0.062666155397892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4825/10000 [12:14:23<16:11:41, 11.27s/it]
                                                          
{'loss': 1.8448, 'grad_norm': 3.204946756362915, 'learning_rate': 2.850206741900195e-05, 'epoch': 0.04}

 48%|████▊     | 4825/10000 [12:14:23<16:11:41, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7426435947418213, dino_loss: 0.6875, depth_loss: 0.0677715316414833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.021632194519043, dino_loss: 0.74609375, depth_loss: 0.07578162848949432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4826/10000 [12:14:34<16:07:34, 11.22s/it]
                                                          
{'loss': 2.2684, 'grad_norm': 2.3729214668273926, 'learning_rate': 2.8493881396227186e-05, 'epoch': 0.04}

 48%|████▊     | 4826/10000 [12:14:34<16:07:34, 11.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.903840184211731, dino_loss: 0.68359375, depth_loss: 0.06818878650665283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7010653018951416, dino_loss: 0.6640625, depth_loss: 0.05431085079908371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4827/10000 [12:14:46<16:20:48, 11.38s/it]
                                                          
{'loss': 2.421, 'grad_norm': 2.533449649810791, 'learning_rate': 2.8485694991366807e-05, 'epoch': 0.04}

 48%|████▊     | 4827/10000 [12:14:46<16:20:48, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.074413776397705, dino_loss: 0.76171875, depth_loss: 0.07142477482557297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9807748794555664, dino_loss: 0.68359375, depth_loss: 0.06408889591693878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4828/10000 [12:14:57<16:16:24, 11.33s/it]
                                                          
{'loss': 2.3642, 'grad_norm': 4.9456915855407715, 'learning_rate': 2.8477508205316055e-05, 'epoch': 0.04}

 48%|████▊     | 4828/10000 [12:14:57<16:16:24, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9145740866661072, dino_loss: 0.71875, depth_loss: 0.08851209282875061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7856149673461914, dino_loss: 0.76171875, depth_loss: 0.06328427791595459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4829/10000 [12:15:08<16:08:59, 11.24s/it]
                                                          
{'loss': 1.8863, 'grad_norm': 3.4706690311431885, 'learning_rate': 2.8469321038970244e-05, 'epoch': 0.04}

 48%|████▊     | 4829/10000 [12:15:08<16:08:59, 11.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8745489120483398, dino_loss: 0.67578125, depth_loss: 0.05254210904240608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8223550319671631, dino_loss: 0.71484375, depth_loss: 0.07354386150836945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4830/10000 [12:15:19<16:07:30, 11.23s/it]
                                                          
{'loss': 2.0937, 'grad_norm': 2.683340311050415, 'learning_rate': 2.846113349322469e-05, 'epoch': 0.04}

 48%|████▊     | 4830/10000 [12:15:19<16:07:30, 11.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0213643312454224, dino_loss: 0.703125, depth_loss: 0.06426828354597092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7803978323936462, dino_loss: 0.62109375, depth_loss: 0.054194752126932144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4831/10000 [12:15:31<16:09:57, 11.26s/it]
                                                          
{'loss': 1.7448, 'grad_norm': 4.549906253814697, 'learning_rate': 2.8452945568974792e-05, 'epoch': 0.04}

 48%|████▊     | 4831/10000 [12:15:31<16:09:57, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0300453901290894, dino_loss: 0.6640625, depth_loss: 0.04838709533214569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.772241473197937, dino_loss: 0.67578125, depth_loss: 0.05337256193161011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4832/10000 [12:15:42<16:17:35, 11.35s/it]
                                                          
{'loss': 2.2335, 'grad_norm': 3.226957321166992, 'learning_rate': 2.844475726711595e-05, 'epoch': 0.04}

 48%|████▊     | 4832/10000 [12:15:42<16:17:35, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8539770841598511, dino_loss: 0.6953125, depth_loss: 0.059127308428287506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9288012981414795, dino_loss: 0.69140625, depth_loss: 0.06029326096177101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4833/10000 [12:15:54<16:27:42, 11.47s/it]
                                                          
{'loss': 2.0388, 'grad_norm': 6.152693271636963, 'learning_rate': 2.843656858854364e-05, 'epoch': 0.04}

 48%|████▊     | 4833/10000 [12:15:54<16:27:42, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6539864540100098, dino_loss: 0.65234375, depth_loss: 0.06411398202180862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7721379399299622, dino_loss: 0.71484375, depth_loss: 0.05304983630776405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4834/10000 [12:16:06<16:49:12, 11.72s/it]
                                                          
{'loss': 2.1753, 'grad_norm': 3.3068082332611084, 'learning_rate': 2.8428379534153355e-05, 'epoch': 0.04}

 48%|████▊     | 4834/10000 [12:16:06<16:49:12, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9486547708511353, dino_loss: 0.6953125, depth_loss: 0.05537845939397812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5964285135269165, dino_loss: 0.59375, depth_loss: 0.0512622594833374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4835/10000 [12:16:18<16:52:53, 11.77s/it]
                                                          
{'loss': 2.2082, 'grad_norm': 2.976961851119995, 'learning_rate': 2.8420190104840628e-05, 'epoch': 0.04}

 48%|████▊     | 4835/10000 [12:16:18<16:52:53, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8390606641769409, dino_loss: 0.63671875, depth_loss: 0.055392563343048096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7295910120010376, dino_loss: 0.625, depth_loss: 0.051193706691265106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4836/10000 [12:16:29<16:44:28, 11.67s/it]
                                                          
{'loss': 1.8294, 'grad_norm': 4.439417362213135, 'learning_rate': 2.8412000301501064e-05, 'epoch': 0.04}

 48%|████▊     | 4836/10000 [12:16:29<16:44:28, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7560367584228516, dino_loss: 0.7265625, depth_loss: 0.07476247102022171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.847801685333252, dino_loss: 0.640625, depth_loss: 0.047395214438438416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4837/10000 [12:16:42<16:57:35, 11.83s/it]
                                                          
{'loss': 2.2153, 'grad_norm': 3.1521847248077393, 'learning_rate': 2.8403810125030277e-05, 'epoch': 0.04}

 48%|████▊     | 4837/10000 [12:16:42<16:57:35, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8699813485145569, dino_loss: 0.6640625, depth_loss: 0.05186295881867409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8946139812469482, dino_loss: 0.7109375, depth_loss: 0.049339450895786285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4838/10000 [12:16:53<16:48:16, 11.72s/it]
                                                          
{'loss': 2.0796, 'grad_norm': 3.8872299194335938, 'learning_rate': 2.839561957632393e-05, 'epoch': 0.04}

 48%|████▊     | 4838/10000 [12:16:53<16:48:16, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9044470191001892, dino_loss: 0.69921875, depth_loss: 0.0701681524515152, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7511708736419678, dino_loss: 0.6796875, depth_loss: 0.06483881175518036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4839/10000 [12:17:05<16:50:49, 11.75s/it]
                                                          
{'loss': 2.0274, 'grad_norm': 1.9696996212005615, 'learning_rate': 2.8387428656277724e-05, 'epoch': 0.04}

 48%|████▊     | 4839/10000 [12:17:05<16:50:49, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8295385837554932, dino_loss: 0.67578125, depth_loss: 0.053355827927589417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9098643064498901, dino_loss: 0.6875, depth_loss: 0.060561321675777435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4840/10000 [12:17:17<16:56:41, 11.82s/it]
                                                          
{'loss': 2.1683, 'grad_norm': 2.8557231426239014, 'learning_rate': 2.8379237365787426e-05, 'epoch': 0.04}

 48%|████▊     | 4840/10000 [12:17:17<16:56:41, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9409904479980469, dino_loss: 0.734375, depth_loss: 0.08392851054668427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8963565230369568, dino_loss: 0.72265625, depth_loss: 0.0953722819685936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4841/10000 [12:17:28<16:45:41, 11.70s/it]
                                                          
{'loss': 2.5292, 'grad_norm': 2.4449357986450195, 'learning_rate': 2.83710457057488e-05, 'epoch': 0.04}

 48%|████▊     | 4841/10000 [12:17:28<16:45:41, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8343833684921265, dino_loss: 0.703125, depth_loss: 0.055095817893743515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9776314496994019, dino_loss: 0.69140625, depth_loss: 0.05513791739940643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4842/10000 [12:17:40<16:47:08, 11.72s/it]
                                                          
{'loss': 2.5779, 'grad_norm': 2.6257379055023193, 'learning_rate': 2.8362853677057688e-05, 'epoch': 0.04}

 48%|████▊     | 4842/10000 [12:17:40<16:47:08, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.790632426738739, dino_loss: 0.71484375, depth_loss: 0.05412252992391586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9766919612884521, dino_loss: 0.7109375, depth_loss: 0.06426579505205154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4843/10000 [12:17:52<16:56:01, 11.82s/it]
                                                          
{'loss': 2.1045, 'grad_norm': 4.769418239593506, 'learning_rate': 2.8354661280609955e-05, 'epoch': 0.04}

 48%|████▊     | 4843/10000 [12:17:52<16:56:01, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.987004280090332, dino_loss: 0.72265625, depth_loss: 0.07206090539693832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8626481890678406, dino_loss: 0.6640625, depth_loss: 0.050833165645599365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4844/10000 [12:18:04<16:52:31, 11.78s/it]
                                                          
{'loss': 2.5172, 'grad_norm': 5.471673011779785, 'learning_rate': 2.834646851730151e-05, 'epoch': 0.04}

 48%|████▊     | 4844/10000 [12:18:04<16:52:31, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7908544540405273, dino_loss: 0.74609375, depth_loss: 0.05791689455509186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7492622137069702, dino_loss: 0.66015625, depth_loss: 0.05642366409301758, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4845/10000 [12:18:16<17:02:42, 11.90s/it]
                                                          
{'loss': 2.4963, 'grad_norm': 2.9491236209869385, 'learning_rate': 2.8338275388028295e-05, 'epoch': 0.04}

 48%|████▊     | 4845/10000 [12:18:16<17:02:42, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7919188737869263, dino_loss: 0.71484375, depth_loss: 0.0698254182934761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8019182682037354, dino_loss: 0.62109375, depth_loss: 0.04791732132434845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4846/10000 [12:18:28<17:10:52, 12.00s/it]
                                                          
{'loss': 2.3455, 'grad_norm': 3.37188458442688, 'learning_rate': 2.8330081893686305e-05, 'epoch': 0.04}

 48%|████▊     | 4846/10000 [12:18:28<17:10:52, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9507736563682556, dino_loss: 0.65234375, depth_loss: 0.04483075067400932, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8187505006790161, dino_loss: 0.7265625, depth_loss: 0.06576748192310333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4847/10000 [12:18:40<17:07:47, 11.97s/it]
                                                          
{'loss': 2.077, 'grad_norm': 4.480508327484131, 'learning_rate': 2.8321888035171567e-05, 'epoch': 0.04}

 48%|████▊     | 4847/10000 [12:18:40<17:07:47, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8729977011680603, dino_loss: 0.71484375, depth_loss: 0.06677121669054031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8931575417518616, dino_loss: 0.6875, depth_loss: 0.06502699851989746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4848/10000 [12:18:52<17:08:54, 11.98s/it]
                                                          
{'loss': 2.4797, 'grad_norm': 7.292489051818848, 'learning_rate': 2.8313693813380142e-05, 'epoch': 0.04}

 48%|████▊     | 4848/10000 [12:18:52<17:08:54, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8109676241874695, dino_loss: 0.6796875, depth_loss: 0.058538250625133514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.651722252368927, dino_loss: 0.59375, depth_loss: 0.038496553897857666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4849/10000 [12:19:04<16:53:54, 11.81s/it]
                                                          
{'loss': 1.6011, 'grad_norm': 4.422329425811768, 'learning_rate': 2.8305499229208148e-05, 'epoch': 0.04}

 48%|████▊     | 4849/10000 [12:19:04<16:53:54, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7713173031806946, dino_loss: 0.65234375, depth_loss: 0.0630403459072113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7135024070739746, dino_loss: 0.625, depth_loss: 0.03505644574761391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 48%|████▊     | 4850/10000 [12:19:14<16:28:23, 11.52s/it]
                                                          
{'loss': 1.4365, 'grad_norm': 1.8012765645980835, 'learning_rate': 2.8297304283551728e-05, 'epoch': 0.04}

 48%|████▊     | 4850/10000 [12:19:14<16:28:23, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8513528108596802, dino_loss: 0.62890625, depth_loss: 0.06854889541864395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7922364473342896, dino_loss: 0.6953125, depth_loss: 0.04748128354549408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4851/10000 [12:19:26<16:42:12, 11.68s/it]
                                                          
{'loss': 2.3007, 'grad_norm': 5.455534934997559, 'learning_rate': 2.8289108977307067e-05, 'epoch': 0.04}

 49%|████▊     | 4851/10000 [12:19:26<16:42:12, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7703832387924194, dino_loss: 0.64453125, depth_loss: 0.051240406930446625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7358222603797913, dino_loss: 0.77734375, depth_loss: 0.06513986736536026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4852/10000 [12:19:38<16:48:11, 11.75s/it]
                                                          
{'loss': 2.3355, 'grad_norm': 4.829240322113037, 'learning_rate': 2.8280913311370393e-05, 'epoch': 0.04}

 49%|████▊     | 4852/10000 [12:19:38<16:48:11, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8019899725914001, dino_loss: 0.69921875, depth_loss: 0.056747548282146454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8505417108535767, dino_loss: 0.60546875, depth_loss: 0.06682153046131134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4853/10000 [12:19:50<16:55:23, 11.84s/it]
                                                          
{'loss': 2.1176, 'grad_norm': 3.628803253173828, 'learning_rate': 2.8272717286637973e-05, 'epoch': 0.04}

 49%|████▊     | 4853/10000 [12:19:50<16:55:23, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.812658429145813, dino_loss: 0.69140625, depth_loss: 0.07002851366996765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7871754765510559, dino_loss: 0.72265625, depth_loss: 0.05992968752980232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4854/10000 [12:20:03<17:02:58, 11.93s/it]
                                                          
{'loss': 2.0671, 'grad_norm': 2.37267804145813, 'learning_rate': 2.8264520904006113e-05, 'epoch': 0.04}

 49%|████▊     | 4854/10000 [12:20:03<17:02:58, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8260040283203125, dino_loss: 0.63671875, depth_loss: 0.0406191423535347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.9228028059005737, dino_loss: 0.64453125, depth_loss: 0.06089862436056137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4855/10000 [12:20:14<16:42:27, 11.69s/it]
                                                          
{'loss': 2.012, 'grad_norm': 2.5092878341674805, 'learning_rate': 2.825632416437115e-05, 'epoch': 0.04}

 49%|████▊     | 4855/10000 [12:20:14<16:42:27, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8118128180503845, dino_loss: 0.67578125, depth_loss: 0.05374592915177345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9158426523208618, dino_loss: 0.671875, depth_loss: 0.05647486075758934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4856/10000 [12:20:25<16:43:15, 11.70s/it]
                                                          
{'loss': 1.9748, 'grad_norm': 3.665663719177246, 'learning_rate': 2.8248127068629478e-05, 'epoch': 0.04}

 49%|████▊     | 4856/10000 [12:20:25<16:43:15, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.868408203125, dino_loss: 0.6875, depth_loss: 0.056918371468782425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7906471490859985, dino_loss: 0.6484375, depth_loss: 0.053731489926576614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4857/10000 [12:20:37<16:39:12, 11.66s/it]
                                                          
{'loss': 2.3537, 'grad_norm': 3.6971778869628906, 'learning_rate': 2.8239929617677506e-05, 'epoch': 0.04}

 49%|████▊     | 4857/10000 [12:20:37<16:39:12, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9948160648345947, dino_loss: 0.6328125, depth_loss: 0.062402352690696716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7735403776168823, dino_loss: 0.671875, depth_loss: 0.0607556477189064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4858/10000 [12:20:49<16:41:26, 11.69s/it]
                                                          
{'loss': 2.0624, 'grad_norm': 2.8784544467926025, 'learning_rate': 2.823173181241171e-05, 'epoch': 0.04}

 49%|████▊     | 4858/10000 [12:20:49<16:41:26, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8016184568405151, dino_loss: 0.6484375, depth_loss: 0.053548142313957214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9889381527900696, dino_loss: 0.72265625, depth_loss: 0.05833415687084198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4859/10000 [12:21:00<16:37:20, 11.64s/it]
                                                          
{'loss': 2.1585, 'grad_norm': 2.2566077709198, 'learning_rate': 2.822353365372858e-05, 'epoch': 0.04}

 49%|████▊     | 4859/10000 [12:21:00<16:37:20, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8309990167617798, dino_loss: 0.671875, depth_loss: 0.05222618579864502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7908545136451721, dino_loss: 0.73046875, depth_loss: 0.05361511558294296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4860/10000 [12:21:12<16:31:51, 11.58s/it]
                                                          
{'loss': 1.8111, 'grad_norm': 4.368597030639648, 'learning_rate': 2.8215335142524657e-05, 'epoch': 0.04}

 49%|████▊     | 4860/10000 [12:21:12<16:31:51, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8566674590110779, dino_loss: 0.6484375, depth_loss: 0.058796197175979614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.858949601650238, dino_loss: 0.7109375, depth_loss: 0.05927007645368576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4861/10000 [12:21:24<16:38:22, 11.66s/it]
                                                          
{'loss': 2.2668, 'grad_norm': 4.796932697296143, 'learning_rate': 2.820713627969651e-05, 'epoch': 0.04}

 49%|████▊     | 4861/10000 [12:21:24<16:38:22, 11.66s/it]the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9978220462799072, dino_loss: 0.76171875, depth_loss: 0.06538813561201096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9925596117973328, dino_loss: 0.71484375, depth_loss: 0.05138760060071945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4862/10000 [12:21:35<16:44:21, 11.73s/it]
                                                          
{'loss': 2.3929, 'grad_norm': 3.469834804534912, 'learning_rate': 2.8198937066140767e-05, 'epoch': 0.04}

 49%|████▊     | 4862/10000 [12:21:35<16:44:21, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6306028962135315, dino_loss: 0.61328125, depth_loss: 0.046414729207754135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7950597405433655, dino_loss: 0.64453125, depth_loss: 0.06903235614299774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4863/10000 [12:21:47<16:51:35, 11.82s/it]
                                                          
{'loss': 1.9672, 'grad_norm': 4.307190418243408, 'learning_rate': 2.8190737502754077e-05, 'epoch': 0.04}

 49%|████▊     | 4863/10000 [12:21:47<16:51:35, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9100533127784729, dino_loss: 0.6875, depth_loss: 0.06529824435710907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0206999778747559, dino_loss: 0.73828125, depth_loss: 0.08663031458854675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4864/10000 [12:21:59<16:35:17, 11.63s/it]
                                                          
{'loss': 1.999, 'grad_norm': 2.1231908798217773, 'learning_rate': 2.818253759043313e-05, 'epoch': 0.04}

 49%|████▊     | 4864/10000 [12:21:59<16:35:17, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8571767807006836, dino_loss: 0.69140625, depth_loss: 0.08554787933826447, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9909431338310242, dino_loss: 0.6796875, depth_loss: 0.06783780455589294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4865/10000 [12:22:10<16:17:14, 11.42s/it]
                                                          
{'loss': 2.1255, 'grad_norm': 2.04396653175354, 'learning_rate': 2.817433733007466e-05, 'epoch': 0.04}

 49%|████▊     | 4865/10000 [12:22:10<16:17:14, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8317849636077881, dino_loss: 0.66796875, depth_loss: 0.058217115700244904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9621561765670776, dino_loss: 0.7109375, depth_loss: 0.07931871712207794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4866/10000 [12:22:21<16:09:42, 11.33s/it]
                                                          
{'loss': 2.2028, 'grad_norm': 2.8804259300231934, 'learning_rate': 2.8166136722575425e-05, 'epoch': 0.04}

 49%|████▊     | 4866/10000 [12:22:21<16:09:42, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7932974100112915, dino_loss: 0.671875, depth_loss: 0.05635658651590347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8401888012886047, dino_loss: 0.67578125, depth_loss: 0.06472036242485046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4867/10000 [12:22:33<16:21:22, 11.47s/it]
                                                          
{'loss': 2.0164, 'grad_norm': 2.7451181411743164, 'learning_rate': 2.815793576883224e-05, 'epoch': 0.04}

 49%|████▊     | 4867/10000 [12:22:33<16:21:22, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7802932262420654, dino_loss: 0.64453125, depth_loss: 0.06446502357721329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9381259679794312, dino_loss: 0.71484375, depth_loss: 0.08592820167541504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4868/10000 [12:22:43<16:04:13, 11.27s/it]
                                                          
{'loss': 1.9604, 'grad_norm': 2.673081874847412, 'learning_rate': 2.814973446974195e-05, 'epoch': 0.04}

 49%|████▊     | 4868/10000 [12:22:43<16:04:13, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9288350939750671, dino_loss: 0.7109375, depth_loss: 0.07395915687084198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8825335502624512, dino_loss: 0.69921875, depth_loss: 0.05804707854986191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4869/10000 [12:22:54<15:48:37, 11.09s/it]
                                                          
{'loss': 1.8664, 'grad_norm': 3.123722791671753, 'learning_rate': 2.8141532826201435e-05, 'epoch': 0.04}

 49%|████▊     | 4869/10000 [12:22:54<15:48:37, 11.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8550151586532593, dino_loss: 0.73046875, depth_loss: 0.05928747355937958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.014059066772461, dino_loss: 0.7109375, depth_loss: 0.06897973269224167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4870/10000 [12:23:06<16:05:02, 11.29s/it]
                                                          
{'loss': 2.4025, 'grad_norm': 3.0600345134735107, 'learning_rate': 2.8133330839107608e-05, 'epoch': 0.04}

 49%|████▊     | 4870/10000 [12:23:06<16:05:02, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6897392868995667, dino_loss: 0.62109375, depth_loss: 0.05550867319107056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8826911449432373, dino_loss: 0.68359375, depth_loss: 0.05165418982505798, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4871/10000 [12:23:17<16:06:32, 11.31s/it]
                                                          
{'loss': 2.041, 'grad_norm': 3.0125603675842285, 'learning_rate': 2.8125128509357435e-05, 'epoch': 0.04}

 49%|████▊     | 4871/10000 [12:23:17<16:06:32, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8981696963310242, dino_loss: 0.66796875, depth_loss: 0.05110258609056473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 4
seg_loss: 1.077768325805664, dino_loss: 0.6484375, depth_loss: 0.054428886622190475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4872/10000 [12:23:28<16:03:08, 11.27s/it]
                                                          
{'loss': 2.1365, 'grad_norm': 3.363447666168213, 'learning_rate': 2.811692583784791e-05, 'epoch': 0.04}

 49%|████▊     | 4872/10000 [12:23:28<16:03:08, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9495111703872681, dino_loss: 0.74609375, depth_loss: 0.09277817606925964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9517649412155151, dino_loss: 0.6875, depth_loss: 0.07589234411716461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4873/10000 [12:23:39<16:01:41, 11.25s/it]
                                                          
{'loss': 2.4293, 'grad_norm': 1.9875637292861938, 'learning_rate': 2.810872282547605e-05, 'epoch': 0.04}

 49%|████▊     | 4873/10000 [12:23:40<16:01:41, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5692926645278931, dino_loss: 0.5703125, depth_loss: 0.04012642055749893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7647943496704102, dino_loss: 0.65625, depth_loss: 0.06187153980135918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▊     | 4874/10000 [12:23:51<16:17:10, 11.44s/it]
                                                          
{'loss': 2.037, 'grad_norm': 2.4021356105804443, 'learning_rate': 2.810051947313895e-05, 'epoch': 0.04}

 49%|████▊     | 4874/10000 [12:23:51<16:17:10, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9965550303459167, dino_loss: 0.69140625, depth_loss: 0.07551799714565277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8682318925857544, dino_loss: 0.6875, depth_loss: 0.05226314067840576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4875/10000 [12:24:04<16:38:09, 11.69s/it]
                                                          
{'loss': 2.7479, 'grad_norm': 4.595466613769531, 'learning_rate': 2.8092315781733696e-05, 'epoch': 0.04}

 49%|████▉     | 4875/10000 [12:24:04<16:38:09, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8943889141082764, dino_loss: 0.73828125, depth_loss: 0.05471581965684891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6882538199424744, dino_loss: 0.65234375, depth_loss: 0.05007399246096611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4876/10000 [12:24:15<16:25:53, 11.54s/it]
                                                          
{'loss': 2.0722, 'grad_norm': 4.087653636932373, 'learning_rate': 2.8084111752157432e-05, 'epoch': 0.04}

 49%|████▉     | 4876/10000 [12:24:15<16:25:53, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8895736932754517, dino_loss: 0.734375, depth_loss: 0.06894857436418533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0144057273864746, dino_loss: 0.7578125, depth_loss: 0.0694878101348877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4877/10000 [12:24:26<16:23:49, 11.52s/it]
                                                          
{'loss': 2.4148, 'grad_norm': 1.9349615573883057, 'learning_rate': 2.8075907385307355e-05, 'epoch': 0.04}

 49%|████▉     | 4877/10000 [12:24:26<16:23:49, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7745739221572876, dino_loss: 0.6875, depth_loss: 0.0561763271689415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8813998699188232, dino_loss: 0.671875, depth_loss: 0.0621439553797245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4878/10000 [12:24:38<16:22:50, 11.51s/it]
                                                          
{'loss': 2.2389, 'grad_norm': 2.29849910736084, 'learning_rate': 2.806770268208066e-05, 'epoch': 0.04}

 49%|████▉     | 4878/10000 [12:24:38<16:22:50, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0139673948287964, dino_loss: 0.7265625, depth_loss: 0.06280218064785004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9660540819168091, dino_loss: 0.7265625, depth_loss: 0.07439667731523514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4879/10000 [12:24:50<16:40:43, 11.72s/it]
                                                          
{'loss': 2.7411, 'grad_norm': 5.000744819641113, 'learning_rate': 2.8059497643374615e-05, 'epoch': 0.04}

 49%|████▉     | 4879/10000 [12:24:50<16:40:43, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8168907165527344, dino_loss: 0.70703125, depth_loss: 0.06130152940750122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9275652170181274, dino_loss: 0.72265625, depth_loss: 0.052637360990047455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4880/10000 [12:25:03<17:07:13, 12.04s/it]
                                                          
{'loss': 2.8074, 'grad_norm': 2.6417675018310547, 'learning_rate': 2.8051292270086503e-05, 'epoch': 0.04}

 49%|████▉     | 4880/10000 [12:25:03<17:07:13, 12.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9166393280029297, dino_loss: 0.66015625, depth_loss: 0.054455097764730453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.871014416217804, dino_loss: 0.734375, depth_loss: 0.04651675373315811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4881/10000 [12:25:15<17:21:43, 12.21s/it]
                                                          
{'loss': 2.4077, 'grad_norm': 5.537990570068359, 'learning_rate': 2.8043086563113667e-05, 'epoch': 0.04}

 49%|████▉     | 4881/10000 [12:25:15<17:21:43, 12.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.805206835269928, dino_loss: 0.70703125, depth_loss: 0.061694882810115814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8933370113372803, dino_loss: 0.66015625, depth_loss: 0.04641216620802879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4882/10000 [12:25:27<17:08:54, 12.06s/it]
                                                          
{'loss': 2.2724, 'grad_norm': 3.1497104167938232, 'learning_rate': 2.803488052335346e-05, 'epoch': 0.04}

 49%|████▉     | 4882/10000 [12:25:27<17:08:54, 12.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8522590398788452, dino_loss: 0.6875, depth_loss: 0.07909582555294037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.937656819820404, dino_loss: 0.6875, depth_loss: 0.07377196848392487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4883/10000 [12:25:39<17:04:23, 12.01s/it]
                                                          
{'loss': 2.427, 'grad_norm': 6.747270584106445, 'learning_rate': 2.8026674151703268e-05, 'epoch': 0.04}

 49%|████▉     | 4883/10000 [12:25:39<17:04:23, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7896437048912048, dino_loss: 0.69140625, depth_loss: 0.08241536468267441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8478274345397949, dino_loss: 0.6953125, depth_loss: 0.06198212504386902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4884/10000 [12:25:51<17:09:37, 12.08s/it]
                                                          
{'loss': 2.5793, 'grad_norm': 3.7069876194000244, 'learning_rate': 2.8018467449060554e-05, 'epoch': 0.04}

 49%|████▉     | 4884/10000 [12:25:51<17:09:37, 12.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9236252903938293, dino_loss: 0.796875, depth_loss: 0.06060393527150154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6716905832290649, dino_loss: 0.734375, depth_loss: 0.06763794273138046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4885/10000 [12:26:03<17:00:17, 11.97s/it]
                                                          
{'loss': 2.4698, 'grad_norm': 2.932264566421509, 'learning_rate': 2.8010260416322774e-05, 'epoch': 0.04}

 49%|████▉     | 4885/10000 [12:26:03<17:00:17, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8092572093009949, dino_loss: 0.70703125, depth_loss: 0.06094527244567871, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7756991982460022, dino_loss: 0.68359375, depth_loss: 0.047436174005270004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4886/10000 [12:26:14<16:46:26, 11.81s/it]
                                                          
{'loss': 2.2086, 'grad_norm': 2.2557613849639893, 'learning_rate': 2.800205305438744e-05, 'epoch': 0.04}

 49%|████▉     | 4886/10000 [12:26:14<16:46:26, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7912417054176331, dino_loss: 0.68359375, depth_loss: 0.07025196403265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.796208381652832, dino_loss: 0.69921875, depth_loss: 0.059881798923015594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4887/10000 [12:26:26<16:45:07, 11.79s/it]
                                                          
{'loss': 2.395, 'grad_norm': 3.4581384658813477, 'learning_rate': 2.7993845364152098e-05, 'epoch': 0.04}

 49%|████▉     | 4887/10000 [12:26:26<16:45:07, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9260950088500977, dino_loss: 0.73828125, depth_loss: 0.051507748663425446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8430221676826477, dino_loss: 0.6953125, depth_loss: 0.06427311152219772, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4888/10000 [12:26:38<16:55:32, 11.92s/it]
                                                          
{'loss': 2.2125, 'grad_norm': 8.201828002929688, 'learning_rate': 2.7985637346514328e-05, 'epoch': 0.04}

 49%|████▉     | 4888/10000 [12:26:38<16:55:32, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0012500286102295, dino_loss: 0.66796875, depth_loss: 0.06974099576473236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8854526281356812, dino_loss: 0.66015625, depth_loss: 0.051295388489961624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4889/10000 [12:26:50<16:46:20, 11.81s/it]
                                                          
{'loss': 2.202, 'grad_norm': 6.994072914123535, 'learning_rate': 2.7977429002371747e-05, 'epoch': 0.04}

 49%|████▉     | 4889/10000 [12:26:50<16:46:20, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9863063097000122, dino_loss: 0.6953125, depth_loss: 0.059547439217567444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6788087487220764, dino_loss: 0.62109375, depth_loss: 0.0618654265999794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4890/10000 [12:27:02<16:45:10, 11.80s/it]
                                                          
{'loss': 1.7855, 'grad_norm': 3.8403024673461914, 'learning_rate': 2.7969220332622003e-05, 'epoch': 0.04}

 49%|████▉     | 4890/10000 [12:27:02<16:45:10, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8976505994796753, dino_loss: 0.6953125, depth_loss: 0.08707823604345322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6990470290184021, dino_loss: 0.6015625, depth_loss: 0.06084683537483215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4891/10000 [12:27:14<16:49:27, 11.85s/it]
                                                          
{'loss': 2.1601, 'grad_norm': 3.351858377456665, 'learning_rate': 2.7961011338162795e-05, 'epoch': 0.04}

 49%|████▉     | 4891/10000 [12:27:14<16:49:27, 11.85s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.7874224781990051, dino_loss: 0.66015625, depth_loss: 0.055923447012901306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8900545239448547, dino_loss: 0.65234375, depth_loss: 0.0719294548034668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4892/10000 [12:27:26<16:48:12, 11.84s/it]
                                                          
{'loss': 2.2925, 'grad_norm': 4.057693958282471, 'learning_rate': 2.7952802019891833e-05, 'epoch': 0.04}

 49%|████▉     | 4892/10000 [12:27:26<16:48:12, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7829149961471558, dino_loss: 0.62109375, depth_loss: 0.05741496384143829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8924508094787598, dino_loss: 0.6953125, depth_loss: 0.06288431584835052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4893/10000 [12:27:37<16:51:06, 11.88s/it]
                                                          
{'loss': 2.3727, 'grad_norm': 3.674988269805908, 'learning_rate': 2.7944592378706884e-05, 'epoch': 0.04}

 49%|████▉     | 4893/10000 [12:27:37<16:51:06, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8249207139015198, dino_loss: 0.671875, depth_loss: 0.08049324154853821, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7121765613555908, dino_loss: 0.61328125, depth_loss: 0.046846140176057816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4894/10000 [12:27:49<16:36:43, 11.71s/it]
                                                          
{'loss': 1.7044, 'grad_norm': 1.9221099615097046, 'learning_rate': 2.793638241550574e-05, 'epoch': 0.04}

 49%|████▉     | 4894/10000 [12:27:49<16:36:43, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8572651147842407, dino_loss: 0.65234375, depth_loss: 0.048944927752017975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8959217667579651, dino_loss: 0.7109375, depth_loss: 0.0749150961637497, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4895/10000 [12:28:00<16:16:11, 11.47s/it]
                                                          
{'loss': 1.9588, 'grad_norm': 2.766446113586426, 'learning_rate': 2.792817213118623e-05, 'epoch': 0.04}

 49%|████▉     | 4895/10000 [12:28:00<16:16:11, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8576636910438538, dino_loss: 0.66796875, depth_loss: 0.05893835052847862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9977073669433594, dino_loss: 0.66796875, depth_loss: 0.05759602040052414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4896/10000 [12:28:12<16:26:20, 11.59s/it]
                                                          
{'loss': 2.2019, 'grad_norm': 4.458810806274414, 'learning_rate': 2.7919961526646215e-05, 'epoch': 0.04}

 49%|████▉     | 4896/10000 [12:28:12<16:26:20, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 6
seg_loss: 0.7283704280853271, dino_loss: 0.6640625, depth_loss: 0.05913948640227318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592122197151184, dino_loss: 0.7265625, depth_loss: 0.06610582023859024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4897/10000 [12:28:23<16:33:14, 11.68s/it]
                                                          
{'loss': 2.3656, 'grad_norm': 2.051345109939575, 'learning_rate': 2.7911750602783603e-05, 'epoch': 0.04}

 49%|████▉     | 4897/10000 [12:28:23<16:33:14, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9368941187858582, dino_loss: 0.69140625, depth_loss: 0.0634421855211258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9208555817604065, dino_loss: 0.69140625, depth_loss: 0.053874120116233826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4898/10000 [12:28:35<16:29:20, 11.63s/it]
                                                          
{'loss': 2.2508, 'grad_norm': 5.325125694274902, 'learning_rate': 2.7903539360496323e-05, 'epoch': 0.04}

 49%|████▉     | 4898/10000 [12:28:35<16:29:20, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9273489713668823, dino_loss: 0.58203125, depth_loss: 0.04560565948486328, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8673422336578369, dino_loss: 0.6953125, depth_loss: 0.06846361607313156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4899/10000 [12:28:46<16:25:51, 11.60s/it]
                                                          
{'loss': 1.7254, 'grad_norm': 10.051427841186523, 'learning_rate': 2.7895327800682336e-05, 'epoch': 0.04}

 49%|████▉     | 4899/10000 [12:28:46<16:25:51, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7608594298362732, dino_loss: 0.6796875, depth_loss: 0.07580345124006271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8853505253791809, dino_loss: 0.734375, depth_loss: 0.07673328369855881, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4900/10000 [12:28:58<16:20:13, 11.53s/it]
                                                          
{'loss': 2.3046, 'grad_norm': 5.819668769836426, 'learning_rate': 2.788711592423966e-05, 'epoch': 0.04}

 49%|████▉     | 4900/10000 [12:28:58<16:20:13, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7385047674179077, dino_loss: 0.71484375, depth_loss: 0.07205600291490555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.978682279586792, dino_loss: 0.73046875, depth_loss: 0.06755653023719788, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4901/10000 [12:29:09<16:20:12, 11.53s/it]
                                                          
{'loss': 2.2546, 'grad_norm': 4.151956558227539, 'learning_rate': 2.787890373206632e-05, 'epoch': 0.04}

 49%|████▉     | 4901/10000 [12:29:09<16:20:12, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9418016672134399, dino_loss: 0.74609375, depth_loss: 0.07370036840438843, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9278496503829956, dino_loss: 0.671875, depth_loss: 0.047809094190597534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4902/10000 [12:29:22<16:37:59, 11.75s/it]
                                                          
{'loss': 2.2048, 'grad_norm': 2.131981134414673, 'learning_rate': 2.7870691225060404e-05, 'epoch': 0.04}

 49%|████▉     | 4902/10000 [12:29:22<16:37:59, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9730545282363892, dino_loss: 0.7109375, depth_loss: 0.07772627472877502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8244809508323669, dino_loss: 0.640625, depth_loss: 0.05909963697195053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4903/10000 [12:29:33<16:34:53, 11.71s/it]
                                                          
{'loss': 2.1453, 'grad_norm': 2.444632053375244, 'learning_rate': 2.7862478404120008e-05, 'epoch': 0.04}

 49%|████▉     | 4903/10000 [12:29:33<16:34:53, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9118298888206482, dino_loss: 0.69140625, depth_loss: 0.07083301246166229, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8890973329544067, dino_loss: 0.73046875, depth_loss: 0.058127082884311676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4904/10000 [12:29:45<16:43:47, 11.82s/it]
                                                          
{'loss': 2.2751, 'grad_norm': 3.433208465576172, 'learning_rate': 2.7854265270143275e-05, 'epoch': 0.04}

 49%|████▉     | 4904/10000 [12:29:45<16:43:47, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7843432426452637, dino_loss: 0.640625, depth_loss: 0.04636910557746887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8959701061248779, dino_loss: 0.71484375, depth_loss: 0.06261634826660156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4905/10000 [12:29:58<16:57:18, 11.98s/it]
                                                          
{'loss': 2.3844, 'grad_norm': 2.3423242568969727, 'learning_rate': 2.7846051824028386e-05, 'epoch': 0.04}

 49%|████▉     | 4905/10000 [12:29:58<16:57:18, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7254935503005981, dino_loss: 0.66015625, depth_loss: 0.04866078868508339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.83357834815979, dino_loss: 0.6796875, depth_loss: 0.05128839612007141, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4906/10000 [12:30:10<17:04:24, 12.07s/it]
                                                          
{'loss': 1.9735, 'grad_norm': 4.322528839111328, 'learning_rate': 2.7837838066673548e-05, 'epoch': 0.04}

 49%|████▉     | 4906/10000 [12:30:10<17:04:24, 12.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7003220319747925, dino_loss: 0.671875, depth_loss: 0.05761180445551872, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6983447074890137, dino_loss: 0.7109375, depth_loss: 0.06869170814752579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4907/10000 [12:30:22<17:01:20, 12.03s/it]
                                                          
{'loss': 2.2761, 'grad_norm': 2.7726829051971436, 'learning_rate': 2.7829623998977012e-05, 'epoch': 0.04}

 49%|████▉     | 4907/10000 [12:30:22<17:01:20, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8852837681770325, dino_loss: 0.65234375, depth_loss: 0.060377106070518494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9707448482513428, dino_loss: 0.76171875, depth_loss: 0.08263017237186432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4908/10000 [12:30:33<16:41:24, 11.80s/it]
                                                          
{'loss': 2.4031, 'grad_norm': 10.344087600708008, 'learning_rate': 2.782140962183704e-05, 'epoch': 0.04}

 49%|████▉     | 4908/10000 [12:30:33<16:41:24, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9002457857131958, dino_loss: 0.65625, depth_loss: 0.0665648952126503, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0615308284759521, dino_loss: 0.66796875, depth_loss: 0.06380289793014526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4909/10000 [12:30:45<16:45:54, 11.86s/it]
                                                          
{'loss': 2.5621, 'grad_norm': 2.3913183212280273, 'learning_rate': 2.781319493615196e-05, 'epoch': 0.04}

 49%|████▉     | 4909/10000 [12:30:45<16:45:54, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.041846513748169, dino_loss: 0.7265625, depth_loss: 0.0652812048792839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.94300377368927, dino_loss: 0.69140625, depth_loss: 0.07395639270544052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4910/10000 [12:30:57<16:37:11, 11.75s/it]
                                                          
{'loss': 2.6046, 'grad_norm': 3.6127636432647705, 'learning_rate': 2.7804979942820113e-05, 'epoch': 0.04}

 49%|████▉     | 4910/10000 [12:30:57<16:37:11, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.766554594039917, dino_loss: 0.6328125, depth_loss: 0.06397806107997894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0678377151489258, dino_loss: 0.69921875, depth_loss: 0.05912710726261139, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4911/10000 [12:31:08<16:37:32, 11.76s/it]
                                                          
{'loss': 2.3806, 'grad_norm': 2.892294406890869, 'learning_rate': 2.779676464273987e-05, 'epoch': 0.04}

 49%|████▉     | 4911/10000 [12:31:08<16:37:32, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7597315311431885, dino_loss: 0.62109375, depth_loss: 0.05342927202582359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8621104955673218, dino_loss: 0.75, depth_loss: 0.06286580860614777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4912/10000 [12:31:20<16:32:59, 11.71s/it]
                                                          
{'loss': 2.1971, 'grad_norm': 6.099660873413086, 'learning_rate': 2.7788549036809657e-05, 'epoch': 0.04}

 49%|████▉     | 4912/10000 [12:31:20<16:32:59, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7866175174713135, dino_loss: 0.69140625, depth_loss: 0.057845935225486755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8967686295509338, dino_loss: 0.66015625, depth_loss: 0.05934286490082741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4913/10000 [12:31:32<16:50:04, 11.91s/it]
                                                          
{'loss': 2.0827, 'grad_norm': 4.377013683319092, 'learning_rate': 2.7780333125927917e-05, 'epoch': 0.04}

 49%|████▉     | 4913/10000 [12:31:32<16:50:04, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7227737903594971, dino_loss: 0.68359375, depth_loss: 0.06083811819553375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8837392926216125, dino_loss: 0.703125, depth_loss: 0.06554049253463745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4914/10000 [12:31:44<16:32:20, 11.71s/it]
                                                          
{'loss': 1.6505, 'grad_norm': 3.1136553287506104, 'learning_rate': 2.777211691099312e-05, 'epoch': 0.04}

 49%|████▉     | 4914/10000 [12:31:44<16:32:20, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8904698491096497, dino_loss: 0.6640625, depth_loss: 0.08160252124071121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9312646389007568, dino_loss: 0.63671875, depth_loss: 0.05897770822048187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4915/10000 [12:31:55<16:33:07, 11.72s/it]
                                                          
{'loss': 2.1468, 'grad_norm': 3.9912233352661133, 'learning_rate': 2.776390039290378e-05, 'epoch': 0.04}

 49%|████▉     | 4915/10000 [12:31:55<16:33:07, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.012431263923645, dino_loss: 0.69140625, depth_loss: 0.07316944003105164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9048741459846497, dino_loss: 0.66796875, depth_loss: 0.057776954025030136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4916/10000 [12:32:07<16:35:55, 11.75s/it]
                                                          
{'loss': 2.6285, 'grad_norm': 3.0852699279785156, 'learning_rate': 2.7755683572558456e-05, 'epoch': 0.04}

 49%|████▉     | 4916/10000 [12:32:07<16:35:55, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8611894845962524, dino_loss: 0.6640625, depth_loss: 0.06313234567642212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8369665145874023, dino_loss: 0.72265625, depth_loss: 0.06535392999649048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4917/10000 [12:32:19<16:39:41, 11.80s/it]
                                                          
{'loss': 2.0528, 'grad_norm': 5.474484443664551, 'learning_rate': 2.7747466450855718e-05, 'epoch': 0.04}

 49%|████▉     | 4917/10000 [12:32:19<16:39:41, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8003307580947876, dino_loss: 0.6640625, depth_loss: 0.06740127503871918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8136881589889526, dino_loss: 0.73828125, depth_loss: 0.05568920448422432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4918/10000 [12:32:31<16:49:03, 11.91s/it]
                                                          
{'loss': 2.3327, 'grad_norm': 2.6658239364624023, 'learning_rate': 2.773924902869418e-05, 'epoch': 0.04}

 49%|████▉     | 4918/10000 [12:32:31<16:49:03, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9000449180603027, dino_loss: 0.68359375, depth_loss: 0.09282570332288742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8677269816398621, dino_loss: 0.68359375, depth_loss: 0.053588107228279114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4919/10000 [12:32:43<16:30:18, 11.69s/it]
                                                          
{'loss': 1.9201, 'grad_norm': 5.286798477172852, 'learning_rate': 2.773103130697249e-05, 'epoch': 0.04}

 49%|████▉     | 4919/10000 [12:32:43<16:30:18, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7745524644851685, dino_loss: 0.72265625, depth_loss: 0.07174427062273026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8790614604949951, dino_loss: 0.73828125, depth_loss: 0.052098602056503296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4920/10000 [12:32:54<16:35:54, 11.76s/it]
                                                          
{'loss': 2.2662, 'grad_norm': 3.00640606880188, 'learning_rate': 2.7722813286589316e-05, 'epoch': 0.04}

 49%|████▉     | 4920/10000 [12:32:54<16:35:54, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0218486785888672, dino_loss: 0.72265625, depth_loss: 0.07939279824495316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9943190217018127, dino_loss: 0.7109375, depth_loss: 0.053049638867378235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4921/10000 [12:33:06<16:29:34, 11.69s/it]
                                                          
{'loss': 2.4471, 'grad_norm': 3.387028694152832, 'learning_rate': 2.7714594968443374e-05, 'epoch': 0.04}

 49%|████▉     | 4921/10000 [12:33:06<16:29:34, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8485093116760254, dino_loss: 0.68359375, depth_loss: 0.0713023841381073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9724612832069397, dino_loss: 0.76953125, depth_loss: 0.06265828758478165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4922/10000 [12:33:17<16:17:29, 11.55s/it]
                                                          
{'loss': 2.105, 'grad_norm': 2.558910369873047, 'learning_rate': 2.7706376353433415e-05, 'epoch': 0.04}

 49%|████▉     | 4922/10000 [12:33:17<16:17:29, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7474786043167114, dino_loss: 0.65625, depth_loss: 0.06460873037576675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.838399350643158, dino_loss: 0.609375, depth_loss: 0.04362792521715164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4923/10000 [12:33:29<16:19:47, 11.58s/it]
                                                          
{'loss': 1.9925, 'grad_norm': 3.0294251441955566, 'learning_rate': 2.7698157442458205e-05, 'epoch': 0.04}

 49%|████▉     | 4923/10000 [12:33:29<16:19:47, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9845420122146606, dino_loss: 0.7109375, depth_loss: 0.06990715861320496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0631251335144043, dino_loss: 0.69140625, depth_loss: 0.05023164674639702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4924/10000 [12:33:40<16:19:42, 11.58s/it]
                                                          
{'loss': 2.2691, 'grad_norm': 5.656405448913574, 'learning_rate': 2.7689938236416546e-05, 'epoch': 0.04}

 49%|████▉     | 4924/10000 [12:33:40<16:19:42, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.768046498298645, dino_loss: 0.609375, depth_loss: 0.04632493108510971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9527041912078857, dino_loss: 0.70703125, depth_loss: 0.07489833235740662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4925/10000 [12:33:53<16:36:08, 11.78s/it]
                                                          
{'loss': 2.1937, 'grad_norm': 2.693061113357544, 'learning_rate': 2.7681718736207298e-05, 'epoch': 0.04}

 49%|████▉     | 4925/10000 [12:33:53<16:36:08, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9488015174865723, dino_loss: 0.734375, depth_loss: 0.06896254420280457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7764628529548645, dino_loss: 0.6640625, depth_loss: 0.05443624034523964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4926/10000 [12:34:04<16:23:12, 11.63s/it]
                                                          
{'loss': 2.286, 'grad_norm': 5.162328720092773, 'learning_rate': 2.767349894272931e-05, 'epoch': 0.04}

 49%|████▉     | 4926/10000 [12:34:04<16:23:12, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8462039232254028, dino_loss: 0.5859375, depth_loss: 0.04222660884261131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9711481332778931, dino_loss: 0.71875, depth_loss: 0.07243459671735764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4927/10000 [12:34:15<16:20:26, 11.60s/it]
                                                          
{'loss': 1.8833, 'grad_norm': 7.686915397644043, 'learning_rate': 2.76652788568815e-05, 'epoch': 0.04}

 49%|████▉     | 4927/10000 [12:34:15<16:20:26, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.872047483921051, dino_loss: 0.69921875, depth_loss: 0.05686492472887039, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8654245734214783, dino_loss: 0.69140625, depth_loss: 0.0715303122997284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4928/10000 [12:34:27<16:20:42, 11.60s/it]
                                                          
{'loss': 1.9571, 'grad_norm': 2.725306987762451, 'learning_rate': 2.7657058479562802e-05, 'epoch': 0.04}

 49%|████▉     | 4928/10000 [12:34:27<16:20:42, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8577200174331665, dino_loss: 0.671875, depth_loss: 0.06377650797367096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8702695965766907, dino_loss: 0.6875, depth_loss: 0.059330347925424576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4929/10000 [12:34:39<16:19:16, 11.59s/it]
                                                          
{'loss': 2.1416, 'grad_norm': 2.879467487335205, 'learning_rate': 2.7648837811672185e-05, 'epoch': 0.04}

 49%|████▉     | 4929/10000 [12:34:39<16:19:16, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8997718095779419, dino_loss: 0.63671875, depth_loss: 0.05762592703104019, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8540583848953247, dino_loss: 0.70703125, depth_loss: 0.06758009642362595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4930/10000 [12:34:50<16:14:04, 11.53s/it]
                                                          
{'loss': 1.9918, 'grad_norm': 4.2798171043396, 'learning_rate': 2.764061685410865e-05, 'epoch': 0.04}

 49%|████▉     | 4930/10000 [12:34:50<16:14:04, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6855931878089905, dino_loss: 0.71484375, depth_loss: 0.06264454126358032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 0.6129938960075378, dino_loss: 0.671875, depth_loss: 0.06323333084583282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4931/10000 [12:35:01<16:11:48, 11.50s/it]
                                                          
{'loss': 1.9346, 'grad_norm': 3.892133951187134, 'learning_rate': 2.7632395607771218e-05, 'epoch': 0.04}

 49%|████▉     | 4931/10000 [12:35:01<16:11:48, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6728545427322388, dino_loss: 0.578125, depth_loss: 0.0500699058175087, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9142928123474121, dino_loss: 0.703125, depth_loss: 0.0736563503742218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4932/10000 [12:35:13<16:06:30, 11.44s/it]
                                                          
{'loss': 2.019, 'grad_norm': 1.6484057903289795, 'learning_rate': 2.7624174073558968e-05, 'epoch': 0.04}

 49%|████▉     | 4932/10000 [12:35:13<16:06:30, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8967933058738708, dino_loss: 0.703125, depth_loss: 0.0645614042878151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8148218393325806, dino_loss: 0.671875, depth_loss: 0.06231748312711716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4933/10000 [12:35:25<16:18:52, 11.59s/it]
                                                          
{'loss': 2.2618, 'grad_norm': 2.1086013317108154, 'learning_rate': 2.7615952252370986e-05, 'epoch': 0.04}

 49%|████▉     | 4933/10000 [12:35:25<16:18:52, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7382842302322388, dino_loss: 0.61328125, depth_loss: 0.05342966690659523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8130104541778564, dino_loss: 0.7265625, depth_loss: 0.059740036725997925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4934/10000 [12:35:37<16:36:46, 11.81s/it]
                                                          
{'loss': 1.8924, 'grad_norm': 2.34692120552063, 'learning_rate': 2.7607730145106392e-05, 'epoch': 0.04}

 49%|████▉     | 4934/10000 [12:35:37<16:36:46, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8093924522399902, dino_loss: 0.67578125, depth_loss: 0.057349517941474915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9457811117172241, dino_loss: 0.68359375, depth_loss: 0.06875260919332504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4935/10000 [12:35:48<16:28:40, 11.71s/it]
                                                          
{'loss': 2.1684, 'grad_norm': 2.550607919692993, 'learning_rate': 2.7599507752664354e-05, 'epoch': 0.04}

 49%|████▉     | 4935/10000 [12:35:49<16:28:40, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.072522521018982, dino_loss: 0.6875, depth_loss: 0.06318126618862152, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.716467022895813, dino_loss: 0.6953125, depth_loss: 0.05247951298952103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4936/10000 [12:36:00<16:11:31, 11.51s/it]
                                                          
{'loss': 1.8907, 'grad_norm': 1.8693647384643555, 'learning_rate': 2.7591285075944056e-05, 'epoch': 0.04}

 49%|████▉     | 4936/10000 [12:36:00<16:11:31, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6320316791534424, dino_loss: 0.59375, depth_loss: 0.07509638369083405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7525936961174011, dino_loss: 0.65625, depth_loss: 0.0702069103717804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4937/10000 [12:36:11<16:11:24, 11.51s/it]
                                                          
{'loss': 1.5295, 'grad_norm': 2.743255853652954, 'learning_rate': 2.7583062115844715e-05, 'epoch': 0.04}

 49%|████▉     | 4937/10000 [12:36:11<16:11:24, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0323807001113892, dino_loss: 0.6796875, depth_loss: 0.06150650233030319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0088530778884888, dino_loss: 0.6953125, depth_loss: 0.0614134855568409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4938/10000 [12:36:23<16:11:20, 11.51s/it]
                                                          
{'loss': 2.5836, 'grad_norm': 3.8382177352905273, 'learning_rate': 2.757483887326559e-05, 'epoch': 0.04}

 49%|████▉     | 4938/10000 [12:36:23<16:11:20, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9658178091049194, dino_loss: 0.6875, depth_loss: 0.08046165108680725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8519382476806641, dino_loss: 0.671875, depth_loss: 0.05481753498315811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4939/10000 [12:36:34<16:06:38, 11.46s/it]
                                                          
{'loss': 2.044, 'grad_norm': 3.845322608947754, 'learning_rate': 2.7566615349105963e-05, 'epoch': 0.04}

 49%|████▉     | 4939/10000 [12:36:34<16:06:38, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0079636573791504, dino_loss: 0.66796875, depth_loss: 0.050900690257549286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6184945702552795, dino_loss: 0.68359375, depth_loss: 0.058806244283914566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4940/10000 [12:36:45<16:08:55, 11.49s/it]
                                                          
{'loss': 2.0629, 'grad_norm': 3.428759813308716, 'learning_rate': 2.755839154426513e-05, 'epoch': 0.04}

 49%|████▉     | 4940/10000 [12:36:45<16:08:55, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9079827070236206, dino_loss: 0.6875, depth_loss: 0.05952712148427963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0112606287002563, dino_loss: 0.67578125, depth_loss: 0.054918333888053894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4941/10000 [12:36:58<16:26:28, 11.70s/it]
                                                          
{'loss': 2.7217, 'grad_norm': 3.021169900894165, 'learning_rate': 2.7550167459642445e-05, 'epoch': 0.04}

 49%|████▉     | 4941/10000 [12:36:58<16:26:28, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8001829981803894, dino_loss: 0.68359375, depth_loss: 0.052052903920412064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9420148134231567, dino_loss: 0.703125, depth_loss: 0.07415466010570526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4942/10000 [12:37:09<16:22:06, 11.65s/it]
                                                          
{'loss': 1.9868, 'grad_norm': 4.300188064575195, 'learning_rate': 2.7541943096137286e-05, 'epoch': 0.04}

 49%|████▉     | 4942/10000 [12:37:09<16:22:06, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9389785528182983, dino_loss: 0.6796875, depth_loss: 0.059912774711847305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9392076134681702, dino_loss: 0.70703125, depth_loss: 0.06272794306278229, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4943/10000 [12:37:21<16:23:54, 11.67s/it]
                                                          
{'loss': 2.6207, 'grad_norm': 4.509927749633789, 'learning_rate': 2.7533718454649044e-05, 'epoch': 0.04}

 49%|████▉     | 4943/10000 [12:37:21<16:23:54, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.6857357025146484, dino_loss: 0.67578125, depth_loss: 0.053631268441677094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9296414256095886, dino_loss: 0.73046875, depth_loss: 0.06202797591686249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4944/10000 [12:37:33<16:30:12, 11.75s/it]
                                                          
{'loss': 2.2239, 'grad_norm': 2.791628360748291, 'learning_rate': 2.7525493536077168e-05, 'epoch': 0.04}

 49%|████▉     | 4944/10000 [12:37:33<16:30:12, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7721186280250549, dino_loss: 0.71484375, depth_loss: 0.07214784622192383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7646503448486328, dino_loss: 0.73046875, depth_loss: 0.06044616550207138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4945/10000 [12:37:44<16:26:20, 11.71s/it]
                                                          
{'loss': 2.0633, 'grad_norm': 5.94210958480835, 'learning_rate': 2.7517268341321112e-05, 'epoch': 0.04}

 49%|████▉     | 4945/10000 [12:37:44<16:26:20, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0162782669067383, dino_loss: 0.71484375, depth_loss: 0.06263215839862823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8180815577507019, dino_loss: 0.66015625, depth_loss: 0.06028292328119278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4946/10000 [12:37:56<16:24:10, 11.68s/it]
                                                          
{'loss': 1.9585, 'grad_norm': 2.729296922683716, 'learning_rate': 2.7509042871280372e-05, 'epoch': 0.04}

 49%|████▉     | 4946/10000 [12:37:56<16:24:10, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9136807918548584, dino_loss: 0.71484375, depth_loss: 0.05419878661632538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.018695592880249, dino_loss: 0.703125, depth_loss: 0.06403519213199615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4947/10000 [12:38:08<16:41:31, 11.89s/it]
                                                          
{'loss': 3.0226, 'grad_norm': 3.100639820098877, 'learning_rate': 2.7500817126854482e-05, 'epoch': 0.04}

 49%|████▉     | 4947/10000 [12:38:08<16:41:31, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.8808402419090271, dino_loss: 0.75390625, depth_loss: 0.0589447095990181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8332749009132385, dino_loss: 0.6640625, depth_loss: 0.06332400441169739, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4948/10000 [12:38:21<16:49:17, 11.99s/it]
                                                          
{'loss': 2.0333, 'grad_norm': 4.243072032928467, 'learning_rate': 2.7492591108942993e-05, 'epoch': 0.04}

 49%|████▉     | 4948/10000 [12:38:21<16:49:17, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7801318764686584, dino_loss: 0.6796875, depth_loss: 0.0673222690820694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.9640095233917236, dino_loss: 0.7109375, depth_loss: 0.06758449971675873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 49%|████▉     | 4949/10000 [12:38:32<16:40:18, 11.88s/it]
                                                          
{'loss': 1.8131, 'grad_norm': 5.535202503204346, 'learning_rate': 2.748436481844548e-05, 'epoch': 0.04}

 49%|████▉     | 4949/10000 [12:38:32<16:40:18, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.916331946849823, dino_loss: 0.74609375, depth_loss: 0.05033349618315697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1481291055679321, dino_loss: 0.703125, depth_loss: 0.06380917876958847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4950/10000 [12:38:44<16:40:29, 11.89s/it]
                                                          
{'loss': 2.7145, 'grad_norm': 3.410081386566162, 'learning_rate': 2.7476138256261575e-05, 'epoch': 0.04}

 50%|████▉     | 4950/10000 [12:38:44<16:40:29, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.638931393623352, dino_loss: 0.56640625, depth_loss: 0.06085796654224396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8277807831764221, dino_loss: 0.74609375, depth_loss: 0.05694279819726944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4951/10000 [12:38:57<16:56:56, 12.08s/it]
                                                          
{'loss': 2.2483, 'grad_norm': 2.5904288291931152, 'learning_rate': 2.7467911423290897e-05, 'epoch': 0.04}

 50%|████▉     | 4951/10000 [12:38:57<16:56:56, 12.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9297248721122742, dino_loss: 0.66796875, depth_loss: 0.05753675475716591, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9843614101409912, dino_loss: 0.71875, depth_loss: 0.05949157103896141, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4952/10000 [12:39:09<17:07:51, 12.22s/it]
                                                          
{'loss': 2.3474, 'grad_norm': 3.848156213760376, 'learning_rate': 2.7459684320433154e-05, 'epoch': 0.04}

 50%|████▉     | 4952/10000 [12:39:09<17:07:51, 12.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8893045783042908, dino_loss: 0.71875, depth_loss: 0.07333357632160187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8370994329452515, dino_loss: 0.75, depth_loss: 0.06905118376016617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4953/10000 [12:39:21<16:57:23, 12.09s/it]
                                                          
{'loss': 2.2607, 'grad_norm': 2.1022415161132812, 'learning_rate': 2.7451456948588016e-05, 'epoch': 0.04}

 50%|████▉     | 4953/10000 [12:39:21<16:57:23, 12.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9292158484458923, dino_loss: 0.64453125, depth_loss: 0.042518921196460724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.751595139503479, dino_loss: 0.7265625, depth_loss: 0.07541097700595856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4954/10000 [12:39:33<16:44:31, 11.94s/it]
                                                          
{'loss': 2.3607, 'grad_norm': 3.103858709335327, 'learning_rate': 2.7443229308655243e-05, 'epoch': 0.04}

 50%|████▉     | 4954/10000 [12:39:33<16:44:31, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9290792942047119, dino_loss: 0.69140625, depth_loss: 0.05895499512553215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8217517137527466, dino_loss: 0.703125, depth_loss: 0.06568314135074615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4955/10000 [12:39:44<16:39:47, 11.89s/it]
                                                          
{'loss': 2.3273, 'grad_norm': 3.100252389907837, 'learning_rate': 2.7435001401534586e-05, 'epoch': 0.04}

 50%|████▉     | 4955/10000 [12:39:44<16:39:47, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9757064580917358, dino_loss: 0.70703125, depth_loss: 0.07168599963188171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7900867462158203, dino_loss: 0.70703125, depth_loss: 0.05828472226858139, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4956/10000 [12:39:56<16:33:28, 11.82s/it]
                                                          
{'loss': 2.1286, 'grad_norm': 3.085465431213379, 'learning_rate': 2.7426773228125836e-05, 'epoch': 0.04}

 50%|████▉     | 4956/10000 [12:39:56<16:33:28, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9464998841285706, dino_loss: 0.69921875, depth_loss: 0.06500471383333206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9534463286399841, dino_loss: 0.68359375, depth_loss: 0.06716220825910568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4957/10000 [12:40:07<16:19:34, 11.65s/it]
                                                          
{'loss': 2.4116, 'grad_norm': 4.178415775299072, 'learning_rate': 2.7418544789328816e-05, 'epoch': 0.04}

 50%|████▉     | 4957/10000 [12:40:07<16:19:34, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8972431421279907, dino_loss: 0.67578125, depth_loss: 0.06723219156265259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9140727519989014, dino_loss: 0.6640625, depth_loss: 0.05885113403201103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4958/10000 [12:40:19<16:19:41, 11.66s/it]
                                                          
{'loss': 2.3347, 'grad_norm': 4.681471347808838, 'learning_rate': 2.741031608604337e-05, 'epoch': 0.04}

 50%|████▉     | 4958/10000 [12:40:19<16:19:41, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9137837290763855, dino_loss: 0.70703125, depth_loss: 0.05517098307609558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8658634424209595, dino_loss: 0.6484375, depth_loss: 0.04930514469742775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4959/10000 [12:40:31<16:16:53, 11.63s/it]
                                                          
{'loss': 2.1319, 'grad_norm': 4.71623420715332, 'learning_rate': 2.7402087119169378e-05, 'epoch': 0.04}

 50%|████▉     | 4959/10000 [12:40:31<16:16:53, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9126455783843994, dino_loss: 0.7578125, depth_loss: 0.05620301142334938, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.860987663269043, dino_loss: 0.66796875, depth_loss: 0.056303203105926514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4960/10000 [12:40:42<16:21:46, 11.69s/it]
                                                          
{'loss': 2.1341, 'grad_norm': 2.670590400695801, 'learning_rate': 2.7393857889606756e-05, 'epoch': 0.04}

 50%|████▉     | 4960/10000 [12:40:42<16:21:46, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8551552295684814, dino_loss: 0.7109375, depth_loss: 0.054792262613773346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9215378761291504, dino_loss: 0.70703125, depth_loss: 0.07087945193052292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4961/10000 [12:40:54<16:13:28, 11.59s/it]
                                                          
{'loss': 2.3313, 'grad_norm': 4.481751441955566, 'learning_rate': 2.738562839825543e-05, 'epoch': 0.04}

 50%|████▉     | 4961/10000 [12:40:54<16:13:28, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8679746389389038, dino_loss: 0.6640625, depth_loss: 0.05648583173751831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9495795965194702, dino_loss: 0.67578125, depth_loss: 0.05863843858242035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4962/10000 [12:41:06<16:18:25, 11.65s/it]
                                                          
{'loss': 2.44, 'grad_norm': 4.4707441329956055, 'learning_rate': 2.7377398646015367e-05, 'epoch': 0.04}

 50%|████▉     | 4962/10000 [12:41:06<16:18:25, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8219707608222961, dino_loss: 0.70703125, depth_loss: 0.04847867786884308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8124744892120361, dino_loss: 0.7265625, depth_loss: 0.06336578726768494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4963/10000 [12:41:17<16:16:31, 11.63s/it]
                                                          
{'loss': 2.154, 'grad_norm': 3.310023069381714, 'learning_rate': 2.736916863378657e-05, 'epoch': 0.04}

 50%|████▉     | 4963/10000 [12:41:17<16:16:31, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8837029337882996, dino_loss: 0.7109375, depth_loss: 0.08283567428588867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.8367480039596558, dino_loss: 0.59375, depth_loss: 0.03627626225352287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4964/10000 [12:41:29<16:28:01, 11.77s/it]
                                                          
{'loss': 2.4668, 'grad_norm': 5.059321403503418, 'learning_rate': 2.7360938362469052e-05, 'epoch': 0.04}

 50%|████▉     | 4964/10000 [12:41:29<16:28:01, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8380930423736572, dino_loss: 0.7265625, depth_loss: 0.05886508524417877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8266032338142395, dino_loss: 0.671875, depth_loss: 0.05808483064174652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4965/10000 [12:41:41<16:34:13, 11.85s/it]
                                                          
{'loss': 2.0956, 'grad_norm': 3.421724557876587, 'learning_rate': 2.7352707832962865e-05, 'epoch': 0.04}

 50%|████▉     | 4965/10000 [12:41:41<16:34:13, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8759695887565613, dino_loss: 0.69921875, depth_loss: 0.06457847356796265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8890358805656433, dino_loss: 0.7265625, depth_loss: 0.050528887659311295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4966/10000 [12:41:52<16:13:33, 11.60s/it]
                                                          
{'loss': 1.9574, 'grad_norm': 3.0014522075653076, 'learning_rate': 2.7344477046168076e-05, 'epoch': 0.04}

 50%|████▉     | 4966/10000 [12:41:52<16:13:33, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8304441571235657, dino_loss: 0.66015625, depth_loss: 0.05652138963341713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8555692434310913, dino_loss: 0.76171875, depth_loss: 0.058057211339473724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4967/10000 [12:42:04<16:04:28, 11.50s/it]
                                                          
{'loss': 1.7836, 'grad_norm': 3.8977322578430176, 'learning_rate': 2.7336246002984815e-05, 'epoch': 0.04}

 50%|████▉     | 4967/10000 [12:42:04<16:04:28, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7536956071853638, dino_loss: 0.66015625, depth_loss: 0.058960698544979095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0076993703842163, dino_loss: 0.74609375, depth_loss: 0.06920258700847626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4968/10000 [12:42:16<16:15:31, 11.63s/it]
                                                          
{'loss': 2.2761, 'grad_norm': 4.485860824584961, 'learning_rate': 2.73280147043132e-05, 'epoch': 0.04}

 50%|████▉     | 4968/10000 [12:42:16<16:15:31, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8145018815994263, dino_loss: 0.7265625, depth_loss: 0.07229270786046982, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.906808614730835, dino_loss: 0.72265625, depth_loss: 0.05740729346871376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4969/10000 [12:42:27<16:11:55, 11.59s/it]
                                                          
{'loss': 2.1263, 'grad_norm': 2.950026512145996, 'learning_rate': 2.731978315105339e-05, 'epoch': 0.04}

 50%|████▉     | 4969/10000 [12:42:27<16:11:55, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8785407543182373, dino_loss: 0.7109375, depth_loss: 0.06324349343776703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9300045371055603, dino_loss: 0.72265625, depth_loss: 0.04676121845841408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4970/10000 [12:42:39<16:12:59, 11.61s/it]
                                                          
{'loss': 2.6064, 'grad_norm': 2.9019899368286133, 'learning_rate': 2.731155134410559e-05, 'epoch': 0.04}

 50%|████▉     | 4970/10000 [12:42:39<16:12:59, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8683251738548279, dino_loss: 0.68359375, depth_loss: 0.050765879452228546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8336310386657715, dino_loss: 0.66796875, depth_loss: 0.059779733419418335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4971/10000 [12:42:50<16:12:49, 11.61s/it]
                                                          
{'loss': 1.8808, 'grad_norm': 3.187234401702881, 'learning_rate': 2.730331928437001e-05, 'epoch': 0.04}

 50%|████▉     | 4971/10000 [12:42:50<16:12:49, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7616811990737915, dino_loss: 0.57421875, depth_loss: 0.050777941942214966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9471765160560608, dino_loss: 0.6875, depth_loss: 0.04916713386774063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4972/10000 [12:43:02<16:24:30, 11.75s/it]
                                                          
{'loss': 1.7266, 'grad_norm': 3.752746105194092, 'learning_rate': 2.729508697274689e-05, 'epoch': 0.04}

 50%|████▉     | 4972/10000 [12:43:02<16:24:30, 11.75s/it]the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9356328248977661, dino_loss: 0.6640625, depth_loss: 0.0475655198097229, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9876793026924133, dino_loss: 0.69921875, depth_loss: 0.05832630395889282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4973/10000 [12:43:14<16:28:03, 11.79s/it]
                                                          
{'loss': 2.5311, 'grad_norm': 7.6520514488220215, 'learning_rate': 2.7286854410136513e-05, 'epoch': 0.04}

 50%|████▉     | 4973/10000 [12:43:14<16:28:03, 11.79s/it]the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9310615062713623, dino_loss: 0.69140625, depth_loss: 0.07349606603384018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8830209970474243, dino_loss: 0.671875, depth_loss: 0.06434963643550873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4974/10000 [12:43:26<16:20:57, 11.71s/it]
                                                          
{'loss': 2.2846, 'grad_norm': 4.129462718963623, 'learning_rate': 2.7278621597439176e-05, 'epoch': 0.04}

 50%|████▉     | 4974/10000 [12:43:26<16:20:57, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8469980955123901, dino_loss: 0.75390625, depth_loss: 0.05962832272052765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.464383602142334, dino_loss: 0.6875, depth_loss: 0.07425911724567413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4975/10000 [12:43:37<16:10:41, 11.59s/it]
                                                          
{'loss': 2.7237, 'grad_norm': 4.335081100463867, 'learning_rate': 2.727038853555521e-05, 'epoch': 0.04}

 50%|████▉     | 4975/10000 [12:43:37<16:10:41, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.905068039894104, dino_loss: 0.703125, depth_loss: 0.06134176254272461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0070780515670776, dino_loss: 0.71484375, depth_loss: 0.07112322002649307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4976/10000 [12:43:49<16:12:40, 11.62s/it]
                                                          
{'loss': 3.1735, 'grad_norm': 11.533097267150879, 'learning_rate': 2.7262155225384962e-05, 'epoch': 0.04}

 50%|████▉     | 4976/10000 [12:43:49<16:12:40, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8714203238487244, dino_loss: 0.69140625, depth_loss: 0.06182043254375458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8858151435852051, dino_loss: 0.6875, depth_loss: 0.05972222238779068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4977/10000 [12:44:00<16:13:04, 11.62s/it]
                                                          
{'loss': 2.1216, 'grad_norm': 3.1894588470458984, 'learning_rate': 2.7253921667828823e-05, 'epoch': 0.04}

 50%|████▉     | 4977/10000 [12:44:00<16:13:04, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9841323494911194, dino_loss: 0.7109375, depth_loss: 0.06774208694696426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8186464905738831, dino_loss: 0.66796875, depth_loss: 0.06334657222032547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4978/10000 [12:44:12<16:17:03, 11.67s/it]
                                                          
{'loss': 2.2986, 'grad_norm': 4.0704216957092285, 'learning_rate': 2.7245687863787195e-05, 'epoch': 0.04}

 50%|████▉     | 4978/10000 [12:44:12<16:17:03, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9242510199546814, dino_loss: 0.6640625, depth_loss: 0.07243514060974121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7558070421218872, dino_loss: 0.65625, depth_loss: 0.06558921188116074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4979/10000 [12:44:24<16:22:10, 11.74s/it]
                                                          
{'loss': 2.0811, 'grad_norm': 3.639423370361328, 'learning_rate': 2.7237453814160523e-05, 'epoch': 0.04}

 50%|████▉     | 4979/10000 [12:44:24<16:22:10, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8911391496658325, dino_loss: 0.66796875, depth_loss: 0.04999133571982384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8502010107040405, dino_loss: 0.7109375, depth_loss: 0.06924055516719818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4980/10000 [12:44:36<16:15:06, 11.65s/it]
                                                          
{'loss': 1.8104, 'grad_norm': 3.06514573097229, 'learning_rate': 2.722921951984927e-05, 'epoch': 0.04}

 50%|████▉     | 4980/10000 [12:44:36<16:15:06, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.00325345993042, dino_loss: 0.71875, depth_loss: 0.04736293852329254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6527497172355652, dino_loss: 0.62890625, depth_loss: 0.06358282268047333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4981/10000 [12:44:47<16:15:01, 11.66s/it]
                                                          
{'loss': 2.2377, 'grad_norm': 5.315256118774414, 'learning_rate': 2.7220984981753912e-05, 'epoch': 0.04}

 50%|████▉     | 4981/10000 [12:44:47<16:15:01, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7985699772834778, dino_loss: 0.7109375, depth_loss: 0.06873372942209244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.958898663520813, dino_loss: 0.66796875, depth_loss: 0.067051962018013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4982/10000 [12:44:59<16:09:43, 11.60s/it]
                                                          
{'loss': 2.2635, 'grad_norm': 3.2847325801849365, 'learning_rate': 2.721275020077498e-05, 'epoch': 0.04}

 50%|████▉     | 4982/10000 [12:44:59<16:09:43, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8308560848236084, dino_loss: 0.7109375, depth_loss: 0.05860462412238121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7699704170227051, dino_loss: 0.72265625, depth_loss: 0.06984609365463257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4983/10000 [12:45:11<16:16:58, 11.68s/it]
                                                          
{'loss': 2.3219, 'grad_norm': 3.5668818950653076, 'learning_rate': 2.7204515177813017e-05, 'epoch': 0.04}

 50%|████▉     | 4983/10000 [12:45:11<16:16:58, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9837104082107544, dino_loss: 0.68359375, depth_loss: 0.051776155829429626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9117102026939392, dino_loss: 0.66015625, depth_loss: 0.0721307098865509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4984/10000 [12:45:22<16:18:26, 11.70s/it]
                                                          
{'loss': 2.2946, 'grad_norm': 12.546243667602539, 'learning_rate': 2.7196279913768584e-05, 'epoch': 0.04}

 50%|████▉     | 4984/10000 [12:45:22<16:18:26, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 2
seg_loss: 0.7636855840682983, dino_loss: 0.61328125, depth_loss: 0.05055266618728638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1321532726287842, dino_loss: 0.67578125, depth_loss: 0.06016010046005249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4985/10000 [12:45:34<16:19:00, 11.71s/it]
                                                          
{'loss': 2.1387, 'grad_norm': 6.471747875213623, 'learning_rate': 2.7188044409542278e-05, 'epoch': 0.04}

 50%|████▉     | 4985/10000 [12:45:34<16:19:00, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9030076265335083, dino_loss: 0.703125, depth_loss: 0.06418581306934357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9206293821334839, dino_loss: 0.6328125, depth_loss: 0.06605450809001923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4986/10000 [12:45:46<16:23:54, 11.77s/it]
                                                          
{'loss': 2.2863, 'grad_norm': 3.3148844242095947, 'learning_rate': 2.7179808666034734e-05, 'epoch': 0.04}

 50%|████▉     | 4986/10000 [12:45:46<16:23:54, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7915841937065125, dino_loss: 0.66015625, depth_loss: 0.05886036530137062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.3613626956939697, dino_loss: 0.7109375, depth_loss: 0.05406159162521362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4987/10000 [12:45:58<16:37:34, 11.94s/it]
                                                          
{'loss': 2.6054, 'grad_norm': 4.856374740600586, 'learning_rate': 2.7171572684146583e-05, 'epoch': 0.04}

 50%|████▉     | 4987/10000 [12:45:58<16:37:34, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8144572973251343, dino_loss: 0.64453125, depth_loss: 0.048812493681907654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.904999315738678, dino_loss: 0.73046875, depth_loss: 0.06235616281628609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4988/10000 [12:46:10<16:36:35, 11.93s/it]
                                                          
{'loss': 2.4676, 'grad_norm': 2.375476598739624, 'learning_rate': 2.716333646477851e-05, 'epoch': 0.04}

 50%|████▉     | 4988/10000 [12:46:10<16:36:35, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0190327167510986, dino_loss: 0.6796875, depth_loss: 0.06771957874298096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0718127489089966, dino_loss: 0.66796875, depth_loss: 0.06937631964683533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4989/10000 [12:46:21<16:14:46, 11.67s/it]
                                                          
{'loss': 2.4234, 'grad_norm': 4.274041652679443, 'learning_rate': 2.715510000883122e-05, 'epoch': 0.04}

 50%|████▉     | 4989/10000 [12:46:21<16:14:46, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8521571159362793, dino_loss: 0.6640625, depth_loss: 0.05334455147385597, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1423691511154175, dino_loss: 0.6484375, depth_loss: 0.06906253099441528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4990/10000 [12:46:32<16:00:43, 11.51s/it]
                                                          
{'loss': 2.1144, 'grad_norm': 2.608119487762451, 'learning_rate': 2.7146863317205427e-05, 'epoch': 0.04}

 50%|████▉     | 4990/10000 [12:46:32<16:00:43, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8499748110771179, dino_loss: 0.6875, depth_loss: 0.05477086082100868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.045501470565796, dino_loss: 0.71875, depth_loss: 0.06699369847774506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4991/10000 [12:46:45<16:16:57, 11.70s/it]
                                                          
{'loss': 2.5763, 'grad_norm': 3.785956621170044, 'learning_rate': 2.7138626390801892e-05, 'epoch': 0.04}

 50%|████▉     | 4991/10000 [12:46:45<16:16:57, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8537926077842712, dino_loss: 0.7109375, depth_loss: 0.05532035976648331, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6388792395591736, dino_loss: 0.63671875, depth_loss: 0.06946222484111786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4992/10000 [12:46:56<16:20:57, 11.75s/it]
                                                          
{'loss': 2.324, 'grad_norm': 3.1501755714416504, 'learning_rate': 2.7130389230521392e-05, 'epoch': 0.04}

 50%|████▉     | 4992/10000 [12:46:56<16:20:57, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6987571716308594, dino_loss: 0.64453125, depth_loss: 0.06491795927286148, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8850725293159485, dino_loss: 0.734375, depth_loss: 0.053968049585819244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4993/10000 [12:47:08<16:15:09, 11.69s/it]
                                                          
{'loss': 1.6707, 'grad_norm': 6.83990478515625, 'learning_rate': 2.7122151837264725e-05, 'epoch': 0.04}

 50%|████▉     | 4993/10000 [12:47:08<16:15:09, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9499741792678833, dino_loss: 0.6953125, depth_loss: 0.049934692680835724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7443373203277588, dino_loss: 0.69921875, depth_loss: 0.05629083514213562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4994/10000 [12:47:20<16:27:56, 11.84s/it]
                                                          
{'loss': 2.2632, 'grad_norm': 3.217237710952759, 'learning_rate': 2.7113914211932722e-05, 'epoch': 0.04}

 50%|████▉     | 4994/10000 [12:47:20<16:27:56, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9098601341247559, dino_loss: 0.6640625, depth_loss: 0.0453341118991375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5630605816841125, dino_loss: 0.6171875, depth_loss: 0.04392414540052414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4995/10000 [12:47:32<16:36:38, 11.95s/it]
                                                          
{'loss': 1.7645, 'grad_norm': 2.2386372089385986, 'learning_rate': 2.7105676355426248e-05, 'epoch': 0.04}

 50%|████▉     | 4995/10000 [12:47:32<16:36:38, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9986138343811035, dino_loss: 0.67578125, depth_loss: 0.05666698142886162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8357077240943909, dino_loss: 0.75, depth_loss: 0.06664338707923889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4996/10000 [12:47:44<16:27:39, 11.84s/it]
                                                          
{'loss': 2.3151, 'grad_norm': 4.097300052642822, 'learning_rate': 2.709743826864617e-05, 'epoch': 0.04}

 50%|████▉     | 4996/10000 [12:47:44<16:27:39, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8888083100318909, dino_loss: 0.66796875, depth_loss: 0.06409817934036255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7928045392036438, dino_loss: 0.66015625, depth_loss: 0.0472242645919323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4997/10000 [12:47:56<16:38:28, 11.97s/it]
                                                          
{'loss': 2.3691, 'grad_norm': 2.0368943214416504, 'learning_rate': 2.708919995249339e-05, 'epoch': 0.04}

 50%|████▉     | 4997/10000 [12:47:56<16:38:28, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8601672053337097, dino_loss: 0.7109375, depth_loss: 0.06255334615707397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0938228368759155, dino_loss: 0.6796875, depth_loss: 0.05201001092791557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4998/10000 [12:48:08<16:22:11, 11.78s/it]
                                                          
{'loss': 2.2911, 'grad_norm': 4.16341495513916, 'learning_rate': 2.7080961407868848e-05, 'epoch': 0.04}

 50%|████▉     | 4998/10000 [12:48:08<16:22:11, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9245436191558838, dino_loss: 0.70703125, depth_loss: 0.07113812118768692, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8531665205955505, dino_loss: 0.703125, depth_loss: 0.06960412114858627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|████▉     | 4999/10000 [12:48:19<16:18:24, 11.74s/it]
                                                          
{'loss': 2.2137, 'grad_norm': 3.9103589057922363, 'learning_rate': 2.7072722635673493e-05, 'epoch': 0.04}

 50%|████▉     | 4999/10000 [12:48:19<16:18:24, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.731482982635498, dino_loss: 0.66015625, depth_loss: 0.04503634199500084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8215271830558777, dino_loss: 0.73828125, depth_loss: 0.07832187414169312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5000/10000 [12:48:31<16:29:53, 11.88s/it]
                                                          
{'loss': 1.9887, 'grad_norm': 2.2765302658081055, 'learning_rate': 2.7064483636808313e-05, 'epoch': 0.04}

 50%|█████     | 5000/10000 [12:48:31<16:29:53, 11.88s/it]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
/root/miniconda3/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
  warnings.warn(  # warn only once
/root/miniconda3/lib/python3.12/site-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8230963945388794, dino_loss: 0.7109375, depth_loss: 0.06500101089477539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9214451313018799, dino_loss: 0.71875, depth_loss: 0.061800964176654816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5001/10000 [12:50:06<50:45:48, 36.56s/it]
                                                          
{'loss': 2.4739, 'grad_norm': 2.8304083347320557, 'learning_rate': 2.7056244412174297e-05, 'epoch': 0.04}

 50%|█████     | 5001/10000 [12:50:06<50:45:48, 36.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8702744245529175, dino_loss: 0.71875, depth_loss: 0.061360057443380356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.965535044670105, dino_loss: 0.72265625, depth_loss: 0.07710586488246918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5002/10000 [12:50:17<40:19:38, 29.05s/it]
                                                          
{'loss': 2.2025, 'grad_norm': 3.0284693241119385, 'learning_rate': 2.704800496267249e-05, 'epoch': 0.04}

 50%|█████     | 5002/10000 [12:50:17<40:19:38, 29.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8789876699447632, dino_loss: 0.7109375, depth_loss: 0.0634196549654007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7450572848320007, dino_loss: 0.6953125, depth_loss: 0.06793525069952011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5003/10000 [12:50:29<33:01:57, 23.80s/it]
                                                          
{'loss': 2.1497, 'grad_norm': 3.2253036499023438, 'learning_rate': 2.7039765289203946e-05, 'epoch': 0.04}

 50%|█████     | 5003/10000 [12:50:29<33:01:57, 23.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7379714250564575, dino_loss: 0.62890625, depth_loss: 0.06668105721473694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8674821853637695, dino_loss: 0.70703125, depth_loss: 0.0658307671546936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5004/10000 [12:50:40<28:03:41, 20.22s/it]
                                                          
{'loss': 2.3793, 'grad_norm': 1.615756869316101, 'learning_rate': 2.703152539266972e-05, 'epoch': 0.05}

 50%|█████     | 5004/10000 [12:50:40<28:03:41, 20.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7905567288398743, dino_loss: 0.7109375, depth_loss: 0.06926710158586502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8586390018463135, dino_loss: 0.6875, depth_loss: 0.04945073649287224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5005/10000 [12:50:52<24:20:16, 17.54s/it]
                                                          
{'loss': 2.0654, 'grad_norm': 4.387635231018066, 'learning_rate': 2.7023285273970945e-05, 'epoch': 0.05}

 50%|█████     | 5005/10000 [12:50:52<24:20:16, 17.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.831845223903656, dino_loss: 0.6796875, depth_loss: 0.055858585983514786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9189097881317139, dino_loss: 0.703125, depth_loss: 0.06803973764181137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5006/10000 [12:51:04<21:56:54, 15.82s/it]
                                                          
{'loss': 2.5575, 'grad_norm': 3.6833205223083496, 'learning_rate': 2.701504493400873e-05, 'epoch': 0.05}

 50%|█████     | 5006/10000 [12:51:04<21:56:54, 15.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8895618915557861, dino_loss: 0.64453125, depth_loss: 0.05003347992897034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7910435199737549, dino_loss: 0.67578125, depth_loss: 0.0693594366312027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5007/10000 [12:51:16<20:23:55, 14.71s/it]
                                                          
{'loss': 1.8493, 'grad_norm': 3.371063709259033, 'learning_rate': 2.700680437368423e-05, 'epoch': 0.05}

 50%|█████     | 5007/10000 [12:51:16<20:23:55, 14.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9772820472717285, dino_loss: 0.73828125, depth_loss: 0.06767644733190536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8286572694778442, dino_loss: 0.7265625, depth_loss: 0.07658188790082932, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5008/10000 [12:51:28<19:13:24, 13.86s/it]
                                                          
{'loss': 2.4784, 'grad_norm': 5.274844169616699, 'learning_rate': 2.6998563593898623e-05, 'epoch': 0.05}

 50%|█████     | 5008/10000 [12:51:28<19:13:24, 13.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8062494993209839, dino_loss: 0.69921875, depth_loss: 0.0574759803712368, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.760002851486206, dino_loss: 0.6796875, depth_loss: 0.05043109878897667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5009/10000 [12:51:39<18:04:33, 13.04s/it]
                                                          
{'loss': 1.8046, 'grad_norm': 1.4459459781646729, 'learning_rate': 2.699032259555311e-05, 'epoch': 0.05}

 50%|█████     | 5009/10000 [12:51:39<18:04:33, 13.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8254996538162231, dino_loss: 0.7265625, depth_loss: 0.06049181520938873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8575901985168457, dino_loss: 0.76171875, depth_loss: 0.07395175099372864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5010/10000 [12:51:50<17:18:28, 12.49s/it]
                                                          
{'loss': 2.1197, 'grad_norm': 5.93959903717041, 'learning_rate': 2.6982081379548896e-05, 'epoch': 0.05}

 50%|█████     | 5010/10000 [12:51:50<17:18:28, 12.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.009501576423645, dino_loss: 0.703125, depth_loss: 0.07388854771852493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7470446825027466, dino_loss: 0.671875, depth_loss: 0.05650384724140167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5011/10000 [12:52:02<17:21:18, 12.52s/it]
                                                          
{'loss': 2.4507, 'grad_norm': 4.304078102111816, 'learning_rate': 2.6973839946787254e-05, 'epoch': 0.05}

 50%|█████     | 5011/10000 [12:52:02<17:21:18, 12.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7537166476249695, dino_loss: 0.64453125, depth_loss: 0.04973529279232025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9285566210746765, dino_loss: 0.70703125, depth_loss: 0.09382477402687073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5012/10000 [12:52:14<16:50:48, 12.16s/it]
                                                          
{'loss': 1.881, 'grad_norm': 2.394113302230835, 'learning_rate': 2.696559829816944e-05, 'epoch': 0.05}

 50%|█████     | 5012/10000 [12:52:14<16:50:48, 12.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8904983401298523, dino_loss: 0.72265625, depth_loss: 0.08048710227012634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8641111850738525, dino_loss: 0.70703125, depth_loss: 0.06970320641994476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5013/10000 [12:52:25<16:37:57, 12.01s/it]
                                                          
{'loss': 2.4189, 'grad_norm': 6.959613800048828, 'learning_rate': 2.6957356434596752e-05, 'epoch': 0.05}

 50%|█████     | 5013/10000 [12:52:25<16:37:57, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9395045042037964, dino_loss: 0.703125, depth_loss: 0.08210721611976624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.047316551208496, dino_loss: 0.6953125, depth_loss: 0.06774954497814178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5014/10000 [12:52:37<16:17:28, 11.76s/it]
                                                          
{'loss': 2.086, 'grad_norm': 3.5029120445251465, 'learning_rate': 2.6949114356970513e-05, 'epoch': 0.05}

 50%|█████     | 5014/10000 [12:52:37<16:17:28, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7702972888946533, dino_loss: 0.6015625, depth_loss: 0.05028148740530014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8767343759536743, dino_loss: 0.640625, depth_loss: 0.08272972702980042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5015/10000 [12:52:49<16:20:31, 11.80s/it]
                                                          
{'loss': 2.0248, 'grad_norm': 3.65659761428833, 'learning_rate': 2.6940872066192052e-05, 'epoch': 0.05}

 50%|█████     | 5015/10000 [12:52:49<16:20:31, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7462739944458008, dino_loss: 0.66015625, depth_loss: 0.04560060426592827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.701725959777832, dino_loss: 0.71875, depth_loss: 0.06834003329277039, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5016/10000 [12:53:01<16:31:41, 11.94s/it]
                                                          
{'loss': 2.5471, 'grad_norm': 2.484330177307129, 'learning_rate': 2.6932629563162743e-05, 'epoch': 0.05}

 50%|█████     | 5016/10000 [12:53:01<16:31:41, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8690354228019714, dino_loss: 0.66015625, depth_loss: 0.04359187185764313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8290371298789978, dino_loss: 0.7265625, depth_loss: 0.059560973197221756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5017/10000 [12:53:14<16:53:24, 12.20s/it]
                                                          
{'loss': 2.6997, 'grad_norm': 4.650343418121338, 'learning_rate': 2.6924386848783962e-05, 'epoch': 0.05}

 50%|█████     | 5017/10000 [12:53:14<16:53:24, 12.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8310316205024719, dino_loss: 0.640625, depth_loss: 0.052953965961933136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.7959927320480347, dino_loss: 0.6640625, depth_loss: 0.051910292357206345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5018/10000 [12:53:25<16:33:03, 11.96s/it]
                                                          
{'loss': 1.835, 'grad_norm': 4.77316951751709, 'learning_rate': 2.6916143923957138e-05, 'epoch': 0.05}

 50%|█████     | 5018/10000 [12:53:25<16:33:03, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9715574383735657, dino_loss: 0.69921875, depth_loss: 0.07693969458341599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7835949659347534, dino_loss: 0.64453125, depth_loss: 0.04658003896474838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5019/10000 [12:53:36<16:18:00, 11.78s/it]
                                                          
{'loss': 2.2398, 'grad_norm': 3.179671287536621, 'learning_rate': 2.6907900789583697e-05, 'epoch': 0.05}

 50%|█████     | 5019/10000 [12:53:36<16:18:00, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8686802387237549, dino_loss: 0.64453125, depth_loss: 0.04929883033037186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7316543459892273, dino_loss: 0.7578125, depth_loss: 0.05558085814118385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5020/10000 [12:53:48<16:09:41, 11.68s/it]
                                                          
{'loss': 2.0334, 'grad_norm': 3.997448444366455, 'learning_rate': 2.689965744656508e-05, 'epoch': 0.05}

 50%|█████     | 5020/10000 [12:53:48<16:09:41, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.730202317237854, dino_loss: 0.66015625, depth_loss: 0.0525740422308445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0790058374404907, dino_loss: 0.64453125, depth_loss: 0.04874516651034355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5021/10000 [12:53:59<15:59:18, 11.56s/it]
                                                          
{'loss': 1.9331, 'grad_norm': 3.606933832168579, 'learning_rate': 2.689141389580279e-05, 'epoch': 0.05}

 50%|█████     | 5021/10000 [12:53:59<15:59:18, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6757776737213135, dino_loss: 0.6328125, depth_loss: 0.046377506107091904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.77520751953125, dino_loss: 0.65234375, depth_loss: 0.05442231893539429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5022/10000 [12:54:11<16:13:47, 11.74s/it]
                                                          
{'loss': 1.8624, 'grad_norm': 4.449479579925537, 'learning_rate': 2.6883170138198323e-05, 'epoch': 0.05}

 50%|█████     | 5022/10000 [12:54:11<16:13:47, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9966057538986206, dino_loss: 0.73828125, depth_loss: 0.0636201724410057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9113039970397949, dino_loss: 0.6875, depth_loss: 0.06301024556159973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5023/10000 [12:54:23<16:13:53, 11.74s/it]
                                                          
{'loss': 2.2802, 'grad_norm': 3.6294403076171875, 'learning_rate': 2.6874926174653196e-05, 'epoch': 0.05}

 50%|█████     | 5023/10000 [12:54:23<16:13:53, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7881098985671997, dino_loss: 0.6328125, depth_loss: 0.06468485295772552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7815945744514465, dino_loss: 0.71484375, depth_loss: 0.060445405542850494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5024/10000 [12:54:35<16:24:40, 11.87s/it]
                                                          
{'loss': 2.0849, 'grad_norm': 2.3155062198638916, 'learning_rate': 2.686668200606896e-05, 'epoch': 0.05}

 50%|█████     | 5024/10000 [12:54:35<16:24:40, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8975155353546143, dino_loss: 0.71484375, depth_loss: 0.07084055244922638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9729485511779785, dino_loss: 0.6640625, depth_loss: 0.05850037932395935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5025/10000 [12:54:47<16:25:36, 11.89s/it]
                                                          
{'loss': 2.5738, 'grad_norm': 4.160567760467529, 'learning_rate': 2.6858437633347194e-05, 'epoch': 0.05}

 50%|█████     | 5025/10000 [12:54:47<16:25:36, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.875535249710083, dino_loss: 0.65234375, depth_loss: 0.05726919323205948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7063015699386597, dino_loss: 0.69140625, depth_loss: 0.057597748935222626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5026/10000 [12:54:59<16:16:27, 11.78s/it]
                                                          
{'loss': 1.8203, 'grad_norm': 2.783904790878296, 'learning_rate': 2.685019305738947e-05, 'epoch': 0.05}

 50%|█████     | 5026/10000 [12:54:59<16:16:27, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6440913677215576, dino_loss: 0.6796875, depth_loss: 0.05754125863313675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8293155431747437, dino_loss: 0.6484375, depth_loss: 0.06449571251869202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5027/10000 [12:55:11<16:30:16, 11.95s/it]
                                                          
{'loss': 2.0415, 'grad_norm': 2.0047266483306885, 'learning_rate': 2.684194827909743e-05, 'epoch': 0.05}

 50%|█████     | 5027/10000 [12:55:11<16:30:16, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9349913597106934, dino_loss: 0.71484375, depth_loss: 0.0672912672162056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7163240909576416, dino_loss: 0.60546875, depth_loss: 0.04657499119639397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5028/10000 [12:55:23<16:30:05, 11.95s/it]
                                                          
{'loss': 1.8498, 'grad_norm': 3.0099573135375977, 'learning_rate': 2.6833703299372687e-05, 'epoch': 0.05}

 50%|█████     | 5028/10000 [12:55:23<16:30:05, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9743220806121826, dino_loss: 0.6875, depth_loss: 0.062267597764730453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8084779381752014, dino_loss: 0.73046875, depth_loss: 0.07515663653612137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5029/10000 [12:55:34<16:09:44, 11.70s/it]
                                                          
{'loss': 1.9568, 'grad_norm': 2.912386178970337, 'learning_rate': 2.682545811911691e-05, 'epoch': 0.05}

 50%|█████     | 5029/10000 [12:55:34<16:09:44, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8631042242050171, dino_loss: 0.671875, depth_loss: 0.05519242584705353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8768484592437744, dino_loss: 0.73046875, depth_loss: 0.05303634703159332, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5030/10000 [12:55:46<16:14:04, 11.76s/it]
                                                          
{'loss': 2.4085, 'grad_norm': 4.430185317993164, 'learning_rate': 2.681721273923178e-05, 'epoch': 0.05}

 50%|█████     | 5030/10000 [12:55:46<16:14:04, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8534317016601562, dino_loss: 0.69921875, depth_loss: 0.06649848818778992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.921949028968811, dino_loss: 0.7109375, depth_loss: 0.060385510325431824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5031/10000 [12:55:57<16:07:33, 11.68s/it]
                                                          
{'loss': 2.1371, 'grad_norm': 3.95168137550354, 'learning_rate': 2.6808967160618992e-05, 'epoch': 0.05}

 50%|█████     | 5031/10000 [12:55:57<16:07:33, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.801498532295227, dino_loss: 0.62109375, depth_loss: 0.048049941658973694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8590186238288879, dino_loss: 0.62109375, depth_loss: 0.0320478193461895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5032/10000 [12:56:09<16:15:10, 11.78s/it]
                                                          
{'loss': 2.0607, 'grad_norm': 1.9624909162521362, 'learning_rate': 2.6800721384180277e-05, 'epoch': 0.05}

 50%|█████     | 5032/10000 [12:56:09<16:15:10, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7666438817977905, dino_loss: 0.65234375, depth_loss: 0.059582311660051346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7519633173942566, dino_loss: 0.64453125, depth_loss: 0.04742443189024925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5033/10000 [12:56:21<16:13:26, 11.76s/it]
                                                          
{'loss': 1.7073, 'grad_norm': 2.6591684818267822, 'learning_rate': 2.679247541081738e-05, 'epoch': 0.05}

 50%|█████     | 5033/10000 [12:56:21<16:13:26, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0344874858856201, dino_loss: 0.71875, depth_loss: 0.06936681270599365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6740365028381348, dino_loss: 0.62109375, depth_loss: 0.06535449624061584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5034/10000 [12:56:33<16:09:02, 11.71s/it]
                                                          
{'loss': 2.1225, 'grad_norm': 2.5074243545532227, 'learning_rate': 2.6784229241432067e-05, 'epoch': 0.05}

 50%|█████     | 5034/10000 [12:56:33<16:09:02, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8606760501861572, dino_loss: 0.71484375, depth_loss: 0.07448096573352814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8990115523338318, dino_loss: 0.6875, depth_loss: 0.05487610399723053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5035/10000 [12:56:44<15:48:51, 11.47s/it]
                                                          
{'loss': 1.9594, 'grad_norm': 5.541238784790039, 'learning_rate': 2.6775982876926126e-05, 'epoch': 0.05}

 50%|█████     | 5035/10000 [12:56:44<15:48:51, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8282020092010498, dino_loss: 0.7421875, depth_loss: 0.05498688295483589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8550630211830139, dino_loss: 0.7578125, depth_loss: 0.05971180647611618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5036/10000 [12:56:54<15:31:41, 11.26s/it]
                                                          
{'loss': 1.9725, 'grad_norm': 2.2623791694641113, 'learning_rate': 2.6767736318201364e-05, 'epoch': 0.05}

 50%|█████     | 5036/10000 [12:56:54<15:31:41, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7329752445220947, dino_loss: 0.6640625, depth_loss: 0.04889236390590668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 1
seg_loss: 0.7923187017440796, dino_loss: 0.74609375, depth_loss: 0.06275712698698044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5037/10000 [12:57:06<15:36:17, 11.32s/it]
                                                          
{'loss': 2.0444, 'grad_norm': 4.550655841827393, 'learning_rate': 2.6759489566159624e-05, 'epoch': 0.05}

 50%|█████     | 5037/10000 [12:57:06<15:36:17, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.78083336353302, dino_loss: 0.73828125, depth_loss: 0.060859620571136475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7323693037033081, dino_loss: 0.6484375, depth_loss: 0.046379152685403824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5038/10000 [12:57:18<15:48:14, 11.47s/it]
                                                          
{'loss': 2.1345, 'grad_norm': 3.350583553314209, 'learning_rate': 2.675124262170275e-05, 'epoch': 0.05}

 50%|█████     | 5038/10000 [12:57:18<15:48:14, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6266138553619385, dino_loss: 0.6484375, depth_loss: 0.05480227619409561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7766619920730591, dino_loss: 0.65234375, depth_loss: 0.044565342366695404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5039/10000 [12:57:29<15:54:25, 11.54s/it]
                                                          
{'loss': 1.6203, 'grad_norm': 2.8841166496276855, 'learning_rate': 2.6742995485732606e-05, 'epoch': 0.05}

 50%|█████     | 5039/10000 [12:57:29<15:54:25, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8210266828536987, dino_loss: 0.671875, depth_loss: 0.04343263432383537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.938644528388977, dino_loss: 0.6640625, depth_loss: 0.0719340443611145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5040/10000 [12:57:41<15:50:42, 11.50s/it]
                                                          
{'loss': 2.1213, 'grad_norm': 2.764591693878174, 'learning_rate': 2.6734748159151102e-05, 'epoch': 0.05}

 50%|█████     | 5040/10000 [12:57:41<15:50:42, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9457644820213318, dino_loss: 0.6875, depth_loss: 0.06364104151725769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.647129237651825, dino_loss: 0.6484375, depth_loss: 0.058381058275699615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5041/10000 [12:57:53<15:56:24, 11.57s/it]
                                                          
{'loss': 2.0992, 'grad_norm': 3.5615580081939697, 'learning_rate': 2.6726500642860154e-05, 'epoch': 0.05}

 50%|█████     | 5041/10000 [12:57:53<15:56:24, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0083099603652954, dino_loss: 0.72265625, depth_loss: 0.06282781064510345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7720592021942139, dino_loss: 0.703125, depth_loss: 0.07665815949440002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5042/10000 [12:58:04<15:57:04, 11.58s/it]
                                                          
{'loss': 2.1118, 'grad_norm': 3.6352360248565674, 'learning_rate': 2.671825293776168e-05, 'epoch': 0.05}

 50%|█████     | 5042/10000 [12:58:04<15:57:04, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0191564559936523, dino_loss: 0.69140625, depth_loss: 0.07873459905385971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9993164539337158, dino_loss: 0.70703125, depth_loss: 0.07041613757610321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5043/10000 [12:58:16<16:03:26, 11.66s/it]
                                                          
{'loss': 2.6768, 'grad_norm': 3.089155435562134, 'learning_rate': 2.671000504475765e-05, 'epoch': 0.05}

 50%|█████     | 5043/10000 [12:58:16<16:03:26, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8685925602912903, dino_loss: 0.6953125, depth_loss: 0.07454902678728104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7421131134033203, dino_loss: 0.6796875, depth_loss: 0.0742487832903862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5044/10000 [12:58:28<16:21:09, 11.88s/it]
                                                          
{'loss': 2.149, 'grad_norm': 7.02030086517334, 'learning_rate': 2.6701756964750048e-05, 'epoch': 0.05}

 50%|█████     | 5044/10000 [12:58:28<16:21:09, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8004534244537354, dino_loss: 0.6484375, depth_loss: 0.056298352777957916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7758578062057495, dino_loss: 0.69140625, depth_loss: 0.060123853385448456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5045/10000 [12:58:40<16:13:29, 11.79s/it]
                                                          
{'loss': 1.9677, 'grad_norm': 3.2538561820983887, 'learning_rate': 2.6693508698640852e-05, 'epoch': 0.05}

 50%|█████     | 5045/10000 [12:58:40<16:13:29, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9116617441177368, dino_loss: 0.69140625, depth_loss: 0.059059854596853256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9441964626312256, dino_loss: 0.73046875, depth_loss: 0.06241868808865547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5046/10000 [12:58:52<16:08:32, 11.73s/it]
                                                          
{'loss': 2.3606, 'grad_norm': 3.364259958267212, 'learning_rate': 2.66852602473321e-05, 'epoch': 0.05}

 50%|█████     | 5046/10000 [12:58:52<16:08:32, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8923143148422241, dino_loss: 0.60546875, depth_loss: 0.05489874631166458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.764403223991394, dino_loss: 0.703125, depth_loss: 0.05780380219221115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5047/10000 [12:59:04<16:14:44, 11.81s/it]
                                                          
{'loss': 1.9894, 'grad_norm': 6.755740165710449, 'learning_rate': 2.667701161172581e-05, 'epoch': 0.05}

 50%|█████     | 5047/10000 [12:59:04<16:14:44, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8780772686004639, dino_loss: 0.6953125, depth_loss: 0.053542349487543106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9619997143745422, dino_loss: 0.671875, depth_loss: 0.06804495304822922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5048/10000 [12:59:15<16:10:08, 11.75s/it]
                                                          
{'loss': 2.3749, 'grad_norm': 2.507852554321289, 'learning_rate': 2.666876279272407e-05, 'epoch': 0.05}

 50%|█████     | 5048/10000 [12:59:15<16:10:08, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.828083336353302, dino_loss: 0.65625, depth_loss: 0.05972374230623245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8217633962631226, dino_loss: 0.70703125, depth_loss: 0.061120353639125824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5049/10000 [12:59:27<16:04:54, 11.69s/it]
                                                          
{'loss': 2.047, 'grad_norm': 3.2537856101989746, 'learning_rate': 2.6660513791228918e-05, 'epoch': 0.05}

 50%|█████     | 5049/10000 [12:59:27<16:04:54, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0120898485183716, dino_loss: 0.734375, depth_loss: 0.0749281644821167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.005704641342163, dino_loss: 0.68359375, depth_loss: 0.07058431208133698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 50%|█████     | 5050/10000 [12:59:38<15:58:58, 11.62s/it]
                                                          
{'loss': 2.3709, 'grad_norm': 3.947352647781372, 'learning_rate': 2.6652264608142484e-05, 'epoch': 0.05}

 50%|█████     | 5050/10000 [12:59:38<15:58:58, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8754281401634216, dino_loss: 0.75, depth_loss: 0.06693701446056366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8661925196647644, dino_loss: 0.71875, depth_loss: 0.07624637335538864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5051/10000 [12:59:50<15:57:45, 11.61s/it]
                                                          
{'loss': 2.3215, 'grad_norm': 4.551741123199463, 'learning_rate': 2.6644015244366883e-05, 'epoch': 0.05}

 51%|█████     | 5051/10000 [12:59:50<15:57:45, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0135349035263062, dino_loss: 0.6640625, depth_loss: 0.06976094841957092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8614618182182312, dino_loss: 0.7109375, depth_loss: 0.08121965825557709, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5052/10000 [13:00:02<16:14:45, 11.82s/it]
                                                          
{'loss': 2.4313, 'grad_norm': 6.136465549468994, 'learning_rate': 2.663576570080424e-05, 'epoch': 0.05}

 51%|█████     | 5052/10000 [13:00:02<16:14:45, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8068304061889648, dino_loss: 0.71484375, depth_loss: 0.04807858541607857, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7339584827423096, dino_loss: 0.5859375, depth_loss: 0.047240689396858215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5053/10000 [13:00:14<16:20:55, 11.90s/it]
                                                          
{'loss': 1.901, 'grad_norm': 2.6884520053863525, 'learning_rate': 2.6627515978356722e-05, 'epoch': 0.05}

 51%|█████     | 5053/10000 [13:00:14<16:20:55, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8184428215026855, dino_loss: 0.69921875, depth_loss: 0.07078612595796585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0630182027816772, dino_loss: 0.70703125, depth_loss: 0.0582975298166275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5054/10000 [13:00:25<16:01:15, 11.66s/it]
                                                          
{'loss': 1.9762, 'grad_norm': 3.1607017517089844, 'learning_rate': 2.6619266077926504e-05, 'epoch': 0.05}

 51%|█████     | 5054/10000 [13:00:25<16:01:15, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8212627172470093, dino_loss: 0.671875, depth_loss: 0.05783022195100784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8201087713241577, dino_loss: 0.71484375, depth_loss: 0.05372728407382965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5055/10000 [13:00:38<16:29:36, 12.01s/it]
                                                          
{'loss': 2.2253, 'grad_norm': 2.5834574699401855, 'learning_rate': 2.661101600041577e-05, 'epoch': 0.05}

 51%|█████     | 5055/10000 [13:00:38<16:29:36, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8897636532783508, dino_loss: 0.68359375, depth_loss: 0.0818064957857132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8380193710327148, dino_loss: 0.70703125, depth_loss: 0.07314105331897736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5056/10000 [13:00:50<16:24:12, 11.94s/it]
                                                          
{'loss': 2.1138, 'grad_norm': 3.034700632095337, 'learning_rate': 2.6602765746726767e-05, 'epoch': 0.05}

 51%|█████     | 5056/10000 [13:00:50<16:24:12, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9636213183403015, dino_loss: 0.65625, depth_loss: 0.055006470531225204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9534220695495605, dino_loss: 0.70703125, depth_loss: 0.07419907301664352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5057/10000 [13:01:01<16:07:17, 11.74s/it]
                                                          
{'loss': 2.2816, 'grad_norm': 5.624624252319336, 'learning_rate': 2.6594515317761705e-05, 'epoch': 0.05}

 51%|█████     | 5057/10000 [13:01:01<16:07:17, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8278800249099731, dino_loss: 0.703125, depth_loss: 0.07950155436992645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8519638776779175, dino_loss: 0.69921875, depth_loss: 0.05609316751360893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5058/10000 [13:01:13<16:11:32, 11.80s/it]
                                                          
{'loss': 2.3029, 'grad_norm': 2.0225327014923096, 'learning_rate': 2.6586264714422836e-05, 'epoch': 0.05}

 51%|█████     | 5058/10000 [13:01:13<16:11:32, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8579879403114319, dino_loss: 0.72265625, depth_loss: 0.06261126697063446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.651868462562561, dino_loss: 0.62109375, depth_loss: 0.06190083920955658, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5059/10000 [13:01:25<16:10:34, 11.79s/it]
                                                          
{'loss': 1.743, 'grad_norm': 2.2266435623168945, 'learning_rate': 2.6578013937612456e-05, 'epoch': 0.05}

 51%|█████     | 5059/10000 [13:01:25<16:10:34, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.918923020362854, dino_loss: 0.72265625, depth_loss: 0.05992613360285759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.797722339630127, dino_loss: 0.625, depth_loss: 0.05546104907989502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5060/10000 [13:01:36<15:53:39, 11.58s/it]
                                                          
{'loss': 1.8363, 'grad_norm': 3.446704864501953, 'learning_rate': 2.656976298823284e-05, 'epoch': 0.05}

 51%|█████     | 5060/10000 [13:01:36<15:53:39, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7853425741195679, dino_loss: 0.73828125, depth_loss: 0.05187884718179703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8730867505073547, dino_loss: 0.6875, depth_loss: 0.08200022578239441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5061/10000 [13:01:47<15:36:15, 11.37s/it]
                                                          
{'loss': 1.7932, 'grad_norm': 2.1071715354919434, 'learning_rate': 2.65615118671863e-05, 'epoch': 0.05}

 51%|█████     | 5061/10000 [13:01:47<15:36:15, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9889570474624634, dino_loss: 0.6875, depth_loss: 0.0668054074048996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7083709239959717, dino_loss: 0.6015625, depth_loss: 0.047388382256031036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5062/10000 [13:01:58<15:43:27, 11.46s/it]
                                                          
{'loss': 2.1765, 'grad_norm': 3.800159454345703, 'learning_rate': 2.6553260575375172e-05, 'epoch': 0.05}

 51%|█████     | 5062/10000 [13:01:58<15:43:27, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8450800776481628, dino_loss: 0.7265625, depth_loss: 0.06345278024673462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7675652503967285, dino_loss: 0.7265625, depth_loss: 0.05901934951543808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5063/10000 [13:02:11<16:00:56, 11.68s/it]
                                                          
{'loss': 2.4305, 'grad_norm': 1.7621726989746094, 'learning_rate': 2.6545009113701802e-05, 'epoch': 0.05}

 51%|█████     | 5063/10000 [13:02:11<16:00:56, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0577032566070557, dino_loss: 0.69921875, depth_loss: 0.07530761510133743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9269231557846069, dino_loss: 0.7578125, depth_loss: 0.08260782808065414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5064/10000 [13:02:23<16:10:57, 11.80s/it]
                                                          
{'loss': 2.6104, 'grad_norm': 1.9368414878845215, 'learning_rate': 2.6536757483068557e-05, 'epoch': 0.05}

 51%|█████     | 5064/10000 [13:02:23<16:10:57, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8672613501548767, dino_loss: 0.69921875, depth_loss: 0.057167135179042816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7537139654159546, dino_loss: 0.66796875, depth_loss: 0.04824162274599075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5065/10000 [13:02:34<16:08:30, 11.78s/it]
                                                          
{'loss': 2.2126, 'grad_norm': 2.252262592315674, 'learning_rate': 2.652850568437783e-05, 'epoch': 0.05}

 51%|█████     | 5065/10000 [13:02:34<16:08:30, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8507546186447144, dino_loss: 0.6875, depth_loss: 0.05688678100705147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0499982833862305, dino_loss: 0.734375, depth_loss: 0.06575849652290344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5066/10000 [13:02:46<15:52:53, 11.59s/it]
                                                          
{'loss': 1.9369, 'grad_norm': 1.6737862825393677, 'learning_rate': 2.6520253718532017e-05, 'epoch': 0.05}

 51%|█████     | 5066/10000 [13:02:46<15:52:53, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7102987766265869, dino_loss: 0.62890625, depth_loss: 0.05493849515914917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7814317345619202, dino_loss: 0.66796875, depth_loss: 0.05579691380262375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5067/10000 [13:02:58<16:00:11, 11.68s/it]
                                                          
{'loss': 1.5322, 'grad_norm': 5.041394233703613, 'learning_rate': 2.651200158643354e-05, 'epoch': 0.05}

 51%|█████     | 5067/10000 [13:02:58<16:00:11, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.894128680229187, dino_loss: 0.68359375, depth_loss: 0.04827507585287094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8154841065406799, dino_loss: 0.72265625, depth_loss: 0.06155474856495857, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5068/10000 [13:03:10<16:18:00, 11.90s/it]
                                                          
{'loss': 2.7942, 'grad_norm': 2.47914457321167, 'learning_rate': 2.650374928898485e-05, 'epoch': 0.05}

 51%|█████     | 5068/10000 [13:03:10<16:18:00, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7761777639389038, dino_loss: 0.6015625, depth_loss: 0.04609546810388565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.945572555065155, dino_loss: 0.73046875, depth_loss: 0.07004782557487488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5069/10000 [13:03:21<15:57:18, 11.65s/it]
                                                          
{'loss': 2.0909, 'grad_norm': 2.6177151203155518, 'learning_rate': 2.649549682708839e-05, 'epoch': 0.05}

 51%|█████     | 5069/10000 [13:03:21<15:57:18, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9292215704917908, dino_loss: 0.6796875, depth_loss: 0.0663558840751648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9015662670135498, dino_loss: 0.765625, depth_loss: 0.07200060784816742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5070/10000 [13:03:32<15:49:06, 11.55s/it]
                                                          
{'loss': 1.9011, 'grad_norm': 2.8211236000061035, 'learning_rate': 2.6487244201646645e-05, 'epoch': 0.05}

 51%|█████     | 5070/10000 [13:03:32<15:49:06, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7330942153930664, dino_loss: 0.61328125, depth_loss: 0.05322936177253723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8880276083946228, dino_loss: 0.66015625, depth_loss: 0.03562254458665848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5071/10000 [13:03:44<15:51:15, 11.58s/it]
                                                          
{'loss': 2.0108, 'grad_norm': 2.833315849304199, 'learning_rate': 2.6478991413562116e-05, 'epoch': 0.05}

 51%|█████     | 5071/10000 [13:03:44<15:51:15, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8550580739974976, dino_loss: 0.703125, depth_loss: 0.06308694928884506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8492666482925415, dino_loss: 0.72265625, depth_loss: 0.07191287726163864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5072/10000 [13:03:55<15:45:30, 11.51s/it]
                                                          
{'loss': 2.1759, 'grad_norm': 3.645510196685791, 'learning_rate': 2.6470738463737306e-05, 'epoch': 0.05}

 51%|█████     | 5072/10000 [13:03:55<15:45:30, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7869190573692322, dino_loss: 0.6171875, depth_loss: 0.042106255888938904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8325601816177368, dino_loss: 0.69140625, depth_loss: 0.05148288980126381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5073/10000 [13:04:07<15:53:59, 11.62s/it]
                                                          
{'loss': 1.9348, 'grad_norm': 3.542841911315918, 'learning_rate': 2.6462485353074752e-05, 'epoch': 0.05}

 51%|█████     | 5073/10000 [13:04:07<15:53:59, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.860262393951416, dino_loss: 0.73828125, depth_loss: 0.05025852099061012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6678450107574463, dino_loss: 0.6484375, depth_loss: 0.06633170694112778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5074/10000 [13:04:19<15:55:41, 11.64s/it]
                                                          
{'loss': 2.1464, 'grad_norm': 3.052518129348755, 'learning_rate': 2.6454232082476986e-05, 'epoch': 0.05}

 51%|█████     | 5074/10000 [13:04:19<15:55:41, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7504203915596008, dino_loss: 0.640625, depth_loss: 0.055720068514347076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8534497022628784, dino_loss: 0.703125, depth_loss: 0.06055598333477974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5075/10000 [13:04:30<15:53:35, 11.62s/it]
                                                          
{'loss': 1.9498, 'grad_norm': 2.8282887935638428, 'learning_rate': 2.6445978652846602e-05, 'epoch': 0.05}

 51%|█████     | 5075/10000 [13:04:30<15:53:35, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8250045776367188, dino_loss: 0.68359375, depth_loss: 0.05984429270029068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7263591289520264, dino_loss: 0.62109375, depth_loss: 0.049296144396066666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5076/10000 [13:04:43<16:06:17, 11.77s/it]
                                                          
{'loss': 2.3036, 'grad_norm': 2.1463308334350586, 'learning_rate': 2.6437725065086162e-05, 'epoch': 0.05}

 51%|█████     | 5076/10000 [13:04:43<16:06:17, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7611122131347656, dino_loss: 0.5859375, depth_loss: 0.05598868057131767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8754944801330566, dino_loss: 0.66015625, depth_loss: 0.05146718770265579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5077/10000 [13:04:55<16:14:51, 11.88s/it]
                                                          
{'loss': 2.2616, 'grad_norm': 2.6716153621673584, 'learning_rate': 2.6429471320098266e-05, 'epoch': 0.05}

 51%|█████     | 5077/10000 [13:04:55<16:14:51, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9300087094306946, dino_loss: 0.69140625, depth_loss: 0.0751568153500557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6372615098953247, dino_loss: 0.62109375, depth_loss: 0.04684637486934662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5078/10000 [13:05:07<16:15:12, 11.89s/it]
                                                          
{'loss': 1.9879, 'grad_norm': 3.1602587699890137, 'learning_rate': 2.6421217418785544e-05, 'epoch': 0.05}

 51%|█████     | 5078/10000 [13:05:07<16:15:12, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9097881317138672, dino_loss: 0.75390625, depth_loss: 0.06889760494232178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7231013774871826, dino_loss: 0.734375, depth_loss: 0.07798196375370026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5079/10000 [13:05:19<16:15:23, 11.89s/it]
                                                          
{'loss': 2.387, 'grad_norm': 6.827674865722656, 'learning_rate': 2.6412963362050618e-05, 'epoch': 0.05}

 51%|█████     | 5079/10000 [13:05:19<16:15:23, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6542830467224121, dino_loss: 0.61328125, depth_loss: 0.07185912132263184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8936998844146729, dino_loss: 0.7109375, depth_loss: 0.050273384898900986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5080/10000 [13:05:30<16:03:51, 11.75s/it]
                                                          
{'loss': 2.1554, 'grad_norm': 2.822599172592163, 'learning_rate': 2.6404709150796137e-05, 'epoch': 0.05}

 51%|█████     | 5080/10000 [13:05:30<16:03:51, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7165818810462952, dino_loss: 0.7109375, depth_loss: 0.04241203889250755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.622138261795044, dino_loss: 0.65625, depth_loss: 0.04485255479812622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5081/10000 [13:05:41<15:57:50, 11.68s/it]
                                                          
{'loss': 1.9544, 'grad_norm': 2.9847495555877686, 'learning_rate': 2.6396454785924783e-05, 'epoch': 0.05}

 51%|█████     | 5081/10000 [13:05:41<15:57:50, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8253170847892761, dino_loss: 0.75, depth_loss: 0.0702686607837677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8838444352149963, dino_loss: 0.6875, depth_loss: 0.05938699096441269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5082/10000 [13:05:53<15:53:08, 11.63s/it]
                                                          
{'loss': 1.7998, 'grad_norm': 4.060389995574951, 'learning_rate': 2.638820026833923e-05, 'epoch': 0.05}

 51%|█████     | 5082/10000 [13:05:53<15:53:08, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.9400229454040527, dino_loss: 0.671875, depth_loss: 0.05086953938007355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.886366605758667, dino_loss: 0.6484375, depth_loss: 0.05711319297552109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5083/10000 [13:06:05<15:54:05, 11.64s/it]
                                                          
{'loss': 2.1868, 'grad_norm': 5.038862228393555, 'learning_rate': 2.637994559894218e-05, 'epoch': 0.05}

 51%|█████     | 5083/10000 [13:06:05<15:54:05, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9693447351455688, dino_loss: 0.71484375, depth_loss: 0.07628050446510315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9323846101760864, dino_loss: 0.71484375, depth_loss: 0.07240496575832367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5084/10000 [13:06:16<15:57:44, 11.69s/it]
                                                          
{'loss': 2.6822, 'grad_norm': 5.029531002044678, 'learning_rate': 2.637169077863636e-05, 'epoch': 0.05}

 51%|█████     | 5084/10000 [13:06:16<15:57:44, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.963860809803009, dino_loss: 0.69921875, depth_loss: 0.05543799698352814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9000388383865356, dino_loss: 0.6953125, depth_loss: 0.05802961811423302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5085/10000 [13:06:28<15:44:58, 11.54s/it]
                                                          
{'loss': 2.0674, 'grad_norm': 2.9052393436431885, 'learning_rate': 2.63634358083245e-05, 'epoch': 0.05}

 51%|█████     | 5085/10000 [13:06:28<15:44:58, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8203321695327759, dino_loss: 0.68359375, depth_loss: 0.058642059564590454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8004337549209595, dino_loss: 0.640625, depth_loss: 0.06266176700592041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5086/10000 [13:06:39<15:38:49, 11.46s/it]
                                                          
{'loss': 1.7352, 'grad_norm': 3.330446720123291, 'learning_rate': 2.6355180688909348e-05, 'epoch': 0.05}

 51%|█████     | 5086/10000 [13:06:39<15:38:49, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9053214192390442, dino_loss: 0.66015625, depth_loss: 0.04915532097220421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9205807447433472, dino_loss: 0.67578125, depth_loss: 0.05913589149713516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5087/10000 [13:06:51<16:01:16, 11.74s/it]
                                                          
{'loss': 2.3043, 'grad_norm': 3.5729780197143555, 'learning_rate': 2.6346925421293668e-05, 'epoch': 0.05}

 51%|█████     | 5087/10000 [13:06:51<16:01:16, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5904394388198853, dino_loss: 0.64453125, depth_loss: 0.051019471138715744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8055628538131714, dino_loss: 0.7109375, depth_loss: 0.06698625534772873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5088/10000 [13:07:03<16:11:39, 11.87s/it]
                                                          
{'loss': 1.9123, 'grad_norm': 3.161336898803711, 'learning_rate': 2.633867000638025e-05, 'epoch': 0.05}

 51%|█████     | 5088/10000 [13:07:03<16:11:39, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.778656542301178, dino_loss: 0.7265625, depth_loss: 0.07561299949884415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8233015537261963, dino_loss: 0.6640625, depth_loss: 0.06287313997745514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5089/10000 [13:07:15<16:00:19, 11.73s/it]
                                                          
{'loss': 2.0756, 'grad_norm': 4.466612339019775, 'learning_rate': 2.63304144450719e-05, 'epoch': 0.05}

 51%|█████     | 5089/10000 [13:07:15<16:00:19, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2061281204223633, dino_loss: 0.66796875, depth_loss: 0.07036300748586655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8157075047492981, dino_loss: 0.66015625, depth_loss: 0.05395139381289482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5090/10000 [13:07:26<15:54:48, 11.67s/it]
                                                          
{'loss': 2.1587, 'grad_norm': 3.52188777923584, 'learning_rate': 2.632215873827142e-05, 'epoch': 0.05}

 51%|█████     | 5090/10000 [13:07:26<15:54:48, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8034647107124329, dino_loss: 0.6484375, depth_loss: 0.05594629794359207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7638687491416931, dino_loss: 0.69140625, depth_loss: 0.04682884365320206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5091/10000 [13:07:38<15:55:42, 11.68s/it]
                                                          
{'loss': 2.0414, 'grad_norm': 3.133718252182007, 'learning_rate': 2.6313902886881647e-05, 'epoch': 0.05}

 51%|█████     | 5091/10000 [13:07:38<15:55:42, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8062616586685181, dino_loss: 0.6875, depth_loss: 0.0585155114531517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.047310709953308, dino_loss: 0.734375, depth_loss: 0.0612601675093174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5092/10000 [13:07:49<15:47:16, 11.58s/it]
                                                          
{'loss': 2.1122, 'grad_norm': 3.7112300395965576, 'learning_rate': 2.6305646891805435e-05, 'epoch': 0.05}

 51%|█████     | 5092/10000 [13:07:49<15:47:16, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8527172207832336, dino_loss: 0.6796875, depth_loss: 0.06013625115156174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8260061144828796, dino_loss: 0.6796875, depth_loss: 0.05811264365911484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5093/10000 [13:08:01<15:50:26, 11.62s/it]
                                                          
{'loss': 2.408, 'grad_norm': 3.124650001525879, 'learning_rate': 2.629739075394564e-05, 'epoch': 0.05}

 51%|█████     | 5093/10000 [13:08:01<15:50:26, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6585498452186584, dino_loss: 0.6171875, depth_loss: 0.0532553605735302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8222072124481201, dino_loss: 0.703125, depth_loss: 0.05803229659795761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5094/10000 [13:08:13<15:45:21, 11.56s/it]
                                                          
{'loss': 1.6755, 'grad_norm': 2.503105878829956, 'learning_rate': 2.628913447420514e-05, 'epoch': 0.05}

 51%|█████     | 5094/10000 [13:08:13<15:45:21, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8309534788131714, dino_loss: 0.68359375, depth_loss: 0.06185896694660187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8473025560379028, dino_loss: 0.71484375, depth_loss: 0.06426168233156204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5095/10000 [13:08:24<15:49:15, 11.61s/it]
                                                          
{'loss': 2.2651, 'grad_norm': 3.1595520973205566, 'learning_rate': 2.6280878053486828e-05, 'epoch': 0.05}

 51%|█████     | 5095/10000 [13:08:24<15:49:15, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8844366073608398, dino_loss: 0.76171875, depth_loss: 0.0688234493136406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9440547227859497, dino_loss: 0.7265625, depth_loss: 0.06646430492401123, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5096/10000 [13:08:36<15:47:43, 11.60s/it]
                                                          
{'loss': 2.2622, 'grad_norm': 2.652385950088501, 'learning_rate': 2.627262149269362e-05, 'epoch': 0.05}

 51%|█████     | 5096/10000 [13:08:36<15:47:43, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8204301595687866, dino_loss: 0.703125, depth_loss: 0.07201756536960602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8226161003112793, dino_loss: 0.68359375, depth_loss: 0.06630317866802216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5097/10000 [13:08:48<15:55:40, 11.69s/it]
                                                          
{'loss': 2.2973, 'grad_norm': 2.774479389190674, 'learning_rate': 2.6264364792728446e-05, 'epoch': 0.05}

 51%|█████     | 5097/10000 [13:08:48<15:55:40, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9713411927223206, dino_loss: 0.70703125, depth_loss: 0.05884764343500137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9088865518569946, dino_loss: 0.7109375, depth_loss: 0.06784811615943909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5098/10000 [13:08:59<15:45:22, 11.57s/it]
                                                          
{'loss': 2.0856, 'grad_norm': 4.0915141105651855, 'learning_rate': 2.6256107954494242e-05, 'epoch': 0.05}

 51%|█████     | 5098/10000 [13:08:59<15:45:22, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7542935609817505, dino_loss: 0.68359375, depth_loss: 0.0601116344332695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8357552289962769, dino_loss: 0.71875, depth_loss: 0.06644759327173233, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5099/10000 [13:09:11<15:46:44, 11.59s/it]
                                                          
{'loss': 2.0201, 'grad_norm': 3.619215250015259, 'learning_rate': 2.624785097889395e-05, 'epoch': 0.05}

 51%|█████     | 5099/10000 [13:09:11<15:46:44, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8787397146224976, dino_loss: 0.70703125, depth_loss: 0.047191157937049866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.853801429271698, dino_loss: 0.75390625, depth_loss: 0.05365826189517975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5100/10000 [13:09:22<15:32:06, 11.41s/it]
                                                          
{'loss': 2.1112, 'grad_norm': 2.6916935443878174, 'learning_rate': 2.623959386683056e-05, 'epoch': 0.05}

 51%|█████     | 5100/10000 [13:09:22<15:32:06, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.802577018737793, dino_loss: 0.65625, depth_loss: 0.06580843031406403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.830948531627655, dino_loss: 0.6484375, depth_loss: 0.04746982455253601, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5101/10000 [13:09:34<15:44:12, 11.56s/it]
                                                          
{'loss': 2.1245, 'grad_norm': 3.8351221084594727, 'learning_rate': 2.6231336619207044e-05, 'epoch': 0.05}

 51%|█████     | 5101/10000 [13:09:34<15:44:12, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7766143083572388, dino_loss: 0.75, depth_loss: 0.062338463962078094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.8321506977081299, dino_loss: 0.7109375, depth_loss: 0.06993379443883896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5102/10000 [13:09:45<15:47:03, 11.60s/it]
                                                          
{'loss': 1.9606, 'grad_norm': 3.1218068599700928, 'learning_rate': 2.6223079236926407e-05, 'epoch': 0.05}

 51%|█████     | 5102/10000 [13:09:45<15:47:03, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9659474492073059, dino_loss: 0.69140625, depth_loss: 0.06836315989494324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5174780488014221, dino_loss: 0.62109375, depth_loss: 0.053210362792015076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5103/10000 [13:09:57<15:37:10, 11.48s/it]
                                                          
{'loss': 1.9026, 'grad_norm': 3.2530674934387207, 'learning_rate': 2.6214821720891665e-05, 'epoch': 0.05}

 51%|█████     | 5103/10000 [13:09:57<15:37:10, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7912054061889648, dino_loss: 0.7734375, depth_loss: 0.06328438967466354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9195820689201355, dino_loss: 0.734375, depth_loss: 0.07591655850410461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5104/10000 [13:10:07<15:22:01, 11.30s/it]
                                                          
{'loss': 2.1464, 'grad_norm': 2.834376335144043, 'learning_rate': 2.6206564072005846e-05, 'epoch': 0.05}

 51%|█████     | 5104/10000 [13:10:07<15:22:01, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8881793022155762, dino_loss: 0.68359375, depth_loss: 0.07388913631439209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7955416440963745, dino_loss: 0.6015625, depth_loss: 0.03942587226629257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5105/10000 [13:10:19<15:38:45, 11.51s/it]
                                                          
{'loss': 2.1176, 'grad_norm': 3.7240493297576904, 'learning_rate': 2.6198306291171993e-05, 'epoch': 0.05}

 51%|█████     | 5105/10000 [13:10:19<15:38:45, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8717880249023438, dino_loss: 0.6640625, depth_loss: 0.055390164256095886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.87029629945755, dino_loss: 0.74609375, depth_loss: 0.06714481115341187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5106/10000 [13:10:32<15:53:53, 11.69s/it]
                                                          
{'loss': 2.5283, 'grad_norm': 3.5295441150665283, 'learning_rate': 2.6190048379293157e-05, 'epoch': 0.05}

 51%|█████     | 5106/10000 [13:10:32<15:53:53, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9635242819786072, dino_loss: 0.75, depth_loss: 0.06457333266735077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8308804035186768, dino_loss: 0.6796875, depth_loss: 0.07776498049497604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5107/10000 [13:10:43<15:40:47, 11.54s/it]
                                                          
{'loss': 2.1836, 'grad_norm': 2.921454906463623, 'learning_rate': 2.6181790337272433e-05, 'epoch': 0.05}

 51%|█████     | 5107/10000 [13:10:43<15:40:47, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9325361847877502, dino_loss: 0.69921875, depth_loss: 0.059156034141778946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8532732129096985, dino_loss: 0.66796875, depth_loss: 0.05725915729999542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5108/10000 [13:10:54<15:42:23, 11.56s/it]
                                                          
{'loss': 2.1266, 'grad_norm': 3.8743956089019775, 'learning_rate': 2.6173532166012895e-05, 'epoch': 0.05}

 51%|█████     | 5108/10000 [13:10:54<15:42:23, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8981420993804932, dino_loss: 0.7265625, depth_loss: 0.05387674272060394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.731293797492981, dino_loss: 0.6875, depth_loss: 0.05596160143613815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5109/10000 [13:11:06<15:35:15, 11.47s/it]
                                                          
{'loss': 1.9797, 'grad_norm': 2.879021644592285, 'learning_rate': 2.6165273866417633e-05, 'epoch': 0.05}

 51%|█████     | 5109/10000 [13:11:06<15:35:15, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8330627679824829, dino_loss: 0.7109375, depth_loss: 0.06434193253517151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.7627333402633667, dino_loss: 0.671875, depth_loss: 0.05744239687919617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5110/10000 [13:11:18<15:55:36, 11.73s/it]
                                                          
{'loss': 2.2043, 'grad_norm': 3.333691358566284, 'learning_rate': 2.6157015439389774e-05, 'epoch': 0.05}

 51%|█████     | 5110/10000 [13:11:18<15:55:36, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.84018874168396, dino_loss: 0.69921875, depth_loss: 0.060419198125600815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 1
seg_loss: 0.6221092939376831, dino_loss: 0.66796875, depth_loss: 0.05391637980937958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5111/10000 [13:11:29<15:48:40, 11.64s/it]
                                                          
{'loss': 2.0979, 'grad_norm': 3.893834114074707, 'learning_rate': 2.6148756885832453e-05, 'epoch': 0.05}

 51%|█████     | 5111/10000 [13:11:29<15:48:40, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7905676960945129, dino_loss: 0.6875, depth_loss: 0.06509989500045776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7768962383270264, dino_loss: 0.71484375, depth_loss: 0.0563645102083683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5112/10000 [13:11:42<16:12:41, 11.94s/it]
                                                          
{'loss': 2.1826, 'grad_norm': 3.3295509815216064, 'learning_rate': 2.61404982066488e-05, 'epoch': 0.05}

 51%|█████     | 5112/10000 [13:11:42<16:12:41, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.936444878578186, dino_loss: 0.68359375, depth_loss: 0.07196786254644394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0252633094787598, dino_loss: 0.70703125, depth_loss: 0.07372499257326126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5113/10000 [13:11:53<16:01:09, 11.80s/it]
                                                          
{'loss': 2.5452, 'grad_norm': 4.920767307281494, 'learning_rate': 2.6132239402741988e-05, 'epoch': 0.05}

 51%|█████     | 5113/10000 [13:11:53<16:01:09, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8790842294692993, dino_loss: 0.7421875, depth_loss: 0.07102670520544052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.59013831615448, dino_loss: 0.609375, depth_loss: 0.04143615812063217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5114/10000 [13:12:05<15:59:42, 11.79s/it]
                                                          
{'loss': 2.2858, 'grad_norm': 2.2075579166412354, 'learning_rate': 2.612398047501517e-05, 'epoch': 0.05}

 51%|█████     | 5114/10000 [13:12:05<15:59:42, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7601408362388611, dino_loss: 0.6640625, depth_loss: 0.050182487815618515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.89922696352005, dino_loss: 0.7109375, depth_loss: 0.0626721978187561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5115/10000 [13:12:17<15:50:18, 11.67s/it]
                                                          
{'loss': 1.905, 'grad_norm': 2.9409914016723633, 'learning_rate': 2.6115721424371532e-05, 'epoch': 0.05}

 51%|█████     | 5115/10000 [13:12:17<15:50:18, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.84283447265625, dino_loss: 0.66796875, depth_loss: 0.05384746193885803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7700348496437073, dino_loss: 0.6484375, depth_loss: 0.05137735977768898, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5116/10000 [13:12:28<15:53:06, 11.71s/it]
                                                          
{'loss': 2.1632, 'grad_norm': 2.6833040714263916, 'learning_rate': 2.610746225171428e-05, 'epoch': 0.05}

 51%|█████     | 5116/10000 [13:12:28<15:53:06, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7844251394271851, dino_loss: 0.6875, depth_loss: 0.06497423350811005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8242849707603455, dino_loss: 0.640625, depth_loss: 0.05941987782716751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5117/10000 [13:12:40<15:52:13, 11.70s/it]
                                                          
{'loss': 2.1989, 'grad_norm': 3.3277456760406494, 'learning_rate': 2.6099202957946624e-05, 'epoch': 0.05}

 51%|█████     | 5117/10000 [13:12:40<15:52:13, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9981573820114136, dino_loss: 0.65234375, depth_loss: 0.03934288024902344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9092832207679749, dino_loss: 0.70703125, depth_loss: 0.07191766053438187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5118/10000 [13:12:52<15:48:23, 11.66s/it]
                                                          
{'loss': 2.5939, 'grad_norm': 2.896390676498413, 'learning_rate': 2.6090943543971784e-05, 'epoch': 0.05}

 51%|█████     | 5118/10000 [13:12:52<15:48:23, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1482937335968018, dino_loss: 0.68359375, depth_loss: 0.0663096010684967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8228763341903687, dino_loss: 0.6953125, depth_loss: 0.06078609824180603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5119/10000 [13:13:04<16:07:57, 11.90s/it]
                                                          
{'loss': 2.7076, 'grad_norm': 2.5297305583953857, 'learning_rate': 2.6082684010692998e-05, 'epoch': 0.05}

 51%|█████     | 5119/10000 [13:13:04<16:07:57, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7725063562393188, dino_loss: 0.671875, depth_loss: 0.05546550825238228, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.89263916015625, dino_loss: 0.6953125, depth_loss: 0.05520972982048988, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5120/10000 [13:13:16<16:04:00, 11.85s/it]
                                                          
{'loss': 2.1208, 'grad_norm': 3.8000524044036865, 'learning_rate': 2.6074424359013517e-05, 'epoch': 0.05}

 51%|█████     | 5120/10000 [13:13:16<16:04:00, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7332545518875122, dino_loss: 0.65625, depth_loss: 0.058099232614040375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7851418852806091, dino_loss: 0.63671875, depth_loss: 0.048728108406066895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5121/10000 [13:13:28<16:02:05, 11.83s/it]
                                                          
{'loss': 2.0446, 'grad_norm': 3.7173140048980713, 'learning_rate': 2.6066164589836607e-05, 'epoch': 0.05}

 51%|█████     | 5121/10000 [13:13:28<16:02:05, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7561864852905273, dino_loss: 0.7265625, depth_loss: 0.04716305807232857, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9356948137283325, dino_loss: 0.7265625, depth_loss: 0.07671650499105453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5122/10000 [13:13:39<15:48:36, 11.67s/it]
                                                          
{'loss': 2.0206, 'grad_norm': 2.0361337661743164, 'learning_rate': 2.6057904704065533e-05, 'epoch': 0.05}

 51%|█████     | 5122/10000 [13:13:39<15:48:36, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8021401166915894, dino_loss: 0.6640625, depth_loss: 0.07051391154527664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8630833625793457, dino_loss: 0.66015625, depth_loss: 0.05834885314106941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5123/10000 [13:13:50<15:44:17, 11.62s/it]
                                                          
{'loss': 2.1498, 'grad_norm': 2.7258429527282715, 'learning_rate': 2.6049644702603593e-05, 'epoch': 0.05}

 51%|█████     | 5123/10000 [13:13:50<15:44:17, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7189772725105286, dino_loss: 0.6875, depth_loss: 0.0612872913479805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9028638601303101, dino_loss: 0.72265625, depth_loss: 0.0799950510263443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████     | 5124/10000 [13:14:02<15:42:36, 11.60s/it]
                                                          
{'loss': 2.1759, 'grad_norm': 3.7687466144561768, 'learning_rate': 2.604138458635409e-05, 'epoch': 0.05}

 51%|█████     | 5124/10000 [13:14:02<15:42:36, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9105767011642456, dino_loss: 0.671875, depth_loss: 0.06108007952570915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8712384700775146, dino_loss: 0.67578125, depth_loss: 0.052673421800136566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5125/10000 [13:14:14<15:51:56, 11.72s/it]
                                                          
{'loss': 2.5302, 'grad_norm': 4.768552780151367, 'learning_rate': 2.6033124356220328e-05, 'epoch': 0.05}

 51%|█████▏    | 5125/10000 [13:14:14<15:51:56, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8154062628746033, dino_loss: 0.77734375, depth_loss: 0.05487006902694702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7006659507751465, dino_loss: 0.640625, depth_loss: 0.07070687413215637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5126/10000 [13:14:26<15:55:18, 11.76s/it]
                                                          
{'loss': 2.2968, 'grad_norm': 2.650029182434082, 'learning_rate': 2.602486401310565e-05, 'epoch': 0.05}

 51%|█████▏    | 5126/10000 [13:14:26<15:55:18, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.8852506875991821, dino_loss: 0.6484375, depth_loss: 0.048655081540346146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6861934661865234, dino_loss: 0.64453125, depth_loss: 0.06607051938772202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5127/10000 [13:14:38<15:55:29, 11.76s/it]
                                                          
{'loss': 2.3807, 'grad_norm': 3.046252965927124, 'learning_rate': 2.6016603557913378e-05, 'epoch': 0.05}

 51%|█████▏    | 5127/10000 [13:14:38<15:55:29, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8488666415214539, dino_loss: 0.65625, depth_loss: 0.06060663238167763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8968763947486877, dino_loss: 0.671875, depth_loss: 0.058445002883672714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5128/10000 [13:14:50<16:11:22, 11.96s/it]
                                                          
{'loss': 2.1131, 'grad_norm': 5.049255847930908, 'learning_rate': 2.600834299154687e-05, 'epoch': 0.05}

 51%|█████▏    | 5128/10000 [13:14:50<16:11:22, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0609773397445679, dino_loss: 0.62109375, depth_loss: 0.05306855961680412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7000311613082886, dino_loss: 0.6796875, depth_loss: 0.05213342234492302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5129/10000 [13:15:02<16:02:48, 11.86s/it]
                                                          
{'loss': 2.3501, 'grad_norm': 7.545327663421631, 'learning_rate': 2.6000082314909485e-05, 'epoch': 0.05}

 51%|█████▏    | 5129/10000 [13:15:02<16:02:48, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.776820719242096, dino_loss: 0.6875, depth_loss: 0.060118257999420166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7892758846282959, dino_loss: 0.69140625, depth_loss: 0.059965893626213074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5130/10000 [13:15:13<15:44:17, 11.63s/it]
                                                          
{'loss': 1.592, 'grad_norm': 2.0837740898132324, 'learning_rate': 2.599182152890461e-05, 'epoch': 0.05}

 51%|█████▏    | 5130/10000 [13:15:13<15:44:17, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7598819136619568, dino_loss: 0.67578125, depth_loss: 0.05158118158578873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8733392953872681, dino_loss: 0.6953125, depth_loss: 0.04816311597824097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5131/10000 [13:15:24<15:32:36, 11.49s/it]
                                                          
{'loss': 1.8423, 'grad_norm': 2.6050901412963867, 'learning_rate': 2.5983560634435616e-05, 'epoch': 0.05}

 51%|█████▏    | 5131/10000 [13:15:24<15:32:36, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7319813370704651, dino_loss: 0.6796875, depth_loss: 0.0561923086643219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8258600234985352, dino_loss: 0.71875, depth_loss: 0.06429267674684525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5132/10000 [13:15:36<15:41:41, 11.61s/it]
                                                          
{'loss': 1.9432, 'grad_norm': 2.3437817096710205, 'learning_rate': 2.5975299632405914e-05, 'epoch': 0.05}

 51%|█████▏    | 5132/10000 [13:15:36<15:41:41, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8252284526824951, dino_loss: 0.70703125, depth_loss: 0.06953006982803345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8884950280189514, dino_loss: 0.64453125, depth_loss: 0.04106379300355911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5133/10000 [13:15:49<16:12:30, 11.99s/it]
                                                          
{'loss': 3.4761, 'grad_norm': 2.0068624019622803, 'learning_rate': 2.596703852371891e-05, 'epoch': 0.05}

 51%|█████▏    | 5133/10000 [13:15:49<16:12:30, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9219707250595093, dino_loss: 0.71484375, depth_loss: 0.05974607169628143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0929138660430908, dino_loss: 0.6953125, depth_loss: 0.0637040063738823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5134/10000 [13:16:00<15:49:55, 11.71s/it]
                                                          
{'loss': 2.1604, 'grad_norm': 2.6003262996673584, 'learning_rate': 2.595877730927802e-05, 'epoch': 0.05}

 51%|█████▏    | 5134/10000 [13:16:00<15:49:55, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9288637638092041, dino_loss: 0.6875, depth_loss: 0.05385700613260269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6805654168128967, dino_loss: 0.66796875, depth_loss: 0.05302166938781738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5135/10000 [13:16:13<16:24:22, 12.14s/it]
                                                          
{'loss': 2.0547, 'grad_norm': 2.8706538677215576, 'learning_rate': 2.5950515989986697e-05, 'epoch': 0.05}

 51%|█████▏    | 5135/10000 [13:16:13<16:24:22, 12.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8890379667282104, dino_loss: 0.640625, depth_loss: 0.0601159930229187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8711812496185303, dino_loss: 0.66796875, depth_loss: 0.05028956010937691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5136/10000 [13:16:24<16:10:27, 11.97s/it]
                                                          
{'loss': 2.1435, 'grad_norm': 3.139249801635742, 'learning_rate': 2.594225456674837e-05, 'epoch': 0.05}

 51%|█████▏    | 5136/10000 [13:16:24<16:10:27, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7438596487045288, dino_loss: 0.65234375, depth_loss: 0.07417638599872589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9275422096252441, dino_loss: 0.6875, depth_loss: 0.060417383909225464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5137/10000 [13:16:36<15:56:15, 11.80s/it]
                                                          
{'loss': 2.0943, 'grad_norm': 2.87064790725708, 'learning_rate': 2.593399304046649e-05, 'epoch': 0.05}

 51%|█████▏    | 5137/10000 [13:16:36<15:56:15, 11.80s/it]the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.593637228012085, dino_loss: 0.6171875, depth_loss: 0.051435232162475586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8096641898155212, dino_loss: 0.7109375, depth_loss: 0.052344970405101776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5138/10000 [13:16:48<15:58:45, 11.83s/it]
                                                          
{'loss': 2.1694, 'grad_norm': 3.426612138748169, 'learning_rate': 2.592573141204455e-05, 'epoch': 0.05}

 51%|█████▏    | 5138/10000 [13:16:48<15:58:45, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.842155933380127, dino_loss: 0.64453125, depth_loss: 0.06387925893068314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6886552572250366, dino_loss: 0.6875, depth_loss: 0.05268465727567673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5139/10000 [13:17:00<16:17:14, 12.06s/it]
                                                          
{'loss': 2.0987, 'grad_norm': 3.4315083026885986, 'learning_rate': 2.5917469682386008e-05, 'epoch': 0.05}

 51%|█████▏    | 5139/10000 [13:17:00<16:17:14, 12.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9442802667617798, dino_loss: 0.6953125, depth_loss: 0.05122243985533714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9067592024803162, dino_loss: 0.734375, depth_loss: 0.06533887982368469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5140/10000 [13:17:12<16:11:30, 11.99s/it]
                                                          
{'loss': 2.4367, 'grad_norm': 3.496582269668579, 'learning_rate': 2.5909207852394363e-05, 'epoch': 0.05}

 51%|█████▏    | 5140/10000 [13:17:12<16:11:30, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8345140218734741, dino_loss: 0.66015625, depth_loss: 0.05410795286297798, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0203635692596436, dino_loss: 0.71484375, depth_loss: 0.07088003307580948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5141/10000 [13:17:23<15:45:08, 11.67s/it]
                                                          
{'loss': 2.4391, 'grad_norm': 4.408329486846924, 'learning_rate': 2.5900945922973115e-05, 'epoch': 0.05}

 51%|█████▏    | 5141/10000 [13:17:23<15:45:08, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7985749244689941, dino_loss: 0.65234375, depth_loss: 0.060311511158943176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.821074903011322, dino_loss: 0.72265625, depth_loss: 0.05544270575046539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5142/10000 [13:17:35<15:45:06, 11.67s/it]
                                                          
{'loss': 2.2676, 'grad_norm': 3.1843793392181396, 'learning_rate': 2.5892683895025767e-05, 'epoch': 0.05}

 51%|█████▏    | 5142/10000 [13:17:35<15:45:06, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.8051565885543823, dino_loss: 0.73828125, depth_loss: 0.09184596687555313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8708884716033936, dino_loss: 0.671875, depth_loss: 0.06901959329843521, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5143/10000 [13:17:46<15:41:33, 11.63s/it]
                                                          
{'loss': 2.0628, 'grad_norm': 2.474181652069092, 'learning_rate': 2.588442176945586e-05, 'epoch': 0.05}

 51%|█████▏    | 5143/10000 [13:17:46<15:41:33, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5654805302619934, dino_loss: 0.5546875, depth_loss: 0.04244856908917427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8889610171318054, dino_loss: 0.6796875, depth_loss: 0.07156694680452347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5144/10000 [13:17:58<15:30:58, 11.50s/it]
                                                          
{'loss': 1.8906, 'grad_norm': 2.6159379482269287, 'learning_rate': 2.5876159547166905e-05, 'epoch': 0.05}

 51%|█████▏    | 5144/10000 [13:17:58<15:30:58, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8632755875587463, dino_loss: 0.66796875, depth_loss: 0.07282597571611404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8339059352874756, dino_loss: 0.67578125, depth_loss: 0.05896613746881485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5145/10000 [13:18:09<15:23:42, 11.42s/it]
                                                          
{'loss': 1.8685, 'grad_norm': 3.677233934402466, 'learning_rate': 2.5867897229062478e-05, 'epoch': 0.05}

 51%|█████▏    | 5145/10000 [13:18:09<15:23:42, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7008344531059265, dino_loss: 0.671875, depth_loss: 0.06876906007528305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8888611793518066, dino_loss: 0.6796875, depth_loss: 0.0695335865020752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5146/10000 [13:18:21<15:37:35, 11.59s/it]
                                                          
{'loss': 2.3168, 'grad_norm': 6.876453876495361, 'learning_rate': 2.5859634816046102e-05, 'epoch': 0.05}

 51%|█████▏    | 5146/10000 [13:18:21<15:37:35, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8601438403129578, dino_loss: 0.69921875, depth_loss: 0.06097488850355148, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9497613906860352, dino_loss: 0.73046875, depth_loss: 0.07905605435371399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5147/10000 [13:18:33<15:44:24, 11.68s/it]
                                                          
{'loss': 2.2813, 'grad_norm': 3.2355425357818604, 'learning_rate': 2.5851372309021354e-05, 'epoch': 0.05}

 51%|█████▏    | 5147/10000 [13:18:33<15:44:24, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9377328157424927, dino_loss: 0.70703125, depth_loss: 0.06638295948505402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8889922499656677, dino_loss: 0.62890625, depth_loss: 0.05270931497216225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5148/10000 [13:18:44<15:34:44, 11.56s/it]
                                                          
{'loss': 1.7703, 'grad_norm': 4.065851211547852, 'learning_rate': 2.5843109708891822e-05, 'epoch': 0.05}

 51%|█████▏    | 5148/10000 [13:18:44<15:34:44, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9239358901977539, dino_loss: 0.66796875, depth_loss: 0.05216885358095169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9658404588699341, dino_loss: 0.671875, depth_loss: 0.0705852061510086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 51%|█████▏    | 5149/10000 [13:18:56<15:54:45, 11.81s/it]
                                                          
{'loss': 2.5068, 'grad_norm': 3.5560128688812256, 'learning_rate': 2.583484701656107e-05, 'epoch': 0.05}

 51%|█████▏    | 5149/10000 [13:18:56<15:54:45, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9896288514137268, dino_loss: 0.6953125, depth_loss: 0.06622949987649918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9352694153785706, dino_loss: 0.703125, depth_loss: 0.07120892405509949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5150/10000 [13:19:08<15:49:41, 11.75s/it]
                                                          
{'loss': 2.6109, 'grad_norm': 3.497321128845215, 'learning_rate': 2.5826584232932706e-05, 'epoch': 0.05}

 52%|█████▏    | 5150/10000 [13:19:08<15:49:41, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8134921193122864, dino_loss: 0.6171875, depth_loss: 0.050877366214990616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8735467791557312, dino_loss: 0.67578125, depth_loss: 0.07900629192590714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5151/10000 [13:19:20<15:55:32, 11.82s/it]
                                                          
{'loss': 2.2116, 'grad_norm': 4.665919780731201, 'learning_rate': 2.5818321358910337e-05, 'epoch': 0.05}

 52%|█████▏    | 5151/10000 [13:19:20<15:55:32, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7534793019294739, dino_loss: 0.65625, depth_loss: 0.052462320774793625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8272830247879028, dino_loss: 0.64453125, depth_loss: 0.08782827109098434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5152/10000 [13:19:31<15:45:20, 11.70s/it]
                                                          
{'loss': 1.9697, 'grad_norm': 2.6690828800201416, 'learning_rate': 2.581005839539757e-05, 'epoch': 0.05}

 52%|█████▏    | 5152/10000 [13:19:31<15:45:20, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9195441007614136, dino_loss: 0.6796875, depth_loss: 0.06749580055475235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.7713384032249451, dino_loss: 0.6015625, depth_loss: 0.045642316341400146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5153/10000 [13:19:43<15:42:24, 11.67s/it]
                                                          
{'loss': 2.2849, 'grad_norm': 5.027416706085205, 'learning_rate': 2.580179534329803e-05, 'epoch': 0.05}

 52%|█████▏    | 5153/10000 [13:19:43<15:42:24, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8308247923851013, dino_loss: 0.66796875, depth_loss: 0.0822647362947464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9520156383514404, dino_loss: 0.6875, depth_loss: 0.055887773633003235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5154/10000 [13:19:54<15:32:38, 11.55s/it]
                                                          
{'loss': 1.9721, 'grad_norm': 3.9465904235839844, 'learning_rate': 2.5793532203515363e-05, 'epoch': 0.05}

 52%|█████▏    | 5154/10000 [13:19:54<15:32:38, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7610151171684265, dino_loss: 0.71484375, depth_loss: 0.07746466994285583, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.812193751335144, dino_loss: 0.67578125, depth_loss: 0.042274367064237595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5155/10000 [13:20:06<15:46:56, 11.73s/it]
                                                          
{'loss': 2.6763, 'grad_norm': 3.2700536251068115, 'learning_rate': 2.578526897695321e-05, 'epoch': 0.05}

 52%|█████▏    | 5155/10000 [13:20:06<15:46:56, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9196197986602783, dino_loss: 0.6875, depth_loss: 0.0764734297990799, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7735596299171448, dino_loss: 0.62890625, depth_loss: 0.05168982595205307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5156/10000 [13:20:19<16:07:01, 11.98s/it]
                                                          
{'loss': 2.6119, 'grad_norm': 3.09586763381958, 'learning_rate': 2.5777005664515224e-05, 'epoch': 0.05}

 52%|█████▏    | 5156/10000 [13:20:19<16:07:01, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0069801807403564, dino_loss: 0.7109375, depth_loss: 0.07254006713628769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.90308678150177, dino_loss: 0.66796875, depth_loss: 0.06498827785253525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5157/10000 [13:20:31<16:00:32, 11.90s/it]
                                                          
{'loss': 2.2316, 'grad_norm': 2.3922524452209473, 'learning_rate': 2.5768742267105055e-05, 'epoch': 0.05}

 52%|█████▏    | 5157/10000 [13:20:31<16:00:32, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7974714040756226, dino_loss: 0.765625, depth_loss: 0.06352996081113815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.164147138595581, dino_loss: 0.66015625, depth_loss: 0.045793622732162476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5158/10000 [13:20:42<15:51:29, 11.79s/it]
                                                          
{'loss': 2.0325, 'grad_norm': 3.0257084369659424, 'learning_rate': 2.5760478785626397e-05, 'epoch': 0.05}

 52%|█████▏    | 5158/10000 [13:20:42<15:51:29, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8834069967269897, dino_loss: 0.75, depth_loss: 0.07013110816478729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7803565263748169, dino_loss: 0.6953125, depth_loss: 0.06878124177455902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5159/10000 [13:20:53<15:37:01, 11.61s/it]
                                                          
{'loss': 1.8666, 'grad_norm': 3.3396401405334473, 'learning_rate': 2.5752215220982922e-05, 'epoch': 0.05}

 52%|█████▏    | 5159/10000 [13:20:53<15:37:01, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.826844334602356, dino_loss: 0.6953125, depth_loss: 0.05194389820098877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7352301478385925, dino_loss: 0.71875, depth_loss: 0.052564069628715515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5160/10000 [13:21:04<15:25:02, 11.47s/it]
                                                          
{'loss': 1.6694, 'grad_norm': 2.2505831718444824, 'learning_rate': 2.5743951574078314e-05, 'epoch': 0.05}

 52%|█████▏    | 5160/10000 [13:21:04<15:25:02, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8265287280082703, dino_loss: 0.71484375, depth_loss: 0.0540190152823925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8289350271224976, dino_loss: 0.68359375, depth_loss: 0.06491876393556595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5161/10000 [13:21:16<15:33:54, 11.58s/it]
                                                          
{'loss': 2.2228, 'grad_norm': 2.3353114128112793, 'learning_rate': 2.5735687845816285e-05, 'epoch': 0.05}

 52%|█████▏    | 5161/10000 [13:21:16<15:33:54, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0192981958389282, dino_loss: 0.7265625, depth_loss: 0.05659334361553192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9327372312545776, dino_loss: 0.6796875, depth_loss: 0.05810902640223503, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5162/10000 [13:21:27<15:19:42, 11.41s/it]
                                                          
{'loss': 2.094, 'grad_norm': 2.3149213790893555, 'learning_rate': 2.5727424037100544e-05, 'epoch': 0.05}

 52%|█████▏    | 5162/10000 [13:21:27<15:19:42, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.867699146270752, dino_loss: 0.7265625, depth_loss: 0.06122061237692833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7891799211502075, dino_loss: 0.625, depth_loss: 0.05951809883117676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5163/10000 [13:21:39<15:36:40, 11.62s/it]
                                                          
{'loss': 2.2414, 'grad_norm': 4.914117813110352, 'learning_rate': 2.57191601488348e-05, 'epoch': 0.05}

 52%|█████▏    | 5163/10000 [13:21:39<15:36:40, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7459794282913208, dino_loss: 0.72265625, depth_loss: 0.05465257167816162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8356220722198486, dino_loss: 0.6796875, depth_loss: 0.0667295753955841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5164/10000 [13:21:51<15:44:44, 11.72s/it]
                                                          
{'loss': 2.307, 'grad_norm': 1.9890544414520264, 'learning_rate': 2.571089618192278e-05, 'epoch': 0.05}

 52%|█████▏    | 5164/10000 [13:21:51<15:44:44, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9035354256629944, dino_loss: 0.6640625, depth_loss: 0.05419570580124855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7745832204818726, dino_loss: 0.68359375, depth_loss: 0.05871850997209549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5165/10000 [13:22:03<15:44:32, 11.72s/it]
                                                          
{'loss': 2.1824, 'grad_norm': 4.990524768829346, 'learning_rate': 2.5702632137268223e-05, 'epoch': 0.05}

 52%|█████▏    | 5165/10000 [13:22:03<15:44:32, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8840349912643433, dino_loss: 0.6953125, depth_loss: 0.06389671564102173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8542743921279907, dino_loss: 0.703125, depth_loss: 0.05593060702085495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5166/10000 [13:22:14<15:26:22, 11.50s/it]
                                                          
{'loss': 1.6445, 'grad_norm': 2.516310691833496, 'learning_rate': 2.5694368015774872e-05, 'epoch': 0.05}

 52%|█████▏    | 5166/10000 [13:22:14<15:26:22, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6328055262565613, dino_loss: 0.6171875, depth_loss: 0.05390189588069916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.047709584236145, dino_loss: 0.73828125, depth_loss: 0.07428540289402008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5167/10000 [13:22:26<15:31:47, 11.57s/it]
                                                          
{'loss': 2.4893, 'grad_norm': 2.6626689434051514, 'learning_rate': 2.568610381834648e-05, 'epoch': 0.05}

 52%|█████▏    | 5167/10000 [13:22:26<15:31:47, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7855876684188843, dino_loss: 0.66015625, depth_loss: 0.051183804869651794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8287266492843628, dino_loss: 0.671875, depth_loss: 0.07948612421751022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5168/10000 [13:22:38<15:38:13, 11.65s/it]
                                                          
{'loss': 2.1191, 'grad_norm': 5.6065592765808105, 'learning_rate': 2.5677839545886805e-05, 'epoch': 0.05}

 52%|█████▏    | 5168/10000 [13:22:38<15:38:13, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0212624073028564, dino_loss: 0.6484375, depth_loss: 0.07440111041069031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9347291588783264, dino_loss: 0.6953125, depth_loss: 0.06151825189590454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5169/10000 [13:22:49<15:35:07, 11.61s/it]
                                                          
{'loss': 2.1511, 'grad_norm': 3.0741448402404785, 'learning_rate': 2.5669575199299616e-05, 'epoch': 0.05}

 52%|█████▏    | 5169/10000 [13:22:49<15:35:07, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.790145993232727, dino_loss: 0.7109375, depth_loss: 0.04979119449853897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9241400957107544, dino_loss: 0.640625, depth_loss: 0.05925653874874115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5170/10000 [13:23:00<15:17:10, 11.39s/it]
                                                          
{'loss': 1.9788, 'grad_norm': 3.0187113285064697, 'learning_rate': 2.5661310779488695e-05, 'epoch': 0.05}

 52%|█████▏    | 5170/10000 [13:23:00<15:17:10, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9078625440597534, dino_loss: 0.74609375, depth_loss: 0.06879955530166626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7903289794921875, dino_loss: 0.69140625, depth_loss: 0.05567372590303421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5171/10000 [13:23:11<15:17:16, 11.40s/it]
                                                          
{'loss': 2.362, 'grad_norm': 3.1977550983428955, 'learning_rate': 2.5653046287357824e-05, 'epoch': 0.05}

 52%|█████▏    | 5171/10000 [13:23:11<15:17:16, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8959591388702393, dino_loss: 0.73828125, depth_loss: 0.06724339723587036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0315704345703125, dino_loss: 0.7421875, depth_loss: 0.06907413899898529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5172/10000 [13:23:23<15:11:00, 11.32s/it]
                                                          
{'loss': 2.5313, 'grad_norm': 2.6257553100585938, 'learning_rate': 2.5644781723810785e-05, 'epoch': 0.05}

 52%|█████▏    | 5172/10000 [13:23:23<15:11:00, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8958256244659424, dino_loss: 0.71875, depth_loss: 0.07674585282802582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7294359803199768, dino_loss: 0.7578125, depth_loss: 0.05895090848207474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5173/10000 [13:23:34<15:12:52, 11.35s/it]
                                                          
{'loss': 2.0478, 'grad_norm': 2.7663722038269043, 'learning_rate': 2.5636517089751388e-05, 'epoch': 0.05}

 52%|█████▏    | 5173/10000 [13:23:34<15:12:52, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9108074903488159, dino_loss: 0.68359375, depth_loss: 0.05973304808139801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8230929970741272, dino_loss: 0.62890625, depth_loss: 0.05488458275794983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5174/10000 [13:23:46<15:35:21, 11.63s/it]
                                                          
{'loss': 2.3629, 'grad_norm': 4.382857322692871, 'learning_rate': 2.562825238608344e-05, 'epoch': 0.05}

 52%|█████▏    | 5174/10000 [13:23:46<15:35:21, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9193321466445923, dino_loss: 0.66015625, depth_loss: 0.06489339470863342, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8343576192855835, dino_loss: 0.65625, depth_loss: 0.054177552461624146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5175/10000 [13:23:58<15:37:07, 11.65s/it]
                                                          
{'loss': 1.8107, 'grad_norm': 3.3931589126586914, 'learning_rate': 2.5619987613710756e-05, 'epoch': 0.05}

 52%|█████▏    | 5175/10000 [13:23:58<15:37:07, 11.65s/it]the number of masks: 8
the number of masks: 2
the number of masks: 8
the number of masks: 8
seg_loss: 0.723172128200531, dino_loss: 0.66796875, depth_loss: 0.07263897359371185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9822734594345093, dino_loss: 0.68359375, depth_loss: 0.057029370218515396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5176/10000 [13:24:10<15:35:10, 11.63s/it]
                                                          
{'loss': 2.2052, 'grad_norm': 3.393751621246338, 'learning_rate': 2.5611722773537156e-05, 'epoch': 0.05}

 52%|█████▏    | 5176/10000 [13:24:10<15:35:10, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.039650797843933, dino_loss: 0.69140625, depth_loss: 0.08054271340370178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9428133964538574, dino_loss: 0.671875, depth_loss: 0.0478256419301033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5177/10000 [13:24:22<15:44:01, 11.74s/it]
                                                          
{'loss': 2.4152, 'grad_norm': 3.782433032989502, 'learning_rate': 2.5603457866466474e-05, 'epoch': 0.05}

 52%|█████▏    | 5177/10000 [13:24:22<15:44:01, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8976925611495972, dino_loss: 0.69921875, depth_loss: 0.06765059381723404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9423102140426636, dino_loss: 0.6953125, depth_loss: 0.07326798141002655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5178/10000 [13:24:33<15:33:52, 11.62s/it]
                                                          
{'loss': 1.9289, 'grad_norm': 2.874239206314087, 'learning_rate': 2.5595192893402553e-05, 'epoch': 0.05}

 52%|█████▏    | 5178/10000 [13:24:33<15:33:52, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8628959655761719, dino_loss: 0.71875, depth_loss: 0.05619794502854347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.029839277267456, dino_loss: 0.6796875, depth_loss: 0.0845327079296112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5179/10000 [13:24:45<15:37:53, 11.67s/it]
                                                          
{'loss': 2.5269, 'grad_norm': 2.7123780250549316, 'learning_rate': 2.5586927855249222e-05, 'epoch': 0.05}

 52%|█████▏    | 5179/10000 [13:24:45<15:37:53, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9042608141899109, dino_loss: 0.62890625, depth_loss: 0.04915764927864075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7265101075172424, dino_loss: 0.63671875, depth_loss: 0.05714951455593109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5180/10000 [13:24:57<15:40:28, 11.71s/it]
                                                          
{'loss': 2.1479, 'grad_norm': 2.939436197280884, 'learning_rate': 2.5578662752910347e-05, 'epoch': 0.05}

 52%|█████▏    | 5180/10000 [13:24:57<15:40:28, 11.71s/it]the number of masks: 8
the number of masks: 1
the number of masks: 8
the number of masks: 8
seg_loss: 1.0433636903762817, dino_loss: 0.71875, depth_loss: 0.0639892965555191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7957153916358948, dino_loss: 0.70703125, depth_loss: 0.07647029310464859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5181/10000 [13:25:08<15:30:29, 11.59s/it]
                                                          
{'loss': 2.1625, 'grad_norm': 3.6181390285491943, 'learning_rate': 2.557039758728979e-05, 'epoch': 0.05}

 52%|█████▏    | 5181/10000 [13:25:08<15:30:29, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9344449043273926, dino_loss: 0.75, depth_loss: 0.06486465036869049, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9659758806228638, dino_loss: 0.7109375, depth_loss: 0.06962576508522034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5182/10000 [13:25:19<15:12:08, 11.36s/it]
                                                          
{'loss': 2.033, 'grad_norm': 2.7362334728240967, 'learning_rate': 2.55621323592914e-05, 'epoch': 0.05}

 52%|█████▏    | 5182/10000 [13:25:19<15:12:08, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.050736427307129, dino_loss: 0.71875, depth_loss: 0.05941978842020035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7530219554901123, dino_loss: 0.66015625, depth_loss: 0.06148011237382889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5183/10000 [13:25:30<15:17:02, 11.42s/it]
                                                          
{'loss': 2.3304, 'grad_norm': 8.72860336303711, 'learning_rate': 2.5553867069819065e-05, 'epoch': 0.05}

 52%|█████▏    | 5183/10000 [13:25:30<15:17:02, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.905972957611084, dino_loss: 0.69921875, depth_loss: 0.05804353952407837, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.834689736366272, dino_loss: 0.640625, depth_loss: 0.04234202206134796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5184/10000 [13:25:42<15:17:45, 11.43s/it]
                                                          
{'loss': 2.0288, 'grad_norm': 2.8409061431884766, 'learning_rate': 2.5545601719776663e-05, 'epoch': 0.05}

 52%|█████▏    | 5184/10000 [13:25:42<15:17:45, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7848805785179138, dino_loss: 0.73046875, depth_loss: 0.07092417031526566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6794979572296143, dino_loss: 0.60546875, depth_loss: 0.05143510550260544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5185/10000 [13:25:53<15:08:54, 11.33s/it]
                                                          
{'loss': 1.4703, 'grad_norm': 4.4990010261535645, 'learning_rate': 2.553733631006807e-05, 'epoch': 0.05}

 52%|█████▏    | 5185/10000 [13:25:53<15:08:54, 11.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7171949148178101, dino_loss: 0.63671875, depth_loss: 0.05446265637874603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7172021269798279, dino_loss: 0.6484375, depth_loss: 0.05134858191013336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5186/10000 [13:26:04<15:13:05, 11.38s/it]
                                                          
{'loss': 2.1236, 'grad_norm': 2.0235061645507812, 'learning_rate': 2.55290708415972e-05, 'epoch': 0.05}

 52%|█████▏    | 5186/10000 [13:26:04<15:13:05, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8059643507003784, dino_loss: 0.7421875, depth_loss: 0.06810358911752701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 2
the number of masks: 8
the number of masks: 8
seg_loss: 0.80351722240448, dino_loss: 0.67578125, depth_loss: 0.07003723829984665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5187/10000 [13:26:16<15:10:05, 11.35s/it]
                                                          
{'loss': 1.9617, 'grad_norm': 5.405665874481201, 'learning_rate': 2.5520805315267925e-05, 'epoch': 0.05}

 52%|█████▏    | 5187/10000 [13:26:16<15:10:05, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9524595141410828, dino_loss: 0.69921875, depth_loss: 0.05358084291219711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7361550331115723, dino_loss: 0.69140625, depth_loss: 0.062034972012043, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5188/10000 [13:26:28<15:26:18, 11.55s/it]
                                                          
{'loss': 2.1595, 'grad_norm': 4.217113971710205, 'learning_rate': 2.5512539731984165e-05, 'epoch': 0.05}

 52%|█████▏    | 5188/10000 [13:26:28<15:26:18, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.7018404603004456, dino_loss: 0.59375, depth_loss: 0.04276962950825691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9302585124969482, dino_loss: 0.65234375, depth_loss: 0.06917791068553925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5189/10000 [13:26:39<15:23:48, 11.52s/it]
                                                          
{'loss': 1.9642, 'grad_norm': 4.803822994232178, 'learning_rate': 2.5504274092649834e-05, 'epoch': 0.05}

 52%|█████▏    | 5189/10000 [13:26:39<15:23:48, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.074747085571289, dino_loss: 0.69140625, depth_loss: 0.0805152952671051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7913939952850342, dino_loss: 0.6875, depth_loss: 0.04912259429693222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5190/10000 [13:26:50<15:01:58, 11.25s/it]
                                                          
{'loss': 2.1393, 'grad_norm': 5.099948406219482, 'learning_rate': 2.5496008398168843e-05, 'epoch': 0.05}

 52%|█████▏    | 5190/10000 [13:26:50<15:01:58, 11.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8748666644096375, dino_loss: 0.69921875, depth_loss: 0.06630806624889374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9288825988769531, dino_loss: 0.7109375, depth_loss: 0.05525802820920944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5191/10000 [13:27:02<15:23:11, 11.52s/it]
                                                          
{'loss': 2.2914, 'grad_norm': 4.123612880706787, 'learning_rate': 2.5487742649445123e-05, 'epoch': 0.05}

 52%|█████▏    | 5191/10000 [13:27:02<15:23:11, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.109570026397705, dino_loss: 0.73046875, depth_loss: 0.05688980594277382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0208574533462524, dino_loss: 0.6875, depth_loss: 0.054201796650886536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5192/10000 [13:27:14<15:38:00, 11.71s/it]
                                                          
{'loss': 2.5954, 'grad_norm': 5.615482330322266, 'learning_rate': 2.5479476847382596e-05, 'epoch': 0.05}

 52%|█████▏    | 5192/10000 [13:27:14<15:38:00, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8131387233734131, dino_loss: 0.671875, depth_loss: 0.04981236159801483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8522521257400513, dino_loss: 0.75, depth_loss: 0.0756395235657692, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5193/10000 [13:27:26<15:41:29, 11.75s/it]
                                                          
{'loss': 1.9997, 'grad_norm': 2.0489306449890137, 'learning_rate': 2.547121099288521e-05, 'epoch': 0.05}

 52%|█████▏    | 5193/10000 [13:27:26<15:41:29, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9306792616844177, dino_loss: 0.76171875, depth_loss: 0.058969806879758835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1875903606414795, dino_loss: 0.6953125, depth_loss: 0.08154703676700592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5194/10000 [13:27:37<15:30:30, 11.62s/it]
                                                          
{'loss': 2.405, 'grad_norm': 3.5331311225891113, 'learning_rate': 2.5462945086856892e-05, 'epoch': 0.05}

 52%|█████▏    | 5194/10000 [13:27:37<15:30:30, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8679418563842773, dino_loss: 0.70703125, depth_loss: 0.06590456515550613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8630757927894592, dino_loss: 0.6796875, depth_loss: 0.062230609357357025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5195/10000 [13:27:48<15:19:58, 11.49s/it]
                                                          
{'loss': 2.0993, 'grad_norm': 5.760573863983154, 'learning_rate': 2.5454679130201593e-05, 'epoch': 0.05}

 52%|█████▏    | 5195/10000 [13:27:48<15:19:58, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9546228051185608, dino_loss: 0.671875, depth_loss: 0.0672788918018341, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6988380551338196, dino_loss: 0.70703125, depth_loss: 0.057488758116960526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5196/10000 [13:28:00<15:27:47, 11.59s/it]
                                                          
{'loss': 2.4489, 'grad_norm': 3.7073330879211426, 'learning_rate': 2.544641312382327e-05, 'epoch': 0.05}

 52%|█████▏    | 5196/10000 [13:28:00<15:27:47, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7310051918029785, dino_loss: 0.62890625, depth_loss: 0.04219640791416168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8622547388076782, dino_loss: 0.7109375, depth_loss: 0.05585343763232231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5197/10000 [13:28:11<15:16:26, 11.45s/it]
                                                          
{'loss': 1.6476, 'grad_norm': 2.803060531616211, 'learning_rate': 2.5438147068625882e-05, 'epoch': 0.05}

 52%|█████▏    | 5197/10000 [13:28:11<15:16:26, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6624483466148376, dino_loss: 0.66015625, depth_loss: 0.04164578765630722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0043597221374512, dino_loss: 0.67578125, depth_loss: 0.06385410577058792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5198/10000 [13:28:22<15:07:44, 11.34s/it]
                                                          
{'loss': 2.0036, 'grad_norm': 3.1334733963012695, 'learning_rate': 2.5429880965513386e-05, 'epoch': 0.05}

 52%|█████▏    | 5198/10000 [13:28:22<15:07:44, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7650175094604492, dino_loss: 0.69921875, depth_loss: 0.06182040274143219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8973457217216492, dino_loss: 0.69140625, depth_loss: 0.0578162781894207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5199/10000 [13:28:35<15:35:33, 11.69s/it]
                                                          
{'loss': 2.3146, 'grad_norm': 6.183271884918213, 'learning_rate': 2.5421614815389754e-05, 'epoch': 0.05}

 52%|█████▏    | 5199/10000 [13:28:35<15:35:33, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7914290428161621, dino_loss: 0.65234375, depth_loss: 0.05346726253628731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8762974739074707, dino_loss: 0.72265625, depth_loss: 0.06031019613146782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5200/10000 [13:28:46<15:26:54, 11.59s/it]
                                                          
{'loss': 2.2006, 'grad_norm': 3.638279438018799, 'learning_rate': 2.5413348619158967e-05, 'epoch': 0.05}

 52%|█████▏    | 5200/10000 [13:28:46<15:26:54, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8769152164459229, dino_loss: 0.625, depth_loss: 0.044581249356269836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8480028510093689, dino_loss: 0.734375, depth_loss: 0.07065417617559433, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5201/10000 [13:28:58<15:38:24, 11.73s/it]
                                                          
{'loss': 2.6255, 'grad_norm': 4.137958526611328, 'learning_rate': 2.5405082377724987e-05, 'epoch': 0.05}

 52%|█████▏    | 5201/10000 [13:28:58<15:38:24, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6452807784080505, dino_loss: 0.6796875, depth_loss: 0.06778991967439651, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9670396447181702, dino_loss: 0.69921875, depth_loss: 0.05969526618719101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5202/10000 [13:29:09<15:24:43, 11.56s/it]
                                                          
{'loss': 1.5709, 'grad_norm': 3.394043445587158, 'learning_rate': 2.539681609199181e-05, 'epoch': 0.05}

 52%|█████▏    | 5202/10000 [13:29:09<15:24:43, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8176173567771912, dino_loss: 0.625, depth_loss: 0.04558883234858513, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.7740554809570312, dino_loss: 0.6640625, depth_loss: 0.056703176349401474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5203/10000 [13:29:22<15:40:49, 11.77s/it]
                                                          
{'loss': 2.344, 'grad_norm': 3.8730828762054443, 'learning_rate': 2.5388549762863422e-05, 'epoch': 0.05}

 52%|█████▏    | 5203/10000 [13:29:22<15:40:49, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6393760442733765, dino_loss: 0.6328125, depth_loss: 0.045456092804670334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9995561838150024, dino_loss: 0.71875, depth_loss: 0.07771734893321991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5204/10000 [13:29:33<15:35:31, 11.70s/it]
                                                          
{'loss': 1.5639, 'grad_norm': 3.7443766593933105, 'learning_rate': 2.5380283391243815e-05, 'epoch': 0.05}

 52%|█████▏    | 5204/10000 [13:29:33<15:35:31, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9379314184188843, dino_loss: 0.66015625, depth_loss: 0.05767454952001572, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7530534267425537, dino_loss: 0.7109375, depth_loss: 0.05570230633020401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5205/10000 [13:29:46<15:52:24, 11.92s/it]
                                                          
{'loss': 2.4322, 'grad_norm': 1.6988364458084106, 'learning_rate': 2.5372016978036995e-05, 'epoch': 0.05}

 52%|█████▏    | 5205/10000 [13:29:46<15:52:24, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9420449733734131, dino_loss: 0.73046875, depth_loss: 0.0692351832985878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8865857720375061, dino_loss: 0.69921875, depth_loss: 0.06639237701892853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5206/10000 [13:29:57<15:45:18, 11.83s/it]
                                                          
{'loss': 2.2968, 'grad_norm': 2.818317174911499, 'learning_rate': 2.536375052414695e-05, 'epoch': 0.05}

 52%|█████▏    | 5206/10000 [13:29:57<15:45:18, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7016801834106445, dino_loss: 0.71875, depth_loss: 0.05536891892552376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8625521063804626, dino_loss: 0.70703125, depth_loss: 0.06373712420463562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5207/10000 [13:30:09<15:45:56, 11.84s/it]
                                                          
{'loss': 2.0498, 'grad_norm': 2.972278118133545, 'learning_rate': 2.53554840304777e-05, 'epoch': 0.05}

 52%|█████▏    | 5207/10000 [13:30:09<15:45:56, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8728602528572083, dino_loss: 0.7265625, depth_loss: 0.06704442948102951, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8120248913764954, dino_loss: 0.7109375, depth_loss: 0.055568575859069824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5208/10000 [13:30:21<15:40:26, 11.78s/it]
                                                          
{'loss': 2.1876, 'grad_norm': 1.8356956243515015, 'learning_rate': 2.5347217497933244e-05, 'epoch': 0.05}

 52%|█████▏    | 5208/10000 [13:30:21<15:40:26, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9779892563819885, dino_loss: 0.68359375, depth_loss: 0.076438307762146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7105737328529358, dino_loss: 0.69921875, depth_loss: 0.0704878643155098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5209/10000 [13:30:32<15:20:01, 11.52s/it]
                                                          
{'loss': 1.9289, 'grad_norm': 4.384932518005371, 'learning_rate': 2.533895092741761e-05, 'epoch': 0.05}

 52%|█████▏    | 5209/10000 [13:30:32<15:20:01, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7887568473815918, dino_loss: 0.7109375, depth_loss: 0.05640403553843498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8468433022499084, dino_loss: 0.6953125, depth_loss: 0.05060148611664772, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5210/10000 [13:30:43<15:13:50, 11.45s/it]
                                                          
{'loss': 1.8672, 'grad_norm': 2.1846702098846436, 'learning_rate': 2.5330684319834814e-05, 'epoch': 0.05}

 52%|█████▏    | 5210/10000 [13:30:43<15:13:50, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8500760793685913, dino_loss: 0.75390625, depth_loss: 0.07533642649650574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8546801805496216, dino_loss: 0.7109375, depth_loss: 0.057366542518138885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5211/10000 [13:30:55<15:18:35, 11.51s/it]
                                                          
{'loss': 2.1579, 'grad_norm': 3.417445182800293, 'learning_rate': 2.532241767608887e-05, 'epoch': 0.05}

 52%|█████▏    | 5211/10000 [13:30:55<15:18:35, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8415369987487793, dino_loss: 0.66015625, depth_loss: 0.05657002329826355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9387141466140747, dino_loss: 0.70703125, depth_loss: 0.06266403198242188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5212/10000 [13:31:06<15:13:07, 11.44s/it]
                                                          
{'loss': 1.8191, 'grad_norm': 4.276543617248535, 'learning_rate': 2.531415099708382e-05, 'epoch': 0.05}

 52%|█████▏    | 5212/10000 [13:31:06<15:13:07, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9613885879516602, dino_loss: 0.734375, depth_loss: 0.06838804483413696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8576033711433411, dino_loss: 0.6796875, depth_loss: 0.049403026700019836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5213/10000 [13:31:17<15:09:09, 11.40s/it]
                                                          
{'loss': 2.188, 'grad_norm': 2.479581117630005, 'learning_rate': 2.5305884283723685e-05, 'epoch': 0.05}

 52%|█████▏    | 5213/10000 [13:31:17<15:09:09, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7992280721664429, dino_loss: 0.6796875, depth_loss: 0.06293394416570663, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7027883529663086, dino_loss: 0.63671875, depth_loss: 0.06583435833454132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5214/10000 [13:31:29<15:16:56, 11.50s/it]
                                                          
{'loss': 1.9465, 'grad_norm': 3.4722561836242676, 'learning_rate': 2.529761753691251e-05, 'epoch': 0.05}

 52%|█████▏    | 5214/10000 [13:31:29<15:16:56, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9597225189208984, dino_loss: 0.6953125, depth_loss: 0.06966574490070343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9242104291915894, dino_loss: 0.71484375, depth_loss: 0.05423787981271744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5215/10000 [13:31:41<15:23:52, 11.58s/it]
                                                          
{'loss': 2.8415, 'grad_norm': 2.7781426906585693, 'learning_rate': 2.528935075755432e-05, 'epoch': 0.05}

 52%|█████▏    | 5215/10000 [13:31:41<15:23:52, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7953047752380371, dino_loss: 0.640625, depth_loss: 0.0805593729019165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9244036674499512, dino_loss: 0.6953125, depth_loss: 0.06928189098834991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5216/10000 [13:31:52<15:13:15, 11.45s/it]
                                                          
{'loss': 2.119, 'grad_norm': 2.9297571182250977, 'learning_rate': 2.5281083946553174e-05, 'epoch': 0.05}

 52%|█████▏    | 5216/10000 [13:31:52<15:13:15, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9443987011909485, dino_loss: 0.73828125, depth_loss: 0.09839621186256409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.861819863319397, dino_loss: 0.68359375, depth_loss: 0.06499417126178741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5217/10000 [13:32:04<15:24:38, 11.60s/it]
                                                          
{'loss': 2.6621, 'grad_norm': 3.7519445419311523, 'learning_rate': 2.5272817104813107e-05, 'epoch': 0.05}

 52%|█████▏    | 5217/10000 [13:32:04<15:24:38, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9763095378875732, dino_loss: 0.64453125, depth_loss: 0.04726079851388931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 6
the number of masks: 8
seg_loss: 0.6897993683815002, dino_loss: 0.640625, depth_loss: 0.045003049075603485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5218/10000 [13:32:15<15:24:09, 11.60s/it]
                                                          
{'loss': 2.0759, 'grad_norm': 9.750064849853516, 'learning_rate': 2.526455023323817e-05, 'epoch': 0.05}

 52%|█████▏    | 5218/10000 [13:32:15<15:24:09, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9234572052955627, dino_loss: 0.71484375, depth_loss: 0.07740604132413864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8735659122467041, dino_loss: 0.6953125, depth_loss: 0.05163390189409256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5219/10000 [13:32:27<15:14:34, 11.48s/it]
                                                          
{'loss': 2.2412, 'grad_norm': 3.2174830436706543, 'learning_rate': 2.5256283332732422e-05, 'epoch': 0.05}

 52%|█████▏    | 5219/10000 [13:32:27<15:14:34, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8168050050735474, dino_loss: 0.7109375, depth_loss: 0.0675191730260849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7974444031715393, dino_loss: 0.6484375, depth_loss: 0.04876267910003662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5220/10000 [13:32:38<15:18:14, 11.53s/it]
                                                          
{'loss': 1.7498, 'grad_norm': 3.9507997035980225, 'learning_rate': 2.5248016404199908e-05, 'epoch': 0.05}

 52%|█████▏    | 5220/10000 [13:32:38<15:18:14, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8970167636871338, dino_loss: 0.69921875, depth_loss: 0.06406131386756897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8201561570167542, dino_loss: 0.69140625, depth_loss: 0.05960642173886299, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5221/10000 [13:32:50<15:15:27, 11.49s/it]
                                                          
{'loss': 2.1611, 'grad_norm': 3.5641682147979736, 'learning_rate': 2.5239749448544704e-05, 'epoch': 0.05}

 52%|█████▏    | 5221/10000 [13:32:50<15:15:27, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7410542368888855, dino_loss: 0.66015625, depth_loss: 0.056573957204818726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9069840908050537, dino_loss: 0.6796875, depth_loss: 0.06632540374994278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5222/10000 [13:33:02<15:30:20, 11.68s/it]
                                                          
{'loss': 2.2179, 'grad_norm': 3.2430219650268555, 'learning_rate': 2.5231482466670852e-05, 'epoch': 0.05}

 52%|█████▏    | 5222/10000 [13:33:02<15:30:20, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8684306144714355, dino_loss: 0.61328125, depth_loss: 0.07200068980455399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8862371444702148, dino_loss: 0.71484375, depth_loss: 0.06844514608383179, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5223/10000 [13:33:15<15:59:55, 12.06s/it]
                                                          
{'loss': 1.9823, 'grad_norm': 4.94522762298584, 'learning_rate': 2.5223215459482425e-05, 'epoch': 0.05}

 52%|█████▏    | 5223/10000 [13:33:15<15:59:55, 12.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.434725046157837, dino_loss: 0.703125, depth_loss: 0.0850929394364357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8846842050552368, dino_loss: 0.6796875, depth_loss: 0.05248351767659187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5224/10000 [13:33:26<15:52:22, 11.96s/it]
                                                          
{'loss': 2.309, 'grad_norm': 4.749909400939941, 'learning_rate': 2.5214948427883494e-05, 'epoch': 0.05}

 52%|█████▏    | 5224/10000 [13:33:26<15:52:22, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8096259236335754, dino_loss: 0.74609375, depth_loss: 0.06152436509728432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9568692445755005, dino_loss: 0.671875, depth_loss: 0.05358199030160904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5225/10000 [13:33:39<16:01:49, 12.09s/it]
                                                          
{'loss': 2.4021, 'grad_norm': 3.255906343460083, 'learning_rate': 2.5206681372778124e-05, 'epoch': 0.05}

 52%|█████▏    | 5225/10000 [13:33:39<16:01:49, 12.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9112023115158081, dino_loss: 0.71875, depth_loss: 0.07404451072216034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5836944580078125, dino_loss: 0.671875, depth_loss: 0.05352672189474106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5226/10000 [13:33:50<15:44:09, 11.87s/it]
                                                          
{'loss': 1.8647, 'grad_norm': 4.633800506591797, 'learning_rate': 2.5198414295070393e-05, 'epoch': 0.05}

 52%|█████▏    | 5226/10000 [13:33:50<15:44:09, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.776552677154541, dino_loss: 0.61328125, depth_loss: 0.05348241329193115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7849303483963013, dino_loss: 0.6484375, depth_loss: 0.043310556560754776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5227/10000 [13:34:02<15:43:22, 11.86s/it]
                                                          
{'loss': 2.1633, 'grad_norm': 2.057663917541504, 'learning_rate': 2.519014719566437e-05, 'epoch': 0.05}

 52%|█████▏    | 5227/10000 [13:34:02<15:43:22, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0776160955429077, dino_loss: 0.6796875, depth_loss: 0.068637415766716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9638062119483948, dino_loss: 0.70703125, depth_loss: 0.06623684614896774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5228/10000 [13:34:14<15:47:08, 11.91s/it]
                                                          
{'loss': 2.7557, 'grad_norm': 4.374258518218994, 'learning_rate': 2.5181880075464136e-05, 'epoch': 0.05}

 52%|█████▏    | 5228/10000 [13:34:14<15:47:08, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2260551452636719, dino_loss: 0.70703125, depth_loss: 0.06402888894081116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.810810923576355, dino_loss: 0.6796875, depth_loss: 0.06479446589946747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5229/10000 [13:34:25<15:27:14, 11.66s/it]
                                                          
{'loss': 2.3907, 'grad_norm': 6.9889044761657715, 'learning_rate': 2.5173612935373776e-05, 'epoch': 0.05}

 52%|█████▏    | 5229/10000 [13:34:25<15:27:14, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7732324004173279, dino_loss: 0.62890625, depth_loss: 0.06284819543361664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.829664945602417, dino_loss: 0.734375, depth_loss: 0.05913211405277252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5230/10000 [13:34:37<15:25:30, 11.64s/it]
                                                          
{'loss': 2.0023, 'grad_norm': 4.202875137329102, 'learning_rate': 2.5165345776297355e-05, 'epoch': 0.05}

 52%|█████▏    | 5230/10000 [13:34:37<15:25:30, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7485561370849609, dino_loss: 0.703125, depth_loss: 0.05239078775048256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7050408720970154, dino_loss: 0.6328125, depth_loss: 0.05695528909564018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5231/10000 [13:34:49<15:31:47, 11.72s/it]
                                                          
{'loss': 1.9862, 'grad_norm': 2.744802474975586, 'learning_rate': 2.5157078599138977e-05, 'epoch': 0.05}

 52%|█████▏    | 5231/10000 [13:34:49<15:31:47, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9445124268531799, dino_loss: 0.6328125, depth_loss: 0.055821146816015244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8922827243804932, dino_loss: 0.7265625, depth_loss: 0.05713975429534912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5232/10000 [13:35:00<15:32:22, 11.73s/it]
                                                          
{'loss': 2.2635, 'grad_norm': 7.273871421813965, 'learning_rate': 2.514881140480272e-05, 'epoch': 0.05}

 52%|█████▏    | 5232/10000 [13:35:00<15:32:22, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7533283829689026, dino_loss: 0.7109375, depth_loss: 0.06250087916851044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8832308053970337, dino_loss: 0.703125, depth_loss: 0.061537161469459534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5233/10000 [13:35:12<15:38:52, 11.82s/it]
                                                          
{'loss': 2.1464, 'grad_norm': 2.189887762069702, 'learning_rate': 2.5140544194192665e-05, 'epoch': 0.05}

 52%|█████▏    | 5233/10000 [13:35:12<15:38:52, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7486246824264526, dino_loss: 0.66796875, depth_loss: 0.07221739739179611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8045193552970886, dino_loss: 0.6640625, depth_loss: 0.051659420132637024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5234/10000 [13:35:25<15:55:38, 12.03s/it]
                                                          
{'loss': 2.4847, 'grad_norm': 4.938686370849609, 'learning_rate': 2.5132276968212914e-05, 'epoch': 0.05}

 52%|█████▏    | 5234/10000 [13:35:25<15:55:38, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7334738969802856, dino_loss: 0.69921875, depth_loss: 0.07674921303987503, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8350046277046204, dino_loss: 0.68359375, depth_loss: 0.056048084050416946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5235/10000 [13:35:37<15:54:23, 12.02s/it]
                                                          
{'loss': 2.1985, 'grad_norm': 2.8663625717163086, 'learning_rate': 2.512400972776755e-05, 'epoch': 0.05}

 52%|█████▏    | 5235/10000 [13:35:37<15:54:23, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8298371434211731, dino_loss: 0.69140625, depth_loss: 0.08787833154201508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6622687578201294, dino_loss: 0.6328125, depth_loss: 0.05493384599685669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5236/10000 [13:35:48<15:36:42, 11.80s/it]
                                                          
{'loss': 1.8304, 'grad_norm': 2.718350410461426, 'learning_rate': 2.5115742473760668e-05, 'epoch': 0.05}

 52%|█████▏    | 5236/10000 [13:35:48<15:36:42, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0354533195495605, dino_loss: 0.734375, depth_loss: 0.07364798337221146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8914523124694824, dino_loss: 0.73828125, depth_loss: 0.07491963356733322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5237/10000 [13:36:00<15:30:43, 11.72s/it]
                                                          
{'loss': 2.2845, 'grad_norm': 4.220222473144531, 'learning_rate': 2.5107475207096365e-05, 'epoch': 0.05}

 52%|█████▏    | 5237/10000 [13:36:00<15:30:43, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9128364324569702, dino_loss: 0.6875, depth_loss: 0.07525977492332458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8840947151184082, dino_loss: 0.6953125, depth_loss: 0.04785798490047455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5238/10000 [13:36:12<15:38:17, 11.82s/it]
                                                          
{'loss': 2.5082, 'grad_norm': 5.64247989654541, 'learning_rate': 2.5099207928678732e-05, 'epoch': 0.05}

 52%|█████▏    | 5238/10000 [13:36:12<15:38:17, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7708539366722107, dino_loss: 0.66015625, depth_loss: 0.10174436867237091, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9053102135658264, dino_loss: 0.63671875, depth_loss: 0.06571643799543381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5239/10000 [13:36:23<15:34:31, 11.78s/it]
                                                          
{'loss': 1.7766, 'grad_norm': 3.0997562408447266, 'learning_rate': 2.5090940639411873e-05, 'epoch': 0.05}

 52%|█████▏    | 5239/10000 [13:36:23<15:34:31, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 1.1052892208099365, dino_loss: 0.66796875, depth_loss: 0.04648642987012863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9410572052001953, dino_loss: 0.66796875, depth_loss: 0.05630451440811157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5240/10000 [13:36:35<15:22:10, 11.62s/it]
                                                          
{'loss': 1.944, 'grad_norm': 10.116399765014648, 'learning_rate': 2.508267334019988e-05, 'epoch': 0.05}

 52%|█████▏    | 5240/10000 [13:36:35<15:22:10, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7992395758628845, dino_loss: 0.66015625, depth_loss: 0.0527852401137352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9668824076652527, dino_loss: 0.6875, depth_loss: 0.054332420229911804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5241/10000 [13:36:46<15:13:18, 11.51s/it]
                                                          
{'loss': 1.8698, 'grad_norm': 3.5021185874938965, 'learning_rate': 2.5074406031946855e-05, 'epoch': 0.05}

 52%|█████▏    | 5241/10000 [13:36:46<15:13:18, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0257114171981812, dino_loss: 0.7109375, depth_loss: 0.07845093309879303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6423378586769104, dino_loss: 0.6328125, depth_loss: 0.058192942291498184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5242/10000 [13:36:58<15:29:16, 11.72s/it]
                                                          
{'loss': 1.9464, 'grad_norm': 3.470512866973877, 'learning_rate': 2.5066138715556904e-05, 'epoch': 0.05}

 52%|█████▏    | 5242/10000 [13:36:58<15:29:16, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8783732652664185, dino_loss: 0.7421875, depth_loss: 0.05805368721485138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6885731220245361, dino_loss: 0.59375, depth_loss: 0.05365370959043503, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5243/10000 [13:37:10<15:32:10, 11.76s/it]
                                                          
{'loss': 2.0127, 'grad_norm': 1.860978603363037, 'learning_rate': 2.505787139193411e-05, 'epoch': 0.05}

 52%|█████▏    | 5243/10000 [13:37:10<15:32:10, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.905680775642395, dino_loss: 0.66015625, depth_loss: 0.059250254184007645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.7395384311676025, dino_loss: 0.69921875, depth_loss: 0.05598302558064461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5244/10000 [13:37:22<15:30:04, 11.73s/it]
                                                          
{'loss': 1.7976, 'grad_norm': 4.200709342956543, 'learning_rate': 2.5049604061982597e-05, 'epoch': 0.05}

 52%|█████▏    | 5244/10000 [13:37:22<15:30:04, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8919097185134888, dino_loss: 0.71484375, depth_loss: 0.08636678010225296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7930946350097656, dino_loss: 0.62890625, depth_loss: 0.048233237117528915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5245/10000 [13:37:33<15:17:21, 11.58s/it]
                                                          
{'loss': 2.0532, 'grad_norm': 2.7611818313598633, 'learning_rate': 2.5041336726606457e-05, 'epoch': 0.05}

 52%|█████▏    | 5245/10000 [13:37:33<15:17:21, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7514781951904297, dino_loss: 0.69921875, depth_loss: 0.06295701116323471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9634734392166138, dino_loss: 0.6875, depth_loss: 0.055720336735248566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5246/10000 [13:37:45<15:27:34, 11.71s/it]
                                                          
{'loss': 1.9965, 'grad_norm': 2.1783173084259033, 'learning_rate': 2.5033069386709796e-05, 'epoch': 0.05}

 52%|█████▏    | 5246/10000 [13:37:45<15:27:34, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9490283131599426, dino_loss: 0.73046875, depth_loss: 0.0578828789293766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 0.8570563197135925, dino_loss: 0.69140625, depth_loss: 0.05922072008252144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5247/10000 [13:37:56<15:18:27, 11.59s/it]
                                                          
{'loss': 1.9129, 'grad_norm': 3.6174590587615967, 'learning_rate': 2.5024802043196715e-05, 'epoch': 0.05}

 52%|█████▏    | 5247/10000 [13:37:56<15:18:27, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9281359314918518, dino_loss: 0.7265625, depth_loss: 0.07959914207458496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8680250644683838, dino_loss: 0.63671875, depth_loss: 0.05002116411924362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5248/10000 [13:38:09<15:47:37, 11.96s/it]
                                                          
{'loss': 2.5129, 'grad_norm': 2.7052974700927734, 'learning_rate': 2.5016534696971323e-05, 'epoch': 0.05}

 52%|█████▏    | 5248/10000 [13:38:09<15:47:37, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8963950872421265, dino_loss: 0.67578125, depth_loss: 0.07981526851654053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0659449100494385, dino_loss: 0.68359375, depth_loss: 0.05607752501964569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▏    | 5249/10000 [13:38:21<15:39:29, 11.86s/it]
                                                          
{'loss': 2.4451, 'grad_norm': 3.174306869506836, 'learning_rate': 2.5008267348937708e-05, 'epoch': 0.05}

 52%|█████▏    | 5249/10000 [13:38:21<15:39:29, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8715609312057495, dino_loss: 0.66796875, depth_loss: 0.0506729818880558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0775680541992188, dino_loss: 0.70703125, depth_loss: 0.04798394441604614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 52%|█████▎    | 5250/10000 [13:38:34<16:05:44, 12.20s/it]
                                                          
{'loss': 3.3158, 'grad_norm': 6.680493354797363, 'learning_rate': 2.5e-05, 'epoch': 0.05}

 52%|█████▎    | 5250/10000 [13:38:34<16:05:44, 12.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0444031953811646, dino_loss: 0.71484375, depth_loss: 0.054217614233493805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7827707529067993, dino_loss: 0.68359375, depth_loss: 0.05489729344844818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5251/10000 [13:38:45<15:49:51, 12.00s/it]
                                                          
{'loss': 2.3361, 'grad_norm': 3.5173180103302, 'learning_rate': 2.4991732651062294e-05, 'epoch': 0.05}

 53%|█████▎    | 5251/10000 [13:38:45<15:49:51, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9868794679641724, dino_loss: 0.67578125, depth_loss: 0.057480648159980774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8406839370727539, dino_loss: 0.66796875, depth_loss: 0.05844199284911156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5252/10000 [13:38:56<15:29:16, 11.74s/it]
                                                          
{'loss': 2.3037, 'grad_norm': 4.895158767700195, 'learning_rate': 2.4983465303028693e-05, 'epoch': 0.05}

 53%|█████▎    | 5252/10000 [13:38:56<15:29:16, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9113068580627441, dino_loss: 0.69140625, depth_loss: 0.0585537925362587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1033152341842651, dino_loss: 0.74609375, depth_loss: 0.05843353271484375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5253/10000 [13:39:08<15:23:27, 11.67s/it]
                                                          
{'loss': 2.3885, 'grad_norm': 3.4949095249176025, 'learning_rate': 2.4975197956803297e-05, 'epoch': 0.05}

 53%|█████▎    | 5253/10000 [13:39:08<15:23:27, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0279631614685059, dino_loss: 0.67578125, depth_loss: 0.07409607619047165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7647621631622314, dino_loss: 0.66015625, depth_loss: 0.05581257864832878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5254/10000 [13:39:19<15:12:49, 11.54s/it]
                                                          
{'loss': 2.2376, 'grad_norm': 5.8189778327941895, 'learning_rate': 2.4966930613290206e-05, 'epoch': 0.05}

 53%|█████▎    | 5254/10000 [13:39:19<15:12:49, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9954272508621216, dino_loss: 0.6953125, depth_loss: 0.05069269239902496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9101996421813965, dino_loss: 0.69140625, depth_loss: 0.053268611431121826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5255/10000 [13:39:31<15:23:28, 11.68s/it]
                                                          
{'loss': 2.2345, 'grad_norm': 6.757737159729004, 'learning_rate': 2.4958663273393546e-05, 'epoch': 0.05}

 53%|█████▎    | 5255/10000 [13:39:31<15:23:28, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.758537769317627, dino_loss: 0.65234375, depth_loss: 0.06488935649394989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8295103907585144, dino_loss: 0.73828125, depth_loss: 0.0722079873085022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5256/10000 [13:39:43<15:22:45, 11.67s/it]
                                                          
{'loss': 2.2378, 'grad_norm': 6.926812171936035, 'learning_rate': 2.4950395938017405e-05, 'epoch': 0.05}

 53%|█████▎    | 5256/10000 [13:39:43<15:22:45, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.02857506275177, dino_loss: 0.66015625, depth_loss: 0.06859516352415085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8465420007705688, dino_loss: 0.63671875, depth_loss: 0.05067760869860649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5257/10000 [13:39:55<15:39:47, 11.89s/it]
                                                          
{'loss': 2.3359, 'grad_norm': 2.2063333988189697, 'learning_rate': 2.4942128608065894e-05, 'epoch': 0.05}

 53%|█████▎    | 5257/10000 [13:39:55<15:39:47, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9403908252716064, dino_loss: 0.65625, depth_loss: 0.051366012543439865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8190775513648987, dino_loss: 0.6953125, depth_loss: 0.06828524172306061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5258/10000 [13:40:06<15:24:54, 11.70s/it]
                                                          
{'loss': 2.1118, 'grad_norm': 3.0184218883514404, 'learning_rate': 2.4933861284443112e-05, 'epoch': 0.05}

 53%|█████▎    | 5258/10000 [13:40:06<15:24:54, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.886478066444397, dino_loss: 0.71484375, depth_loss: 0.07142162322998047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.648917555809021, dino_loss: 0.67578125, depth_loss: 0.06381706893444061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5259/10000 [13:40:18<15:17:38, 11.61s/it]
                                                          
{'loss': 1.8599, 'grad_norm': 1.4949053525924683, 'learning_rate': 2.4925593968053147e-05, 'epoch': 0.05}

 53%|█████▎    | 5259/10000 [13:40:18<15:17:38, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7389153242111206, dino_loss: 0.69921875, depth_loss: 0.05987746641039848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.826329231262207, dino_loss: 0.6640625, depth_loss: 0.04536702111363411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5260/10000 [13:40:30<15:30:50, 11.78s/it]
                                                          
{'loss': 2.3191, 'grad_norm': 2.842205286026001, 'learning_rate': 2.4917326659800123e-05, 'epoch': 0.05}

 53%|█████▎    | 5260/10000 [13:40:30<15:30:50, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7959249019622803, dino_loss: 0.66015625, depth_loss: 0.0665326938033104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9819176197052002, dino_loss: 0.67578125, depth_loss: 0.0682518407702446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5261/10000 [13:40:41<15:17:01, 11.61s/it]
                                                          
{'loss': 2.0255, 'grad_norm': 3.126429796218872, 'learning_rate': 2.4909059360588132e-05, 'epoch': 0.05}

 53%|█████▎    | 5261/10000 [13:40:41<15:17:01, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7151650786399841, dino_loss: 0.6796875, depth_loss: 0.06106044724583626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9075559377670288, dino_loss: 0.69140625, depth_loss: 0.07504545152187347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5262/10000 [13:40:52<15:03:51, 11.45s/it]
                                                          
{'loss': 1.5787, 'grad_norm': 3.0582282543182373, 'learning_rate': 2.490079207132127e-05, 'epoch': 0.05}

 53%|█████▎    | 5262/10000 [13:40:52<15:03:51, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6557235717773438, dino_loss: 0.6171875, depth_loss: 0.051576901227235794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8253716826438904, dino_loss: 0.69140625, depth_loss: 0.05773690715432167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5263/10000 [13:41:04<15:18:51, 11.64s/it]
                                                          
{'loss': 1.79, 'grad_norm': 3.2342066764831543, 'learning_rate': 2.4892524792903637e-05, 'epoch': 0.05}

 53%|█████▎    | 5263/10000 [13:41:04<15:18:51, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0654815435409546, dino_loss: 0.69921875, depth_loss: 0.06399694830179214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8715534806251526, dino_loss: 0.65625, depth_loss: 0.06259338557720184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5264/10000 [13:41:17<15:34:44, 11.84s/it]
                                                          
{'loss': 2.3486, 'grad_norm': 4.979565620422363, 'learning_rate': 2.4884257526239338e-05, 'epoch': 0.05}

 53%|█████▎    | 5264/10000 [13:41:17<15:34:44, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9775604009628296, dino_loss: 0.74609375, depth_loss: 0.06587203592061996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8422178030014038, dino_loss: 0.66796875, depth_loss: 0.06505630165338516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5265/10000 [13:41:28<15:33:50, 11.83s/it]
                                                          
{'loss': 2.2954, 'grad_norm': 3.8575165271759033, 'learning_rate': 2.487599027223246e-05, 'epoch': 0.05}

 53%|█████▎    | 5265/10000 [13:41:28<15:33:50, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.835652768611908, dino_loss: 0.65625, depth_loss: 0.06155224144458771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7819162607192993, dino_loss: 0.64453125, depth_loss: 0.07711286097764969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5266/10000 [13:41:40<15:20:58, 11.67s/it]
                                                          
{'loss': 1.9714, 'grad_norm': 6.427733421325684, 'learning_rate': 2.4867723031787092e-05, 'epoch': 0.05}

 53%|█████▎    | 5266/10000 [13:41:40<15:20:58, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7976206541061401, dino_loss: 0.66796875, depth_loss: 0.05849664658308029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.864893913269043, dino_loss: 0.62109375, depth_loss: 0.05293571576476097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5267/10000 [13:41:51<15:07:57, 11.51s/it]
                                                          
{'loss': 1.8274, 'grad_norm': 3.1090545654296875, 'learning_rate': 2.4859455805807337e-05, 'epoch': 0.05}

 53%|█████▎    | 5267/10000 [13:41:51<15:07:57, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8384742140769958, dino_loss: 0.703125, depth_loss: 0.049914125353097916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6888147592544556, dino_loss: 0.64453125, depth_loss: 0.04590323567390442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5268/10000 [13:42:03<15:22:11, 11.69s/it]
                                                          
{'loss': 2.1369, 'grad_norm': 2.638554811477661, 'learning_rate': 2.4851188595197286e-05, 'epoch': 0.05}

 53%|█████▎    | 5268/10000 [13:42:03<15:22:11, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8442842364311218, dino_loss: 0.7109375, depth_loss: 0.05583234876394272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8680665493011475, dino_loss: 0.69140625, depth_loss: 0.07174790650606155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5269/10000 [13:42:15<15:30:38, 11.80s/it]
                                                          
{'loss': 2.2289, 'grad_norm': 3.2440290451049805, 'learning_rate': 2.484292140086103e-05, 'epoch': 0.05}

 53%|█████▎    | 5269/10000 [13:42:15<15:30:38, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7780413031578064, dino_loss: 0.72265625, depth_loss: 0.07187401503324509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8873451948165894, dino_loss: 0.65234375, depth_loss: 0.0658467710018158, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5270/10000 [13:42:27<15:31:01, 11.81s/it]
                                                          
{'loss': 2.0658, 'grad_norm': 2.2045023441314697, 'learning_rate': 2.483465422370265e-05, 'epoch': 0.05}

 53%|█████▎    | 5270/10000 [13:42:27<15:31:01, 11.81s/it]the number of masks: 2
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6245731115341187, dino_loss: 0.640625, depth_loss: 0.05873358994722366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7883608341217041, dino_loss: 0.71875, depth_loss: 0.07258310914039612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5271/10000 [13:42:39<15:25:47, 11.75s/it]
                                                          
{'loss': 1.8774, 'grad_norm': 6.011885166168213, 'learning_rate': 2.4826387064626237e-05, 'epoch': 0.05}

 53%|█████▎    | 5271/10000 [13:42:39<15:25:47, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8224595785140991, dino_loss: 0.61328125, depth_loss: 0.041179902851581573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9397966265678406, dino_loss: 0.69921875, depth_loss: 0.06839455664157867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5272/10000 [13:42:50<15:10:48, 11.56s/it]
                                                          
{'loss': 1.5985, 'grad_norm': 2.9150023460388184, 'learning_rate': 2.4818119924535873e-05, 'epoch': 0.05}

 53%|█████▎    | 5272/10000 [13:42:50<15:10:48, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9528982043266296, dino_loss: 0.66796875, depth_loss: 0.059574127197265625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8109299540519714, dino_loss: 0.69921875, depth_loss: 0.04776691645383835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5273/10000 [13:43:01<15:07:00, 11.51s/it]
                                                          
{'loss': 1.9223, 'grad_norm': 1.7910702228546143, 'learning_rate': 2.4809852804335632e-05, 'epoch': 0.05}

 53%|█████▎    | 5273/10000 [13:43:01<15:07:00, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9967613220214844, dino_loss: 0.73828125, depth_loss: 0.06338006258010864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7872154712677002, dino_loss: 0.67578125, depth_loss: 0.04984091594815254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5274/10000 [13:43:12<15:04:55, 11.49s/it]
                                                          
{'loss': 2.2434, 'grad_norm': 2.3063132762908936, 'learning_rate': 2.480158570492961e-05, 'epoch': 0.05}

 53%|█████▎    | 5274/10000 [13:43:12<15:04:55, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9804544448852539, dino_loss: 0.73046875, depth_loss: 0.06357726454734802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8387193083763123, dino_loss: 0.6796875, depth_loss: 0.05632798373699188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5275/10000 [13:43:24<14:59:08, 11.42s/it]
                                                          
{'loss': 2.4168, 'grad_norm': 1.683037281036377, 'learning_rate': 2.4793318627221878e-05, 'epoch': 0.05}

 53%|█████▎    | 5275/10000 [13:43:24<14:59:08, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5600806474685669, dino_loss: 0.5859375, depth_loss: 0.06043514981865883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7954457402229309, dino_loss: 0.63671875, depth_loss: 0.04834522306919098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5276/10000 [13:43:36<15:19:29, 11.68s/it]
                                                          
{'loss': 1.8739, 'grad_norm': 3.2253754138946533, 'learning_rate': 2.4785051572116512e-05, 'epoch': 0.05}

 53%|█████▎    | 5276/10000 [13:43:36<15:19:29, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8410429954528809, dino_loss: 0.68359375, depth_loss: 0.05505981296300888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.963997483253479, dino_loss: 0.70703125, depth_loss: 0.057277970016002655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5277/10000 [13:43:47<15:13:26, 11.60s/it]
                                                          
{'loss': 2.0951, 'grad_norm': 2.750903367996216, 'learning_rate': 2.477678454051758e-05, 'epoch': 0.05}

 53%|█████▎    | 5277/10000 [13:43:47<15:13:26, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7714271545410156, dino_loss: 0.73046875, depth_loss: 0.07774150371551514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.821082592010498, dino_loss: 0.63671875, depth_loss: 0.04351087287068367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5278/10000 [13:43:59<15:09:39, 11.56s/it]
                                                          
{'loss': 1.9072, 'grad_norm': 2.6179862022399902, 'learning_rate': 2.4768517533329157e-05, 'epoch': 0.05}

 53%|█████▎    | 5278/10000 [13:43:59<15:09:39, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7367653846740723, dino_loss: 0.61328125, depth_loss: 0.03699686750769615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9860364198684692, dino_loss: 0.66796875, depth_loss: 0.0683097317814827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5279/10000 [13:44:10<15:04:28, 11.50s/it]
                                                          
{'loss': 1.8224, 'grad_norm': 2.7825348377227783, 'learning_rate': 2.47602505514553e-05, 'epoch': 0.05}

 53%|█████▎    | 5279/10000 [13:44:10<15:04:28, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9216810464859009, dino_loss: 0.72265625, depth_loss: 0.07012708485126495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9235777258872986, dino_loss: 0.67578125, depth_loss: 0.07628023624420166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5280/10000 [13:44:22<15:00:49, 11.45s/it]
                                                          
{'loss': 2.2393, 'grad_norm': 6.092041492462158, 'learning_rate': 2.475198359580009e-05, 'epoch': 0.05}

 53%|█████▎    | 5280/10000 [13:44:22<15:00:49, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8845390677452087, dino_loss: 0.73046875, depth_loss: 0.06056373938918114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8958276510238647, dino_loss: 0.71875, depth_loss: 0.0719904750585556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5281/10000 [13:44:33<14:57:32, 11.41s/it]
                                                          
{'loss': 2.2674, 'grad_norm': 4.4628682136535645, 'learning_rate': 2.4743716667267584e-05, 'epoch': 0.05}

 53%|█████▎    | 5281/10000 [13:44:33<14:57:32, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9891424775123596, dino_loss: 0.7109375, depth_loss: 0.06367000937461853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8981769680976868, dino_loss: 0.640625, depth_loss: 0.0491286963224411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5282/10000 [13:44:45<15:17:12, 11.66s/it]
                                                          
{'loss': 2.4601, 'grad_norm': 2.4769320487976074, 'learning_rate': 2.4735449766761835e-05, 'epoch': 0.05}

 53%|█████▎    | 5282/10000 [13:44:45<15:17:12, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7258007526397705, dino_loss: 0.65625, depth_loss: 0.05868742987513542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6547163724899292, dino_loss: 0.62109375, depth_loss: 0.043956123292446136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5283/10000 [13:44:58<15:34:31, 11.89s/it]
                                                          
{'loss': 2.3771, 'grad_norm': 2.328380584716797, 'learning_rate': 2.4727182895186903e-05, 'epoch': 0.05}

 53%|█████▎    | 5283/10000 [13:44:58<15:34:31, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8125698566436768, dino_loss: 0.71875, depth_loss: 0.06529847532510757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.6696206331253052, dino_loss: 0.6171875, depth_loss: 0.056357238441705704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5284/10000 [13:45:10<15:44:10, 12.01s/it]
                                                          
{'loss': 2.028, 'grad_norm': 2.3515284061431885, 'learning_rate': 2.4718916053446832e-05, 'epoch': 0.05}

 53%|█████▎    | 5284/10000 [13:45:10<15:44:10, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9602212905883789, dino_loss: 0.65625, depth_loss: 0.06532920151948929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.9063477516174316, dino_loss: 0.66015625, depth_loss: 0.04258403554558754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5285/10000 [13:45:21<15:25:56, 11.78s/it]
                                                          
{'loss': 2.071, 'grad_norm': 4.798981189727783, 'learning_rate': 2.4710649242445686e-05, 'epoch': 0.05}

 53%|█████▎    | 5285/10000 [13:45:21<15:25:56, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8799403309822083, dino_loss: 0.69140625, depth_loss: 0.055090051144361496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7688286304473877, dino_loss: 0.7265625, depth_loss: 0.07622669637203217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5286/10000 [13:45:33<15:19:28, 11.70s/it]
                                                          
{'loss': 1.7393, 'grad_norm': 2.9954745769500732, 'learning_rate': 2.4702382463087498e-05, 'epoch': 0.05}

 53%|█████▎    | 5286/10000 [13:45:33<15:19:28, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7472501397132874, dino_loss: 0.62109375, depth_loss: 0.059540510177612305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7273184061050415, dino_loss: 0.66015625, depth_loss: 0.06090901419520378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5287/10000 [13:45:44<15:12:06, 11.61s/it]
                                                          
{'loss': 2.0105, 'grad_norm': 2.326524019241333, 'learning_rate': 2.469411571627632e-05, 'epoch': 0.05}

 53%|█████▎    | 5287/10000 [13:45:44<15:12:06, 11.61s/it]the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.7260309457778931, dino_loss: 0.67578125, depth_loss: 0.056219153106212616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7925370931625366, dino_loss: 0.609375, depth_loss: 0.04280237480998039, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5288/10000 [13:45:56<15:21:16, 11.73s/it]
                                                          
{'loss': 2.5317, 'grad_norm': 2.9254119396209717, 'learning_rate': 2.4685849002916183e-05, 'epoch': 0.05}

 53%|█████▎    | 5288/10000 [13:45:56<15:21:16, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9905989170074463, dino_loss: 0.66796875, depth_loss: 0.061684221029281616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9441726207733154, dino_loss: 0.6484375, depth_loss: 0.06310711801052094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5289/10000 [13:46:08<15:17:50, 11.69s/it]
                                                          
{'loss': 2.5047, 'grad_norm': 3.6786272525787354, 'learning_rate': 2.4677582323911135e-05, 'epoch': 0.05}

 53%|█████▎    | 5289/10000 [13:46:08<15:17:50, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0568015575408936, dino_loss: 0.7109375, depth_loss: 0.0754799023270607, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.771327555179596, dino_loss: 0.66015625, depth_loss: 0.05821312218904495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5290/10000 [13:46:19<15:08:19, 11.57s/it]
                                                          
{'loss': 2.4171, 'grad_norm': 3.9505207538604736, 'learning_rate': 2.46693156801652e-05, 'epoch': 0.05}

 53%|█████▎    | 5290/10000 [13:46:19<15:08:19, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.946790337562561, dino_loss: 0.69140625, depth_loss: 0.07512247562408447, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6781561970710754, dino_loss: 0.66015625, depth_loss: 0.058312878012657166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5291/10000 [13:46:31<15:09:32, 11.59s/it]
                                                          
{'loss': 2.3359, 'grad_norm': 1.9789010286331177, 'learning_rate': 2.46610490725824e-05, 'epoch': 0.05}

 53%|█████▎    | 5291/10000 [13:46:31<15:09:32, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9107275009155273, dino_loss: 0.76953125, depth_loss: 0.05891667306423187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9383015036582947, dino_loss: 0.67578125, depth_loss: 0.06598738580942154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5292/10000 [13:46:42<15:14:27, 11.65s/it]
                                                          
{'loss': 2.2536, 'grad_norm': 5.911932468414307, 'learning_rate': 2.4652782502066755e-05, 'epoch': 0.05}

 53%|█████▎    | 5292/10000 [13:46:42<15:14:27, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8140543699264526, dino_loss: 0.62890625, depth_loss: 0.05633570998907089, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9153587818145752, dino_loss: 0.6796875, depth_loss: 0.08348901569843292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5293/10000 [13:46:53<14:58:38, 11.45s/it]
                                                          
{'loss': 1.9276, 'grad_norm': 1.6799869537353516, 'learning_rate': 2.4644515969522306e-05, 'epoch': 0.05}

 53%|█████▎    | 5293/10000 [13:46:53<14:58:38, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8465792536735535, dino_loss: 0.6171875, depth_loss: 0.04649090766906738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8538522720336914, dino_loss: 0.66796875, depth_loss: 0.053628429770469666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5294/10000 [13:47:05<15:11:13, 11.62s/it]
                                                          
{'loss': 2.1169, 'grad_norm': 3.419605255126953, 'learning_rate': 2.4636249475853054e-05, 'epoch': 0.05}

 53%|█████▎    | 5294/10000 [13:47:05<15:11:13, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.815597414970398, dino_loss: 0.640625, depth_loss: 0.049708567559719086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7658082246780396, dino_loss: 0.671875, depth_loss: 0.053403325378894806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5295/10000 [13:47:18<15:25:22, 11.80s/it]
                                                          
{'loss': 2.3538, 'grad_norm': 2.0485999584198, 'learning_rate': 2.4627983021963014e-05, 'epoch': 0.05}

 53%|█████▎    | 5295/10000 [13:47:18<15:25:22, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8329709768295288, dino_loss: 0.71484375, depth_loss: 0.0704011619091034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7783315181732178, dino_loss: 0.58984375, depth_loss: 0.051775652915239334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5296/10000 [13:47:29<15:19:44, 11.73s/it]
                                                          
{'loss': 1.9195, 'grad_norm': 2.850724935531616, 'learning_rate': 2.4619716608756187e-05, 'epoch': 0.05}

 53%|█████▎    | 5296/10000 [13:47:29<15:19:44, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9998967051506042, dino_loss: 0.640625, depth_loss: 0.06442463397979736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8596490025520325, dino_loss: 0.66015625, depth_loss: 0.055849265307188034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5297/10000 [13:47:40<15:02:41, 11.52s/it]
                                                          
{'loss': 1.867, 'grad_norm': 4.879880905151367, 'learning_rate': 2.4611450237136584e-05, 'epoch': 0.05}

 53%|█████▎    | 5297/10000 [13:47:40<15:02:41, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9614760875701904, dino_loss: 0.75, depth_loss: 0.053182702511548996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6376287937164307, dino_loss: 0.625, depth_loss: 0.06226547807455063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5298/10000 [13:47:52<15:13:14, 11.65s/it]
                                                          
{'loss': 2.2771, 'grad_norm': 3.289019823074341, 'learning_rate': 2.460318390800819e-05, 'epoch': 0.05}

 53%|█████▎    | 5298/10000 [13:47:52<15:13:14, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5441372990608215, dino_loss: 0.58984375, depth_loss: 0.05047749727964401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8368940353393555, dino_loss: 0.64453125, depth_loss: 0.06140323728322983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5299/10000 [13:48:04<15:13:05, 11.65s/it]
                                                          
{'loss': 1.661, 'grad_norm': 2.5304980278015137, 'learning_rate': 2.4594917622275015e-05, 'epoch': 0.05}

 53%|█████▎    | 5299/10000 [13:48:04<15:13:05, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9167776107788086, dino_loss: 0.6953125, depth_loss: 0.058448124676942825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8542996644973755, dino_loss: 0.65625, depth_loss: 0.04611748829483986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5300/10000 [13:48:15<15:03:07, 11.53s/it]
                                                          
{'loss': 2.2638, 'grad_norm': 2.8631742000579834, 'learning_rate': 2.458665138084104e-05, 'epoch': 0.05}

 53%|█████▎    | 5300/10000 [13:48:15<15:03:07, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8068549633026123, dino_loss: 0.65625, depth_loss: 0.06493715941905975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7506954073905945, dino_loss: 0.65234375, depth_loss: 0.058286648243665695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5301/10000 [13:48:27<15:11:23, 11.64s/it]
                                                          
{'loss': 2.0134, 'grad_norm': 1.8742833137512207, 'learning_rate': 2.457838518461025e-05, 'epoch': 0.05}

 53%|█████▎    | 5301/10000 [13:48:27<15:11:23, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8993061780929565, dino_loss: 0.7265625, depth_loss: 0.05204510688781738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8098499774932861, dino_loss: 0.7578125, depth_loss: 0.05731693282723427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5302/10000 [13:48:38<14:59:29, 11.49s/it]
                                                          
{'loss': 1.9433, 'grad_norm': 5.009515285491943, 'learning_rate': 2.457011903448662e-05, 'epoch': 0.05}

 53%|█████▎    | 5302/10000 [13:48:38<14:59:29, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8945362567901611, dino_loss: 0.7109375, depth_loss: 0.06364049017429352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8836214542388916, dino_loss: 0.6875, depth_loss: 0.04848765581846237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5303/10000 [13:48:49<14:52:29, 11.40s/it]
                                                          
{'loss': 2.2043, 'grad_norm': 14.233297348022461, 'learning_rate': 2.4561852931374127e-05, 'epoch': 0.05}

 53%|█████▎    | 5303/10000 [13:48:49<14:52:29, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9762351512908936, dino_loss: 0.71484375, depth_loss: 0.07421492040157318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7411532402038574, dino_loss: 0.65625, depth_loss: 0.04432149976491928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5304/10000 [13:49:01<14:52:06, 11.40s/it]
                                                          
{'loss': 1.8692, 'grad_norm': 2.9027493000030518, 'learning_rate': 2.455358687617674e-05, 'epoch': 0.05}

 53%|█████▎    | 5304/10000 [13:49:01<14:52:06, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7703284025192261, dino_loss: 0.6640625, depth_loss: 0.05216318741440773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8183437585830688, dino_loss: 0.62109375, depth_loss: 0.05273532122373581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5305/10000 [13:49:12<15:01:45, 11.52s/it]
                                                          
{'loss': 1.9993, 'grad_norm': 3.113527536392212, 'learning_rate': 2.4545320869798406e-05, 'epoch': 0.05}

 53%|█████▎    | 5305/10000 [13:49:12<15:01:45, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8697766065597534, dino_loss: 0.70703125, depth_loss: 0.05942271649837494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8300448656082153, dino_loss: 0.6875, depth_loss: 0.06406348943710327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5306/10000 [13:49:23<14:48:26, 11.36s/it]
                                                          
{'loss': 2.0994, 'grad_norm': 2.850205421447754, 'learning_rate': 2.4537054913143113e-05, 'epoch': 0.05}

 53%|█████▎    | 5306/10000 [13:49:23<14:48:26, 11.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.789630651473999, dino_loss: 0.67578125, depth_loss: 0.06051473692059517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.728452205657959, dino_loss: 0.6328125, depth_loss: 0.05529255419969559, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5307/10000 [13:49:35<15:04:57, 11.57s/it]
                                                          
{'loss': 2.3802, 'grad_norm': 2.7645747661590576, 'learning_rate': 2.45287890071148e-05, 'epoch': 0.05}

 53%|█████▎    | 5307/10000 [13:49:36<15:04:57, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9476853013038635, dino_loss: 0.6640625, depth_loss: 0.05835157260298729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9151265025138855, dino_loss: 0.76953125, depth_loss: 0.06174319237470627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5308/10000 [13:49:47<14:59:51, 11.51s/it]
                                                          
{'loss': 1.9966, 'grad_norm': 3.2508862018585205, 'learning_rate': 2.452052315261741e-05, 'epoch': 0.05}

 53%|█████▎    | 5308/10000 [13:49:47<14:59:51, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9068742990493774, dino_loss: 0.7265625, depth_loss: 0.07938754558563232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8177090883255005, dino_loss: 0.69921875, depth_loss: 0.0682206004858017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5309/10000 [13:49:58<14:56:47, 11.47s/it]
                                                          
{'loss': 2.3305, 'grad_norm': 4.195789813995361, 'learning_rate': 2.4512257350554883e-05, 'epoch': 0.05}

 53%|█████▎    | 5309/10000 [13:49:58<14:56:47, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9893577098846436, dino_loss: 0.71875, depth_loss: 0.07478838413953781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7757513523101807, dino_loss: 0.671875, depth_loss: 0.06602776795625687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5310/10000 [13:50:10<14:54:54, 11.45s/it]
                                                          
{'loss': 2.037, 'grad_norm': 6.1123809814453125, 'learning_rate': 2.4503991601831163e-05, 'epoch': 0.05}

 53%|█████▎    | 5310/10000 [13:50:10<14:54:54, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9572374820709229, dino_loss: 0.734375, depth_loss: 0.058273978531360626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8336279988288879, dino_loss: 0.703125, depth_loss: 0.06892189383506775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5311/10000 [13:50:21<15:02:25, 11.55s/it]
                                                          
{'loss': 2.1952, 'grad_norm': 4.3020195960998535, 'learning_rate': 2.449572590735017e-05, 'epoch': 0.05}

 53%|█████▎    | 5311/10000 [13:50:21<15:02:25, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7687200903892517, dino_loss: 0.6796875, depth_loss: 0.05147808790206909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8073945045471191, dino_loss: 0.765625, depth_loss: 0.08113612234592438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5312/10000 [13:50:33<15:03:40, 11.57s/it]
                                                          
{'loss': 2.1532, 'grad_norm': 2.5504512786865234, 'learning_rate': 2.448746026801584e-05, 'epoch': 0.05}

 53%|█████▎    | 5312/10000 [13:50:33<15:03:40, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9653253555297852, dino_loss: 0.6875, depth_loss: 0.060466062277555466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9535205960273743, dino_loss: 0.734375, depth_loss: 0.07320714741945267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5313/10000 [13:50:45<15:14:38, 11.71s/it]
                                                          
{'loss': 2.1907, 'grad_norm': 2.9805588722229004, 'learning_rate': 2.4479194684732078e-05, 'epoch': 0.05}

 53%|█████▎    | 5313/10000 [13:50:45<15:14:38, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8194125890731812, dino_loss: 0.6640625, depth_loss: 0.046206943690776825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0601844787597656, dino_loss: 0.671875, depth_loss: 0.05605101212859154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5314/10000 [13:50:57<15:12:30, 11.68s/it]
                                                          
{'loss': 2.1366, 'grad_norm': 3.5373525619506836, 'learning_rate': 2.447092915840281e-05, 'epoch': 0.05}

 53%|█████▎    | 5314/10000 [13:50:57<15:12:30, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7957608699798584, dino_loss: 0.71484375, depth_loss: 0.06363910436630249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7809593677520752, dino_loss: 0.6328125, depth_loss: 0.05145780369639397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5315/10000 [13:51:09<15:29:51, 11.91s/it]
                                                          
{'loss': 2.123, 'grad_norm': 3.7605185508728027, 'learning_rate': 2.4462663689931935e-05, 'epoch': 0.05}

 53%|█████▎    | 5315/10000 [13:51:09<15:29:51, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8464405536651611, dino_loss: 0.6796875, depth_loss: 0.0669412910938263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8885941505432129, dino_loss: 0.7265625, depth_loss: 0.05106733739376068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5316/10000 [13:51:22<15:55:27, 12.24s/it]
                                                          
{'loss': 2.5254, 'grad_norm': 5.844115257263184, 'learning_rate': 2.4454398280223346e-05, 'epoch': 0.05}

 53%|█████▎    | 5316/10000 [13:51:22<15:55:27, 12.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6767491698265076, dino_loss: 0.5859375, depth_loss: 0.0410810187458992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8403499126434326, dino_loss: 0.7109375, depth_loss: 0.06327972561120987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5317/10000 [13:51:34<15:40:17, 12.05s/it]
                                                          
{'loss': 1.8986, 'grad_norm': 1.7230080366134644, 'learning_rate': 2.444613293018093e-05, 'epoch': 0.05}

 53%|█████▎    | 5317/10000 [13:51:34<15:40:17, 12.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9822216629981995, dino_loss: 0.6875, depth_loss: 0.04255138710141182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.787744402885437, dino_loss: 0.6328125, depth_loss: 0.0539335161447525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5318/10000 [13:51:45<15:10:48, 11.67s/it]
                                                          
{'loss': 1.7131, 'grad_norm': 2.14532470703125, 'learning_rate': 2.44378676407086e-05, 'epoch': 0.05}

 53%|█████▎    | 5318/10000 [13:51:45<15:10:48, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8162330389022827, dino_loss: 0.70703125, depth_loss: 0.07441878318786621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8399874567985535, dino_loss: 0.73046875, depth_loss: 0.05551460012793541, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5319/10000 [13:51:57<15:19:08, 11.78s/it]
                                                          
{'loss': 2.2916, 'grad_norm': 1.8961410522460938, 'learning_rate': 2.4429602412710217e-05, 'epoch': 0.05}

 53%|█████▎    | 5319/10000 [13:51:57<15:19:08, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7976509928703308, dino_loss: 0.65625, depth_loss: 0.050806790590286255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9875987768173218, dino_loss: 0.765625, depth_loss: 0.06771298497915268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5320/10000 [13:52:08<15:06:33, 11.62s/it]
                                                          
{'loss': 1.8038, 'grad_norm': 3.9445865154266357, 'learning_rate': 2.4421337247089655e-05, 'epoch': 0.05}

 53%|█████▎    | 5320/10000 [13:52:08<15:06:33, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.884331226348877, dino_loss: 0.7265625, depth_loss: 0.05984389781951904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0390838384628296, dino_loss: 0.7578125, depth_loss: 0.06971181184053421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5321/10000 [13:52:19<15:01:42, 11.56s/it]
                                                          
{'loss': 2.3388, 'grad_norm': 9.60340404510498, 'learning_rate': 2.4413072144750784e-05, 'epoch': 0.05}

 53%|█████▎    | 5321/10000 [13:52:19<15:01:42, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.898903489112854, dino_loss: 0.66015625, depth_loss: 0.04561135172843933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7902167439460754, dino_loss: 0.671875, depth_loss: 0.06357792764902115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5322/10000 [13:52:31<15:04:19, 11.60s/it]
                                                          
{'loss': 2.3024, 'grad_norm': 1.927873134613037, 'learning_rate': 2.440480710659746e-05, 'epoch': 0.05}

 53%|█████▎    | 5322/10000 [13:52:31<15:04:19, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7964984178543091, dino_loss: 0.71484375, depth_loss: 0.05690518766641617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7979365587234497, dino_loss: 0.66015625, depth_loss: 0.05366624891757965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5323/10000 [13:52:43<15:10:22, 11.68s/it]
                                                          
{'loss': 1.9913, 'grad_norm': 2.6220614910125732, 'learning_rate': 2.4396542133533535e-05, 'epoch': 0.05}

 53%|█████▎    | 5323/10000 [13:52:43<15:10:22, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8344032764434814, dino_loss: 0.66796875, depth_loss: 0.06260564923286438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9095184803009033, dino_loss: 0.63671875, depth_loss: 0.054913148283958435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5324/10000 [13:52:55<15:11:14, 11.69s/it]
                                                          
{'loss': 1.9497, 'grad_norm': 2.5516958236694336, 'learning_rate': 2.4388277226462846e-05, 'epoch': 0.05}

 53%|█████▎    | 5324/10000 [13:52:55<15:11:14, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8223995566368103, dino_loss: 0.7265625, depth_loss: 0.054816536605358124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8529722094535828, dino_loss: 0.69140625, depth_loss: 0.08004064112901688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5325/10000 [13:53:06<15:01:06, 11.57s/it]
                                                          
{'loss': 2.0405, 'grad_norm': 1.9934635162353516, 'learning_rate': 2.438001238628925e-05, 'epoch': 0.05}

 53%|█████▎    | 5325/10000 [13:53:06<15:01:06, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8528580665588379, dino_loss: 0.66796875, depth_loss: 0.0528656542301178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9084275364875793, dino_loss: 0.70703125, depth_loss: 0.06834293901920319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5326/10000 [13:53:18<15:11:37, 11.70s/it]
                                                          
{'loss': 2.258, 'grad_norm': 1.8788278102874756, 'learning_rate': 2.4371747613916566e-05, 'epoch': 0.05}

 53%|█████▎    | 5326/10000 [13:53:18<15:11:37, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7472360730171204, dino_loss: 0.703125, depth_loss: 0.05716069042682648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.652146577835083, dino_loss: 0.63671875, depth_loss: 0.05136886239051819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5327/10000 [13:53:30<15:17:50, 11.78s/it]
                                                          
{'loss': 1.9449, 'grad_norm': 2.258190155029297, 'learning_rate': 2.436348291024862e-05, 'epoch': 0.05}

 53%|█████▎    | 5327/10000 [13:53:30<15:17:50, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8464280366897583, dino_loss: 0.76171875, depth_loss: 0.08138840645551682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7737694978713989, dino_loss: 0.625, depth_loss: 0.04721202701330185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5328/10000 [13:53:41<15:13:09, 11.73s/it]
                                                          
{'loss': 1.8686, 'grad_norm': 3.244778871536255, 'learning_rate': 2.4355218276189224e-05, 'epoch': 0.05}

 53%|█████▎    | 5328/10000 [13:53:41<15:13:09, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7832449078559875, dino_loss: 0.6875, depth_loss: 0.06282321363687515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8488991260528564, dino_loss: 0.703125, depth_loss: 0.0647495910525322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5329/10000 [13:53:53<15:07:22, 11.66s/it]
                                                          
{'loss': 2.3787, 'grad_norm': 3.4548490047454834, 'learning_rate': 2.434695371264219e-05, 'epoch': 0.05}

 53%|█████▎    | 5329/10000 [13:53:53<15:07:22, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7795714139938354, dino_loss: 0.640625, depth_loss: 0.05191858485341072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7961705923080444, dino_loss: 0.6875, depth_loss: 0.05606010556221008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5330/10000 [13:54:05<15:13:30, 11.74s/it]
                                                          
{'loss': 2.2649, 'grad_norm': 2.720233201980591, 'learning_rate': 2.4338689220511304e-05, 'epoch': 0.05}

 53%|█████▎    | 5330/10000 [13:54:05<15:13:30, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7749926447868347, dino_loss: 0.6328125, depth_loss: 0.06476123631000519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9371236562728882, dino_loss: 0.68359375, depth_loss: 0.06775857508182526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5331/10000 [13:54:17<15:27:51, 11.92s/it]
                                                          
{'loss': 2.1771, 'grad_norm': 3.9217426776885986, 'learning_rate': 2.4330424800700383e-05, 'epoch': 0.05}

 53%|█████▎    | 5331/10000 [13:54:17<15:27:51, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7758961319923401, dino_loss: 0.69921875, depth_loss: 0.0649905577301979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9824979305267334, dino_loss: 0.71875, depth_loss: 0.07945698499679565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5332/10000 [13:54:28<15:11:07, 11.71s/it]
                                                          
{'loss': 2.2931, 'grad_norm': 1.9925175905227661, 'learning_rate': 2.4322160454113197e-05, 'epoch': 0.05}

 53%|█████▎    | 5332/10000 [13:54:28<15:11:07, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7591381669044495, dino_loss: 0.6640625, depth_loss: 0.06909358501434326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7128080129623413, dino_loss: 0.6953125, depth_loss: 0.061060138046741486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5333/10000 [13:54:41<15:21:22, 11.85s/it]
                                                          
{'loss': 2.0515, 'grad_norm': 3.504194498062134, 'learning_rate': 2.4313896181653524e-05, 'epoch': 0.05}

 53%|█████▎    | 5333/10000 [13:54:41<15:21:22, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8288847208023071, dino_loss: 0.66015625, depth_loss: 0.04556652158498764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.610970675945282, dino_loss: 0.6015625, depth_loss: 0.039140839129686356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5334/10000 [13:54:52<15:06:03, 11.65s/it]
                                                          
{'loss': 1.8313, 'grad_norm': 2.531358242034912, 'learning_rate': 2.430563198422513e-05, 'epoch': 0.05}

 53%|█████▎    | 5334/10000 [13:54:52<15:06:03, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8391103744506836, dino_loss: 0.69140625, depth_loss: 0.0719507485628128, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8271980881690979, dino_loss: 0.6640625, depth_loss: 0.0492115281522274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5335/10000 [13:55:04<15:15:28, 11.77s/it]
                                                          
{'loss': 2.4621, 'grad_norm': 2.0105717182159424, 'learning_rate': 2.4297367862731783e-05, 'epoch': 0.05}

 53%|█████▎    | 5335/10000 [13:55:04<15:15:28, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7380373477935791, dino_loss: 0.6875, depth_loss: 0.0644126757979393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.812371015548706, dino_loss: 0.796875, depth_loss: 0.07411011308431625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5336/10000 [13:55:16<15:14:21, 11.76s/it]
                                                          
{'loss': 2.4881, 'grad_norm': 4.867953777313232, 'learning_rate': 2.4289103818077223e-05, 'epoch': 0.05}

 53%|█████▎    | 5336/10000 [13:55:16<15:14:21, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.7712301015853882, dino_loss: 0.65625, depth_loss: 0.05710741877555847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7379581332206726, dino_loss: 0.69921875, depth_loss: 0.09551507234573364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5337/10000 [13:55:27<15:15:14, 11.78s/it]
                                                          
{'loss': 2.1671, 'grad_norm': 6.652677536010742, 'learning_rate': 2.428083985116521e-05, 'epoch': 0.05}

 53%|█████▎    | 5337/10000 [13:55:27<15:15:14, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031453251838684, dino_loss: 0.6796875, depth_loss: 0.0783868134021759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8812090754508972, dino_loss: 0.69140625, depth_loss: 0.06961056590080261, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5338/10000 [13:55:39<15:01:12, 11.60s/it]
                                                          
{'loss': 2.096, 'grad_norm': 2.7060623168945312, 'learning_rate': 2.4272575962899462e-05, 'epoch': 0.05}

 53%|█████▎    | 5338/10000 [13:55:39<15:01:12, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.960538923740387, dino_loss: 0.7109375, depth_loss: 0.10168113559484482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9791080951690674, dino_loss: 0.6875, depth_loss: 0.055034566670656204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5339/10000 [13:55:50<14:51:26, 11.48s/it]
                                                          
{'loss': 2.2551, 'grad_norm': 4.699619293212891, 'learning_rate': 2.426431215418372e-05, 'epoch': 0.05}

 53%|█████▎    | 5339/10000 [13:55:50<14:51:26, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9733762741088867, dino_loss: 0.71875, depth_loss: 0.07186762243509293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0013841390609741, dino_loss: 0.65625, depth_loss: 0.058866530656814575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5340/10000 [13:56:02<15:20:07, 11.85s/it]
                                                          
{'loss': 2.9586, 'grad_norm': 13.786131858825684, 'learning_rate': 2.425604842592169e-05, 'epoch': 0.05}

 53%|█████▎    | 5340/10000 [13:56:02<15:20:07, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.8283495903015137, dino_loss: 0.69140625, depth_loss: 0.05391375720500946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7234848141670227, dino_loss: 0.65234375, depth_loss: 0.05189698934555054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5341/10000 [13:56:15<15:31:45, 12.00s/it]
                                                          
{'loss': 2.3953, 'grad_norm': 3.159823179244995, 'learning_rate': 2.424778477901709e-05, 'epoch': 0.05}

 53%|█████▎    | 5341/10000 [13:56:15<15:31:45, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7378949522972107, dino_loss: 0.64453125, depth_loss: 0.04868217557668686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7389962673187256, dino_loss: 0.62890625, depth_loss: 0.07548131048679352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5342/10000 [13:56:26<15:22:13, 11.88s/it]
                                                          
{'loss': 1.8158, 'grad_norm': 2.784008741378784, 'learning_rate': 2.4239521214373615e-05, 'epoch': 0.05}

 53%|█████▎    | 5342/10000 [13:56:26<15:22:13, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8231140375137329, dino_loss: 0.69921875, depth_loss: 0.06810411810874939, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0987722873687744, dino_loss: 0.74609375, depth_loss: 0.06430666148662567, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5343/10000 [13:56:38<15:05:57, 11.67s/it]
                                                          
{'loss': 2.4711, 'grad_norm': 3.545138120651245, 'learning_rate': 2.4231257732894944e-05, 'epoch': 0.05}

 53%|█████▎    | 5343/10000 [13:56:38<15:05:57, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8615374565124512, dino_loss: 0.71484375, depth_loss: 0.057796724140644073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7924890518188477, dino_loss: 0.65234375, depth_loss: 0.06329435110092163, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5344/10000 [13:56:49<15:03:27, 11.64s/it]
                                                          
{'loss': 2.254, 'grad_norm': 2.5569870471954346, 'learning_rate': 2.4222994335484782e-05, 'epoch': 0.05}

 53%|█████▎    | 5344/10000 [13:56:49<15:03:27, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7721673250198364, dino_loss: 0.63671875, depth_loss: 0.05149761959910393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0074687004089355, dino_loss: 0.734375, depth_loss: 0.05850394070148468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5345/10000 [13:57:00<14:51:44, 11.49s/it]
                                                          
{'loss': 1.781, 'grad_norm': 2.1440048217773438, 'learning_rate': 2.4214731023046793e-05, 'epoch': 0.05}

 53%|█████▎    | 5345/10000 [13:57:00<14:51:44, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6928881406784058, dino_loss: 0.68359375, depth_loss: 0.0552762933075428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7607778310775757, dino_loss: 0.68359375, depth_loss: 0.06372027099132538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5346/10000 [13:57:12<15:04:58, 11.67s/it]
                                                          
{'loss': 1.8625, 'grad_norm': 2.8576953411102295, 'learning_rate': 2.420646779648464e-05, 'epoch': 0.05}

 53%|█████▎    | 5346/10000 [13:57:12<15:04:58, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.683647632598877, dino_loss: 0.6640625, depth_loss: 0.04131690412759781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8863710761070251, dino_loss: 0.67578125, depth_loss: 0.0734129548072815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5347/10000 [13:57:24<15:01:59, 11.63s/it]
                                                          
{'loss': 2.1927, 'grad_norm': 2.4118130207061768, 'learning_rate': 2.4198204656701973e-05, 'epoch': 0.05}

 53%|█████▎    | 5347/10000 [13:57:24<15:01:59, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8152583837509155, dino_loss: 0.71875, depth_loss: 0.04681869596242905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9737129807472229, dino_loss: 0.69921875, depth_loss: 0.07308728992938995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5348/10000 [13:57:37<15:28:59, 11.98s/it]
                                                          
{'loss': 2.5173, 'grad_norm': 2.8289201259613037, 'learning_rate': 2.4189941604602444e-05, 'epoch': 0.05}

 53%|█████▎    | 5348/10000 [13:57:37<15:28:59, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.795294463634491, dino_loss: 0.67578125, depth_loss: 0.052102431654930115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7913907170295715, dino_loss: 0.68359375, depth_loss: 0.07108088582754135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 53%|█████▎    | 5349/10000 [13:57:48<15:20:11, 11.87s/it]
                                                          
{'loss': 2.014, 'grad_norm': 3.0263233184814453, 'learning_rate': 2.4181678641089665e-05, 'epoch': 0.05}

 53%|█████▎    | 5349/10000 [13:57:48<15:20:11, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8554544448852539, dino_loss: 0.68359375, depth_loss: 0.060728736221790314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7545514106750488, dino_loss: 0.67578125, depth_loss: 0.07121719419956207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5350/10000 [13:58:00<15:11:00, 11.75s/it]
                                                          
{'loss': 2.1524, 'grad_norm': 3.7633090019226074, 'learning_rate': 2.4173415767067297e-05, 'epoch': 0.05}

 54%|█████▎    | 5350/10000 [13:58:00<15:11:00, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8236342668533325, dino_loss: 0.68359375, depth_loss: 0.06656183302402496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0464725494384766, dino_loss: 0.7421875, depth_loss: 0.05844859406352043, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5351/10000 [13:58:11<15:09:29, 11.74s/it]
                                                          
{'loss': 2.2298, 'grad_norm': 2.8044726848602295, 'learning_rate': 2.4165152983438932e-05, 'epoch': 0.05}

 54%|█████▎    | 5351/10000 [13:58:11<15:09:29, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8289841413497925, dino_loss: 0.671875, depth_loss: 0.054859548807144165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8357276320457458, dino_loss: 0.72265625, depth_loss: 0.060070157051086426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5352/10000 [13:58:23<15:03:53, 11.67s/it]
                                                          
{'loss': 1.9877, 'grad_norm': 2.3959364891052246, 'learning_rate': 2.4156890291108187e-05, 'epoch': 0.05}

 54%|█████▎    | 5352/10000 [13:58:23<15:03:53, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9361052513122559, dino_loss: 0.6640625, depth_loss: 0.0541016161441803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8953537940979004, dino_loss: 0.6875, depth_loss: 0.06907209753990173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5353/10000 [13:58:34<14:54:59, 11.56s/it]
                                                          
{'loss': 1.9409, 'grad_norm': 3.6083433628082275, 'learning_rate': 2.4148627690978648e-05, 'epoch': 0.05}

 54%|█████▎    | 5353/10000 [13:58:34<14:54:59, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7017737627029419, dino_loss: 0.64453125, depth_loss: 0.054345063865184784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8855270147323608, dino_loss: 0.6796875, depth_loss: 0.05101102218031883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5354/10000 [13:58:45<14:46:11, 11.44s/it]
                                                          
{'loss': 1.794, 'grad_norm': 2.33804988861084, 'learning_rate': 2.4140365183953907e-05, 'epoch': 0.05}

 54%|█████▎    | 5354/10000 [13:58:45<14:46:11, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8110517859458923, dino_loss: 0.6875, depth_loss: 0.06417381763458252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8947523832321167, dino_loss: 0.70703125, depth_loss: 0.061799757182598114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5355/10000 [13:58:58<15:01:46, 11.65s/it]
                                                          
{'loss': 2.2127, 'grad_norm': 4.5791401863098145, 'learning_rate': 2.413210277093753e-05, 'epoch': 0.05}

 54%|█████▎    | 5355/10000 [13:58:58<15:01:46, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0188331604003906, dino_loss: 0.6796875, depth_loss: 0.05201146379113197, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.69827800989151, dino_loss: 0.7265625, depth_loss: 0.05655023455619812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5356/10000 [13:59:10<15:16:32, 11.84s/it]
                                                          
{'loss': 2.3878, 'grad_norm': 3.424569845199585, 'learning_rate': 2.412384045283309e-05, 'epoch': 0.05}

 54%|█████▎    | 5356/10000 [13:59:10<15:16:32, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5932385921478271, dino_loss: 0.63671875, depth_loss: 0.061163563281297684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8308177590370178, dino_loss: 0.671875, depth_loss: 0.05717076361179352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5357/10000 [13:59:22<15:32:27, 12.05s/it]
                                                          
{'loss': 2.2665, 'grad_norm': 2.497850179672241, 'learning_rate': 2.4115578230544147e-05, 'epoch': 0.05}

 54%|█████▎    | 5357/10000 [13:59:22<15:32:27, 12.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7235181927680969, dino_loss: 0.69140625, depth_loss: 0.06699390709400177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8465798497200012, dino_loss: 0.671875, depth_loss: 0.05576043948531151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5358/10000 [13:59:34<15:25:04, 11.96s/it]
                                                          
{'loss': 1.7503, 'grad_norm': 2.0800631046295166, 'learning_rate': 2.410731610497424e-05, 'epoch': 0.05}

 54%|█████▎    | 5358/10000 [13:59:34<15:25:04, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6769596934318542, dino_loss: 0.65234375, depth_loss: 0.05716749280691147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8995031714439392, dino_loss: 0.69140625, depth_loss: 0.06650322675704956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5359/10000 [13:59:46<15:17:21, 11.86s/it]
                                                          
{'loss': 1.9069, 'grad_norm': 3.109602212905884, 'learning_rate': 2.4099054077026895e-05, 'epoch': 0.05}

 54%|█████▎    | 5359/10000 [13:59:46<15:17:21, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8218337893486023, dino_loss: 0.61328125, depth_loss: 0.04995626583695412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7357848882675171, dino_loss: 0.6875, depth_loss: 0.07015243917703629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5360/10000 [13:59:58<15:14:23, 11.82s/it]
                                                          
{'loss': 1.807, 'grad_norm': 5.146254539489746, 'learning_rate': 2.4090792147605647e-05, 'epoch': 0.05}

 54%|█████▎    | 5360/10000 [13:59:58<15:14:23, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.825454831123352, dino_loss: 0.63671875, depth_loss: 0.059393782168626785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7987179160118103, dino_loss: 0.6328125, depth_loss: 0.0627615749835968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5361/10000 [14:00:09<15:16:12, 11.85s/it]
                                                          
{'loss': 1.9998, 'grad_norm': 2.965226173400879, 'learning_rate': 2.4082530317614e-05, 'epoch': 0.05}

 54%|█████▎    | 5361/10000 [14:00:09<15:16:12, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8446153402328491, dino_loss: 0.6875, depth_loss: 0.07669652998447418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8741549849510193, dino_loss: 0.6640625, depth_loss: 0.06704846024513245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5362/10000 [14:00:21<15:18:56, 11.89s/it]
                                                          
{'loss': 2.3817, 'grad_norm': 3.2227718830108643, 'learning_rate': 2.4074268587955455e-05, 'epoch': 0.05}

 54%|█████▎    | 5362/10000 [14:00:21<15:18:56, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8748456835746765, dino_loss: 0.6796875, depth_loss: 0.053419340401887894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9579483270645142, dino_loss: 0.65625, depth_loss: 0.07546354830265045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5363/10000 [14:00:33<15:09:59, 11.77s/it]
                                                          
{'loss': 2.3322, 'grad_norm': 2.9907608032226562, 'learning_rate': 2.4066006959533508e-05, 'epoch': 0.05}

 54%|█████▎    | 5363/10000 [14:00:33<15:09:59, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9025604724884033, dino_loss: 0.65234375, depth_loss: 0.06567895412445068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7635138630867004, dino_loss: 0.6484375, depth_loss: 0.04977655038237572, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5364/10000 [14:00:45<15:08:28, 11.76s/it]
                                                          
{'loss': 1.9186, 'grad_norm': 4.429880619049072, 'learning_rate': 2.4057745433251635e-05, 'epoch': 0.05}

 54%|█████▎    | 5364/10000 [14:00:45<15:08:28, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9237777590751648, dino_loss: 0.69921875, depth_loss: 0.0663672387599945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.896029531955719, dino_loss: 0.66015625, depth_loss: 0.0637202039361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5365/10000 [14:00:56<15:08:58, 11.77s/it]
                                                          
{'loss': 2.0002, 'grad_norm': 8.894227027893066, 'learning_rate': 2.404948401001331e-05, 'epoch': 0.05}

 54%|█████▎    | 5365/10000 [14:00:56<15:08:58, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9278465509414673, dino_loss: 0.6875, depth_loss: 0.07921318709850311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8601453304290771, dino_loss: 0.66015625, depth_loss: 0.05033019557595253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5366/10000 [14:01:08<15:04:11, 11.71s/it]
                                                          
{'loss': 1.85, 'grad_norm': 3.358358383178711, 'learning_rate': 2.404122269072198e-05, 'epoch': 0.05}

 54%|█████▎    | 5366/10000 [14:01:08<15:04:11, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0876307487487793, dino_loss: 0.640625, depth_loss: 0.06910962611436844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7998448014259338, dino_loss: 0.6875, depth_loss: 0.07816700637340546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5367/10000 [14:01:19<14:45:16, 11.46s/it]
                                                          
{'loss': 1.9982, 'grad_norm': 2.403371810913086, 'learning_rate': 2.4032961476281102e-05, 'epoch': 0.05}

 54%|█████▎    | 5367/10000 [14:01:19<14:45:16, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0330591201782227, dino_loss: 0.7265625, depth_loss: 0.0670844316482544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8116909265518188, dino_loss: 0.72265625, depth_loss: 0.06201598048210144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5368/10000 [14:01:31<14:50:29, 11.53s/it]
                                                          
{'loss': 2.5672, 'grad_norm': 2.983062744140625, 'learning_rate': 2.4024700367594085e-05, 'epoch': 0.05}

 54%|█████▎    | 5368/10000 [14:01:31<14:50:29, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9567282199859619, dino_loss: 0.671875, depth_loss: 0.05557619780302048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9002488851547241, dino_loss: 0.7109375, depth_loss: 0.0858304351568222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5369/10000 [14:01:43<15:10:40, 11.80s/it]
                                                          
{'loss': 2.585, 'grad_norm': 2.356732130050659, 'learning_rate': 2.4016439365564386e-05, 'epoch': 0.05}

 54%|█████▎    | 5369/10000 [14:01:43<15:10:40, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.924728274345398, dino_loss: 0.70703125, depth_loss: 0.05858413130044937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8376481533050537, dino_loss: 0.66015625, depth_loss: 0.060748666524887085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5370/10000 [14:01:55<15:14:27, 11.85s/it]
                                                          
{'loss': 2.4624, 'grad_norm': 2.3386690616607666, 'learning_rate': 2.4008178471095397e-05, 'epoch': 0.05}

 54%|█████▎    | 5370/10000 [14:01:55<15:14:27, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8871922492980957, dino_loss: 0.703125, depth_loss: 0.06883405894041061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7844329476356506, dino_loss: 0.68359375, depth_loss: 0.05445719510316849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5371/10000 [14:02:06<15:00:01, 11.67s/it]
                                                          
{'loss': 2.3192, 'grad_norm': 3.289454460144043, 'learning_rate': 2.3999917685090517e-05, 'epoch': 0.05}

 54%|█████▎    | 5371/10000 [14:02:06<15:00:01, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9140695333480835, dino_loss: 0.6875, depth_loss: 0.05365055426955223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0437779426574707, dino_loss: 0.68359375, depth_loss: 0.08293122053146362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5372/10000 [14:02:17<14:45:58, 11.49s/it]
                                                          
{'loss': 1.7423, 'grad_norm': 3.0392720699310303, 'learning_rate': 2.399165700845314e-05, 'epoch': 0.05}

 54%|█████▎    | 5372/10000 [14:02:17<14:45:58, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7623559236526489, dino_loss: 0.640625, depth_loss: 0.06847124546766281, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9132446646690369, dino_loss: 0.6640625, depth_loss: 0.05407572537660599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5373/10000 [14:02:29<14:59:29, 11.66s/it]
                                                          
{'loss': 2.233, 'grad_norm': 3.3981945514678955, 'learning_rate': 2.398339644208663e-05, 'epoch': 0.05}

 54%|█████▎    | 5373/10000 [14:02:29<14:59:29, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8011153936386108, dino_loss: 0.69140625, depth_loss: 0.0624404177069664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8239730596542358, dino_loss: 0.65234375, depth_loss: 0.05808277428150177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▎    | 5374/10000 [14:02:42<15:11:16, 11.82s/it]
                                                          
{'loss': 2.1323, 'grad_norm': 2.0103089809417725, 'learning_rate': 2.3975135986894363e-05, 'epoch': 0.05}

 54%|█████▎    | 5374/10000 [14:02:42<15:11:16, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6115625500679016, dino_loss: 0.6015625, depth_loss: 0.0472215972840786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8478541374206543, dino_loss: 0.68359375, depth_loss: 0.05110439658164978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5375/10000 [14:02:53<15:01:02, 11.69s/it]
                                                          
{'loss': 1.43, 'grad_norm': 3.4900002479553223, 'learning_rate': 2.3966875643779667e-05, 'epoch': 0.05}

 54%|█████▍    | 5375/10000 [14:02:53<15:01:02, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9033910036087036, dino_loss: 0.671875, depth_loss: 0.06887336075305939, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8907615542411804, dino_loss: 0.69140625, depth_loss: 0.09441524744033813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5376/10000 [14:03:04<14:39:54, 11.42s/it]
                                                          
{'loss': 2.1022, 'grad_norm': 2.9265780448913574, 'learning_rate': 2.3958615413645913e-05, 'epoch': 0.05}

 54%|█████▍    | 5376/10000 [14:03:04<14:39:54, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7663703560829163, dino_loss: 0.671875, depth_loss: 0.055373892188072205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7228551506996155, dino_loss: 0.625, depth_loss: 0.06115332245826721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5377/10000 [14:03:16<14:51:17, 11.57s/it]
                                                          
{'loss': 2.1167, 'grad_norm': 2.2034285068511963, 'learning_rate': 2.395035529739641e-05, 'epoch': 0.05}

 54%|█████▍    | 5377/10000 [14:03:16<14:51:17, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5530333518981934, dino_loss: 0.5546875, depth_loss: 0.043293192982673645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9108495712280273, dino_loss: 0.70703125, depth_loss: 0.063153475522995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5378/10000 [14:03:28<15:06:25, 11.77s/it]
                                                          
{'loss': 1.8231, 'grad_norm': 5.890878677368164, 'learning_rate': 2.3942095295934476e-05, 'epoch': 0.05}

 54%|█████▍    | 5378/10000 [14:03:28<15:06:25, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8771262168884277, dino_loss: 0.69140625, depth_loss: 0.07082418352365494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7786079049110413, dino_loss: 0.6171875, depth_loss: 0.04949188232421875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5379/10000 [14:03:40<15:10:46, 11.83s/it]
                                                          
{'loss': 2.3971, 'grad_norm': 2.6438307762145996, 'learning_rate': 2.3933835410163406e-05, 'epoch': 0.05}

 54%|█████▍    | 5379/10000 [14:03:40<15:10:46, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8286275267601013, dino_loss: 0.6796875, depth_loss: 0.057497888803482056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8885054588317871, dino_loss: 0.6796875, depth_loss: 0.06412609666585922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5380/10000 [14:03:51<14:59:39, 11.68s/it]
                                                          
{'loss': 1.9917, 'grad_norm': 2.4781956672668457, 'learning_rate': 2.392557564098649e-05, 'epoch': 0.05}

 54%|█████▍    | 5380/10000 [14:03:51<14:59:39, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8741413354873657, dino_loss: 0.67578125, depth_loss: 0.06703154742717743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0826382637023926, dino_loss: 0.734375, depth_loss: 0.06462959945201874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5381/10000 [14:04:03<14:58:02, 11.67s/it]
                                                          
{'loss': 2.6427, 'grad_norm': 3.1769213676452637, 'learning_rate': 2.3917315989307005e-05, 'epoch': 0.05}

 54%|█████▍    | 5381/10000 [14:04:03<14:58:02, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6843034029006958, dino_loss: 0.66015625, depth_loss: 0.06648074090480804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7164744138717651, dino_loss: 0.66796875, depth_loss: 0.06069890409708023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5382/10000 [14:04:14<14:45:16, 11.50s/it]
                                                          
{'loss': 1.4327, 'grad_norm': 3.944859266281128, 'learning_rate': 2.390905645602822e-05, 'epoch': 0.05}

 54%|█████▍    | 5382/10000 [14:04:14<14:45:16, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7810714840888977, dino_loss: 0.65625, depth_loss: 0.058720484375953674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9231078624725342, dino_loss: 0.76953125, depth_loss: 0.05981817841529846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5383/10000 [14:04:25<14:38:43, 11.42s/it]
                                                          
{'loss': 2.39, 'grad_norm': 2.295292377471924, 'learning_rate': 2.3900797042053382e-05, 'epoch': 0.05}

 54%|█████▍    | 5383/10000 [14:04:25<14:38:43, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8562600612640381, dino_loss: 0.671875, depth_loss: 0.05246170237660408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7036019563674927, dino_loss: 0.6875, depth_loss: 0.06398136913776398, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5384/10000 [14:04:36<14:35:57, 11.39s/it]
                                                          
{'loss': 1.8653, 'grad_norm': 2.808159828186035, 'learning_rate': 2.389253774828572e-05, 'epoch': 0.05}

 54%|█████▍    | 5384/10000 [14:04:36<14:35:57, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9869030117988586, dino_loss: 0.6796875, depth_loss: 0.0691261813044548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9301093816757202, dino_loss: 0.69140625, depth_loss: 0.0634828507900238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5385/10000 [14:04:47<14:26:41, 11.27s/it]
                                                          
{'loss': 2.0756, 'grad_norm': 2.333935499191284, 'learning_rate': 2.388427857562847e-05, 'epoch': 0.05}

 54%|█████▍    | 5385/10000 [14:04:47<14:26:41, 11.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8308737874031067, dino_loss: 0.6640625, depth_loss: 0.058551106601953506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.85013747215271, dino_loss: 0.6640625, depth_loss: 0.05252782627940178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5386/10000 [14:04:59<14:30:38, 11.32s/it]
                                                          
{'loss': 2.2174, 'grad_norm': 3.895603656768799, 'learning_rate': 2.3876019524984843e-05, 'epoch': 0.05}

 54%|█████▍    | 5386/10000 [14:04:59<14:30:38, 11.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.942338764667511, dino_loss: 0.68359375, depth_loss: 0.05761688947677612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0145509243011475, dino_loss: 0.67578125, depth_loss: 0.06445442885160446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5387/10000 [14:05:10<14:31:49, 11.34s/it]
                                                          
{'loss': 2.5072, 'grad_norm': 3.374799966812134, 'learning_rate': 2.3867760597258014e-05, 'epoch': 0.05}

 54%|█████▍    | 5387/10000 [14:05:10<14:31:49, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7989192008972168, dino_loss: 0.65625, depth_loss: 0.05300344526767731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8129597306251526, dino_loss: 0.6640625, depth_loss: 0.05568684637546539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5388/10000 [14:05:22<14:39:59, 11.45s/it]
                                                          
{'loss': 2.164, 'grad_norm': 3.0886595249176025, 'learning_rate': 2.3859501793351198e-05, 'epoch': 0.05}

 54%|█████▍    | 5388/10000 [14:05:22<14:39:59, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9786484837532043, dino_loss: 0.671875, depth_loss: 0.06503066420555115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8287904858589172, dino_loss: 0.68359375, depth_loss: 0.05411200597882271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5389/10000 [14:05:34<14:46:53, 11.54s/it]
                                                          
{'loss': 2.0581, 'grad_norm': 2.8621745109558105, 'learning_rate': 2.385124311416755e-05, 'epoch': 0.05}

 54%|█████▍    | 5389/10000 [14:05:34<14:46:53, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8660058975219727, dino_loss: 0.66796875, depth_loss: 0.061079319566488266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8057759404182434, dino_loss: 0.64453125, depth_loss: 0.04450036957859993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5390/10000 [14:05:45<14:39:55, 11.45s/it]
                                                          
{'loss': 1.9721, 'grad_norm': 1.9633325338363647, 'learning_rate': 2.3842984560610228e-05, 'epoch': 0.05}

 54%|█████▍    | 5390/10000 [14:05:45<14:39:55, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.777906060218811, dino_loss: 0.734375, depth_loss: 0.04286574199795723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8992992639541626, dino_loss: 0.73828125, depth_loss: 0.07945241034030914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5391/10000 [14:05:57<14:41:45, 11.48s/it]
                                                          
{'loss': 2.221, 'grad_norm': 3.3031275272369385, 'learning_rate': 2.3834726133582373e-05, 'epoch': 0.05}

 54%|█████▍    | 5391/10000 [14:05:57<14:41:45, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9086301326751709, dino_loss: 0.70703125, depth_loss: 0.05654994398355484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7583722472190857, dino_loss: 0.6484375, depth_loss: 0.0726122185587883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5392/10000 [14:06:08<14:47:03, 11.55s/it]
                                                          
{'loss': 2.0921, 'grad_norm': 6.158144950866699, 'learning_rate': 2.382646783398712e-05, 'epoch': 0.05}

 54%|█████▍    | 5392/10000 [14:06:08<14:47:03, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8706729412078857, dino_loss: 0.6640625, depth_loss: 0.044306106865406036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8719110488891602, dino_loss: 0.67578125, depth_loss: 0.0592779815196991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5393/10000 [14:06:20<14:42:41, 11.50s/it]
                                                          
{'loss': 2.0809, 'grad_norm': 1.8536171913146973, 'learning_rate': 2.3818209662727577e-05, 'epoch': 0.05}

 54%|█████▍    | 5393/10000 [14:06:20<14:42:41, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9116669297218323, dino_loss: 0.69140625, depth_loss: 0.049265433102846146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7072693109512329, dino_loss: 0.68359375, depth_loss: 0.08303599059581757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5394/10000 [14:06:32<14:56:53, 11.68s/it]
                                                          
{'loss': 2.3671, 'grad_norm': 3.095855474472046, 'learning_rate': 2.3809951620706838e-05, 'epoch': 0.05}

 54%|█████▍    | 5394/10000 [14:06:32<14:56:53, 11.68s/it]the number of masks: 5
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7185044884681702, dino_loss: 0.73828125, depth_loss: 0.06177164986729622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7119923233985901, dino_loss: 0.6328125, depth_loss: 0.05449754372239113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5395/10000 [14:06:43<14:48:08, 11.57s/it]
                                                          
{'loss': 1.6997, 'grad_norm': 2.613511085510254, 'learning_rate': 2.3801693708828013e-05, 'epoch': 0.05}

 54%|█████▍    | 5395/10000 [14:06:43<14:48:08, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8582465648651123, dino_loss: 0.72265625, depth_loss: 0.05207771807909012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9502553343772888, dino_loss: 0.703125, depth_loss: 0.06672046333551407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5396/10000 [14:06:55<14:55:25, 11.67s/it]
                                                          
{'loss': 2.1881, 'grad_norm': 3.0460751056671143, 'learning_rate': 2.3793435927994163e-05, 'epoch': 0.05}

 54%|█████▍    | 5396/10000 [14:06:55<14:55:25, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7902911305427551, dino_loss: 0.66015625, depth_loss: 0.06676984578371048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7658316493034363, dino_loss: 0.7265625, depth_loss: 0.0601571649312973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5397/10000 [14:07:06<14:50:56, 11.61s/it]
                                                          
{'loss': 1.7689, 'grad_norm': 4.098634243011475, 'learning_rate': 2.3785178279108344e-05, 'epoch': 0.05}

 54%|█████▍    | 5397/10000 [14:07:06<14:50:56, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7739254236221313, dino_loss: 0.63671875, depth_loss: 0.04075533151626587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8591948747634888, dino_loss: 0.640625, depth_loss: 0.06368881464004517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5398/10000 [14:07:18<14:43:03, 11.51s/it]
                                                          
{'loss': 1.6491, 'grad_norm': 3.723113775253296, 'learning_rate': 2.3776920763073602e-05, 'epoch': 0.05}

 54%|█████▍    | 5398/10000 [14:07:18<14:43:03, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.970249593257904, dino_loss: 0.6875, depth_loss: 0.0741022601723671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9335619807243347, dino_loss: 0.71484375, depth_loss: 0.05283087491989136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5399/10000 [14:07:29<14:47:20, 11.57s/it]
                                                          
{'loss': 2.1667, 'grad_norm': 4.636134624481201, 'learning_rate': 2.3768663380792966e-05, 'epoch': 0.05}

 54%|█████▍    | 5399/10000 [14:07:29<14:47:20, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8708909749984741, dino_loss: 0.7109375, depth_loss: 0.05635833367705345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7772805690765381, dino_loss: 0.7265625, depth_loss: 0.05251694098114967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5400/10000 [14:07:41<14:51:39, 11.63s/it]
                                                          
{'loss': 2.0556, 'grad_norm': 4.21294641494751, 'learning_rate': 2.3760406133169443e-05, 'epoch': 0.05}

 54%|█████▍    | 5400/10000 [14:07:41<14:51:39, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8497695326805115, dino_loss: 0.7109375, depth_loss: 0.053783852607011795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6633518934249878, dino_loss: 0.65234375, depth_loss: 0.05752360075712204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5401/10000 [14:07:53<14:58:26, 11.72s/it]
                                                          
{'loss': 2.184, 'grad_norm': 1.774176836013794, 'learning_rate': 2.375214902110605e-05, 'epoch': 0.05}

 54%|█████▍    | 5401/10000 [14:07:53<14:58:26, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9646022319793701, dino_loss: 0.66015625, depth_loss: 0.0684640184044838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6384624242782593, dino_loss: 0.67578125, depth_loss: 0.05137180536985397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5402/10000 [14:08:04<14:49:56, 11.61s/it]
                                                          
{'loss': 1.9366, 'grad_norm': 1.7265851497650146, 'learning_rate': 2.3743892045505764e-05, 'epoch': 0.05}

 54%|█████▍    | 5402/10000 [14:08:04<14:49:56, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7503033876419067, dino_loss: 0.70703125, depth_loss: 0.07429194450378418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8357077836990356, dino_loss: 0.69140625, depth_loss: 0.06237374246120453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5403/10000 [14:08:17<15:00:39, 11.76s/it]
                                                          
{'loss': 2.4802, 'grad_norm': 2.9765262603759766, 'learning_rate': 2.3735635207271557e-05, 'epoch': 0.05}

 54%|█████▍    | 5403/10000 [14:08:17<15:00:39, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9121274352073669, dino_loss: 0.6328125, depth_loss: 0.05765950679779053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7071533203125, dino_loss: 0.6640625, depth_loss: 0.05563913285732269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5404/10000 [14:08:28<15:03:04, 11.79s/it]
                                                          
{'loss': 2.2691, 'grad_norm': 2.2710113525390625, 'learning_rate': 2.372737850730638e-05, 'epoch': 0.05}

 54%|█████▍    | 5404/10000 [14:08:28<15:03:04, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8318438529968262, dino_loss: 0.6328125, depth_loss: 0.0436737947165966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9408694505691528, dino_loss: 0.75, depth_loss: 0.07420199364423752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5405/10000 [14:08:40<14:49:08, 11.61s/it]
                                                          
{'loss': 1.897, 'grad_norm': 1.5800433158874512, 'learning_rate': 2.3719121946513174e-05, 'epoch': 0.05}

 54%|█████▍    | 5405/10000 [14:08:40<14:49:08, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6219378113746643, dino_loss: 0.62890625, depth_loss: 0.05849797651171684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7042654156684875, dino_loss: 0.6484375, depth_loss: 0.0444745272397995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5406/10000 [14:08:52<15:05:07, 11.82s/it]
                                                          
{'loss': 1.7613, 'grad_norm': 1.8049923181533813, 'learning_rate': 2.3710865525794866e-05, 'epoch': 0.05}

 54%|█████▍    | 5406/10000 [14:08:52<15:05:07, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8285955190658569, dino_loss: 0.64453125, depth_loss: 0.05538409948348999, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9659085273742676, dino_loss: 0.6953125, depth_loss: 0.07804170995950699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5407/10000 [14:09:03<14:56:50, 11.72s/it]
                                                          
{'loss': 2.1922, 'grad_norm': 2.428060531616211, 'learning_rate': 2.370260924605437e-05, 'epoch': 0.05}

 54%|█████▍    | 5407/10000 [14:09:03<14:56:50, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7496964335441589, dino_loss: 0.71875, depth_loss: 0.04990484192967415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9025007486343384, dino_loss: 0.66015625, depth_loss: 0.05515868961811066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5408/10000 [14:09:15<14:52:55, 11.67s/it]
                                                          
{'loss': 2.109, 'grad_norm': 2.4325525760650635, 'learning_rate': 2.369435310819457e-05, 'epoch': 0.05}

 54%|█████▍    | 5408/10000 [14:09:15<14:52:55, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0532816648483276, dino_loss: 0.70703125, depth_loss: 0.0582759752869606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9333273768424988, dino_loss: 0.703125, depth_loss: 0.056900762021541595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5409/10000 [14:09:27<14:57:15, 11.73s/it]
                                                          
{'loss': 2.4386, 'grad_norm': 3.4525303840637207, 'learning_rate': 2.368609711311836e-05, 'epoch': 0.05}

 54%|█████▍    | 5409/10000 [14:09:27<14:57:15, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8648650050163269, dino_loss: 0.734375, depth_loss: 0.06327642500400543, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9296734929084778, dino_loss: 0.6875, depth_loss: 0.06666909903287888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5410/10000 [14:09:39<15:07:14, 11.86s/it]
                                                          
{'loss': 2.5194, 'grad_norm': 2.445183277130127, 'learning_rate': 2.367784126172859e-05, 'epoch': 0.05}

 54%|█████▍    | 5410/10000 [14:09:39<15:07:14, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6668421626091003, dino_loss: 0.62890625, depth_loss: 0.05073019117116928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9470247626304626, dino_loss: 0.71875, depth_loss: 0.05241093412041664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5411/10000 [14:09:51<15:03:13, 11.81s/it]
                                                          
{'loss': 2.2596, 'grad_norm': 1.8727835416793823, 'learning_rate': 2.3669585554928113e-05, 'epoch': 0.05}

 54%|█████▍    | 5411/10000 [14:09:51<15:03:13, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8038145899772644, dino_loss: 0.671875, depth_loss: 0.054080262780189514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9894559383392334, dino_loss: 0.7265625, depth_loss: 0.06678852438926697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5412/10000 [14:10:03<15:06:21, 11.85s/it]
                                                          
{'loss': 2.2723, 'grad_norm': 1.8058757781982422, 'learning_rate': 2.3661329993619757e-05, 'epoch': 0.05}

 54%|█████▍    | 5412/10000 [14:10:03<15:06:21, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8177446722984314, dino_loss: 0.7109375, depth_loss: 0.06921874731779099, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9037314653396606, dino_loss: 0.70703125, depth_loss: 0.05596429109573364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5413/10000 [14:10:14<15:00:32, 11.78s/it]
                                                          
{'loss': 2.3518, 'grad_norm': 3.282318115234375, 'learning_rate': 2.3653074578706334e-05, 'epoch': 0.05}

 54%|█████▍    | 5413/10000 [14:10:14<15:00:32, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9193829298019409, dino_loss: 0.65234375, depth_loss: 0.06440634280443192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.85564124584198, dino_loss: 0.7265625, depth_loss: 0.0672878697514534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5414/10000 [14:10:26<15:00:11, 11.78s/it]
                                                          
{'loss': 2.0644, 'grad_norm': 7.992863655090332, 'learning_rate': 2.364481931109066e-05, 'epoch': 0.05}

 54%|█████▍    | 5414/10000 [14:10:26<15:00:11, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8821667432785034, dino_loss: 0.625, depth_loss: 0.048584580421447754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8146432638168335, dino_loss: 0.69921875, depth_loss: 0.06457248330116272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5415/10000 [14:10:37<14:49:19, 11.64s/it]
                                                          
{'loss': 1.716, 'grad_norm': 3.006014823913574, 'learning_rate': 2.3636564191675507e-05, 'epoch': 0.05}

 54%|█████▍    | 5415/10000 [14:10:37<14:49:19, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6713259816169739, dino_loss: 0.57421875, depth_loss: 0.04569572955369949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7933541536331177, dino_loss: 0.71484375, depth_loss: 0.05822143331170082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5416/10000 [14:10:49<14:50:55, 11.66s/it]
                                                          
{'loss': 2.0491, 'grad_norm': 3.694652557373047, 'learning_rate': 2.3628309221363645e-05, 'epoch': 0.05}

 54%|█████▍    | 5416/10000 [14:10:49<14:50:55, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1238725185394287, dino_loss: 0.640625, depth_loss: 0.06470393389463425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8598339557647705, dino_loss: 0.671875, depth_loss: 0.049174319952726364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5417/10000 [14:11:00<14:38:08, 11.50s/it]
                                                          
{'loss': 2.3212, 'grad_norm': 7.009035587310791, 'learning_rate': 2.3620054401057824e-05, 'epoch': 0.05}

 54%|█████▍    | 5417/10000 [14:11:00<14:38:08, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8723924160003662, dino_loss: 0.73046875, depth_loss: 0.07954835891723633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8517236709594727, dino_loss: 0.69921875, depth_loss: 0.06481674313545227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5418/10000 [14:11:12<14:37:39, 11.49s/it]
                                                          
{'loss': 2.3574, 'grad_norm': 2.9396142959594727, 'learning_rate': 2.361179973166078e-05, 'epoch': 0.05}

 54%|█████▍    | 5418/10000 [14:11:12<14:37:39, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8610804677009583, dino_loss: 0.66796875, depth_loss: 0.0634876936674118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.046550989151001, dino_loss: 0.6953125, depth_loss: 0.07044815272092819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5419/10000 [14:11:23<14:25:53, 11.34s/it]
                                                          
{'loss': 2.3372, 'grad_norm': 3.475750684738159, 'learning_rate': 2.360354521407522e-05, 'epoch': 0.05}

 54%|█████▍    | 5419/10000 [14:11:23<14:25:53, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8405090570449829, dino_loss: 0.703125, depth_loss: 0.049425408244132996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9221005439758301, dino_loss: 0.72265625, depth_loss: 0.06504375487565994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5420/10000 [14:11:34<14:16:04, 11.21s/it]
                                                          
{'loss': 1.894, 'grad_norm': 4.415957450866699, 'learning_rate': 2.3595290849203862e-05, 'epoch': 0.05}

 54%|█████▍    | 5420/10000 [14:11:34<14:16:04, 11.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8472576141357422, dino_loss: 0.734375, depth_loss: 0.08301683515310287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8737936615943909, dino_loss: 0.66015625, depth_loss: 0.07380896806716919, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5421/10000 [14:11:46<14:38:12, 11.51s/it]
                                                          
{'loss': 2.3966, 'grad_norm': 3.0996010303497314, 'learning_rate': 2.3587036637949388e-05, 'epoch': 0.05}

 54%|█████▍    | 5421/10000 [14:11:46<14:38:12, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.012813925743103, dino_loss: 0.6640625, depth_loss: 0.04589546099305153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8307510614395142, dino_loss: 0.71484375, depth_loss: 0.044267330318689346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5422/10000 [14:11:58<14:59:39, 11.79s/it]
                                                          
{'loss': 2.6899, 'grad_norm': 2.775540351867676, 'learning_rate': 2.3578782581214465e-05, 'epoch': 0.05}

 54%|█████▍    | 5422/10000 [14:11:58<14:59:39, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6838730573654175, dino_loss: 0.6015625, depth_loss: 0.045973777770996094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9396196007728577, dino_loss: 0.70703125, depth_loss: 0.06988638639450073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5423/10000 [14:12:10<14:54:03, 11.72s/it]
                                                          
{'loss': 1.9777, 'grad_norm': 3.382181406021118, 'learning_rate': 2.3570528679901736e-05, 'epoch': 0.05}

 54%|█████▍    | 5423/10000 [14:12:10<14:54:03, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8213415145874023, dino_loss: 0.6640625, depth_loss: 0.06745556741952896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8777773380279541, dino_loss: 0.6484375, depth_loss: 0.050525132566690445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5424/10000 [14:12:21<14:48:28, 11.65s/it]
                                                          
{'loss': 2.0714, 'grad_norm': 3.229346990585327, 'learning_rate': 2.3562274934913847e-05, 'epoch': 0.05}

 54%|█████▍    | 5424/10000 [14:12:21<14:48:28, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8459968566894531, dino_loss: 0.65234375, depth_loss: 0.04527917131781578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.910403311252594, dino_loss: 0.6640625, depth_loss: 0.05402359366416931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5425/10000 [14:12:33<14:46:27, 11.63s/it]
                                                          
{'loss': 2.0035, 'grad_norm': 1.799443006515503, 'learning_rate': 2.3554021347153403e-05, 'epoch': 0.05}

 54%|█████▍    | 5425/10000 [14:12:33<14:46:27, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9624395370483398, dino_loss: 0.7109375, depth_loss: 0.06191607564687729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8375533819198608, dino_loss: 0.7109375, depth_loss: 0.06003841757774353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5426/10000 [14:12:46<15:22:43, 12.10s/it]
                                                          
{'loss': 2.4733, 'grad_norm': 2.766671657562256, 'learning_rate': 2.354576791752301e-05, 'epoch': 0.05}

 54%|█████▍    | 5426/10000 [14:12:46<15:22:43, 12.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.839726448059082, dino_loss: 0.6953125, depth_loss: 0.053742796182632446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9485376477241516, dino_loss: 0.68359375, depth_loss: 0.050126638263463974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5427/10000 [14:12:58<15:23:30, 12.12s/it]
                                                          
{'loss': 2.2045, 'grad_norm': 4.457692623138428, 'learning_rate': 2.3537514646925257e-05, 'epoch': 0.05}

 54%|█████▍    | 5427/10000 [14:12:58<15:23:30, 12.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9663951396942139, dino_loss: 0.6796875, depth_loss: 0.059254229068756104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.8097416758537292, dino_loss: 0.65625, depth_loss: 0.05380314216017723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5428/10000 [14:13:10<15:06:01, 11.89s/it]
                                                          
{'loss': 1.8398, 'grad_norm': 3.1665737628936768, 'learning_rate': 2.3529261536262703e-05, 'epoch': 0.05}

 54%|█████▍    | 5428/10000 [14:13:10<15:06:01, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1041057109832764, dino_loss: 0.6875, depth_loss: 0.061193421483039856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7640954256057739, dino_loss: 0.69140625, depth_loss: 0.06641387939453125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5429/10000 [14:13:21<15:01:10, 11.83s/it]
                                                          
{'loss': 2.1203, 'grad_norm': 4.0099005699157715, 'learning_rate': 2.352100858643789e-05, 'epoch': 0.05}

 54%|█████▍    | 5429/10000 [14:13:21<15:01:10, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8289441466331482, dino_loss: 0.671875, depth_loss: 0.05433974787592888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9774863719940186, dino_loss: 0.6640625, depth_loss: 0.06399869173765182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5430/10000 [14:13:33<14:59:34, 11.81s/it]
                                                          
{'loss': 1.9948, 'grad_norm': 2.3747658729553223, 'learning_rate': 2.351275579835336e-05, 'epoch': 0.05}

 54%|█████▍    | 5430/10000 [14:13:33<14:59:34, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8532152771949768, dino_loss: 0.67578125, depth_loss: 0.055609218776226044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8263850212097168, dino_loss: 0.62109375, depth_loss: 0.05693410336971283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5431/10000 [14:13:45<15:10:46, 11.96s/it]
                                                          
{'loss': 2.7378, 'grad_norm': 3.1279828548431396, 'learning_rate': 2.3504503172911622e-05, 'epoch': 0.05}

 54%|█████▍    | 5431/10000 [14:13:45<15:10:46, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7344372272491455, dino_loss: 0.640625, depth_loss: 0.053539179265499115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8496263027191162, dino_loss: 0.71484375, depth_loss: 0.09476373344659805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5432/10000 [14:13:57<15:02:04, 11.85s/it]
                                                          
{'loss': 1.9595, 'grad_norm': 2.403646230697632, 'learning_rate': 2.349625071101516e-05, 'epoch': 0.05}

 54%|█████▍    | 5432/10000 [14:13:57<15:02:04, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.673485517501831, dino_loss: 0.59765625, depth_loss: 0.04904840141534805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8277983665466309, dino_loss: 0.71875, depth_loss: 0.06771142780780792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5433/10000 [14:14:09<14:56:43, 11.78s/it]
                                                          
{'loss': 1.7165, 'grad_norm': 2.256256341934204, 'learning_rate': 2.3487998413566463e-05, 'epoch': 0.05}

 54%|█████▍    | 5433/10000 [14:14:09<14:56:43, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0188889503479004, dino_loss: 0.7578125, depth_loss: 0.0600881353020668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8686482906341553, dino_loss: 0.66796875, depth_loss: 0.06148223578929901, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5434/10000 [14:14:20<14:41:39, 11.59s/it]
                                                          
{'loss': 2.3598, 'grad_norm': 3.6985127925872803, 'learning_rate': 2.347974628146799e-05, 'epoch': 0.05}

 54%|█████▍    | 5434/10000 [14:14:20<14:41:39, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6971626877784729, dino_loss: 0.70703125, depth_loss: 0.05850168317556381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8953601121902466, dino_loss: 0.6796875, depth_loss: 0.06259848177433014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5435/10000 [14:14:31<14:43:54, 11.62s/it]
                                                          
{'loss': 2.0822, 'grad_norm': 1.4005361795425415, 'learning_rate': 2.3471494315622177e-05, 'epoch': 0.05}

 54%|█████▍    | 5435/10000 [14:14:31<14:43:54, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7500146627426147, dino_loss: 0.62890625, depth_loss: 0.04967575892806053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7463223934173584, dino_loss: 0.703125, depth_loss: 0.07439161837100983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5436/10000 [14:14:43<14:45:47, 11.65s/it]
                                                          
{'loss': 2.3492, 'grad_norm': 4.587813854217529, 'learning_rate': 2.3463242516931445e-05, 'epoch': 0.05}

 54%|█████▍    | 5436/10000 [14:14:43<14:45:47, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8849791884422302, dino_loss: 0.68359375, depth_loss: 0.06797240674495697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7601113319396973, dino_loss: 0.63671875, depth_loss: 0.06175306439399719, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5437/10000 [14:14:55<14:44:54, 11.64s/it]
                                                          
{'loss': 1.7709, 'grad_norm': 4.426910877227783, 'learning_rate': 2.3454990886298207e-05, 'epoch': 0.05}

 54%|█████▍    | 5437/10000 [14:14:55<14:44:54, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7852940559387207, dino_loss: 0.67578125, depth_loss: 0.07360801100730896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7772349715232849, dino_loss: 0.6640625, depth_loss: 0.05889327824115753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5438/10000 [14:15:07<14:59:03, 11.82s/it]
                                                          
{'loss': 2.4654, 'grad_norm': 4.768750190734863, 'learning_rate': 2.3446739424624827e-05, 'epoch': 0.05}

 54%|█████▍    | 5438/10000 [14:15:07<14:59:03, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8535865545272827, dino_loss: 0.71875, depth_loss: 0.06839112192392349, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9321142435073853, dino_loss: 0.70703125, depth_loss: 0.06496952474117279, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5439/10000 [14:15:18<14:46:30, 11.66s/it]
                                                          
{'loss': 2.0916, 'grad_norm': 4.827560901641846, 'learning_rate': 2.3438488132813702e-05, 'epoch': 0.05}

 54%|█████▍    | 5439/10000 [14:15:18<14:46:30, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8306485414505005, dino_loss: 0.70703125, depth_loss: 0.0702674463391304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8372054100036621, dino_loss: 0.671875, depth_loss: 0.057702209800481796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5440/10000 [14:15:30<14:43:50, 11.63s/it]
                                                          
{'loss': 2.1007, 'grad_norm': 4.710875988006592, 'learning_rate': 2.3430237011767167e-05, 'epoch': 0.05}

 54%|█████▍    | 5440/10000 [14:15:30<14:43:50, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8400274515151978, dino_loss: 0.703125, depth_loss: 0.06592074781656265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9601076245307922, dino_loss: 0.6875, depth_loss: 0.08126768469810486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5441/10000 [14:15:42<14:51:34, 11.73s/it]
                                                          
{'loss': 2.049, 'grad_norm': 2.6409919261932373, 'learning_rate': 2.3421986062387553e-05, 'epoch': 0.05}

 54%|█████▍    | 5441/10000 [14:15:42<14:51:34, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7765957713127136, dino_loss: 0.625, depth_loss: 0.043391790241003036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6913217306137085, dino_loss: 0.65234375, depth_loss: 0.05305446684360504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5442/10000 [14:15:54<14:58:17, 11.82s/it]
                                                          
{'loss': 2.1834, 'grad_norm': 3.3410146236419678, 'learning_rate': 2.3413735285577167e-05, 'epoch': 0.05}

 54%|█████▍    | 5442/10000 [14:15:54<14:58:17, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9073591232299805, dino_loss: 0.703125, depth_loss: 0.05392760783433914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8004331588745117, dino_loss: 0.72265625, depth_loss: 0.056461550295352936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5443/10000 [14:16:05<14:52:55, 11.76s/it]
                                                          
{'loss': 1.8763, 'grad_norm': 3.3189871311187744, 'learning_rate': 2.3405484682238308e-05, 'epoch': 0.05}

 54%|█████▍    | 5443/10000 [14:16:05<14:52:55, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8560582995414734, dino_loss: 0.73046875, depth_loss: 0.06689189374446869, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8180372714996338, dino_loss: 0.6953125, depth_loss: 0.06312864273786545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5444/10000 [14:16:17<14:55:27, 11.79s/it]
                                                          
{'loss': 2.4555, 'grad_norm': 4.917455673217773, 'learning_rate': 2.3397234253273246e-05, 'epoch': 0.05}

 54%|█████▍    | 5444/10000 [14:16:17<14:55:27, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8089534044265747, dino_loss: 0.65625, depth_loss: 0.060480520129203796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8402442932128906, dino_loss: 0.7109375, depth_loss: 0.0697011649608612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5445/10000 [14:16:29<15:00:32, 11.86s/it]
                                                          
{'loss': 1.9164, 'grad_norm': 3.4471747875213623, 'learning_rate': 2.3388983999584224e-05, 'epoch': 0.05}

 54%|█████▍    | 5445/10000 [14:16:29<15:00:32, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.039671778678894, dino_loss: 0.69921875, depth_loss: 0.05416734516620636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7137444615364075, dino_loss: 0.68359375, depth_loss: 0.047890108078718185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5446/10000 [14:16:41<14:55:38, 11.80s/it]
                                                          
{'loss': 2.058, 'grad_norm': 4.46656608581543, 'learning_rate': 2.3380733922073502e-05, 'epoch': 0.05}

 54%|█████▍    | 5446/10000 [14:16:41<14:55:38, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8649426698684692, dino_loss: 0.69921875, depth_loss: 0.07470118999481201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6909624338150024, dino_loss: 0.7265625, depth_loss: 0.06297801434993744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5447/10000 [14:16:52<14:46:00, 11.68s/it]
                                                          
{'loss': 1.9026, 'grad_norm': 1.9630366563796997, 'learning_rate': 2.3372484021643284e-05, 'epoch': 0.05}

 54%|█████▍    | 5447/10000 [14:16:52<14:46:00, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8744737505912781, dino_loss: 0.6796875, depth_loss: 0.07118656486272812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8493883013725281, dino_loss: 0.62109375, depth_loss: 0.041422612965106964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5448/10000 [14:17:03<14:32:47, 11.50s/it]
                                                          
{'loss': 1.9585, 'grad_norm': 3.081136465072632, 'learning_rate': 2.3364234299195766e-05, 'epoch': 0.05}

 54%|█████▍    | 5448/10000 [14:17:03<14:32:47, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9545040130615234, dino_loss: 0.6328125, depth_loss: 0.04166021943092346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8332781195640564, dino_loss: 0.734375, depth_loss: 0.07630842924118042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 54%|█████▍    | 5449/10000 [14:17:16<14:52:10, 11.76s/it]
                                                          
{'loss': 2.4354, 'grad_norm': 4.311786651611328, 'learning_rate': 2.335598475563313e-05, 'epoch': 0.05}

 54%|█████▍    | 5449/10000 [14:17:16<14:52:10, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8537848591804504, dino_loss: 0.69140625, depth_loss: 0.05342606455087662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8841900825500488, dino_loss: 0.71875, depth_loss: 0.05116375535726547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5450/10000 [14:17:28<14:54:56, 11.80s/it]
                                                          
{'loss': 2.0467, 'grad_norm': 4.343419075012207, 'learning_rate': 2.334773539185752e-05, 'epoch': 0.05}

 55%|█████▍    | 5450/10000 [14:17:28<14:54:56, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7639458179473877, dino_loss: 0.62109375, depth_loss: 0.047198180109262466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8526955246925354, dino_loss: 0.66796875, depth_loss: 0.06913399696350098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5451/10000 [14:17:40<14:55:23, 11.81s/it]
                                                          
{'loss': 2.1983, 'grad_norm': 2.879625082015991, 'learning_rate': 2.333948620877108e-05, 'epoch': 0.05}

 55%|█████▍    | 5451/10000 [14:17:40<14:55:23, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8009505867958069, dino_loss: 0.6875, depth_loss: 0.05329284816980362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9216932058334351, dino_loss: 0.6796875, depth_loss: 0.06117191165685654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5452/10000 [14:17:50<14:33:21, 11.52s/it]
                                                          
{'loss': 2.0662, 'grad_norm': 2.7528014183044434, 'learning_rate': 2.333123720727594e-05, 'epoch': 0.05}

 55%|█████▍    | 5452/10000 [14:17:50<14:33:21, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9239423274993896, dino_loss: 0.68359375, depth_loss: 0.057369034737348557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9127469062805176, dino_loss: 0.69140625, depth_loss: 0.055072035640478134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5453/10000 [14:18:02<14:32:36, 11.51s/it]
                                                          
{'loss': 2.1103, 'grad_norm': 4.434741973876953, 'learning_rate': 2.332298838827419e-05, 'epoch': 0.05}

 55%|█████▍    | 5453/10000 [14:18:02<14:32:36, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.026213526725769, dino_loss: 0.69921875, depth_loss: 0.06067657843232155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8420776724815369, dino_loss: 0.6796875, depth_loss: 0.07491056621074677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5454/10000 [14:18:14<14:41:23, 11.63s/it]
                                                          
{'loss': 3.072, 'grad_norm': 2.832693338394165, 'learning_rate': 2.3314739752667906e-05, 'epoch': 0.05}

 55%|█████▍    | 5454/10000 [14:18:14<14:41:23, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8314487934112549, dino_loss: 0.671875, depth_loss: 0.05864686146378517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8788530230522156, dino_loss: 0.65625, depth_loss: 0.05863909050822258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5455/10000 [14:18:25<14:36:07, 11.57s/it]
                                                          
{'loss': 2.0718, 'grad_norm': 2.71280574798584, 'learning_rate': 2.330649130135915e-05, 'epoch': 0.05}

 55%|█████▍    | 5455/10000 [14:18:25<14:36:07, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8664977550506592, dino_loss: 0.66796875, depth_loss: 0.05557048320770264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9122143983840942, dino_loss: 0.734375, depth_loss: 0.07094783335924149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5456/10000 [14:18:37<14:51:19, 11.77s/it]
                                                          
{'loss': 2.1803, 'grad_norm': 2.358755111694336, 'learning_rate': 2.329824303524996e-05, 'epoch': 0.05}

 55%|█████▍    | 5456/10000 [14:18:37<14:51:19, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0332409143447876, dino_loss: 0.6953125, depth_loss: 0.05734826624393463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8221036195755005, dino_loss: 0.703125, depth_loss: 0.06953028589487076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5457/10000 [14:18:49<14:37:54, 11.59s/it]
                                                          
{'loss': 1.9077, 'grad_norm': 3.542771339416504, 'learning_rate': 2.328999495524235e-05, 'epoch': 0.05}

 55%|█████▍    | 5457/10000 [14:18:49<14:37:54, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9564580917358398, dino_loss: 0.6796875, depth_loss: 0.047392234206199646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7465978860855103, dino_loss: 0.625, depth_loss: 0.06001443415880203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5458/10000 [14:19:00<14:33:01, 11.53s/it]
                                                          
{'loss': 2.182, 'grad_norm': 3.012808084487915, 'learning_rate': 2.328174706223832e-05, 'epoch': 0.05}

 55%|█████▍    | 5458/10000 [14:19:00<14:33:01, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8797836303710938, dino_loss: 0.69921875, depth_loss: 0.06704740226268768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8328487277030945, dino_loss: 0.67578125, depth_loss: 0.0611303448677063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5459/10000 [14:19:11<14:30:57, 11.51s/it]
                                                          
{'loss': 2.2283, 'grad_norm': 5.5403151512146, 'learning_rate': 2.3273499357139855e-05, 'epoch': 0.05}

 55%|█████▍    | 5459/10000 [14:19:11<14:30:57, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9547500610351562, dino_loss: 0.6953125, depth_loss: 0.06995813548564911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7648290395736694, dino_loss: 0.62109375, depth_loss: 0.07192929089069366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5460/10000 [14:19:23<14:36:11, 11.58s/it]
                                                          
{'loss': 2.4979, 'grad_norm': 2.4065191745758057, 'learning_rate': 2.32652518408489e-05, 'epoch': 0.05}

 55%|█████▍    | 5460/10000 [14:19:23<14:36:11, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8617162108421326, dino_loss: 0.703125, depth_loss: 0.05701335519552231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7486810684204102, dino_loss: 0.72265625, depth_loss: 0.053305745124816895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5461/10000 [14:19:35<14:34:33, 11.56s/it]
                                                          
{'loss': 2.1514, 'grad_norm': 3.415018320083618, 'learning_rate': 2.32570045142674e-05, 'epoch': 0.05}

 55%|█████▍    | 5461/10000 [14:19:35<14:34:33, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7765367031097412, dino_loss: 0.671875, depth_loss: 0.05179201066493988, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8780304789543152, dino_loss: 0.6796875, depth_loss: 0.05251437798142433, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5462/10000 [14:19:46<14:35:49, 11.58s/it]
                                                          
{'loss': 2.3632, 'grad_norm': 4.950087070465088, 'learning_rate': 2.3248757378297263e-05, 'epoch': 0.05}

 55%|█████▍    | 5462/10000 [14:19:46<14:35:49, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8605858683586121, dino_loss: 0.69921875, depth_loss: 0.05757130682468414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.802502453327179, dino_loss: 0.7421875, depth_loss: 0.06236037611961365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5463/10000 [14:19:58<14:43:45, 11.69s/it]
                                                          
{'loss': 2.2611, 'grad_norm': 3.0695641040802, 'learning_rate': 2.324051043384039e-05, 'epoch': 0.05}

 55%|█████▍    | 5463/10000 [14:19:58<14:43:45, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9764331579208374, dino_loss: 0.71484375, depth_loss: 0.06597594171762466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8920573592185974, dino_loss: 0.71875, depth_loss: 0.06504440307617188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5464/10000 [14:20:10<14:42:21, 11.67s/it]
                                                          
{'loss': 2.3013, 'grad_norm': 2.546445846557617, 'learning_rate': 2.3232263681798632e-05, 'epoch': 0.05}

 55%|█████▍    | 5464/10000 [14:20:10<14:42:21, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7222694754600525, dino_loss: 0.66015625, depth_loss: 0.04885782301425934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9240888357162476, dino_loss: 0.70703125, depth_loss: 0.05855356901884079, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5465/10000 [14:20:22<14:49:05, 11.76s/it]
                                                          
{'loss': 1.9251, 'grad_norm': 3.3812448978424072, 'learning_rate': 2.3224017123073877e-05, 'epoch': 0.05}

 55%|█████▍    | 5465/10000 [14:20:22<14:49:05, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8178375959396362, dino_loss: 0.6796875, depth_loss: 0.061768777668476105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.853390634059906, dino_loss: 0.66796875, depth_loss: 0.06459090113639832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5466/10000 [14:20:33<14:42:54, 11.68s/it]
                                                          
{'loss': 2.3168, 'grad_norm': 2.1788830757141113, 'learning_rate': 2.321577075856794e-05, 'epoch': 0.05}

 55%|█████▍    | 5466/10000 [14:20:33<14:42:54, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7709541916847229, dino_loss: 0.63671875, depth_loss: 0.05533721297979355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8697965741157532, dino_loss: 0.72265625, depth_loss: 0.05266915261745453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5467/10000 [14:20:45<14:43:16, 11.69s/it]
                                                          
{'loss': 2.1298, 'grad_norm': 3.114288091659546, 'learning_rate': 2.3207524589182627e-05, 'epoch': 0.05}

 55%|█████▍    | 5467/10000 [14:20:45<14:43:16, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0072294473648071, dino_loss: 0.6875, depth_loss: 0.06823298335075378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7417222261428833, dino_loss: 0.66015625, depth_loss: 0.05233260616660118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5468/10000 [14:20:57<14:49:55, 11.78s/it]
                                                          
{'loss': 2.4491, 'grad_norm': 2.275458335876465, 'learning_rate': 2.3199278615819732e-05, 'epoch': 0.05}

 55%|█████▍    | 5468/10000 [14:20:57<14:49:55, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0068875551223755, dino_loss: 0.6640625, depth_loss: 0.06939366459846497, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8054056167602539, dino_loss: 0.734375, depth_loss: 0.05921051651239395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5469/10000 [14:21:09<14:51:48, 11.81s/it]
                                                          
{'loss': 2.3724, 'grad_norm': 1.9607385396957397, 'learning_rate': 2.3191032839381017e-05, 'epoch': 0.05}

 55%|█████▍    | 5469/10000 [14:21:09<14:51:48, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5785720348358154, dino_loss: 0.6171875, depth_loss: 0.04578607529401779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9894105195999146, dino_loss: 0.7109375, depth_loss: 0.05983806028962135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5470/10000 [14:21:20<14:43:06, 11.70s/it]
                                                          
{'loss': 1.7968, 'grad_norm': 3.2227425575256348, 'learning_rate': 2.3182787260768223e-05, 'epoch': 0.05}

 55%|█████▍    | 5470/10000 [14:21:20<14:43:06, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7592106461524963, dino_loss: 0.6484375, depth_loss: 0.04657748341560364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8496500849723816, dino_loss: 0.73828125, depth_loss: 0.05708962678909302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5471/10000 [14:21:32<14:39:06, 11.65s/it]
                                                          
{'loss': 2.3189, 'grad_norm': 4.814120769500732, 'learning_rate': 2.3174541880883093e-05, 'epoch': 0.05}

 55%|█████▍    | 5471/10000 [14:21:32<14:39:06, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7551852464675903, dino_loss: 0.73828125, depth_loss: 0.0695100873708725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9877002835273743, dino_loss: 0.6484375, depth_loss: 0.049820587038993835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5472/10000 [14:21:44<14:45:55, 11.74s/it]
                                                          
{'loss': 2.6418, 'grad_norm': 2.561630964279175, 'learning_rate': 2.3166296700627315e-05, 'epoch': 0.05}

 55%|█████▍    | 5472/10000 [14:21:44<14:45:55, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9611682295799255, dino_loss: 0.6953125, depth_loss: 0.051770538091659546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9770475625991821, dino_loss: 0.73828125, depth_loss: 0.06325529515743256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5473/10000 [14:21:56<14:57:55, 11.90s/it]
                                                          
{'loss': 2.808, 'grad_norm': 3.4128801822662354, 'learning_rate': 2.3158051720902576e-05, 'epoch': 0.05}

 55%|█████▍    | 5473/10000 [14:21:56<14:57:55, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.000514268875122, dino_loss: 0.73828125, depth_loss: 0.07417824119329453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9114691615104675, dino_loss: 0.734375, depth_loss: 0.056304674595594406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5474/10000 [14:22:07<14:38:06, 11.64s/it]
                                                          
{'loss': 2.3149, 'grad_norm': 3.3458471298217773, 'learning_rate': 2.3149806942610532e-05, 'epoch': 0.05}

 55%|█████▍    | 5474/10000 [14:22:07<14:38:06, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7271459102630615, dino_loss: 0.6640625, depth_loss: 0.07012052088975906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6912973523139954, dino_loss: 0.62109375, depth_loss: 0.0558679960668087, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5475/10000 [14:22:19<14:39:55, 11.67s/it]
                                                          
{'loss': 1.8824, 'grad_norm': 5.735185623168945, 'learning_rate': 2.3141562366652812e-05, 'epoch': 0.05}

 55%|█████▍    | 5475/10000 [14:22:19<14:39:55, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7144994735717773, dino_loss: 0.6328125, depth_loss: 0.058721352368593216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9021875262260437, dino_loss: 0.71875, depth_loss: 0.06961547583341599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5476/10000 [14:22:31<14:40:18, 11.68s/it]
                                                          
{'loss': 2.0615, 'grad_norm': 5.062166213989258, 'learning_rate': 2.3133317993931043e-05, 'epoch': 0.05}

 55%|█████▍    | 5476/10000 [14:22:31<14:40:18, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8737897276878357, dino_loss: 0.69140625, depth_loss: 0.05986737459897995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.778143048286438, dino_loss: 0.59765625, depth_loss: 0.037511829286813736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5477/10000 [14:22:42<14:25:33, 11.48s/it]
                                                          
{'loss': 1.7581, 'grad_norm': 2.5643675327301025, 'learning_rate': 2.3125073825346806e-05, 'epoch': 0.05}

 55%|█████▍    | 5477/10000 [14:22:42<14:25:33, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7486628293991089, dino_loss: 0.6640625, depth_loss: 0.04495371878147125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.728198766708374, dino_loss: 0.63671875, depth_loss: 0.051053039729595184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5478/10000 [14:22:53<14:30:41, 11.55s/it]
                                                          
{'loss': 1.7152, 'grad_norm': 2.5298280715942383, 'learning_rate': 2.3116829861801686e-05, 'epoch': 0.05}

 55%|█████▍    | 5478/10000 [14:22:53<14:30:41, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7584729790687561, dino_loss: 0.66796875, depth_loss: 0.06018302962183952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8798884153366089, dino_loss: 0.71875, depth_loss: 0.07178500294685364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5479/10000 [14:23:05<14:36:56, 11.64s/it]
                                                          
{'loss': 2.1383, 'grad_norm': 2.80416202545166, 'learning_rate': 2.3108586104197212e-05, 'epoch': 0.05}

 55%|█████▍    | 5479/10000 [14:23:05<14:36:56, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.69300377368927, dino_loss: 0.74609375, depth_loss: 0.07679588347673416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9658678770065308, dino_loss: 0.7265625, depth_loss: 0.051872022449970245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5480/10000 [14:23:17<14:51:00, 11.83s/it]
                                                          
{'loss': 2.6339, 'grad_norm': 3.3138179779052734, 'learning_rate': 2.3100342553434924e-05, 'epoch': 0.05}

 55%|█████▍    | 5480/10000 [14:23:17<14:51:00, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7779366970062256, dino_loss: 0.6640625, depth_loss: 0.05553996190428734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7256929874420166, dino_loss: 0.66796875, depth_loss: 0.05338206887245178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5481/10000 [14:23:29<14:49:26, 11.81s/it]
                                                          
{'loss': 1.6084, 'grad_norm': 4.682737827301025, 'learning_rate': 2.309209921041632e-05, 'epoch': 0.05}

 55%|█████▍    | 5481/10000 [14:23:29<14:49:26, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8676226139068604, dino_loss: 0.7109375, depth_loss: 0.06441022455692291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8858844637870789, dino_loss: 0.68359375, depth_loss: 0.08576928079128265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5482/10000 [14:23:41<14:45:23, 11.76s/it]
                                                          
{'loss': 2.2519, 'grad_norm': 2.6634533405303955, 'learning_rate': 2.308385607604287e-05, 'epoch': 0.05}

 55%|█████▍    | 5482/10000 [14:23:41<14:45:23, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8468408584594727, dino_loss: 0.7578125, depth_loss: 0.0632011741399765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7973819375038147, dino_loss: 0.66796875, depth_loss: 0.07503718137741089, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5483/10000 [14:23:52<14:40:17, 11.69s/it]
                                                          
{'loss': 1.6186, 'grad_norm': 3.9833953380584717, 'learning_rate': 2.3075613151216037e-05, 'epoch': 0.05}

 55%|█████▍    | 5483/10000 [14:23:52<14:40:17, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6779676675796509, dino_loss: 0.671875, depth_loss: 0.06153765693306923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9147819876670837, dino_loss: 0.703125, depth_loss: 0.0790722519159317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5484/10000 [14:24:04<14:44:50, 11.76s/it]
                                                          
{'loss': 1.9612, 'grad_norm': 3.0456702709198, 'learning_rate': 2.3067370436837263e-05, 'epoch': 0.05}

 55%|█████▍    | 5484/10000 [14:24:04<14:44:50, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8627027869224548, dino_loss: 0.66015625, depth_loss: 0.04663432389497757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7619351744651794, dino_loss: 0.6328125, depth_loss: 0.04882445186376572, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5485/10000 [14:24:17<14:55:49, 11.90s/it]
                                                          
{'loss': 1.9621, 'grad_norm': 2.569431781768799, 'learning_rate': 2.3059127933807954e-05, 'epoch': 0.05}

 55%|█████▍    | 5485/10000 [14:24:17<14:55:49, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8899009823799133, dino_loss: 0.67578125, depth_loss: 0.06497668474912643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8955363631248474, dino_loss: 0.6875, depth_loss: 0.06783415377140045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5486/10000 [14:24:28<14:50:04, 11.83s/it]
                                                          
{'loss': 2.1438, 'grad_norm': 3.0283961296081543, 'learning_rate': 2.3050885643029496e-05, 'epoch': 0.05}

 55%|█████▍    | 5486/10000 [14:24:28<14:50:04, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0205551385879517, dino_loss: 0.69921875, depth_loss: 0.07559894025325775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6581906080245972, dino_loss: 0.671875, depth_loss: 0.05783924087882042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5487/10000 [14:24:39<14:37:00, 11.66s/it]
                                                          
{'loss': 1.7259, 'grad_norm': 3.1129918098449707, 'learning_rate': 2.3042643565403254e-05, 'epoch': 0.05}

 55%|█████▍    | 5487/10000 [14:24:39<14:37:00, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9596095681190491, dino_loss: 0.671875, depth_loss: 0.06240101158618927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6846227645874023, dino_loss: 0.60546875, depth_loss: 0.07570167630910873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5488/10000 [14:24:51<14:34:46, 11.63s/it]
                                                          
{'loss': 1.7874, 'grad_norm': 2.7981653213500977, 'learning_rate': 2.3034401701830565e-05, 'epoch': 0.05}

 55%|█████▍    | 5488/10000 [14:24:51<14:34:46, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8653026223182678, dino_loss: 0.7265625, depth_loss: 0.062370095402002335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8377059698104858, dino_loss: 0.66015625, depth_loss: 0.06040264666080475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5489/10000 [14:25:03<14:32:41, 11.61s/it]
                                                          
{'loss': 2.089, 'grad_norm': 3.7079830169677734, 'learning_rate': 2.3026160053212745e-05, 'epoch': 0.05}

 55%|█████▍    | 5489/10000 [14:25:03<14:32:41, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7902340292930603, dino_loss: 0.671875, depth_loss: 0.0472133532166481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7360014915466309, dino_loss: 0.625, depth_loss: 0.047589726746082306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5490/10000 [14:25:15<14:49:05, 11.83s/it]
                                                          
{'loss': 2.3287, 'grad_norm': 2.388298988342285, 'learning_rate': 2.30179186204511e-05, 'epoch': 0.05}

 55%|█████▍    | 5490/10000 [14:25:15<14:49:05, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9306998252868652, dino_loss: 0.7109375, depth_loss: 0.06447526812553406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8225240707397461, dino_loss: 0.78125, depth_loss: 0.07665842771530151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5491/10000 [14:25:26<14:38:05, 11.68s/it]
                                                          
{'loss': 2.3077, 'grad_norm': 2.5397965908050537, 'learning_rate': 2.30096774044469e-05, 'epoch': 0.05}

 55%|█████▍    | 5491/10000 [14:25:26<14:38:05, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.034035086631775, dino_loss: 0.65625, depth_loss: 0.06874565035104752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8176658749580383, dino_loss: 0.65234375, depth_loss: 0.05505602806806564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5492/10000 [14:25:37<14:25:51, 11.52s/it]
                                                          
{'loss': 2.0484, 'grad_norm': 3.3680670261383057, 'learning_rate': 2.3001436406101383e-05, 'epoch': 0.05}

 55%|█████▍    | 5492/10000 [14:25:37<14:25:51, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7622430324554443, dino_loss: 0.71875, depth_loss: 0.07882751524448395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.987948477268219, dino_loss: 0.6953125, depth_loss: 0.07604510337114334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5493/10000 [14:25:50<14:39:08, 11.70s/it]
                                                          
{'loss': 2.4967, 'grad_norm': 2.922257423400879, 'learning_rate': 2.2993195626315773e-05, 'epoch': 0.05}

 55%|█████▍    | 5493/10000 [14:25:50<14:39:08, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8578744530677795, dino_loss: 0.67578125, depth_loss: 0.06482993066310883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9658685326576233, dino_loss: 0.73046875, depth_loss: 0.06573909521102905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5494/10000 [14:26:01<14:35:13, 11.65s/it]
                                                          
{'loss': 2.5361, 'grad_norm': 4.1911845207214355, 'learning_rate': 2.2984955065991278e-05, 'epoch': 0.05}

 55%|█████▍    | 5494/10000 [14:26:01<14:35:13, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7608387470245361, dino_loss: 0.71484375, depth_loss: 0.06603951007127762, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8727028369903564, dino_loss: 0.70703125, depth_loss: 0.06858347356319427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5495/10000 [14:26:13<14:31:21, 11.61s/it]
                                                          
{'loss': 1.8836, 'grad_norm': 5.345545768737793, 'learning_rate': 2.2976714726029068e-05, 'epoch': 0.05}

 55%|█████▍    | 5495/10000 [14:26:13<14:31:21, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9604630470275879, dino_loss: 0.69921875, depth_loss: 0.05613439530134201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9107170104980469, dino_loss: 0.671875, depth_loss: 0.06233416497707367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5496/10000 [14:26:24<14:23:22, 11.50s/it]
                                                          
{'loss': 1.8931, 'grad_norm': 3.6806275844573975, 'learning_rate': 2.2968474607330278e-05, 'epoch': 0.05}

 55%|█████▍    | 5496/10000 [14:26:24<14:23:22, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8303314447402954, dino_loss: 0.72265625, depth_loss: 0.0686519593000412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9458895325660706, dino_loss: 0.6875, depth_loss: 0.06356983631849289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5497/10000 [14:26:35<14:22:38, 11.49s/it]
                                                          
{'loss': 2.3155, 'grad_norm': 3.3941030502319336, 'learning_rate': 2.2960234710796063e-05, 'epoch': 0.05}

 55%|█████▍    | 5497/10000 [14:26:35<14:22:38, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8055859208106995, dino_loss: 0.7109375, depth_loss: 0.08758486807346344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.9229682683944702, dino_loss: 0.6875, depth_loss: 0.055923156440258026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5498/10000 [14:26:47<14:22:48, 11.50s/it]
                                                          
{'loss': 2.0306, 'grad_norm': 2.0948293209075928, 'learning_rate': 2.2951995037327515e-05, 'epoch': 0.05}

 55%|█████▍    | 5498/10000 [14:26:47<14:22:48, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8526113629341125, dino_loss: 0.66796875, depth_loss: 0.06833203136920929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7603814601898193, dino_loss: 0.6796875, depth_loss: 0.05945214629173279, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▍    | 5499/10000 [14:26:58<14:18:19, 11.44s/it]
                                                          
{'loss': 1.9052, 'grad_norm': 4.0290374755859375, 'learning_rate': 2.294375558782571e-05, 'epoch': 0.05}

 55%|█████▍    | 5499/10000 [14:26:58<14:18:19, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9625656008720398, dino_loss: 0.70703125, depth_loss: 0.0695391371846199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7538383603096008, dino_loss: 0.7109375, depth_loss: 0.07086590677499771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5500/10000 [14:27:09<14:10:19, 11.34s/it]
                                                          
{'loss': 1.7656, 'grad_norm': 6.398050308227539, 'learning_rate': 2.2935516363191693e-05, 'epoch': 0.05}

 55%|█████▌    | 5500/10000 [14:27:09<14:10:19, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.834898829460144, dino_loss: 0.67578125, depth_loss: 0.05574658513069153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8927335739135742, dino_loss: 0.703125, depth_loss: 0.06114545091986656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5501/10000 [14:27:21<14:16:35, 11.42s/it]
                                                          
{'loss': 2.3323, 'grad_norm': 3.170560121536255, 'learning_rate': 2.2927277364326513e-05, 'epoch': 0.05}

 55%|█████▌    | 5501/10000 [14:27:21<14:16:35, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9849851131439209, dino_loss: 0.66796875, depth_loss: 0.047638826072216034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8216643333435059, dino_loss: 0.74609375, depth_loss: 0.08235640823841095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5502/10000 [14:27:33<14:32:41, 11.64s/it]
                                                          
{'loss': 2.2305, 'grad_norm': 2.547053337097168, 'learning_rate': 2.2919038592131158e-05, 'epoch': 0.05}

 55%|█████▌    | 5502/10000 [14:27:33<14:32:41, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6568063497543335, dino_loss: 0.71875, depth_loss: 0.06708712875843048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8747488856315613, dino_loss: 0.6953125, depth_loss: 0.061468787491321564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5503/10000 [14:27:44<14:15:31, 11.41s/it]
                                                          
{'loss': 1.846, 'grad_norm': 2.8269097805023193, 'learning_rate': 2.2910800047506616e-05, 'epoch': 0.05}

 55%|█████▌    | 5503/10000 [14:27:44<14:15:31, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.84808748960495, dino_loss: 0.734375, depth_loss: 0.0670388862490654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9129367470741272, dino_loss: 0.70703125, depth_loss: 0.04754137247800827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5504/10000 [14:27:56<14:25:24, 11.55s/it]
                                                          
{'loss': 2.5262, 'grad_norm': 2.262402057647705, 'learning_rate': 2.2902561731353837e-05, 'epoch': 0.05}

 55%|█████▌    | 5504/10000 [14:27:56<14:25:24, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8641641139984131, dino_loss: 0.71484375, depth_loss: 0.05528061091899872, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7102396488189697, dino_loss: 0.62109375, depth_loss: 0.058714963495731354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5505/10000 [14:28:07<14:25:53, 11.56s/it]
                                                          
{'loss': 2.0285, 'grad_norm': 2.268751859664917, 'learning_rate': 2.2894323644573758e-05, 'epoch': 0.05}

 55%|█████▌    | 5505/10000 [14:28:07<14:25:53, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6344549655914307, dino_loss: 0.6640625, depth_loss: 0.05503847450017929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2316956520080566, dino_loss: 0.70703125, depth_loss: 0.05859611928462982, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5506/10000 [14:28:20<14:42:01, 11.78s/it]
                                                          
{'loss': 2.4349, 'grad_norm': 4.315337181091309, 'learning_rate': 2.288608578806728e-05, 'epoch': 0.05}

 55%|█████▌    | 5506/10000 [14:28:20<14:42:01, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7698615789413452, dino_loss: 0.62890625, depth_loss: 0.05635804682970047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8884462714195251, dino_loss: 0.71484375, depth_loss: 0.07229544222354889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5507/10000 [14:28:31<14:39:03, 11.74s/it]
                                                          
{'loss': 2.2132, 'grad_norm': 2.712533473968506, 'learning_rate': 2.287784816273528e-05, 'epoch': 0.05}

 55%|█████▌    | 5507/10000 [14:28:31<14:39:03, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7634305953979492, dino_loss: 0.69140625, depth_loss: 0.05234839394688606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8778550624847412, dino_loss: 0.59765625, depth_loss: 0.03337946534156799, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5508/10000 [14:28:43<14:45:39, 11.83s/it]
                                                          
{'loss': 1.7513, 'grad_norm': 5.998863697052002, 'learning_rate': 2.2869610769478607e-05, 'epoch': 0.05}

 55%|█████▌    | 5508/10000 [14:28:43<14:45:39, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8919072151184082, dino_loss: 0.7421875, depth_loss: 0.05623209476470947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7900441884994507, dino_loss: 0.6796875, depth_loss: 0.06998182833194733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5509/10000 [14:28:55<14:42:59, 11.80s/it]
                                                          
{'loss': 2.2457, 'grad_norm': 3.932112216949463, 'learning_rate': 2.2861373609198107e-05, 'epoch': 0.05}

 55%|█████▌    | 5509/10000 [14:28:55<14:42:59, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.877032995223999, dino_loss: 0.6875, depth_loss: 0.052624642848968506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7585619688034058, dino_loss: 0.6953125, depth_loss: 0.07850766181945801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5510/10000 [14:29:06<14:26:25, 11.58s/it]
                                                          
{'loss': 1.5878, 'grad_norm': 3.044017791748047, 'learning_rate': 2.2853136682794575e-05, 'epoch': 0.05}

 55%|█████▌    | 5510/10000 [14:29:06<14:26:25, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9412887096405029, dino_loss: 0.7265625, depth_loss: 0.05350036546587944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7685536742210388, dino_loss: 0.6953125, depth_loss: 0.06966748833656311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5511/10000 [14:29:17<14:13:50, 11.41s/it]
                                                          
{'loss': 1.9677, 'grad_norm': 2.1376829147338867, 'learning_rate': 2.2844899991168786e-05, 'epoch': 0.05}

 55%|█████▌    | 5511/10000 [14:29:17<14:13:50, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9209950566291809, dino_loss: 0.71875, depth_loss: 0.07055195420980453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6699458360671997, dino_loss: 0.6796875, depth_loss: 0.0630500316619873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5512/10000 [14:29:29<14:20:34, 11.50s/it]
                                                          
{'loss': 1.746, 'grad_norm': 2.549593210220337, 'learning_rate': 2.283666353522149e-05, 'epoch': 0.05}

 55%|█████▌    | 5512/10000 [14:29:29<14:20:34, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9548090696334839, dino_loss: 0.64453125, depth_loss: 0.06217663735151291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7202416062355042, dino_loss: 0.7109375, depth_loss: 0.08709482848644257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5513/10000 [14:29:40<14:17:12, 11.46s/it]
                                                          
{'loss': 2.0681, 'grad_norm': 5.035614967346191, 'learning_rate': 2.2828427315853423e-05, 'epoch': 0.05}

 55%|█████▌    | 5513/10000 [14:29:40<14:17:12, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8469386100769043, dino_loss: 0.6796875, depth_loss: 0.06387624144554138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9452730417251587, dino_loss: 0.703125, depth_loss: 0.0620865635573864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5514/10000 [14:29:52<14:33:15, 11.68s/it]
                                                          
{'loss': 2.2554, 'grad_norm': 3.6032819747924805, 'learning_rate': 2.2820191333965278e-05, 'epoch': 0.05}

 55%|█████▌    | 5514/10000 [14:29:52<14:33:15, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8773652911186218, dino_loss: 0.67578125, depth_loss: 0.06463697552680969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9619468450546265, dino_loss: 0.765625, depth_loss: 0.06403984129428864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5515/10000 [14:30:04<14:29:29, 11.63s/it]
                                                          
{'loss': 2.1139, 'grad_norm': 2.4953274726867676, 'learning_rate': 2.281195559045772e-05, 'epoch': 0.05}

 55%|█████▌    | 5515/10000 [14:30:04<14:29:29, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6207104921340942, dino_loss: 0.6171875, depth_loss: 0.048599183559417725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0198755264282227, dino_loss: 0.6796875, depth_loss: 0.0469045415520668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5516/10000 [14:30:16<14:32:05, 11.67s/it]
                                                          
{'loss': 2.6198, 'grad_norm': 2.676811695098877, 'learning_rate': 2.280372008623142e-05, 'epoch': 0.05}

 55%|█████▌    | 5516/10000 [14:30:16<14:32:05, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9338749647140503, dino_loss: 0.66796875, depth_loss: 0.06779991090297699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9102247953414917, dino_loss: 0.70703125, depth_loss: 0.0719040110707283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5517/10000 [14:30:27<14:30:41, 11.65s/it]
                                                          
{'loss': 2.0104, 'grad_norm': 3.082592248916626, 'learning_rate': 2.2795484822186993e-05, 'epoch': 0.05}

 55%|█████▌    | 5517/10000 [14:30:27<14:30:41, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8202950954437256, dino_loss: 0.6953125, depth_loss: 0.06013952195644379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9245299696922302, dino_loss: 0.69140625, depth_loss: 0.045335378497838974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5518/10000 [14:30:39<14:32:51, 11.68s/it]
                                                          
{'loss': 2.3498, 'grad_norm': 2.6314191818237305, 'learning_rate': 2.2787249799225024e-05, 'epoch': 0.05}

 55%|█████▌    | 5518/10000 [14:30:39<14:32:51, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8545464277267456, dino_loss: 0.72265625, depth_loss: 0.05360353738069534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6910269260406494, dino_loss: 0.62890625, depth_loss: 0.05568689852952957, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5519/10000 [14:30:52<14:53:10, 11.96s/it]
                                                          
{'loss': 2.2268, 'grad_norm': 2.5036075115203857, 'learning_rate': 2.2779015018246097e-05, 'epoch': 0.05}

 55%|█████▌    | 5519/10000 [14:30:52<14:53:10, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8258845210075378, dino_loss: 0.66796875, depth_loss: 0.05328769236803055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9483746290206909, dino_loss: 0.69921875, depth_loss: 0.05252331122756004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5520/10000 [14:31:04<15:04:57, 12.12s/it]
                                                          
{'loss': 2.2942, 'grad_norm': 3.3655269145965576, 'learning_rate': 2.2770780480150744e-05, 'epoch': 0.05}

 55%|█████▌    | 5520/10000 [14:31:04<15:04:57, 12.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0188102722167969, dino_loss: 0.72265625, depth_loss: 0.05934085324406624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0130703449249268, dino_loss: 0.78515625, depth_loss: 0.07511371374130249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5521/10000 [14:31:15<14:36:56, 11.75s/it]
                                                          
{'loss': 2.3337, 'grad_norm': 2.5793747901916504, 'learning_rate': 2.276254618583948e-05, 'epoch': 0.05}

 55%|█████▌    | 5521/10000 [14:31:15<14:36:56, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7816343903541565, dino_loss: 0.6484375, depth_loss: 0.0614788681268692, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7735123634338379, dino_loss: 0.64453125, depth_loss: 0.05847032368183136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5522/10000 [14:31:27<14:48:45, 11.91s/it]
                                                          
{'loss': 2.0209, 'grad_norm': 3.793659210205078, 'learning_rate': 2.2754312136212804e-05, 'epoch': 0.05}

 55%|█████▌    | 5522/10000 [14:31:27<14:48:45, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7512373924255371, dino_loss: 0.69140625, depth_loss: 0.05020273104310036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.114859700202942, dino_loss: 0.65625, depth_loss: 0.056605421006679535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5523/10000 [14:31:39<14:33:39, 11.71s/it]
                                                          
{'loss': 1.962, 'grad_norm': 5.761969566345215, 'learning_rate': 2.2746078332171182e-05, 'epoch': 0.05}

 55%|█████▌    | 5523/10000 [14:31:39<14:33:39, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7986186146736145, dino_loss: 0.6875, depth_loss: 0.05536982789635658, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.905628502368927, dino_loss: 0.66015625, depth_loss: 0.046519845724105835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5524/10000 [14:31:50<14:37:59, 11.77s/it]
                                                          
{'loss': 2.1868, 'grad_norm': 3.0050179958343506, 'learning_rate': 2.2737844774615044e-05, 'epoch': 0.05}

 55%|█████▌    | 5524/10000 [14:31:50<14:37:59, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8682814836502075, dino_loss: 0.68359375, depth_loss: 0.05862755328416824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8026652932167053, dino_loss: 0.73046875, depth_loss: 0.05621163174510002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5525/10000 [14:32:02<14:43:17, 11.84s/it]
                                                          
{'loss': 2.3459, 'grad_norm': 4.234293460845947, 'learning_rate': 2.2729611464444794e-05, 'epoch': 0.05}

 55%|█████▌    | 5525/10000 [14:32:02<14:43:17, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.6669042110443115, dino_loss: 0.72265625, depth_loss: 0.06442541629076004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6737158894538879, dino_loss: 0.64453125, depth_loss: 0.07276509702205658, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5526/10000 [14:32:14<14:39:32, 11.80s/it]
                                                          
{'loss': 2.0192, 'grad_norm': 3.5732157230377197, 'learning_rate': 2.2721378402560826e-05, 'epoch': 0.05}

 55%|█████▌    | 5526/10000 [14:32:14<14:39:32, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7444090843200684, dino_loss: 0.671875, depth_loss: 0.048002153635025024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.812819242477417, dino_loss: 0.72265625, depth_loss: 0.08187712728977203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5527/10000 [14:32:26<14:39:58, 11.80s/it]
                                                          
{'loss': 2.262, 'grad_norm': 2.2368719577789307, 'learning_rate': 2.271314558986349e-05, 'epoch': 0.05}

 55%|█████▌    | 5527/10000 [14:32:26<14:39:58, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7964197397232056, dino_loss: 0.69921875, depth_loss: 0.055806394666433334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9738397598266602, dino_loss: 0.69140625, depth_loss: 0.06656032055616379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5528/10000 [14:32:38<14:46:15, 11.89s/it]
                                                          
{'loss': 2.3465, 'grad_norm': 4.238489627838135, 'learning_rate': 2.2704913027253115e-05, 'epoch': 0.05}

 55%|█████▌    | 5528/10000 [14:32:38<14:46:15, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7268598675727844, dino_loss: 0.6796875, depth_loss: 0.058807048946619034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8312729001045227, dino_loss: 0.69140625, depth_loss: 0.0757705569267273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5529/10000 [14:32:50<14:43:20, 11.85s/it]
                                                          
{'loss': 2.062, 'grad_norm': 3.089731454849243, 'learning_rate': 2.2696680715629996e-05, 'epoch': 0.05}

 55%|█████▌    | 5529/10000 [14:32:50<14:43:20, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9667844772338867, dino_loss: 0.65234375, depth_loss: 0.0559544563293457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8402431011199951, dino_loss: 0.71875, depth_loss: 0.05705008655786514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5530/10000 [14:33:02<14:46:01, 11.89s/it]
                                                          
{'loss': 2.0901, 'grad_norm': 4.611295223236084, 'learning_rate': 2.2688448655894415e-05, 'epoch': 0.05}

 55%|█████▌    | 5530/10000 [14:33:02<14:46:01, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8839834928512573, dino_loss: 0.68359375, depth_loss: 0.05714103952050209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.856893002986908, dino_loss: 0.66015625, depth_loss: 0.06626996397972107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5531/10000 [14:33:13<14:38:30, 11.79s/it]
                                                          
{'loss': 2.2348, 'grad_norm': 2.7298150062561035, 'learning_rate': 2.2680216848946615e-05, 'epoch': 0.05}

 55%|█████▌    | 5531/10000 [14:33:13<14:38:30, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7414396405220032, dino_loss: 0.65234375, depth_loss: 0.059304408729076385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7832616567611694, dino_loss: 0.68359375, depth_loss: 0.059503648430109024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5532/10000 [14:33:25<14:28:10, 11.66s/it]
                                                          
{'loss': 1.841, 'grad_norm': 3.918917417526245, 'learning_rate': 2.2671985295686813e-05, 'epoch': 0.05}

 55%|█████▌    | 5532/10000 [14:33:25<14:28:10, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.711473822593689, dino_loss: 0.71875, depth_loss: 0.0707341805100441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9436047077178955, dino_loss: 0.66796875, depth_loss: 0.045957040041685104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5533/10000 [14:33:36<14:23:38, 11.60s/it]
                                                          
{'loss': 1.5877, 'grad_norm': 4.220156669616699, 'learning_rate': 2.2663753997015197e-05, 'epoch': 0.05}

 55%|█████▌    | 5533/10000 [14:33:36<14:23:38, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0293058156967163, dino_loss: 0.74609375, depth_loss: 0.05838627740740776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.7821096181869507, dino_loss: 0.66015625, depth_loss: 0.062301769852638245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5534/10000 [14:33:47<14:15:40, 11.50s/it]
                                                          
{'loss': 2.0627, 'grad_norm': 2.2786037921905518, 'learning_rate': 2.265552295383192e-05, 'epoch': 0.05}

 55%|█████▌    | 5534/10000 [14:33:47<14:15:40, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8418099284172058, dino_loss: 0.65625, depth_loss: 0.0716833546757698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7641785740852356, dino_loss: 0.6875, depth_loss: 0.061793748289346695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5535/10000 [14:33:59<14:18:24, 11.54s/it]
                                                          
{'loss': 1.927, 'grad_norm': 3.4631121158599854, 'learning_rate': 2.2647292167037144e-05, 'epoch': 0.05}

 55%|█████▌    | 5535/10000 [14:33:59<14:18:24, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7656441926956177, dino_loss: 0.609375, depth_loss: 0.06004968285560608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8811008930206299, dino_loss: 0.6484375, depth_loss: 0.043134305626153946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5536/10000 [14:34:11<14:34:51, 11.76s/it]
                                                          
{'loss': 2.1659, 'grad_norm': 5.837767601013184, 'learning_rate': 2.2639061637530954e-05, 'epoch': 0.05}

 55%|█████▌    | 5536/10000 [14:34:11<14:34:51, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8180999755859375, dino_loss: 0.7109375, depth_loss: 0.05311817303299904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8055187463760376, dino_loss: 0.6953125, depth_loss: 0.05717121809720993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5537/10000 [14:34:23<14:29:33, 11.69s/it]
                                                          
{'loss': 2.0431, 'grad_norm': 3.6021344661712646, 'learning_rate': 2.2630831366213433e-05, 'epoch': 0.05}

 55%|█████▌    | 5537/10000 [14:34:23<14:29:33, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.994292140007019, dino_loss: 0.6796875, depth_loss: 0.05743241310119629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7199254631996155, dino_loss: 0.60546875, depth_loss: 0.046203117817640305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5538/10000 [14:34:35<14:33:24, 11.74s/it]
                                                          
{'loss': 2.5066, 'grad_norm': 3.34403395652771, 'learning_rate': 2.2622601353984635e-05, 'epoch': 0.05}

 55%|█████▌    | 5538/10000 [14:34:35<14:33:24, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8083901405334473, dino_loss: 0.70703125, depth_loss: 0.0853223204612732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.080079197883606, dino_loss: 0.7265625, depth_loss: 0.04680153355002403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5539/10000 [14:34:46<14:27:58, 11.67s/it]
                                                          
{'loss': 2.2969, 'grad_norm': 4.115644454956055, 'learning_rate': 2.261437160174458e-05, 'epoch': 0.05}

 55%|█████▌    | 5539/10000 [14:34:46<14:27:58, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7253945469856262, dino_loss: 0.64453125, depth_loss: 0.052540503442287445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8656101226806641, dino_loss: 0.66796875, depth_loss: 0.07487151026725769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5540/10000 [14:34:58<14:20:04, 11.57s/it]
                                                          
{'loss': 2.2959, 'grad_norm': 3.870316743850708, 'learning_rate': 2.2606142110393247e-05, 'epoch': 0.05}

 55%|█████▌    | 5540/10000 [14:34:58<14:20:04, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8746975660324097, dino_loss: 0.75, depth_loss: 0.060799602419137955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8891928195953369, dino_loss: 0.6484375, depth_loss: 0.06725355237722397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5541/10000 [14:35:09<14:13:49, 11.49s/it]
                                                          
{'loss': 2.0038, 'grad_norm': 3.7166330814361572, 'learning_rate': 2.2597912880830624e-05, 'epoch': 0.05}

 55%|█████▌    | 5541/10000 [14:35:09<14:13:49, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8596373200416565, dino_loss: 0.6953125, depth_loss: 0.07267071306705475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9444906711578369, dino_loss: 0.73828125, depth_loss: 0.07499627023935318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5542/10000 [14:35:20<14:07:56, 11.41s/it]
                                                          
{'loss': 2.2124, 'grad_norm': 2.126807689666748, 'learning_rate': 2.2589683913956636e-05, 'epoch': 0.05}

 55%|█████▌    | 5542/10000 [14:35:20<14:07:56, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7531063556671143, dino_loss: 0.64453125, depth_loss: 0.05431833118200302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.94582200050354, dino_loss: 0.671875, depth_loss: 0.05729209631681442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5543/10000 [14:35:32<14:19:21, 11.57s/it]
                                                          
{'loss': 1.7484, 'grad_norm': 4.133523941040039, 'learning_rate': 2.2581455210671193e-05, 'epoch': 0.05}

 55%|█████▌    | 5543/10000 [14:35:32<14:19:21, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.06412935256958, dino_loss: 0.68359375, depth_loss: 0.06645272672176361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8645060062408447, dino_loss: 0.67578125, depth_loss: 0.05985669046640396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5544/10000 [14:35:43<14:08:02, 11.42s/it]
                                                          
{'loss': 1.9919, 'grad_norm': 3.765249729156494, 'learning_rate': 2.2573226771874173e-05, 'epoch': 0.05}

 55%|█████▌    | 5544/10000 [14:35:43<14:08:02, 11.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7022578120231628, dino_loss: 0.67578125, depth_loss: 0.05830642953515053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9947571754455566, dino_loss: 0.69140625, depth_loss: 0.05892636999487877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5545/10000 [14:35:55<14:14:04, 11.50s/it]
                                                          
{'loss': 2.1934, 'grad_norm': 3.5767264366149902, 'learning_rate': 2.2564998598465423e-05, 'epoch': 0.05}

 55%|█████▌    | 5545/10000 [14:35:55<14:14:04, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8581507802009583, dino_loss: 0.70703125, depth_loss: 0.06606107205152512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9450097680091858, dino_loss: 0.6796875, depth_loss: 0.06158863380551338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5546/10000 [14:36:06<14:09:40, 11.45s/it]
                                                          
{'loss': 2.148, 'grad_norm': 4.582919597625732, 'learning_rate': 2.255677069134476e-05, 'epoch': 0.05}

 55%|█████▌    | 5546/10000 [14:36:06<14:09:40, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7283506393432617, dino_loss: 0.6640625, depth_loss: 0.0680270865559578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.065948724746704, dino_loss: 0.69140625, depth_loss: 0.06695131957530975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5547/10000 [14:36:18<14:20:44, 11.60s/it]
                                                          
{'loss': 2.5468, 'grad_norm': 2.7810304164886475, 'learning_rate': 2.254854305141198e-05, 'epoch': 0.05}

 55%|█████▌    | 5547/10000 [14:36:18<14:20:44, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9388047456741333, dino_loss: 0.66015625, depth_loss: 0.07550713419914246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.868226170539856, dino_loss: 0.66015625, depth_loss: 0.05774349719285965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5548/10000 [14:36:29<14:14:47, 11.52s/it]
                                                          
{'loss': 2.0853, 'grad_norm': 2.9925599098205566, 'learning_rate': 2.2540315679566852e-05, 'epoch': 0.05}

 55%|█████▌    | 5548/10000 [14:36:29<14:14:47, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8685216903686523, dino_loss: 0.70703125, depth_loss: 0.07548975944519043, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.826120913028717, dino_loss: 0.7265625, depth_loss: 0.05653998628258705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 55%|█████▌    | 5549/10000 [14:36:41<14:10:36, 11.47s/it]
                                                          
{'loss': 2.07, 'grad_norm': 2.7754697799682617, 'learning_rate': 2.2532088576709105e-05, 'epoch': 0.05}

 55%|█████▌    | 5549/10000 [14:36:41<14:10:36, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7500187754631042, dino_loss: 0.6484375, depth_loss: 0.052861981093883514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8545079231262207, dino_loss: 0.671875, depth_loss: 0.055237893015146255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5550/10000 [14:36:52<14:12:04, 11.49s/it]
                                                          
{'loss': 1.7054, 'grad_norm': 4.991252422332764, 'learning_rate': 2.2523861743738434e-05, 'epoch': 0.05}

 56%|█████▌    | 5550/10000 [14:36:52<14:12:04, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8052769899368286, dino_loss: 0.65625, depth_loss: 0.0508657842874527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8397281765937805, dino_loss: 0.6875, depth_loss: 0.07073038816452026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5551/10000 [14:37:04<14:24:33, 11.66s/it]
                                                          
{'loss': 2.2937, 'grad_norm': 2.546196222305298, 'learning_rate': 2.2515635181554527e-05, 'epoch': 0.05}

 56%|█████▌    | 5551/10000 [14:37:04<14:24:33, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8747516870498657, dino_loss: 0.671875, depth_loss: 0.04713940992951393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8777147531509399, dino_loss: 0.68359375, depth_loss: 0.06449276953935623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5552/10000 [14:37:16<14:24:02, 11.66s/it]
                                                          
{'loss': 2.1656, 'grad_norm': 2.528120994567871, 'learning_rate': 2.250740889105702e-05, 'epoch': 0.05}

 56%|█████▌    | 5552/10000 [14:37:16<14:24:02, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9447831511497498, dino_loss: 0.6640625, depth_loss: 0.06285697221755981, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7109816670417786, dino_loss: 0.6796875, depth_loss: 0.06845205277204514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5553/10000 [14:37:28<14:26:24, 11.69s/it]
                                                          
{'loss': 2.0833, 'grad_norm': 2.9049201011657715, 'learning_rate': 2.2499182873145523e-05, 'epoch': 0.05}

 56%|█████▌    | 5553/10000 [14:37:28<14:26:24, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9581848382949829, dino_loss: 0.7109375, depth_loss: 0.0693848505616188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8070101737976074, dino_loss: 0.6796875, depth_loss: 0.04458295926451683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5554/10000 [14:37:40<14:29:44, 11.74s/it]
                                                          
{'loss': 2.463, 'grad_norm': 2.587519407272339, 'learning_rate': 2.2490957128719624e-05, 'epoch': 0.05}

 56%|█████▌    | 5554/10000 [14:37:40<14:29:44, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.70475834608078, dino_loss: 0.6640625, depth_loss: 0.052306585013866425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8690133094787598, dino_loss: 0.61328125, depth_loss: 0.0653914362192154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5555/10000 [14:37:51<14:30:00, 11.74s/it]
                                                          
{'loss': 1.892, 'grad_norm': 2.3620946407318115, 'learning_rate': 2.248273165867889e-05, 'epoch': 0.05}

 56%|█████▌    | 5555/10000 [14:37:51<14:30:00, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.804986834526062, dino_loss: 0.69921875, depth_loss: 0.054189905524253845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7358086705207825, dino_loss: 0.6484375, depth_loss: 0.0592406764626503, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5556/10000 [14:38:03<14:35:31, 11.82s/it]
                                                          
{'loss': 2.2772, 'grad_norm': 2.8076703548431396, 'learning_rate': 2.2474506463922838e-05, 'epoch': 0.05}

 56%|█████▌    | 5556/10000 [14:38:03<14:35:31, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.974358320236206, dino_loss: 0.74609375, depth_loss: 0.0765497237443924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8882806897163391, dino_loss: 0.69921875, depth_loss: 0.04763488098978996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5557/10000 [14:38:15<14:21:41, 11.64s/it]
                                                          
{'loss': 2.2061, 'grad_norm': 2.712453603744507, 'learning_rate': 2.2466281545350962e-05, 'epoch': 0.05}

 56%|█████▌    | 5557/10000 [14:38:15<14:21:41, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.872514009475708, dino_loss: 0.6875, depth_loss: 0.06600335240364075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7587341070175171, dino_loss: 0.65625, depth_loss: 0.05775392800569534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5558/10000 [14:38:26<14:24:59, 11.68s/it]
                                                          
{'loss': 2.3598, 'grad_norm': 2.88801908493042, 'learning_rate': 2.2458056903862726e-05, 'epoch': 0.05}

 56%|█████▌    | 5558/10000 [14:38:26<14:24:59, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9949380159378052, dino_loss: 0.6953125, depth_loss: 0.08408486098051071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.918238639831543, dino_loss: 0.6875, depth_loss: 0.07052622735500336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5559/10000 [14:38:38<14:12:19, 11.52s/it]
                                                          
{'loss': 2.1002, 'grad_norm': 3.027956962585449, 'learning_rate': 2.2449832540357554e-05, 'epoch': 0.05}

 56%|█████▌    | 5559/10000 [14:38:38<14:12:19, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8957775235176086, dino_loss: 0.671875, depth_loss: 0.0626804456114769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7672317028045654, dino_loss: 0.70703125, depth_loss: 0.06047254055738449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5560/10000 [14:38:49<14:10:15, 11.49s/it]
                                                          
{'loss': 2.0315, 'grad_norm': 2.859497308731079, 'learning_rate': 2.2441608455734873e-05, 'epoch': 0.05}

 56%|█████▌    | 5560/10000 [14:38:49<14:10:15, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8101629614830017, dino_loss: 0.6796875, depth_loss: 0.06368683278560638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8143272399902344, dino_loss: 0.73828125, depth_loss: 0.06750672310590744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5561/10000 [14:39:01<14:29:12, 11.75s/it]
                                                          
{'loss': 2.3773, 'grad_norm': 3.2785441875457764, 'learning_rate': 2.2433384650894046e-05, 'epoch': 0.05}

 56%|█████▌    | 5561/10000 [14:39:01<14:29:12, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0037437677383423, dino_loss: 0.6953125, depth_loss: 0.05266121029853821, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6956046223640442, dino_loss: 0.65625, depth_loss: 0.06968672573566437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5562/10000 [14:39:13<14:35:27, 11.84s/it]
                                                          
{'loss': 1.9872, 'grad_norm': 2.2567660808563232, 'learning_rate': 2.242516112673441e-05, 'epoch': 0.05}

 56%|█████▌    | 5562/10000 [14:39:13<14:35:27, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7887107729911804, dino_loss: 0.72265625, depth_loss: 0.060532618314027786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8139020800590515, dino_loss: 0.6328125, depth_loss: 0.054198216646909714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5563/10000 [14:39:25<14:33:35, 11.81s/it]
                                                          
{'loss': 1.8642, 'grad_norm': 5.4915032386779785, 'learning_rate': 2.2416937884155288e-05, 'epoch': 0.05}

 56%|█████▌    | 5563/10000 [14:39:25<14:33:35, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9187248945236206, dino_loss: 0.703125, depth_loss: 0.06794425845146179, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 1
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7183884978294373, dino_loss: 0.62109375, depth_loss: 0.051749832928180695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5564/10000 [14:39:37<14:23:42, 11.68s/it]
                                                          
{'loss': 2.0672, 'grad_norm': 3.1124496459960938, 'learning_rate': 2.240871492405595e-05, 'epoch': 0.05}

 56%|█████▌    | 5564/10000 [14:39:37<14:23:42, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9590150117874146, dino_loss: 0.71875, depth_loss: 0.07005732506513596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9377706050872803, dino_loss: 0.75, depth_loss: 0.05908632278442383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5565/10000 [14:39:48<14:27:03, 11.73s/it]
                                                          
{'loss': 2.404, 'grad_norm': 3.373016357421875, 'learning_rate': 2.240049224733566e-05, 'epoch': 0.05}

 56%|█████▌    | 5565/10000 [14:39:48<14:27:03, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0509086847305298, dino_loss: 0.6953125, depth_loss: 0.06199851632118225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7725235223770142, dino_loss: 0.640625, depth_loss: 0.068610280752182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5566/10000 [14:40:00<14:22:59, 11.68s/it]
                                                          
{'loss': 2.1335, 'grad_norm': 3.791712999343872, 'learning_rate': 2.239226985489361e-05, 'epoch': 0.05}

 56%|█████▌    | 5566/10000 [14:40:00<14:22:59, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9302577972412109, dino_loss: 0.68359375, depth_loss: 0.05798119306564331, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9713964462280273, dino_loss: 0.6953125, depth_loss: 0.06483854353427887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5567/10000 [14:40:11<14:19:54, 11.64s/it]
                                                          
{'loss': 1.9454, 'grad_norm': 4.194141387939453, 'learning_rate': 2.2384047747629023e-05, 'epoch': 0.05}

 56%|█████▌    | 5567/10000 [14:40:11<14:19:54, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0706372261047363, dino_loss: 0.63671875, depth_loss: 0.04302104562520981, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7477940917015076, dino_loss: 0.66015625, depth_loss: 0.061375416815280914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5568/10000 [14:40:23<14:13:10, 11.55s/it]
                                                          
{'loss': 1.6246, 'grad_norm': 8.266250610351562, 'learning_rate': 2.237582592644104e-05, 'epoch': 0.05}

 56%|█████▌    | 5568/10000 [14:40:23<14:13:10, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0012977123260498, dino_loss: 0.69921875, depth_loss: 0.059603139758110046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8884438276290894, dino_loss: 0.69140625, depth_loss: 0.05810701847076416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5569/10000 [14:40:34<14:02:53, 11.41s/it]
                                                          
{'loss': 2.0908, 'grad_norm': 3.7372450828552246, 'learning_rate': 2.2367604392228788e-05, 'epoch': 0.05}

 56%|█████▌    | 5569/10000 [14:40:34<14:02:53, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7187599539756775, dino_loss: 0.65234375, depth_loss: 0.047498155385255814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.865077555179596, dino_loss: 0.7265625, depth_loss: 0.06357550621032715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5570/10000 [14:40:46<14:11:28, 11.53s/it]
                                                          
{'loss': 2.0242, 'grad_norm': 8.77468204498291, 'learning_rate': 2.2359383145891364e-05, 'epoch': 0.05}

 56%|█████▌    | 5570/10000 [14:40:46<14:11:28, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9164911508560181, dino_loss: 0.66015625, depth_loss: 0.06581982970237732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8892019391059875, dino_loss: 0.671875, depth_loss: 0.05335821956396103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5571/10000 [14:40:58<14:38:06, 11.90s/it]
                                                          
{'loss': 2.2881, 'grad_norm': 7.363594055175781, 'learning_rate': 2.235116218832782e-05, 'epoch': 0.05}

 56%|█████▌    | 5571/10000 [14:40:58<14:38:06, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6304035782814026, dino_loss: 0.66015625, depth_loss: 0.052439674735069275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6216119527816772, dino_loss: 0.6484375, depth_loss: 0.06705240905284882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5572/10000 [14:41:10<14:40:11, 11.93s/it]
                                                          
{'loss': 1.5408, 'grad_norm': 2.9095659255981445, 'learning_rate': 2.23429415204372e-05, 'epoch': 0.05}

 56%|█████▌    | 5572/10000 [14:41:10<14:40:11, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9994916915893555, dino_loss: 0.703125, depth_loss: 0.0571136474609375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8562362790107727, dino_loss: 0.6875, depth_loss: 0.08061929792165756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5573/10000 [14:41:22<14:35:44, 11.87s/it]
                                                          
{'loss': 2.4406, 'grad_norm': 3.5462043285369873, 'learning_rate': 2.2334721143118504e-05, 'epoch': 0.05}

 56%|█████▌    | 5573/10000 [14:41:22<14:35:44, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8178572654724121, dino_loss: 0.66015625, depth_loss: 0.0708765834569931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7014929056167603, dino_loss: 0.66015625, depth_loss: 0.05572127550840378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5574/10000 [14:41:34<14:32:04, 11.82s/it]
                                                          
{'loss': 1.7632, 'grad_norm': 3.4640626907348633, 'learning_rate': 2.23265010572707e-05, 'epoch': 0.05}

 56%|█████▌    | 5574/10000 [14:41:34<14:32:04, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9254147410392761, dino_loss: 0.6796875, depth_loss: 0.06061394512653351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7673372030258179, dino_loss: 0.66796875, depth_loss: 0.06272304058074951, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5575/10000 [14:41:46<14:27:52, 11.77s/it]
                                                          
{'loss': 2.1283, 'grad_norm': 4.244899272918701, 'learning_rate': 2.231828126379271e-05, 'epoch': 0.05}

 56%|█████▌    | 5575/10000 [14:41:46<14:27:52, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0126285552978516, dino_loss: 0.6875, depth_loss: 0.06885147094726562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8734350204467773, dino_loss: 0.7109375, depth_loss: 0.06569245457649231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5576/10000 [14:41:57<14:26:49, 11.76s/it]
                                                          
{'loss': 2.4306, 'grad_norm': 2.073763370513916, 'learning_rate': 2.2310061763583456e-05, 'epoch': 0.05}

 56%|█████▌    | 5576/10000 [14:41:57<14:26:49, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8318008184432983, dino_loss: 0.62890625, depth_loss: 0.04771707206964493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9069362282752991, dino_loss: 0.66015625, depth_loss: 0.05346347764134407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5577/10000 [14:42:09<14:21:52, 11.69s/it]
                                                          
{'loss': 1.9337, 'grad_norm': 4.532916069030762, 'learning_rate': 2.2301842557541808e-05, 'epoch': 0.05}

 56%|█████▌    | 5577/10000 [14:42:09<14:21:52, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8384225368499756, dino_loss: 0.66796875, depth_loss: 0.04755811020731926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7445239424705505, dino_loss: 0.66796875, depth_loss: 0.05738149955868721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5578/10000 [14:42:21<14:28:34, 11.79s/it]
                                                          
{'loss': 2.0986, 'grad_norm': 3.6205039024353027, 'learning_rate': 2.229362364656659e-05, 'epoch': 0.05}

 56%|█████▌    | 5578/10000 [14:42:21<14:28:34, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7200632095336914, dino_loss: 0.65625, depth_loss: 0.05839020386338234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.871053159236908, dino_loss: 0.69921875, depth_loss: 0.05185553431510925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5579/10000 [14:42:33<14:33:31, 11.86s/it]
                                                          
{'loss': 2.318, 'grad_norm': 1.575101613998413, 'learning_rate': 2.2285405031556625e-05, 'epoch': 0.05}

 56%|█████▌    | 5579/10000 [14:42:33<14:33:31, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9667439460754395, dino_loss: 0.6875, depth_loss: 0.07094715535640717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7481912970542908, dino_loss: 0.66015625, depth_loss: 0.07085689902305603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5580/10000 [14:42:45<14:37:21, 11.91s/it]
                                                          
{'loss': 1.9709, 'grad_norm': 4.885843753814697, 'learning_rate': 2.2277186713410687e-05, 'epoch': 0.05}

 56%|█████▌    | 5580/10000 [14:42:45<14:37:21, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7957031726837158, dino_loss: 0.69921875, depth_loss: 0.08081159740686417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7135457992553711, dino_loss: 0.67578125, depth_loss: 0.05615711212158203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5581/10000 [14:42:57<14:41:27, 11.97s/it]
                                                          
{'loss': 2.2744, 'grad_norm': 3.307373285293579, 'learning_rate': 2.2268968693027516e-05, 'epoch': 0.05}

 56%|█████▌    | 5581/10000 [14:42:57<14:41:27, 11.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9332590103149414, dino_loss: 0.68359375, depth_loss: 0.05706191062927246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7378398180007935, dino_loss: 0.625, depth_loss: 0.05008016899228096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5582/10000 [14:43:09<14:32:12, 11.85s/it]
                                                          
{'loss': 2.1934, 'grad_norm': 3.2255537509918213, 'learning_rate': 2.226075097130583e-05, 'epoch': 0.05}

 56%|█████▌    | 5582/10000 [14:43:09<14:32:12, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0241178274154663, dino_loss: 0.6640625, depth_loss: 0.06882058084011078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.778560221195221, dino_loss: 0.64453125, depth_loss: 0.054550543427467346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5583/10000 [14:43:20<14:28:50, 11.80s/it]
                                                          
{'loss': 2.1757, 'grad_norm': 3.9901981353759766, 'learning_rate': 2.2252533549144288e-05, 'epoch': 0.05}

 56%|█████▌    | 5583/10000 [14:43:20<14:28:50, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8661317229270935, dino_loss: 0.70703125, depth_loss: 0.06183426454663277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8308647871017456, dino_loss: 0.68359375, depth_loss: 0.06825538724660873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5584/10000 [14:43:32<14:23:17, 11.73s/it]
                                                          
{'loss': 1.9331, 'grad_norm': 1.6420379877090454, 'learning_rate': 2.2244316427441553e-05, 'epoch': 0.05}

 56%|█████▌    | 5584/10000 [14:43:32<14:23:17, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7185846567153931, dino_loss: 0.70703125, depth_loss: 0.05723379924893379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7463114261627197, dino_loss: 0.6328125, depth_loss: 0.052408430725336075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5585/10000 [14:43:43<14:11:30, 11.57s/it]
                                                          
{'loss': 1.6151, 'grad_norm': 3.573782444000244, 'learning_rate': 2.223609960709622e-05, 'epoch': 0.05}

 56%|█████▌    | 5585/10000 [14:43:43<14:11:30, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7244921326637268, dino_loss: 0.68359375, depth_loss: 0.06331921368837357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8300356864929199, dino_loss: 0.66796875, depth_loss: 0.0565735287964344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5586/10000 [14:43:55<14:10:57, 11.57s/it]
                                                          
{'loss': 2.1436, 'grad_norm': 2.595676898956299, 'learning_rate': 2.2227883089006887e-05, 'epoch': 0.05}

 56%|█████▌    | 5586/10000 [14:43:55<14:10:57, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7556421756744385, dino_loss: 0.71875, depth_loss: 0.05403532087802887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8806105256080627, dino_loss: 0.6796875, depth_loss: 0.07103052735328674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5587/10000 [14:44:07<14:20:40, 11.70s/it]
                                                          
{'loss': 1.9945, 'grad_norm': 2.5311057567596436, 'learning_rate': 2.2219666874072093e-05, 'epoch': 0.05}

 56%|█████▌    | 5587/10000 [14:44:07<14:20:40, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9229434728622437, dino_loss: 0.70703125, depth_loss: 0.05687372013926506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8807777762413025, dino_loss: 0.734375, depth_loss: 0.07045840471982956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5588/10000 [14:44:18<14:18:00, 11.67s/it]
                                                          
{'loss': 2.2222, 'grad_norm': 4.565000057220459, 'learning_rate': 2.221145096319035e-05, 'epoch': 0.05}

 56%|█████▌    | 5588/10000 [14:44:18<14:18:00, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8677005767822266, dino_loss: 0.6796875, depth_loss: 0.06570379436016083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9141451120376587, dino_loss: 0.69140625, depth_loss: 0.04751327633857727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5589/10000 [14:44:30<14:22:46, 11.74s/it]
                                                          
{'loss': 2.0635, 'grad_norm': 3.2136447429656982, 'learning_rate': 2.2203235357260134e-05, 'epoch': 0.05}

 56%|█████▌    | 5589/10000 [14:44:30<14:22:46, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7633317112922668, dino_loss: 0.71875, depth_loss: 0.07980336993932724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8586341142654419, dino_loss: 0.6484375, depth_loss: 0.05109569430351257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5590/10000 [14:44:43<14:38:38, 11.95s/it]
                                                          
{'loss': 2.3914, 'grad_norm': 2.5229508876800537, 'learning_rate': 2.2195020057179896e-05, 'epoch': 0.05}

 56%|█████▌    | 5590/10000 [14:44:43<14:38:38, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7381712198257446, dino_loss: 0.640625, depth_loss: 0.06374228000640869, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 2
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6509552597999573, dino_loss: 0.69140625, depth_loss: 0.0633828267455101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5591/10000 [14:44:55<15:00:06, 12.25s/it]
                                                          
{'loss': 2.7503, 'grad_norm': 2.5843069553375244, 'learning_rate': 2.218680506384804e-05, 'epoch': 0.05}

 56%|█████▌    | 5591/10000 [14:44:55<15:00:06, 12.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.766548216342926, dino_loss: 0.6875, depth_loss: 0.05729092285037041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9433865547180176, dino_loss: 0.6796875, depth_loss: 0.090583935379982, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5592/10000 [14:45:07<14:37:58, 11.95s/it]
                                                          
{'loss': 2.3017, 'grad_norm': 5.149191856384277, 'learning_rate': 2.217859037816296e-05, 'epoch': 0.05}

 56%|█████▌    | 5592/10000 [14:45:07<14:37:58, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9029400944709778, dino_loss: 0.69921875, depth_loss: 0.07193215191364288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8721604347229004, dino_loss: 0.61328125, depth_loss: 0.06975030899047852, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5593/10000 [14:45:18<14:26:25, 11.80s/it]
                                                          
{'loss': 2.0375, 'grad_norm': 2.2045555114746094, 'learning_rate': 2.2170376001022994e-05, 'epoch': 0.05}

 56%|█████▌    | 5593/10000 [14:45:18<14:26:25, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8786957263946533, dino_loss: 0.71875, depth_loss: 0.08009179681539536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.758877158164978, dino_loss: 0.640625, depth_loss: 0.05252525210380554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5594/10000 [14:45:29<14:15:30, 11.65s/it]
                                                          
{'loss': 2.1276, 'grad_norm': 2.6264843940734863, 'learning_rate': 2.2162161933326454e-05, 'epoch': 0.05}

 56%|█████▌    | 5594/10000 [14:45:29<14:15:30, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6907345056533813, dino_loss: 0.6328125, depth_loss: 0.05125834792852402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.873551070690155, dino_loss: 0.6484375, depth_loss: 0.058208901435136795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5595/10000 [14:45:41<14:11:38, 11.60s/it]
                                                          
{'loss': 1.7272, 'grad_norm': 3.2753639221191406, 'learning_rate': 2.215394817597162e-05, 'epoch': 0.05}

 56%|█████▌    | 5595/10000 [14:45:41<14:11:38, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6605166792869568, dino_loss: 0.68359375, depth_loss: 0.059114545583724976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0408140420913696, dino_loss: 0.6484375, depth_loss: 0.0507841557264328, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5596/10000 [14:45:53<14:17:46, 11.69s/it]
                                                          
{'loss': 2.3534, 'grad_norm': 3.9096500873565674, 'learning_rate': 2.214573472985673e-05, 'epoch': 0.05}

 56%|█████▌    | 5596/10000 [14:45:53<14:17:46, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.663320779800415, dino_loss: 0.6796875, depth_loss: 0.05145717412233353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8625349998474121, dino_loss: 0.6953125, depth_loss: 0.05072734132409096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5597/10000 [14:46:04<14:13:31, 11.63s/it]
                                                          
{'loss': 2.3047, 'grad_norm': 3.9719579219818115, 'learning_rate': 2.213752159588e-05, 'epoch': 0.05}

 56%|█████▌    | 5597/10000 [14:46:04<14:13:31, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6429314017295837, dino_loss: 0.6484375, depth_loss: 0.04874498397111893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.802560567855835, dino_loss: 0.73046875, depth_loss: 0.06327884644269943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5598/10000 [14:46:16<14:06:45, 11.54s/it]
                                                          
{'loss': 1.9776, 'grad_norm': 3.0361366271972656, 'learning_rate': 2.21293087749396e-05, 'epoch': 0.05}

 56%|█████▌    | 5598/10000 [14:46:16<14:06:45, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7570532560348511, dino_loss: 0.6640625, depth_loss: 0.059997811913490295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.6726576089859009, dino_loss: 0.61328125, depth_loss: 0.051310520619153976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5599/10000 [14:46:27<14:12:05, 11.62s/it]
                                                          
{'loss': 2.2879, 'grad_norm': 2.8141369819641113, 'learning_rate': 2.2121096267933685e-05, 'epoch': 0.05}

 56%|█████▌    | 5599/10000 [14:46:27<14:12:05, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9191220998764038, dino_loss: 0.68359375, depth_loss: 0.05050574243068695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8876563310623169, dino_loss: 0.6640625, depth_loss: 0.053110621869564056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5600/10000 [14:46:39<13:59:42, 11.45s/it]
                                                          
{'loss': 2.2676, 'grad_norm': 3.1282389163970947, 'learning_rate': 2.2112884075760347e-05, 'epoch': 0.05}

 56%|█████▌    | 5600/10000 [14:46:39<13:59:42, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8684128522872925, dino_loss: 0.6640625, depth_loss: 0.04062628000974655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0021318197250366, dino_loss: 0.7109375, depth_loss: 0.060781847685575485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5601/10000 [14:46:49<13:47:53, 11.29s/it]
                                                          
{'loss': 2.0424, 'grad_norm': 4.578984260559082, 'learning_rate': 2.2104672199317673e-05, 'epoch': 0.05}

 56%|█████▌    | 5601/10000 [14:46:49<13:47:53, 11.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.7016042470932007, dino_loss: 0.6796875, depth_loss: 0.059547536075115204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8545210361480713, dino_loss: 0.7265625, depth_loss: 0.07377032935619354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5602/10000 [14:47:01<13:59:50, 11.46s/it]
                                                          
{'loss': 1.9794, 'grad_norm': 4.3770904541015625, 'learning_rate': 2.209646063950369e-05, 'epoch': 0.05}

 56%|█████▌    | 5602/10000 [14:47:01<13:59:50, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592041730880737, dino_loss: 0.6484375, depth_loss: 0.0462128184735775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8134689927101135, dino_loss: 0.73828125, depth_loss: 0.07666274160146713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5603/10000 [14:47:13<14:14:16, 11.66s/it]
                                                          
{'loss': 2.6297, 'grad_norm': 4.4820733070373535, 'learning_rate': 2.208824939721641e-05, 'epoch': 0.05}

 56%|█████▌    | 5603/10000 [14:47:13<14:14:16, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8342549800872803, dino_loss: 0.6328125, depth_loss: 0.054842758923769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8488161563873291, dino_loss: 0.69921875, depth_loss: 0.060473810881376266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5604/10000 [14:47:25<14:22:17, 11.77s/it]
                                                          
{'loss': 2.2026, 'grad_norm': 1.7291291952133179, 'learning_rate': 2.2080038473353784e-05, 'epoch': 0.05}

 56%|█████▌    | 5604/10000 [14:47:25<14:22:17, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.954598069190979, dino_loss: 0.703125, depth_loss: 0.05178248882293701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8286197185516357, dino_loss: 0.73046875, depth_loss: 0.06877806037664413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5605/10000 [14:47:38<14:31:56, 11.90s/it]
                                                          
{'loss': 2.2438, 'grad_norm': 3.6139140129089355, 'learning_rate': 2.2071827868813774e-05, 'epoch': 0.05}

 56%|█████▌    | 5605/10000 [14:47:38<14:31:56, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8977152109146118, dino_loss: 0.7265625, depth_loss: 0.06827989220619202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8729150295257568, dino_loss: 0.6875, depth_loss: 0.055439967662096024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5606/10000 [14:47:50<14:34:23, 11.94s/it]
                                                          
{'loss': 2.618, 'grad_norm': 2.614067792892456, 'learning_rate': 2.2063617584494265e-05, 'epoch': 0.05}

 56%|█████▌    | 5606/10000 [14:47:50<14:34:23, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.9662215113639832, dino_loss: 0.6640625, depth_loss: 0.054563745856285095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8807157278060913, dino_loss: 0.71484375, depth_loss: 0.054179348051548004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5607/10000 [14:48:01<14:22:12, 11.78s/it]
                                                          
{'loss': 1.8141, 'grad_norm': 3.7276761531829834, 'learning_rate': 2.2055407621293122e-05, 'epoch': 0.05}

 56%|█████▌    | 5607/10000 [14:48:01<14:22:12, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9133356809616089, dino_loss: 0.7578125, depth_loss: 0.061993181705474854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.942766547203064, dino_loss: 0.65625, depth_loss: 0.057955339550971985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5608/10000 [14:48:13<14:30:47, 11.90s/it]
                                                          
{'loss': 2.6129, 'grad_norm': 3.8056979179382324, 'learning_rate': 2.2047197980108176e-05, 'epoch': 0.05}

 56%|█████▌    | 5608/10000 [14:48:13<14:30:47, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8579223155975342, dino_loss: 0.6796875, depth_loss: 0.07210896909236908, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9047385454177856, dino_loss: 0.7265625, depth_loss: 0.05891527608036995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5609/10000 [14:48:25<14:32:19, 11.92s/it]
                                                          
{'loss': 2.7444, 'grad_norm': 2.9379382133483887, 'learning_rate': 2.2038988661837214e-05, 'epoch': 0.05}

 56%|█████▌    | 5609/10000 [14:48:25<14:32:19, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.866726279258728, dino_loss: 0.70703125, depth_loss: 0.0695427730679512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9493700861930847, dino_loss: 0.65234375, depth_loss: 0.06291401386260986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5610/10000 [14:48:37<14:26:30, 11.84s/it]
                                                          
{'loss': 2.5003, 'grad_norm': 2.973733425140381, 'learning_rate': 2.2030779667377996e-05, 'epoch': 0.05}

 56%|█████▌    | 5610/10000 [14:48:37<14:26:30, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8225630521774292, dino_loss: 0.69140625, depth_loss: 0.06131412833929062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9739505052566528, dino_loss: 0.6875, depth_loss: 0.07643786817789078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5611/10000 [14:48:48<14:11:20, 11.64s/it]
                                                          
{'loss': 1.7583, 'grad_norm': 2.869504451751709, 'learning_rate': 2.2022570997628256e-05, 'epoch': 0.05}

 56%|█████▌    | 5611/10000 [14:48:48<14:11:20, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.7813847661018372, dino_loss: 0.7109375, depth_loss: 0.047897182404994965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9270385503768921, dino_loss: 0.77734375, depth_loss: 0.06681734323501587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5612/10000 [14:48:59<14:07:15, 11.59s/it]
                                                          
{'loss': 2.0869, 'grad_norm': 3.4732301235198975, 'learning_rate': 2.2014362653485675e-05, 'epoch': 0.05}

 56%|█████▌    | 5612/10000 [14:48:59<14:07:15, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8353400230407715, dino_loss: 0.6328125, depth_loss: 0.047126755118370056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7871164083480835, dino_loss: 0.67578125, depth_loss: 0.06452061235904694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5613/10000 [14:49:10<13:53:55, 11.41s/it]
                                                          
{'loss': 2.1784, 'grad_norm': 2.8113157749176025, 'learning_rate': 2.2006154635847908e-05, 'epoch': 0.05}

 56%|█████▌    | 5613/10000 [14:49:10<13:53:55, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7941802144050598, dino_loss: 0.68359375, depth_loss: 0.059707846492528915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8048461079597473, dino_loss: 0.6953125, depth_loss: 0.0591903030872345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5614/10000 [14:49:22<13:59:19, 11.48s/it]
                                                          
{'loss': 1.9221, 'grad_norm': 2.3207602500915527, 'learning_rate': 2.199794694561257e-05, 'epoch': 0.05}

 56%|█████▌    | 5614/10000 [14:49:22<13:59:19, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6992736458778381, dino_loss: 0.66796875, depth_loss: 0.0540643148124218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6937179565429688, dino_loss: 0.63671875, depth_loss: 0.051625728607177734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5615/10000 [14:49:34<14:03:41, 11.54s/it]
                                                          
{'loss': 1.4189, 'grad_norm': 2.0728273391723633, 'learning_rate': 2.1989739583677238e-05, 'epoch': 0.05}

 56%|█████▌    | 5615/10000 [14:49:34<14:03:41, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7785599231719971, dino_loss: 0.65625, depth_loss: 0.0654962807893753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.898347020149231, dino_loss: 0.75, depth_loss: 0.06843733787536621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5616/10000 [14:49:46<14:06:57, 11.59s/it]
                                                          
{'loss': 2.2388, 'grad_norm': 3.1661312580108643, 'learning_rate': 2.198153255093946e-05, 'epoch': 0.05}

 56%|█████▌    | 5616/10000 [14:49:46<14:06:57, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9583691358566284, dino_loss: 0.67578125, depth_loss: 0.06304620206356049, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8507481217384338, dino_loss: 0.6953125, depth_loss: 0.07161404192447662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5617/10000 [14:49:57<13:54:54, 11.43s/it]
                                                          
{'loss': 1.6753, 'grad_norm': 6.040445804595947, 'learning_rate': 2.197332584829673e-05, 'epoch': 0.05}

 56%|█████▌    | 5617/10000 [14:49:57<13:54:54, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9817295074462891, dino_loss: 0.72265625, depth_loss: 0.06345772743225098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9142242670059204, dino_loss: 0.7109375, depth_loss: 0.059663306921720505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5618/10000 [14:50:08<14:00:33, 11.51s/it]
                                                          
{'loss': 2.5396, 'grad_norm': 3.8409790992736816, 'learning_rate': 2.1965119476646547e-05, 'epoch': 0.05}

 56%|█████▌    | 5618/10000 [14:50:08<14:00:33, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7117989659309387, dino_loss: 0.703125, depth_loss: 0.05184296518564224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0078003406524658, dino_loss: 0.71484375, depth_loss: 0.06684470176696777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5619/10000 [14:50:20<14:15:38, 11.72s/it]
                                                          
{'loss': 2.614, 'grad_norm': 3.379208564758301, 'learning_rate': 2.195691343688634e-05, 'epoch': 0.05}

 56%|█████▌    | 5619/10000 [14:50:20<14:15:38, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7549958229064941, dino_loss: 0.6796875, depth_loss: 0.05796423181891441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9620305895805359, dino_loss: 0.71875, depth_loss: 0.058962080627679825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5620/10000 [14:50:33<14:22:23, 11.81s/it]
                                                          
{'loss': 2.7398, 'grad_norm': 6.341452598571777, 'learning_rate': 2.19487077299135e-05, 'epoch': 0.05}

 56%|█████▌    | 5620/10000 [14:50:33<14:22:23, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6412225365638733, dino_loss: 0.65625, depth_loss: 0.05237685143947601, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.111694574356079, dino_loss: 0.66796875, depth_loss: 0.05797722935676575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5621/10000 [14:50:44<14:10:43, 11.66s/it]
                                                          
{'loss': 1.9115, 'grad_norm': 3.431558847427368, 'learning_rate': 2.194050235662539e-05, 'epoch': 0.05}

 56%|█████▌    | 5621/10000 [14:50:44<14:10:43, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8772082924842834, dino_loss: 0.671875, depth_loss: 0.04208812862634659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0473566055297852, dino_loss: 0.7265625, depth_loss: 0.06077633425593376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5622/10000 [14:50:55<14:10:51, 11.66s/it]
                                                          
{'loss': 2.2726, 'grad_norm': 6.1319355964660645, 'learning_rate': 2.1932297317919348e-05, 'epoch': 0.05}

 56%|█████▌    | 5622/10000 [14:50:55<14:10:51, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7995150089263916, dino_loss: 0.70703125, depth_loss: 0.0685272365808487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.650600790977478, dino_loss: 0.67578125, depth_loss: 0.05446908622980118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5623/10000 [14:51:07<14:06:08, 11.60s/it]
                                                          
{'loss': 1.773, 'grad_norm': 7.737788677215576, 'learning_rate': 2.1924092614692654e-05, 'epoch': 0.05}

 56%|█████▌    | 5623/10000 [14:51:07<14:06:08, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6330559253692627, dino_loss: 0.68359375, depth_loss: 0.04798136278986931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8668133616447449, dino_loss: 0.71875, depth_loss: 0.0553264394402504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▌    | 5624/10000 [14:51:19<14:09:37, 11.65s/it]
                                                          
{'loss': 2.0636, 'grad_norm': 2.810791015625, 'learning_rate': 2.1915888247842574e-05, 'epoch': 0.05}

 56%|█████▌    | 5624/10000 [14:51:19<14:09:37, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8064103126525879, dino_loss: 0.72265625, depth_loss: 0.06430884450674057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.8346239328384399, dino_loss: 0.65234375, depth_loss: 0.0706048458814621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5625/10000 [14:51:30<13:56:58, 11.48s/it]
                                                          
{'loss': 2.06, 'grad_norm': 2.708752155303955, 'learning_rate': 2.190768421826631e-05, 'epoch': 0.05}

 56%|█████▋    | 5625/10000 [14:51:30<13:56:58, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9018419981002808, dino_loss: 0.69921875, depth_loss: 0.05881355330348015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8676630854606628, dino_loss: 0.7265625, depth_loss: 0.07960648089647293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5626/10000 [14:51:41<13:54:55, 11.45s/it]
                                                          
{'loss': 1.8443, 'grad_norm': 2.7627739906311035, 'learning_rate': 2.1899480526861057e-05, 'epoch': 0.05}

 56%|█████▋    | 5626/10000 [14:51:41<13:54:55, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0225334167480469, dino_loss: 0.66796875, depth_loss: 0.05471799522638321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.758391261100769, dino_loss: 0.65234375, depth_loss: 0.05232439935207367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5627/10000 [14:51:53<13:54:43, 11.45s/it]
                                                          
{'loss': 2.0984, 'grad_norm': 2.0803616046905518, 'learning_rate': 2.189127717452395e-05, 'epoch': 0.05}

 56%|█████▋    | 5627/10000 [14:51:53<13:54:43, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7052186727523804, dino_loss: 0.671875, depth_loss: 0.06400338560342789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8983780145645142, dino_loss: 0.6484375, depth_loss: 0.05274662747979164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5628/10000 [14:52:04<13:53:37, 11.44s/it]
                                                          
{'loss': 1.7434, 'grad_norm': 3.6739654541015625, 'learning_rate': 2.18830741621521e-05, 'epoch': 0.05}

 56%|█████▋    | 5628/10000 [14:52:04<13:53:37, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6920391321182251, dino_loss: 0.609375, depth_loss: 0.04879172518849373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9025288820266724, dino_loss: 0.69140625, depth_loss: 0.06780876219272614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5629/10000 [14:52:16<13:53:55, 11.45s/it]
                                                          
{'loss': 1.9856, 'grad_norm': 3.1036200523376465, 'learning_rate': 2.187487149064256e-05, 'epoch': 0.05}

 56%|█████▋    | 5629/10000 [14:52:16<13:53:55, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8090393543243408, dino_loss: 0.69140625, depth_loss: 0.059248607605695724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7356705665588379, dino_loss: 0.625, depth_loss: 0.060883551836013794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5630/10000 [14:52:27<13:52:08, 11.43s/it]
                                                          
{'loss': 2.0895, 'grad_norm': 4.229640960693359, 'learning_rate': 2.186666916089239e-05, 'epoch': 0.05}

 56%|█████▋    | 5630/10000 [14:52:27<13:52:08, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6773091554641724, dino_loss: 0.6640625, depth_loss: 0.05464725196361542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9272688627243042, dino_loss: 0.69921875, depth_loss: 0.06740257143974304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5631/10000 [14:52:38<13:48:06, 11.37s/it]
                                                          
{'loss': 1.9636, 'grad_norm': 3.8840668201446533, 'learning_rate': 2.1858467173798568e-05, 'epoch': 0.05}

 56%|█████▋    | 5631/10000 [14:52:38<13:48:06, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8572575449943542, dino_loss: 0.703125, depth_loss: 0.046960923820734024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8018685579299927, dino_loss: 0.71875, depth_loss: 0.06409482657909393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5632/10000 [14:52:50<13:48:47, 11.38s/it]
                                                          
{'loss': 1.6045, 'grad_norm': 4.125866413116455, 'learning_rate': 2.1850265530258055e-05, 'epoch': 0.05}

 56%|█████▋    | 5632/10000 [14:52:50<13:48:47, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9353772401809692, dino_loss: 0.69140625, depth_loss: 0.06380492448806763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9573184251785278, dino_loss: 0.7421875, depth_loss: 0.06278403103351593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5633/10000 [14:53:01<13:57:22, 11.51s/it]
                                                          
{'loss': 2.4278, 'grad_norm': 3.4617228507995605, 'learning_rate': 2.1842064231167767e-05, 'epoch': 0.05}

 56%|█████▋    | 5633/10000 [14:53:01<13:57:22, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9211100339889526, dino_loss: 0.71875, depth_loss: 0.05895474925637245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9175319671630859, dino_loss: 0.68359375, depth_loss: 0.06413793563842773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5634/10000 [14:53:13<13:53:30, 11.45s/it]
                                                          
{'loss': 2.1856, 'grad_norm': 2.6733291149139404, 'learning_rate': 2.1833863277424585e-05, 'epoch': 0.05}

 56%|█████▋    | 5634/10000 [14:53:13<13:53:30, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.8408772945404053, dino_loss: 0.6875, depth_loss: 0.05784522369503975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7778239250183105, dino_loss: 0.671875, depth_loss: 0.057389192283153534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5635/10000 [14:53:24<13:44:48, 11.34s/it]
                                                          
{'loss': 1.8897, 'grad_norm': 3.0555877685546875, 'learning_rate': 2.1825662669925354e-05, 'epoch': 0.05}

 56%|█████▋    | 5635/10000 [14:53:24<13:44:48, 11.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7436502575874329, dino_loss: 0.65234375, depth_loss: 0.08956615626811981, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7367001175880432, dino_loss: 0.61328125, depth_loss: 0.049607470631599426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5636/10000 [14:53:36<13:56:49, 11.51s/it]
                                                          
{'loss': 1.8846, 'grad_norm': 2.6245837211608887, 'learning_rate': 2.1817462409566873e-05, 'epoch': 0.05}

 56%|█████▋    | 5636/10000 [14:53:36<13:56:49, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8313649892807007, dino_loss: 0.65625, depth_loss: 0.05366547405719757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9062731266021729, dino_loss: 0.69921875, depth_loss: 0.04901377856731415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5637/10000 [14:53:48<14:14:49, 11.76s/it]
                                                          
{'loss': 2.4393, 'grad_norm': 7.898270130157471, 'learning_rate': 2.1809262497245925e-05, 'epoch': 0.05}

 56%|█████▋    | 5637/10000 [14:53:48<14:14:49, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7222074270248413, dino_loss: 0.63671875, depth_loss: 0.062067337334156036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8291314244270325, dino_loss: 0.6953125, depth_loss: 0.04709361866116524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5638/10000 [14:54:00<14:26:03, 11.91s/it]
                                                          
{'loss': 2.2462, 'grad_norm': 3.226712703704834, 'learning_rate': 2.1801062933859235e-05, 'epoch': 0.05}

 56%|█████▋    | 5638/10000 [14:54:00<14:26:03, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8328918218612671, dino_loss: 0.7421875, depth_loss: 0.06750985980033875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0219697952270508, dino_loss: 0.6953125, depth_loss: 0.05844064801931381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5639/10000 [14:54:13<14:46:45, 12.20s/it]
                                                          
{'loss': 2.7613, 'grad_norm': 5.180421352386475, 'learning_rate': 2.1792863720303494e-05, 'epoch': 0.05}

 56%|█████▋    | 5639/10000 [14:54:13<14:46:45, 12.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8047969937324524, dino_loss: 0.71484375, depth_loss: 0.047232478857040405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7795881032943726, dino_loss: 0.66015625, depth_loss: 0.05047108232975006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5640/10000 [14:54:24<14:24:08, 11.89s/it]
                                                          
{'loss': 2.1456, 'grad_norm': 3.1132771968841553, 'learning_rate': 2.1784664857475352e-05, 'epoch': 0.05}

 56%|█████▋    | 5640/10000 [14:54:24<14:24:08, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0036635398864746, dino_loss: 0.671875, depth_loss: 0.053008779883384705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.814565896987915, dino_loss: 0.65625, depth_loss: 0.04050233215093613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5641/10000 [14:54:35<13:59:39, 11.56s/it]
                                                          
{'loss': 1.7053, 'grad_norm': 4.475744247436523, 'learning_rate': 2.177646634627143e-05, 'epoch': 0.05}

 56%|█████▋    | 5641/10000 [14:54:35<13:59:39, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8385859727859497, dino_loss: 0.68359375, depth_loss: 0.05138596147298813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8550914525985718, dino_loss: 0.7265625, depth_loss: 0.05722855404019356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5642/10000 [14:54:47<13:57:29, 11.53s/it]
                                                          
{'loss': 1.8743, 'grad_norm': 2.3457350730895996, 'learning_rate': 2.1768268187588293e-05, 'epoch': 0.05}

 56%|█████▋    | 5642/10000 [14:54:47<13:57:29, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0233268737792969, dino_loss: 0.69921875, depth_loss: 0.06914665549993515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9389239549636841, dino_loss: 0.6953125, depth_loss: 0.07310429960489273, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5643/10000 [14:54:58<13:52:42, 11.47s/it]
                                                          
{'loss': 2.3541, 'grad_norm': 5.240878582000732, 'learning_rate': 2.1760070382322497e-05, 'epoch': 0.05}

 56%|█████▋    | 5643/10000 [14:54:58<13:52:42, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7934156656265259, dino_loss: 0.6640625, depth_loss: 0.06510871648788452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7560432553291321, dino_loss: 0.64453125, depth_loss: 0.08631114661693573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5644/10000 [14:55:10<13:57:14, 11.53s/it]
                                                          
{'loss': 2.0629, 'grad_norm': 2.8228189945220947, 'learning_rate': 2.1751872931370528e-05, 'epoch': 0.05}

 56%|█████▋    | 5644/10000 [14:55:10<13:57:14, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.683342695236206, dino_loss: 0.66015625, depth_loss: 0.05116349458694458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7713315486907959, dino_loss: 0.6796875, depth_loss: 0.05705961957573891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5645/10000 [14:55:21<13:51:29, 11.46s/it]
                                                          
{'loss': 1.6995, 'grad_norm': 2.026094913482666, 'learning_rate': 2.1743675835628856e-05, 'epoch': 0.05}

 56%|█████▋    | 5645/10000 [14:55:21<13:51:29, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9234583377838135, dino_loss: 0.703125, depth_loss: 0.05687898024916649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8882623910903931, dino_loss: 0.671875, depth_loss: 0.06337717175483704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5646/10000 [14:55:32<13:45:43, 11.38s/it]
                                                          
{'loss': 2.0609, 'grad_norm': 6.007753849029541, 'learning_rate': 2.1735479095993893e-05, 'epoch': 0.05}

 56%|█████▋    | 5646/10000 [14:55:32<13:45:43, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9187490344047546, dino_loss: 0.66015625, depth_loss: 0.06795693933963776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8479561805725098, dino_loss: 0.65234375, depth_loss: 0.05404113605618477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5647/10000 [14:55:43<13:45:32, 11.38s/it]
                                                          
{'loss': 2.0499, 'grad_norm': 9.52855110168457, 'learning_rate': 2.1727282713362036e-05, 'epoch': 0.05}

 56%|█████▋    | 5647/10000 [14:55:43<13:45:32, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9395685791969299, dino_loss: 0.671875, depth_loss: 0.06621257960796356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0289332866668701, dino_loss: 0.72265625, depth_loss: 0.06009288504719734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5648/10000 [14:55:55<14:01:04, 11.60s/it]
                                                          
{'loss': 2.3177, 'grad_norm': 3.7572951316833496, 'learning_rate': 2.1719086688629612e-05, 'epoch': 0.05}

 56%|█████▋    | 5648/10000 [14:55:55<14:01:04, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5650153160095215, dino_loss: 0.609375, depth_loss: 0.04326549172401428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7741115093231201, dino_loss: 0.66015625, depth_loss: 0.04515989124774933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5649/10000 [14:56:08<14:23:27, 11.91s/it]
                                                          
{'loss': 1.7724, 'grad_norm': 4.077938556671143, 'learning_rate': 2.171089102269294e-05, 'epoch': 0.05}

 56%|█████▋    | 5649/10000 [14:56:08<14:23:27, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.940584123134613, dino_loss: 0.68359375, depth_loss: 0.07645827531814575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0170106887817383, dino_loss: 0.703125, depth_loss: 0.06038982421159744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 56%|█████▋    | 5650/10000 [14:56:19<14:02:05, 11.61s/it]
                                                          
{'loss': 1.9565, 'grad_norm': 4.444587230682373, 'learning_rate': 2.1702695716448278e-05, 'epoch': 0.05}

 56%|█████▋    | 5650/10000 [14:56:19<14:02:05, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6765927076339722, dino_loss: 0.62109375, depth_loss: 0.04243852198123932, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.840110182762146, dino_loss: 0.68359375, depth_loss: 0.052984267473220825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5651/10000 [14:56:31<13:59:16, 11.58s/it]
                                                          
{'loss': 1.8665, 'grad_norm': 2.8621201515197754, 'learning_rate': 2.1694500770791858e-05, 'epoch': 0.05}

 57%|█████▋    | 5651/10000 [14:56:31<13:59:16, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7680813074111938, dino_loss: 0.65234375, depth_loss: 0.044409193098545074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9475042819976807, dino_loss: 0.7109375, depth_loss: 0.0681416317820549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5652/10000 [14:56:42<13:58:47, 11.57s/it]
                                                          
{'loss': 1.9231, 'grad_norm': 4.1064133644104, 'learning_rate': 2.1686306186619863e-05, 'epoch': 0.05}

 57%|█████▋    | 5652/10000 [14:56:42<13:58:47, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9710542559623718, dino_loss: 0.70703125, depth_loss: 0.052297599613666534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0900523662567139, dino_loss: 0.71484375, depth_loss: 0.06348760426044464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5653/10000 [14:56:53<13:45:33, 11.39s/it]
                                                          
{'loss': 2.1352, 'grad_norm': 3.7369656562805176, 'learning_rate': 2.1678111964828445e-05, 'epoch': 0.05}

 57%|█████▋    | 5653/10000 [14:56:53<13:45:33, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8616700172424316, dino_loss: 0.65625, depth_loss: 0.08435896039009094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9144566655158997, dino_loss: 0.66015625, depth_loss: 0.06143584102392197, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5654/10000 [14:57:05<13:47:44, 11.43s/it]
                                                          
{'loss': 2.0984, 'grad_norm': 2.4633519649505615, 'learning_rate': 2.1669918106313704e-05, 'epoch': 0.05}

 57%|█████▋    | 5654/10000 [14:57:05<13:47:44, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9230771660804749, dino_loss: 0.734375, depth_loss: 0.07345881313085556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6935675144195557, dino_loss: 0.7421875, depth_loss: 0.07321440428495407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5655/10000 [14:57:17<13:58:57, 11.59s/it]
                                                          
{'loss': 2.6612, 'grad_norm': 4.721185207366943, 'learning_rate': 2.1661724611971708e-05, 'epoch': 0.05}

 57%|█████▋    | 5655/10000 [14:57:17<13:58:57, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9949377179145813, dino_loss: 0.66015625, depth_loss: 0.05750974640250206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9090365171432495, dino_loss: 0.72265625, depth_loss: 0.061219338327646255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5656/10000 [14:57:28<13:56:55, 11.56s/it]
                                                          
{'loss': 2.1022, 'grad_norm': 2.947802782058716, 'learning_rate': 2.1653531482698493e-05, 'epoch': 0.05}

 57%|█████▋    | 5656/10000 [14:57:28<13:56:55, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7908157110214233, dino_loss: 0.61328125, depth_loss: 0.049329973757267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6415311098098755, dino_loss: 0.6640625, depth_loss: 0.06549733877182007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5657/10000 [14:57:40<14:04:59, 11.67s/it]
                                                          
{'loss': 2.0586, 'grad_norm': 3.6430299282073975, 'learning_rate': 2.1645338719390047e-05, 'epoch': 0.05}

 57%|█████▋    | 5657/10000 [14:57:40<14:04:59, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7725012302398682, dino_loss: 0.65234375, depth_loss: 0.06352762132883072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7794577479362488, dino_loss: 0.6640625, depth_loss: 0.061043836176395416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5658/10000 [14:57:52<14:06:21, 11.70s/it]
                                                          
{'loss': 2.191, 'grad_norm': 2.482351303100586, 'learning_rate': 2.1637146322942315e-05, 'epoch': 0.05}

 57%|█████▋    | 5658/10000 [14:57:52<14:06:21, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8711776733398438, dino_loss: 0.65625, depth_loss: 0.06988690793514252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7389928102493286, dino_loss: 0.58203125, depth_loss: 0.04810536280274391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5659/10000 [14:58:04<14:12:56, 11.79s/it]
                                                          
{'loss': 2.157, 'grad_norm': 1.6299551725387573, 'learning_rate': 2.1628954294251206e-05, 'epoch': 0.05}

 57%|█████▋    | 5659/10000 [14:58:04<14:12:56, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9650518894195557, dino_loss: 0.62890625, depth_loss: 0.06489042937755585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8576804995536804, dino_loss: 0.69140625, depth_loss: 0.07087520509958267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5660/10000 [14:58:16<14:23:45, 11.94s/it]
                                                          
{'loss': 2.632, 'grad_norm': 2.68165922164917, 'learning_rate': 2.1620762634212586e-05, 'epoch': 0.05}

 57%|█████▋    | 5660/10000 [14:58:16<14:23:45, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8237303495407104, dino_loss: 0.66796875, depth_loss: 0.06641486287117004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6261149644851685, dino_loss: 0.6328125, depth_loss: 0.04106965661048889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5661/10000 [14:58:28<14:26:01, 11.98s/it]
                                                          
{'loss': 2.1814, 'grad_norm': 2.7730045318603516, 'learning_rate': 2.161257134372227e-05, 'epoch': 0.05}

 57%|█████▋    | 5661/10000 [14:58:28<14:26:01, 11.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9234142303466797, dino_loss: 0.671875, depth_loss: 0.055926837027072906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9516881704330444, dino_loss: 0.66796875, depth_loss: 0.06187177449464798, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5662/10000 [14:58:40<14:14:41, 11.82s/it]
                                                          
{'loss': 2.4578, 'grad_norm': 4.3296966552734375, 'learning_rate': 2.1604380423676073e-05, 'epoch': 0.05}

 57%|█████▋    | 5662/10000 [14:58:40<14:14:41, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8210193514823914, dino_loss: 0.73046875, depth_loss: 0.07745137810707092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.830978512763977, dino_loss: 0.69140625, depth_loss: 0.07200953364372253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5663/10000 [14:58:51<14:14:36, 11.82s/it]
                                                          
{'loss': 2.1194, 'grad_norm': 3.9866573810577393, 'learning_rate': 2.159618987496973e-05, 'epoch': 0.05}

 57%|█████▋    | 5663/10000 [14:58:51<14:14:36, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9017487168312073, dino_loss: 0.6640625, depth_loss: 0.059747278690338135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8403546810150146, dino_loss: 0.65234375, depth_loss: 0.0613408088684082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5664/10000 [14:59:03<14:16:02, 11.85s/it]
                                                          
{'loss': 2.6535, 'grad_norm': 2.54345965385437, 'learning_rate': 2.1587999698498938e-05, 'epoch': 0.05}

 57%|█████▋    | 5664/10000 [14:59:03<14:16:02, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.842073917388916, dino_loss: 0.63671875, depth_loss: 0.06285703927278519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9482632875442505, dino_loss: 0.6875, depth_loss: 0.06497255712747574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5665/10000 [14:59:15<14:06:09, 11.71s/it]
                                                          
{'loss': 2.0331, 'grad_norm': 5.828786373138428, 'learning_rate': 2.1579809895159375e-05, 'epoch': 0.05}

 57%|█████▋    | 5665/10000 [14:59:15<14:06:09, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7923526167869568, dino_loss: 0.69140625, depth_loss: 0.058480117470026016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7408437728881836, dino_loss: 0.62890625, depth_loss: 0.05650661140680313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5666/10000 [14:59:26<14:03:50, 11.68s/it]
                                                          
{'loss': 1.8381, 'grad_norm': 4.044792652130127, 'learning_rate': 2.157162046584666e-05, 'epoch': 0.05}

 57%|█████▋    | 5666/10000 [14:59:26<14:03:50, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7791732549667358, dino_loss: 0.7109375, depth_loss: 0.05754440277814865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9494748115539551, dino_loss: 0.7265625, depth_loss: 0.06192592531442642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5667/10000 [14:59:38<13:57:30, 11.60s/it]
                                                          
{'loss': 2.2163, 'grad_norm': 4.330307960510254, 'learning_rate': 2.1563431411456367e-05, 'epoch': 0.05}

 57%|█████▋    | 5667/10000 [14:59:38<13:57:30, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0813474655151367, dino_loss: 0.67578125, depth_loss: 0.05207793414592743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.978838324546814, dino_loss: 0.6953125, depth_loss: 0.06853975355625153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5668/10000 [14:59:50<14:02:08, 11.66s/it]
                                                          
{'loss': 2.4631, 'grad_norm': 4.453837871551514, 'learning_rate': 2.155524273288405e-05, 'epoch': 0.05}

 57%|█████▋    | 5668/10000 [14:59:50<14:02:08, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.750998854637146, dino_loss: 0.61328125, depth_loss: 0.07206025719642639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7527337670326233, dino_loss: 0.625, depth_loss: 0.05143614485859871, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5669/10000 [15:00:01<13:58:57, 11.62s/it]
                                                          
{'loss': 1.9839, 'grad_norm': 4.522970199584961, 'learning_rate': 2.1547054431025214e-05, 'epoch': 0.05}

 57%|█████▋    | 5669/10000 [15:00:01<13:58:57, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8349884152412415, dino_loss: 0.66015625, depth_loss: 0.07036255300045013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0708909034729004, dino_loss: 0.70703125, depth_loss: 0.09989187866449356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5670/10000 [15:00:12<13:54:17, 11.56s/it]
                                                          
{'loss': 1.8907, 'grad_norm': 3.1281394958496094, 'learning_rate': 2.153886650677531e-05, 'epoch': 0.05}

 57%|█████▋    | 5670/10000 [15:00:12<13:54:17, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8171234130859375, dino_loss: 0.6953125, depth_loss: 0.07291045039892197, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8520267605781555, dino_loss: 0.703125, depth_loss: 0.060490190982818604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5671/10000 [15:00:24<13:55:27, 11.58s/it]
                                                          
{'loss': 2.1, 'grad_norm': 3.1135096549987793, 'learning_rate': 2.1530678961029762e-05, 'epoch': 0.05}

 57%|█████▋    | 5671/10000 [15:00:24<13:55:27, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.81136155128479, dino_loss: 0.66796875, depth_loss: 0.04769572988152504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9239828586578369, dino_loss: 0.75, depth_loss: 0.06691493093967438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5672/10000 [15:00:35<13:48:59, 11.49s/it]
                                                          
{'loss': 2.3135, 'grad_norm': 4.239263534545898, 'learning_rate': 2.152249179468395e-05, 'epoch': 0.05}

 57%|█████▋    | 5672/10000 [15:00:35<13:48:59, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0317420959472656, dino_loss: 0.64453125, depth_loss: 0.050579413771629333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.776907742023468, dino_loss: 0.68359375, depth_loss: 0.06734280288219452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5673/10000 [15:00:47<13:52:05, 11.54s/it]
                                                          
{'loss': 2.2117, 'grad_norm': 4.753326416015625, 'learning_rate': 2.1514305008633206e-05, 'epoch': 0.05}

 57%|█████▋    | 5673/10000 [15:00:47<13:52:05, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7307215929031372, dino_loss: 0.65234375, depth_loss: 0.05703914910554886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.984038233757019, dino_loss: 0.73828125, depth_loss: 0.07133530080318451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5674/10000 [15:00:59<13:56:33, 11.60s/it]
                                                          
{'loss': 2.2105, 'grad_norm': 2.826779365539551, 'learning_rate': 2.150611860377282e-05, 'epoch': 0.05}

 57%|█████▋    | 5674/10000 [15:00:59<13:56:33, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8154140710830688, dino_loss: 0.6953125, depth_loss: 0.07341092079877853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.776857316493988, dino_loss: 0.6328125, depth_loss: 0.04724140465259552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5675/10000 [15:01:11<14:08:10, 11.77s/it]
                                                          
{'loss': 2.1411, 'grad_norm': 2.89357328414917, 'learning_rate': 2.1497932580998053e-05, 'epoch': 0.05}

 57%|█████▋    | 5675/10000 [15:01:11<14:08:10, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9592734575271606, dino_loss: 0.66796875, depth_loss: 0.06981751322746277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6757577657699585, dino_loss: 0.6953125, depth_loss: 0.05074898153543472, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5676/10000 [15:01:23<14:16:52, 11.89s/it]
                                                          
{'loss': 2.2164, 'grad_norm': 2.370638847351074, 'learning_rate': 2.1489746941204116e-05, 'epoch': 0.05}

 57%|█████▋    | 5676/10000 [15:01:23<14:16:52, 11.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9151478409767151, dino_loss: 0.63671875, depth_loss: 0.06584596633911133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6799448728561401, dino_loss: 0.625, depth_loss: 0.06150367856025696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5677/10000 [15:01:35<14:19:56, 11.94s/it]
                                                          
{'loss': 2.0154, 'grad_norm': 2.875696897506714, 'learning_rate': 2.148156168528618e-05, 'epoch': 0.05}

 57%|█████▋    | 5677/10000 [15:01:35<14:19:56, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7952911257743835, dino_loss: 0.71484375, depth_loss: 0.06528504192829132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7844781875610352, dino_loss: 0.6328125, depth_loss: 0.04958704113960266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5678/10000 [15:01:47<14:12:33, 11.84s/it]
                                                          
{'loss': 2.1201, 'grad_norm': 2.7109649181365967, 'learning_rate': 2.1473376814139362e-05, 'epoch': 0.05}

 57%|█████▋    | 5678/10000 [15:01:47<14:12:33, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9234239459037781, dino_loss: 0.71484375, depth_loss: 0.07041115313768387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8180338144302368, dino_loss: 0.6640625, depth_loss: 0.07324020564556122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5679/10000 [15:01:59<14:13:01, 11.84s/it]
                                                          
{'loss': 2.3996, 'grad_norm': 3.5154542922973633, 'learning_rate': 2.146519232865876e-05, 'epoch': 0.05}

 57%|█████▋    | 5679/10000 [15:01:59<14:13:01, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7408733367919922, dino_loss: 0.6640625, depth_loss: 0.058079056441783905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8394479155540466, dino_loss: 0.71875, depth_loss: 0.07479922473430634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5680/10000 [15:02:11<14:14:21, 11.87s/it]
                                                          
{'loss': 2.2761, 'grad_norm': 3.5744059085845947, 'learning_rate': 2.1457008229739394e-05, 'epoch': 0.05}

 57%|█████▋    | 5680/10000 [15:02:11<14:14:21, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9122748374938965, dino_loss: 0.70703125, depth_loss: 0.04249631613492966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6542288064956665, dino_loss: 0.65625, depth_loss: 0.058360159397125244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5681/10000 [15:02:22<14:14:54, 11.88s/it]
                                                          
{'loss': 2.0542, 'grad_norm': 2.3435218334198, 'learning_rate': 2.1448824518276295e-05, 'epoch': 0.05}

 57%|█████▋    | 5681/10000 [15:02:22<14:14:54, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9867283701896667, dino_loss: 0.703125, depth_loss: 0.05864865332841873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8705915212631226, dino_loss: 0.6796875, depth_loss: 0.05396916717290878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5682/10000 [15:02:34<14:08:36, 11.79s/it]
                                                          
{'loss': 2.4353, 'grad_norm': 2.8864543437957764, 'learning_rate': 2.1440641195164405e-05, 'epoch': 0.05}

 57%|█████▋    | 5682/10000 [15:02:34<14:08:36, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8625739812850952, dino_loss: 0.71875, depth_loss: 0.06352778524160385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 6
seg_loss: 0.9208780527114868, dino_loss: 0.6484375, depth_loss: 0.057770345360040665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5683/10000 [15:02:45<13:55:34, 11.61s/it]
                                                          
{'loss': 2.2306, 'grad_norm': 3.5247907638549805, 'learning_rate': 2.1432458261298646e-05, 'epoch': 0.05}

 57%|█████▋    | 5683/10000 [15:02:45<13:55:34, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8760205507278442, dino_loss: 0.73828125, depth_loss: 0.08185277879238129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.739315390586853, dino_loss: 0.62890625, depth_loss: 0.06583479046821594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5684/10000 [15:02:57<13:56:36, 11.63s/it]
                                                          
{'loss': 2.0654, 'grad_norm': 2.20542573928833, 'learning_rate': 2.1424275717573888e-05, 'epoch': 0.05}

 57%|█████▋    | 5684/10000 [15:02:57<13:56:36, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8408201336860657, dino_loss: 0.63671875, depth_loss: 0.054093316197395325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7075091004371643, dino_loss: 0.61328125, depth_loss: 0.04932599514722824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5685/10000 [15:03:08<13:45:50, 11.48s/it]
                                                          
{'loss': 1.893, 'grad_norm': 3.4897255897521973, 'learning_rate': 2.141609356488496e-05, 'epoch': 0.05}

 57%|█████▋    | 5685/10000 [15:03:08<13:45:50, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9936710000038147, dino_loss: 0.625, depth_loss: 0.056083809584379196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9121367931365967, dino_loss: 0.7578125, depth_loss: 0.0715455561876297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5686/10000 [15:03:20<13:49:32, 11.54s/it]
                                                          
{'loss': 2.3382, 'grad_norm': 4.104620933532715, 'learning_rate': 2.140791180412665e-05, 'epoch': 0.05}

 57%|█████▋    | 5686/10000 [15:03:20<13:49:32, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8994399309158325, dino_loss: 0.69921875, depth_loss: 0.06174489110708237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 1.0152846574783325, dino_loss: 0.71875, depth_loss: 0.059271372854709625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5687/10000 [15:03:31<13:52:24, 11.58s/it]
                                                          
{'loss': 2.2725, 'grad_norm': 2.121587038040161, 'learning_rate': 2.1399730436193697e-05, 'epoch': 0.05}

 57%|█████▋    | 5687/10000 [15:03:31<13:52:24, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8978990316390991, dino_loss: 0.6484375, depth_loss: 0.057418908923864365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9017744064331055, dino_loss: 0.6484375, depth_loss: 0.05607684701681137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5688/10000 [15:03:44<14:09:20, 11.82s/it]
                                                          
{'loss': 2.3551, 'grad_norm': 3.25046968460083, 'learning_rate': 2.1391549461980817e-05, 'epoch': 0.05}

 57%|█████▋    | 5688/10000 [15:03:44<14:09:20, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0635029077529907, dino_loss: 0.6953125, depth_loss: 0.038154710084199905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8331115245819092, dino_loss: 0.640625, depth_loss: 0.05876902490854263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5689/10000 [15:03:56<14:11:44, 11.85s/it]
                                                          
{'loss': 2.3176, 'grad_norm': 5.144603729248047, 'learning_rate': 2.1383368882382666e-05, 'epoch': 0.05}

 57%|█████▋    | 5689/10000 [15:03:56<14:11:44, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9923877716064453, dino_loss: 0.69140625, depth_loss: 0.05763201788067818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9269900918006897, dino_loss: 0.69921875, depth_loss: 0.060275591909885406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5690/10000 [15:04:07<14:09:28, 11.83s/it]
                                                          
{'loss': 2.375, 'grad_norm': 3.8693792819976807, 'learning_rate': 2.1375188698293855e-05, 'epoch': 0.05}

 57%|█████▋    | 5690/10000 [15:04:07<14:09:28, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9217936992645264, dino_loss: 0.6953125, depth_loss: 0.046653542667627335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8598232865333557, dino_loss: 0.6875, depth_loss: 0.06903431564569473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5691/10000 [15:04:19<14:12:13, 11.87s/it]
                                                          
{'loss': 2.7003, 'grad_norm': 1.8157706260681152, 'learning_rate': 2.136700891060896e-05, 'epoch': 0.05}

 57%|█████▋    | 5691/10000 [15:04:19<14:12:13, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7080976366996765, dino_loss: 0.640625, depth_loss: 0.0539727658033371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8869198560714722, dino_loss: 0.7265625, depth_loss: 0.060379646718502045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5692/10000 [15:04:31<14:15:38, 11.92s/it]
                                                          
{'loss': 1.748, 'grad_norm': 2.3327972888946533, 'learning_rate': 2.1358829520222502e-05, 'epoch': 0.05}

 57%|█████▋    | 5692/10000 [15:04:31<14:15:38, 11.92s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.6469706892967224, dino_loss: 0.68359375, depth_loss: 0.05298388749361038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8731358051300049, dino_loss: 0.71875, depth_loss: 0.07063126564025879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5693/10000 [15:04:43<14:05:10, 11.77s/it]
                                                          
{'loss': 1.8231, 'grad_norm': 3.3057212829589844, 'learning_rate': 2.135065052802897e-05, 'epoch': 0.05}

 57%|█████▋    | 5693/10000 [15:04:43<14:05:10, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6855858564376831, dino_loss: 0.6328125, depth_loss: 0.04711063578724861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7530121803283691, dino_loss: 0.671875, depth_loss: 0.058519136160612106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5694/10000 [15:04:55<14:10:47, 11.85s/it]
                                                          
{'loss': 1.9193, 'grad_norm': 1.8098077774047852, 'learning_rate': 2.134247193492282e-05, 'epoch': 0.05}

 57%|█████▋    | 5694/10000 [15:04:55<14:10:47, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8627448081970215, dino_loss: 0.6953125, depth_loss: 0.06405342370271683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9795381426811218, dino_loss: 0.6796875, depth_loss: 0.06470050662755966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5695/10000 [15:05:06<14:01:02, 11.72s/it]
                                                          
{'loss': 2.0552, 'grad_norm': 2.4097743034362793, 'learning_rate': 2.1334293741798432e-05, 'epoch': 0.05}

 57%|█████▋    | 5695/10000 [15:05:06<14:01:02, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.680635392665863, dino_loss: 0.59375, depth_loss: 0.03857272118330002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9115530848503113, dino_loss: 0.75390625, depth_loss: 0.07562863826751709, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5696/10000 [15:05:18<13:51:02, 11.59s/it]
                                                          
{'loss': 1.7509, 'grad_norm': 3.5201780796051025, 'learning_rate': 2.1326115949550175e-05, 'epoch': 0.05}

 57%|█████▋    | 5696/10000 [15:05:18<13:51:02, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7800759077072144, dino_loss: 0.66015625, depth_loss: 0.07864309102296829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7773103713989258, dino_loss: 0.6875, depth_loss: 0.05789431929588318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5697/10000 [15:05:29<13:53:29, 11.62s/it]
                                                          
{'loss': 1.6674, 'grad_norm': 4.014453411102295, 'learning_rate': 2.1317938559072352e-05, 'epoch': 0.05}

 57%|█████▋    | 5697/10000 [15:05:29<13:53:29, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9666926860809326, dino_loss: 0.68359375, depth_loss: 0.04974432289600372, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9811919927597046, dino_loss: 0.71875, depth_loss: 0.06650526821613312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5698/10000 [15:05:41<13:45:53, 11.52s/it]
                                                          
{'loss': 2.4979, 'grad_norm': 3.571474313735962, 'learning_rate': 2.1309761571259237e-05, 'epoch': 0.05}

 57%|█████▋    | 5698/10000 [15:05:41<13:45:53, 11.52s/it]the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9189977049827576, dino_loss: 0.6328125, depth_loss: 0.04703861474990845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.797910749912262, dino_loss: 0.69140625, depth_loss: 0.07487277686595917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5699/10000 [15:05:52<13:46:14, 11.53s/it]
                                                          
{'loss': 2.4553, 'grad_norm': 4.422110557556152, 'learning_rate': 2.1301584987005036e-05, 'epoch': 0.05}

 57%|█████▋    | 5699/10000 [15:05:52<13:46:14, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9557490944862366, dino_loss: 0.66796875, depth_loss: 0.08411023020744324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7694923281669617, dino_loss: 0.65234375, depth_loss: 0.06125044450163841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5700/10000 [15:06:04<13:55:59, 11.67s/it]
                                                          
{'loss': 2.4225, 'grad_norm': 4.384992599487305, 'learning_rate': 2.1293408807203947e-05, 'epoch': 0.05}

 57%|█████▋    | 5700/10000 [15:06:04<13:55:59, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7726314663887024, dino_loss: 0.703125, depth_loss: 0.05111174285411835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.778303325176239, dino_loss: 0.6484375, depth_loss: 0.05410846695303917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5701/10000 [15:06:16<13:55:15, 11.66s/it]
                                                          
{'loss': 1.9324, 'grad_norm': 2.3552584648132324, 'learning_rate': 2.1285233032750103e-05, 'epoch': 0.05}

 57%|█████▋    | 5701/10000 [15:06:16<13:55:15, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9009708166122437, dino_loss: 0.70703125, depth_loss: 0.06807604432106018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8964298963546753, dino_loss: 0.640625, depth_loss: 0.05625627934932709, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5702/10000 [15:06:27<13:49:17, 11.58s/it]
                                                          
{'loss': 2.0098, 'grad_norm': 2.543139696121216, 'learning_rate': 2.127705766453759e-05, 'epoch': 0.05}

 57%|█████▋    | 5702/10000 [15:06:27<13:49:17, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0488195419311523, dino_loss: 0.70703125, depth_loss: 0.07220406830310822, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9406000375747681, dino_loss: 0.6953125, depth_loss: 0.05350770056247711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5703/10000 [15:06:38<13:40:48, 11.46s/it]
                                                          
{'loss': 2.2606, 'grad_norm': 7.3154168128967285, 'learning_rate': 2.126888270346045e-05, 'epoch': 0.05}

 57%|█████▋    | 5703/10000 [15:06:38<13:40:48, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.082358479499817, dino_loss: 0.64453125, depth_loss: 0.061960477381944656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6694361567497253, dino_loss: 0.7265625, depth_loss: 0.06043817847967148, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5704/10000 [15:06:50<13:46:59, 11.55s/it]
                                                          
{'loss': 2.2727, 'grad_norm': 2.7986252307891846, 'learning_rate': 2.126070815041269e-05, 'epoch': 0.05}

 57%|█████▋    | 5704/10000 [15:06:50<13:46:59, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9259588718414307, dino_loss: 0.6953125, depth_loss: 0.060344260185956955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.888896644115448, dino_loss: 0.71484375, depth_loss: 0.056320153176784515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5705/10000 [15:07:02<13:47:59, 11.57s/it]
                                                          
{'loss': 2.4881, 'grad_norm': 3.2764103412628174, 'learning_rate': 2.1252534006288264e-05, 'epoch': 0.05}

 57%|█████▋    | 5705/10000 [15:07:02<13:47:59, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7733460068702698, dino_loss: 0.68359375, depth_loss: 0.05432796850800514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9222777485847473, dino_loss: 0.65625, depth_loss: 0.0658983588218689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5706/10000 [15:07:14<14:01:21, 11.76s/it]
                                                          
{'loss': 2.2967, 'grad_norm': 3.344090223312378, 'learning_rate': 2.1244360271981073e-05, 'epoch': 0.05}

 57%|█████▋    | 5706/10000 [15:07:14<14:01:21, 11.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7080683708190918, dino_loss: 0.67578125, depth_loss: 0.05262986570596695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6846271753311157, dino_loss: 0.6328125, depth_loss: 0.05634847655892372, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5707/10000 [15:07:25<13:52:47, 11.64s/it]
                                                          
{'loss': 1.563, 'grad_norm': 2.422438621520996, 'learning_rate': 2.1236186948385007e-05, 'epoch': 0.05}

 57%|█████▋    | 5707/10000 [15:07:25<13:52:47, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7997742891311646, dino_loss: 0.65625, depth_loss: 0.04845975339412689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7213935852050781, dino_loss: 0.61328125, depth_loss: 0.05711408331990242, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5708/10000 [15:07:37<13:58:24, 11.72s/it]
                                                          
{'loss': 1.7627, 'grad_norm': 4.19499397277832, 'learning_rate': 2.1228014036393877e-05, 'epoch': 0.05}

 57%|█████▋    | 5708/10000 [15:07:37<13:58:24, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9652531147003174, dino_loss: 0.66015625, depth_loss: 0.07959052920341492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.6328824162483215, dino_loss: 0.625, depth_loss: 0.04622388631105423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5709/10000 [15:07:49<13:54:15, 11.67s/it]
                                                          
{'loss': 1.859, 'grad_norm': 4.089723110198975, 'learning_rate': 2.1219841536901465e-05, 'epoch': 0.05}

 57%|█████▋    | 5709/10000 [15:07:49<13:54:15, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6464636325836182, dino_loss: 0.52734375, depth_loss: 0.03126419708132744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8676856756210327, dino_loss: 0.66796875, depth_loss: 0.06224289536476135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5710/10000 [15:08:00<13:46:48, 11.56s/it]
                                                          
{'loss': 1.8218, 'grad_norm': 3.1726179122924805, 'learning_rate': 2.1211669450801493e-05, 'epoch': 0.05}

 57%|█████▋    | 5710/10000 [15:08:00<13:46:48, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7544686198234558, dino_loss: 0.69140625, depth_loss: 0.07025042921304703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8939626216888428, dino_loss: 0.69921875, depth_loss: 0.059221796691417694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5711/10000 [15:08:12<13:45:13, 11.54s/it]
                                                          
{'loss': 1.9431, 'grad_norm': 4.537609100341797, 'learning_rate': 2.120349777898766e-05, 'epoch': 0.05}

 57%|█████▋    | 5711/10000 [15:08:12<13:45:13, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9745840430259705, dino_loss: 0.71484375, depth_loss: 0.07472222298383713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5947205424308777, dino_loss: 0.625, depth_loss: 0.05037463456392288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5712/10000 [15:08:23<13:44:58, 11.54s/it]
                                                          
{'loss': 2.1163, 'grad_norm': 8.080046653747559, 'learning_rate': 2.119532652235359e-05, 'epoch': 0.05}

 57%|█████▋    | 5712/10000 [15:08:23<13:44:58, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7705000638961792, dino_loss: 0.66796875, depth_loss: 0.051667239516973495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9978379011154175, dino_loss: 0.6796875, depth_loss: 0.08206741511821747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5713/10000 [15:08:35<13:42:50, 11.52s/it]
                                                          
{'loss': 2.1965, 'grad_norm': 3.948796033859253, 'learning_rate': 2.11871556817929e-05, 'epoch': 0.05}

 57%|█████▋    | 5713/10000 [15:08:35<13:42:50, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8847359418869019, dino_loss: 0.67578125, depth_loss: 0.06793715804815292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7194576859474182, dino_loss: 0.5859375, depth_loss: 0.06113573908805847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5714/10000 [15:08:46<13:42:17, 11.51s/it]
                                                          
{'loss': 1.8804, 'grad_norm': 2.271238327026367, 'learning_rate': 2.1178985258199133e-05, 'epoch': 0.05}

 57%|█████▋    | 5714/10000 [15:08:46<13:42:17, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8710603713989258, dino_loss: 0.6953125, depth_loss: 0.06666052341461182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9042911529541016, dino_loss: 0.68359375, depth_loss: 0.07182274758815765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5715/10000 [15:08:58<13:56:59, 11.72s/it]
                                                          
{'loss': 2.6215, 'grad_norm': 2.4457314014434814, 'learning_rate': 2.117081525246579e-05, 'epoch': 0.05}

 57%|█████▋    | 5715/10000 [15:08:58<13:56:59, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.7492235898971558, dino_loss: 0.65625, depth_loss: 0.053215142339468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.916791558265686, dino_loss: 0.70703125, depth_loss: 0.07065898180007935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5716/10000 [15:09:12<14:32:07, 12.21s/it]
                                                          
{'loss': 2.2596, 'grad_norm': 4.196275234222412, 'learning_rate': 2.1162645665486332e-05, 'epoch': 0.05}

 57%|█████▋    | 5716/10000 [15:09:12<14:32:07, 12.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8532078266143799, dino_loss: 0.72265625, depth_loss: 0.07685564458370209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9360334873199463, dino_loss: 0.6875, depth_loss: 0.08587566763162613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5717/10000 [15:09:23<14:12:01, 11.94s/it]
                                                          
{'loss': 2.2903, 'grad_norm': 4.620303153991699, 'learning_rate': 2.115447649815418e-05, 'epoch': 0.05}

 57%|█████▋    | 5717/10000 [15:09:23<14:12:01, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 1.0919468402862549, dino_loss: 0.6640625, depth_loss: 0.05687933415174484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9736969470977783, dino_loss: 0.703125, depth_loss: 0.06714540719985962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5718/10000 [15:09:34<13:56:09, 11.72s/it]
                                                          
{'loss': 2.2379, 'grad_norm': 3.8896591663360596, 'learning_rate': 2.1146307751362694e-05, 'epoch': 0.05}

 57%|█████▋    | 5718/10000 [15:09:34<13:56:09, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9220535159111023, dino_loss: 0.6796875, depth_loss: 0.05835200846195221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8277227878570557, dino_loss: 0.66015625, depth_loss: 0.05233634263277054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5719/10000 [15:09:45<13:43:45, 11.55s/it]
                                                          
{'loss': 2.2441, 'grad_norm': 2.3688220977783203, 'learning_rate': 2.11381394260052e-05, 'epoch': 0.05}

 57%|█████▋    | 5719/10000 [15:09:45<13:43:45, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7483921647071838, dino_loss: 0.6171875, depth_loss: 0.054448679089546204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7467653751373291, dino_loss: 0.69921875, depth_loss: 0.06730537116527557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5720/10000 [15:09:57<13:42:05, 11.52s/it]
                                                          
{'loss': 2.0645, 'grad_norm': 2.6962215900421143, 'learning_rate': 2.1129971522974967e-05, 'epoch': 0.05}

 57%|█████▋    | 5720/10000 [15:09:57<13:42:05, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7171405553817749, dino_loss: 0.640625, depth_loss: 0.058447372168302536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9602663516998291, dino_loss: 0.68359375, depth_loss: 0.051109448075294495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5721/10000 [15:10:08<13:45:07, 11.57s/it]
                                                          
{'loss': 2.2436, 'grad_norm': 3.9879026412963867, 'learning_rate': 2.1121804043165232e-05, 'epoch': 0.05}

 57%|█████▋    | 5721/10000 [15:10:08<13:45:07, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8872905969619751, dino_loss: 0.6640625, depth_loss: 0.06906473636627197, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8785169720649719, dino_loss: 0.66796875, depth_loss: 0.057490274310112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5722/10000 [15:10:20<13:48:15, 11.62s/it]
                                                          
{'loss': 2.2942, 'grad_norm': 2.8724024295806885, 'learning_rate': 2.1113636987469183e-05, 'epoch': 0.05}

 57%|█████▋    | 5722/10000 [15:10:20<13:48:15, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8810059428215027, dino_loss: 0.69921875, depth_loss: 0.05553337186574936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8675320148468018, dino_loss: 0.71484375, depth_loss: 0.0725555419921875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5723/10000 [15:10:32<13:45:24, 11.58s/it]
                                                          
{'loss': 2.3891, 'grad_norm': 2.387303590774536, 'learning_rate': 2.1105470356779948e-05, 'epoch': 0.05}

 57%|█████▋    | 5723/10000 [15:10:32<13:45:24, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8014853000640869, dino_loss: 0.70703125, depth_loss: 0.05653688311576843, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8455012440681458, dino_loss: 0.6796875, depth_loss: 0.049522120505571365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5724/10000 [15:10:44<13:51:48, 11.67s/it]
                                                          
{'loss': 2.3703, 'grad_norm': 3.5945045948028564, 'learning_rate': 2.1097304151990616e-05, 'epoch': 0.05}

 57%|█████▋    | 5724/10000 [15:10:44<13:51:48, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8891870975494385, dino_loss: 0.72265625, depth_loss: 0.05543678253889084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0368340015411377, dino_loss: 0.72265625, depth_loss: 0.06525114923715591, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5725/10000 [15:10:55<13:39:50, 11.51s/it]
                                                          
{'loss': 2.4304, 'grad_norm': 2.4941048622131348, 'learning_rate': 2.1089138373994223e-05, 'epoch': 0.05}

 57%|█████▋    | 5725/10000 [15:10:55<13:39:50, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9437781572341919, dino_loss: 0.69921875, depth_loss: 0.06439824402332306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6265939474105835, dino_loss: 0.54296875, depth_loss: 0.04978654533624649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5726/10000 [15:11:06<13:43:25, 11.56s/it]
                                                          
{'loss': 1.7779, 'grad_norm': 2.9465620517730713, 'learning_rate': 2.1080973023683793e-05, 'epoch': 0.05}

 57%|█████▋    | 5726/10000 [15:11:06<13:43:25, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9172147512435913, dino_loss: 0.6796875, depth_loss: 0.05702813342213631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6730003356933594, dino_loss: 0.64453125, depth_loss: 0.059534575790166855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5727/10000 [15:11:18<13:48:45, 11.64s/it]
                                                          
{'loss': 2.2751, 'grad_norm': 4.768709182739258, 'learning_rate': 2.107280810195226e-05, 'epoch': 0.05}

 57%|█████▋    | 5727/10000 [15:11:18<13:48:45, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.702462911605835, dino_loss: 0.71875, depth_loss: 0.05088025704026222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9854683876037598, dino_loss: 0.66796875, depth_loss: 0.06232915073633194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5728/10000 [15:11:31<14:07:11, 11.90s/it]
                                                          
{'loss': 2.4356, 'grad_norm': 8.009357452392578, 'learning_rate': 2.106464360969253e-05, 'epoch': 0.05}

 57%|█████▋    | 5728/10000 [15:11:31<14:07:11, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7542085647583008, dino_loss: 0.71875, depth_loss: 0.07101212441921234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8436707258224487, dino_loss: 0.71875, depth_loss: 0.057993195950984955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5729/10000 [15:11:42<14:00:39, 11.81s/it]
                                                          
{'loss': 2.3776, 'grad_norm': 3.229539394378662, 'learning_rate': 2.1056479547797454e-05, 'epoch': 0.05}

 57%|█████▋    | 5729/10000 [15:11:42<14:00:39, 11.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7851484417915344, dino_loss: 0.66796875, depth_loss: 0.04666069149971008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8331797122955322, dino_loss: 0.70703125, depth_loss: 0.06921550631523132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5730/10000 [15:11:54<13:55:31, 11.74s/it]
                                                          
{'loss': 1.5572, 'grad_norm': 2.691683530807495, 'learning_rate': 2.1048315917159846e-05, 'epoch': 0.05}

 57%|█████▋    | 5730/10000 [15:11:54<13:55:31, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.843892514705658, dino_loss: 0.73828125, depth_loss: 0.06337253004312515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.856813907623291, dino_loss: 0.70703125, depth_loss: 0.043459467589855194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5731/10000 [15:12:05<13:46:14, 11.61s/it]
                                                          
{'loss': 2.0184, 'grad_norm': 2.153756618499756, 'learning_rate': 2.1040152718672457e-05, 'epoch': 0.05}

 57%|█████▋    | 5731/10000 [15:12:05<13:46:14, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9984176754951477, dino_loss: 0.7265625, depth_loss: 0.061025895178318024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.454150527715683, dino_loss: 0.64453125, depth_loss: 0.047290291637182236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5732/10000 [15:12:16<13:39:24, 11.52s/it]
                                                          
{'loss': 1.817, 'grad_norm': 2.7990493774414062, 'learning_rate': 2.1031989953228027e-05, 'epoch': 0.05}

 57%|█████▋    | 5732/10000 [15:12:16<13:39:24, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8353952169418335, dino_loss: 0.66015625, depth_loss: 0.05097649246454239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8081265687942505, dino_loss: 0.640625, depth_loss: 0.05555248260498047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5733/10000 [15:12:28<13:47:00, 11.63s/it]
                                                          
{'loss': 2.2029, 'grad_norm': 3.0611777305603027, 'learning_rate': 2.1023827621719206e-05, 'epoch': 0.05}

 57%|█████▋    | 5733/10000 [15:12:28<13:47:00, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8471003770828247, dino_loss: 0.6796875, depth_loss: 0.08197688311338425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7069159746170044, dino_loss: 0.64453125, depth_loss: 0.05408673360943794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5734/10000 [15:12:40<13:56:48, 11.77s/it]
                                                          
{'loss': 2.0954, 'grad_norm': 3.4464073181152344, 'learning_rate': 2.101566572503862e-05, 'epoch': 0.05}

 57%|█████▋    | 5734/10000 [15:12:40<13:56:48, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8660975694656372, dino_loss: 0.734375, depth_loss: 0.05981538072228432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6447157263755798, dino_loss: 0.6328125, depth_loss: 0.06019381806254387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5735/10000 [15:12:52<13:43:05, 11.58s/it]
                                                          
{'loss': 1.8613, 'grad_norm': 3.725468397140503, 'learning_rate': 2.100750426407884e-05, 'epoch': 0.05}

 57%|█████▋    | 5735/10000 [15:12:52<13:43:05, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6651871204376221, dino_loss: 0.6328125, depth_loss: 0.05294591188430786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9314707517623901, dino_loss: 0.6953125, depth_loss: 0.058104507625103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5736/10000 [15:13:03<13:46:07, 11.62s/it]
                                                          
{'loss': 1.8421, 'grad_norm': 4.365272521972656, 'learning_rate': 2.0999343239732393e-05, 'epoch': 0.05}

 57%|█████▋    | 5736/10000 [15:13:03<13:46:07, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7735053896903992, dino_loss: 0.6875, depth_loss: 0.05181395262479782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9320919513702393, dino_loss: 0.6953125, depth_loss: 0.0696275383234024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5737/10000 [15:13:15<13:38:06, 11.51s/it]
                                                          
{'loss': 2.0623, 'grad_norm': 2.153270721435547, 'learning_rate': 2.0991182652891746e-05, 'epoch': 0.05}

 57%|█████▋    | 5737/10000 [15:13:15<13:38:06, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8433871269226074, dino_loss: 0.65625, depth_loss: 0.06357372552156448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8223164081573486, dino_loss: 0.66796875, depth_loss: 0.05566667020320892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5738/10000 [15:13:26<13:29:24, 11.39s/it]
                                                          
{'loss': 1.7434, 'grad_norm': 3.673583507537842, 'learning_rate': 2.098302250444934e-05, 'epoch': 0.05}

 57%|█████▋    | 5738/10000 [15:13:26<13:29:24, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.767609715461731, dino_loss: 0.65234375, depth_loss: 0.05266127735376358, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9253759384155273, dino_loss: 0.68359375, depth_loss: 0.05456177890300751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5739/10000 [15:13:38<13:40:56, 11.56s/it]
                                                          
{'loss': 1.9941, 'grad_norm': 2.5302672386169434, 'learning_rate': 2.0974862795297555e-05, 'epoch': 0.05}

 57%|█████▋    | 5739/10000 [15:13:38<13:40:56, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8036328554153442, dino_loss: 0.640625, depth_loss: 0.05446019768714905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5792582035064697, dino_loss: 0.6640625, depth_loss: 0.061936475336551666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5740/10000 [15:13:50<13:48:12, 11.66s/it]
                                                          
{'loss': 1.9892, 'grad_norm': 3.54522442817688, 'learning_rate': 2.0966703526328728e-05, 'epoch': 0.05}

 57%|█████▋    | 5740/10000 [15:13:50<13:48:12, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6376831531524658, dino_loss: 0.6484375, depth_loss: 0.07404354959726334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9409390091896057, dino_loss: 0.67578125, depth_loss: 0.05581877380609512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5741/10000 [15:14:01<13:45:32, 11.63s/it]
                                                          
{'loss': 1.7298, 'grad_norm': 2.0769031047821045, 'learning_rate': 2.095854469843513e-05, 'epoch': 0.05}

 57%|█████▋    | 5741/10000 [15:14:01<13:45:32, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8613337874412537, dino_loss: 0.65234375, depth_loss: 0.0506909042596817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8688107132911682, dino_loss: 0.6015625, depth_loss: 0.040323566645383835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5742/10000 [15:14:13<13:48:18, 11.67s/it]
                                                          
{'loss': 1.81, 'grad_norm': 5.7586798667907715, 'learning_rate': 2.0950386312509015e-05, 'epoch': 0.05}

 57%|█████▋    | 5742/10000 [15:14:13<13:48:18, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7155700922012329, dino_loss: 0.70703125, depth_loss: 0.05222702398896217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8823996782302856, dino_loss: 0.70703125, depth_loss: 0.05859559029340744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5743/10000 [15:14:25<13:50:26, 11.70s/it]
                                                          
{'loss': 2.0807, 'grad_norm': 4.556309700012207, 'learning_rate': 2.0942228369442562e-05, 'epoch': 0.05}

 57%|█████▋    | 5743/10000 [15:14:25<13:50:26, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9289342761039734, dino_loss: 0.6953125, depth_loss: 0.060689203441143036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9087543487548828, dino_loss: 0.6796875, depth_loss: 0.05824365094304085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5744/10000 [15:14:36<13:48:22, 11.68s/it]
                                                          
{'loss': 2.0819, 'grad_norm': 9.846391677856445, 'learning_rate': 2.0934070870127912e-05, 'epoch': 0.05}

 57%|█████▋    | 5744/10000 [15:14:36<13:48:22, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8781481981277466, dino_loss: 0.63671875, depth_loss: 0.06746286153793335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8535478115081787, dino_loss: 0.6953125, depth_loss: 0.05676612630486488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5745/10000 [15:14:48<13:44:12, 11.62s/it]
                                                          
{'loss': 2.0103, 'grad_norm': 3.2079882621765137, 'learning_rate': 2.0925913815457153e-05, 'epoch': 0.05}

 57%|█████▋    | 5745/10000 [15:14:48<13:44:12, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7804194688796997, dino_loss: 0.73828125, depth_loss: 0.069667287170887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1252338886260986, dino_loss: 0.6484375, depth_loss: 0.05418960005044937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5746/10000 [15:14:59<13:47:03, 11.67s/it]
                                                          
{'loss': 2.5841, 'grad_norm': 3.687513589859009, 'learning_rate': 2.0917757206322346e-05, 'epoch': 0.05}

 57%|█████▋    | 5746/10000 [15:14:59<13:47:03, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8469619154930115, dino_loss: 0.69921875, depth_loss: 0.0604349821805954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9135722517967224, dino_loss: 0.73046875, depth_loss: 0.061928026378154755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5747/10000 [15:15:12<14:06:39, 11.94s/it]
                                                          
{'loss': 2.3189, 'grad_norm': 2.4367525577545166, 'learning_rate': 2.090960104361547e-05, 'epoch': 0.05}

 57%|█████▋    | 5747/10000 [15:15:12<14:06:39, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8800233602523804, dino_loss: 0.61328125, depth_loss: 0.04998242110013962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7323141098022461, dino_loss: 0.67578125, depth_loss: 0.04497072845697403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5748/10000 [15:15:24<14:05:53, 11.94s/it]
                                                          
{'loss': 2.1251, 'grad_norm': 3.3398540019989014, 'learning_rate': 2.0901445328228475e-05, 'epoch': 0.05}

 57%|█████▋    | 5748/10000 [15:15:24<14:05:53, 11.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8234913945198059, dino_loss: 0.65234375, depth_loss: 0.06375304609537125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7344400882720947, dino_loss: 0.6484375, depth_loss: 0.059219617396593094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▋    | 5749/10000 [15:15:35<13:47:36, 11.68s/it]
                                                          
{'loss': 2.1113, 'grad_norm': 3.4748549461364746, 'learning_rate': 2.0893290061053255e-05, 'epoch': 0.05}

 57%|█████▋    | 5749/10000 [15:15:35<13:47:36, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7030667066574097, dino_loss: 0.73046875, depth_loss: 0.06017809733748436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9555585384368896, dino_loss: 0.6640625, depth_loss: 0.07542955875396729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 57%|█████▊    | 5750/10000 [15:15:47<13:51:30, 11.74s/it]
                                                          
{'loss': 2.031, 'grad_norm': 4.0430588722229, 'learning_rate': 2.088513524298165e-05, 'epoch': 0.05}

 57%|█████▊    | 5750/10000 [15:15:47<13:51:30, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8908487558364868, dino_loss: 0.6875, depth_loss: 0.07384409010410309, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9768632054328918, dino_loss: 0.69921875, depth_loss: 0.06399194896221161, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5751/10000 [15:15:58<13:42:01, 11.61s/it]
                                                          
{'loss': 2.8679, 'grad_norm': 2.5692734718322754, 'learning_rate': 2.0876980874905477e-05, 'epoch': 0.05}

 58%|█████▊    | 5751/10000 [15:15:58<13:42:01, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6398465633392334, dino_loss: 0.6328125, depth_loss: 0.05281631648540497, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6352572441101074, dino_loss: 0.66015625, depth_loss: 0.0621071457862854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5752/10000 [15:16:09<13:31:34, 11.46s/it]
                                                          
{'loss': 1.5239, 'grad_norm': 3.496025323867798, 'learning_rate': 2.086882695771648e-05, 'epoch': 0.05}

 58%|█████▊    | 5752/10000 [15:16:09<13:31:34, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0698766708374023, dino_loss: 0.6953125, depth_loss: 0.055731579661369324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 2
the number of masks: 8
the number of masks: 8
seg_loss: 0.6537484526634216, dino_loss: 0.65234375, depth_loss: 0.06821388006210327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5753/10000 [15:16:21<13:36:33, 11.54s/it]
                                                          
{'loss': 1.985, 'grad_norm': 3.014814615249634, 'learning_rate': 2.0860673492306355e-05, 'epoch': 0.05}

 58%|█████▊    | 5753/10000 [15:16:21<13:36:33, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8183214664459229, dino_loss: 0.6796875, depth_loss: 0.07004771381616592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9206936955451965, dino_loss: 0.67578125, depth_loss: 0.0578160434961319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5754/10000 [15:16:32<13:30:52, 11.46s/it]
                                                          
{'loss': 1.9626, 'grad_norm': 4.4749064445495605, 'learning_rate': 2.085252047956675e-05, 'epoch': 0.05}

 58%|█████▊    | 5754/10000 [15:16:32<13:30:52, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7877712249755859, dino_loss: 0.62890625, depth_loss: 0.058740053325891495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7304486036300659, dino_loss: 0.68359375, depth_loss: 0.045261796563863754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5755/10000 [15:16:44<13:33:21, 11.50s/it]
                                                          
{'loss': 1.7009, 'grad_norm': 3.620128631591797, 'learning_rate': 2.0844367920389273e-05, 'epoch': 0.05}

 58%|█████▊    | 5755/10000 [15:16:44<13:33:21, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7316088676452637, dino_loss: 0.6953125, depth_loss: 0.06011534109711647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8601068258285522, dino_loss: 0.6484375, depth_loss: 0.04484155774116516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5756/10000 [15:16:57<13:58:34, 11.86s/it]
                                                          
{'loss': 2.1961, 'grad_norm': 5.559382915496826, 'learning_rate': 2.083621581566547e-05, 'epoch': 0.05}

 58%|█████▊    | 5756/10000 [15:16:57<13:58:34, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9440805912017822, dino_loss: 0.671875, depth_loss: 0.05843261629343033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6919710636138916, dino_loss: 0.734375, depth_loss: 0.07573319226503372, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5757/10000 [15:17:09<14:02:08, 11.91s/it]
                                                          
{'loss': 2.4679, 'grad_norm': 4.862939834594727, 'learning_rate': 2.0828064166286838e-05, 'epoch': 0.05}

 58%|█████▊    | 5757/10000 [15:17:09<14:02:08, 11.91s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5260193347930908, dino_loss: 0.640625, depth_loss: 0.05224157124757767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9461688995361328, dino_loss: 0.6875, depth_loss: 0.06627826392650604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5758/10000 [15:17:21<14:02:53, 11.92s/it]
                                                          
{'loss': 2.2544, 'grad_norm': 2.2741801738739014, 'learning_rate': 2.0819912973144843e-05, 'epoch': 0.05}

 58%|█████▊    | 5758/10000 [15:17:21<14:02:53, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7746852040290833, dino_loss: 0.69140625, depth_loss: 0.08279060572385788, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7499033212661743, dino_loss: 0.64453125, depth_loss: 0.061342306435108185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5759/10000 [15:17:32<13:47:35, 11.71s/it]
                                                          
{'loss': 1.9308, 'grad_norm': 3.7523577213287354, 'learning_rate': 2.0811762237130884e-05, 'epoch': 0.05}

 58%|█████▊    | 5759/10000 [15:17:32<13:47:35, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8831011056900024, dino_loss: 0.671875, depth_loss: 0.07057131081819534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8991848230361938, dino_loss: 0.671875, depth_loss: 0.06267829239368439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5760/10000 [15:17:43<13:35:53, 11.55s/it]
                                                          
{'loss': 2.0909, 'grad_norm': 4.9186201095581055, 'learning_rate': 2.080361195913631e-05, 'epoch': 0.05}

 58%|█████▊    | 5760/10000 [15:17:43<13:35:53, 11.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7802592515945435, dino_loss: 0.6796875, depth_loss: 0.06867421418428421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9575036764144897, dino_loss: 0.671875, depth_loss: 0.07262150943279266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5761/10000 [15:17:54<13:32:46, 11.50s/it]
                                                          
{'loss': 1.8533, 'grad_norm': 3.6369097232818604, 'learning_rate': 2.0795462140052423e-05, 'epoch': 0.05}

 58%|█████▊    | 5761/10000 [15:17:54<13:32:46, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7576133012771606, dino_loss: 0.65234375, depth_loss: 0.05896027386188507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7844415307044983, dino_loss: 0.6875, depth_loss: 0.06290379166603088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5762/10000 [15:18:06<13:34:23, 11.53s/it]
                                                          
{'loss': 1.9432, 'grad_norm': 2.663358449935913, 'learning_rate': 2.0787312780770467e-05, 'epoch': 0.05}

 58%|█████▊    | 5762/10000 [15:18:06<13:34:23, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.967647910118103, dino_loss: 0.69921875, depth_loss: 0.06438610702753067, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7911915183067322, dino_loss: 0.640625, depth_loss: 0.057506877928972244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5763/10000 [15:18:18<13:39:45, 11.61s/it]
                                                          
{'loss': 2.1861, 'grad_norm': 2.66302490234375, 'learning_rate': 2.0779163882181655e-05, 'epoch': 0.05}

 58%|█████▊    | 5763/10000 [15:18:18<13:39:45, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.893977701663971, dino_loss: 0.765625, depth_loss: 0.05865655094385147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9248660802841187, dino_loss: 0.703125, depth_loss: 0.0691506564617157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5764/10000 [15:18:30<13:46:55, 11.71s/it]
                                                          
{'loss': 2.6237, 'grad_norm': 3.144129753112793, 'learning_rate': 2.0771015445177135e-05, 'epoch': 0.05}

 58%|█████▊    | 5764/10000 [15:18:30<13:46:55, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0714781284332275, dino_loss: 0.69921875, depth_loss: 0.06604036688804626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9000447988510132, dino_loss: 0.70703125, depth_loss: 0.0689183920621872, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5765/10000 [15:18:41<13:44:59, 11.69s/it]
                                                          
{'loss': 2.0718, 'grad_norm': 4.08966588973999, 'learning_rate': 2.0762867470648013e-05, 'epoch': 0.05}

 58%|█████▊    | 5765/10000 [15:18:41<13:44:59, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.7401555776596069, dino_loss: 0.62890625, depth_loss: 0.06563087552785873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9189707040786743, dino_loss: 0.6796875, depth_loss: 0.0664602741599083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5766/10000 [15:18:53<13:36:36, 11.57s/it]
                                                          
{'loss': 2.0893, 'grad_norm': 2.296562671661377, 'learning_rate': 2.0754719959485324e-05, 'epoch': 0.05}

 58%|█████▊    | 5766/10000 [15:18:53<13:36:36, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7625130414962769, dino_loss: 0.65234375, depth_loss: 0.04897044226527214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.919376015663147, dino_loss: 0.68359375, depth_loss: 0.0684267207980156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5767/10000 [15:19:04<13:38:43, 11.60s/it]
                                                          
{'loss': 2.1618, 'grad_norm': 4.296117782592773, 'learning_rate': 2.0746572912580086e-05, 'epoch': 0.05}

 58%|█████▊    | 5767/10000 [15:19:04<13:38:43, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.908327579498291, dino_loss: 0.7421875, depth_loss: 0.06875310838222504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8126128911972046, dino_loss: 0.69921875, depth_loss: 0.07076150178909302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5768/10000 [15:19:16<13:32:29, 11.52s/it]
                                                          
{'loss': 2.2792, 'grad_norm': 2.312896490097046, 'learning_rate': 2.073842633082324e-05, 'epoch': 0.05}

 58%|█████▊    | 5768/10000 [15:19:16<13:32:29, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6745679974555969, dino_loss: 0.65234375, depth_loss: 0.05911662429571152, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9483258724212646, dino_loss: 0.7421875, depth_loss: 0.07407249510288239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5769/10000 [15:19:28<13:45:24, 11.71s/it]
                                                          
{'loss': 2.3211, 'grad_norm': 1.9854369163513184, 'learning_rate': 2.0730280215105676e-05, 'epoch': 0.05}

 58%|█████▊    | 5769/10000 [15:19:28<13:45:24, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8758012652397156, dino_loss: 0.66015625, depth_loss: 0.04074877128005028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7474550604820251, dino_loss: 0.6328125, depth_loss: 0.044640228152275085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5770/10000 [15:19:40<14:05:35, 11.99s/it]
                                                          
{'loss': 2.2889, 'grad_norm': 2.8688759803771973, 'learning_rate': 2.072213456631825e-05, 'epoch': 0.05}

 58%|█████▊    | 5770/10000 [15:19:40<14:05:35, 11.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7828158140182495, dino_loss: 0.64453125, depth_loss: 0.05851757526397705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7034058570861816, dino_loss: 0.68359375, depth_loss: 0.059978801757097244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5771/10000 [15:19:52<13:59:45, 11.91s/it]
                                                          
{'loss': 2.0285, 'grad_norm': 3.5189671516418457, 'learning_rate': 2.071398938535176e-05, 'epoch': 0.05}

 58%|█████▊    | 5771/10000 [15:19:52<13:59:45, 11.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8527250289916992, dino_loss: 0.67578125, depth_loss: 0.06329956650733948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8757586479187012, dino_loss: 0.74609375, depth_loss: 0.07196342945098877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5772/10000 [15:20:04<13:52:50, 11.82s/it]
                                                          
{'loss': 2.2916, 'grad_norm': 4.867355823516846, 'learning_rate': 2.0705844673096945e-05, 'epoch': 0.05}

 58%|█████▊    | 5772/10000 [15:20:04<13:52:50, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8434675931930542, dino_loss: 0.703125, depth_loss: 0.07237444818019867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.73382568359375, dino_loss: 0.65625, depth_loss: 0.06602258235216141, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5773/10000 [15:20:15<13:40:35, 11.65s/it]
                                                          
{'loss': 1.8427, 'grad_norm': 3.417435646057129, 'learning_rate': 2.0697700430444505e-05, 'epoch': 0.05}

 58%|█████▊    | 5773/10000 [15:20:15<13:40:35, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8361711502075195, dino_loss: 0.67578125, depth_loss: 0.051581934094429016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9666885733604431, dino_loss: 0.640625, depth_loss: 0.07025419175624847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5774/10000 [15:20:27<13:42:04, 11.67s/it]
                                                          
{'loss': 2.0742, 'grad_norm': 3.3530077934265137, 'learning_rate': 2.0689556658285074e-05, 'epoch': 0.05}

 58%|█████▊    | 5774/10000 [15:20:27<13:42:04, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9886465072631836, dino_loss: 0.6640625, depth_loss: 0.07023762166500092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9528080224990845, dino_loss: 0.6875, depth_loss: 0.07427321374416351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5775/10000 [15:20:39<13:43:14, 11.69s/it]
                                                          
{'loss': 2.2715, 'grad_norm': 3.010962963104248, 'learning_rate': 2.068141335750925e-05, 'epoch': 0.05}

 58%|█████▊    | 5775/10000 [15:20:39<13:43:14, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.014091968536377, dino_loss: 0.70703125, depth_loss: 0.05449530854821205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8140328526496887, dino_loss: 0.64453125, depth_loss: 0.0559261217713356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5776/10000 [15:20:51<13:52:23, 11.82s/it]
                                                          
{'loss': 2.2479, 'grad_norm': 2.51218581199646, 'learning_rate': 2.0673270529007555e-05, 'epoch': 0.05}

 58%|█████▊    | 5776/10000 [15:20:51<13:52:23, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9344358444213867, dino_loss: 0.69140625, depth_loss: 0.07018832117319107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7980472445487976, dino_loss: 0.66015625, depth_loss: 0.055714331567287445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5777/10000 [15:21:03<13:57:17, 11.90s/it]
                                                          
{'loss': 2.2422, 'grad_norm': 2.1503305435180664, 'learning_rate': 2.0665128173670502e-05, 'epoch': 0.05}

 58%|█████▊    | 5777/10000 [15:21:03<13:57:17, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7440087795257568, dino_loss: 0.609375, depth_loss: 0.05061205103993416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.9387210607528687, dino_loss: 0.6953125, depth_loss: 0.05739699304103851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5778/10000 [15:21:14<13:53:02, 11.84s/it]
                                                          
{'loss': 2.0511, 'grad_norm': 2.9737088680267334, 'learning_rate': 2.065698629238851e-05, 'epoch': 0.05}

 58%|█████▊    | 5778/10000 [15:21:14<13:53:02, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8632123470306396, dino_loss: 0.69921875, depth_loss: 0.06367279589176178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7199559211730957, dino_loss: 0.64453125, depth_loss: 0.06349476426839828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5779/10000 [15:21:26<13:48:03, 11.77s/it]
                                                          
{'loss': 2.0614, 'grad_norm': 4.0703630447387695, 'learning_rate': 2.0648844886051972e-05, 'epoch': 0.05}

 58%|█████▊    | 5779/10000 [15:21:26<13:48:03, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8695909976959229, dino_loss: 0.6953125, depth_loss: 0.06509314477443695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.992087721824646, dino_loss: 0.6796875, depth_loss: 0.07218078523874283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5780/10000 [15:21:37<13:33:24, 11.57s/it]
                                                          
{'loss': 1.933, 'grad_norm': 3.0987277030944824, 'learning_rate': 2.0640703955551212e-05, 'epoch': 0.05}

 58%|█████▊    | 5780/10000 [15:21:37<13:33:24, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7413305044174194, dino_loss: 0.6640625, depth_loss: 0.048621129244565964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8770616054534912, dino_loss: 0.70703125, depth_loss: 0.07000855356454849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5781/10000 [15:21:49<13:33:43, 11.57s/it]
                                                          
{'loss': 1.7556, 'grad_norm': 2.4590249061584473, 'learning_rate': 2.0632563501776516e-05, 'epoch': 0.05}

 58%|█████▊    | 5781/10000 [15:21:49<13:33:43, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8060410022735596, dino_loss: 0.70703125, depth_loss: 0.06581771373748779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6931226253509521, dino_loss: 0.62109375, depth_loss: 0.04931265115737915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5782/10000 [15:22:00<13:34:48, 11.59s/it]
                                                          
{'loss': 1.8581, 'grad_norm': 6.969913959503174, 'learning_rate': 2.0624423525618098e-05, 'epoch': 0.05}

 58%|█████▊    | 5782/10000 [15:22:00<13:34:48, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9250597953796387, dino_loss: 0.65234375, depth_loss: 0.05705198273062706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.084175705909729, dino_loss: 0.67578125, depth_loss: 0.07639168947935104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5783/10000 [15:22:12<13:44:07, 11.73s/it]
                                                          
{'loss': 2.6058, 'grad_norm': 3.179901123046875, 'learning_rate': 2.0616284027966155e-05, 'epoch': 0.05}

 58%|█████▊    | 5783/10000 [15:22:12<13:44:07, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1523371934890747, dino_loss: 0.703125, depth_loss: 0.053375184535980225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7062433958053589, dino_loss: 0.640625, depth_loss: 0.05868910998106003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5784/10000 [15:22:24<13:46:50, 11.77s/it]
                                                          
{'loss': 2.1071, 'grad_norm': 3.7543888092041016, 'learning_rate': 2.06081450097108e-05, 'epoch': 0.05}

 58%|█████▊    | 5784/10000 [15:22:24<13:46:50, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6540313959121704, dino_loss: 0.69140625, depth_loss: 0.05735836923122406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8536543846130371, dino_loss: 0.64453125, depth_loss: 0.042445600032806396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5785/10000 [15:22:36<13:41:33, 11.69s/it]
                                                          
{'loss': 1.8221, 'grad_norm': 2.4502577781677246, 'learning_rate': 2.0600006471742104e-05, 'epoch': 0.05}

 58%|█████▊    | 5785/10000 [15:22:36<13:41:33, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.800090491771698, dino_loss: 0.703125, depth_loss: 0.06564228236675262, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8215038776397705, dino_loss: 0.66796875, depth_loss: 0.05908661335706711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5786/10000 [15:22:48<13:45:43, 11.76s/it]
                                                          
{'loss': 2.2791, 'grad_norm': 3.6263155937194824, 'learning_rate': 2.059186841495008e-05, 'epoch': 0.05}

 58%|█████▊    | 5786/10000 [15:22:48<13:45:43, 11.76s/it]the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.7782930135726929, dino_loss: 0.671875, depth_loss: 0.05431859567761421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.779839038848877, dino_loss: 0.73828125, depth_loss: 0.06439440697431564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5787/10000 [15:22:59<13:36:35, 11.63s/it]
                                                          
{'loss': 1.7573, 'grad_norm': 5.104333400726318, 'learning_rate': 2.0583730840224703e-05, 'epoch': 0.05}

 58%|█████▊    | 5787/10000 [15:22:59<13:36:35, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8723726272583008, dino_loss: 0.69921875, depth_loss: 0.06203458085656166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8050739765167236, dino_loss: 0.640625, depth_loss: 0.052717823535203934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5788/10000 [15:23:11<13:37:52, 11.65s/it]
                                                          
{'loss': 2.0994, 'grad_norm': 3.535855531692505, 'learning_rate': 2.057559374845588e-05, 'epoch': 0.05}

 58%|█████▊    | 5788/10000 [15:23:11<13:37:52, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7470110058784485, dino_loss: 0.6875, depth_loss: 0.058419063687324524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8715735077857971, dino_loss: 0.6875, depth_loss: 0.056085750460624695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5789/10000 [15:23:23<13:44:46, 11.75s/it]
                                                          
{'loss': 2.5143, 'grad_norm': 3.6937255859375, 'learning_rate': 2.056745714053347e-05, 'epoch': 0.05}

 58%|█████▊    | 5789/10000 [15:23:23<13:44:46, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6880574822425842, dino_loss: 0.62890625, depth_loss: 0.058779969811439514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7511856555938721, dino_loss: 0.69140625, depth_loss: 0.051947470754384995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5790/10000 [15:23:35<13:45:44, 11.77s/it]
                                                          
{'loss': 2.1169, 'grad_norm': 2.566901922225952, 'learning_rate': 2.0559321017347285e-05, 'epoch': 0.05}

 58%|█████▊    | 5790/10000 [15:23:35<13:45:44, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7122872471809387, dino_loss: 0.6953125, depth_loss: 0.05857502296566963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7684639096260071, dino_loss: 0.74609375, depth_loss: 0.0635172426700592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5791/10000 [15:23:46<13:35:31, 11.63s/it]
                                                          
{'loss': 2.2463, 'grad_norm': 2.6976611614227295, 'learning_rate': 2.0551185379787076e-05, 'epoch': 0.05}

 58%|█████▊    | 5791/10000 [15:23:46<13:35:31, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8810580968856812, dino_loss: 0.6484375, depth_loss: 0.05630175396800041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.870497465133667, dino_loss: 0.6640625, depth_loss: 0.06227254867553711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5792/10000 [15:23:57<13:27:06, 11.51s/it]
                                                          
{'loss': 2.1595, 'grad_norm': 2.1550776958465576, 'learning_rate': 2.0543050228742548e-05, 'epoch': 0.05}

 58%|█████▊    | 5792/10000 [15:23:57<13:27:06, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9366133213043213, dino_loss: 0.6875, depth_loss: 0.05396579951047897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.872624397277832, dino_loss: 0.66796875, depth_loss: 0.05348850041627884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5793/10000 [15:24:09<13:32:50, 11.59s/it]
                                                          
{'loss': 1.9818, 'grad_norm': 4.498174667358398, 'learning_rate': 2.0534915565103347e-05, 'epoch': 0.05}

 58%|█████▊    | 5793/10000 [15:24:09<13:32:50, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.881574809551239, dino_loss: 0.6953125, depth_loss: 0.053497277200222015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7905347347259521, dino_loss: 0.65625, depth_loss: 0.04436817020177841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5794/10000 [15:24:20<13:26:16, 11.50s/it]
                                                          
{'loss': 1.8165, 'grad_norm': 2.8690185546875, 'learning_rate': 2.0526781389759066e-05, 'epoch': 0.05}

 58%|█████▊    | 5794/10000 [15:24:20<13:26:16, 11.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9218660593032837, dino_loss: 0.7109375, depth_loss: 0.0580168291926384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8678111433982849, dino_loss: 0.71875, depth_loss: 0.08064108341932297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5795/10000 [15:24:32<13:33:06, 11.60s/it]
                                                          
{'loss': 2.4113, 'grad_norm': 3.6539528369903564, 'learning_rate': 2.0518647703599236e-05, 'epoch': 0.05}

 58%|█████▊    | 5795/10000 [15:24:32<13:33:06, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9050438404083252, dino_loss: 0.69921875, depth_loss: 0.05230835825204849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8296440243721008, dino_loss: 0.703125, depth_loss: 0.06071252003312111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5796/10000 [15:24:43<13:19:19, 11.41s/it]
                                                          
{'loss': 1.8938, 'grad_norm': 2.8977773189544678, 'learning_rate': 2.0510514507513368e-05, 'epoch': 0.05}

 58%|█████▊    | 5796/10000 [15:24:43<13:19:19, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7242881059646606, dino_loss: 0.6328125, depth_loss: 0.05551668629050255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7708642482757568, dino_loss: 0.671875, depth_loss: 0.06041795015335083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5797/10000 [15:24:55<13:31:04, 11.58s/it]
                                                          
{'loss': 1.9487, 'grad_norm': 2.2046453952789307, 'learning_rate': 2.050238180239088e-05, 'epoch': 0.05}

 58%|█████▊    | 5797/10000 [15:24:55<13:31:04, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9895905256271362, dino_loss: 0.71875, depth_loss: 0.06068629026412964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.759803056716919, dino_loss: 0.66015625, depth_loss: 0.06495837867259979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5798/10000 [15:25:06<13:28:22, 11.54s/it]
                                                          
{'loss': 2.121, 'grad_norm': 2.3905463218688965, 'learning_rate': 2.0494249589121157e-05, 'epoch': 0.05}

 58%|█████▊    | 5798/10000 [15:25:06<13:28:22, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8922953009605408, dino_loss: 0.703125, depth_loss: 0.07234815508127213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7294703722000122, dino_loss: 0.6640625, depth_loss: 0.04506269842386246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5799/10000 [15:25:18<13:40:35, 11.72s/it]
                                                          
{'loss': 2.5538, 'grad_norm': 3.2178456783294678, 'learning_rate': 2.0486117868593527e-05, 'epoch': 0.05}

 58%|█████▊    | 5799/10000 [15:25:18<13:40:35, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6699260473251343, dino_loss: 0.66796875, depth_loss: 0.07079580426216125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8602198362350464, dino_loss: 0.7109375, depth_loss: 0.0880066454410553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5800/10000 [15:25:29<13:21:12, 11.45s/it]
                                                          
{'loss': 1.883, 'grad_norm': 2.6382107734680176, 'learning_rate': 2.047798664169726e-05, 'epoch': 0.05}

 58%|█████▊    | 5800/10000 [15:25:29<13:21:12, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8672632575035095, dino_loss: 0.69140625, depth_loss: 0.0621819943189621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8203519582748413, dino_loss: 0.67578125, depth_loss: 0.06125554442405701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5801/10000 [15:25:41<13:17:48, 11.40s/it]
                                                          
{'loss': 2.1381, 'grad_norm': 4.266504287719727, 'learning_rate': 2.0469855909321564e-05, 'epoch': 0.05}

 58%|█████▊    | 5801/10000 [15:25:41<13:17:48, 11.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.844204843044281, dino_loss: 0.65234375, depth_loss: 0.08353373408317566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8199574947357178, dino_loss: 0.71484375, depth_loss: 0.05526310205459595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5802/10000 [15:25:52<13:27:28, 11.54s/it]
                                                          
{'loss': 2.1681, 'grad_norm': 5.294132709503174, 'learning_rate': 2.0461725672355623e-05, 'epoch': 0.05}

 58%|█████▊    | 5802/10000 [15:25:52<13:27:28, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.714924693107605, dino_loss: 0.71484375, depth_loss: 0.0501636266708374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.952517032623291, dino_loss: 0.72265625, depth_loss: 0.06869741529226303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5803/10000 [15:26:04<13:32:07, 11.61s/it]
                                                          
{'loss': 2.4958, 'grad_norm': 4.123690128326416, 'learning_rate': 2.0453595931688544e-05, 'epoch': 0.05}

 58%|█████▊    | 5803/10000 [15:26:04<13:32:07, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8444229960441589, dino_loss: 0.62109375, depth_loss: 0.0637846514582634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8935537338256836, dino_loss: 0.67578125, depth_loss: 0.05787917226552963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5804/10000 [15:26:15<13:19:39, 11.43s/it]
                                                          
{'loss': 2.3085, 'grad_norm': 3.9471373558044434, 'learning_rate': 2.0445466688209373e-05, 'epoch': 0.05}

 58%|█████▊    | 5804/10000 [15:26:15<13:19:39, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7131985425949097, dino_loss: 0.66015625, depth_loss: 0.06655044108629227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7347258925437927, dino_loss: 0.61328125, depth_loss: 0.054231803864240646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5805/10000 [15:26:26<13:15:27, 11.38s/it]
                                                          
{'loss': 1.4387, 'grad_norm': 2.925266981124878, 'learning_rate': 2.043733794280712e-05, 'epoch': 0.05}

 58%|█████▊    | 5805/10000 [15:26:26<13:15:27, 11.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7771481275558472, dino_loss: 0.67578125, depth_loss: 0.05897060036659241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9824345111846924, dino_loss: 0.72265625, depth_loss: 0.05329200625419617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5806/10000 [15:26:38<13:10:18, 11.31s/it]
                                                          
{'loss': 2.3023, 'grad_norm': 2.0519025325775146, 'learning_rate': 2.042920969637073e-05, 'epoch': 0.05}

 58%|█████▊    | 5806/10000 [15:26:38<13:10:18, 11.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8284133672714233, dino_loss: 0.7265625, depth_loss: 0.06743870675563812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9071832895278931, dino_loss: 0.671875, depth_loss: 0.07702817022800446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5807/10000 [15:26:49<13:02:07, 11.19s/it]
                                                          
{'loss': 1.9724, 'grad_norm': 6.058498859405518, 'learning_rate': 2.0421081949789097e-05, 'epoch': 0.05}

 58%|█████▊    | 5807/10000 [15:26:49<13:02:07, 11.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6985410451889038, dino_loss: 0.72265625, depth_loss: 0.06558459252119064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6789087057113647, dino_loss: 0.58984375, depth_loss: 0.04773101955652237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5808/10000 [15:27:00<13:06:54, 11.26s/it]
                                                          
{'loss': 1.4181, 'grad_norm': 3.607909917831421, 'learning_rate': 2.0412954703951044e-05, 'epoch': 0.05}

 58%|█████▊    | 5808/10000 [15:27:00<13:06:54, 11.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.802254319190979, dino_loss: 0.640625, depth_loss: 0.056031689047813416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.9793825745582581, dino_loss: 0.68359375, depth_loss: 0.051370859146118164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5809/10000 [15:27:12<13:12:36, 11.35s/it]
                                                          
{'loss': 2.2017, 'grad_norm': 4.994721412658691, 'learning_rate': 2.040482795974538e-05, 'epoch': 0.05}

 58%|█████▊    | 5809/10000 [15:27:12<13:12:36, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8971216678619385, dino_loss: 0.70703125, depth_loss: 0.05202500522136688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0115365982055664, dino_loss: 0.71484375, depth_loss: 0.08668617904186249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5810/10000 [15:27:23<13:12:17, 11.35s/it]
                                                          
{'loss': 2.1389, 'grad_norm': 4.905498504638672, 'learning_rate': 2.0396701718060824e-05, 'epoch': 0.05}

 58%|█████▊    | 5810/10000 [15:27:23<13:12:17, 11.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8480054140090942, dino_loss: 0.671875, depth_loss: 0.060660965740680695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8739548921585083, dino_loss: 0.69140625, depth_loss: 0.05942424386739731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5811/10000 [15:27:35<13:19:32, 11.45s/it]
                                                          
{'loss': 2.1984, 'grad_norm': 2.672398805618286, 'learning_rate': 2.0388575979786044e-05, 'epoch': 0.05}

 58%|█████▊    | 5811/10000 [15:27:35<13:19:32, 11.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0700408220291138, dino_loss: 0.703125, depth_loss: 0.0619637668132782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6861317157745361, dino_loss: 0.66015625, depth_loss: 0.057321567088365555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5812/10000 [15:27:47<13:34:25, 11.67s/it]
                                                          
{'loss': 1.8796, 'grad_norm': 2.6052792072296143, 'learning_rate': 2.038045074580966e-05, 'epoch': 0.05}

 58%|█████▊    | 5812/10000 [15:27:47<13:34:25, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8226605653762817, dino_loss: 0.734375, depth_loss: 0.06668706238269806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7380302548408508, dino_loss: 0.63671875, depth_loss: 0.04295281693339348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5813/10000 [15:27:59<13:39:15, 11.74s/it]
                                                          
{'loss': 2.1861, 'grad_norm': 2.005021572113037, 'learning_rate': 2.037232601702024e-05, 'epoch': 0.05}

 58%|█████▊    | 5813/10000 [15:27:59<13:39:15, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0309748649597168, dino_loss: 0.69921875, depth_loss: 0.07701314985752106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8120264410972595, dino_loss: 0.76171875, depth_loss: 0.07903492450714111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5814/10000 [15:28:10<13:23:33, 11.52s/it]
                                                          
{'loss': 2.0638, 'grad_norm': 2.835474729537964, 'learning_rate': 2.036420179430628e-05, 'epoch': 0.05}

 58%|█████▊    | 5814/10000 [15:28:10<13:23:33, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6845784187316895, dino_loss: 0.63671875, depth_loss: 0.0561530739068985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8376852869987488, dino_loss: 0.68359375, depth_loss: 0.060309067368507385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5815/10000 [15:28:21<13:22:58, 11.51s/it]
                                                          
{'loss': 1.8839, 'grad_norm': 3.09429669380188, 'learning_rate': 2.035607807855625e-05, 'epoch': 0.05}

 58%|█████▊    | 5815/10000 [15:28:21<13:22:58, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9520776271820068, dino_loss: 0.6875, depth_loss: 0.05697663128376007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7496059536933899, dino_loss: 0.63671875, depth_loss: 0.0586489662528038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5816/10000 [15:28:33<13:28:44, 11.60s/it]
                                                          
{'loss': 2.4396, 'grad_norm': 3.2279179096221924, 'learning_rate': 2.0347954870658536e-05, 'epoch': 0.05}

 58%|█████▊    | 5816/10000 [15:28:33<13:28:44, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7429465055465698, dino_loss: 0.62109375, depth_loss: 0.06284676492214203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0078330039978027, dino_loss: 0.68359375, depth_loss: 0.07516862452030182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5817/10000 [15:28:44<13:24:21, 11.54s/it]
                                                          
{'loss': 1.8421, 'grad_norm': 2.6414377689361572, 'learning_rate': 2.0339832171501487e-05, 'epoch': 0.05}

 58%|█████▊    | 5817/10000 [15:28:44<13:24:21, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9751698970794678, dino_loss: 0.68359375, depth_loss: 0.06664275377988815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8692295551300049, dino_loss: 0.73046875, depth_loss: 0.050167206674814224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5818/10000 [15:28:56<13:33:07, 11.67s/it]
                                                          
{'loss': 2.0959, 'grad_norm': 3.5889673233032227, 'learning_rate': 2.033170998197339e-05, 'epoch': 0.05}

 58%|█████▊    | 5818/10000 [15:28:56<13:33:07, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8888590335845947, dino_loss: 0.640625, depth_loss: 0.05349491164088249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7589646577835083, dino_loss: 0.64453125, depth_loss: 0.05496508628129959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5819/10000 [15:29:08<13:31:59, 11.65s/it]
                                                          
{'loss': 2.0256, 'grad_norm': 11.178322792053223, 'learning_rate': 2.0323588302962462e-05, 'epoch': 0.05}

 58%|█████▊    | 5819/10000 [15:29:08<13:31:59, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.883375346660614, dino_loss: 0.671875, depth_loss: 0.06929070502519608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0378222465515137, dino_loss: 0.6640625, depth_loss: 0.0699901133775711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5820/10000 [15:29:19<13:29:05, 11.61s/it]
                                                          
{'loss': 2.4085, 'grad_norm': 4.446950435638428, 'learning_rate': 2.031546713535688e-05, 'epoch': 0.05}

 58%|█████▊    | 5820/10000 [15:29:19<13:29:05, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7832472324371338, dino_loss: 0.69921875, depth_loss: 0.05092611163854599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8202275037765503, dino_loss: 0.69140625, depth_loss: 0.06369205564260483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5821/10000 [15:29:31<13:30:23, 11.64s/it]
                                                          
{'loss': 1.8241, 'grad_norm': 3.2998478412628174, 'learning_rate': 2.030734648004478e-05, 'epoch': 0.05}

 58%|█████▊    | 5821/10000 [15:29:31<13:30:23, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8108171224594116, dino_loss: 0.67578125, depth_loss: 0.05614534765481949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8767490386962891, dino_loss: 0.72265625, depth_loss: 0.060920439660549164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5822/10000 [15:29:43<13:31:38, 11.66s/it]
                                                          
{'loss': 2.3058, 'grad_norm': 3.7894885540008545, 'learning_rate': 2.029922633791421e-05, 'epoch': 0.05}

 58%|█████▊    | 5822/10000 [15:29:43<13:31:38, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6691673994064331, dino_loss: 0.6640625, depth_loss: 0.06485632061958313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6819919347763062, dino_loss: 0.6171875, depth_loss: 0.06147054582834244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5823/10000 [15:29:54<13:30:14, 11.64s/it]
                                                          
{'loss': 1.9303, 'grad_norm': 2.562361240386963, 'learning_rate': 2.0291106709853186e-05, 'epoch': 0.05}

 58%|█████▊    | 5823/10000 [15:29:54<13:30:14, 11.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7570362687110901, dino_loss: 0.69140625, depth_loss: 0.060042817145586014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9532389044761658, dino_loss: 0.671875, depth_loss: 0.059489309787750244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5824/10000 [15:30:06<13:35:08, 11.71s/it]
                                                          
{'loss': 2.2475, 'grad_norm': 2.511770248413086, 'learning_rate': 2.028298759674965e-05, 'epoch': 0.05}

 58%|█████▊    | 5824/10000 [15:30:06<13:35:08, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8662784099578857, dino_loss: 0.65234375, depth_loss: 0.047056473791599274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6882963180541992, dino_loss: 0.640625, depth_loss: 0.0569838210940361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5825/10000 [15:30:18<13:40:45, 11.80s/it]
                                                          
{'loss': 1.9917, 'grad_norm': 8.031078338623047, 'learning_rate': 2.02748689994915e-05, 'epoch': 0.05}

 58%|█████▊    | 5825/10000 [15:30:18<13:40:45, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7745972871780396, dino_loss: 0.7109375, depth_loss: 0.06762658804655075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9350409507751465, dino_loss: 0.69921875, depth_loss: 0.05937495082616806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5826/10000 [15:30:30<13:36:32, 11.74s/it]
                                                          
{'loss': 1.9969, 'grad_norm': 2.176940441131592, 'learning_rate': 2.0266750918966567e-05, 'epoch': 0.05}

 58%|█████▊    | 5826/10000 [15:30:30<13:36:32, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.709931492805481, dino_loss: 0.671875, depth_loss: 0.048525504767894745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9825883507728577, dino_loss: 0.69921875, depth_loss: 0.07205450534820557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5827/10000 [15:30:42<13:40:29, 11.80s/it]
                                                          
{'loss': 1.9621, 'grad_norm': 2.5190494060516357, 'learning_rate': 2.0258633356062632e-05, 'epoch': 0.05}

 58%|█████▊    | 5827/10000 [15:30:42<13:40:29, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9616652727127075, dino_loss: 0.65234375, depth_loss: 0.05497511848807335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8884230852127075, dino_loss: 0.69921875, depth_loss: 0.0482231006026268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5828/10000 [15:30:53<13:27:02, 11.61s/it]
                                                          
{'loss': 1.6762, 'grad_norm': 2.6817941665649414, 'learning_rate': 2.0250516311667432e-05, 'epoch': 0.05}

 58%|█████▊    | 5828/10000 [15:30:53<13:27:02, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8082050085067749, dino_loss: 0.69921875, depth_loss: 0.059814535081386566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8170623183250427, dino_loss: 0.70703125, depth_loss: 0.06928806751966476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5829/10000 [15:31:05<13:26:11, 11.60s/it]
                                                          
{'loss': 2.3153, 'grad_norm': 3.384891986846924, 'learning_rate': 2.0242399786668628e-05, 'epoch': 0.05}

 58%|█████▊    | 5829/10000 [15:31:05<13:26:11, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.750480055809021, dino_loss: 0.63671875, depth_loss: 0.05528569594025612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8511102795600891, dino_loss: 0.63671875, depth_loss: 0.05858360975980759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5830/10000 [15:31:16<13:29:36, 11.65s/it]
                                                          
{'loss': 1.9175, 'grad_norm': 2.993485927581787, 'learning_rate': 2.0234283781953834e-05, 'epoch': 0.05}

 58%|█████▊    | 5830/10000 [15:31:16<13:29:36, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9386736750602722, dino_loss: 0.68359375, depth_loss: 0.08699965476989746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8585071563720703, dino_loss: 0.6796875, depth_loss: 0.07230155915021896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5831/10000 [15:31:28<13:27:12, 11.62s/it]
                                                          
{'loss': 2.1838, 'grad_norm': 3.5577211380004883, 'learning_rate': 2.0226168298410597e-05, 'epoch': 0.05}

 58%|█████▊    | 5831/10000 [15:31:28<13:27:12, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7372844815254211, dino_loss: 0.703125, depth_loss: 0.0630907416343689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8990511298179626, dino_loss: 0.74609375, depth_loss: 0.06472798436880112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5832/10000 [15:31:40<13:30:06, 11.66s/it]
                                                          
{'loss': 2.3457, 'grad_norm': 2.1746041774749756, 'learning_rate': 2.0218053336926417e-05, 'epoch': 0.05}

 58%|█████▊    | 5832/10000 [15:31:40<13:30:06, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8620825409889221, dino_loss: 0.63671875, depth_loss: 0.05654635652899742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7427492141723633, dino_loss: 0.65625, depth_loss: 0.06001948565244675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5833/10000 [15:31:51<13:23:39, 11.57s/it]
                                                          
{'loss': 1.6913, 'grad_norm': 3.2770497798919678, 'learning_rate': 2.0209938898388726e-05, 'epoch': 0.05}

 58%|█████▊    | 5833/10000 [15:31:51<13:23:39, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9262543320655823, dino_loss: 0.65625, depth_loss: 0.05563222989439964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 1.1291929483413696, dino_loss: 0.61328125, depth_loss: 0.04924628138542175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5834/10000 [15:32:02<13:13:36, 11.43s/it]
                                                          
{'loss': 1.7382, 'grad_norm': 3.5659666061401367, 'learning_rate': 2.020182498368492e-05, 'epoch': 0.05}

 58%|█████▊    | 5834/10000 [15:32:02<13:13:36, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8277535438537598, dino_loss: 0.7265625, depth_loss: 0.04890106990933418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9548815488815308, dino_loss: 0.71484375, depth_loss: 0.06851459294557571, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5835/10000 [15:32:14<13:16:58, 11.48s/it]
                                                          
{'loss': 2.5135, 'grad_norm': 2.6237494945526123, 'learning_rate': 2.0193711593702326e-05, 'epoch': 0.05}

 58%|█████▊    | 5835/10000 [15:32:14<13:16:58, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9619318246841431, dino_loss: 0.69921875, depth_loss: 0.07696303725242615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6177942752838135, dino_loss: 0.609375, depth_loss: 0.052647512406110764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5836/10000 [15:32:25<13:12:10, 11.41s/it]
                                                          
{'loss': 2.1766, 'grad_norm': 3.399759531021118, 'learning_rate': 2.0185598729328205e-05, 'epoch': 0.05}

 58%|█████▊    | 5836/10000 [15:32:25<13:12:10, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8396754264831543, dino_loss: 0.6796875, depth_loss: 0.07200295478105545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6871708035469055, dino_loss: 0.62109375, depth_loss: 0.055685773491859436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5837/10000 [15:32:37<13:30:21, 11.68s/it]
                                                          
{'loss': 2.4502, 'grad_norm': 2.518601655960083, 'learning_rate': 2.0177486391449764e-05, 'epoch': 0.05}

 58%|█████▊    | 5837/10000 [15:32:37<13:30:21, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7478599548339844, dino_loss: 0.69921875, depth_loss: 0.05378950759768486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7909929752349854, dino_loss: 0.625, depth_loss: 0.06824146956205368, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5838/10000 [15:32:49<13:40:39, 11.83s/it]
                                                          
{'loss': 2.0184, 'grad_norm': 3.362213611602783, 'learning_rate': 2.0169374580954165e-05, 'epoch': 0.05}

 58%|█████▊    | 5838/10000 [15:32:49<13:40:39, 11.83s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.7144924402236938, dino_loss: 0.671875, depth_loss: 0.061213500797748566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.676021933555603, dino_loss: 0.640625, depth_loss: 0.06433473527431488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5839/10000 [15:33:01<13:31:29, 11.70s/it]
                                                          
{'loss': 1.6506, 'grad_norm': 3.5269792079925537, 'learning_rate': 2.0161263298728495e-05, 'epoch': 0.05}

 58%|█████▊    | 5839/10000 [15:33:01<13:31:29, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7035415172576904, dino_loss: 0.62890625, depth_loss: 0.05432385951280594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8237196803092957, dino_loss: 0.6484375, depth_loss: 0.057499367743730545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5840/10000 [15:33:13<13:32:27, 11.72s/it]
                                                          
{'loss': 1.8288, 'grad_norm': 2.3872640132904053, 'learning_rate': 2.0153152545659798e-05, 'epoch': 0.05}

 58%|█████▊    | 5840/10000 [15:33:13<13:32:27, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7815016508102417, dino_loss: 0.64453125, depth_loss: 0.05857880041003227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1481940746307373, dino_loss: 0.68359375, depth_loss: 0.060403112322092056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5841/10000 [15:33:24<13:34:25, 11.75s/it]
                                                          
{'loss': 2.3327, 'grad_norm': 9.274826049804688, 'learning_rate': 2.014504232263505e-05, 'epoch': 0.05}

 58%|█████▊    | 5841/10000 [15:33:24<13:34:25, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8881744146347046, dino_loss: 0.6640625, depth_loss: 0.057313211262226105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7456651329994202, dino_loss: 0.68359375, depth_loss: 0.06205560639500618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5842/10000 [15:33:36<13:36:02, 11.78s/it]
                                                          
{'loss': 2.2587, 'grad_norm': 4.616566181182861, 'learning_rate': 2.0136932630541176e-05, 'epoch': 0.05}

 58%|█████▊    | 5842/10000 [15:33:36<13:36:02, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9558814764022827, dino_loss: 0.69140625, depth_loss: 0.06942284107208252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8093302845954895, dino_loss: 0.59765625, depth_loss: 0.03660526126623154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5843/10000 [15:33:48<13:42:18, 11.87s/it]
                                                          
{'loss': 2.6666, 'grad_norm': 3.067469835281372, 'learning_rate': 2.012882347026504e-05, 'epoch': 0.05}

 58%|█████▊    | 5843/10000 [15:33:48<13:42:18, 11.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8933643102645874, dino_loss: 0.6953125, depth_loss: 0.053158871829509735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9465360641479492, dino_loss: 0.65625, depth_loss: 0.06402699649333954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5844/10000 [15:34:00<13:45:52, 11.92s/it]
                                                          
{'loss': 2.3334, 'grad_norm': 4.333625793457031, 'learning_rate': 2.0120714842693445e-05, 'epoch': 0.05}

 58%|█████▊    | 5844/10000 [15:34:00<13:45:52, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9294244647026062, dino_loss: 0.7109375, depth_loss: 0.05174732580780983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.5699365139007568, dino_loss: 0.67578125, depth_loss: 0.04773015156388283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5845/10000 [15:34:13<14:01:33, 12.15s/it]
                                                          
{'loss': 2.8283, 'grad_norm': 5.310240745544434, 'learning_rate': 2.0112606748713138e-05, 'epoch': 0.05}

 58%|█████▊    | 5845/10000 [15:34:13<14:01:33, 12.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0814037322998047, dino_loss: 0.67578125, depth_loss: 0.06258682161569595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8278446197509766, dino_loss: 0.6328125, depth_loss: 0.07073235511779785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5846/10000 [15:34:24<13:39:49, 11.84s/it]
                                                          
{'loss': 1.6793, 'grad_norm': 3.594099760055542, 'learning_rate': 2.01044991892108e-05, 'epoch': 0.05}

 58%|█████▊    | 5846/10000 [15:34:24<13:39:49, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0185248851776123, dino_loss: 0.71875, depth_loss: 0.06456179916858673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8704206943511963, dino_loss: 0.69921875, depth_loss: 0.0747765302658081, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5847/10000 [15:34:35<13:26:22, 11.65s/it]
                                                          
{'loss': 1.9888, 'grad_norm': 4.501221656799316, 'learning_rate': 2.0096392165073082e-05, 'epoch': 0.05}

 58%|█████▊    | 5847/10000 [15:34:35<13:26:22, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8968971967697144, dino_loss: 0.71875, depth_loss: 0.062453679740428925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8737434148788452, dino_loss: 0.7109375, depth_loss: 0.05575748160481453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5848/10000 [15:34:47<13:27:34, 11.67s/it]
                                                          
{'loss': 2.472, 'grad_norm': 3.690490245819092, 'learning_rate': 2.0088285677186542e-05, 'epoch': 0.05}

 58%|█████▊    | 5848/10000 [15:34:47<13:27:34, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9300211668014526, dino_loss: 0.7421875, depth_loss: 0.05732034891843796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9423307180404663, dino_loss: 0.671875, depth_loss: 0.07185056805610657, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5849/10000 [15:34:58<13:17:07, 11.52s/it]
                                                          
{'loss': 2.278, 'grad_norm': 3.64815616607666, 'learning_rate': 2.0080179726437696e-05, 'epoch': 0.05}

 58%|█████▊    | 5849/10000 [15:34:58<13:17:07, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8942144513130188, dino_loss: 0.69921875, depth_loss: 0.052079230546951294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6851291656494141, dino_loss: 0.63671875, depth_loss: 0.04835117235779762, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 58%|█████▊    | 5850/10000 [15:35:10<13:10:28, 11.43s/it]
                                                          
{'loss': 1.9132, 'grad_norm': 3.3224868774414062, 'learning_rate': 2.0072074313712997e-05, 'epoch': 0.05}

 58%|█████▊    | 5850/10000 [15:35:10<13:10:28, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8228294849395752, dino_loss: 0.703125, depth_loss: 0.06560877710580826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8112339973449707, dino_loss: 0.69921875, depth_loss: 0.06124584376811981, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5851/10000 [15:35:21<13:15:36, 11.51s/it]
                                                          
{'loss': 2.3384, 'grad_norm': 2.6847753524780273, 'learning_rate': 2.0063969439898845e-05, 'epoch': 0.05}

 59%|█████▊    | 5851/10000 [15:35:21<13:15:36, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6922155618667603, dino_loss: 0.65234375, depth_loss: 0.050881579518318176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9245753884315491, dino_loss: 0.6875, depth_loss: 0.06919319927692413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5852/10000 [15:35:32<13:10:12, 11.43s/it]
                                                          
{'loss': 2.0137, 'grad_norm': 4.7252960205078125, 'learning_rate': 2.005586510588156e-05, 'epoch': 0.05}

 59%|█████▊    | 5852/10000 [15:35:32<13:10:12, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7475570440292358, dino_loss: 0.671875, depth_loss: 0.061902500689029694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.827709436416626, dino_loss: 0.6875, depth_loss: 0.05380481854081154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5853/10000 [15:35:44<13:12:22, 11.46s/it]
                                                          
{'loss': 2.0031, 'grad_norm': 3.1319360733032227, 'learning_rate': 2.0047761312547448e-05, 'epoch': 0.05}

 59%|█████▊    | 5853/10000 [15:35:44<13:12:22, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.851737380027771, dino_loss: 0.6796875, depth_loss: 0.05298292636871338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0108273029327393, dino_loss: 0.69140625, depth_loss: 0.0551564060151577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5854/10000 [15:35:56<13:12:59, 11.48s/it]
                                                          
{'loss': 2.3117, 'grad_norm': 2.961143970489502, 'learning_rate': 2.003965806078271e-05, 'epoch': 0.05}

 59%|█████▊    | 5854/10000 [15:35:56<13:12:59, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9778897762298584, dino_loss: 0.703125, depth_loss: 0.07255217432975769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7055836915969849, dino_loss: 0.61328125, depth_loss: 0.05208359658718109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5855/10000 [15:36:07<13:13:47, 11.49s/it]
                                                          
{'loss': 2.1423, 'grad_norm': 3.6009321212768555, 'learning_rate': 2.003155535147351e-05, 'epoch': 0.05}

 59%|█████▊    | 5855/10000 [15:36:07<13:13:47, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7173139452934265, dino_loss: 0.63671875, depth_loss: 0.06037445366382599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8262825012207031, dino_loss: 0.65625, depth_loss: 0.057949427515268326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5856/10000 [15:36:19<13:29:52, 11.73s/it]
                                                          
{'loss': 2.1299, 'grad_norm': 2.9077165126800537, 'learning_rate': 2.002345318550595e-05, 'epoch': 0.05}

 59%|█████▊    | 5856/10000 [15:36:19<13:29:52, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8955539464950562, dino_loss: 0.68359375, depth_loss: 0.06339205801486969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7926254272460938, dino_loss: 0.7265625, depth_loss: 0.06720311939716339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5857/10000 [15:36:32<13:44:48, 11.95s/it]
                                                          
{'loss': 2.4006, 'grad_norm': 3.178741216659546, 'learning_rate': 2.0015351563766062e-05, 'epoch': 0.05}

 59%|█████▊    | 5857/10000 [15:36:32<13:44:48, 11.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8824366927146912, dino_loss: 0.67578125, depth_loss: 0.0689786970615387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7411638498306274, dino_loss: 0.62890625, depth_loss: 0.05943401902914047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5858/10000 [15:36:43<13:37:09, 11.84s/it]
                                                          
{'loss': 2.2532, 'grad_norm': 2.064624786376953, 'learning_rate': 2.000725048713983e-05, 'epoch': 0.05}

 59%|█████▊    | 5858/10000 [15:36:43<13:37:09, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8537403345108032, dino_loss: 0.69921875, depth_loss: 0.05714761093258858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9457517862319946, dino_loss: 0.7109375, depth_loss: 0.0659264624118805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5859/10000 [15:36:55<13:28:58, 11.72s/it]
                                                          
{'loss': 2.2846, 'grad_norm': 2.4409186840057373, 'learning_rate': 1.9999149956513176e-05, 'epoch': 0.05}

 59%|█████▊    | 5859/10000 [15:36:55<13:28:58, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9847819209098816, dino_loss: 0.6953125, depth_loss: 0.06393849849700928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9372737407684326, dino_loss: 0.6875, depth_loss: 0.061492301523685455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5860/10000 [15:37:06<13:26:01, 11.68s/it]
                                                          
{'loss': 2.2174, 'grad_norm': 2.364858865737915, 'learning_rate': 1.9991049972771972e-05, 'epoch': 0.05}

 59%|█████▊    | 5860/10000 [15:37:06<13:26:01, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7083560228347778, dino_loss: 0.65625, depth_loss: 0.06576572358608246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9969446659088135, dino_loss: 0.75390625, depth_loss: 0.06332021951675415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5861/10000 [15:37:17<13:08:28, 11.43s/it]
                                                          
{'loss': 2.0402, 'grad_norm': 4.749326229095459, 'learning_rate': 1.9982950536802012e-05, 'epoch': 0.05}

 59%|█████▊    | 5861/10000 [15:37:17<13:08:28, 11.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8475209474563599, dino_loss: 0.69140625, depth_loss: 0.06073280796408653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.76901775598526, dino_loss: 0.62890625, depth_loss: 0.0521673709154129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5862/10000 [15:37:29<13:11:06, 11.47s/it]
                                                          
{'loss': 2.0979, 'grad_norm': 2.198763370513916, 'learning_rate': 1.997485164948903e-05, 'epoch': 0.05}

 59%|█████▊    | 5862/10000 [15:37:29<13:11:06, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8494739532470703, dino_loss: 0.75390625, depth_loss: 0.06088251620531082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8008174896240234, dino_loss: 0.6640625, depth_loss: 0.06119450181722641, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5863/10000 [15:37:40<13:10:11, 11.46s/it]
                                                          
{'loss': 2.2338, 'grad_norm': 4.4120306968688965, 'learning_rate': 1.9966753311718727e-05, 'epoch': 0.05}

 59%|█████▊    | 5863/10000 [15:37:40<13:10:11, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7068551182746887, dino_loss: 0.66796875, depth_loss: 0.08703601360321045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9164875745773315, dino_loss: 0.69921875, depth_loss: 0.059409283101558685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5864/10000 [15:37:52<13:10:10, 11.46s/it]
                                                          
{'loss': 2.1584, 'grad_norm': 4.316563129425049, 'learning_rate': 1.995865552437671e-05, 'epoch': 0.05}

 59%|█████▊    | 5864/10000 [15:37:52<13:10:10, 11.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8293237090110779, dino_loss: 0.6875, depth_loss: 0.063358373939991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8022977113723755, dino_loss: 0.64453125, depth_loss: 0.05028560757637024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5865/10000 [15:38:04<13:19:22, 11.60s/it]
                                                          
{'loss': 2.3473, 'grad_norm': 4.131170749664307, 'learning_rate': 1.9950558288348542e-05, 'epoch': 0.05}

 59%|█████▊    | 5865/10000 [15:38:04<13:19:22, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6833935976028442, dino_loss: 0.6796875, depth_loss: 0.06533372402191162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8247098326683044, dino_loss: 0.65625, depth_loss: 0.061958156526088715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5866/10000 [15:38:16<13:27:44, 11.72s/it]
                                                          
{'loss': 1.9819, 'grad_norm': 3.3873345851898193, 'learning_rate': 1.9942461604519728e-05, 'epoch': 0.05}

 59%|█████▊    | 5866/10000 [15:38:16<13:27:44, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8209302425384521, dino_loss: 0.64453125, depth_loss: 0.05901132896542549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.832023024559021, dino_loss: 0.7421875, depth_loss: 0.05777724087238312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5867/10000 [15:38:28<13:33:09, 11.80s/it]
                                                          
{'loss': 2.3795, 'grad_norm': 2.972454786300659, 'learning_rate': 1.9934365473775713e-05, 'epoch': 0.05}

 59%|█████▊    | 5867/10000 [15:38:28<13:33:09, 11.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9605884552001953, dino_loss: 0.6953125, depth_loss: 0.06143645569682121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8786011934280396, dino_loss: 0.7109375, depth_loss: 0.06988191604614258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5868/10000 [15:38:40<13:50:08, 12.05s/it]
                                                          
{'loss': 2.2312, 'grad_norm': 2.776611328125, 'learning_rate': 1.9926269897001875e-05, 'epoch': 0.05}

 59%|█████▊    | 5868/10000 [15:38:40<13:50:08, 12.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9868508577346802, dino_loss: 0.66015625, depth_loss: 0.06254538893699646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9311894178390503, dino_loss: 0.6171875, depth_loss: 0.0593201220035553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5869/10000 [15:38:52<13:43:31, 11.96s/it]
                                                          
{'loss': 2.2919, 'grad_norm': 2.5899314880371094, 'learning_rate': 1.9918174875083535e-05, 'epoch': 0.05}

 59%|█████▊    | 5869/10000 [15:38:52<13:43:31, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7320016622543335, dino_loss: 0.65234375, depth_loss: 0.05285770073533058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8628838062286377, dino_loss: 0.69140625, depth_loss: 0.07108284533023834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5870/10000 [15:39:04<13:45:54, 12.00s/it]
                                                          
{'loss': 2.2038, 'grad_norm': 2.518409490585327, 'learning_rate': 1.9910080408905944e-05, 'epoch': 0.05}

 59%|█████▊    | 5870/10000 [15:39:04<13:45:54, 12.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7085762023925781, dino_loss: 0.6796875, depth_loss: 0.056313637644052505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8407284021377563, dino_loss: 0.6484375, depth_loss: 0.06134885922074318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5871/10000 [15:39:16<13:47:13, 12.02s/it]
                                                          
{'loss': 2.1212, 'grad_norm': 3.6730000972747803, 'learning_rate': 1.9901986499354303e-05, 'epoch': 0.05}

 59%|█████▊    | 5871/10000 [15:39:16<13:47:13, 12.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7838769555091858, dino_loss: 0.6875, depth_loss: 0.05205565690994263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8569690585136414, dino_loss: 0.625, depth_loss: 0.0595555454492569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5872/10000 [15:39:28<13:48:31, 12.04s/it]
                                                          
{'loss': 2.0398, 'grad_norm': 3.1357250213623047, 'learning_rate': 1.989389314731376e-05, 'epoch': 0.05}

 59%|█████▊    | 5872/10000 [15:39:28<13:48:31, 12.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9617077708244324, dino_loss: 0.703125, depth_loss: 0.06197285279631615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9487468004226685, dino_loss: 0.671875, depth_loss: 0.0713638886809349, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5873/10000 [15:39:40<13:35:01, 11.85s/it]
                                                          
{'loss': 1.962, 'grad_norm': 5.96011209487915, 'learning_rate': 1.9885800353669387e-05, 'epoch': 0.05}

 59%|█████▊    | 5873/10000 [15:39:40<13:35:01, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7144377827644348, dino_loss: 0.66015625, depth_loss: 0.04791029170155525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.829486608505249, dino_loss: 0.64453125, depth_loss: 0.05465013161301613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▊    | 5874/10000 [15:39:52<13:38:09, 11.90s/it]
                                                          
{'loss': 2.4915, 'grad_norm': 2.1971845626831055, 'learning_rate': 1.98777081193062e-05, 'epoch': 0.05}

 59%|█████▊    | 5874/10000 [15:39:52<13:38:09, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8649973273277283, dino_loss: 0.6796875, depth_loss: 0.05899800732731819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9731801748275757, dino_loss: 0.765625, depth_loss: 0.07271672785282135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5875/10000 [15:40:04<13:45:37, 12.01s/it]
                                                          
{'loss': 2.4473, 'grad_norm': 2.264718532562256, 'learning_rate': 1.9869616445109147e-05, 'epoch': 0.05}

 59%|█████▉    | 5875/10000 [15:40:04<13:45:37, 12.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8302492499351501, dino_loss: 0.6484375, depth_loss: 0.047670647501945496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.003309965133667, dino_loss: 0.7265625, depth_loss: 0.07124006003141403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5876/10000 [15:40:16<13:47:07, 12.03s/it]
                                                          
{'loss': 2.2316, 'grad_norm': 4.072366714477539, 'learning_rate': 1.986152533196313e-05, 'epoch': 0.05}

 59%|█████▉    | 5876/10000 [15:40:16<13:47:07, 12.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9960066080093384, dino_loss: 0.69921875, depth_loss: 0.06640002131462097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8207560777664185, dino_loss: 0.65234375, depth_loss: 0.060725484043359756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5877/10000 [15:40:28<13:41:54, 11.96s/it]
                                                          
{'loss': 2.3058, 'grad_norm': 4.138383865356445, 'learning_rate': 1.9853434780752973e-05, 'epoch': 0.05}

 59%|█████▉    | 5877/10000 [15:40:28<13:41:54, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7366310954093933, dino_loss: 0.65234375, depth_loss: 0.06326001137495041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7051918506622314, dino_loss: 0.61328125, depth_loss: 0.043520573526620865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5878/10000 [15:40:39<13:28:36, 11.77s/it]
                                                          
{'loss': 2.0543, 'grad_norm': 2.863352060317993, 'learning_rate': 1.9845344792363447e-05, 'epoch': 0.05}

 59%|█████▉    | 5878/10000 [15:40:39<13:28:36, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7136638164520264, dino_loss: 0.6640625, depth_loss: 0.0503661073744297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8305506706237793, dino_loss: 0.6953125, depth_loss: 0.05566057190299034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5879/10000 [15:40:51<13:21:11, 11.66s/it]
                                                          
{'loss': 1.9913, 'grad_norm': 2.3486502170562744, 'learning_rate': 1.983725536767927e-05, 'epoch': 0.05}

 59%|█████▉    | 5879/10000 [15:40:51<13:21:11, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0431814193725586, dino_loss: 0.6953125, depth_loss: 0.06737140566110611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0388859510421753, dino_loss: 0.76171875, depth_loss: 0.06485924869775772, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5880/10000 [15:41:02<13:24:44, 11.72s/it]
                                                          
{'loss': 2.5988, 'grad_norm': 2.6982903480529785, 'learning_rate': 1.9829166507585083e-05, 'epoch': 0.05}

 59%|█████▉    | 5880/10000 [15:41:02<13:24:44, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1113879680633545, dino_loss: 0.69140625, depth_loss: 0.06097525730729103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6244751214981079, dino_loss: 0.66796875, depth_loss: 0.05008166283369064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5881/10000 [15:41:14<13:21:04, 11.67s/it]
                                                          
{'loss': 2.112, 'grad_norm': 2.5039401054382324, 'learning_rate': 1.9821078212965478e-05, 'epoch': 0.05}

 59%|█████▉    | 5881/10000 [15:41:14<13:21:04, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9416211843490601, dino_loss: 0.65234375, depth_loss: 0.060622699558734894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7367761135101318, dino_loss: 0.640625, depth_loss: 0.048017874360084534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5882/10000 [15:41:26<13:20:46, 11.67s/it]
                                                          
{'loss': 2.1317, 'grad_norm': 4.833558082580566, 'learning_rate': 1.981299048470497e-05, 'epoch': 0.05}

 59%|█████▉    | 5882/10000 [15:41:26<13:20:46, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8284708261489868, dino_loss: 0.71484375, depth_loss: 0.0706026703119278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7361873984336853, dino_loss: 0.671875, depth_loss: 0.06918571889400482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5883/10000 [15:41:37<13:13:20, 11.56s/it]
                                                          
{'loss': 1.9301, 'grad_norm': 2.5672202110290527, 'learning_rate': 1.980490332368802e-05, 'epoch': 0.05}

 59%|█████▉    | 5883/10000 [15:41:37<13:13:20, 11.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7145422697067261, dino_loss: 0.64453125, depth_loss: 0.04968886822462082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8536586761474609, dino_loss: 0.69921875, depth_loss: 0.05170483887195587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5884/10000 [15:41:49<13:15:26, 11.60s/it]
                                                          
{'loss': 2.0501, 'grad_norm': 2.910810708999634, 'learning_rate': 1.9796816730799028e-05, 'epoch': 0.05}

 59%|█████▉    | 5884/10000 [15:41:49<13:15:26, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8289077281951904, dino_loss: 0.703125, depth_loss: 0.051660262048244476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8052093982696533, dino_loss: 0.6953125, depth_loss: 0.05644769221544266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5885/10000 [15:42:00<13:16:54, 11.62s/it]
                                                          
{'loss': 2.0614, 'grad_norm': 2.0272045135498047, 'learning_rate': 1.9788730706922342e-05, 'epoch': 0.05}

 59%|█████▉    | 5885/10000 [15:42:00<13:16:54, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7588245868682861, dino_loss: 0.6484375, depth_loss: 0.057926442474126816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8297648429870605, dino_loss: 0.7109375, depth_loss: 0.06323413550853729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5886/10000 [15:42:12<13:21:39, 11.69s/it]
                                                          
{'loss': 2.0123, 'grad_norm': 2.0120091438293457, 'learning_rate': 1.978064525294223e-05, 'epoch': 0.05}

 59%|█████▉    | 5886/10000 [15:42:12<13:21:39, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9383542537689209, dino_loss: 0.671875, depth_loss: 0.054384227842092514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.869408369064331, dino_loss: 0.65625, depth_loss: 0.05639887973666191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5887/10000 [15:42:24<13:18:53, 11.65s/it]
                                                          
{'loss': 2.185, 'grad_norm': 3.2897281646728516, 'learning_rate': 1.9772560369742904e-05, 'epoch': 0.05}

 59%|█████▉    | 5887/10000 [15:42:24<13:18:53, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8769391775131226, dino_loss: 0.6796875, depth_loss: 0.07015831768512726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7683385610580444, dino_loss: 0.7265625, depth_loss: 0.05715356767177582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5888/10000 [15:42:36<13:22:35, 11.71s/it]
                                                          
{'loss': 2.3726, 'grad_norm': 2.5656912326812744, 'learning_rate': 1.9764476058208522e-05, 'epoch': 0.05}

 59%|█████▉    | 5888/10000 [15:42:36<13:22:35, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9013451337814331, dino_loss: 0.6484375, depth_loss: 0.052883509546518326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.093287706375122, dino_loss: 0.6953125, depth_loss: 0.0683336853981018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5889/10000 [15:42:48<13:27:27, 11.78s/it]
                                                          
{'loss': 2.2098, 'grad_norm': 3.984572410583496, 'learning_rate': 1.9756392319223164e-05, 'epoch': 0.05}

 59%|█████▉    | 5889/10000 [15:42:48<13:27:27, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7617771625518799, dino_loss: 0.69921875, depth_loss: 0.08215037733316422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7528943419456482, dino_loss: 0.66015625, depth_loss: 0.060016341507434845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5890/10000 [15:43:00<13:39:26, 11.96s/it]
                                                          
{'loss': 2.3064, 'grad_norm': 3.2512612342834473, 'learning_rate': 1.974830915367086e-05, 'epoch': 0.05}

 59%|█████▉    | 5890/10000 [15:43:00<13:39:26, 11.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8144171833992004, dino_loss: 0.6796875, depth_loss: 0.05727316811680794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8782476186752319, dino_loss: 0.7109375, depth_loss: 0.06656002998352051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5891/10000 [15:43:11<13:27:22, 11.79s/it]
                                                          
{'loss': 1.9023, 'grad_norm': 4.661564826965332, 'learning_rate': 1.974022656243556e-05, 'epoch': 0.05}

 59%|█████▉    | 5891/10000 [15:43:11<13:27:22, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8887953162193298, dino_loss: 0.67578125, depth_loss: 0.06715555489063263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8606604337692261, dino_loss: 0.69140625, depth_loss: 0.07578835636377335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5892/10000 [15:43:23<13:21:08, 11.70s/it]
                                                          
{'loss': 2.1671, 'grad_norm': 4.653634548187256, 'learning_rate': 1.973214454640119e-05, 'epoch': 0.05}

 59%|█████▉    | 5892/10000 [15:43:23<13:21:08, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8075658679008484, dino_loss: 0.73046875, depth_loss: 0.06153765320777893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8141121864318848, dino_loss: 0.7265625, depth_loss: 0.049212049692869186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5893/10000 [15:43:34<13:12:41, 11.58s/it]
                                                          
{'loss': 2.0522, 'grad_norm': 3.086078405380249, 'learning_rate': 1.972406310645157e-05, 'epoch': 0.05}

 59%|█████▉    | 5893/10000 [15:43:34<13:12:41, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8250126838684082, dino_loss: 0.66796875, depth_loss: 0.04807313159108162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8640207052230835, dino_loss: 0.671875, depth_loss: 0.05301644653081894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5894/10000 [15:43:46<13:12:25, 11.58s/it]
                                                          
{'loss': 2.094, 'grad_norm': 6.728176593780518, 'learning_rate': 1.9715982243470472e-05, 'epoch': 0.05}

 59%|█████▉    | 5894/10000 [15:43:46<13:12:25, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9133095741271973, dino_loss: 0.6953125, depth_loss: 0.08964680880308151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7953535318374634, dino_loss: 0.734375, depth_loss: 0.0628729835152626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5895/10000 [15:43:58<13:18:32, 11.67s/it]
                                                          
{'loss': 2.441, 'grad_norm': 3.0216317176818848, 'learning_rate': 1.9707901958341612e-05, 'epoch': 0.05}

 59%|█████▉    | 5895/10000 [15:43:58<13:18:32, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6751918196678162, dino_loss: 0.65625, depth_loss: 0.057772040367126465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0132756233215332, dino_loss: 0.65234375, depth_loss: 0.056345243006944656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5896/10000 [15:44:09<13:07:58, 11.52s/it]
                                                          
{'loss': 1.85, 'grad_norm': 2.9256327152252197, 'learning_rate': 1.969982225194864e-05, 'epoch': 0.05}

 59%|█████▉    | 5896/10000 [15:44:09<13:07:58, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9671003818511963, dino_loss: 0.71875, depth_loss: 0.07137921452522278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592643737792969, dino_loss: 0.671875, depth_loss: 0.061398204416036606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5897/10000 [15:44:20<13:04:29, 11.47s/it]
                                                          
{'loss': 2.2259, 'grad_norm': 4.436649322509766, 'learning_rate': 1.9691743125175126e-05, 'epoch': 0.05}

 59%|█████▉    | 5897/10000 [15:44:20<13:04:29, 11.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9677742123603821, dino_loss: 0.67578125, depth_loss: 0.059486813843250275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5276793241500854, dino_loss: 0.6328125, depth_loss: 0.05006268620491028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5898/10000 [15:44:32<13:09:05, 11.54s/it]
                                                          
{'loss': 1.8916, 'grad_norm': 4.530359268188477, 'learning_rate': 1.9683664578904614e-05, 'epoch': 0.05}

 59%|█████▉    | 5898/10000 [15:44:32<13:09:05, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8308678865432739, dino_loss: 0.6171875, depth_loss: 0.051912929862737656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7496646642684937, dino_loss: 0.67578125, depth_loss: 0.047888532280921936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5899/10000 [15:44:43<13:07:07, 11.52s/it]
                                                          
{'loss': 1.9595, 'grad_norm': 3.5933330059051514, 'learning_rate': 1.9675586614020553e-05, 'epoch': 0.05}

 59%|█████▉    | 5899/10000 [15:44:43<13:07:07, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5575419068336487, dino_loss: 0.625, depth_loss: 0.0609733909368515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6889957785606384, dino_loss: 0.66796875, depth_loss: 0.04341574385762215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5900/10000 [15:44:55<13:11:52, 11.59s/it]
                                                          
{'loss': 1.9495, 'grad_norm': 3.8951146602630615, 'learning_rate': 1.9667509231406334e-05, 'epoch': 0.05}

 59%|█████▉    | 5900/10000 [15:44:55<13:11:52, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.794920802116394, dino_loss: 0.7109375, depth_loss: 0.07816603779792786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9357894659042358, dino_loss: 0.70703125, depth_loss: 0.08703579008579254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5901/10000 [15:45:06<13:06:26, 11.51s/it]
                                                          
{'loss': 1.8899, 'grad_norm': 2.565790891647339, 'learning_rate': 1.9659432431945286e-05, 'epoch': 0.05}

 59%|█████▉    | 5901/10000 [15:45:06<13:06:26, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7875943183898926, dino_loss: 0.72265625, depth_loss: 0.053623050451278687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.902946412563324, dino_loss: 0.6953125, depth_loss: 0.05228307843208313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5902/10000 [15:45:18<13:01:23, 11.44s/it]
                                                          
{'loss': 2.151, 'grad_norm': 4.347706317901611, 'learning_rate': 1.965135621652068e-05, 'epoch': 0.05}

 59%|█████▉    | 5902/10000 [15:45:18<13:01:23, 11.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9511454701423645, dino_loss: 0.6484375, depth_loss: 0.044681306928396225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8652271628379822, dino_loss: 0.68359375, depth_loss: 0.0428033322095871, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5903/10000 [15:45:29<12:57:43, 11.39s/it]
                                                          
{'loss': 2.4463, 'grad_norm': 3.4737772941589355, 'learning_rate': 1.9643280586015703e-05, 'epoch': 0.05}

 59%|█████▉    | 5903/10000 [15:45:29<12:57:43, 11.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8868529200553894, dino_loss: 0.609375, depth_loss: 0.051324810832738876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7748725414276123, dino_loss: 0.640625, depth_loss: 0.050430744886398315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5904/10000 [15:45:41<13:20:59, 11.73s/it]
                                                          
{'loss': 2.0186, 'grad_norm': 6.812370777130127, 'learning_rate': 1.963520554131352e-05, 'epoch': 0.05}

 59%|█████▉    | 5904/10000 [15:45:41<13:20:59, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8602754473686218, dino_loss: 0.6953125, depth_loss: 0.06863106787204742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8613096475601196, dino_loss: 0.6796875, depth_loss: 0.07247298955917358, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5905/10000 [15:45:54<13:47:20, 12.12s/it]
                                                          
{'loss': 2.7201, 'grad_norm': 3.846179485321045, 'learning_rate': 1.962713108329719e-05, 'epoch': 0.05}

 59%|█████▉    | 5905/10000 [15:45:54<13:47:20, 12.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8709965348243713, dino_loss: 0.625, depth_loss: 0.060073912143707275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8279547691345215, dino_loss: 0.734375, depth_loss: 0.06607403606176376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5906/10000 [15:46:06<13:29:04, 11.86s/it]
                                                          
{'loss': 2.0778, 'grad_norm': 2.5110576152801514, 'learning_rate': 1.9619057212849733e-05, 'epoch': 0.05}

 59%|█████▉    | 5906/10000 [15:46:06<13:29:04, 11.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9821884036064148, dino_loss: 0.703125, depth_loss: 0.05799442529678345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8045272827148438, dino_loss: 0.62890625, depth_loss: 0.0497133806347847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5907/10000 [15:46:17<13:17:06, 11.68s/it]
                                                          
{'loss': 2.167, 'grad_norm': 3.846651554107666, 'learning_rate': 1.9610983930854087e-05, 'epoch': 0.05}

 59%|█████▉    | 5907/10000 [15:46:17<13:17:06, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9439866542816162, dino_loss: 0.69921875, depth_loss: 0.056479841470718384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6844525337219238, dino_loss: 0.71484375, depth_loss: 0.05419182777404785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5908/10000 [15:46:28<13:04:55, 11.51s/it]
                                                          
{'loss': 1.9673, 'grad_norm': 2.514714479446411, 'learning_rate': 1.9602911238193127e-05, 'epoch': 0.05}

 59%|█████▉    | 5908/10000 [15:46:28<13:04:55, 11.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8781635761260986, dino_loss: 0.65234375, depth_loss: 0.06563939154148102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.906234085559845, dino_loss: 0.71484375, depth_loss: 0.07031918317079544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5909/10000 [15:46:40<13:05:33, 11.52s/it]
                                                          
{'loss': 2.4502, 'grad_norm': 2.883697271347046, 'learning_rate': 1.959483913574969e-05, 'epoch': 0.05}

 59%|█████▉    | 5909/10000 [15:46:40<13:05:33, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9416438341140747, dino_loss: 0.69921875, depth_loss: 0.07133471965789795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8378556966781616, dino_loss: 0.64453125, depth_loss: 0.04908493906259537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5910/10000 [15:46:51<13:05:42, 11.53s/it]
                                                          
{'loss': 1.99, 'grad_norm': 2.329982042312622, 'learning_rate': 1.958676762440651e-05, 'epoch': 0.05}

 59%|█████▉    | 5910/10000 [15:46:51<13:05:42, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8634777665138245, dino_loss: 0.66796875, depth_loss: 0.05993326008319855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0172436237335205, dino_loss: 0.671875, depth_loss: 0.04882287606596947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5911/10000 [15:47:03<13:02:13, 11.48s/it]
                                                          
{'loss': 2.0935, 'grad_norm': 3.5448689460754395, 'learning_rate': 1.957869670504629e-05, 'epoch': 0.05}

 59%|█████▉    | 5911/10000 [15:47:03<13:02:13, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9499855041503906, dino_loss: 0.68359375, depth_loss: 0.07078872621059418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8674831390380859, dino_loss: 0.61328125, depth_loss: 0.048263173550367355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5912/10000 [15:47:14<13:11:24, 11.62s/it]
                                                          
{'loss': 2.3728, 'grad_norm': 2.8754186630249023, 'learning_rate': 1.9570626378551645e-05, 'epoch': 0.05}

 59%|█████▉    | 5912/10000 [15:47:14<13:11:24, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.910596489906311, dino_loss: 0.70703125, depth_loss: 0.07609817385673523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9481419324874878, dino_loss: 0.67578125, depth_loss: 0.07078118622303009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5913/10000 [15:47:27<13:20:30, 11.75s/it]
                                                          
{'loss': 2.7598, 'grad_norm': 4.714615821838379, 'learning_rate': 1.9562556645805137e-05, 'epoch': 0.05}

 59%|█████▉    | 5913/10000 [15:47:27<13:20:30, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7602169513702393, dino_loss: 0.6640625, depth_loss: 0.06358415633440018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8612603545188904, dino_loss: 0.67578125, depth_loss: 0.06457819044589996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5914/10000 [15:47:38<13:17:38, 11.71s/it]
                                                          
{'loss': 2.0715, 'grad_norm': 3.912590265274048, 'learning_rate': 1.955448750768926e-05, 'epoch': 0.05}

 59%|█████▉    | 5914/10000 [15:47:38<13:17:38, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8052881956100464, dino_loss: 0.66015625, depth_loss: 0.06116736680269241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0726103782653809, dino_loss: 0.671875, depth_loss: 0.05684284493327141, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5915/10000 [15:47:49<13:04:14, 11.52s/it]
                                                          
{'loss': 2.2443, 'grad_norm': 3.073225498199463, 'learning_rate': 1.9546418965086442e-05, 'epoch': 0.05}

 59%|█████▉    | 5915/10000 [15:47:49<13:04:14, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8807088136672974, dino_loss: 0.67578125, depth_loss: 0.07472515851259232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8341338634490967, dino_loss: 0.65625, depth_loss: 0.07386301457881927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5916/10000 [15:48:01<13:02:21, 11.49s/it]
                                                          
{'loss': 2.2491, 'grad_norm': 3.957714557647705, 'learning_rate': 1.9538351018879038e-05, 'epoch': 0.05}

 59%|█████▉    | 5916/10000 [15:48:01<13:02:21, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7098219990730286, dino_loss: 0.6171875, depth_loss: 0.043105531483888626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.860172688961029, dino_loss: 0.70703125, depth_loss: 0.05975894629955292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5917/10000 [15:48:12<13:04:37, 11.53s/it]
                                                          
{'loss': 1.7853, 'grad_norm': 5.073655605316162, 'learning_rate': 1.953028366994936e-05, 'epoch': 0.05}

 59%|█████▉    | 5917/10000 [15:48:12<13:04:37, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8167603611946106, dino_loss: 0.71484375, depth_loss: 0.056261010468006134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7203345894813538, dino_loss: 0.68359375, depth_loss: 0.0530487522482872, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5918/10000 [15:48:24<13:16:05, 11.70s/it]
                                                          
{'loss': 2.4395, 'grad_norm': 2.888134479522705, 'learning_rate': 1.9522216919179644e-05, 'epoch': 0.05}

 59%|█████▉    | 5918/10000 [15:48:24<13:16:05, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8587422370910645, dino_loss: 0.6484375, depth_loss: 0.06711973994970322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8991605043411255, dino_loss: 0.7109375, depth_loss: 0.056914862245321274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5919/10000 [15:48:36<13:21:52, 11.79s/it]
                                                          
{'loss': 2.3445, 'grad_norm': 2.622217893600464, 'learning_rate': 1.9514150767452047e-05, 'epoch': 0.05}

 59%|█████▉    | 5919/10000 [15:48:36<13:21:52, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.819582998752594, dino_loss: 0.66796875, depth_loss: 0.045847732573747635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 1.0199917554855347, dino_loss: 0.6640625, depth_loss: 0.0605182908475399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5920/10000 [15:48:48<13:13:11, 11.66s/it]
                                                          
{'loss': 2.1475, 'grad_norm': 3.7372913360595703, 'learning_rate': 1.9506085215648675e-05, 'epoch': 0.05}

 59%|█████▉    | 5920/10000 [15:48:48<13:13:11, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7611073851585388, dino_loss: 0.6953125, depth_loss: 0.07052872329950333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7305632829666138, dino_loss: 0.640625, depth_loss: 0.06063394993543625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5921/10000 [15:48:59<13:04:47, 11.54s/it]
                                                          
{'loss': 1.4815, 'grad_norm': 2.2866945266723633, 'learning_rate': 1.949802026465156e-05, 'epoch': 0.05}

 59%|█████▉    | 5921/10000 [15:48:59<13:04:47, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9228804111480713, dino_loss: 0.671875, depth_loss: 0.06662659347057343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6774135828018188, dino_loss: 0.671875, depth_loss: 0.05597078427672386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5922/10000 [15:49:11<13:10:21, 11.63s/it]
                                                          
{'loss': 1.8306, 'grad_norm': 2.0815794467926025, 'learning_rate': 1.9489955915342673e-05, 'epoch': 0.05}

 59%|█████▉    | 5922/10000 [15:49:11<13:10:21, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 1
seg_loss: 0.6774550676345825, dino_loss: 0.6875, depth_loss: 0.06655309349298477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7989171147346497, dino_loss: 0.625, depth_loss: 0.04661256819963455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5923/10000 [15:49:22<12:55:18, 11.41s/it]
                                                          
{'loss': 1.454, 'grad_norm': 2.925598621368408, 'learning_rate': 1.9481892168603926e-05, 'epoch': 0.05}

 59%|█████▉    | 5923/10000 [15:49:22<12:55:18, 11.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8253960609436035, dino_loss: 0.6484375, depth_loss: 0.059814486652612686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8500339388847351, dino_loss: 0.6171875, depth_loss: 0.05457793176174164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5924/10000 [15:49:33<12:47:58, 11.30s/it]
                                                          
{'loss': 1.6579, 'grad_norm': 3.3912441730499268, 'learning_rate': 1.947382902531716e-05, 'epoch': 0.05}

 59%|█████▉    | 5924/10000 [15:49:33<12:47:58, 11.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8959575891494751, dino_loss: 0.703125, depth_loss: 0.08238589018583298, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8800027966499329, dino_loss: 0.67578125, depth_loss: 0.05339181795716286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5925/10000 [15:49:45<13:08:30, 11.61s/it]
                                                          
{'loss': 3.0409, 'grad_norm': 4.048408031463623, 'learning_rate': 1.9465766486364143e-05, 'epoch': 0.05}

 59%|█████▉    | 5925/10000 [15:49:45<13:08:30, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7580279111862183, dino_loss: 0.6953125, depth_loss: 0.051662180572748184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6590062975883484, dino_loss: 0.72265625, depth_loss: 0.05070611834526062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5926/10000 [15:49:58<13:24:41, 11.85s/it]
                                                          
{'loss': 1.9267, 'grad_norm': 3.735949754714966, 'learning_rate': 1.945770455262658e-05, 'epoch': 0.05}

 59%|█████▉    | 5926/10000 [15:49:58<13:24:41, 11.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.731026291847229, dino_loss: 0.66015625, depth_loss: 0.06849265098571777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9560422897338867, dino_loss: 0.6953125, depth_loss: 0.05780642107129097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5927/10000 [15:50:09<13:14:36, 11.71s/it]
                                                          
{'loss': 1.8485, 'grad_norm': 2.437983751296997, 'learning_rate': 1.9449643224986115e-05, 'epoch': 0.05}

 59%|█████▉    | 5927/10000 [15:50:09<13:14:36, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.842286229133606, dino_loss: 0.69921875, depth_loss: 0.05042246729135513, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8687378168106079, dino_loss: 0.68359375, depth_loss: 0.07037292420864105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5928/10000 [15:50:20<13:12:18, 11.67s/it]
                                                          
{'loss': 2.0211, 'grad_norm': 3.8901479244232178, 'learning_rate': 1.9441582504324323e-05, 'epoch': 0.05}

 59%|█████▉    | 5928/10000 [15:50:20<13:12:18, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7067959308624268, dino_loss: 0.67578125, depth_loss: 0.05604761466383934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7304649353027344, dino_loss: 0.70703125, depth_loss: 0.06986333429813385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5929/10000 [15:50:32<13:18:25, 11.77s/it]
                                                          
{'loss': 2.0369, 'grad_norm': 5.159158229827881, 'learning_rate': 1.94335223915227e-05, 'epoch': 0.05}

 59%|█████▉    | 5929/10000 [15:50:32<13:18:25, 11.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9494231343269348, dino_loss: 0.66796875, depth_loss: 0.07548417150974274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6857237219810486, dino_loss: 0.65625, depth_loss: 0.05293137952685356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5930/10000 [15:50:44<13:11:00, 11.66s/it]
                                                          
{'loss': 2.1936, 'grad_norm': 2.4808599948883057, 'learning_rate': 1.9425462887462712e-05, 'epoch': 0.05}

 59%|█████▉    | 5930/10000 [15:50:44<13:11:00, 11.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9125765562057495, dino_loss: 0.6796875, depth_loss: 0.06472287327051163, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8169514536857605, dino_loss: 0.65234375, depth_loss: 0.055195968598127365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5931/10000 [15:50:56<13:14:13, 11.71s/it]
                                                          
{'loss': 2.2109, 'grad_norm': 3.7302889823913574, 'learning_rate': 1.941740399302572e-05, 'epoch': 0.05}

 59%|█████▉    | 5931/10000 [15:50:56<13:14:13, 11.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9286537170410156, dino_loss: 0.7265625, depth_loss: 0.07418006658554077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6877501606941223, dino_loss: 0.6640625, depth_loss: 0.05485571548342705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5932/10000 [15:51:07<13:06:35, 11.60s/it]
                                                          
{'loss': 1.9955, 'grad_norm': 2.901031970977783, 'learning_rate': 1.9409345709093036e-05, 'epoch': 0.05}

 59%|█████▉    | 5932/10000 [15:51:07<13:06:35, 11.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.789675235748291, dino_loss: 0.765625, depth_loss: 0.07288603484630585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7735192775726318, dino_loss: 0.59765625, depth_loss: 0.051484059542417526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5933/10000 [15:51:19<13:11:23, 11.68s/it]
                                                          
{'loss': 1.95, 'grad_norm': 3.1095738410949707, 'learning_rate': 1.940128803654589e-05, 'epoch': 0.05}

 59%|█████▉    | 5933/10000 [15:51:19<13:11:23, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7414833307266235, dino_loss: 0.6796875, depth_loss: 0.07027944177389145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7165650129318237, dino_loss: 0.66796875, depth_loss: 0.06537124514579773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5934/10000 [15:51:30<13:07:24, 11.62s/it]
                                                          
{'loss': 1.8145, 'grad_norm': 2.7802529335021973, 'learning_rate': 1.9393230976265473e-05, 'epoch': 0.05}

 59%|█████▉    | 5934/10000 [15:51:30<13:07:24, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8619005084037781, dino_loss: 0.75390625, depth_loss: 0.07532503455877304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7474597692489624, dino_loss: 0.66796875, depth_loss: 0.0512031689286232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5935/10000 [15:51:43<13:26:29, 11.90s/it]
                                                          
{'loss': 2.5602, 'grad_norm': 3.673823356628418, 'learning_rate': 1.9385174529132884e-05, 'epoch': 0.05}

 59%|█████▉    | 5935/10000 [15:51:43<13:26:29, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.769659698009491, dino_loss: 0.625, depth_loss: 0.049001868814229965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7207304239273071, dino_loss: 0.63671875, depth_loss: 0.05683647841215134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5936/10000 [15:51:55<13:20:31, 11.82s/it]
                                                          
{'loss': 1.9586, 'grad_norm': 3.1698853969573975, 'learning_rate': 1.9377118696029172e-05, 'epoch': 0.05}

 59%|█████▉    | 5936/10000 [15:51:55<13:20:31, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9012472033500671, dino_loss: 0.66015625, depth_loss: 0.058167509734630585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7944018244743347, dino_loss: 0.66796875, depth_loss: 0.052899543195962906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5937/10000 [15:52:07<13:25:53, 11.90s/it]
                                                          
{'loss': 2.066, 'grad_norm': 2.5201799869537354, 'learning_rate': 1.9369063477835297e-05, 'epoch': 0.05}

 59%|█████▉    | 5937/10000 [15:52:07<13:25:53, 11.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8389679193496704, dino_loss: 0.7265625, depth_loss: 0.05703054741024971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9410890936851501, dino_loss: 0.70703125, depth_loss: 0.06041231378912926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5938/10000 [15:52:18<13:21:46, 11.84s/it]
                                                          
{'loss': 2.3271, 'grad_norm': 5.031500339508057, 'learning_rate': 1.9361008875432185e-05, 'epoch': 0.05}

 59%|█████▉    | 5938/10000 [15:52:18<13:21:46, 11.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8059950470924377, dino_loss: 0.6875, depth_loss: 0.07608595490455627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7650495767593384, dino_loss: 0.64453125, depth_loss: 0.05410746484994888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5939/10000 [15:52:31<13:27:45, 11.93s/it]
                                                          
{'loss': 1.9951, 'grad_norm': 2.804259777069092, 'learning_rate': 1.935295488970066e-05, 'epoch': 0.05}

 59%|█████▉    | 5939/10000 [15:52:31<13:27:45, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8255716562271118, dino_loss: 0.70703125, depth_loss: 0.06944023072719574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7982029914855957, dino_loss: 0.7109375, depth_loss: 0.054963357746601105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5940/10000 [15:52:42<13:19:54, 11.82s/it]
                                                          
{'loss': 1.9761, 'grad_norm': 4.852656841278076, 'learning_rate': 1.93449015215215e-05, 'epoch': 0.05}

 59%|█████▉    | 5940/10000 [15:52:42<13:19:54, 11.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7200555205345154, dino_loss: 0.6328125, depth_loss: 0.059785548597574234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7746744155883789, dino_loss: 0.703125, depth_loss: 0.046560801565647125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5941/10000 [15:52:54<13:14:41, 11.75s/it]
                                                          
{'loss': 2.2564, 'grad_norm': 3.148024559020996, 'learning_rate': 1.9336848771775397e-05, 'epoch': 0.05}

 59%|█████▉    | 5941/10000 [15:52:54<13:14:41, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8950734734535217, dino_loss: 0.70703125, depth_loss: 0.0712827518582344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0016577243804932, dino_loss: 0.7109375, depth_loss: 0.06547714024782181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5942/10000 [15:53:05<13:12:32, 11.72s/it]
                                                          
{'loss': 2.3971, 'grad_norm': 1.7477471828460693, 'learning_rate': 1.9328796641343006e-05, 'epoch': 0.05}

 59%|█████▉    | 5942/10000 [15:53:05<13:12:32, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8214159607887268, dino_loss: 0.71484375, depth_loss: 0.06006964296102524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8019541501998901, dino_loss: 0.66796875, depth_loss: 0.06486927717924118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5943/10000 [15:53:17<13:09:57, 11.68s/it]
                                                          
{'loss': 1.9589, 'grad_norm': 2.3302133083343506, 'learning_rate': 1.9320745131104887e-05, 'epoch': 0.05}

 59%|█████▉    | 5943/10000 [15:53:17<13:09:57, 11.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.890763521194458, dino_loss: 0.73046875, depth_loss: 0.06276879459619522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9391013383865356, dino_loss: 0.6953125, depth_loss: 0.059187810868024826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5944/10000 [15:53:29<13:11:04, 11.70s/it]
                                                          
{'loss': 2.1395, 'grad_norm': 3.1147549152374268, 'learning_rate': 1.9312694241941544e-05, 'epoch': 0.05}

 59%|█████▉    | 5944/10000 [15:53:29<13:11:04, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9323204159736633, dino_loss: 0.71484375, depth_loss: 0.07872037589550018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8216480016708374, dino_loss: 0.7109375, depth_loss: 0.09019526839256287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5945/10000 [15:53:40<13:04:45, 11.61s/it]
                                                          
{'loss': 2.2072, 'grad_norm': 5.3170905113220215, 'learning_rate': 1.930464397473341e-05, 'epoch': 0.05}

 59%|█████▉    | 5945/10000 [15:53:40<13:04:45, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9006037712097168, dino_loss: 0.78125, depth_loss: 0.06369666010141373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8268803358078003, dino_loss: 0.69921875, depth_loss: 0.06386301666498184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5946/10000 [15:53:52<13:07:01, 11.65s/it]
                                                          
{'loss': 2.512, 'grad_norm': 3.291781425476074, 'learning_rate': 1.929659433036084e-05, 'epoch': 0.05}

 59%|█████▉    | 5946/10000 [15:53:52<13:07:01, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8908507823944092, dino_loss: 0.671875, depth_loss: 0.05199342593550682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9051553010940552, dino_loss: 0.6875, depth_loss: 0.05547654628753662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5947/10000 [15:54:04<13:10:27, 11.70s/it]
                                                          
{'loss': 2.1909, 'grad_norm': 3.2435262203216553, 'learning_rate': 1.928854530970415e-05, 'epoch': 0.05}

 59%|█████▉    | 5947/10000 [15:54:04<13:10:27, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9144896864891052, dino_loss: 0.7265625, depth_loss: 0.07024575769901276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8591897487640381, dino_loss: 0.61328125, depth_loss: 0.05837208777666092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5948/10000 [15:54:15<13:12:08, 11.73s/it]
                                                          
{'loss': 2.4156, 'grad_norm': 2.1753933429718018, 'learning_rate': 1.9280496913643542e-05, 'epoch': 0.05}

 59%|█████▉    | 5948/10000 [15:54:15<13:12:08, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.950788676738739, dino_loss: 0.703125, depth_loss: 0.052115824073553085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.988741934299469, dino_loss: 0.70703125, depth_loss: 0.07718959450721741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 59%|█████▉    | 5949/10000 [15:54:27<13:09:33, 11.69s/it]
                                                          
{'loss': 2.3915, 'grad_norm': 6.374592304229736, 'learning_rate': 1.9272449143059202e-05, 'epoch': 0.05}

 59%|█████▉    | 5949/10000 [15:54:27<13:09:33, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9594911336898804, dino_loss: 0.69921875, depth_loss: 0.05283505469560623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6964142918586731, dino_loss: 0.6640625, depth_loss: 0.059326451271772385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5950/10000 [15:54:38<12:59:12, 11.54s/it]
                                                          
{'loss': 1.6616, 'grad_norm': 3.209643840789795, 'learning_rate': 1.9264401998831213e-05, 'epoch': 0.05}

 60%|█████▉    | 5950/10000 [15:54:38<12:59:12, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7042539119720459, dino_loss: 0.625, depth_loss: 0.055153973400592804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7756778597831726, dino_loss: 0.66796875, depth_loss: 0.06606463342905045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5951/10000 [15:54:50<13:08:53, 11.69s/it]
                                                          
{'loss': 1.9976, 'grad_norm': 3.308849811553955, 'learning_rate': 1.92563554818396e-05, 'epoch': 0.05}

 60%|█████▉    | 5951/10000 [15:54:50<13:08:53, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7638334631919861, dino_loss: 0.70703125, depth_loss: 0.06218942627310753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.007331132888794, dino_loss: 0.6953125, depth_loss: 0.06912782788276672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5952/10000 [15:55:01<12:58:08, 11.53s/it]
                                                          
{'loss': 2.0349, 'grad_norm': 2.8092844486236572, 'learning_rate': 1.9248309592964315e-05, 'epoch': 0.05}

 60%|█████▉    | 5952/10000 [15:55:01<12:58:08, 11.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.852514386177063, dino_loss: 0.73046875, depth_loss: 0.07008099555969238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.914595365524292, dino_loss: 0.6953125, depth_loss: 0.061790574342012405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5953/10000 [15:55:13<13:03:36, 11.62s/it]
                                                          
{'loss': 2.4289, 'grad_norm': 2.490687370300293, 'learning_rate': 1.9240264333085245e-05, 'epoch': 0.05}

 60%|█████▉    | 5953/10000 [15:55:13<13:03:36, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8636538982391357, dino_loss: 0.68359375, depth_loss: 0.059986650943756104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7398815155029297, dino_loss: 0.703125, depth_loss: 0.05922133848071098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5954/10000 [15:55:25<13:05:21, 11.65s/it]
                                                          
{'loss': 2.1697, 'grad_norm': 2.5780608654022217, 'learning_rate': 1.9232219703082196e-05, 'epoch': 0.05}

 60%|█████▉    | 5954/10000 [15:55:25<13:05:21, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7467637658119202, dino_loss: 0.734375, depth_loss: 0.07762175798416138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7392625212669373, dino_loss: 0.6640625, depth_loss: 0.06645115464925766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5955/10000 [15:55:37<13:08:33, 11.70s/it]
                                                          
{'loss': 2.0677, 'grad_norm': 2.6521811485290527, 'learning_rate': 1.922417570383494e-05, 'epoch': 0.05}

 60%|█████▉    | 5955/10000 [15:55:37<13:08:33, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9473617672920227, dino_loss: 0.66796875, depth_loss: 0.0630437582731247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9329692125320435, dino_loss: 0.6796875, depth_loss: 0.060176875442266464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5956/10000 [15:55:49<13:11:51, 11.75s/it]
                                                          
{'loss': 2.3205, 'grad_norm': 6.132172584533691, 'learning_rate': 1.9216132336223147e-05, 'epoch': 0.05}

 60%|█████▉    | 5956/10000 [15:55:49<13:11:51, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7515848278999329, dino_loss: 0.703125, depth_loss: 0.0573655366897583, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.845486044883728, dino_loss: 0.65234375, depth_loss: 0.05865940451622009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5957/10000 [15:56:00<13:06:04, 11.67s/it]
                                                          
{'loss': 1.8626, 'grad_norm': 3.6004436016082764, 'learning_rate': 1.9208089601126425e-05, 'epoch': 0.05}

 60%|█████▉    | 5957/10000 [15:56:00<13:06:04, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9272222518920898, dino_loss: 0.6953125, depth_loss: 0.08063489943742752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7736214399337769, dino_loss: 0.71875, depth_loss: 0.05814449489116669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5958/10000 [15:56:12<13:06:05, 11.67s/it]
                                                          
{'loss': 2.2715, 'grad_norm': 3.3029534816741943, 'learning_rate': 1.9200047499424308e-05, 'epoch': 0.05}

 60%|█████▉    | 5958/10000 [15:56:12<13:06:05, 11.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8834383487701416, dino_loss: 0.73828125, depth_loss: 0.05557661131024361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8064299821853638, dino_loss: 0.6484375, depth_loss: 0.04725310206413269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5959/10000 [15:56:23<12:59:55, 11.58s/it]
                                                          
{'loss': 1.9935, 'grad_norm': 4.757138729095459, 'learning_rate': 1.9192006031996285e-05, 'epoch': 0.05}

 60%|█████▉    | 5959/10000 [15:56:23<12:59:55, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9868360757827759, dino_loss: 0.73828125, depth_loss: 0.06847524642944336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8175249099731445, dino_loss: 0.734375, depth_loss: 0.04797466844320297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5960/10000 [15:56:34<12:53:58, 11.49s/it]
                                                          
{'loss': 2.0593, 'grad_norm': 3.1795382499694824, 'learning_rate': 1.9183965199721745e-05, 'epoch': 0.05}

 60%|█████▉    | 5960/10000 [15:56:34<12:53:58, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8789278864860535, dino_loss: 0.7109375, depth_loss: 0.0804145336151123, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8162874579429626, dino_loss: 0.609375, depth_loss: 0.0461747944355011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5961/10000 [15:56:47<13:07:53, 11.70s/it]
                                                          
{'loss': 2.3964, 'grad_norm': 3.4605743885040283, 'learning_rate': 1.917592500348003e-05, 'epoch': 0.05}

 60%|█████▉    | 5961/10000 [15:56:47<13:07:53, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8212571144104004, dino_loss: 0.640625, depth_loss: 0.05582382529973984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8787877559661865, dino_loss: 0.68359375, depth_loss: 0.0711875930428505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5962/10000 [15:56:58<13:03:52, 11.65s/it]
                                                          
{'loss': 2.1966, 'grad_norm': 3.177278518676758, 'learning_rate': 1.9167885444150395e-05, 'epoch': 0.05}

 60%|█████▉    | 5962/10000 [15:56:58<13:03:52, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.7049435377120972, dino_loss: 0.63671875, depth_loss: 0.05590606480836868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8462324142456055, dino_loss: 0.72265625, depth_loss: 0.05395936965942383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5963/10000 [15:57:10<13:01:09, 11.61s/it]
                                                          
{'loss': 1.7903, 'grad_norm': 3.471595525741577, 'learning_rate': 1.9159846522612046e-05, 'epoch': 0.05}

 60%|█████▉    | 5963/10000 [15:57:10<13:01:09, 11.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8330546617507935, dino_loss: 0.6953125, depth_loss: 0.07029908895492554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.019734501838684, dino_loss: 0.734375, depth_loss: 0.08213243633508682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5964/10000 [15:57:21<13:03:41, 11.65s/it]
                                                          
{'loss': 2.6369, 'grad_norm': 3.5154342651367188, 'learning_rate': 1.91518082397441e-05, 'epoch': 0.05}

 60%|█████▉    | 5964/10000 [15:57:21<13:03:41, 11.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8260114192962646, dino_loss: 0.6796875, depth_loss: 0.04523560404777527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0228569507598877, dino_loss: 0.71875, depth_loss: 0.07600073516368866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5965/10000 [15:57:33<12:57:52, 11.57s/it]
                                                          
{'loss': 2.1948, 'grad_norm': 3.128739833831787, 'learning_rate': 1.9143770596425615e-05, 'epoch': 0.05}

 60%|█████▉    | 5965/10000 [15:57:33<12:57:52, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9037461280822754, dino_loss: 0.67578125, depth_loss: 0.053834524005651474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7365742921829224, dino_loss: 0.65234375, depth_loss: 0.0508880577981472, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5966/10000 [15:57:45<13:12:58, 11.79s/it]
                                                          
{'loss': 2.0493, 'grad_norm': 3.7230496406555176, 'learning_rate': 1.9135733593535567e-05, 'epoch': 0.05}

 60%|█████▉    | 5966/10000 [15:57:45<13:12:58, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.841351330280304, dino_loss: 0.66796875, depth_loss: 0.05606808513402939, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8429133892059326, dino_loss: 0.6953125, depth_loss: 0.05486319214105606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5967/10000 [15:57:56<12:58:53, 11.59s/it]
                                                          
{'loss': 1.9003, 'grad_norm': 5.097360610961914, 'learning_rate': 1.912769723195287e-05, 'epoch': 0.05}

 60%|█████▉    | 5967/10000 [15:57:56<12:58:53, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6734120845794678, dino_loss: 0.66015625, depth_loss: 0.046442314982414246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8353089094161987, dino_loss: 0.71484375, depth_loss: 0.06514787673950195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5968/10000 [15:58:08<12:58:15, 11.58s/it]
                                                          
{'loss': 2.0346, 'grad_norm': 5.100334167480469, 'learning_rate': 1.9119661512556387e-05, 'epoch': 0.05}

 60%|█████▉    | 5968/10000 [15:58:08<12:58:15, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9797186851501465, dino_loss: 0.71484375, depth_loss: 0.07097715139389038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8368348479270935, dino_loss: 0.67578125, depth_loss: 0.06654481589794159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5969/10000 [15:58:19<12:58:34, 11.59s/it]
                                                          
{'loss': 2.159, 'grad_norm': 3.387080192565918, 'learning_rate': 1.9111626436224874e-05, 'epoch': 0.05}

 60%|█████▉    | 5969/10000 [15:58:19<12:58:34, 11.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0276625156402588, dino_loss: 0.66796875, depth_loss: 0.08681929856538773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8978278636932373, dino_loss: 0.66796875, depth_loss: 0.056229814887046814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5970/10000 [15:58:32<13:11:47, 11.79s/it]
                                                          
{'loss': 2.3978, 'grad_norm': 3.9910025596618652, 'learning_rate': 1.9103592003837045e-05, 'epoch': 0.05}

 60%|█████▉    | 5970/10000 [15:58:32<13:11:47, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7827402949333191, dino_loss: 0.65234375, depth_loss: 0.05623871088027954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7776123881340027, dino_loss: 0.65234375, depth_loss: 0.05988337844610214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5971/10000 [15:58:44<13:20:24, 11.92s/it]
                                                          
{'loss': 2.4583, 'grad_norm': 3.8852624893188477, 'learning_rate': 1.9095558216271532e-05, 'epoch': 0.05}

 60%|█████▉    | 5971/10000 [15:58:44<13:20:24, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8597046136856079, dino_loss: 0.62890625, depth_loss: 0.049310024827718735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9246686697006226, dino_loss: 0.70703125, depth_loss: 0.06433173269033432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5972/10000 [15:58:56<13:20:03, 11.92s/it]
                                                          
{'loss': 1.934, 'grad_norm': 3.839998245239258, 'learning_rate': 1.908752507440689e-05, 'epoch': 0.05}

 60%|█████▉    | 5972/10000 [15:58:56<13:20:03, 11.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8876001834869385, dino_loss: 0.72265625, depth_loss: 0.06244157254695892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8880373239517212, dino_loss: 0.6640625, depth_loss: 0.05475584790110588, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5973/10000 [15:59:08<13:17:15, 11.88s/it]
                                                          
{'loss': 2.3673, 'grad_norm': 2.8122828006744385, 'learning_rate': 1.9079492579121607e-05, 'epoch': 0.05}

 60%|█████▉    | 5973/10000 [15:59:08<13:17:15, 11.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.7279229760169983, dino_loss: 0.69140625, depth_loss: 0.06032709404826164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.771593451499939, dino_loss: 0.69921875, depth_loss: 0.05866207927465439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5974/10000 [15:59:19<13:14:37, 11.84s/it]
                                                          
{'loss': 2.3057, 'grad_norm': 2.445458173751831, 'learning_rate': 1.9071460731294127e-05, 'epoch': 0.05}

 60%|█████▉    | 5974/10000 [15:59:19<13:14:37, 11.84s/it]the number of masks: 3
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.6874830722808838, dino_loss: 0.6875, depth_loss: 0.05624828487634659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8896372318267822, dino_loss: 0.73828125, depth_loss: 0.06682223826646805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5975/10000 [15:59:31<13:04:33, 11.70s/it]
                                                          
{'loss': 2.1474, 'grad_norm': 4.73645544052124, 'learning_rate': 1.9063429531802786e-05, 'epoch': 0.05}

 60%|█████▉    | 5975/10000 [15:59:31<13:04:33, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0713276863098145, dino_loss: 0.69140625, depth_loss: 0.05593063309788704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.902820348739624, dino_loss: 0.6484375, depth_loss: 0.05509590357542038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5976/10000 [15:59:42<12:59:13, 11.62s/it]
                                                          
{'loss': 2.1866, 'grad_norm': 2.653430223464966, 'learning_rate': 1.9055398981525867e-05, 'epoch': 0.05}

 60%|█████▉    | 5976/10000 [15:59:42<12:59:13, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.85960853099823, dino_loss: 0.71484375, depth_loss: 0.061231501400470734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7570867538452148, dino_loss: 0.640625, depth_loss: 0.05966823548078537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5977/10000 [15:59:54<13:06:46, 11.73s/it]
                                                          
{'loss': 2.0883, 'grad_norm': 4.3748393058776855, 'learning_rate': 1.904736908134158e-05, 'epoch': 0.05}

 60%|█████▉    | 5977/10000 [15:59:54<13:06:46, 11.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9103548526763916, dino_loss: 0.671875, depth_loss: 0.06377248466014862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8504157662391663, dino_loss: 0.69921875, depth_loss: 0.06470642983913422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5978/10000 [16:00:06<13:04:21, 11.70s/it]
                                                          
{'loss': 2.189, 'grad_norm': 2.375842571258545, 'learning_rate': 1.9039339832128057e-05, 'epoch': 0.05}

 60%|█████▉    | 5978/10000 [16:00:06<13:04:21, 11.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9609842896461487, dino_loss: 0.66796875, depth_loss: 0.04975631833076477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8282445669174194, dino_loss: 0.68359375, depth_loss: 0.06702487170696259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5979/10000 [16:00:17<12:59:36, 11.63s/it]
                                                          
{'loss': 2.2802, 'grad_norm': 3.4477379322052, 'learning_rate': 1.9031311234763362e-05, 'epoch': 0.05}

 60%|█████▉    | 5979/10000 [16:00:17<12:59:36, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7850180268287659, dino_loss: 0.671875, depth_loss: 0.05583428591489792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8909960985183716, dino_loss: 0.5859375, depth_loss: 0.05186500400304794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5980/10000 [16:00:29<12:53:16, 11.54s/it]
                                                          
{'loss': 1.9924, 'grad_norm': 2.676713228225708, 'learning_rate': 1.90232832901255e-05, 'epoch': 0.05}

 60%|█████▉    | 5980/10000 [16:00:29<12:53:16, 11.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8764758110046387, dino_loss: 0.69140625, depth_loss: 0.07331831008195877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9433943629264832, dino_loss: 0.703125, depth_loss: 0.06723760813474655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5981/10000 [16:00:40<12:49:53, 11.49s/it]
                                                          
{'loss': 2.5817, 'grad_norm': 4.479218006134033, 'learning_rate': 1.9015255999092398e-05, 'epoch': 0.05}

 60%|█████▉    | 5981/10000 [16:00:40<12:49:53, 11.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7204287052154541, dino_loss: 0.6875, depth_loss: 0.06263832747936249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9791712164878845, dino_loss: 0.6640625, depth_loss: 0.05667770281434059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5982/10000 [16:00:52<13:06:38, 11.75s/it]
                                                          
{'loss': 2.372, 'grad_norm': 3.1589770317077637, 'learning_rate': 1.9007229362541898e-05, 'epoch': 0.05}

 60%|█████▉    | 5982/10000 [16:00:52<13:06:38, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7200427055358887, dino_loss: 0.6640625, depth_loss: 0.05606362968683243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8749278783798218, dino_loss: 0.70703125, depth_loss: 0.057411979883909225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5983/10000 [16:01:03<12:54:43, 11.57s/it]
                                                          
{'loss': 2.0405, 'grad_norm': 2.972790479660034, 'learning_rate': 1.899920338135178e-05, 'epoch': 0.05}

 60%|█████▉    | 5983/10000 [16:01:03<12:54:43, 11.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8365528583526611, dino_loss: 0.7109375, depth_loss: 0.06718979775905609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7421892881393433, dino_loss: 0.65625, depth_loss: 0.05094783753156662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5984/10000 [16:01:16<13:08:31, 11.78s/it]
                                                          
{'loss': 2.0696, 'grad_norm': 2.973795175552368, 'learning_rate': 1.8991178056399765e-05, 'epoch': 0.05}

 60%|█████▉    | 5984/10000 [16:01:16<13:08:31, 11.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0036914348602295, dino_loss: 0.75390625, depth_loss: 0.06723639369010925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9340090751647949, dino_loss: 0.67578125, depth_loss: 0.06134806573390961, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5985/10000 [16:01:27<13:03:58, 11.72s/it]
                                                          
{'loss': 2.4542, 'grad_norm': 1.943598985671997, 'learning_rate': 1.8983153388563486e-05, 'epoch': 0.05}

 60%|█████▉    | 5985/10000 [16:01:27<13:03:58, 11.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.728713870048523, dino_loss: 0.703125, depth_loss: 0.04889553785324097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9848819375038147, dino_loss: 0.671875, depth_loss: 0.05675265192985535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5986/10000 [16:01:39<13:08:26, 11.79s/it]
                                                          
{'loss': 2.1632, 'grad_norm': 4.116236209869385, 'learning_rate': 1.8975129378720492e-05, 'epoch': 0.05}

 60%|█████▉    | 5986/10000 [16:01:39<13:08:26, 11.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7905783653259277, dino_loss: 0.734375, depth_loss: 0.048416927456855774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6820695996284485, dino_loss: 0.65625, depth_loss: 0.054863136261701584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5987/10000 [16:01:51<13:05:44, 11.75s/it]
                                                          
{'loss': 1.9655, 'grad_norm': 5.5338053703308105, 'learning_rate': 1.8967106027748298e-05, 'epoch': 0.05}

 60%|█████▉    | 5987/10000 [16:01:51<13:05:44, 11.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8194686770439148, dino_loss: 0.70703125, depth_loss: 0.05412653088569641, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8059189319610596, dino_loss: 0.64453125, depth_loss: 0.06097589060664177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5988/10000 [16:02:03<13:18:01, 11.93s/it]
                                                          
{'loss': 2.4166, 'grad_norm': 3.1980361938476562, 'learning_rate': 1.8959083336524326e-05, 'epoch': 0.05}

 60%|█████▉    | 5988/10000 [16:02:03<13:18:01, 11.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8678923845291138, dino_loss: 0.640625, depth_loss: 0.06754139065742493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8345503807067871, dino_loss: 0.6640625, depth_loss: 0.0831659808754921, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5989/10000 [16:02:15<13:10:49, 11.83s/it]
                                                          
{'loss': 2.4547, 'grad_norm': 2.1550798416137695, 'learning_rate': 1.8951061305925914e-05, 'epoch': 0.05}

 60%|█████▉    | 5989/10000 [16:02:15<13:10:49, 11.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9779636263847351, dino_loss: 0.68359375, depth_loss: 0.05767861008644104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8578923940658569, dino_loss: 0.70703125, depth_loss: 0.07605110853910446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5990/10000 [16:02:26<13:01:32, 11.69s/it]
                                                          
{'loss': 2.5946, 'grad_norm': 3.6016407012939453, 'learning_rate': 1.8943039936830344e-05, 'epoch': 0.05}

 60%|█████▉    | 5990/10000 [16:02:26<13:01:32, 11.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9530246257781982, dino_loss: 0.7109375, depth_loss: 0.06541803479194641, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8959149122238159, dino_loss: 0.65625, depth_loss: 0.056010901927948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5991/10000 [16:02:38<13:04:36, 11.74s/it]
                                                          
{'loss': 2.2472, 'grad_norm': 3.183762788772583, 'learning_rate': 1.893501923011482e-05, 'epoch': 0.05}

 60%|█████▉    | 5991/10000 [16:02:38<13:04:36, 11.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7676177620887756, dino_loss: 0.61328125, depth_loss: 0.05566094070672989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9695339202880859, dino_loss: 0.7265625, depth_loss: 0.07817602902650833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5992/10000 [16:02:49<12:56:17, 11.62s/it]
                                                          
{'loss': 2.1573, 'grad_norm': 1.8023124933242798, 'learning_rate': 1.8926999186656464e-05, 'epoch': 0.05}

 60%|█████▉    | 5992/10000 [16:02:49<12:56:17, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.880817174911499, dino_loss: 0.67578125, depth_loss: 0.06163656711578369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8446303606033325, dino_loss: 0.6875, depth_loss: 0.0573270320892334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5993/10000 [16:03:01<12:56:43, 11.63s/it]
                                                          
{'loss': 2.1342, 'grad_norm': 3.5045125484466553, 'learning_rate': 1.8918979807332356e-05, 'epoch': 0.05}

 60%|█████▉    | 5993/10000 [16:03:01<12:56:43, 11.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9795252084732056, dino_loss: 0.66796875, depth_loss: 0.07478730380535126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9692093133926392, dino_loss: 0.66796875, depth_loss: 0.056848518550395966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5994/10000 [16:03:12<12:46:37, 11.48s/it]
                                                          
{'loss': 2.1709, 'grad_norm': 3.3516807556152344, 'learning_rate': 1.8910961093019473e-05, 'epoch': 0.05}

 60%|█████▉    | 5994/10000 [16:03:12<12:46:37, 11.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8208898901939392, dino_loss: 0.69921875, depth_loss: 0.06343922764062881, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8906427025794983, dino_loss: 0.671875, depth_loss: 0.07945013046264648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5995/10000 [16:03:23<12:38:41, 11.37s/it]
                                                          
{'loss': 1.6182, 'grad_norm': 2.456826686859131, 'learning_rate': 1.8902943044594735e-05, 'epoch': 0.05}

 60%|█████▉    | 5995/10000 [16:03:23<12:38:41, 11.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1944528818130493, dino_loss: 0.72265625, depth_loss: 0.07102471590042114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8366280198097229, dino_loss: 0.70703125, depth_loss: 0.05913533642888069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5996/10000 [16:03:35<12:52:44, 11.58s/it]
                                                          
{'loss': 2.5155, 'grad_norm': 2.9366283416748047, 'learning_rate': 1.8894925662934974e-05, 'epoch': 0.05}

 60%|█████▉    | 5996/10000 [16:03:35<12:52:44, 11.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.3156578540802002, dino_loss: 0.671875, depth_loss: 0.06880373507738113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9764872193336487, dino_loss: 0.671875, depth_loss: 0.06413551419973373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5997/10000 [16:03:47<12:55:26, 11.62s/it]
                                                          
{'loss': 2.3747, 'grad_norm': 6.0075883865356445, 'learning_rate': 1.8886908948916966e-05, 'epoch': 0.05}

 60%|█████▉    | 5997/10000 [16:03:47<12:55:26, 11.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8913540244102478, dino_loss: 0.703125, depth_loss: 0.07751962542533875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8756495118141174, dino_loss: 0.6875, depth_loss: 0.048990193754434586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5998/10000 [16:03:58<12:48:40, 11.52s/it]
                                                          
{'loss': 2.3486, 'grad_norm': 2.925778865814209, 'learning_rate': 1.8878892903417404e-05, 'epoch': 0.05}

 60%|█████▉    | 5998/10000 [16:03:58<12:48:40, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.730974555015564, dino_loss: 0.63671875, depth_loss: 0.04937535524368286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8651723265647888, dino_loss: 0.68359375, depth_loss: 0.05691002309322357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|█████▉    | 5999/10000 [16:04:10<12:48:03, 11.52s/it]
                                                          
{'loss': 1.7173, 'grad_norm': 3.039971113204956, 'learning_rate': 1.8870877527312897e-05, 'epoch': 0.05}

 60%|█████▉    | 5999/10000 [16:04:10<12:48:03, 11.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6293224096298218, dino_loss: 0.609375, depth_loss: 0.0430908165872097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6708663702011108, dino_loss: 0.6953125, depth_loss: 0.06747732311487198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6000/10000 [16:04:22<12:58:15, 11.67s/it]
                                                          
{'loss': 1.8989, 'grad_norm': 2.819283962249756, 'learning_rate': 1.8862862821480025e-05, 'epoch': 0.05}

 60%|██████    | 6000/10000 [16:04:22<12:58:15, 11.67s/it]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
/root/miniconda3/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
  warnings.warn(  # warn only once
/root/miniconda3/lib/python3.12/site-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5242688655853271, dino_loss: 0.671875, depth_loss: 0.06670431792736053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.9609375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6001/10000 [16:05:48<37:53:10, 34.11s/it]
                                                          
{'loss': 2.4262, 'grad_norm': 7.304672718048096, 'learning_rate': 1.8854848786795243e-05, 'epoch': 0.05}

 60%|██████    | 6001/10000 [16:05:48<37:53:10, 34.11s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7580445408821106, dino_loss: 0.68359375, depth_loss: 0.07305802404880524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8136851787567139, dino_loss: 0.6171875, depth_loss: 0.0598372146487236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6002/10000 [16:05:55<28:46:24, 25.91s/it]
                                                          
{'loss': 2.5135, 'grad_norm': 9.951163291931152, 'learning_rate': 1.8846835424134963e-05, 'epoch': 0.05}

 60%|██████    | 6002/10000 [16:05:55<28:46:24, 25.91s/it]seg_loss: 0.0, dino_loss: 0.84765625, depth_loss: 0.07742252945899963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.06378072500228882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6003/10000 [16:05:59<21:26:13, 19.31s/it]
                                                          
{'loss': 2.0572, 'grad_norm': 13.557953834533691, 'learning_rate': 1.88388227343755e-05, 'epoch': 0.05}

 60%|██████    | 6003/10000 [16:05:59<21:26:13, 19.31s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9175586700439453, dino_loss: 0.69140625, depth_loss: 0.0533985011279583, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7520946264266968, dino_loss: 0.6796875, depth_loss: 0.05436506122350693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6004/10000 [16:06:07<17:46:47, 16.02s/it]
                                                          
{'loss': 2.635, 'grad_norm': 6.751053810119629, 'learning_rate': 1.883081071839313e-05, 'epoch': 0.05}

 60%|██████    | 6004/10000 [16:06:07<17:46:47, 16.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8594350218772888, dino_loss: 0.6640625, depth_loss: 0.06522078812122345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9442732334136963, dino_loss: 0.6796875, depth_loss: 0.056569766253232956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6005/10000 [16:06:17<15:30:31, 13.98s/it]
                                                          
{'loss': 2.2634, 'grad_norm': 3.524333953857422, 'learning_rate': 1.8822799377064014e-05, 'epoch': 0.05}

 60%|██████    | 6005/10000 [16:06:17<15:30:31, 13.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9033786654472351, dino_loss: 0.68359375, depth_loss: 0.060958586633205414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7654164433479309, dino_loss: 0.5859375, depth_loss: 0.059683658182621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6006/10000 [16:06:25<13:29:59, 12.17s/it]
                                                          
{'loss': 2.0781, 'grad_norm': 4.332152843475342, 'learning_rate': 1.8814788711264278e-05, 'epoch': 0.05}

 60%|██████    | 6006/10000 [16:06:25<13:29:59, 12.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9736565351486206, dino_loss: 0.6484375, depth_loss: 0.04809946566820145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7134157419204712, dino_loss: 0.58203125, depth_loss: 0.03652225807309151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6007/10000 [16:06:33<12:18:48, 11.10s/it]
                                                          
{'loss': 2.1794, 'grad_norm': 6.693066120147705, 'learning_rate': 1.8806778721869945e-05, 'epoch': 0.05}

 60%|██████    | 6007/10000 [16:06:33<12:18:48, 11.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9240881204605103, dino_loss: 0.75, depth_loss: 0.06457404792308807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.478909969329834, dino_loss: 0.52734375, depth_loss: 0.050561416894197464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6008/10000 [16:06:42<11:42:00, 10.55s/it]
                                                          
{'loss': 1.8626, 'grad_norm': 7.680394172668457, 'learning_rate': 1.8798769409756985e-05, 'epoch': 0.05}

 60%|██████    | 6008/10000 [16:06:42<11:42:00, 10.55s/it]the number of masks: 8
seg_loss: 0.8628321886062622, dino_loss: 0.75, depth_loss: 0.08299815654754639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.839693546295166, dino_loss: 0.671875, depth_loss: 0.04678129404783249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6009/10000 [16:06:49<10:14:32,  9.24s/it]
                                                          
{'loss': 2.5473, 'grad_norm': 11.841386795043945, 'learning_rate': 1.8790760775801275e-05, 'epoch': 0.05}

 60%|██████    | 6009/10000 [16:06:49<10:14:32,  9.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7044810652732849, dino_loss: 0.69140625, depth_loss: 0.06514023244380951, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7972157597541809, dino_loss: 0.76953125, depth_loss: 0.06010010093450546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6010/10000 [16:06:56<9:40:59,  8.74s/it] 
                                                         
{'loss': 2.3891, 'grad_norm': 8.649933815002441, 'learning_rate': 1.8782752820878634e-05, 'epoch': 0.05}

 60%|██████    | 6010/10000 [16:06:56<9:40:59,  8.74s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7694206237792969, dino_loss: 0.62890625, depth_loss: 0.06455287337303162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8187862634658813, dino_loss: 0.70703125, depth_loss: 0.06575144827365875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6011/10000 [16:07:04<9:25:01,  8.50s/it]
                                                         
{'loss': 2.4105, 'grad_norm': 4.398743152618408, 'learning_rate': 1.8774745545864787e-05, 'epoch': 0.05}

 60%|██████    | 6011/10000 [16:07:04<9:25:01,  8.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9700863361358643, dino_loss: 0.6953125, depth_loss: 0.06112532317638397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6742901802062988, dino_loss: 0.52734375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6012/10000 [16:07:11<8:51:22,  7.99s/it]
                                                         
{'loss': 2.4557, 'grad_norm': 16.761505126953125, 'learning_rate': 1.876673895163542e-05, 'epoch': 0.05}

 60%|██████    | 6012/10000 [16:07:11<8:51:22,  7.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9709679484367371, dino_loss: 0.6953125, depth_loss: 0.0796821117401123, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0515367984771729, dino_loss: 0.72265625, depth_loss: 0.055319786071777344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6013/10000 [16:07:21<9:34:39,  8.65s/it]
                                                         
{'loss': 2.6311, 'grad_norm': 17.150291442871094, 'learning_rate': 1.8758733039066106e-05, 'epoch': 0.05}

 60%|██████    | 6013/10000 [16:07:21<9:34:39,  8.65s/it]the number of masks: 8
seg_loss: 0.6015141606330872, dino_loss: 0.77734375, depth_loss: 0.04146258533000946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8771795034408569, dino_loss: 0.6796875, depth_loss: 0.05257245525717735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6014/10000 [16:07:30<9:32:46,  8.62s/it]
                                                         
{'loss': 2.3287, 'grad_norm': 10.904603004455566, 'learning_rate': 1.8750727809032366e-05, 'epoch': 0.05}

 60%|██████    | 6014/10000 [16:07:30<9:32:46,  8.62s/it]the number of masks: 8
seg_loss: 0.6590737700462341, dino_loss: 0.6796875, depth_loss: 0.05029198154807091, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1770613193511963, dino_loss: 0.7578125, depth_loss: 0.05445265769958496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6015/10000 [16:07:35<8:27:03,  7.63s/it]
                                                         
{'loss': 2.5753, 'grad_norm': 11.358471870422363, 'learning_rate': 1.8742723262409634e-05, 'epoch': 0.05}

 60%|██████    | 6015/10000 [16:07:35<8:27:03,  7.63s/it]the number of masks: 8
seg_loss: 0.7065433859825134, dino_loss: 0.6953125, depth_loss: 0.08451933413743973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7085081934928894, dino_loss: 0.65234375, depth_loss: 0.052345454692840576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6016/10000 [16:07:40<7:43:10,  6.98s/it]
                                                         
{'loss': 2.3799, 'grad_norm': 4.431844711303711, 'learning_rate': 1.873471940007328e-05, 'epoch': 0.05}

 60%|██████    | 6016/10000 [16:07:40<7:43:10,  6.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7595272064208984, dino_loss: 0.7734375, depth_loss: 0.07505510747432709, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8367196321487427, dino_loss: 0.5859375, depth_loss: 0.041588470339775085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6017/10000 [16:07:48<8:04:11,  7.29s/it]
                                                         
{'loss': 2.4167, 'grad_norm': 7.443750858306885, 'learning_rate': 1.8726716222898592e-05, 'epoch': 0.05}

 60%|██████    | 6017/10000 [16:07:48<8:04:11,  7.29s/it]the number of masks: 8
seg_loss: 0.4720695912837982, dino_loss: 0.72265625, depth_loss: 0.06505977362394333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6141027212142944, dino_loss: 0.6875, depth_loss: 0.06967940926551819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6018/10000 [16:07:55<7:43:15,  6.98s/it]
                                                         
{'loss': 1.9794, 'grad_norm': 10.389894485473633, 'learning_rate': 1.871871373176078e-05, 'epoch': 0.05}

 60%|██████    | 6018/10000 [16:07:55<7:43:15,  6.98s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6744107007980347, dino_loss: 0.73828125, depth_loss: 0.05754885822534561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0097908973693848, dino_loss: 0.6484375, depth_loss: 0.07309392094612122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6019/10000 [16:08:01<7:38:49,  6.92s/it]
                                                         
{'loss': 1.8576, 'grad_norm': 10.4729585647583, 'learning_rate': 1.8710711927534996e-05, 'epoch': 0.05}

 60%|██████    | 6019/10000 [16:08:01<7:38:49,  6.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8971668481826782, dino_loss: 0.71484375, depth_loss: 0.062244437634944916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6798688173294067, dino_loss: 0.66015625, depth_loss: 0.07108183950185776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6020/10000 [16:08:08<7:37:41,  6.90s/it]
                                                         
{'loss': 2.1795, 'grad_norm': 8.599879264831543, 'learning_rate': 1.87027108110963e-05, 'epoch': 0.05}

 60%|██████    | 6020/10000 [16:08:08<7:37:41,  6.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7991970777511597, dino_loss: 0.6875, depth_loss: 0.05634227767586708, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6387972831726074, dino_loss: 0.62890625, depth_loss: 0.04930873215198517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6021/10000 [16:08:19<8:46:15,  7.94s/it]
                                                         
{'loss': 1.8987, 'grad_norm': 5.667603492736816, 'learning_rate': 1.8694710383319685e-05, 'epoch': 0.05}

 60%|██████    | 6021/10000 [16:08:19<8:46:15,  7.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9531418085098267, dino_loss: 0.6171875, depth_loss: 0.0653901919722557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7735512852668762, dino_loss: 0.5234375, depth_loss: 0.044133901596069336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6022/10000 [16:08:27<8:55:41,  8.08s/it]
                                                         
{'loss': 2.2674, 'grad_norm': 4.937087059020996, 'learning_rate': 1.868671064508006e-05, 'epoch': 0.05}

 60%|██████    | 6022/10000 [16:08:27<8:55:41,  8.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9060858488082886, dino_loss: 0.73046875, depth_loss: 0.08195298910140991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8999224901199341, dino_loss: 0.65234375, depth_loss: 0.06346891820430756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6023/10000 [16:08:37<9:24:01,  8.51s/it]
                                                         
{'loss': 2.4177, 'grad_norm': 4.329404830932617, 'learning_rate': 1.867871159725227e-05, 'epoch': 0.05}

 60%|██████    | 6023/10000 [16:08:37<9:24:01,  8.51s/it]the number of masks: 8
seg_loss: 0.7378448843955994, dino_loss: 0.58203125, depth_loss: 0.07152484357357025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6982026100158691, dino_loss: 0.6484375, depth_loss: 0.05576908588409424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6024/10000 [16:08:44<9:01:52,  8.18s/it]
                                                         
{'loss': 1.7837, 'grad_norm': 9.449060440063477, 'learning_rate': 1.8670713240711063e-05, 'epoch': 0.05}

 60%|██████    | 6024/10000 [16:08:44<9:01:52,  8.18s/it]seg_loss: 0.0, dino_loss: 0.6484375, depth_loss: 0.07236317545175552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8171573877334595, dino_loss: 0.703125, depth_loss: 0.05360270291566849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6025/10000 [16:08:52<8:58:17,  8.13s/it]
                                                         
{'loss': 2.2127, 'grad_norm': 2.3096518516540527, 'learning_rate': 1.866271557633115e-05, 'epoch': 0.05}

 60%|██████    | 6025/10000 [16:08:52<8:58:17,  8.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7693872451782227, dino_loss: 0.66015625, depth_loss: 0.06312455236911774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8330056667327881, dino_loss: 0.6015625, depth_loss: 0.0664667934179306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6026/10000 [16:08:58<8:24:23,  7.62s/it]
                                                         
{'loss': 2.0982, 'grad_norm': 8.418834686279297, 'learning_rate': 1.8654718604987135e-05, 'epoch': 0.05}

 60%|██████    | 6026/10000 [16:08:58<8:24:23,  7.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9325720071792603, dino_loss: 0.7265625, depth_loss: 0.053053587675094604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7670771479606628, dino_loss: 0.671875, depth_loss: 0.07410754263401031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6027/10000 [16:09:07<8:47:59,  7.97s/it]
                                                         
{'loss': 1.9824, 'grad_norm': 6.354055881500244, 'learning_rate': 1.8646722327553552e-05, 'epoch': 0.05}

 60%|██████    | 6027/10000 [16:09:07<8:47:59,  7.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7462546825408936, dino_loss: 0.65234375, depth_loss: 0.07112830877304077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9533993005752563, dino_loss: 0.58203125, depth_loss: 0.04491081088781357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6028/10000 [16:09:16<9:05:26,  8.24s/it]
                                                         
{'loss': 2.3269, 'grad_norm': 5.896059513092041, 'learning_rate': 1.863872674490486e-05, 'epoch': 0.05}

 60%|██████    | 6028/10000 [16:09:16<9:05:26,  8.24s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9160336852073669, dino_loss: 0.70703125, depth_loss: 0.052694227546453476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9581298828125, dino_loss: 0.671875, depth_loss: 0.05689188092947006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6029/10000 [16:09:25<9:10:34,  8.32s/it]
                                                         
{'loss': 2.3073, 'grad_norm': 5.664361000061035, 'learning_rate': 1.863073185791545e-05, 'epoch': 0.05}

 60%|██████    | 6029/10000 [16:09:25<9:10:34,  8.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7872337102890015, dino_loss: 0.7421875, depth_loss: 0.059501152485609055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8067362308502197, dino_loss: 0.69140625, depth_loss: 0.058273330330848694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6030/10000 [16:09:35<9:50:43,  8.93s/it]
                                                         
{'loss': 2.2355, 'grad_norm': 3.62215518951416, 'learning_rate': 1.8622737667459623e-05, 'epoch': 0.05}

 60%|██████    | 6030/10000 [16:09:35<9:50:43,  8.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8475558757781982, dino_loss: 0.74609375, depth_loss: 0.0560687780380249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7047702670097351, dino_loss: 0.69140625, depth_loss: 0.08072830736637115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6031/10000 [16:09:42<9:19:20,  8.46s/it]
                                                         
{'loss': 2.0005, 'grad_norm': 6.457131862640381, 'learning_rate': 1.8614744174411626e-05, 'epoch': 0.05}

 60%|██████    | 6031/10000 [16:09:42<9:19:20,  8.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8834518194198608, dino_loss: 0.6875, depth_loss: 0.042794957756996155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8155533671379089, dino_loss: 0.67578125, depth_loss: 0.04532511532306671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6032/10000 [16:09:51<9:31:09,  8.64s/it]
                                                         
{'loss': 2.0235, 'grad_norm': 8.192627906799316, 'learning_rate': 1.8606751379645593e-05, 'epoch': 0.05}

 60%|██████    | 6032/10000 [16:09:51<9:31:09,  8.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.760045051574707, dino_loss: 0.6328125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0335657596588135, dino_loss: 0.70703125, depth_loss: 0.06228558346629143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6033/10000 [16:10:00<9:28:14,  8.59s/it]
                                                         
{'loss': 2.5786, 'grad_norm': 5.073063850402832, 'learning_rate': 1.8598759284035626e-05, 'epoch': 0.05}

 60%|██████    | 6033/10000 [16:10:00<9:28:14,  8.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8309755325317383, dino_loss: 0.6953125, depth_loss: 0.061025358736515045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6788375377655029, dino_loss: 0.74609375, depth_loss: 0.09878349304199219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6034/10000 [16:10:10<9:51:03,  8.94s/it]
                                                         
{'loss': 2.2518, 'grad_norm': 5.402339935302734, 'learning_rate': 1.8590767888455723e-05, 'epoch': 0.05}

 60%|██████    | 6034/10000 [16:10:10<9:51:03,  8.94s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8692567944526672, dino_loss: 0.66796875, depth_loss: 0.05069435387849808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.69921875, depth_loss: 0.06798465549945831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6035/10000 [16:10:16<8:50:09,  8.02s/it]
                                                         
{'loss': 2.1135, 'grad_norm': 1.5450071096420288, 'learning_rate': 1.8582777193779805e-05, 'epoch': 0.05}

 60%|██████    | 6035/10000 [16:10:16<8:50:09,  8.02s/it]the number of masks: 8
seg_loss: 0.7382503747940063, dino_loss: 0.73828125, depth_loss: 0.07535006105899811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9629828929901123, dino_loss: 0.67578125, depth_loss: 0.0876452773809433, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6036/10000 [16:10:23<8:31:04,  7.74s/it]
                                                         
{'loss': 2.8076, 'grad_norm': 10.909832954406738, 'learning_rate': 1.8574787200881725e-05, 'epoch': 0.05}

 60%|██████    | 6036/10000 [16:10:23<8:31:04,  7.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.998031497001648, dino_loss: 0.7109375, depth_loss: 0.07839550077915192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.4096146821975708, dino_loss: 0.6484375, depth_loss: 0.04899616166949272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6037/10000 [16:10:31<8:40:45,  7.88s/it]
                                                         
{'loss': 2.3504, 'grad_norm': 8.700735092163086, 'learning_rate': 1.8566797910635243e-05, 'epoch': 0.05}

 60%|██████    | 6037/10000 [16:10:31<8:40:45,  7.88s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1297106742858887, dino_loss: 0.76953125, depth_loss: 0.08051403611898422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9893085360527039, dino_loss: 0.703125, depth_loss: 0.07502380758523941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6038/10000 [16:10:37<8:05:31,  7.35s/it]
                                                         
{'loss': 2.3472, 'grad_norm': 14.784499168395996, 'learning_rate': 1.8558809323914083e-05, 'epoch': 0.05}

 60%|██████    | 6038/10000 [16:10:37<8:05:31,  7.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.336878776550293, dino_loss: 0.6640625, depth_loss: 0.07728484272956848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8880723714828491, dino_loss: 0.671875, depth_loss: 0.04636649414896965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6039/10000 [16:10:43<7:47:44,  7.09s/it]
                                                         
{'loss': 2.7698, 'grad_norm': 4.354684352874756, 'learning_rate': 1.8550821441591855e-05, 'epoch': 0.05}

 60%|██████    | 6039/10000 [16:10:43<7:47:44,  7.09s/it]the number of masks: 8
seg_loss: 0.8226906061172485, dino_loss: 0.67578125, depth_loss: 0.06153854727745056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9533796310424805, dino_loss: 0.63671875, depth_loss: 0.07558273524045944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6040/10000 [16:10:52<8:23:42,  7.63s/it]
                                                         
{'loss': 2.393, 'grad_norm': 6.841946125030518, 'learning_rate': 1.8542834264542092e-05, 'epoch': 0.05}

 60%|██████    | 6040/10000 [16:10:52<8:23:42,  7.63s/it]the number of masks: 8
seg_loss: 0.8876904249191284, dino_loss: 0.6875, depth_loss: 0.0549682192504406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9459424614906311, dino_loss: 0.67578125, depth_loss: 0.05802745744585991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6041/10000 [16:10:59<7:59:58,  7.27s/it]
                                                         
{'loss': 2.2549, 'grad_norm': 4.52779483795166, 'learning_rate': 1.8534847793638266e-05, 'epoch': 0.05}

 60%|██████    | 6041/10000 [16:10:59<7:59:58,  7.27s/it]the number of masks: 8
seg_loss: 0.9765173196792603, dino_loss: 0.703125, depth_loss: 0.06378307193517685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.36912018060684204, dino_loss: 0.6171875, depth_loss: 0.06824459135532379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6042/10000 [16:11:04<7:29:50,  6.82s/it]
                                                         
{'loss': 2.2707, 'grad_norm': 5.8514790534973145, 'learning_rate': 1.8526862029753767e-05, 'epoch': 0.05}

 60%|██████    | 6042/10000 [16:11:04<7:29:50,  6.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.4377228319644928, dino_loss: 0.59765625, depth_loss: 0.05201541259884834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8065308928489685, dino_loss: 0.58984375, depth_loss: 0.05831332132220268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6043/10000 [16:11:13<8:01:50,  7.31s/it]
                                                         
{'loss': 1.9529, 'grad_norm': 4.042272090911865, 'learning_rate': 1.851887697376189e-05, 'epoch': 0.05}

 60%|██████    | 6043/10000 [16:11:13<8:01:50,  7.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.740667998790741, dino_loss: 0.67578125, depth_loss: 0.07661324739456177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0254406929016113, dino_loss: 0.640625, depth_loss: 0.0664730817079544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6044/10000 [16:11:22<8:30:48,  7.75s/it]
                                                         
{'loss': 2.1362, 'grad_norm': 14.711100578308105, 'learning_rate': 1.8510892626535896e-05, 'epoch': 0.05}

 60%|██████    | 6044/10000 [16:11:22<8:30:48,  7.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8398151397705078, dino_loss: 0.625, depth_loss: 0.06323951482772827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7838642597198486, dino_loss: 0.6796875, depth_loss: 0.05630052089691162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6045/10000 [16:11:30<8:47:31,  8.00s/it]
                                                         
{'loss': 2.2093, 'grad_norm': 5.38095760345459, 'learning_rate': 1.850290898894893e-05, 'epoch': 0.05}

 60%|██████    | 6045/10000 [16:11:30<8:47:31,  8.00s/it]the number of masks: 8
seg_loss: 0.5747398138046265, dino_loss: 0.69140625, depth_loss: 0.048691798001527786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8028190732002258, dino_loss: 0.609375, depth_loss: 0.045289378613233566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6046/10000 [16:11:37<8:25:12,  7.67s/it]
                                                         
{'loss': 2.4001, 'grad_norm': 9.83702278137207, 'learning_rate': 1.849492606187407e-05, 'epoch': 0.05}

 60%|██████    | 6046/10000 [16:11:37<8:25:12,  7.67s/it]the number of masks: 8
seg_loss: 0.5134973526000977, dino_loss: 0.6953125, depth_loss: 0.03753945603966713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0058354139328003, dino_loss: 0.69921875, depth_loss: 0.08466503769159317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6047/10000 [16:11:44<8:14:39,  7.51s/it]
                                                         
{'loss': 2.5833, 'grad_norm': 2.565805673599243, 'learning_rate': 1.8486943846184314e-05, 'epoch': 0.05}

 60%|██████    | 6047/10000 [16:11:44<8:14:39,  7.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8990241885185242, dino_loss: 0.6640625, depth_loss: 0.04853203520178795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.052178144454956, dino_loss: 0.71484375, depth_loss: 0.053241826593875885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6048/10000 [16:11:54<8:58:48,  8.18s/it]
                                                         
{'loss': 2.2789, 'grad_norm': 4.7984137535095215, 'learning_rate': 1.8478962342752583e-05, 'epoch': 0.05}

 60%|██████    | 6048/10000 [16:11:54<8:58:48,  8.18s/it]seg_loss: 0.0, dino_loss: 0.6328125, depth_loss: 0.058481160551309586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7851604223251343, dino_loss: 0.65234375, depth_loss: 0.06327489763498306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6049/10000 [16:11:59<7:50:21,  7.14s/it]
                                                         
{'loss': 1.7282, 'grad_norm': 3.1529788970947266, 'learning_rate': 1.8470981552451725e-05, 'epoch': 0.05}

 60%|██████    | 6049/10000 [16:11:59<7:50:21,  7.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9379436373710632, dino_loss: 0.6328125, depth_loss: 0.0674750879406929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8233422040939331, dino_loss: 0.62890625, depth_loss: 0.053144752979278564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 60%|██████    | 6050/10000 [16:12:08<8:23:44,  7.65s/it]
                                                         
{'loss': 2.2612, 'grad_norm': 2.83282208442688, 'learning_rate': 1.8463001476154508e-05, 'epoch': 0.05}

 60%|██████    | 6050/10000 [16:12:08<8:23:44,  7.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0507334470748901, dino_loss: 0.7265625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6957378387451172, dino_loss: 0.61328125, depth_loss: 0.03559529408812523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6051/10000 [16:12:16<8:30:47,  7.76s/it]
                                                         
{'loss': 2.3106, 'grad_norm': 3.4133169651031494, 'learning_rate': 1.8455022114733624e-05, 'epoch': 0.05}

 61%|██████    | 6051/10000 [16:12:16<8:30:47,  7.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9603039622306824, dino_loss: 0.72265625, depth_loss: 0.07511048763990402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8133234977722168, dino_loss: 0.66796875, depth_loss: 0.06235874816775322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6052/10000 [16:12:25<9:01:29,  8.23s/it]
                                                         
{'loss': 2.2538, 'grad_norm': 7.227272987365723, 'learning_rate': 1.844704346906168e-05, 'epoch': 0.05}

 61%|██████    | 6052/10000 [16:12:25<9:01:29,  8.23s/it]the number of masks: 8
seg_loss: 1.0066404342651367, dino_loss: 0.73046875, depth_loss: 0.07914000749588013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.840143084526062, dino_loss: 0.71484375, depth_loss: 0.047844503074884415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6053/10000 [16:12:31<8:11:34,  7.47s/it]
                                                         
{'loss': 2.7532, 'grad_norm': 4.1020026206970215, 'learning_rate': 1.8439065540011207e-05, 'epoch': 0.05}

 61%|██████    | 6053/10000 [16:12:31<8:11:34,  7.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9492109417915344, dino_loss: 0.6875, depth_loss: 0.05972856283187866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.12552011013031, dino_loss: 0.65625, depth_loss: 0.05293931066989899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6054/10000 [16:12:39<8:21:20,  7.62s/it]
                                                         
{'loss': 2.7913, 'grad_norm': 5.968801975250244, 'learning_rate': 1.843108832845467e-05, 'epoch': 0.05}

 61%|██████    | 6054/10000 [16:12:39<8:21:20,  7.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8616412281990051, dino_loss: 0.6796875, depth_loss: 0.05584057793021202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.795050859451294, dino_loss: 0.640625, depth_loss: 0.05642341077327728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6055/10000 [16:12:47<8:32:42,  7.80s/it]
                                                         
{'loss': 2.2538, 'grad_norm': 8.13157844543457, 'learning_rate': 1.8423111835264434e-05, 'epoch': 0.05}

 61%|██████    | 6055/10000 [16:12:47<8:32:42,  7.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8082643747329712, dino_loss: 0.6171875, depth_loss: 0.06756860017776489, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9812262654304504, dino_loss: 0.59765625, depth_loss: 0.05184795707464218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6056/10000 [16:12:56<8:56:59,  8.17s/it]
                                                         
{'loss': 2.3016, 'grad_norm': 15.464434623718262, 'learning_rate': 1.84151360613128e-05, 'epoch': 0.05}

 61%|██████    | 6056/10000 [16:12:56<8:56:59,  8.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8796948194503784, dino_loss: 0.671875, depth_loss: 0.04601313918828964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9688202738761902, dino_loss: 0.65625, depth_loss: 0.044426169246435165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6057/10000 [16:13:05<9:15:56,  8.46s/it]
                                                         
{'loss': 2.284, 'grad_norm': 5.024643421173096, 'learning_rate': 1.8407161007471978e-05, 'epoch': 0.05}

 61%|██████    | 6057/10000 [16:13:05<9:15:56,  8.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6103583574295044, dino_loss: 0.6953125, depth_loss: 0.06469111144542694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8370257019996643, dino_loss: 0.70703125, depth_loss: 0.061071790754795074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6058/10000 [16:13:12<8:55:15,  8.15s/it]
                                                         
{'loss': 2.0873, 'grad_norm': 5.039304256439209, 'learning_rate': 1.8399186674614126e-05, 'epoch': 0.05}

 61%|██████    | 6058/10000 [16:13:12<8:55:15,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0603281259536743, dino_loss: 0.6015625, depth_loss: 0.04557529091835022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9427610039710999, dino_loss: 0.7265625, depth_loss: 0.10194016993045807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6059/10000 [16:13:20<8:50:09,  8.07s/it]
                                                         
{'loss': 2.5613, 'grad_norm': 7.543537616729736, 'learning_rate': 1.8391213063611293e-05, 'epoch': 0.05}

 61%|██████    | 6059/10000 [16:13:20<8:50:09,  8.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0833766460418701, dino_loss: 0.6640625, depth_loss: 0.0735839307308197, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8402864336967468, dino_loss: 0.75, depth_loss: 0.07164223492145538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6060/10000 [16:13:29<8:59:32,  8.22s/it]
                                                         
{'loss': 2.5587, 'grad_norm': 3.511875629425049, 'learning_rate': 1.8383240175335464e-05, 'epoch': 0.05}

 61%|██████    | 6060/10000 [16:13:29<8:59:32,  8.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8161381483078003, dino_loss: 0.6875, depth_loss: 0.060386039316654205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7902558445930481, dino_loss: 0.68359375, depth_loss: 0.04200061410665512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6061/10000 [16:13:41<10:07:46,  9.26s/it]
                                                          
{'loss': 2.3605, 'grad_norm': 5.2346649169921875, 'learning_rate': 1.8375268010658543e-05, 'epoch': 0.05}

 61%|██████    | 6061/10000 [16:13:41<10:07:46,  9.26s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.008249044418335, dino_loss: 0.69921875, depth_loss: 0.08170171082019806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7919195890426636, dino_loss: 0.69140625, depth_loss: 0.0720752626657486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6062/10000 [16:13:49<9:45:58,  8.93s/it] 
                                                         
{'loss': 2.613, 'grad_norm': 4.02094030380249, 'learning_rate': 1.8367296570452338e-05, 'epoch': 0.05}

 61%|██████    | 6062/10000 [16:13:49<9:45:58,  8.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1382226943969727, dino_loss: 0.73046875, depth_loss: 0.05300427973270416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9642764329910278, dino_loss: 0.65625, depth_loss: 0.06288503110408783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6063/10000 [16:13:59<10:12:20,  9.33s/it]
                                                          
{'loss': 2.5193, 'grad_norm': 3.9006028175354004, 'learning_rate': 1.835932585558862e-05, 'epoch': 0.05}

 61%|██████    | 6063/10000 [16:13:59<10:12:20,  9.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8575634956359863, dino_loss: 0.703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.845028817653656, dino_loss: 0.62109375, depth_loss: 0.043610747903585434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6064/10000 [16:14:08<10:09:28,  9.29s/it]
                                                          
{'loss': 1.9432, 'grad_norm': 3.9359588623046875, 'learning_rate': 1.8351355866939047e-05, 'epoch': 0.05}

 61%|██████    | 6064/10000 [16:14:08<10:09:28,  9.29s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9415274858474731, dino_loss: 0.6953125, depth_loss: 0.051863379776477814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0221245288848877, dino_loss: 0.75390625, depth_loss: 0.07440212368965149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6065/10000 [16:14:17<9:49:29,  8.99s/it] 
                                                         
{'loss': 2.4722, 'grad_norm': 4.796392917633057, 'learning_rate': 1.8343386605375192e-05, 'epoch': 0.05}

 61%|██████    | 6065/10000 [16:14:17<9:49:29,  8.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6570167541503906, dino_loss: 0.6796875, depth_loss: 0.07005735486745834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8391318917274475, dino_loss: 0.5234375, depth_loss: 0.04857015609741211, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6066/10000 [16:14:26<10:04:58,  9.23s/it]
                                                          
{'loss': 2.3084, 'grad_norm': 2.7313084602355957, 'learning_rate': 1.8335418071768576e-05, 'epoch': 0.05}

 61%|██████    | 6066/10000 [16:14:26<10:04:58,  9.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8592526316642761, dino_loss: 0.73046875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8099345564842224, dino_loss: 0.60546875, depth_loss: 0.06090512126684189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6067/10000 [16:14:33<9:16:30,  8.49s/it] 
                                                         
{'loss': 2.2501, 'grad_norm': 7.480556488037109, 'learning_rate': 1.8327450266990616e-05, 'epoch': 0.05}

 61%|██████    | 6067/10000 [16:14:33<9:16:30,  8.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9706750512123108, dino_loss: 0.66015625, depth_loss: 0.0783703625202179, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6953125, depth_loss: 0.05791439861059189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6068/10000 [16:14:38<8:10:58,  7.49s/it]
                                                         
{'loss': 2.0772, 'grad_norm': 2.724433660507202, 'learning_rate': 1.8319483191912668e-05, 'epoch': 0.05}

 61%|██████    | 6068/10000 [16:14:38<8:10:58,  7.49s/it]the number of masks: 8
seg_loss: 0.9078001976013184, dino_loss: 0.55859375, depth_loss: 0.0522887259721756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9460510015487671, dino_loss: 0.73828125, depth_loss: 0.08047424256801605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6069/10000 [16:14:44<7:37:17,  6.98s/it]
                                                         
{'loss': 2.4668, 'grad_norm': 3.351475238800049, 'learning_rate': 1.8311516847405977e-05, 'epoch': 0.05}

 61%|██████    | 6069/10000 [16:14:44<7:37:17,  6.98s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8577263355255127, dino_loss: 0.65625, depth_loss: 0.07070577144622803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6380598545074463, dino_loss: 0.6328125, depth_loss: 0.06490953266620636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6070/10000 [16:14:52<7:59:27,  7.32s/it]
                                                         
{'loss': 2.2475, 'grad_norm': 7.964864253997803, 'learning_rate': 1.8303551234341763e-05, 'epoch': 0.05}

 61%|██████    | 6070/10000 [16:14:52<7:59:27,  7.32s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.062427043914795, dino_loss: 0.0, depth_loss: 0.04759812727570534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8245985507965088, dino_loss: 0.70703125, depth_loss: 0.06786107271909714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6071/10000 [16:14:59<7:49:44,  7.17s/it]
                                                         
{'loss': 1.7749, 'grad_norm': 4.249490737915039, 'learning_rate': 1.8295586353591115e-05, 'epoch': 0.05}

 61%|██████    | 6071/10000 [16:14:59<7:49:44,  7.17s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.137842059135437, dino_loss: 0.703125, depth_loss: 0.06511268019676208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7187188863754272, dino_loss: 0.66796875, depth_loss: 0.06699253618717194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6072/10000 [16:15:07<8:01:20,  7.35s/it]
                                                         
{'loss': 2.329, 'grad_norm': 3.0154213905334473, 'learning_rate': 1.828762220602506e-05, 'epoch': 0.05}

 61%|██████    | 6072/10000 [16:15:07<8:01:20,  7.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7164232730865479, dino_loss: 0.60546875, depth_loss: 0.05317021906375885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8512594103813171, dino_loss: 0.71484375, depth_loss: 0.05429016053676605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6073/10000 [16:15:16<8:38:43,  7.93s/it]
                                                         
{'loss': 1.9135, 'grad_norm': 5.099632740020752, 'learning_rate': 1.8279658792514558e-05, 'epoch': 0.05}

 61%|██████    | 6073/10000 [16:15:16<8:38:43,  7.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.119170904159546, dino_loss: 0.6640625, depth_loss: 0.057505570352077484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0334951877593994, dino_loss: 0.6796875, depth_loss: 0.08072372525930405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6074/10000 [16:15:23<8:22:19,  7.68s/it]
                                                         
{'loss': 2.2942, 'grad_norm': 5.970974445343018, 'learning_rate': 1.8271696113930457e-05, 'epoch': 0.05}

 61%|██████    | 6074/10000 [16:15:23<8:22:19,  7.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7956329584121704, dino_loss: 0.6328125, depth_loss: 0.06084359809756279, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7262796759605408, dino_loss: 0.69921875, depth_loss: 0.06630831956863403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6075/10000 [16:15:30<8:15:58,  7.58s/it]
                                                         
{'loss': 2.2406, 'grad_norm': 4.0734782218933105, 'learning_rate': 1.826373417114355e-05, 'epoch': 0.05}

 61%|██████    | 6075/10000 [16:15:30<8:15:58,  7.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8609580397605896, dino_loss: 0.7578125, depth_loss: 0.07794097810983658, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0913565158843994, dino_loss: 0.609375, depth_loss: 0.04339355230331421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6076/10000 [16:15:39<8:41:17,  7.97s/it]
                                                         
{'loss': 2.29, 'grad_norm': 6.2573418617248535, 'learning_rate': 1.8255772965024554e-05, 'epoch': 0.05}

 61%|██████    | 6076/10000 [16:15:39<8:41:17,  7.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.009209156036377, dino_loss: 0.71875, depth_loss: 0.06046022102236748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8212385177612305, dino_loss: 0.62109375, depth_loss: 0.053798045963048935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6077/10000 [16:15:49<9:19:34,  8.56s/it]
                                                         
{'loss': 2.342, 'grad_norm': 4.31320858001709, 'learning_rate': 1.824781249644409e-05, 'epoch': 0.05}

 61%|██████    | 6077/10000 [16:15:49<9:19:34,  8.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6960203647613525, dino_loss: 0.6171875, depth_loss: 0.059734176844358444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6680672764778137, dino_loss: 0.734375, depth_loss: 0.07976438105106354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6078/10000 [16:15:56<8:53:09,  8.16s/it]
                                                         
{'loss': 2.0763, 'grad_norm': 3.938991069793701, 'learning_rate': 1.823985276627269e-05, 'epoch': 0.05}

 61%|██████    | 6078/10000 [16:15:56<8:53:09,  8.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.894295871257782, dino_loss: 0.65625, depth_loss: 0.06579657644033432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0112498998641968, dino_loss: 0.66796875, depth_loss: 0.06394948065280914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6079/10000 [16:16:05<8:56:38,  8.21s/it]
                                                         
{'loss': 2.2616, 'grad_norm': 3.370471954345703, 'learning_rate': 1.8231893775380833e-05, 'epoch': 0.05}

 61%|██████    | 6079/10000 [16:16:05<8:56:38,  8.21s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.83393394947052, dino_loss: 0.671875, depth_loss: 0.03084891475737095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.7578125, depth_loss: 0.059960633516311646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6080/10000 [16:16:10<7:59:46,  7.34s/it]
                                                         
{'loss': 2.0931, 'grad_norm': 3.2661211490631104, 'learning_rate': 1.8223935524638898e-05, 'epoch': 0.05}

 61%|██████    | 6080/10000 [16:16:10<7:59:46,  7.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8677111864089966, dino_loss: 0.75390625, depth_loss: 0.07695461809635162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.913615345954895, dino_loss: 0.6796875, depth_loss: 0.04536888748407364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6081/10000 [16:16:20<8:49:43,  8.11s/it]
                                                         
{'loss': 2.6897, 'grad_norm': 2.7920873165130615, 'learning_rate': 1.821597801491718e-05, 'epoch': 0.05}

 61%|██████    | 6081/10000 [16:16:20<8:49:43,  8.11s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6254759430885315, dino_loss: 0.734375, depth_loss: 0.0786149650812149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.134013056755066, dino_loss: 0.6328125, depth_loss: 0.048469990491867065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6082/10000 [16:16:26<8:10:08,  7.51s/it]
                                                         
{'loss': 1.7001, 'grad_norm': 4.565807342529297, 'learning_rate': 1.820802124708591e-05, 'epoch': 0.05}

 61%|██████    | 6082/10000 [16:16:26<8:10:08,  7.51s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8727163076400757, dino_loss: 0.66796875, depth_loss: 0.04981638863682747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8424820899963379, dino_loss: 0.69921875, depth_loss: 0.07957658916711807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6083/10000 [16:16:35<8:43:53,  8.02s/it]
                                                         
{'loss': 2.1778, 'grad_norm': 2.7950439453125, 'learning_rate': 1.820006522201523e-05, 'epoch': 0.05}

 61%|██████    | 6083/10000 [16:16:35<8:43:53,  8.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7430300712585449, dino_loss: 0.65234375, depth_loss: 0.06092221289873123, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8729739189147949, dino_loss: 0.64453125, depth_loss: 0.05844736844301224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6084/10000 [16:16:45<9:15:00,  8.50s/it]
                                                         
{'loss': 1.916, 'grad_norm': 2.228316307067871, 'learning_rate': 1.8192109940575193e-05, 'epoch': 0.05}

 61%|██████    | 6084/10000 [16:16:45<9:15:00,  8.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6108531951904297, dino_loss: 0.6796875, depth_loss: 0.05026740953326225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7902674674987793, dino_loss: 0.671875, depth_loss: 0.0511883907020092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6085/10000 [16:16:53<9:11:22,  8.45s/it]
                                                         
{'loss': 2.0031, 'grad_norm': 4.088411808013916, 'learning_rate': 1.818415540363577e-05, 'epoch': 0.05}

 61%|██████    | 6085/10000 [16:16:53<9:11:22,  8.45s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0284438133239746, dino_loss: 0.7421875, depth_loss: 0.04847239702939987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5771771669387817, dino_loss: 0.57421875, depth_loss: 0.05813835561275482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6086/10000 [16:17:01<8:56:50,  8.23s/it]
                                                         
{'loss': 2.3368, 'grad_norm': 13.627901077270508, 'learning_rate': 1.817620161206687e-05, 'epoch': 0.05}

 61%|██████    | 6086/10000 [16:17:01<8:56:50,  8.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9449223875999451, dino_loss: 0.65234375, depth_loss: 0.048201851546764374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.2799012660980225, dino_loss: 0.734375, depth_loss: 0.08057944476604462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6087/10000 [16:17:07<8:18:47,  7.65s/it]
                                                         
{'loss': 2.5319, 'grad_norm': 5.980828762054443, 'learning_rate': 1.8168248566738308e-05, 'epoch': 0.05}

 61%|██████    | 6087/10000 [16:17:07<8:18:47,  7.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7646428942680359, dino_loss: 0.74609375, depth_loss: 0.0591801181435585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.932365894317627, dino_loss: 0.0, depth_loss: 0.048076972365379333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6088/10000 [16:17:16<8:31:50,  7.85s/it]
                                                         
{'loss': 2.1051, 'grad_norm': 4.876039505004883, 'learning_rate': 1.8160296268519794e-05, 'epoch': 0.05}

 61%|██████    | 6088/10000 [16:17:16<8:31:50,  7.85s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9258660674095154, dino_loss: 0.70703125, depth_loss: 0.0653143972158432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8983277082443237, dino_loss: 0.6875, depth_loss: 0.05769769847393036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6089/10000 [16:17:24<8:38:52,  7.96s/it]
                                                         
{'loss': 2.4035, 'grad_norm': 2.9127509593963623, 'learning_rate': 1.815234471828101e-05, 'epoch': 0.05}

 61%|██████    | 6089/10000 [16:17:24<8:38:52,  7.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8443131446838379, dino_loss: 0.0, depth_loss: 0.06992127001285553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8656458258628845, dino_loss: 0.62890625, depth_loss: 0.06711151450872421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6090/10000 [16:17:33<9:11:28,  8.46s/it]
                                                         
{'loss': 2.1396, 'grad_norm': 4.533393859863281, 'learning_rate': 1.814439391689151e-05, 'epoch': 0.05}

 61%|██████    | 6090/10000 [16:17:33<9:11:28,  8.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6521177887916565, dino_loss: 0.77734375, depth_loss: 0.04990837723016739, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8639876842498779, dino_loss: 0.71875, depth_loss: 0.06186869367957115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6091/10000 [16:17:43<9:24:03,  8.66s/it]
                                                         
{'loss': 2.4961, 'grad_norm': 4.287520408630371, 'learning_rate': 1.8136443865220787e-05, 'epoch': 0.05}

 61%|██████    | 6091/10000 [16:17:43<9:24:03,  8.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8935586214065552, dino_loss: 0.66015625, depth_loss: 0.05847642943263054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0148608684539795, dino_loss: 0.65625, depth_loss: 0.05265309661626816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6092/10000 [16:17:50<9:01:04,  8.31s/it]
                                                         
{'loss': 2.5209, 'grad_norm': 25.063316345214844, 'learning_rate': 1.8128494564138242e-05, 'epoch': 0.05}

 61%|██████    | 6092/10000 [16:17:50<9:01:04,  8.31s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9657599925994873, dino_loss: 0.69140625, depth_loss: 0.04906172305345535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0047730207443237, dino_loss: 0.66796875, depth_loss: 0.07703244686126709, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6093/10000 [16:17:58<8:47:15,  8.10s/it]
                                                         
{'loss': 2.3558, 'grad_norm': 4.598368167877197, 'learning_rate': 1.81205460145132e-05, 'epoch': 0.05}

 61%|██████    | 6093/10000 [16:17:58<8:47:15,  8.10s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7979367971420288, dino_loss: 0.6796875, depth_loss: 0.07359067350625992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1301414966583252, dino_loss: 0.57421875, depth_loss: 0.03881433606147766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6094/10000 [16:18:04<8:05:34,  7.46s/it]
                                                         
{'loss': 1.992, 'grad_norm': 5.728954315185547, 'learning_rate': 1.8112598217214892e-05, 'epoch': 0.05}

 61%|██████    | 6094/10000 [16:18:04<8:05:34,  7.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8354952335357666, dino_loss: 0.59765625, depth_loss: 0.06749758124351501, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7818326950073242, dino_loss: 0.71484375, depth_loss: 0.064205102622509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6095/10000 [16:18:12<8:23:40,  7.74s/it]
                                                         
{'loss': 2.343, 'grad_norm': 4.898044586181641, 'learning_rate': 1.8104651173112503e-05, 'epoch': 0.05}

 61%|██████    | 6095/10000 [16:18:12<8:23:40,  7.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9556434154510498, dino_loss: 0.6484375, depth_loss: 0.04390349239110947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7528382539749146, dino_loss: 0.6640625, depth_loss: 0.06391206383705139, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6096/10000 [16:18:22<9:04:36,  8.37s/it]
                                                         
{'loss': 2.4103, 'grad_norm': 3.8059258460998535, 'learning_rate': 1.8096704883075087e-05, 'epoch': 0.05}

 61%|██████    | 6096/10000 [16:18:22<9:04:36,  8.37s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0022222995758057, dino_loss: 0.0, depth_loss: 0.0663367435336113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.89802485704422, dino_loss: 0.703125, depth_loss: 0.06527331471443176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6097/10000 [16:18:29<8:40:20,  8.00s/it]
                                                         
{'loss': 1.8176, 'grad_norm': 3.9590299129486084, 'learning_rate': 1.808875934797165e-05, 'epoch': 0.05}

 61%|██████    | 6097/10000 [16:18:29<8:40:20,  8.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9589059948921204, dino_loss: 0.66015625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9064649939537048, dino_loss: 0.671875, depth_loss: 0.06888007372617722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6098/10000 [16:18:36<8:23:22,  7.74s/it]
                                                         
{'loss': 2.5834, 'grad_norm': 8.0248384475708, 'learning_rate': 1.80808145686711e-05, 'epoch': 0.05}

 61%|██████    | 6098/10000 [16:18:36<8:23:22,  7.74s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7742171287536621, dino_loss: 0.66796875, depth_loss: 0.056393157690763474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8925642371177673, dino_loss: 0.609375, depth_loss: 0.08656373620033264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6099/10000 [16:18:45<8:45:26,  8.08s/it]
                                                         
{'loss': 2.3753, 'grad_norm': 4.168548583984375, 'learning_rate': 1.8072870546042262e-05, 'epoch': 0.05}

 61%|██████    | 6099/10000 [16:18:45<8:45:26,  8.08s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8353824615478516, dino_loss: 0.6328125, depth_loss: 0.0481770783662796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7849536538124084, dino_loss: 0.64453125, depth_loss: 0.06566415727138519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6100/10000 [16:18:55<9:19:34,  8.61s/it]
                                                         
{'loss': 2.2466, 'grad_norm': 2.452512741088867, 'learning_rate': 1.806492728095389e-05, 'epoch': 0.05}

 61%|██████    | 6100/10000 [16:18:55<9:19:34,  8.61s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9593222141265869, dino_loss: 0.65625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8168362975120544, dino_loss: 0.70703125, depth_loss: 0.0405416376888752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6101/10000 [16:19:03<9:03:20,  8.36s/it]
                                                         
{'loss': 2.0381, 'grad_norm': 2.9871175289154053, 'learning_rate': 1.805698477427464e-05, 'epoch': 0.05}

 61%|██████    | 6101/10000 [16:19:03<9:03:20,  8.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.7114682197570801, dino_loss: 0.67578125, depth_loss: 0.09624021500349045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9008351564407349, dino_loss: 0.62890625, depth_loss: 0.04905383661389351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6102/10000 [16:19:11<8:57:42,  8.28s/it]
                                                         
{'loss': 1.7961, 'grad_norm': 8.058927536010742, 'learning_rate': 1.8049043026873096e-05, 'epoch': 0.05}

 61%|██████    | 6102/10000 [16:19:11<8:57:42,  8.28s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.00533127784729, dino_loss: 0.6484375, depth_loss: 0.05731847137212753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7134207487106323, dino_loss: 0.69140625, depth_loss: 0.06358875334262848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6103/10000 [16:19:17<8:17:19,  7.66s/it]
                                                         
{'loss': 2.155, 'grad_norm': 10.137011528015137, 'learning_rate': 1.804110203961776e-05, 'epoch': 0.05}

 61%|██████    | 6103/10000 [16:19:17<8:17:19,  7.66s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6639329195022583, dino_loss: 0.6328125, depth_loss: 0.040757834911346436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8574918508529663, dino_loss: 0.71484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6104/10000 [16:19:24<8:14:35,  7.62s/it]
                                                         
{'loss': 1.9895, 'grad_norm': 3.1005237102508545, 'learning_rate': 1.803316181337704e-05, 'epoch': 0.05}

 61%|██████    | 6104/10000 [16:19:24<8:14:35,  7.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7238152027130127, dino_loss: 0.58984375, depth_loss: 0.04159719496965408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0436875820159912, dino_loss: 0.69921875, depth_loss: 0.05465731397271156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6105/10000 [16:19:32<8:15:27,  7.63s/it]
                                                         
{'loss': 2.6113, 'grad_norm': 5.263707637786865, 'learning_rate': 1.802522234901927e-05, 'epoch': 0.05}

 61%|██████    | 6105/10000 [16:19:32<8:15:27,  7.63s/it]the number of masks: 7
seg_loss: 0.8468893766403198, dino_loss: 0.64453125, depth_loss: 0.0747460275888443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7820993661880493, dino_loss: 0.71875, depth_loss: 0.046070557087659836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6106/10000 [16:19:39<7:58:56,  7.38s/it]
                                                         
{'loss': 2.2051, 'grad_norm': 11.342692375183105, 'learning_rate': 1.8017283647412704e-05, 'epoch': 0.05}

 61%|██████    | 6106/10000 [16:19:39<7:58:56,  7.38s/it]seg_loss: 0.0, dino_loss: 0.6640625, depth_loss: 0.04780055582523346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0431551933288574, dino_loss: 0.71875, depth_loss: 0.0673024132847786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6107/10000 [16:19:43<6:57:54,  6.44s/it]
                                                         
{'loss': 2.0425, 'grad_norm': 2.7123770713806152, 'learning_rate': 1.8009345709425486e-05, 'epoch': 0.05}

 61%|██████    | 6107/10000 [16:19:43<6:57:54,  6.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1035943031311035, dino_loss: 0.68359375, depth_loss: 0.05029814690351486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7419012784957886, dino_loss: 0.66015625, depth_loss: 0.06055745482444763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6108/10000 [16:19:51<7:18:34,  6.76s/it]
                                                         
{'loss': 2.6053, 'grad_norm': 4.864616870880127, 'learning_rate': 1.8001408535925717e-05, 'epoch': 0.05}

 61%|██████    | 6108/10000 [16:19:51<7:18:34,  6.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9814411401748657, dino_loss: 0.74609375, depth_loss: 0.0608241967856884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9120461344718933, dino_loss: 0.703125, depth_loss: 0.07726432383060455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6109/10000 [16:19:59<7:55:35,  7.33s/it]
                                                         
{'loss': 2.6269, 'grad_norm': 6.524087429046631, 'learning_rate': 1.799347212778139e-05, 'epoch': 0.05}

 61%|██████    | 6109/10000 [16:19:59<7:55:35,  7.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9973867535591125, dino_loss: 0.69921875, depth_loss: 0.05942779779434204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.72265625, depth_loss: 0.04162334278225899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6110/10000 [16:20:05<7:23:45,  6.84s/it]
                                                         
{'loss': 1.8008, 'grad_norm': 2.931467056274414, 'learning_rate': 1.798553648586042e-05, 'epoch': 0.05}

 61%|██████    | 6110/10000 [16:20:05<7:23:45,  6.84s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6396896243095398, dino_loss: 0.59765625, depth_loss: 0.04258173704147339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7416990995407104, dino_loss: 0.75390625, depth_loss: 0.06911744177341461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6111/10000 [16:20:13<7:54:11,  7.32s/it]
                                                         
{'loss': 1.8726, 'grad_norm': 3.9683563709259033, 'learning_rate': 1.7977601611030633e-05, 'epoch': 0.05}

 61%|██████    | 6111/10000 [16:20:13<7:54:11,  7.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8746899962425232, dino_loss: 0.76171875, depth_loss: 0.07719689607620239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0683437585830688, dino_loss: 0.8125, depth_loss: 0.06355736404657364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6112/10000 [16:20:23<8:32:47,  7.91s/it]
                                                         
{'loss': 2.5009, 'grad_norm': 16.47687339782715, 'learning_rate': 1.7969667504159775e-05, 'epoch': 0.05}

 61%|██████    | 6112/10000 [16:20:23<8:32:47,  7.91s/it]the number of masks: 8
seg_loss: 0.43023595213890076, dino_loss: 0.5078125, depth_loss: 0.051832884550094604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8937739133834839, dino_loss: 0.75, depth_loss: 0.081292062997818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6113/10000 [16:20:30<8:11:57,  7.59s/it]
                                                         
{'loss': 2.2781, 'grad_norm': 2.8210010528564453, 'learning_rate': 1.79617341661155e-05, 'epoch': 0.05}

 61%|██████    | 6113/10000 [16:20:30<8:11:57,  7.59s/it]seg_loss: 0.0, dino_loss: 0.73046875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8364342451095581, dino_loss: 0.765625, depth_loss: 0.060031525790691376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6114/10000 [16:20:34<7:02:13,  6.52s/it]
                                                         
{'loss': 1.6103, 'grad_norm': 3.1151371002197266, 'learning_rate': 1.7953801597765405e-05, 'epoch': 0.05}

 61%|██████    | 6114/10000 [16:20:34<7:02:13,  6.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7944058179855347, dino_loss: 0.69921875, depth_loss: 0.06373981386423111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.5078125, depth_loss: 0.08302436769008636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6115/10000 [16:20:40<7:07:24,  6.60s/it]
                                                         
{'loss': 1.6859, 'grad_norm': 2.713900566101074, 'learning_rate': 1.7945869799976973e-05, 'epoch': 0.05}

 61%|██████    | 6115/10000 [16:20:40<7:07:24,  6.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9354857802391052, dino_loss: 0.66796875, depth_loss: 0.06938037276268005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.006050705909729, dino_loss: 0.7265625, depth_loss: 0.11357864737510681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6116/10000 [16:20:50<8:01:51,  7.44s/it]
                                                         
{'loss': 2.8396, 'grad_norm': 5.083333969116211, 'learning_rate': 1.7937938773617614e-05, 'epoch': 0.06}

 61%|██████    | 6116/10000 [16:20:50<8:01:51,  7.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1054483652114868, dino_loss: 0.68359375, depth_loss: 0.05872632563114166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6237375140190125, dino_loss: 0.64453125, depth_loss: 0.07136744260787964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6117/10000 [16:20:58<8:20:21,  7.73s/it]
                                                         
{'loss': 2.0372, 'grad_norm': 7.810945987701416, 'learning_rate': 1.793000851955465e-05, 'epoch': 0.06}

 61%|██████    | 6117/10000 [16:20:58<8:20:21,  7.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.9418808817863464, dino_loss: 0.6796875, depth_loss: 0.03986136615276337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9833441972732544, dino_loss: 0.72265625, depth_loss: 0.05220795422792435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6118/10000 [16:21:08<8:54:36,  8.26s/it]
                                                         
{'loss': 2.5364, 'grad_norm': 3.8276102542877197, 'learning_rate': 1.7922079038655326e-05, 'epoch': 0.06}

 61%|██████    | 6118/10000 [16:21:08<8:54:36,  8.26s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8040157556533813, dino_loss: 0.6796875, depth_loss: 0.06806640326976776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0092037916183472, dino_loss: 0.6953125, depth_loss: 0.05935025215148926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6119/10000 [16:21:16<8:56:48,  8.30s/it]
                                                         
{'loss': 2.1981, 'grad_norm': 4.416284084320068, 'learning_rate': 1.79141503317868e-05, 'epoch': 0.06}

 61%|██████    | 6119/10000 [16:21:16<8:56:48,  8.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8715455532073975, dino_loss: 0.6484375, depth_loss: 0.0507502518594265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6010653376579285, dino_loss: 0.6875, depth_loss: 0.033714234828948975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6120/10000 [16:21:24<8:55:08,  8.28s/it]
                                                         
{'loss': 2.2855, 'grad_norm': 4.324146270751953, 'learning_rate': 1.7906222399816124e-05, 'epoch': 0.06}

 61%|██████    | 6120/10000 [16:21:24<8:55:08,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9546331167221069, dino_loss: 0.73046875, depth_loss: 0.08712542057037354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
seg_loss: 0.5475466847419739, dino_loss: 0.6796875, depth_loss: 0.05532106012105942, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6121/10000 [16:21:33<8:57:39,  8.32s/it]
                                                         
{'loss': 2.219, 'grad_norm': 7.011447429656982, 'learning_rate': 1.789829524361032e-05, 'epoch': 0.06}

 61%|██████    | 6121/10000 [16:21:33<8:57:39,  8.32s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0274302959442139, dino_loss: 0.65625, depth_loss: 0.03998599573969841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8292921781539917, dino_loss: 0.69921875, depth_loss: 0.06919047236442566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6122/10000 [16:21:41<8:57:01,  8.31s/it]
                                                         
{'loss': 2.6731, 'grad_norm': 3.332423448562622, 'learning_rate': 1.7890368864036266e-05, 'epoch': 0.06}

 61%|██████    | 6122/10000 [16:21:41<8:57:01,  8.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7802165746688843, dino_loss: 0.66015625, depth_loss: 0.06383796036243439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7079521417617798, dino_loss: 0.69140625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6123/10000 [16:21:49<8:40:58,  8.06s/it]
                                                         
{'loss': 2.2633, 'grad_norm': 7.030768394470215, 'learning_rate': 1.7882443261960783e-05, 'epoch': 0.06}

 61%|██████    | 6123/10000 [16:21:49<8:40:58,  8.06s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9432320594787598, dino_loss: 0.66796875, depth_loss: 0.046107836067676544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.868730902671814, dino_loss: 0.8125, depth_loss: 0.06319158524274826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████    | 6124/10000 [16:21:55<8:18:10,  7.71s/it]
                                                         
{'loss': 2.023, 'grad_norm': 7.151821136474609, 'learning_rate': 1.7874518438250597e-05, 'epoch': 0.06}

 61%|██████    | 6124/10000 [16:21:55<8:18:10,  7.71s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.7007483839988708, dino_loss: 0.6796875, depth_loss: 0.056717537343502045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.027331829071045, dino_loss: 0.75390625, depth_loss: 0.049971528351306915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6125/10000 [16:22:03<8:10:18,  7.59s/it]
                                                         
{'loss': 1.8762, 'grad_norm': 3.9767112731933594, 'learning_rate': 1.7866594393772373e-05, 'epoch': 0.06}

 61%|██████▏   | 6125/10000 [16:22:03<8:10:18,  7.59s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8125133514404297, dino_loss: 0.68359375, depth_loss: 0.04740440100431442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8726615905761719, dino_loss: 0.66796875, depth_loss: 0.04630406200885773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6126/10000 [16:22:13<8:52:54,  8.25s/it]
                                                         
{'loss': 2.322, 'grad_norm': 5.023403167724609, 'learning_rate': 1.785867112939265e-05, 'epoch': 0.06}

 61%|██████▏   | 6126/10000 [16:22:13<8:52:54,  8.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8524407148361206, dino_loss: 0.0, depth_loss: 0.05800573527812958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9769658446311951, dino_loss: 0.66796875, depth_loss: 0.06797849386930466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6127/10000 [16:22:23<9:36:36,  8.93s/it]
                                                         
{'loss': 2.3012, 'grad_norm': 3.53586745262146, 'learning_rate': 1.7850748645977923e-05, 'epoch': 0.06}

 61%|██████▏   | 6127/10000 [16:22:23<9:36:36,  8.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.949179470539093, dino_loss: 0.0, depth_loss: 0.0391424223780632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9886996746063232, dino_loss: 0.69921875, depth_loss: 0.07144865393638611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6128/10000 [16:22:31<9:07:48,  8.49s/it]
                                                         
{'loss': 2.1671, 'grad_norm': 5.097012996673584, 'learning_rate': 1.784282694439457e-05, 'epoch': 0.06}

 61%|██████▏   | 6128/10000 [16:22:31<9:07:48,  8.49s/it]the number of masks: 8
seg_loss: 0.9600765705108643, dino_loss: 0.72265625, depth_loss: 0.044192779809236526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6875056028366089, dino_loss: 0.7421875, depth_loss: 0.07431131601333618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6129/10000 [16:22:38<8:48:36,  8.19s/it]
                                                         
{'loss': 2.5381, 'grad_norm': 3.9334752559661865, 'learning_rate': 1.7834906025508906e-05, 'epoch': 0.06}

 61%|██████▏   | 6129/10000 [16:22:38<8:48:36,  8.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8934182524681091, dino_loss: 0.7421875, depth_loss: 0.051288437098264694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7962980270385742, dino_loss: 0.66796875, depth_loss: 0.06887634098529816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6130/10000 [16:22:46<8:50:55,  8.23s/it]
                                                         
{'loss': 2.1858, 'grad_norm': 2.555924654006958, 'learning_rate': 1.7826985890187148e-05, 'epoch': 0.06}

 61%|██████▏   | 6130/10000 [16:22:46<8:50:55,  8.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.828044056892395, dino_loss: 0.671875, depth_loss: 0.057757072150707245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8829022645950317, dino_loss: 0.72265625, depth_loss: 0.05384911596775055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6131/10000 [16:22:53<8:14:40,  7.67s/it]
                                                         
{'loss': 2.1139, 'grad_norm': 6.713780879974365, 'learning_rate': 1.7819066539295432e-05, 'epoch': 0.06}

 61%|██████▏   | 6131/10000 [16:22:53<8:14:40,  7.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9500997066497803, dino_loss: 0.66796875, depth_loss: 0.07259493321180344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0272681713104248, dino_loss: 0.76171875, depth_loss: 0.07418840378522873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6132/10000 [16:23:02<8:36:21,  8.01s/it]
                                                         
{'loss': 2.2649, 'grad_norm': 7.448620796203613, 'learning_rate': 1.7811147973699787e-05, 'epoch': 0.06}

 61%|██████▏   | 6132/10000 [16:23:02<8:36:21,  8.01s/it]the number of masks: 8
seg_loss: 1.0557981729507446, dino_loss: 0.6015625, depth_loss: 0.043742258101701736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7636077404022217, dino_loss: 0.7265625, depth_loss: 0.05603617802262306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6133/10000 [16:23:09<8:16:54,  7.71s/it]
                                                         
{'loss': 2.9175, 'grad_norm': 4.199689865112305, 'learning_rate': 1.78032301942662e-05, 'epoch': 0.06}

 61%|██████▏   | 6133/10000 [16:23:09<8:16:54,  7.71s/it]seg_loss: 0.0, dino_loss: 0.76171875, depth_loss: 0.032867107540369034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.088099718093872, dino_loss: 0.6796875, depth_loss: 0.069708913564682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6134/10000 [16:23:16<8:03:23,  7.50s/it]
                                                         
{'loss': 2.3687, 'grad_norm': 2.927948236465454, 'learning_rate': 1.7795313201860546e-05, 'epoch': 0.06}

 61%|██████▏   | 6134/10000 [16:23:16<8:03:23,  7.50s/it]the number of masks: 8
seg_loss: 0.9977439641952515, dino_loss: 0.69921875, depth_loss: 0.06243766471743584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.597905695438385, dino_loss: 0.0, depth_loss: 0.03674079477787018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6135/10000 [16:23:22<7:50:10,  7.30s/it]
                                                         
{'loss': 2.0223, 'grad_norm': 5.304510593414307, 'learning_rate': 1.7787396997348604e-05, 'epoch': 0.06}

 61%|██████▏   | 6135/10000 [16:23:22<7:50:10,  7.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1083462238311768, dino_loss: 0.66796875, depth_loss: 0.06917180120944977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6562197208404541, dino_loss: 0.71484375, depth_loss: 0.07155711948871613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6136/10000 [16:23:31<8:15:24,  7.69s/it]
                                                         
{'loss': 2.4265, 'grad_norm': 4.592012405395508, 'learning_rate': 1.777948158159608e-05, 'epoch': 0.06}

 61%|██████▏   | 6136/10000 [16:23:31<8:15:24,  7.69s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.3132009506225586, dino_loss: 0.83203125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6267575025558472, dino_loss: 0.7265625, depth_loss: 0.042795874178409576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6137/10000 [16:23:40<8:34:17,  7.99s/it]
                                                         
{'loss': 2.6779, 'grad_norm': 13.37314510345459, 'learning_rate': 1.77715669554686e-05, 'epoch': 0.06}

 61%|██████▏   | 6137/10000 [16:23:40<8:34:17,  7.99s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7677924633026123, dino_loss: 0.78515625, depth_loss: 0.06473815441131592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6795002222061157, dino_loss: 0.6171875, depth_loss: 0.06686951220035553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6138/10000 [16:23:47<8:23:33,  7.82s/it]
                                                         
{'loss': 1.9668, 'grad_norm': 4.681512832641602, 'learning_rate': 1.7763653119831684e-05, 'epoch': 0.06}

 61%|██████▏   | 6138/10000 [16:23:47<8:23:33,  7.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8845802545547485, dino_loss: 0.7578125, depth_loss: 0.05490568280220032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1118814945220947, dino_loss: 0.6796875, depth_loss: 0.0517590269446373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6139/10000 [16:23:57<9:06:33,  8.49s/it]
                                                         
{'loss': 2.5967, 'grad_norm': 7.187087535858154, 'learning_rate': 1.7755740075550778e-05, 'epoch': 0.06}

 61%|██████▏   | 6139/10000 [16:23:57<9:06:33,  8.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7704993486404419, dino_loss: 0.64453125, depth_loss: 0.05105802044272423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0051844120025635, dino_loss: 0.68359375, depth_loss: 0.04775799810886383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6140/10000 [16:24:06<9:15:59,  8.64s/it]
                                                         
{'loss': 2.6364, 'grad_norm': 6.7401909828186035, 'learning_rate': 1.7747827823491252e-05, 'epoch': 0.06}

 61%|██████▏   | 6140/10000 [16:24:06<9:15:59,  8.64s/it]the number of masks: 8
seg_loss: 0.9325989484786987, dino_loss: 0.64453125, depth_loss: 0.05753606557846069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6429941058158875, dino_loss: 0.60546875, depth_loss: 0.05161428451538086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6141/10000 [16:24:13<8:33:25,  7.98s/it]
                                                         
{'loss': 2.1551, 'grad_norm': 4.481364727020264, 'learning_rate': 1.773991636451838e-05, 'epoch': 0.06}

 61%|██████▏   | 6141/10000 [16:24:13<8:33:25,  7.98s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8596296906471252, dino_loss: 0.73828125, depth_loss: 0.09980227798223495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8671386241912842, dino_loss: 0.65625, depth_loss: 0.05855609104037285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6142/10000 [16:24:21<8:45:20,  8.17s/it]
                                                         
{'loss': 2.5235, 'grad_norm': 7.109669208526611, 'learning_rate': 1.7732005699497327e-05, 'epoch': 0.06}

 61%|██████▏   | 6142/10000 [16:24:21<8:45:20,  8.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8947577476501465, dino_loss: 0.62890625, depth_loss: 0.04540718346834183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0065979957580566, dino_loss: 0.7421875, depth_loss: 0.09659259021282196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6143/10000 [16:24:31<9:24:34,  8.78s/it]
                                                         
{'loss': 2.0225, 'grad_norm': 3.545879364013672, 'learning_rate': 1.772409582929321e-05, 'epoch': 0.06}

 61%|██████▏   | 6143/10000 [16:24:31<9:24:34,  8.78s/it]the number of masks: 8
seg_loss: 0.8607075214385986, dino_loss: 0.671875, depth_loss: 0.08700661361217499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.734375, depth_loss: 0.06868728995323181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6144/10000 [16:24:36<7:57:46,  7.43s/it]
                                                         
{'loss': 1.8731, 'grad_norm': 4.691553592681885, 'learning_rate': 1.7716186754771032e-05, 'epoch': 0.06}

 61%|██████▏   | 6144/10000 [16:24:36<7:57:46,  7.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8991823196411133, dino_loss: 0.7734375, depth_loss: 0.07860424369573593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.926452100276947, dino_loss: 0.7109375, depth_loss: 0.07552331686019897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6145/10000 [16:24:45<8:31:07,  7.96s/it]
                                                         
{'loss': 2.5045, 'grad_norm': 3.504979133605957, 'learning_rate': 1.770827847679571e-05, 'epoch': 0.06}

 61%|██████▏   | 6145/10000 [16:24:45<8:31:07,  7.96s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0682398080825806, dino_loss: 0.76953125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9396332502365112, dino_loss: 0.71875, depth_loss: 0.09079170227050781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6146/10000 [16:24:54<8:46:35,  8.20s/it]
                                                         
{'loss': 2.5897, 'grad_norm': 4.355865001678467, 'learning_rate': 1.77003709962321e-05, 'epoch': 0.06}

 61%|██████▏   | 6146/10000 [16:24:54<8:46:35,  8.20s/it]the number of masks: 8
seg_loss: 0.9529126286506653, dino_loss: 0.71484375, depth_loss: 0.11079589277505875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.625, depth_loss: 0.08383127301931381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6147/10000 [16:24:59<7:46:51,  7.27s/it]
                                                         
{'loss': 2.2181, 'grad_norm': 9.28866195678711, 'learning_rate': 1.7692464313944944e-05, 'epoch': 0.06}

 61%|██████▏   | 6147/10000 [16:24:59<7:46:51,  7.27s/it]the number of masks: 8
seg_loss: 0.9139953255653381, dino_loss: 0.640625, depth_loss: 0.05950753390789032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8244735598564148, dino_loss: 0.6484375, depth_loss: 0.09297916293144226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6148/10000 [16:25:06<7:48:02,  7.29s/it]
                                                         
{'loss': 2.0338, 'grad_norm': 5.9617133140563965, 'learning_rate': 1.768455843079891e-05, 'epoch': 0.06}

 61%|██████▏   | 6148/10000 [16:25:06<7:48:02,  7.29s/it]the number of masks: 8
seg_loss: 0.8618707060813904, dino_loss: 0.68359375, depth_loss: 0.08493810892105103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.923862636089325, dino_loss: 0.6953125, depth_loss: 0.09078998863697052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 61%|██████▏   | 6149/10000 [16:25:13<7:47:28,  7.28s/it]
                                                         
{'loss': 2.3277, 'grad_norm': 3.636101722717285, 'learning_rate': 1.7676653347658552e-05, 'epoch': 0.06}

 61%|██████▏   | 6149/10000 [16:25:13<7:47:28,  7.28s/it]the number of masks: 8
seg_loss: 0.9690945744514465, dino_loss: 0.7109375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9556822180747986, dino_loss: 0.6875, depth_loss: 0.05938733369112015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6150/10000 [16:25:20<7:41:56,  7.20s/it]
                                                         
{'loss': 2.549, 'grad_norm': 3.0552401542663574, 'learning_rate': 1.7668749065388385e-05, 'epoch': 0.06}

 62%|██████▏   | 6150/10000 [16:25:20<7:41:56,  7.20s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6956655979156494, dino_loss: 0.68359375, depth_loss: 0.1056482344865799, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8781935572624207, dino_loss: 0.73046875, depth_loss: 0.06925813108682632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6151/10000 [16:25:29<8:10:38,  7.65s/it]
                                                         
{'loss': 2.4492, 'grad_norm': 2.9611663818359375, 'learning_rate': 1.7660845584852792e-05, 'epoch': 0.06}

 62%|██████▏   | 6151/10000 [16:25:29<8:10:38,  7.65s/it]the number of masks: 8
seg_loss: 0.9891247153282166, dino_loss: 0.625, depth_loss: 0.04256146401166916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8765490055084229, dino_loss: 0.6484375, depth_loss: 0.05456068366765976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6152/10000 [16:25:35<7:32:46,  7.06s/it]
                                                         
{'loss': 2.1098, 'grad_norm': 6.0576581954956055, 'learning_rate': 1.7652942906916093e-05, 'epoch': 0.06}

 62%|██████▏   | 6152/10000 [16:25:35<7:32:46,  7.06s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8230705857276917, dino_loss: 0.74609375, depth_loss: 0.06438440829515457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.878955066204071, dino_loss: 0.703125, depth_loss: 0.04655282199382782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6153/10000 [16:25:43<7:57:56,  7.45s/it]
                                                         
{'loss': 2.1461, 'grad_norm': 3.223811626434326, 'learning_rate': 1.764504103244251e-05, 'epoch': 0.06}

 62%|██████▏   | 6153/10000 [16:25:43<7:57:56,  7.45s/it]seg_loss: 0.0, dino_loss: 0.72265625, depth_loss: 0.06492117047309875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.73828125, depth_loss: 0.06192672252655029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6154/10000 [16:25:47<6:45:27,  6.33s/it]
                                                         
{'loss': 1.5731, 'grad_norm': 1.0834081172943115, 'learning_rate': 1.7637139962296185e-05, 'epoch': 0.06}

 62%|██████▏   | 6154/10000 [16:25:47<6:45:27,  6.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9079076647758484, dino_loss: 0.71484375, depth_loss: 0.06600777059793472, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.70703125, depth_loss: 0.05486372485756874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6155/10000 [16:25:53<6:44:13,  6.31s/it]
                                                         
{'loss': 1.5886, 'grad_norm': 3.819230794906616, 'learning_rate': 1.7629239697341165e-05, 'epoch': 0.06}

 62%|██████▏   | 6155/10000 [16:25:53<6:44:13,  6.31s/it]the number of masks: 8
seg_loss: 0.8694365620613098, dino_loss: 0.73828125, depth_loss: 0.05169535428285599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9610080718994141, dino_loss: 0.71875, depth_loss: 0.08629028499126434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6156/10000 [16:26:01<7:21:23,  6.89s/it]
                                                         
{'loss': 2.6145, 'grad_norm': 3.4256269931793213, 'learning_rate': 1.7621340238441407e-05, 'epoch': 0.06}

 62%|██████▏   | 6156/10000 [16:26:01<7:21:23,  6.89s/it]seg_loss: 0.0, dino_loss: 0.59765625, depth_loss: 0.05629240721464157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6515775918960571, dino_loss: 0.60546875, depth_loss: 0.048365917056798935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6157/10000 [16:26:08<7:19:03,  6.85s/it]
                                                         
{'loss': 1.8328, 'grad_norm': 3.5132195949554443, 'learning_rate': 1.7613441586460793e-05, 'epoch': 0.06}

 62%|██████▏   | 6157/10000 [16:26:08<7:19:03,  6.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8266195058822632, dino_loss: 0.71875, depth_loss: 0.06563595682382584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8431366682052612, dino_loss: 0.70703125, depth_loss: 0.06723710149526596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6158/10000 [16:26:17<8:00:10,  7.50s/it]
                                                         
{'loss': 2.4546, 'grad_norm': 3.5232787132263184, 'learning_rate': 1.7605543742263087e-05, 'epoch': 0.06}

 62%|██████▏   | 6158/10000 [16:26:17<8:00:10,  7.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6515414714813232, dino_loss: 0.66796875, depth_loss: 0.048523955047130585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8284938335418701, dino_loss: 0.67578125, depth_loss: 0.060381531715393066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6159/10000 [16:26:27<8:42:27,  8.16s/it]
                                                         
{'loss': 1.9124, 'grad_norm': 2.2059824466705322, 'learning_rate': 1.759764670671201e-05, 'epoch': 0.06}

 62%|██████▏   | 6159/10000 [16:26:27<8:42:27,  8.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9353119730949402, dino_loss: 0.671875, depth_loss: 0.061104513704776764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0218558311462402, dino_loss: 0.515625, depth_loss: 0.046639248728752136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6160/10000 [16:26:35<8:46:34,  8.23s/it]
                                                         
{'loss': 2.0743, 'grad_norm': 3.9182024002075195, 'learning_rate': 1.758975048067116e-05, 'epoch': 0.06}

 62%|██████▏   | 6160/10000 [16:26:35<8:46:34,  8.23s/it]the number of masks: 8
seg_loss: 0.7747657299041748, dino_loss: 0.68359375, depth_loss: 0.0670681968331337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8213140368461609, dino_loss: 0.64453125, depth_loss: 0.053378015756607056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6161/10000 [16:26:42<8:20:16,  7.82s/it]
                                                         
{'loss': 1.7376, 'grad_norm': 8.947427749633789, 'learning_rate': 1.7581855065004058e-05, 'epoch': 0.06}

 62%|██████▏   | 6161/10000 [16:26:42<8:20:16,  7.82s/it]the number of masks: 8
seg_loss: 0.8990129232406616, dino_loss: 0.66796875, depth_loss: 0.06779470294713974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8864861726760864, dino_loss: 0.65625, depth_loss: 0.0652746856212616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6162/10000 [16:26:52<8:52:27,  8.32s/it]
                                                         
{'loss': 2.7692, 'grad_norm': 3.30497670173645, 'learning_rate': 1.7573960460574133e-05, 'epoch': 0.06}

 62%|██████▏   | 6162/10000 [16:26:52<8:52:27,  8.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8566991686820984, dino_loss: 0.68359375, depth_loss: 0.07420109957456589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9003489017486572, dino_loss: 0.71875, depth_loss: 0.07293368875980377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6163/10000 [16:27:04<10:07:58,  9.51s/it]
                                                          
{'loss': 2.682, 'grad_norm': 4.163670539855957, 'learning_rate': 1.7566066668244724e-05, 'epoch': 0.06}

 62%|██████▏   | 6163/10000 [16:27:04<10:07:58,  9.51s/it]the number of masks: 8
seg_loss: 0.4383505582809448, dino_loss: 0.515625, depth_loss: 0.032214220613241196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.4633493423461914, dino_loss: 0.63671875, depth_loss: 0.05361367017030716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6164/10000 [16:27:11<9:16:39,  8.71s/it] 
                                                         
{'loss': 2.0745, 'grad_norm': 4.236639976501465, 'learning_rate': 1.7558173688879082e-05, 'epoch': 0.06}

 62%|██████▏   | 6164/10000 [16:27:11<9:16:39,  8.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7561869025230408, dino_loss: 0.0, depth_loss: 0.089618019759655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9592042565345764, dino_loss: 0.72265625, depth_loss: 0.0611143633723259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6165/10000 [16:27:18<8:52:13,  8.33s/it]
                                                         
{'loss': 1.9796, 'grad_norm': 4.563051700592041, 'learning_rate': 1.7550281523340382e-05, 'epoch': 0.06}

 62%|██████▏   | 6165/10000 [16:27:18<8:52:13,  8.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7790316343307495, dino_loss: 0.796875, depth_loss: 0.06078284978866577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9797589778900146, dino_loss: 0.79296875, depth_loss: 0.06537049263715744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6166/10000 [16:27:24<8:13:36,  7.72s/it]
                                                         
{'loss': 2.3084, 'grad_norm': 7.269571304321289, 'learning_rate': 1.7542390172491696e-05, 'epoch': 0.06}

 62%|██████▏   | 6166/10000 [16:27:24<8:13:36,  7.72s/it]the number of masks: 8
seg_loss: 1.087759256362915, dino_loss: 0.6484375, depth_loss: 0.06793259084224701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.738373875617981, dino_loss: 0.5625, depth_loss: 0.03671697527170181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6167/10000 [16:27:31<7:47:40,  7.32s/it]
                                                         
{'loss': 2.0709, 'grad_norm': 3.909863233566284, 'learning_rate': 1.7534499637196012e-05, 'epoch': 0.06}

 62%|██████▏   | 6167/10000 [16:27:31<7:47:40,  7.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8256456851959229, dino_loss: 0.69921875, depth_loss: 0.046790674328804016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7266530990600586, dino_loss: 0.65234375, depth_loss: 0.055237915366888046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6168/10000 [16:27:41<8:39:30,  8.13s/it]
                                                         
{'loss': 1.8371, 'grad_norm': 2.9610226154327393, 'learning_rate': 1.752660991831622e-05, 'epoch': 0.06}

 62%|██████▏   | 6168/10000 [16:27:41<8:39:30,  8.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0067946910858154, dino_loss: 0.7265625, depth_loss: 0.08911459892988205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9644158482551575, dino_loss: 0.65625, depth_loss: 0.06651218235492706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6169/10000 [16:27:49<8:41:54,  8.17s/it]
                                                         
{'loss': 2.3514, 'grad_norm': 5.670548439025879, 'learning_rate': 1.751872101671513e-05, 'epoch': 0.06}

 62%|██████▏   | 6169/10000 [16:27:49<8:41:54,  8.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7473273277282715, dino_loss: 0.77734375, depth_loss: 0.0703355073928833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7441915273666382, dino_loss: 0.67578125, depth_loss: 0.08842989802360535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6170/10000 [16:27:58<9:01:39,  8.49s/it]
                                                         
{'loss': 2.0798, 'grad_norm': 3.1092069149017334, 'learning_rate': 1.7510832933255463e-05, 'epoch': 0.06}

 62%|██████▏   | 6170/10000 [16:27:58<9:01:39,  8.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9486812949180603, dino_loss: 0.73046875, depth_loss: 0.07117161154747009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8114926815032959, dino_loss: 0.67578125, depth_loss: 0.07382788509130478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6171/10000 [16:28:05<8:35:45,  8.08s/it]
                                                         
{'loss': 2.394, 'grad_norm': 4.2349934577941895, 'learning_rate': 1.7502945668799835e-05, 'epoch': 0.06}

 62%|██████▏   | 6171/10000 [16:28:05<8:35:45,  8.08s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8351682424545288, dino_loss: 0.63671875, depth_loss: 0.06447713822126389, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8581832647323608, dino_loss: 0.71484375, depth_loss: 0.04907181113958359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6172/10000 [16:28:14<8:41:29,  8.17s/it]
                                                         
{'loss': 2.261, 'grad_norm': 5.95779275894165, 'learning_rate': 1.7495059224210813e-05, 'epoch': 0.06}

 62%|██████▏   | 6172/10000 [16:28:14<8:41:29,  8.17s/it]the number of masks: 8
seg_loss: 0.8299940824508667, dino_loss: 0.7421875, depth_loss: 0.09934820234775543, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8964508771896362, dino_loss: 0.6640625, depth_loss: 0.05166543647646904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6173/10000 [16:28:20<8:08:58,  7.67s/it]
                                                         
{'loss': 2.3041, 'grad_norm': 5.954675197601318, 'learning_rate': 1.7487173600350824e-05, 'epoch': 0.06}

 62%|██████▏   | 6173/10000 [16:28:20<8:08:58,  7.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6591094732284546, dino_loss: 0.703125, depth_loss: 0.053136084228754044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7714667320251465, dino_loss: 0.7265625, depth_loss: 0.056801799684762955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6174/10000 [16:28:28<8:09:56,  7.68s/it]
                                                         
{'loss': 2.0356, 'grad_norm': 3.041757822036743, 'learning_rate': 1.7479288798082233e-05, 'epoch': 0.06}

 62%|██████▏   | 6174/10000 [16:28:28<8:09:56,  7.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7067827582359314, dino_loss: 0.0, depth_loss: 0.0523836649954319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8253376483917236, dino_loss: 0.609375, depth_loss: 0.030472170561552048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6175/10000 [16:28:37<8:29:39,  7.99s/it]
                                                         
{'loss': 1.6031, 'grad_norm': 3.295276403427124, 'learning_rate': 1.7471404818267316e-05, 'epoch': 0.06}

 62%|██████▏   | 6175/10000 [16:28:37<8:29:39,  7.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7385696172714233, dino_loss: 0.66796875, depth_loss: 0.05103052407503128, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7595664858818054, dino_loss: 0.7734375, depth_loss: 0.06334136426448822, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6176/10000 [16:28:45<8:29:54,  8.00s/it]
                                                         
{'loss': 2.4384, 'grad_norm': 6.574477672576904, 'learning_rate': 1.746352166176825e-05, 'epoch': 0.06}

 62%|██████▏   | 6176/10000 [16:28:45<8:29:54,  8.00s/it]seg_loss: 0.0, dino_loss: 0.6796875, depth_loss: 0.047404006123542786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9779466390609741, dino_loss: 0.62890625, depth_loss: 0.04917387291789055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6177/10000 [16:28:50<7:40:56,  7.23s/it]
                                                         
{'loss': 1.7689, 'grad_norm': 6.963632583618164, 'learning_rate': 1.7455639329447118e-05, 'epoch': 0.06}

 62%|██████▏   | 6177/10000 [16:28:50<7:40:56,  7.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.4196423292160034, dino_loss: 0.68359375, depth_loss: 0.057958949357271194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0809228420257568, dino_loss: 0.59765625, depth_loss: 0.0528445690870285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6178/10000 [16:28:57<7:23:19,  6.96s/it]
                                                         
{'loss': 1.8126, 'grad_norm': 3.0355803966522217, 'learning_rate': 1.744775782216593e-05, 'epoch': 0.06}

 62%|██████▏   | 6178/10000 [16:28:57<7:23:19,  6.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.048845648765564, dino_loss: 0.66015625, depth_loss: 0.05121322721242905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8445568680763245, dino_loss: 0.7265625, depth_loss: 0.06268423795700073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6179/10000 [16:29:04<7:27:57,  7.03s/it]
                                                         
{'loss': 2.5351, 'grad_norm': 3.6917712688446045, 'learning_rate': 1.743987714078659e-05, 'epoch': 0.06}

 62%|██████▏   | 6179/10000 [16:29:04<7:27:57,  7.03s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.945554256439209, dino_loss: 0.625, depth_loss: 0.0502941757440567, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8320275545120239, dino_loss: 0.73828125, depth_loss: 0.06751459091901779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6180/10000 [16:29:13<8:07:29,  7.66s/it]
                                                         
{'loss': 2.5926, 'grad_norm': 6.15846586227417, 'learning_rate': 1.7431997286170922e-05, 'epoch': 0.06}

 62%|██████▏   | 6180/10000 [16:29:13<8:07:29,  7.66s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7014777660369873, dino_loss: 0.59375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.859909176826477, dino_loss: 0.68359375, depth_loss: 0.0579245500266552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6181/10000 [16:29:19<7:42:31,  7.27s/it]
                                                         
{'loss': 1.8874, 'grad_norm': 7.7755126953125, 'learning_rate': 1.7424118259180654e-05, 'epoch': 0.06}

 62%|██████▏   | 6181/10000 [16:29:19<7:42:31,  7.27s/it]the number of masks: 8
seg_loss: 0.4133785367012024, dino_loss: 0.53125, depth_loss: 0.04195208102464676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9183130264282227, dino_loss: 0.72265625, depth_loss: 0.0765334963798523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6182/10000 [16:29:26<7:36:32,  7.17s/it]
                                                         
{'loss': 2.0601, 'grad_norm': 5.07634973526001, 'learning_rate': 1.7416240060677426e-05, 'epoch': 0.06}

 62%|██████▏   | 6182/10000 [16:29:26<7:36:32,  7.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9242602586746216, dino_loss: 0.73046875, depth_loss: 0.05159410089254379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9078177809715271, dino_loss: 0.71484375, depth_loss: 0.06541994214057922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6183/10000 [16:29:35<8:14:47,  7.78s/it]
                                                         
{'loss': 2.4151, 'grad_norm': 3.436856508255005, 'learning_rate': 1.7408362691522767e-05, 'epoch': 0.06}

 62%|██████▏   | 6183/10000 [16:29:35<8:14:47,  7.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7757772207260132, dino_loss: 0.6796875, depth_loss: 0.07143265008926392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7003151178359985, dino_loss: 0.65625, depth_loss: 0.05200432986021042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6184/10000 [16:29:47<9:24:37,  8.88s/it]
                                                         
{'loss': 1.9594, 'grad_norm': 3.730724811553955, 'learning_rate': 1.740048615257816e-05, 'epoch': 0.06}

 62%|██████▏   | 6184/10000 [16:29:47<9:24:37,  8.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8085876107215881, dino_loss: 0.67578125, depth_loss: 0.06341560184955597, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8419153094291687, dino_loss: 0.7109375, depth_loss: 0.08909326046705246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6185/10000 [16:29:55<9:12:11,  8.68s/it]
                                                         
{'loss': 2.2357, 'grad_norm': 4.6671671867370605, 'learning_rate': 1.7392610444704966e-05, 'epoch': 0.06}

 62%|██████▏   | 6185/10000 [16:29:55<9:12:11,  8.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7674306631088257, dino_loss: 0.64453125, depth_loss: 0.05178016796708107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.74609375, depth_loss: 0.054254524409770966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6186/10000 [16:30:02<8:31:56,  8.05s/it]
                                                         
{'loss': 1.6982, 'grad_norm': 2.8591582775115967, 'learning_rate': 1.7384735568764456e-05, 'epoch': 0.06}

 62%|██████▏   | 6186/10000 [16:30:02<8:31:56,  8.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5673680305480957, dino_loss: 0.72265625, depth_loss: 0.055614765733480453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 2
the number of masks: 8
the number of masks: 8
seg_loss: 0.8264541029930115, dino_loss: 0.578125, depth_loss: 0.05990072712302208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6187/10000 [16:30:12<9:11:36,  8.68s/it]
                                                         
{'loss': 1.7242, 'grad_norm': 4.163513660430908, 'learning_rate': 1.737686152561781e-05, 'epoch': 0.06}

 62%|██████▏   | 6187/10000 [16:30:12<9:11:36,  8.68s/it]the number of masks: 8
seg_loss: 0.9086871147155762, dino_loss: 0.7265625, depth_loss: 0.06794314831495285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.824720025062561, dino_loss: 0.55859375, depth_loss: 0.0542854443192482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6188/10000 [16:30:19<8:48:15,  8.31s/it]
                                                         
{'loss': 2.44, 'grad_norm': 2.225860595703125, 'learning_rate': 1.736898831612613e-05, 'epoch': 0.06}

 62%|██████▏   | 6188/10000 [16:30:19<8:48:15,  8.31s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9197733402252197, dino_loss: 0.6015625, depth_loss: 0.05706239864230156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9506019353866577, dino_loss: 0.76953125, depth_loss: 0.05449257418513298, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6189/10000 [16:30:27<8:42:24,  8.22s/it]
                                                         
{'loss': 2.0726, 'grad_norm': 3.7733824253082275, 'learning_rate': 1.7361115941150413e-05, 'epoch': 0.06}

 62%|██████▏   | 6189/10000 [16:30:27<8:42:24,  8.22s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7959578037261963, dino_loss: 0.70703125, depth_loss: 0.08007628470659256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8565567135810852, dino_loss: 0.6875, depth_loss: 0.061548613011837006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6190/10000 [16:30:37<9:09:17,  8.65s/it]
                                                         
{'loss': 2.4875, 'grad_norm': 3.7729785442352295, 'learning_rate': 1.7353244401551566e-05, 'epoch': 0.06}

 62%|██████▏   | 6190/10000 [16:30:37<9:09:17,  8.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8177165389060974, dino_loss: 0.6640625, depth_loss: 0.0804167315363884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7139700651168823, dino_loss: 0.71484375, depth_loss: 0.05211690813302994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6191/10000 [16:30:45<9:04:11,  8.57s/it]
                                                         
{'loss': 1.8554, 'grad_norm': 3.5991017818450928, 'learning_rate': 1.734537369819042e-05, 'epoch': 0.06}

 62%|██████▏   | 6191/10000 [16:30:45<9:04:11,  8.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8405935764312744, dino_loss: 0.66796875, depth_loss: 0.049142032861709595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0179473161697388, dino_loss: 0.69921875, depth_loss: 0.05623871088027954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6192/10000 [16:30:56<9:37:28,  9.10s/it]
                                                         
{'loss': 2.1984, 'grad_norm': 4.247943878173828, 'learning_rate': 1.73375038319277e-05, 'epoch': 0.06}

 62%|██████▏   | 6192/10000 [16:30:56<9:37:28,  9.10s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6100393533706665, dino_loss: 0.6015625, depth_loss: 0.048139505088329315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7773579955101013, dino_loss: 0.69140625, depth_loss: 0.06692830473184586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6193/10000 [16:31:02<8:42:24,  8.23s/it]
                                                         
{'loss': 2.2774, 'grad_norm': 4.689177989959717, 'learning_rate': 1.732963480362404e-05, 'epoch': 0.06}

 62%|██████▏   | 6193/10000 [16:31:02<8:42:24,  8.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6408881545066833, dino_loss: 0.65234375, depth_loss: 0.05194863677024841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8614363670349121, dino_loss: 0.63671875, depth_loss: 0.049617793411016464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6194/10000 [16:31:09<8:22:06,  7.92s/it]
                                                         
{'loss': 1.9954, 'grad_norm': 4.382059574127197, 'learning_rate': 1.7321766614139982e-05, 'epoch': 0.06}

 62%|██████▏   | 6194/10000 [16:31:09<8:22:06,  7.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.942351222038269, dino_loss: 0.6953125, depth_loss: 0.06482846289873123, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9263117909431458, dino_loss: 0.65234375, depth_loss: 0.06140555068850517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6195/10000 [16:31:15<7:47:49,  7.38s/it]
                                                         
{'loss': 2.5543, 'grad_norm': 8.268787384033203, 'learning_rate': 1.7313899264335985e-05, 'epoch': 0.06}

 62%|██████▏   | 6195/10000 [16:31:15<7:47:49,  7.38s/it]seg_loss: 0.0, dino_loss: 0.6875, depth_loss: 0.05631487816572189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9798942804336548, dino_loss: 0.6484375, depth_loss: 0.058102212846279144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6196/10000 [16:31:21<7:25:53,  7.03s/it]
                                                         
{'loss': 1.8727, 'grad_norm': 2.006613254547119, 'learning_rate': 1.7306032755072404e-05, 'epoch': 0.06}

 62%|██████▏   | 6196/10000 [16:31:21<7:25:53,  7.03s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7444228529930115, dino_loss: 0.65234375, depth_loss: 0.059258073568344116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.594122052192688, dino_loss: 0.62109375, depth_loss: 0.06051342934370041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6197/10000 [16:31:29<7:36:29,  7.20s/it]
                                                         
{'loss': 1.6766, 'grad_norm': 5.207339763641357, 'learning_rate': 1.7298167087209522e-05, 'epoch': 0.06}

 62%|██████▏   | 6197/10000 [16:31:29<7:36:29,  7.20s/it]the number of masks: 8
seg_loss: 0.9774830341339111, dino_loss: 0.671875, depth_loss: 0.03820738568902016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.42116570472717285, dino_loss: 0.671875, depth_loss: 0.04676535353064537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6198/10000 [16:31:35<7:09:02,  6.77s/it]
                                                         
{'loss': 2.3999, 'grad_norm': 4.194074630737305, 'learning_rate': 1.7290302261607503e-05, 'epoch': 0.06}

 62%|██████▏   | 6198/10000 [16:31:35<7:09:02,  6.77s/it]seg_loss: 0.0, dino_loss: 0.62890625, depth_loss: 0.11994707584381104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7546015977859497, dino_loss: 0.71875, depth_loss: 0.06668829172849655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6199/10000 [16:31:40<6:35:21,  6.24s/it]
                                                         
{'loss': 1.3847, 'grad_norm': 3.6086626052856445, 'learning_rate': 1.7282438279126433e-05, 'epoch': 0.06}

 62%|██████▏   | 6199/10000 [16:31:40<6:35:21,  6.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6999508738517761, dino_loss: 0.65234375, depth_loss: 0.05495855584740639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9225820899009705, dino_loss: 0.73828125, depth_loss: 0.0616123341023922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6200/10000 [16:31:49<7:41:27,  7.29s/it]
                                                         
{'loss': 2.6477, 'grad_norm': 2.6929454803466797, 'learning_rate': 1.7274575140626318e-05, 'epoch': 0.06}

 62%|██████▏   | 6200/10000 [16:31:49<7:41:27,  7.29s/it]the number of masks: 8
seg_loss: 0.7610050439834595, dino_loss: 0.66015625, depth_loss: 0.1078711599111557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7404521703720093, dino_loss: 0.671875, depth_loss: 0.0829918161034584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6201/10000 [16:31:57<7:56:21,  7.52s/it]
                                                         
{'loss': 1.8838, 'grad_norm': 11.33925724029541, 'learning_rate': 1.726671284696705e-05, 'epoch': 0.06}

 62%|██████▏   | 6201/10000 [16:31:57<7:56:21,  7.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9349914193153381, dino_loss: 0.73046875, depth_loss: 0.06770835816860199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5320340991020203, dino_loss: 0.64453125, depth_loss: 0.058321308344602585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6202/10000 [16:32:04<7:33:48,  7.17s/it]
                                                         
{'loss': 1.952, 'grad_norm': 4.014926433563232, 'learning_rate': 1.725885139900843e-05, 'epoch': 0.06}

 62%|██████▏   | 6202/10000 [16:32:04<7:33:48,  7.17s/it]the number of masks: 8
seg_loss: 0.8251479864120483, dino_loss: 0.64453125, depth_loss: 0.07262693345546722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9310271739959717, dino_loss: 0.7265625, depth_loss: 0.06603304296731949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6203/10000 [16:32:12<8:00:40,  7.60s/it]
                                                         
{'loss': 2.0196, 'grad_norm': 2.6136364936828613, 'learning_rate': 1.7250990797610185e-05, 'epoch': 0.06}

 62%|██████▏   | 6203/10000 [16:32:12<8:00:40,  7.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7595073580741882, dino_loss: 0.63671875, depth_loss: 0.06870009005069733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.514915406703949, dino_loss: 0.63671875, depth_loss: 0.048976171761751175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6204/10000 [16:32:21<8:24:57,  7.98s/it]
                                                         
{'loss': 1.8897, 'grad_norm': 2.3150646686553955, 'learning_rate': 1.7243131043631937e-05, 'epoch': 0.06}

 62%|██████▏   | 6204/10000 [16:32:21<8:24:57,  7.98s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9857717156410217, dino_loss: 0.73046875, depth_loss: 0.06469184160232544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9652315378189087, dino_loss: 0.68359375, depth_loss: 0.05629126727581024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6205/10000 [16:32:29<8:15:29,  7.83s/it]
                                                         
{'loss': 2.2883, 'grad_norm': 4.17164421081543, 'learning_rate': 1.723527213793322e-05, 'epoch': 0.06}

 62%|██████▏   | 6205/10000 [16:32:29<8:15:29,  7.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5777170062065125, dino_loss: 0.625, depth_loss: 0.07714006304740906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9043617248535156, dino_loss: 0.68359375, depth_loss: 0.08910221606492996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6206/10000 [16:32:36<8:02:05,  7.62s/it]
                                                         
{'loss': 1.912, 'grad_norm': 7.681877613067627, 'learning_rate': 1.7227414081373468e-05, 'epoch': 0.06}

 62%|██████▏   | 6206/10000 [16:32:36<8:02:05,  7.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9106254577636719, dino_loss: 0.71875, depth_loss: 0.10955500602722168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9316459894180298, dino_loss: 0.69921875, depth_loss: 0.06595538556575775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6207/10000 [16:32:45<8:29:03,  8.05s/it]
                                                         
{'loss': 2.2774, 'grad_norm': 3.4915213584899902, 'learning_rate': 1.7219556874812026e-05, 'epoch': 0.06}

 62%|██████▏   | 6207/10000 [16:32:45<8:29:03,  8.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6947050094604492, dino_loss: 0.70703125, depth_loss: 0.06191167235374451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6174242496490479, dino_loss: 0.640625, depth_loss: 0.05267181247472763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6208/10000 [16:32:53<8:31:45,  8.10s/it]
                                                         
{'loss': 2.0802, 'grad_norm': 2.3436014652252197, 'learning_rate': 1.7211700519108143e-05, 'epoch': 0.06}

 62%|██████▏   | 6208/10000 [16:32:53<8:31:45,  8.10s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7537981271743774, dino_loss: 0.62109375, depth_loss: 0.038806233555078506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8121206760406494, dino_loss: 0.7734375, depth_loss: 0.058470338582992554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6209/10000 [16:33:02<8:36:08,  8.17s/it]
                                                         
{'loss': 2.2399, 'grad_norm': 5.891698837280273, 'learning_rate': 1.7203845015120974e-05, 'epoch': 0.06}

 62%|██████▏   | 6209/10000 [16:33:02<8:36:08,  8.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8996924161911011, dino_loss: 0.71875, depth_loss: 0.06637021154165268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7796785235404968, dino_loss: 0.71484375, depth_loss: 0.06085819751024246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6210/10000 [16:33:11<9:03:51,  8.61s/it]
                                                         
{'loss': 2.2806, 'grad_norm': 4.779064178466797, 'learning_rate': 1.7195990363709604e-05, 'epoch': 0.06}

 62%|██████▏   | 6210/10000 [16:33:11<9:03:51,  8.61s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6599128246307373, dino_loss: 0.0, depth_loss: 0.09215543419122696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6105541586875916, dino_loss: 0.625, depth_loss: 0.04438330605626106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6211/10000 [16:33:18<8:26:46,  8.02s/it]
                                                         
{'loss': 2.1521, 'grad_norm': 3.13875412940979, 'learning_rate': 1.7188136565732995e-05, 'epoch': 0.06}

 62%|██████▏   | 6211/10000 [16:33:18<8:26:46,  8.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7148680686950684, dino_loss: 0.0, depth_loss: 0.057203784584999084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6448238492012024, dino_loss: 0.75390625, depth_loss: 0.07762163877487183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6212/10000 [16:33:25<8:17:50,  7.89s/it]
                                                         
{'loss': 1.7614, 'grad_norm': 6.622696876525879, 'learning_rate': 1.7180283622050025e-05, 'epoch': 0.06}

 62%|██████▏   | 6212/10000 [16:33:25<8:17:50,  7.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6783080101013184, dino_loss: 0.67578125, depth_loss: 0.05700431391596794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9811550974845886, dino_loss: 0.67578125, depth_loss: 0.07663021981716156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6213/10000 [16:33:35<8:57:55,  8.52s/it]
                                                         
{'loss': 2.3778, 'grad_norm': 2.6037750244140625, 'learning_rate': 1.7172431533519477e-05, 'epoch': 0.06}

 62%|██████▏   | 6213/10000 [16:33:35<8:57:55,  8.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031897783279419, dino_loss: 0.6875, depth_loss: 0.09244799613952637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8292926549911499, dino_loss: 0.7265625, depth_loss: 0.05489114671945572, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6214/10000 [16:33:42<8:25:40,  8.01s/it]
                                                         
{'loss': 1.8963, 'grad_norm': 4.415596008300781, 'learning_rate': 1.7164580301000056e-05, 'epoch': 0.06}

 62%|██████▏   | 6214/10000 [16:33:42<8:25:40,  8.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7616915702819824, dino_loss: 0.60546875, depth_loss: 0.05327790603041649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9801570773124695, dino_loss: 0.69921875, depth_loss: 0.06480192393064499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6215/10000 [16:33:50<8:13:50,  7.83s/it]
                                                         
{'loss': 2.1967, 'grad_norm': 4.94844388961792, 'learning_rate': 1.7156729925350336e-05, 'epoch': 0.06}

 62%|██████▏   | 6215/10000 [16:33:50<8:13:50,  7.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8054709434509277, dino_loss: 0.63671875, depth_loss: 0.05333671346306801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9703791737556458, dino_loss: 0.65234375, depth_loss: 0.0650351345539093, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6216/10000 [16:33:56<7:55:43,  7.54s/it]
                                                         
{'loss': 2.3989, 'grad_norm': 2.023352861404419, 'learning_rate': 1.714888040742885e-05, 'epoch': 0.06}

 62%|██████▏   | 6216/10000 [16:33:56<7:55:43,  7.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8778543472290039, dino_loss: 0.65234375, depth_loss: 0.06736433506011963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8862918615341187, dino_loss: 0.59375, depth_loss: 0.09290848672389984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6217/10000 [16:34:05<8:10:40,  7.78s/it]
                                                         
{'loss': 2.1744, 'grad_norm': 6.926364898681641, 'learning_rate': 1.7141031748094006e-05, 'epoch': 0.06}

 62%|██████▏   | 6217/10000 [16:34:05<8:10:40,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8517814874649048, dino_loss: 0.69921875, depth_loss: 0.0381462536752224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8116005659103394, dino_loss: 0.609375, depth_loss: 0.04722287878394127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6218/10000 [16:34:12<7:55:47,  7.55s/it]
                                                         
{'loss': 2.4879, 'grad_norm': 4.271123886108398, 'learning_rate': 1.7133183948204108e-05, 'epoch': 0.06}

 62%|██████▏   | 6218/10000 [16:34:12<7:55:47,  7.55s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9214273691177368, dino_loss: 0.66015625, depth_loss: 0.09179721772670746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7983818054199219, dino_loss: 0.72265625, depth_loss: 0.07457752525806427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6219/10000 [16:34:20<8:07:29,  7.74s/it]
                                                         
{'loss': 2.2587, 'grad_norm': 4.143359184265137, 'learning_rate': 1.7125337008617386e-05, 'epoch': 0.06}

 62%|██████▏   | 6219/10000 [16:34:20<8:07:29,  7.74s/it]the number of masks: 4
the number of masks: 8
seg_loss: 0.5514378547668457, dino_loss: 0.68359375, depth_loss: 0.05918523669242859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8191977143287659, dino_loss: 0.65625, depth_loss: 0.04468141123652458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6220/10000 [16:34:27<7:48:16,  7.43s/it]
                                                         
{'loss': 1.9885, 'grad_norm': 4.079606056213379, 'learning_rate': 1.7117490930191965e-05, 'epoch': 0.06}

 62%|██████▏   | 6220/10000 [16:34:27<7:48:16,  7.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6450079679489136, dino_loss: 0.65625, depth_loss: 0.05749204754829407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9219529628753662, dino_loss: 0.6875, depth_loss: 0.06667590141296387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6221/10000 [16:34:35<8:13:08,  7.83s/it]
                                                         
{'loss': 1.9039, 'grad_norm': 4.424222946166992, 'learning_rate': 1.7109645713785892e-05, 'epoch': 0.06}

 62%|██████▏   | 6221/10000 [16:34:35<8:13:08,  7.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7094330787658691, dino_loss: 0.73828125, depth_loss: 0.04283447191119194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9966440200805664, dino_loss: 0.71875, depth_loss: 0.07712450623512268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6222/10000 [16:34:44<8:34:50,  8.18s/it]
                                                         
{'loss': 2.4137, 'grad_norm': 3.783358097076416, 'learning_rate': 1.710180136025709e-05, 'epoch': 0.06}

 62%|██████▏   | 6222/10000 [16:34:44<8:34:50,  8.18s/it]the number of masks: 8
seg_loss: 0.740856409072876, dino_loss: 0.66015625, depth_loss: 0.05825342983007431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.8946694731712341, dino_loss: 0.66015625, depth_loss: 0.059317588806152344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6223/10000 [16:34:52<8:14:50,  7.86s/it]
                                                         
{'loss': 1.7854, 'grad_norm': 5.252933025360107, 'learning_rate': 1.709395787046343e-05, 'epoch': 0.06}

 62%|██████▏   | 6223/10000 [16:34:52<8:14:50,  7.86s/it]the number of masks: 8
seg_loss: 0.6152499914169312, dino_loss: 0.51171875, depth_loss: 0.03822335600852966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8294861316680908, dino_loss: 0.640625, depth_loss: 0.05483045428991318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6224/10000 [16:34:59<7:57:27,  7.59s/it]
                                                         
{'loss': 2.2233, 'grad_norm': 3.84177565574646, 'learning_rate': 1.708611524526264e-05, 'epoch': 0.06}

 62%|██████▏   | 6224/10000 [16:34:59<7:57:27,  7.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.829900860786438, dino_loss: 0.6171875, depth_loss: 0.06019404157996178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0798810720443726, dino_loss: 0.79296875, depth_loss: 0.05733554810285568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6225/10000 [16:35:06<8:00:05,  7.63s/it]
                                                         
{'loss': 2.4865, 'grad_norm': 5.121371746063232, 'learning_rate': 1.7078273485512392e-05, 'epoch': 0.06}

 62%|██████▏   | 6225/10000 [16:35:06<8:00:05,  7.63s/it]the number of masks: 8
seg_loss: 0.7136270999908447, dino_loss: 0.69140625, depth_loss: 0.06123483180999756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6226/10000 [16:35:11<6:58:03,  6.65s/it]
                                                         
{'loss': 1.8808, 'grad_norm': 2.104495048522949, 'learning_rate': 1.707043259207025e-05, 'epoch': 0.06}

 62%|██████▏   | 6226/10000 [16:35:11<6:58:03,  6.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.841480016708374, dino_loss: 0.69921875, depth_loss: 0.0637889951467514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7774056196212769, dino_loss: 0.70703125, depth_loss: 0.05739818513393402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6227/10000 [16:35:19<7:29:33,  7.15s/it]
                                                         
{'loss': 1.9998, 'grad_norm': 4.3998703956604, 'learning_rate': 1.706259256579367e-05, 'epoch': 0.06}

 62%|██████▏   | 6227/10000 [16:35:19<7:29:33,  7.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8690688014030457, dino_loss: 0.68359375, depth_loss: 0.05203987658023834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8227356672286987, dino_loss: 0.66015625, depth_loss: 0.07161304354667664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6228/10000 [16:35:27<7:48:17,  7.45s/it]
                                                         
{'loss': 2.7527, 'grad_norm': 5.517999172210693, 'learning_rate': 1.7054753407540032e-05, 'epoch': 0.06}

 62%|██████▏   | 6228/10000 [16:35:27<7:48:17,  7.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0981782674789429, dino_loss: 0.70703125, depth_loss: 0.04597288370132446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8559862375259399, dino_loss: 0.703125, depth_loss: 0.070622518658638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6229/10000 [16:35:37<8:27:07,  8.07s/it]
                                                         
{'loss': 2.3202, 'grad_norm': 3.8258559703826904, 'learning_rate': 1.7046915118166624e-05, 'epoch': 0.06}

 62%|██████▏   | 6229/10000 [16:35:37<8:27:07,  8.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9289796352386475, dino_loss: 0.671875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9590574502944946, dino_loss: 0.7421875, depth_loss: 0.07844524085521698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6230/10000 [16:35:44<8:08:50,  7.78s/it]
                                                         
{'loss': 2.4636, 'grad_norm': 2.878563404083252, 'learning_rate': 1.703907769853062e-05, 'epoch': 0.06}

 62%|██████▏   | 6230/10000 [16:35:44<8:08:50,  7.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7299889326095581, dino_loss: 0.74609375, depth_loss: 0.09701083600521088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8536871075630188, dino_loss: 0.6171875, depth_loss: 0.04559176415205002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6231/10000 [16:35:51<7:57:53,  7.61s/it]
                                                         
{'loss': 1.8837, 'grad_norm': 6.068768501281738, 'learning_rate': 1.703124114948911e-05, 'epoch': 0.06}

 62%|██████▏   | 6231/10000 [16:35:51<7:57:53,  7.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 6
seg_loss: 0.7736784815788269, dino_loss: 0.64453125, depth_loss: 0.04527943581342697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9945337772369385, dino_loss: 0.0, depth_loss: 0.05614718422293663, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6232/10000 [16:35:59<8:07:09,  7.76s/it]
                                                         
{'loss': 1.5424, 'grad_norm': 4.296798229217529, 'learning_rate': 1.7023405471899088e-05, 'epoch': 0.06}

 62%|██████▏   | 6232/10000 [16:35:59<8:07:09,  7.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7782135009765625, dino_loss: 0.66015625, depth_loss: 0.06784918904304504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5036981701850891, dino_loss: 0.7265625, depth_loss: 0.05117609724402428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6233/10000 [16:36:07<8:05:38,  7.74s/it]
                                                         
{'loss': 2.0454, 'grad_norm': 4.783193588256836, 'learning_rate': 1.701557066661745e-05, 'epoch': 0.06}

 62%|██████▏   | 6233/10000 [16:36:07<8:05:38,  7.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0136055946350098, dino_loss: 0.0, depth_loss: 0.08194079995155334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7841610908508301, dino_loss: 0.7265625, depth_loss: 0.08616846799850464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6234/10000 [16:36:16<8:38:54,  8.27s/it]
                                                         
{'loss': 2.2497, 'grad_norm': 4.460155963897705, 'learning_rate': 1.700773673450099e-05, 'epoch': 0.06}

 62%|██████▏   | 6234/10000 [16:36:16<8:38:54,  8.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5554385185241699, dino_loss: 0.75390625, depth_loss: 0.04512994736433029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0610421895980835, dino_loss: 0.65234375, depth_loss: 0.059747856110334396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6235/10000 [16:36:26<9:03:35,  8.66s/it]
                                                         
{'loss': 1.874, 'grad_norm': 3.320993185043335, 'learning_rate': 1.699990367640643e-05, 'epoch': 0.06}

 62%|██████▏   | 6235/10000 [16:36:26<9:03:35,  8.66s/it]seg_loss: 0.0, dino_loss: 0.734375, depth_loss: 0.044100139290094376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0364805459976196, dino_loss: 0.7578125, depth_loss: 0.07154065370559692, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6236/10000 [16:36:32<8:15:39,  7.90s/it]
                                                         
{'loss': 1.9234, 'grad_norm': 4.272263050079346, 'learning_rate': 1.6992071493190382e-05, 'epoch': 0.06}

 62%|██████▏   | 6236/10000 [16:36:32<8:15:39,  7.90s/it]the number of masks: 8
seg_loss: 0.6217595338821411, dino_loss: 0.71875, depth_loss: 0.05094965547323227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9332562685012817, dino_loss: 0.72265625, depth_loss: 0.06816085427999496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6237/10000 [16:36:40<8:18:12,  7.94s/it]
                                                         
{'loss': 2.5269, 'grad_norm': 3.5546131134033203, 'learning_rate': 1.6984240185709353e-05, 'epoch': 0.06}

 62%|██████▏   | 6237/10000 [16:36:40<8:18:12,  7.94s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6144839525222778, dino_loss: 0.60546875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7906062602996826, dino_loss: 0.73046875, depth_loss: 0.07553030550479889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6238/10000 [16:36:47<8:09:41,  7.81s/it]
                                                         
{'loss': 1.823, 'grad_norm': 3.1427414417266846, 'learning_rate': 1.6976409754819767e-05, 'epoch': 0.06}

 62%|██████▏   | 6238/10000 [16:36:47<8:09:41,  7.81s/it]the number of masks: 8
seg_loss: 1.0225862264633179, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9164878129959106, dino_loss: 0.6953125, depth_loss: 0.05490748584270477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6239/10000 [16:36:55<8:00:13,  7.66s/it]
                                                         
{'loss': 2.5108, 'grad_norm': 2.5580708980560303, 'learning_rate': 1.6968580201377947e-05, 'epoch': 0.06}

 62%|██████▏   | 6239/10000 [16:36:55<8:00:13,  7.66s/it]the number of masks: 8
seg_loss: 0.7639187574386597, dino_loss: 0.6015625, depth_loss: 0.05076145380735397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8350264430046082, dino_loss: 0.69140625, depth_loss: 0.06094997748732567, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6240/10000 [16:37:02<7:47:04,  7.45s/it]
                                                         
{'loss': 2.2419, 'grad_norm': 5.385694980621338, 'learning_rate': 1.696075152624012e-05, 'epoch': 0.06}

 62%|██████▏   | 6240/10000 [16:37:02<7:47:04,  7.45s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8836865425109863, dino_loss: 0.625, depth_loss: 0.05467958375811577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7606610059738159, dino_loss: 0.6875, depth_loss: 0.06569096446037292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6241/10000 [16:37:09<7:46:02,  7.44s/it]
                                                         
{'loss': 2.2178, 'grad_norm': 4.878279685974121, 'learning_rate': 1.695292373026241e-05, 'epoch': 0.06}

 62%|██████▏   | 6241/10000 [16:37:09<7:46:02,  7.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.2523481845855713, dino_loss: 0.76953125, depth_loss: 0.05579644441604614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8231315016746521, dino_loss: 0.671875, depth_loss: 0.05865591764450073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6242/10000 [16:37:16<7:27:32,  7.15s/it]
                                                         
{'loss': 2.4837, 'grad_norm': 5.148347854614258, 'learning_rate': 1.6945096814300874e-05, 'epoch': 0.06}

 62%|██████▏   | 6242/10000 [16:37:16<7:27:32,  7.15s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8291712999343872, dino_loss: 0.71484375, depth_loss: 0.08083504438400269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8060545325279236, dino_loss: 0.62890625, depth_loss: 0.054019056260585785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6243/10000 [16:37:24<7:57:59,  7.63s/it]
                                                         
{'loss': 2.3491, 'grad_norm': 7.982915878295898, 'learning_rate': 1.6937270779211435e-05, 'epoch': 0.06}

 62%|██████▏   | 6243/10000 [16:37:24<7:57:59,  7.63s/it]the number of masks: 8
seg_loss: 1.0588111877441406, dino_loss: 0.72265625, depth_loss: 0.08829635381698608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.984452486038208, dino_loss: 0.73828125, depth_loss: 0.07466907054185867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6244/10000 [16:37:32<7:53:35,  7.57s/it]
                                                         
{'loss': 2.5674, 'grad_norm': 5.17811918258667, 'learning_rate': 1.6929445625849945e-05, 'epoch': 0.06}

 62%|██████▏   | 6244/10000 [16:37:32<7:53:35,  7.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7597052454948425, dino_loss: 0.65625, depth_loss: 0.08618060499429703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7127255201339722, dino_loss: 0.6875, depth_loss: 0.0693475604057312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6245/10000 [16:37:39<7:47:45,  7.47s/it]
                                                         
{'loss': 1.6273, 'grad_norm': 5.508071422576904, 'learning_rate': 1.6921621355072144e-05, 'epoch': 0.06}

 62%|██████▏   | 6245/10000 [16:37:39<7:47:45,  7.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9769262075424194, dino_loss: 0.6328125, depth_loss: 0.04567314684391022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8240563273429871, dino_loss: 0.73828125, depth_loss: 0.07429736852645874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6246/10000 [16:37:48<8:16:38,  7.94s/it]
                                                         
{'loss': 2.4343, 'grad_norm': 3.7769711017608643, 'learning_rate': 1.6913797967733688e-05, 'epoch': 0.06}

 62%|██████▏   | 6246/10000 [16:37:48<8:16:38,  7.94s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9279758930206299, dino_loss: 0.72265625, depth_loss: 0.04397759959101677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8366214632987976, dino_loss: 0.73828125, depth_loss: 0.06262372434139252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6247/10000 [16:37:56<8:18:32,  7.97s/it]
                                                         
{'loss': 2.2283, 'grad_norm': 7.392800807952881, 'learning_rate': 1.6905975464690127e-05, 'epoch': 0.06}

 62%|██████▏   | 6247/10000 [16:37:56<8:18:32,  7.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8800505995750427, dino_loss: 0.7265625, depth_loss: 0.05605418607592583, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0218629837036133, dino_loss: 0.71875, depth_loss: 0.06320381164550781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6248/10000 [16:38:06<8:51:57,  8.51s/it]
                                                         
{'loss': 1.8677, 'grad_norm': 2.856973886489868, 'learning_rate': 1.689815384679692e-05, 'epoch': 0.06}

 62%|██████▏   | 6248/10000 [16:38:06<8:51:57,  8.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7305902242660522, dino_loss: 0.640625, depth_loss: 0.05962401255965233, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8421518802642822, dino_loss: 0.640625, depth_loss: 0.058975934982299805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▏   | 6249/10000 [16:38:15<9:11:44,  8.83s/it]
                                                         
{'loss': 1.9284, 'grad_norm': 2.9929990768432617, 'learning_rate': 1.6890333114909425e-05, 'epoch': 0.06}

 62%|██████▏   | 6249/10000 [16:38:15<9:11:44,  8.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7800683379173279, dino_loss: 0.67578125, depth_loss: 0.058946393430233, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7849332094192505, dino_loss: 0.67578125, depth_loss: 0.06120552867650986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 62%|██████▎   | 6250/10000 [16:38:23<8:41:24,  8.34s/it]
                                                         
{'loss': 2.1362, 'grad_norm': 5.688886642456055, 'learning_rate': 1.6882513269882917e-05, 'epoch': 0.06}

 62%|██████▎   | 6250/10000 [16:38:23<8:41:24,  8.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8696184158325195, dino_loss: 0.69140625, depth_loss: 0.05611877888441086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8470788598060608, dino_loss: 0.6875, depth_loss: 0.0586497038602829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6251/10000 [16:38:30<8:26:22,  8.10s/it]
                                                         
{'loss': 2.3547, 'grad_norm': 8.057849884033203, 'learning_rate': 1.687469431257255e-05, 'epoch': 0.06}

 63%|██████▎   | 6251/10000 [16:38:30<8:26:22,  8.10s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.924041211605072, dino_loss: 0.68359375, depth_loss: 0.05839305371046066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7743947505950928, dino_loss: 0.671875, depth_loss: 0.04831470176577568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6252/10000 [16:38:38<8:13:08,  7.89s/it]
                                                         
{'loss': 2.4698, 'grad_norm': 5.067206382751465, 'learning_rate': 1.6866876243833393e-05, 'epoch': 0.06}

 63%|██████▎   | 6252/10000 [16:38:38<8:13:08,  7.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8655490875244141, dino_loss: 0.7421875, depth_loss: 0.04956282675266266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7328259944915771, dino_loss: 0.67578125, depth_loss: 0.04908343777060509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6253/10000 [16:38:45<8:03:29,  7.74s/it]
                                                         
{'loss': 2.1904, 'grad_norm': 6.078319549560547, 'learning_rate': 1.6859059064520418e-05, 'epoch': 0.06}

 63%|██████▎   | 6253/10000 [16:38:45<8:03:29,  7.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9361998438835144, dino_loss: 0.6796875, depth_loss: 0.06794612854719162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.50390625, depth_loss: 0.03374603018164635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6254/10000 [16:38:51<7:38:29,  7.34s/it]
                                                         
{'loss': 1.9395, 'grad_norm': 3.382539987564087, 'learning_rate': 1.6851242775488506e-05, 'epoch': 0.06}

 63%|██████▎   | 6254/10000 [16:38:51<7:38:29,  7.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7148407697677612, dino_loss: 0.6171875, depth_loss: 0.05038837343454361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9347427487373352, dino_loss: 0.68359375, depth_loss: 0.05923781171441078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6255/10000 [16:39:00<7:56:52,  7.64s/it]
                                                         
{'loss': 2.2667, 'grad_norm': 4.492697238922119, 'learning_rate': 1.684342737759244e-05, 'epoch': 0.06}

 63%|██████▎   | 6255/10000 [16:39:00<7:56:52,  7.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7889082431793213, dino_loss: 0.68359375, depth_loss: 0.07371232658624649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8910382986068726, dino_loss: 0.66796875, depth_loss: 0.02796522155404091, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6256/10000 [16:39:08<8:03:17,  7.75s/it]
                                                         
{'loss': 2.2257, 'grad_norm': 3.0121421813964844, 'learning_rate': 1.683561287168689e-05, 'epoch': 0.06}

 63%|██████▎   | 6256/10000 [16:39:08<8:03:17,  7.75s/it]the number of masks: 8
seg_loss: 0.9370338320732117, dino_loss: 0.6875, depth_loss: 0.04954731836915016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6271715760231018, dino_loss: 0.57421875, depth_loss: 0.05239434540271759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6257/10000 [16:39:14<7:37:34,  7.33s/it]
                                                         
{'loss': 1.6401, 'grad_norm': 6.397670269012451, 'learning_rate': 1.6827799258626442e-05, 'epoch': 0.06}

 63%|██████▎   | 6257/10000 [16:39:14<7:37:34,  7.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.301992654800415, dino_loss: 0.6796875, depth_loss: 0.058776140213012695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5695938467979431, dino_loss: 0.6953125, depth_loss: 0.05671444907784462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6258/10000 [16:39:22<7:41:14,  7.40s/it]
                                                         
{'loss': 2.3146, 'grad_norm': 5.142786979675293, 'learning_rate': 1.6819986539265582e-05, 'epoch': 0.06}

 63%|██████▎   | 6258/10000 [16:39:22<7:41:14,  7.40s/it]the number of masks: 8
seg_loss: 0.6900741457939148, dino_loss: 0.6484375, depth_loss: 0.06106884405016899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7970523834228516, dino_loss: 0.703125, depth_loss: 0.09998850524425507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6259/10000 [16:39:31<8:20:59,  8.04s/it]
                                                         
{'loss': 1.5673, 'grad_norm': 3.966083288192749, 'learning_rate': 1.681217471445869e-05, 'epoch': 0.06}

 63%|██████▎   | 6259/10000 [16:39:31<8:20:59,  8.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8584092855453491, dino_loss: 0.62109375, depth_loss: 0.04606909304857254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9984722137451172, dino_loss: 0.6953125, depth_loss: 0.0798666775226593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6260/10000 [16:39:40<8:38:33,  8.32s/it]
                                                         
{'loss': 2.6472, 'grad_norm': 2.252007007598877, 'learning_rate': 1.6804363785060056e-05, 'epoch': 0.06}

 63%|██████▎   | 6260/10000 [16:39:40<8:38:33,  8.32s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.3990448713302612, dino_loss: 0.609375, depth_loss: 0.0575353167951107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5465938448905945, dino_loss: 0.734375, depth_loss: 0.05629706382751465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6261/10000 [16:39:47<8:01:09,  7.72s/it]
                                                         
{'loss': 2.0061, 'grad_norm': 6.645456790924072, 'learning_rate': 1.679655375192389e-05, 'epoch': 0.06}

 63%|██████▎   | 6261/10000 [16:39:47<8:01:09,  7.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7368471622467041, dino_loss: 0.703125, depth_loss: 0.07222060859203339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8077068328857422, dino_loss: 0.0, depth_loss: 0.06062682718038559, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6262/10000 [16:39:53<7:38:29,  7.36s/it]
                                                         
{'loss': 1.6405, 'grad_norm': 5.090757846832275, 'learning_rate': 1.678874461590426e-05, 'epoch': 0.06}

 63%|██████▎   | 6262/10000 [16:39:53<7:38:29,  7.36s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0608307123184204, dino_loss: 0.69921875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9639599323272705, dino_loss: 0.71484375, depth_loss: 0.06771641224622726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6263/10000 [16:40:00<7:31:54,  7.26s/it]
                                                         
{'loss': 2.6684, 'grad_norm': 4.82916259765625, 'learning_rate': 1.6780936377855183e-05, 'epoch': 0.06}

 63%|██████▎   | 6263/10000 [16:40:00<7:31:54,  7.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9382321834564209, dino_loss: 0.61328125, depth_loss: 0.07199780642986298, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9688131809234619, dino_loss: 0.65625, depth_loss: 0.061146534979343414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6264/10000 [16:40:11<8:40:43,  8.36s/it]
                                                         
{'loss': 2.495, 'grad_norm': 3.2360339164733887, 'learning_rate': 1.6773129038630547e-05, 'epoch': 0.06}

 63%|██████▎   | 6264/10000 [16:40:11<8:40:43,  8.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.086585283279419, dino_loss: 0.68359375, depth_loss: 0.07715335488319397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8978809118270874, dino_loss: 0.67578125, depth_loss: 0.07192164659500122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6265/10000 [16:40:19<8:32:18,  8.23s/it]
                                                         
{'loss': 2.363, 'grad_norm': 4.154281139373779, 'learning_rate': 1.6765322599084147e-05, 'epoch': 0.06}

 63%|██████▎   | 6265/10000 [16:40:19<8:32:18,  8.23s/it]seg_loss: 0.0, dino_loss: 0.68359375, depth_loss: 0.0729261264204979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.04814743250608444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6266/10000 [16:40:22<7:03:05,  6.80s/it]
                                                         
{'loss': 1.3543, 'grad_norm': 0.8012027740478516, 'learning_rate': 1.6757517060069676e-05, 'epoch': 0.06}

 63%|██████▎   | 6266/10000 [16:40:22<7:03:05,  6.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8832898139953613, dino_loss: 0.60546875, depth_loss: 0.05576888099312782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9512709975242615, dino_loss: 0.72265625, depth_loss: 0.04189804196357727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6267/10000 [16:40:30<7:11:11,  6.93s/it]
                                                         
{'loss': 2.035, 'grad_norm': 5.678323745727539, 'learning_rate': 1.674971242244076e-05, 'epoch': 0.06}

 63%|██████▎   | 6267/10000 [16:40:30<7:11:11,  6.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8806955218315125, dino_loss: 0.70703125, depth_loss: 0.05511581525206566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6120136380195618, dino_loss: 0.66015625, depth_loss: 0.05894383415579796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6268/10000 [16:40:37<7:12:18,  6.95s/it]
                                                         
{'loss': 2.3291, 'grad_norm': 5.078115463256836, 'learning_rate': 1.674190868705089e-05, 'epoch': 0.06}

 63%|██████▎   | 6268/10000 [16:40:37<7:12:18,  6.95s/it]the number of masks: 8
seg_loss: 1.0161638259887695, dino_loss: 0.75, depth_loss: 0.07076461613178253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8336682319641113, dino_loss: 0.69921875, depth_loss: 0.07608295977115631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6269/10000 [16:40:44<7:25:23,  7.16s/it]
                                                         
{'loss': 2.6765, 'grad_norm': 8.602823257446289, 'learning_rate': 1.6734105854753466e-05, 'epoch': 0.06}

 63%|██████▎   | 6269/10000 [16:40:44<7:25:23,  7.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8233937621116638, dino_loss: 0.65234375, depth_loss: 0.049271389842033386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7507805824279785, dino_loss: 0.6328125, depth_loss: 0.05561862885951996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6270/10000 [16:40:53<7:45:59,  7.50s/it]
                                                         
{'loss': 1.9845, 'grad_norm': 4.027263164520264, 'learning_rate': 1.6726303926401792e-05, 'epoch': 0.06}

 63%|██████▎   | 6270/10000 [16:40:53<7:45:59,  7.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7509688138961792, dino_loss: 0.69921875, depth_loss: 0.05796143412590027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8702195882797241, dino_loss: 0.6640625, depth_loss: 0.05899780988693237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6271/10000 [16:41:01<7:59:56,  7.72s/it]
                                                         
{'loss': 2.1789, 'grad_norm': 4.4878997802734375, 'learning_rate': 1.6718502902849093e-05, 'epoch': 0.06}

 63%|██████▎   | 6271/10000 [16:41:01<7:59:56,  7.72s/it]seg_loss: 0.0, dino_loss: 0.5078125, depth_loss: 0.05894777178764343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1304817199707031, dino_loss: 0.703125, depth_loss: 0.058827467262744904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6272/10000 [16:41:06<7:13:52,  6.98s/it]
                                                         
{'loss': 1.652, 'grad_norm': 3.0274648666381836, 'learning_rate': 1.6710702784948456e-05, 'epoch': 0.06}

 63%|██████▎   | 6272/10000 [16:41:06<7:13:52,  6.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9230741858482361, dino_loss: 0.78125, depth_loss: 0.05156795307993889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7850199937820435, dino_loss: 0.640625, depth_loss: 0.07189919054508209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6273/10000 [16:41:13<7:22:07,  7.12s/it]
                                                         
{'loss': 2.5815, 'grad_norm': 2.8719937801361084, 'learning_rate': 1.6702903573552904e-05, 'epoch': 0.06}

 63%|██████▎   | 6273/10000 [16:41:13<7:22:07,  7.12s/it]the number of masks: 8
seg_loss: 0.6851094961166382, dino_loss: 0.765625, depth_loss: 0.07417028397321701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7038412094116211, dino_loss: 0.7890625, depth_loss: 0.0603802315890789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6274/10000 [16:41:20<7:12:20,  6.96s/it]
                                                         
{'loss': 2.2343, 'grad_norm': 7.672677516937256, 'learning_rate': 1.669510526951534e-05, 'epoch': 0.06}

 63%|██████▎   | 6274/10000 [16:41:20<7:12:20,  6.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1954586505889893, dino_loss: 0.63671875, depth_loss: 0.04813908785581589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6594646573066711, dino_loss: 0.69921875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6275/10000 [16:41:29<7:52:54,  7.62s/it]
                                                         
{'loss': 2.4231, 'grad_norm': 2.6272809505462646, 'learning_rate': 1.668730787368858e-05, 'epoch': 0.06}

 63%|██████▎   | 6275/10000 [16:41:29<7:52:54,  7.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6575508117675781, dino_loss: 0.6640625, depth_loss: 0.048462994396686554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8763052821159363, dino_loss: 0.69921875, depth_loss: 0.05165398493409157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6276/10000 [16:41:39<8:37:18,  8.33s/it]
                                                         
{'loss': 2.2953, 'grad_norm': 4.369339942932129, 'learning_rate': 1.6679511386925337e-05, 'epoch': 0.06}

 63%|██████▎   | 6276/10000 [16:41:39<8:37:18,  8.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8534111976623535, dino_loss: 0.671875, depth_loss: 0.07063174247741699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.949140191078186, dino_loss: 0.73828125, depth_loss: 0.05018938332796097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6277/10000 [16:41:46<8:05:47,  7.83s/it]
                                                         
{'loss': 2.2339, 'grad_norm': 3.846674680709839, 'learning_rate': 1.6671715810078217e-05, 'epoch': 0.06}

 63%|██████▎   | 6277/10000 [16:41:46<8:05:47,  7.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6377385258674622, dino_loss: 0.66796875, depth_loss: 0.08192457258701324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9216300249099731, dino_loss: 0.7265625, depth_loss: 0.06353908777236938, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6278/10000 [16:41:54<8:16:55,  8.01s/it]
                                                         
{'loss': 1.6211, 'grad_norm': 3.507028579711914, 'learning_rate': 1.6663921143999733e-05, 'epoch': 0.06}

 63%|██████▎   | 6278/10000 [16:41:54<8:16:55,  8.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7431280016899109, dino_loss: 0.6796875, depth_loss: 0.05437810346484184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.542629599571228, dino_loss: 0.0, depth_loss: 0.07014438509941101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6279/10000 [16:42:02<8:14:02,  7.97s/it]
                                                         
{'loss': 1.8034, 'grad_norm': 4.3051533699035645, 'learning_rate': 1.6656127389542292e-05, 'epoch': 0.06}

 63%|██████▎   | 6279/10000 [16:42:02<8:14:02,  7.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8599510788917542, dino_loss: 0.69921875, depth_loss: 0.06985931843519211, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8608331680297852, dino_loss: 0.703125, depth_loss: 0.055945031344890594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6280/10000 [16:42:12<8:49:55,  8.55s/it]
                                                         
{'loss': 2.4206, 'grad_norm': 2.1968626976013184, 'learning_rate': 1.6648334547558226e-05, 'epoch': 0.06}

 63%|██████▎   | 6280/10000 [16:42:12<8:49:55,  8.55s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8346665501594543, dino_loss: 0.609375, depth_loss: 0.05760563164949417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8189115524291992, dino_loss: 0.6484375, depth_loss: 0.09061823040246964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6281/10000 [16:42:20<8:45:38,  8.48s/it]
                                                         
{'loss': 1.8516, 'grad_norm': 2.873520851135254, 'learning_rate': 1.6640542618899733e-05, 'epoch': 0.06}

 63%|██████▎   | 6281/10000 [16:42:20<8:45:38,  8.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7696683406829834, dino_loss: 0.73828125, depth_loss: 0.06660710275173187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6950371861457825, dino_loss: 0.6328125, depth_loss: 0.05880303308367729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6282/10000 [16:42:32<9:38:58,  9.34s/it]
                                                         
{'loss': 2.3659, 'grad_norm': 3.1706435680389404, 'learning_rate': 1.6632751604418934e-05, 'epoch': 0.06}

 63%|██████▎   | 6282/10000 [16:42:32<9:38:58,  9.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9074094295501709, dino_loss: 0.6796875, depth_loss: 0.10163545608520508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8612660765647888, dino_loss: 0.609375, depth_loss: 0.051032423973083496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6283/10000 [16:42:42<9:55:37,  9.61s/it]
                                                         
{'loss': 2.4273, 'grad_norm': 5.069432735443115, 'learning_rate': 1.662496150496784e-05, 'epoch': 0.06}

 63%|██████▎   | 6283/10000 [16:42:42<9:55:37,  9.61s/it]the number of masks: 8
seg_loss: 1.111220359802246, dino_loss: 0.6484375, depth_loss: 0.04987321421504021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8970096111297607, dino_loss: 0.74609375, depth_loss: 0.04683339223265648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6284/10000 [16:42:49<9:06:46,  8.83s/it]
                                                         
{'loss': 2.5234, 'grad_norm': 3.045910358428955, 'learning_rate': 1.6617172321398362e-05, 'epoch': 0.06}

 63%|██████▎   | 6284/10000 [16:42:49<9:06:46,  8.83s/it]the number of masks: 8
seg_loss: 0.8113781213760376, dino_loss: 0.71875, depth_loss: 0.05932922288775444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7081167101860046, dino_loss: 0.671875, depth_loss: 0.0698026716709137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6285/10000 [16:42:56<8:28:14,  8.21s/it]
                                                         
{'loss': 2.3274, 'grad_norm': 3.667670488357544, 'learning_rate': 1.6609384054562305e-05, 'epoch': 0.06}

 63%|██████▎   | 6285/10000 [16:42:56<8:28:14,  8.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7440335154533386, dino_loss: 0.68359375, depth_loss: 0.06270875036716461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6921578049659729, dino_loss: 0.640625, depth_loss: 0.056500472128391266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6286/10000 [16:43:04<8:34:08,  8.31s/it]
                                                         
{'loss': 2.3662, 'grad_norm': 6.235454082489014, 'learning_rate': 1.6601596705311402e-05, 'epoch': 0.06}

 63%|██████▎   | 6286/10000 [16:43:04<8:34:08,  8.31s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9568129777908325, dino_loss: 0.6875, depth_loss: 0.059761397540569305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.299856185913086, dino_loss: 0.61328125, depth_loss: 0.047144412994384766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6287/10000 [16:43:12<8:19:31,  8.07s/it]
                                                         
{'loss': 2.5859, 'grad_norm': 7.377414703369141, 'learning_rate': 1.6593810274497263e-05, 'epoch': 0.06}

 63%|██████▎   | 6287/10000 [16:43:12<8:19:31,  8.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.007469892501831, dino_loss: 0.63671875, depth_loss: 0.07024366408586502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5802878141403198, dino_loss: 0.59375, depth_loss: 0.056915998458862305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6288/10000 [16:43:19<8:07:17,  7.88s/it]
                                                         
{'loss': 1.9879, 'grad_norm': 6.727782726287842, 'learning_rate': 1.6586024762971387e-05, 'epoch': 0.06}

 63%|██████▎   | 6288/10000 [16:43:19<8:07:17,  7.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7549370527267456, dino_loss: 0.61328125, depth_loss: 0.05488783121109009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9854497909545898, dino_loss: 0.70703125, depth_loss: 0.06701130419969559, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6289/10000 [16:43:27<8:10:32,  7.93s/it]
                                                         
{'loss': 2.1398, 'grad_norm': 4.334570407867432, 'learning_rate': 1.6578240171585195e-05, 'epoch': 0.06}

 63%|██████▎   | 6289/10000 [16:43:27<8:10:32,  7.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8305857181549072, dino_loss: 0.6796875, depth_loss: 0.06559774279594421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5253573656082153, dino_loss: 0.66796875, depth_loss: 0.04088839516043663, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6290/10000 [16:43:36<8:18:31,  8.06s/it]
                                                         
{'loss': 2.4501, 'grad_norm': 2.211258888244629, 'learning_rate': 1.6570456501189998e-05, 'epoch': 0.06}

 63%|██████▎   | 6290/10000 [16:43:36<8:18:31,  8.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8469197154045105, dino_loss: 0.75390625, depth_loss: 0.054978687316179276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8643074035644531, dino_loss: 0.6875, depth_loss: 0.05475770682096481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6291/10000 [16:43:44<8:26:44,  8.20s/it]
                                                         
{'loss': 2.6715, 'grad_norm': 2.9014675617218018, 'learning_rate': 1.6562673752636996e-05, 'epoch': 0.06}

 63%|██████▎   | 6291/10000 [16:43:44<8:26:44,  8.20s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0070381164550781, dino_loss: 0.6875, depth_loss: 0.03895832598209381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8325415253639221, dino_loss: 0.71875, depth_loss: 0.055695176124572754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6292/10000 [16:43:52<8:12:48,  7.97s/it]
                                                         
{'loss': 2.3761, 'grad_norm': 3.745110511779785, 'learning_rate': 1.6554891926777306e-05, 'epoch': 0.06}

 63%|██████▎   | 6292/10000 [16:43:52<8:12:48,  7.97s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7902156710624695, dino_loss: 0.64453125, depth_loss: 0.058279942721128464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0584850311279297, dino_loss: 0.75, depth_loss: 0.0773087814450264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6293/10000 [16:43:59<8:06:29,  7.87s/it]
                                                         
{'loss': 2.3045, 'grad_norm': 3.967278003692627, 'learning_rate': 1.654711102446195e-05, 'epoch': 0.06}

 63%|██████▎   | 6293/10000 [16:43:59<8:06:29,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6918771266937256, dino_loss: 0.6640625, depth_loss: 0.05700252577662468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0204508304595947, dino_loss: 0.71484375, depth_loss: 0.06314976513385773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6294/10000 [16:44:08<8:18:51,  8.08s/it]
                                                         
{'loss': 2.3903, 'grad_norm': 3.717013120651245, 'learning_rate': 1.6539331046541812e-05, 'epoch': 0.06}

 63%|██████▎   | 6294/10000 [16:44:08<8:18:51,  8.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8848776817321777, dino_loss: 0.6640625, depth_loss: 0.04174378141760826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7884052991867065, dino_loss: 0.71875, depth_loss: 0.05668952316045761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6295/10000 [16:44:17<8:47:29,  8.54s/it]
                                                         
{'loss': 2.5826, 'grad_norm': 3.3905861377716064, 'learning_rate': 1.6531551993867717e-05, 'epoch': 0.06}

 63%|██████▎   | 6295/10000 [16:44:17<8:47:29,  8.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9584779143333435, dino_loss: 0.64453125, depth_loss: 0.07357188314199448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7509607076644897, dino_loss: 0.5, depth_loss: 0.03183424845337868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6296/10000 [16:44:27<8:59:33,  8.74s/it]
                                                         
{'loss': 2.0254, 'grad_norm': 3.047926425933838, 'learning_rate': 1.6523773867290366e-05, 'epoch': 0.06}

 63%|██████▎   | 6296/10000 [16:44:27<8:59:33,  8.74s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8712034225463867, dino_loss: 0.7109375, depth_loss: 0.055821727961301804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9626105427742004, dino_loss: 0.6875, depth_loss: 0.055465079843997955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6297/10000 [16:44:34<8:25:20,  8.19s/it]
                                                         
{'loss': 2.4185, 'grad_norm': 5.599710941314697, 'learning_rate': 1.651599666766036e-05, 'epoch': 0.06}

 63%|██████▎   | 6297/10000 [16:44:34<8:25:20,  8.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5982444286346436, dino_loss: 0.640625, depth_loss: 0.0494333878159523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.477886438369751, dino_loss: 0.6640625, depth_loss: 0.039642803370952606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6298/10000 [16:44:42<8:24:30,  8.18s/it]
                                                         
{'loss': 1.4607, 'grad_norm': 2.2959868907928467, 'learning_rate': 1.650822039582819e-05, 'epoch': 0.06}

 63%|██████▎   | 6298/10000 [16:44:42<8:24:30,  8.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8914332389831543, dino_loss: 0.65625, depth_loss: 0.056346043944358826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6670047640800476, dino_loss: 0.6875, depth_loss: 0.07493418455123901, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6299/10000 [16:44:49<8:15:21,  8.03s/it]
                                                         
{'loss': 2.547, 'grad_norm': 14.126157760620117, 'learning_rate': 1.6500445052644282e-05, 'epoch': 0.06}

 63%|██████▎   | 6299/10000 [16:44:49<8:15:21,  8.03s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8752055764198303, dino_loss: 0.75, depth_loss: 0.07847640663385391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8466883301734924, dino_loss: 0.68359375, depth_loss: 0.05186064541339874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6300/10000 [16:44:57<8:04:28,  7.86s/it]
                                                         
{'loss': 2.6733, 'grad_norm': 4.543262004852295, 'learning_rate': 1.6492670638958924e-05, 'epoch': 0.06}

 63%|██████▎   | 6300/10000 [16:44:57<8:04:28,  7.86s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7722221612930298, dino_loss: 0.67578125, depth_loss: 0.060176294296979904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.707740068435669, dino_loss: 0.60546875, depth_loss: 0.07401710003614426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6301/10000 [16:45:04<7:55:39,  7.72s/it]
                                                         
{'loss': 1.9694, 'grad_norm': 5.701849937438965, 'learning_rate': 1.6484897155622315e-05, 'epoch': 0.06}

 63%|██████▎   | 6301/10000 [16:45:04<7:55:39,  7.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9937537908554077, dino_loss: 0.6953125, depth_loss: 0.06183577701449394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8388453722000122, dino_loss: 0.5546875, depth_loss: 0.042662363499403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6302/10000 [16:45:12<7:51:17,  7.65s/it]
                                                         
{'loss': 2.754, 'grad_norm': 3.090893507003784, 'learning_rate': 1.6477124603484552e-05, 'epoch': 0.06}

 63%|██████▎   | 6302/10000 [16:45:12<7:51:17,  7.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.68560391664505, dino_loss: 0.69921875, depth_loss: 0.05707581341266632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6703185439109802, dino_loss: 0.59375, depth_loss: 0.044647812843322754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6303/10000 [16:45:22<8:39:20,  8.43s/it]
                                                         
{'loss': 1.9448, 'grad_norm': 2.155146598815918, 'learning_rate': 1.6469352983395627e-05, 'epoch': 0.06}

 63%|██████▎   | 6303/10000 [16:45:22<8:39:20,  8.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7107168436050415, dino_loss: 0.71484375, depth_loss: 0.06523734331130981, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.6517475843429565, dino_loss: 0.6796875, depth_loss: 0.04098610579967499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6304/10000 [16:45:32<9:09:38,  8.92s/it]
                                                         
{'loss': 2.0091, 'grad_norm': 5.839915752410889, 'learning_rate': 1.6461582296205425e-05, 'epoch': 0.06}

 63%|██████▎   | 6304/10000 [16:45:32<9:09:38,  8.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.901355504989624, dino_loss: 0.66015625, depth_loss: 0.05796344578266144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9293138980865479, dino_loss: 0.703125, depth_loss: 0.06669099628925323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6305/10000 [16:45:40<8:49:17,  8.59s/it]
                                                         
{'loss': 1.9836, 'grad_norm': 4.916825771331787, 'learning_rate': 1.6453812542763752e-05, 'epoch': 0.06}

 63%|██████▎   | 6305/10000 [16:45:40<8:49:17,  8.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.009688138961792, dino_loss: 0.71484375, depth_loss: 0.034819744527339935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7458317279815674, dino_loss: 0.7265625, depth_loss: 0.047333091497421265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6306/10000 [16:45:49<9:04:12,  8.84s/it]
                                                         
{'loss': 2.33, 'grad_norm': 3.997638702392578, 'learning_rate': 1.6446043723920295e-05, 'epoch': 0.06}

 63%|██████▎   | 6306/10000 [16:45:49<9:04:12,  8.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8477776050567627, dino_loss: 0.6875, depth_loss: 0.05962943285703659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9425567388534546, dino_loss: 0.69921875, depth_loss: 0.059847425669431686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6307/10000 [16:45:59<9:14:05,  9.00s/it]
                                                         
{'loss': 2.2431, 'grad_norm': 4.06272554397583, 'learning_rate': 1.6438275840524634e-05, 'epoch': 0.06}

 63%|██████▎   | 6307/10000 [16:45:59<9:14:05,  9.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6848761439323425, dino_loss: 0.60546875, depth_loss: 0.057259947061538696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6385853290557861, dino_loss: 0.56640625, depth_loss: 0.043453723192214966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6308/10000 [16:46:08<9:17:58,  9.07s/it]
                                                         
{'loss': 1.7106, 'grad_norm': 2.0098609924316406, 'learning_rate': 1.6430508893426256e-05, 'epoch': 0.06}

 63%|██████▎   | 6308/10000 [16:46:08<9:17:58,  9.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7590246796607971, dino_loss: 0.6875, depth_loss: 0.08040914684534073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6217555999755859, dino_loss: 0.59765625, depth_loss: 0.05303291976451874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6309/10000 [16:46:16<8:52:50,  8.66s/it]
                                                         
{'loss': 2.1264, 'grad_norm': 7.50196647644043, 'learning_rate': 1.642274288347454e-05, 'epoch': 0.06}

 63%|██████▎   | 6309/10000 [16:46:16<8:52:50,  8.66s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7116402387619019, dino_loss: 0.6640625, depth_loss: 0.03141370415687561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7208505868911743, dino_loss: 0.578125, depth_loss: 0.04731369763612747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6310/10000 [16:46:24<8:50:17,  8.62s/it]
                                                         
{'loss': 1.7763, 'grad_norm': 4.136348724365234, 'learning_rate': 1.641497781151877e-05, 'epoch': 0.06}

 63%|██████▎   | 6310/10000 [16:46:24<8:50:17,  8.62s/it]the number of masks: 8
seg_loss: 0.3813400864601135, dino_loss: 0.5703125, depth_loss: 0.0258400347083807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0394468307495117, dino_loss: 0.7578125, depth_loss: 0.09056197106838226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6311/10000 [16:46:30<8:06:52,  7.92s/it]
                                                         
{'loss': 2.4543, 'grad_norm': 6.317657947540283, 'learning_rate': 1.64072136784081e-05, 'epoch': 0.06}

 63%|██████▎   | 6311/10000 [16:46:30<8:06:52,  7.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.843956470489502, dino_loss: 0.703125, depth_loss: 0.06184972822666168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7347790002822876, dino_loss: 0.71484375, depth_loss: 0.057031627744436264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6312/10000 [16:46:37<7:34:25,  7.39s/it]
                                                         
{'loss': 1.8144, 'grad_norm': 2.451409101486206, 'learning_rate': 1.6399450484991642e-05, 'epoch': 0.06}

 63%|██████▎   | 6312/10000 [16:46:37<7:34:25,  7.39s/it]the number of masks: 8
seg_loss: 0.7296428680419922, dino_loss: 0.7109375, depth_loss: 0.07986348867416382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1676480770111084, dino_loss: 0.64453125, depth_loss: 0.05617491528391838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6313/10000 [16:46:44<7:30:09,  7.33s/it]
                                                         
{'loss': 2.0748, 'grad_norm': 9.23572063446045, 'learning_rate': 1.6391688232118342e-05, 'epoch': 0.06}

 63%|██████▎   | 6313/10000 [16:46:44<7:30:09,  7.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0087780952453613, dino_loss: 0.70703125, depth_loss: 0.05743848532438278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5147147178649902, dino_loss: 0.5, depth_loss: 0.048177365213632584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6314/10000 [16:46:53<8:02:36,  7.86s/it]
                                                         
{'loss': 2.052, 'grad_norm': 3.550799608230591, 'learning_rate': 1.6383926920637077e-05, 'epoch': 0.06}

 63%|██████▎   | 6314/10000 [16:46:53<8:02:36,  7.86s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5785025358200073, dino_loss: 0.59765625, depth_loss: 0.05577680468559265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.876553475856781, dino_loss: 0.0, depth_loss: 0.06925211101770401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6315/10000 [16:47:02<8:26:54,  8.25s/it]
                                                         
{'loss': 1.9253, 'grad_norm': 4.379768371582031, 'learning_rate': 1.6376166551396607e-05, 'epoch': 0.06}

 63%|██████▎   | 6315/10000 [16:47:02<8:26:54,  8.25s/it]the number of masks: 8
seg_loss: 1.0427556037902832, dino_loss: 0.65234375, depth_loss: 0.056998372077941895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7698046565055847, dino_loss: 0.7421875, depth_loss: 0.046890683472156525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6316/10000 [16:47:10<8:13:58,  8.05s/it]
                                                         
{'loss': 2.4809, 'grad_norm': 5.364646911621094, 'learning_rate': 1.6368407125245598e-05, 'epoch': 0.06}

 63%|██████▎   | 6316/10000 [16:47:10<8:13:58,  8.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8265473246574402, dino_loss: 0.6796875, depth_loss: 0.0596141442656517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7611063718795776, dino_loss: 0.73046875, depth_loss: 0.05969633907079697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6317/10000 [16:47:19<8:47:42,  8.60s/it]
                                                         
{'loss': 2.1885, 'grad_norm': 4.201511383056641, 'learning_rate': 1.6360648643032613e-05, 'epoch': 0.06}

 63%|██████▎   | 6317/10000 [16:47:19<8:47:42,  8.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6028517484664917, dino_loss: 0.625, depth_loss: 0.04206119477748871, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7626231908798218, dino_loss: 0.8203125, depth_loss: 0.05495775118470192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6318/10000 [16:47:28<8:38:28,  8.45s/it]
                                                         
{'loss': 2.2374, 'grad_norm': 4.069974899291992, 'learning_rate': 1.63528911056061e-05, 'epoch': 0.06}

 63%|██████▎   | 6318/10000 [16:47:28<8:38:28,  8.45s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0085101127624512, dino_loss: 0.703125, depth_loss: 0.04845751076936722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6780458092689514, dino_loss: 0.703125, depth_loss: 0.07778213918209076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6319/10000 [16:47:35<8:16:04,  8.09s/it]
                                                         
{'loss': 1.6866, 'grad_norm': 6.479613780975342, 'learning_rate': 1.6345134513814408e-05, 'epoch': 0.06}

 63%|██████▎   | 6319/10000 [16:47:35<8:16:04,  8.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6851473450660706, dino_loss: 0.60546875, depth_loss: 0.0618487223982811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 1.0701544284820557, dino_loss: 0.73828125, depth_loss: 0.07611870020627975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6320/10000 [16:47:46<9:19:50,  9.13s/it]
                                                         
{'loss': 2.3583, 'grad_norm': 3.3960678577423096, 'learning_rate': 1.6337378868505805e-05, 'epoch': 0.06}

 63%|██████▎   | 6320/10000 [16:47:46<9:19:50,  9.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7516965866088867, dino_loss: 0.66796875, depth_loss: 0.04658150672912598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.860526442527771, dino_loss: 0.69140625, depth_loss: 0.05743544548749924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6321/10000 [16:47:55<9:16:55,  9.08s/it]
                                                         
{'loss': 1.821, 'grad_norm': 2.2945594787597656, 'learning_rate': 1.632962417052842e-05, 'epoch': 0.06}

 63%|██████▎   | 6321/10000 [16:47:55<9:16:55,  9.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7271236181259155, dino_loss: 0.62109375, depth_loss: 0.0361764058470726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8358995318412781, dino_loss: 0.6953125, depth_loss: 0.07181816548109055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6322/10000 [16:48:03<8:55:37,  8.74s/it]
                                                         
{'loss': 1.9365, 'grad_norm': 3.793215751647949, 'learning_rate': 1.63218704207303e-05, 'epoch': 0.06}

 63%|██████▎   | 6322/10000 [16:48:03<8:55:37,  8.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8421847820281982, dino_loss: 0.765625, depth_loss: 0.0450572669506073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5334106683731079, dino_loss: 0.59765625, depth_loss: 0.04513956978917122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6323/10000 [16:48:12<9:02:20,  8.85s/it]
                                                         
{'loss': 2.183, 'grad_norm': 2.7536258697509766, 'learning_rate': 1.6314117619959372e-05, 'epoch': 0.06}

 63%|██████▎   | 6323/10000 [16:48:12<9:02:20,  8.85s/it]the number of masks: 8
seg_loss: 1.0057352781295776, dino_loss: 0.69921875, depth_loss: 0.09212198108434677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8465482592582703, dino_loss: 0.75, depth_loss: 0.09223031997680664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6324/10000 [16:48:19<8:18:30,  8.14s/it]
                                                         
{'loss': 2.7362, 'grad_norm': 17.60282325744629, 'learning_rate': 1.6306365769063498e-05, 'epoch': 0.06}

 63%|██████▎   | 6324/10000 [16:48:19<8:18:30,  8.14s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8119924664497375, dino_loss: 0.75390625, depth_loss: 0.0861697643995285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7469030022621155, dino_loss: 0.6796875, depth_loss: 0.07536272704601288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6325/10000 [16:48:28<8:44:19,  8.56s/it]
                                                         
{'loss': 2.3301, 'grad_norm': 2.1511282920837402, 'learning_rate': 1.6298614868890387e-05, 'epoch': 0.06}

 63%|██████▎   | 6325/10000 [16:48:28<8:44:19,  8.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5752149224281311, dino_loss: 0.66796875, depth_loss: 0.04139194265007973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0915138721466064, dino_loss: 0.71484375, depth_loss: 0.06544633954763412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6326/10000 [16:48:38<9:03:56,  8.88s/it]
                                                         
{'loss': 2.1924, 'grad_norm': 3.6518959999084473, 'learning_rate': 1.6290864920287675e-05, 'epoch': 0.06}

 63%|██████▎   | 6326/10000 [16:48:38<9:03:56,  8.88s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8721071481704712, dino_loss: 0.71484375, depth_loss: 0.07173234969377518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9471936225891113, dino_loss: 0.61328125, depth_loss: 0.0412801131606102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6327/10000 [16:48:45<8:31:37,  8.36s/it]
                                                         
{'loss': 2.3435, 'grad_norm': 4.96486759185791, 'learning_rate': 1.628311592410288e-05, 'epoch': 0.06}

 63%|██████▎   | 6327/10000 [16:48:45<8:31:37,  8.36s/it]the number of masks: 8
seg_loss: 1.0534148216247559, dino_loss: 0.6171875, depth_loss: 0.055145762860774994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8857941627502441, dino_loss: 0.77734375, depth_loss: 0.056612491607666016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6328/10000 [16:48:54<8:31:49,  8.36s/it]
                                                         
{'loss': 2.6072, 'grad_norm': 4.54649019241333, 'learning_rate': 1.6275367881183425e-05, 'epoch': 0.06}

 63%|██████▎   | 6328/10000 [16:48:54<8:31:49,  8.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8340768218040466, dino_loss: 0.0, depth_loss: 0.03590456396341324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9133406281471252, dino_loss: 0.6484375, depth_loss: 0.05284538492560387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6329/10000 [16:49:02<8:40:17,  8.50s/it]
                                                         
{'loss': 1.9864, 'grad_norm': 3.7861459255218506, 'learning_rate': 1.626762079237662e-05, 'epoch': 0.06}

 63%|██████▎   | 6329/10000 [16:49:02<8:40:17,  8.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6368011236190796, dino_loss: 0.6796875, depth_loss: 0.03918343037366867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8355259299278259, dino_loss: 0.0, depth_loss: 0.04800059646368027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6330/10000 [16:49:10<8:24:35,  8.25s/it]
                                                         
{'loss': 1.3443, 'grad_norm': 3.0259132385253906, 'learning_rate': 1.6259874658529663e-05, 'epoch': 0.06}

 63%|██████▎   | 6330/10000 [16:49:10<8:24:35,  8.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6681733131408691, dino_loss: 0.61328125, depth_loss: 0.05245440453290939, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6572935581207275, dino_loss: 0.51171875, depth_loss: 0.040758661925792694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6331/10000 [16:49:18<8:24:31,  8.25s/it]
                                                         
{'loss': 1.6576, 'grad_norm': 3.917565107345581, 'learning_rate': 1.6252129480489688e-05, 'epoch': 0.06}

 63%|██████▎   | 6331/10000 [16:49:18<8:24:31,  8.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7411055564880371, dino_loss: 0.61328125, depth_loss: 0.06548504531383514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7346848249435425, dino_loss: 0.67578125, depth_loss: 0.05367153137922287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6332/10000 [16:49:26<8:21:11,  8.20s/it]
                                                         
{'loss': 1.8772, 'grad_norm': 11.926139831542969, 'learning_rate': 1.6244385259103674e-05, 'epoch': 0.06}

 63%|██████▎   | 6332/10000 [16:49:26<8:21:11,  8.20s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0482940673828125, dino_loss: 0.69921875, depth_loss: 0.07882870733737946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.913852870464325, dino_loss: 0.703125, depth_loss: 0.05170582979917526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6333/10000 [16:49:35<8:27:06,  8.30s/it]
                                                         
{'loss': 2.7459, 'grad_norm': 3.744107961654663, 'learning_rate': 1.623664199521853e-05, 'epoch': 0.06}

 63%|██████▎   | 6333/10000 [16:49:35<8:27:06,  8.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7413852214813232, dino_loss: 0.70703125, depth_loss: 0.05364944785833359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9079390168190002, dino_loss: 0.0, depth_loss: 0.0647907555103302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6334/10000 [16:49:43<8:16:23,  8.12s/it]
                                                         
{'loss': 1.851, 'grad_norm': 14.886246681213379, 'learning_rate': 1.6228899689681036e-05, 'epoch': 0.06}

 63%|██████▎   | 6334/10000 [16:49:43<8:16:23,  8.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8600875735282898, dino_loss: 0.6875, depth_loss: 0.05976342409849167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7473874092102051, dino_loss: 0.70703125, depth_loss: 0.0750110000371933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6335/10000 [16:49:52<8:32:18,  8.39s/it]
                                                         
{'loss': 2.0958, 'grad_norm': 6.252964973449707, 'learning_rate': 1.622115834333789e-05, 'epoch': 0.06}

 63%|██████▎   | 6335/10000 [16:49:52<8:32:18,  8.39s/it]the number of masks: 8
seg_loss: 1.0096025466918945, dino_loss: 0.69921875, depth_loss: 0.07293735444545746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8844749927520752, dino_loss: 0.72265625, depth_loss: 0.05062299594283104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6336/10000 [16:50:00<8:31:01,  8.37s/it]
                                                         
{'loss': 2.6338, 'grad_norm': 6.40433931350708, 'learning_rate': 1.621341795703566e-05, 'epoch': 0.06}

 63%|██████▎   | 6336/10000 [16:50:00<8:31:01,  8.37s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.918677806854248, dino_loss: 0.703125, depth_loss: 0.06414630264043808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8430952429771423, dino_loss: 0.72265625, depth_loss: 0.05734970048069954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6337/10000 [16:50:08<8:23:45,  8.25s/it]
                                                         
{'loss': 2.0983, 'grad_norm': 2.8708767890930176, 'learning_rate': 1.620567853162084e-05, 'epoch': 0.06}

 63%|██████▎   | 6337/10000 [16:50:08<8:23:45,  8.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8513466715812683, dino_loss: 0.74609375, depth_loss: 0.07696745544672012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.983409583568573, dino_loss: 0.6953125, depth_loss: 0.07616332173347473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6338/10000 [16:50:17<8:33:27,  8.41s/it]
                                                         
{'loss': 1.7836, 'grad_norm': 4.431507110595703, 'learning_rate': 1.619794006793979e-05, 'epoch': 0.06}

 63%|██████▎   | 6338/10000 [16:50:17<8:33:27,  8.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9049645662307739, dino_loss: 0.7265625, depth_loss: 0.06524893641471863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.05252101644873619, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6339/10000 [16:50:23<7:52:19,  7.74s/it]
                                                         
{'loss': 1.8744, 'grad_norm': 3.0669991970062256, 'learning_rate': 1.6190202566838783e-05, 'epoch': 0.06}

 63%|██████▎   | 6339/10000 [16:50:23<7:52:19,  7.74s/it]the number of masks: 8
seg_loss: 0.8700118064880371, dino_loss: 0.0, depth_loss: 0.09450925141572952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0691888332366943, dino_loss: 0.68359375, depth_loss: 0.05412200093269348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6340/10000 [16:50:28<7:13:05,  7.10s/it]
                                                         
{'loss': 2.3882, 'grad_norm': 7.9771504402160645, 'learning_rate': 1.6182466029163975e-05, 'epoch': 0.06}

 63%|██████▎   | 6340/10000 [16:50:28<7:13:05,  7.10s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9219340085983276, dino_loss: 0.66015625, depth_loss: 0.0729045569896698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.625, depth_loss: 0.07217969000339508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6341/10000 [16:50:34<6:39:48,  6.56s/it]
                                                         
{'loss': 1.5575, 'grad_norm': 3.5082430839538574, 'learning_rate': 1.6174730455761427e-05, 'epoch': 0.06}

 63%|██████▎   | 6341/10000 [16:50:34<6:39:48,  6.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8825464248657227, dino_loss: 0.65625, depth_loss: 0.047020189464092255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8817629218101501, dino_loss: 0.6484375, depth_loss: 0.07733575999736786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6342/10000 [16:50:44<7:45:05,  7.63s/it]
                                                         
{'loss': 1.997, 'grad_norm': 3.5434179306030273, 'learning_rate': 1.6166995847477083e-05, 'epoch': 0.06}

 63%|██████▎   | 6342/10000 [16:50:44<7:45:05,  7.63s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8548007607460022, dino_loss: 0.703125, depth_loss: 0.05727287754416466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9872435331344604, dino_loss: 0.64453125, depth_loss: 0.049594685435295105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6343/10000 [16:50:52<7:48:18,  7.68s/it]
                                                         
{'loss': 2.1921, 'grad_norm': 3.073286533355713, 'learning_rate': 1.61592622051568e-05, 'epoch': 0.06}

 63%|██████▎   | 6343/10000 [16:50:52<7:48:18,  7.68s/it]the number of masks: 8
seg_loss: 0.7708249092102051, dino_loss: 0.62890625, depth_loss: 0.04682646319270134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8095646500587463, dino_loss: 0.62890625, depth_loss: 0.04685647040605545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6344/10000 [16:50:58<7:26:09,  7.32s/it]
                                                         
{'loss': 2.1184, 'grad_norm': 8.204341888427734, 'learning_rate': 1.6151529529646302e-05, 'epoch': 0.06}

 63%|██████▎   | 6344/10000 [16:50:58<7:26:09,  7.32s/it]the number of masks: 8
seg_loss: 0.9702011346817017, dino_loss: 0.69140625, depth_loss: 0.09199429303407669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9110329151153564, dino_loss: 0.6796875, depth_loss: 0.05136149376630783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6345/10000 [16:51:04<6:56:51,  6.84s/it]
                                                         
{'loss': 2.2737, 'grad_norm': 7.585928916931152, 'learning_rate': 1.614379782179124e-05, 'epoch': 0.06}

 63%|██████▎   | 6345/10000 [16:51:04<6:56:51,  6.84s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7708971500396729, dino_loss: 0.51171875, depth_loss: 0.04588528349995613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7899207472801208, dino_loss: 0.6796875, depth_loss: 0.04878072813153267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6346/10000 [16:51:12<7:19:03,  7.21s/it]
                                                         
{'loss': 1.946, 'grad_norm': 8.783267974853516, 'learning_rate': 1.6136067082437132e-05, 'epoch': 0.06}

 63%|██████▎   | 6346/10000 [16:51:12<7:19:03,  7.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7352418899536133, dino_loss: 0.67578125, depth_loss: 0.06297850608825684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7160561084747314, dino_loss: 0.72265625, depth_loss: 0.07099432498216629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6347/10000 [16:51:20<7:36:13,  7.49s/it]
                                                         
{'loss': 1.714, 'grad_norm': 3.5299999713897705, 'learning_rate': 1.6128337312429397e-05, 'epoch': 0.06}

 63%|██████▎   | 6347/10000 [16:51:20<7:36:13,  7.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8127412796020508, dino_loss: 0.66796875, depth_loss: 0.06198770925402641, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.024815559387207, dino_loss: 0.70703125, depth_loss: 0.06772865355014801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6348/10000 [16:51:28<7:46:30,  7.66s/it]
                                                         
{'loss': 2.1994, 'grad_norm': 3.494563341140747, 'learning_rate': 1.612060851261336e-05, 'epoch': 0.06}

 63%|██████▎   | 6348/10000 [16:51:28<7:46:30,  7.66s/it]the number of masks: 8
seg_loss: 0.43349868059158325, dino_loss: 0.5703125, depth_loss: 0.03422652930021286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7740005254745483, dino_loss: 0.6015625, depth_loss: 0.05742599442601204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 63%|██████▎   | 6349/10000 [16:51:35<7:32:27,  7.44s/it]
                                                         
{'loss': 1.8882, 'grad_norm': 7.800878524780273, 'learning_rate': 1.6112880683834216e-05, 'epoch': 0.06}

 63%|██████▎   | 6349/10000 [16:51:35<7:32:27,  7.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8793580532073975, dino_loss: 0.6796875, depth_loss: 0.07031899690628052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0133368968963623, dino_loss: 0.765625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6350/10000 [16:51:42<7:16:44,  7.18s/it]
                                                         
{'loss': 2.7284, 'grad_norm': 10.881048202514648, 'learning_rate': 1.6105153826937085e-05, 'epoch': 0.06}

 64%|██████▎   | 6350/10000 [16:51:42<7:16:44,  7.18s/it]the number of masks: 8
seg_loss: 0.916754424571991, dino_loss: 0.76953125, depth_loss: 0.03761846572160721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4628599286079407, dino_loss: 0.515625, depth_loss: 0.03664141520857811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6351/10000 [16:51:47<6:40:52,  6.59s/it]
                                                         
{'loss': 2.1339, 'grad_norm': 4.511980056762695, 'learning_rate': 1.6097427942766962e-05, 'epoch': 0.06}

 64%|██████▎   | 6351/10000 [16:51:47<6:40:52,  6.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7980197668075562, dino_loss: 0.625, depth_loss: 0.05152555927634239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9162523150444031, dino_loss: 0.69140625, depth_loss: 0.06936724483966827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6352/10000 [16:51:56<7:18:35,  7.21s/it]
                                                         
{'loss': 2.2707, 'grad_norm': 7.530074119567871, 'learning_rate': 1.6089703032168733e-05, 'epoch': 0.06}

 64%|██████▎   | 6352/10000 [16:51:56<7:18:35,  7.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6207131147384644, dino_loss: 0.68359375, depth_loss: 0.054149970412254333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.876825213432312, dino_loss: 0.6640625, depth_loss: 0.08222222328186035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6353/10000 [16:52:03<7:29:33,  7.40s/it]
                                                         
{'loss': 1.5633, 'grad_norm': 3.705821990966797, 'learning_rate': 1.608197909598719e-05, 'epoch': 0.06}

 64%|██████▎   | 6353/10000 [16:52:03<7:29:33,  7.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0248467922210693, dino_loss: 0.6796875, depth_loss: 0.08010803908109665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7221759557723999, dino_loss: 0.65234375, depth_loss: 0.042942650616168976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6354/10000 [16:52:13<8:14:22,  8.14s/it]
                                                         
{'loss': 2.478, 'grad_norm': 3.224494218826294, 'learning_rate': 1.6074256135066995e-05, 'epoch': 0.06}

 64%|██████▎   | 6354/10000 [16:52:13<8:14:22,  8.14s/it]the number of masks: 8
seg_loss: 0.9110867381095886, dino_loss: 0.75, depth_loss: 0.050191834568977356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8995878100395203, dino_loss: 0.0, depth_loss: 0.05027183145284653, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6355/10000 [16:52:18<7:20:49,  7.26s/it]
                                                         
{'loss': 1.6993, 'grad_norm': 6.442583084106445, 'learning_rate': 1.6066534150252727e-05, 'epoch': 0.06}

 64%|██████▎   | 6355/10000 [16:52:18<7:20:49,  7.26s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8072972297668457, dino_loss: 0.67578125, depth_loss: 0.06056145578622818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.945358157157898, dino_loss: 0.0, depth_loss: 0.04956432431936264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6356/10000 [16:52:25<7:01:56,  6.95s/it]
                                                         
{'loss': 2.0031, 'grad_norm': 3.973078489303589, 'learning_rate': 1.6058813142388856e-05, 'epoch': 0.06}

 64%|██████▎   | 6356/10000 [16:52:25<7:01:56,  6.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6613731980323792, dino_loss: 0.0, depth_loss: 0.09001955389976501, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8743894100189209, dino_loss: 0.58203125, depth_loss: 0.06307493150234222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6357/10000 [16:52:34<7:52:49,  7.79s/it]
                                                         
{'loss': 2.2535, 'grad_norm': 2.669619560241699, 'learning_rate': 1.6051093112319744e-05, 'epoch': 0.06}

 64%|██████▎   | 6357/10000 [16:52:34<7:52:49,  7.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.307977557182312, dino_loss: 0.67578125, depth_loss: 0.053869396448135376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8677886128425598, dino_loss: 0.70703125, depth_loss: 0.050901636481285095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6358/10000 [16:52:45<8:45:59,  8.67s/it]
                                                         
{'loss': 2.3672, 'grad_norm': 3.1727001667022705, 'learning_rate': 1.604337406088963e-05, 'epoch': 0.06}

 64%|██████▎   | 6358/10000 [16:52:45<8:45:59,  8.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7866330146789551, dino_loss: 0.66015625, depth_loss: 0.05424102768301964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9396034479141235, dino_loss: 0.66015625, depth_loss: 0.060107119381427765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6359/10000 [16:52:53<8:22:33,  8.28s/it]
                                                         
{'loss': 2.8721, 'grad_norm': 6.631363391876221, 'learning_rate': 1.6035655988942662e-05, 'epoch': 0.06}

 64%|██████▎   | 6359/10000 [16:52:53<8:22:33,  8.28s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5858388543128967, dino_loss: 0.65625, depth_loss: 0.05870522931218147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9729998707771301, dino_loss: 0.66796875, depth_loss: 0.057142339646816254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6360/10000 [16:52:59<7:51:59,  7.78s/it]
                                                         
{'loss': 1.9502, 'grad_norm': 4.516825199127197, 'learning_rate': 1.602793889732288e-05, 'epoch': 0.06}

 64%|██████▎   | 6360/10000 [16:52:59<7:51:59,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8538708090782166, dino_loss: 0.65625, depth_loss: 0.0511026456952095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9470453262329102, dino_loss: 0.69140625, depth_loss: 0.06254252046346664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6361/10000 [16:53:06<7:38:44,  7.56s/it]
                                                         
{'loss': 2.1416, 'grad_norm': 2.7750909328460693, 'learning_rate': 1.6020222786874207e-05, 'epoch': 0.06}

 64%|██████▎   | 6361/10000 [16:53:06<7:38:44,  7.56s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7562809586524963, dino_loss: 0.67578125, depth_loss: 0.05771220847964287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5004957914352417, dino_loss: 0.609375, depth_loss: 0.044934846460819244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6362/10000 [16:53:14<7:39:58,  7.59s/it]
                                                         
{'loss': 1.5765, 'grad_norm': 4.0119123458862305, 'learning_rate': 1.6012507658440467e-05, 'epoch': 0.06}

 64%|██████▎   | 6362/10000 [16:53:14<7:39:58,  7.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8550912737846375, dino_loss: 0.765625, depth_loss: 0.06303609907627106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8654180765151978, dino_loss: 0.640625, depth_loss: 0.07692571729421616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6363/10000 [16:53:23<8:00:51,  7.93s/it]
                                                         
{'loss': 2.7533, 'grad_norm': 5.239148139953613, 'learning_rate': 1.6004793512865382e-05, 'epoch': 0.06}

 64%|██████▎   | 6363/10000 [16:53:23<8:00:51,  7.93s/it]the number of masks: 8
seg_loss: 0.8454784750938416, dino_loss: 0.0, depth_loss: 0.08553236722946167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6936609148979187, dino_loss: 0.625, depth_loss: 0.024614186957478523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6364/10000 [16:53:30<7:48:27,  7.73s/it]
                                                         
{'loss': 1.6926, 'grad_norm': 4.162419319152832, 'learning_rate': 1.5997080350992556e-05, 'epoch': 0.06}

 64%|██████▎   | 6364/10000 [16:53:30<7:48:27,  7.73s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8490657806396484, dino_loss: 0.65234375, depth_loss: 0.06301027536392212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9150787591934204, dino_loss: 0.71875, depth_loss: 0.06361792981624603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6365/10000 [16:53:39<8:12:24,  8.13s/it]
                                                         
{'loss': 2.0764, 'grad_norm': 4.085282325744629, 'learning_rate': 1.598936817366548e-05, 'epoch': 0.06}

 64%|██████▎   | 6365/10000 [16:53:39<8:12:24,  8.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.783735454082489, dino_loss: 0.7421875, depth_loss: 0.09078831970691681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9263614416122437, dino_loss: 0.7109375, depth_loss: 0.068996861577034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6366/10000 [16:53:47<8:12:45,  8.14s/it]
                                                         
{'loss': 2.3949, 'grad_norm': 7.938693523406982, 'learning_rate': 1.598165698172756e-05, 'epoch': 0.06}

 64%|██████▎   | 6366/10000 [16:53:47<8:12:45,  8.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8179701566696167, dino_loss: 0.703125, depth_loss: 0.06568668782711029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7633694410324097, dino_loss: 0.65234375, depth_loss: 0.0768231600522995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6367/10000 [16:53:56<8:24:03,  8.32s/it]
                                                         
{'loss': 2.0929, 'grad_norm': 5.2295660972595215, 'learning_rate': 1.597394677602207e-05, 'epoch': 0.06}

 64%|██████▎   | 6367/10000 [16:53:56<8:24:03,  8.32s/it]the number of masks: 8
seg_loss: 1.2716090679168701, dino_loss: 0.7421875, depth_loss: 0.06315353512763977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7068895101547241, dino_loss: 0.6875, depth_loss: 0.06304921209812164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6368/10000 [16:54:03<8:06:11,  8.03s/it]
                                                         
{'loss': 2.6912, 'grad_norm': 5.317360877990723, 'learning_rate': 1.596623755739219e-05, 'epoch': 0.06}

 64%|██████▎   | 6368/10000 [16:54:03<8:06:11,  8.03s/it]the number of masks: 8
seg_loss: 0.5812627077102661, dino_loss: 0.68359375, depth_loss: 0.07305178791284561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8955039978027344, dino_loss: 0.7109375, depth_loss: 0.07302957028150558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6369/10000 [16:54:10<7:48:57,  7.75s/it]
                                                         
{'loss': 2.2557, 'grad_norm': 2.8657267093658447, 'learning_rate': 1.5958529326680986e-05, 'epoch': 0.06}

 64%|██████▎   | 6369/10000 [16:54:10<7:48:57,  7.75s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7756101489067078, dino_loss: 0.6328125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7282465696334839, dino_loss: 0.72265625, depth_loss: 0.0599849596619606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6370/10000 [16:54:17<7:25:55,  7.37s/it]
                                                         
{'loss': 2.2814, 'grad_norm': 2.67763614654541, 'learning_rate': 1.5950822084731426e-05, 'epoch': 0.06}

 64%|██████▎   | 6370/10000 [16:54:17<7:25:55,  7.37s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9695612788200378, dino_loss: 0.71484375, depth_loss: 0.06252604722976685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8330119848251343, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6371/10000 [16:54:26<7:56:12,  7.87s/it]
                                                         
{'loss': 2.3648, 'grad_norm': 2.8247668743133545, 'learning_rate': 1.594311583238636e-05, 'epoch': 0.06}

 64%|██████▎   | 6371/10000 [16:54:26<7:56:12,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8902040123939514, dino_loss: 0.78515625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.71875, depth_loss: 0.0645313709974289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6372/10000 [16:54:32<7:19:36,  7.27s/it]
                                                         
{'loss': 2.3832, 'grad_norm': 2.043422222137451, 'learning_rate': 1.593541057048853e-05, 'epoch': 0.06}

 64%|██████▎   | 6372/10000 [16:54:32<7:19:36,  7.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8892611265182495, dino_loss: 0.73828125, depth_loss: 0.05163697525858879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6508387327194214, dino_loss: 0.57421875, depth_loss: 0.031926464289426804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6373/10000 [16:54:41<7:57:38,  7.90s/it]
                                                         
{'loss': 2.0064, 'grad_norm': 3.060668468475342, 'learning_rate': 1.592770629988057e-05, 'epoch': 0.06}

 64%|██████▎   | 6373/10000 [16:54:41<7:57:38,  7.90s/it]the number of masks: 8
seg_loss: 1.097592830657959, dino_loss: 0.6875, depth_loss: 0.06576748937368393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9451799392700195, dino_loss: 0.69921875, depth_loss: 0.06289937347173691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▎   | 6374/10000 [16:54:48<7:43:25,  7.67s/it]
                                                         
{'loss': 2.1928, 'grad_norm': 12.605015754699707, 'learning_rate': 1.5920003021404995e-05, 'epoch': 0.06}

 64%|██████▎   | 6374/10000 [16:54:48<7:43:25,  7.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8180748224258423, dino_loss: 0.66796875, depth_loss: 0.07769203931093216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9142938852310181, dino_loss: 0.578125, depth_loss: 0.057730045169591904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6375/10000 [16:54:54<7:15:01,  7.20s/it]
                                                         
{'loss': 2.0084, 'grad_norm': 6.339964866638184, 'learning_rate': 1.591230073590425e-05, 'epoch': 0.06}

 64%|██████▍   | 6375/10000 [16:54:54<7:15:01,  7.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7747926115989685, dino_loss: 0.76171875, depth_loss: 0.06503842771053314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8087562322616577, dino_loss: 0.68359375, depth_loss: 0.049688540399074554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6376/10000 [16:55:03<7:36:19,  7.55s/it]
                                                         
{'loss': 2.2523, 'grad_norm': 2.565493106842041, 'learning_rate': 1.5904599444220636e-05, 'epoch': 0.06}

 64%|██████▍   | 6376/10000 [16:55:03<7:36:19,  7.55s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9585745334625244, dino_loss: 0.6484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0371012687683105, dino_loss: 0.65234375, depth_loss: 0.061773598194122314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6377/10000 [16:55:12<8:17:17,  8.24s/it]
                                                         
{'loss': 2.6277, 'grad_norm': 3.3376078605651855, 'learning_rate': 1.5896899147196353e-05, 'epoch': 0.06}

 64%|██████▍   | 6377/10000 [16:55:12<8:17:17,  8.24s/it]the number of masks: 8
seg_loss: 0.9359635710716248, dino_loss: 0.6796875, depth_loss: 0.05422955006361008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0183634757995605, dino_loss: 0.59375, depth_loss: 0.06614397466182709, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6378/10000 [16:55:19<7:48:06,  7.75s/it]
                                                         
{'loss': 2.5014, 'grad_norm': 5.272970676422119, 'learning_rate': 1.588919984567349e-05, 'epoch': 0.06}

 64%|██████▍   | 6378/10000 [16:55:19<7:48:06,  7.75s/it]the number of masks: 8
seg_loss: 0.3881133198738098, dino_loss: 0.65625, depth_loss: 0.052637506276369095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9139299392700195, dino_loss: 0.6171875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6379/10000 [16:55:25<7:21:13,  7.31s/it]
                                                         
{'loss': 1.4669, 'grad_norm': 7.7177276611328125, 'learning_rate': 1.5881501540494037e-05, 'epoch': 0.06}

 64%|██████▍   | 6379/10000 [16:55:25<7:21:13,  7.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8085302114486694, dino_loss: 0.640625, depth_loss: 0.05100538954138756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7361150979995728, dino_loss: 0.6640625, depth_loss: 0.07289346307516098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6380/10000 [16:55:35<7:56:43,  7.90s/it]
                                                         
{'loss': 2.275, 'grad_norm': 7.856208324432373, 'learning_rate': 1.5873804232499863e-05, 'epoch': 0.06}

 64%|██████▍   | 6380/10000 [16:55:35<7:56:43,  7.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7420626878738403, dino_loss: 0.65625, depth_loss: 0.06178377568721771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8200563192367554, dino_loss: 0.71484375, depth_loss: 0.0592147633433342, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6381/10000 [16:55:43<8:12:23,  8.16s/it]
                                                         
{'loss': 2.421, 'grad_norm': 9.138211250305176, 'learning_rate': 1.586610792253273e-05, 'epoch': 0.06}

 64%|██████▍   | 6381/10000 [16:55:43<8:12:23,  8.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7461190223693848, dino_loss: 0.70703125, depth_loss: 0.09157823026180267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8818949460983276, dino_loss: 0.6796875, depth_loss: 0.0663982406258583, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6382/10000 [16:55:52<8:22:58,  8.34s/it]
                                                         
{'loss': 1.9402, 'grad_norm': 3.472724437713623, 'learning_rate': 1.5858412611434307e-05, 'epoch': 0.06}

 64%|██████▍   | 6382/10000 [16:55:52<8:22:58,  8.34s/it]seg_loss: 0.0, dino_loss: 0.71484375, depth_loss: 0.053818147629499435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9119889140129089, dino_loss: 0.625, depth_loss: 0.06736242771148682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6383/10000 [16:56:00<8:04:38,  8.04s/it]
                                                         
{'loss': 1.8047, 'grad_norm': 4.891364097595215, 'learning_rate': 1.585071830004614e-05, 'epoch': 0.06}

 64%|██████▍   | 6383/10000 [16:56:00<8:04:38,  8.04s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9808412194252014, dino_loss: 0.0, depth_loss: 0.07979699969291687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7610000967979431, dino_loss: 0.734375, depth_loss: 0.06516578793525696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6384/10000 [16:56:07<7:48:20,  7.77s/it]
                                                         
{'loss': 2.5881, 'grad_norm': 4.313510417938232, 'learning_rate': 1.5843024989209667e-05, 'epoch': 0.06}

 64%|██████▍   | 6384/10000 [16:56:07<7:48:20,  7.77s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8591848611831665, dino_loss: 0.70703125, depth_loss: 0.06661596894264221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0232737064361572, dino_loss: 0.70703125, depth_loss: 0.06167878955602646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6385/10000 [16:56:14<7:46:01,  7.73s/it]
                                                         
{'loss': 2.4628, 'grad_norm': 6.629606246948242, 'learning_rate': 1.583533267976621e-05, 'epoch': 0.06}

 64%|██████▍   | 6385/10000 [16:56:14<7:46:01,  7.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8581018447875977, dino_loss: 0.703125, depth_loss: 0.05269830673933029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9489630460739136, dino_loss: 0.70703125, depth_loss: 0.07544507086277008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6386/10000 [16:56:22<7:53:55,  7.87s/it]
                                                         
{'loss': 2.1893, 'grad_norm': 6.848801136016846, 'learning_rate': 1.5827641372556986e-05, 'epoch': 0.06}

 64%|██████▍   | 6386/10000 [16:56:22<7:53:55,  7.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9443947672843933, dino_loss: 0.67578125, depth_loss: 0.0667736828327179, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5970414280891418, dino_loss: 0.59375, depth_loss: 0.04872089624404907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6387/10000 [16:56:31<8:01:52,  8.00s/it]
                                                         
{'loss': 2.1583, 'grad_norm': 2.43061900138855, 'learning_rate': 1.5819951068423115e-05, 'epoch': 0.06}

 64%|██████▍   | 6387/10000 [16:56:31<8:01:52,  8.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6833018660545349, dino_loss: 0.66015625, depth_loss: 0.05861327052116394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8007863759994507, dino_loss: 0.671875, depth_loss: 0.09677087515592575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6388/10000 [16:56:40<8:20:01,  8.31s/it]
                                                         
{'loss': 1.9062, 'grad_norm': 3.8574960231781006, 'learning_rate': 1.5812261768205596e-05, 'epoch': 0.06}

 64%|██████▍   | 6388/10000 [16:56:40<8:20:01,  8.31s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9899083375930786, dino_loss: 0.80078125, depth_loss: 0.07941733300685883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8437533378601074, dino_loss: 0.56640625, depth_loss: 0.06995931267738342, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6389/10000 [16:56:48<8:23:27,  8.37s/it]
                                                         
{'loss': 2.4623, 'grad_norm': 1.9891998767852783, 'learning_rate': 1.5804573472745314e-05, 'epoch': 0.06}

 64%|██████▍   | 6389/10000 [16:56:48<8:23:27,  8.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7763981223106384, dino_loss: 0.60546875, depth_loss: 0.025566494092345238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8781242966651917, dino_loss: 0.71875, depth_loss: 0.06545203924179077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6390/10000 [16:56:56<8:15:05,  8.23s/it]
                                                         
{'loss': 1.7693, 'grad_norm': 4.046595096588135, 'learning_rate': 1.5796886182883053e-05, 'epoch': 0.06}

 64%|██████▍   | 6390/10000 [16:56:56<8:15:05,  8.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7674703001976013, dino_loss: 0.609375, depth_loss: 0.057133909314870834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1053967475891113, dino_loss: 0.69140625, depth_loss: 0.07269485294818878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6391/10000 [16:57:04<8:14:55,  8.23s/it]
                                                         
{'loss': 1.915, 'grad_norm': 4.468495845794678, 'learning_rate': 1.5789199899459484e-05, 'epoch': 0.06}

 64%|██████▍   | 6391/10000 [16:57:04<8:14:55,  8.23s/it]seg_loss: 0.0, dino_loss: 0.625, depth_loss: 0.0610690601170063, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9050309062004089, dino_loss: 0.71484375, depth_loss: 0.08857282996177673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6392/10000 [16:57:11<7:48:33,  7.79s/it]
                                                         
{'loss': 2.4502, 'grad_norm': 3.4017486572265625, 'learning_rate': 1.5781514623315164e-05, 'epoch': 0.06}

 64%|██████▍   | 6392/10000 [16:57:11<7:48:33,  7.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8154069781303406, dino_loss: 0.65234375, depth_loss: 0.0730166882276535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6524518728256226, dino_loss: 0.71484375, depth_loss: 0.05711856484413147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6393/10000 [16:57:21<8:25:29,  8.41s/it]
                                                         
{'loss': 1.7312, 'grad_norm': 6.849021911621094, 'learning_rate': 1.577383035529054e-05, 'epoch': 0.06}

 64%|██████▍   | 6393/10000 [16:57:21<8:25:29,  8.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6000016331672668, dino_loss: 0.68359375, depth_loss: 0.05023688077926636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.069434642791748, dino_loss: 0.67578125, depth_loss: 0.04752381145954132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6394/10000 [16:57:28<8:00:37,  8.00s/it]
                                                         
{'loss': 1.9691, 'grad_norm': 4.770627975463867, 'learning_rate': 1.576614709622596e-05, 'epoch': 0.06}

 64%|██████▍   | 6394/10000 [16:57:28<8:00:37,  8.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0176745653152466, dino_loss: 0.73828125, depth_loss: 0.0943240076303482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9307096600532532, dino_loss: 0.6796875, depth_loss: 0.06787872314453125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6395/10000 [16:57:36<8:03:41,  8.05s/it]
                                                         
{'loss': 2.2514, 'grad_norm': 5.1666035652160645, 'learning_rate': 1.5758464846961657e-05, 'epoch': 0.06}

 64%|██████▍   | 6395/10000 [16:57:36<8:03:41,  8.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8463801145553589, dino_loss: 0.69140625, depth_loss: 0.05178022012114525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8049992918968201, dino_loss: 0.62890625, depth_loss: 0.06680776178836823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6396/10000 [16:57:47<8:47:35,  8.78s/it]
                                                         
{'loss': 1.9008, 'grad_norm': 3.0952959060668945, 'learning_rate': 1.5750783608337736e-05, 'epoch': 0.06}

 64%|██████▍   | 6396/10000 [16:57:47<8:47:35,  8.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9589565396308899, dino_loss: 0.7734375, depth_loss: 0.07004940509796143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.907507598400116, dino_loss: 0.6953125, depth_loss: 0.054875679314136505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6397/10000 [16:57:55<8:45:11,  8.75s/it]
                                                         
{'loss': 2.5434, 'grad_norm': 6.497433662414551, 'learning_rate': 1.5743103381194225e-05, 'epoch': 0.06}

 64%|██████▍   | 6397/10000 [16:57:55<8:45:11,  8.75s/it]seg_loss: 0.0, dino_loss: 0.60546875, depth_loss: 0.07763638347387314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9558883905410767, dino_loss: 0.63671875, depth_loss: 0.06325485557317734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6398/10000 [16:58:00<7:21:53,  7.36s/it]
                                                         
{'loss': 1.312, 'grad_norm': 2.989345073699951, 'learning_rate': 1.5735424166371e-05, 'epoch': 0.06}

 64%|██████▍   | 6398/10000 [16:58:00<7:21:53,  7.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.001233458518982, dino_loss: 0.67578125, depth_loss: 0.05256440490484238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7934514284133911, dino_loss: 0.71484375, depth_loss: 0.07605138421058655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6399/10000 [16:58:08<7:32:07,  7.53s/it]
                                                         
{'loss': 2.1703, 'grad_norm': 2.3666608333587646, 'learning_rate': 1.5727745964707865e-05, 'epoch': 0.06}

 64%|██████▍   | 6399/10000 [16:58:08<7:32:07,  7.53s/it]the number of masks: 8
seg_loss: 0.9079669117927551, dino_loss: 0.65625, depth_loss: 0.07850568741559982, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5682528614997864, dino_loss: 0.69921875, depth_loss: 0.04312819987535477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6400/10000 [16:58:14<7:07:29,  7.12s/it]
                                                         
{'loss': 1.9313, 'grad_norm': 3.789856433868408, 'learning_rate': 1.5720068777044476e-05, 'epoch': 0.06}

 64%|██████▍   | 6400/10000 [16:58:14<7:07:29,  7.12s/it]the number of masks: 8
seg_loss: 0.8463393449783325, dino_loss: 0.640625, depth_loss: 0.04344017058610916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
seg_loss: 0.8075023889541626, dino_loss: 0.69921875, depth_loss: 0.04404383897781372, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6401/10000 [16:58:21<7:06:37,  7.11s/it]
                                                         
{'loss': 2.2163, 'grad_norm': 4.973116874694824, 'learning_rate': 1.571239260422043e-05, 'epoch': 0.06}

 64%|██████▍   | 6401/10000 [16:58:21<7:06:37,  7.11s/it]the number of masks: 8
seg_loss: 0.6070157289505005, dino_loss: 0.578125, depth_loss: 0.04663100466132164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6344552636146545, dino_loss: 0.6953125, depth_loss: 0.05853348597884178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6402/10000 [16:58:27<6:54:48,  6.92s/it]
                                                         
{'loss': 1.7364, 'grad_norm': 10.256473541259766, 'learning_rate': 1.5704717447075162e-05, 'epoch': 0.06}

 64%|██████▍   | 6402/10000 [16:58:27<6:54:48,  6.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8778159618377686, dino_loss: 0.6953125, depth_loss: 0.09228301793336868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7326329946517944, dino_loss: 0.71875, depth_loss: 0.08332262933254242, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6403/10000 [16:58:36<7:25:21,  7.43s/it]
                                                         
{'loss': 2.2472, 'grad_norm': 5.157270431518555, 'learning_rate': 1.5697043306448016e-05, 'epoch': 0.06}

 64%|██████▍   | 6403/10000 [16:58:36<7:25:21,  7.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9432981014251709, dino_loss: 0.73828125, depth_loss: 0.046990782022476196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8331187963485718, dino_loss: 0.74609375, depth_loss: 0.06969304382801056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6404/10000 [16:58:44<7:31:19,  7.53s/it]
                                                         
{'loss': 2.4677, 'grad_norm': 3.551457405090332, 'learning_rate': 1.568937018317823e-05, 'epoch': 0.06}

 64%|██████▍   | 6404/10000 [16:58:44<7:31:19,  7.53s/it]the number of masks: 8
seg_loss: 0.8765016794204712, dino_loss: 0.62890625, depth_loss: 0.051301613450050354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7350675463676453, dino_loss: 0.66015625, depth_loss: 0.06201830878853798, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6405/10000 [16:58:49<6:55:33,  6.94s/it]
                                                         
{'loss': 2.059, 'grad_norm': 8.290508270263672, 'learning_rate': 1.5681698078104926e-05, 'epoch': 0.06}

 64%|██████▍   | 6405/10000 [16:58:49<6:55:33,  6.94s/it]the number of masks: 8
the number of masks: 3
seg_loss: 0.554409384727478, dino_loss: 0.63671875, depth_loss: 0.06180252879858017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0260127782821655, dino_loss: 0.56640625, depth_loss: 0.03352661058306694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6406/10000 [16:58:56<6:46:16,  6.78s/it]
                                                         
{'loss': 2.1742, 'grad_norm': 1.8788982629776, 'learning_rate': 1.5674026992067096e-05, 'epoch': 0.06}

 64%|██████▍   | 6406/10000 [16:58:56<6:46:16,  6.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9474276900291443, dino_loss: 0.71484375, depth_loss: 0.07456828653812408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8788906335830688, dino_loss: 0.671875, depth_loss: 0.05367868021130562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6407/10000 [16:59:02<6:48:10,  6.82s/it]
                                                         
{'loss': 2.3304, 'grad_norm': 4.804436206817627, 'learning_rate': 1.5666356925903664e-05, 'epoch': 0.06}

 64%|██████▍   | 6407/10000 [16:59:02<6:48:10,  6.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.126943826675415, dino_loss: 0.72265625, depth_loss: 0.04431357979774475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6755565404891968, dino_loss: 0.6484375, depth_loss: 0.06636001914739609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6408/10000 [16:59:11<7:24:05,  7.42s/it]
                                                         
{'loss': 2.2458, 'grad_norm': 5.524438381195068, 'learning_rate': 1.5658687880453405e-05, 'epoch': 0.06}

 64%|██████▍   | 6408/10000 [16:59:11<7:24:05,  7.42s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9028104543685913, dino_loss: 0.68359375, depth_loss: 0.07035170495510101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.05206877738237381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6409/10000 [16:59:17<6:51:12,  6.87s/it]
                                                         
{'loss': 1.7562, 'grad_norm': 2.8066065311431885, 'learning_rate': 1.5651019856554995e-05, 'epoch': 0.06}

 64%|██████▍   | 6409/10000 [16:59:17<6:51:12,  6.87s/it]the number of masks: 8
seg_loss: 0.8316717743873596, dino_loss: 0.70703125, depth_loss: 0.08131726831197739, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.794897198677063, dino_loss: 0.65234375, depth_loss: 0.05555914342403412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6410/10000 [16:59:22<6:22:27,  6.39s/it]
                                                         
{'loss': 2.2647, 'grad_norm': 5.64912223815918, 'learning_rate': 1.5643352855046996e-05, 'epoch': 0.06}

 64%|██████▍   | 6410/10000 [16:59:22<6:22:27,  6.39s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7672845125198364, dino_loss: 0.703125, depth_loss: 0.0661628395318985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9326679706573486, dino_loss: 0.0, depth_loss: 0.0660628154873848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6411/10000 [16:59:29<6:28:57,  6.50s/it]
                                                         
{'loss': 2.2152, 'grad_norm': 9.270191192626953, 'learning_rate': 1.5635686876767858e-05, 'epoch': 0.06}

 64%|██████▍   | 6411/10000 [16:59:29<6:28:57,  6.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9452141523361206, dino_loss: 0.73046875, depth_loss: 0.04976503551006317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9442842602729797, dino_loss: 0.6640625, depth_loss: 0.06454090029001236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6412/10000 [16:59:35<6:27:48,  6.49s/it]
                                                         
{'loss': 2.0796, 'grad_norm': 6.438769817352295, 'learning_rate': 1.562802192255593e-05, 'epoch': 0.06}

 64%|██████▍   | 6412/10000 [16:59:35<6:27:48,  6.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7535845041275024, dino_loss: 0.0, depth_loss: 0.052143897861242294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.85595703125, dino_loss: 0.7265625, depth_loss: 0.07616939395666122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6413/10000 [16:59:43<6:46:02,  6.79s/it]
                                                         
{'loss': 2.1474, 'grad_norm': 6.587494373321533, 'learning_rate': 1.5620357993249427e-05, 'epoch': 0.06}

 64%|██████▍   | 6413/10000 [16:59:43<6:46:02,  6.79s/it]seg_loss: 0.0, dino_loss: 0.69921875, depth_loss: 0.05638882517814636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8574142456054688, dino_loss: 0.72265625, depth_loss: 0.06599528342485428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6414/10000 [16:59:48<6:14:29,  6.27s/it]
                                                         
{'loss': 2.0161, 'grad_norm': 4.796075820922852, 'learning_rate': 1.5612695089686478e-05, 'epoch': 0.06}

 64%|██████▍   | 6414/10000 [16:59:48<6:14:29,  6.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7499836087226868, dino_loss: 0.67578125, depth_loss: 0.07306741178035736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9421652555465698, dino_loss: 0.69921875, depth_loss: 0.0642218068242073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6415/10000 [16:59:56<6:51:53,  6.89s/it]
                                                         
{'loss': 2.287, 'grad_norm': 4.402448654174805, 'learning_rate': 1.560503321270507e-05, 'epoch': 0.06}

 64%|██████▍   | 6415/10000 [16:59:56<6:51:53,  6.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7172002792358398, dino_loss: 0.68359375, depth_loss: 0.10164640843868256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9387041330337524, dino_loss: 0.69921875, depth_loss: 0.0583774596452713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6416/10000 [17:00:03<6:54:19,  6.94s/it]
                                                         
{'loss': 1.976, 'grad_norm': 5.52233362197876, 'learning_rate': 1.559737236314312e-05, 'epoch': 0.06}

 64%|██████▍   | 6416/10000 [17:00:03<6:54:19,  6.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8684438467025757, dino_loss: 0.69921875, depth_loss: 0.06945514678955078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
seg_loss: 1.0479263067245483, dino_loss: 0.640625, depth_loss: 0.05345034599304199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6417/10000 [17:00:12<7:22:47,  7.41s/it]
                                                         
{'loss': 2.5715, 'grad_norm': 6.2157769203186035, 'learning_rate': 1.5589712541838384e-05, 'epoch': 0.06}

 64%|██████▍   | 6417/10000 [17:00:12<7:22:47,  7.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7249987125396729, dino_loss: 0.0, depth_loss: 0.04382384195923805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0023483037948608, dino_loss: 0.70703125, depth_loss: 0.04567684978246689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6418/10000 [17:00:19<7:21:28,  7.39s/it]
                                                         
{'loss': 2.1105, 'grad_norm': 4.753781318664551, 'learning_rate': 1.558205374962854e-05, 'epoch': 0.06}

 64%|██████▍   | 6418/10000 [17:00:19<7:21:28,  7.39s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8430449962615967, dino_loss: 0.6484375, depth_loss: 0.05897565186023712, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8960444927215576, dino_loss: 0.66796875, depth_loss: 0.06958964467048645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6419/10000 [17:00:27<7:27:23,  7.50s/it]
                                                         
{'loss': 2.4807, 'grad_norm': 3.1772708892822266, 'learning_rate': 1.5574395987351125e-05, 'epoch': 0.06}

 64%|██████▍   | 6419/10000 [17:00:27<7:27:23,  7.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8845435976982117, dino_loss: 0.765625, depth_loss: 0.0684993788599968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7048981189727783, dino_loss: 0.703125, depth_loss: 0.052723512053489685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6420/10000 [17:00:36<7:58:25,  8.02s/it]
                                                         
{'loss': 1.8713, 'grad_norm': 5.656604766845703, 'learning_rate': 1.5566739255843606e-05, 'epoch': 0.06}

 64%|██████▍   | 6420/10000 [17:00:36<7:58:25,  8.02s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7468058466911316, dino_loss: 0.6640625, depth_loss: 0.0890798270702362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9828353524208069, dino_loss: 0.7421875, depth_loss: 0.05780390277504921, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6421/10000 [17:00:43<7:42:00,  7.75s/it]
                                                         
{'loss': 2.3128, 'grad_norm': 4.10855770111084, 'learning_rate': 1.55590835559433e-05, 'epoch': 0.06}

 64%|██████▍   | 6421/10000 [17:00:43<7:42:00,  7.75s/it]the number of masks: 8
seg_loss: 1.0535155534744263, dino_loss: 0.6796875, depth_loss: 0.05682535469532013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.987147331237793, dino_loss: 0.7265625, depth_loss: 0.04449498653411865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6422/10000 [17:00:50<7:18:18,  7.35s/it]
                                                         
{'loss': 2.078, 'grad_norm': 3.2940642833709717, 'learning_rate': 1.5551428888487422e-05, 'epoch': 0.06}

 64%|██████▍   | 6422/10000 [17:00:50<7:18:18,  7.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7182509303092957, dino_loss: 0.0, depth_loss: 0.058881182223558426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.899431586265564, dino_loss: 0.7265625, depth_loss: 0.06918611377477646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6423/10000 [17:00:58<7:35:41,  7.64s/it]
                                                         
{'loss': 1.7538, 'grad_norm': 4.229283332824707, 'learning_rate': 1.5543775254313074e-05, 'epoch': 0.06}

 64%|██████▍   | 6423/10000 [17:00:58<7:35:41,  7.64s/it]seg_loss: 0.0, dino_loss: 0.65234375, depth_loss: 0.06346159428358078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9074212312698364, dino_loss: 0.7578125, depth_loss: 0.07434023916721344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6424/10000 [17:01:04<7:06:59,  7.16s/it]
                                                         
{'loss': 1.6592, 'grad_norm': 3.8789594173431396, 'learning_rate': 1.5536122654257246e-05, 'epoch': 0.06}

 64%|██████▍   | 6424/10000 [17:01:04<7:06:59,  7.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8216876983642578, dino_loss: 0.68359375, depth_loss: 0.058537792414426804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.671875, depth_loss: 0.05403643101453781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6425/10000 [17:01:10<6:41:05,  6.73s/it]
                                                         
{'loss': 1.5536, 'grad_norm': 2.969128131866455, 'learning_rate': 1.5528471089156804e-05, 'epoch': 0.06}

 64%|██████▍   | 6425/10000 [17:01:10<6:41:05,  6.73s/it]the number of masks: 8
seg_loss: 0.8299553394317627, dino_loss: 0.640625, depth_loss: 0.06050488352775574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7799581289291382, dino_loss: 0.66015625, depth_loss: 0.05883253738284111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6426/10000 [17:01:18<6:59:36,  7.04s/it]
                                                         
{'loss': 2.6857, 'grad_norm': 4.253090858459473, 'learning_rate': 1.5520820559848538e-05, 'epoch': 0.06}

 64%|██████▍   | 6426/10000 [17:01:18<6:59:36,  7.04s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0380425453186035, dino_loss: 0.75390625, depth_loss: 0.03789583221077919, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8937911987304688, dino_loss: 0.5859375, depth_loss: 0.023605842143297195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6427/10000 [17:01:24<6:54:10,  6.96s/it]
                                                         
{'loss': 2.5131, 'grad_norm': 6.3369340896606445, 'learning_rate': 1.5513171067169082e-05, 'epoch': 0.06}

 64%|██████▍   | 6427/10000 [17:01:24<6:54:10,  6.96s/it]the number of masks: 8
seg_loss: 0.836693525314331, dino_loss: 0.73828125, depth_loss: 0.06843163073062897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8609372973442078, dino_loss: 0.65625, depth_loss: 0.041262395679950714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6428/10000 [17:01:32<7:07:58,  7.19s/it]
                                                         
{'loss': 2.714, 'grad_norm': 5.186905860900879, 'learning_rate': 1.5505522611954975e-05, 'epoch': 0.06}

 64%|██████▍   | 6428/10000 [17:01:32<7:07:58,  7.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7557682394981384, dino_loss: 0.609375, depth_loss: 0.03799308091402054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7688065767288208, dino_loss: 0.59375, depth_loss: 0.09551192075014114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6429/10000 [17:01:42<7:53:46,  7.96s/it]
                                                         
{'loss': 1.9809, 'grad_norm': 4.856904029846191, 'learning_rate': 1.5497875195042642e-05, 'epoch': 0.06}

 64%|██████▍   | 6429/10000 [17:01:42<7:53:46,  7.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0271059274673462, dino_loss: 0.67578125, depth_loss: 0.05084988474845886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7419925928115845, dino_loss: 0.73828125, depth_loss: 0.05959947407245636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6430/10000 [17:01:51<8:11:15,  8.26s/it]
                                                         
{'loss': 2.7687, 'grad_norm': 7.233469009399414, 'learning_rate': 1.549022881726839e-05, 'epoch': 0.06}

 64%|██████▍   | 6430/10000 [17:01:51<8:11:15,  8.26s/it]the number of masks: 8
seg_loss: 0.6021559834480286, dino_loss: 0.50390625, depth_loss: 0.02633681148290634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7552513480186462, dino_loss: 0.6796875, depth_loss: 0.050294358283281326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6431/10000 [17:01:56<7:18:21,  7.37s/it]
                                                         
{'loss': 2.1031, 'grad_norm': 4.132078170776367, 'learning_rate': 1.5482583479468414e-05, 'epoch': 0.06}

 64%|██████▍   | 6431/10000 [17:01:56<7:18:21,  7.37s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.998638391494751, dino_loss: 0.68359375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8782037496566772, dino_loss: 0.671875, depth_loss: 0.06022888422012329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6432/10000 [17:02:02<6:49:07,  6.88s/it]
                                                         
{'loss': 2.4012, 'grad_norm': 2.7610394954681396, 'learning_rate': 1.547493918247879e-05, 'epoch': 0.06}

 64%|██████▍   | 6432/10000 [17:02:02<6:49:07,  6.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.828866183757782, dino_loss: 0.74609375, depth_loss: 0.04682523012161255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9676727652549744, dino_loss: 0.69140625, depth_loss: 0.06575769186019897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6433/10000 [17:02:12<7:47:33,  7.86s/it]
                                                         
{'loss': 2.005, 'grad_norm': 4.067428112030029, 'learning_rate': 1.546729592713551e-05, 'epoch': 0.06}

 64%|██████▍   | 6433/10000 [17:02:12<7:47:33,  7.86s/it]the number of masks: 8
seg_loss: 1.7178305387496948, dino_loss: 0.671875, depth_loss: 0.04835423827171326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6929714679718018, dino_loss: 0.73828125, depth_loss: 0.050299305468797684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6434/10000 [17:02:19<7:36:38,  7.68s/it]
                                                         
{'loss': 2.7853, 'grad_norm': 9.365584373474121, 'learning_rate': 1.5459653714274412e-05, 'epoch': 0.06}

 64%|██████▍   | 6434/10000 [17:02:19<7:36:38,  7.68s/it]the number of masks: 8
seg_loss: 1.051560878753662, dino_loss: 0.0, depth_loss: 0.07054124772548676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9544504880905151, dino_loss: 0.6171875, depth_loss: 0.08218380808830261, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6435/10000 [17:02:26<7:15:58,  7.34s/it]
                                                         
{'loss': 2.0064, 'grad_norm': 5.561624526977539, 'learning_rate': 1.5452012544731245e-05, 'epoch': 0.06}

 64%|██████▍   | 6435/10000 [17:02:26<7:15:58,  7.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7519068121910095, dino_loss: 0.7265625, depth_loss: 0.0507388561964035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.287862777709961, dino_loss: 0.6953125, depth_loss: 0.051298391073942184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6436/10000 [17:02:34<7:28:17,  7.55s/it]
                                                         
{'loss': 2.6405, 'grad_norm': 11.158077239990234, 'learning_rate': 1.5444372419341625e-05, 'epoch': 0.06}

 64%|██████▍   | 6436/10000 [17:02:34<7:28:17,  7.55s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8595871925354004, dino_loss: 0.55859375, depth_loss: 0.030851662158966064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9548152685165405, dino_loss: 0.66796875, depth_loss: 0.03964873403310776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6437/10000 [17:02:42<7:35:16,  7.67s/it]
                                                         
{'loss': 2.7198, 'grad_norm': 5.8557353019714355, 'learning_rate': 1.5436733338941072e-05, 'epoch': 0.06}

 64%|██████▍   | 6437/10000 [17:02:42<7:35:16,  7.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8042031526565552, dino_loss: 0.640625, depth_loss: 0.07906688749790192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7676918506622314, dino_loss: 0.6484375, depth_loss: 0.04973214119672775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6438/10000 [17:02:51<8:04:27,  8.16s/it]
                                                         
{'loss': 2.3391, 'grad_norm': 9.194714546203613, 'learning_rate': 1.5429095304364976e-05, 'epoch': 0.06}

 64%|██████▍   | 6438/10000 [17:02:51<8:04:27,  8.16s/it]the number of masks: 8
seg_loss: 0.6774463057518005, dino_loss: 0.0, depth_loss: 0.04604826867580414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7937283515930176, dino_loss: 0.703125, depth_loss: 0.0690416693687439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6439/10000 [17:02:58<7:36:37,  7.69s/it]
                                                         
{'loss': 1.8791, 'grad_norm': 9.810328483581543, 'learning_rate': 1.542145831644864e-05, 'epoch': 0.06}

 64%|██████▍   | 6439/10000 [17:02:58<7:36:37,  7.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7945098280906677, dino_loss: 0.66015625, depth_loss: 0.06395414471626282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8595062494277954, dino_loss: 0.640625, depth_loss: 0.03302627429366112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6440/10000 [17:03:07<8:08:29,  8.23s/it]
                                                         
{'loss': 2.2691, 'grad_norm': 7.351736545562744, 'learning_rate': 1.541382237602721e-05, 'epoch': 0.06}

 64%|██████▍   | 6440/10000 [17:03:07<8:08:29,  8.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7409524321556091, dino_loss: 0.703125, depth_loss: 0.04680446907877922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0565606355667114, dino_loss: 0.796875, depth_loss: 0.07316672056913376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6441/10000 [17:03:14<7:50:20,  7.93s/it]
                                                         
{'loss': 1.7747, 'grad_norm': 5.251253604888916, 'learning_rate': 1.5406187483935757e-05, 'epoch': 0.06}

 64%|██████▍   | 6441/10000 [17:03:14<7:50:20,  7.93s/it]the number of masks: 8
seg_loss: 0.8342851996421814, dino_loss: 0.68359375, depth_loss: 0.053678177297115326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1091952323913574, dino_loss: 0.62890625, depth_loss: 0.03186330571770668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6442/10000 [17:03:20<7:04:14,  7.15s/it]
                                                         
{'loss': 2.2283, 'grad_norm': 12.92046070098877, 'learning_rate': 1.5398553641009222e-05, 'epoch': 0.06}

 64%|██████▍   | 6442/10000 [17:03:20<7:04:14,  7.15s/it]the number of masks: 8
seg_loss: 0.9821138381958008, dino_loss: 0.7265625, depth_loss: 0.06053043156862259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8329683542251587, dino_loss: 0.7109375, depth_loss: 0.054319292306900024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6443/10000 [17:03:26<6:57:17,  7.04s/it]
                                                         
{'loss': 2.7698, 'grad_norm': 6.074610710144043, 'learning_rate': 1.5390920848082424e-05, 'epoch': 0.06}

 64%|██████▍   | 6443/10000 [17:03:26<6:57:17,  7.04s/it]seg_loss: 0.0, dino_loss: 0.66796875, depth_loss: 0.0630338117480278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8498420715332031, dino_loss: 0.7109375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6444/10000 [17:03:32<6:23:08,  6.46s/it]
                                                         
{'loss': 2.151, 'grad_norm': 3.8284146785736084, 'learning_rate': 1.538328910599006e-05, 'epoch': 0.06}

 64%|██████▍   | 6444/10000 [17:03:32<6:23:08,  6.46s/it]seg_loss: 0.0, dino_loss: 0.59375, depth_loss: 0.032605722546577454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9536682367324829, dino_loss: 0.59765625, depth_loss: 0.041839249432086945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6445/10000 [17:03:38<6:18:10,  6.38s/it]
                                                         
{'loss': 1.4881, 'grad_norm': 4.638676166534424, 'learning_rate': 1.537565841556676e-05, 'epoch': 0.06}

 64%|██████▍   | 6445/10000 [17:03:38<6:18:10,  6.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8881393671035767, dino_loss: 0.58203125, depth_loss: 0.050522517412900925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8925847411155701, dino_loss: 0.66015625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6446/10000 [17:03:44<6:14:46,  6.33s/it]
                                                         
{'loss': 2.3986, 'grad_norm': 5.135349750518799, 'learning_rate': 1.5368028777646975e-05, 'epoch': 0.06}

 64%|██████▍   | 6446/10000 [17:03:44<6:14:46,  6.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.693799614906311, dino_loss: 0.66015625, depth_loss: 0.040777090936899185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7035083770751953, dino_loss: 0.578125, depth_loss: 0.06652163714170456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6447/10000 [17:03:52<6:51:03,  6.94s/it]
                                                         
{'loss': 1.7204, 'grad_norm': 2.653184175491333, 'learning_rate': 1.536040019306509e-05, 'epoch': 0.06}

 64%|██████▍   | 6447/10000 [17:03:52<6:51:03,  6.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8914458155632019, dino_loss: 0.66015625, depth_loss: 0.03141643851995468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8515598773956299, dino_loss: 0.0, depth_loss: 0.0574282705783844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6448/10000 [17:04:00<6:55:12,  7.01s/it]
                                                         
{'loss': 2.1873, 'grad_norm': 5.294336795806885, 'learning_rate': 1.5352772662655342e-05, 'epoch': 0.06}

 64%|██████▍   | 6448/10000 [17:04:00<6:55:12,  7.01s/it]the number of masks: 8
seg_loss: 0.6822266578674316, dino_loss: 0.671875, depth_loss: 0.05346115678548813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7286275625228882, dino_loss: 0.7265625, depth_loss: 0.05620116367936134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6449/10000 [17:04:08<7:22:04,  7.47s/it]
                                                         
{'loss': 2.038, 'grad_norm': 2.488544464111328, 'learning_rate': 1.5345146187251875e-05, 'epoch': 0.06}

 64%|██████▍   | 6449/10000 [17:04:08<7:22:04,  7.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0465503931045532, dino_loss: 0.73828125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9616971015930176, dino_loss: 0.7109375, depth_loss: 0.057800259441137314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 64%|██████▍   | 6450/10000 [17:04:16<7:24:40,  7.52s/it]
                                                         
{'loss': 1.8435, 'grad_norm': 3.485295295715332, 'learning_rate': 1.5337520767688703e-05, 'epoch': 0.06}

 64%|██████▍   | 6450/10000 [17:04:16<7:24:40,  7.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7310818433761597, dino_loss: 0.63671875, depth_loss: 0.05748818442225456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7377029657363892, dino_loss: 0.69140625, depth_loss: 0.07177277654409409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6451/10000 [17:04:26<8:09:48,  8.28s/it]
                                                         
{'loss': 2.2959, 'grad_norm': 3.4115805625915527, 'learning_rate': 1.532989640479972e-05, 'epoch': 0.06}

 65%|██████▍   | 6451/10000 [17:04:26<8:09:48,  8.28s/it]the number of masks: 8
seg_loss: 0.7835888862609863, dino_loss: 0.6484375, depth_loss: 0.07640458643436432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7414090633392334, dino_loss: 0.734375, depth_loss: 0.06025077402591705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6452/10000 [17:04:34<8:01:49,  8.15s/it]
                                                         
{'loss': 2.3693, 'grad_norm': 2.849639892578125, 'learning_rate': 1.5322273099418737e-05, 'epoch': 0.06}

 65%|██████▍   | 6452/10000 [17:04:34<8:01:49,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9318646788597107, dino_loss: 0.6484375, depth_loss: 0.046101268380880356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8188009858131409, dino_loss: 0.65625, depth_loss: 0.06619293242692947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6453/10000 [17:04:45<8:51:45,  9.00s/it]
                                                         
{'loss': 2.8617, 'grad_norm': 2.238187313079834, 'learning_rate': 1.5314650852379423e-05, 'epoch': 0.06}

 65%|██████▍   | 6453/10000 [17:04:45<8:51:45,  9.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.891471266746521, dino_loss: 0.7421875, depth_loss: 0.07136770337820053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.009403944015503, dino_loss: 0.640625, depth_loss: 0.06670476496219635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6454/10000 [17:04:51<8:02:25,  8.16s/it]
                                                         
{'loss': 2.1618, 'grad_norm': 17.722190856933594, 'learning_rate': 1.5307029664515328e-05, 'epoch': 0.06}

 65%|██████▍   | 6454/10000 [17:04:51<8:02:25,  8.16s/it]the number of masks: 8
seg_loss: 0.8412948846817017, dino_loss: 0.68359375, depth_loss: 0.061310745775699615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9070236086845398, dino_loss: 0.7109375, depth_loss: 0.06157063692808151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6455/10000 [17:04:58<7:44:24,  7.86s/it]
                                                         
{'loss': 2.2212, 'grad_norm': 5.786515235900879, 'learning_rate': 1.5299409536659895e-05, 'epoch': 0.06}

 65%|██████▍   | 6455/10000 [17:04:58<7:44:24,  7.86s/it]the number of masks: 8
seg_loss: 0.7680008411407471, dino_loss: 0.6328125, depth_loss: 0.04875221103429794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.8938390612602234, dino_loss: 0.73046875, depth_loss: 0.08448362350463867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6456/10000 [17:05:05<7:35:14,  7.71s/it]
                                                         
{'loss': 2.2671, 'grad_norm': 3.477175712585449, 'learning_rate': 1.529179046964645e-05, 'epoch': 0.06}

 65%|██████▍   | 6456/10000 [17:05:05<7:35:14,  7.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6147996783256531, dino_loss: 0.765625, depth_loss: 0.05719105899333954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0056867599487305, dino_loss: 0.73046875, depth_loss: 0.06607524305582047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6457/10000 [17:05:13<7:29:56,  7.62s/it]
                                                         
{'loss': 2.1841, 'grad_norm': 4.283214092254639, 'learning_rate': 1.5284172464308193e-05, 'epoch': 0.06}

 65%|██████▍   | 6457/10000 [17:05:13<7:29:56,  7.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9276771545410156, dino_loss: 0.73046875, depth_loss: 0.06093856319785118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6842247843742371, dino_loss: 0.0, depth_loss: 0.05773325636982918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6458/10000 [17:05:20<7:21:21,  7.48s/it]
                                                         
{'loss': 2.546, 'grad_norm': 4.2658281326293945, 'learning_rate': 1.527655552147824e-05, 'epoch': 0.06}

 65%|██████▍   | 6458/10000 [17:05:20<7:21:21,  7.48s/it]the number of masks: 8
seg_loss: 0.9081131815910339, dino_loss: 0.69140625, depth_loss: 0.05714097619056702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4338017702102661, dino_loss: 0.59375, depth_loss: 0.06299970299005508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6459/10000 [17:05:26<6:53:03,  7.00s/it]
                                                         
{'loss': 2.418, 'grad_norm': 3.9703824520111084, 'learning_rate': 1.5268939641989556e-05, 'epoch': 0.06}

 65%|██████▍   | 6459/10000 [17:05:26<6:53:03,  7.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9229332208633423, dino_loss: 0.67578125, depth_loss: 0.056295305490493774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7448123097419739, dino_loss: 0.0, depth_loss: 0.05621889606118202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6460/10000 [17:05:34<7:14:45,  7.37s/it]
                                                         
{'loss': 2.0945, 'grad_norm': 8.798530578613281, 'learning_rate': 1.5261324826675e-05, 'epoch': 0.06}

 65%|██████▍   | 6460/10000 [17:05:34<7:14:45,  7.37s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6648199558258057, dino_loss: 0.625, depth_loss: 0.05633091926574707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9018259048461914, dino_loss: 0.66796875, depth_loss: 0.06300252676010132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6461/10000 [17:05:41<7:13:37,  7.35s/it]
                                                         
{'loss': 2.1197, 'grad_norm': 8.429259300231934, 'learning_rate': 1.5253711076367316e-05, 'epoch': 0.06}

 65%|██████▍   | 6461/10000 [17:05:41<7:13:37,  7.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.869884192943573, dino_loss: 0.69921875, depth_loss: 0.048364147543907166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7225639820098877, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6462/10000 [17:05:47<6:49:21,  6.94s/it]
                                                         
{'loss': 2.0986, 'grad_norm': 5.402380466461182, 'learning_rate': 1.5246098391899138e-05, 'epoch': 0.06}

 65%|██████▍   | 6462/10000 [17:05:47<6:49:21,  6.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9373129606246948, dino_loss: 0.6875, depth_loss: 0.06104675680398941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0078182220458984, dino_loss: 0.67578125, depth_loss: 0.06033603847026825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6463/10000 [17:05:56<7:16:26,  7.40s/it]
                                                         
{'loss': 2.7333, 'grad_norm': 4.003873348236084, 'learning_rate': 1.5238486774102972e-05, 'epoch': 0.06}

 65%|██████▍   | 6463/10000 [17:05:56<7:16:26,  7.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7869660258293152, dino_loss: 0.68359375, depth_loss: 0.0726536363363266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9392295479774475, dino_loss: 0.6015625, depth_loss: 0.03445463627576828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6464/10000 [17:06:05<7:49:18,  7.96s/it]
                                                         
{'loss': 2.439, 'grad_norm': 7.007231712341309, 'learning_rate': 1.5230876223811219e-05, 'epoch': 0.06}

 65%|██████▍   | 6464/10000 [17:06:05<7:49:18,  7.96s/it]the number of masks: 8
seg_loss: 0.6203262805938721, dino_loss: 0.70703125, depth_loss: 0.06771419197320938, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1084285974502563, dino_loss: 0.61328125, depth_loss: 0.0725315734744072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6465/10000 [17:06:12<7:37:23,  7.76s/it]
                                                         
{'loss': 2.337, 'grad_norm': 5.098355293273926, 'learning_rate': 1.5223266741856152e-05, 'epoch': 0.06}

 65%|██████▍   | 6465/10000 [17:06:12<7:37:23,  7.76s/it]the number of masks: 8
seg_loss: 0.5213596224784851, dino_loss: 0.68359375, depth_loss: 0.061373062431812286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6270612478256226, dino_loss: 0.62890625, depth_loss: 0.04602546617388725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6466/10000 [17:06:21<7:48:41,  7.96s/it]
                                                         
{'loss': 2.1907, 'grad_norm': 4.6742706298828125, 'learning_rate': 1.521565832906994e-05, 'epoch': 0.06}

 65%|██████▍   | 6466/10000 [17:06:21<7:48:41,  7.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9404060244560242, dino_loss: 0.64453125, depth_loss: 0.0627976730465889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0154674053192139, dino_loss: 0.66015625, depth_loss: 0.041322819888591766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6467/10000 [17:06:30<8:11:25,  8.35s/it]
                                                         
{'loss': 2.3473, 'grad_norm': 2.7857227325439453, 'learning_rate': 1.5208050986284623e-05, 'epoch': 0.06}

 65%|██████▍   | 6467/10000 [17:06:30<8:11:25,  8.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7343651056289673, dino_loss: 0.65234375, depth_loss: 0.07032451033592224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8522220849990845, dino_loss: 0.828125, depth_loss: 0.0702429935336113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6468/10000 [17:06:37<7:50:45,  8.00s/it]
                                                         
{'loss': 2.3483, 'grad_norm': 6.288919448852539, 'learning_rate': 1.5200444714332127e-05, 'epoch': 0.06}

 65%|██████▍   | 6468/10000 [17:06:37<7:50:45,  8.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0290577411651611, dino_loss: 0.58984375, depth_loss: 0.0667792558670044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9584369659423828, dino_loss: 0.7578125, depth_loss: 0.066468745470047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6469/10000 [17:06:47<8:24:29,  8.57s/it]
                                                         
{'loss': 2.6102, 'grad_norm': 7.703157424926758, 'learning_rate': 1.5192839514044263e-05, 'epoch': 0.06}

 65%|██████▍   | 6469/10000 [17:06:47<8:24:29,  8.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8632369041442871, dino_loss: 0.68359375, depth_loss: 0.06800967454910278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7852811813354492, dino_loss: 0.7109375, depth_loss: 0.07201610505580902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6470/10000 [17:06:57<8:56:36,  9.12s/it]
                                                         
{'loss': 2.1993, 'grad_norm': 4.280155181884766, 'learning_rate': 1.5185235386252717e-05, 'epoch': 0.06}

 65%|██████▍   | 6470/10000 [17:06:57<8:56:36,  9.12s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9793543219566345, dino_loss: 0.66796875, depth_loss: 0.061734169721603394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8246430158615112, dino_loss: 0.76171875, depth_loss: 0.07405105233192444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6471/10000 [17:07:06<8:39:10,  8.83s/it]
                                                         
{'loss': 2.5368, 'grad_norm': 4.17839241027832, 'learning_rate': 1.517763233178908e-05, 'epoch': 0.06}

 65%|██████▍   | 6471/10000 [17:07:06<8:39:10,  8.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7939838171005249, dino_loss: 0.7109375, depth_loss: 0.05471011996269226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8591353297233582, dino_loss: 0.703125, depth_loss: 0.11214844882488251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6472/10000 [17:07:13<8:05:52,  8.26s/it]
                                                         
{'loss': 2.3672, 'grad_norm': 3.584146738052368, 'learning_rate': 1.5170030351484805e-05, 'epoch': 0.06}

 65%|██████▍   | 6472/10000 [17:07:13<8:05:52,  8.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.074114203453064, dino_loss: 0.6953125, depth_loss: 0.07019682228565216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.033637523651123, dino_loss: 0.61328125, depth_loss: 0.056061360985040665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6473/10000 [17:07:20<7:42:42,  7.87s/it]
                                                         
{'loss': 1.8499, 'grad_norm': 4.340555667877197, 'learning_rate': 1.5162429446171234e-05, 'epoch': 0.06}

 65%|██████▍   | 6473/10000 [17:07:20<7:42:42,  7.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8893135786056519, dino_loss: 0.6796875, depth_loss: 0.08143950998783112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9266213178634644, dino_loss: 0.69921875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6474/10000 [17:07:27<7:31:48,  7.69s/it]
                                                         
{'loss': 2.7662, 'grad_norm': 4.1534295082092285, 'learning_rate': 1.5154829616679583e-05, 'epoch': 0.06}

 65%|██████▍   | 6474/10000 [17:07:27<7:31:48,  7.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7624518871307373, dino_loss: 0.69921875, depth_loss: 0.06262589991092682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.560814380645752, dino_loss: 0.0, depth_loss: 0.04636124521493912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6475/10000 [17:07:35<7:44:58,  7.91s/it]
                                                         
{'loss': 1.5853, 'grad_norm': 3.2985551357269287, 'learning_rate': 1.5147230863840966e-05, 'epoch': 0.06}

 65%|██████▍   | 6475/10000 [17:07:35<7:44:58,  7.91s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8768121600151062, dino_loss: 0.0, depth_loss: 0.06904998421669006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8569601774215698, dino_loss: 0.65234375, depth_loss: 0.06857378780841827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6476/10000 [17:07:46<8:28:02,  8.65s/it]
                                                         
{'loss': 2.1751, 'grad_norm': 4.870946884155273, 'learning_rate': 1.5139633188486357e-05, 'epoch': 0.06}

 65%|██████▍   | 6476/10000 [17:07:46<8:28:02,  8.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8663375973701477, dino_loss: 0.72265625, depth_loss: 0.0821494460105896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6755613088607788, dino_loss: 0.50390625, depth_loss: 0.036592379212379456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6477/10000 [17:07:53<8:00:00,  8.18s/it]
                                                         
{'loss': 1.7208, 'grad_norm': 6.374031066894531, 'learning_rate': 1.5132036591446653e-05, 'epoch': 0.06}

 65%|██████▍   | 6477/10000 [17:07:53<8:00:00,  8.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9668013453483582, dino_loss: 0.640625, depth_loss: 0.05302274972200394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8018585443496704, dino_loss: 0.6796875, depth_loss: 0.04432893544435501, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6478/10000 [17:08:01<8:11:26,  8.37s/it]
                                                         
{'loss': 2.58, 'grad_norm': 4.365296840667725, 'learning_rate': 1.5124441073552585e-05, 'epoch': 0.06}

 65%|██████▍   | 6478/10000 [17:08:02<8:11:26,  8.37s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6748571991920471, dino_loss: 0.67578125, depth_loss: 0.050809238106012344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9661166071891785, dino_loss: 0.6875, depth_loss: 0.05888299643993378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6479/10000 [17:08:08<7:45:53,  7.94s/it]
                                                         
{'loss': 1.9706, 'grad_norm': 7.988781452178955, 'learning_rate': 1.5116846635634796e-05, 'epoch': 0.06}

 65%|██████▍   | 6479/10000 [17:08:08<7:45:53,  7.94s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9779491424560547, dino_loss: 0.66796875, depth_loss: 0.06246853992342949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8953614830970764, dino_loss: 0.6875, depth_loss: 0.06661353260278702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6480/10000 [17:08:17<8:03:09,  8.24s/it]
                                                         
{'loss': 1.726, 'grad_norm': 4.4913554191589355, 'learning_rate': 1.5109253278523799e-05, 'epoch': 0.06}

 65%|██████▍   | 6480/10000 [17:08:17<8:03:09,  8.24s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0453705787658691, dino_loss: 0.66796875, depth_loss: 0.072267547249794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8170887231826782, dino_loss: 0.6796875, depth_loss: 0.08049891889095306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6481/10000 [17:08:25<7:48:32,  7.99s/it]
                                                         
{'loss': 2.7671, 'grad_norm': 4.041511535644531, 'learning_rate': 1.5101661003049994e-05, 'epoch': 0.06}

 65%|██████▍   | 6481/10000 [17:08:25<7:48:32,  7.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9136540293693542, dino_loss: 0.73046875, depth_loss: 0.057713545858860016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8658183813095093, dino_loss: 0.7578125, depth_loss: 0.08208739757537842, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6482/10000 [17:08:34<8:08:40,  8.33s/it]
                                                         
{'loss': 2.4732, 'grad_norm': 3.009864568710327, 'learning_rate': 1.5094069810043654e-05, 'epoch': 0.06}

 65%|██████▍   | 6482/10000 [17:08:34<8:08:40,  8.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8627524971961975, dino_loss: 0.69140625, depth_loss: 0.07718811184167862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.950393795967102, dino_loss: 0.68359375, depth_loss: 0.05371307209134102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6483/10000 [17:08:41<7:50:06,  8.02s/it]
                                                         
{'loss': 2.3122, 'grad_norm': 6.006809234619141, 'learning_rate': 1.5086479700334943e-05, 'epoch': 0.06}

 65%|██████▍   | 6483/10000 [17:08:41<7:50:06,  8.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7146291732788086, dino_loss: 0.64453125, depth_loss: 0.066953644156456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6954853534698486, dino_loss: 0.77734375, depth_loss: 0.06858059763908386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6484/10000 [17:08:49<7:52:58,  8.07s/it]
                                                         
{'loss': 1.8829, 'grad_norm': 4.31334924697876, 'learning_rate': 1.5078890674753918e-05, 'epoch': 0.06}

 65%|██████▍   | 6484/10000 [17:08:49<7:52:58,  8.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6504873037338257, dino_loss: 0.66796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9309639930725098, dino_loss: 0.7265625, depth_loss: 0.06898026913404465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6485/10000 [17:08:56<7:33:55,  7.75s/it]
                                                         
{'loss': 2.2393, 'grad_norm': 11.871665954589844, 'learning_rate': 1.5071302734130489e-05, 'epoch': 0.06}

 65%|██████▍   | 6485/10000 [17:08:56<7:33:55,  7.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6737872958183289, dino_loss: 0.6875, depth_loss: 0.07669268548488617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6750819683074951, dino_loss: 0.69140625, depth_loss: 0.07540588825941086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6486/10000 [17:09:05<7:48:42,  8.00s/it]
                                                         
{'loss': 2.0697, 'grad_norm': 7.814999580383301, 'learning_rate': 1.5063715879294459e-05, 'epoch': 0.06}

 65%|██████▍   | 6486/10000 [17:09:05<7:48:42,  8.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6982425451278687, dino_loss: 0.66015625, depth_loss: 0.08064253628253937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.71484375, depth_loss: 0.06163136661052704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6487/10000 [17:09:11<7:15:49,  7.44s/it]
                                                         
{'loss': 1.5031, 'grad_norm': 2.2591583728790283, 'learning_rate': 1.5056130111075534e-05, 'epoch': 0.06}

 65%|██████▍   | 6487/10000 [17:09:11<7:15:49,  7.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8198647499084473, dino_loss: 0.671875, depth_loss: 0.05343545973300934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0829321146011353, dino_loss: 0.72265625, depth_loss: 0.05343489348888397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6488/10000 [17:09:20<7:43:22,  7.92s/it]
                                                         
{'loss': 2.6221, 'grad_norm': 9.248136520385742, 'learning_rate': 1.5048545430303262e-05, 'epoch': 0.06}

 65%|██████▍   | 6488/10000 [17:09:20<7:43:22,  7.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0114901065826416, dino_loss: 0.69921875, depth_loss: 0.06284982711076736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9621018171310425, dino_loss: 0.6484375, depth_loss: 0.06278126686811447, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6489/10000 [17:09:28<7:42:50,  7.91s/it]
                                                         
{'loss': 2.766, 'grad_norm': 3.102334976196289, 'learning_rate': 1.5040961837807099e-05, 'epoch': 0.06}

 65%|██████▍   | 6489/10000 [17:09:28<7:42:50,  7.91s/it]the number of masks: 8
seg_loss: 0.65296471118927, dino_loss: 0.71875, depth_loss: 0.06641051173210144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.979271411895752, dino_loss: 0.671875, depth_loss: 0.0616275928914547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6490/10000 [17:09:34<7:12:29,  7.39s/it]
                                                         
{'loss': 1.9423, 'grad_norm': 6.284908771514893, 'learning_rate': 1.5033379334416375e-05, 'epoch': 0.06}

 65%|██████▍   | 6490/10000 [17:09:34<7:12:29,  7.39s/it]the number of masks: 8
seg_loss: 0.9887794256210327, dino_loss: 0.75390625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7408099174499512, dino_loss: 0.61328125, depth_loss: 0.0464407280087471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6491/10000 [17:09:42<7:16:20,  7.46s/it]
                                                         
{'loss': 2.4643, 'grad_norm': 3.847289800643921, 'learning_rate': 1.5025797920960305e-05, 'epoch': 0.06}

 65%|██████▍   | 6491/10000 [17:09:42<7:16:20,  7.46s/it]the number of masks: 8
seg_loss: 0.8965549468994141, dino_loss: 0.71484375, depth_loss: 0.10244402289390564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.7057347297668457, dino_loss: 0.6484375, depth_loss: 0.06503578275442123, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6492/10000 [17:09:49<7:10:20,  7.36s/it]
                                                         
{'loss': 2.1751, 'grad_norm': 5.02713680267334, 'learning_rate': 1.5018217598267981e-05, 'epoch': 0.06}

 65%|██████▍   | 6492/10000 [17:09:49<7:10:20,  7.36s/it]the number of masks: 8
seg_loss: 0.8823564052581787, dino_loss: 0.72265625, depth_loss: 0.07208502292633057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7147901058197021, dino_loss: 0.6796875, depth_loss: 0.06162175163626671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6493/10000 [17:09:55<6:49:51,  7.01s/it]
                                                         
{'loss': 1.762, 'grad_norm': 4.048463344573975, 'learning_rate': 1.5010638367168373e-05, 'epoch': 0.06}

 65%|██████▍   | 6493/10000 [17:09:55<6:49:51,  7.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7783044576644897, dino_loss: 0.68359375, depth_loss: 0.06398658454418182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8170455694198608, dino_loss: 0.62890625, depth_loss: 0.07516322284936905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6494/10000 [17:10:05<7:34:27,  7.78s/it]
                                                         
{'loss': 2.4408, 'grad_norm': 3.0955989360809326, 'learning_rate': 1.5003060228490334e-05, 'epoch': 0.06}

 65%|██████▍   | 6494/10000 [17:10:05<7:34:27,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6948292255401611, dino_loss: 0.58984375, depth_loss: 0.0856892392039299, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9219767451286316, dino_loss: 0.640625, depth_loss: 0.07800555974245071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6495/10000 [17:10:14<8:02:57,  8.27s/it]
                                                         
{'loss': 1.8357, 'grad_norm': 2.835211992263794, 'learning_rate': 1.499548318306259e-05, 'epoch': 0.06}

 65%|██████▍   | 6495/10000 [17:10:14<8:02:57,  8.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0292435884475708, dino_loss: 0.8125, depth_loss: 0.055141475051641464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9620453715324402, dino_loss: 0.66796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6496/10000 [17:10:24<8:22:49,  8.61s/it]
                                                         
{'loss': 2.6007, 'grad_norm': 4.522455215454102, 'learning_rate': 1.498790723171377e-05, 'epoch': 0.06}

 65%|██████▍   | 6496/10000 [17:10:24<8:22:49,  8.61s/it]the number of masks: 8
seg_loss: 0.49088555574417114, dino_loss: 0.61328125, depth_loss: 0.05334387719631195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.928966760635376, dino_loss: 0.67578125, depth_loss: 0.06448046118021011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6497/10000 [17:10:30<7:53:04,  8.10s/it]
                                                         
{'loss': 1.7644, 'grad_norm': 6.458254814147949, 'learning_rate': 1.4980332375272366e-05, 'epoch': 0.06}

 65%|██████▍   | 6497/10000 [17:10:30<7:53:04,  8.10s/it]the number of masks: 5
the number of masks: 8
seg_loss: 0.8178578615188599, dino_loss: 0.62890625, depth_loss: 0.06560509651899338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.4422791004180908, dino_loss: 0.59375, depth_loss: 0.039915770292282104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6498/10000 [17:10:38<7:49:38,  8.05s/it]
                                                         
{'loss': 2.0327, 'grad_norm': 3.580179452896118, 'learning_rate': 1.4972758614566746e-05, 'epoch': 0.06}

 65%|██████▍   | 6498/10000 [17:10:38<7:49:38,  8.05s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7645038962364197, dino_loss: 0.640625, depth_loss: 0.057636361569166183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6950920820236206, dino_loss: 0.6953125, depth_loss: 0.07736511528491974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▍   | 6499/10000 [17:10:46<7:43:18,  7.94s/it]
                                                         
{'loss': 2.1812, 'grad_norm': 5.537064552307129, 'learning_rate': 1.496518595042517e-05, 'epoch': 0.06}

 65%|██████▍   | 6499/10000 [17:10:46<7:43:18,  7.94s/it]the number of masks: 8
seg_loss: 0.4647054374217987, dino_loss: 0.76953125, depth_loss: 0.08495275676250458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9789611101150513, dino_loss: 0.6875, depth_loss: 0.03597645461559296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6500/10000 [17:10:52<7:10:34,  7.38s/it]
                                                         
{'loss': 2.2545, 'grad_norm': 5.69214391708374, 'learning_rate': 1.495761438367577e-05, 'epoch': 0.06}

 65%|██████▌   | 6500/10000 [17:10:52<7:10:34,  7.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7590295672416687, dino_loss: 0.7109375, depth_loss: 0.06140298396348953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6953125, depth_loss: 0.05284630507230759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6501/10000 [17:10:58<6:40:21,  6.87s/it]
                                                         
{'loss': 2.1362, 'grad_norm': 3.868274450302124, 'learning_rate': 1.4950043915146561e-05, 'epoch': 0.06}

 65%|██████▌   | 6501/10000 [17:10:58<6:40:21,  6.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9197908639907837, dino_loss: 0.66796875, depth_loss: 0.07712258398532867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8715360164642334, dino_loss: 0.6953125, depth_loss: 0.05090082436800003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6502/10000 [17:11:06<6:58:01,  7.17s/it]
                                                         
{'loss': 2.6157, 'grad_norm': 3.4960618019104004, 'learning_rate': 1.4942474545665433e-05, 'epoch': 0.06}

 65%|██████▌   | 6502/10000 [17:11:06<6:58:01,  7.17s/it]the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9831397533416748, dino_loss: 0.71484375, depth_loss: 0.03927884250879288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8541719317436218, dino_loss: 0.69140625, depth_loss: 0.07284574955701828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6503/10000 [17:11:16<7:48:17,  8.03s/it]
                                                         
{'loss': 2.1023, 'grad_norm': 4.483057975769043, 'learning_rate': 1.4934906276060175e-05, 'epoch': 0.06}

 65%|██████▌   | 6503/10000 [17:11:16<7:48:17,  8.03s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9261481165885925, dino_loss: 0.71484375, depth_loss: 0.09076617658138275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5175233483314514, dino_loss: 0.7109375, depth_loss: 0.054722078144550323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6504/10000 [17:11:22<7:21:24,  7.58s/it]
                                                         
{'loss': 1.9544, 'grad_norm': 4.200279712677002, 'learning_rate': 1.4927339107158437e-05, 'epoch': 0.06}

 65%|██████▌   | 6504/10000 [17:11:22<7:21:24,  7.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0072191953659058, dino_loss: 0.73828125, depth_loss: 0.05976495146751404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1202751398086548, dino_loss: 0.671875, depth_loss: 0.044186972081661224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6505/10000 [17:11:31<7:36:52,  7.84s/it]
                                                         
{'loss': 2.6981, 'grad_norm': 4.531486511230469, 'learning_rate': 1.4919773039787748e-05, 'epoch': 0.06}

 65%|██████▌   | 6505/10000 [17:11:31<7:36:52,  7.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7017285823822021, dino_loss: 0.69921875, depth_loss: 0.05082342028617859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8853411674499512, dino_loss: 0.66796875, depth_loss: 0.05929294973611832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6506/10000 [17:11:41<8:11:17,  8.44s/it]
                                                         
{'loss': 2.4754, 'grad_norm': 3.602950096130371, 'learning_rate': 1.4912208074775524e-05, 'epoch': 0.06}

 65%|██████▌   | 6506/10000 [17:11:41<8:11:17,  8.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5942274928092957, dino_loss: 0.63671875, depth_loss: 0.043371185660362244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8657852411270142, dino_loss: 0.6875, depth_loss: 0.0414617620408535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6507/10000 [17:11:47<7:43:07,  7.96s/it]
                                                         
{'loss': 2.3214, 'grad_norm': 2.764507532119751, 'learning_rate': 1.4904644212949053e-05, 'epoch': 0.06}

 65%|██████▌   | 6507/10000 [17:11:47<7:43:07,  7.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9025671482086182, dino_loss: 0.6796875, depth_loss: 0.09942302107810974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8262412548065186, dino_loss: 0.0, depth_loss: 0.05106814205646515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6508/10000 [17:11:55<7:29:42,  7.73s/it]
                                                         
{'loss': 2.2756, 'grad_norm': 8.765809059143066, 'learning_rate': 1.4897081455135514e-05, 'epoch': 0.06}

 65%|██████▌   | 6508/10000 [17:11:55<7:29:42,  7.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7710374593734741, dino_loss: 0.7265625, depth_loss: 0.06366322934627533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.4978545606136322, dino_loss: 0.58203125, depth_loss: 0.053279075771570206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6509/10000 [17:12:04<8:03:07,  8.30s/it]
                                                         
{'loss': 1.7831, 'grad_norm': 5.222254753112793, 'learning_rate': 1.488951980216196e-05, 'epoch': 0.06}

 65%|██████▌   | 6509/10000 [17:12:04<8:03:07,  8.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1134119033813477, dino_loss: 0.65625, depth_loss: 0.053457386791706085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.33850163221359253, dino_loss: 0.59765625, depth_loss: 0.05687012895941734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6510/10000 [17:12:12<7:57:32,  8.21s/it]
                                                         
{'loss': 2.3416, 'grad_norm': 4.788022518157959, 'learning_rate': 1.4881959254855324e-05, 'epoch': 0.06}

 65%|██████▌   | 6510/10000 [17:12:12<7:57:32,  8.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7830284833908081, dino_loss: 0.6953125, depth_loss: 0.03714413195848465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7821286916732788, dino_loss: 0.63671875, depth_loss: 0.04229506477713585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6511/10000 [17:12:23<8:48:25,  9.09s/it]
                                                         
{'loss': 2.5518, 'grad_norm': 3.8831052780151367, 'learning_rate': 1.4874399814042403e-05, 'epoch': 0.06}

 65%|██████▌   | 6511/10000 [17:12:23<8:48:25,  9.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.934363067150116, dino_loss: 0.6328125, depth_loss: 0.04355628788471222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7324458360671997, dino_loss: 0.671875, depth_loss: 0.05461491644382477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6512/10000 [17:12:33<8:55:15,  9.21s/it]
                                                         
{'loss': 2.2338, 'grad_norm': 3.9307260513305664, 'learning_rate': 1.48668414805499e-05, 'epoch': 0.06}

 65%|██████▌   | 6512/10000 [17:12:33<8:55:15,  9.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8192611932754517, dino_loss: 0.7109375, depth_loss: 0.05738627910614014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8801738023757935, dino_loss: 0.75390625, depth_loss: 0.07516565173864365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6513/10000 [17:12:42<8:59:42,  9.29s/it]
                                                         
{'loss': 2.8639, 'grad_norm': 2.5497562885284424, 'learning_rate': 1.4859284255204381e-05, 'epoch': 0.06}

 65%|██████▌   | 6513/10000 [17:12:42<8:59:42,  9.29s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8382837772369385, dino_loss: 0.76171875, depth_loss: 0.06461962312459946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9797840714454651, dino_loss: 0.62890625, depth_loss: 0.06935706734657288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6514/10000 [17:12:53<9:17:52,  9.60s/it]
                                                         
{'loss': 2.44, 'grad_norm': 3.294403553009033, 'learning_rate': 1.485172813883228e-05, 'epoch': 0.06}

 65%|██████▌   | 6514/10000 [17:12:53<9:17:52,  9.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8305750489234924, dino_loss: 0.65625, depth_loss: 0.05546262487769127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7339549660682678, dino_loss: 0.64453125, depth_loss: 0.06434903293848038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6515/10000 [17:13:01<8:52:40,  9.17s/it]
                                                         
{'loss': 2.7472, 'grad_norm': 4.374127388000488, 'learning_rate': 1.4844173132259933e-05, 'epoch': 0.06}

 65%|██████▌   | 6515/10000 [17:13:01<8:52:40,  9.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0492881536483765, dino_loss: 0.6875, depth_loss: 0.051130324602127075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8387117385864258, dino_loss: 0.7890625, depth_loss: 0.05959300696849823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6516/10000 [17:13:11<9:08:37,  9.45s/it]
                                                         
{'loss': 2.683, 'grad_norm': 2.8138504028320312, 'learning_rate': 1.483661923631355e-05, 'epoch': 0.06}

 65%|██████▌   | 6516/10000 [17:13:11<9:08:37,  9.45s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6522489190101624, dino_loss: 0.6953125, depth_loss: 0.04872402548789978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9041773676872253, dino_loss: 0.63671875, depth_loss: 0.05004339665174484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6517/10000 [17:13:19<8:42:48,  9.01s/it]
                                                         
{'loss': 2.2312, 'grad_norm': 3.8097643852233887, 'learning_rate': 1.4829066451819207e-05, 'epoch': 0.06}

 65%|██████▌   | 6517/10000 [17:13:19<8:42:48,  9.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8602275848388672, dino_loss: 0.68359375, depth_loss: 0.06336420774459839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9015803337097168, dino_loss: 0.69140625, depth_loss: 0.08056855946779251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6518/10000 [17:13:28<8:39:17,  8.95s/it]
                                                         
{'loss': 2.3168, 'grad_norm': 4.731684684753418, 'learning_rate': 1.4821514779602864e-05, 'epoch': 0.06}

 65%|██████▌   | 6518/10000 [17:13:28<8:39:17,  8.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0426433086395264, dino_loss: 0.70703125, depth_loss: 0.062247201800346375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.753959059715271, dino_loss: 0.7734375, depth_loss: 0.06414058059453964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6519/10000 [17:13:39<9:13:44,  9.54s/it]
                                                         
{'loss': 2.697, 'grad_norm': 10.511028289794922, 'learning_rate': 1.4813964220490361e-05, 'epoch': 0.06}

 65%|██████▌   | 6519/10000 [17:13:39<9:13:44,  9.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9417252540588379, dino_loss: 0.671875, depth_loss: 0.05083445459604263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6449081897735596, dino_loss: 0.6875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6520/10000 [17:13:46<8:34:49,  8.88s/it]
                                                         
{'loss': 2.3622, 'grad_norm': 5.048136234283447, 'learning_rate': 1.4806414775307418e-05, 'epoch': 0.06}

 65%|██████▌   | 6520/10000 [17:13:46<8:34:49,  8.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8894116282463074, dino_loss: 0.76953125, depth_loss: 0.05827952176332474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1870150566101074, dino_loss: 0.62890625, depth_loss: 0.04237551614642143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6521/10000 [17:13:54<8:21:37,  8.65s/it]
                                                         
{'loss': 1.9864, 'grad_norm': 16.656156539916992, 'learning_rate': 1.4798866444879617e-05, 'epoch': 0.06}

 65%|██████▌   | 6521/10000 [17:13:54<8:21:37,  8.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9928129315376282, dino_loss: 0.7109375, depth_loss: 0.09410509467124939, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6751671433448792, dino_loss: 0.6640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6522/10000 [17:14:02<8:04:18,  8.35s/it]
                                                         
{'loss': 2.4013, 'grad_norm': 4.585415840148926, 'learning_rate': 1.4791319230032458e-05, 'epoch': 0.06}

 65%|██████▌   | 6522/10000 [17:14:02<8:04:18,  8.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1041057109832764, dino_loss: 0.65625, depth_loss: 0.06828847527503967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8465670943260193, dino_loss: 0.64453125, depth_loss: 0.053214576095342636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6523/10000 [17:14:11<8:24:34,  8.71s/it]
                                                         
{'loss': 2.4546, 'grad_norm': 6.117453575134277, 'learning_rate': 1.4783773131591278e-05, 'epoch': 0.06}

 65%|██████▌   | 6523/10000 [17:14:11<8:24:34,  8.71s/it]the number of masks: 8
the number of masks: 7
seg_loss: 0.3623322546482086, dino_loss: 0.64453125, depth_loss: 0.04806196689605713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8436875939369202, dino_loss: 0.73828125, depth_loss: 0.0767991691827774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6524/10000 [17:14:21<8:37:37,  8.93s/it]
                                                         
{'loss': 1.6819, 'grad_norm': 2.5393216609954834, 'learning_rate': 1.4776228150381305e-05, 'epoch': 0.06}

 65%|██████▌   | 6524/10000 [17:14:21<8:37:37,  8.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.88465416431427, dino_loss: 0.67578125, depth_loss: 0.06779336929321289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.33811384439468384, dino_loss: 0.5625, depth_loss: 0.03834783658385277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6525/10000 [17:14:28<8:10:10,  8.46s/it]
                                                         
{'loss': 1.7792, 'grad_norm': 3.8539505004882812, 'learning_rate': 1.4768684287227652e-05, 'epoch': 0.06}

 65%|██████▌   | 6525/10000 [17:14:28<8:10:10,  8.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8021383285522461, dino_loss: 0.73046875, depth_loss: 0.047246016561985016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7269434928894043, dino_loss: 0.75, depth_loss: 0.062217630445957184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6526/10000 [17:14:37<8:12:59,  8.51s/it]
                                                         
{'loss': 2.2172, 'grad_norm': 3.6365346908569336, 'learning_rate': 1.4761141542955306e-05, 'epoch': 0.06}

 65%|██████▌   | 6526/10000 [17:14:37<8:12:59,  8.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9064833521842957, dino_loss: 0.64453125, depth_loss: 0.06986789405345917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5892701148986816, dino_loss: 0.78515625, depth_loss: 0.0560874417424202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6527/10000 [17:14:46<8:24:25,  8.71s/it]
                                                         
{'loss': 2.2741, 'grad_norm': 2.4713990688323975, 'learning_rate': 1.4753599918389116e-05, 'epoch': 0.06}

 65%|██████▌   | 6527/10000 [17:14:46<8:24:25,  8.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9518880844116211, dino_loss: 0.734375, depth_loss: 0.06598798930644989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7891442775726318, dino_loss: 0.61328125, depth_loss: 0.057652831077575684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6528/10000 [17:14:55<8:30:13,  8.82s/it]
                                                         
{'loss': 1.9011, 'grad_norm': 2.88523530960083, 'learning_rate': 1.4746059414353841e-05, 'epoch': 0.06}

 65%|██████▌   | 6528/10000 [17:14:55<8:30:13,  8.82s/it]the number of masks: 8
seg_loss: 0.9023812413215637, dino_loss: 0.68359375, depth_loss: 0.06774991750717163, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.8590349555015564, dino_loss: 0.734375, depth_loss: 0.07296723127365112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6529/10000 [17:15:04<8:27:19,  8.77s/it]
                                                         
{'loss': 2.5767, 'grad_norm': 3.8957901000976562, 'learning_rate': 1.4738520031674092e-05, 'epoch': 0.06}

 65%|██████▌   | 6529/10000 [17:15:04<8:27:19,  8.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7180029153823853, dino_loss: 0.671875, depth_loss: 0.05686004459857941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9599961042404175, dino_loss: 0.640625, depth_loss: 0.038856156170368195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6530/10000 [17:15:12<8:18:25,  8.62s/it]
                                                         
{'loss': 2.3501, 'grad_norm': 6.907022953033447, 'learning_rate': 1.4730981771174369e-05, 'epoch': 0.06}

 65%|██████▌   | 6530/10000 [17:15:12<8:18:25,  8.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8174724578857422, dino_loss: 0.6796875, depth_loss: 0.04982379823923111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8910703659057617, dino_loss: 0.71875, depth_loss: 0.0622611939907074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6531/10000 [17:15:21<8:28:41,  8.80s/it]
                                                         
{'loss': 1.8595, 'grad_norm': 3.943615436553955, 'learning_rate': 1.4723444633679035e-05, 'epoch': 0.06}

 65%|██████▌   | 6531/10000 [17:15:21<8:28:41,  8.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9382562637329102, dino_loss: 0.69921875, depth_loss: 0.06064436584711075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.837510883808136, dino_loss: 0.68359375, depth_loss: 0.04752100259065628, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6532/10000 [17:15:28<8:01:55,  8.34s/it]
                                                         
{'loss': 2.2155, 'grad_norm': 6.491696357727051, 'learning_rate': 1.4715908620012342e-05, 'epoch': 0.06}

 65%|██████▌   | 6532/10000 [17:15:28<8:01:55,  8.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.83099365234375, dino_loss: 0.66796875, depth_loss: 0.08361925929784775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7733359336853027, dino_loss: 0.7890625, depth_loss: 0.0684506818652153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6533/10000 [17:15:37<8:02:41,  8.35s/it]
                                                         
{'loss': 2.0192, 'grad_norm': 4.661561012268066, 'learning_rate': 1.4708373730998426e-05, 'epoch': 0.06}

 65%|██████▌   | 6533/10000 [17:15:37<8:02:41,  8.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8397748470306396, dino_loss: 0.6328125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9485044479370117, dino_loss: 0.6875, depth_loss: 0.07113894075155258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6534/10000 [17:15:43<7:22:46,  7.66s/it]
                                                         
{'loss': 1.8877, 'grad_norm': 7.086644172668457, 'learning_rate': 1.470083996746128e-05, 'epoch': 0.06}

 65%|██████▌   | 6534/10000 [17:15:43<7:22:46,  7.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8488879203796387, dino_loss: 0.6953125, depth_loss: 0.067573681473732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8923109173774719, dino_loss: 0.7734375, depth_loss: 0.05103806406259537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6535/10000 [17:15:53<8:00:19,  8.32s/it]
                                                         
{'loss': 2.0418, 'grad_norm': 5.3124589920043945, 'learning_rate': 1.4693307330224798e-05, 'epoch': 0.06}

 65%|██████▌   | 6535/10000 [17:15:53<8:00:19,  8.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.026020884513855, dino_loss: 0.71875, depth_loss: 0.050018418580293655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9319952726364136, dino_loss: 0.66796875, depth_loss: 0.05985146760940552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6536/10000 [17:16:03<8:34:03,  8.90s/it]
                                                         
{'loss': 2.121, 'grad_norm': 2.093712568283081, 'learning_rate': 1.4685775820112721e-05, 'epoch': 0.06}

 65%|██████▌   | 6536/10000 [17:16:03<8:34:03,  8.90s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8068104982376099, dino_loss: 0.64453125, depth_loss: 0.04638265073299408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9412633180618286, dino_loss: 0.671875, depth_loss: 0.06267493963241577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6537/10000 [17:16:10<8:06:05,  8.42s/it]
                                                         
{'loss': 2.0259, 'grad_norm': 6.454928398132324, 'learning_rate': 1.4678245437948701e-05, 'epoch': 0.06}

 65%|██████▌   | 6537/10000 [17:16:10<8:06:05,  8.42s/it]the number of masks: 8
seg_loss: 0.4171816408634186, dino_loss: 0.59375, depth_loss: 0.04804457724094391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8944274187088013, dino_loss: 0.62109375, depth_loss: 0.05597313493490219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6538/10000 [17:16:17<7:37:04,  7.92s/it]
                                                         
{'loss': 1.7598, 'grad_norm': 3.4132776260375977, 'learning_rate': 1.467071618455624e-05, 'epoch': 0.06}

 65%|██████▌   | 6538/10000 [17:16:17<7:37:04,  7.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7774406671524048, dino_loss: 0.75, depth_loss: 0.07883908599615097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9035121202468872, dino_loss: 0.70703125, depth_loss: 0.08338239789009094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6539/10000 [17:16:26<7:52:19,  8.19s/it]
                                                         
{'loss': 2.6303, 'grad_norm': 3.159369707107544, 'learning_rate': 1.4663188060758728e-05, 'epoch': 0.06}

 65%|██████▌   | 6539/10000 [17:16:26<7:52:19,  8.19s/it]the number of masks: 8
seg_loss: 0.7678225636482239, dino_loss: 0.71484375, depth_loss: 0.0759032741189003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7006312608718872, dino_loss: 0.65234375, depth_loss: 0.040639787912368774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6540/10000 [17:16:33<7:43:07,  8.03s/it]
                                                         
{'loss': 2.2436, 'grad_norm': 12.283533096313477, 'learning_rate': 1.465566106737942e-05, 'epoch': 0.06}

 65%|██████▌   | 6540/10000 [17:16:33<7:43:07,  8.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7267224192619324, dino_loss: 0.6796875, depth_loss: 0.06832538545131683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9599381685256958, dino_loss: 0.7265625, depth_loss: 0.08064483851194382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6541/10000 [17:16:42<7:47:50,  8.12s/it]
                                                         
{'loss': 1.9686, 'grad_norm': 3.450676918029785, 'learning_rate': 1.4648135205241476e-05, 'epoch': 0.06}

 65%|██████▌   | 6541/10000 [17:16:42<7:47:50,  8.12s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7719719409942627, dino_loss: 0.671875, depth_loss: 0.0805642232298851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0075989961624146, dino_loss: 0.7734375, depth_loss: 0.05161155015230179, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6542/10000 [17:16:51<8:04:54,  8.41s/it]
                                                         
{'loss': 2.7845, 'grad_norm': 3.4289867877960205, 'learning_rate': 1.4640610475167898e-05, 'epoch': 0.06}

 65%|██████▌   | 6542/10000 [17:16:51<8:04:54,  8.41s/it]the number of masks: 8
seg_loss: 0.943920373916626, dino_loss: 0.7578125, depth_loss: 0.05738479644060135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9301328659057617, dino_loss: 0.75390625, depth_loss: 0.07523244619369507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6543/10000 [17:16:59<7:51:20,  8.18s/it]
                                                         
{'loss': 2.7439, 'grad_norm': 3.5320725440979004, 'learning_rate': 1.4633086877981584e-05, 'epoch': 0.06}

 65%|██████▌   | 6543/10000 [17:16:59<7:51:20,  8.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7875527143478394, dino_loss: 0.6796875, depth_loss: 0.06373701989650726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9623637199401855, dino_loss: 0.67578125, depth_loss: 0.09664592146873474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6544/10000 [17:17:06<7:41:17,  8.01s/it]
                                                         
{'loss': 1.962, 'grad_norm': 2.924463987350464, 'learning_rate': 1.4625564414505304e-05, 'epoch': 0.06}

 65%|██████▌   | 6544/10000 [17:17:06<7:41:17,  8.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7125516533851624, dino_loss: 0.67578125, depth_loss: 0.05991294980049133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7861025333404541, dino_loss: 0.6875, depth_loss: 0.05166376009583473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6545/10000 [17:17:14<7:35:18,  7.91s/it]
                                                         
{'loss': 2.154, 'grad_norm': 4.800168037414551, 'learning_rate': 1.4618043085561702e-05, 'epoch': 0.06}

 65%|██████▌   | 6545/10000 [17:17:14<7:35:18,  7.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0118942260742188, dino_loss: 0.671875, depth_loss: 0.056861430406570435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0922876596450806, dino_loss: 0.69140625, depth_loss: 0.06965748965740204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6546/10000 [17:17:23<8:00:17,  8.34s/it]
                                                         
{'loss': 2.9809, 'grad_norm': 3.192927837371826, 'learning_rate': 1.4610522891973289e-05, 'epoch': 0.06}

 65%|██████▌   | 6546/10000 [17:17:23<8:00:17,  8.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.849829912185669, dino_loss: 0.75, depth_loss: 0.07654369622468948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9160520434379578, dino_loss: 0.66796875, depth_loss: 0.05847497656941414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6547/10000 [17:17:33<8:20:59,  8.71s/it]
                                                         
{'loss': 2.1899, 'grad_norm': 2.8440351486206055, 'learning_rate': 1.4603003834562485e-05, 'epoch': 0.06}

 65%|██████▌   | 6547/10000 [17:17:33<8:20:59,  8.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7367489337921143, dino_loss: 0.71875, depth_loss: 0.06248468533158302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8206700086593628, dino_loss: 0.5625, depth_loss: 0.04009498655796051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6548/10000 [17:17:41<8:21:13,  8.71s/it]
                                                         
{'loss': 3.3231, 'grad_norm': 8.640470504760742, 'learning_rate': 1.4595485914151543e-05, 'epoch': 0.06}

 65%|██████▌   | 6548/10000 [17:17:41<8:21:13,  8.71s/it]the number of masks: 8
seg_loss: 0.6717031002044678, dino_loss: 0.76953125, depth_loss: 0.07299630343914032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6500277519226074, dino_loss: 0.0, depth_loss: 0.052560608834028244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 65%|██████▌   | 6549/10000 [17:17:48<7:39:05,  7.98s/it]
                                                         
{'loss': 1.8433, 'grad_norm': 2.520979404449463, 'learning_rate': 1.4587969131562618e-05, 'epoch': 0.06}

 65%|██████▌   | 6549/10000 [17:17:48<7:39:05,  7.98s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0589691400527954, dino_loss: 0.7265625, depth_loss: 0.07852743566036224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0699158906936646, dino_loss: 0.73046875, depth_loss: 0.0644148588180542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6550/10000 [17:17:55<7:27:48,  7.79s/it]
                                                         
{'loss': 2.5383, 'grad_norm': 3.260313034057617, 'learning_rate': 1.4580453487617745e-05, 'epoch': 0.06}

 66%|██████▌   | 6550/10000 [17:17:55<7:27:48,  7.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7937374114990234, dino_loss: 0.7734375, depth_loss: 0.05368686839938164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9667719602584839, dino_loss: 0.0, depth_loss: 0.06865519285202026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6551/10000 [17:18:04<7:49:37,  8.17s/it]
                                                         
{'loss': 2.1439, 'grad_norm': 4.294682502746582, 'learning_rate': 1.45729389831388e-05, 'epoch': 0.06}

 66%|██████▌   | 6551/10000 [17:18:04<7:49:37,  8.17s/it]the number of masks: 8
seg_loss: 1.039084792137146, dino_loss: 0.765625, depth_loss: 0.08249704539775848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8981589674949646, dino_loss: 0.7265625, depth_loss: 0.05026337876915932, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6552/10000 [17:18:12<7:36:16,  7.94s/it]
                                                         
{'loss': 2.4525, 'grad_norm': 7.047526836395264, 'learning_rate': 1.4565425618947588e-05, 'epoch': 0.06}

 66%|██████▌   | 6552/10000 [17:18:12<7:36:16,  7.94s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9013553261756897, dino_loss: 0.69140625, depth_loss: 0.055050358176231384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5578192472457886, dino_loss: 0.63671875, depth_loss: 0.05927897244691849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6553/10000 [17:18:19<7:31:15,  7.85s/it]
                                                         
{'loss': 2.0641, 'grad_norm': 3.554302930831909, 'learning_rate': 1.4557913395865714e-05, 'epoch': 0.06}

 66%|██████▌   | 6553/10000 [17:18:19<7:31:15,  7.85s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0145823955535889, dino_loss: 0.6640625, depth_loss: 0.06360006332397461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9787453413009644, dino_loss: 0.73046875, depth_loss: 0.0779665857553482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6554/10000 [17:18:26<7:19:56,  7.66s/it]
                                                         
{'loss': 2.4487, 'grad_norm': 7.054993629455566, 'learning_rate': 1.4550402314714755e-05, 'epoch': 0.06}

 66%|██████▌   | 6554/10000 [17:18:26<7:19:56,  7.66s/it]seg_loss: 0.0, dino_loss: 0.82421875, depth_loss: 0.0840880498290062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.77734375, depth_loss: 0.037819817662239075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6555/10000 [17:18:30<6:07:23,  6.40s/it]
                                                         
{'loss': 1.7475, 'grad_norm': 2.3669674396514893, 'learning_rate': 1.4542892376316078e-05, 'epoch': 0.06}

 66%|██████▌   | 6555/10000 [17:18:30<6:07:23,  6.40s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7803435325622559, dino_loss: 0.69921875, depth_loss: 0.07155632972717285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 6
the number of masks: 8
seg_loss: 0.5860978364944458, dino_loss: 0.6875, depth_loss: 0.04798537492752075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6556/10000 [17:18:38<6:29:26,  6.78s/it]
                                                         
{'loss': 2.3341, 'grad_norm': 3.2979636192321777, 'learning_rate': 1.453538358149098e-05, 'epoch': 0.06}

 66%|██████▌   | 6556/10000 [17:18:38<6:29:26,  6.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8212725520133972, dino_loss: 0.734375, depth_loss: 0.07359431684017181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.088987112045288, dino_loss: 0.671875, depth_loss: 0.06040039658546448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6557/10000 [17:18:45<6:37:54,  6.93s/it]
                                                         
{'loss': 2.1674, 'grad_norm': 6.816451072692871, 'learning_rate': 1.4527875931060586e-05, 'epoch': 0.06}

 66%|██████▌   | 6557/10000 [17:18:45<6:37:54,  6.93s/it]the number of masks: 8
seg_loss: 0.8876427412033081, dino_loss: 0.625, depth_loss: 0.04635634645819664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0496039390563965, dino_loss: 0.6640625, depth_loss: 0.0400148369371891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6558/10000 [17:18:50<6:02:52,  6.33s/it]
                                                         
{'loss': 2.324, 'grad_norm': 6.4530415534973145, 'learning_rate': 1.452036942584595e-05, 'epoch': 0.06}

 66%|██████▌   | 6558/10000 [17:18:50<6:02:52,  6.33s/it]the number of masks: 8
seg_loss: 1.0364917516708374, dino_loss: 0.73046875, depth_loss: 0.07351689040660858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6988511681556702, dino_loss: 0.66796875, depth_loss: 0.06931506842374802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6559/10000 [17:18:58<6:29:49,  6.80s/it]
                                                         
{'loss': 2.0622, 'grad_norm': 3.190864324569702, 'learning_rate': 1.4512864066667937e-05, 'epoch': 0.06}

 66%|██████▌   | 6559/10000 [17:18:58<6:29:49,  6.80s/it]the number of masks: 8
seg_loss: 0.817241370677948, dino_loss: 0.70703125, depth_loss: 0.04648757353425026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.954429030418396, dino_loss: 0.5859375, depth_loss: 0.08296884596347809, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6560/10000 [17:19:05<6:39:40,  6.97s/it]
                                                         
{'loss': 2.4037, 'grad_norm': 3.5331239700317383, 'learning_rate': 1.4505359854347361e-05, 'epoch': 0.06}

 66%|██████▌   | 6560/10000 [17:19:05<6:39:40,  6.97s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7702815532684326, dino_loss: 0.69140625, depth_loss: 0.0899236872792244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9153770208358765, dino_loss: 0.0, depth_loss: 0.06800612807273865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6561/10000 [17:19:13<7:03:06,  7.38s/it]
                                                         
{'loss': 1.8623, 'grad_norm': 5.109872817993164, 'learning_rate': 1.4497856789704844e-05, 'epoch': 0.06}

 66%|██████▌   | 6561/10000 [17:19:13<7:03:06,  7.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9161514043807983, dino_loss: 0.73828125, depth_loss: 0.07398810982704163, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1080994606018066, dino_loss: 0.66015625, depth_loss: 0.044262468814849854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6562/10000 [17:19:21<7:15:32,  7.60s/it]
                                                         
{'loss': 2.7325, 'grad_norm': 5.239011764526367, 'learning_rate': 1.449035487356093e-05, 'epoch': 0.06}

 66%|██████▌   | 6562/10000 [17:19:21<7:15:32,  7.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9589340686798096, dino_loss: 0.71484375, depth_loss: 0.06102582812309265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8135803937911987, dino_loss: 0.0, depth_loss: 0.07562281936407089, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6563/10000 [17:19:29<7:07:19,  7.46s/it]
                                                         
{'loss': 2.1999, 'grad_norm': 3.458758592605591, 'learning_rate': 1.4482854106735993e-05, 'epoch': 0.06}

 66%|██████▌   | 6563/10000 [17:19:29<7:07:19,  7.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.943060040473938, dino_loss: 0.68359375, depth_loss: 0.05907334014773369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8214882612228394, dino_loss: 0.734375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6564/10000 [17:19:39<7:52:19,  8.25s/it]
                                                         
{'loss': 2.1476, 'grad_norm': 4.038429260253906, 'learning_rate': 1.447535449005033e-05, 'epoch': 0.06}

 66%|██████▌   | 6564/10000 [17:19:39<7:52:19,  8.25s/it]the number of masks: 8
seg_loss: 0.6156738996505737, dino_loss: 0.72265625, depth_loss: 0.06697148084640503, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0826256275177002, dino_loss: 0.7265625, depth_loss: 0.06576361507177353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6565/10000 [17:19:44<7:06:45,  7.45s/it]
                                                         
{'loss': 2.4791, 'grad_norm': 5.872420310974121, 'learning_rate': 1.4467856024324056e-05, 'epoch': 0.06}

 66%|██████▌   | 6565/10000 [17:19:44<7:06:45,  7.45s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.057549916207790375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9309370517730713, dino_loss: 0.70703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6566/10000 [17:19:53<7:25:11,  7.78s/it]
                                                         
{'loss': 1.8766, 'grad_norm': 1.734207272529602, 'learning_rate': 1.446035871037723e-05, 'epoch': 0.06}

 66%|██████▌   | 6566/10000 [17:19:53<7:25:11,  7.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7783018350601196, dino_loss: 0.703125, depth_loss: 0.06513158231973648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0023597478866577, dino_loss: 0.703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6567/10000 [17:20:02<7:43:10,  8.10s/it]
                                                         
{'loss': 2.4002, 'grad_norm': 7.018714904785156, 'learning_rate': 1.4452862549029722e-05, 'epoch': 0.06}

 66%|██████▌   | 6567/10000 [17:20:02<7:43:10,  8.10s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7498989701271057, dino_loss: 0.66015625, depth_loss: 0.04346852749586105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.65234375, depth_loss: 0.04983352869749069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6568/10000 [17:20:07<6:57:42,  7.30s/it]
                                                         
{'loss': 1.7868, 'grad_norm': 4.358508110046387, 'learning_rate': 1.4445367541101318e-05, 'epoch': 0.06}

 66%|██████▌   | 6568/10000 [17:20:07<6:57:42,  7.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9300140142440796, dino_loss: 0.76171875, depth_loss: 0.07371753454208374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7161499261856079, dino_loss: 0.64453125, depth_loss: 0.07749360054731369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6569/10000 [17:20:14<6:56:25,  7.28s/it]
                                                         
{'loss': 2.0256, 'grad_norm': 14.44352912902832, 'learning_rate': 1.4437873687411644e-05, 'epoch': 0.06}

 66%|██████▌   | 6569/10000 [17:20:14<6:56:25,  7.28s/it]seg_loss: 0.0, dino_loss: 0.66015625, depth_loss: 0.06272494047880173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.742800235748291, dino_loss: 0.75, depth_loss: 0.07704733312129974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6570/10000 [17:20:22<6:56:03,  7.28s/it]
                                                         
{'loss': 1.9832, 'grad_norm': 1.8831040859222412, 'learning_rate': 1.4430380988780218e-05, 'epoch': 0.06}

 66%|██████▌   | 6570/10000 [17:20:22<6:56:03,  7.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9075829386711121, dino_loss: 0.0, depth_loss: 0.05976826697587967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1221083402633667, dino_loss: 0.73828125, depth_loss: 0.06396343559026718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6571/10000 [17:20:30<7:24:17,  7.77s/it]
                                                         
{'loss': 2.2494, 'grad_norm': 3.3142237663269043, 'learning_rate': 1.4422889446026449e-05, 'epoch': 0.06}

 66%|██████▌   | 6571/10000 [17:20:30<7:24:17,  7.77s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8022684454917908, dino_loss: 0.69140625, depth_loss: 0.06441201269626617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8689295649528503, dino_loss: 0.72265625, depth_loss: 0.05321177840232849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6572/10000 [17:20:39<7:36:35,  7.99s/it]
                                                         
{'loss': 2.4281, 'grad_norm': 8.769674301147461, 'learning_rate': 1.4415399059969578e-05, 'epoch': 0.06}

 66%|██████▌   | 6572/10000 [17:20:39<7:36:35,  7.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.877277135848999, dino_loss: 0.64453125, depth_loss: 0.03476238623261452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8321962952613831, dino_loss: 0.73828125, depth_loss: 0.06811526417732239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6573/10000 [17:20:47<7:36:24,  7.99s/it]
                                                         
{'loss': 2.0625, 'grad_norm': 7.0004048347473145, 'learning_rate': 1.4407909831428751e-05, 'epoch': 0.06}

 66%|██████▌   | 6573/10000 [17:20:47<7:36:24,  7.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8522152900695801, dino_loss: 0.62890625, depth_loss: 0.06390966475009918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8537375330924988, dino_loss: 0.65625, depth_loss: 0.06083760783076286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6574/10000 [17:20:56<7:49:26,  8.22s/it]
                                                         
{'loss': 1.9591, 'grad_norm': 2.6451027393341064, 'learning_rate': 1.4400421761222981e-05, 'epoch': 0.06}

 66%|██████▌   | 6574/10000 [17:20:56<7:49:26,  8.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.931113064289093, dino_loss: 0.70703125, depth_loss: 0.060542140156030655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8685394525527954, dino_loss: 0.66015625, depth_loss: 0.06489910930395126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6575/10000 [17:21:05<8:08:59,  8.57s/it]
                                                         
{'loss': 1.9665, 'grad_norm': 2.645962715148926, 'learning_rate': 1.439293485017116e-05, 'epoch': 0.06}

 66%|██████▌   | 6575/10000 [17:21:05<8:08:59,  8.57s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.2516971826553345, dino_loss: 0.7734375, depth_loss: 0.051750753074884415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8398370742797852, dino_loss: 0.69140625, depth_loss: 0.06703648716211319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6576/10000 [17:21:12<7:33:50,  7.95s/it]
                                                         
{'loss': 2.1464, 'grad_norm': 7.772320747375488, 'learning_rate': 1.4385449099092027e-05, 'epoch': 0.06}

 66%|██████▌   | 6576/10000 [17:21:12<7:33:50,  7.95s/it]the number of masks: 8
seg_loss: 0.7404965162277222, dino_loss: 0.6875, depth_loss: 0.0653911754488945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7568403482437134, dino_loss: 0.74609375, depth_loss: 0.05934374779462814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6577/10000 [17:21:19<7:18:57,  7.69s/it]
                                                         
{'loss': 1.936, 'grad_norm': 4.249725341796875, 'learning_rate': 1.4377964508804231e-05, 'epoch': 0.06}

 66%|██████▌   | 6577/10000 [17:21:19<7:18:57,  7.69s/it]the number of masks: 8
seg_loss: 0.9066835641860962, dino_loss: 0.68359375, depth_loss: 0.050642795860767365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6572497487068176, dino_loss: 0.67578125, depth_loss: 0.06898723542690277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6578/10000 [17:21:26<7:08:46,  7.52s/it]
                                                         
{'loss': 2.3128, 'grad_norm': 7.758622646331787, 'learning_rate': 1.4370481080126248e-05, 'epoch': 0.06}

 66%|██████▌   | 6578/10000 [17:21:26<7:08:46,  7.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8515620827674866, dino_loss: 0.6953125, depth_loss: 0.05966929346323013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66015625, depth_loss: 0.05545040965080261, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6579/10000 [17:21:31<6:36:00,  6.95s/it]
                                                         
{'loss': 2.0379, 'grad_norm': 5.244017124176025, 'learning_rate': 1.436299881387649e-05, 'epoch': 0.06}

 66%|██████▌   | 6579/10000 [17:21:31<6:36:00,  6.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6445303559303284, dino_loss: 0.73046875, depth_loss: 0.058971107006073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7036546468734741, dino_loss: 0.625, depth_loss: 0.04622483253479004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6580/10000 [17:21:40<6:58:14,  7.34s/it]
                                                         
{'loss': 2.1176, 'grad_norm': 3.800048351287842, 'learning_rate': 1.4355517710873184e-05, 'epoch': 0.06}

 66%|██████▌   | 6580/10000 [17:21:40<6:58:14,  7.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8420950174331665, dino_loss: 0.73046875, depth_loss: 0.04865090548992157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8660173416137695, dino_loss: 0.6640625, depth_loss: 0.05374530702829361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6581/10000 [17:21:48<7:16:57,  7.67s/it]
                                                         
{'loss': 2.3948, 'grad_norm': 3.5124905109405518, 'learning_rate': 1.4348037771934464e-05, 'epoch': 0.06}

 66%|██████▌   | 6581/10000 [17:21:48<7:16:57,  7.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7194195985794067, dino_loss: 0.734375, depth_loss: 0.0768907442688942, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66015625, depth_loss: 0.04910954833030701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6582/10000 [17:21:55<6:55:47,  7.30s/it]
                                                         
{'loss': 2.2754, 'grad_norm': 1.555365800857544, 'learning_rate': 1.4340558997878307e-05, 'epoch': 0.06}

 66%|██████▌   | 6582/10000 [17:21:55<6:55:47,  7.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9230761528015137, dino_loss: 0.7421875, depth_loss: 0.0634954497218132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.864494800567627, dino_loss: 0.69921875, depth_loss: 0.06499864161014557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6583/10000 [17:22:03<7:13:35,  7.61s/it]
                                                         
{'loss': 1.9345, 'grad_norm': 4.612177848815918, 'learning_rate': 1.4333081389522602e-05, 'epoch': 0.06}

 66%|██████▌   | 6583/10000 [17:22:03<7:13:35,  7.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8016266822814941, dino_loss: 0.5625, depth_loss: 0.09519431740045547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9377260208129883, dino_loss: 0.7265625, depth_loss: 0.05885867029428482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6584/10000 [17:22:11<7:15:54,  7.66s/it]
                                                         
{'loss': 2.1185, 'grad_norm': 4.147683143615723, 'learning_rate': 1.4325604947685062e-05, 'epoch': 0.06}

 66%|██████▌   | 6584/10000 [17:22:11<7:15:54,  7.66s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9567359685897827, dino_loss: 0.68359375, depth_loss: 0.059287216514348984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0504481792449951, dino_loss: 0.75390625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6585/10000 [17:22:20<7:38:00,  8.05s/it]
                                                         
{'loss': 2.5705, 'grad_norm': 5.832060813903809, 'learning_rate': 1.4318129673183333e-05, 'epoch': 0.06}

 66%|██████▌   | 6585/10000 [17:22:20<7:38:00,  8.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9287051558494568, dino_loss: 0.70703125, depth_loss: 0.05709248036146164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9359902143478394, dino_loss: 0.73046875, depth_loss: 0.06005656719207764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6586/10000 [17:22:29<7:58:13,  8.40s/it]
                                                         
{'loss': 2.2271, 'grad_norm': 4.758073806762695, 'learning_rate': 1.4310655566834874e-05, 'epoch': 0.06}

 66%|██████▌   | 6586/10000 [17:22:29<7:58:13,  8.40s/it]the number of masks: 8
the number of masks: 5
seg_loss: 0.8507046699523926, dino_loss: 0.6484375, depth_loss: 0.054275330156087875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.848188042640686, dino_loss: 0.63671875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6587/10000 [17:22:36<7:40:53,  8.10s/it]
                                                         
{'loss': 2.447, 'grad_norm': 4.481439113616943, 'learning_rate': 1.4303182629457062e-05, 'epoch': 0.06}

 66%|██████▌   | 6587/10000 [17:22:36<7:40:53,  8.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8852550983428955, dino_loss: 0.734375, depth_loss: 0.05965011566877365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9612775444984436, dino_loss: 0.71875, depth_loss: 0.08165327459573746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6588/10000 [17:22:44<7:34:29,  7.99s/it]
                                                         
{'loss': 2.4693, 'grad_norm': 3.8208870887756348, 'learning_rate': 1.4295710861867103e-05, 'epoch': 0.06}

 66%|██████▌   | 6588/10000 [17:22:44<7:34:29,  7.99s/it]the number of masks: 8
seg_loss: 0.8751515746116638, dino_loss: 0.6796875, depth_loss: 0.04332204908132553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0003688335418701, dino_loss: 0.69921875, depth_loss: 0.06979965418577194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6589/10000 [17:22:50<7:05:12,  7.48s/it]
                                                         
{'loss': 2.2226, 'grad_norm': 3.3445239067077637, 'learning_rate': 1.4288240264882125e-05, 'epoch': 0.06}

 66%|██████▌   | 6589/10000 [17:22:50<7:05:12,  7.48s/it]the number of masks: 8
seg_loss: 0.9862504601478577, dino_loss: 0.703125, depth_loss: 0.05440641939640045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.019694209098816, dino_loss: 0.63671875, depth_loss: 0.0627894252538681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6590/10000 [17:22:57<6:50:11,  7.22s/it]
                                                         
{'loss': 2.7087, 'grad_norm': 6.034364700317383, 'learning_rate': 1.4280770839319071e-05, 'epoch': 0.06}

 66%|██████▌   | 6590/10000 [17:22:57<6:50:11,  7.22s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.969335675239563, dino_loss: 0.79296875, depth_loss: 0.06889539957046509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8991674184799194, dino_loss: 0.67578125, depth_loss: 0.07362262904644012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6591/10000 [17:23:06<7:15:25,  7.66s/it]
                                                         
{'loss': 2.3791, 'grad_norm': 4.734210968017578, 'learning_rate': 1.4273302585994804e-05, 'epoch': 0.06}

 66%|██████▌   | 6591/10000 [17:23:06<7:15:25,  7.66s/it]the number of masks: 8
seg_loss: 0.9520025253295898, dino_loss: 0.55078125, depth_loss: 0.04006016254425049, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.930703341960907, dino_loss: 0.69921875, depth_loss: 0.08348967134952545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6592/10000 [17:23:12<6:54:02,  7.29s/it]
                                                         
{'loss': 2.3498, 'grad_norm': 5.784308910369873, 'learning_rate': 1.4265835505726041e-05, 'epoch': 0.06}

 66%|██████▌   | 6592/10000 [17:23:12<6:54:02,  7.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9056055545806885, dino_loss: 0.6875, depth_loss: 0.11068994551897049, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8727694153785706, dino_loss: 0.703125, depth_loss: 0.07409027963876724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6593/10000 [17:23:23<7:51:59,  8.31s/it]
                                                         
{'loss': 2.5566, 'grad_norm': 3.0403385162353516, 'learning_rate': 1.4258369599329377e-05, 'epoch': 0.06}

 66%|██████▌   | 6593/10000 [17:23:23<7:51:59,  8.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8717852830886841, dino_loss: 0.6875, depth_loss: 0.06870953738689423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7990188002586365, dino_loss: 0.69140625, depth_loss: 0.05511908233165741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6594/10000 [17:23:32<8:14:10,  8.71s/it]
                                                         
{'loss': 2.0587, 'grad_norm': 3.769368886947632, 'learning_rate': 1.4250904867621254e-05, 'epoch': 0.06}

 66%|██████▌   | 6594/10000 [17:23:32<8:14:10,  8.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9683433771133423, dino_loss: 0.671875, depth_loss: 0.0752435028553009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8371989130973816, dino_loss: 0.71484375, depth_loss: 0.03005780652165413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6595/10000 [17:23:41<8:04:55,  8.54s/it]
                                                         
{'loss': 2.4455, 'grad_norm': 3.5701446533203125, 'learning_rate': 1.4243441311418013e-05, 'epoch': 0.06}

 66%|██████▌   | 6595/10000 [17:23:41<8:04:55,  8.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8933088779449463, dino_loss: 0.67578125, depth_loss: 0.05897706747055054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8130455017089844, dino_loss: 0.66015625, depth_loss: 0.046704355627298355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6596/10000 [17:23:46<7:17:34,  7.71s/it]
                                                         
{'loss': 1.6643, 'grad_norm': 6.024693965911865, 'learning_rate': 1.423597893153587e-05, 'epoch': 0.06}

 66%|██████▌   | 6596/10000 [17:23:46<7:17:34,  7.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0239399671554565, dino_loss: 0.71484375, depth_loss: 0.06116584688425064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7011985778808594, dino_loss: 0.66015625, depth_loss: 0.03231992572546005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6597/10000 [17:23:54<7:19:27,  7.75s/it]
                                                         
{'loss': 1.9774, 'grad_norm': 6.332446098327637, 'learning_rate': 1.4228517728790874e-05, 'epoch': 0.06}

 66%|██████▌   | 6597/10000 [17:23:54<7:19:27,  7.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.963668704032898, dino_loss: 0.69921875, depth_loss: 0.06023833155632019, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6782678961753845, dino_loss: 0.61328125, depth_loss: 0.07354291528463364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6598/10000 [17:24:04<7:51:23,  8.31s/it]
                                                         
{'loss': 2.2135, 'grad_norm': 5.166066646575928, 'learning_rate': 1.4221057703998985e-05, 'epoch': 0.06}

 66%|██████▌   | 6598/10000 [17:24:04<7:51:23,  8.31s/it]the number of masks: 8
seg_loss: 0.9584019184112549, dino_loss: 0.6484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7053177356719971, dino_loss: 0.62109375, depth_loss: 0.04624330624938011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6599/10000 [17:24:12<7:49:32,  8.28s/it]
                                                         
{'loss': 1.8464, 'grad_norm': 11.621291160583496, 'learning_rate': 1.4213598857976024e-05, 'epoch': 0.06}

 66%|██████▌   | 6599/10000 [17:24:12<7:49:32,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8528794050216675, dino_loss: 0.6640625, depth_loss: 0.05750953406095505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0463279485702515, dino_loss: 0.65625, depth_loss: 0.05384380370378494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6600/10000 [17:24:20<7:49:06,  8.28s/it]
                                                         
{'loss': 1.9833, 'grad_norm': 8.849942207336426, 'learning_rate': 1.4206141191537682e-05, 'epoch': 0.06}

 66%|██████▌   | 6600/10000 [17:24:20<7:49:06,  8.28s/it]seg_loss: 0.0, dino_loss: 0.72265625, depth_loss: 0.06473802030086517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.9605478048324585, dino_loss: 0.65234375, depth_loss: 0.06272367388010025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6601/10000 [17:24:28<7:40:21,  8.13s/it]
                                                         
{'loss': 1.5821, 'grad_norm': 4.247892379760742, 'learning_rate': 1.4198684705499498e-05, 'epoch': 0.06}

 66%|██████▌   | 6601/10000 [17:24:28<7:40:21,  8.13s/it]the number of masks: 8
seg_loss: 1.0435259342193604, dino_loss: 0.69921875, depth_loss: 0.04202906787395477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0252809524536133, dino_loss: 0.79296875, depth_loss: 0.05730768293142319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6602/10000 [17:24:34<7:04:14,  7.49s/it]
                                                         
{'loss': 2.9811, 'grad_norm': 9.980263710021973, 'learning_rate': 1.4191229400676931e-05, 'epoch': 0.06}

 66%|██████▌   | 6602/10000 [17:24:34<7:04:14,  7.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6995581388473511, dino_loss: 0.65234375, depth_loss: 0.05020342767238617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5052013397216797, dino_loss: 0.75390625, depth_loss: 0.10302314162254333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6603/10000 [17:24:41<7:03:15,  7.48s/it]
                                                         
{'loss': 2.1157, 'grad_norm': 5.305501937866211, 'learning_rate': 1.4183775277885253e-05, 'epoch': 0.06}

 66%|██████▌   | 6603/10000 [17:24:41<7:03:15,  7.48s/it]seg_loss: 0.0, dino_loss: 0.76953125, depth_loss: 0.04401387646794319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8403154015541077, dino_loss: 0.70703125, depth_loss: 0.07855084538459778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6604/10000 [17:24:47<6:26:05,  6.82s/it]
                                                         
{'loss': 1.9219, 'grad_norm': 3.695042133331299, 'learning_rate': 1.4176322337939646e-05, 'epoch': 0.06}

 66%|██████▌   | 6604/10000 [17:24:47<6:26:05,  6.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8428160548210144, dino_loss: 0.6484375, depth_loss: 0.05852706357836723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9173948764801025, dino_loss: 0.0, depth_loss: 0.06655693799257278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6605/10000 [17:24:54<6:26:10,  6.83s/it]
                                                         
{'loss': 1.3798, 'grad_norm': 4.0804619789123535, 'learning_rate': 1.4168870581655159e-05, 'epoch': 0.06}

 66%|██████▌   | 6605/10000 [17:24:54<6:26:10,  6.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.859893798828125, dino_loss: 0.62890625, depth_loss: 0.0667886883020401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8222416639328003, dino_loss: 0.6640625, depth_loss: 0.054768048226833344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6606/10000 [17:25:02<6:50:00,  7.25s/it]
                                                         
{'loss': 2.132, 'grad_norm': 3.8071670532226562, 'learning_rate': 1.416142000984671e-05, 'epoch': 0.06}

 66%|██████▌   | 6606/10000 [17:25:02<6:50:00,  7.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7350891828536987, dino_loss: 0.69140625, depth_loss: 0.08367141336202621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1641697883605957, dino_loss: 0.67578125, depth_loss: 0.051253851503133774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6607/10000 [17:25:10<7:04:22,  7.50s/it]
                                                         
{'loss': 2.135, 'grad_norm': 7.3829569816589355, 'learning_rate': 1.415397062332906e-05, 'epoch': 0.06}

 66%|██████▌   | 6607/10000 [17:25:10<7:04:22,  7.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9078798294067383, dino_loss: 0.6953125, depth_loss: 0.03847454860806465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9008082151412964, dino_loss: 0.80078125, depth_loss: 0.061561040580272675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6608/10000 [17:25:16<6:38:39,  7.05s/it]
                                                         
{'loss': 1.892, 'grad_norm': 4.027169227600098, 'learning_rate': 1.4146522422916889e-05, 'epoch': 0.06}

 66%|██████▌   | 6608/10000 [17:25:16<6:38:39,  7.05s/it]the number of masks: 8
seg_loss: 0.9796419739723206, dino_loss: 0.6796875, depth_loss: 0.057672154158353806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9450323581695557, dino_loss: 0.66015625, depth_loss: 0.06210293620824814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6609/10000 [17:25:22<6:25:47,  6.83s/it]
                                                         
{'loss': 2.2203, 'grad_norm': 2.891374349594116, 'learning_rate': 1.4139075409424696e-05, 'epoch': 0.06}

 66%|██████▌   | 6609/10000 [17:25:22<6:25:47,  6.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9656951427459717, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0048760175704956, dino_loss: 0.75390625, depth_loss: 0.0766470730304718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6610/10000 [17:25:30<6:48:55,  7.24s/it]
                                                         
{'loss': 2.4206, 'grad_norm': 8.55356502532959, 'learning_rate': 1.4131629583666888e-05, 'epoch': 0.06}

 66%|██████▌   | 6610/10000 [17:25:30<6:48:55,  7.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7361987829208374, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8853801488876343, dino_loss: 0.68359375, depth_loss: 0.06302128732204437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6611/10000 [17:25:40<7:24:13,  7.86s/it]
                                                         
{'loss': 1.9225, 'grad_norm': 2.446195363998413, 'learning_rate': 1.412418494645773e-05, 'epoch': 0.06}

 66%|██████▌   | 6611/10000 [17:25:40<7:24:13,  7.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8493108749389648, dino_loss: 0.68359375, depth_loss: 0.0625687763094902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6166005730628967, dino_loss: 0.62890625, depth_loss: 0.06717798113822937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6612/10000 [17:25:47<7:13:04,  7.67s/it]
                                                         
{'loss': 1.7781, 'grad_norm': 3.5827271938323975, 'learning_rate': 1.4116741498611364e-05, 'epoch': 0.06}

 66%|██████▌   | 6612/10000 [17:25:47<7:13:04,  7.67s/it]the number of masks: 8
seg_loss: 0.4130808115005493, dino_loss: 0.62109375, depth_loss: 0.046489421278238297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8632823824882507, dino_loss: 0.65625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6613/10000 [17:25:52<6:29:00,  6.89s/it]
                                                         
{'loss': 1.6567, 'grad_norm': 4.5714826583862305, 'learning_rate': 1.4109299240941776e-05, 'epoch': 0.06}

 66%|██████▌   | 6613/10000 [17:25:52<6:29:00,  6.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8947769999504089, dino_loss: 0.66796875, depth_loss: 0.061924099922180176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8591632843017578, dino_loss: 0.70703125, depth_loss: 0.06233786791563034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6614/10000 [17:26:01<7:01:05,  7.46s/it]
                                                         
{'loss': 2.6751, 'grad_norm': 4.313119411468506, 'learning_rate': 1.4101858174262856e-05, 'epoch': 0.06}

 66%|██████▌   | 6614/10000 [17:26:01<7:01:05,  7.46s/it]the number of masks: 8
seg_loss: 0.7928858995437622, dino_loss: 0.7265625, depth_loss: 0.060941845178604126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7502807378768921, dino_loss: 0.63671875, depth_loss: 0.07291638106107712, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6615/10000 [17:26:09<7:16:35,  7.74s/it]
                                                         
{'loss': 2.3586, 'grad_norm': 4.121906757354736, 'learning_rate': 1.4094418299388331e-05, 'epoch': 0.06}

 66%|██████▌   | 6615/10000 [17:26:09<7:16:35,  7.74s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8291314244270325, dino_loss: 0.0, depth_loss: 0.062379252165555954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.026910424232483, dino_loss: 0.625, depth_loss: 0.06260284036397934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6616/10000 [17:26:17<7:24:19,  7.88s/it]
                                                         
{'loss': 2.0204, 'grad_norm': 5.232072830200195, 'learning_rate': 1.4086979617131827e-05, 'epoch': 0.06}

 66%|██████▌   | 6616/10000 [17:26:17<7:24:19,  7.88s/it]the number of masks: 8
seg_loss: 0.9244558215141296, dino_loss: 0.67578125, depth_loss: 0.05927914008498192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0611155033111572, dino_loss: 0.66015625, depth_loss: 0.07156503945589066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6617/10000 [17:26:24<7:00:58,  7.47s/it]
                                                         
{'loss': 2.2125, 'grad_norm': 5.816551208496094, 'learning_rate': 1.4079542128306822e-05, 'epoch': 0.06}

 66%|██████▌   | 6617/10000 [17:26:24<7:00:58,  7.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.631750226020813, dino_loss: 0.65234375, depth_loss: 0.07839302718639374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8387688994407654, dino_loss: 0.640625, depth_loss: 0.054018907248973846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6618/10000 [17:26:33<7:26:10,  7.92s/it]
                                                         
{'loss': 2.1119, 'grad_norm': 2.6314053535461426, 'learning_rate': 1.4072105833726684e-05, 'epoch': 0.06}

 66%|██████▌   | 6618/10000 [17:26:33<7:26:10,  7.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8309961557388306, dino_loss: 0.6640625, depth_loss: 0.07111040502786636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7989867925643921, dino_loss: 0.765625, depth_loss: 0.07898947596549988, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6619/10000 [17:26:43<7:56:54,  8.46s/it]
                                                         
{'loss': 1.9357, 'grad_norm': 4.881569862365723, 'learning_rate': 1.406467073420461e-05, 'epoch': 0.06}

 66%|██████▌   | 6619/10000 [17:26:43<7:56:54,  8.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8588153123855591, dino_loss: 0.73828125, depth_loss: 0.07533101737499237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8381444215774536, dino_loss: 0.765625, depth_loss: 0.0591852031648159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6620/10000 [17:26:50<7:30:32,  8.00s/it]
                                                         
{'loss': 2.5422, 'grad_norm': 6.612109184265137, 'learning_rate': 1.4057236830553704e-05, 'epoch': 0.06}

 66%|██████▌   | 6620/10000 [17:26:50<7:30:32,  8.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6999006271362305, dino_loss: 0.6484375, depth_loss: 0.03967556729912758, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7875672578811646, dino_loss: 0.65625, depth_loss: 0.09171952307224274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6621/10000 [17:27:00<8:05:09,  8.61s/it]
                                                         
{'loss': 1.8668, 'grad_norm': 3.529949903488159, 'learning_rate': 1.4049804123586935e-05, 'epoch': 0.06}

 66%|██████▌   | 6621/10000 [17:27:00<8:05:09,  8.61s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8929896354675293, dino_loss: 0.75390625, depth_loss: 0.07054519653320312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5884761810302734, dino_loss: 0.6171875, depth_loss: 0.09508354216814041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6622/10000 [17:27:07<7:40:28,  8.18s/it]
                                                         
{'loss': 1.5825, 'grad_norm': 2.6240127086639404, 'learning_rate': 1.4042372614117116e-05, 'epoch': 0.06}

 66%|██████▌   | 6622/10000 [17:27:07<7:40:28,  8.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8649256825447083, dino_loss: 0.66796875, depth_loss: 0.08761530369520187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8569414615631104, dino_loss: 0.734375, depth_loss: 0.07725619524717331, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6623/10000 [17:27:16<8:00:25,  8.54s/it]
                                                         
{'loss': 2.5857, 'grad_norm': 6.297996997833252, 'learning_rate': 1.4034942302956955e-05, 'epoch': 0.06}

 66%|██████▌   | 6623/10000 [17:27:16<8:00:25,  8.54s/it]the number of masks: 8
seg_loss: 0.9009151458740234, dino_loss: 0.67578125, depth_loss: 0.06845967471599579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8357141017913818, dino_loss: 0.71484375, depth_loss: 0.06443215906620026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▌   | 6624/10000 [17:27:24<7:42:00,  8.21s/it]
                                                         
{'loss': 2.6641, 'grad_norm': 2.918887138366699, 'learning_rate': 1.4027513190919012e-05, 'epoch': 0.06}

 66%|██████▌   | 6624/10000 [17:27:24<7:42:00,  8.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8683497309684753, dino_loss: 0.66015625, depth_loss: 0.08064237236976624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7965855598449707, dino_loss: 0.68359375, depth_loss: 0.053293950855731964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6625/10000 [17:27:33<8:03:13,  8.59s/it]
                                                         
{'loss': 2.2835, 'grad_norm': 2.6226646900177, 'learning_rate': 1.4020085278815745e-05, 'epoch': 0.06}

 66%|██████▋   | 6625/10000 [17:27:33<8:03:13,  8.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8482879400253296, dino_loss: 0.69140625, depth_loss: 0.0662090852856636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7873875498771667, dino_loss: 0.70703125, depth_loss: 0.06095243617892265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6626/10000 [17:27:42<8:03:10,  8.59s/it]
                                                         
{'loss': 2.6117, 'grad_norm': 2.8378589153289795, 'learning_rate': 1.401265856745943e-05, 'epoch': 0.06}

 66%|██████▋   | 6626/10000 [17:27:42<8:03:10,  8.59s/it]the number of masks: 7
the number of masks: 8
seg_loss: 0.5279581546783447, dino_loss: 0.6953125, depth_loss: 0.06792531907558441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7025901675224304, dino_loss: 0.6015625, depth_loss: 0.027628082782030106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6627/10000 [17:27:50<8:06:08,  8.65s/it]
                                                         
{'loss': 2.7497, 'grad_norm': 5.163377285003662, 'learning_rate': 1.4005233057662267e-05, 'epoch': 0.06}

 66%|██████▋   | 6627/10000 [17:27:50<8:06:08,  8.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8367171287536621, dino_loss: 0.65625, depth_loss: 0.07940763980150223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8057199716567993, dino_loss: 0.6796875, depth_loss: 0.0661112368106842, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6628/10000 [17:27:58<7:55:31,  8.46s/it]
                                                         
{'loss': 2.1836, 'grad_norm': 5.408797740936279, 'learning_rate': 1.3997808750236277e-05, 'epoch': 0.06}

 66%|██████▋   | 6628/10000 [17:27:58<7:55:31,  8.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6954498291015625, dino_loss: 0.640625, depth_loss: 0.06145824119448662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66015625, depth_loss: 0.07422713935375214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6629/10000 [17:28:04<7:07:40,  7.61s/it]
                                                         
{'loss': 2.1206, 'grad_norm': 18.94924545288086, 'learning_rate': 1.3990385645993382e-05, 'epoch': 0.06}

 66%|██████▋   | 6629/10000 [17:28:04<7:07:40,  7.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8780568838119507, dino_loss: 0.60546875, depth_loss: 0.03575833886861801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8425851464271545, dino_loss: 0.81640625, depth_loss: 0.058788225054740906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6630/10000 [17:28:13<7:22:56,  7.89s/it]
                                                         
{'loss': 2.4657, 'grad_norm': 4.053044319152832, 'learning_rate': 1.3982963745745352e-05, 'epoch': 0.06}

 66%|██████▋   | 6630/10000 [17:28:13<7:22:56,  7.89s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8846096396446228, dino_loss: 0.7421875, depth_loss: 0.0649990439414978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0318490266799927, dino_loss: 0.69140625, depth_loss: 0.09641158580780029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6631/10000 [17:28:19<6:51:15,  7.32s/it]
                                                         
{'loss': 2.0425, 'grad_norm': 3.9196386337280273, 'learning_rate': 1.3975543050303863e-05, 'epoch': 0.06}

 66%|██████▋   | 6631/10000 [17:28:19<6:51:15,  7.32s/it]the number of masks: 8
seg_loss: 0.8661181926727295, dino_loss: 0.69140625, depth_loss: 0.06220205873250961, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8079057335853577, dino_loss: 0.68359375, depth_loss: 0.06455669552087784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6632/10000 [17:28:24<6:18:25,  6.74s/it]
                                                         
{'loss': 2.5129, 'grad_norm': 21.68605613708496, 'learning_rate': 1.3968123560480396e-05, 'epoch': 0.06}

 66%|██████▋   | 6632/10000 [17:28:24<6:18:25,  6.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7644020915031433, dino_loss: 0.5390625, depth_loss: 0.07259929925203323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.911377489566803, dino_loss: 0.7109375, depth_loss: 0.05575701594352722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6633/10000 [17:28:33<6:54:28,  7.39s/it]
                                                         
{'loss': 1.8861, 'grad_norm': 3.6155874729156494, 'learning_rate': 1.3960705277086361e-05, 'epoch': 0.06}

 66%|██████▋   | 6633/10000 [17:28:33<6:54:28,  7.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.931729257106781, dino_loss: 0.65625, depth_loss: 0.05695591866970062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.7148337364196777, dino_loss: 0.6875, depth_loss: 0.052898526191711426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6634/10000 [17:28:43<7:39:48,  8.20s/it]
                                                         
{'loss': 2.2641, 'grad_norm': 8.74853515625, 'learning_rate': 1.3953288200932988e-05, 'epoch': 0.06}

 66%|██████▋   | 6634/10000 [17:28:43<7:39:48,  8.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.912565290927887, dino_loss: 0.65625, depth_loss: 0.06000366806983948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9717979431152344, dino_loss: 0.70703125, depth_loss: 0.06500785797834396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6635/10000 [17:28:51<7:42:11,  8.24s/it]
                                                         
{'loss': 2.0173, 'grad_norm': 6.225401878356934, 'learning_rate': 1.3945872332831412e-05, 'epoch': 0.06}

 66%|██████▋   | 6635/10000 [17:28:51<7:42:11,  8.24s/it]the number of masks: 8
seg_loss: 0.8353487253189087, dino_loss: 0.61328125, depth_loss: 0.02605397254228592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.864267885684967, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6636/10000 [17:28:57<6:55:30,  7.41s/it]
                                                         
{'loss': 2.0978, 'grad_norm': 7.68615198135376, 'learning_rate': 1.3938457673592614e-05, 'epoch': 0.06}

 66%|██████▋   | 6636/10000 [17:28:57<6:55:30,  7.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8760282397270203, dino_loss: 0.75390625, depth_loss: 0.0520426407456398, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8452852964401245, dino_loss: 0.671875, depth_loss: 0.061923783272504807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6637/10000 [17:29:06<7:21:16,  7.87s/it]
                                                         
{'loss': 2.399, 'grad_norm': 3.364356517791748, 'learning_rate': 1.3931044224027468e-05, 'epoch': 0.06}

 66%|██████▋   | 6637/10000 [17:29:06<7:21:16,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8994002342224121, dino_loss: 0.6484375, depth_loss: 0.059943001717329025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8728705048561096, dino_loss: 0.74609375, depth_loss: 0.0440942756831646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6638/10000 [17:29:14<7:23:33,  7.92s/it]
                                                         
{'loss': 2.6888, 'grad_norm': 4.356878280639648, 'learning_rate': 1.3923631984946672e-05, 'epoch': 0.06}

 66%|██████▋   | 6638/10000 [17:29:14<7:23:33,  7.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9125270843505859, dino_loss: 0.73046875, depth_loss: 0.06302192807197571, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66796875, depth_loss: 0.05655062571167946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6639/10000 [17:29:19<6:46:41,  7.26s/it]
                                                         
{'loss': 2.1556, 'grad_norm': 2.9705333709716797, 'learning_rate': 1.3916220957160836e-05, 'epoch': 0.06}

 66%|██████▋   | 6639/10000 [17:29:19<6:46:41,  7.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.660114586353302, dino_loss: 0.5859375, depth_loss: 0.046117618680000305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7018372416496277, dino_loss: 0.5078125, depth_loss: 0.07188694924116135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6640/10000 [17:29:29<7:26:55,  7.98s/it]
                                                         
{'loss': 2.1667, 'grad_norm': 2.581101894378662, 'learning_rate': 1.3908811141480408e-05, 'epoch': 0.06}

 66%|██████▋   | 6640/10000 [17:29:29<7:26:55,  7.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7880738973617554, dino_loss: 0.6640625, depth_loss: 0.05797123908996582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5534358620643616, dino_loss: 0.6796875, depth_loss: 0.08931157737970352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6641/10000 [17:29:38<7:44:50,  8.30s/it]
                                                         
{'loss': 2.0154, 'grad_norm': 4.693850517272949, 'learning_rate': 1.3901402538715713e-05, 'epoch': 0.06}

 66%|██████▋   | 6641/10000 [17:29:38<7:44:50,  8.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8471190333366394, dino_loss: 0.64453125, depth_loss: 0.05684664472937584, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7707274556159973, dino_loss: 0.67578125, depth_loss: 0.0592619925737381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6642/10000 [17:29:46<7:29:40,  8.03s/it]
                                                         
{'loss': 1.923, 'grad_norm': 5.574334144592285, 'learning_rate': 1.3893995149676953e-05, 'epoch': 0.06}

 66%|██████▋   | 6642/10000 [17:29:46<7:29:40,  8.03s/it]the number of masks: 5
seg_loss: 0.31176549196243286, dino_loss: 0.73828125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
seg_loss: 1.0873744487762451, dino_loss: 0.7265625, depth_loss: 0.05245569348335266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6643/10000 [17:29:52<6:59:59,  7.51s/it]
                                                         
{'loss': 2.3115, 'grad_norm': 2.297542095184326, 'learning_rate': 1.3886588975174195e-05, 'epoch': 0.06}

 66%|██████▋   | 6643/10000 [17:29:52<6:59:59,  7.51s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9028210043907166, dino_loss: 0.671875, depth_loss: 0.05596916005015373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8103262782096863, dino_loss: 0.6484375, depth_loss: 0.07500860095024109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6644/10000 [17:29:59<6:59:36,  7.50s/it]
                                                         
{'loss': 1.9383, 'grad_norm': 10.189970970153809, 'learning_rate': 1.387918401601735e-05, 'epoch': 0.06}

 66%|██████▋   | 6644/10000 [17:29:59<6:59:36,  7.50s/it]the number of masks: 4
the number of masks: 8
seg_loss: 0.5702593326568604, dino_loss: 0.66015625, depth_loss: 0.05642777308821678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8843077421188354, dino_loss: 0.68359375, depth_loss: 0.054441481828689575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6645/10000 [17:30:07<7:09:12,  7.68s/it]
                                                         
{'loss': 2.1868, 'grad_norm': 9.98621940612793, 'learning_rate': 1.3871780273016215e-05, 'epoch': 0.06}

 66%|██████▋   | 6645/10000 [17:30:07<7:09:12,  7.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5784695148468018, dino_loss: 0.6796875, depth_loss: 0.08576314151287079, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8002357482910156, dino_loss: 0.6953125, depth_loss: 0.06372618675231934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6646/10000 [17:30:14<6:56:00,  7.44s/it]
                                                         
{'loss': 2.3644, 'grad_norm': 5.204892158508301, 'learning_rate': 1.3864377746980473e-05, 'epoch': 0.06}

 66%|██████▋   | 6646/10000 [17:30:14<6:56:00,  7.44s/it]the number of masks: 8
seg_loss: 0.9614512920379639, dino_loss: 0.68359375, depth_loss: 0.06480619311332703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8988915681838989, dino_loss: 0.6796875, depth_loss: 0.0682535171508789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6647/10000 [17:30:23<7:14:39,  7.78s/it]
                                                         
{'loss': 2.4597, 'grad_norm': 7.540075778961182, 'learning_rate': 1.3856976438719626e-05, 'epoch': 0.06}

 66%|██████▋   | 6647/10000 [17:30:23<7:14:39,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8787147402763367, dino_loss: 0.6953125, depth_loss: 0.05703058838844299, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7925175428390503, dino_loss: 0.6796875, depth_loss: 0.05850137025117874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6648/10000 [17:30:32<7:35:47,  8.16s/it]
                                                         
{'loss': 2.5781, 'grad_norm': 3.979429006576538, 'learning_rate': 1.3849576349043087e-05, 'epoch': 0.06}

 66%|██████▋   | 6648/10000 [17:30:32<7:35:47,  8.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7484671473503113, dino_loss: 0.68359375, depth_loss: 0.06370248645544052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7959342002868652, dino_loss: 0.65234375, depth_loss: 0.05391707271337509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6649/10000 [17:30:41<7:46:26,  8.35s/it]
                                                         
{'loss': 2.4911, 'grad_norm': 4.577551364898682, 'learning_rate': 1.384217747876011e-05, 'epoch': 0.06}

 66%|██████▋   | 6649/10000 [17:30:41<7:46:26,  8.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5864757299423218, dino_loss: 0.6328125, depth_loss: 0.06301041692495346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8883589506149292, dino_loss: 0.7109375, depth_loss: 0.04671039432287216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 66%|██████▋   | 6650/10000 [17:30:48<7:26:33,  8.00s/it]
                                                         
{'loss': 1.884, 'grad_norm': 3.466019630432129, 'learning_rate': 1.383477982867984e-05, 'epoch': 0.06}

 66%|██████▋   | 6650/10000 [17:30:48<7:26:33,  8.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6433008909225464, dino_loss: 0.6796875, depth_loss: 0.07747838646173477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7136204242706299, dino_loss: 0.625, depth_loss: 0.0681765228509903, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6651/10000 [17:30:58<7:53:21,  8.48s/it]
                                                         
{'loss': 2.2366, 'grad_norm': 4.159086227416992, 'learning_rate': 1.3827383399611248e-05, 'epoch': 0.06}

 67%|██████▋   | 6651/10000 [17:30:58<7:53:21,  8.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8666590452194214, dino_loss: 0.66796875, depth_loss: 0.054945457726716995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7604496479034424, dino_loss: 0.7734375, depth_loss: 0.0655864030122757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6652/10000 [17:31:05<7:31:08,  8.09s/it]
                                                         
{'loss': 2.1907, 'grad_norm': 5.032107830047607, 'learning_rate': 1.3819988192363226e-05, 'epoch': 0.06}

 67%|██████▋   | 6652/10000 [17:31:05<7:31:08,  8.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6638830304145813, dino_loss: 0.66796875, depth_loss: 0.04103284329175949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8507344126701355, dino_loss: 0.77734375, depth_loss: 0.06487143039703369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6653/10000 [17:31:14<7:43:03,  8.30s/it]
                                                         
{'loss': 2.4036, 'grad_norm': 2.288601875305176, 'learning_rate': 1.3812594207744472e-05, 'epoch': 0.06}

 67%|██████▋   | 6653/10000 [17:31:14<7:43:03,  8.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.525719165802002, dino_loss: 0.63671875, depth_loss: 0.05372444540262222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.045175552368164, dino_loss: 0.70703125, depth_loss: 0.06842046976089478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6654/10000 [17:31:22<7:39:39,  8.24s/it]
                                                         
{'loss': 2.2521, 'grad_norm': 4.959178447723389, 'learning_rate': 1.3805201446563595e-05, 'epoch': 0.06}

 67%|██████▋   | 6654/10000 [17:31:22<7:39:39,  8.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9372598528862, dino_loss: 0.67578125, depth_loss: 0.06533362716436386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.650073766708374, dino_loss: 0.69140625, depth_loss: 0.07389278709888458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6655/10000 [17:31:30<7:36:37,  8.19s/it]
                                                         
{'loss': 2.4338, 'grad_norm': 10.130427360534668, 'learning_rate': 1.3797809909629058e-05, 'epoch': 0.06}

 67%|██████▋   | 6655/10000 [17:31:30<7:36:37,  8.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9355735182762146, dino_loss: 0.59765625, depth_loss: 0.05845482274889946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8678557276725769, dino_loss: 0.71875, depth_loss: 0.08511435985565186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6656/10000 [17:31:38<7:46:08,  8.36s/it]
                                                         
{'loss': 2.3066, 'grad_norm': 2.8816375732421875, 'learning_rate': 1.3790419597749199e-05, 'epoch': 0.06}

 67%|██████▋   | 6656/10000 [17:31:38<7:46:08,  8.36s/it]the number of masks: 7
the number of masks: 8
seg_loss: 0.6585699915885925, dino_loss: 0.0, depth_loss: 0.04843416437506676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7870173454284668, dino_loss: 0.6953125, depth_loss: 0.06046941503882408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6657/10000 [17:31:46<7:35:06,  8.17s/it]
                                                         
{'loss': 1.8406, 'grad_norm': 8.22860336303711, 'learning_rate': 1.3783030511732187e-05, 'epoch': 0.06}

 67%|██████▋   | 6657/10000 [17:31:46<7:35:06,  8.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7323576807975769, dino_loss: 0.6875, depth_loss: 0.07917565107345581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8898735046386719, dino_loss: 0.6640625, depth_loss: 0.06484285742044449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6658/10000 [17:31:55<7:49:12,  8.42s/it]
                                                         
{'loss': 2.6912, 'grad_norm': 3.3090720176696777, 'learning_rate': 1.3775642652386103e-05, 'epoch': 0.06}

 67%|██████▋   | 6658/10000 [17:31:55<7:49:12,  8.42s/it]the number of masks: 8
seg_loss: 1.1074039936065674, dino_loss: 0.69140625, depth_loss: 0.05700008571147919, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9071769714355469, dino_loss: 0.69140625, depth_loss: 0.06455564498901367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6659/10000 [17:32:04<7:59:55,  8.62s/it]
                                                         
{'loss': 2.4654, 'grad_norm': 5.01676607131958, 'learning_rate': 1.3768256020518854e-05, 'epoch': 0.06}

 67%|██████▋   | 6659/10000 [17:32:04<7:59:55,  8.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8017308712005615, dino_loss: 0.66015625, depth_loss: 0.05702643841505051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8231770396232605, dino_loss: 0.6875, depth_loss: 0.07676850259304047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6660/10000 [17:32:12<7:51:14,  8.47s/it]
                                                         
{'loss': 2.1896, 'grad_norm': 1.5734846591949463, 'learning_rate': 1.3760870616938248e-05, 'epoch': 0.06}

 67%|██████▋   | 6660/10000 [17:32:12<7:51:14,  8.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7553918361663818, dino_loss: 0.71875, depth_loss: 0.06406089663505554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9841100573539734, dino_loss: 0.68359375, depth_loss: 0.09137136489152908, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6661/10000 [17:32:22<8:03:21,  8.69s/it]
                                                         
{'loss': 2.2704, 'grad_norm': 4.39691162109375, 'learning_rate': 1.3753486442451919e-05, 'epoch': 0.06}

 67%|██████▋   | 6661/10000 [17:32:22<8:03:21,  8.69s/it]the number of masks: 8
seg_loss: 1.0045486688613892, dino_loss: 0.64453125, depth_loss: 0.054957203567028046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5590125322341919, dino_loss: 0.7265625, depth_loss: 0.058608800172805786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6662/10000 [17:32:27<7:03:23,  7.61s/it]
                                                         
{'loss': 1.6219, 'grad_norm': 5.487411975860596, 'learning_rate': 1.3746103497867418e-05, 'epoch': 0.06}

 67%|██████▋   | 6662/10000 [17:32:27<7:03:23,  7.61s/it]seg_loss: 0.0, dino_loss: 0.49609375, depth_loss: 0.04262262582778931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9357117414474487, dino_loss: 0.61328125, depth_loss: 0.0561714693903923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6663/10000 [17:32:32<6:22:53,  6.88s/it]
                                                         
{'loss': 1.5526, 'grad_norm': 9.105507850646973, 'learning_rate': 1.3738721783992112e-05, 'epoch': 0.06}

 67%|██████▋   | 6663/10000 [17:32:32<6:22:53,  6.88s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9183380603790283, dino_loss: 0.74609375, depth_loss: 0.0688224732875824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8125988245010376, dino_loss: 0.65234375, depth_loss: 0.07624571025371552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6664/10000 [17:32:39<6:30:32,  7.02s/it]
                                                         
{'loss': 1.9892, 'grad_norm': 4.04994010925293, 'learning_rate': 1.3731341301633268e-05, 'epoch': 0.06}

 67%|██████▋   | 6664/10000 [17:32:39<6:30:32,  7.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9034616947174072, dino_loss: 0.765625, depth_loss: 0.08052687346935272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9990617036819458, dino_loss: 0.69921875, depth_loss: 0.08518341928720474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6665/10000 [17:32:48<7:00:16,  7.56s/it]
                                                         
{'loss': 2.415, 'grad_norm': 4.412807464599609, 'learning_rate': 1.3723962051597988e-05, 'epoch': 0.06}

 67%|██████▋   | 6665/10000 [17:32:48<7:00:16,  7.56s/it]the number of masks: 8
seg_loss: 0.6854798793792725, dino_loss: 0.6640625, depth_loss: 0.11638258397579193, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.75359046459198, dino_loss: 0.65234375, depth_loss: 0.05815184861421585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6666/10000 [17:32:54<6:36:55,  7.14s/it]
                                                         
{'loss': 2.198, 'grad_norm': 4.893002033233643, 'learning_rate': 1.3716584034693266e-05, 'epoch': 0.06}

 67%|██████▋   | 6666/10000 [17:32:54<6:36:55,  7.14s/it]the number of masks: 8
seg_loss: 0.890729546546936, dino_loss: 0.70703125, depth_loss: 0.05718887597322464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8059864044189453, dino_loss: 0.65234375, depth_loss: 0.06191006302833557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6667/10000 [17:33:02<6:44:07,  7.28s/it]
                                                         
{'loss': 2.5041, 'grad_norm': 4.938801288604736, 'learning_rate': 1.3709207251725947e-05, 'epoch': 0.06}

 67%|██████▋   | 6667/10000 [17:33:02<6:44:07,  7.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9423902034759521, dino_loss: 0.67578125, depth_loss: 0.07209223508834839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8705893158912659, dino_loss: 0.0, depth_loss: 0.07335905730724335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6668/10000 [17:33:10<7:06:25,  7.68s/it]
                                                         
{'loss': 2.0294, 'grad_norm': 4.076253414154053, 'learning_rate': 1.370183170350276e-05, 'epoch': 0.06}

 67%|██████▋   | 6668/10000 [17:33:10<7:06:25,  7.68s/it]the number of masks: 8
seg_loss: 0.7508951425552368, dino_loss: 0.71875, depth_loss: 0.05301498994231224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.58984375, depth_loss: 0.11596964299678802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6669/10000 [17:33:15<6:20:13,  6.85s/it]
                                                         
{'loss': 2.2658, 'grad_norm': 2.313560724258423, 'learning_rate': 1.3694457390830261e-05, 'epoch': 0.06}

 67%|██████▋   | 6669/10000 [17:33:15<6:20:13,  6.85s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.7315796613693237, dino_loss: 0.515625, depth_loss: 0.03379660099744797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7969522476196289, dino_loss: 0.69921875, depth_loss: 0.06288966536521912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6670/10000 [17:33:25<7:11:49,  7.78s/it]
                                                         
{'loss': 2.6875, 'grad_norm': 6.691089630126953, 'learning_rate': 1.3687084314514907e-05, 'epoch': 0.06}

 67%|██████▋   | 6670/10000 [17:33:25<7:11:49,  7.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8861040472984314, dino_loss: 0.72265625, depth_loss: 0.052485451102256775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.8596391677856445, dino_loss: 0.62890625, depth_loss: 0.07052140682935715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6671/10000 [17:33:36<7:55:35,  8.57s/it]
                                                         
{'loss': 2.1186, 'grad_norm': 3.2706902027130127, 'learning_rate': 1.367971247536301e-05, 'epoch': 0.06}

 67%|██████▋   | 6671/10000 [17:33:36<7:55:35,  8.57s/it]the number of masks: 8
seg_loss: 1.0449215173721313, dino_loss: 0.7421875, depth_loss: 0.05921180173754692, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0148661136627197, dino_loss: 0.625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6672/10000 [17:33:43<7:32:38,  8.16s/it]
                                                         
{'loss': 2.6929, 'grad_norm': 3.358339309692383, 'learning_rate': 1.3672341874180728e-05, 'epoch': 0.06}

 67%|██████▋   | 6672/10000 [17:33:43<7:32:38,  8.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5677530765533447, dino_loss: 0.80859375, depth_loss: 0.09180346876382828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8543097376823425, dino_loss: 0.0, depth_loss: 0.05209140479564667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6673/10000 [17:33:51<7:26:21,  8.05s/it]
                                                         
{'loss': 1.8171, 'grad_norm': 3.018707513809204, 'learning_rate': 1.3664972511774116e-05, 'epoch': 0.06}

 67%|██████▋   | 6673/10000 [17:33:51<7:26:21,  8.05s/it]the number of masks: 8
seg_loss: 0.8465722799301147, dino_loss: 0.0, depth_loss: 0.039623480290174484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9948005676269531, dino_loss: 0.79296875, depth_loss: 0.08858579397201538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6674/10000 [17:33:57<6:55:57,  7.50s/it]
                                                         
{'loss': 2.4228, 'grad_norm': 4.037342071533203, 'learning_rate': 1.3657604388949048e-05, 'epoch': 0.06}

 67%|██████▋   | 6674/10000 [17:33:57<6:55:57,  7.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.912160336971283, dino_loss: 0.71875, depth_loss: 0.0463997982442379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.59765625, depth_loss: 0.059599146246910095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6675/10000 [17:34:04<6:43:59,  7.29s/it]
                                                         
{'loss': 2.1898, 'grad_norm': 5.869731903076172, 'learning_rate': 1.3650237506511331e-05, 'epoch': 0.06}

 67%|██████▋   | 6675/10000 [17:34:04<6:43:59,  7.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9622808694839478, dino_loss: 0.6640625, depth_loss: 0.06066465377807617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7720670700073242, dino_loss: 0.70703125, depth_loss: 0.057479750365018845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6676/10000 [17:34:12<7:05:59,  7.69s/it]
                                                         
{'loss': 1.9145, 'grad_norm': 2.7205984592437744, 'learning_rate': 1.3642871865266572e-05, 'epoch': 0.06}

 67%|██████▋   | 6676/10000 [17:34:12<7:05:59,  7.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8972107768058777, dino_loss: 0.7265625, depth_loss: 0.04997560381889343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6317764520645142, dino_loss: 0.625, depth_loss: 0.03917436674237251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6677/10000 [17:34:22<7:35:11,  8.22s/it]
                                                         
{'loss': 2.3296, 'grad_norm': 2.426811933517456, 'learning_rate': 1.3635507466020273e-05, 'epoch': 0.06}

 67%|██████▋   | 6677/10000 [17:34:22<7:35:11,  8.22s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6239915490150452, dino_loss: 0.71875, depth_loss: 0.0665578842163086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8440172672271729, dino_loss: 0.64453125, depth_loss: 0.0644732266664505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6678/10000 [17:34:30<7:39:23,  8.30s/it]
                                                         
{'loss': 1.7441, 'grad_norm': 2.4901981353759766, 'learning_rate': 1.3628144309577784e-05, 'epoch': 0.06}

 67%|██████▋   | 6678/10000 [17:34:30<7:39:23,  8.30s/it]the number of masks: 8
seg_loss: 0.3138734996318817, dino_loss: 0.0, depth_loss: 0.049514636397361755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0742186307907104, dino_loss: 0.73828125, depth_loss: 0.07003273069858551, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6679/10000 [17:34:37<7:16:20,  7.88s/it]
                                                         
{'loss': 2.0468, 'grad_norm': 5.540495872497559, 'learning_rate': 1.3620782396744346e-05, 'epoch': 0.06}

 67%|██████▋   | 6679/10000 [17:34:37<7:16:20,  7.88s/it]the number of masks: 4
the number of masks: 8
seg_loss: 0.5264538526535034, dino_loss: 0.6015625, depth_loss: 0.044725049287080765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6667210459709167, dino_loss: 0.6328125, depth_loss: 0.07095468044281006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6680/10000 [17:34:44<7:05:52,  7.70s/it]
                                                         
{'loss': 1.9034, 'grad_norm': 5.431072235107422, 'learning_rate': 1.3613421728325018e-05, 'epoch': 0.06}

 67%|██████▋   | 6680/10000 [17:34:44<7:05:52,  7.70s/it]the number of masks: 8
seg_loss: 0.7931902408599854, dino_loss: 0.73046875, depth_loss: 0.05431961268186569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5552554130554199, dino_loss: 0.486328125, depth_loss: 0.05214163288474083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6681/10000 [17:34:51<6:44:43,  7.32s/it]
                                                         
{'loss': 2.1648, 'grad_norm': 10.173666000366211, 'learning_rate': 1.3606062305124789e-05, 'epoch': 0.06}

 67%|██████▋   | 6681/10000 [17:34:51<6:44:43,  7.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.944567859172821, dino_loss: 0.56640625, depth_loss: 0.04960266873240471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7460982203483582, dino_loss: 0.68359375, depth_loss: 0.05455924943089485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6682/10000 [17:35:00<7:18:39,  7.93s/it]
                                                         
{'loss': 2.5538, 'grad_norm': 4.310715198516846, 'learning_rate': 1.3598704127948447e-05, 'epoch': 0.06}

 67%|██████▋   | 6682/10000 [17:35:00<7:18:39,  7.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7437742948532104, dino_loss: 0.66015625, depth_loss: 0.05053946375846863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.5546875, depth_loss: 0.0509718656539917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6683/10000 [17:35:07<6:57:00,  7.54s/it]
                                                         
{'loss': 2.0654, 'grad_norm': 1.573772668838501, 'learning_rate': 1.359134719760069e-05, 'epoch': 0.06}

 67%|██████▋   | 6683/10000 [17:35:07<6:57:00,  7.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7842516899108887, dino_loss: 0.6796875, depth_loss: 0.11010061204433441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8620065450668335, dino_loss: 0.68359375, depth_loss: 0.05989895015954971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6684/10000 [17:35:14<6:54:15,  7.50s/it]
                                                         
{'loss': 2.0154, 'grad_norm': 4.562710762023926, 'learning_rate': 1.3583991514886037e-05, 'epoch': 0.06}

 67%|██████▋   | 6684/10000 [17:35:14<6:54:15,  7.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0751756429672241, dino_loss: 0.67578125, depth_loss: 0.06936043500900269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7429780960083008, dino_loss: 0.73046875, depth_loss: 0.08253667503595352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6685/10000 [17:35:21<6:46:09,  7.35s/it]
                                                         
{'loss': 2.4172, 'grad_norm': 4.234879970550537, 'learning_rate': 1.3576637080608923e-05, 'epoch': 0.06}

 67%|██████▋   | 6685/10000 [17:35:21<6:46:09,  7.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.868453323841095, dino_loss: 0.67578125, depth_loss: 0.03916265815496445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0165719985961914, dino_loss: 0.71484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6686/10000 [17:35:29<6:55:47,  7.53s/it]
                                                         
{'loss': 2.5298, 'grad_norm': 2.981372833251953, 'learning_rate': 1.356928389557358e-05, 'epoch': 0.06}

 67%|██████▋   | 6686/10000 [17:35:29<6:55:47,  7.53s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0365405082702637, dino_loss: 0.72265625, depth_loss: 0.07253959774971008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0293314456939697, dino_loss: 0.6796875, depth_loss: 0.046941909939050674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6687/10000 [17:35:37<7:05:03,  7.70s/it]
                                                         
{'loss': 2.462, 'grad_norm': 7.397278785705566, 'learning_rate': 1.3561931960584185e-05, 'epoch': 0.06}

 67%|██████▋   | 6687/10000 [17:35:37<7:05:03,  7.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.938198983669281, dino_loss: 0.77734375, depth_loss: 0.08118347823619843, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9630030393600464, dino_loss: 0.65234375, depth_loss: 0.07302704453468323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6688/10000 [17:35:45<7:10:39,  7.80s/it]
                                                         
{'loss': 2.4876, 'grad_norm': 3.984812021255493, 'learning_rate': 1.3554581276444705e-05, 'epoch': 0.06}

 67%|██████▋   | 6688/10000 [17:35:45<7:10:39,  7.80s/it]seg_loss: 0.0, dino_loss: 0.6796875, depth_loss: 0.09374271333217621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8935889005661011, dino_loss: 0.65234375, depth_loss: 0.0573103167116642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6689/10000 [17:35:50<6:17:35,  6.84s/it]
                                                         
{'loss': 2.1906, 'grad_norm': 4.519969940185547, 'learning_rate': 1.3547231843959018e-05, 'epoch': 0.06}

 67%|██████▋   | 6689/10000 [17:35:50<6:17:35,  6.84s/it]seg_loss: 0.0, dino_loss: 0.66796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.5593035221099854, dino_loss: 0.67578125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6690/10000 [17:35:54<5:36:18,  6.10s/it]
                                                         
{'loss': 2.3938, 'grad_norm': 7.7303996086120605, 'learning_rate': 1.353988366393083e-05, 'epoch': 0.06}

 67%|██████▋   | 6690/10000 [17:35:54<5:36:18,  6.10s/it]seg_loss: 0.0, dino_loss: 0.859375, depth_loss: 0.06608995050191879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.59375, depth_loss: 0.0660482794046402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6691/10000 [17:35:58<4:51:38,  5.29s/it]
                                                         
{'loss': 1.5604, 'grad_norm': 1.5980113744735718, 'learning_rate': 1.353253673716373e-05, 'epoch': 0.06}

 67%|██████▋   | 6691/10000 [17:35:58<4:51:38,  5.29s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9544605016708374, dino_loss: 0.671875, depth_loss: 0.09257134050130844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.37310317158699036, dino_loss: 0.490234375, depth_loss: 0.06358356028795242, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6692/10000 [17:36:04<5:12:48,  5.67s/it]
                                                         
{'loss': 1.7359, 'grad_norm': 2.9618914127349854, 'learning_rate': 1.3525191064461185e-05, 'epoch': 0.06}

 67%|██████▋   | 6692/10000 [17:36:04<5:12:48,  5.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8797956705093384, dino_loss: 0.6484375, depth_loss: 0.06749649345874786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9411800503730774, dino_loss: 0.69140625, depth_loss: 0.08814214915037155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6693/10000 [17:36:12<5:47:44,  6.31s/it]
                                                         
{'loss': 2.6451, 'grad_norm': 8.369169235229492, 'learning_rate': 1.351784664662648e-05, 'epoch': 0.06}

 67%|██████▋   | 6693/10000 [17:36:12<5:47:44,  6.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8834357261657715, dino_loss: 0.75, depth_loss: 0.06302307546138763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0357134342193604, dino_loss: 0.6875, depth_loss: 0.06710779666900635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6694/10000 [17:36:22<6:39:30,  7.25s/it]
                                                         
{'loss': 2.4622, 'grad_norm': 2.807729482650757, 'learning_rate': 1.3510503484462805e-05, 'epoch': 0.06}

 67%|██████▋   | 6694/10000 [17:36:22<6:39:30,  7.25s/it]the number of masks: 2
the number of masks: 8
the number of masks: 8
seg_loss: 0.4951811730861664, dino_loss: 0.6171875, depth_loss: 0.05884338542819023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9193340539932251, dino_loss: 0.75, depth_loss: 0.06088803708553314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6695/10000 [17:36:30<6:59:36,  7.62s/it]
                                                         
{'loss': 2.346, 'grad_norm': 4.781005382537842, 'learning_rate': 1.3503161578773193e-05, 'epoch': 0.06}

 67%|██████▋   | 6695/10000 [17:36:30<6:59:36,  7.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8587639331817627, dino_loss: 0.703125, depth_loss: 0.058357708156108856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.77734375, depth_loss: 0.05930369719862938, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6696/10000 [17:36:37<6:52:01,  7.48s/it]
                                                         
{'loss': 1.89, 'grad_norm': 2.262437105178833, 'learning_rate': 1.3495820930360559e-05, 'epoch': 0.06}

 67%|██████▋   | 6696/10000 [17:36:37<6:52:01,  7.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6927365064620972, dino_loss: 0.625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8633260726928711, dino_loss: 0.72265625, depth_loss: 0.06212446093559265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6697/10000 [17:36:46<7:17:26,  7.95s/it]
                                                         
{'loss': 2.1461, 'grad_norm': 2.44909405708313, 'learning_rate': 1.3488481540027637e-05, 'epoch': 0.06}

 67%|██████▋   | 6697/10000 [17:36:46<7:17:26,  7.95s/it]the number of masks: 8
seg_loss: 0.8007791638374329, dino_loss: 0.69140625, depth_loss: 0.0408063642680645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0384533405303955, dino_loss: 0.61328125, depth_loss: 0.07871899753808975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6698/10000 [17:36:53<7:00:28,  7.64s/it]
                                                         
{'loss': 2.5, 'grad_norm': 12.25643253326416, 'learning_rate': 1.3481143408577079e-05, 'epoch': 0.06}

 67%|██████▋   | 6698/10000 [17:36:53<7:00:28,  7.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.739597737789154, dino_loss: 0.6171875, depth_loss: 0.04840363189578056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7995321154594421, dino_loss: 0.68359375, depth_loss: 0.04618971794843674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6699/10000 [17:37:03<7:43:20,  8.42s/it]
                                                         
{'loss': 2.3853, 'grad_norm': 4.681345462799072, 'learning_rate': 1.347380653681134e-05, 'epoch': 0.06}

 67%|██████▋   | 6699/10000 [17:37:03<7:43:20,  8.42s/it]the number of masks: 8
seg_loss: 0.7254551649093628, dino_loss: 0.703125, depth_loss: 0.035342179238796234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8483024835586548, dino_loss: 0.640625, depth_loss: 0.07129659503698349, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6700/10000 [17:37:11<7:25:35,  8.10s/it]
                                                         
{'loss': 1.8218, 'grad_norm': 9.395800590515137, 'learning_rate': 1.346647092553281e-05, 'epoch': 0.06}

 67%|██████▋   | 6700/10000 [17:37:11<7:25:35,  8.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8512489199638367, dino_loss: 0.703125, depth_loss: 0.044163819402456284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7249089479446411, dino_loss: 0.63671875, depth_loss: 0.05823924392461777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6701/10000 [17:37:19<7:28:23,  8.16s/it]
                                                         
{'loss': 2.2711, 'grad_norm': 3.6953868865966797, 'learning_rate': 1.3459136575543663e-05, 'epoch': 0.06}

 67%|██████▋   | 6701/10000 [17:37:19<7:28:23,  8.16s/it]the number of masks: 8
seg_loss: 0.3777700662612915, dino_loss: 0.55078125, depth_loss: 0.03589707240462303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7976821660995483, dino_loss: 0.66015625, depth_loss: 0.049050506204366684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6702/10000 [17:37:26<7:11:05,  7.84s/it]
                                                         
{'loss': 1.6269, 'grad_norm': 4.897243499755859, 'learning_rate': 1.3451803487646003e-05, 'epoch': 0.06}

 67%|██████▋   | 6702/10000 [17:37:26<7:11:05,  7.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6924507021903992, dino_loss: 0.7109375, depth_loss: 0.05466301739215851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6912128925323486, dino_loss: 0.5078125, depth_loss: 0.0646761953830719, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6703/10000 [17:37:35<7:30:37,  8.20s/it]
                                                         
{'loss': 1.6526, 'grad_norm': 4.148277759552002, 'learning_rate': 1.3444471662641742e-05, 'epoch': 0.06}

 67%|██████▋   | 6703/10000 [17:37:35<7:30:37,  8.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8990553617477417, dino_loss: 0.703125, depth_loss: 0.056269820779561996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.069637656211853, dino_loss: 0.70703125, depth_loss: 0.09016618877649307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6704/10000 [17:37:43<7:26:21,  8.13s/it]
                                                         
{'loss': 2.4975, 'grad_norm': 7.332465171813965, 'learning_rate': 1.3437141101332695e-05, 'epoch': 0.06}

 67%|██████▋   | 6704/10000 [17:37:43<7:26:21,  8.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.61129230260849, dino_loss: 0.58203125, depth_loss: 0.058861877769231796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7828388214111328, dino_loss: 0.7421875, depth_loss: 0.0685250535607338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6705/10000 [17:37:52<7:32:56,  8.25s/it]
                                                         
{'loss': 1.8216, 'grad_norm': 4.996962547302246, 'learning_rate': 1.3429811804520492e-05, 'epoch': 0.06}

 67%|██████▋   | 6705/10000 [17:37:52<7:32:56,  8.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8715397715568542, dino_loss: 0.734375, depth_loss: 0.06279346346855164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.922581136226654, dino_loss: 0.72265625, depth_loss: 0.06521956622600555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6706/10000 [17:38:03<8:21:14,  9.13s/it]
                                                         
{'loss': 2.1926, 'grad_norm': 3.486788749694824, 'learning_rate': 1.3422483773006697e-05, 'epoch': 0.06}

 67%|██████▋   | 6706/10000 [17:38:03<8:21:14,  9.13s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5515632629394531, dino_loss: 0.71875, depth_loss: 0.04930458590388298, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66015625, depth_loss: 0.06075054407119751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6707/10000 [17:38:11<8:00:38,  8.76s/it]
                                                         
{'loss': 2.0034, 'grad_norm': 5.07975959777832, 'learning_rate': 1.341515700759266e-05, 'epoch': 0.06}

 67%|██████▋   | 6707/10000 [17:38:11<8:00:38,  8.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0389084815979004, dino_loss: 0.734375, depth_loss: 0.0702822357416153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9267653226852417, dino_loss: 0.71484375, depth_loss: 0.049604471772909164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6708/10000 [17:38:19<7:46:11,  8.50s/it]
                                                         
{'loss': 2.3616, 'grad_norm': 4.3857421875, 'learning_rate': 1.3407831509079644e-05, 'epoch': 0.06}

 67%|██████▋   | 6708/10000 [17:38:19<7:46:11,  8.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9155594110488892, dino_loss: 0.734375, depth_loss: 0.06282874196767807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8412630558013916, dino_loss: 0.703125, depth_loss: 0.06586191058158875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6709/10000 [17:38:27<7:40:28,  8.40s/it]
                                                         
{'loss': 2.0997, 'grad_norm': 6.358922004699707, 'learning_rate': 1.3400507278268733e-05, 'epoch': 0.06}

 67%|██████▋   | 6709/10000 [17:38:27<7:40:28,  8.40s/it]the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.8659491539001465, dino_loss: 0.67578125, depth_loss: 0.0408344641327858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5746215581893921, dino_loss: 0.671875, depth_loss: 0.052216075360774994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6710/10000 [17:38:35<7:32:00,  8.24s/it]
                                                         
{'loss': 2.2105, 'grad_norm': 4.913393974304199, 'learning_rate': 1.3393184315960918e-05, 'epoch': 0.06}

 67%|██████▋   | 6710/10000 [17:38:35<7:32:00,  8.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8464261889457703, dino_loss: 0.671875, depth_loss: 0.07235224545001984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.937371015548706, dino_loss: 0.67578125, depth_loss: 0.050438761711120605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6711/10000 [17:38:43<7:40:09,  8.39s/it]
                                                         
{'loss': 2.2795, 'grad_norm': 3.6948893070220947, 'learning_rate': 1.3385862622957008e-05, 'epoch': 0.06}

 67%|██████▋   | 6711/10000 [17:38:43<7:40:09,  8.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7193143367767334, dino_loss: 0.640625, depth_loss: 0.0814836174249649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7922849655151367, dino_loss: 0.71484375, depth_loss: 0.03856657072901726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6712/10000 [17:38:52<7:44:17,  8.47s/it]
                                                         
{'loss': 1.6747, 'grad_norm': 2.1938607692718506, 'learning_rate': 1.3378542200057697e-05, 'epoch': 0.06}

 67%|██████▋   | 6712/10000 [17:38:52<7:44:17,  8.47s/it]the number of masks: 8
seg_loss: 1.1139260530471802, dino_loss: 0.6796875, depth_loss: 0.10646496713161469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9273463487625122, dino_loss: 0.6640625, depth_loss: 0.07512568682432175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6713/10000 [17:38:58<6:56:41,  7.61s/it]
                                                         
{'loss': 2.8069, 'grad_norm': 5.412569999694824, 'learning_rate': 1.337122304806354e-05, 'epoch': 0.06}

 67%|██████▋   | 6713/10000 [17:38:58<6:56:41,  7.61s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9070069789886475, dino_loss: 0.66796875, depth_loss: 0.06991621851921082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.035909652709961, dino_loss: 0.671875, depth_loss: 0.07460510730743408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6714/10000 [17:39:05<6:47:55,  7.45s/it]
                                                         
{'loss': 2.2429, 'grad_norm': 7.861708164215088, 'learning_rate': 1.336390516777496e-05, 'epoch': 0.06}

 67%|██████▋   | 6714/10000 [17:39:05<6:47:55,  7.45s/it]the number of masks: 8
seg_loss: 0.8487808704376221, dino_loss: 0.703125, depth_loss: 0.05087568610906601, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8395528197288513, dino_loss: 0.6953125, depth_loss: 0.0576074942946434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6715/10000 [17:39:10<6:13:48,  6.83s/it]
                                                         
{'loss': 2.2977, 'grad_norm': 3.776423215866089, 'learning_rate': 1.33565885599922e-05, 'epoch': 0.06}

 67%|██████▋   | 6715/10000 [17:39:10<6:13:48,  6.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0358880758285522, dino_loss: 0.67578125, depth_loss: 0.07696541398763657, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9198288917541504, dino_loss: 0.6640625, depth_loss: 0.049074769020080566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6716/10000 [17:39:18<6:30:47,  7.14s/it]
                                                         
{'loss': 2.7687, 'grad_norm': 3.1470494270324707, 'learning_rate': 1.3349273225515413e-05, 'epoch': 0.06}

 67%|██████▋   | 6716/10000 [17:39:18<6:30:47,  7.14s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0018965005874634, dino_loss: 0.640625, depth_loss: 0.06602571904659271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8408498764038086, dino_loss: 0.66015625, depth_loss: 0.061375826597213745, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6717/10000 [17:39:25<6:31:28,  7.15s/it]
                                                         
{'loss': 2.8166, 'grad_norm': 7.225902557373047, 'learning_rate': 1.3341959165144599e-05, 'epoch': 0.06}

 67%|██████▋   | 6717/10000 [17:39:25<6:31:28,  7.15s/it]the number of masks: 8
seg_loss: 1.0527637004852295, dino_loss: 0.78125, depth_loss: 0.0835818499326706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8748710751533508, dino_loss: 0.73046875, depth_loss: 0.044227998703718185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6718/10000 [17:39:31<6:08:49,  6.74s/it]
                                                         
{'loss': 2.5204, 'grad_norm': 6.185116291046143, 'learning_rate': 1.3334646379679583e-05, 'epoch': 0.06}

 67%|██████▋   | 6718/10000 [17:39:31<6:08:49,  6.74s/it]the number of masks: 8
seg_loss: 0.9130779504776001, dino_loss: 0.77734375, depth_loss: 0.07817364484071732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9789059162139893, dino_loss: 0.6328125, depth_loss: 0.06286346912384033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6719/10000 [17:39:38<6:17:53,  6.91s/it]
                                                         
{'loss': 2.4476, 'grad_norm': 3.5091652870178223, 'learning_rate': 1.3327334869920121e-05, 'epoch': 0.06}

 67%|██████▋   | 6719/10000 [17:39:38<6:17:53,  6.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9873225092887878, dino_loss: 0.73828125, depth_loss: 0.05254469811916351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7236972451210022, dino_loss: 0.78515625, depth_loss: 0.06594434380531311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6720/10000 [17:39:45<6:23:15,  7.01s/it]
                                                         
{'loss': 2.1355, 'grad_norm': 5.46437931060791, 'learning_rate': 1.3320024636665757e-05, 'epoch': 0.06}

 67%|██████▋   | 6720/10000 [17:39:45<6:23:15,  7.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.889423131942749, dino_loss: 0.74609375, depth_loss: 0.08109668642282486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6542830467224121, dino_loss: 0.6640625, depth_loss: 0.05196685716509819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6721/10000 [17:39:56<7:12:43,  7.92s/it]
                                                         
{'loss': 2.5627, 'grad_norm': 3.542346715927124, 'learning_rate': 1.3312715680715948e-05, 'epoch': 0.06}

 67%|██████▋   | 6721/10000 [17:39:56<7:12:43,  7.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9497051239013672, dino_loss: 0.671875, depth_loss: 0.09762869030237198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7598532438278198, dino_loss: 0.71484375, depth_loss: 0.06610513478517532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6722/10000 [17:40:04<7:22:56,  8.11s/it]
                                                         
{'loss': 2.0668, 'grad_norm': 3.2476933002471924, 'learning_rate': 1.3305408002869971e-05, 'epoch': 0.06}

 67%|██████▋   | 6722/10000 [17:40:04<7:22:56,  8.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9008516073226929, dino_loss: 0.703125, depth_loss: 0.08546024560928345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8137109279632568, dino_loss: 0.73046875, depth_loss: 0.10239443928003311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6723/10000 [17:40:13<7:39:57,  8.42s/it]
                                                         
{'loss': 2.411, 'grad_norm': 3.1255509853363037, 'learning_rate': 1.3298101603927002e-05, 'epoch': 0.06}

 67%|██████▋   | 6723/10000 [17:40:13<7:39:57,  8.42s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8422802686691284, dino_loss: 0.65234375, depth_loss: 0.03944165259599686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9003849029541016, dino_loss: 0.703125, depth_loss: 0.07009856402873993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6724/10000 [17:40:21<7:24:06,  8.13s/it]
                                                         
{'loss': 2.1751, 'grad_norm': 3.8334414958953857, 'learning_rate': 1.3290796484686038e-05, 'epoch': 0.06}

 67%|██████▋   | 6724/10000 [17:40:21<7:24:06,  8.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0184189081192017, dino_loss: 0.62890625, depth_loss: 0.06235209107398987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7600610852241516, dino_loss: 0.67578125, depth_loss: 0.05289798974990845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6725/10000 [17:40:30<7:36:28,  8.36s/it]
                                                         
{'loss': 2.0883, 'grad_norm': 3.596374034881592, 'learning_rate': 1.3283492645945966e-05, 'epoch': 0.06}

 67%|██████▋   | 6725/10000 [17:40:30<7:36:28,  8.36s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8733080625534058, dino_loss: 0.73046875, depth_loss: 0.06421742588281631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.2020981311798096, dino_loss: 0.71875, depth_loss: 0.08341187983751297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6726/10000 [17:40:35<6:56:20,  7.63s/it]
                                                         
{'loss': 2.5753, 'grad_norm': 3.6237332820892334, 'learning_rate': 1.3276190088505525e-05, 'epoch': 0.06}

 67%|██████▋   | 6726/10000 [17:40:35<6:56:20,  7.63s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7616597414016724, dino_loss: 0.6640625, depth_loss: 0.05376690626144409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8447780609130859, dino_loss: 0.64453125, depth_loss: 0.0788269191980362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6727/10000 [17:40:43<6:55:10,  7.61s/it]
                                                         
{'loss': 2.3907, 'grad_norm': 2.0802717208862305, 'learning_rate': 1.3268888813163317e-05, 'epoch': 0.06}

 67%|██████▋   | 6727/10000 [17:40:43<6:55:10,  7.61s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9846470355987549, dino_loss: 0.671875, depth_loss: 0.053826771676540375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7858836054801941, dino_loss: 0.5078125, depth_loss: 0.04851013422012329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6728/10000 [17:40:51<7:05:19,  7.80s/it]
                                                         
{'loss': 2.3055, 'grad_norm': 4.618504524230957, 'learning_rate': 1.3261588820717779e-05, 'epoch': 0.06}

 67%|██████▋   | 6728/10000 [17:40:51<7:05:19,  7.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9683805704116821, dino_loss: 0.703125, depth_loss: 0.0677187591791153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5141441822052002, dino_loss: 0.63671875, depth_loss: 0.04215952381491661, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6729/10000 [17:40:59<7:01:19,  7.73s/it]
                                                         
{'loss': 1.895, 'grad_norm': 2.7986109256744385, 'learning_rate': 1.3254290111967255e-05, 'epoch': 0.06}

 67%|██████▋   | 6729/10000 [17:40:59<7:01:19,  7.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7725701332092285, dino_loss: 0.7890625, depth_loss: 0.04535212367773056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0428149700164795, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6730/10000 [17:41:07<7:00:47,  7.72s/it]
                                                         
{'loss': 1.6694, 'grad_norm': 6.170854568481445, 'learning_rate': 1.3246992687709889e-05, 'epoch': 0.06}

 67%|██████▋   | 6730/10000 [17:41:07<7:00:47,  7.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.873448371887207, dino_loss: 0.65625, depth_loss: 0.07414282858371735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0062388181686401, dino_loss: 0.6875, depth_loss: 0.07521773874759674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6731/10000 [17:41:13<6:38:30,  7.31s/it]
                                                         
{'loss': 2.6097, 'grad_norm': 4.635559558868408, 'learning_rate': 1.3239696548743736e-05, 'epoch': 0.06}

 67%|██████▋   | 6731/10000 [17:41:13<6:38:30,  7.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7207432985305786, dino_loss: 0.5703125, depth_loss: 0.05719860643148422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9362725615501404, dino_loss: 0.71875, depth_loss: 0.06871601939201355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6732/10000 [17:41:21<6:51:18,  7.55s/it]
                                                         
{'loss': 2.1029, 'grad_norm': 4.327731609344482, 'learning_rate': 1.3232401695866687e-05, 'epoch': 0.06}

 67%|██████▋   | 6732/10000 [17:41:21<6:51:18,  7.55s/it]the number of masks: 5
the number of masks: 8
seg_loss: 0.7576503157615662, dino_loss: 0.61328125, depth_loss: 0.04243049398064613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7779396772384644, dino_loss: 0.62109375, depth_loss: 0.05116438865661621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6733/10000 [17:41:28<6:47:32,  7.48s/it]
                                                         
{'loss': 2.1466, 'grad_norm': 3.452709436416626, 'learning_rate': 1.32251081298765e-05, 'epoch': 0.06}

 67%|██████▋   | 6733/10000 [17:41:28<6:47:32,  7.48s/it]the number of masks: 8
seg_loss: 1.106053352355957, dino_loss: 0.64453125, depth_loss: 0.03325651213526726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7426352500915527, dino_loss: 0.6875, depth_loss: 0.06868870556354523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6734/10000 [17:41:35<6:33:02,  7.22s/it]
                                                         
{'loss': 2.7571, 'grad_norm': 4.5186052322387695, 'learning_rate': 1.321781585157078e-05, 'epoch': 0.06}

 67%|██████▋   | 6734/10000 [17:41:35<6:33:02,  7.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9825239181518555, dino_loss: 0.0, depth_loss: 0.06718584895133972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.721422553062439, dino_loss: 0.67578125, depth_loss: 0.05468760430812836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6735/10000 [17:41:44<6:57:28,  7.67s/it]
                                                         
{'loss': 1.6797, 'grad_norm': 5.45328950881958, 'learning_rate': 1.3210524861747015e-05, 'epoch': 0.06}

 67%|██████▋   | 6735/10000 [17:41:44<6:57:28,  7.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7887157201766968, dino_loss: 0.6796875, depth_loss: 0.07019990682601929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9544121623039246, dino_loss: 0.6875, depth_loss: 0.05666067823767662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6736/10000 [17:41:52<7:10:59,  7.92s/it]
                                                         
{'loss': 2.6066, 'grad_norm': 3.9979007244110107, 'learning_rate': 1.3203235161202515e-05, 'epoch': 0.06}

 67%|██████▋   | 6736/10000 [17:41:52<7:10:59,  7.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9589507579803467, dino_loss: 0.6953125, depth_loss: 0.051702506840229034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8409236073493958, dino_loss: 0.6640625, depth_loss: 0.05798567086458206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6737/10000 [17:42:00<7:03:18,  7.78s/it]
                                                         
{'loss': 2.4884, 'grad_norm': 5.838160037994385, 'learning_rate': 1.3195946750734484e-05, 'epoch': 0.06}

 67%|██████▋   | 6737/10000 [17:42:00<7:03:18,  7.78s/it]the number of masks: 8
seg_loss: 0.8199189901351929, dino_loss: 0.640625, depth_loss: 0.03623637557029724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 2
seg_loss: 0.6668728590011597, dino_loss: 0.6640625, depth_loss: 0.06312394142150879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6738/10000 [17:42:08<7:09:08,  7.89s/it]
                                                         
{'loss': 1.9697, 'grad_norm': 5.236480712890625, 'learning_rate': 1.3188659631139966e-05, 'epoch': 0.06}

 67%|██████▋   | 6738/10000 [17:42:08<7:09:08,  7.89s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.126598834991455, dino_loss: 0.68359375, depth_loss: 0.06582042574882507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5970830917358398, dino_loss: 0.671875, depth_loss: 0.04195224493741989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6739/10000 [17:42:15<6:58:09,  7.69s/it]
                                                         
{'loss': 2.2098, 'grad_norm': 3.843898296356201, 'learning_rate': 1.3181373803215874e-05, 'epoch': 0.06}

 67%|██████▋   | 6739/10000 [17:42:15<6:58:09,  7.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9747304916381836, dino_loss: 0.703125, depth_loss: 0.06626372784376144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0715835094451904, dino_loss: 0.7109375, depth_loss: 0.05715864151716232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6740/10000 [17:42:24<7:26:38,  8.22s/it]
                                                         
{'loss': 2.6532, 'grad_norm': 5.220137119293213, 'learning_rate': 1.3174089267758983e-05, 'epoch': 0.06}

 67%|██████▋   | 6740/10000 [17:42:24<7:26:38,  8.22s/it]the number of masks: 8
seg_loss: 0.9643897414207458, dino_loss: 0.66796875, depth_loss: 0.07878299802541733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8328099250793457, dino_loss: 0.71875, depth_loss: 0.04463372379541397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6741/10000 [17:42:31<7:06:10,  7.85s/it]
                                                         
{'loss': 2.5925, 'grad_norm': 7.312572956085205, 'learning_rate': 1.3166806025565898e-05, 'epoch': 0.06}

 67%|██████▋   | 6741/10000 [17:42:31<7:06:10,  7.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8475673198699951, dino_loss: 0.6328125, depth_loss: 0.05142734572291374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8714191317558289, dino_loss: 0.671875, depth_loss: 0.051292188465595245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6742/10000 [17:42:40<7:17:00,  8.05s/it]
                                                         
{'loss': 2.3482, 'grad_norm': 3.466684579849243, 'learning_rate': 1.3159524077433127e-05, 'epoch': 0.06}

 67%|██████▋   | 6742/10000 [17:42:40<7:17:00,  8.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9081594347953796, dino_loss: 0.69921875, depth_loss: 0.050393037497997284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9012537598609924, dino_loss: 0.0, depth_loss: 0.06167052313685417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6743/10000 [17:42:49<7:39:08,  8.46s/it]
                                                         
{'loss': 1.8843, 'grad_norm': 4.0336198806762695, 'learning_rate': 1.315224342415699e-05, 'epoch': 0.06}

 67%|██████▋   | 6743/10000 [17:42:49<7:39:08,  8.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5585082173347473, dino_loss: 0.7265625, depth_loss: 0.061357736587524414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8432157635688782, dino_loss: 0.67578125, depth_loss: 0.046031512320041656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6744/10000 [17:42:57<7:22:18,  8.15s/it]
                                                         
{'loss': 1.7479, 'grad_norm': 7.900094032287598, 'learning_rate': 1.31449640665337e-05, 'epoch': 0.06}

 67%|██████▋   | 6744/10000 [17:42:57<7:22:18,  8.15s/it]the number of masks: 8
seg_loss: 0.9138204455375671, dino_loss: 0.69140625, depth_loss: 0.08675278723239899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7024718523025513, dino_loss: 0.69921875, depth_loss: 0.05303777754306793, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6745/10000 [17:43:04<7:13:50,  8.00s/it]
                                                         
{'loss': 1.9744, 'grad_norm': 13.948092460632324, 'learning_rate': 1.3137686005359318e-05, 'epoch': 0.06}

 67%|██████▋   | 6745/10000 [17:43:04<7:13:50,  8.00s/it]the number of masks: 8
seg_loss: 0.664376437664032, dino_loss: 0.6640625, depth_loss: 0.09050218760967255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9117106795310974, dino_loss: 0.68359375, depth_loss: 0.07393670082092285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6746/10000 [17:43:11<6:53:06,  7.62s/it]
                                                         
{'loss': 2.3022, 'grad_norm': 3.4355990886688232, 'learning_rate': 1.3130409241429767e-05, 'epoch': 0.06}

 67%|██████▋   | 6746/10000 [17:43:11<6:53:06,  7.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8787964582443237, dino_loss: 0.0, depth_loss: 0.08823849260807037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8765286803245544, dino_loss: 0.578125, depth_loss: 0.061770759522914886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6747/10000 [17:43:20<7:13:11,  7.99s/it]
                                                         
{'loss': 2.0483, 'grad_norm': 2.6463842391967773, 'learning_rate': 1.3123133775540809e-05, 'epoch': 0.06}

 67%|██████▋   | 6747/10000 [17:43:20<7:13:11,  7.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9345573782920837, dino_loss: 0.71484375, depth_loss: 0.06450183689594269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8913297653198242, dino_loss: 0.69140625, depth_loss: 0.04933297634124756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6748/10000 [17:43:30<7:44:40,  8.57s/it]
                                                         
{'loss': 2.5005, 'grad_norm': 3.319127082824707, 'learning_rate': 1.311585960848809e-05, 'epoch': 0.06}

 67%|██████▋   | 6748/10000 [17:43:30<7:44:40,  8.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.896247148513794, dino_loss: 0.69921875, depth_loss: 0.04936448857188225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8965973258018494, dino_loss: 0.59765625, depth_loss: 0.04517621174454689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 67%|██████▋   | 6749/10000 [17:43:39<7:47:55,  8.64s/it]
                                                         
{'loss': 2.638, 'grad_norm': 2.6843512058258057, 'learning_rate': 1.3108586741067086e-05, 'epoch': 0.06}

 67%|██████▋   | 6749/10000 [17:43:39<7:47:55,  8.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.2898259162902832, dino_loss: 0.74609375, depth_loss: 0.07104597985744476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0141029357910156, dino_loss: 0.671875, depth_loss: 0.05893638730049133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6750/10000 [17:43:45<7:11:57,  7.97s/it]
                                                         
{'loss': 2.6434, 'grad_norm': 11.485901832580566, 'learning_rate': 1.3101315174073162e-05, 'epoch': 0.06}

 68%|██████▊   | 6750/10000 [17:43:45<7:11:57,  7.97s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8623309135437012, dino_loss: 0.71875, depth_loss: 0.05429324507713318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6953125, depth_loss: 0.06826163828372955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6751/10000 [17:43:51<6:29:58,  7.20s/it]
                                                         
{'loss': 1.8708, 'grad_norm': 1.9956883192062378, 'learning_rate': 1.309404490830152e-05, 'epoch': 0.06}

 68%|██████▊   | 6751/10000 [17:43:51<6:29:58,  7.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9875620603561401, dino_loss: 0.78125, depth_loss: 0.05793372541666031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.8836552500724792, dino_loss: 0.71875, depth_loss: 0.06155930086970329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6752/10000 [17:44:01<7:14:59,  8.04s/it]
                                                         
{'loss': 2.4442, 'grad_norm': 4.049040794372559, 'learning_rate': 1.3086775944547236e-05, 'epoch': 0.06}

 68%|██████▊   | 6752/10000 [17:44:01<7:14:59,  8.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8500143885612488, dino_loss: 0.5625, depth_loss: 0.07536963373422623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.2022035121917725, dino_loss: 0.74609375, depth_loss: 0.0635572224855423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6753/10000 [17:44:09<7:20:27,  8.14s/it]
                                                         
{'loss': 2.7814, 'grad_norm': 4.61032772064209, 'learning_rate': 1.3079508283605212e-05, 'epoch': 0.06}

 68%|██████▊   | 6753/10000 [17:44:09<7:20:27,  8.14s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0007951259613037, dino_loss: 0.67578125, depth_loss: 0.07441717386245728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9496490955352783, dino_loss: 0.7265625, depth_loss: 0.06091677397489548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6754/10000 [17:44:17<7:21:29,  8.16s/it]
                                                         
{'loss': 2.298, 'grad_norm': 3.6996560096740723, 'learning_rate': 1.307224192627025e-05, 'epoch': 0.06}

 68%|██████▊   | 6754/10000 [17:44:17<7:21:29,  8.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8889381885528564, dino_loss: 0.81640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9273858666419983, dino_loss: 0.73828125, depth_loss: 0.07808266580104828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6755/10000 [17:44:27<7:40:39,  8.52s/it]
                                                         
{'loss': 2.6949, 'grad_norm': 2.7113730907440186, 'learning_rate': 1.306497687333697e-05, 'epoch': 0.06}

 68%|██████▊   | 6755/10000 [17:44:27<7:40:39,  8.52s/it]the number of masks: 8
seg_loss: 0.4748680889606476, dino_loss: 0.494140625, depth_loss: 0.056808196008205414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.783085286617279, dino_loss: 0.6796875, depth_loss: 0.05454636365175247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6756/10000 [17:44:33<7:09:34,  7.95s/it]
                                                         
{'loss': 2.1756, 'grad_norm': 4.238222599029541, 'learning_rate': 1.3057713125599874e-05, 'epoch': 0.06}

 68%|██████▊   | 6756/10000 [17:44:33<7:09:34,  7.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7336894273757935, dino_loss: 0.69140625, depth_loss: 0.06805054843425751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8944576978683472, dino_loss: 0.7421875, depth_loss: 0.0654766708612442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6757/10000 [17:44:44<7:48:52,  8.67s/it]
                                                         
{'loss': 2.5932, 'grad_norm': 4.368277072906494, 'learning_rate': 1.3050450683853319e-05, 'epoch': 0.06}

 68%|██████▊   | 6757/10000 [17:44:44<7:48:52,  8.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9872217178344727, dino_loss: 0.625, depth_loss: 0.10431228578090668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
seg_loss: 0.6018598675727844, dino_loss: 0.76171875, depth_loss: 0.10010707378387451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6758/10000 [17:44:50<7:21:04,  8.16s/it]
                                                         
{'loss': 2.1742, 'grad_norm': 2.815119743347168, 'learning_rate': 1.3043189548891516e-05, 'epoch': 0.06}

 68%|██████▊   | 6758/10000 [17:44:50<7:21:04,  8.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0712995529174805, dino_loss: 0.78125, depth_loss: 0.06059776246547699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.128127932548523, dino_loss: 0.671875, depth_loss: 0.05202547833323479, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6759/10000 [17:44:58<7:08:16,  7.93s/it]
                                                         
{'loss': 2.6598, 'grad_norm': 5.741359710693359, 'learning_rate': 1.3035929721508522e-05, 'epoch': 0.06}

 68%|██████▊   | 6759/10000 [17:44:58<7:08:16,  7.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.594785213470459, dino_loss: 0.5703125, depth_loss: 0.04764147102832794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0198123455047607, dino_loss: 0.67578125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6760/10000 [17:45:05<6:56:18,  7.71s/it]
                                                         
{'loss': 1.9235, 'grad_norm': 11.07270622253418, 'learning_rate': 1.3028671202498261e-05, 'epoch': 0.06}

 68%|██████▊   | 6760/10000 [17:45:05<6:56:18,  7.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7537891864776611, dino_loss: 0.77734375, depth_loss: 0.06365828216075897, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.887741208076477, dino_loss: 0.6875, depth_loss: 0.05444170534610748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6761/10000 [17:45:12<6:46:37,  7.53s/it]
                                                         
{'loss': 2.1567, 'grad_norm': 7.577451229095459, 'learning_rate': 1.3021413992654529e-05, 'epoch': 0.06}

 68%|██████▊   | 6761/10000 [17:45:12<6:46:37,  7.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.744343638420105, dino_loss: 0.66015625, depth_loss: 0.053397905081510544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9465904831886292, dino_loss: 0.75390625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6762/10000 [17:45:20<6:53:55,  7.67s/it]
                                                         
{'loss': 2.4345, 'grad_norm': 2.839812994003296, 'learning_rate': 1.3014158092770948e-05, 'epoch': 0.06}

 68%|██████▊   | 6762/10000 [17:45:20<6:53:55,  7.67s/it]the number of masks: 2
the number of masks: 8
seg_loss: 0.5067046880722046, dino_loss: 0.625, depth_loss: 0.07756214588880539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.754914402961731, dino_loss: 0.58984375, depth_loss: 0.05358176678419113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6763/10000 [17:45:29<7:08:46,  7.95s/it]
                                                         
{'loss': 2.0598, 'grad_norm': 2.7583999633789062, 'learning_rate': 1.3006903503641016e-05, 'epoch': 0.06}

 68%|██████▊   | 6763/10000 [17:45:29<7:08:46,  7.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1695280075073242, dino_loss: 0.703125, depth_loss: 0.07047785818576813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0348032712936401, dino_loss: 0.703125, depth_loss: 0.06624318659305573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6764/10000 [17:45:38<7:36:14,  8.46s/it]
                                                         
{'loss': 2.263, 'grad_norm': 3.0735080242156982, 'learning_rate': 1.2999650226058083e-05, 'epoch': 0.06}

 68%|██████▊   | 6764/10000 [17:45:38<7:36:14,  8.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8979026079177856, dino_loss: 0.6953125, depth_loss: 0.030475961044430733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7108100056648254, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6765/10000 [17:45:48<7:59:43,  8.90s/it]
                                                         
{'loss': 2.38, 'grad_norm': 2.5008440017700195, 'learning_rate': 1.2992398260815369e-05, 'epoch': 0.06}

 68%|██████▊   | 6765/10000 [17:45:48<7:59:43,  8.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9336848258972168, dino_loss: 0.69140625, depth_loss: 0.06677835434675217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7951837778091431, dino_loss: 0.75390625, depth_loss: 0.08337624371051788, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6766/10000 [17:45:57<7:56:54,  8.85s/it]
                                                         
{'loss': 2.6998, 'grad_norm': 4.227540493011475, 'learning_rate': 1.2985147608705922e-05, 'epoch': 0.06}

 68%|██████▊   | 6766/10000 [17:45:57<7:56:54,  8.85s/it]the number of masks: 8
seg_loss: 0.4454292953014374, dino_loss: 0.5234375, depth_loss: 0.04903395101428032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.06086024269461632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6767/10000 [17:46:01<6:43:58,  7.50s/it]
                                                         
{'loss': 0.6931, 'grad_norm': 4.692346572875977, 'learning_rate': 1.2977898270522677e-05, 'epoch': 0.06}

 68%|██████▊   | 6767/10000 [17:46:01<6:43:58,  7.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9175530672073364, dino_loss: 0.74609375, depth_loss: 0.074335478246212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9017807841300964, dino_loss: 0.6640625, depth_loss: 0.053618043661117554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6768/10000 [17:46:09<6:51:43,  7.64s/it]
                                                         
{'loss': 2.0927, 'grad_norm': 3.982097625732422, 'learning_rate': 1.2970650247058388e-05, 'epoch': 0.06}

 68%|██████▊   | 6768/10000 [17:46:09<6:51:43,  7.64s/it]the number of masks: 8
seg_loss: 0.5546399354934692, dino_loss: 0.703125, depth_loss: 0.10741264373064041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.76171875, depth_loss: 0.06830596923828125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6769/10000 [17:46:14<6:03:49,  6.76s/it]
                                                         
{'loss': 2.2319, 'grad_norm': 3.213762044906616, 'learning_rate': 1.2963403539105707e-05, 'epoch': 0.06}

 68%|██████▊   | 6769/10000 [17:46:14<6:03:49,  6.76s/it]the number of masks: 8
seg_loss: 0.9312082529067993, dino_loss: 0.8125, depth_loss: 0.05244113877415657, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
seg_loss: 0.3681756258010864, dino_loss: 0.62890625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6770/10000 [17:46:19<5:38:54,  6.30s/it]
                                                         
{'loss': 2.2485, 'grad_norm': 5.7913312911987305, 'learning_rate': 1.2956158147457115e-05, 'epoch': 0.06}

 68%|██████▊   | 6770/10000 [17:46:19<5:38:54,  6.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7732175588607788, dino_loss: 0.66796875, depth_loss: 0.04826993867754936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6316336989402771, dino_loss: 0.6875, depth_loss: 0.058009982109069824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6771/10000 [17:46:28<6:18:10,  7.03s/it]
                                                         
{'loss': 2.2498, 'grad_norm': 3.0217173099517822, 'learning_rate': 1.2948914072904972e-05, 'epoch': 0.06}

 68%|██████▊   | 6771/10000 [17:46:28<6:18:10,  7.03s/it]the number of masks: 8
seg_loss: 1.0076074600219727, dino_loss: 0.73046875, depth_loss: 0.06678880751132965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7573888301849365, dino_loss: 0.79296875, depth_loss: 0.07204563915729523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6772/10000 [17:46:36<6:33:31,  7.31s/it]
                                                         
{'loss': 2.6986, 'grad_norm': 3.809335947036743, 'learning_rate': 1.2941671316241454e-05, 'epoch': 0.06}

 68%|██████▊   | 6772/10000 [17:46:36<6:33:31,  7.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7724897265434265, dino_loss: 0.62890625, depth_loss: 0.04125460982322693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7181691527366638, dino_loss: 0.6328125, depth_loss: 0.05342795327305794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6773/10000 [17:46:46<7:18:21,  8.15s/it]
                                                         
{'loss': 2.1421, 'grad_norm': 3.755049467086792, 'learning_rate': 1.2934429878258648e-05, 'epoch': 0.06}

 68%|██████▊   | 6773/10000 [17:46:46<7:18:21,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.053666114807129, dino_loss: 0.84375, depth_loss: 0.07696276158094406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.02016019821167, dino_loss: 0.67578125, depth_loss: 0.04851525276899338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6774/10000 [17:46:54<7:18:30,  8.16s/it]
                                                         
{'loss': 2.7859, 'grad_norm': 4.149538516998291, 'learning_rate': 1.2927189759748437e-05, 'epoch': 0.06}

 68%|██████▊   | 6774/10000 [17:46:54<7:18:30,  8.16s/it]the number of masks: 8
seg_loss: 1.007602572441101, dino_loss: 0.734375, depth_loss: 0.0507771298289299, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.925876796245575, dino_loss: 0.64453125, depth_loss: 0.0549512580037117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6775/10000 [17:47:01<6:57:04,  7.76s/it]
                                                         
{'loss': 2.7112, 'grad_norm': 3.893468141555786, 'learning_rate': 1.2919950961502603e-05, 'epoch': 0.06}

 68%|██████▊   | 6775/10000 [17:47:01<6:57:04,  7.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9428853988647461, dino_loss: 0.6484375, depth_loss: 0.04130173102021217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8870792388916016, dino_loss: 0.70703125, depth_loss: 0.06787493824958801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6776/10000 [17:47:09<6:53:33,  7.70s/it]
                                                         
{'loss': 2.6491, 'grad_norm': 2.3110148906707764, 'learning_rate': 1.2912713484312766e-05, 'epoch': 0.06}

 68%|██████▊   | 6776/10000 [17:47:09<6:53:33,  7.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7856440544128418, dino_loss: 0.66796875, depth_loss: 0.08909320831298828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5545719861984253, dino_loss: 0.72265625, depth_loss: 0.04180583357810974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6777/10000 [17:47:16<6:47:55,  7.59s/it]
                                                         
{'loss': 1.7571, 'grad_norm': 4.063604831695557, 'learning_rate': 1.2905477328970423e-05, 'epoch': 0.06}

 68%|██████▊   | 6777/10000 [17:47:16<6:47:55,  7.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.774552047252655, dino_loss: 0.64453125, depth_loss: 0.05813172832131386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9556258916854858, dino_loss: 0.68359375, depth_loss: 0.06118885800242424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6778/10000 [17:47:25<7:16:53,  8.14s/it]
                                                         
{'loss': 2.0582, 'grad_norm': 2.94872784614563, 'learning_rate': 1.2898242496266884e-05, 'epoch': 0.06}

 68%|██████▊   | 6778/10000 [17:47:25<7:16:53,  8.14s/it]the number of masks: 8
seg_loss: 0.886955738067627, dino_loss: 0.71875, depth_loss: 0.05840011686086655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7123829126358032, dino_loss: 0.68359375, depth_loss: 0.059132229536771774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6779/10000 [17:47:31<6:29:50,  7.26s/it]
                                                         
{'loss': 1.9366, 'grad_norm': 6.507809162139893, 'learning_rate': 1.2891008986993364e-05, 'epoch': 0.06}

 68%|██████▊   | 6779/10000 [17:47:31<6:29:50,  7.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8218085169792175, dino_loss: 0.62109375, depth_loss: 0.06176372990012169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8609604835510254, dino_loss: 0.578125, depth_loss: 0.0561632364988327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6780/10000 [17:47:40<7:03:33,  7.89s/it]
                                                         
{'loss': 2.284, 'grad_norm': 6.612085342407227, 'learning_rate': 1.2883776801940884e-05, 'epoch': 0.06}

 68%|██████▊   | 6780/10000 [17:47:40<7:03:33,  7.89s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7320343255996704, dino_loss: 0.66015625, depth_loss: 0.05522690713405609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8632063269615173, dino_loss: 0.625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6781/10000 [17:47:48<7:09:12,  8.00s/it]
                                                         
{'loss': 2.194, 'grad_norm': 3.103663682937622, 'learning_rate': 1.2876545941900354e-05, 'epoch': 0.06}

 68%|██████▊   | 6781/10000 [17:47:48<7:09:12,  8.00s/it]seg_loss: 0.0, dino_loss: 0.69140625, depth_loss: 0.062388233840465546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7388808131217957, dino_loss: 0.6953125, depth_loss: 0.027908124029636383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6782/10000 [17:47:55<6:48:01,  7.61s/it]
                                                         
{'loss': 2.0347, 'grad_norm': 2.5381245613098145, 'learning_rate': 1.2869316407662535e-05, 'epoch': 0.06}

 68%|██████▊   | 6782/10000 [17:47:55<6:48:01,  7.61s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7134139537811279, dino_loss: 0.57421875, depth_loss: 0.03490615263581276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8862521052360535, dino_loss: 0.6875, depth_loss: 0.050410930067300797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6783/10000 [17:48:03<6:52:34,  7.69s/it]
                                                         
{'loss': 1.5438, 'grad_norm': 4.335866451263428, 'learning_rate': 1.2862088200018046e-05, 'epoch': 0.06}

 68%|██████▊   | 6783/10000 [17:48:03<6:52:34,  7.69s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8226610422134399, dino_loss: 0.68359375, depth_loss: 0.0651688426733017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4039141535758972, dino_loss: 0.59375, depth_loss: 0.03444219008088112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6784/10000 [17:48:10<6:40:38,  7.47s/it]
                                                         
{'loss': 2.1533, 'grad_norm': 4.401049613952637, 'learning_rate': 1.285486131975733e-05, 'epoch': 0.06}

 68%|██████▊   | 6784/10000 [17:48:10<6:40:38,  7.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8747706413269043, dino_loss: 0.6875, depth_loss: 0.07263658195734024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8943027257919312, dino_loss: 0.68359375, depth_loss: 0.0674126073718071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6785/10000 [17:48:19<7:00:05,  7.84s/it]
                                                         
{'loss': 2.1768, 'grad_norm': 4.454504013061523, 'learning_rate': 1.2847635767670722e-05, 'epoch': 0.06}

 68%|██████▊   | 6785/10000 [17:48:19<7:00:05,  7.84s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8663581609725952, dino_loss: 0.75390625, depth_loss: 0.07226701080799103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9389269351959229, dino_loss: 0.6015625, depth_loss: 0.046119384467601776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6786/10000 [17:48:26<6:53:17,  7.72s/it]
                                                         
{'loss': 2.5003, 'grad_norm': 3.7012200355529785, 'learning_rate': 1.2840411544548403e-05, 'epoch': 0.06}

 68%|██████▊   | 6786/10000 [17:48:26<6:53:17,  7.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8520225882530212, dino_loss: 0.61328125, depth_loss: 0.04681139811873436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8993589878082275, dino_loss: 0.6953125, depth_loss: 0.05723395198583603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6787/10000 [17:48:33<6:46:14,  7.59s/it]
                                                         
{'loss': 2.4148, 'grad_norm': 3.110416889190674, 'learning_rate': 1.2833188651180388e-05, 'epoch': 0.06}

 68%|██████▊   | 6787/10000 [17:48:33<6:46:14,  7.59s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9871178269386292, dino_loss: 0.71875, depth_loss: 0.06822174787521362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9088886976242065, dino_loss: 0.8125, depth_loss: 0.07003862410783768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6788/10000 [17:48:41<6:46:59,  7.60s/it]
                                                         
{'loss': 2.6337, 'grad_norm': 6.215957164764404, 'learning_rate': 1.2825967088356572e-05, 'epoch': 0.06}

 68%|██████▊   | 6788/10000 [17:48:41<6:46:59,  7.60s/it]the number of masks: 8
seg_loss: 0.9447661638259888, dino_loss: 0.671875, depth_loss: 0.04940826818346977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8350321650505066, dino_loss: 0.67578125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6789/10000 [17:48:48<6:42:20,  7.52s/it]
                                                         
{'loss': 2.6996, 'grad_norm': 4.865861415863037, 'learning_rate': 1.2818746856866687e-05, 'epoch': 0.06}

 68%|██████▊   | 6789/10000 [17:48:48<6:42:20,  7.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0235767364501953, dino_loss: 0.66015625, depth_loss: 0.06329122185707092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9446272253990173, dino_loss: 0.6875, depth_loss: 0.036147378385066986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6790/10000 [17:48:57<6:59:32,  7.84s/it]
                                                         
{'loss': 2.4164, 'grad_norm': 2.500495672225952, 'learning_rate': 1.2811527957500345e-05, 'epoch': 0.06}

 68%|██████▊   | 6790/10000 [17:48:57<6:59:32,  7.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7981461882591248, dino_loss: 0.66015625, depth_loss: 0.04634186625480652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0643349885940552, dino_loss: 0.78125, depth_loss: 0.07482589781284332, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6791/10000 [17:49:05<7:06:12,  7.97s/it]
                                                         
{'loss': 2.3919, 'grad_norm': 2.3257172107696533, 'learning_rate': 1.280431039104697e-05, 'epoch': 0.06}

 68%|██████▊   | 6791/10000 [17:49:05<7:06:12,  7.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8728569746017456, dino_loss: 0.703125, depth_loss: 0.0709594115614891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8703596591949463, dino_loss: 0.73046875, depth_loss: 0.05157926678657532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6792/10000 [17:49:12<6:56:45,  7.79s/it]
                                                         
{'loss': 2.3029, 'grad_norm': 3.669248104095459, 'learning_rate': 1.279709415829588e-05, 'epoch': 0.06}

 68%|██████▊   | 6792/10000 [17:49:12<6:56:45,  7.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6705055236816406, dino_loss: 0.65625, depth_loss: 0.06643055379390717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.784795880317688, dino_loss: 0.69921875, depth_loss: 0.0726495310664177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6793/10000 [17:49:21<7:16:20,  8.16s/it]
                                                         
{'loss': 2.2508, 'grad_norm': 2.8702919483184814, 'learning_rate': 1.2789879260036222e-05, 'epoch': 0.06}

 68%|██████▊   | 6793/10000 [17:49:21<7:16:20,  8.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8390145301818848, dino_loss: 0.76953125, depth_loss: 0.042140599340200424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9450270533561707, dino_loss: 0.66015625, depth_loss: 0.053059715777635574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6794/10000 [17:49:31<7:46:19,  8.73s/it]
                                                         
{'loss': 2.5698, 'grad_norm': 2.2062275409698486, 'learning_rate': 1.2782665697057017e-05, 'epoch': 0.06}

 68%|██████▊   | 6794/10000 [17:49:32<7:46:19,  8.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6873399615287781, dino_loss: 0.6953125, depth_loss: 0.05410510674118996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.933342695236206, dino_loss: 0.7265625, depth_loss: 0.04871199652552605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6795/10000 [17:49:40<7:42:58,  8.67s/it]
                                                         
{'loss': 2.3436, 'grad_norm': 2.670799493789673, 'learning_rate': 1.2775453470147106e-05, 'epoch': 0.06}

 68%|██████▊   | 6795/10000 [17:49:40<7:42:58,  8.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7826718688011169, dino_loss: 0.6328125, depth_loss: 0.049501046538352966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8427374362945557, dino_loss: 0.65625, depth_loss: 0.05363614857196808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6796/10000 [17:49:52<8:41:26,  9.76s/it]
                                                         
{'loss': 2.554, 'grad_norm': 2.5685954093933105, 'learning_rate': 1.2768242580095241e-05, 'epoch': 0.06}

 68%|██████▊   | 6796/10000 [17:49:52<8:41:26,  9.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8579710721969604, dino_loss: 0.703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.044818639755249, dino_loss: 0.7421875, depth_loss: 0.077437624335289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6797/10000 [17:50:01<8:31:00,  9.57s/it]
                                                         
{'loss': 2.3925, 'grad_norm': 5.520801067352295, 'learning_rate': 1.276103302768997e-05, 'epoch': 0.06}

 68%|██████▊   | 6797/10000 [17:50:01<8:31:00,  9.57s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7290990352630615, dino_loss: 0.64453125, depth_loss: 0.058075275272130966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8670512437820435, dino_loss: 0.7109375, depth_loss: 0.052486855536699295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6798/10000 [17:50:08<7:45:23,  8.72s/it]
                                                         
{'loss': 2.4345, 'grad_norm': 9.609354972839355, 'learning_rate': 1.2753824813719733e-05, 'epoch': 0.06}

 68%|██████▊   | 6798/10000 [17:50:08<7:45:23,  8.72s/it]the number of masks: 8
seg_loss: 1.2156713008880615, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8105266094207764, dino_loss: 0.73046875, depth_loss: 0.04693274945020676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6799/10000 [17:50:14<6:55:15,  7.78s/it]
                                                         
{'loss': 2.6462, 'grad_norm': 7.76343297958374, 'learning_rate': 1.2746617938972794e-05, 'epoch': 0.06}

 68%|██████▊   | 6799/10000 [17:50:14<6:55:15,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8292183876037598, dino_loss: 0.734375, depth_loss: 0.095252625644207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0832173824310303, dino_loss: 0.6953125, depth_loss: 0.05544845014810562, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6800/10000 [17:50:20<6:26:46,  7.25s/it]
                                                         
{'loss': 2.5404, 'grad_norm': 11.960844039916992, 'learning_rate': 1.2739412404237306e-05, 'epoch': 0.06}

 68%|██████▊   | 6800/10000 [17:50:20<6:26:46,  7.25s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8557026386260986, dino_loss: 0.703125, depth_loss: 0.08379317820072174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6615928411483765, dino_loss: 0.609375, depth_loss: 0.061864469200372696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6801/10000 [17:50:26<6:13:20,  7.00s/it]
                                                         
{'loss': 2.1535, 'grad_norm': 4.497251510620117, 'learning_rate': 1.2732208210301222e-05, 'epoch': 0.06}

 68%|██████▊   | 6801/10000 [17:50:26<6:13:20,  7.00s/it]the number of masks: 8
seg_loss: 1.0590953826904297, dino_loss: 0.71484375, depth_loss: 0.07238124310970306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0461755990982056, dino_loss: 0.75390625, depth_loss: 0.07617887109518051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6802/10000 [17:50:32<5:48:19,  6.54s/it]
                                                         
{'loss': 2.4509, 'grad_norm': 2.9479618072509766, 'learning_rate': 1.2725005357952425e-05, 'epoch': 0.06}

 68%|██████▊   | 6802/10000 [17:50:32<5:48:19,  6.54s/it]seg_loss: 0.0, dino_loss: 0.7421875, depth_loss: 0.06395888328552246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8651749491691589, dino_loss: 0.66015625, depth_loss: 0.05879934877157211, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6803/10000 [17:50:38<5:46:26,  6.50s/it]
                                                         
{'loss': 2.0735, 'grad_norm': 2.9346823692321777, 'learning_rate': 1.2717803847978577e-05, 'epoch': 0.06}

 68%|██████▊   | 6803/10000 [17:50:38<5:46:26,  6.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9683903455734253, dino_loss: 0.65234375, depth_loss: 0.0555800162255764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5487779974937439, dino_loss: 0.6875, depth_loss: 0.05342503637075424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6804/10000 [17:50:47<6:27:10,  7.27s/it]
                                                         
{'loss': 2.6425, 'grad_norm': 8.442707061767578, 'learning_rate': 1.2710603681167243e-05, 'epoch': 0.06}

 68%|██████▊   | 6804/10000 [17:50:47<6:27:10,  7.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8278312683105469, dino_loss: 0.73828125, depth_loss: 0.06298822164535522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7691590785980225, dino_loss: 0.671875, depth_loss: 0.03746027871966362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6805/10000 [17:50:55<6:37:17,  7.46s/it]
                                                         
{'loss': 2.3551, 'grad_norm': 4.842555522918701, 'learning_rate': 1.2703404858305806e-05, 'epoch': 0.06}

 68%|██████▊   | 6805/10000 [17:50:55<6:37:17,  7.46s/it]the number of masks: 8
seg_loss: 0.784859836101532, dino_loss: 0.703125, depth_loss: 0.04421023651957512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6640625, depth_loss: 0.07762964069843292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6806/10000 [17:50:59<5:45:15,  6.49s/it]
                                                         
{'loss': 1.9784, 'grad_norm': 3.95101261138916, 'learning_rate': 1.2696207380181524e-05, 'epoch': 0.06}

 68%|██████▊   | 6806/10000 [17:50:59<5:45:15,  6.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1243019104003906, dino_loss: 0.703125, depth_loss: 0.04379831999540329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8993991613388062, dino_loss: 0.640625, depth_loss: 0.060456521809101105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6807/10000 [17:51:07<6:04:57,  6.86s/it]
                                                         
{'loss': 2.0191, 'grad_norm': 5.983380317687988, 'learning_rate': 1.2689011247581503e-05, 'epoch': 0.06}

 68%|██████▊   | 6807/10000 [17:51:07<6:04:57,  6.86s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8329319357872009, dino_loss: 0.69140625, depth_loss: 0.089359812438488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8057785034179688, dino_loss: 0.6953125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6808/10000 [17:51:14<6:13:29,  7.02s/it]
                                                         
{'loss': 2.5417, 'grad_norm': 1.764750599861145, 'learning_rate': 1.2681816461292715e-05, 'epoch': 0.06}

 68%|██████▊   | 6808/10000 [17:51:14<6:13:29,  7.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9489607214927673, dino_loss: 0.6796875, depth_loss: 0.062453679740428925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7298932075500488, dino_loss: 0.61328125, depth_loss: 0.07882526516914368, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6809/10000 [17:51:25<7:16:11,  8.20s/it]
                                                         
{'loss': 2.4624, 'grad_norm': 6.161182880401611, 'learning_rate': 1.2674623022101948e-05, 'epoch': 0.06}

 68%|██████▊   | 6809/10000 [17:51:25<7:16:11,  8.20s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0241140127182007, dino_loss: 0.66796875, depth_loss: 0.06997431814670563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6867674589157104, dino_loss: 0.0, depth_loss: 0.0768035501241684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6810/10000 [17:51:32<6:43:42,  7.59s/it]
                                                         
{'loss': 1.7642, 'grad_norm': 8.198171615600586, 'learning_rate': 1.2667430930795877e-05, 'epoch': 0.06}

 68%|██████▊   | 6810/10000 [17:51:32<6:43:42,  7.59s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.594477653503418, dino_loss: 0.609375, depth_loss: 0.0674000009894371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.71875, depth_loss: 0.10960977524518967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6811/10000 [17:51:37<6:04:27,  6.86s/it]
                                                         
{'loss': 1.5675, 'grad_norm': 3.263648748397827, 'learning_rate': 1.2660240188161026e-05, 'epoch': 0.06}

 68%|██████▊   | 6811/10000 [17:51:37<6:04:27,  6.86s/it]the number of masks: 8
seg_loss: 0.8710824847221375, dino_loss: 0.0, depth_loss: 0.09390224516391754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.828116774559021, dino_loss: 0.6484375, depth_loss: 0.06865164637565613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6812/10000 [17:51:42<5:37:39,  6.35s/it]
                                                         
{'loss': 2.0744, 'grad_norm': 3.7238874435424805, 'learning_rate': 1.2653050794983746e-05, 'epoch': 0.06}

 68%|██████▊   | 6812/10000 [17:51:42<5:37:39,  6.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6685775518417358, dino_loss: 0.6328125, depth_loss: 0.04268993064761162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8361780643463135, dino_loss: 0.74609375, depth_loss: 0.06069926545023918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6813/10000 [17:51:53<6:53:35,  7.79s/it]
                                                         
{'loss': 2.5093, 'grad_norm': 3.166088342666626, 'learning_rate': 1.264586275205028e-05, 'epoch': 0.06}

 68%|██████▊   | 6813/10000 [17:51:53<6:53:35,  7.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7689106464385986, dino_loss: 0.703125, depth_loss: 0.05099005252122879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.912505030632019, dino_loss: 0.671875, depth_loss: 0.06832632422447205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6814/10000 [17:52:02<7:14:17,  8.18s/it]
                                                         
{'loss': 2.2314, 'grad_norm': 4.307883262634277, 'learning_rate': 1.2638676060146665e-05, 'epoch': 0.06}

 68%|██████▊   | 6814/10000 [17:52:02<7:14:17,  8.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9288937449455261, dino_loss: 0.68359375, depth_loss: 0.049292705953121185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9038257002830505, dino_loss: 0.765625, depth_loss: 0.06943995505571365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6815/10000 [17:52:09<6:46:06,  7.65s/it]
                                                         
{'loss': 2.6152, 'grad_norm': 4.07002067565918, 'learning_rate': 1.2631490720058875e-05, 'epoch': 0.06}

 68%|██████▊   | 6815/10000 [17:52:09<6:46:06,  7.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7392290234565735, dino_loss: 0.703125, depth_loss: 0.0405278243124485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.799424946308136, dino_loss: 0.73828125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6816/10000 [17:52:15<6:24:13,  7.24s/it]
                                                         
{'loss': 2.2709, 'grad_norm': 2.8271334171295166, 'learning_rate': 1.2624306732572652e-05, 'epoch': 0.06}

 68%|██████▊   | 6816/10000 [17:52:15<6:24:13,  7.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7657105326652527, dino_loss: 0.6015625, depth_loss: 0.03873228281736374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.7268166542053223, dino_loss: 0.63671875, depth_loss: 0.06034258008003235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6817/10000 [17:52:23<6:46:26,  7.66s/it]
                                                         
{'loss': 2.8083, 'grad_norm': 14.153989791870117, 'learning_rate': 1.2617124098473649e-05, 'epoch': 0.06}

 68%|██████▊   | 6817/10000 [17:52:23<6:46:26,  7.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.838580846786499, dino_loss: 0.61328125, depth_loss: 0.06738002598285675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7351893186569214, dino_loss: 0.62890625, depth_loss: 0.03961732238531113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6818/10000 [17:52:31<6:44:48,  7.63s/it]
                                                         
{'loss': 2.5229, 'grad_norm': 3.469456911087036, 'learning_rate': 1.2609942818547327e-05, 'epoch': 0.06}

 68%|██████▊   | 6818/10000 [17:52:31<6:44:48,  7.63s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0161314010620117, dino_loss: 0.72265625, depth_loss: 0.04536394774913788, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8780407309532166, dino_loss: 0.6875, depth_loss: 0.07456757128238678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6819/10000 [17:52:39<6:52:12,  7.78s/it]
                                                         
{'loss': 2.4461, 'grad_norm': 4.86793327331543, 'learning_rate': 1.260276289357904e-05, 'epoch': 0.06}

 68%|██████▊   | 6819/10000 [17:52:39<6:52:12,  7.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9111456274986267, dino_loss: 0.625, depth_loss: 0.07170634716749191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8466021418571472, dino_loss: 0.640625, depth_loss: 0.05002840980887413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6820/10000 [17:52:47<6:58:30,  7.90s/it]
                                                         
{'loss': 1.6315, 'grad_norm': 3.6923584938049316, 'learning_rate': 1.2595584324353943e-05, 'epoch': 0.06}

 68%|██████▊   | 6820/10000 [17:52:47<6:58:30,  7.90s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8183000087738037, dino_loss: 0.72265625, depth_loss: 0.06820914894342422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.88701331615448, dino_loss: 0.69140625, depth_loss: 0.055416714400053024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6821/10000 [17:52:56<7:07:52,  8.08s/it]
                                                         
{'loss': 2.75, 'grad_norm': 5.476335525512695, 'learning_rate': 1.2588407111657119e-05, 'epoch': 0.06}

 68%|██████▊   | 6821/10000 [17:52:56<7:07:52,  8.08s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.178637981414795, dino_loss: 0.66796875, depth_loss: 0.07875300198793411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7864680290222168, dino_loss: 0.6953125, depth_loss: 0.07720056921243668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6822/10000 [17:53:03<6:56:46,  7.87s/it]
                                                         
{'loss': 2.363, 'grad_norm': 5.109809398651123, 'learning_rate': 1.2581231256273419e-05, 'epoch': 0.06}

 68%|██████▊   | 6822/10000 [17:53:03<6:56:46,  7.87s/it]the number of masks: 8
seg_loss: 1.7433654069900513, dino_loss: 0.625, depth_loss: 0.10266119241714478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9266517758369446, dino_loss: 0.75, depth_loss: 0.08135933429002762, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6823/10000 [17:53:09<6:30:48,  7.38s/it]
                                                         
{'loss': 2.8226, 'grad_norm': 22.065095901489258, 'learning_rate': 1.2574056758987606e-05, 'epoch': 0.06}

 68%|██████▊   | 6823/10000 [17:53:09<6:30:48,  7.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.949589729309082, dino_loss: 0.67578125, depth_loss: 0.08593294024467468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8871952891349792, dino_loss: 0.73828125, depth_loss: 0.053957995027303696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6824/10000 [17:53:18<6:49:06,  7.73s/it]
                                                         
{'loss': 3.0224, 'grad_norm': 5.520458698272705, 'learning_rate': 1.2566883620584257e-05, 'epoch': 0.06}

 68%|██████▊   | 6824/10000 [17:53:18<6:49:06,  7.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7918726801872253, dino_loss: 0.671875, depth_loss: 0.057225026190280914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8012853860855103, dino_loss: 0.0, depth_loss: 0.06378122419118881, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6825/10000 [17:53:26<6:52:57,  7.80s/it]
                                                         
{'loss': 1.8579, 'grad_norm': 2.903902292251587, 'learning_rate': 1.255971184184783e-05, 'epoch': 0.06}

 68%|██████▊   | 6825/10000 [17:53:26<6:52:57,  7.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9830915331840515, dino_loss: 0.6953125, depth_loss: 0.0771915391087532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6928325295448303, dino_loss: 0.6796875, depth_loss: 0.054254718124866486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6826/10000 [17:53:35<7:14:00,  8.20s/it]
                                                         
{'loss': 2.9069, 'grad_norm': 2.625164747238159, 'learning_rate': 1.2552541423562592e-05, 'epoch': 0.06}

 68%|██████▊   | 6826/10000 [17:53:35<7:14:00,  8.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9046444296836853, dino_loss: 0.67578125, depth_loss: 0.05959115922451019, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9359484910964966, dino_loss: 0.796875, depth_loss: 0.051725760102272034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6827/10000 [17:53:43<7:05:27,  8.05s/it]
                                                         
{'loss': 2.5123, 'grad_norm': 5.4922003746032715, 'learning_rate': 1.254537236651273e-05, 'epoch': 0.06}

 68%|██████▊   | 6827/10000 [17:53:43<7:05:27,  8.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8558172583580017, dino_loss: 0.70703125, depth_loss: 0.08842279762029648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9343379139900208, dino_loss: 0.703125, depth_loss: 0.055326372385025024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6828/10000 [17:53:53<7:39:12,  8.69s/it]
                                                         
{'loss': 2.1117, 'grad_norm': 3.2225289344787598, 'learning_rate': 1.2538204671482212e-05, 'epoch': 0.06}

 68%|██████▊   | 6828/10000 [17:53:53<7:39:12,  8.69s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7907739281654358, dino_loss: 0.77734375, depth_loss: 0.07252471148967743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8334093689918518, dino_loss: 0.7109375, depth_loss: 0.09697548300027847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6829/10000 [17:54:02<7:45:07,  8.80s/it]
                                                         
{'loss': 2.2042, 'grad_norm': 3.3194820880889893, 'learning_rate': 1.2531038339254905e-05, 'epoch': 0.06}

 68%|██████▊   | 6829/10000 [17:54:02<7:45:07,  8.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8736120462417603, dino_loss: 0.6796875, depth_loss: 0.07190561294555664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7552319765090942, dino_loss: 0.6171875, depth_loss: 0.057458918541669846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6830/10000 [17:54:10<7:34:04,  8.59s/it]
                                                         
{'loss': 2.4059, 'grad_norm': 3.8960676193237305, 'learning_rate': 1.2523873370614489e-05, 'epoch': 0.06}

 68%|██████▊   | 6830/10000 [17:54:10<7:34:04,  8.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7121354937553406, dino_loss: 0.671875, depth_loss: 0.04965357109904289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9011602401733398, dino_loss: 0.68359375, depth_loss: 0.06279067695140839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6831/10000 [17:54:21<8:03:39,  9.16s/it]
                                                         
{'loss': 2.1832, 'grad_norm': 5.699217319488525, 'learning_rate': 1.2516709766344522e-05, 'epoch': 0.06}

 68%|██████▊   | 6831/10000 [17:54:21<8:03:39,  9.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0897958278656006, dino_loss: 0.69921875, depth_loss: 0.07684287428855896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8799991607666016, dino_loss: 0.578125, depth_loss: 0.04086216911673546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6832/10000 [17:54:29<7:49:54,  8.90s/it]
                                                         
{'loss': 2.497, 'grad_norm': 3.4592666625976562, 'learning_rate': 1.2509547527228416e-05, 'epoch': 0.06}

 68%|██████▊   | 6832/10000 [17:54:29<7:49:54,  8.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8263608813285828, dino_loss: 0.7109375, depth_loss: 0.07231511920690536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8640986680984497, dino_loss: 0.7421875, depth_loss: 0.0603555366396904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6833/10000 [17:54:37<7:35:11,  8.62s/it]
                                                         
{'loss': 2.1737, 'grad_norm': 6.503941535949707, 'learning_rate': 1.2502386654049405e-05, 'epoch': 0.06}

 68%|██████▊   | 6833/10000 [17:54:37<7:35:11,  8.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9322003126144409, dino_loss: 0.71875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0352635383605957, dino_loss: 0.671875, depth_loss: 0.06178460642695427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6834/10000 [17:54:45<7:24:46,  8.43s/it]
                                                         
{'loss': 2.5582, 'grad_norm': 4.674671649932861, 'learning_rate': 1.24952271475906e-05, 'epoch': 0.06}

 68%|██████▊   | 6834/10000 [17:54:45<7:24:46,  8.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7687963247299194, dino_loss: 0.7421875, depth_loss: 0.048428356647491455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6982514262199402, dino_loss: 0.66015625, depth_loss: 0.061759188771247864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6835/10000 [17:54:53<7:25:24,  8.44s/it]
                                                         
{'loss': 1.75, 'grad_norm': 5.856832981109619, 'learning_rate': 1.2488069008634954e-05, 'epoch': 0.06}

 68%|██████▊   | 6835/10000 [17:54:53<7:25:24,  8.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8177801370620728, dino_loss: 0.0, depth_loss: 0.07586190849542618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.948554277420044, dino_loss: 0.69140625, depth_loss: 0.058795057237148285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6836/10000 [17:55:01<7:10:08,  8.16s/it]
                                                         
{'loss': 1.889, 'grad_norm': 5.6703782081604, 'learning_rate': 1.2480912237965276e-05, 'epoch': 0.06}

 68%|██████▊   | 6836/10000 [17:55:01<7:10:08,  8.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8016085624694824, dino_loss: 0.66015625, depth_loss: 0.05676297843456268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7289756536483765, dino_loss: 0.498046875, depth_loss: 0.058715008199214935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6837/10000 [17:55:10<7:28:47,  8.51s/it]
                                                         
{'loss': 1.8434, 'grad_norm': 3.664297580718994, 'learning_rate': 1.2473756836364207e-05, 'epoch': 0.06}

 68%|██████▊   | 6837/10000 [17:55:10<7:28:47,  8.51s/it]the number of masks: 8
seg_loss: 0.697155237197876, dino_loss: 0.703125, depth_loss: 0.05756629258394241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0698930025100708, dino_loss: 0.640625, depth_loss: 0.05374470725655556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6838/10000 [17:55:16<6:41:29,  7.62s/it]
                                                         
{'loss': 2.3695, 'grad_norm': 2.8348278999328613, 'learning_rate': 1.2466602804614266e-05, 'epoch': 0.06}

 68%|██████▊   | 6838/10000 [17:55:16<6:41:29,  7.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9213675260543823, dino_loss: 0.72265625, depth_loss: 0.06545314192771912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7081655263900757, dino_loss: 0.640625, depth_loss: 0.0545089952647686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6839/10000 [17:55:25<7:12:52,  8.22s/it]
                                                         
{'loss': 2.2374, 'grad_norm': 3.597932815551758, 'learning_rate': 1.2459450143497778e-05, 'epoch': 0.06}

 68%|██████▊   | 6839/10000 [17:55:25<7:12:52,  8.22s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6812613010406494, dino_loss: 0.69921875, depth_loss: 0.09056010097265244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9331207275390625, dino_loss: 0.6640625, depth_loss: 0.07268526405096054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6840/10000 [17:55:33<7:07:11,  8.11s/it]
                                                         
{'loss': 1.8824, 'grad_norm': 3.1138193607330322, 'learning_rate': 1.245229885379699e-05, 'epoch': 0.06}

 68%|██████▊   | 6840/10000 [17:55:33<7:07:11,  8.11s/it]the number of masks: 8
seg_loss: 0.975088357925415, dino_loss: 0.6953125, depth_loss: 0.07992983609437943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1196633577346802, dino_loss: 0.71875, depth_loss: 0.06126611679792404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6841/10000 [17:55:40<6:50:43,  7.80s/it]
                                                         
{'loss': 2.7075, 'grad_norm': 16.46555519104004, 'learning_rate': 1.2445148936293923e-05, 'epoch': 0.06}

 68%|██████▊   | 6841/10000 [17:55:40<6:50:43,  7.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8605397343635559, dino_loss: 0.671875, depth_loss: 0.08012660592794418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7601211071014404, dino_loss: 0.796875, depth_loss: 0.0532645657658577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6842/10000 [17:55:47<6:38:34,  7.57s/it]
                                                         
{'loss': 2.2891, 'grad_norm': 3.9743237495422363, 'learning_rate': 1.2438000391770502e-05, 'epoch': 0.06}

 68%|██████▊   | 6842/10000 [17:55:47<6:38:34,  7.57s/it]the number of masks: 8
seg_loss: 1.109001636505127, dino_loss: 0.69921875, depth_loss: 0.07455351203680038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.973359227180481, dino_loss: 0.7265625, depth_loss: 0.059721242636442184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6843/10000 [17:55:54<6:23:52,  7.30s/it]
                                                         
{'loss': 2.4619, 'grad_norm': 5.17686653137207, 'learning_rate': 1.2430853221008461e-05, 'epoch': 0.06}

 68%|██████▊   | 6843/10000 [17:55:54<6:23:52,  7.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0124590396881104, dino_loss: 0.69921875, depth_loss: 0.04897436499595642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.889697790145874, dino_loss: 0.66015625, depth_loss: 0.02665325067937374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6844/10000 [17:56:04<7:02:56,  8.04s/it]
                                                         
{'loss': 3.3788, 'grad_norm': 3.9454119205474854, 'learning_rate': 1.2423707424789424e-05, 'epoch': 0.06}

 68%|██████▊   | 6844/10000 [17:56:04<7:02:56,  8.04s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7505946159362793, dino_loss: 0.5234375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7902629375457764, dino_loss: 0.6484375, depth_loss: 0.07138149440288544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6845/10000 [17:56:11<6:55:01,  7.89s/it]
                                                         
{'loss': 2.4078, 'grad_norm': 9.06855297088623, 'learning_rate': 1.2416563003894826e-05, 'epoch': 0.06}

 68%|██████▊   | 6845/10000 [17:56:11<6:55:01,  7.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8001593351364136, dino_loss: 0.703125, depth_loss: 0.0673176720738411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7470830678939819, dino_loss: 0.75390625, depth_loss: 0.07172923535108566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6846/10000 [17:56:21<7:31:50,  8.60s/it]
                                                         
{'loss': 2.0105, 'grad_norm': 3.3579628467559814, 'learning_rate': 1.2409419959105981e-05, 'epoch': 0.06}

 68%|██████▊   | 6846/10000 [17:56:21<7:31:50,  8.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7099549770355225, dino_loss: 0.63671875, depth_loss: 0.05665771663188934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6533113718032837, dino_loss: 0.0, depth_loss: 0.06236713007092476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6847/10000 [17:56:33<8:14:47,  9.42s/it]
                                                         
{'loss': 1.8424, 'grad_norm': 4.205850601196289, 'learning_rate': 1.2402278291204037e-05, 'epoch': 0.06}

 68%|██████▊   | 6847/10000 [17:56:33<8:14:47,  9.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7130230665206909, dino_loss: 0.703125, depth_loss: 0.05571087822318077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9193210005760193, dino_loss: 0.71875, depth_loss: 0.06277929991483688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6848/10000 [17:56:42<8:11:05,  9.35s/it]
                                                         
{'loss': 2.3553, 'grad_norm': 4.75227689743042, 'learning_rate': 1.2395138000970008e-05, 'epoch': 0.06}

 68%|██████▊   | 6848/10000 [17:56:42<8:11:05,  9.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8802199363708496, dino_loss: 0.69140625, depth_loss: 0.062318842858076096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8653407096862793, dino_loss: 0.625, depth_loss: 0.055691204965114594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6849/10000 [17:56:51<7:58:42,  9.12s/it]
                                                         
{'loss': 1.9237, 'grad_norm': 5.097429275512695, 'learning_rate': 1.2387999089184729e-05, 'epoch': 0.06}

 68%|██████▊   | 6849/10000 [17:56:51<7:58:42,  9.12s/it]the number of masks: 8
seg_loss: 0.7909679412841797, dino_loss: 0.640625, depth_loss: 0.08562581241130829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.74609375, depth_loss: 0.04632147029042244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 68%|██████▊   | 6850/10000 [17:56:57<7:12:16,  8.23s/it]
                                                         
{'loss': 2.2038, 'grad_norm': 4.96871280670166, 'learning_rate': 1.2380861556628915e-05, 'epoch': 0.06}

 68%|██████▊   | 6850/10000 [17:56:57<7:12:16,  8.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.710856556892395, dino_loss: 0.6796875, depth_loss: 0.09922660887241364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8993046283721924, dino_loss: 0.6875, depth_loss: 0.08676280081272125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6851/10000 [17:57:04<6:57:54,  7.96s/it]
                                                         
{'loss': 2.1862, 'grad_norm': 9.184587478637695, 'learning_rate': 1.23737254040831e-05, 'epoch': 0.06}

 69%|██████▊   | 6851/10000 [17:57:04<6:57:54,  7.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7908848524093628, dino_loss: 0.66015625, depth_loss: 0.06280278414487839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1109482049942017, dino_loss: 0.72265625, depth_loss: 0.056930333375930786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6852/10000 [17:57:14<7:29:29,  8.57s/it]
                                                         
{'loss': 2.0843, 'grad_norm': 4.321457386016846, 'learning_rate': 1.236659063232769e-05, 'epoch': 0.06}

 69%|██████▊   | 6852/10000 [17:57:14<7:29:29,  8.57s/it]the number of masks: 8
seg_loss: 0.9145053625106812, dino_loss: 0.6171875, depth_loss: 0.053913287818431854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7958389520645142, dino_loss: 0.0, depth_loss: 0.06598194688558578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6853/10000 [17:57:20<6:51:53,  7.85s/it]
                                                         
{'loss': 1.6481, 'grad_norm': 7.642993927001953, 'learning_rate': 1.2359457242142938e-05, 'epoch': 0.06}

 69%|██████▊   | 6853/10000 [17:57:20<6:51:53,  7.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8061827421188354, dino_loss: 0.671875, depth_loss: 0.06267732381820679, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8669322729110718, dino_loss: 0.75390625, depth_loss: 0.11749261617660522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6854/10000 [17:57:28<6:50:24,  7.83s/it]
                                                         
{'loss': 2.113, 'grad_norm': 3.817300319671631, 'learning_rate': 1.2352325234308944e-05, 'epoch': 0.06}

 69%|██████▊   | 6854/10000 [17:57:28<6:50:24,  7.83s/it]the number of masks: 8
seg_loss: 0.291804701089859, dino_loss: 0.64453125, depth_loss: 0.048240624368190765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9910435676574707, dino_loss: 0.69921875, depth_loss: 0.0583793930709362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6855/10000 [17:57:35<6:31:39,  7.47s/it]
                                                         
{'loss': 2.1058, 'grad_norm': 3.6986536979675293, 'learning_rate': 1.2345194609605636e-05, 'epoch': 0.06}

 69%|██████▊   | 6855/10000 [17:57:35<6:31:39,  7.47s/it]the number of masks: 8
seg_loss: 0.8916780352592468, dino_loss: 0.75390625, depth_loss: 0.06381940841674805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.664852499961853, dino_loss: 0.66015625, depth_loss: 0.06620386987924576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6856/10000 [17:57:41<6:15:34,  7.17s/it]
                                                         
{'loss': 2.1887, 'grad_norm': 4.488257884979248, 'learning_rate': 1.2338065368812823e-05, 'epoch': 0.06}

 69%|██████▊   | 6856/10000 [17:57:41<6:15:34,  7.17s/it]the number of masks: 8
seg_loss: 0.8923462629318237, dino_loss: 0.72265625, depth_loss: 0.08290373533964157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7928706407546997, dino_loss: 0.6015625, depth_loss: 0.06054428219795227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6857/10000 [17:57:46<5:38:51,  6.47s/it]
                                                         
{'loss': 1.7468, 'grad_norm': 8.636685371398926, 'learning_rate': 1.2330937512710153e-05, 'epoch': 0.06}

 69%|██████▊   | 6857/10000 [17:57:46<5:38:51,  6.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7168208360671997, dino_loss: 0.72265625, depth_loss: 0.07367322593927383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5848525762557983, dino_loss: 0.67578125, depth_loss: 0.059098273515701294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6858/10000 [17:57:53<5:51:06,  6.70s/it]
                                                         
{'loss': 1.7618, 'grad_norm': 2.7362310886383057, 'learning_rate': 1.2323811042077096e-05, 'epoch': 0.06}

 69%|██████▊   | 6858/10000 [17:57:53<5:51:06,  6.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8254002332687378, dino_loss: 0.6796875, depth_loss: 0.05165339633822441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8632096648216248, dino_loss: 0.6171875, depth_loss: 0.04691898822784424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6859/10000 [17:58:03<6:42:48,  7.69s/it]
                                                         
{'loss': 2.5239, 'grad_norm': 5.068390846252441, 'learning_rate': 1.2316685957693008e-05, 'epoch': 0.06}

 69%|██████▊   | 6859/10000 [17:58:03<6:42:48,  7.69s/it]the number of masks: 8
seg_loss: 0.7401524186134338, dino_loss: 0.6875, depth_loss: 0.0612126886844635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1682442426681519, dino_loss: 0.6640625, depth_loss: 0.058842964470386505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6860/10000 [17:58:11<6:43:05,  7.70s/it]
                                                         
{'loss': 2.3901, 'grad_norm': 3.472768545150757, 'learning_rate': 1.2309562260337073e-05, 'epoch': 0.06}

 69%|██████▊   | 6860/10000 [17:58:11<6:43:05,  7.70s/it]the number of masks: 8
seg_loss: 0.8610391616821289, dino_loss: 0.625, depth_loss: 0.05371207743883133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.686926543712616, dino_loss: 0.7265625, depth_loss: 0.07077918946743011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6861/10000 [17:58:19<6:51:19,  7.86s/it]
                                                         
{'loss': 2.1204, 'grad_norm': 3.71386456489563, 'learning_rate': 1.2302439950788342e-05, 'epoch': 0.06}

 69%|██████▊   | 6861/10000 [17:58:19<6:51:19,  7.86s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.851151704788208, dino_loss: 0.6328125, depth_loss: 0.0936942771077156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7977118492126465, dino_loss: 0.66796875, depth_loss: 0.06882455945014954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6862/10000 [17:58:27<6:48:14,  7.81s/it]
                                                         
{'loss': 2.3437, 'grad_norm': 3.880943775177002, 'learning_rate': 1.2295319029825674e-05, 'epoch': 0.06}

 69%|██████▊   | 6862/10000 [17:58:27<6:48:14,  7.81s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7455911636352539, dino_loss: 0.6953125, depth_loss: 0.06369023025035858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7172892093658447, dino_loss: 0.72265625, depth_loss: 0.06666922569274902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6863/10000 [17:58:34<6:39:46,  7.65s/it]
                                                         
{'loss': 2.0037, 'grad_norm': 8.597739219665527, 'learning_rate': 1.2288199498227828e-05, 'epoch': 0.06}

 69%|██████▊   | 6863/10000 [17:58:34<6:39:46,  7.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7539310455322266, dino_loss: 0.67578125, depth_loss: 0.05136023089289665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7197985649108887, dino_loss: 0.69921875, depth_loss: 0.0361068956553936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6864/10000 [17:58:44<7:11:36,  8.26s/it]
                                                         
{'loss': 2.017, 'grad_norm': 6.437736511230469, 'learning_rate': 1.2281081356773364e-05, 'epoch': 0.06}

 69%|██████▊   | 6864/10000 [17:58:44<7:11:36,  8.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7537869811058044, dino_loss: 0.6875, depth_loss: 0.05958022177219391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.064075231552124, dino_loss: 0.66796875, depth_loss: 0.07609643787145615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6865/10000 [17:58:54<7:35:18,  8.71s/it]
                                                         
{'loss': 2.2985, 'grad_norm': 3.109346389770508, 'learning_rate': 1.2273964606240718e-05, 'epoch': 0.06}

 69%|██████▊   | 6865/10000 [17:58:54<7:35:18,  8.71s/it]seg_loss: 0.0, dino_loss: 0.71484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9726207256317139, dino_loss: 0.68359375, depth_loss: 0.06424564123153687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6866/10000 [17:59:01<7:15:02,  8.33s/it]
                                                         
{'loss': 2.0991, 'grad_norm': 3.334829330444336, 'learning_rate': 1.2266849247408171e-05, 'epoch': 0.06}

 69%|██████▊   | 6866/10000 [17:59:01<7:15:02,  8.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6878746747970581, dino_loss: 0.640625, depth_loss: 0.049498237669467926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9598422050476074, dino_loss: 0.6640625, depth_loss: 0.05680294334888458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6867/10000 [17:59:09<7:09:20,  8.22s/it]
                                                         
{'loss': 2.431, 'grad_norm': 7.091006755828857, 'learning_rate': 1.2259735281053854e-05, 'epoch': 0.06}

 69%|██████▊   | 6867/10000 [17:59:09<7:09:20,  8.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9367892146110535, dino_loss: 0.69921875, depth_loss: 0.09251069277524948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9731457233428955, dino_loss: 0.66015625, depth_loss: 0.04899304360151291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6868/10000 [17:59:20<7:48:38,  8.98s/it]
                                                         
{'loss': 3.0994, 'grad_norm': 3.644448757171631, 'learning_rate': 1.2252622707955725e-05, 'epoch': 0.06}

 69%|██████▊   | 6868/10000 [17:59:20<7:48:38,  8.98s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7086061239242554, dino_loss: 0.6953125, depth_loss: 0.046877071261405945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.700250506401062, dino_loss: 0.60546875, depth_loss: 0.05515395477414131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6869/10000 [17:59:28<7:45:04,  8.91s/it]
                                                         
{'loss': 2.1757, 'grad_norm': 3.2847611904144287, 'learning_rate': 1.2245511528891618e-05, 'epoch': 0.06}

 69%|██████▊   | 6869/10000 [17:59:28<7:45:04,  8.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.137984037399292, dino_loss: 0.66796875, depth_loss: 0.07128875702619553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8996387720108032, dino_loss: 0.66015625, depth_loss: 0.06699573248624802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6870/10000 [17:59:38<7:52:40,  9.06s/it]
                                                         
{'loss': 2.5446, 'grad_norm': 4.575556755065918, 'learning_rate': 1.2238401744639185e-05, 'epoch': 0.06}

 69%|██████▊   | 6870/10000 [17:59:38<7:52:40,  9.06s/it]seg_loss: 0.0, dino_loss: 0.58984375, depth_loss: 0.049159061163663864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7880591154098511, dino_loss: 0.6640625, depth_loss: 0.04394826292991638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6871/10000 [17:59:44<7:10:39,  8.26s/it]
                                                         
{'loss': 1.636, 'grad_norm': 3.956575393676758, 'learning_rate': 1.223129335597595e-05, 'epoch': 0.06}

 69%|██████▊   | 6871/10000 [17:59:44<7:10:39,  8.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9695743918418884, dino_loss: 0.62890625, depth_loss: 0.039900343865156174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8513624668121338, dino_loss: 0.62109375, depth_loss: 0.048018671572208405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6872/10000 [17:59:53<7:24:50,  8.53s/it]
                                                         
{'loss': 2.3477, 'grad_norm': 2.923652410507202, 'learning_rate': 1.222418636367928e-05, 'epoch': 0.06}

 69%|██████▊   | 6872/10000 [17:59:53<7:24:50,  8.53s/it]the number of masks: 8
seg_loss: 0.8692469596862793, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8509755730628967, dino_loss: 0.66796875, depth_loss: 0.06662233173847198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6873/10000 [17:59:59<6:45:26,  7.78s/it]
                                                         
{'loss': 1.9746, 'grad_norm': 7.396069049835205, 'learning_rate': 1.2217080768526387e-05, 'epoch': 0.06}

 69%|██████▊   | 6873/10000 [17:59:59<6:45:26,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.159778356552124, dino_loss: 0.71875, depth_loss: 0.04758257791399956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.073423147201538, dino_loss: 0.0, depth_loss: 0.07757524400949478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▊   | 6874/10000 [18:00:07<6:37:51,  7.64s/it]
                                                         
{'loss': 2.0419, 'grad_norm': 4.469505310058594, 'learning_rate': 1.2209976571294313e-05, 'epoch': 0.06}

 69%|██████▊   | 6874/10000 [18:00:07<6:37:51,  7.64s/it]the number of masks: 8
seg_loss: 0.9797478318214417, dino_loss: 0.625, depth_loss: 0.029747916385531425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9713468551635742, dino_loss: 0.6953125, depth_loss: 0.04711991921067238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6875/10000 [18:00:12<5:57:55,  6.87s/it]
                                                         
{'loss': 2.3582, 'grad_norm': 6.315096378326416, 'learning_rate': 1.2202873772759981e-05, 'epoch': 0.06}

 69%|██████▉   | 6875/10000 [18:00:12<5:57:55,  6.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8361855745315552, dino_loss: 0.69921875, depth_loss: 0.05548301339149475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8923330307006836, dino_loss: 0.703125, depth_loss: 0.06756936758756638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6876/10000 [18:00:19<6:09:01,  7.09s/it]
                                                         
{'loss': 2.2949, 'grad_norm': 2.8557918071746826, 'learning_rate': 1.2195772373700126e-05, 'epoch': 0.06}

 69%|██████▉   | 6876/10000 [18:00:19<6:09:01,  7.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.4354294240474701, dino_loss: 0.5859375, depth_loss: 0.03550795465707779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6845906972885132, dino_loss: 0.65234375, depth_loss: 0.05175881087779999, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6877/10000 [18:00:29<6:54:25,  7.96s/it]
                                                         
{'loss': 1.7905, 'grad_norm': 3.839931011199951, 'learning_rate': 1.2188672374891352e-05, 'epoch': 0.06}

 69%|██████▉   | 6877/10000 [18:00:29<6:54:25,  7.96s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8363852500915527, dino_loss: 0.60546875, depth_loss: 0.03588595241308212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9206332564353943, dino_loss: 0.68359375, depth_loss: 0.07331477105617523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6878/10000 [18:00:37<6:53:45,  7.95s/it]
                                                         
{'loss': 1.874, 'grad_norm': 2.490962266921997, 'learning_rate': 1.2181573777110106e-05, 'epoch': 0.06}

 69%|██████▉   | 6878/10000 [18:00:37<6:53:45,  7.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8211550116539001, dino_loss: 0.7421875, depth_loss: 0.05047929286956787, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7750763297080994, dino_loss: 0.69921875, depth_loss: 0.05510877072811127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6879/10000 [18:00:48<7:30:17,  8.66s/it]
                                                         
{'loss': 1.6228, 'grad_norm': 4.53511381149292, 'learning_rate': 1.2174476581132687e-05, 'epoch': 0.06}

 69%|██████▉   | 6879/10000 [18:00:48<7:30:17,  8.66s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9553030133247375, dino_loss: 0.69921875, depth_loss: 0.06388197094202042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7410331964492798, dino_loss: 0.890625, depth_loss: 0.11606020480394363, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6880/10000 [18:00:56<7:25:56,  8.58s/it]
                                                         
{'loss': 2.2659, 'grad_norm': 4.253078937530518, 'learning_rate': 1.216738078773522e-05, 'epoch': 0.06}

 69%|██████▉   | 6880/10000 [18:00:56<7:25:56,  8.58s/it]the number of masks: 8
seg_loss: 1.04315984249115, dino_loss: 0.7421875, depth_loss: 0.05459180474281311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 1
seg_loss: 1.0324052572250366, dino_loss: 0.6484375, depth_loss: 0.05488007515668869, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6881/10000 [18:01:03<7:06:12,  8.20s/it]
                                                         
{'loss': 2.5931, 'grad_norm': 3.3815178871154785, 'learning_rate': 1.2160286397693693e-05, 'epoch': 0.06}

 69%|██████▉   | 6881/10000 [18:01:03<7:06:12,  8.20s/it]seg_loss: 0.0, dino_loss: 0.69921875, depth_loss: 0.05978524312376976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6240797638893127, dino_loss: 0.6328125, depth_loss: 0.035918377339839935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6882/10000 [18:01:09<6:18:11,  7.28s/it]
                                                         
{'loss': 1.1235, 'grad_norm': 2.92668080329895, 'learning_rate': 1.2153193411783953e-05, 'epoch': 0.06}

 69%|██████▉   | 6882/10000 [18:01:09<6:18:11,  7.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9561330676078796, dino_loss: 0.73046875, depth_loss: 0.11287179589271545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8438894748687744, dino_loss: 0.6171875, depth_loss: 0.05067000165581703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6883/10000 [18:01:19<7:05:34,  8.19s/it]
                                                         
{'loss': 2.6302, 'grad_norm': 4.817694187164307, 'learning_rate': 1.2146101830781656e-05, 'epoch': 0.06}

 69%|██████▉   | 6883/10000 [18:01:19<7:05:34,  8.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7430698275566101, dino_loss: 0.50390625, depth_loss: 0.04622950404882431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0318565368652344, dino_loss: 0.66015625, depth_loss: 0.060993269085884094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6884/10000 [18:01:25<6:41:21,  7.73s/it]
                                                         
{'loss': 1.597, 'grad_norm': 5.480474472045898, 'learning_rate': 1.2139011655462337e-05, 'epoch': 0.06}

 69%|██████▉   | 6884/10000 [18:01:25<6:41:21,  7.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.7550405263900757, dino_loss: 0.609375, depth_loss: 0.03834495320916176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6476317644119263, dino_loss: 0.65234375, depth_loss: 0.05637596920132637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6885/10000 [18:01:35<7:04:42,  8.18s/it]
                                                         
{'loss': 1.8721, 'grad_norm': 2.2779715061187744, 'learning_rate': 1.2131922886601368e-05, 'epoch': 0.06}

 69%|██████▉   | 6885/10000 [18:01:35<7:04:42,  8.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8955121040344238, dino_loss: 0.58984375, depth_loss: 0.062477484345436096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.784390389919281, dino_loss: 0.6875, depth_loss: 0.0643940195441246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6886/10000 [18:01:45<7:36:40,  8.80s/it]
                                                         
{'loss': 1.8047, 'grad_norm': 3.4158096313476562, 'learning_rate': 1.2124835524973977e-05, 'epoch': 0.06}

 69%|██████▉   | 6886/10000 [18:01:45<7:36:40,  8.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9665429592132568, dino_loss: 0.73828125, depth_loss: 0.048835303634405136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8829740285873413, dino_loss: 0.6953125, depth_loss: 0.06867179274559021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6887/10000 [18:01:53<7:30:21,  8.68s/it]
                                                         
{'loss': 2.544, 'grad_norm': 6.269527435302734, 'learning_rate': 1.2117749571355202e-05, 'epoch': 0.06}

 69%|██████▉   | 6887/10000 [18:01:53<7:30:21,  8.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8883219957351685, dino_loss: 0.67578125, depth_loss: 0.06282250583171844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.66371750831604, dino_loss: 0.6484375, depth_loss: 0.04847228154540062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6888/10000 [18:02:00<6:58:24,  8.07s/it]
                                                         
{'loss': 2.3332, 'grad_norm': 5.129368305206299, 'learning_rate': 1.2110665026519976e-05, 'epoch': 0.06}

 69%|██████▉   | 6888/10000 [18:02:00<6:58:24,  8.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.940960168838501, dino_loss: 0.68359375, depth_loss: 0.06739889085292816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6849629282951355, dino_loss: 0.69140625, depth_loss: 0.051966991275548935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6889/10000 [18:02:11<7:37:29,  8.82s/it]
                                                         
{'loss': 1.9434, 'grad_norm': 5.5978102684021, 'learning_rate': 1.2103581891243034e-05, 'epoch': 0.06}

 69%|██████▉   | 6889/10000 [18:02:11<7:37:29,  8.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7306442260742188, dino_loss: 0.6796875, depth_loss: 0.058506280183792114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9880785942077637, dino_loss: 0.7578125, depth_loss: 0.059118226170539856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6890/10000 [18:02:18<7:16:06,  8.41s/it]
                                                         
{'loss': 2.3024, 'grad_norm': 6.183835029602051, 'learning_rate': 1.209650016629899e-05, 'epoch': 0.06}

 69%|██████▉   | 6890/10000 [18:02:18<7:16:06,  8.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8737097382545471, dino_loss: 0.64453125, depth_loss: 0.06582792103290558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.781883716583252, dino_loss: 0.6484375, depth_loss: 0.06469757854938507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6891/10000 [18:02:27<7:30:04,  8.69s/it]
                                                         
{'loss': 2.1253, 'grad_norm': 3.118533134460449, 'learning_rate': 1.2089419852462286e-05, 'epoch': 0.06}

 69%|██████▉   | 6891/10000 [18:02:27<7:30:04,  8.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9055666923522949, dino_loss: 0.61328125, depth_loss: 0.032799132168293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
seg_loss: 0.8131392002105713, dino_loss: 0.0, depth_loss: 0.04849047586321831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6892/10000 [18:02:36<7:22:20,  8.54s/it]
                                                         
{'loss': 1.9983, 'grad_norm': 4.880030155181885, 'learning_rate': 1.2082340950507226e-05, 'epoch': 0.06}

 69%|██████▉   | 6892/10000 [18:02:36<7:22:20,  8.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0158319473266602, dino_loss: 0.58984375, depth_loss: 0.05536600202322006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9887886047363281, dino_loss: 0.63671875, depth_loss: 0.07859915494918823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6893/10000 [18:02:44<7:24:01,  8.57s/it]
                                                         
{'loss': 2.4073, 'grad_norm': 3.984203338623047, 'learning_rate': 1.2075263461207929e-05, 'epoch': 0.06}

 69%|██████▉   | 6893/10000 [18:02:44<7:24:01,  8.57s/it]the number of masks: 8
seg_loss: 1.0383124351501465, dino_loss: 0.70703125, depth_loss: 0.07784094661474228, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5658665895462036, dino_loss: 0.5390625, depth_loss: 0.03957134485244751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6894/10000 [18:02:53<7:21:48,  8.53s/it]
                                                         
{'loss': 2.153, 'grad_norm': 4.105113983154297, 'learning_rate': 1.2068187385338395e-05, 'epoch': 0.06}

 69%|██████▉   | 6894/10000 [18:02:53<7:21:48,  8.53s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8536398410797119, dino_loss: 0.7265625, depth_loss: 0.06708286702632904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0033987760543823, dino_loss: 0.6328125, depth_loss: 0.11063427478075027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6895/10000 [18:03:00<7:04:52,  8.21s/it]
                                                         
{'loss': 2.4266, 'grad_norm': 3.300806760787964, 'learning_rate': 1.2061112723672438e-05, 'epoch': 0.06}

 69%|██████▉   | 6895/10000 [18:03:00<7:04:52,  8.21s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8808850049972534, dino_loss: 0.67578125, depth_loss: 0.06656431406736374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8372958898544312, dino_loss: 0.69921875, depth_loss: 0.056518685072660446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6896/10000 [18:03:07<6:40:50,  7.75s/it]
                                                         
{'loss': 2.2603, 'grad_norm': 7.80509614944458, 'learning_rate': 1.205403947698374e-05, 'epoch': 0.06}

 69%|██████▉   | 6896/10000 [18:03:07<6:40:50,  7.75s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.6558705568313599, dino_loss: 0.73828125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.027288794517517, dino_loss: 0.640625, depth_loss: 0.05848570913076401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6897/10000 [18:03:14<6:33:58,  7.62s/it]
                                                         
{'loss': 3.5143, 'grad_norm': 12.751304626464844, 'learning_rate': 1.204696764604582e-05, 'epoch': 0.06}

 69%|██████▉   | 6897/10000 [18:03:14<6:33:58,  7.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7889518737792969, dino_loss: 0.5859375, depth_loss: 0.05057976767420769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9816352725028992, dino_loss: 0.6953125, depth_loss: 0.0687151700258255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6898/10000 [18:03:24<7:09:16,  8.30s/it]
                                                         
{'loss': 2.3151, 'grad_norm': 3.595032215118408, 'learning_rate': 1.2039897231632055e-05, 'epoch': 0.06}

 69%|██████▉   | 6898/10000 [18:03:24<7:09:16,  8.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9272236824035645, dino_loss: 0.67578125, depth_loss: 0.056937526911497116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6934375166893005, dino_loss: 0.70703125, depth_loss: 0.06775414198637009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6899/10000 [18:03:33<7:20:44,  8.53s/it]
                                                         
{'loss': 2.3041, 'grad_norm': 6.637812614440918, 'learning_rate': 1.2032828234515633e-05, 'epoch': 0.06}

 69%|██████▉   | 6899/10000 [18:03:33<7:20:44,  8.53s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5551215410232544, dino_loss: 0.703125, depth_loss: 0.06194710731506348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.673917293548584, dino_loss: 0.56640625, depth_loss: 0.06244685500860214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6900/10000 [18:03:41<7:14:01,  8.40s/it]
                                                         
{'loss': 2.2157, 'grad_norm': 2.7603909969329834, 'learning_rate': 1.202576065546963e-05, 'epoch': 0.06}

 69%|██████▉   | 6900/10000 [18:03:41<7:14:01,  8.40s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6199749112129211, dino_loss: 0.61328125, depth_loss: 0.04590541124343872, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0755667686462402, dino_loss: 0.640625, depth_loss: 0.05996193736791611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6901/10000 [18:03:48<6:43:02,  7.80s/it]
                                                         
{'loss': 1.9355, 'grad_norm': 2.3473222255706787, 'learning_rate': 1.2018694495266924e-05, 'epoch': 0.06}

 69%|██████▉   | 6901/10000 [18:03:48<6:43:02,  7.80s/it]the number of masks: 8
seg_loss: 0.766845703125, dino_loss: 0.67578125, depth_loss: 0.0636400431394577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7108914852142334, dino_loss: 0.486328125, depth_loss: 0.02574944496154785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6902/10000 [18:03:55<6:34:23,  7.64s/it]
                                                         
{'loss': 2.2252, 'grad_norm': 10.859892845153809, 'learning_rate': 1.201162975468027e-05, 'epoch': 0.06}

 69%|██████▉   | 6902/10000 [18:03:55<6:34:23,  7.64s/it]the number of masks: 8
seg_loss: 1.1110460758209229, dino_loss: 0.66015625, depth_loss: 0.06527688354253769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8723551034927368, dino_loss: 0.0, depth_loss: 0.0564182847738266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6903/10000 [18:04:00<5:55:13,  6.88s/it]
                                                         
{'loss': 1.9701, 'grad_norm': 5.783349514007568, 'learning_rate': 1.2004566434482261e-05, 'epoch': 0.06}

 69%|██████▉   | 6903/10000 [18:04:00<5:55:13,  6.88s/it]the number of masks: 8
seg_loss: 1.0385687351226807, dino_loss: 0.6796875, depth_loss: 0.07125093042850494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9467854499816895, dino_loss: 0.71875, depth_loss: 0.06024990975856781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6904/10000 [18:04:07<6:03:28,  7.04s/it]
                                                         
{'loss': 2.2753, 'grad_norm': 5.695621013641357, 'learning_rate': 1.1997504535445336e-05, 'epoch': 0.06}

 69%|██████▉   | 6904/10000 [18:04:07<6:03:28,  7.04s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8163571953773499, dino_loss: 0.72265625, depth_loss: 0.06726407259702682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8742834329605103, dino_loss: 0.6484375, depth_loss: 0.04240338131785393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6905/10000 [18:04:14<5:59:25,  6.97s/it]
                                                         
{'loss': 2.6657, 'grad_norm': 8.731057167053223, 'learning_rate': 1.1990444058341757e-05, 'epoch': 0.06}

 69%|██████▉   | 6905/10000 [18:04:14<5:59:25,  6.97s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8682805299758911, dino_loss: 0.67578125, depth_loss: 0.07196539640426636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.929694414138794, dino_loss: 0.62890625, depth_loss: 0.054952774196863174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6906/10000 [18:04:23<6:30:24,  7.57s/it]
                                                         
{'loss': 1.9619, 'grad_norm': 3.7495779991149902, 'learning_rate': 1.1983385003943658e-05, 'epoch': 0.06}

 69%|██████▉   | 6906/10000 [18:04:23<6:30:24,  7.57s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.849988579750061, dino_loss: 0.7109375, depth_loss: 0.058152951300144196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8607750535011292, dino_loss: 0.70703125, depth_loss: 0.05464140325784683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6907/10000 [18:04:31<6:41:05,  7.78s/it]
                                                         
{'loss': 2.3751, 'grad_norm': 2.7802953720092773, 'learning_rate': 1.1976327373023013e-05, 'epoch': 0.06}

 69%|██████▉   | 6907/10000 [18:04:31<6:41:05,  7.78s/it]the number of masks: 8
seg_loss: 0.7234805822372437, dino_loss: 0.68359375, depth_loss: 0.05120839923620224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6290352940559387, dino_loss: 0.63671875, depth_loss: 0.05016277730464935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6908/10000 [18:04:38<6:28:08,  7.53s/it]
                                                         
{'loss': 2.4749, 'grad_norm': 13.865463256835938, 'learning_rate': 1.1969271166351614e-05, 'epoch': 0.06}

 69%|██████▉   | 6908/10000 [18:04:38<6:28:08,  7.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8834795951843262, dino_loss: 0.6796875, depth_loss: 0.042070407420396805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.966228723526001, dino_loss: 0.6796875, depth_loss: 0.07013435661792755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6909/10000 [18:04:48<7:05:22,  8.26s/it]
                                                         
{'loss': 2.3493, 'grad_norm': 3.2437427043914795, 'learning_rate': 1.1962216384701134e-05, 'epoch': 0.06}

 69%|██████▉   | 6909/10000 [18:04:48<7:05:22,  8.26s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7446544170379639, dino_loss: 0.7265625, depth_loss: 0.06011377274990082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6444320678710938, dino_loss: 0.734375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6910/10000 [18:04:54<6:30:37,  7.58s/it]
                                                         
{'loss': 2.2253, 'grad_norm': 3.9688196182250977, 'learning_rate': 1.1955163028843063e-05, 'epoch': 0.06}

 69%|██████▉   | 6910/10000 [18:04:54<6:30:37,  7.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7927982211112976, dino_loss: 0.6484375, depth_loss: 0.049715861678123474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8898136019706726, dino_loss: 0.65234375, depth_loss: 0.06282820552587509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6911/10000 [18:05:03<6:48:22,  7.93s/it]
                                                         
{'loss': 2.4474, 'grad_norm': 3.7492215633392334, 'learning_rate': 1.1948111099548762e-05, 'epoch': 0.06}

 69%|██████▉   | 6911/10000 [18:05:03<6:48:22,  7.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8539580702781677, dino_loss: 0.64453125, depth_loss: 0.06259429454803467, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8987419009208679, dino_loss: 0.66015625, depth_loss: 0.07023867219686508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6912/10000 [18:05:10<6:39:47,  7.77s/it]
                                                         
{'loss': 2.3041, 'grad_norm': 5.531002044677734, 'learning_rate': 1.1941060597589399e-05, 'epoch': 0.06}

 69%|██████▉   | 6912/10000 [18:05:10<6:39:47,  7.77s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9624021649360657, dino_loss: 0.68359375, depth_loss: 0.0647357851266861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7391301989555359, dino_loss: 0.6796875, depth_loss: 0.06324481219053268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6913/10000 [18:05:20<7:07:13,  8.30s/it]
                                                         
{'loss': 2.1832, 'grad_norm': 2.348362684249878, 'learning_rate': 1.1934011523736024e-05, 'epoch': 0.06}

 69%|██████▉   | 6913/10000 [18:05:20<7:07:13,  8.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1026573181152344, dino_loss: 0.640625, depth_loss: 0.05206196755170822, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8878496885299683, dino_loss: 0.6640625, depth_loss: 0.05972865968942642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6914/10000 [18:05:29<7:18:57,  8.53s/it]
                                                         
{'loss': 2.9806, 'grad_norm': 6.084727764129639, 'learning_rate': 1.1926963878759495e-05, 'epoch': 0.06}

 69%|██████▉   | 6914/10000 [18:05:29<7:18:57,  8.53s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6804923415184021, dino_loss: 0.62109375, depth_loss: 0.058690816164016724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8752462863922119, dino_loss: 0.6875, depth_loss: 0.0580277182161808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6915/10000 [18:05:36<6:59:14,  8.15s/it]
                                                         
{'loss': 1.9948, 'grad_norm': 3.7542355060577393, 'learning_rate': 1.1919917663430552e-05, 'epoch': 0.06}

 69%|██████▉   | 6915/10000 [18:05:36<6:59:14,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6279499530792236, dino_loss: 0.5859375, depth_loss: 0.06860591471195221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9500161409378052, dino_loss: 0.70703125, depth_loss: 0.055449530482292175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6916/10000 [18:05:45<7:08:56,  8.35s/it]
                                                         
{'loss': 2.3724, 'grad_norm': 7.046555042266846, 'learning_rate': 1.1912872878519726e-05, 'epoch': 0.06}

 69%|██████▉   | 6916/10000 [18:05:45<7:08:56,  8.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.85834139585495, dino_loss: 0.70703125, depth_loss: 0.07588429749011993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8398356437683105, dino_loss: 0.66015625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6917/10000 [18:05:54<7:10:11,  8.37s/it]
                                                         
{'loss': 2.5888, 'grad_norm': 4.701962947845459, 'learning_rate': 1.1905829524797465e-05, 'epoch': 0.06}

 69%|██████▉   | 6917/10000 [18:05:54<7:10:11,  8.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7381736040115356, dino_loss: 0.72265625, depth_loss: 0.04633471369743347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7474841475486755, dino_loss: 0.73046875, depth_loss: 0.06766152381896973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6918/10000 [18:06:03<7:19:46,  8.56s/it]
                                                         
{'loss': 2.171, 'grad_norm': 5.291653156280518, 'learning_rate': 1.1898787603033995e-05, 'epoch': 0.06}

 69%|██████▉   | 6918/10000 [18:06:03<7:19:46,  8.56s/it]the number of masks: 8
seg_loss: 0.7331269383430481, dino_loss: 0.5703125, depth_loss: 0.05228012800216675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6241995096206665, dino_loss: 0.64453125, depth_loss: 0.03894807770848274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6919/10000 [18:06:10<6:58:48,  8.16s/it]
                                                         
{'loss': 1.6739, 'grad_norm': 5.497361183166504, 'learning_rate': 1.1891747113999422e-05, 'epoch': 0.06}

 69%|██████▉   | 6919/10000 [18:06:10<6:58:48,  8.16s/it]the number of masks: 8
seg_loss: 1.1010693311691284, dino_loss: 0.6484375, depth_loss: 0.0405253991484642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.054443120956421, dino_loss: 0.7265625, depth_loss: 0.06667259335517883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6920/10000 [18:06:17<6:49:03,  7.97s/it]
                                                         
{'loss': 2.7558, 'grad_norm': 4.818488597869873, 'learning_rate': 1.1884708058463668e-05, 'epoch': 0.06}

 69%|██████▉   | 6920/10000 [18:06:17<6:49:03,  7.97s/it]the number of masks: 8
seg_loss: 0.803752064704895, dino_loss: 0.640625, depth_loss: 0.04936475306749344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0160377025604248, dino_loss: 0.66796875, depth_loss: 0.04782087728381157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6921/10000 [18:06:24<6:35:20,  7.70s/it]
                                                         
{'loss': 2.3742, 'grad_norm': 5.702832221984863, 'learning_rate': 1.1877670437196528e-05, 'epoch': 0.06}

 69%|██████▉   | 6921/10000 [18:06:24<6:35:20,  7.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8480167388916016, dino_loss: 0.70703125, depth_loss: 0.046422749757766724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9949860572814941, dino_loss: 0.65234375, depth_loss: 0.050494447350502014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6922/10000 [18:06:33<6:48:22,  7.96s/it]
                                                         
{'loss': 1.8217, 'grad_norm': 3.629714012145996, 'learning_rate': 1.1870634250967605e-05, 'epoch': 0.06}

 69%|██████▉   | 6922/10000 [18:06:33<6:48:22,  7.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9388424158096313, dino_loss: 0.0, depth_loss: 0.07498840987682343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6133301854133606, dino_loss: 0.6171875, depth_loss: 0.04261195659637451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6923/10000 [18:06:42<7:06:19,  8.31s/it]
                                                         
{'loss': 1.8337, 'grad_norm': 3.240501642227173, 'learning_rate': 1.1863599500546399e-05, 'epoch': 0.06}

 69%|██████▉   | 6923/10000 [18:06:42<7:06:19,  8.31s/it]seg_loss: 0.0, dino_loss: 0.7578125, depth_loss: 0.06810086220502853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.81539386510849, dino_loss: 0.74609375, depth_loss: 0.060789670795202255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6924/10000 [18:06:49<6:37:46,  7.76s/it]
                                                         
{'loss': 1.8648, 'grad_norm': 3.276278495788574, 'learning_rate': 1.1856566186702189e-05, 'epoch': 0.06}

 69%|██████▉   | 6924/10000 [18:06:49<6:37:46,  7.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9926762580871582, dino_loss: 0.703125, depth_loss: 0.05731242895126343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8334400057792664, dino_loss: 0.76171875, depth_loss: 0.05411529168486595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6925/10000 [18:06:56<6:26:43,  7.55s/it]
                                                         
{'loss': 2.3533, 'grad_norm': 11.074618339538574, 'learning_rate': 1.1849534310204152e-05, 'epoch': 0.06}

 69%|██████▉   | 6925/10000 [18:06:56<6:26:43,  7.55s/it]the number of masks: 8
seg_loss: 1.0351645946502686, dino_loss: 0.50390625, depth_loss: 0.05352039262652397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
seg_loss: 0.46772557497024536, dino_loss: 0.0, depth_loss: 0.05010106787085533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6926/10000 [18:07:01<5:58:44,  7.00s/it]
                                                         
{'loss': 2.0111, 'grad_norm': 3.624145984649658, 'learning_rate': 1.1842503871821262e-05, 'epoch': 0.06}

 69%|██████▉   | 6926/10000 [18:07:01<5:58:44,  7.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6786239743232727, dino_loss: 0.60546875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7518438100814819, dino_loss: 0.671875, depth_loss: 0.06671181321144104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6927/10000 [18:07:13<7:09:14,  8.38s/it]
                                                         
{'loss': 1.6815, 'grad_norm': 2.3751773834228516, 'learning_rate': 1.1835474872322367e-05, 'epoch': 0.06}

 69%|██████▉   | 6927/10000 [18:07:13<7:09:14,  8.38s/it]the number of masks: 8
seg_loss: 0.9048311710357666, dino_loss: 0.66796875, depth_loss: 0.08075343072414398, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.909424364566803, dino_loss: 0.7109375, depth_loss: 0.06725737452507019, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6928/10000 [18:07:19<6:38:24,  7.78s/it]
                                                         
{'loss': 2.0291, 'grad_norm': 4.548739433288574, 'learning_rate': 1.1828447312476145e-05, 'epoch': 0.06}

 69%|██████▉   | 6928/10000 [18:07:19<6:38:24,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7061065435409546, dino_loss: 0.578125, depth_loss: 0.041759561747312546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 6
seg_loss: 0.7003077268600464, dino_loss: 0.65234375, depth_loss: 0.05319308489561081, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6929/10000 [18:07:28<6:52:45,  8.06s/it]
                                                         
{'loss': 2.0078, 'grad_norm': 5.298611640930176, 'learning_rate': 1.1821421193051132e-05, 'epoch': 0.06}

 69%|██████▉   | 6929/10000 [18:07:28<6:52:45,  8.06s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7597330808639526, dino_loss: 0.6171875, depth_loss: 0.057663723826408386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9233930110931396, dino_loss: 0.671875, depth_loss: 0.043300874531269073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6930/10000 [18:07:36<6:58:28,  8.18s/it]
                                                         
{'loss': 2.4411, 'grad_norm': 4.018152713775635, 'learning_rate': 1.1814396514815676e-05, 'epoch': 0.06}

 69%|██████▉   | 6930/10000 [18:07:36<6:58:28,  8.18s/it]the number of masks: 8
seg_loss: 0.9580835103988647, dino_loss: 0.69140625, depth_loss: 0.03394892066717148, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9253312945365906, dino_loss: 0.74609375, depth_loss: 0.05567290261387825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6931/10000 [18:07:44<6:52:42,  8.07s/it]
                                                         
{'loss': 2.736, 'grad_norm': 4.693087100982666, 'learning_rate': 1.1807373278537992e-05, 'epoch': 0.06}

 69%|██████▉   | 6931/10000 [18:07:44<6:52:42,  8.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8978028893470764, dino_loss: 0.75, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8919113874435425, dino_loss: 0.70703125, depth_loss: 0.0841512456536293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6932/10000 [18:07:51<6:32:09,  7.67s/it]
                                                         
{'loss': 2.5854, 'grad_norm': 5.366990566253662, 'learning_rate': 1.1800351484986141e-05, 'epoch': 0.06}

 69%|██████▉   | 6932/10000 [18:07:51<6:32:09,  7.67s/it]the number of masks: 8
seg_loss: 0.9862103462219238, dino_loss: 0.62890625, depth_loss: 0.05963970348238945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9269558191299438, dino_loss: 0.65625, depth_loss: 0.06937889754772186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6933/10000 [18:07:56<5:56:24,  6.97s/it]
                                                         
{'loss': 2.6505, 'grad_norm': 7.2326250076293945, 'learning_rate': 1.1793331134927996e-05, 'epoch': 0.06}

 69%|██████▉   | 6933/10000 [18:07:56<5:56:24,  6.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9979092478752136, dino_loss: 0.7109375, depth_loss: 0.06338575482368469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8498990535736084, dino_loss: 0.73046875, depth_loss: 0.08349348604679108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6934/10000 [18:08:06<6:30:00,  7.63s/it]
                                                         
{'loss': 2.6215, 'grad_norm': 4.9624457359313965, 'learning_rate': 1.178631222913131e-05, 'epoch': 0.06}

 69%|██████▉   | 6934/10000 [18:08:06<6:30:00,  7.63s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8747088313102722, dino_loss: 0.734375, depth_loss: 0.07271531969308853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.06475049257278442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6935/10000 [18:08:11<6:01:17,  7.07s/it]
                                                         
{'loss': 1.937, 'grad_norm': 2.351590871810913, 'learning_rate': 1.1779294768363639e-05, 'epoch': 0.06}

 69%|██████▉   | 6935/10000 [18:08:11<6:01:17,  7.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7310785055160522, dino_loss: 0.59765625, depth_loss: 0.05287376046180725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8583031892776489, dino_loss: 0.76953125, depth_loss: 0.05563129112124443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6936/10000 [18:08:18<5:55:52,  6.97s/it]
                                                         
{'loss': 2.4311, 'grad_norm': 2.071228265762329, 'learning_rate': 1.1772278753392429e-05, 'epoch': 0.06}

 69%|██████▉   | 6936/10000 [18:08:18<5:55:52,  6.97s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.808695912361145, dino_loss: 0.69921875, depth_loss: 0.05951225012540817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8786894083023071, dino_loss: 0.671875, depth_loss: 0.05597690865397453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6937/10000 [18:08:26<6:05:55,  7.17s/it]
                                                         
{'loss': 2.2354, 'grad_norm': 4.904214382171631, 'learning_rate': 1.1765264184984917e-05, 'epoch': 0.06}

 69%|██████▉   | 6937/10000 [18:08:26<6:05:55,  7.17s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5758904218673706, dino_loss: 0.6328125, depth_loss: 0.06685594469308853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8863803148269653, dino_loss: 0.7109375, depth_loss: 0.06735324114561081, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6938/10000 [18:08:33<6:12:41,  7.30s/it]
                                                         
{'loss': 2.0966, 'grad_norm': 4.679743766784668, 'learning_rate': 1.1758251063908227e-05, 'epoch': 0.06}

 69%|██████▉   | 6938/10000 [18:08:33<6:12:41,  7.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9519577026367188, dino_loss: 0.6953125, depth_loss: 0.07192888110876083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8667881488800049, dino_loss: 0.671875, depth_loss: 0.06903484463691711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6939/10000 [18:08:42<6:27:35,  7.60s/it]
                                                         
{'loss': 2.398, 'grad_norm': 4.317685604095459, 'learning_rate': 1.1751239390929283e-05, 'epoch': 0.06}

 69%|██████▉   | 6939/10000 [18:08:42<6:27:35,  7.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7183455228805542, dino_loss: 0.6875, depth_loss: 0.04765191674232483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.36579832434654236, dino_loss: 0.5, depth_loss: 0.028402365744113922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6940/10000 [18:08:48<6:04:07,  7.14s/it]
                                                         
{'loss': 1.8905, 'grad_norm': 4.280824661254883, 'learning_rate': 1.1744229166814888e-05, 'epoch': 0.06}

 69%|██████▉   | 6940/10000 [18:08:48<6:04:07,  7.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8423358201980591, dino_loss: 0.734375, depth_loss: 0.057849425822496414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1573388576507568, dino_loss: 0.66015625, depth_loss: 0.04636368155479431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6941/10000 [18:08:55<6:13:36,  7.33s/it]
                                                         
{'loss': 2.581, 'grad_norm': 5.97560453414917, 'learning_rate': 1.1737220392331644e-05, 'epoch': 0.06}

 69%|██████▉   | 6941/10000 [18:08:55<6:13:36,  7.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8789501190185547, dino_loss: 0.66796875, depth_loss: 0.07443851977586746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8127568960189819, dino_loss: 0.59765625, depth_loss: 0.06514540314674377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6942/10000 [18:09:05<6:42:23,  7.90s/it]
                                                         
{'loss': 2.6459, 'grad_norm': 3.3023674488067627, 'learning_rate': 1.1730213068246057e-05, 'epoch': 0.06}

 69%|██████▉   | 6942/10000 [18:09:05<6:42:23,  7.90s/it]the number of masks: 8
seg_loss: 0.8789244294166565, dino_loss: 0.69140625, depth_loss: 0.051046326756477356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0275492668151855, dino_loss: 0.66015625, depth_loss: 0.07227897644042969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6943/10000 [18:09:11<6:13:57,  7.34s/it]
                                                         
{'loss': 2.2589, 'grad_norm': 2.4991300106048584, 'learning_rate': 1.1723207195324406e-05, 'epoch': 0.06}

 69%|██████▉   | 6943/10000 [18:09:11<6:13:57,  7.34s/it]the number of masks: 8
seg_loss: 0.7811901569366455, dino_loss: 0.68359375, depth_loss: 0.04441823810338974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8101224303245544, dino_loss: 0.67578125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6944/10000 [18:09:17<5:53:31,  6.94s/it]
                                                         
{'loss': 1.9483, 'grad_norm': 2.7361059188842773, 'learning_rate': 1.1716202774332865e-05, 'epoch': 0.06}

 69%|██████▉   | 6944/10000 [18:09:17<5:53:31,  6.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7278249263763428, dino_loss: 0.66015625, depth_loss: 0.06924077868461609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8509552478790283, dino_loss: 0.6796875, depth_loss: 0.07138334214687347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6945/10000 [18:09:24<6:05:40,  7.18s/it]
                                                         
{'loss': 2.1622, 'grad_norm': 2.1887457370758057, 'learning_rate': 1.170919980603741e-05, 'epoch': 0.06}

 69%|██████▉   | 6945/10000 [18:09:24<6:05:40,  7.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9296283721923828, dino_loss: 0.7265625, depth_loss: 0.06383679807186127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1499927043914795, dino_loss: 0.66015625, depth_loss: 0.06086909770965576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6946/10000 [18:09:33<6:23:04,  7.53s/it]
                                                         
{'loss': 2.3253, 'grad_norm': 4.661910533905029, 'learning_rate': 1.1702198291203889e-05, 'epoch': 0.06}

 69%|██████▉   | 6946/10000 [18:09:33<6:23:04,  7.53s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8016247749328613, dino_loss: 0.640625, depth_loss: 0.046409010887145996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7630325555801392, dino_loss: 0.0, depth_loss: 0.041065871715545654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6947/10000 [18:09:41<6:39:42,  7.86s/it]
                                                         
{'loss': 1.9828, 'grad_norm': 4.382431983947754, 'learning_rate': 1.1695198230597951e-05, 'epoch': 0.06}

 69%|██████▉   | 6947/10000 [18:09:41<6:39:42,  7.86s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7091122269630432, dino_loss: 0.0, depth_loss: 0.05186118185520172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.045157790184021, dino_loss: 0.7265625, depth_loss: 0.07067405432462692, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6948/10000 [18:09:50<6:58:42,  8.23s/it]
                                                         
{'loss': 2.1098, 'grad_norm': 3.448434591293335, 'learning_rate': 1.1688199624985149e-05, 'epoch': 0.06}

 69%|██████▉   | 6948/10000 [18:09:50<6:58:42,  8.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5213419198989868, dino_loss: 0.62109375, depth_loss: 0.05360903590917587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.997153639793396, dino_loss: 0.63671875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 69%|██████▉   | 6949/10000 [18:09:59<6:55:30,  8.17s/it]
                                                         
{'loss': 1.7621, 'grad_norm': 4.460287570953369, 'learning_rate': 1.1681202475130814e-05, 'epoch': 0.06}

 69%|██████▉   | 6949/10000 [18:09:59<6:55:30,  8.17s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7225008606910706, dino_loss: 0.6875, depth_loss: 0.041181497275829315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.884009599685669, dino_loss: 0.69140625, depth_loss: 0.05525701865553856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6950/10000 [18:10:05<6:29:49,  7.67s/it]
                                                         
{'loss': 2.4453, 'grad_norm': 7.318570137023926, 'learning_rate': 1.1674206781800162e-05, 'epoch': 0.06}

 70%|██████▉   | 6950/10000 [18:10:05<6:29:49,  7.67s/it]the number of masks: 8
seg_loss: 0.6044682860374451, dino_loss: 0.6484375, depth_loss: 0.040085602551698685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5572620034217834, dino_loss: 0.65234375, depth_loss: 0.05237477272748947, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6951/10000 [18:10:12<6:20:57,  7.50s/it]
                                                         
{'loss': 1.5561, 'grad_norm': 5.3567609786987305, 'learning_rate': 1.166721254575821e-05, 'epoch': 0.06}

 70%|██████▉   | 6951/10000 [18:10:12<6:20:57,  7.50s/it]the number of masks: 8
seg_loss: 0.7895665168762207, dino_loss: 0.71484375, depth_loss: 0.06110408529639244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8110715746879578, dino_loss: 0.63671875, depth_loss: 0.05513973534107208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6952/10000 [18:10:19<6:17:13,  7.43s/it]
                                                         
{'loss': 2.3151, 'grad_norm': 9.230003356933594, 'learning_rate': 1.1660219767769851e-05, 'epoch': 0.06}

 70%|██████▉   | 6952/10000 [18:10:19<6:17:13,  7.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8735143542289734, dino_loss: 0.66796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7840132117271423, dino_loss: 0.70703125, depth_loss: 0.06467407196760178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6953/10000 [18:10:28<6:36:20,  7.80s/it]
                                                         
{'loss': 2.1394, 'grad_norm': 5.1951799392700195, 'learning_rate': 1.165322844859981e-05, 'epoch': 0.06}

 70%|██████▉   | 6953/10000 [18:10:28<6:36:20,  7.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.996666431427002, dino_loss: 0.73046875, depth_loss: 0.07400263100862503, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6870393753051758, dino_loss: 0.62890625, depth_loss: 0.04567531496286392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6954/10000 [18:10:38<7:01:22,  8.30s/it]
                                                         
{'loss': 1.8827, 'grad_norm': 2.536245346069336, 'learning_rate': 1.1646238589012628e-05, 'epoch': 0.06}

 70%|██████▉   | 6954/10000 [18:10:38<7:01:22,  8.30s/it]the number of masks: 8
seg_loss: 1.1444001197814941, dino_loss: 0.703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7767828106880188, dino_loss: 0.0, depth_loss: 0.02979525551199913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6955/10000 [18:10:44<6:36:21,  7.81s/it]
                                                         
{'loss': 2.4527, 'grad_norm': 4.52073860168457, 'learning_rate': 1.1639250189772718e-05, 'epoch': 0.06}

 70%|██████▉   | 6955/10000 [18:10:44<6:36:21,  7.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8127106428146362, dino_loss: 0.671875, depth_loss: 0.09476222097873688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.94004225730896, dino_loss: 0.6796875, depth_loss: 0.06417720019817352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6956/10000 [18:10:55<7:15:48,  8.59s/it]
                                                         
{'loss': 2.1627, 'grad_norm': 5.692814826965332, 'learning_rate': 1.1632263251644321e-05, 'epoch': 0.06}

 70%|██████▉   | 6956/10000 [18:10:55<7:15:48,  8.59s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9674954414367676, dino_loss: 0.69921875, depth_loss: 0.08663308620452881, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9279801845550537, dino_loss: 0.625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6957/10000 [18:11:01<6:47:42,  8.04s/it]
                                                         
{'loss': 1.9024, 'grad_norm': 3.470586061477661, 'learning_rate': 1.1625277775391526e-05, 'epoch': 0.06}

 70%|██████▉   | 6957/10000 [18:11:01<6:47:42,  8.04s/it]the number of masks: 8
seg_loss: 0.9483267068862915, dino_loss: 0.7734375, depth_loss: 0.07715308666229248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0855273008346558, dino_loss: 0.640625, depth_loss: 0.07647283375263214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6958/10000 [18:11:09<6:36:46,  7.83s/it]
                                                         
{'loss': 2.3073, 'grad_norm': 3.3481924533843994, 'learning_rate': 1.1618293761778235e-05, 'epoch': 0.06}

 70%|██████▉   | 6958/10000 [18:11:09<6:36:46,  7.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.806381106376648, dino_loss: 0.703125, depth_loss: 0.057019785046577454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6328125, depth_loss: 0.060479383915662766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6959/10000 [18:11:15<6:13:40,  7.37s/it]
                                                         
{'loss': 1.9232, 'grad_norm': 2.1929805278778076, 'learning_rate': 1.1611311211568229e-05, 'epoch': 0.06}

 70%|██████▉   | 6959/10000 [18:11:15<6:13:40,  7.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7691386938095093, dino_loss: 0.6484375, depth_loss: 0.04665067791938782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9112670421600342, dino_loss: 0.6875, depth_loss: 0.04883863776922226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6960/10000 [18:11:24<6:39:25,  7.88s/it]
                                                         
{'loss': 2.1555, 'grad_norm': 2.910792112350464, 'learning_rate': 1.1604330125525079e-05, 'epoch': 0.06}

 70%|██████▉   | 6960/10000 [18:11:24<6:39:25,  7.88s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9286097288131714, dino_loss: 0.625, depth_loss: 0.042854927480220795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7783923149108887, dino_loss: 0.6015625, depth_loss: 0.055052317678928375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6961/10000 [18:11:31<6:20:54,  7.52s/it]
                                                         
{'loss': 2.241, 'grad_norm': 5.229135513305664, 'learning_rate': 1.1597350504412265e-05, 'epoch': 0.06}

 70%|██████▉   | 6961/10000 [18:11:31<6:20:54,  7.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8596504926681519, dino_loss: 0.71484375, depth_loss: 0.0705750584602356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.918790876865387, dino_loss: 0.71875, depth_loss: 0.06380248069763184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6962/10000 [18:11:37<5:59:54,  7.11s/it]
                                                         
{'loss': 2.3034, 'grad_norm': 5.640956401824951, 'learning_rate': 1.1590372348993043e-05, 'epoch': 0.06}

 70%|██████▉   | 6962/10000 [18:11:37<5:59:54,  7.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7409282922744751, dino_loss: 0.71875, depth_loss: 0.053631898015737534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0026867389678955, dino_loss: 0.65625, depth_loss: 0.06066657602787018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6963/10000 [18:11:46<6:23:27,  7.58s/it]
                                                         
{'loss': 1.9271, 'grad_norm': 3.639443874359131, 'learning_rate': 1.1583395660030547e-05, 'epoch': 0.06}

 70%|██████▉   | 6963/10000 [18:11:46<6:23:27,  7.58s/it]the number of masks: 8
seg_loss: 0.80241858959198, dino_loss: 0.578125, depth_loss: 0.053511422127485275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7504404783248901, dino_loss: 0.69140625, depth_loss: 0.07539475709199905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6964/10000 [18:11:53<6:19:15,  7.50s/it]
                                                         
{'loss': 1.8466, 'grad_norm': 8.765067100524902, 'learning_rate': 1.157642043828772e-05, 'epoch': 0.06}

 70%|██████▉   | 6964/10000 [18:11:53<6:19:15,  7.50s/it]the number of masks: 8
seg_loss: 0.8455907702445984, dino_loss: 0.0, depth_loss: 0.08890307694673538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8461862802505493, dino_loss: 0.0, depth_loss: 0.047740280628204346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6965/10000 [18:11:58<5:49:50,  6.92s/it]
                                                         
{'loss': 2.1702, 'grad_norm': 6.315497398376465, 'learning_rate': 1.1569446684527383e-05, 'epoch': 0.06}

 70%|██████▉   | 6965/10000 [18:11:58<5:49:50,  6.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.980433464050293, dino_loss: 0.6875, depth_loss: 0.037591442465782166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7493877410888672, dino_loss: 0.703125, depth_loss: 0.0890745297074318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6966/10000 [18:12:07<6:13:03,  7.38s/it]
                                                         
{'loss': 2.6444, 'grad_norm': 6.732358932495117, 'learning_rate': 1.1562474399512143e-05, 'epoch': 0.06}

 70%|██████▉   | 6966/10000 [18:12:07<6:13:03,  7.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8875595331192017, dino_loss: 0.68359375, depth_loss: 0.09349227696657181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9673771858215332, dino_loss: 0.73828125, depth_loss: 0.07004228234291077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6967/10000 [18:12:14<6:13:54,  7.40s/it]
                                                         
{'loss': 1.7918, 'grad_norm': 4.429722309112549, 'learning_rate': 1.155550358400452e-05, 'epoch': 0.06}

 70%|██████▉   | 6967/10000 [18:12:14<6:13:54,  7.40s/it]the number of masks: 8
seg_loss: 1.0908491611480713, dino_loss: 0.0, depth_loss: 0.06825615465641022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9580273032188416, dino_loss: 0.65625, depth_loss: 0.048501744866371155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6968/10000 [18:12:22<6:15:57,  7.44s/it]
                                                         
{'loss': 1.836, 'grad_norm': 3.241931915283203, 'learning_rate': 1.1548534238766803e-05, 'epoch': 0.06}

 70%|██████▉   | 6968/10000 [18:12:22<6:15:57,  7.44s/it]the number of masks: 8
seg_loss: 0.8927505016326904, dino_loss: 0.7578125, depth_loss: 0.05370396375656128, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8704074025154114, dino_loss: 0.68359375, depth_loss: 0.0850948691368103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6969/10000 [18:12:30<6:26:27,  7.65s/it]
                                                         
{'loss': 2.2343, 'grad_norm': 2.597949266433716, 'learning_rate': 1.1541566364561166e-05, 'epoch': 0.06}

 70%|██████▉   | 6969/10000 [18:12:30<6:26:27,  7.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6075649261474609, dino_loss: 0.66015625, depth_loss: 0.06691949814558029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7418606877326965, dino_loss: 0.625, depth_loss: 0.04612579941749573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6970/10000 [18:12:41<7:15:23,  8.62s/it]
                                                         
{'loss': 2.0536, 'grad_norm': 4.202613830566406, 'learning_rate': 1.1534599962149587e-05, 'epoch': 0.06}

 70%|██████▉   | 6970/10000 [18:12:41<7:15:23,  8.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.692238986492157, dino_loss: 0.65234375, depth_loss: 0.06953666359186172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9116262197494507, dino_loss: 0.67578125, depth_loss: 0.04776407778263092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6971/10000 [18:12:48<6:44:59,  8.02s/it]
                                                         
{'loss': 2.0913, 'grad_norm': 3.7761478424072266, 'learning_rate': 1.152763503229392e-05, 'epoch': 0.06}

 70%|██████▉   | 6971/10000 [18:12:48<6:44:59,  8.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.831059455871582, dino_loss: 0.63671875, depth_loss: 0.042300980538129807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7872543334960938, dino_loss: 0.7265625, depth_loss: 0.0803716704249382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6972/10000 [18:12:57<7:07:57,  8.48s/it]
                                                         
{'loss': 1.9605, 'grad_norm': 4.111439228057861, 'learning_rate': 1.1520671575755823e-05, 'epoch': 0.06}

 70%|██████▉   | 6972/10000 [18:12:57<7:07:57,  8.48s/it]the number of masks: 8
seg_loss: 0.9447455406188965, dino_loss: 0.671875, depth_loss: 0.06804614514112473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.937566339969635, dino_loss: 0.734375, depth_loss: 0.05491485819220543, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6973/10000 [18:13:05<7:06:15,  8.45s/it]
                                                         
{'loss': 2.4171, 'grad_norm': 6.562988758087158, 'learning_rate': 1.1513709593296816e-05, 'epoch': 0.06}

 70%|██████▉   | 6973/10000 [18:13:05<7:06:15,  8.45s/it]the number of masks: 8
seg_loss: 0.9627448320388794, dino_loss: 0.671875, depth_loss: 0.08037351071834564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9454438090324402, dino_loss: 0.62109375, depth_loss: 0.04722083359956741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6974/10000 [18:13:14<7:01:53,  8.37s/it]
                                                         
{'loss': 2.4405, 'grad_norm': 2.7872564792633057, 'learning_rate': 1.150674908567825e-05, 'epoch': 0.06}

 70%|██████▉   | 6974/10000 [18:13:14<7:01:53,  8.37s/it]the number of masks: 8
seg_loss: 0.853317141532898, dino_loss: 0.0, depth_loss: 0.06303958594799042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4299352467060089, dino_loss: 0.6796875, depth_loss: 0.05458739027380943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6975/10000 [18:13:19<6:16:37,  7.47s/it]
                                                         
{'loss': 1.9327, 'grad_norm': 4.612452030181885, 'learning_rate': 1.1499790053661327e-05, 'epoch': 0.06}

 70%|██████▉   | 6975/10000 [18:13:19<6:16:37,  7.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1393219232559204, dino_loss: 0.69140625, depth_loss: 0.06666725128889084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8612412810325623, dino_loss: 0.7109375, depth_loss: 0.04638504236936569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6976/10000 [18:13:27<6:19:20,  7.53s/it]
                                                         
{'loss': 2.1277, 'grad_norm': 5.336350917816162, 'learning_rate': 1.1492832498007059e-05, 'epoch': 0.06}

 70%|██████▉   | 6976/10000 [18:13:27<6:19:20,  7.53s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1604057550430298, dino_loss: 0.70703125, depth_loss: 0.04447053000330925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0468382835388184, dino_loss: 0.64453125, depth_loss: 0.06371921300888062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6977/10000 [18:13:35<6:30:39,  7.75s/it]
                                                         
{'loss': 2.4978, 'grad_norm': 7.282933235168457, 'learning_rate': 1.1485876419476322e-05, 'epoch': 0.06}

 70%|██████▉   | 6977/10000 [18:13:35<6:30:39,  7.75s/it]seg_loss: 0.0, dino_loss: 0.66796875, depth_loss: 0.03903864324092865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9572930335998535, dino_loss: 0.62109375, depth_loss: 0.05979028344154358, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6978/10000 [18:13:41<6:07:49,  7.30s/it]
                                                         
{'loss': 2.0889, 'grad_norm': 1.8459839820861816, 'learning_rate': 1.1478921818829827e-05, 'epoch': 0.06}

 70%|██████▉   | 6978/10000 [18:13:41<6:07:49,  7.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9052457809448242, dino_loss: 0.61328125, depth_loss: 0.06362073868513107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.051195502281189, dino_loss: 0.66015625, depth_loss: 0.06701602041721344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6979/10000 [18:13:47<5:50:05,  6.95s/it]
                                                         
{'loss': 2.4224, 'grad_norm': 2.6661620140075684, 'learning_rate': 1.1471968696828106e-05, 'epoch': 0.06}

 70%|██████▉   | 6979/10000 [18:13:47<5:50:05,  6.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0770983695983887, dino_loss: 0.6328125, depth_loss: 0.10469655692577362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6523383855819702, dino_loss: 0.67578125, depth_loss: 0.04809584468603134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6980/10000 [18:13:57<6:25:47,  7.66s/it]
                                                         
{'loss': 2.156, 'grad_norm': 6.256751537322998, 'learning_rate': 1.146501705423155e-05, 'epoch': 0.06}

 70%|██████▉   | 6980/10000 [18:13:57<6:25:47,  7.66s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9263570308685303, dino_loss: 0.64453125, depth_loss: 0.054759345948696136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9036247134208679, dino_loss: 0.734375, depth_loss: 0.056479714810848236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6981/10000 [18:14:06<6:44:25,  8.04s/it]
                                                         
{'loss': 2.5216, 'grad_norm': 2.570840835571289, 'learning_rate': 1.1458066891800378e-05, 'epoch': 0.06}

 70%|██████▉   | 6981/10000 [18:14:06<6:44:25,  8.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9210671782493591, dino_loss: 0.78515625, depth_loss: 0.06636349856853485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7633640170097351, dino_loss: 0.66015625, depth_loss: 0.06392724066972733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6982/10000 [18:14:14<6:50:24,  8.16s/it]
                                                         
{'loss': 2.3162, 'grad_norm': 4.001133918762207, 'learning_rate': 1.1451118210294663e-05, 'epoch': 0.06}

 70%|██████▉   | 6982/10000 [18:14:14<6:50:24,  8.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7806891202926636, dino_loss: 0.640625, depth_loss: 0.06160998344421387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7622247934341431, dino_loss: 0.65625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6983/10000 [18:14:23<7:06:27,  8.48s/it]
                                                         
{'loss': 2.2127, 'grad_norm': 4.562010765075684, 'learning_rate': 1.1444171010474278e-05, 'epoch': 0.06}

 70%|██████▉   | 6983/10000 [18:14:23<7:06:27,  8.48s/it]seg_loss: 0.0, dino_loss: 0.68359375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7562723159790039, dino_loss: 0.64453125, depth_loss: 0.0708596333861351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6984/10000 [18:14:29<6:20:26,  7.57s/it]
                                                         
{'loss': 2.0744, 'grad_norm': 1.601487159729004, 'learning_rate': 1.143722529309898e-05, 'epoch': 0.06}

 70%|██████▉   | 6984/10000 [18:14:29<6:20:26,  7.57s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.05855027586221695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
seg_loss: 0.8735321760177612, dino_loss: 0.61328125, depth_loss: 0.04683176800608635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6985/10000 [18:14:34<5:50:04,  6.97s/it]
                                                         
{'loss': 1.7326, 'grad_norm': 6.642026424407959, 'learning_rate': 1.1430281058928324e-05, 'epoch': 0.06}

 70%|██████▉   | 6985/10000 [18:14:34<5:50:04,  6.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8598670363426208, dino_loss: 0.72265625, depth_loss: 0.052978452295064926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0977733135223389, dino_loss: 0.75, depth_loss: 0.06944874674081802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6986/10000 [18:14:42<5:57:08,  7.11s/it]
                                                         
{'loss': 2.6392, 'grad_norm': 3.5781891345977783, 'learning_rate': 1.1423338308721729e-05, 'epoch': 0.06}

 70%|██████▉   | 6986/10000 [18:14:42<5:57:08,  7.11s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6026401519775391, dino_loss: 0.61328125, depth_loss: 0.034629371017217636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9919329881668091, dino_loss: 0.66015625, depth_loss: 0.061898600310087204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6987/10000 [18:14:48<5:46:46,  6.91s/it]
                                                         
{'loss': 2.2454, 'grad_norm': 4.1147027015686035, 'learning_rate': 1.1416397043238445e-05, 'epoch': 0.06}

 70%|██████▉   | 6987/10000 [18:14:48<5:46:46,  6.91s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.033475637435913, dino_loss: 0.68359375, depth_loss: 0.054540663957595825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8356091976165771, dino_loss: 0.69140625, depth_loss: 0.07843188941478729, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6988/10000 [18:14:56<6:07:31,  7.32s/it]
                                                         
{'loss': 2.3592, 'grad_norm': 4.727640628814697, 'learning_rate': 1.1409457263237566e-05, 'epoch': 0.06}

 70%|██████▉   | 6988/10000 [18:14:56<6:07:31,  7.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8092042803764343, dino_loss: 0.62109375, depth_loss: 0.06284887343645096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7478415369987488, dino_loss: 0.63671875, depth_loss: 0.05200354754924774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6989/10000 [18:15:07<6:58:55,  8.35s/it]
                                                         
{'loss': 2.3136, 'grad_norm': 3.3967769145965576, 'learning_rate': 1.1402518969478e-05, 'epoch': 0.06}

 70%|██████▉   | 6989/10000 [18:15:07<6:58:55,  8.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.053205966949463, dino_loss: 0.66796875, depth_loss: 0.0875217467546463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.05984365940094, dino_loss: 0.7890625, depth_loss: 0.06598594784736633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6990/10000 [18:15:15<6:56:52,  8.31s/it]
                                                         
{'loss': 2.673, 'grad_norm': 3.328126907348633, 'learning_rate': 1.1395582162718525e-05, 'epoch': 0.06}

 70%|██████▉   | 6990/10000 [18:15:15<6:56:52,  8.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8312968611717224, dino_loss: 0.67578125, depth_loss: 0.07729905843734741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.63671875, depth_loss: 0.05689222365617752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6991/10000 [18:15:23<6:53:49,  8.25s/it]
                                                         
{'loss': 2.3763, 'grad_norm': 2.2742233276367188, 'learning_rate': 1.1388646843717718e-05, 'epoch': 0.06}

 70%|██████▉   | 6991/10000 [18:15:23<6:53:49,  8.25s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9790275692939758, dino_loss: 0.75390625, depth_loss: 0.04744867607951164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7698085904121399, dino_loss: 0.66796875, depth_loss: 0.054022520780563354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6992/10000 [18:15:33<7:15:15,  8.68s/it]
                                                         
{'loss': 2.2299, 'grad_norm': 2.824533462524414, 'learning_rate': 1.138171301323403e-05, 'epoch': 0.06}

 70%|██████▉   | 6992/10000 [18:15:33<7:15:15,  8.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8823939561843872, dino_loss: 0.59375, depth_loss: 0.06328563392162323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7608367800712585, dino_loss: 0.7421875, depth_loss: 0.05989301949739456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6993/10000 [18:15:41<7:06:14,  8.50s/it]
                                                         
{'loss': 2.2169, 'grad_norm': 6.058817386627197, 'learning_rate': 1.1374780672025734e-05, 'epoch': 0.06}

 70%|██████▉   | 6993/10000 [18:15:41<7:06:14,  8.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.845125675201416, dino_loss: 0.60546875, depth_loss: 0.06928668171167374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.28169584274292, dino_loss: 0.6328125, depth_loss: 0.04891815409064293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6994/10000 [18:15:49<6:47:30,  8.13s/it]
                                                         
{'loss': 2.5048, 'grad_norm': 6.503373622894287, 'learning_rate': 1.1367849820850946e-05, 'epoch': 0.06}

 70%|██████▉   | 6994/10000 [18:15:49<6:47:30,  8.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8043226003646851, dino_loss: 0.69921875, depth_loss: 0.07171756029129028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.3162439465522766, dino_loss: 0.6484375, depth_loss: 0.03660651296377182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6995/10000 [18:15:55<6:21:12,  7.61s/it]
                                                         
{'loss': 1.8367, 'grad_norm': 3.5539040565490723, 'learning_rate': 1.1360920460467598e-05, 'epoch': 0.06}

 70%|██████▉   | 6995/10000 [18:15:55<6:21:12,  7.61s/it]the number of masks: 8
seg_loss: 0.8504171371459961, dino_loss: 0.6953125, depth_loss: 0.05676526203751564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9298243522644043, dino_loss: 0.68359375, depth_loss: 0.06602343171834946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6996/10000 [18:16:02<6:14:18,  7.48s/it]
                                                         
{'loss': 2.0944, 'grad_norm': 7.923608779907227, 'learning_rate': 1.1353992591633489e-05, 'epoch': 0.06}

 70%|██████▉   | 6996/10000 [18:16:02<6:14:18,  7.48s/it]the number of masks: 8
seg_loss: 0.3614034056663513, dino_loss: 0.75, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7118878960609436, dino_loss: 0.69140625, depth_loss: 0.06789097189903259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6997/10000 [18:16:08<5:54:29,  7.08s/it]
                                                         
{'loss': 2.147, 'grad_norm': 7.645511627197266, 'learning_rate': 1.1347066215106225e-05, 'epoch': 0.06}

 70%|██████▉   | 6997/10000 [18:16:08<5:54:29,  7.08s/it]the number of masks: 8
seg_loss: 0.7632512450218201, dino_loss: 0.6953125, depth_loss: 0.058743201196193695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8935447931289673, dino_loss: 0.68359375, depth_loss: 0.08760138601064682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6998/10000 [18:16:15<5:42:34,  6.85s/it]
                                                         
{'loss': 1.8572, 'grad_norm': 4.771149158477783, 'learning_rate': 1.1340141331643276e-05, 'epoch': 0.06}

 70%|██████▉   | 6998/10000 [18:16:15<5:42:34,  6.85s/it]the number of masks: 8
seg_loss: 0.8848228454589844, dino_loss: 0.6640625, depth_loss: 0.06906065344810486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8085362315177917, dino_loss: 0.64453125, depth_loss: 0.0539708137512207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|██████▉   | 6999/10000 [18:16:22<5:50:51,  7.01s/it]
                                                         
{'loss': 2.7135, 'grad_norm': 12.016867637634277, 'learning_rate': 1.133321794200193e-05, 'epoch': 0.06}

 70%|██████▉   | 6999/10000 [18:16:22<5:50:51,  7.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9702571034431458, dino_loss: 0.73046875, depth_loss: 0.07614946365356445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8216204643249512, dino_loss: 0.671875, depth_loss: 0.06623618304729462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7000/10000 [18:16:31<6:17:37,  7.55s/it]
                                                         
{'loss': 2.5515, 'grad_norm': 3.0244545936584473, 'learning_rate': 1.1326296046939333e-05, 'epoch': 0.06}

 70%|███████   | 7000/10000 [18:16:31<6:17:37,  7.55s/it]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
/root/miniconda3/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
  warnings.warn(  # warn only once
/root/miniconda3/lib/python3.12/site-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8132020235061646, dino_loss: 0.71484375, depth_loss: 0.06738521158695221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9448331594467163, dino_loss: 0.6796875, depth_loss: 0.043012745678424835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7001/10000 [18:17:58<26:06:21, 31.34s/it]
                                                          
{'loss': 2.625, 'grad_norm': 2.886813163757324, 'learning_rate': 1.1319375647212432e-05, 'epoch': 0.06}

 70%|███████   | 7001/10000 [18:17:58<26:06:21, 31.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8293777108192444, dino_loss: 0.72265625, depth_loss: 0.06283506006002426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7608288526535034, dino_loss: 0.69921875, depth_loss: 0.05480954796075821, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7002/10000 [18:18:06<20:14:44, 24.31s/it]
                                                          
{'loss': 2.3417, 'grad_norm': 3.5171890258789062, 'learning_rate': 1.1312456743578042e-05, 'epoch': 0.06}

 70%|███████   | 7002/10000 [18:18:06<20:14:44, 24.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9381145238876343, dino_loss: 0.64453125, depth_loss: 0.06516235321760178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.691053032875061, dino_loss: 0.6640625, depth_loss: 0.05786719173192978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7003/10000 [18:18:13<16:02:04, 19.26s/it]
                                                          
{'loss': 2.4221, 'grad_norm': 6.112205505371094, 'learning_rate': 1.1305539336792814e-05, 'epoch': 0.06}

 70%|███████   | 7003/10000 [18:18:13<16:02:04, 19.26s/it]the number of masks: 8
seg_loss: 0.5806471705436707, dino_loss: 0.56640625, depth_loss: 0.061786092817783356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8684887886047363, dino_loss: 0.671875, depth_loss: 0.07314228266477585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7004/10000 [18:18:21<13:08:14, 15.79s/it]
                                                          
{'loss': 2.1171, 'grad_norm': 3.650510311126709, 'learning_rate': 1.1298623427613206e-05, 'epoch': 0.06}

 70%|███████   | 7004/10000 [18:18:21<13:08:14, 15.79s/it]seg_loss: 0.0, dino_loss: 0.63671875, depth_loss: 0.03788866102695465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8038210868835449, dino_loss: 0.5078125, depth_loss: 0.04818139970302582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7005/10000 [18:18:27<10:42:06, 12.86s/it]
                                                          
{'loss': 1.405, 'grad_norm': 1.7000983953475952, 'learning_rate': 1.129170901679554e-05, 'epoch': 0.06}

 70%|███████   | 7005/10000 [18:18:27<10:42:06, 12.86s/it]the number of masks: 8
seg_loss: 0.9565716981887817, dino_loss: 0.59765625, depth_loss: 0.07751384377479553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6627499461174011, dino_loss: 0.65234375, depth_loss: 0.059312064200639725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7006/10000 [18:18:33<9:05:05, 10.92s/it] 
                                                         
{'loss': 1.8576, 'grad_norm': 3.260896921157837, 'learning_rate': 1.1284796105095965e-05, 'epoch': 0.06}

 70%|███████   | 7006/10000 [18:18:33<9:05:05, 10.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7305302023887634, dino_loss: 0.65234375, depth_loss: 0.0523112416267395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9791715145111084, dino_loss: 0.51171875, depth_loss: 0.04626057296991348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7007/10000 [18:18:41<8:19:30, 10.01s/it]
                                                         
{'loss': 2.1609, 'grad_norm': 9.11924934387207, 'learning_rate': 1.1277884693270477e-05, 'epoch': 0.06}

 70%|███████   | 7007/10000 [18:18:41<8:19:30, 10.01s/it]the number of masks: 8
the number of masks: 4
seg_loss: 0.9986655116081238, dino_loss: 0.671875, depth_loss: 0.07797255367040634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.6945235729217529, dino_loss: 0.671875, depth_loss: 0.05832754820585251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7008/10000 [18:18:49<7:56:35,  9.56s/it]
                                                         
{'loss': 2.1426, 'grad_norm': 3.030734062194824, 'learning_rate': 1.1270974782074878e-05, 'epoch': 0.06}

 70%|███████   | 7008/10000 [18:18:49<7:56:35,  9.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6939805746078491, dino_loss: 0.640625, depth_loss: 0.049145981669425964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9931890964508057, dino_loss: 0.7421875, depth_loss: 0.06187872216105461, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7009/10000 [18:18:58<7:45:45,  9.34s/it]
                                                         
{'loss': 2.5018, 'grad_norm': 2.6220145225524902, 'learning_rate': 1.1264066372264844e-05, 'epoch': 0.06}

 70%|███████   | 7009/10000 [18:18:58<7:45:45,  9.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8571932315826416, dino_loss: 0.734375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0247282981872559, dino_loss: 0.62890625, depth_loss: 0.07143673300743103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7010/10000 [18:19:05<7:12:51,  8.69s/it]
                                                         
{'loss': 1.9704, 'grad_norm': 3.3502814769744873, 'learning_rate': 1.1257159464595855e-05, 'epoch': 0.06}

 70%|███████   | 7010/10000 [18:19:05<7:12:51,  8.69s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5257586240768433, dino_loss: 0.68359375, depth_loss: 0.05096329003572464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9968386888504028, dino_loss: 0.65234375, depth_loss: 0.058150798082351685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7011/10000 [18:19:14<7:15:17,  8.74s/it]
                                                         
{'loss': 2.3937, 'grad_norm': 4.37639856338501, 'learning_rate': 1.1250254059823239e-05, 'epoch': 0.06}

 70%|███████   | 7011/10000 [18:19:14<7:15:17,  8.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8908605575561523, dino_loss: 0.671875, depth_loss: 0.058858808130025864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8593299388885498, dino_loss: 0.68359375, depth_loss: 0.06303659826517105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7012/10000 [18:19:24<7:22:30,  8.89s/it]
                                                         
{'loss': 1.8984, 'grad_norm': 3.037903308868408, 'learning_rate': 1.1243350158702171e-05, 'epoch': 0.06}

 70%|███████   | 7012/10000 [18:19:24<7:22:30,  8.89s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7852786779403687, dino_loss: 0.734375, depth_loss: 0.05386117100715637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.8022539615631104, dino_loss: 0.6640625, depth_loss: 0.05544620752334595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7013/10000 [18:19:32<7:18:05,  8.80s/it]
                                                         
{'loss': 2.145, 'grad_norm': 25.18252182006836, 'learning_rate': 1.1236447761987656e-05, 'epoch': 0.06}

 70%|███████   | 7013/10000 [18:19:32<7:18:05,  8.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8597115278244019, dino_loss: 0.73828125, depth_loss: 0.06432431191205978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.7109375, depth_loss: 0.05679301545023918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7014/10000 [18:19:38<6:36:50,  7.97s/it]
                                                         
{'loss': 2.0984, 'grad_norm': 3.4633753299713135, 'learning_rate': 1.122954687043451e-05, 'epoch': 0.06}

 70%|███████   | 7014/10000 [18:19:38<6:36:50,  7.97s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9109731912612915, dino_loss: 0.69140625, depth_loss: 0.04930797964334488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8726274371147156, dino_loss: 0.69140625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7015/10000 [18:19:46<6:36:15,  7.96s/it]
                                                         
{'loss': 2.4209, 'grad_norm': 3.2990286350250244, 'learning_rate': 1.1222647484797422e-05, 'epoch': 0.06}

 70%|███████   | 7015/10000 [18:19:46<6:36:15,  7.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6483880877494812, dino_loss: 0.625, depth_loss: 0.0741359069943428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6884734630584717, dino_loss: 0.70703125, depth_loss: 0.04247651621699333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7016/10000 [18:19:57<7:25:57,  8.97s/it]
                                                         
{'loss': 1.8568, 'grad_norm': 1.804598093032837, 'learning_rate': 1.1215749605830884e-05, 'epoch': 0.06}

 70%|███████   | 7016/10000 [18:19:57<7:25:57,  8.97s/it]seg_loss: 0.0, dino_loss: 0.6875, depth_loss: 0.06904226541519165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6596559286117554, dino_loss: 0.6796875, depth_loss: 0.06981611251831055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7017/10000 [18:20:04<6:54:08,  8.33s/it]
                                                         
{'loss': 1.8538, 'grad_norm': 2.1779251098632812, 'learning_rate': 1.1208853234289246e-05, 'epoch': 0.06}

 70%|███████   | 7017/10000 [18:20:04<6:54:08,  8.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9638464450836182, dino_loss: 0.6953125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7177137136459351, dino_loss: 0.6015625, depth_loss: 0.0399102084338665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7018/10000 [18:20:12<6:37:43,  8.00s/it]
                                                         
{'loss': 2.4501, 'grad_norm': 2.238114595413208, 'learning_rate': 1.1201958370926682e-05, 'epoch': 0.06}

 70%|███████   | 7018/10000 [18:20:12<6:37:43,  8.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9060820937156677, dino_loss: 0.6796875, depth_loss: 0.04946200177073479, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9331265687942505, dino_loss: 0.6640625, depth_loss: 0.06795753538608551, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7019/10000 [18:20:19<6:30:31,  7.86s/it]
                                                         
{'loss': 2.2729, 'grad_norm': 3.7447774410247803, 'learning_rate': 1.1195065016497213e-05, 'epoch': 0.06}

 70%|███████   | 7019/10000 [18:20:19<6:30:31,  7.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8041650056838989, dino_loss: 0.703125, depth_loss: 0.07791267335414886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8698587417602539, dino_loss: 0.61328125, depth_loss: 0.053275227546691895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7020/10000 [18:20:30<7:15:38,  8.77s/it]
                                                         
{'loss': 2.0943, 'grad_norm': 3.06439471244812, 'learning_rate': 1.118817317175467e-05, 'epoch': 0.06}

 70%|███████   | 7020/10000 [18:20:30<7:15:38,  8.77s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.929564356803894, dino_loss: 0.69921875, depth_loss: 0.07401233166456223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6364643573760986, dino_loss: 0.6796875, depth_loss: 0.08185237646102905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7021/10000 [18:20:38<7:06:40,  8.59s/it]
                                                         
{'loss': 2.2257, 'grad_norm': 3.7556698322296143, 'learning_rate': 1.1181282837452756e-05, 'epoch': 0.06}

 70%|███████   | 7021/10000 [18:20:38<7:06:40,  8.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9212395548820496, dino_loss: 0.5234375, depth_loss: 0.044749703258275986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7103134393692017, dino_loss: 0.60546875, depth_loss: 0.05989551544189453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7022/10000 [18:20:46<6:47:55,  8.22s/it]
                                                         
{'loss': 1.8791, 'grad_norm': 2.83065128326416, 'learning_rate': 1.1174394014344963e-05, 'epoch': 0.06}

 70%|███████   | 7022/10000 [18:20:46<6:47:55,  8.22s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8482649326324463, dino_loss: 0.61328125, depth_loss: 0.051812805235385895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0653822422027588, dino_loss: 0.67578125, depth_loss: 0.06509595364332199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7023/10000 [18:20:52<6:21:49,  7.70s/it]
                                                         
{'loss': 2.715, 'grad_norm': 4.19040060043335, 'learning_rate': 1.1167506703184651e-05, 'epoch': 0.06}

 70%|███████   | 7023/10000 [18:20:52<6:21:49,  7.70s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9992601871490479, dino_loss: 0.76953125, depth_loss: 0.08615197986364365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8896955251693726, dino_loss: 0.58203125, depth_loss: 0.04693790525197983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7024/10000 [18:21:00<6:28:41,  7.84s/it]
                                                         
{'loss': 2.4694, 'grad_norm': 9.433370590209961, 'learning_rate': 1.1160620904725014e-05, 'epoch': 0.06}

 70%|███████   | 7024/10000 [18:21:00<6:28:41,  7.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8307147026062012, dino_loss: 0.703125, depth_loss: 0.05340680480003357, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6640625, depth_loss: 0.05716278776526451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7025/10000 [18:21:06<6:04:50,  7.36s/it]
                                                         
{'loss': 1.9771, 'grad_norm': 3.9629194736480713, 'learning_rate': 1.1153736619719077e-05, 'epoch': 0.06}

 70%|███████   | 7025/10000 [18:21:06<6:04:50,  7.36s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.0908191129565239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8663365840911865, dino_loss: 0.70703125, depth_loss: 0.0777447298169136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7026/10000 [18:21:13<5:47:09,  7.00s/it]
                                                         
{'loss': 1.5133, 'grad_norm': 2.948051929473877, 'learning_rate': 1.1146853848919672e-05, 'epoch': 0.06}

 70%|███████   | 7026/10000 [18:21:13<5:47:09,  7.00s/it]the number of masks: 8
seg_loss: 1.186238408088684, dino_loss: 0.68359375, depth_loss: 0.05973748117685318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.753322958946228, dino_loss: 0.69921875, depth_loss: 0.07275144010782242, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7027/10000 [18:21:19<5:33:46,  6.74s/it]
                                                         
{'loss': 1.833, 'grad_norm': 5.501442909240723, 'learning_rate': 1.1139972593079507e-05, 'epoch': 0.06}

 70%|███████   | 7027/10000 [18:21:19<5:33:46,  6.74s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8173487186431885, dino_loss: 0.66796875, depth_loss: 0.056628987193107605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8274801969528198, dino_loss: 0.73828125, depth_loss: 0.05477692931890488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7028/10000 [18:21:28<6:07:31,  7.42s/it]
                                                         
{'loss': 2.291, 'grad_norm': 5.929480075836182, 'learning_rate': 1.1133092852951107e-05, 'epoch': 0.06}

 70%|███████   | 7028/10000 [18:21:28<6:07:31,  7.42s/it]seg_loss: 0.0, dino_loss: 0.7421875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.079329252243042, dino_loss: 0.6484375, depth_loss: 0.06556575745344162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7029/10000 [18:21:32<5:25:36,  6.58s/it]
                                                         
{'loss': 2.0061, 'grad_norm': 8.735607147216797, 'learning_rate': 1.1126214629286816e-05, 'epoch': 0.06}

 70%|███████   | 7029/10000 [18:21:32<5:25:36,  6.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.662270188331604, dino_loss: 0.57421875, depth_loss: 0.062434401363134384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1743826866149902, dino_loss: 0.58984375, depth_loss: 0.06367657333612442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7030/10000 [18:21:41<6:00:02,  7.27s/it]
                                                         
{'loss': 2.2554, 'grad_norm': 8.20920467376709, 'learning_rate': 1.1119337922838832e-05, 'epoch': 0.06}

 70%|███████   | 7030/10000 [18:21:41<6:00:02,  7.27s/it]the number of masks: 8
seg_loss: 0.9135209918022156, dino_loss: 0.625, depth_loss: 0.055249132215976715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7031/10000 [18:21:46<5:22:57,  6.53s/it]
                                                         
{'loss': 1.7024, 'grad_norm': 9.11524772644043, 'learning_rate': 1.1112462734359186e-05, 'epoch': 0.06}

 70%|███████   | 7031/10000 [18:21:46<5:22:57,  6.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9906845092773438, dino_loss: 0.67578125, depth_loss: 0.06346843391656876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8405058979988098, dino_loss: 0.734375, depth_loss: 0.0643647238612175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7032/10000 [18:21:56<6:21:08,  7.70s/it]
                                                         
{'loss': 2.5524, 'grad_norm': 4.368276596069336, 'learning_rate': 1.1105589064599744e-05, 'epoch': 0.06}

 70%|███████   | 7032/10000 [18:21:56<6:21:08,  7.70s/it]the number of masks: 8
seg_loss: 0.9395657181739807, dino_loss: 0.69921875, depth_loss: 0.08163651823997498, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.641250491142273, dino_loss: 0.6640625, depth_loss: 0.06881459057331085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7033/10000 [18:22:03<6:08:52,  7.46s/it]
                                                         
{'loss': 2.5277, 'grad_norm': 2.8150978088378906, 'learning_rate': 1.1098716914312184e-05, 'epoch': 0.06}

 70%|███████   | 7033/10000 [18:22:03<6:08:52,  7.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7047572731971741, dino_loss: 0.6796875, depth_loss: 0.050898246467113495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.778084933757782, dino_loss: 0.6953125, depth_loss: 0.040623169392347336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7034/10000 [18:22:12<6:21:35,  7.72s/it]
                                                         
{'loss': 1.8486, 'grad_norm': 3.612044334411621, 'learning_rate': 1.109184628424805e-05, 'epoch': 0.06}

 70%|███████   | 7034/10000 [18:22:12<6:21:35,  7.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9221513271331787, dino_loss: 0.69921875, depth_loss: 0.046400122344493866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8582375049591064, dino_loss: 0.69140625, depth_loss: 0.06717567145824432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7035/10000 [18:22:19<6:14:12,  7.57s/it]
                                                         
{'loss': 2.1537, 'grad_norm': 4.606266021728516, 'learning_rate': 1.1084977175158687e-05, 'epoch': 0.06}

 70%|███████   | 7035/10000 [18:22:19<6:14:12,  7.57s/it]the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.7942070960998535, dino_loss: 0.68359375, depth_loss: 0.05775490403175354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6249667406082153, dino_loss: 0.71875, depth_loss: 0.05991039052605629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7036/10000 [18:22:28<6:36:10,  8.02s/it]
                                                         
{'loss': 2.1117, 'grad_norm': 5.294416427612305, 'learning_rate': 1.107810958779531e-05, 'epoch': 0.06}

 70%|███████   | 7036/10000 [18:22:28<6:36:10,  8.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8958611488342285, dino_loss: 0.6328125, depth_loss: 0.04255388677120209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8140226602554321, dino_loss: 0.546875, depth_loss: 0.04386907443404198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7037/10000 [18:22:37<6:53:58,  8.38s/it]
                                                         
{'loss': 2.3644, 'grad_norm': 3.555025577545166, 'learning_rate': 1.1071243522908916e-05, 'epoch': 0.06}

 70%|███████   | 7037/10000 [18:22:37<6:53:58,  8.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7155855894088745, dino_loss: 0.72265625, depth_loss: 0.05581989139318466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0760166645050049, dino_loss: 0.671875, depth_loss: 0.0887645035982132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7038/10000 [18:22:46<6:59:39,  8.50s/it]
                                                         
{'loss': 2.0146, 'grad_norm': 3.0164546966552734, 'learning_rate': 1.1064378981250409e-05, 'epoch': 0.06}

 70%|███████   | 7038/10000 [18:22:46<6:59:39,  8.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8342176079750061, dino_loss: 0.66796875, depth_loss: 0.05559784546494484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6599389910697937, dino_loss: 0.796875, depth_loss: 0.06024817377328873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7039/10000 [18:22:53<6:40:57,  8.12s/it]
                                                         
{'loss': 1.6359, 'grad_norm': 4.2986650466918945, 'learning_rate': 1.1057515963570452e-05, 'epoch': 0.06}

 70%|███████   | 7039/10000 [18:22:53<6:40:57,  8.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6844334602355957, dino_loss: 0.5703125, depth_loss: 0.0375090129673481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9326090216636658, dino_loss: 0.734375, depth_loss: 0.06966619938611984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7040/10000 [18:23:04<7:24:26,  9.01s/it]
                                                         
{'loss': 2.4332, 'grad_norm': 3.493750810623169, 'learning_rate': 1.1050654470619601e-05, 'epoch': 0.06}

 70%|███████   | 7040/10000 [18:23:04<7:24:26,  9.01s/it]the number of masks: 8
seg_loss: 0.9870008826255798, dino_loss: 0.6640625, depth_loss: 0.08400759100914001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.103263020515442, dino_loss: 0.7109375, depth_loss: 0.07956455647945404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7041/10000 [18:23:10<6:32:09,  7.95s/it]
                                                         
{'loss': 2.2333, 'grad_norm': 6.6165080070495605, 'learning_rate': 1.1043794503148194e-05, 'epoch': 0.06}

 70%|███████   | 7041/10000 [18:23:10<6:32:09,  7.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8083460330963135, dino_loss: 0.62109375, depth_loss: 0.06210868060588837, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8613977432250977, dino_loss: 0.703125, depth_loss: 0.0668175145983696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7042/10000 [18:23:18<6:43:02,  8.18s/it]
                                                         
{'loss': 2.1731, 'grad_norm': 3.7883849143981934, 'learning_rate': 1.1036936061906444e-05, 'epoch': 0.06}

 70%|███████   | 7042/10000 [18:23:18<6:43:02,  8.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592520952224731, dino_loss: 0.73046875, depth_loss: 0.06647586077451706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.051835298538208, dino_loss: 0.65234375, depth_loss: 0.05271259695291519, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7043/10000 [18:23:28<7:05:45,  8.64s/it]
                                                         
{'loss': 2.0213, 'grad_norm': 4.557745456695557, 'learning_rate': 1.1030079147644357e-05, 'epoch': 0.06}

 70%|███████   | 7043/10000 [18:23:28<7:05:45,  8.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.882941484451294, dino_loss: 0.6640625, depth_loss: 0.07042801380157471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0162906646728516, dino_loss: 0.6796875, depth_loss: 0.06664998829364777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7044/10000 [18:23:34<6:26:29,  7.84s/it]
                                                         
{'loss': 2.1614, 'grad_norm': 2.9384922981262207, 'learning_rate': 1.102322376111183e-05, 'epoch': 0.06}

 70%|███████   | 7044/10000 [18:23:34<6:26:29,  7.84s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8906760215759277, dino_loss: 0.69140625, depth_loss: 0.059496860951185226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9383479356765747, dino_loss: 0.69140625, depth_loss: 0.05965156853199005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7045/10000 [18:23:42<6:20:04,  7.72s/it]
                                                         
{'loss': 2.1553, 'grad_norm': 6.312346935272217, 'learning_rate': 1.1016369903058529e-05, 'epoch': 0.06}

 70%|███████   | 7045/10000 [18:23:42<6:20:04,  7.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0641744136810303, dino_loss: 0.58984375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8565014004707336, dino_loss: 0.75, depth_loss: 0.07587463408708572, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7046/10000 [18:23:48<6:07:10,  7.46s/it]
                                                         
{'loss': 1.9443, 'grad_norm': 4.038745880126953, 'learning_rate': 1.1009517574234e-05, 'epoch': 0.06}

 70%|███████   | 7046/10000 [18:23:48<6:07:10,  7.46s/it]the number of masks: 8
seg_loss: 1.0318875312805176, dino_loss: 0.6796875, depth_loss: 0.07393674552440643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.73046875, depth_loss: 0.07225124537944794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7047/10000 [18:23:53<5:22:03,  6.54s/it]
                                                         
{'loss': 1.7042, 'grad_norm': 9.912015914916992, 'learning_rate': 1.1002666775387584e-05, 'epoch': 0.06}

 70%|███████   | 7047/10000 [18:23:53<5:22:03,  6.54s/it]the number of masks: 8
seg_loss: 0.5117014646530151, dino_loss: 0.482421875, depth_loss: 0.04731796681880951, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8209686279296875, dino_loss: 0.5703125, depth_loss: 0.04454870522022247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7048/10000 [18:23:59<5:08:57,  6.28s/it]
                                                         
{'loss': 2.1418, 'grad_norm': 2.9773800373077393, 'learning_rate': 1.0995817507268488e-05, 'epoch': 0.06}

 70%|███████   | 7048/10000 [18:23:59<5:08:57,  6.28s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9293216466903687, dino_loss: 0.62890625, depth_loss: 0.04209883511066437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.78515625, depth_loss: 0.06616609543561935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7049/10000 [18:24:04<4:56:57,  6.04s/it]
                                                         
{'loss': 2.4164, 'grad_norm': 2.7136709690093994, 'learning_rate': 1.0988969770625732e-05, 'epoch': 0.06}

 70%|███████   | 7049/10000 [18:24:04<4:56:57,  6.04s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.9042578339576721, dino_loss: 0.64453125, depth_loss: 0.06148672103881836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8390462398529053, dino_loss: 0.671875, depth_loss: 0.0661870688199997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 70%|███████   | 7050/10000 [18:24:14<5:56:51,  7.26s/it]
                                                         
{'loss': 2.4172, 'grad_norm': 3.8381521701812744, 'learning_rate': 1.0982123566208185e-05, 'epoch': 0.06}

 70%|███████   | 7050/10000 [18:24:14<5:56:51,  7.26s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6354719400405884, dino_loss: 0.67578125, depth_loss: 0.06705808639526367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8966463804244995, dino_loss: 0.78125, depth_loss: 0.08352702111005783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7051/10000 [18:24:20<5:44:14,  7.00s/it]
                                                         
{'loss': 2.2992, 'grad_norm': 12.948952674865723, 'learning_rate': 1.0975278894764524e-05, 'epoch': 0.06}

 71%|███████   | 7051/10000 [18:24:20<5:44:14,  7.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7316586971282959, dino_loss: 0.625, depth_loss: 0.05115436762571335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.838323712348938, dino_loss: 0.62890625, depth_loss: 0.053569793701171875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7052/10000 [18:24:30<6:23:53,  7.81s/it]
                                                         
{'loss': 2.021, 'grad_norm': 3.509451150894165, 'learning_rate': 1.0968435757043275e-05, 'epoch': 0.06}

 71%|███████   | 7052/10000 [18:24:30<6:23:53,  7.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9879240393638611, dino_loss: 0.67578125, depth_loss: 0.04612742364406586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7475743293762207, dino_loss: 0.6796875, depth_loss: 0.06719180941581726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7053/10000 [18:24:40<6:51:19,  8.37s/it]
                                                         
{'loss': 2.4012, 'grad_norm': 6.0399556159973145, 'learning_rate': 1.0961594153792803e-05, 'epoch': 0.06}

 71%|███████   | 7053/10000 [18:24:40<6:51:19,  8.37s/it]the number of masks: 8
seg_loss: 1.0358401536941528, dino_loss: 0.703125, depth_loss: 0.06573385000228882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9305862188339233, dino_loss: 0.69921875, depth_loss: 0.05167435482144356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7054/10000 [18:24:49<7:08:41,  8.73s/it]
                                                         
{'loss': 2.827, 'grad_norm': 5.601586818695068, 'learning_rate': 1.095475408576128e-05, 'epoch': 0.06}

 71%|███████   | 7054/10000 [18:24:49<7:08:41,  8.73s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5524250268936157, dino_loss: 0.6640625, depth_loss: 0.07801041752099991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0492111444473267, dino_loss: 0.6640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7055/10000 [18:24:56<6:32:54,  8.00s/it]
                                                         
{'loss': 1.9032, 'grad_norm': 4.2143635749816895, 'learning_rate': 1.0947915553696742e-05, 'epoch': 0.06}

 71%|███████   | 7055/10000 [18:24:56<6:32:54,  8.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8684288263320923, dino_loss: 0.66796875, depth_loss: 0.06541328132152557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7189764380455017, dino_loss: 0.6171875, depth_loss: 0.05036003887653351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7056/10000 [18:25:05<6:47:02,  8.30s/it]
                                                         
{'loss': 2.1018, 'grad_norm': 7.716060161590576, 'learning_rate': 1.0941078558347015e-05, 'epoch': 0.06}

 71%|███████   | 7056/10000 [18:25:05<6:47:02,  8.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.2505816221237183, dino_loss: 0.7421875, depth_loss: 0.06194209307432175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.745600938796997, dino_loss: 0.6953125, depth_loss: 0.06695326417684555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7057/10000 [18:25:11<6:19:21,  7.73s/it]
                                                         
{'loss': 2.797, 'grad_norm': 9.372403144836426, 'learning_rate': 1.0934243100459817e-05, 'epoch': 0.06}

 71%|███████   | 7057/10000 [18:25:11<6:19:21,  7.73s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9325532913208008, dino_loss: 0.6875, depth_loss: 0.06617378443479538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9007734656333923, dino_loss: 0.62890625, depth_loss: 0.06199346110224724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7058/10000 [18:25:18<6:03:07,  7.41s/it]
                                                         
{'loss': 2.4829, 'grad_norm': 7.596139907836914, 'learning_rate': 1.0927409180782638e-05, 'epoch': 0.06}

 71%|███████   | 7058/10000 [18:25:18<6:03:07,  7.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8571513891220093, dino_loss: 0.67578125, depth_loss: 0.05724792927503586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9183008670806885, dino_loss: 0.69140625, depth_loss: 0.05713922530412674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7059/10000 [18:25:25<6:03:49,  7.42s/it]
                                                         
{'loss': 2.4979, 'grad_norm': 6.180380821228027, 'learning_rate': 1.0920576800062842e-05, 'epoch': 0.06}

 71%|███████   | 7059/10000 [18:25:25<6:03:49,  7.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7360848188400269, dino_loss: 0.6953125, depth_loss: 0.05734903737902641, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9244194030761719, dino_loss: 0.671875, depth_loss: 0.057468071579933167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7060/10000 [18:25:34<6:28:14,  7.92s/it]
                                                         
{'loss': 2.2436, 'grad_norm': 4.885025978088379, 'learning_rate': 1.091374595904759e-05, 'epoch': 0.06}

 71%|███████   | 7060/10000 [18:25:34<6:28:14,  7.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6948843002319336, dino_loss: 0.625, depth_loss: 0.052943356335163116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8040744066238403, dino_loss: 0.6328125, depth_loss: 0.05439680814743042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7061/10000 [18:25:46<7:15:46,  8.90s/it]
                                                         
{'loss': 2.346, 'grad_norm': 3.1762142181396484, 'learning_rate': 1.0906916658483909e-05, 'epoch': 0.06}

 71%|███████   | 7061/10000 [18:25:46<7:15:46,  8.90s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9035416841506958, dino_loss: 0.71484375, depth_loss: 0.06110772490501404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9713629484176636, dino_loss: 0.64453125, depth_loss: 0.10816184431314468, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7062/10000 [18:25:52<6:46:39,  8.30s/it]
                                                         
{'loss': 2.1916, 'grad_norm': 5.778194904327393, 'learning_rate': 1.0900088899118616e-05, 'epoch': 0.06}

 71%|███████   | 7062/10000 [18:25:52<6:46:39,  8.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9785359501838684, dino_loss: 0.68359375, depth_loss: 0.05707080289721489, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5471895337104797, dino_loss: 0.63671875, depth_loss: 0.048645876348018646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7063/10000 [18:25:59<6:25:06,  7.87s/it]
                                                         
{'loss': 2.0299, 'grad_norm': 6.703037738800049, 'learning_rate': 1.0893262681698422e-05, 'epoch': 0.06}

 71%|███████   | 7063/10000 [18:25:59<6:25:06,  7.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9090397357940674, dino_loss: 0.62890625, depth_loss: 0.09447760879993439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.932140052318573, dino_loss: 0.70703125, depth_loss: 0.05806281417608261, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7064/10000 [18:26:09<6:52:32,  8.43s/it]
                                                         
{'loss': 2.5555, 'grad_norm': 3.3111934661865234, 'learning_rate': 1.08864380069698e-05, 'epoch': 0.06}

 71%|███████   | 7064/10000 [18:26:09<6:52:32,  8.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0090138912200928, dino_loss: 0.67578125, depth_loss: 0.08099161833524704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7928667068481445, dino_loss: 0.671875, depth_loss: 0.05032544583082199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7065/10000 [18:26:19<7:08:29,  8.76s/it]
                                                         
{'loss': 2.4527, 'grad_norm': 7.843693733215332, 'learning_rate': 1.0879614875679109e-05, 'epoch': 0.06}

 71%|███████   | 7065/10000 [18:26:19<7:08:29,  8.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8426244258880615, dino_loss: 0.7265625, depth_loss: 0.05227159708738327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8544734120368958, dino_loss: 0.63671875, depth_loss: 0.06168202683329582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7066/10000 [18:26:25<6:40:41,  8.19s/it]
                                                         
{'loss': 1.9389, 'grad_norm': 3.846437454223633, 'learning_rate': 1.0872793288572497e-05, 'epoch': 0.06}

 71%|███████   | 7066/10000 [18:26:25<6:40:41,  8.19s/it]the number of masks: 8
the number of masks: 7
seg_loss: 0.8454644680023193, dino_loss: 0.64453125, depth_loss: 0.05913802608847618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9491753578186035, dino_loss: 0.6796875, depth_loss: 0.05797360837459564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7067/10000 [18:26:33<6:30:07,  7.98s/it]
                                                         
{'loss': 2.2097, 'grad_norm': 3.4276978969573975, 'learning_rate': 1.086597324639598e-05, 'epoch': 0.06}

 71%|███████   | 7067/10000 [18:26:33<6:30:07,  7.98s/it]the number of masks: 8
seg_loss: 0.5712079405784607, dino_loss: 0.671875, depth_loss: 0.056019991636276245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9410476088523865, dino_loss: 0.66796875, depth_loss: 0.06603509187698364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7068/10000 [18:26:39<6:07:03,  7.51s/it]
                                                         
{'loss': 2.0735, 'grad_norm': 3.8156473636627197, 'learning_rate': 1.0859154749895358e-05, 'epoch': 0.06}

 71%|███████   | 7068/10000 [18:26:39<6:07:03,  7.51s/it]the number of masks: 8
seg_loss: 0.9186911582946777, dino_loss: 0.69921875, depth_loss: 0.059039514511823654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9707623720169067, dino_loss: 0.6484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7069/10000 [18:26:45<5:46:55,  7.10s/it]
                                                         
{'loss': 2.1822, 'grad_norm': 3.3250226974487305, 'learning_rate': 1.0852337799816335e-05, 'epoch': 0.06}

 71%|███████   | 7069/10000 [18:26:45<5:46:55,  7.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6990277767181396, dino_loss: 0.66796875, depth_loss: 0.048396654427051544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9765352606773376, dino_loss: 0.6875, depth_loss: 0.056008510291576385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7070/10000 [18:26:55<6:19:18,  7.77s/it]
                                                         
{'loss': 2.5773, 'grad_norm': 4.738344669342041, 'learning_rate': 1.0845522396904367e-05, 'epoch': 0.06}

 71%|███████   | 7070/10000 [18:26:55<6:19:18,  7.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9526306986808777, dino_loss: 0.69140625, depth_loss: 0.06276603043079376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7441551089286804, dino_loss: 0.70703125, depth_loss: 0.049074601382017136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7071/10000 [18:27:03<6:20:01,  7.78s/it]
                                                         
{'loss': 1.7057, 'grad_norm': 5.805327892303467, 'learning_rate': 1.0838708541904797e-05, 'epoch': 0.06}

 71%|███████   | 7071/10000 [18:27:03<6:20:01,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6873681545257568, dino_loss: 0.74609375, depth_loss: 0.06257934868335724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7104662656784058, dino_loss: 0.62109375, depth_loss: 0.0625685453414917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7072/10000 [18:27:09<6:00:34,  7.39s/it]
                                                         
{'loss': 2.1644, 'grad_norm': 3.938621997833252, 'learning_rate': 1.0831896235562764e-05, 'epoch': 0.06}

 71%|███████   | 7072/10000 [18:27:09<6:00:34,  7.39s/it]the number of masks: 1
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1461868286132812, dino_loss: 0.69921875, depth_loss: 0.060746364295482635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.618523120880127, dino_loss: 0.70703125, depth_loss: 0.06891359388828278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7073/10000 [18:27:18<6:26:27,  7.92s/it]
                                                         
{'loss': 2.3467, 'grad_norm': 7.769799709320068, 'learning_rate': 1.0825085478623254e-05, 'epoch': 0.06}

 71%|███████   | 7073/10000 [18:27:18<6:26:27,  7.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6864137649536133, dino_loss: 0.67578125, depth_loss: 0.0683206170797348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.934270441532135, dino_loss: 0.65625, depth_loss: 0.060938671231269836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7074/10000 [18:27:27<6:33:31,  8.07s/it]
                                                         
{'loss': 1.9511, 'grad_norm': 3.9616498947143555, 'learning_rate': 1.0818276271831093e-05, 'epoch': 0.06}

 71%|███████   | 7074/10000 [18:27:27<6:33:31,  8.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.980682373046875, dino_loss: 0.66796875, depth_loss: 0.07574265450239182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6973060369491577, dino_loss: 0.72265625, depth_loss: 0.05578511953353882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7075/10000 [18:27:37<7:09:09,  8.80s/it]
                                                         
{'loss': 2.3427, 'grad_norm': 2.4721076488494873, 'learning_rate': 1.0811468615930911e-05, 'epoch': 0.06}

 71%|███████   | 7075/10000 [18:27:37<7:09:09,  8.80s/it]the number of masks: 8
seg_loss: 0.8590088486671448, dino_loss: 0.7265625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9436594247817993, dino_loss: 0.6796875, depth_loss: 0.03672204911708832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7076/10000 [18:27:42<6:12:45,  7.65s/it]
                                                         
{'loss': 2.0378, 'grad_norm': 8.32734489440918, 'learning_rate': 1.0804662511667189e-05, 'epoch': 0.06}

 71%|███████   | 7076/10000 [18:27:42<6:12:45,  7.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7350385785102844, dino_loss: 0.61328125, depth_loss: 0.06860968470573425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.008497953414917, dino_loss: 0.7109375, depth_loss: 0.08165238797664642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7077/10000 [18:27:49<6:02:20,  7.44s/it]
                                                         
{'loss': 2.2981, 'grad_norm': 2.9716484546661377, 'learning_rate': 1.079785795978423e-05, 'epoch': 0.06}

 71%|███████   | 7077/10000 [18:27:49<6:02:20,  7.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8095429539680481, dino_loss: 0.66796875, depth_loss: 0.06066478043794632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9509477019309998, dino_loss: 0.859375, depth_loss: 0.0775945633649826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7078/10000 [18:27:56<5:58:07,  7.35s/it]
                                                         
{'loss': 2.3829, 'grad_norm': 5.436967372894287, 'learning_rate': 1.0791054961026182e-05, 'epoch': 0.06}

 71%|███████   | 7078/10000 [18:27:56<5:58:07,  7.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7415530681610107, dino_loss: 0.67578125, depth_loss: 0.06257449835538864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9230455160140991, dino_loss: 0.7109375, depth_loss: 0.06171177327632904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7079/10000 [18:28:04<6:09:40,  7.59s/it]
                                                         
{'loss': 2.2085, 'grad_norm': 3.779543876647949, 'learning_rate': 1.0784253516136991e-05, 'epoch': 0.06}

 71%|███████   | 7079/10000 [18:28:04<6:09:40,  7.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7966882586479187, dino_loss: 0.640625, depth_loss: 0.0414063036441803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5477333664894104, dino_loss: 0.6875, depth_loss: 0.05689860135316849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7080/10000 [18:28:12<6:10:27,  7.61s/it]
                                                         
{'loss': 2.0981, 'grad_norm': 3.2265307903289795, 'learning_rate': 1.0777453625860472e-05, 'epoch': 0.06}

 71%|███████   | 7080/10000 [18:28:12<6:10:27,  7.61s/it]the number of masks: 8
seg_loss: 0.7604878544807434, dino_loss: 0.72265625, depth_loss: 0.04805181547999382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.64453125, depth_loss: 0.04102160036563873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7081/10000 [18:28:16<5:24:07,  6.66s/it]
                                                         
{'loss': 2.107, 'grad_norm': 2.2811524868011475, 'learning_rate': 1.0770655290940224e-05, 'epoch': 0.06}

 71%|███████   | 7081/10000 [18:28:16<5:24:07,  6.66s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.803267240524292, dino_loss: 0.88671875, depth_loss: 0.08627422153949738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.010323166847229, dino_loss: 0.7109375, depth_loss: 0.07816796004772186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7082/10000 [18:28:25<5:50:34,  7.21s/it]
                                                         
{'loss': 2.5624, 'grad_norm': 5.531928062438965, 'learning_rate': 1.0763858512119737e-05, 'epoch': 0.06}

 71%|███████   | 7082/10000 [18:28:25<5:50:34,  7.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9565927982330322, dino_loss: 0.66796875, depth_loss: 0.0877852737903595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6973022222518921, dino_loss: 0.68359375, depth_loss: 0.048248156905174255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7083/10000 [18:28:36<6:41:16,  8.25s/it]
                                                         
{'loss': 1.9173, 'grad_norm': 3.6970741748809814, 'learning_rate': 1.0757063290142269e-05, 'epoch': 0.06}

 71%|███████   | 7083/10000 [18:28:36<6:41:16,  8.25s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.4891657531261444, dino_loss: 0.74609375, depth_loss: 0.05690032243728638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8428651690483093, dino_loss: 0.703125, depth_loss: 0.05442562326788902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7084/10000 [18:28:45<6:53:21,  8.51s/it]
                                                         
{'loss': 2.197, 'grad_norm': 3.4641225337982178, 'learning_rate': 1.0750269625750956e-05, 'epoch': 0.06}

 71%|███████   | 7084/10000 [18:28:45<6:53:21,  8.51s/it]the number of masks: 8
seg_loss: 1.4067487716674805, dino_loss: 0.70703125, depth_loss: 0.07025787979364395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7629879117012024, dino_loss: 0.6015625, depth_loss: 0.05147651955485344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7085/10000 [18:28:54<6:58:00,  8.60s/it]
                                                         
{'loss': 2.3246, 'grad_norm': 5.679719924926758, 'learning_rate': 1.0743477519688725e-05, 'epoch': 0.06}

 71%|███████   | 7085/10000 [18:28:54<6:58:00,  8.60s/it]the number of masks: 8
seg_loss: 1.143778920173645, dino_loss: 0.73828125, depth_loss: 0.07633533328771591, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9182009696960449, dino_loss: 0.76953125, depth_loss: 0.05631314590573311, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7086/10000 [18:29:01<6:45:04,  8.34s/it]
                                                         
{'loss': 2.1852, 'grad_norm': 4.059921741485596, 'learning_rate': 1.0736686972698364e-05, 'epoch': 0.06}

 71%|███████   | 7086/10000 [18:29:01<6:45:04,  8.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7913450002670288, dino_loss: 0.66015625, depth_loss: 0.04593000188469887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8101304769515991, dino_loss: 0.0, depth_loss: 0.049243662506341934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7087/10000 [18:29:08<6:19:19,  7.81s/it]
                                                         
{'loss': 2.1792, 'grad_norm': 3.0419185161590576, 'learning_rate': 1.0729897985522455e-05, 'epoch': 0.06}

 71%|███████   | 7087/10000 [18:29:08<6:19:19,  7.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6908130645751953, dino_loss: 0.61328125, depth_loss: 0.04227115213871002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8263033628463745, dino_loss: 0.6171875, depth_loss: 0.033347852528095245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7088/10000 [18:29:15<6:15:08,  7.73s/it]
                                                         
{'loss': 2.1296, 'grad_norm': 3.4877312183380127, 'learning_rate': 1.0723110558903465e-05, 'epoch': 0.06}

 71%|███████   | 7088/10000 [18:29:15<6:15:08,  7.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6824312210083008, dino_loss: 0.74609375, depth_loss: 0.06793461740016937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9327994585037231, dino_loss: 0.734375, depth_loss: 0.04706238955259323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7089/10000 [18:29:23<6:13:14,  7.69s/it]
                                                         
{'loss': 1.9844, 'grad_norm': 5.323472499847412, 'learning_rate': 1.0716324693583632e-05, 'epoch': 0.06}

 71%|███████   | 7089/10000 [18:29:23<6:13:14,  7.69s/it]the number of masks: 8
seg_loss: 0.9654415249824524, dino_loss: 0.7109375, depth_loss: 0.06118142232298851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8690399527549744, dino_loss: 0.6796875, depth_loss: 0.05949174985289574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7090/10000 [18:29:30<5:56:31,  7.35s/it]
                                                         
{'loss': 2.3706, 'grad_norm': 5.031909942626953, 'learning_rate': 1.0709540390305061e-05, 'epoch': 0.06}

 71%|███████   | 7090/10000 [18:29:30<5:56:31,  7.35s/it]the number of masks: 6
the number of masks: 8
seg_loss: 0.7242996096611023, dino_loss: 0.6953125, depth_loss: 0.08559403568506241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9253291487693787, dino_loss: 0.67578125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7091/10000 [18:29:37<6:00:13,  7.43s/it]
                                                         
{'loss': 2.34, 'grad_norm': 10.888967514038086, 'learning_rate': 1.0702757649809663e-05, 'epoch': 0.06}

 71%|███████   | 7091/10000 [18:29:37<6:00:13,  7.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0580214262008667, dino_loss: 0.65234375, depth_loss: 0.07432708144187927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0631194114685059, dino_loss: 0.73828125, depth_loss: 0.06766781955957413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7092/10000 [18:29:46<6:15:17,  7.74s/it]
                                                         
{'loss': 2.712, 'grad_norm': 8.314924240112305, 'learning_rate': 1.06959764728392e-05, 'epoch': 0.06}

 71%|███████   | 7092/10000 [18:29:46<6:15:17,  7.74s/it]the number of masks: 8
the number of masks: 4
seg_loss: 0.49540483951568604, dino_loss: 0.6796875, depth_loss: 0.054785922169685364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8628358840942383, dino_loss: 0.66796875, depth_loss: 0.060192495584487915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7093/10000 [18:29:54<6:24:40,  7.94s/it]
                                                         
{'loss': 2.0822, 'grad_norm': 5.130012035369873, 'learning_rate': 1.0689196860135234e-05, 'epoch': 0.06}

 71%|███████   | 7093/10000 [18:29:54<6:24:40,  7.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7969540357589722, dino_loss: 0.62109375, depth_loss: 0.03125409781932831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9737560153007507, dino_loss: 0.72265625, depth_loss: 0.06210682913661003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7094/10000 [18:30:03<6:43:11,  8.32s/it]
                                                         
{'loss': 2.3158, 'grad_norm': 3.5114431381225586, 'learning_rate': 1.0682418812439182e-05, 'epoch': 0.06}

 71%|███████   | 7094/10000 [18:30:03<6:43:11,  8.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9004030823707581, dino_loss: 0.6953125, depth_loss: 0.05862445384263992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8938963413238525, dino_loss: 0.71875, depth_loss: 0.04663284868001938, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7095/10000 [18:30:13<6:59:13,  8.66s/it]
                                                         
{'loss': 2.616, 'grad_norm': 3.2871150970458984, 'learning_rate': 1.0675642330492286e-05, 'epoch': 0.06}

 71%|███████   | 7095/10000 [18:30:13<6:59:13,  8.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.929542064666748, dino_loss: 0.70703125, depth_loss: 0.05068814009428024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9294695258140564, dino_loss: 0.6796875, depth_loss: 0.05559214949607849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7096/10000 [18:30:23<7:21:16,  9.12s/it]
                                                         
{'loss': 2.363, 'grad_norm': 7.296317100524902, 'learning_rate': 1.0668867415035616e-05, 'epoch': 0.06}

 71%|███████   | 7096/10000 [18:30:23<7:21:16,  9.12s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.582028329372406, dino_loss: 0.81640625, depth_loss: 0.1035667359828949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9416079521179199, dino_loss: 0.67578125, depth_loss: 0.050868868827819824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7097/10000 [18:30:30<6:57:06,  8.62s/it]
                                                         
{'loss': 2.1414, 'grad_norm': 4.586763381958008, 'learning_rate': 1.066209406681005e-05, 'epoch': 0.06}

 71%|███████   | 7097/10000 [18:30:30<6:57:06,  8.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 6
seg_loss: 0.8569958209991455, dino_loss: 0.64453125, depth_loss: 0.0578068345785141, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7545065879821777, dino_loss: 0.67578125, depth_loss: 0.07523191720247269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7098/10000 [18:30:38<6:37:11,  8.21s/it]
                                                         
{'loss': 2.3168, 'grad_norm': 2.1246871948242188, 'learning_rate': 1.0655322286556318e-05, 'epoch': 0.06}

 71%|███████   | 7098/10000 [18:30:38<6:37:11,  8.21s/it]the number of masks: 8
seg_loss: 0.9851577281951904, dino_loss: 0.6953125, depth_loss: 0.06357194483280182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8647861480712891, dino_loss: 0.76953125, depth_loss: 0.04588179290294647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7099/10000 [18:30:45<6:28:27,  8.03s/it]
                                                         
{'loss': 2.1395, 'grad_norm': 3.9542267322540283, 'learning_rate': 1.0648552075014986e-05, 'epoch': 0.06}

 71%|███████   | 7099/10000 [18:30:45<6:28:27,  8.03s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6202907562255859, dino_loss: 0.494140625, depth_loss: 0.03510242700576782, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.660463809967041, dino_loss: 0.609375, depth_loss: 0.08515363186597824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7100/10000 [18:30:52<6:16:15,  7.78s/it]
                                                         
{'loss': 1.7945, 'grad_norm': 2.9436230659484863, 'learning_rate': 1.064178343292641e-05, 'epoch': 0.06}

 71%|███████   | 7100/10000 [18:30:52<6:16:15,  7.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7886093854904175, dino_loss: 0.8359375, depth_loss: 0.088051937520504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7173396944999695, dino_loss: 0.6953125, depth_loss: 0.03688839077949524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7101/10000 [18:31:03<6:56:23,  8.62s/it]
                                                         
{'loss': 2.1131, 'grad_norm': 3.0690290927886963, 'learning_rate': 1.0635016361030814e-05, 'epoch': 0.06}

 71%|███████   | 7101/10000 [18:31:03<6:56:23,  8.62s/it]the number of masks: 8
seg_loss: 0.8774990439414978, dino_loss: 0.75, depth_loss: 0.06253570318222046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.2262036800384521, dino_loss: 0.55859375, depth_loss: 0.0658797025680542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7102/10000 [18:31:09<6:23:42,  7.94s/it]
                                                         
{'loss': 2.4301, 'grad_norm': 8.230642318725586, 'learning_rate': 1.0628250860068228e-05, 'epoch': 0.06}

 71%|███████   | 7102/10000 [18:31:09<6:23:42,  7.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7894527912139893, dino_loss: 0.67578125, depth_loss: 0.034852053970098495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.090695858001709, dino_loss: 0.640625, depth_loss: 0.057351529598236084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7103/10000 [18:31:19<6:46:45,  8.42s/it]
                                                         
{'loss': 2.2571, 'grad_norm': 4.70937967300415, 'learning_rate': 1.0621486930778532e-05, 'epoch': 0.06}

 71%|███████   | 7103/10000 [18:31:19<6:46:45,  8.42s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6163654327392578, dino_loss: 0.6484375, depth_loss: 0.04397284984588623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9297852516174316, dino_loss: 0.7578125, depth_loss: 0.05867428332567215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7104/10000 [18:31:26<6:30:27,  8.09s/it]
                                                         
{'loss': 1.9159, 'grad_norm': 3.2230963706970215, 'learning_rate': 1.0614724573901398e-05, 'epoch': 0.06}

 71%|███████   | 7104/10000 [18:31:26<6:30:27,  8.09s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5380410552024841, dino_loss: 0.5859375, depth_loss: 0.04816724359989166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8189353942871094, dino_loss: 0.7109375, depth_loss: 0.06660263985395432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7105/10000 [18:31:35<6:41:30,  8.32s/it]
                                                         
{'loss': 2.4093, 'grad_norm': 2.9169037342071533, 'learning_rate': 1.0607963790176365e-05, 'epoch': 0.06}

 71%|███████   | 7105/10000 [18:31:35<6:41:30,  8.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8909936547279358, dino_loss: 0.69921875, depth_loss: 0.05160723626613617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9707316756248474, dino_loss: 0.69921875, depth_loss: 0.061396274715662, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7106/10000 [18:31:44<6:43:05,  8.36s/it]
                                                         
{'loss': 1.9612, 'grad_norm': 4.079482078552246, 'learning_rate': 1.0601204580342764e-05, 'epoch': 0.06}

 71%|███████   | 7106/10000 [18:31:44<6:43:05,  8.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0058567523956299, dino_loss: 0.68359375, depth_loss: 0.05082766339182854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8199431300163269, dino_loss: 0.625, depth_loss: 0.04428656026721001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7107/10000 [18:31:54<7:17:59,  9.08s/it]
                                                         
{'loss': 2.9228, 'grad_norm': 4.888614654541016, 'learning_rate': 1.0594446945139783e-05, 'epoch': 0.06}

 71%|███████   | 7107/10000 [18:31:54<7:17:59,  9.08s/it]the number of masks: 8
seg_loss: 0.43791478872299194, dino_loss: 0.65625, depth_loss: 0.05752696096897125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8858327269554138, dino_loss: 0.7265625, depth_loss: 0.04183592647314072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7108/10000 [18:32:02<6:56:09,  8.63s/it]
                                                         
{'loss': 2.2926, 'grad_norm': 4.21964168548584, 'learning_rate': 1.0587690885306425e-05, 'epoch': 0.06}

 71%|███████   | 7108/10000 [18:32:02<6:56:09,  8.63s/it]the number of masks: 8
seg_loss: 0.7983513474464417, dino_loss: 0.0, depth_loss: 0.06808002293109894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8124012351036072, dino_loss: 0.67578125, depth_loss: 0.06929045915603638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7109/10000 [18:32:09<6:34:00,  8.18s/it]
                                                         
{'loss': 1.3059, 'grad_norm': 5.719522476196289, 'learning_rate': 1.0580936401581535e-05, 'epoch': 0.06}

 71%|███████   | 7109/10000 [18:32:09<6:34:00,  8.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.924462080001831, dino_loss: 0.65625, depth_loss: 0.03395452722907066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8801102638244629, dino_loss: 0.6953125, depth_loss: 0.06090459227561951, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7110/10000 [18:32:16<6:19:01,  7.87s/it]
                                                         
{'loss': 2.1637, 'grad_norm': 4.369349479675293, 'learning_rate': 1.0574183494703748e-05, 'epoch': 0.06}

 71%|███████   | 7110/10000 [18:32:16<6:19:01,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.4287469387054443, dino_loss: 0.62890625, depth_loss: 0.06401406973600388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9159648418426514, dino_loss: 0.7109375, depth_loss: 0.05251353606581688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7111/10000 [18:32:23<6:06:48,  7.62s/it]
                                                         
{'loss': 2.2034, 'grad_norm': 4.5037031173706055, 'learning_rate': 1.0567432165411576e-05, 'epoch': 0.06}

 71%|███████   | 7111/10000 [18:32:23<6:06:48,  7.62s/it]the number of masks: 8
seg_loss: 0.8404054641723633, dino_loss: 0.0, depth_loss: 0.0574934184551239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7498308420181274, dino_loss: 0.67578125, depth_loss: 0.055174440145492554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7112/10000 [18:32:30<5:51:39,  7.31s/it]
                                                         
{'loss': 1.9114, 'grad_norm': 3.223085880279541, 'learning_rate': 1.0560682414443315e-05, 'epoch': 0.06}

 71%|███████   | 7112/10000 [18:32:30<5:51:39,  7.31s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7542418241500854, dino_loss: 0.48828125, depth_loss: 0.051534295082092285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0451750755310059, dino_loss: 0.83984375, depth_loss: 0.04975730925798416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7113/10000 [18:32:37<5:56:11,  7.40s/it]
                                                         
{'loss': 2.668, 'grad_norm': 4.510221481323242, 'learning_rate': 1.0553934242537114e-05, 'epoch': 0.06}

 71%|███████   | 7113/10000 [18:32:37<5:56:11,  7.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7239624857902527, dino_loss: 0.65625, depth_loss: 0.05637601763010025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.814185619354248, dino_loss: 0.73046875, depth_loss: 0.05115678533911705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7114/10000 [18:32:48<6:35:01,  8.21s/it]
                                                         
{'loss': 2.534, 'grad_norm': 5.292646408081055, 'learning_rate': 1.0547187650430948e-05, 'epoch': 0.06}

 71%|███████   | 7114/10000 [18:32:48<6:35:01,  8.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7762019038200378, dino_loss: 0.62890625, depth_loss: 0.08174389600753784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.048512578010559, dino_loss: 0.671875, depth_loss: 0.06641470640897751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7115/10000 [18:32:55<6:28:03,  8.07s/it]
                                                         
{'loss': 1.8195, 'grad_norm': 2.959397792816162, 'learning_rate': 1.0540442638862618e-05, 'epoch': 0.06}

 71%|███████   | 7115/10000 [18:32:55<6:28:03,  8.07s/it]the number of masks: 8
seg_loss: 1.0704472064971924, dino_loss: 0.68359375, depth_loss: 0.0718793123960495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6313893795013428, dino_loss: 0.6796875, depth_loss: 0.03846295177936554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7116/10000 [18:33:01<5:48:22,  7.25s/it]
                                                         
{'loss': 2.3828, 'grad_norm': 26.155811309814453, 'learning_rate': 1.0533699208569733e-05, 'epoch': 0.06}

 71%|███████   | 7116/10000 [18:33:01<5:48:22,  7.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9094254374504089, dino_loss: 0.6875, depth_loss: 0.08436843007802963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9136446714401245, dino_loss: 0.67578125, depth_loss: 0.07175686955451965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7117/10000 [18:33:10<6:16:26,  7.83s/it]
                                                         
{'loss': 1.8711, 'grad_norm': 6.323729038238525, 'learning_rate': 1.052695736028976e-05, 'epoch': 0.06}

 71%|███████   | 7117/10000 [18:33:10<6:16:26,  7.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.43273085355758667, dino_loss: 0.58984375, depth_loss: 0.041227489709854126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6880841851234436, dino_loss: 0.6640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7118/10000 [18:33:16<5:59:29,  7.48s/it]
                                                         
{'loss': 1.8819, 'grad_norm': 2.3535659313201904, 'learning_rate': 1.0520217094759962e-05, 'epoch': 0.06}

 71%|███████   | 7118/10000 [18:33:16<5:59:29,  7.48s/it]seg_loss: 0.0, dino_loss: 0.703125, depth_loss: 0.06604184955358505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7941266298294067, dino_loss: 0.69921875, depth_loss: 0.05550374463200569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7119/10000 [18:33:23<5:44:04,  7.17s/it]
                                                         
{'loss': 2.1218, 'grad_norm': 3.4773292541503906, 'learning_rate': 1.0513478412717454e-05, 'epoch': 0.06}

 71%|███████   | 7119/10000 [18:33:23<5:44:04,  7.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8211190700531006, dino_loss: 0.6953125, depth_loss: 0.061700981110334396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6824723482131958, dino_loss: 0.59765625, depth_loss: 0.04417581111192703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7120/10000 [18:33:32<6:13:57,  7.79s/it]
                                                         
{'loss': 1.5964, 'grad_norm': 5.77235221862793, 'learning_rate': 1.0506741314899166e-05, 'epoch': 0.06}

 71%|███████   | 7120/10000 [18:33:32<6:13:57,  7.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9988921880722046, dino_loss: 0.77734375, depth_loss: 0.07554850727319717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6640625, depth_loss: 0.06049208715558052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7121/10000 [18:33:39<6:03:41,  7.58s/it]
                                                         
{'loss': 1.8352, 'grad_norm': 6.314512252807617, 'learning_rate': 1.0500005802041867e-05, 'epoch': 0.06}

 71%|███████   | 7121/10000 [18:33:39<6:03:41,  7.58s/it]seg_loss: 0.0, dino_loss: 0.68359375, depth_loss: 0.04354957863688469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8093901872634888, dino_loss: 0.67578125, depth_loss: 0.050868429243564606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7122/10000 [18:33:44<5:23:04,  6.74s/it]
                                                         
{'loss': 1.9507, 'grad_norm': 3.3132874965667725, 'learning_rate': 1.0493271874882124e-05, 'epoch': 0.06}

 71%|███████   | 7122/10000 [18:33:44<5:23:04,  6.74s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8178550004959106, dino_loss: 0.69921875, depth_loss: 0.06299179047346115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8184332847595215, dino_loss: 0.6796875, depth_loss: 0.07062511891126633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7123/10000 [18:33:53<6:01:30,  7.54s/it]
                                                         
{'loss': 2.14, 'grad_norm': 2.5372650623321533, 'learning_rate': 1.0486539534156356e-05, 'epoch': 0.06}

 71%|███████   | 7123/10000 [18:33:53<6:01:30,  7.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6988354325294495, dino_loss: 0.671875, depth_loss: 0.051733002066612244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0205087661743164, dino_loss: 0.66796875, depth_loss: 0.05638284608721733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████   | 7124/10000 [18:34:02<6:18:24,  7.89s/it]
                                                         
{'loss': 2.2881, 'grad_norm': 7.485377311706543, 'learning_rate': 1.0479808780600817e-05, 'epoch': 0.06}

 71%|███████   | 7124/10000 [18:34:02<6:18:24,  7.89s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8853583931922913, dino_loss: 0.66015625, depth_loss: 0.026760641485452652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8401225805282593, dino_loss: 0.7265625, depth_loss: 0.05405857041478157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7125/10000 [18:34:10<6:16:19,  7.85s/it]
                                                         
{'loss': 2.0685, 'grad_norm': 5.468002796173096, 'learning_rate': 1.0473079614951545e-05, 'epoch': 0.06}

 71%|███████▏  | 7125/10000 [18:34:10<6:16:19,  7.85s/it]the number of masks: 8
seg_loss: 1.0752509832382202, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7056430578231812, dino_loss: 0.72265625, depth_loss: 0.06402189284563065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7126/10000 [18:34:18<6:14:31,  7.82s/it]
                                                         
{'loss': 2.2231, 'grad_norm': 8.282814979553223, 'learning_rate': 1.046635203794445e-05, 'epoch': 0.06}

 71%|███████▏  | 7126/10000 [18:34:18<6:14:31,  7.82s/it]the number of masks: 8
seg_loss: 0.8586470484733582, dino_loss: 0.75, depth_loss: 0.07489575445652008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0611069202423096, dino_loss: 0.66015625, depth_loss: 0.04724104702472687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7127/10000 [18:34:26<6:18:45,  7.91s/it]
                                                         
{'loss': 2.7574, 'grad_norm': 6.8524169921875, 'learning_rate': 1.0459626050315241e-05, 'epoch': 0.06}

 71%|███████▏  | 7127/10000 [18:34:26<6:18:45,  7.91s/it]the number of masks: 8
seg_loss: 0.9795081615447998, dino_loss: 0.66796875, depth_loss: 0.04452463984489441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7155676484107971, dino_loss: 0.76171875, depth_loss: 0.06146061420440674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7128/10000 [18:34:33<6:05:43,  7.64s/it]
                                                         
{'loss': 2.3671, 'grad_norm': 5.8245110511779785, 'learning_rate': 1.0452901652799477e-05, 'epoch': 0.06}

 71%|███████▏  | 7128/10000 [18:34:33<6:05:43,  7.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8450292944908142, dino_loss: 0.66015625, depth_loss: 0.04919528216123581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8518412113189697, dino_loss: 0.75, depth_loss: 0.061139803379774094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7129/10000 [18:34:40<5:58:32,  7.49s/it]
                                                         
{'loss': 2.3904, 'grad_norm': 4.305452823638916, 'learning_rate': 1.0446178846132509e-05, 'epoch': 0.06}

 71%|███████▏  | 7129/10000 [18:34:40<5:58:32,  7.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9940475225448608, dino_loss: 0.6796875, depth_loss: 0.05864032357931137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8724769949913025, dino_loss: 0.73046875, depth_loss: 0.08754050731658936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7130/10000 [18:34:49<6:24:27,  8.04s/it]
                                                         
{'loss': 1.9517, 'grad_norm': 3.3830549716949463, 'learning_rate': 1.0439457631049549e-05, 'epoch': 0.06}

 71%|███████▏  | 7130/10000 [18:34:49<6:24:27,  8.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7850119471549988, dino_loss: 0.65625, depth_loss: 0.07222244143486023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9131888747215271, dino_loss: 0.640625, depth_loss: 0.05295292288064957, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7131/10000 [18:34:58<6:29:49,  8.15s/it]
                                                         
{'loss': 2.4856, 'grad_norm': 3.8222804069519043, 'learning_rate': 1.0432738008285603e-05, 'epoch': 0.06}

 71%|███████▏  | 7131/10000 [18:34:58<6:29:49,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8566076159477234, dino_loss: 0.8125, depth_loss: 0.060673706233501434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7679440975189209, dino_loss: 0.7265625, depth_loss: 0.06475190818309784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7132/10000 [18:35:06<6:29:32,  8.15s/it]
                                                         
{'loss': 2.1884, 'grad_norm': 4.615159034729004, 'learning_rate': 1.0426019978575524e-05, 'epoch': 0.06}

 71%|███████▏  | 7132/10000 [18:35:06<6:29:32,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8359031677246094, dino_loss: 0.71484375, depth_loss: 0.04518651217222214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7521736025810242, dino_loss: 0.66015625, depth_loss: 0.06563203036785126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7133/10000 [18:35:14<6:23:26,  8.02s/it]
                                                         
{'loss': 2.1999, 'grad_norm': 4.479928493499756, 'learning_rate': 1.041930354265399e-05, 'epoch': 0.06}

 71%|███████▏  | 7133/10000 [18:35:14<6:23:26,  8.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9435974359512329, dino_loss: 0.71875, depth_loss: 0.07456901669502258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7290889620780945, dino_loss: 0.69921875, depth_loss: 0.06718815118074417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7134/10000 [18:35:24<6:55:06,  8.69s/it]
                                                         
{'loss': 2.4178, 'grad_norm': 3.3477625846862793, 'learning_rate': 1.041258870125551e-05, 'epoch': 0.06}

 71%|███████▏  | 7134/10000 [18:35:24<6:55:06,  8.69s/it]the number of masks: 3
the number of masks: 8
seg_loss: 0.7857949733734131, dino_loss: 0.66015625, depth_loss: 0.07016754150390625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.7953824996948242, dino_loss: 0.6796875, depth_loss: 0.049712732434272766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7135/10000 [18:35:32<6:51:28,  8.62s/it]
                                                         
{'loss': 2.3339, 'grad_norm': 5.419290065765381, 'learning_rate': 1.0405875455114387e-05, 'epoch': 0.06}

 71%|███████▏  | 7135/10000 [18:35:32<6:51:28,  8.62s/it]the number of masks: 8
seg_loss: 0.9451504945755005, dino_loss: 0.7578125, depth_loss: 0.06846664100885391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0544319152832031, dino_loss: 0.625, depth_loss: 0.07142333686351776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7136/10000 [18:35:38<6:13:39,  7.83s/it]
                                                         
{'loss': 2.599, 'grad_norm': 3.973151683807373, 'learning_rate': 1.039916380496479e-05, 'epoch': 0.06}

 71%|███████▏  | 7136/10000 [18:35:38<6:13:39,  7.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7919876575469971, dino_loss: 0.70703125, depth_loss: 0.05454162880778313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8201437592506409, dino_loss: 0.625, depth_loss: 0.0575922429561615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7137/10000 [18:35:45<5:59:12,  7.53s/it]
                                                         
{'loss': 2.3658, 'grad_norm': 7.938523292541504, 'learning_rate': 1.039245375154068e-05, 'epoch': 0.06}

 71%|███████▏  | 7137/10000 [18:35:45<5:59:12,  7.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7863980531692505, dino_loss: 0.69140625, depth_loss: 0.06309006363153458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.2962702512741089, dino_loss: 0.6640625, depth_loss: 0.043605729937553406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7138/10000 [18:35:55<6:30:26,  8.19s/it]
                                                         
{'loss': 2.6038, 'grad_norm': 3.9356374740600586, 'learning_rate': 1.0385745295575866e-05, 'epoch': 0.06}

 71%|███████▏  | 7138/10000 [18:35:55<6:30:26,  8.19s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.875046968460083, dino_loss: 0.6796875, depth_loss: 0.07486389577388763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7572711706161499, dino_loss: 0.73828125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7139/10000 [18:36:02<6:15:11,  7.87s/it]
                                                         
{'loss': 2.514, 'grad_norm': 3.063079833984375, 'learning_rate': 1.0379038437803974e-05, 'epoch': 0.06}

 71%|███████▏  | 7139/10000 [18:36:02<6:15:11,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0174528360366821, dino_loss: 0.81640625, depth_loss: 0.11934159696102142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9469106197357178, dino_loss: 0.69140625, depth_loss: 0.054059531539678574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7140/10000 [18:36:10<6:16:07,  7.89s/it]
                                                         
{'loss': 2.441, 'grad_norm': 5.427755355834961, 'learning_rate': 1.0372333178958462e-05, 'epoch': 0.06}

 71%|███████▏  | 7140/10000 [18:36:10<6:16:07,  7.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8388053774833679, dino_loss: 0.65234375, depth_loss: 0.06797698885202408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8110383749008179, dino_loss: 0.0, depth_loss: 0.03572425991296768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7141/10000 [18:36:19<6:33:48,  8.26s/it]
                                                         
{'loss': 1.5946, 'grad_norm': 2.803304672241211, 'learning_rate': 1.0365629519772597e-05, 'epoch': 0.06}

 71%|███████▏  | 7141/10000 [18:36:19<6:33:48,  8.26s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.051286220550537, dino_loss: 0.59375, depth_loss: 0.07922874391078949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.4798705279827118, dino_loss: 0.59375, depth_loss: 0.04890210181474686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7142/10000 [18:36:27<6:34:11,  8.28s/it]
                                                         
{'loss': 2.2427, 'grad_norm': 4.523131370544434, 'learning_rate': 1.0358927460979493e-05, 'epoch': 0.06}

 71%|███████▏  | 7142/10000 [18:36:27<6:34:11,  8.28s/it]the number of masks: 8
seg_loss: 0.9737064242362976, dino_loss: 0.640625, depth_loss: 0.06272776424884796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0773911476135254, dino_loss: 0.6875, depth_loss: 0.051495201885700226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7143/10000 [18:36:33<5:59:43,  7.55s/it]
                                                         
{'loss': 2.1739, 'grad_norm': 5.33206033706665, 'learning_rate': 1.0352227003312056e-05, 'epoch': 0.06}

 71%|███████▏  | 7143/10000 [18:36:33<5:59:43,  7.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9983545541763306, dino_loss: 0.69140625, depth_loss: 0.06510806083679199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.61328125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7144/10000 [18:36:39<5:40:17,  7.15s/it]
                                                         
{'loss': 1.6201, 'grad_norm': 9.808869361877441, 'learning_rate': 1.0345528147503055e-05, 'epoch': 0.06}

 71%|███████▏  | 7144/10000 [18:36:39<5:40:17,  7.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7998777627944946, dino_loss: 0.7109375, depth_loss: 0.05193157121539116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7866166830062866, dino_loss: 0.69140625, depth_loss: 0.06499966979026794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7145/10000 [18:36:49<6:12:50,  7.84s/it]
                                                         
{'loss': 2.2101, 'grad_norm': 4.127737998962402, 'learning_rate': 1.0338830894285065e-05, 'epoch': 0.06}

 71%|███████▏  | 7145/10000 [18:36:49<6:12:50,  7.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9749593734741211, dino_loss: 0.71484375, depth_loss: 0.045070163905620575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8848926424980164, dino_loss: 0.65234375, depth_loss: 0.0501062273979187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7146/10000 [18:36:59<6:42:15,  8.46s/it]
                                                         
{'loss': 2.4221, 'grad_norm': 4.533472061157227, 'learning_rate': 1.0332135244390492e-05, 'epoch': 0.06}

 71%|███████▏  | 7146/10000 [18:36:59<6:42:15,  8.46s/it]the number of masks: 8
seg_loss: 0.6547746658325195, dino_loss: 0.703125, depth_loss: 0.053732242435216904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7155746817588806, dino_loss: 0.69921875, depth_loss: 0.06928247958421707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7147/10000 [18:37:05<6:15:59,  7.91s/it]
                                                         
{'loss': 2.7374, 'grad_norm': 6.728224277496338, 'learning_rate': 1.0325441198551546e-05, 'epoch': 0.06}

 71%|███████▏  | 7147/10000 [18:37:05<6:15:59,  7.91s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8794511556625366, dino_loss: 0.703125, depth_loss: 0.07367463409900665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
seg_loss: 0.7953054904937744, dino_loss: 0.6484375, depth_loss: 0.05014371499419212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7148/10000 [18:37:13<6:10:30,  7.79s/it]
                                                         
{'loss': 2.1913, 'grad_norm': 6.683935165405273, 'learning_rate': 1.031874875750029e-05, 'epoch': 0.06}

 71%|███████▏  | 7148/10000 [18:37:13<6:10:30,  7.79s/it]the number of masks: 8
seg_loss: 0.5332188010215759, dino_loss: 0.7109375, depth_loss: 0.06741433590650558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6658560037612915, dino_loss: 0.5078125, depth_loss: 0.056503310799598694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 71%|███████▏  | 7149/10000 [18:37:20<6:07:19,  7.73s/it]
                                                         
{'loss': 1.9108, 'grad_norm': 5.14469575881958, 'learning_rate': 1.0312057921968603e-05, 'epoch': 0.06}

 71%|███████▏  | 7149/10000 [18:37:20<6:07:19,  7.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7621373534202576, dino_loss: 0.64453125, depth_loss: 0.05169862508773804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7802824974060059, dino_loss: 0.73828125, depth_loss: 0.054406628012657166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7150/10000 [18:37:32<6:56:28,  8.77s/it]
                                                         
{'loss': 2.5342, 'grad_norm': 2.951383590698242, 'learning_rate': 1.0305368692688174e-05, 'epoch': 0.06}

 72%|███████▏  | 7150/10000 [18:37:32<6:56:28,  8.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7363497614860535, dino_loss: 0.0, depth_loss: 0.050612371414899826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.824708104133606, dino_loss: 0.65234375, depth_loss: 0.049126267433166504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7151/10000 [18:37:41<7:00:12,  8.85s/it]
                                                         
{'loss': 2.6422, 'grad_norm': 3.2194361686706543, 'learning_rate': 1.0298681070390528e-05, 'epoch': 0.06}

 72%|███████▏  | 7151/10000 [18:37:41<7:00:12,  8.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7698162198066711, dino_loss: 0.67578125, depth_loss: 0.050996746867895126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6328125, depth_loss: 0.04809965938329697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7152/10000 [18:37:48<6:40:34,  8.44s/it]
                                                         
{'loss': 1.6115, 'grad_norm': 2.302138566970825, 'learning_rate': 1.0291995055807019e-05, 'epoch': 0.06}

 72%|███████▏  | 7152/10000 [18:37:48<6:40:34,  8.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.820091962814331, dino_loss: 0.62890625, depth_loss: 0.07534655928611755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9894382953643799, dino_loss: 0.69140625, depth_loss: 0.07161393761634827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7153/10000 [18:37:55<6:20:52,  8.03s/it]
                                                         
{'loss': 2.2714, 'grad_norm': 3.9099574089050293, 'learning_rate': 1.0285310649668828e-05, 'epoch': 0.06}

 72%|███████▏  | 7153/10000 [18:37:55<6:20:52,  8.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9846253395080566, dino_loss: 0.6875, depth_loss: 0.058160025626420975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8545470237731934, dino_loss: 0.703125, depth_loss: 0.06828316301107407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7154/10000 [18:38:03<6:12:33,  7.85s/it]
                                                         
{'loss': 2.5452, 'grad_norm': 6.299722194671631, 'learning_rate': 1.0278627852706929e-05, 'epoch': 0.06}

 72%|███████▏  | 7154/10000 [18:38:03<6:12:33,  7.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.60886549949646, dino_loss: 0.62109375, depth_loss: 0.03925660252571106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8689969778060913, dino_loss: 0.671875, depth_loss: 0.05636277794837952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7155/10000 [18:38:13<6:46:48,  8.58s/it]
                                                         
{'loss': 2.2604, 'grad_norm': 3.4173130989074707, 'learning_rate': 1.0271946665652166e-05, 'epoch': 0.06}

 72%|███████▏  | 7155/10000 [18:38:13<6:46:48,  8.58s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0566529035568237, dino_loss: 0.6328125, depth_loss: 0.046412236988544464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9932202696800232, dino_loss: 0.6640625, depth_loss: 0.04626057296991348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7156/10000 [18:38:21<6:39:51,  8.44s/it]
                                                         
{'loss': 2.1208, 'grad_norm': 3.9503064155578613, 'learning_rate': 1.0265267089235161e-05, 'epoch': 0.06}

 72%|███████▏  | 7156/10000 [18:38:21<6:39:51,  8.44s/it]the number of masks: 8
seg_loss: 0.9141092300415039, dino_loss: 0.734375, depth_loss: 0.05776764079928398, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9782311916351318, dino_loss: 0.6953125, depth_loss: 0.09280985593795776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7157/10000 [18:38:27<6:08:52,  7.78s/it]
                                                         
{'loss': 2.3201, 'grad_norm': 3.1275362968444824, 'learning_rate': 1.0258589124186404e-05, 'epoch': 0.06}

 72%|███████▏  | 7157/10000 [18:38:27<6:08:52,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7601286172866821, dino_loss: 0.6796875, depth_loss: 0.04623324051499367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8425894975662231, dino_loss: 0.69140625, depth_loss: 0.06460151076316833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7158/10000 [18:38:35<6:14:57,  7.92s/it]
                                                         
{'loss': 1.9738, 'grad_norm': 2.0615227222442627, 'learning_rate': 1.0251912771236159e-05, 'epoch': 0.06}

 72%|███████▏  | 7158/10000 [18:38:35<6:14:57,  7.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7780001163482666, dino_loss: 0.6875, depth_loss: 0.04297023266553879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
seg_loss: 0.6165446639060974, dino_loss: 0.69921875, depth_loss: 0.0740700364112854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7159/10000 [18:38:44<6:29:22,  8.22s/it]
                                                         
{'loss': 1.9785, 'grad_norm': 4.424506187438965, 'learning_rate': 1.0245238031114578e-05, 'epoch': 0.06}

 72%|███████▏  | 7159/10000 [18:38:44<6:29:22,  8.22s/it]the number of masks: 8
seg_loss: 0.8578429818153381, dino_loss: 0.7421875, depth_loss: 0.06439346820116043, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8371725082397461, dino_loss: 0.7421875, depth_loss: 0.0840042233467102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7160/10000 [18:38:53<6:29:03,  8.22s/it]
                                                         
{'loss': 2.7656, 'grad_norm': 3.0794265270233154, 'learning_rate': 1.0238564904551574e-05, 'epoch': 0.06}

 72%|███████▏  | 7160/10000 [18:38:53<6:29:03,  8.22s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.8731878995895386, dino_loss: 0.66796875, depth_loss: 0.07946120947599411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.46442610025405884, dino_loss: 0.69140625, depth_loss: 0.032560598105192184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7161/10000 [18:39:02<6:47:59,  8.62s/it]
                                                         
{'loss': 1.9914, 'grad_norm': 4.173437595367432, 'learning_rate': 1.0231893392276926e-05, 'epoch': 0.06}

 72%|███████▏  | 7161/10000 [18:39:02<6:47:59,  8.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9125203490257263, dino_loss: 0.6875, depth_loss: 0.07526984065771103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7488570213317871, dino_loss: 0.65234375, depth_loss: 0.054828546941280365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7162/10000 [18:39:11<6:43:43,  8.54s/it]
                                                         
{'loss': 2.4488, 'grad_norm': 5.638442039489746, 'learning_rate': 1.0225223495020206e-05, 'epoch': 0.06}

 72%|███████▏  | 7162/10000 [18:39:11<6:43:43,  8.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7439920902252197, dino_loss: 0.7265625, depth_loss: 0.0527709536254406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7582521438598633, dino_loss: 0.64453125, depth_loss: 0.06273162364959717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7163/10000 [18:39:18<6:31:09,  8.27s/it]
                                                         
{'loss': 2.4167, 'grad_norm': 2.1036577224731445, 'learning_rate': 1.0218555213510839e-05, 'epoch': 0.06}

 72%|███████▏  | 7163/10000 [18:39:18<6:31:09,  8.27s/it]the number of masks: 8
seg_loss: 1.313488483428955, dino_loss: 0.66796875, depth_loss: 0.05427248775959015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9231879711151123, dino_loss: 0.71484375, depth_loss: 0.07469666004180908, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7164/10000 [18:39:26<6:30:21,  8.26s/it]
                                                         
{'loss': 2.5213, 'grad_norm': 4.083083152770996, 'learning_rate': 1.0211888548478033e-05, 'epoch': 0.06}

 72%|███████▏  | 7164/10000 [18:39:26<6:30:21,  8.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6422951817512512, dino_loss: 0.66796875, depth_loss: 0.05746323987841606, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6692481637001038, dino_loss: 0.65234375, depth_loss: 0.06257138401269913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7165/10000 [18:39:35<6:40:36,  8.48s/it]
                                                         
{'loss': 2.1183, 'grad_norm': 4.7286057472229, 'learning_rate': 1.0205223500650876e-05, 'epoch': 0.06}

 72%|███████▏  | 7165/10000 [18:39:35<6:40:36,  8.48s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7266485095024109, dino_loss: 0.6484375, depth_loss: 0.03384960815310478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8136214017868042, dino_loss: 0.66796875, depth_loss: 0.05393071472644806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7166/10000 [18:39:42<6:08:18,  7.80s/it]
                                                         
{'loss': 2.3101, 'grad_norm': 2.5036818981170654, 'learning_rate': 1.0198560070758229e-05, 'epoch': 0.06}

 72%|███████▏  | 7166/10000 [18:39:42<6:08:18,  7.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9980387091636658, dino_loss: 0.7265625, depth_loss: 0.06954081356525421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9301072359085083, dino_loss: 0.703125, depth_loss: 0.06536200642585754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7167/10000 [18:39:48<5:44:21,  7.29s/it]
                                                         
{'loss': 2.5645, 'grad_norm': 2.8425209522247314, 'learning_rate': 1.0191898259528807e-05, 'epoch': 0.06}

 72%|███████▏  | 7167/10000 [18:39:48<5:44:21,  7.29s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6725329160690308, dino_loss: 0.59765625, depth_loss: 0.06064099818468094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7480846047401428, dino_loss: 0.6796875, depth_loss: 0.054379891604185104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7168/10000 [18:39:55<5:37:43,  7.16s/it]
                                                         
{'loss': 1.7118, 'grad_norm': 2.0829615592956543, 'learning_rate': 1.0185238067691117e-05, 'epoch': 0.06}

 72%|███████▏  | 7168/10000 [18:39:55<5:37:43,  7.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7120273113250732, dino_loss: 0.734375, depth_loss: 0.06087694317102432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9428129196166992, dino_loss: 0.75390625, depth_loss: 0.06942696124315262, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7169/10000 [18:40:01<5:33:25,  7.07s/it]
                                                         
{'loss': 2.1619, 'grad_norm': 12.47818374633789, 'learning_rate': 1.017857949597352e-05, 'epoch': 0.06}

 72%|███████▏  | 7169/10000 [18:40:01<5:33:25,  7.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.5251694917678833, dino_loss: 0.6640625, depth_loss: 0.05284684896469116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9661935567855835, dino_loss: 0.0, depth_loss: 0.062210749834775925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7170/10000 [18:40:10<5:48:14,  7.38s/it]
                                                         
{'loss': 2.3574, 'grad_norm': 5.078470706939697, 'learning_rate': 1.0171922545104184e-05, 'epoch': 0.06}

 72%|███████▏  | 7170/10000 [18:40:10<5:48:14,  7.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8302615880966187, dino_loss: 0.72265625, depth_loss: 0.061541441828012466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8734889626502991, dino_loss: 0.67578125, depth_loss: 0.06836605072021484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7171/10000 [18:40:19<6:11:44,  7.88s/it]
                                                         
{'loss': 2.0726, 'grad_norm': 3.490365743637085, 'learning_rate': 1.0165267215811117e-05, 'epoch': 0.06}

 72%|███████▏  | 7171/10000 [18:40:19<6:11:44,  7.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9965438842773438, dino_loss: 0.6640625, depth_loss: 0.0646016001701355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7424920201301575, dino_loss: 0.80859375, depth_loss: 0.09537410736083984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7172/10000 [18:40:28<6:39:07,  8.47s/it]
                                                         
{'loss': 2.1328, 'grad_norm': 2.149763822555542, 'learning_rate': 1.0158613508822112e-05, 'epoch': 0.06}

 72%|███████▏  | 7172/10000 [18:40:28<6:39:07,  8.47s/it]the number of masks: 8
seg_loss: 0.8389896750450134, dino_loss: 0.71484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8884894251823425, dino_loss: 0.6875, depth_loss: 0.048171281814575195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7173/10000 [18:40:36<6:20:14,  8.07s/it]
                                                         
{'loss': 2.4566, 'grad_norm': 5.529705047607422, 'learning_rate': 1.015196142486482e-05, 'epoch': 0.06}

 72%|███████▏  | 7173/10000 [18:40:36<6:20:14,  8.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9001655578613281, dino_loss: 0.7265625, depth_loss: 0.0625806525349617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.765221357345581, dino_loss: 0.7109375, depth_loss: 0.08282627910375595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7174/10000 [18:40:44<6:24:57,  8.17s/it]
                                                         
{'loss': 2.2609, 'grad_norm': 8.320735931396484, 'learning_rate': 1.0145310964666713e-05, 'epoch': 0.06}

 72%|███████▏  | 7174/10000 [18:40:44<6:24:57,  8.17s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6918323636054993, dino_loss: 0.5859375, depth_loss: 0.04943399503827095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.742245614528656, dino_loss: 0.0, depth_loss: 0.04619088023900986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7175/10000 [18:40:50<6:01:04,  7.67s/it]
                                                         
{'loss': 1.3984, 'grad_norm': 10.050851821899414, 'learning_rate': 1.0138662128955053e-05, 'epoch': 0.06}

 72%|███████▏  | 7175/10000 [18:40:50<6:01:04,  7.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7037485837936401, dino_loss: 0.68359375, depth_loss: 0.06331157684326172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0082306861877441, dino_loss: 0.65625, depth_loss: 0.05799996480345726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7176/10000 [18:40:57<5:40:05,  7.23s/it]
                                                         
{'loss': 2.1704, 'grad_norm': 4.669005870819092, 'learning_rate': 1.0132014918456972e-05, 'epoch': 0.06}

 72%|███████▏  | 7176/10000 [18:40:57<5:40:05,  7.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6442303657531738, dino_loss: 0.58984375, depth_loss: 0.05384755879640579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7959243059158325, dino_loss: 0.66015625, depth_loss: 0.07217897474765778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7177/10000 [18:41:05<6:00:31,  7.66s/it]
                                                         
{'loss': 2.2952, 'grad_norm': 2.8644611835479736, 'learning_rate': 1.0125369333899364e-05, 'epoch': 0.06}

 72%|███████▏  | 7177/10000 [18:41:05<6:00:31,  7.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9295705556869507, dino_loss: 0.6640625, depth_loss: 0.056585218757390976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8298808336257935, dino_loss: 0.6796875, depth_loss: 0.0627724826335907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7178/10000 [18:41:16<6:35:45,  8.41s/it]
                                                         
{'loss': 2.3042, 'grad_norm': 4.578024864196777, 'learning_rate': 1.0118725376009025e-05, 'epoch': 0.06}

 72%|███████▏  | 7178/10000 [18:41:16<6:35:45,  8.41s/it]the number of masks: 8
seg_loss: 0.6382778286933899, dino_loss: 0.6796875, depth_loss: 0.028563207015395164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6875, depth_loss: 0.10323601216077805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7179/10000 [18:41:20<5:41:51,  7.27s/it]
                                                         
{'loss': 1.9775, 'grad_norm': 1.149499535560608, 'learning_rate': 1.0112083045512494e-05, 'epoch': 0.06}

 72%|███████▏  | 7179/10000 [18:41:20<5:41:51,  7.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8431916236877441, dino_loss: 0.66796875, depth_loss: 0.06577567756175995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8219090700149536, dino_loss: 0.734375, depth_loss: 0.06123999506235123, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7180/10000 [18:41:28<5:46:59,  7.38s/it]
                                                         
{'loss': 2.2583, 'grad_norm': 9.246822357177734, 'learning_rate': 1.0105442343136184e-05, 'epoch': 0.06}

 72%|███████▏  | 7180/10000 [18:41:28<5:46:59,  7.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6424670815467834, dino_loss: 0.5859375, depth_loss: 0.038339219987392426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.4710712134838104, dino_loss: 0.62890625, depth_loss: 0.07012376189231873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7181/10000 [18:41:35<5:51:03,  7.47s/it]
                                                         
{'loss': 1.6696, 'grad_norm': 3.424616813659668, 'learning_rate': 1.00988032696063e-05, 'epoch': 0.06}

 72%|███████▏  | 7181/10000 [18:41:35<5:51:03,  7.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6922540664672852, dino_loss: 0.58984375, depth_loss: 0.04161206632852554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8308247327804565, dino_loss: 0.6875, depth_loss: 0.06623171269893646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7182/10000 [18:41:43<5:57:36,  7.61s/it]
                                                         
{'loss': 1.7928, 'grad_norm': 3.489677667617798, 'learning_rate': 1.0092165825648895e-05, 'epoch': 0.06}

 72%|███████▏  | 7182/10000 [18:41:43<5:57:36,  7.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.925775408744812, dino_loss: 0.67578125, depth_loss: 0.07363992929458618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8214412927627563, dino_loss: 0.70703125, depth_loss: 0.06524818390607834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7183/10000 [18:41:51<6:02:55,  7.73s/it]
                                                         
{'loss': 2.3511, 'grad_norm': 5.866539478302002, 'learning_rate': 1.0085530011989803e-05, 'epoch': 0.06}

 72%|███████▏  | 7183/10000 [18:41:51<6:02:55,  7.73s/it]seg_loss: 0.0, dino_loss: 0.72265625, depth_loss: 0.05368473380804062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7737046480178833, dino_loss: 0.6953125, depth_loss: 0.09446552395820618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7184/10000 [18:41:57<5:30:24,  7.04s/it]
                                                         
{'loss': 2.0099, 'grad_norm': 9.52908992767334, 'learning_rate': 1.0078895829354742e-05, 'epoch': 0.06}

 72%|███████▏  | 7184/10000 [18:41:57<5:30:24,  7.04s/it]the number of masks: 8
seg_loss: 0.8625458478927612, dino_loss: 0.734375, depth_loss: 0.060582391917705536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9572172164916992, dino_loss: 0.671875, depth_loss: 0.06410080939531326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7185/10000 [18:42:04<5:33:44,  7.11s/it]
                                                         
{'loss': 2.3897, 'grad_norm': 6.085850238800049, 'learning_rate': 1.0072263278469194e-05, 'epoch': 0.06}

 72%|███████▏  | 7185/10000 [18:42:04<5:33:44,  7.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7989951968193054, dino_loss: 0.66015625, depth_loss: 0.04985427483916283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.906749427318573, dino_loss: 0.64453125, depth_loss: 0.05546285957098007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7186/10000 [18:42:14<6:14:43,  7.99s/it]
                                                         
{'loss': 1.8689, 'grad_norm': 2.7004239559173584, 'learning_rate': 1.0065632360058496e-05, 'epoch': 0.06}

 72%|███████▏  | 7186/10000 [18:42:14<6:14:43,  7.99s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.780032753944397, dino_loss: 0.640625, depth_loss: 0.06970980763435364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6092509031295776, dino_loss: 0.6328125, depth_loss: 0.05741726607084274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7187/10000 [18:42:22<6:10:07,  7.89s/it]
                                                         
{'loss': 1.9117, 'grad_norm': 3.420656681060791, 'learning_rate': 1.0059003074847781e-05, 'epoch': 0.06}

 72%|███████▏  | 7187/10000 [18:42:22<6:10:07,  7.89s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.7617406845092773, dino_loss: 0.7578125, depth_loss: 0.043755777180194855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.962680459022522, dino_loss: 0.69921875, depth_loss: 0.057656168937683105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7188/10000 [18:42:32<6:41:14,  8.56s/it]
                                                         
{'loss': 2.5743, 'grad_norm': 3.022197723388672, 'learning_rate': 1.0052375423562038e-05, 'epoch': 0.06}

 72%|███████▏  | 7188/10000 [18:42:32<6:41:14,  8.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8532232046127319, dino_loss: 0.71875, depth_loss: 0.057731643319129944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8774157762527466, dino_loss: 0.59765625, depth_loss: 0.06903683394193649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7189/10000 [18:42:40<6:40:02,  8.54s/it]
                                                         
{'loss': 2.4752, 'grad_norm': 8.565327644348145, 'learning_rate': 1.0045749406926026e-05, 'epoch': 0.06}

 72%|███████▏  | 7189/10000 [18:42:40<6:40:02,  8.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7560746669769287, dino_loss: 0.7109375, depth_loss: 0.05253524333238602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8345743417739868, dino_loss: 0.71875, depth_loss: 0.06404492259025574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7190/10000 [18:42:51<7:02:15,  9.02s/it]
                                                         
{'loss': 2.3464, 'grad_norm': 9.560060501098633, 'learning_rate': 1.0039125025664392e-05, 'epoch': 0.06}

 72%|███████▏  | 7190/10000 [18:42:51<7:02:15,  9.02s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.958784818649292, dino_loss: 0.6640625, depth_loss: 0.07352235168218613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.040573000907898, dino_loss: 0.6875, depth_loss: 0.0499095693230629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7191/10000 [18:42:59<6:56:41,  8.90s/it]
                                                         
{'loss': 2.6302, 'grad_norm': 10.680913925170898, 'learning_rate': 1.0032502280501543e-05, 'epoch': 0.06}

 72%|███████▏  | 7191/10000 [18:42:59<6:56:41,  8.90s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9033273458480835, dino_loss: 0.0, depth_loss: 0.05881839990615845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6792304515838623, dino_loss: 0.71875, depth_loss: 0.050806354731321335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7192/10000 [18:43:07<6:38:13,  8.51s/it]
                                                         
{'loss': 1.9487, 'grad_norm': 3.063117027282715, 'learning_rate': 1.0025881172161752e-05, 'epoch': 0.06}

 72%|███████▏  | 7192/10000 [18:43:07<6:38:13,  8.51s/it]the number of masks: 8
seg_loss: 0.7784470319747925, dino_loss: 0.65234375, depth_loss: 0.053507279604673386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8771417140960693, dino_loss: 0.69140625, depth_loss: 0.05365834757685661, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7193/10000 [18:43:14<6:19:23,  8.11s/it]
                                                         
{'loss': 2.5819, 'grad_norm': 4.655853748321533, 'learning_rate': 1.0019261701369073e-05, 'epoch': 0.06}

 72%|███████▏  | 7193/10000 [18:43:14<6:19:23,  8.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9304399490356445, dino_loss: 0.67578125, depth_loss: 0.06561852991580963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1570396423339844, dino_loss: 0.6953125, depth_loss: 0.07852905988693237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7194/10000 [18:43:22<6:21:38,  8.16s/it]
                                                         
{'loss': 2.7614, 'grad_norm': 5.381685256958008, 'learning_rate': 1.001264386884741e-05, 'epoch': 0.06}

 72%|███████▏  | 7194/10000 [18:43:22<6:21:38,  8.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5568018555641174, dino_loss: 0.65234375, depth_loss: 0.06019025295972824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6301774382591248, dino_loss: 0.58984375, depth_loss: 0.04830237478017807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7195/10000 [18:43:30<6:11:52,  7.95s/it]
                                                         
{'loss': 1.6572, 'grad_norm': 8.383171081542969, 'learning_rate': 1.0006027675320493e-05, 'epoch': 0.06}

 72%|███████▏  | 7195/10000 [18:43:30<6:11:52,  7.95s/it]the number of masks: 8
seg_loss: 0.9467986822128296, dino_loss: 0.6015625, depth_loss: 0.05123349651694298, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6284675598144531, dino_loss: 0.69140625, depth_loss: 0.07771822810173035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7196/10000 [18:43:35<5:33:13,  7.13s/it]
                                                         
{'loss': 1.9296, 'grad_norm': 6.440797805786133, 'learning_rate': 9.999413121511833e-06, 'epoch': 0.06}

 72%|███████▏  | 7196/10000 [18:43:35<5:33:13,  7.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8747165203094482, dino_loss: 0.68359375, depth_loss: 0.06753981858491898, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9601661562919617, dino_loss: 0.7265625, depth_loss: 0.056844353675842285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7197/10000 [18:43:43<5:45:21,  7.39s/it]
                                                         
{'loss': 2.1432, 'grad_norm': 4.912498474121094, 'learning_rate': 9.992800208144803e-06, 'epoch': 0.06}

 72%|███████▏  | 7197/10000 [18:43:43<5:45:21,  7.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9056721925735474, dino_loss: 0.6796875, depth_loss: 0.05695878714323044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7936198711395264, dino_loss: 0.7109375, depth_loss: 0.07352142781019211, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7198/10000 [18:43:52<6:02:02,  7.75s/it]
                                                         
{'loss': 2.0416, 'grad_norm': 3.061112880706787, 'learning_rate': 9.986188935942579e-06, 'epoch': 0.06}

 72%|███████▏  | 7198/10000 [18:43:52<6:02:02,  7.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.6251488924026489, dino_loss: 0.59375, depth_loss: 0.04438117891550064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4866901636123657, dino_loss: 0.578125, depth_loss: 0.06145474314689636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7199/10000 [18:43:59<5:58:12,  7.67s/it]
                                                         
{'loss': 1.6387, 'grad_norm': 3.5476036071777344, 'learning_rate': 9.97957930562817e-06, 'epoch': 0.06}

 72%|███████▏  | 7199/10000 [18:43:59<5:58:12,  7.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8945088386535645, dino_loss: 0.6484375, depth_loss: 0.08745413273572922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7130998969078064, dino_loss: 0.80859375, depth_loss: 0.08551137894392014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7200/10000 [18:44:07<6:09:03,  7.91s/it]
                                                         
{'loss': 2.3568, 'grad_norm': 6.67584753036499, 'learning_rate': 9.972971317924374e-06, 'epoch': 0.06}

 72%|███████▏  | 7200/10000 [18:44:07<6:09:03,  7.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7302353382110596, dino_loss: 0.7265625, depth_loss: 0.051840417087078094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.820595383644104, dino_loss: 0.62890625, depth_loss: 0.07097083330154419, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7201/10000 [18:44:16<6:13:18,  8.00s/it]
                                                         
{'loss': 1.6144, 'grad_norm': 6.009579658508301, 'learning_rate': 9.966364973553852e-06, 'epoch': 0.06}

 72%|███████▏  | 7201/10000 [18:44:16<6:13:18,  8.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9529156684875488, dino_loss: 0.671875, depth_loss: 0.08630934357643127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9706627130508423, dino_loss: 0.68359375, depth_loss: 0.04188880696892738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7202/10000 [18:44:25<6:27:32,  8.31s/it]
                                                         
{'loss': 2.3487, 'grad_norm': 3.3558177947998047, 'learning_rate': 9.959760273239035e-06, 'epoch': 0.06}

 72%|███████▏  | 7202/10000 [18:44:25<6:27:32,  8.31s/it]the number of masks: 8
seg_loss: 0.6594168543815613, dino_loss: 0.59375, depth_loss: 0.03965270519256592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8501404523849487, dino_loss: 0.671875, depth_loss: 0.06134694814682007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7203/10000 [18:44:31<5:56:48,  7.65s/it]
                                                         
{'loss': 1.8097, 'grad_norm': 3.5657949447631836, 'learning_rate': 9.953157217702242e-06, 'epoch': 0.06}

 72%|███████▏  | 7203/10000 [18:44:31<5:56:48,  7.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9398291110992432, dino_loss: 0.67578125, depth_loss: 0.05870825797319412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7891306281089783, dino_loss: 0.59375, depth_loss: 0.04835035279393196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7204/10000 [18:44:39<6:02:48,  7.79s/it]
                                                         
{'loss': 2.0922, 'grad_norm': 7.778168201446533, 'learning_rate': 9.946555807665542e-06, 'epoch': 0.06}

 72%|███████▏  | 7204/10000 [18:44:39<6:02:48,  7.79s/it]the number of masks: 8
seg_loss: 0.7984221577644348, dino_loss: 0.6328125, depth_loss: 0.053951382637023926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8437075614929199, dino_loss: 0.56640625, depth_loss: 0.058418117463588715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7205/10000 [18:44:46<5:58:49,  7.70s/it]
                                                         
{'loss': 2.1538, 'grad_norm': 5.544534206390381, 'learning_rate': 9.939956043850876e-06, 'epoch': 0.06}

 72%|███████▏  | 7205/10000 [18:44:46<5:58:49,  7.70s/it]the number of masks: 8
seg_loss: 0.7725546360015869, dino_loss: 0.69140625, depth_loss: 0.06847157329320908, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5065793991088867, dino_loss: 0.7578125, depth_loss: 0.04689962789416313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7206/10000 [18:44:54<5:54:24,  7.61s/it]
                                                         
{'loss': 1.4956, 'grad_norm': 2.8538818359375, 'learning_rate': 9.933357926979967e-06, 'epoch': 0.06}

 72%|███████▏  | 7206/10000 [18:44:54<5:54:24,  7.61s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.766481876373291, dino_loss: 0.57421875, depth_loss: 0.04980313405394554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9683245420455933, dino_loss: 0.703125, depth_loss: 0.09209852665662766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7207/10000 [18:45:02<5:58:47,  7.71s/it]
                                                         
{'loss': 2.0446, 'grad_norm': 3.8583972454071045, 'learning_rate': 9.926761457774389e-06, 'epoch': 0.06}

 72%|███████▏  | 7207/10000 [18:45:02<5:58:47,  7.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8778282403945923, dino_loss: 0.65234375, depth_loss: 0.05570949241518974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.021758794784546, dino_loss: 0.6796875, depth_loss: 0.06076150760054588, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7208/10000 [18:45:09<5:51:17,  7.55s/it]
                                                         
{'loss': 2.1, 'grad_norm': 6.88946533203125, 'learning_rate': 9.920166636955499e-06, 'epoch': 0.06}

 72%|███████▏  | 7208/10000 [18:45:09<5:51:17,  7.55s/it]the number of masks: 8
seg_loss: 0.8816236257553101, dino_loss: 0.73828125, depth_loss: 0.06727198511362076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8878862857818604, dino_loss: 0.75390625, depth_loss: 0.08089926838874817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7209/10000 [18:45:15<5:36:12,  7.23s/it]
                                                         
{'loss': 2.6523, 'grad_norm': 6.1566009521484375, 'learning_rate': 9.913573465244533e-06, 'epoch': 0.06}

 72%|███████▏  | 7209/10000 [18:45:15<5:36:12,  7.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.819852352142334, dino_loss: 0.578125, depth_loss: 0.07796407490968704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.882805347442627, dino_loss: 0.62890625, depth_loss: 0.05646086856722832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7210/10000 [18:45:23<5:39:42,  7.31s/it]
                                                         
{'loss': 1.9346, 'grad_norm': 4.736795425415039, 'learning_rate': 9.90698194336248e-06, 'epoch': 0.06}

 72%|███████▏  | 7210/10000 [18:45:23<5:39:42,  7.31s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8860531449317932, dino_loss: 0.6953125, depth_loss: 0.0733022540807724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7925243377685547, dino_loss: 0.72265625, depth_loss: 0.07044815272092819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7211/10000 [18:45:32<5:58:40,  7.72s/it]
                                                         
{'loss': 2.3267, 'grad_norm': 6.476447582244873, 'learning_rate': 9.900392072030199e-06, 'epoch': 0.06}

 72%|███████▏  | 7211/10000 [18:45:32<5:58:40,  7.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0097050666809082, dino_loss: 0.66015625, depth_loss: 0.04361403360962868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7794913053512573, dino_loss: 0.71484375, depth_loss: 0.08238186687231064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7212/10000 [18:45:38<5:40:59,  7.34s/it]
                                                         
{'loss': 2.4471, 'grad_norm': 5.5782270431518555, 'learning_rate': 9.89380385196833e-06, 'epoch': 0.06}

 72%|███████▏  | 7212/10000 [18:45:38<5:40:59,  7.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7495659589767456, dino_loss: 0.75390625, depth_loss: 0.05972372740507126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.941179633140564, dino_loss: 0.6796875, depth_loss: 0.045471228659152985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7213/10000 [18:45:48<6:14:27,  8.06s/it]
                                                         
{'loss': 2.4558, 'grad_norm': 5.067736625671387, 'learning_rate': 9.88721728389737e-06, 'epoch': 0.06}

 72%|███████▏  | 7213/10000 [18:45:48<6:14:27,  8.06s/it]the number of masks: 8
seg_loss: 0.8067722320556641, dino_loss: 0.73828125, depth_loss: 0.04681859165430069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7940610647201538, dino_loss: 0.60546875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7214/10000 [18:45:54<5:51:21,  7.57s/it]
                                                         
{'loss': 2.4611, 'grad_norm': 4.243324279785156, 'learning_rate': 9.880632368537595e-06, 'epoch': 0.06}

 72%|███████▏  | 7214/10000 [18:45:54<5:51:21,  7.57s/it]the number of masks: 8
seg_loss: 1.005812406539917, dino_loss: 0.6640625, depth_loss: 0.047532834112644196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7325137853622437, dino_loss: 0.6953125, depth_loss: 0.07675385475158691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7215/10000 [18:46:01<5:43:21,  7.40s/it]
                                                         
{'loss': 2.0516, 'grad_norm': 11.434361457824707, 'learning_rate': 9.874049106609135e-06, 'epoch': 0.06}

 72%|███████▏  | 7215/10000 [18:46:01<5:43:21,  7.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7424242496490479, dino_loss: 0.69921875, depth_loss: 0.06357379257678986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0827116966247559, dino_loss: 0.671875, depth_loss: 0.05615287274122238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7216/10000 [18:46:10<6:05:17,  7.87s/it]
                                                         
{'loss': 2.2812, 'grad_norm': 2.9553914070129395, 'learning_rate': 9.867467498831922e-06, 'epoch': 0.06}

 72%|███████▏  | 7216/10000 [18:46:10<6:05:17,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8983872532844543, dino_loss: 0.6875, depth_loss: 0.06280035525560379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.929709792137146, dino_loss: 0.67578125, depth_loss: 0.061227671802043915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7217/10000 [18:46:18<6:10:12,  7.98s/it]
                                                         
{'loss': 2.1051, 'grad_norm': 4.0777153968811035, 'learning_rate': 9.86088754592572e-06, 'epoch': 0.06}

 72%|███████▏  | 7217/10000 [18:46:18<6:10:12,  7.98s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7224898934364319, dino_loss: 0.0, depth_loss: 0.06679613143205643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7665672898292542, dino_loss: 0.71484375, depth_loss: 0.07605419307947159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7218/10000 [18:46:26<6:07:25,  7.92s/it]
                                                         
{'loss': 1.5307, 'grad_norm': 6.7556328773498535, 'learning_rate': 9.854309248610085e-06, 'epoch': 0.06}

 72%|███████▏  | 7218/10000 [18:46:26<6:07:25,  7.92s/it]the number of masks: 8
seg_loss: 0.7531514763832092, dino_loss: 0.66015625, depth_loss: 0.05271859094500542, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8176268339157104, dino_loss: 0.6796875, depth_loss: 0.05879637598991394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7219/10000 [18:46:34<5:59:14,  7.75s/it]
                                                         
{'loss': 2.1198, 'grad_norm': 3.4520938396453857, 'learning_rate': 9.847732607604424e-06, 'epoch': 0.06}

 72%|███████▏  | 7219/10000 [18:46:34<5:59:14,  7.75s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0109376907348633, dino_loss: 0.6953125, depth_loss: 0.05117907375097275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8276121616363525, dino_loss: 0.7578125, depth_loss: 0.04647023603320122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7220/10000 [18:46:44<6:32:00,  8.46s/it]
                                                         
{'loss': 2.3086, 'grad_norm': 3.534175395965576, 'learning_rate': 9.841157623627947e-06, 'epoch': 0.06}

 72%|███████▏  | 7220/10000 [18:46:44<6:32:00,  8.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9602870941162109, dino_loss: 0.69140625, depth_loss: 0.1073802188038826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9318788051605225, dino_loss: 0.71484375, depth_loss: 0.07432018220424652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7221/10000 [18:46:54<6:50:56,  8.87s/it]
                                                         
{'loss': 2.6058, 'grad_norm': 2.5806338787078857, 'learning_rate': 9.834584297399677e-06, 'epoch': 0.06}

 72%|███████▏  | 7221/10000 [18:46:54<6:50:56,  8.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8846800327301025, dino_loss: 0.7109375, depth_loss: 0.06415637582540512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8409442901611328, dino_loss: 0.640625, depth_loss: 0.09306622296571732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7222/10000 [18:47:01<6:25:00,  8.32s/it]
                                                         
{'loss': 2.2958, 'grad_norm': 5.447778701782227, 'learning_rate': 9.828012629638464e-06, 'epoch': 0.06}

 72%|███████▏  | 7222/10000 [18:47:01<6:25:00,  8.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9382525682449341, dino_loss: 0.64453125, depth_loss: 0.06421967595815659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6328125, depth_loss: 0.07199756801128387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7223/10000 [18:47:07<5:59:08,  7.76s/it]
                                                         
{'loss': 1.9291, 'grad_norm': 5.010773658752441, 'learning_rate': 9.821442621062982e-06, 'epoch': 0.06}

 72%|███████▏  | 7223/10000 [18:47:07<5:59:08,  7.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8891826868057251, dino_loss: 0.68359375, depth_loss: 0.0496048778295517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9623681306838989, dino_loss: 0.61328125, depth_loss: 0.04071369022130966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7224/10000 [18:47:16<6:19:58,  8.21s/it]
                                                         
{'loss': 1.9039, 'grad_norm': 4.7570672035217285, 'learning_rate': 9.814874272391722e-06, 'epoch': 0.06}

 72%|███████▏  | 7224/10000 [18:47:16<6:19:58,  8.21s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7157433032989502, dino_loss: 0.6484375, depth_loss: 0.05664684996008873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8053433895111084, dino_loss: 0.7265625, depth_loss: 0.07676951587200165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7225/10000 [18:47:23<5:53:53,  7.65s/it]
                                                         
{'loss': 2.6171, 'grad_norm': 6.585616111755371, 'learning_rate': 9.808307584342971e-06, 'epoch': 0.06}

 72%|███████▏  | 7225/10000 [18:47:23<5:53:53,  7.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0099279880523682, dino_loss: 0.6796875, depth_loss: 0.06387770175933838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8855389952659607, dino_loss: 0.63671875, depth_loss: 0.04474525898694992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7226/10000 [18:47:35<6:54:20,  8.96s/it]
                                                         
{'loss': 2.1371, 'grad_norm': 3.7723278999328613, 'learning_rate': 9.801742557634872e-06, 'epoch': 0.06}

 72%|███████▏  | 7226/10000 [18:47:35<6:54:20,  8.96s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8753276467323303, dino_loss: 0.66015625, depth_loss: 0.033525820821523666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8887386918067932, dino_loss: 0.62109375, depth_loss: 0.04181578755378723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7227/10000 [18:47:42<6:38:14,  8.62s/it]
                                                         
{'loss': 2.5637, 'grad_norm': 3.0170581340789795, 'learning_rate': 9.795179192985349e-06, 'epoch': 0.06}

 72%|███████▏  | 7227/10000 [18:47:42<6:38:14,  8.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8071593046188354, dino_loss: 0.703125, depth_loss: 0.0730263888835907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8690129518508911, dino_loss: 0.65234375, depth_loss: 0.06071238964796066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7228/10000 [18:47:52<6:56:37,  9.02s/it]
                                                         
{'loss': 2.1957, 'grad_norm': 4.657615661621094, 'learning_rate': 9.788617491112167e-06, 'epoch': 0.07}

 72%|███████▏  | 7228/10000 [18:47:52<6:56:37,  9.02s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1158063411712646, dino_loss: 0.609375, depth_loss: 0.046129241585731506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8388352394104004, dino_loss: 0.7109375, depth_loss: 0.09030145406723022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7229/10000 [18:48:00<6:30:51,  8.46s/it]
                                                         
{'loss': 2.1272, 'grad_norm': 14.598859786987305, 'learning_rate': 9.782057452732906e-06, 'epoch': 0.07}

 72%|███████▏  | 7229/10000 [18:48:00<6:30:51,  8.46s/it]the number of masks: 8
seg_loss: 0.7012456655502319, dino_loss: 0.70703125, depth_loss: 0.045151080936193466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9652047157287598, dino_loss: 0.6875, depth_loss: 0.056098341941833496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7230/10000 [18:48:06<6:06:16,  7.93s/it]
                                                         
{'loss': 2.1284, 'grad_norm': 2.3410513401031494, 'learning_rate': 9.775499078564973e-06, 'epoch': 0.07}

 72%|███████▏  | 7230/10000 [18:48:06<6:06:16,  7.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9749441742897034, dino_loss: 0.76953125, depth_loss: 0.06698349118232727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.001017689704895, dino_loss: 0.80859375, depth_loss: 0.10685940831899643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7231/10000 [18:48:14<5:57:17,  7.74s/it]
                                                         
{'loss': 2.1452, 'grad_norm': 4.800159931182861, 'learning_rate': 9.768942369325563e-06, 'epoch': 0.07}

 72%|███████▏  | 7231/10000 [18:48:14<5:57:17,  7.74s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5996686816215515, dino_loss: 0.65234375, depth_loss: 0.0752827450633049, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.785703182220459, dino_loss: 0.7109375, depth_loss: 0.04974673315882683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7232/10000 [18:48:23<6:14:26,  8.12s/it]
                                                         
{'loss': 1.7056, 'grad_norm': 2.901625156402588, 'learning_rate': 9.762387325731723e-06, 'epoch': 0.07}

 72%|███████▏  | 7232/10000 [18:48:23<6:14:26,  8.12s/it]the number of masks: 8
seg_loss: 0.8854092955589294, dino_loss: 0.69921875, depth_loss: 0.05323951318860054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6484375, depth_loss: 0.05188610404729843, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7233/10000 [18:48:27<5:29:51,  7.15s/it]
                                                         
{'loss': 2.0594, 'grad_norm': 5.2026801109313965, 'learning_rate': 9.755833948500287e-06, 'epoch': 0.07}

 72%|███████▏  | 7233/10000 [18:48:27<5:29:51,  7.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7238978147506714, dino_loss: 0.79296875, depth_loss: 0.06129978597164154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0110392570495605, dino_loss: 0.6640625, depth_loss: 0.06244848296046257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7234/10000 [18:48:38<6:13:55,  8.11s/it]
                                                         
{'loss': 2.4479, 'grad_norm': 9.699483871459961, 'learning_rate': 9.749282238347932e-06, 'epoch': 0.07}

 72%|███████▏  | 7234/10000 [18:48:38<6:13:55,  8.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9724757075309753, dino_loss: 0.625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.947198748588562, dino_loss: 0.72265625, depth_loss: 0.05453941226005554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7235/10000 [18:48:45<5:58:55,  7.79s/it]
                                                         
{'loss': 2.1969, 'grad_norm': 8.868749618530273, 'learning_rate': 9.742732195991142e-06, 'epoch': 0.07}

 72%|███████▏  | 7235/10000 [18:48:45<5:58:55,  7.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7843986749649048, dino_loss: 0.67578125, depth_loss: 0.07286122441291809, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9269063472747803, dino_loss: 0.64453125, depth_loss: 0.04910419508814812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7236/10000 [18:48:53<6:01:34,  7.85s/it]
                                                         
{'loss': 2.1342, 'grad_norm': 7.506131649017334, 'learning_rate': 9.736183822146228e-06, 'epoch': 0.07}

 72%|███████▏  | 7236/10000 [18:48:53<6:01:34,  7.85s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9646505117416382, dino_loss: 0.71484375, depth_loss: 0.049414634704589844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9404209852218628, dino_loss: 0.703125, depth_loss: 0.051378026604652405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7237/10000 [18:49:01<6:02:07,  7.86s/it]
                                                         
{'loss': 2.5039, 'grad_norm': 4.297377109527588, 'learning_rate': 9.729637117529295e-06, 'epoch': 0.07}

 72%|███████▏  | 7237/10000 [18:49:01<6:02:07,  7.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8659051656723022, dino_loss: 0.6796875, depth_loss: 0.07179348170757294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9890385866165161, dino_loss: 0.609375, depth_loss: 0.05052248761057854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7238/10000 [18:49:09<6:07:07,  7.98s/it]
                                                         
{'loss': 2.2687, 'grad_norm': 4.715500831604004, 'learning_rate': 9.723092082856294e-06, 'epoch': 0.07}

 72%|███████▏  | 7238/10000 [18:49:09<6:07:07,  7.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9488486051559448, dino_loss: 0.72265625, depth_loss: 0.07081710547208786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.976452648639679, dino_loss: 0.6484375, depth_loss: 0.041559427976608276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7239/10000 [18:49:16<6:00:13,  7.83s/it]
                                                         
{'loss': 2.2315, 'grad_norm': 4.457601070404053, 'learning_rate': 9.716548718842968e-06, 'epoch': 0.07}

 72%|███████▏  | 7239/10000 [18:49:16<6:00:13,  7.83s/it]the number of masks: 8
seg_loss: 0.9181225299835205, dino_loss: 0.671875, depth_loss: 0.0536598265171051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8994863033294678, dino_loss: 0.67578125, depth_loss: 0.06976447254419327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7240/10000 [18:49:25<6:04:58,  7.93s/it]
                                                         
{'loss': 2.0023, 'grad_norm': 5.020309925079346, 'learning_rate': 9.710007026204895e-06, 'epoch': 0.07}

 72%|███████▏  | 7240/10000 [18:49:25<6:04:58,  7.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8939301371574402, dino_loss: 0.69140625, depth_loss: 0.05004207789897919, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.48494604229927063, dino_loss: 0.51171875, depth_loss: 0.04431598633527756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7241/10000 [18:49:34<6:29:18,  8.47s/it]
                                                         
{'loss': 2.1656, 'grad_norm': 2.1166460514068604, 'learning_rate': 9.703467005657466e-06, 'epoch': 0.07}

 72%|███████▏  | 7241/10000 [18:49:34<6:29:18,  8.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6349226236343384, dino_loss: 0.625, depth_loss: 0.0543602854013443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9704346656799316, dino_loss: 0.67578125, depth_loss: 0.04519753158092499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7242/10000 [18:49:41<6:00:30,  7.84s/it]
                                                         
{'loss': 2.21, 'grad_norm': 2.7564616203308105, 'learning_rate': 9.696928657915896e-06, 'epoch': 0.07}

 72%|███████▏  | 7242/10000 [18:49:41<6:00:30,  7.84s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9160780906677246, dino_loss: 0.6328125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9491002559661865, dino_loss: 0.65234375, depth_loss: 0.05824724957346916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7243/10000 [18:49:49<6:07:42,  8.00s/it]
                                                         
{'loss': 2.5908, 'grad_norm': 2.647686719894409, 'learning_rate': 9.690391983695191e-06, 'epoch': 0.07}

 72%|███████▏  | 7243/10000 [18:49:49<6:07:42,  8.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7982047200202942, dino_loss: 0.68359375, depth_loss: 0.058280300348997116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.764062225818634, dino_loss: 0.63671875, depth_loss: 0.1055954247713089, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7244/10000 [18:49:59<6:30:02,  8.49s/it]
                                                         
{'loss': 2.3414, 'grad_norm': 2.0661332607269287, 'learning_rate': 9.683856983710202e-06, 'epoch': 0.07}

 72%|███████▏  | 7244/10000 [18:49:59<6:30:02,  8.49s/it]the number of masks: 8
seg_loss: 0.6549772024154663, dino_loss: 0.65234375, depth_loss: 0.05780477449297905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7333971858024597, dino_loss: 0.7109375, depth_loss: 0.068280428647995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7245/10000 [18:50:04<5:50:36,  7.64s/it]
                                                         
{'loss': 2.1434, 'grad_norm': 6.796703815460205, 'learning_rate': 9.677323658675594e-06, 'epoch': 0.07}

 72%|███████▏  | 7245/10000 [18:50:04<5:50:36,  7.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9797849655151367, dino_loss: 0.6640625, depth_loss: 0.08979415893554688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0289037227630615, dino_loss: 0.63671875, depth_loss: 0.06767606735229492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7246/10000 [18:50:11<5:38:37,  7.38s/it]
                                                         
{'loss': 2.0367, 'grad_norm': 5.5292277336120605, 'learning_rate': 9.670792009305823e-06, 'epoch': 0.07}

 72%|███████▏  | 7246/10000 [18:50:11<5:38:37,  7.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.874346137046814, dino_loss: 0.6796875, depth_loss: 0.06797490268945694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8271801471710205, dino_loss: 0.609375, depth_loss: 0.043330274522304535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7247/10000 [18:50:22<6:19:56,  8.28s/it]
                                                         
{'loss': 2.0211, 'grad_norm': 5.851203441619873, 'learning_rate': 9.664262036315194e-06, 'epoch': 0.07}

 72%|███████▏  | 7247/10000 [18:50:22<6:19:56,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8840085864067078, dino_loss: 0.67578125, depth_loss: 0.053065042942762375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8714298009872437, dino_loss: 0.6953125, depth_loss: 0.07560235261917114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7248/10000 [18:50:30<6:21:29,  8.32s/it]
                                                         
{'loss': 2.4966, 'grad_norm': 6.4217448234558105, 'learning_rate': 9.657733740417809e-06, 'epoch': 0.07}

 72%|███████▏  | 7248/10000 [18:50:30<6:21:29,  8.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9780628681182861, dino_loss: 0.67578125, depth_loss: 0.07377723604440689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9283525347709656, dino_loss: 0.71875, depth_loss: 0.062360964715480804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▏  | 7249/10000 [18:50:40<6:40:34,  8.74s/it]
                                                         
{'loss': 2.4196, 'grad_norm': 3.089082956314087, 'learning_rate': 9.651207122327605e-06, 'epoch': 0.07}

 72%|███████▏  | 7249/10000 [18:50:40<6:40:34,  8.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9829847812652588, dino_loss: 0.671875, depth_loss: 0.06200891733169556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7033740282058716, dino_loss: 0.6484375, depth_loss: 0.05531953647732735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 72%|███████▎  | 7250/10000 [18:50:49<6:49:48,  8.94s/it]
                                                         
{'loss': 2.5296, 'grad_norm': 3.935697078704834, 'learning_rate': 9.644682182758306e-06, 'epoch': 0.07}

 72%|███████▎  | 7250/10000 [18:50:49<6:49:48,  8.94s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6096181869506836, dino_loss: 0.59375, depth_loss: 0.028741296380758286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0930218696594238, dino_loss: 0.69140625, depth_loss: 0.0528789758682251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7251/10000 [18:50:55<6:06:00,  7.99s/it]
                                                         
{'loss': 1.6338, 'grad_norm': 3.34030818939209, 'learning_rate': 9.638158922423484e-06, 'epoch': 0.07}

 73%|███████▎  | 7251/10000 [18:50:55<6:06:00,  7.99s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7562826871871948, dino_loss: 0.64453125, depth_loss: 0.08085072785615921, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6970229744911194, dino_loss: 0.59765625, depth_loss: 0.04049525037407875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7252/10000 [18:51:05<6:30:03,  8.52s/it]
                                                         
{'loss': 2.0229, 'grad_norm': 2.563382863998413, 'learning_rate': 9.631637342036497e-06, 'epoch': 0.07}

 73%|███████▎  | 7252/10000 [18:51:05<6:30:03,  8.52s/it]the number of masks: 8
seg_loss: 0.9480085968971252, dino_loss: 0.65625, depth_loss: 0.06200601905584335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7566096782684326, dino_loss: 0.7265625, depth_loss: 0.059573765844106674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7253/10000 [18:51:13<6:31:47,  8.56s/it]
                                                         
{'loss': 2.4298, 'grad_norm': 7.858672142028809, 'learning_rate': 9.625117442310546e-06, 'epoch': 0.07}

 73%|███████▎  | 7253/10000 [18:51:13<6:31:47,  8.56s/it]the number of masks: 8
seg_loss: 1.0783767700195312, dino_loss: 0.703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5168247222900391, dino_loss: 0.5625, depth_loss: 0.05314549058675766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7254/10000 [18:51:21<6:21:04,  8.33s/it]
                                                         
{'loss': 2.7156, 'grad_norm': 3.7875354290008545, 'learning_rate': 9.618599223958635e-06, 'epoch': 0.07}

 73%|███████▎  | 7254/10000 [18:51:21<6:21:04,  8.33s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.7128598093986511, dino_loss: 0.58203125, depth_loss: 0.04161414876580238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.994468629360199, dino_loss: 0.6953125, depth_loss: 0.04945535957813263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7255/10000 [18:51:30<6:36:33,  8.67s/it]
                                                         
{'loss': 2.2806, 'grad_norm': 5.852808952331543, 'learning_rate': 9.612082687693597e-06, 'epoch': 0.07}

 73%|███████▎  | 7255/10000 [18:51:30<6:36:33,  8.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.053900957107544, dino_loss: 0.69140625, depth_loss: 0.07375582307577133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0537278652191162, dino_loss: 0.66796875, depth_loss: 0.060093022882938385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7256/10000 [18:51:38<6:20:25,  8.32s/it]
                                                         
{'loss': 2.6349, 'grad_norm': 3.129194498062134, 'learning_rate': 9.605567834228048e-06, 'epoch': 0.07}

 73%|███████▎  | 7256/10000 [18:51:38<6:20:25,  8.32s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6132528781890869, dino_loss: 0.69140625, depth_loss: 0.0464579239487648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.773439347743988, dino_loss: 0.0, depth_loss: 0.05225413292646408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7257/10000 [18:51:46<6:20:57,  8.33s/it]
                                                         
{'loss': 1.6061, 'grad_norm': 3.983851194381714, 'learning_rate': 9.599054664274471e-06, 'epoch': 0.07}

 73%|███████▎  | 7257/10000 [18:51:46<6:20:57,  8.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.995236873626709, dino_loss: 0.6875, depth_loss: 0.05342515558004379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6493006944656372, dino_loss: 0.66796875, depth_loss: 0.09207522869110107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7258/10000 [18:51:54<6:05:46,  8.00s/it]
                                                         
{'loss': 2.0593, 'grad_norm': 2.9352493286132812, 'learning_rate': 9.592543178545107e-06, 'epoch': 0.07}

 73%|███████▎  | 7258/10000 [18:51:54<6:05:46,  8.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6603201627731323, dino_loss: 0.6484375, depth_loss: 0.05342504009604454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5611155033111572, dino_loss: 0.5859375, depth_loss: 0.053786735981702805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7259/10000 [18:52:02<6:09:40,  8.09s/it]
                                                         
{'loss': 1.5809, 'grad_norm': 2.3720643520355225, 'learning_rate': 9.586033377752057e-06, 'epoch': 0.07}

 73%|███████▎  | 7259/10000 [18:52:02<6:09:40,  8.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8213601112365723, dino_loss: 0.68359375, depth_loss: 0.0684015080332756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9818391799926758, dino_loss: 0.7890625, depth_loss: 0.06955263018608093, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7260/10000 [18:52:10<6:07:45,  8.05s/it]
                                                         
{'loss': 2.6716, 'grad_norm': 3.1746323108673096, 'learning_rate': 9.579525262607226e-06, 'epoch': 0.07}

 73%|███████▎  | 7260/10000 [18:52:10<6:07:45,  8.05s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6692548990249634, dino_loss: 0.5859375, depth_loss: 0.045043472200632095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.972856342792511, dino_loss: 0.7109375, depth_loss: 0.06998312473297119, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7261/10000 [18:52:17<5:52:38,  7.72s/it]
                                                         
{'loss': 3.1147, 'grad_norm': 4.777337551116943, 'learning_rate': 9.57301883382233e-06, 'epoch': 0.07}

 73%|███████▎  | 7261/10000 [18:52:17<5:52:38,  7.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5655809044837952, dino_loss: 0.65625, depth_loss: 0.04841448366641998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1637061834335327, dino_loss: 0.70703125, depth_loss: 0.060873210430145264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7262/10000 [18:52:27<6:20:28,  8.34s/it]
                                                         
{'loss': 2.1117, 'grad_norm': 3.749465227127075, 'learning_rate': 9.566514092108898e-06, 'epoch': 0.07}

 73%|███████▎  | 7262/10000 [18:52:27<6:20:28,  8.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.822734534740448, dino_loss: 0.69140625, depth_loss: 0.08348793536424637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.2207947969436646, dino_loss: 0.6328125, depth_loss: 0.09489507973194122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7263/10000 [18:52:35<6:15:53,  8.24s/it]
                                                         
{'loss': 2.3077, 'grad_norm': 5.918841361999512, 'learning_rate': 9.560011038178287e-06, 'epoch': 0.07}

 73%|███████▎  | 7263/10000 [18:52:35<6:15:53,  8.24s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7747784852981567, dino_loss: 0.69140625, depth_loss: 0.05989509075880051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.789179801940918, dino_loss: 0.64453125, depth_loss: 0.09221695363521576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7264/10000 [18:52:43<6:23:49,  8.42s/it]
                                                         
{'loss': 2.5996, 'grad_norm': 3.528856039047241, 'learning_rate': 9.553509672741645e-06, 'epoch': 0.07}

 73%|███████▎  | 7264/10000 [18:52:43<6:23:49,  8.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8457932472229004, dino_loss: 0.671875, depth_loss: 0.058005861937999725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9689127206802368, dino_loss: 0.66015625, depth_loss: 0.052771203219890594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7265/10000 [18:52:51<6:18:00,  8.29s/it]
                                                         
{'loss': 2.7773, 'grad_norm': 5.109477519989014, 'learning_rate': 9.547009996509964e-06, 'epoch': 0.07}

 73%|███████▎  | 7265/10000 [18:52:51<6:18:00,  8.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8151940107345581, dino_loss: 0.85546875, depth_loss: 0.06105609983205795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0228784084320068, dino_loss: 0.7421875, depth_loss: 0.0597272664308548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7266/10000 [18:53:00<6:17:14,  8.28s/it]
                                                         
{'loss': 2.423, 'grad_norm': 4.847348213195801, 'learning_rate': 9.540512010194035e-06, 'epoch': 0.07}

 73%|███████▎  | 7266/10000 [18:53:00<6:17:14,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9430534243583679, dino_loss: 0.59765625, depth_loss: 0.03373945131897926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8369919657707214, dino_loss: 0.69921875, depth_loss: 0.07780580222606659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7267/10000 [18:53:08<6:20:52,  8.36s/it]
                                                         
{'loss': 2.4901, 'grad_norm': 6.887413024902344, 'learning_rate': 9.53401571450448e-06, 'epoch': 0.07}

 73%|███████▎  | 7267/10000 [18:53:08<6:20:52,  8.36s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.03758510947227478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9809814691543579, dino_loss: 0.6796875, depth_loss: 0.04970046877861023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7268/10000 [18:53:16<6:06:29,  8.05s/it]
                                                         
{'loss': 1.5637, 'grad_norm': 2.4436187744140625, 'learning_rate': 9.527521110151704e-06, 'epoch': 0.07}

 73%|███████▎  | 7268/10000 [18:53:16<6:06:29,  8.05s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9243786334991455, dino_loss: 0.68359375, depth_loss: 0.0653686597943306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8692964315414429, dino_loss: 0.66015625, depth_loss: 0.06344816833734512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7269/10000 [18:53:23<6:01:24,  7.94s/it]
                                                         
{'loss': 2.6094, 'grad_norm': 4.798238277435303, 'learning_rate': 9.521028197845957e-06, 'epoch': 0.07}

 73%|███████▎  | 7269/10000 [18:53:23<6:01:24,  7.94s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.939649760723114, dino_loss: 0.68359375, depth_loss: 0.06718464195728302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7333871126174927, dino_loss: 0.66796875, depth_loss: 0.06368905305862427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7270/10000 [18:53:31<5:59:42,  7.91s/it]
                                                         
{'loss': 2.368, 'grad_norm': 4.910182476043701, 'learning_rate': 9.514536978297303e-06, 'epoch': 0.07}

 73%|███████▎  | 7270/10000 [18:53:31<5:59:42,  7.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8029483556747437, dino_loss: 0.66796875, depth_loss: 0.0577772855758667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6879183053970337, dino_loss: 0.78515625, depth_loss: 0.04488164931535721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7271/10000 [18:53:40<6:13:07,  8.20s/it]
                                                         
{'loss': 2.3827, 'grad_norm': 9.186450004577637, 'learning_rate': 9.508047452215593e-06, 'epoch': 0.07}

 73%|███████▎  | 7271/10000 [18:53:40<6:13:07,  8.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8824472427368164, dino_loss: 0.6796875, depth_loss: 0.06422971189022064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8870007395744324, dino_loss: 0.6796875, depth_loss: 0.08405975997447968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7272/10000 [18:53:50<6:34:33,  8.68s/it]
                                                         
{'loss': 2.2843, 'grad_norm': 3.1733741760253906, 'learning_rate': 9.501559620310523e-06, 'epoch': 0.07}

 73%|███████▎  | 7272/10000 [18:53:50<6:34:33,  8.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5581529140472412, dino_loss: 0.6015625, depth_loss: 0.04877768084406853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8270689845085144, dino_loss: 0.671875, depth_loss: 0.0851934626698494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7273/10000 [18:53:56<6:06:42,  8.07s/it]
                                                         
{'loss': 1.8794, 'grad_norm': 6.546411037445068, 'learning_rate': 9.495073483291592e-06, 'epoch': 0.07}

 73%|███████▎  | 7273/10000 [18:53:56<6:06:42,  8.07s/it]the number of masks: 8
seg_loss: 0.665165364742279, dino_loss: 0.71484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0897853374481201, dino_loss: 0.62890625, depth_loss: 0.05350431054830551, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7274/10000 [18:54:05<6:14:50,  8.25s/it]
                                                         
{'loss': 2.6883, 'grad_norm': 4.1234846115112305, 'learning_rate': 9.488589041868121e-06, 'epoch': 0.07}

 73%|███████▎  | 7274/10000 [18:54:05<6:14:50,  8.25s/it]the number of masks: 8
seg_loss: 0.8548736572265625, dino_loss: 0.65234375, depth_loss: 0.0488729365170002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9212273359298706, dino_loss: 0.66796875, depth_loss: 0.07208359241485596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7275/10000 [18:54:11<5:47:34,  7.65s/it]
                                                         
{'loss': 1.9894, 'grad_norm': 4.335313320159912, 'learning_rate': 9.482106296749221e-06, 'epoch': 0.07}

 73%|███████▎  | 7275/10000 [18:54:11<5:47:34,  7.65s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.7949107885360718, dino_loss: 0.6640625, depth_loss: 0.06319473683834076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9594600796699524, dino_loss: 0.6640625, depth_loss: 0.06282540410757065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7276/10000 [18:54:21<6:20:35,  8.38s/it]
                                                         
{'loss': 2.1007, 'grad_norm': 4.577296733856201, 'learning_rate': 9.475625248643858e-06, 'epoch': 0.07}

 73%|███████▎  | 7276/10000 [18:54:21<6:20:35,  8.38s/it]the number of masks: 8
seg_loss: 0.7974675893783569, dino_loss: 0.640625, depth_loss: 0.059661202132701874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.6518224477767944, dino_loss: 0.6640625, depth_loss: 0.06187387555837631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7277/10000 [18:54:29<6:15:54,  8.28s/it]
                                                         
{'loss': 2.1306, 'grad_norm': 4.961997985839844, 'learning_rate': 9.469145898260767e-06, 'epoch': 0.07}

 73%|███████▎  | 7277/10000 [18:54:29<6:15:54,  8.28s/it]the number of masks: 8
seg_loss: 0.850684642791748, dino_loss: 0.734375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7022824287414551, dino_loss: 0.48046875, depth_loss: 0.0628969594836235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7278/10000 [18:54:38<6:15:05,  8.27s/it]
                                                         
{'loss': 1.9799, 'grad_norm': 3.608680009841919, 'learning_rate': 9.462668246308529e-06, 'epoch': 0.07}

 73%|███████▎  | 7278/10000 [18:54:38<6:15:05,  8.27s/it]the number of masks: 8
seg_loss: 0.9992436170578003, dino_loss: 0.6875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9154270887374878, dino_loss: 0.68359375, depth_loss: 0.042860351502895355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7279/10000 [18:54:44<5:48:03,  7.68s/it]
                                                         
{'loss': 2.4079, 'grad_norm': 7.838219165802002, 'learning_rate': 9.456192293495533e-06, 'epoch': 0.07}

 73%|███████▎  | 7279/10000 [18:54:44<5:48:03,  7.68s/it]the number of masks: 8
seg_loss: 0.7184736132621765, dino_loss: 0.59765625, depth_loss: 0.06566259264945984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9286471009254456, dino_loss: 0.71875, depth_loss: 0.05651351064443588, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7280/10000 [18:54:50<5:27:01,  7.21s/it]
                                                         
{'loss': 2.1382, 'grad_norm': 5.000758647918701, 'learning_rate': 9.449718040529987e-06, 'epoch': 0.07}

 73%|███████▎  | 7280/10000 [18:54:50<5:27:01,  7.21s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6488035917282104, dino_loss: 0.66015625, depth_loss: 0.06110551208257675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.374794363975525, dino_loss: 0.63671875, depth_loss: 0.10867875069379807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7281/10000 [18:54:58<5:38:43,  7.47s/it]
                                                         
{'loss': 2.6533, 'grad_norm': 3.944507122039795, 'learning_rate': 9.443245488119886e-06, 'epoch': 0.07}

 73%|███████▎  | 7281/10000 [18:54:58<5:38:43,  7.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8251383900642395, dino_loss: 0.65234375, depth_loss: 0.07113693654537201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7121869325637817, dino_loss: 0.6640625, depth_loss: 0.04800749197602272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7282/10000 [18:55:08<6:05:41,  8.07s/it]
                                                         
{'loss': 2.3328, 'grad_norm': 2.798320770263672, 'learning_rate': 9.43677463697308e-06, 'epoch': 0.07}

 73%|███████▎  | 7282/10000 [18:55:08<6:05:41,  8.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6847757697105408, dino_loss: 0.6015625, depth_loss: 0.03948081657290459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8815943002700806, dino_loss: 0.6484375, depth_loss: 0.05379863083362579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7283/10000 [18:55:18<6:29:42,  8.61s/it]
                                                         
{'loss': 2.2575, 'grad_norm': 7.7662882804870605, 'learning_rate': 9.430305487797191e-06, 'epoch': 0.07}

 73%|███████▎  | 7283/10000 [18:55:18<6:29:42,  8.61s/it]the number of masks: 8
seg_loss: 0.9421473741531372, dino_loss: 0.61328125, depth_loss: 0.08163724839687347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0280359983444214, dino_loss: 0.69140625, depth_loss: 0.05368068441748619, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7284/10000 [18:55:24<6:04:37,  8.06s/it]
                                                         
{'loss': 2.6262, 'grad_norm': 7.706813812255859, 'learning_rate': 9.423838041299694e-06, 'epoch': 0.07}

 73%|███████▎  | 7284/10000 [18:55:24<6:04:37,  8.06s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9019012451171875, dino_loss: 0.69140625, depth_loss: 0.07115881145000458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.05155886709690094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7285/10000 [18:55:30<5:30:23,  7.30s/it]
                                                         
{'loss': 1.9623, 'grad_norm': 1.5342929363250732, 'learning_rate': 9.417372298187833e-06, 'epoch': 0.07}

 73%|███████▎  | 7285/10000 [18:55:30<5:30:23,  7.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8799181580543518, dino_loss: 0.72265625, depth_loss: 0.08862324804067612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7726516723632812, dino_loss: 0.703125, depth_loss: 0.05637875944375992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7286/10000 [18:55:41<6:24:23,  8.50s/it]
                                                         
{'loss': 2.25, 'grad_norm': 4.0396728515625, 'learning_rate': 9.410908259168728e-06, 'epoch': 0.07}

 73%|███████▎  | 7286/10000 [18:55:41<6:24:23,  8.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0135573148727417, dino_loss: 0.69140625, depth_loss: 0.05976451188325882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8107107877731323, dino_loss: 0.671875, depth_loss: 0.06893268972635269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7287/10000 [18:55:50<6:24:12,  8.50s/it]
                                                         
{'loss': 2.6192, 'grad_norm': 4.659127712249756, 'learning_rate': 9.404445924949246e-06, 'epoch': 0.07}

 73%|███████▎  | 7287/10000 [18:55:50<6:24:12,  8.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9355811476707458, dino_loss: 0.6328125, depth_loss: 0.05208270624279976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7270113825798035, dino_loss: 0.65234375, depth_loss: 0.05641718581318855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7288/10000 [18:55:59<6:29:24,  8.62s/it]
                                                         
{'loss': 1.9778, 'grad_norm': 3.149007797241211, 'learning_rate': 9.397985296236122e-06, 'epoch': 0.07}

 73%|███████▎  | 7288/10000 [18:55:59<6:29:24,  8.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.16118586063385, dino_loss: 0.0, depth_loss: 0.0658431127667427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8322486877441406, dino_loss: 0.671875, depth_loss: 0.06750435382127762, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7289/10000 [18:56:05<6:03:13,  8.04s/it]
                                                         
{'loss': 1.7967, 'grad_norm': 5.488766670227051, 'learning_rate': 9.391526373735859e-06, 'epoch': 0.07}

 73%|███████▎  | 7289/10000 [18:56:05<6:03:13,  8.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9444407820701599, dino_loss: 0.71875, depth_loss: 0.04984275996685028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9023115634918213, dino_loss: 0.68359375, depth_loss: 0.09838451445102692, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7290/10000 [18:56:13<5:59:27,  7.96s/it]
                                                         
{'loss': 2.1032, 'grad_norm': 2.7550225257873535, 'learning_rate': 9.385069158154805e-06, 'epoch': 0.07}

 73%|███████▎  | 7290/10000 [18:56:13<5:59:27,  7.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6563009023666382, dino_loss: 0.62109375, depth_loss: 0.05459771305322647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.896468997001648, dino_loss: 0.70703125, depth_loss: 0.04572192579507828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7291/10000 [18:56:23<6:26:08,  8.55s/it]
                                                         
{'loss': 2.0621, 'grad_norm': 2.409804344177246, 'learning_rate': 9.378613650199108e-06, 'epoch': 0.07}

 73%|███████▎  | 7291/10000 [18:56:23<6:26:08,  8.55s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.73162442445755, dino_loss: 0.640625, depth_loss: 0.06150537356734276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9694170951843262, dino_loss: 0.6484375, depth_loss: 0.05572076886892319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7292/10000 [18:56:31<6:13:37,  8.28s/it]
                                                         
{'loss': 2.0106, 'grad_norm': 8.27624797821045, 'learning_rate': 9.372159850574749e-06, 'epoch': 0.07}

 73%|███████▎  | 7292/10000 [18:56:31<6:13:37,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.938894510269165, dino_loss: 0.6484375, depth_loss: 0.07851096987724304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7962689399719238, dino_loss: 0.70703125, depth_loss: 0.0765569657087326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7293/10000 [18:56:38<6:04:13,  8.07s/it]
                                                         
{'loss': 2.0901, 'grad_norm': 3.7074525356292725, 'learning_rate': 9.365707759987483e-06, 'epoch': 0.07}

 73%|███████▎  | 7293/10000 [18:56:38<6:04:13,  8.07s/it]the number of masks: 8
seg_loss: 0.8247751593589783, dino_loss: 0.7109375, depth_loss: 0.0629224106669426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7412329912185669, dino_loss: 0.6796875, depth_loss: 0.057217299938201904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7294/10000 [18:56:46<5:56:06,  7.90s/it]
                                                         
{'loss': 2.3869, 'grad_norm': 2.508488178253174, 'learning_rate': 9.359257379142907e-06, 'epoch': 0.07}

 73%|███████▎  | 7294/10000 [18:56:46<5:56:06,  7.90s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7801164388656616, dino_loss: 0.78125, depth_loss: 0.05942714214324951, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9685178995132446, dino_loss: 0.59375, depth_loss: 0.05358623340725899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7295/10000 [18:56:54<5:57:47,  7.94s/it]
                                                         
{'loss': 2.9055, 'grad_norm': 2.088977098464966, 'learning_rate': 9.352808708746441e-06, 'epoch': 0.07}

 73%|███████▎  | 7295/10000 [18:56:54<5:57:47,  7.94s/it]seg_loss: 0.0, dino_loss: 0.79296875, depth_loss: 0.07570400834083557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8890746235847473, dino_loss: 0.6640625, depth_loss: 0.041298236697912216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7296/10000 [18:56:59<5:28:18,  7.28s/it]
                                                         
{'loss': 1.9019, 'grad_norm': 1.9107598066329956, 'learning_rate': 9.346361749503279e-06, 'epoch': 0.07}

 73%|███████▎  | 7296/10000 [18:56:59<5:28:18,  7.28s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7185356020927429, dino_loss: 0.69140625, depth_loss: 0.0763627290725708, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.869195818901062, dino_loss: 0.65625, depth_loss: 0.06390169262886047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7297/10000 [18:57:08<5:40:46,  7.56s/it]
                                                         
{'loss': 2.3195, 'grad_norm': 3.168135166168213, 'learning_rate': 9.339916502118474e-06, 'epoch': 0.07}

 73%|███████▎  | 7297/10000 [18:57:08<5:40:46,  7.56s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8861477375030518, dino_loss: 0.7265625, depth_loss: 0.04529977962374687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.971790611743927, dino_loss: 0.640625, depth_loss: 0.051001083105802536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7298/10000 [18:57:17<6:10:01,  8.22s/it]
                                                         
{'loss': 2.3124, 'grad_norm': 3.930724620819092, 'learning_rate': 9.333472967296833e-06, 'epoch': 0.07}

 73%|███████▎  | 7298/10000 [18:57:17<6:10:01,  8.22s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0890934467315674, dino_loss: 0.6953125, depth_loss: 0.06257887184619904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.3207571506500244, dino_loss: 0.61328125, depth_loss: 0.05585680529475212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7299/10000 [18:57:26<6:10:21,  8.23s/it]
                                                         
{'loss': 3.0615, 'grad_norm': 10.398477554321289, 'learning_rate': 9.327031145743054e-06, 'epoch': 0.07}

 73%|███████▎  | 7299/10000 [18:57:26<6:10:21,  8.23s/it]the number of masks: 8
seg_loss: 1.1556403636932373, dino_loss: 0.7109375, depth_loss: 0.046888742595911026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0600600242614746, dino_loss: 0.70703125, depth_loss: 0.10440418124198914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7300/10000 [18:57:32<5:43:32,  7.63s/it]
                                                         
{'loss': 2.7527, 'grad_norm': 2.9169795513153076, 'learning_rate': 9.320591038161574e-06, 'epoch': 0.07}

 73%|███████▎  | 7300/10000 [18:57:32<5:43:32,  7.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8369986414909363, dino_loss: 0.66015625, depth_loss: 0.0564909428358078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9706684350967407, dino_loss: 0.703125, depth_loss: 0.0559176430106163, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7301/10000 [18:57:40<5:43:57,  7.65s/it]
                                                         
{'loss': 2.2238, 'grad_norm': 4.60397481918335, 'learning_rate': 9.314152645256696e-06, 'epoch': 0.07}

 73%|███████▎  | 7301/10000 [18:57:40<5:43:57,  7.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9071694612503052, dino_loss: 0.8203125, depth_loss: 0.06979643553495407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 4
seg_loss: 0.3880783021450043, dino_loss: 0.67578125, depth_loss: 0.08040298521518707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7302/10000 [18:57:48<5:50:22,  7.79s/it]
                                                         
{'loss': 2.569, 'grad_norm': 3.9417567253112793, 'learning_rate': 9.307715967732491e-06, 'epoch': 0.07}

 73%|███████▎  | 7302/10000 [18:57:48<5:50:22,  7.79s/it]the number of masks: 8
seg_loss: 0.9781777858734131, dino_loss: 0.65234375, depth_loss: 0.09356582164764404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6690289974212646, dino_loss: 0.75390625, depth_loss: 0.0721394419670105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7303/10000 [18:57:53<5:13:28,  6.97s/it]
                                                         
{'loss': 1.9974, 'grad_norm': 7.791780471801758, 'learning_rate': 9.301281006292884e-06, 'epoch': 0.07}

 73%|███████▎  | 7303/10000 [18:57:53<5:13:28,  6.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8150516748428345, dino_loss: 0.60546875, depth_loss: 0.05632269009947777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8859638571739197, dino_loss: 0.0, depth_loss: 0.05233929678797722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7304/10000 [18:58:02<5:40:10,  7.57s/it]
                                                         
{'loss': 1.6598, 'grad_norm': 4.099035739898682, 'learning_rate': 9.294847761641565e-06, 'epoch': 0.07}

 73%|███████▎  | 7304/10000 [18:58:02<5:40:10,  7.57s/it]the number of masks: 8
seg_loss: 0.619084894657135, dino_loss: 0.71484375, depth_loss: 0.05205444246530533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6400347948074341, dino_loss: 0.60546875, depth_loss: 0.031320005655288696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7305/10000 [18:58:09<5:40:05,  7.57s/it]
                                                         
{'loss': 2.0699, 'grad_norm': 4.481351375579834, 'learning_rate': 9.2884162344821e-06, 'epoch': 0.07}

 73%|███████▎  | 7305/10000 [18:58:09<5:40:05,  7.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7946218252182007, dino_loss: 0.69140625, depth_loss: 0.04979352653026581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9267932176589966, dino_loss: 0.765625, depth_loss: 0.05498933792114258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7306/10000 [18:58:17<5:37:51,  7.52s/it]
                                                         
{'loss': 2.1196, 'grad_norm': 5.6414947509765625, 'learning_rate': 9.281986425517808e-06, 'epoch': 0.07}

 73%|███████▎  | 7306/10000 [18:58:17<5:37:51,  7.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7938060760498047, dino_loss: 0.65625, depth_loss: 0.04422757774591446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8292253613471985, dino_loss: 0.69921875, depth_loss: 0.07058732211589813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7307/10000 [18:58:25<5:44:43,  7.68s/it]
                                                         
{'loss': 2.817, 'grad_norm': 5.538795471191406, 'learning_rate': 9.275558335451854e-06, 'epoch': 0.07}

 73%|███████▎  | 7307/10000 [18:58:25<5:44:43,  7.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8585449457168579, dino_loss: 0.63671875, depth_loss: 0.062340740114450455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9811709523200989, dino_loss: 0.72265625, depth_loss: 0.06321310997009277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7308/10000 [18:58:32<5:34:28,  7.45s/it]
                                                         
{'loss': 2.2685, 'grad_norm': 3.794971466064453, 'learning_rate': 9.26913196498719e-06, 'epoch': 0.07}

 73%|███████▎  | 7308/10000 [18:58:32<5:34:28,  7.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9387965202331543, dino_loss: 0.66015625, depth_loss: 0.06397750973701477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.186288833618164, dino_loss: 0.76953125, depth_loss: 0.041487179696559906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7309/10000 [18:58:39<5:38:02,  7.54s/it]
                                                         
{'loss': 2.7253, 'grad_norm': 5.2715582847595215, 'learning_rate': 9.262707314826616e-06, 'epoch': 0.07}

 73%|███████▎  | 7309/10000 [18:58:39<5:38:02,  7.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6463137269020081, dino_loss: 0.64453125, depth_loss: 0.03428902477025986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7678815722465515, dino_loss: 0.68359375, depth_loss: 0.07055778801441193, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7310/10000 [18:58:49<6:01:10,  8.06s/it]
                                                         
{'loss': 2.0748, 'grad_norm': 3.984691619873047, 'learning_rate': 9.25628438567269e-06, 'epoch': 0.07}

 73%|███████▎  | 7310/10000 [18:58:49<6:01:10,  8.06s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8696430325508118, dino_loss: 0.6953125, depth_loss: 0.05601830780506134, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9566822052001953, dino_loss: 0.7109375, depth_loss: 0.06294287741184235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7311/10000 [18:58:57<6:06:47,  8.18s/it]
                                                         
{'loss': 2.3261, 'grad_norm': 4.0748066902160645, 'learning_rate': 9.24986317822785e-06, 'epoch': 0.07}

 73%|███████▎  | 7311/10000 [18:58:57<6:06:47,  8.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0204262733459473, dino_loss: 0.73828125, depth_loss: 0.07588639110326767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.4544450044631958, dino_loss: 0.640625, depth_loss: 0.04455247521400452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7312/10000 [18:59:07<6:26:20,  8.62s/it]
                                                         
{'loss': 2.4099, 'grad_norm': 2.476614475250244, 'learning_rate': 9.243443693194284e-06, 'epoch': 0.07}

 73%|███████▎  | 7312/10000 [18:59:07<6:26:20,  8.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.807601809501648, dino_loss: 0.6640625, depth_loss: 0.06976627558469772, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7204946875572205, dino_loss: 0.71875, depth_loss: 0.06187325716018677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7313/10000 [18:59:15<6:21:26,  8.52s/it]
                                                         
{'loss': 2.3257, 'grad_norm': 5.111433982849121, 'learning_rate': 9.237025931274035e-06, 'epoch': 0.07}

 73%|███████▎  | 7313/10000 [18:59:15<6:21:26,  8.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.978265643119812, dino_loss: 0.6640625, depth_loss: 0.061793968081474304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9547531008720398, dino_loss: 0.65625, depth_loss: 0.054648011922836304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7314/10000 [18:59:24<6:32:18,  8.76s/it]
                                                         
{'loss': 2.5069, 'grad_norm': 5.63408899307251, 'learning_rate': 9.23060989316892e-06, 'epoch': 0.07}

 73%|███████▎  | 7314/10000 [18:59:24<6:32:18,  8.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9482035636901855, dino_loss: 0.67578125, depth_loss: 0.05812453851103783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8246591091156006, dino_loss: 0.75390625, depth_loss: 0.055544283241033554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7315/10000 [18:59:33<6:27:42,  8.66s/it]
                                                         
{'loss': 2.6033, 'grad_norm': 4.46622896194458, 'learning_rate': 9.224195579580602e-06, 'epoch': 0.07}

 73%|███████▎  | 7315/10000 [18:59:33<6:27:42,  8.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.905734121799469, dino_loss: 0.6640625, depth_loss: 0.05478563904762268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7629789113998413, dino_loss: 0.69921875, depth_loss: 0.05783667787909508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7316/10000 [18:59:41<6:22:35,  8.55s/it]
                                                         
{'loss': 2.4478, 'grad_norm': 4.123610973358154, 'learning_rate': 9.217782991210544e-06, 'epoch': 0.07}

 73%|███████▎  | 7316/10000 [18:59:41<6:22:35,  8.55s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.675940752029419, dino_loss: 0.63671875, depth_loss: 0.06718842685222626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7922804355621338, dino_loss: 0.609375, depth_loss: 0.05351262539625168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7317/10000 [18:59:49<6:13:22,  8.35s/it]
                                                         
{'loss': 2.512, 'grad_norm': 4.71773624420166, 'learning_rate': 9.211372128759994e-06, 'epoch': 0.07}

 73%|███████▎  | 7317/10000 [18:59:49<6:13:22,  8.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8409859538078308, dino_loss: 0.66796875, depth_loss: 0.05418192595243454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9708707332611084, dino_loss: 0.69140625, depth_loss: 0.05136173963546753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7318/10000 [18:59:57<6:10:23,  8.29s/it]
                                                         
{'loss': 2.0774, 'grad_norm': 4.503554821014404, 'learning_rate': 9.204962992930063e-06, 'epoch': 0.07}

 73%|███████▎  | 7318/10000 [18:59:57<6:10:23,  8.29s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9850356578826904, dino_loss: 0.671875, depth_loss: 0.06353822350502014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8248690962791443, dino_loss: 0.7265625, depth_loss: 0.06493125855922699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7319/10000 [19:00:05<6:03:59,  8.15s/it]
                                                         
{'loss': 2.2082, 'grad_norm': 3.2885913848876953, 'learning_rate': 9.198555584421628e-06, 'epoch': 0.07}

 73%|███████▎  | 7319/10000 [19:00:05<6:03:59,  8.15s/it]the number of masks: 8
seg_loss: 1.029891848564148, dino_loss: 0.734375, depth_loss: 0.05197630450129509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8619940876960754, dino_loss: 0.6953125, depth_loss: 0.056757062673568726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7320/10000 [19:00:12<5:46:28,  7.76s/it]
                                                         
{'loss': 2.7109, 'grad_norm': 6.274062156677246, 'learning_rate': 9.192149903935405e-06, 'epoch': 0.07}

 73%|███████▎  | 7320/10000 [19:00:12<5:46:28,  7.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.945288896560669, dino_loss: 0.7265625, depth_loss: 0.0749896764755249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7065057158470154, dino_loss: 0.58984375, depth_loss: 0.04171762987971306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7321/10000 [19:00:21<6:04:14,  8.16s/it]
                                                         
{'loss': 1.7829, 'grad_norm': 3.3591487407684326, 'learning_rate': 9.18574595217189e-06, 'epoch': 0.07}

 73%|███████▎  | 7321/10000 [19:00:21<6:04:14,  8.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8005449771881104, dino_loss: 0.76171875, depth_loss: 0.06619645655155182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.4052519202232361, dino_loss: 0.58203125, depth_loss: 0.042876504361629486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7322/10000 [19:00:29<6:06:34,  8.21s/it]
                                                         
{'loss': 1.8265, 'grad_norm': 3.0910613536834717, 'learning_rate': 9.179343729831432e-06, 'epoch': 0.07}

 73%|███████▎  | 7322/10000 [19:00:29<6:06:34,  8.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7449409365653992, dino_loss: 0.71875, depth_loss: 0.07078045606613159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8155908584594727, dino_loss: 0.703125, depth_loss: 0.04664458706974983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7323/10000 [19:00:39<6:24:02,  8.61s/it]
                                                         
{'loss': 2.4457, 'grad_norm': 3.2280290126800537, 'learning_rate': 9.17294323761414e-06, 'epoch': 0.07}

 73%|███████▎  | 7323/10000 [19:00:39<6:24:02,  8.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.7518534660339355, dino_loss: 0.6953125, depth_loss: 0.047232404351234436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7770891189575195, dino_loss: 0.65625, depth_loss: 0.06241454929113388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7324/10000 [19:00:49<6:47:20,  9.13s/it]
                                                         
{'loss': 2.06, 'grad_norm': 2.3742499351501465, 'learning_rate': 9.166544476219998e-06, 'epoch': 0.07}

 73%|███████▎  | 7324/10000 [19:00:49<6:47:20,  9.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.735954999923706, dino_loss: 0.6796875, depth_loss: 0.05874396488070488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9381949305534363, dino_loss: 0.69140625, depth_loss: 0.0712728351354599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7325/10000 [19:00:57<6:36:29,  8.89s/it]
                                                         
{'loss': 2.0864, 'grad_norm': 5.010075092315674, 'learning_rate': 9.160147446348739e-06, 'epoch': 0.07}

 73%|███████▎  | 7325/10000 [19:00:57<6:36:29,  8.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8316552639007568, dino_loss: 0.68359375, depth_loss: 0.042312752455472946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
seg_loss: 0.6433337926864624, dino_loss: 0.65234375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7326/10000 [19:01:05<6:21:22,  8.56s/it]
                                                         
{'loss': 1.524, 'grad_norm': 4.349125385284424, 'learning_rate': 9.153752148699945e-06, 'epoch': 0.07}

 73%|███████▎  | 7326/10000 [19:01:05<6:21:22,  8.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8302245140075684, dino_loss: 0.68359375, depth_loss: 0.06133326515555382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8976616859436035, dino_loss: 0.6953125, depth_loss: 0.07322447746992111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7327/10000 [19:01:14<6:30:14,  8.76s/it]
                                                         
{'loss': 2.1917, 'grad_norm': 6.02391242980957, 'learning_rate': 9.147358583972988e-06, 'epoch': 0.07}

 73%|███████▎  | 7327/10000 [19:01:14<6:30:14,  8.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8394813537597656, dino_loss: 0.64453125, depth_loss: 0.08129288256168365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.632021963596344, dino_loss: 0.6171875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7328/10000 [19:01:23<6:33:14,  8.83s/it]
                                                         
{'loss': 1.7489, 'grad_norm': 3.8503100872039795, 'learning_rate': 9.140966752867066e-06, 'epoch': 0.07}

 73%|███████▎  | 7328/10000 [19:01:23<6:33:14,  8.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6973128318786621, dino_loss: 0.6796875, depth_loss: 0.0886797234416008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0710176229476929, dino_loss: 0.65625, depth_loss: 0.047870367765426636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7329/10000 [19:01:33<6:46:38,  9.13s/it]
                                                         
{'loss': 1.913, 'grad_norm': 7.512612819671631, 'learning_rate': 9.134576656081162e-06, 'epoch': 0.07}

 73%|███████▎  | 7329/10000 [19:01:33<6:46:38,  9.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9758654832839966, dino_loss: 0.703125, depth_loss: 0.06358915567398071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9538124799728394, dino_loss: 0.671875, depth_loss: 0.07080160081386566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7330/10000 [19:01:42<6:35:51,  8.90s/it]
                                                         
{'loss': 2.2395, 'grad_norm': 5.015100955963135, 'learning_rate': 9.128188294314119e-06, 'epoch': 0.07}

 73%|███████▎  | 7330/10000 [19:01:42<6:35:51,  8.90s/it]seg_loss: 0.0, dino_loss: 0.796875, depth_loss: 0.05479637160897255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6809319853782654, dino_loss: 0.69921875, depth_loss: 0.05403412505984306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7331/10000 [19:01:46<5:38:32,  7.61s/it]
                                                         
{'loss': 2.1125, 'grad_norm': 2.730726957321167, 'learning_rate': 9.121801668264532e-06, 'epoch': 0.07}

 73%|███████▎  | 7331/10000 [19:01:46<5:38:32,  7.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7507956027984619, dino_loss: 0.67578125, depth_loss: 0.08632877469062805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.060445088893175125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7332/10000 [19:01:53<5:26:50,  7.35s/it]
                                                         
{'loss': 1.9181, 'grad_norm': 11.073712348937988, 'learning_rate': 9.11541677863085e-06, 'epoch': 0.07}

 73%|███████▎  | 7332/10000 [19:01:53<5:26:50,  7.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0332449674606323, dino_loss: 0.6796875, depth_loss: 0.053614042699337006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9550393223762512, dino_loss: 0.67578125, depth_loss: 0.051977116614580154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7333/10000 [19:02:00<5:18:52,  7.17s/it]
                                                         
{'loss': 2.2932, 'grad_norm': 4.459782600402832, 'learning_rate': 9.109033626111299e-06, 'epoch': 0.07}

 73%|███████▎  | 7333/10000 [19:02:00<5:18:52,  7.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8228944540023804, dino_loss: 0.65625, depth_loss: 0.045617081224918365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5669189691543579, dino_loss: 0.69921875, depth_loss: 0.052493866533041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7334/10000 [19:02:08<5:29:27,  7.41s/it]
                                                         
{'loss': 2.2784, 'grad_norm': 8.421353340148926, 'learning_rate': 9.102652211403947e-06, 'epoch': 0.07}

 73%|███████▎  | 7334/10000 [19:02:08<5:29:27,  7.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7702720165252686, dino_loss: 0.83203125, depth_loss: 0.09463417530059814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.892073392868042, dino_loss: 0.7265625, depth_loss: 0.05557369440793991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7335/10000 [19:02:16<5:38:08,  7.61s/it]
                                                         
{'loss': 2.164, 'grad_norm': 2.573759078979492, 'learning_rate': 9.096272535206641e-06, 'epoch': 0.07}

 73%|███████▎  | 7335/10000 [19:02:16<5:38:08,  7.61s/it]the number of masks: 8
seg_loss: 0.752226710319519, dino_loss: 0.60546875, depth_loss: 0.05441518872976303, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7486742734909058, dino_loss: 0.671875, depth_loss: 0.0492437407374382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7336/10000 [19:02:24<5:42:32,  7.71s/it]
                                                         
{'loss': 3.0632, 'grad_norm': 3.401441812515259, 'learning_rate': 9.089894598217056e-06, 'epoch': 0.07}

 73%|███████▎  | 7336/10000 [19:02:24<5:42:32,  7.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6747210621833801, dino_loss: 0.498046875, depth_loss: 0.031127771362662315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9046614170074463, dino_loss: 0.66015625, depth_loss: 0.056180354207754135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7337/10000 [19:02:31<5:36:16,  7.58s/it]
                                                         
{'loss': 2.5205, 'grad_norm': 4.467602729797363, 'learning_rate': 9.083518401132679e-06, 'epoch': 0.07}

 73%|███████▎  | 7337/10000 [19:02:31<5:36:16,  7.58s/it]the number of masks: 8
seg_loss: 0.47447699308395386, dino_loss: 0.5078125, depth_loss: 0.051433198153972626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.917082667350769, dino_loss: 0.72265625, depth_loss: 0.09536811709403992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7338/10000 [19:02:38<5:22:20,  7.27s/it]
                                                         
{'loss': 2.2127, 'grad_norm': 4.615909576416016, 'learning_rate': 9.077143944650802e-06, 'epoch': 0.07}

 73%|███████▎  | 7338/10000 [19:02:38<5:22:20,  7.27s/it]the number of masks: 8
seg_loss: 0.834586501121521, dino_loss: 0.7578125, depth_loss: 0.07267414033412933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7633323669433594, dino_loss: 0.61328125, depth_loss: 0.055381111800670624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7339/10000 [19:02:45<5:30:03,  7.44s/it]
                                                         
{'loss': 2.4774, 'grad_norm': 3.132058620452881, 'learning_rate': 9.070771229468527e-06, 'epoch': 0.07}

 73%|███████▎  | 7339/10000 [19:02:45<5:30:03,  7.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8041353225708008, dino_loss: 0.7578125, depth_loss: 0.054331500083208084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9193171262741089, dino_loss: 0.625, depth_loss: 0.06479096412658691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7340/10000 [19:02:54<5:45:16,  7.79s/it]
                                                         
{'loss': 2.0153, 'grad_norm': 4.170368671417236, 'learning_rate': 9.064400256282757e-06, 'epoch': 0.07}

 73%|███████▎  | 7340/10000 [19:02:54<5:45:16,  7.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9466244578361511, dino_loss: 0.62890625, depth_loss: 0.05743585526943207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7451293468475342, dino_loss: 0.6015625, depth_loss: 0.05549003928899765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7341/10000 [19:03:05<6:30:03,  8.80s/it]
                                                         
{'loss': 1.8701, 'grad_norm': 3.75313138961792, 'learning_rate': 9.058031025790222e-06, 'epoch': 0.07}

 73%|███████▎  | 7341/10000 [19:03:05<6:30:03,  8.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0481553077697754, dino_loss: 0.7109375, depth_loss: 0.05943109467625618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8895174264907837, dino_loss: 0.640625, depth_loss: 0.056573327630758286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7342/10000 [19:03:15<6:39:56,  9.03s/it]
                                                         
{'loss': 2.125, 'grad_norm': 6.438293933868408, 'learning_rate': 9.051663538687432e-06, 'epoch': 0.07}

 73%|███████▎  | 7342/10000 [19:03:15<6:39:56,  9.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9077013731002808, dino_loss: 0.6875, depth_loss: 0.06519099324941635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7012902498245239, dino_loss: 0.6796875, depth_loss: 0.059172023087739944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7343/10000 [19:03:24<6:45:20,  9.15s/it]
                                                         
{'loss': 2.3185, 'grad_norm': 5.24947452545166, 'learning_rate': 9.045297795670755e-06, 'epoch': 0.07}

 73%|███████▎  | 7343/10000 [19:03:24<6:45:20,  9.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7925016283988953, dino_loss: 0.62109375, depth_loss: 0.04446171969175339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7934903502464294, dino_loss: 0.70703125, depth_loss: 0.06633289158344269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7344/10000 [19:03:34<6:49:58,  9.26s/it]
                                                         
{'loss': 2.2918, 'grad_norm': 3.769132137298584, 'learning_rate': 9.038933797436313e-06, 'epoch': 0.07}

 73%|███████▎  | 7344/10000 [19:03:34<6:49:58,  9.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8090430498123169, dino_loss: 0.640625, depth_loss: 0.051608312875032425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.43784695863723755, dino_loss: 0.0, depth_loss: 0.050571225583553314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7345/10000 [19:03:41<6:21:16,  8.62s/it]
                                                         
{'loss': 1.4572, 'grad_norm': 4.639226913452148, 'learning_rate': 9.032571544680086e-06, 'epoch': 0.07}

 73%|███████▎  | 7345/10000 [19:03:41<6:21:16,  8.62s/it]seg_loss: 0.0, dino_loss: 0.66015625, depth_loss: 0.06550692766904831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8279967308044434, dino_loss: 0.7421875, depth_loss: 0.04682102054357529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7346/10000 [19:03:46<5:36:19,  7.60s/it]
                                                         
{'loss': 1.8595, 'grad_norm': 5.874194622039795, 'learning_rate': 9.026211038097818e-06, 'epoch': 0.07}

 73%|███████▎  | 7346/10000 [19:03:46<5:36:19,  7.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8277737498283386, dino_loss: 0.67578125, depth_loss: 0.04261510819196701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9711287021636963, dino_loss: 0.70703125, depth_loss: 0.04786323755979538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7347/10000 [19:03:52<5:20:00,  7.24s/it]
                                                         
{'loss': 2.0763, 'grad_norm': 3.943599224090576, 'learning_rate': 9.019852278385102e-06, 'epoch': 0.07}

 73%|███████▎  | 7347/10000 [19:03:52<5:20:00,  7.24s/it]the number of masks: 8
seg_loss: 0.9462659358978271, dino_loss: 0.71875, depth_loss: 0.06420179456472397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7667592763900757, dino_loss: 0.64453125, depth_loss: 0.04940008372068405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7348/10000 [19:04:00<5:26:44,  7.39s/it]
                                                         
{'loss': 2.2874, 'grad_norm': 2.938953161239624, 'learning_rate': 9.013495266237306e-06, 'epoch': 0.07}

 73%|███████▎  | 7348/10000 [19:04:00<5:26:44,  7.39s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.2148387432098389, dino_loss: 0.66796875, depth_loss: 0.05401146039366722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.4081885814666748, dino_loss: 0.494140625, depth_loss: 0.05416088551282883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 73%|███████▎  | 7349/10000 [19:04:08<5:32:18,  7.52s/it]
                                                         
{'loss': 2.225, 'grad_norm': 2.8642239570617676, 'learning_rate': 9.007140002349634e-06, 'epoch': 0.07}

 73%|███████▎  | 7349/10000 [19:04:08<5:32:18,  7.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.79605633020401, dino_loss: 0.6796875, depth_loss: 0.04861219972372055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5204688906669617, dino_loss: 0.65625, depth_loss: 0.050763607025146484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7350/10000 [19:04:16<5:32:13,  7.52s/it]
                                                         
{'loss': 2.0501, 'grad_norm': 3.546508312225342, 'learning_rate': 9.000786487417085e-06, 'epoch': 0.07}

 74%|███████▎  | 7350/10000 [19:04:16<5:32:13,  7.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8235659003257751, dino_loss: 0.6875, depth_loss: 0.03267265856266022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9586319923400879, dino_loss: 0.703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7351/10000 [19:04:24<5:42:27,  7.76s/it]
                                                         
{'loss': 2.1719, 'grad_norm': 3.549710273742676, 'learning_rate': 8.994434722134481e-06, 'epoch': 0.07}

 74%|███████▎  | 7351/10000 [19:04:24<5:42:27,  7.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8963048458099365, dino_loss: 0.6953125, depth_loss: 0.06053663045167923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.792844831943512, dino_loss: 0.7109375, depth_loss: 0.06256647408008575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7352/10000 [19:04:33<5:58:36,  8.13s/it]
                                                         
{'loss': 2.0816, 'grad_norm': 5.0488786697387695, 'learning_rate': 8.988084707196423e-06, 'epoch': 0.07}

 74%|███████▎  | 7352/10000 [19:04:33<5:58:36,  8.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.897680938243866, dino_loss: 0.66015625, depth_loss: 0.07209083437919617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6638076305389404, dino_loss: 0.65625, depth_loss: 0.06043087691068649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7353/10000 [19:04:40<5:46:06,  7.85s/it]
                                                         
{'loss': 2.0743, 'grad_norm': 5.749508857727051, 'learning_rate': 8.981736443297357e-06, 'epoch': 0.07}

 74%|███████▎  | 7353/10000 [19:04:40<5:46:06,  7.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8018807172775269, dino_loss: 0.6875, depth_loss: 0.05685688555240631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8664075136184692, dino_loss: 0.671875, depth_loss: 0.06818397343158722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7354/10000 [19:04:51<6:21:23,  8.65s/it]
                                                         
{'loss': 2.4653, 'grad_norm': 7.85929536819458, 'learning_rate': 8.9753899311315e-06, 'epoch': 0.07}

 74%|███████▎  | 7354/10000 [19:04:51<6:21:23,  8.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9344770312309265, dino_loss: 0.64453125, depth_loss: 0.07004004716873169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9392145276069641, dino_loss: 0.671875, depth_loss: 0.061026860028505325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7355/10000 [19:04:58<6:12:03,  8.44s/it]
                                                         
{'loss': 2.2114, 'grad_norm': 3.375251293182373, 'learning_rate': 8.969045171392909e-06, 'epoch': 0.07}

 74%|███████▎  | 7355/10000 [19:04:58<6:12:03,  8.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7280704975128174, dino_loss: 0.68359375, depth_loss: 0.059482209384441376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6307265758514404, dino_loss: 0.7421875, depth_loss: 0.06468652933835983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7356/10000 [19:05:06<6:02:02,  8.22s/it]
                                                         
{'loss': 1.7417, 'grad_norm': 4.897301197052002, 'learning_rate': 8.962702164775435e-06, 'epoch': 0.07}

 74%|███████▎  | 7356/10000 [19:05:06<6:02:02,  8.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.771490216255188, dino_loss: 0.609375, depth_loss: 0.033152610063552856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7523666620254517, dino_loss: 0.671875, depth_loss: 0.036531779915094376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7357/10000 [19:05:16<6:27:36,  8.80s/it]
                                                         
{'loss': 2.1086, 'grad_norm': 3.386094331741333, 'learning_rate': 8.956360911972753e-06, 'epoch': 0.07}

 74%|███████▎  | 7357/10000 [19:05:16<6:27:36,  8.80s/it]the number of masks: 8
seg_loss: 0.9903295040130615, dino_loss: 0.75, depth_loss: 0.05691046640276909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8019796013832092, dino_loss: 0.75, depth_loss: 0.07041002810001373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7358/10000 [19:05:22<5:46:24,  7.87s/it]
                                                         
{'loss': 2.37, 'grad_norm': 5.012304306030273, 'learning_rate': 8.950021413678306e-06, 'epoch': 0.07}

 74%|███████▎  | 7358/10000 [19:05:22<5:46:24,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7657755017280579, dino_loss: 0.69140625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.6073005199432373, dino_loss: 0.55859375, depth_loss: 0.04588720574975014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7359/10000 [19:05:31<5:59:57,  8.18s/it]
                                                         
{'loss': 2.0499, 'grad_norm': 2.7877514362335205, 'learning_rate': 8.94368367058539e-06, 'epoch': 0.07}

 74%|███████▎  | 7359/10000 [19:05:31<5:59:57,  8.18s/it]the number of masks: 8
seg_loss: 0.951942503452301, dino_loss: 0.62890625, depth_loss: 0.054373692721128464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7120674848556519, dino_loss: 0.6953125, depth_loss: 0.05359116196632385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7360/10000 [19:05:37<5:32:53,  7.57s/it]
                                                         
{'loss': 1.6116, 'grad_norm': 3.0804131031036377, 'learning_rate': 8.937347683387095e-06, 'epoch': 0.07}

 74%|███████▎  | 7360/10000 [19:05:37<5:32:53,  7.57s/it]the number of masks: 8
seg_loss: 0.7258868217468262, dino_loss: 0.71875, depth_loss: 0.06614074110984802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9136677980422974, dino_loss: 0.6953125, depth_loss: 0.058300502598285675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7361/10000 [19:05:43<5:05:54,  6.95s/it]
                                                         
{'loss': 2.2866, 'grad_norm': 8.18575382232666, 'learning_rate': 8.931013452776299e-06, 'epoch': 0.07}

 74%|███████▎  | 7361/10000 [19:05:43<5:05:54,  6.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8580262660980225, dino_loss: 0.68359375, depth_loss: 0.04737507924437523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9226533770561218, dino_loss: 0.69921875, depth_loss: 0.05279648303985596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7362/10000 [19:05:51<5:29:19,  7.49s/it]
                                                         
{'loss': 2.6607, 'grad_norm': 3.7890126705169678, 'learning_rate': 8.924680979445713e-06, 'epoch': 0.07}

 74%|███████▎  | 7362/10000 [19:05:51<5:29:19,  7.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9106950163841248, dino_loss: 0.63671875, depth_loss: 0.04450969398021698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8458832502365112, dino_loss: 0.64453125, depth_loss: 0.06525187194347382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7363/10000 [19:05:59<5:35:39,  7.64s/it]
                                                         
{'loss': 2.1867, 'grad_norm': 3.893126964569092, 'learning_rate': 8.918350264087847e-06, 'epoch': 0.07}

 74%|███████▎  | 7363/10000 [19:05:59<5:35:39,  7.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.014460802078247, dino_loss: 0.73828125, depth_loss: 0.0651131421327591, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8329269886016846, dino_loss: 0.7265625, depth_loss: 0.05950305983424187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7364/10000 [19:06:07<5:40:52,  7.76s/it]
                                                         
{'loss': 2.0553, 'grad_norm': 4.359896659851074, 'learning_rate': 8.912021307395024e-06, 'epoch': 0.07}

 74%|███████▎  | 7364/10000 [19:06:07<5:40:52,  7.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7669633626937866, dino_loss: 0.6640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7282772064208984, dino_loss: 0.67578125, depth_loss: 0.08746201545000076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7365/10000 [19:06:15<5:35:15,  7.63s/it]
                                                         
{'loss': 2.5321, 'grad_norm': 5.575320720672607, 'learning_rate': 8.905694110059353e-06, 'epoch': 0.07}

 74%|███████▎  | 7365/10000 [19:06:15<5:35:15,  7.63s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6337375044822693, dino_loss: 0.62109375, depth_loss: 0.040794141590595245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8944435715675354, dino_loss: 0.671875, depth_loss: 0.06126962974667549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7366/10000 [19:06:24<5:58:09,  8.16s/it]
                                                         
{'loss': 1.827, 'grad_norm': 7.065465450286865, 'learning_rate': 8.89936867277279e-06, 'epoch': 0.07}

 74%|███████▎  | 7366/10000 [19:06:24<5:58:09,  8.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9254619479179382, dino_loss: 0.62890625, depth_loss: 0.04251362010836601, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8616968989372253, dino_loss: 0.71875, depth_loss: 0.06704920530319214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7367/10000 [19:06:31<5:43:09,  7.82s/it]
                                                         
{'loss': 2.2424, 'grad_norm': 1.8376741409301758, 'learning_rate': 8.893044996227052e-06, 'epoch': 0.07}

 74%|███████▎  | 7367/10000 [19:06:31<5:43:09,  7.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9019278287887573, dino_loss: 0.7109375, depth_loss: 0.05335874855518341, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.813045859336853, dino_loss: 0.65234375, depth_loss: 0.052165158092975616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7368/10000 [19:06:40<5:50:41,  7.99s/it]
                                                         
{'loss': 2.3679, 'grad_norm': 5.006119728088379, 'learning_rate': 8.886723081113693e-06, 'epoch': 0.07}

 74%|███████▎  | 7368/10000 [19:06:40<5:50:41,  7.99s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8161556720733643, dino_loss: 0.6484375, depth_loss: 0.04778552055358887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7235532999038696, dino_loss: 0.68359375, depth_loss: 0.05713711678981781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7369/10000 [19:06:46<5:36:07,  7.67s/it]
                                                         
{'loss': 2.16, 'grad_norm': 3.3850107192993164, 'learning_rate': 8.880402928124076e-06, 'epoch': 0.07}

 74%|███████▎  | 7369/10000 [19:06:46<5:36:07,  7.67s/it]seg_loss: 0.0, dino_loss: 0.7109375, depth_loss: 0.06212235614657402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8262462019920349, dino_loss: 0.6953125, depth_loss: 0.06649570167064667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7370/10000 [19:06:54<5:39:48,  7.75s/it]
                                                         
{'loss': 2.3835, 'grad_norm': 2.163510799407959, 'learning_rate': 8.874084537949364e-06, 'epoch': 0.07}

 74%|███████▎  | 7370/10000 [19:06:54<5:39:48,  7.75s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8648931980133057, dino_loss: 0.69921875, depth_loss: 0.08578331023454666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.844253420829773, dino_loss: 0.6875, depth_loss: 0.05770014971494675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7371/10000 [19:07:03<5:47:31,  7.93s/it]
                                                         
{'loss': 2.386, 'grad_norm': 3.326643705368042, 'learning_rate': 8.867767911280516e-06, 'epoch': 0.07}

 74%|███████▎  | 7371/10000 [19:07:03<5:47:31,  7.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.932018518447876, dino_loss: 0.66015625, depth_loss: 0.0437094084918499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8221944570541382, dino_loss: 0.66015625, depth_loss: 0.060033343732357025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7372/10000 [19:07:11<5:47:22,  7.93s/it]
                                                         
{'loss': 1.6514, 'grad_norm': 4.3221659660339355, 'learning_rate': 8.861453048808325e-06, 'epoch': 0.07}

 74%|███████▎  | 7372/10000 [19:07:11<5:47:22,  7.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.698163628578186, dino_loss: 0.71484375, depth_loss: 0.0657932385802269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5220925807952881, dino_loss: 0.55078125, depth_loss: 0.029219279065728188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7373/10000 [19:07:18<5:43:39,  7.85s/it]
                                                         
{'loss': 2.0672, 'grad_norm': 4.516854763031006, 'learning_rate': 8.855139951223354e-06, 'epoch': 0.07}

 74%|███████▎  | 7373/10000 [19:07:18<5:43:39,  7.85s/it]the number of masks: 8
seg_loss: 0.6656033992767334, dino_loss: 0.7109375, depth_loss: 0.06764326244592667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5559845566749573, dino_loss: 0.71484375, depth_loss: 0.03956228494644165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▎  | 7374/10000 [19:07:25<5:25:59,  7.45s/it]
                                                         
{'loss': 1.742, 'grad_norm': 4.9007768630981445, 'learning_rate': 8.848828619216007e-06, 'epoch': 0.07}

 74%|███████▎  | 7374/10000 [19:07:25<5:25:59,  7.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9657379388809204, dino_loss: 0.65234375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.863644003868103, dino_loss: 0.8203125, depth_loss: 0.06672865152359009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7375/10000 [19:07:33<5:37:57,  7.72s/it]
                                                         
{'loss': 2.6321, 'grad_norm': 3.5007436275482178, 'learning_rate': 8.842519053476476e-06, 'epoch': 0.07}

 74%|███████▍  | 7375/10000 [19:07:33<5:37:57,  7.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5962691307067871, dino_loss: 0.60546875, depth_loss: 0.057169388979673386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0121666193008423, dino_loss: 0.6875, depth_loss: 0.05342283099889755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7376/10000 [19:07:41<5:35:49,  7.68s/it]
                                                         
{'loss': 1.8844, 'grad_norm': 3.9270267486572266, 'learning_rate': 8.83621125469478e-06, 'epoch': 0.07}

 74%|███████▍  | 7376/10000 [19:07:41<5:35:49,  7.68s/it]the number of masks: 8
seg_loss: 0.8382931351661682, dino_loss: 0.66796875, depth_loss: 0.06575149297714233, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6182055473327637, dino_loss: 0.5546875, depth_loss: 0.03588194400072098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7377/10000 [19:07:48<5:34:48,  7.66s/it]
                                                         
{'loss': 1.8786, 'grad_norm': 3.7022454738616943, 'learning_rate': 8.829905223560708e-06, 'epoch': 0.07}

 74%|███████▍  | 7377/10000 [19:07:48<5:34:48,  7.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6303991079330444, dino_loss: 0.6328125, depth_loss: 0.05190081149339676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8409453630447388, dino_loss: 0.63671875, depth_loss: 0.05114829167723656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7378/10000 [19:07:58<5:59:10,  8.22s/it]
                                                         
{'loss': 2.0381, 'grad_norm': 3.130645751953125, 'learning_rate': 8.8236009607639e-06, 'epoch': 0.07}

 74%|███████▍  | 7378/10000 [19:07:58<5:59:10,  8.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9921470880508423, dino_loss: 0.71484375, depth_loss: 0.062419187277555466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7673307657241821, dino_loss: 0.71875, depth_loss: 0.04457622393965721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7379/10000 [19:08:09<6:40:51,  9.18s/it]
                                                         
{'loss': 2.3515, 'grad_norm': 2.257274627685547, 'learning_rate': 8.817298466993759e-06, 'epoch': 0.07}

 74%|███████▍  | 7379/10000 [19:08:09<6:40:51,  9.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0478179454803467, dino_loss: 0.7109375, depth_loss: 0.05607515573501587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8645703792572021, dino_loss: 0.65625, depth_loss: 0.05043863505125046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7380/10000 [19:08:19<6:49:17,  9.37s/it]
                                                         
{'loss': 2.6675, 'grad_norm': 5.592156887054443, 'learning_rate': 8.810997742939531e-06, 'epoch': 0.07}

 74%|███████▍  | 7380/10000 [19:08:19<6:49:17,  9.37s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6831930875778198, dino_loss: 0.66015625, depth_loss: 0.06908117234706879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7330460548400879, dino_loss: 0.671875, depth_loss: 0.04069500416517258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7381/10000 [19:08:28<6:37:10,  9.10s/it]
                                                         
{'loss': 1.7676, 'grad_norm': 3.371018409729004, 'learning_rate': 8.804698789290247e-06, 'epoch': 0.07}

 74%|███████▍  | 7381/10000 [19:08:28<6:37:10,  9.10s/it]the number of masks: 8
seg_loss: 0.8764856457710266, dino_loss: 0.6484375, depth_loss: 0.06522982567548752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9612452983856201, dino_loss: 0.66015625, depth_loss: 0.054193999618291855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7382/10000 [19:08:36<6:28:54,  8.91s/it]
                                                         
{'loss': 2.4241, 'grad_norm': 3.2780957221984863, 'learning_rate': 8.798401606734763e-06, 'epoch': 0.07}

 74%|███████▍  | 7382/10000 [19:08:36<6:28:54,  8.91s/it]the number of masks: 8
seg_loss: 0.8589469194412231, dino_loss: 0.703125, depth_loss: 0.08296382427215576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.2350460290908813, dino_loss: 0.6875, depth_loss: 0.05573060363531113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7383/10000 [19:08:42<5:53:59,  8.12s/it]
                                                         
{'loss': 2.3236, 'grad_norm': 8.353578567504883, 'learning_rate': 8.792106195961714e-06, 'epoch': 0.07}

 74%|███████▍  | 7383/10000 [19:08:42<5:53:59,  8.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9481306076049805, dino_loss: 0.65234375, depth_loss: 0.07336452603340149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8207699656486511, dino_loss: 0.671875, depth_loss: 0.051652684807777405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7384/10000 [19:08:51<6:05:04,  8.37s/it]
                                                         
{'loss': 2.2128, 'grad_norm': 2.475710391998291, 'learning_rate': 8.785812557659561e-06, 'epoch': 0.07}

 74%|███████▍  | 7384/10000 [19:08:51<6:05:04,  8.37s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7937299013137817, dino_loss: 0.66796875, depth_loss: 0.06032416224479675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9127561450004578, dino_loss: 0.73828125, depth_loss: 0.057789191603660583, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7385/10000 [19:08:59<6:02:24,  8.32s/it]
                                                         
{'loss': 2.1318, 'grad_norm': 3.54091739654541, 'learning_rate': 8.77952069251658e-06, 'epoch': 0.07}

 74%|███████▍  | 7385/10000 [19:08:59<6:02:24,  8.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7873427271842957, dino_loss: 0.66796875, depth_loss: 0.03813430294394493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8797876238822937, dino_loss: 0.73046875, depth_loss: 0.06202658265829086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7386/10000 [19:09:10<6:27:32,  8.90s/it]
                                                         
{'loss': 2.2694, 'grad_norm': 8.388984680175781, 'learning_rate': 8.77323060122082e-06, 'epoch': 0.07}

 74%|███████▍  | 7386/10000 [19:09:10<6:27:32,  8.90s/it]the number of masks: 8
seg_loss: 0.7283495664596558, dino_loss: 0.6328125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.029166579246521, dino_loss: 0.6796875, depth_loss: 0.052667032927274704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7387/10000 [19:09:18<6:12:43,  8.56s/it]
                                                         
{'loss': 2.6522, 'grad_norm': 8.148481369018555, 'learning_rate': 8.766942284460161e-06, 'epoch': 0.07}

 74%|███████▍  | 7387/10000 [19:09:18<6:12:43,  8.56s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8223562240600586, dino_loss: 0.6171875, depth_loss: 0.09608163684606552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8599423170089722, dino_loss: 0.71875, depth_loss: 0.05392107367515564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7388/10000 [19:09:25<6:02:43,  8.33s/it]
                                                         
{'loss': 1.6587, 'grad_norm': 6.530880451202393, 'learning_rate': 8.76065574292229e-06, 'epoch': 0.07}

 74%|███████▍  | 7388/10000 [19:09:25<6:02:43,  8.33s/it]the number of masks: 8
seg_loss: 0.7807486653327942, dino_loss: 0.73046875, depth_loss: 0.06639958173036575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.889467716217041, dino_loss: 0.6796875, depth_loss: 0.05716802924871445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7389/10000 [19:09:31<5:30:59,  7.61s/it]
                                                         
{'loss': 2.2323, 'grad_norm': 8.394967079162598, 'learning_rate': 8.754370977294702e-06, 'epoch': 0.07}

 74%|███████▍  | 7389/10000 [19:09:31<5:30:59,  7.61s/it]the number of masks: 8
seg_loss: 0.7598153352737427, dino_loss: 0.6796875, depth_loss: 0.06661476194858551, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8030976057052612, dino_loss: 0.6953125, depth_loss: 0.053213730454444885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7390/10000 [19:09:37<5:02:45,  6.96s/it]
                                                         
{'loss': 1.913, 'grad_norm': 3.0811240673065186, 'learning_rate': 8.74808798826467e-06, 'epoch': 0.07}

 74%|███████▍  | 7390/10000 [19:09:37<5:02:45,  6.96s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.860438883304596, dino_loss: 0.68359375, depth_loss: 0.05058722198009491, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8274033069610596, dino_loss: 0.640625, depth_loss: 0.06282635033130646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7391/10000 [19:09:46<5:39:11,  7.80s/it]
                                                         
{'loss': 2.3178, 'grad_norm': 4.332529544830322, 'learning_rate': 8.741806776519309e-06, 'epoch': 0.07}

 74%|███████▍  | 7391/10000 [19:09:46<5:39:11,  7.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9857393503189087, dino_loss: 0.6953125, depth_loss: 0.06183026358485222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8993224501609802, dino_loss: 0.7265625, depth_loss: 0.08789350092411041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7392/10000 [19:09:56<5:56:35,  8.20s/it]
                                                         
{'loss': 2.2935, 'grad_norm': 4.01012659072876, 'learning_rate': 8.735527342745506e-06, 'epoch': 0.07}

 74%|███████▍  | 7392/10000 [19:09:56<5:56:35,  8.20s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9005275368690491, dino_loss: 0.70703125, depth_loss: 0.09587319195270538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592209815979004, dino_loss: 0.66015625, depth_loss: 0.057704854756593704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7393/10000 [19:10:04<5:54:00,  8.15s/it]
                                                         
{'loss': 2.5777, 'grad_norm': 3.4929630756378174, 'learning_rate': 8.729249687629978e-06, 'epoch': 0.07}

 74%|███████▍  | 7393/10000 [19:10:04<5:54:00,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8151842951774597, dino_loss: 0.63671875, depth_loss: 0.07444480061531067, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8862363696098328, dino_loss: 0.7109375, depth_loss: 0.0619102418422699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7394/10000 [19:10:12<6:01:47,  8.33s/it]
                                                         
{'loss': 2.4818, 'grad_norm': 6.232064723968506, 'learning_rate': 8.722973811859244e-06, 'epoch': 0.07}

 74%|███████▍  | 7394/10000 [19:10:12<6:01:47,  8.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9202268719673157, dino_loss: 0.65625, depth_loss: 0.05943386256694794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7721977233886719, dino_loss: 0.69921875, depth_loss: 0.06756766885519028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7395/10000 [19:10:21<6:03:48,  8.38s/it]
                                                         
{'loss': 1.8567, 'grad_norm': 4.976611137390137, 'learning_rate': 8.71669971611963e-06, 'epoch': 0.07}

 74%|███████▍  | 7395/10000 [19:10:21<6:03:48,  8.38s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.06947935372591019, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7495964765548706, dino_loss: 0.6796875, depth_loss: 0.052119314670562744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7396/10000 [19:10:26<5:27:43,  7.55s/it]
                                                         
{'loss': 1.3968, 'grad_norm': 4.145784378051758, 'learning_rate': 8.710427401097246e-06, 'epoch': 0.07}

 74%|███████▍  | 7396/10000 [19:10:26<5:27:43,  7.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8766771554946899, dino_loss: 0.65625, depth_loss: 0.0412447527050972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8605678081512451, dino_loss: 0.59765625, depth_loss: 0.028803786262869835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7397/10000 [19:10:37<6:01:32,  8.33s/it]
                                                         
{'loss': 1.9628, 'grad_norm': 5.894073009490967, 'learning_rate': 8.704156867478036e-06, 'epoch': 0.07}

 74%|███████▍  | 7397/10000 [19:10:37<6:01:32,  8.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7697094678878784, dino_loss: 0.609375, depth_loss: 0.03991829603910446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7334206104278564, dino_loss: 0.73828125, depth_loss: 0.0714770182967186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7398/10000 [19:10:45<5:57:03,  8.23s/it]
                                                         
{'loss': 1.7707, 'grad_norm': 4.627059459686279, 'learning_rate': 8.697888115947725e-06, 'epoch': 0.07}

 74%|███████▍  | 7398/10000 [19:10:45<5:57:03,  8.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9372439384460449, dino_loss: 0.69140625, depth_loss: 0.043195679783821106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7576634287834167, dino_loss: 0.609375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7399/10000 [19:10:53<5:58:45,  8.28s/it]
                                                         
{'loss': 2.2984, 'grad_norm': 7.531310081481934, 'learning_rate': 8.691621147191859e-06, 'epoch': 0.07}

 74%|███████▍  | 7399/10000 [19:10:53<5:58:45,  8.28s/it]the number of masks: 8
seg_loss: 0.5841983556747437, dino_loss: 0.6328125, depth_loss: 0.05246662348508835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.008094310760498, dino_loss: 0.66796875, depth_loss: 0.062248293310403824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7400/10000 [19:10:59<5:25:36,  7.51s/it]
                                                         
{'loss': 2.0509, 'grad_norm': 4.32791805267334, 'learning_rate': 8.685355961895784e-06, 'epoch': 0.07}

 74%|███████▍  | 7400/10000 [19:10:59<5:25:36,  7.51s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9398849010467529, dino_loss: 0.70703125, depth_loss: 0.07610489428043365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6572371125221252, dino_loss: 0.65234375, depth_loss: 0.06774173676967621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7401/10000 [19:11:06<5:24:43,  7.50s/it]
                                                         
{'loss': 2.419, 'grad_norm': 4.341854572296143, 'learning_rate': 8.679092560744662e-06, 'epoch': 0.07}

 74%|███████▍  | 7401/10000 [19:11:06<5:24:43,  7.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6515024304389954, dino_loss: 0.70703125, depth_loss: 0.05692249909043312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6875184774398804, dino_loss: 0.6484375, depth_loss: 0.0480218306183815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7402/10000 [19:11:16<5:58:29,  8.28s/it]
                                                         
{'loss': 1.9935, 'grad_norm': 8.153016090393066, 'learning_rate': 8.67283094442343e-06, 'epoch': 0.07}

 74%|███████▍  | 7402/10000 [19:11:16<5:58:29,  8.28s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.901809573173523, dino_loss: 0.65234375, depth_loss: 0.032515645027160645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8303453326225281, dino_loss: 0.6953125, depth_loss: 0.07936438918113708, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7403/10000 [19:11:25<6:04:16,  8.42s/it]
                                                         
{'loss': 2.4332, 'grad_norm': 4.513627529144287, 'learning_rate': 8.666571113616864e-06, 'epoch': 0.07}

 74%|███████▍  | 7403/10000 [19:11:25<6:04:16,  8.42s/it]the number of masks: 8
seg_loss: 0.8540489673614502, dino_loss: 0.64453125, depth_loss: 0.06088836491107941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.989961564540863, dino_loss: 0.71484375, depth_loss: 0.0867297500371933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7404/10000 [19:11:32<5:46:57,  8.02s/it]
                                                         
{'loss': 2.485, 'grad_norm': 8.03856372833252, 'learning_rate': 8.66031306900952e-06, 'epoch': 0.07}

 74%|███████▍  | 7404/10000 [19:11:32<5:46:57,  8.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1162712574005127, dino_loss: 0.69921875, depth_loss: 0.06782271713018417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6005877256393433, dino_loss: 0.5625, depth_loss: 0.03472311794757843, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7405/10000 [19:11:41<6:03:03,  8.39s/it]
                                                         
{'loss': 2.7814, 'grad_norm': 2.7830097675323486, 'learning_rate': 8.654056811285772e-06, 'epoch': 0.07}

 74%|███████▍  | 7405/10000 [19:11:41<6:03:03,  8.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6670376062393188, dino_loss: 0.73828125, depth_loss: 0.08425736427307129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8376281261444092, dino_loss: 0.75, depth_loss: 0.06143670529127121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7406/10000 [19:11:49<5:51:43,  8.14s/it]
                                                         
{'loss': 2.2208, 'grad_norm': 6.2588276863098145, 'learning_rate': 8.647802341129793e-06, 'epoch': 0.07}

 74%|███████▍  | 7406/10000 [19:11:49<5:51:43,  8.14s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7612745761871338, dino_loss: 0.68359375, depth_loss: 0.0573095940053463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5526111125946045, dino_loss: 0.64453125, depth_loss: 0.03980881720781326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7407/10000 [19:11:57<5:53:26,  8.18s/it]
                                                         
{'loss': 2.029, 'grad_norm': 2.4733469486236572, 'learning_rate': 8.641549659225576e-06, 'epoch': 0.07}

 74%|███████▍  | 7407/10000 [19:11:57<5:53:26,  8.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7676117420196533, dino_loss: 0.66796875, depth_loss: 0.07972972095012665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7880452871322632, dino_loss: 0.703125, depth_loss: 0.07664631307125092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7408/10000 [19:12:07<6:13:21,  8.64s/it]
                                                         
{'loss': 2.5164, 'grad_norm': 3.705824136734009, 'learning_rate': 8.635298766256883e-06, 'epoch': 0.07}

 74%|███████▍  | 7408/10000 [19:12:07<6:13:21,  8.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9557539820671082, dino_loss: 0.703125, depth_loss: 0.06271465122699738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7271146774291992, dino_loss: 0.72265625, depth_loss: 0.06333471089601517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7409/10000 [19:12:16<6:12:23,  8.62s/it]
                                                         
{'loss': 2.462, 'grad_norm': 8.53905963897705, 'learning_rate': 8.629049662907316e-06, 'epoch': 0.07}

 74%|███████▍  | 7409/10000 [19:12:16<6:12:23,  8.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7982189059257507, dino_loss: 0.625, depth_loss: 0.05009036883711815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8543707728385925, dino_loss: 0.69921875, depth_loss: 0.055987704545259476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7410/10000 [19:12:26<6:31:34,  9.07s/it]
                                                         
{'loss': 1.796, 'grad_norm': 3.38769268989563, 'learning_rate': 8.622802349860268e-06, 'epoch': 0.07}

 74%|███████▍  | 7410/10000 [19:12:26<6:31:34,  9.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8033492565155029, dino_loss: 0.62890625, depth_loss: 0.04638495296239853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8653228282928467, dino_loss: 0.66796875, depth_loss: 0.06289248168468475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7411/10000 [19:12:32<6:01:15,  8.37s/it]
                                                         
{'loss': 2.1326, 'grad_norm': 2.8321187496185303, 'learning_rate': 8.616556827798927e-06, 'epoch': 0.07}

 74%|███████▍  | 7411/10000 [19:12:32<6:01:15,  8.37s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8767184019088745, dino_loss: 0.71484375, depth_loss: 0.07636803388595581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8195245265960693, dino_loss: 0.76171875, depth_loss: 0.12868604063987732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7412/10000 [19:12:40<5:51:43,  8.15s/it]
                                                         
{'loss': 2.2583, 'grad_norm': 2.8645734786987305, 'learning_rate': 8.6103130974063e-06, 'epoch': 0.07}

 74%|███████▍  | 7412/10000 [19:12:40<5:51:43,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.873971700668335, dino_loss: 0.7890625, depth_loss: 0.059171319007873535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7801927328109741, dino_loss: 0.69921875, depth_loss: 0.04173615202307701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7413/10000 [19:12:49<5:56:39,  8.27s/it]
                                                         
{'loss': 2.5486, 'grad_norm': 9.52087116241455, 'learning_rate': 8.60407115936519e-06, 'epoch': 0.07}

 74%|███████▍  | 7413/10000 [19:12:49<5:56:39,  8.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9569941759109497, dino_loss: 0.671875, depth_loss: 0.07773395627737045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7255469560623169, dino_loss: 0.5234375, depth_loss: 0.06543175876140594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7414/10000 [19:12:58<6:10:26,  8.59s/it]
                                                         
{'loss': 2.1588, 'grad_norm': 4.633691787719727, 'learning_rate': 8.597831014358215e-06, 'epoch': 0.07}

 74%|███████▍  | 7414/10000 [19:12:58<6:10:26,  8.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9646205902099609, dino_loss: 0.68359375, depth_loss: 0.07117173820734024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0626713037490845, dino_loss: 0.68359375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7415/10000 [19:13:05<5:50:21,  8.13s/it]
                                                         
{'loss': 2.553, 'grad_norm': 7.940402984619141, 'learning_rate': 8.591592663067771e-06, 'epoch': 0.07}

 74%|███████▍  | 7415/10000 [19:13:05<5:50:21,  8.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.937073826789856, dino_loss: 0.6796875, depth_loss: 0.0631600022315979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.808524489402771, dino_loss: 0.69921875, depth_loss: 0.05968872457742691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7416/10000 [19:13:14<6:02:30,  8.42s/it]
                                                         
{'loss': 2.2828, 'grad_norm': 4.504307746887207, 'learning_rate': 8.585356106176094e-06, 'epoch': 0.07}

 74%|███████▍  | 7416/10000 [19:13:14<6:02:30,  8.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7722936868667603, dino_loss: 0.73046875, depth_loss: 0.06478717923164368, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7412141561508179, dino_loss: 0.625, depth_loss: 0.050095029175281525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7417/10000 [19:13:24<6:16:20,  8.74s/it]
                                                         
{'loss': 2.0979, 'grad_norm': 2.491464138031006, 'learning_rate': 8.579121344365185e-06, 'epoch': 0.07}

 74%|███████▍  | 7417/10000 [19:13:24<6:16:20,  8.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9063889980316162, dino_loss: 0.640625, depth_loss: 0.05297158658504486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9642212390899658, dino_loss: 0.66015625, depth_loss: 0.05610225722193718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7418/10000 [19:13:35<6:45:04,  9.41s/it]
                                                         
{'loss': 2.4876, 'grad_norm': 2.891463279724121, 'learning_rate': 8.572888378316884e-06, 'epoch': 0.07}

 74%|███████▍  | 7418/10000 [19:13:35<6:45:04,  9.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9257135987281799, dino_loss: 0.7109375, depth_loss: 0.06598058342933655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9656605124473572, dino_loss: 0.57421875, depth_loss: 0.042814552783966064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7419/10000 [19:13:42<6:15:47,  8.74s/it]
                                                         
{'loss': 2.3156, 'grad_norm': 2.7288999557495117, 'learning_rate': 8.566657208712797e-06, 'epoch': 0.07}

 74%|███████▍  | 7419/10000 [19:13:42<6:15:47,  8.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6911762952804565, dino_loss: 0.6875, depth_loss: 0.056133728474378586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0085020065307617, dino_loss: 0.58203125, depth_loss: 0.04585698992013931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7420/10000 [19:13:51<6:28:05,  9.03s/it]
                                                         
{'loss': 2.3508, 'grad_norm': 3.3602170944213867, 'learning_rate': 8.56042783623439e-06, 'epoch': 0.07}

 74%|███████▍  | 7420/10000 [19:13:51<6:28:05,  9.03s/it]the number of masks: 8
seg_loss: 1.02396821975708, dino_loss: 0.60546875, depth_loss: 0.04652212932705879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8605824708938599, dino_loss: 0.6796875, depth_loss: 0.0638808161020279, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7421/10000 [19:13:58<5:59:19,  8.36s/it]
                                                         
{'loss': 2.6085, 'grad_norm': 4.822701454162598, 'learning_rate': 8.554200261562866e-06, 'epoch': 0.07}

 74%|███████▍  | 7421/10000 [19:13:58<5:59:19,  8.36s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.694887638092041, dino_loss: 0.6171875, depth_loss: 0.05495064705610275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8435595035552979, dino_loss: 0.71484375, depth_loss: 0.0648249089717865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7422/10000 [19:14:08<6:17:00,  8.77s/it]
                                                         
{'loss': 2.2874, 'grad_norm': 4.504384517669678, 'learning_rate': 8.547974485379285e-06, 'epoch': 0.07}

 74%|███████▍  | 7422/10000 [19:14:08<6:17:00,  8.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9356021881103516, dino_loss: 0.5703125, depth_loss: 0.06148623675107956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6630340814590454, dino_loss: 0.609375, depth_loss: 0.03884145990014076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7423/10000 [19:14:16<6:10:45,  8.63s/it]
                                                         
{'loss': 2.166, 'grad_norm': 4.042818069458008, 'learning_rate': 8.54175050836447e-06, 'epoch': 0.07}

 74%|███████▍  | 7423/10000 [19:14:16<6:10:45,  8.63s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5793780088424683, dino_loss: 0.6328125, depth_loss: 0.056743573397397995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0531914234161377, dino_loss: 0.7265625, depth_loss: 0.06081179901957512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7424/10000 [19:14:24<5:55:25,  8.28s/it]
                                                         
{'loss': 2.3022, 'grad_norm': 3.084118127822876, 'learning_rate': 8.535528331199086e-06, 'epoch': 0.07}

 74%|███████▍  | 7424/10000 [19:14:24<5:55:25,  8.28s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9378546476364136, dino_loss: 0.68359375, depth_loss: 0.05465935170650482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.813765823841095, dino_loss: 0.66015625, depth_loss: 0.05579112470149994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7425/10000 [19:14:31<5:40:05,  7.92s/it]
                                                         
{'loss': 2.6591, 'grad_norm': 5.531579971313477, 'learning_rate': 8.52930795456355e-06, 'epoch': 0.07}

 74%|███████▍  | 7425/10000 [19:14:31<5:40:05,  7.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5930498838424683, dino_loss: 0.55859375, depth_loss: 0.05906231701374054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6997158527374268, dino_loss: 0.65625, depth_loss: 0.06018383428454399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7426/10000 [19:14:39<5:38:44,  7.90s/it]
                                                         
{'loss': 1.8957, 'grad_norm': 3.695723056793213, 'learning_rate': 8.523089379138149e-06, 'epoch': 0.07}

 74%|███████▍  | 7426/10000 [19:14:39<5:38:44,  7.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9077873229980469, dino_loss: 0.71875, depth_loss: 0.06029422953724861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6634487509727478, dino_loss: 0.67578125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7427/10000 [19:14:48<5:58:30,  8.36s/it]
                                                         
{'loss': 2.3896, 'grad_norm': 4.20355749130249, 'learning_rate': 8.516872605602916e-06, 'epoch': 0.07}

 74%|███████▍  | 7427/10000 [19:14:48<5:58:30,  8.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8821787238121033, dino_loss: 0.6875, depth_loss: 0.056232184171676636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8784929513931274, dino_loss: 0.6875, depth_loss: 0.05566295236349106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7428/10000 [19:14:58<6:16:10,  8.78s/it]
                                                         
{'loss': 2.8281, 'grad_norm': 4.170754432678223, 'learning_rate': 8.510657634637717e-06, 'epoch': 0.07}

 74%|███████▍  | 7428/10000 [19:14:58<6:16:10,  8.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9016561508178711, dino_loss: 0.66015625, depth_loss: 0.053822509944438934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9426701068878174, dino_loss: 0.63671875, depth_loss: 0.06147865578532219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7429/10000 [19:15:06<6:09:09,  8.62s/it]
                                                         
{'loss': 2.019, 'grad_norm': 6.356776714324951, 'learning_rate': 8.504444466922204e-06, 'epoch': 0.07}

 74%|███████▍  | 7429/10000 [19:15:06<6:09:09,  8.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7979139089584351, dino_loss: 0.7265625, depth_loss: 0.0909949392080307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7903130054473877, dino_loss: 0.59375, depth_loss: 0.0443265475332737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7430/10000 [19:15:12<5:36:48,  7.86s/it]
                                                         
{'loss': 2.3687, 'grad_norm': 6.695620536804199, 'learning_rate': 8.49823310313584e-06, 'epoch': 0.07}

 74%|███████▍  | 7430/10000 [19:15:12<5:36:48,  7.86s/it]the number of masks: 8
seg_loss: 0.7162712216377258, dino_loss: 0.6796875, depth_loss: 0.03943544253706932, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7993265390396118, dino_loss: 0.65625, depth_loss: 0.0524035319685936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7431/10000 [19:15:18<5:14:28,  7.34s/it]
                                                         
{'loss': 1.772, 'grad_norm': 11.708020210266113, 'learning_rate': 8.492023543957895e-06, 'epoch': 0.07}

 74%|███████▍  | 7431/10000 [19:15:18<5:14:28,  7.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7205720543861389, dino_loss: 0.6796875, depth_loss: 0.05084841325879097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6786216497421265, dino_loss: 0.62109375, depth_loss: 0.05108420550823212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7432/10000 [19:15:27<5:30:00,  7.71s/it]
                                                         
{'loss': 2.0232, 'grad_norm': 2.018603563308716, 'learning_rate': 8.485815790067442e-06, 'epoch': 0.07}

 74%|███████▍  | 7432/10000 [19:15:27<5:30:00,  7.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7050313949584961, dino_loss: 0.71484375, depth_loss: 0.0575387217104435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.4918750524520874, dino_loss: 0.6640625, depth_loss: 0.06037836894392967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7433/10000 [19:15:35<5:34:18,  7.81s/it]
                                                         
{'loss': 1.7616, 'grad_norm': 5.399678707122803, 'learning_rate': 8.47960984214334e-06, 'epoch': 0.07}

 74%|███████▍  | 7433/10000 [19:15:35<5:34:18,  7.81s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9047287702560425, dino_loss: 0.67578125, depth_loss: 0.09058830142021179, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6994119882583618, dino_loss: 0.640625, depth_loss: 0.04845549911260605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7434/10000 [19:15:43<5:36:12,  7.86s/it]
                                                         
{'loss': 2.3575, 'grad_norm': 3.0477211475372314, 'learning_rate': 8.473405700864268e-06, 'epoch': 0.07}

 74%|███████▍  | 7434/10000 [19:15:43<5:36:12,  7.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9988013505935669, dino_loss: 0.70703125, depth_loss: 0.04798685386776924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8513852953910828, dino_loss: 0.6796875, depth_loss: 0.0460587739944458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7435/10000 [19:15:53<6:02:58,  8.49s/it]
                                                         
{'loss': 2.438, 'grad_norm': 1.735905408859253, 'learning_rate': 8.467203366908707e-06, 'epoch': 0.07}

 74%|███████▍  | 7435/10000 [19:15:53<6:02:58,  8.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9120076894760132, dino_loss: 0.7734375, depth_loss: 0.06864126026630402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7607375383377075, dino_loss: 0.65234375, depth_loss: 0.08629840612411499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7436/10000 [19:16:00<5:47:29,  8.13s/it]
                                                         
{'loss': 2.6747, 'grad_norm': 5.0823493003845215, 'learning_rate': 8.461002840954921e-06, 'epoch': 0.07}

 74%|███████▍  | 7436/10000 [19:16:00<5:47:29,  8.13s/it]the number of masks: 8
seg_loss: 0.994613766670227, dino_loss: 0.74609375, depth_loss: 0.06262725591659546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.915791392326355, dino_loss: 0.734375, depth_loss: 0.05398203060030937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7437/10000 [19:16:06<5:16:33,  7.41s/it]
                                                         
{'loss': 2.7489, 'grad_norm': 5.033072471618652, 'learning_rate': 8.45480412368101e-06, 'epoch': 0.07}

 74%|███████▍  | 7437/10000 [19:16:06<5:16:33,  7.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8057552576065063, dino_loss: 0.640625, depth_loss: 0.05794791504740715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9462618827819824, dino_loss: 0.6953125, depth_loss: 0.08109618723392487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7438/10000 [19:16:14<5:27:55,  7.68s/it]
                                                         
{'loss': 2.1113, 'grad_norm': 4.359978199005127, 'learning_rate': 8.448607215764823e-06, 'epoch': 0.07}

 74%|███████▍  | 7438/10000 [19:16:14<5:27:55,  7.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7981053590774536, dino_loss: 0.6875, depth_loss: 0.06365582346916199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9614988565444946, dino_loss: 0.65234375, depth_loss: 0.058089517056941986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7439/10000 [19:16:21<5:20:40,  7.51s/it]
                                                         
{'loss': 1.9212, 'grad_norm': 5.070064544677734, 'learning_rate': 8.442412117884086e-06, 'epoch': 0.07}

 74%|███████▍  | 7439/10000 [19:16:21<5:20:40,  7.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0074777603149414, dino_loss: 0.67578125, depth_loss: 0.07875887304544449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7446162700653076, dino_loss: 0.0, depth_loss: 0.08208858966827393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7440/10000 [19:16:32<6:05:33,  8.57s/it]
                                                         
{'loss': 1.6727, 'grad_norm': 4.279585838317871, 'learning_rate': 8.436218830716258e-06, 'epoch': 0.07}

 74%|███████▍  | 7440/10000 [19:16:32<6:05:33,  8.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8052941560745239, dino_loss: 0.6796875, depth_loss: 0.05528073012828827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9263777136802673, dino_loss: 0.671875, depth_loss: 0.04764927923679352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7441/10000 [19:16:41<6:08:44,  8.65s/it]
                                                         
{'loss': 1.6481, 'grad_norm': 3.8094754219055176, 'learning_rate': 8.430027354938641e-06, 'epoch': 0.07}

 74%|███████▍  | 7441/10000 [19:16:41<6:08:44,  8.65s/it]the number of masks: 5
the number of masks: 8
seg_loss: 0.9323056936264038, dino_loss: 0.7578125, depth_loss: 0.048329517245292664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0640079975128174, dino_loss: 0.68359375, depth_loss: 0.06921123713254929, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7442/10000 [19:16:47<5:38:10,  7.93s/it]
                                                         
{'loss': 2.2717, 'grad_norm': 8.461146354675293, 'learning_rate': 8.423837691228315e-06, 'epoch': 0.07}

 74%|███████▍  | 7442/10000 [19:16:47<5:38:10,  7.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8492136001586914, dino_loss: 0.72265625, depth_loss: 0.06912607699632645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7807611227035522, dino_loss: 0.72265625, depth_loss: 0.052757181227207184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7443/10000 [19:16:58<6:12:58,  8.75s/it]
                                                         
{'loss': 2.4641, 'grad_norm': 3.3762645721435547, 'learning_rate': 8.417649840262184e-06, 'epoch': 0.07}

 74%|███████▍  | 7443/10000 [19:16:58<6:12:58,  8.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7779168486595154, dino_loss: 0.64453125, depth_loss: 0.052205704152584076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.965777575969696, dino_loss: 0.70703125, depth_loss: 0.0874512642621994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7444/10000 [19:17:08<6:29:58,  9.15s/it]
                                                         
{'loss': 2.1424, 'grad_norm': 5.487915515899658, 'learning_rate': 8.411463802716918e-06, 'epoch': 0.07}

 74%|███████▍  | 7444/10000 [19:17:08<6:29:58,  9.15s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9142582416534424, dino_loss: 0.6953125, depth_loss: 0.04836520925164223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7959247827529907, dino_loss: 0.65234375, depth_loss: 0.05206124112010002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7445/10000 [19:17:15<6:03:50,  8.54s/it]
                                                         
{'loss': 2.0875, 'grad_norm': 3.2725961208343506, 'learning_rate': 8.405279579269046e-06, 'epoch': 0.07}

 74%|███████▍  | 7445/10000 [19:17:15<6:03:50,  8.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8618115186691284, dino_loss: 0.66015625, depth_loss: 0.06004568189382553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9301720857620239, dino_loss: 0.7109375, depth_loss: 0.0708707720041275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7446/10000 [19:17:24<6:06:22,  8.61s/it]
                                                         
{'loss': 2.4513, 'grad_norm': 3.004772663116455, 'learning_rate': 8.399097170594844e-06, 'epoch': 0.07}

 74%|███████▍  | 7446/10000 [19:17:24<6:06:22,  8.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7977939248085022, dino_loss: 0.72265625, depth_loss: 0.06812197715044022, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9151095747947693, dino_loss: 0.66015625, depth_loss: 0.0587661974132061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7447/10000 [19:17:33<6:08:12,  8.65s/it]
                                                         
{'loss': 2.1603, 'grad_norm': 4.146081447601318, 'learning_rate': 8.392916577370421e-06, 'epoch': 0.07}

 74%|███████▍  | 7447/10000 [19:17:33<6:08:12,  8.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6720219850540161, dino_loss: 0.72265625, depth_loss: 0.07757750153541565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.958065927028656, dino_loss: 0.75, depth_loss: 0.0939117893576622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7448/10000 [19:17:41<6:03:50,  8.55s/it]
                                                         
{'loss': 2.3421, 'grad_norm': 2.5208051204681396, 'learning_rate': 8.386737800271668e-06, 'epoch': 0.07}

 74%|███████▍  | 7448/10000 [19:17:41<6:03:50,  8.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9781287908554077, dino_loss: 0.88671875, depth_loss: 0.056080758571624756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.962191641330719, dino_loss: 0.68359375, depth_loss: 0.04799952358007431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7449/10000 [19:17:50<6:04:15,  8.57s/it]
                                                         
{'loss': 2.7573, 'grad_norm': 3.6781654357910156, 'learning_rate': 8.380560839974296e-06, 'epoch': 0.07}

 74%|███████▍  | 7449/10000 [19:17:50<6:04:15,  8.57s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7368466258049011, dino_loss: 0.6640625, depth_loss: 0.058187466114759445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 4
seg_loss: 0.5484315156936646, dino_loss: 0.58984375, depth_loss: 0.07092370837926865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 74%|███████▍  | 7450/10000 [19:17:56<5:34:46,  7.88s/it]
                                                         
{'loss': 2.2828, 'grad_norm': 6.361738681793213, 'learning_rate': 8.374385697153792e-06, 'epoch': 0.07}

 74%|███████▍  | 7450/10000 [19:17:56<5:34:46,  7.88s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7642117738723755, dino_loss: 0.73046875, depth_loss: 0.06025682017207146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8839017152786255, dino_loss: 0.6328125, depth_loss: 0.07056716084480286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7451/10000 [19:18:04<5:31:50,  7.81s/it]
                                                         
{'loss': 2.3397, 'grad_norm': 4.668366432189941, 'learning_rate': 8.368212372485485e-06, 'epoch': 0.07}

 75%|███████▍  | 7451/10000 [19:18:04<5:31:50,  7.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7734466791152954, dino_loss: 0.57421875, depth_loss: 0.08801843971014023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.8150741457939148, dino_loss: 0.60546875, depth_loss: 0.05038607865571976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7452/10000 [19:18:13<5:54:30,  8.35s/it]
                                                         
{'loss': 1.9891, 'grad_norm': 4.343341827392578, 'learning_rate': 8.362040866644457e-06, 'epoch': 0.07}

 75%|███████▍  | 7452/10000 [19:18:13<5:54:30,  8.35s/it]the number of masks: 8
seg_loss: 0.3774679899215698, dino_loss: 0.625, depth_loss: 0.043363913893699646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9502298831939697, dino_loss: 0.671875, depth_loss: 0.05935407057404518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7453/10000 [19:18:21<5:47:49,  8.19s/it]
                                                         
{'loss': 2.2012, 'grad_norm': 3.184880018234253, 'learning_rate': 8.355871180305638e-06, 'epoch': 0.07}

 75%|███████▍  | 7453/10000 [19:18:21<5:47:49,  8.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9352329969406128, dino_loss: 0.74609375, depth_loss: 0.06350361555814743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8430271148681641, dino_loss: 0.66015625, depth_loss: 0.05659126490354538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7454/10000 [19:18:30<5:51:20,  8.28s/it]
                                                         
{'loss': 2.339, 'grad_norm': 3.8170387744903564, 'learning_rate': 8.34970331414371e-06, 'epoch': 0.07}

 75%|███████▍  | 7454/10000 [19:18:30<5:51:20,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7691725492477417, dino_loss: 0.73046875, depth_loss: 0.05327722430229187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8831381797790527, dino_loss: 0.65625, depth_loss: 0.06137572228908539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7455/10000 [19:18:39<6:09:11,  8.70s/it]
                                                         
{'loss': 2.1509, 'grad_norm': 2.3668203353881836, 'learning_rate': 8.343537268833199e-06, 'epoch': 0.07}

 75%|███████▍  | 7455/10000 [19:18:39<6:09:11,  8.70s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.959585428237915, dino_loss: 0.67578125, depth_loss: 0.04917329549789429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8621781468391418, dino_loss: 0.65625, depth_loss: 0.06576268374919891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7456/10000 [19:18:47<5:52:55,  8.32s/it]
                                                         
{'loss': 2.2729, 'grad_norm': 5.788619518280029, 'learning_rate': 8.337373045048416e-06, 'epoch': 0.07}

 75%|███████▍  | 7456/10000 [19:18:47<5:52:55,  8.32s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7369359731674194, dino_loss: 0.7734375, depth_loss: 0.07460643351078033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7675931453704834, dino_loss: 0.70703125, depth_loss: 0.05588419735431671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7457/10000 [19:18:55<5:56:36,  8.41s/it]
                                                         
{'loss': 2.3067, 'grad_norm': 3.611476421356201, 'learning_rate': 8.331210643463455e-06, 'epoch': 0.07}

 75%|███████▍  | 7457/10000 [19:18:55<5:56:36,  8.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.483602523803711, dino_loss: 0.8046875, depth_loss: 0.06488186866044998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9069557189941406, dino_loss: 0.6328125, depth_loss: 0.07543773949146271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7458/10000 [19:19:04<6:02:59,  8.57s/it]
                                                         
{'loss': 2.9622, 'grad_norm': 3.6642425060272217, 'learning_rate': 8.325050064752238e-06, 'epoch': 0.07}

 75%|███████▍  | 7458/10000 [19:19:04<6:02:59,  8.57s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8128304481506348, dino_loss: 0.66796875, depth_loss: 0.05928406864404678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7459/10000 [19:19:09<5:14:30,  7.43s/it]
                                                         
{'loss': 1.9105, 'grad_norm': 1.7639399766921997, 'learning_rate': 8.318891309588475e-06, 'epoch': 0.07}

 75%|███████▍  | 7459/10000 [19:19:09<5:14:30,  7.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8901736736297607, dino_loss: 0.734375, depth_loss: 0.06479883193969727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9477540850639343, dino_loss: 0.68359375, depth_loss: 0.06000025197863579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7460/10000 [19:19:17<5:27:39,  7.74s/it]
                                                         
{'loss': 2.3416, 'grad_norm': 5.580855846405029, 'learning_rate': 8.31273437864569e-06, 'epoch': 0.07}

 75%|███████▍  | 7460/10000 [19:19:17<5:27:39,  7.74s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7310893535614014, dino_loss: 0.703125, depth_loss: 0.07462006062269211, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5182173252105713, dino_loss: 0.5, depth_loss: 0.05517930909991264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7461/10000 [19:19:26<5:39:23,  8.02s/it]
                                                         
{'loss': 2.1367, 'grad_norm': 2.697946548461914, 'learning_rate': 8.306579272597173e-06, 'epoch': 0.07}

 75%|███████▍  | 7461/10000 [19:19:26<5:39:23,  8.02s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9208382964134216, dino_loss: 0.71875, depth_loss: 0.06429602205753326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6513750553131104, dino_loss: 0.65625, depth_loss: 0.068585105240345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7462/10000 [19:19:35<5:48:20,  8.23s/it]
                                                         
{'loss': 2.2292, 'grad_norm': 4.651733875274658, 'learning_rate': 8.300425992116057e-06, 'epoch': 0.07}

 75%|███████▍  | 7462/10000 [19:19:35<5:48:20,  8.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7370469570159912, dino_loss: 0.65234375, depth_loss: 0.06235014647245407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8509863615036011, dino_loss: 0.69140625, depth_loss: 0.045682139694690704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7463/10000 [19:19:42<5:35:00,  7.92s/it]
                                                         
{'loss': 2.1951, 'grad_norm': 2.6859753131866455, 'learning_rate': 8.294274537875232e-06, 'epoch': 0.07}

 75%|███████▍  | 7463/10000 [19:19:42<5:35:00,  7.92s/it]the number of masks: 8
seg_loss: 0.48092082142829895, dino_loss: 0.6328125, depth_loss: 0.06558239459991455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8072702884674072, dino_loss: 0.66796875, depth_loss: 0.05716878920793533, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7464/10000 [19:19:49<5:22:15,  7.62s/it]
                                                         
{'loss': 2.2255, 'grad_norm': 3.8497750759124756, 'learning_rate': 8.28812491054744e-06, 'epoch': 0.07}

 75%|███████▍  | 7464/10000 [19:19:49<5:22:15,  7.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7005533576011658, dino_loss: 0.5703125, depth_loss: 0.05728043615818024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.63671875, depth_loss: 0.03763432055711746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7465/10000 [19:19:56<5:13:13,  7.41s/it]
                                                         
{'loss': 1.6444, 'grad_norm': 1.3815503120422363, 'learning_rate': 8.281977110805177e-06, 'epoch': 0.07}

 75%|███████▍  | 7465/10000 [19:19:56<5:13:13,  7.41s/it]the number of masks: 8
seg_loss: 1.1978375911712646, dino_loss: 0.76171875, depth_loss: 0.06870192289352417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5857312679290771, dino_loss: 0.62109375, depth_loss: 0.05198672041296959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7466/10000 [19:20:04<5:24:09,  7.68s/it]
                                                         
{'loss': 2.0827, 'grad_norm': 7.632611274719238, 'learning_rate': 8.27583113932077e-06, 'epoch': 0.07}

 75%|███████▍  | 7466/10000 [19:20:04<5:24:09,  7.68s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.054836295545101166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6206334233283997, dino_loss: 0.8203125, depth_loss: 0.0322352796792984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7467/10000 [19:20:10<5:01:24,  7.14s/it]
                                                         
{'loss': 1.6942, 'grad_norm': 6.092419147491455, 'learning_rate': 8.269686996766315e-06, 'epoch': 0.07}

 75%|███████▍  | 7467/10000 [19:20:10<5:01:24,  7.14s/it]the number of masks: 8
seg_loss: 0.7713248133659363, dino_loss: 0.6171875, depth_loss: 0.05307023972272873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8047213554382324, dino_loss: 0.7109375, depth_loss: 0.07098556309938431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7468/10000 [19:20:17<4:55:31,  7.00s/it]
                                                         
{'loss': 2.3895, 'grad_norm': 4.733609199523926, 'learning_rate': 8.263544683813749e-06, 'epoch': 0.07}

 75%|███████▍  | 7468/10000 [19:20:17<4:55:31,  7.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7311676740646362, dino_loss: 0.65234375, depth_loss: 0.057389035820961, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8062205910682678, dino_loss: 0.70703125, depth_loss: 0.05888071656227112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7469/10000 [19:20:24<5:00:15,  7.12s/it]
                                                         
{'loss': 1.828, 'grad_norm': 5.288778305053711, 'learning_rate': 8.25740420113476e-06, 'epoch': 0.07}

 75%|███████▍  | 7469/10000 [19:20:24<5:00:15,  7.12s/it]the number of masks: 8
seg_loss: 0.5945405960083008, dino_loss: 0.6484375, depth_loss: 0.044466763734817505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9027964472770691, dino_loss: 0.6640625, depth_loss: 0.05200955271720886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7470/10000 [19:20:32<5:08:27,  7.32s/it]
                                                         
{'loss': 2.2352, 'grad_norm': 4.690985679626465, 'learning_rate': 8.251265549400877e-06, 'epoch': 0.07}

 75%|███████▍  | 7470/10000 [19:20:32<5:08:27,  7.32s/it]the number of masks: 8
seg_loss: 1.212827444076538, dino_loss: 0.67578125, depth_loss: 0.04728526994585991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9827312231063843, dino_loss: 0.6640625, depth_loss: 0.05924222990870476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7471/10000 [19:20:40<5:14:10,  7.45s/it]
                                                         
{'loss': 2.9171, 'grad_norm': 12.839493751525879, 'learning_rate': 8.245128729283414e-06, 'epoch': 0.07}

 75%|███████▍  | 7471/10000 [19:20:40<5:14:10,  7.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8132888674736023, dino_loss: 0.71875, depth_loss: 0.08829672634601593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8701903820037842, dino_loss: 0.66796875, depth_loss: 0.06394477933645248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7472/10000 [19:20:48<5:29:53,  7.83s/it]
                                                         
{'loss': 2.206, 'grad_norm': 4.123460292816162, 'learning_rate': 8.238993741453488e-06, 'epoch': 0.07}

 75%|███████▍  | 7472/10000 [19:20:48<5:29:53,  7.83s/it]the number of masks: 8
seg_loss: 0.7286336421966553, dino_loss: 0.0, depth_loss: 0.07290725409984589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9342033863067627, dino_loss: 0.70703125, depth_loss: 0.04804849997162819, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7473/10000 [19:20:55<5:09:10,  7.34s/it]
                                                         
{'loss': 1.5562, 'grad_norm': 8.941717147827148, 'learning_rate': 8.232860586582001e-06, 'epoch': 0.07}

 75%|███████▍  | 7473/10000 [19:20:55<5:09:10,  7.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7696491479873657, dino_loss: 0.734375, depth_loss: 0.06909136474132538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9309362769126892, dino_loss: 0.6875, depth_loss: 0.05170391499996185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7474/10000 [19:21:03<5:24:14,  7.70s/it]
                                                         
{'loss': 2.6414, 'grad_norm': 3.208751916885376, 'learning_rate': 8.226729265339677e-06, 'epoch': 0.07}

 75%|███████▍  | 7474/10000 [19:21:03<5:24:14,  7.70s/it]the number of masks: 8
seg_loss: 0.8770363330841064, dino_loss: 0.68359375, depth_loss: 0.052163705229759216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.898831844329834, dino_loss: 0.68359375, depth_loss: 0.0463612824678421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7475/10000 [19:21:10<5:15:51,  7.51s/it]
                                                         
{'loss': 2.4961, 'grad_norm': 7.724056243896484, 'learning_rate': 8.220599778397017e-06, 'epoch': 0.07}

 75%|███████▍  | 7475/10000 [19:21:10<5:15:51,  7.51s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7508754134178162, dino_loss: 0.55078125, depth_loss: 0.03254147619009018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6248797178268433, dino_loss: 0.7421875, depth_loss: 0.04780173301696777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7476/10000 [19:21:17<5:00:42,  7.15s/it]
                                                         
{'loss': 2.0424, 'grad_norm': 6.077045440673828, 'learning_rate': 8.214472126424335e-06, 'epoch': 0.07}

 75%|███████▍  | 7476/10000 [19:21:17<5:00:42,  7.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7762316465377808, dino_loss: 0.60546875, depth_loss: 0.051732905209064484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7381683588027954, dino_loss: 0.71484375, depth_loss: 0.07172315567731857, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7477/10000 [19:21:25<5:12:11,  7.42s/it]
                                                         
{'loss': 2.1653, 'grad_norm': 2.699929714202881, 'learning_rate': 8.208346310091747e-06, 'epoch': 0.07}

 75%|███████▍  | 7477/10000 [19:21:25<5:12:11,  7.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7493487596511841, dino_loss: 0.65625, depth_loss: 0.06187613680958748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7286708354949951, dino_loss: 0.62109375, depth_loss: 0.05001259595155716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7478/10000 [19:21:33<5:21:45,  7.65s/it]
                                                         
{'loss': 2.0463, 'grad_norm': 3.0804948806762695, 'learning_rate': 8.202222330069167e-06, 'epoch': 0.07}

 75%|███████▍  | 7478/10000 [19:21:33<5:21:45,  7.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0036475658416748, dino_loss: 0.7109375, depth_loss: 0.06250938773155212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7267913818359375, dino_loss: 0.73828125, depth_loss: 0.0666346400976181, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7479/10000 [19:21:39<5:03:24,  7.22s/it]
                                                         
{'loss': 1.9374, 'grad_norm': 3.5001533031463623, 'learning_rate': 8.19610018702629e-06, 'epoch': 0.07}

 75%|███████▍  | 7479/10000 [19:21:39<5:03:24,  7.22s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8587822318077087, dino_loss: 0.69921875, depth_loss: 0.07453486323356628, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.53125, depth_loss: 0.037068046629428864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7480/10000 [19:21:44<4:37:58,  6.62s/it]
                                                         
{'loss': 1.3691, 'grad_norm': 1.5374462604522705, 'learning_rate': 8.189979881632634e-06, 'epoch': 0.07}

 75%|███████▍  | 7480/10000 [19:21:44<4:37:58,  6.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8734030723571777, dino_loss: 0.6953125, depth_loss: 0.04969813674688339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8207282423973083, dino_loss: 0.65234375, depth_loss: 0.05831436812877655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7481/10000 [19:21:54<5:12:35,  7.45s/it]
                                                         
{'loss': 2.1151, 'grad_norm': 3.184242010116577, 'learning_rate': 8.183861414557511e-06, 'epoch': 0.07}

 75%|███████▍  | 7481/10000 [19:21:54<5:12:35,  7.45s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.934022068977356, dino_loss: 0.68359375, depth_loss: 0.06848961114883423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7011319398880005, dino_loss: 0.66796875, depth_loss: 0.05954374000430107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7482/10000 [19:22:03<5:33:16,  7.94s/it]
                                                         
{'loss': 1.9312, 'grad_norm': 2.2811176776885986, 'learning_rate': 8.177744786470012e-06, 'epoch': 0.07}

 75%|███████▍  | 7482/10000 [19:22:03<5:33:16,  7.94s/it]the number of masks: 8
seg_loss: 1.0161447525024414, dino_loss: 0.63671875, depth_loss: 0.06870893388986588, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7180536985397339, dino_loss: 0.65234375, depth_loss: 0.08679486811161041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7483/10000 [19:22:10<5:24:16,  7.73s/it]
                                                         
{'loss': 2.3792, 'grad_norm': 2.7895495891571045, 'learning_rate': 8.171629998039055e-06, 'epoch': 0.07}

 75%|███████▍  | 7483/10000 [19:22:10<5:24:16,  7.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9291157126426697, dino_loss: 0.6796875, depth_loss: 0.051069892942905426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.47267889976501465, dino_loss: 0.671875, depth_loss: 0.06877997517585754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7484/10000 [19:22:18<5:26:15,  7.78s/it]
                                                         
{'loss': 2.2556, 'grad_norm': 6.675440311431885, 'learning_rate': 8.16551704993334e-06, 'epoch': 0.07}

 75%|███████▍  | 7484/10000 [19:22:18<5:26:15,  7.78s/it]the number of masks: 8
seg_loss: 0.7953590750694275, dino_loss: 0.640625, depth_loss: 0.08977322280406952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.7346146106719971, dino_loss: 0.6328125, depth_loss: 0.061665914952754974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7485/10000 [19:22:26<5:33:40,  7.96s/it]
                                                         
{'loss': 2.553, 'grad_norm': 8.320762634277344, 'learning_rate': 8.159405942821375e-06, 'epoch': 0.07}

 75%|███████▍  | 7485/10000 [19:22:26<5:33:40,  7.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8154909610748291, dino_loss: 0.67578125, depth_loss: 0.07085184007883072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66796875, depth_loss: 0.06499352306127548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7486/10000 [19:22:33<5:14:34,  7.51s/it]
                                                         
{'loss': 1.5784, 'grad_norm': 2.5822839736938477, 'learning_rate': 8.153296677371448e-06, 'epoch': 0.07}

 75%|███████▍  | 7486/10000 [19:22:33<5:14:34,  7.51s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7702087163925171, dino_loss: 0.71484375, depth_loss: 0.07276107370853424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7911566495895386, dino_loss: 0.71484375, depth_loss: 0.07947152107954025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7487/10000 [19:22:40<5:12:55,  7.47s/it]
                                                         
{'loss': 2.2522, 'grad_norm': 4.285470962524414, 'learning_rate': 8.147189254251678e-06, 'epoch': 0.07}

 75%|███████▍  | 7487/10000 [19:22:40<5:12:55,  7.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7079744338989258, dino_loss: 0.50390625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8236901760101318, dino_loss: 0.0, depth_loss: 0.03303933143615723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7488/10000 [19:22:48<5:20:47,  7.66s/it]
                                                         
{'loss': 1.7169, 'grad_norm': 4.2670793533325195, 'learning_rate': 8.141083674129946e-06, 'epoch': 0.07}

 75%|███████▍  | 7488/10000 [19:22:48<5:20:47,  7.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2450611591339111, dino_loss: 0.58984375, depth_loss: 0.06029286980628967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7035829424858093, dino_loss: 0.58984375, depth_loss: 0.05029081553220749, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7489/10000 [19:22:57<5:40:25,  8.13s/it]
                                                         
{'loss': 2.3385, 'grad_norm': 4.713266372680664, 'learning_rate': 8.134979937673953e-06, 'epoch': 0.07}

 75%|███████▍  | 7489/10000 [19:22:57<5:40:25,  8.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8938513398170471, dino_loss: 0.6796875, depth_loss: 0.04974636435508728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7860793471336365, dino_loss: 0.69140625, depth_loss: 0.07008807361125946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7490/10000 [19:23:09<6:18:11,  9.04s/it]
                                                         
{'loss': 1.8878, 'grad_norm': 5.383018493652344, 'learning_rate': 8.1288780455512e-06, 'epoch': 0.07}

 75%|███████▍  | 7490/10000 [19:23:09<6:18:11,  9.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9509076476097107, dino_loss: 0.67578125, depth_loss: 0.05796120688319206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7115964889526367, dino_loss: 0.6484375, depth_loss: 0.0538836270570755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7491/10000 [19:23:17<6:07:47,  8.80s/it]
                                                         
{'loss': 2.3597, 'grad_norm': 2.3105738162994385, 'learning_rate': 8.122777998428987e-06, 'epoch': 0.07}

 75%|███████▍  | 7491/10000 [19:23:17<6:07:47,  8.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0076347589492798, dino_loss: 0.7265625, depth_loss: 0.07854532450437546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.086824655532837, dino_loss: 0.640625, depth_loss: 0.05888178572058678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7492/10000 [19:23:25<5:59:19,  8.60s/it]
                                                         
{'loss': 2.4574, 'grad_norm': 4.0411601066589355, 'learning_rate': 8.116679796974388e-06, 'epoch': 0.07}

 75%|███████▍  | 7492/10000 [19:23:25<5:59:19,  8.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8670030832290649, dino_loss: 0.6953125, depth_loss: 0.06880827248096466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7367087006568909, dino_loss: 0.6796875, depth_loss: 0.05912817642092705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7493/10000 [19:23:33<5:57:51,  8.56s/it]
                                                         
{'loss': 2.1019, 'grad_norm': 3.1504764556884766, 'learning_rate': 8.110583441854313e-06, 'epoch': 0.07}

 75%|███████▍  | 7493/10000 [19:23:33<5:57:51,  8.56s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9122210144996643, dino_loss: 0.703125, depth_loss: 0.03976321220397949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7971081733703613, dino_loss: 0.6640625, depth_loss: 0.06367217004299164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7494/10000 [19:23:42<5:56:07,  8.53s/it]
                                                         
{'loss': 2.3096, 'grad_norm': 4.42189884185791, 'learning_rate': 8.104488933735432e-06, 'epoch': 0.07}

 75%|███████▍  | 7494/10000 [19:23:42<5:56:07,  8.53s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9228579998016357, dino_loss: 0.0, depth_loss: 0.06102056801319122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8489052057266235, dino_loss: 0.703125, depth_loss: 0.0934847965836525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7495/10000 [19:23:50<5:52:47,  8.45s/it]
                                                         
{'loss': 2.1965, 'grad_norm': 3.4144837856292725, 'learning_rate': 8.098396273284236e-06, 'epoch': 0.07}

 75%|███████▍  | 7495/10000 [19:23:50<5:52:47,  8.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8911136984825134, dino_loss: 0.71875, depth_loss: 0.06152067333459854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8493329882621765, dino_loss: 0.69921875, depth_loss: 0.08178327232599258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7496/10000 [19:24:00<6:08:24,  8.83s/it]
                                                         
{'loss': 1.981, 'grad_norm': 2.8465394973754883, 'learning_rate': 8.092305461167016e-06, 'epoch': 0.07}

 75%|███████▍  | 7496/10000 [19:24:00<6:08:24,  8.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8574231863021851, dino_loss: 0.73828125, depth_loss: 0.05513434857130051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8494877815246582, dino_loss: 0.703125, depth_loss: 0.06339583545923233, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7497/10000 [19:24:08<6:02:55,  8.70s/it]
                                                         
{'loss': 2.503, 'grad_norm': 3.265697956085205, 'learning_rate': 8.086216498049856e-06, 'epoch': 0.07}

 75%|███████▍  | 7497/10000 [19:24:08<6:02:55,  8.70s/it]the number of masks: 8
seg_loss: 0.6074900031089783, dino_loss: 0.69921875, depth_loss: 0.048567332327365875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8224396705627441, dino_loss: 0.7109375, depth_loss: 0.05252562090754509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7498/10000 [19:24:15<5:37:49,  8.10s/it]
                                                         
{'loss': 2.1962, 'grad_norm': 4.96607780456543, 'learning_rate': 8.080129384598625e-06, 'epoch': 0.07}

 75%|███████▍  | 7498/10000 [19:24:15<5:37:49,  8.10s/it]seg_loss: 0.0, dino_loss: 0.62109375, depth_loss: 0.06890809535980225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.3256417512893677, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▍  | 7499/10000 [19:24:19<4:51:02,  6.98s/it]
                                                         
{'loss': 1.1129, 'grad_norm': 2.516245126724243, 'learning_rate': 8.07404412147901e-06, 'epoch': 0.07}

 75%|███████▍  | 7499/10000 [19:24:19<4:51:02,  6.98s/it]the number of masks: 5
the number of masks: 8
seg_loss: 0.789156973361969, dino_loss: 0.625, depth_loss: 0.04904504120349884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6287534832954407, dino_loss: 0.0, depth_loss: 0.059680767357349396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7500/10000 [19:24:26<4:51:36,  7.00s/it]
                                                         
{'loss': 1.9455, 'grad_norm': 2.9471426010131836, 'learning_rate': 8.067960709356478e-06, 'epoch': 0.07}

 75%|███████▌  | 7500/10000 [19:24:26<4:51:36,  7.00s/it]the number of masks: 8
seg_loss: 1.0103222131729126, dino_loss: 0.6484375, depth_loss: 0.08373202383518219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.059506893157959, dino_loss: 0.72265625, depth_loss: 0.07508169114589691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7501/10000 [19:24:33<4:43:37,  6.81s/it]
                                                         
{'loss': 2.4985, 'grad_norm': 5.945474624633789, 'learning_rate': 8.061879148896304e-06, 'epoch': 0.07}

 75%|███████▌  | 7501/10000 [19:24:33<4:43:37,  6.81s/it]the number of masks: 8
seg_loss: 1.128477931022644, dino_loss: 0.71875, depth_loss: 0.048600465059280396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7021351456642151, dino_loss: 0.66796875, depth_loss: 0.061630140990018845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7502/10000 [19:24:38<4:23:34,  6.33s/it]
                                                         
{'loss': 2.3059, 'grad_norm': 3.2527096271514893, 'learning_rate': 8.05579944076356e-06, 'epoch': 0.07}

 75%|███████▌  | 7502/10000 [19:24:38<4:23:34,  6.33s/it]the number of masks: 8
seg_loss: 0.8662213683128357, dino_loss: 0.6484375, depth_loss: 0.048410456627607346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7656161785125732, dino_loss: 0.63671875, depth_loss: 0.07466644793748856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7503/10000 [19:24:44<4:26:23,  6.40s/it]
                                                         
{'loss': 2.3043, 'grad_norm': 16.322797775268555, 'learning_rate': 8.04972158562312e-06, 'epoch': 0.07}

 75%|███████▌  | 7503/10000 [19:24:44<4:26:23,  6.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.616865873336792, dino_loss: 0.58984375, depth_loss: 0.05790749937295914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7270586490631104, dino_loss: 0.74609375, depth_loss: 0.055170755833387375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7504/10000 [19:24:54<5:04:31,  7.32s/it]
                                                         
{'loss': 2.0266, 'grad_norm': 5.599320411682129, 'learning_rate': 8.04364558413964e-06, 'epoch': 0.07}

 75%|███████▌  | 7504/10000 [19:24:54<5:04:31,  7.32s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.86219322681427, dino_loss: 0.73046875, depth_loss: 0.06362991780042648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8711621761322021, dino_loss: 0.68359375, depth_loss: 0.11644472181797028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7505/10000 [19:25:03<5:25:21,  7.82s/it]
                                                         
{'loss': 2.1508, 'grad_norm': 3.3041787147521973, 'learning_rate': 8.037571436977582e-06, 'epoch': 0.07}

 75%|███████▌  | 7505/10000 [19:25:03<5:25:21,  7.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8123185634613037, dino_loss: 0.6171875, depth_loss: 0.042002636939287186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9412860870361328, dino_loss: 0.67578125, depth_loss: 0.06754477322101593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7506/10000 [19:25:11<5:23:19,  7.78s/it]
                                                         
{'loss': 2.5458, 'grad_norm': 5.133216857910156, 'learning_rate': 8.031499144801216e-06, 'epoch': 0.07}

 75%|███████▌  | 7506/10000 [19:25:11<5:23:19,  7.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6629317998886108, dino_loss: 0.546875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0238919258117676, dino_loss: 0.71484375, depth_loss: 0.06482657790184021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7507/10000 [19:25:19<5:32:23,  8.00s/it]
                                                         
{'loss': 2.3273, 'grad_norm': 3.6276416778564453, 'learning_rate': 8.025428708274584e-06, 'epoch': 0.07}

 75%|███████▌  | 7507/10000 [19:25:19<5:32:23,  8.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8689206838607788, dino_loss: 0.6875, depth_loss: 0.07162845879793167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8688384294509888, dino_loss: 0.64453125, depth_loss: 0.05315747857093811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7508/10000 [19:25:28<5:36:46,  8.11s/it]
                                                         
{'loss': 2.3418, 'grad_norm': 4.90585994720459, 'learning_rate': 8.019360128061551e-06, 'epoch': 0.07}

 75%|███████▌  | 7508/10000 [19:25:28<5:36:46,  8.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8665971755981445, dino_loss: 0.6796875, depth_loss: 0.07573341578245163, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6072392463684082, dino_loss: 0.6640625, depth_loss: 0.07540184259414673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7509/10000 [19:25:37<5:54:55,  8.55s/it]
                                                         
{'loss': 2.1447, 'grad_norm': 2.804438352584839, 'learning_rate': 8.01329340482576e-06, 'epoch': 0.07}

 75%|███████▌  | 7509/10000 [19:25:37<5:54:55,  8.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9485113620758057, dino_loss: 0.6484375, depth_loss: 0.058993156999349594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9108585119247437, dino_loss: 0.70703125, depth_loss: 0.06183052062988281, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7510/10000 [19:25:46<6:03:40,  8.76s/it]
                                                         
{'loss': 2.3362, 'grad_norm': 4.229487895965576, 'learning_rate': 8.007228539230676e-06, 'epoch': 0.07}

 75%|███████▌  | 7510/10000 [19:25:46<6:03:40,  8.76s/it]the number of masks: 8
seg_loss: 0.5592278242111206, dino_loss: 0.498046875, depth_loss: 0.05108337104320526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9780819416046143, dino_loss: 0.6171875, depth_loss: 0.055178605020046234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7511/10000 [19:25:53<5:35:19,  8.08s/it]
                                                         
{'loss': 2.2696, 'grad_norm': 10.852993965148926, 'learning_rate': 8.00116553193952e-06, 'epoch': 0.07}

 75%|███████▌  | 7511/10000 [19:25:53<5:35:19,  8.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8326030969619751, dino_loss: 0.671875, depth_loss: 0.05685169994831085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9467536211013794, dino_loss: 0.6171875, depth_loss: 0.07941437512636185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7512/10000 [19:26:01<5:32:31,  8.02s/it]
                                                         
{'loss': 2.1804, 'grad_norm': 2.809643507003784, 'learning_rate': 7.995104383615352e-06, 'epoch': 0.07}

 75%|███████▌  | 7512/10000 [19:26:01<5:32:31,  8.02s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6331062316894531, dino_loss: 0.65625, depth_loss: 0.03587137535214424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7892553210258484, dino_loss: 0.6328125, depth_loss: 0.05384267866611481, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7513/10000 [19:26:09<5:39:21,  8.19s/it]
                                                         
{'loss': 2.4674, 'grad_norm': 2.33754563331604, 'learning_rate': 7.989045094920995e-06, 'epoch': 0.07}

 75%|███████▌  | 7513/10000 [19:26:09<5:39:21,  8.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8005093336105347, dino_loss: 0.63671875, depth_loss: 0.04559588432312012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8222949504852295, dino_loss: 0.58984375, depth_loss: 0.05431818217039108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7514/10000 [19:26:18<5:48:58,  8.42s/it]
                                                         
{'loss': 2.6753, 'grad_norm': 3.8256027698516846, 'learning_rate': 7.98298766651909e-06, 'epoch': 0.07}

 75%|███████▌  | 7514/10000 [19:26:18<5:48:58,  8.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9235597848892212, dino_loss: 0.75, depth_loss: 0.06929394602775574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9099927544593811, dino_loss: 0.69140625, depth_loss: 0.06031830608844757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7515/10000 [19:26:28<5:59:00,  8.67s/it]
                                                         
{'loss': 2.3859, 'grad_norm': 11.2006196975708, 'learning_rate': 7.976932099072068e-06, 'epoch': 0.07}

 75%|███████▌  | 7515/10000 [19:26:28<5:59:00,  8.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.985256016254425, dino_loss: 0.6875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7713777422904968, dino_loss: 0.7421875, depth_loss: 0.07296581566333771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7516/10000 [19:26:36<5:59:54,  8.69s/it]
                                                         
{'loss': 1.9567, 'grad_norm': 6.410745620727539, 'learning_rate': 7.970878393242168e-06, 'epoch': 0.07}

 75%|███████▌  | 7516/10000 [19:26:36<5:59:54,  8.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.7727234363555908, dino_loss: 0.58203125, depth_loss: 0.045320671051740646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.750322699546814, dino_loss: 0.71875, depth_loss: 0.05086961388587952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7517/10000 [19:26:47<6:27:51,  9.37s/it]
                                                         
{'loss': 1.9532, 'grad_norm': 2.734118700027466, 'learning_rate': 7.964826549691396e-06, 'epoch': 0.07}

 75%|███████▌  | 7517/10000 [19:26:47<6:27:51,  9.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7687829732894897, dino_loss: 0.6640625, depth_loss: 0.07544748485088348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9045573472976685, dino_loss: 0.7265625, depth_loss: 0.05578853562474251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7518/10000 [19:26:56<6:24:26,  9.29s/it]
                                                         
{'loss': 2.4712, 'grad_norm': 2.1225662231445312, 'learning_rate': 7.958776569081586e-06, 'epoch': 0.07}

 75%|███████▌  | 7518/10000 [19:26:56<6:24:26,  9.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8694884181022644, dino_loss: 0.67578125, depth_loss: 0.07624749839305878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.705677330493927, dino_loss: 0.62890625, depth_loss: 0.041510917246341705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7519/10000 [19:27:03<5:57:33,  8.65s/it]
                                                         
{'loss': 1.7871, 'grad_norm': 4.162598133087158, 'learning_rate': 7.952728452074343e-06, 'epoch': 0.07}

 75%|███████▌  | 7519/10000 [19:27:03<5:57:33,  8.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7606353759765625, dino_loss: 0.703125, depth_loss: 0.10114362835884094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7523901462554932, dino_loss: 0.63671875, depth_loss: 0.05839576944708824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7520/10000 [19:27:13<6:11:13,  8.98s/it]
                                                         
{'loss': 2.0691, 'grad_norm': 4.862269401550293, 'learning_rate': 7.946682199331088e-06, 'epoch': 0.07}

 75%|███████▌  | 7520/10000 [19:27:13<6:11:13,  8.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7990145683288574, dino_loss: 0.65234375, depth_loss: 0.045017655938863754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.76171875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7521/10000 [19:27:19<5:33:33,  8.07s/it]
                                                         
{'loss': 1.5023, 'grad_norm': 5.3703742027282715, 'learning_rate': 7.940637811513025e-06, 'epoch': 0.07}

 75%|███████▌  | 7521/10000 [19:27:19<5:33:33,  8.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8733800649642944, dino_loss: 0.74609375, depth_loss: 0.0463985800743103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5285962224006653, dino_loss: 0.625, depth_loss: 0.04425892233848572, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7522/10000 [19:27:27<5:33:36,  8.08s/it]
                                                         
{'loss': 2.4489, 'grad_norm': 4.160031318664551, 'learning_rate': 7.934595289281172e-06, 'epoch': 0.07}

 75%|███████▌  | 7522/10000 [19:27:27<5:33:36,  8.08s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8095816373825073, dino_loss: 0.6640625, depth_loss: 0.05954302102327347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.837126612663269, dino_loss: 0.6484375, depth_loss: 0.04894633591175079, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7523/10000 [19:27:36<5:39:27,  8.22s/it]
                                                         
{'loss': 2.2992, 'grad_norm': 4.019504547119141, 'learning_rate': 7.928554633296312e-06, 'epoch': 0.07}

 75%|███████▌  | 7523/10000 [19:27:36<5:39:27,  8.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7825310826301575, dino_loss: 0.609375, depth_loss: 0.05566761642694473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.823880672454834, dino_loss: 0.640625, depth_loss: 0.06164008006453514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7524/10000 [19:27:47<6:13:35,  9.05s/it]
                                                         
{'loss': 1.8568, 'grad_norm': 5.766537666320801, 'learning_rate': 7.922515844219062e-06, 'epoch': 0.07}

 75%|███████▌  | 7524/10000 [19:27:47<6:13:35,  9.05s/it]the number of masks: 8
seg_loss: 0.9370280504226685, dino_loss: 0.0, depth_loss: 0.045969925820827484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9439870715141296, dino_loss: 0.69921875, depth_loss: 0.06960927695035934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7525/10000 [19:27:54<5:45:24,  8.37s/it]
                                                         
{'loss': 1.9859, 'grad_norm': 3.899343252182007, 'learning_rate': 7.91647892270979e-06, 'epoch': 0.07}

 75%|███████▌  | 7525/10000 [19:27:54<5:45:24,  8.37s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9051470756530762, dino_loss: 0.7734375, depth_loss: 0.059389326721429825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.4366645812988281, dino_loss: 0.76953125, depth_loss: 0.07332412898540497, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7526/10000 [19:28:00<5:22:47,  7.83s/it]
                                                         
{'loss': 2.6993, 'grad_norm': 9.512128829956055, 'learning_rate': 7.910443869428704e-06, 'epoch': 0.07}

 75%|███████▌  | 7526/10000 [19:28:00<5:22:47,  7.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9451377987861633, dino_loss: 0.5234375, depth_loss: 0.05520499125123024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1052829027175903, dino_loss: 0.58984375, depth_loss: 0.052469976246356964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7527/10000 [19:28:06<4:58:19,  7.24s/it]
                                                         
{'loss': 1.8257, 'grad_norm': 6.688137531280518, 'learning_rate': 7.90441068503578e-06, 'epoch': 0.07}

 75%|███████▌  | 7527/10000 [19:28:06<4:58:19,  7.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9710961580276489, dino_loss: 0.640625, depth_loss: 0.04650075361132622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7667617201805115, dino_loss: 0.75, depth_loss: 0.04350658133625984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7528/10000 [19:28:15<5:19:15,  7.75s/it]
                                                         
{'loss': 1.9774, 'grad_norm': 3.370823621749878, 'learning_rate': 7.89837937019081e-06, 'epoch': 0.07}

 75%|███████▌  | 7528/10000 [19:28:15<5:19:15,  7.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9030176997184753, dino_loss: 0.6953125, depth_loss: 0.05652548000216484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1497929096221924, dino_loss: 0.67578125, depth_loss: 0.04875558614730835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7529/10000 [19:28:25<5:41:43,  8.30s/it]
                                                         
{'loss': 2.6548, 'grad_norm': 2.3199691772460938, 'learning_rate': 7.89234992555335e-06, 'epoch': 0.07}

 75%|███████▌  | 7529/10000 [19:28:25<5:41:43,  8.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6477600336074829, dino_loss: 0.75, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5409929752349854, dino_loss: 0.51953125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7530/10000 [19:28:32<5:31:00,  8.04s/it]
                                                         
{'loss': 1.9323, 'grad_norm': 4.438199043273926, 'learning_rate': 7.886322351782783e-06, 'epoch': 0.07}

 75%|███████▌  | 7530/10000 [19:28:32<5:31:00,  8.04s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8710285425186157, dino_loss: 0.71875, depth_loss: 0.05805860087275505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.4730547070503235, dino_loss: 0.498046875, depth_loss: 0.049589142203330994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7531/10000 [19:28:40<5:33:05,  8.09s/it]
                                                         
{'loss': 1.6511, 'grad_norm': 3.040576934814453, 'learning_rate': 7.88029664953828e-06, 'epoch': 0.07}

 75%|███████▌  | 7531/10000 [19:28:40<5:33:05,  8.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7593829035758972, dino_loss: 0.70703125, depth_loss: 0.0630633756518364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7751942276954651, dino_loss: 0.71484375, depth_loss: 0.06882449984550476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7532/10000 [19:28:49<5:42:26,  8.33s/it]
                                                         
{'loss': 2.1404, 'grad_norm': 2.4226717948913574, 'learning_rate': 7.87427281947879e-06, 'epoch': 0.07}

 75%|███████▌  | 7532/10000 [19:28:49<5:42:26,  8.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6847991943359375, dino_loss: 0.71484375, depth_loss: 0.11127927899360657, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6688945293426514, dino_loss: 0.73046875, depth_loss: 0.064876988530159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7533/10000 [19:28:57<5:41:20,  8.30s/it]
                                                         
{'loss': 2.3202, 'grad_norm': 6.732399940490723, 'learning_rate': 7.868250862263074e-06, 'epoch': 0.07}

 75%|███████▌  | 7533/10000 [19:28:57<5:41:20,  8.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5519353747367859, dino_loss: 0.59765625, depth_loss: 0.054849691689014435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8580360412597656, dino_loss: 0.671875, depth_loss: 0.07374822348356247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7534/10000 [19:29:07<6:02:01,  8.81s/it]
                                                         
{'loss': 1.7172, 'grad_norm': 2.7009451389312744, 'learning_rate': 7.86223077854969e-06, 'epoch': 0.07}

 75%|███████▌  | 7534/10000 [19:29:07<6:02:01,  8.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8596771955490112, dino_loss: 0.6953125, depth_loss: 0.04741688817739487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1886558532714844, dino_loss: 0.60546875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7535/10000 [19:29:14<5:39:47,  8.27s/it]
                                                         
{'loss': 2.2139, 'grad_norm': 3.8401176929473877, 'learning_rate': 7.856212568996987e-06, 'epoch': 0.07}

 75%|███████▌  | 7535/10000 [19:29:14<5:39:47,  8.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9843976497650146, dino_loss: 0.71484375, depth_loss: 0.05711688846349716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.3903486430644989, dino_loss: 0.71484375, depth_loss: 0.0448865070939064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7536/10000 [19:29:21<5:22:39,  7.86s/it]
                                                         
{'loss': 2.4927, 'grad_norm': 6.671227931976318, 'learning_rate': 7.850196234263093e-06, 'epoch': 0.07}

 75%|███████▌  | 7536/10000 [19:29:21<5:22:39,  7.86s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.90574049949646, dino_loss: 0.640625, depth_loss: 0.07573360204696655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9413816928863525, dino_loss: 0.6953125, depth_loss: 0.07725031673908234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7537/10000 [19:29:28<5:13:03,  7.63s/it]
                                                         
{'loss': 2.3971, 'grad_norm': 3.7384727001190186, 'learning_rate': 7.844181775005965e-06, 'epoch': 0.07}

 75%|███████▌  | 7537/10000 [19:29:28<5:13:03,  7.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.718572735786438, dino_loss: 0.60546875, depth_loss: 0.056691136211156845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6887531280517578, dino_loss: 0.494140625, depth_loss: 0.05518350750207901, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7538/10000 [19:29:39<5:52:48,  8.60s/it]
                                                         
{'loss': 2.1398, 'grad_norm': 3.5682384967803955, 'learning_rate': 7.838169191883316e-06, 'epoch': 0.07}

 75%|███████▌  | 7538/10000 [19:29:39<5:52:48,  8.60s/it]the number of masks: 8
seg_loss: 1.0094857215881348, dino_loss: 0.69140625, depth_loss: 0.05258142575621605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8081926107406616, dino_loss: 0.6640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7539/10000 [19:29:45<5:16:03,  7.71s/it]
                                                         
{'loss': 2.1948, 'grad_norm': 8.978638648986816, 'learning_rate': 7.83215848555269e-06, 'epoch': 0.07}

 75%|███████▌  | 7539/10000 [19:29:45<5:16:03,  7.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7736610174179077, dino_loss: 0.71875, depth_loss: 0.06982186436653137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9165920615196228, dino_loss: 0.69921875, depth_loss: 0.0675448626279831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7540/10000 [19:29:51<5:01:40,  7.36s/it]
                                                         
{'loss': 2.5454, 'grad_norm': 4.593799114227295, 'learning_rate': 7.826149656671386e-06, 'epoch': 0.07}

 75%|███████▌  | 7540/10000 [19:29:51<5:01:40,  7.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0284022092819214, dino_loss: 0.68359375, depth_loss: 0.041623834520578384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8362659811973572, dino_loss: 0.6796875, depth_loss: 0.04037424921989441, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7541/10000 [19:30:00<5:17:57,  7.76s/it]
                                                         
{'loss': 2.3582, 'grad_norm': 3.9006707668304443, 'learning_rate': 7.82014270589655e-06, 'epoch': 0.07}

 75%|███████▌  | 7541/10000 [19:30:00<5:17:57,  7.76s/it]seg_loss: 0.0, dino_loss: 0.7421875, depth_loss: 0.06290701031684875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8565632700920105, dino_loss: 0.5, depth_loss: 0.06374485790729523, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7542/10000 [19:30:05<4:39:42,  6.83s/it]
                                                         
{'loss': 2.0129, 'grad_norm': 4.472712993621826, 'learning_rate': 7.814137633885068e-06, 'epoch': 0.07}

 75%|███████▌  | 7542/10000 [19:30:05<4:39:42,  6.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.89609694480896, dino_loss: 0.69921875, depth_loss: 0.04531114548444748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7973184585571289, dino_loss: 0.640625, depth_loss: 0.04102219641208649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7543/10000 [19:30:16<5:30:45,  8.08s/it]
                                                         
{'loss': 2.2003, 'grad_norm': 3.447493076324463, 'learning_rate': 7.808134441293666e-06, 'epoch': 0.07}

 75%|███████▌  | 7543/10000 [19:30:16<5:30:45,  8.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9443105459213257, dino_loss: 0.74609375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.2979491949081421, dino_loss: 0.59375, depth_loss: 0.07490064948797226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7544/10000 [19:30:23<5:18:09,  7.77s/it]
                                                         
{'loss': 2.0404, 'grad_norm': 3.8934619426727295, 'learning_rate': 7.802133128778825e-06, 'epoch': 0.07}

 75%|███████▌  | 7544/10000 [19:30:23<5:18:09,  7.77s/it]seg_loss: 0.0, dino_loss: 0.66015625, depth_loss: 0.05747754126787186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8398689031600952, dino_loss: 0.7578125, depth_loss: 0.08811669051647186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7545/10000 [19:30:29<5:00:28,  7.34s/it]
                                                         
{'loss': 2.024, 'grad_norm': 4.676578044891357, 'learning_rate': 7.796133696996858e-06, 'epoch': 0.07}

 75%|███████▌  | 7545/10000 [19:30:29<5:00:28,  7.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7755569219589233, dino_loss: 0.671875, depth_loss: 0.05895371362566948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6439850330352783, dino_loss: 0.71875, depth_loss: 0.08790479600429535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7546/10000 [19:30:36<4:59:00,  7.31s/it]
                                                         
{'loss': 1.9074, 'grad_norm': 7.839630126953125, 'learning_rate': 7.790136146603828e-06, 'epoch': 0.07}

 75%|███████▌  | 7546/10000 [19:30:36<4:59:00,  7.31s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9432768821716309, dino_loss: 0.61328125, depth_loss: 0.04715963080525398, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.898038387298584, dino_loss: 0.72265625, depth_loss: 0.057689081877470016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7547/10000 [19:30:45<5:13:16,  7.66s/it]
                                                         
{'loss': 1.8746, 'grad_norm': 4.7907609939575195, 'learning_rate': 7.784140478255647e-06, 'epoch': 0.07}

 75%|███████▌  | 7547/10000 [19:30:45<5:13:16,  7.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8248031139373779, dino_loss: 0.6953125, depth_loss: 0.04686366766691208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.6926090121269226, dino_loss: 0.6171875, depth_loss: 0.06780731678009033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7548/10000 [19:30:55<5:45:01,  8.44s/it]
                                                         
{'loss': 2.0167, 'grad_norm': 4.247135639190674, 'learning_rate': 7.778146692607974e-06, 'epoch': 0.07}

 75%|███████▌  | 7548/10000 [19:30:55<5:45:01,  8.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5573222637176514, dino_loss: 0.69921875, depth_loss: 0.06864048540592194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0056941509246826, dino_loss: 0.70703125, depth_loss: 0.06675852090120316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 75%|███████▌  | 7549/10000 [19:31:04<5:45:25,  8.46s/it]
                                                         
{'loss': 2.0826, 'grad_norm': 5.351812362670898, 'learning_rate': 7.772154790316294e-06, 'epoch': 0.07}

 75%|███████▌  | 7549/10000 [19:31:04<5:45:25,  8.46s/it]the number of masks: 8
seg_loss: 0.8838974237442017, dino_loss: 0.67578125, depth_loss: 0.08101487159729004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.944361686706543, dino_loss: 0.76171875, depth_loss: 0.06822356581687927, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7550/10000 [19:31:10<5:18:19,  7.80s/it]
                                                         
{'loss': 2.4426, 'grad_norm': 2.7021780014038086, 'learning_rate': 7.766164772035856e-06, 'epoch': 0.07}

 76%|███████▌  | 7550/10000 [19:31:10<5:18:19,  7.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9395920038223267, dino_loss: 0.76171875, depth_loss: 0.07037800550460815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7012865543365479, dino_loss: 0.734375, depth_loss: 0.06804932653903961, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7551/10000 [19:31:17<5:09:37,  7.59s/it]
                                                         
{'loss': 1.7858, 'grad_norm': 8.132122039794922, 'learning_rate': 7.76017663842173e-06, 'epoch': 0.07}

 76%|███████▌  | 7551/10000 [19:31:17<5:09:37,  7.59s/it]the number of masks: 8
seg_loss: 0.9609894752502441, dino_loss: 0.5078125, depth_loss: 0.03378254920244217, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5009369850158691, dino_loss: 0.0, depth_loss: 0.035506002604961395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7552/10000 [19:31:24<5:04:53,  7.47s/it]
                                                         
{'loss': 1.7805, 'grad_norm': 9.742754936218262, 'learning_rate': 7.754190390128766e-06, 'epoch': 0.07}

 76%|███████▌  | 7552/10000 [19:31:24<5:04:53,  7.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8084516525268555, dino_loss: 0.6484375, depth_loss: 0.08406838774681091, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6951367259025574, dino_loss: 0.75390625, depth_loss: 0.060324668884277344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7553/10000 [19:31:33<5:17:04,  7.77s/it]
                                                         
{'loss': 2.6309, 'grad_norm': 3.5842082500457764, 'learning_rate': 7.74820602781162e-06, 'epoch': 0.07}

 76%|███████▌  | 7553/10000 [19:31:33<5:17:04,  7.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7747128009796143, dino_loss: 0.7109375, depth_loss: 0.06911994516849518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8833662271499634, dino_loss: 0.490234375, depth_loss: 0.03099156729876995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7554/10000 [19:31:41<5:27:12,  8.03s/it]
                                                         
{'loss': 1.8398, 'grad_norm': 5.736945152282715, 'learning_rate': 7.742223552124715e-06, 'epoch': 0.07}

 76%|███████▌  | 7554/10000 [19:31:41<5:27:12,  8.03s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5461357831954956, dino_loss: 0.6171875, depth_loss: 0.060988519340753555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.2848435044288635, dino_loss: 0.640625, depth_loss: 0.032030537724494934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7555/10000 [19:31:47<5:03:38,  7.45s/it]
                                                         
{'loss': 1.6759, 'grad_norm': 2.657243013381958, 'learning_rate': 7.736242963722299e-06, 'epoch': 0.07}

 76%|███████▌  | 7555/10000 [19:31:47<5:03:38,  7.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9269716143608093, dino_loss: 0.6484375, depth_loss: 0.10320991277694702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.640625, depth_loss: 0.06242775917053223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7556/10000 [19:31:53<4:44:09,  6.98s/it]
                                                         
{'loss': 1.8859, 'grad_norm': 3.3490488529205322, 'learning_rate': 7.730264263258402e-06, 'epoch': 0.07}

 76%|███████▌  | 7556/10000 [19:31:53<4:44:09,  6.98s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8283530473709106, dino_loss: 0.75, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8129395246505737, dino_loss: 0.0, depth_loss: 0.06414846330881119, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7557/10000 [19:32:01<4:54:02,  7.22s/it]
                                                         
{'loss': 2.0123, 'grad_norm': 3.3370039463043213, 'learning_rate': 7.724287451386833e-06, 'epoch': 0.07}

 76%|███████▌  | 7557/10000 [19:32:01<4:54:02,  7.22s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7723382711410522, dino_loss: 0.6484375, depth_loss: 0.03409380465745926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9820810556411743, dino_loss: 0.67578125, depth_loss: 0.06723621487617493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7558/10000 [19:32:09<5:02:47,  7.44s/it]
                                                         
{'loss': 2.3278, 'grad_norm': 5.003236770629883, 'learning_rate': 7.718312528761223e-06, 'epoch': 0.07}

 76%|███████▌  | 7558/10000 [19:32:09<5:02:47,  7.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8781956434249878, dino_loss: 0.65234375, depth_loss: 0.04811974614858627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.3440149128437042, dino_loss: 0.65234375, depth_loss: 0.039582133293151855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7559/10000 [19:32:16<5:03:51,  7.47s/it]
                                                         
{'loss': 1.8453, 'grad_norm': 2.4092764854431152, 'learning_rate': 7.712339496034956e-06, 'epoch': 0.07}

 76%|███████▌  | 7559/10000 [19:32:16<5:03:51,  7.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7316035032272339, dino_loss: 0.6640625, depth_loss: 0.042168598622083664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7434400320053101, dino_loss: 0.6640625, depth_loss: 0.05816888064146042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7560/10000 [19:32:26<5:30:29,  8.13s/it]
                                                         
{'loss': 1.6682, 'grad_norm': 9.4157133102417, 'learning_rate': 7.706368353861269e-06, 'epoch': 0.07}

 76%|███████▌  | 7560/10000 [19:32:26<5:30:29,  8.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9911777973175049, dino_loss: 0.0, depth_loss: 0.05354299768805504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6800845861434937, dino_loss: 0.6171875, depth_loss: 0.05167997255921364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7561/10000 [19:32:35<5:40:42,  8.38s/it]
                                                         
{'loss': 1.6255, 'grad_norm': 3.425748348236084, 'learning_rate': 7.700399102893128e-06, 'epoch': 0.07}

 76%|███████▌  | 7561/10000 [19:32:35<5:40:42,  8.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8461062908172607, dino_loss: 0.68359375, depth_loss: 0.06411656737327576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0553483963012695, dino_loss: 0.67578125, depth_loss: 0.05564282834529877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7562/10000 [19:32:42<5:22:02,  7.93s/it]
                                                         
{'loss': 2.2846, 'grad_norm': 2.638784885406494, 'learning_rate': 7.69443174378334e-06, 'epoch': 0.07}

 76%|███████▌  | 7562/10000 [19:32:42<5:22:02,  7.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8815957307815552, dino_loss: 0.69921875, depth_loss: 0.0637003481388092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6428976058959961, dino_loss: 0.6328125, depth_loss: 0.036329079419374466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7563/10000 [19:32:52<5:45:57,  8.52s/it]
                                                         
{'loss': 1.7125, 'grad_norm': 3.2500760555267334, 'learning_rate': 7.688466277184469e-06, 'epoch': 0.07}

 76%|███████▌  | 7563/10000 [19:32:52<5:45:57,  8.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9198205471038818, dino_loss: 0.69140625, depth_loss: 0.08022348582744598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8451716899871826, dino_loss: 0.66015625, depth_loss: 0.05544073507189751, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7564/10000 [19:33:00<5:40:43,  8.39s/it]
                                                         
{'loss': 1.6686, 'grad_norm': 3.3887104988098145, 'learning_rate': 7.682502703748907e-06, 'epoch': 0.07}

 76%|███████▌  | 7564/10000 [19:33:00<5:40:43,  8.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6385703682899475, dino_loss: 0.62109375, depth_loss: 0.0508454404771328, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.850377082824707, dino_loss: 0.71875, depth_loss: 0.05896840617060661, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7565/10000 [19:33:10<6:01:47,  8.91s/it]
                                                         
{'loss': 1.8884, 'grad_norm': 4.3760552406311035, 'learning_rate': 7.676541024128798e-06, 'epoch': 0.07}

 76%|███████▌  | 7565/10000 [19:33:10<6:01:47,  8.91s/it]the number of masks: 8
seg_loss: 1.008664846420288, dino_loss: 0.6640625, depth_loss: 0.06795958429574966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9330480694770813, dino_loss: 0.69140625, depth_loss: 0.06850795447826385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7566/10000 [19:33:17<5:37:47,  8.33s/it]
                                                         
{'loss': 2.5746, 'grad_norm': 4.689037322998047, 'learning_rate': 7.67058123897613e-06, 'epoch': 0.07}

 76%|███████▌  | 7566/10000 [19:33:17<5:37:47,  8.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8262278437614441, dino_loss: 0.6796875, depth_loss: 0.06941862404346466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9458012580871582, dino_loss: 0.66796875, depth_loss: 0.0691445991396904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7567/10000 [19:33:25<5:30:42,  8.16s/it]
                                                         
{'loss': 1.9259, 'grad_norm': 5.091569900512695, 'learning_rate': 7.664623348942637e-06, 'epoch': 0.07}

 76%|███████▌  | 7567/10000 [19:33:25<5:30:42,  8.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8466816544532776, dino_loss: 0.6484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9098045825958252, dino_loss: 0.73046875, depth_loss: 0.09245704114437103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7568/10000 [19:33:32<5:14:30,  7.76s/it]
                                                         
{'loss': 1.9656, 'grad_norm': 2.6724281311035156, 'learning_rate': 7.65866735467988e-06, 'epoch': 0.07}

 76%|███████▌  | 7568/10000 [19:33:32<5:14:30,  7.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8641259670257568, dino_loss: 0.78515625, depth_loss: 0.05833672732114792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8706880807876587, dino_loss: 0.7109375, depth_loss: 0.05572722107172012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7569/10000 [19:33:41<5:31:51,  8.19s/it]
                                                         
{'loss': 2.3584, 'grad_norm': 8.891613006591797, 'learning_rate': 7.652713256839181e-06, 'epoch': 0.07}

 76%|███████▌  | 7569/10000 [19:33:41<5:31:51,  8.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 3
seg_loss: 0.7494911551475525, dino_loss: 0.66796875, depth_loss: 0.037196602672338486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9898738861083984, dino_loss: 0.60546875, depth_loss: 0.046499431133270264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7570/10000 [19:33:49<5:35:09,  8.28s/it]
                                                         
{'loss': 2.2143, 'grad_norm': 7.734479904174805, 'learning_rate': 7.646761056071686e-06, 'epoch': 0.07}

 76%|███████▌  | 7570/10000 [19:33:49<5:35:09,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6672841310501099, dino_loss: 0.58203125, depth_loss: 0.05819962918758392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9237966537475586, dino_loss: 0.6875, depth_loss: 0.0624295175075531, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7571/10000 [19:33:58<5:40:58,  8.42s/it]
                                                         
{'loss': 1.7855, 'grad_norm': 3.6209957599639893, 'learning_rate': 7.640810753028296e-06, 'epoch': 0.07}

 76%|███████▌  | 7571/10000 [19:33:58<5:40:58,  8.42s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6126115322113037, dino_loss: 0.6640625, depth_loss: 0.0505765900015831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7184685468673706, dino_loss: 0.72265625, depth_loss: 0.0589844286441803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7572/10000 [19:34:06<5:33:47,  8.25s/it]
                                                         
{'loss': 1.7151, 'grad_norm': 3.7166802883148193, 'learning_rate': 7.634862348359758e-06, 'epoch': 0.07}

 76%|███████▌  | 7572/10000 [19:34:06<5:33:47,  8.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1148812770843506, dino_loss: 0.703125, depth_loss: 0.06776569038629532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1630351543426514, dino_loss: 0.72265625, depth_loss: 0.07548568397760391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7573/10000 [19:34:13<5:18:23,  7.87s/it]
                                                         
{'loss': 2.2922, 'grad_norm': 12.61677074432373, 'learning_rate': 7.628915842716561e-06, 'epoch': 0.07}

 76%|███████▌  | 7573/10000 [19:34:13<5:18:23,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8289765119552612, dino_loss: 0.7109375, depth_loss: 0.062328219413757324, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.818834662437439, dino_loss: 0.6796875, depth_loss: 0.05403771996498108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7574/10000 [19:34:22<5:33:35,  8.25s/it]
                                                         
{'loss': 2.7286, 'grad_norm': 5.61973762512207, 'learning_rate': 7.622971236749013e-06, 'epoch': 0.07}

 76%|███████▌  | 7574/10000 [19:34:22<5:33:35,  8.25s/it]the number of masks: 8
seg_loss: 0.7280829548835754, dino_loss: 0.6328125, depth_loss: 0.06103287637233734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0982437133789062, dino_loss: 0.703125, depth_loss: 0.055110275745391846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7575/10000 [19:34:28<5:09:31,  7.66s/it]
                                                         
{'loss': 2.0669, 'grad_norm': 3.4473557472229004, 'learning_rate': 7.617028531107201e-06, 'epoch': 0.07}

 76%|███████▌  | 7575/10000 [19:34:28<5:09:31,  7.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7260454893112183, dino_loss: 0.640625, depth_loss: 0.052562564611434937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9091755151748657, dino_loss: 0.62109375, depth_loss: 0.05573967844247818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7576/10000 [19:34:37<5:16:58,  7.85s/it]
                                                         
{'loss': 2.2667, 'grad_norm': 4.755101680755615, 'learning_rate': 7.611087726441013e-06, 'epoch': 0.07}

 76%|███████▌  | 7576/10000 [19:34:37<5:16:58,  7.85s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8807003498077393, dino_loss: 0.72265625, depth_loss: 0.08444248884916306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9305270910263062, dino_loss: 0.66015625, depth_loss: 0.026027504354715347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7577/10000 [19:34:44<5:06:12,  7.58s/it]
                                                         
{'loss': 1.9495, 'grad_norm': 3.5610849857330322, 'learning_rate': 7.605148823400135e-06, 'epoch': 0.07}

 76%|███████▌  | 7577/10000 [19:34:44<5:06:12,  7.58s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.06361129879951477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8879275321960449, dino_loss: 0.70703125, depth_loss: 0.06925033032894135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7578/10000 [19:34:50<4:50:30,  7.20s/it]
                                                         
{'loss': 1.2752, 'grad_norm': 2.8892531394958496, 'learning_rate': 7.59921182263402e-06, 'epoch': 0.07}

 76%|███████▌  | 7578/10000 [19:34:50<4:50:30,  7.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8896848559379578, dino_loss: 0.7734375, depth_loss: 0.053055912256240845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.82013338804245, dino_loss: 0.64453125, depth_loss: 0.05898544192314148, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7579/10000 [19:34:57<4:50:43,  7.21s/it]
                                                         
{'loss': 2.0723, 'grad_norm': 4.821445465087891, 'learning_rate': 7.59327672479194e-06, 'epoch': 0.07}

 76%|███████▌  | 7579/10000 [19:34:57<4:50:43,  7.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8888665437698364, dino_loss: 0.6640625, depth_loss: 0.05111081898212433, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.751139223575592, dino_loss: 0.5703125, depth_loss: 0.03452427312731743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7580/10000 [19:35:07<5:24:20,  8.04s/it]
                                                         
{'loss': 1.8253, 'grad_norm': 2.1360416412353516, 'learning_rate': 7.587343530522945e-06, 'epoch': 0.07}

 76%|███████▌  | 7580/10000 [19:35:07<5:24:20,  8.04s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1186139583587646, dino_loss: 0.7109375, depth_loss: 0.05371169000864029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8549849987030029, dino_loss: 0.0, depth_loss: 0.05370950698852539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7581/10000 [19:35:16<5:28:48,  8.16s/it]
                                                         
{'loss': 2.4251, 'grad_norm': 12.110111236572266, 'learning_rate': 7.5814122404758905e-06, 'epoch': 0.07}

 76%|███████▌  | 7581/10000 [19:35:16<5:28:48,  8.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7391419410705566, dino_loss: 0.60546875, depth_loss: 0.04753681272268295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1396701335906982, dino_loss: 0.68359375, depth_loss: 0.060012802481651306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7582/10000 [19:35:25<5:48:23,  8.65s/it]
                                                         
{'loss': 2.5683, 'grad_norm': 4.472696781158447, 'learning_rate': 7.5754828552993955e-06, 'epoch': 0.07}

 76%|███████▌  | 7582/10000 [19:35:25<5:48:23,  8.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8350490927696228, dino_loss: 0.7265625, depth_loss: 0.05594925582408905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7392606735229492, dino_loss: 0.66796875, depth_loss: 0.07139484584331512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7583/10000 [19:35:34<5:45:24,  8.57s/it]
                                                         
{'loss': 2.585, 'grad_norm': 2.1646273136138916, 'learning_rate': 7.5695553756419094e-06, 'epoch': 0.07}

 76%|███████▌  | 7583/10000 [19:35:34<5:45:24,  8.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8551651239395142, dino_loss: 0.67578125, depth_loss: 0.07360613346099854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9951593279838562, dino_loss: 0.69921875, depth_loss: 0.08611254394054413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7584/10000 [19:35:42<5:44:16,  8.55s/it]
                                                         
{'loss': 2.7125, 'grad_norm': 3.9716978073120117, 'learning_rate': 7.5636298021516225e-06, 'epoch': 0.07}

 76%|███████▌  | 7584/10000 [19:35:42<5:44:16,  8.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9636585116386414, dino_loss: 0.6328125, depth_loss: 0.05844568833708763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6635575890541077, dino_loss: 0.625, depth_loss: 0.05314560979604721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7585/10000 [19:35:52<6:02:28,  9.01s/it]
                                                         
{'loss': 1.8944, 'grad_norm': 3.02569580078125, 'learning_rate': 7.5577061354765835e-06, 'epoch': 0.07}

 76%|███████▌  | 7585/10000 [19:35:52<6:02:28,  9.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8915754556655884, dino_loss: 0.640625, depth_loss: 0.07571542263031006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9918303489685059, dino_loss: 0.69921875, depth_loss: 0.062028899788856506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7586/10000 [19:36:01<6:04:03,  9.05s/it]
                                                         
{'loss': 2.1912, 'grad_norm': 2.701047420501709, 'learning_rate': 7.551784376264568e-06, 'epoch': 0.07}

 76%|███████▌  | 7586/10000 [19:36:01<6:04:03,  9.05s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9598705768585205, dino_loss: 0.66796875, depth_loss: 0.053629931062459946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.962677001953125, dino_loss: 0.71484375, depth_loss: 0.06343431025743484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7587/10000 [19:36:09<5:47:03,  8.63s/it]
                                                         
{'loss': 2.4853, 'grad_norm': 2.6985483169555664, 'learning_rate': 7.545864525163188e-06, 'epoch': 0.07}

 76%|███████▌  | 7587/10000 [19:36:09<5:47:03,  8.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7364417314529419, dino_loss: 0.71875, depth_loss: 0.031125342473387718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4659067392349243, dino_loss: 0.71484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7588/10000 [19:36:18<5:45:38,  8.60s/it]
                                                         
{'loss': 2.3009, 'grad_norm': 2.1804471015930176, 'learning_rate': 7.539946582819812e-06, 'epoch': 0.07}

 76%|███████▌  | 7588/10000 [19:36:18<5:45:38,  8.60s/it]the number of masks: 8
seg_loss: 0.833917498588562, dino_loss: 0.63671875, depth_loss: 0.07987900823354721, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9400049448013306, dino_loss: 0.68359375, depth_loss: 0.07584681361913681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7589/10000 [19:36:25<5:27:54,  8.16s/it]
                                                         
{'loss': 2.3492, 'grad_norm': 2.551740884780884, 'learning_rate': 7.534030549881638e-06, 'epoch': 0.07}

 76%|███████▌  | 7589/10000 [19:36:25<5:27:54,  8.16s/it]the number of masks: 8
seg_loss: 0.9710911512374878, dino_loss: 0.6640625, depth_loss: 0.056610267609357834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6721525192260742, dino_loss: 0.67578125, depth_loss: 0.04884101450443268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7590/10000 [19:36:31<5:07:54,  7.67s/it]
                                                         
{'loss': 1.9649, 'grad_norm': 2.0381276607513428, 'learning_rate': 7.528116426995604e-06, 'epoch': 0.07}

 76%|███████▌  | 7590/10000 [19:36:31<5:07:54,  7.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7779468894004822, dino_loss: 0.69921875, depth_loss: 0.059801168739795685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8961880207061768, dino_loss: 0.6171875, depth_loss: 0.05330836772918701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7591/10000 [19:36:40<5:16:24,  7.88s/it]
                                                         
{'loss': 1.855, 'grad_norm': 4.9966511726379395, 'learning_rate': 7.522204214808509e-06, 'epoch': 0.07}

 76%|███████▌  | 7591/10000 [19:36:40<5:16:24,  7.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8076157569885254, dino_loss: 0.63671875, depth_loss: 0.06889330595731735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6323163509368896, dino_loss: 0.59765625, depth_loss: 0.05678679049015045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7592/10000 [19:36:49<5:38:38,  8.44s/it]
                                                         
{'loss': 1.7273, 'grad_norm': 4.533949375152588, 'learning_rate': 7.5162939139668735e-06, 'epoch': 0.07}

 76%|███████▌  | 7592/10000 [19:36:49<5:38:38,  8.44s/it]the number of masks: 8
seg_loss: 0.9028151035308838, dino_loss: 0.5546875, depth_loss: 0.0425148606300354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8894851207733154, dino_loss: 0.6796875, depth_loss: 0.06764836609363556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7593/10000 [19:36:55<5:03:56,  7.58s/it]
                                                         
{'loss': 2.5139, 'grad_norm': 2.996643304824829, 'learning_rate': 7.510385525117058e-06, 'epoch': 0.07}

 76%|███████▌  | 7593/10000 [19:36:55<5:03:56,  7.58s/it]the number of masks: 8
seg_loss: 0.5447654128074646, dino_loss: 0.66796875, depth_loss: 0.10007606446743011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8709217309951782, dino_loss: 0.67578125, depth_loss: 0.058574967086315155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7594/10000 [19:37:00<4:37:47,  6.93s/it]
                                                         
{'loss': 1.8681, 'grad_norm': 4.050113677978516, 'learning_rate': 7.504479048905178e-06, 'epoch': 0.07}

 76%|███████▌  | 7594/10000 [19:37:00<4:37:47,  6.93s/it]seg_loss: 0.0, dino_loss: 0.6875, depth_loss: 0.06118426099419594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.938856303691864, dino_loss: 0.70703125, depth_loss: 0.06360992789268494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7595/10000 [19:37:07<4:32:15,  6.79s/it]
                                                         
{'loss': 2.0977, 'grad_norm': 1.6919054985046387, 'learning_rate': 7.498574485977172e-06, 'epoch': 0.07}

 76%|███████▌  | 7595/10000 [19:37:07<4:32:15,  6.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5562768578529358, dino_loss: 0.69140625, depth_loss: 0.06250962615013123, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6115434169769287, dino_loss: 0.7265625, depth_loss: 0.06010059267282486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7596/10000 [19:37:14<4:42:26,  7.05s/it]
                                                         
{'loss': 2.2746, 'grad_norm': 3.45828914642334, 'learning_rate': 7.49267183697874e-06, 'epoch': 0.07}

 76%|███████▌  | 7596/10000 [19:37:14<4:42:26,  7.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8256615400314331, dino_loss: 0.6484375, depth_loss: 0.04658713936805725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.795932948589325, dino_loss: 0.67578125, depth_loss: 0.07014802098274231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7597/10000 [19:37:23<5:04:10,  7.59s/it]
                                                         
{'loss': 2.1294, 'grad_norm': 2.759734630584717, 'learning_rate': 7.486771102555392e-06, 'epoch': 0.07}

 76%|███████▌  | 7597/10000 [19:37:23<5:04:10,  7.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8061181306838989, dino_loss: 0.6015625, depth_loss: 0.04137926548719406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8830242156982422, dino_loss: 0.62890625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7598/10000 [19:37:32<5:14:00,  7.84s/it]
                                                         
{'loss': 1.9081, 'grad_norm': 2.5824849605560303, 'learning_rate': 7.480872283352428e-06, 'epoch': 0.07}

 76%|███████▌  | 7598/10000 [19:37:32<5:14:00,  7.84s/it]the number of masks: 8
seg_loss: 0.23957277834415436, dino_loss: 0.55859375, depth_loss: 0.05976375937461853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7333741188049316, dino_loss: 0.609375, depth_loss: 0.05259903520345688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7599/10000 [19:37:41<5:29:41,  8.24s/it]
                                                         
{'loss': 2.0622, 'grad_norm': 7.351283073425293, 'learning_rate': 7.47497538001494e-06, 'epoch': 0.07}

 76%|███████▌  | 7599/10000 [19:37:41<5:29:41,  8.24s/it]the number of masks: 8
seg_loss: 0.8575270175933838, dino_loss: 0.703125, depth_loss: 0.05501340702176094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9033135175704956, dino_loss: 0.73046875, depth_loss: 0.0625993013381958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7600/10000 [19:37:48<5:14:23,  7.86s/it]
                                                         
{'loss': 2.8619, 'grad_norm': 5.520235061645508, 'learning_rate': 7.469080393187786e-06, 'epoch': 0.07}

 76%|███████▌  | 7600/10000 [19:37:48<5:14:23,  7.86s/it]the number of masks: 4
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.782362699508667, dino_loss: 0.7265625, depth_loss: 0.06745807826519012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9485200047492981, dino_loss: 0.71875, depth_loss: 0.049681320786476135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7601/10000 [19:37:59<5:56:35,  8.92s/it]
                                                         
{'loss': 2.2958, 'grad_norm': 3.3355939388275146, 'learning_rate': 7.463187323515644e-06, 'epoch': 0.07}

 76%|███████▌  | 7601/10000 [19:37:59<5:56:35,  8.92s/it]the number of masks: 8
seg_loss: 0.6570509672164917, dino_loss: 0.703125, depth_loss: 0.04802815616130829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8572123646736145, dino_loss: 0.640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7602/10000 [19:38:06<5:25:26,  8.14s/it]
                                                         
{'loss': 2.229, 'grad_norm': 3.135758399963379, 'learning_rate': 7.457296171642977e-06, 'epoch': 0.07}

 76%|███████▌  | 7602/10000 [19:38:06<5:25:26,  8.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8522946238517761, dino_loss: 0.65625, depth_loss: 0.04725955054163933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.716278076171875, dino_loss: 0.68359375, depth_loss: 0.07235551625490189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7603/10000 [19:38:16<5:52:21,  8.82s/it]
                                                         
{'loss': 1.8935, 'grad_norm': 2.262542963027954, 'learning_rate': 7.45140693821402e-06, 'epoch': 0.07}

 76%|███████▌  | 7603/10000 [19:38:16<5:52:21,  8.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7736742496490479, dino_loss: 0.6875, depth_loss: 0.06847429275512695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8825081586837769, dino_loss: 0.65625, depth_loss: 0.07579327374696732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7604/10000 [19:38:22<5:18:38,  7.98s/it]
                                                         
{'loss': 1.6799, 'grad_norm': 3.7110908031463623, 'learning_rate': 7.445519623872816e-06, 'epoch': 0.07}

 76%|███████▌  | 7604/10000 [19:38:22<5:18:38,  7.98s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.148818850517273, dino_loss: 0.6796875, depth_loss: 0.07142876088619232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0989696979522705, dino_loss: 0.734375, depth_loss: 0.07405857741832733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7605/10000 [19:38:28<4:53:56,  7.36s/it]
                                                         
{'loss': 2.8883, 'grad_norm': 4.400245189666748, 'learning_rate': 7.4396342292631895e-06, 'epoch': 0.07}

 76%|███████▌  | 7605/10000 [19:38:28<4:53:56,  7.36s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.046511173248291, dino_loss: 0.59765625, depth_loss: 0.061879873275756836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9353690147399902, dino_loss: 0.0, depth_loss: 0.06709451228380203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7606/10000 [19:38:35<4:52:55,  7.34s/it]
                                                         
{'loss': 2.3152, 'grad_norm': 4.015838146209717, 'learning_rate': 7.433750755028773e-06, 'epoch': 0.07}

 76%|███████▌  | 7606/10000 [19:38:35<4:52:55,  7.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8531877994537354, dino_loss: 0.6875, depth_loss: 0.04270288348197937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.849963903427124, dino_loss: 0.75390625, depth_loss: 0.050120141357183456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7607/10000 [19:38:43<4:53:35,  7.36s/it]
                                                         
{'loss': 2.1884, 'grad_norm': 8.741411209106445, 'learning_rate': 7.4278692018129535e-06, 'epoch': 0.07}

 76%|███████▌  | 7607/10000 [19:38:43<4:53:35,  7.36s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.6425224542617798, dino_loss: 0.65234375, depth_loss: 0.04323023557662964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.876718282699585, dino_loss: 0.6171875, depth_loss: 0.061318546533584595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7608/10000 [19:38:51<5:11:01,  7.80s/it]
                                                         
{'loss': 1.7599, 'grad_norm': 3.8026535511016846, 'learning_rate': 7.42198957025895e-06, 'epoch': 0.07}

 76%|███████▌  | 7608/10000 [19:38:51<5:11:01,  7.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7790094614028931, dino_loss: 0.6875, depth_loss: 0.07504544407129288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.979353666305542, dino_loss: 0.66796875, depth_loss: 0.05530799925327301, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7609/10000 [19:39:00<5:20:41,  8.05s/it]
                                                         
{'loss': 1.7088, 'grad_norm': 4.0698981285095215, 'learning_rate': 7.416111861009728e-06, 'epoch': 0.07}

 76%|███████▌  | 7609/10000 [19:39:00<5:20:41,  8.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9171881675720215, dino_loss: 0.640625, depth_loss: 0.05028226971626282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.899909257888794, dino_loss: 0.61328125, depth_loss: 0.0362108089029789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7610/10000 [19:39:10<5:37:34,  8.47s/it]
                                                         
{'loss': 1.9331, 'grad_norm': 4.6660637855529785, 'learning_rate': 7.410236074708077e-06, 'epoch': 0.07}

 76%|███████▌  | 7610/10000 [19:39:10<5:37:34,  8.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9475864171981812, dino_loss: 0.61328125, depth_loss: 0.07118219882249832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7325577735900879, dino_loss: 0.67578125, depth_loss: 0.05828855186700821, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7611/10000 [19:39:17<5:24:25,  8.15s/it]
                                                         
{'loss': 2.2602, 'grad_norm': 3.4654269218444824, 'learning_rate': 7.404362211996563e-06, 'epoch': 0.07}

 76%|███████▌  | 7611/10000 [19:39:17<5:24:25,  8.15s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7013375163078308, dino_loss: 0.69140625, depth_loss: 0.061024222522974014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7860867977142334, dino_loss: 0.6953125, depth_loss: 0.08351108431816101, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7612/10000 [19:39:25<5:19:26,  8.03s/it]
                                                         
{'loss': 2.4266, 'grad_norm': 3.262725591659546, 'learning_rate': 7.3984902735175525e-06, 'epoch': 0.07}

 76%|███████▌  | 7612/10000 [19:39:25<5:19:26,  8.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9252898097038269, dino_loss: 0.640625, depth_loss: 0.07036374509334564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8056304454803467, dino_loss: 0.625, depth_loss: 0.0438239648938179, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7613/10000 [19:39:34<5:35:35,  8.44s/it]
                                                         
{'loss': 2.6279, 'grad_norm': 4.226849555969238, 'learning_rate': 7.392620259913172e-06, 'epoch': 0.07}

 76%|███████▌  | 7613/10000 [19:39:34<5:35:35,  8.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8199542164802551, dino_loss: 0.703125, depth_loss: 0.060133304446935654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6597422957420349, dino_loss: 0.68359375, depth_loss: 0.06621789932250977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7614/10000 [19:39:42<5:23:48,  8.14s/it]
                                                         
{'loss': 2.3444, 'grad_norm': 5.505962371826172, 'learning_rate': 7.3867521718253756e-06, 'epoch': 0.07}

 76%|███████▌  | 7614/10000 [19:39:42<5:23:48,  8.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8292436599731445, dino_loss: 0.69140625, depth_loss: 0.05405410751700401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7077160477638245, dino_loss: 0.66796875, depth_loss: 0.05462759733200073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7615/10000 [19:39:49<5:17:16,  7.98s/it]
                                                         
{'loss': 2.5008, 'grad_norm': 5.794689655303955, 'learning_rate': 7.380886009895874e-06, 'epoch': 0.07}

 76%|███████▌  | 7615/10000 [19:39:49<5:17:16,  7.98s/it]the number of masks: 8
seg_loss: 1.0777639150619507, dino_loss: 0.69921875, depth_loss: 0.05946303904056549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7789204120635986, dino_loss: 0.6171875, depth_loss: 0.05349430814385414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7616/10000 [19:39:57<5:11:02,  7.83s/it]
                                                         
{'loss': 2.4335, 'grad_norm': 5.936093330383301, 'learning_rate': 7.375021774766189e-06, 'epoch': 0.07}

 76%|███████▌  | 7616/10000 [19:39:57<5:11:02,  7.83s/it]the number of masks: 8
seg_loss: 0.9916192293167114, dino_loss: 0.68359375, depth_loss: 0.059337202459573746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8246203660964966, dino_loss: 0.67578125, depth_loss: 0.07878105342388153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7617/10000 [19:40:03<4:51:43,  7.35s/it]
                                                         
{'loss': 2.4476, 'grad_norm': 6.221467018127441, 'learning_rate': 7.369159467077621e-06, 'epoch': 0.07}

 76%|███████▌  | 7617/10000 [19:40:03<4:51:43,  7.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8544000387191772, dino_loss: 0.66796875, depth_loss: 0.06861796230077744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8885930776596069, dino_loss: 0.7109375, depth_loss: 0.05655747652053833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7618/10000 [19:40:13<5:29:28,  8.30s/it]
                                                         
{'loss': 2.4175, 'grad_norm': 4.056873321533203, 'learning_rate': 7.363299087471276e-06, 'epoch': 0.07}

 76%|███████▌  | 7618/10000 [19:40:13<5:29:28,  8.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8426450490951538, dino_loss: 0.66796875, depth_loss: 0.05871554836630821, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.747695803642273, dino_loss: 0.7890625, depth_loss: 0.06048697978258133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7619/10000 [19:40:22<5:29:42,  8.31s/it]
                                                         
{'loss': 1.9798, 'grad_norm': 4.476462364196777, 'learning_rate': 7.3574406365880176e-06, 'epoch': 0.07}

 76%|███████▌  | 7619/10000 [19:40:22<5:29:42,  8.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8220562934875488, dino_loss: 0.73828125, depth_loss: 0.06169165298342705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.004725456237793, dino_loss: 0.75390625, depth_loss: 0.05710446834564209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7620/10000 [19:40:31<5:45:43,  8.72s/it]
                                                         
{'loss': 2.8111, 'grad_norm': 3.008125066757202, 'learning_rate': 7.351584115068535e-06, 'epoch': 0.07}

 76%|███████▌  | 7620/10000 [19:40:31<5:45:43,  8.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.675597071647644, dino_loss: 0.70703125, depth_loss: 0.08086688816547394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9724311828613281, dino_loss: 0.703125, depth_loss: 0.06863316893577576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7621/10000 [19:40:42<6:05:23,  9.22s/it]
                                                         
{'loss': 2.1475, 'grad_norm': 3.7606968879699707, 'learning_rate': 7.345729523553271e-06, 'epoch': 0.07}

 76%|███████▌  | 7621/10000 [19:40:42<6:05:23,  9.22s/it]the number of masks: 8
seg_loss: 0.9469430446624756, dino_loss: 0.69921875, depth_loss: 0.046927310526371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0017322301864624, dino_loss: 0.67578125, depth_loss: 0.05373010039329529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7622/10000 [19:40:48<5:27:08,  8.25s/it]
                                                         
{'loss': 2.7369, 'grad_norm': 5.504679203033447, 'learning_rate': 7.339876862682482e-06, 'epoch': 0.07}

 76%|███████▌  | 7622/10000 [19:40:48<5:27:08,  8.25s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9881110191345215, dino_loss: 0.671875, depth_loss: 0.050160303711891174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8871355056762695, dino_loss: 0.703125, depth_loss: 0.06913985311985016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7623/10000 [19:40:56<5:31:03,  8.36s/it]
                                                         
{'loss': 2.3458, 'grad_norm': 3.266446113586426, 'learning_rate': 7.334026133096211e-06, 'epoch': 0.07}

 76%|███████▌  | 7623/10000 [19:40:56<5:31:03,  8.36s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9024928212165833, dino_loss: 0.6640625, depth_loss: 0.07934534549713135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8656756281852722, dino_loss: 0.6953125, depth_loss: 0.05101705715060234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▌  | 7624/10000 [19:41:05<5:33:41,  8.43s/it]
                                                         
{'loss': 2.3749, 'grad_norm': 3.5694165229797363, 'learning_rate': 7.328177335434288e-06, 'epoch': 0.07}

 76%|███████▌  | 7624/10000 [19:41:05<5:33:41,  8.43s/it]seg_loss: 0.0, dino_loss: 0.6875, depth_loss: 0.05698312446475029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7208413481712341, dino_loss: 0.5859375, depth_loss: 0.06385031342506409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7625/10000 [19:41:11<5:05:37,  7.72s/it]
                                                         
{'loss': 1.6195, 'grad_norm': 2.1182138919830322, 'learning_rate': 7.3223304703363135e-06, 'epoch': 0.07}

 76%|███████▋  | 7625/10000 [19:41:11<5:05:37,  7.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9877897500991821, dino_loss: 0.71484375, depth_loss: 0.07599811255931854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9654642343521118, dino_loss: 0.72265625, depth_loss: 0.06607404351234436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7626/10000 [19:41:18<4:55:39,  7.47s/it]
                                                         
{'loss': 2.5408, 'grad_norm': 4.4752092361450195, 'learning_rate': 7.316485538441703e-06, 'epoch': 0.07}

 76%|███████▋  | 7626/10000 [19:41:18<4:55:39,  7.47s/it]the number of masks: 8
seg_loss: 0.7317219376564026, dino_loss: 0.72265625, depth_loss: 0.07943235337734222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8214809894561768, dino_loss: 0.625, depth_loss: 0.05916370451450348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7627/10000 [19:41:26<5:04:40,  7.70s/it]
                                                         
{'loss': 2.1445, 'grad_norm': 8.55904769897461, 'learning_rate': 7.3106425403896535e-06, 'epoch': 0.07}

 76%|███████▋  | 7627/10000 [19:41:26<5:04:40,  7.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6623079776763916, dino_loss: 0.640625, depth_loss: 0.061221566051244736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8907016515731812, dino_loss: 0.6640625, depth_loss: 0.08870254456996918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7628/10000 [19:41:36<5:30:00,  8.35s/it]
                                                         
{'loss': 2.2703, 'grad_norm': 3.181638479232788, 'learning_rate': 7.3048014768191315e-06, 'epoch': 0.07}

 76%|███████▋  | 7628/10000 [19:41:36<5:30:00,  8.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8846561908721924, dino_loss: 0.65234375, depth_loss: 0.08725138008594513, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8445146083831787, dino_loss: 0.6953125, depth_loss: 0.05505268648266792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7629/10000 [19:41:47<6:00:02,  9.11s/it]
                                                         
{'loss': 2.1137, 'grad_norm': 6.182497501373291, 'learning_rate': 7.298962348368918e-06, 'epoch': 0.07}

 76%|███████▋  | 7629/10000 [19:41:47<6:00:02,  9.11s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7655657529830933, dino_loss: 0.72265625, depth_loss: 0.07681723684072495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7512848377227783, dino_loss: 0.70703125, depth_loss: 0.06212371587753296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7630/10000 [19:41:54<5:35:30,  8.49s/it]
                                                         
{'loss': 2.203, 'grad_norm': 3.1190690994262695, 'learning_rate': 7.293125155677566e-06, 'epoch': 0.07}

 76%|███████▋  | 7630/10000 [19:41:54<5:35:30,  8.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7968249320983887, dino_loss: 0.703125, depth_loss: 0.06274130195379257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1316189765930176, dino_loss: 0.6875, depth_loss: 0.059470195323228836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7631/10000 [19:42:02<5:33:36,  8.45s/it]
                                                         
{'loss': 2.6058, 'grad_norm': 4.3626508712768555, 'learning_rate': 7.287289899383437e-06, 'epoch': 0.07}

 76%|███████▋  | 7631/10000 [19:42:02<5:33:36,  8.45s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6844661235809326, dino_loss: 0.79296875, depth_loss: 0.06866355240345001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.49100539088249207, dino_loss: 0.62890625, depth_loss: 0.052477914839982986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7632/10000 [19:42:09<5:16:41,  8.02s/it]
                                                         
{'loss': 2.218, 'grad_norm': 6.239588260650635, 'learning_rate': 7.2814565801246436e-06, 'epoch': 0.07}

 76%|███████▋  | 7632/10000 [19:42:09<5:16:41,  8.02s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8895395994186401, dino_loss: 0.62890625, depth_loss: 0.058005016297101974, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7613401412963867, dino_loss: 0.66796875, depth_loss: 0.04938388988375664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7633/10000 [19:42:19<5:38:03,  8.57s/it]
                                                         
{'loss': 2.4853, 'grad_norm': 2.236968994140625, 'learning_rate': 7.275625198539127e-06, 'epoch': 0.07}

 76%|███████▋  | 7633/10000 [19:42:19<5:38:03,  8.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8277825713157654, dino_loss: 0.703125, depth_loss: 0.0588952898979187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8581106066703796, dino_loss: 0.796875, depth_loss: 0.05192573741078377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7634/10000 [19:42:28<5:38:23,  8.58s/it]
                                                         
{'loss': 2.6883, 'grad_norm': 6.035521507263184, 'learning_rate': 7.269795755264583e-06, 'epoch': 0.07}

 76%|███████▋  | 7634/10000 [19:42:28<5:38:23,  8.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8090386390686035, dino_loss: 0.66015625, depth_loss: 0.039446137845516205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7686747312545776, dino_loss: 0.59765625, depth_loss: 0.05837767571210861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7635/10000 [19:42:36<5:39:28,  8.61s/it]
                                                         
{'loss': 2.1071, 'grad_norm': 2.3262479305267334, 'learning_rate': 7.263968250938516e-06, 'epoch': 0.07}

 76%|███████▋  | 7635/10000 [19:42:36<5:39:28,  8.61s/it]the number of masks: 8
seg_loss: 0.7479140758514404, dino_loss: 0.76953125, depth_loss: 0.05913335084915161, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9652459025382996, dino_loss: 0.7109375, depth_loss: 0.06943270564079285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7636/10000 [19:42:43<5:19:39,  8.11s/it]
                                                         
{'loss': 1.7398, 'grad_norm': 4.182136535644531, 'learning_rate': 7.2581426861982185e-06, 'epoch': 0.07}

 76%|███████▋  | 7636/10000 [19:42:43<5:19:39,  8.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7061275839805603, dino_loss: 0.8046875, depth_loss: 0.07034658640623093, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.865139365196228, dino_loss: 0.69140625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7637/10000 [19:42:53<5:32:15,  8.44s/it]
                                                         
{'loss': 2.3822, 'grad_norm': 4.500576972961426, 'learning_rate': 7.252319061680771e-06, 'epoch': 0.07}

 76%|███████▋  | 7637/10000 [19:42:53<5:32:15,  8.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8163215517997742, dino_loss: 0.67578125, depth_loss: 0.060090817511081696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5901806354522705, dino_loss: 0.69140625, depth_loss: 0.06545045226812363, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7638/10000 [19:42:59<5:13:34,  7.97s/it]
                                                         
{'loss': 1.891, 'grad_norm': 5.318515777587891, 'learning_rate': 7.246497378023018e-06, 'epoch': 0.07}

 76%|███████▋  | 7638/10000 [19:42:59<5:13:34,  7.97s/it]the number of masks: 8
seg_loss: 0.9336413145065308, dino_loss: 0.671875, depth_loss: 0.05762128531932831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7765856981277466, dino_loss: 0.63671875, depth_loss: 0.05684496834874153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7639/10000 [19:43:05<4:41:44,  7.16s/it]
                                                         
{'loss': 2.2039, 'grad_norm': 7.942811012268066, 'learning_rate': 7.240677635861626e-06, 'epoch': 0.07}

 76%|███████▋  | 7639/10000 [19:43:05<4:41:44,  7.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8954753875732422, dino_loss: 0.515625, depth_loss: 0.08436881005764008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9149917364120483, dino_loss: 0.7109375, depth_loss: 0.0800858587026596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7640/10000 [19:43:13<4:58:52,  7.60s/it]
                                                         
{'loss': 2.4994, 'grad_norm': 2.146995782852173, 'learning_rate': 7.234859835833021e-06, 'epoch': 0.07}

 76%|███████▋  | 7640/10000 [19:43:13<4:58:52,  7.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8861173391342163, dino_loss: 0.71484375, depth_loss: 0.07639862596988678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9081017374992371, dino_loss: 0.6875, depth_loss: 0.06982006132602692, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7641/10000 [19:43:22<5:05:18,  7.77s/it]
                                                         
{'loss': 2.239, 'grad_norm': 7.736475944519043, 'learning_rate': 7.229043978573435e-06, 'epoch': 0.07}

 76%|███████▋  | 7641/10000 [19:43:22<5:05:18,  7.77s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0657517910003662, dino_loss: 0.6328125, depth_loss: 0.0616438202559948, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8646243214607239, dino_loss: 0.69140625, depth_loss: 0.04839659482240677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7642/10000 [19:43:29<4:56:46,  7.55s/it]
                                                         
{'loss': 2.3225, 'grad_norm': 7.48446798324585, 'learning_rate': 7.223230064718881e-06, 'epoch': 0.07}

 76%|███████▋  | 7642/10000 [19:43:29<4:56:46,  7.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7653438448905945, dino_loss: 0.75390625, depth_loss: 0.05889814719557762, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7799043655395508, dino_loss: 0.69140625, depth_loss: 0.05982264131307602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7643/10000 [19:43:37<5:01:49,  7.68s/it]
                                                         
{'loss': 2.3057, 'grad_norm': 3.4796934127807617, 'learning_rate': 7.217418094905168e-06, 'epoch': 0.07}

 76%|███████▋  | 7643/10000 [19:43:37<5:01:49,  7.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7294374704360962, dino_loss: 0.6171875, depth_loss: 0.049292247742414474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8500878214836121, dino_loss: 0.66015625, depth_loss: 0.06383635103702545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7644/10000 [19:43:45<5:06:07,  7.80s/it]
                                                         
{'loss': 1.942, 'grad_norm': 3.46486496925354, 'learning_rate': 7.211608069767867e-06, 'epoch': 0.07}

 76%|███████▋  | 7644/10000 [19:43:45<5:06:07,  7.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9212135076522827, dino_loss: 0.62890625, depth_loss: 0.05335672199726105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9031028747558594, dino_loss: 0.64453125, depth_loss: 0.04497058317065239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7645/10000 [19:43:53<5:08:33,  7.86s/it]
                                                         
{'loss': 2.1605, 'grad_norm': 4.764324188232422, 'learning_rate': 7.205799989942372e-06, 'epoch': 0.07}

 76%|███████▋  | 7645/10000 [19:43:53<5:08:33,  7.86s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8020237684249878, dino_loss: 0.67578125, depth_loss: 0.09476390480995178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6980869770050049, dino_loss: 0.65625, depth_loss: 0.05886320769786835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7646/10000 [19:44:01<5:16:13,  8.06s/it]
                                                         
{'loss': 2.2958, 'grad_norm': 5.306154251098633, 'learning_rate': 7.19999385606383e-06, 'epoch': 0.07}

 76%|███████▋  | 7646/10000 [19:44:01<5:16:13,  8.06s/it]the number of masks: 8
seg_loss: 0.4667450189590454, dino_loss: 0.68359375, depth_loss: 0.02881029061973095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9143385291099548, dino_loss: 0.6796875, depth_loss: 0.06159404665231705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7647/10000 [19:44:08<5:06:45,  7.82s/it]
                                                         
{'loss': 1.9159, 'grad_norm': 4.6619768142700195, 'learning_rate': 7.194189668767198e-06, 'epoch': 0.07}

 76%|███████▋  | 7647/10000 [19:44:08<5:06:45,  7.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7108485102653503, dino_loss: 0.66796875, depth_loss: 0.07667839527130127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7933379411697388, dino_loss: 0.71875, depth_loss: 0.07284775376319885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7648/10000 [19:44:16<5:04:42,  7.77s/it]
                                                         
{'loss': 2.498, 'grad_norm': 5.802986145019531, 'learning_rate': 7.1883874286872124e-06, 'epoch': 0.07}

 76%|███████▋  | 7648/10000 [19:44:16<5:04:42,  7.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9247392416000366, dino_loss: 0.6875, depth_loss: 0.05783010274171829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1538630723953247, dino_loss: 0.6640625, depth_loss: 0.033881332725286484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7649/10000 [19:44:24<5:11:18,  7.94s/it]
                                                         
{'loss': 2.1657, 'grad_norm': 5.882802963256836, 'learning_rate': 7.1825871364584045e-06, 'epoch': 0.07}

 76%|███████▋  | 7649/10000 [19:44:24<5:11:18,  7.94s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.057902216911316, dino_loss: 0.6484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9420406818389893, dino_loss: 0.734375, depth_loss: 0.04846009239554405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 76%|███████▋  | 7650/10000 [19:44:32<5:01:26,  7.70s/it]
                                                         
{'loss': 2.391, 'grad_norm': 5.59812593460083, 'learning_rate': 7.176788792715075e-06, 'epoch': 0.07}

 76%|███████▋  | 7650/10000 [19:44:32<5:01:26,  7.70s/it]the number of masks: 8
seg_loss: 0.9323559403419495, dino_loss: 0.64453125, depth_loss: 0.04401412233710289, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7790946364402771, dino_loss: 0.6875, depth_loss: 0.0642814040184021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7651/10000 [19:44:40<5:10:47,  7.94s/it]
                                                         
{'loss': 1.7689, 'grad_norm': 6.378588676452637, 'learning_rate': 7.170992398091325e-06, 'epoch': 0.07}

 77%|███████▋  | 7651/10000 [19:44:40<5:10:47,  7.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8128654360771179, dino_loss: 0.69921875, depth_loss: 0.06164100021123886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6039022207260132, dino_loss: 0.69921875, depth_loss: 0.042921699583530426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7652/10000 [19:44:49<5:19:19,  8.16s/it]
                                                         
{'loss': 1.8838, 'grad_norm': 3.113678455352783, 'learning_rate': 7.165197953221048e-06, 'epoch': 0.07}

 77%|███████▋  | 7652/10000 [19:44:49<5:19:19,  8.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8956001996994019, dino_loss: 0.65234375, depth_loss: 0.05829060822725296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6648318767547607, dino_loss: 0.6875, depth_loss: 0.05590615049004555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7653/10000 [19:44:59<5:38:07,  8.64s/it]
                                                         
{'loss': 2.3407, 'grad_norm': 4.887275218963623, 'learning_rate': 7.1594054587379e-06, 'epoch': 0.07}

 77%|███████▋  | 7653/10000 [19:44:59<5:38:07,  8.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8076914548873901, dino_loss: 0.65234375, depth_loss: 0.05293305218219757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6343308091163635, dino_loss: 0.62890625, depth_loss: 0.05605843663215637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7654/10000 [19:45:07<5:34:13,  8.55s/it]
                                                         
{'loss': 1.8037, 'grad_norm': 8.33064079284668, 'learning_rate': 7.1536149152753505e-06, 'epoch': 0.07}

 77%|███████▋  | 7654/10000 [19:45:07<5:34:13,  8.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9217502474784851, dino_loss: 0.69921875, depth_loss: 0.052084874361753464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9591250419616699, dino_loss: 0.671875, depth_loss: 0.057560842484235764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7655/10000 [19:45:16<5:45:03,  8.83s/it]
                                                         
{'loss': 2.3519, 'grad_norm': 3.8997435569763184, 'learning_rate': 7.147826323466638e-06, 'epoch': 0.07}

 77%|███████▋  | 7655/10000 [19:45:16<5:45:03,  8.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9820206165313721, dino_loss: 0.765625, depth_loss: 0.05517343431711197, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.71484375, depth_loss: 0.0567537397146225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7656/10000 [19:45:24<5:31:15,  8.48s/it]
                                                         
{'loss': 2.356, 'grad_norm': 3.807644844055176, 'learning_rate': 7.14203968394481e-06, 'epoch': 0.07}

 77%|███████▋  | 7656/10000 [19:45:24<5:31:15,  8.48s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9657483100891113, dino_loss: 0.6875, depth_loss: 0.059069979935884476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9229905605316162, dino_loss: 0.67578125, depth_loss: 0.06304983794689178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7657/10000 [19:45:34<5:50:14,  8.97s/it]
                                                         
{'loss': 2.5311, 'grad_norm': 19.395570755004883, 'learning_rate': 7.1362549973426645e-06, 'epoch': 0.07}

 77%|███████▋  | 7657/10000 [19:45:34<5:50:14,  8.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8943108916282654, dino_loss: 0.75, depth_loss: 0.06203354895114899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8588026762008667, dino_loss: 0.6875, depth_loss: 0.06172836944460869, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7658/10000 [19:45:42<5:37:06,  8.64s/it]
                                                         
{'loss': 2.5894, 'grad_norm': 4.717878341674805, 'learning_rate': 7.130472264292823e-06, 'epoch': 0.07}

 77%|███████▋  | 7658/10000 [19:45:42<5:37:06,  8.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7856355905532837, dino_loss: 0.59765625, depth_loss: 0.05380278453230858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8304579257965088, dino_loss: 0.640625, depth_loss: 0.041872866451740265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7659/10000 [19:45:49<5:13:00,  8.02s/it]
                                                         
{'loss': 2.163, 'grad_norm': 4.4578680992126465, 'learning_rate': 7.124691485427659e-06, 'epoch': 0.07}

 77%|███████▋  | 7659/10000 [19:45:49<5:13:00,  8.02s/it]the number of masks: 6
seg_loss: 0.8461117744445801, dino_loss: 0.6328125, depth_loss: 0.053055647760629654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7627124786376953, dino_loss: 0.7265625, depth_loss: 0.06414967775344849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7660/10000 [19:45:56<5:05:48,  7.84s/it]
                                                         
{'loss': 2.349, 'grad_norm': 4.087946891784668, 'learning_rate': 7.118912661379368e-06, 'epoch': 0.07}

 77%|███████▋  | 7660/10000 [19:45:56<5:05:48,  7.84s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7948538064956665, dino_loss: 0.6171875, depth_loss: 0.06482423096895218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8689643740653992, dino_loss: 0.61328125, depth_loss: 0.047713205218315125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7661/10000 [19:46:03<4:50:52,  7.46s/it]
                                                         
{'loss': 2.0496, 'grad_norm': 4.008911609649658, 'learning_rate': 7.11313579277989e-06, 'epoch': 0.07}

 77%|███████▋  | 7661/10000 [19:46:03<4:50:52,  7.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5919722318649292, dino_loss: 0.7265625, depth_loss: 0.06585156917572021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7513110041618347, dino_loss: 0.78515625, depth_loss: 0.0661604180932045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7662/10000 [19:46:11<5:05:18,  7.84s/it]
                                                         
{'loss': 2.54, 'grad_norm': 3.3425800800323486, 'learning_rate': 7.107360880261002e-06, 'epoch': 0.07}

 77%|███████▋  | 7662/10000 [19:46:11<5:05:18,  7.84s/it]the number of masks: 8
seg_loss: 0.9914758801460266, dino_loss: 0.6875, depth_loss: 0.0718182846903801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.900230884552002, dino_loss: 0.671875, depth_loss: 0.06510210037231445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7663/10000 [19:46:18<4:55:44,  7.59s/it]
                                                         
{'loss': 2.0425, 'grad_norm': 6.082515716552734, 'learning_rate': 7.10158792445422e-06, 'epoch': 0.07}

 77%|███████▋  | 7663/10000 [19:46:18<4:55:44,  7.59s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8531850576400757, dino_loss: 0.0, depth_loss: 0.04955372214317322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9014447927474976, dino_loss: 0.6953125, depth_loss: 0.06312389671802521, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7664/10000 [19:46:26<4:55:14,  7.58s/it]
                                                         
{'loss': 2.1996, 'grad_norm': 5.165694236755371, 'learning_rate': 7.0958169259908805e-06, 'epoch': 0.07}

 77%|███████▋  | 7664/10000 [19:46:26<4:55:14,  7.58s/it]the number of masks: 8
seg_loss: 1.014390468597412, dino_loss: 0.703125, depth_loss: 0.07256120443344116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.671875, depth_loss: 0.06274329125881195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7665/10000 [19:46:30<4:16:37,  6.59s/it]
                                                         
{'loss': 2.192, 'grad_norm': 6.638978004455566, 'learning_rate': 7.090047885502077e-06, 'epoch': 0.07}

 77%|███████▋  | 7665/10000 [19:46:30<4:16:37,  6.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.725566029548645, dino_loss: 0.640625, depth_loss: 0.03965199366211891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8854781985282898, dino_loss: 0.65625, depth_loss: 0.061880920082330704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7666/10000 [19:46:41<5:04:20,  7.82s/it]
                                                         
{'loss': 2.2869, 'grad_norm': 4.162412166595459, 'learning_rate': 7.084280803618718e-06, 'epoch': 0.07}

 77%|███████▋  | 7666/10000 [19:46:41<5:04:20,  7.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0237939357757568, dino_loss: 0.61328125, depth_loss: 0.048369213938713074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8257054090499878, dino_loss: 0.69140625, depth_loss: 0.053783442825078964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7667/10000 [19:46:49<5:10:49,  7.99s/it]
                                                         
{'loss': 2.4708, 'grad_norm': 4.14676570892334, 'learning_rate': 7.078515680971456e-06, 'epoch': 0.07}

 77%|███████▋  | 7667/10000 [19:46:49<5:10:49,  7.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.895595908164978, dino_loss: 0.67578125, depth_loss: 0.07913152873516083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5567758679389954, dino_loss: 0.6171875, depth_loss: 0.047031089663505554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7668/10000 [19:46:59<5:32:53,  8.56s/it]
                                                         
{'loss': 2.3111, 'grad_norm': 2.9258360862731934, 'learning_rate': 7.072752518190792e-06, 'epoch': 0.07}

 77%|███████▋  | 7668/10000 [19:46:59<5:32:53,  8.56s/it]the number of masks: 8
seg_loss: 0.6909632086753845, dino_loss: 0.64453125, depth_loss: 0.05286654829978943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2212533950805664, dino_loss: 0.6953125, depth_loss: 0.07685040682554245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7669/10000 [19:47:07<5:20:46,  8.26s/it]
                                                         
{'loss': 2.2532, 'grad_norm': 4.7684125900268555, 'learning_rate': 7.066991315906951e-06, 'epoch': 0.07}

 77%|███████▋  | 7669/10000 [19:47:07<5:20:46,  8.26s/it]the number of masks: 8
seg_loss: 0.9411158561706543, dino_loss: 0.59375, depth_loss: 0.02885008603334427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 1
the number of masks: 8
seg_loss: 0.8000500798225403, dino_loss: 0.66015625, depth_loss: 0.052783600986003876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7670/10000 [19:47:13<5:01:03,  7.75s/it]
                                                         
{'loss': 2.1589, 'grad_norm': 6.74441385269165, 'learning_rate': 7.061232074749985e-06, 'epoch': 0.07}

 77%|███████▋  | 7670/10000 [19:47:13<5:01:03,  7.75s/it]the number of masks: 8
seg_loss: 0.9831533432006836, dino_loss: 0.65625, depth_loss: 0.04671069607138634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8852331638336182, dino_loss: 0.6328125, depth_loss: 0.05527676269412041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7671/10000 [19:47:19<4:43:34,  7.31s/it]
                                                         
{'loss': 2.0278, 'grad_norm': 4.398915767669678, 'learning_rate': 7.055474795349703e-06, 'epoch': 0.07}

 77%|███████▋  | 7671/10000 [19:47:19<4:43:34,  7.31s/it]the number of masks: 8
seg_loss: 1.000957727432251, dino_loss: 0.69140625, depth_loss: 0.08355778455734253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.831894040107727, dino_loss: 0.58984375, depth_loss: 0.031247729435563087, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7672/10000 [19:47:27<4:51:41,  7.52s/it]
                                                         
{'loss': 2.0313, 'grad_norm': 5.578095436096191, 'learning_rate': 7.0497194783357174e-06, 'epoch': 0.07}

 77%|███████▋  | 7672/10000 [19:47:27<4:51:41,  7.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7552770972251892, dino_loss: 0.60546875, depth_loss: 0.04177846387028694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0539648532867432, dino_loss: 0.67578125, depth_loss: 0.07527757436037064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7673/10000 [19:47:37<5:14:16,  8.10s/it]
                                                         
{'loss': 2.0016, 'grad_norm': 4.228109359741211, 'learning_rate': 7.04396612433742e-06, 'epoch': 0.07}

 77%|███████▋  | 7673/10000 [19:47:37<5:14:16,  8.10s/it]the number of masks: 8
seg_loss: 0.9615015387535095, dino_loss: 0.72265625, depth_loss: 0.05754151940345764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6353901028633118, dino_loss: 0.498046875, depth_loss: 0.04168305918574333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7674/10000 [19:47:45<5:08:21,  7.95s/it]
                                                         
{'loss': 2.0927, 'grad_norm': 3.953399896621704, 'learning_rate': 7.038214733984e-06, 'epoch': 0.07}

 77%|███████▋  | 7674/10000 [19:47:45<5:08:21,  7.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8361913561820984, dino_loss: 0.68359375, depth_loss: 0.06399545073509216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8364303112030029, dino_loss: 0.60546875, depth_loss: 0.057062603533267975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7675/10000 [19:47:52<5:02:52,  7.82s/it]
                                                         
{'loss': 1.5946, 'grad_norm': 8.853546142578125, 'learning_rate': 7.032465307904404e-06, 'epoch': 0.07}

 77%|███████▋  | 7675/10000 [19:47:52<5:02:52,  7.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9258208870887756, dino_loss: 0.671875, depth_loss: 0.07554702460765839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6671425700187683, dino_loss: 0.70703125, depth_loss: 0.06272521615028381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7676/10000 [19:47:58<4:43:28,  7.32s/it]
                                                         
{'loss': 1.971, 'grad_norm': 5.574638366699219, 'learning_rate': 7.0267178467273876e-06, 'epoch': 0.07}

 77%|███████▋  | 7676/10000 [19:47:58<4:43:28,  7.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9398115873336792, dino_loss: 0.69140625, depth_loss: 0.09050091356039047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9670639634132385, dino_loss: 0.6796875, depth_loss: 0.0692540854215622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7677/10000 [19:48:06<4:49:20,  7.47s/it]
                                                         
{'loss': 2.4444, 'grad_norm': 2.3280749320983887, 'learning_rate': 7.020972351081493e-06, 'epoch': 0.07}

 77%|███████▋  | 7677/10000 [19:48:06<4:49:20,  7.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7891528606414795, dino_loss: 0.6875, depth_loss: 0.056225135922431946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6938097476959229, dino_loss: 0.6953125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7678/10000 [19:48:12<4:34:44,  7.10s/it]
                                                         
{'loss': 2.3966, 'grad_norm': 6.937954425811768, 'learning_rate': 7.015228821595024e-06, 'epoch': 0.07}

 77%|███████▋  | 7678/10000 [19:48:12<4:34:44,  7.10s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8489174842834473, dino_loss: 0.64453125, depth_loss: 0.04187283292412758, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6718332767486572, dino_loss: 0.70703125, depth_loss: 0.053409136831760406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7679/10000 [19:48:19<4:35:36,  7.12s/it]
                                                         
{'loss': 2.2509, 'grad_norm': 6.55820369720459, 'learning_rate': 7.009487258896097e-06, 'epoch': 0.07}

 77%|███████▋  | 7679/10000 [19:48:19<4:35:36,  7.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8975204229354858, dino_loss: 0.65234375, depth_loss: 0.10410086810588837, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8857319355010986, dino_loss: 0.69921875, depth_loss: 0.07767021656036377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7680/10000 [19:48:26<4:32:08,  7.04s/it]
                                                         
{'loss': 2.1725, 'grad_norm': 2.45489764213562, 'learning_rate': 7.003747663612581e-06, 'epoch': 0.07}

 77%|███████▋  | 7680/10000 [19:48:26<4:32:08,  7.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7473585605621338, dino_loss: 0.57421875, depth_loss: 0.03813861310482025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7667518854141235, dino_loss: 0.703125, depth_loss: 0.027509665116667747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7681/10000 [19:48:36<4:59:56,  7.76s/it]
                                                         
{'loss': 2.0382, 'grad_norm': 8.095876693725586, 'learning_rate': 6.99801003637218e-06, 'epoch': 0.07}

 77%|███████▋  | 7681/10000 [19:48:36<4:59:56,  7.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.897639274597168, dino_loss: 0.671875, depth_loss: 0.06772775202989578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8439757823944092, dino_loss: 0.8125, depth_loss: 0.07058706134557724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7682/10000 [19:48:45<5:14:47,  8.15s/it]
                                                         
{'loss': 2.1451, 'grad_norm': 3.713296890258789, 'learning_rate': 6.992274377802327e-06, 'epoch': 0.07}

 77%|███████▋  | 7682/10000 [19:48:45<5:14:47,  8.15s/it]the number of masks: 8
seg_loss: 1.067004680633545, dino_loss: 0.66015625, depth_loss: 0.062004439532756805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9653053283691406, dino_loss: 0.71875, depth_loss: 0.04872458800673485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7683/10000 [19:48:52<4:58:58,  7.74s/it]
                                                         
{'loss': 2.8898, 'grad_norm': 2.9339165687561035, 'learning_rate': 6.986540688530283e-06, 'epoch': 0.07}

 77%|███████▋  | 7683/10000 [19:48:52<4:58:58,  7.74s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6000803709030151, dino_loss: 0.546875, depth_loss: 0.04889826476573944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8511596918106079, dino_loss: 0.69140625, depth_loss: 0.04604676365852356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7684/10000 [19:49:00<5:05:52,  7.92s/it]
                                                         
{'loss': 2.0707, 'grad_norm': 3.1713390350341797, 'learning_rate': 6.980808969183056e-06, 'epoch': 0.07}

 77%|███████▋  | 7684/10000 [19:49:00<5:05:52,  7.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.4705336093902588, dino_loss: 0.58984375, depth_loss: 0.03582217916846275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5614756941795349, dino_loss: 0.6875, depth_loss: 0.046617817133665085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7685/10000 [19:49:08<5:12:07,  8.09s/it]
                                                         
{'loss': 1.947, 'grad_norm': 3.130601167678833, 'learning_rate': 6.9750792203874785e-06, 'epoch': 0.07}

 77%|███████▋  | 7685/10000 [19:49:08<5:12:07,  8.09s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8603271842002869, dino_loss: 0.67578125, depth_loss: 0.06301255524158478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9607348442077637, dino_loss: 0.6796875, depth_loss: 0.07064797729253769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7686/10000 [19:49:15<4:55:58,  7.67s/it]
                                                         
{'loss': 2.4447, 'grad_norm': 5.099554538726807, 'learning_rate': 6.969351442770119e-06, 'epoch': 0.07}

 77%|███████▋  | 7686/10000 [19:49:15<4:55:58,  7.67s/it]the number of masks: 8
seg_loss: 0.5559477806091309, dino_loss: 0.7109375, depth_loss: 0.053392305970191956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9489499926567078, dino_loss: 0.640625, depth_loss: 0.05197994410991669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7687/10000 [19:49:22<4:47:20,  7.45s/it]
                                                         
{'loss': 2.4276, 'grad_norm': 9.605775833129883, 'learning_rate': 6.963625636957396e-06, 'epoch': 0.07}

 77%|███████▋  | 7687/10000 [19:49:22<4:47:20,  7.45s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8435190320014954, dino_loss: 0.71484375, depth_loss: 0.05921205133199692, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.2256771326065063, dino_loss: 0.625, depth_loss: 0.0680728405714035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7688/10000 [19:49:29<4:45:55,  7.42s/it]
                                                         
{'loss': 2.6288, 'grad_norm': 3.1973557472229004, 'learning_rate': 6.957901803575448e-06, 'epoch': 0.07}

 77%|███████▋  | 7688/10000 [19:49:29<4:45:55,  7.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.613621711730957, dino_loss: 0.609375, depth_loss: 0.05643036589026451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7577577233314514, dino_loss: 0.67578125, depth_loss: 0.05575332045555115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7689/10000 [19:49:39<5:15:08,  8.18s/it]
                                                         
{'loss': 1.6726, 'grad_norm': 3.3915598392486572, 'learning_rate': 6.95217994325024e-06, 'epoch': 0.07}

 77%|███████▋  | 7689/10000 [19:49:39<5:15:08,  8.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8193000555038452, dino_loss: 0.6953125, depth_loss: 0.07175721973180771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8961712718009949, dino_loss: 0.69921875, depth_loss: 0.054253432899713516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7690/10000 [19:49:49<5:26:58,  8.49s/it]
                                                         
{'loss': 2.5547, 'grad_norm': 3.8360908031463623, 'learning_rate': 6.94646005660749e-06, 'epoch': 0.07}

 77%|███████▋  | 7690/10000 [19:49:49<5:26:58,  8.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8160900473594666, dino_loss: 0.68359375, depth_loss: 0.052085164934396744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7658344507217407, dino_loss: 0.65234375, depth_loss: 0.05403450131416321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7691/10000 [19:49:57<5:26:49,  8.49s/it]
                                                         
{'loss': 2.2267, 'grad_norm': 2.4326720237731934, 'learning_rate': 6.940742144272733e-06, 'epoch': 0.07}

 77%|███████▋  | 7691/10000 [19:49:57<5:26:49,  8.49s/it]the number of masks: 8
seg_loss: 0.9160569906234741, dino_loss: 0.6875, depth_loss: 0.06589901447296143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1495413780212402, dino_loss: 0.6953125, depth_loss: 0.06264542788267136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7692/10000 [19:50:03<5:01:03,  7.83s/it]
                                                         
{'loss': 2.5678, 'grad_norm': 8.62076473236084, 'learning_rate': 6.935026206871248e-06, 'epoch': 0.07}

 77%|███████▋  | 7692/10000 [19:50:03<5:01:03,  7.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.864171028137207, dino_loss: 0.66015625, depth_loss: 0.05965878814458847, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0776054859161377, dino_loss: 0.0, depth_loss: 0.06305268406867981, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7693/10000 [19:50:11<4:53:58,  7.65s/it]
                                                         
{'loss': 2.0988, 'grad_norm': 3.415393590927124, 'learning_rate': 6.929312245028152e-06, 'epoch': 0.07}

 77%|███████▋  | 7693/10000 [19:50:11<4:53:58,  7.65s/it]seg_loss: 0.0, dino_loss: 0.64453125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0188921689987183, dino_loss: 0.6953125, depth_loss: 0.07281684130430222, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7694/10000 [19:50:16<4:24:28,  6.88s/it]
                                                         
{'loss': 2.0151, 'grad_norm': 3.687582015991211, 'learning_rate': 6.923600259368296e-06, 'epoch': 0.07}

 77%|███████▋  | 7694/10000 [19:50:16<4:24:28,  6.88s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9377357959747314, dino_loss: 0.76953125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.049389362335205, dino_loss: 0.70703125, depth_loss: 0.06934616714715958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7695/10000 [19:50:24<4:41:08,  7.32s/it]
                                                         
{'loss': 2.8423, 'grad_norm': 4.785012722015381, 'learning_rate': 6.91789025051634e-06, 'epoch': 0.07}

 77%|███████▋  | 7695/10000 [19:50:24<4:41:08,  7.32s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.675930380821228, dino_loss: 0.6953125, depth_loss: 0.08600978553295135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7066004276275635, dino_loss: 0.609375, depth_loss: 0.0556732714176178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7696/10000 [19:50:32<4:50:53,  7.58s/it]
                                                         
{'loss': 1.6533, 'grad_norm': 3.8037657737731934, 'learning_rate': 6.912182219096716e-06, 'epoch': 0.07}

 77%|███████▋  | 7696/10000 [19:50:32<4:50:53,  7.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8668708205223083, dino_loss: 0.7109375, depth_loss: 0.05989242345094681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9239816665649414, dino_loss: 0.6875, depth_loss: 0.07118633389472961, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7697/10000 [19:50:42<5:18:10,  8.29s/it]
                                                         
{'loss': 2.7331, 'grad_norm': 3.9255473613739014, 'learning_rate': 6.90647616573365e-06, 'epoch': 0.07}

 77%|███████▋  | 7697/10000 [19:50:42<5:18:10,  8.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8213568329811096, dino_loss: 0.66015625, depth_loss: 0.07965531945228577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7698/10000 [19:50:50<5:10:09,  8.08s/it]
                                                         
{'loss': 1.792, 'grad_norm': 4.235201358795166, 'learning_rate': 6.9007720910511554e-06, 'epoch': 0.07}

 77%|███████▋  | 7698/10000 [19:50:50<5:10:09,  8.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9808596968650818, dino_loss: 0.65234375, depth_loss: 0.03702676296234131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8602861762046814, dino_loss: 0.70703125, depth_loss: 0.07873515039682388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7699/10000 [19:50:59<5:24:23,  8.46s/it]
                                                         
{'loss': 2.3207, 'grad_norm': 7.928804397583008, 'learning_rate': 6.895069995673003e-06, 'epoch': 0.07}

 77%|███████▋  | 7699/10000 [19:50:59<5:24:23,  8.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8839349150657654, dino_loss: 0.68359375, depth_loss: 0.05492512509226799, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8075321912765503, dino_loss: 0.66796875, depth_loss: 0.04482661932706833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7700/10000 [19:51:09<5:37:43,  8.81s/it]
                                                         
{'loss': 2.3824, 'grad_norm': 3.777892589569092, 'learning_rate': 6.889369880222776e-06, 'epoch': 0.07}

 77%|███████▋  | 7700/10000 [19:51:09<5:37:43,  8.81s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8610520362854004, dino_loss: 0.65234375, depth_loss: 0.06769588589668274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0278087854385376, dino_loss: 0.703125, depth_loss: 0.050642699003219604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7701/10000 [19:51:17<5:32:44,  8.68s/it]
                                                         
{'loss': 2.2487, 'grad_norm': 3.498120069503784, 'learning_rate': 6.883671745323833e-06, 'epoch': 0.07}

 77%|███████▋  | 7701/10000 [19:51:17<5:32:44,  8.68s/it]the number of masks: 8
seg_loss: 0.7989054918289185, dino_loss: 0.74609375, depth_loss: 0.05701988935470581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.119050145149231, dino_loss: 0.6953125, depth_loss: 0.05736730620265007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7702/10000 [19:51:24<5:17:47,  8.30s/it]
                                                         
{'loss': 2.5631, 'grad_norm': 6.045474529266357, 'learning_rate': 6.877975591599314e-06, 'epoch': 0.07}

 77%|███████▋  | 7702/10000 [19:51:24<5:17:47,  8.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.54250168800354, dino_loss: 0.59375, depth_loss: 0.04789462313055992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8535503149032593, dino_loss: 0.67578125, depth_loss: 0.058255862444639206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7703/10000 [19:51:33<5:18:33,  8.32s/it]
                                                         
{'loss': 1.7114, 'grad_norm': 5.093695163726807, 'learning_rate': 6.872281419672133e-06, 'epoch': 0.07}

 77%|███████▋  | 7703/10000 [19:51:33<5:18:33,  8.32s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.824938178062439, dino_loss: 0.63671875, depth_loss: 0.05488386005163193, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7761431932449341, dino_loss: 0.66796875, depth_loss: 0.05360770225524902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7704/10000 [19:51:39<4:54:41,  7.70s/it]
                                                         
{'loss': 2.022, 'grad_norm': 3.5999302864074707, 'learning_rate': 6.86658923016501e-06, 'epoch': 0.07}

 77%|███████▋  | 7704/10000 [19:51:39<4:54:41,  7.70s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1539273262023926, dino_loss: 0.7109375, depth_loss: 0.0460372194647789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6709109544754028, dino_loss: 0.61328125, depth_loss: 0.053702861070632935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7705/10000 [19:51:47<4:58:54,  7.81s/it]
                                                         
{'loss': 2.4348, 'grad_norm': 4.547231197357178, 'learning_rate': 6.860899023700407e-06, 'epoch': 0.07}

 77%|███████▋  | 7705/10000 [19:51:47<4:58:54,  7.81s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9885455369949341, dino_loss: 0.71875, depth_loss: 0.04772418737411499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9394726157188416, dino_loss: 0.6953125, depth_loss: 0.07150225341320038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7706/10000 [19:51:56<5:04:32,  7.97s/it]
                                                         
{'loss': 2.5653, 'grad_norm': 3.016261100769043, 'learning_rate': 6.855210800900633e-06, 'epoch': 0.07}

 77%|███████▋  | 7706/10000 [19:51:56<5:04:32,  7.97s/it]the number of masks: 8
seg_loss: 0.8444614410400391, dino_loss: 0.7578125, depth_loss: 0.05787544697523117, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5961072444915771, dino_loss: 0.58984375, depth_loss: 0.055834949016571045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7707/10000 [19:52:03<4:55:57,  7.74s/it]
                                                         
{'loss': 2.1029, 'grad_norm': 3.6654975414276123, 'learning_rate': 6.849524562387716e-06, 'epoch': 0.07}

 77%|███████▋  | 7707/10000 [19:52:03<4:55:57,  7.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8139352202415466, dino_loss: 0.6484375, depth_loss: 0.05943084880709648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8490042686462402, dino_loss: 0.6640625, depth_loss: 0.07232660055160522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7708/10000 [19:52:12<5:11:54,  8.17s/it]
                                                         
{'loss': 1.8867, 'grad_norm': 7.284987449645996, 'learning_rate': 6.843840308783514e-06, 'epoch': 0.07}

 77%|███████▋  | 7708/10000 [19:52:12<5:11:54,  8.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8907170295715332, dino_loss: 0.6640625, depth_loss: 0.051703374832868576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8138242959976196, dino_loss: 0.6640625, depth_loss: 0.04437856003642082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7709/10000 [19:52:22<5:34:41,  8.77s/it]
                                                         
{'loss': 2.1475, 'grad_norm': 6.0854716300964355, 'learning_rate': 6.83815804070963e-06, 'epoch': 0.07}

 77%|███████▋  | 7709/10000 [19:52:22<5:34:41,  8.77s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0573573112487793, dino_loss: 0.72265625, depth_loss: 0.06377492100000381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8736550807952881, dino_loss: 0.78515625, depth_loss: 0.06009846180677414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7710/10000 [19:52:29<5:10:29,  8.14s/it]
                                                         
{'loss': 2.7471, 'grad_norm': 5.217992305755615, 'learning_rate': 6.832477758787484e-06, 'epoch': 0.07}

 77%|███████▋  | 7710/10000 [19:52:29<5:10:29,  8.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8902822136878967, dino_loss: 0.6796875, depth_loss: 0.1018557995557785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7559112310409546, dino_loss: 0.70703125, depth_loss: 0.05384030193090439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7711/10000 [19:52:39<5:37:10,  8.84s/it]
                                                         
{'loss': 1.9444, 'grad_norm': 4.076650619506836, 'learning_rate': 6.826799463638239e-06, 'epoch': 0.07}

 77%|███████▋  | 7711/10000 [19:52:39<5:37:10,  8.84s/it]the number of masks: 8
seg_loss: 0.8686904907226562, dino_loss: 0.64453125, depth_loss: 0.033138208091259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6674825549125671, dino_loss: 0.58984375, depth_loss: 0.04045483097434044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7712/10000 [19:52:46<5:15:03,  8.26s/it]
                                                         
{'loss': 2.0936, 'grad_norm': 3.1201610565185547, 'learning_rate': 6.8211231558829e-06, 'epoch': 0.07}

 77%|███████▋  | 7712/10000 [19:52:46<5:15:03,  8.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8496600985527039, dino_loss: 0.75, depth_loss: 0.07951502501964569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9399546384811401, dino_loss: 0.6796875, depth_loss: 0.05423101410269737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7713/10000 [19:52:56<5:28:10,  8.61s/it]
                                                         
{'loss': 1.8895, 'grad_norm': 3.5972137451171875, 'learning_rate': 6.815448836142191e-06, 'epoch': 0.07}

 77%|███████▋  | 7713/10000 [19:52:56<5:28:10,  8.61s/it]the number of masks: 8
seg_loss: 0.7727838754653931, dino_loss: 0.71875, depth_loss: 0.05900036543607712, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.683829665184021, dino_loss: 0.703125, depth_loss: 0.06774364411830902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7714/10000 [19:53:04<5:20:53,  8.42s/it]
                                                         
{'loss': 2.358, 'grad_norm': 5.160998821258545, 'learning_rate': 6.809776505036667e-06, 'epoch': 0.07}

 77%|███████▋  | 7714/10000 [19:53:04<5:20:53,  8.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8547067642211914, dino_loss: 0.53515625, depth_loss: 0.03829361870884895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8979861736297607, dino_loss: 0.64453125, depth_loss: 0.08351224660873413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7715/10000 [19:53:13<5:36:38,  8.84s/it]
                                                         
{'loss': 2.2553, 'grad_norm': 2.4643797874450684, 'learning_rate': 6.8041061631866245e-06, 'epoch': 0.07}

 77%|███████▋  | 7715/10000 [19:53:13<5:36:38,  8.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8052549362182617, dino_loss: 0.6875, depth_loss: 0.06618344783782959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9657406210899353, dino_loss: 0.6796875, depth_loss: 0.06941190361976624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7716/10000 [19:53:22<5:34:28,  8.79s/it]
                                                         
{'loss': 2.4062, 'grad_norm': 3.137948751449585, 'learning_rate': 6.798437811212185e-06, 'epoch': 0.07}

 77%|███████▋  | 7716/10000 [19:53:22<5:34:28,  8.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9089136123657227, dino_loss: 0.0, depth_loss: 0.059735529124736786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7897557020187378, dino_loss: 0.71484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7717/10000 [19:53:30<5:20:40,  8.43s/it]
                                                         
{'loss': 2.0174, 'grad_norm': 4.457751750946045, 'learning_rate': 6.792771449733215e-06, 'epoch': 0.07}

 77%|███████▋  | 7717/10000 [19:53:30<5:20:40,  8.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7199259996414185, dino_loss: 0.6953125, depth_loss: 0.10649875551462173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0035698413848877, dino_loss: 0.83984375, depth_loss: 0.06100166589021683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7718/10000 [19:53:38<5:18:17,  8.37s/it]
                                                         
{'loss': 2.6444, 'grad_norm': 2.9499924182891846, 'learning_rate': 6.7871070793693815e-06, 'epoch': 0.07}

 77%|███████▋  | 7718/10000 [19:53:38<5:18:17,  8.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7856574058532715, dino_loss: 0.57421875, depth_loss: 0.049285560846328735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.074967622756958, dino_loss: 0.7265625, depth_loss: 0.06531335413455963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7719/10000 [19:53:45<5:07:08,  8.08s/it]
                                                         
{'loss': 2.0754, 'grad_norm': 3.116267442703247, 'learning_rate': 6.781444700740139e-06, 'epoch': 0.07}

 77%|███████▋  | 7719/10000 [19:53:45<5:07:08,  8.08s/it]the number of masks: 8
seg_loss: 0.7581338286399841, dino_loss: 0.6171875, depth_loss: 0.04001085087656975, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8590774536132812, dino_loss: 0.67578125, depth_loss: 0.08121649920940399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7720/10000 [19:53:52<4:51:04,  7.66s/it]
                                                         
{'loss': 2.3474, 'grad_norm': 5.152554035186768, 'learning_rate': 6.775784314464717e-06, 'epoch': 0.07}

 77%|███████▋  | 7720/10000 [19:53:52<4:51:04,  7.66s/it]the number of masks: 8
seg_loss: 1.0417985916137695, dino_loss: 0.69921875, depth_loss: 0.04801744222640991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7916433215141296, dino_loss: 0.68359375, depth_loss: 0.06472107023000717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7721/10000 [19:53:59<4:46:19,  7.54s/it]
                                                         
{'loss': 1.9775, 'grad_norm': 4.239101886749268, 'learning_rate': 6.7701259211621154e-06, 'epoch': 0.07}

 77%|███████▋  | 7721/10000 [19:53:59<4:46:19,  7.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9619042873382568, dino_loss: 0.65234375, depth_loss: 0.06518321484327316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.838992714881897, dino_loss: 0.671875, depth_loss: 0.06568796932697296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7722/10000 [19:54:10<5:28:19,  8.65s/it]
                                                         
{'loss': 2.1076, 'grad_norm': 4.624876022338867, 'learning_rate': 6.764469521451136e-06, 'epoch': 0.07}

 77%|███████▋  | 7722/10000 [19:54:10<5:28:19,  8.65s/it]the number of masks: 8
seg_loss: 0.981253445148468, dino_loss: 0.62109375, depth_loss: 0.04830219969153404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.038346529006958, dino_loss: 0.65234375, depth_loss: 0.069985531270504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7723/10000 [19:54:16<4:50:28,  7.65s/it]
                                                         
{'loss': 2.4557, 'grad_norm': 6.536465167999268, 'learning_rate': 6.758815115950362e-06, 'epoch': 0.07}

 77%|███████▋  | 7723/10000 [19:54:16<4:50:28,  7.65s/it]the number of masks: 8
seg_loss: 0.9102267622947693, dino_loss: 0.64453125, depth_loss: 0.07537351548671722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8280816078186035, dino_loss: 0.67578125, depth_loss: 0.05263516306877136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7724/10000 [19:54:23<4:43:22,  7.47s/it]
                                                         
{'loss': 2.3114, 'grad_norm': 2.594398260116577, 'learning_rate': 6.753162705278132e-06, 'epoch': 0.07}

 77%|███████▋  | 7724/10000 [19:54:23<4:43:22,  7.47s/it]the number of masks: 8
seg_loss: 1.0943652391433716, dino_loss: 0.66796875, depth_loss: 0.05397557467222214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6719505190849304, dino_loss: 0.68359375, depth_loss: 0.058996230363845825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7725/10000 [19:54:28<4:21:57,  6.91s/it]
                                                         
{'loss': 2.1758, 'grad_norm': 15.670150756835938, 'learning_rate': 6.747512290052596e-06, 'epoch': 0.07}

 77%|███████▋  | 7725/10000 [19:54:28<4:21:57,  6.91s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9282196760177612, dino_loss: 0.60546875, depth_loss: 0.03763677924871445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7568439245223999, dino_loss: 0.71875, depth_loss: 0.05433083325624466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7726/10000 [19:54:35<4:18:26,  6.82s/it]
                                                         
{'loss': 2.0489, 'grad_norm': 5.686553955078125, 'learning_rate': 6.741863870891671e-06, 'epoch': 0.07}

 77%|███████▋  | 7726/10000 [19:54:35<4:18:26,  6.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7928893566131592, dino_loss: 0.734375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7532329559326172, dino_loss: 0.70703125, depth_loss: 0.05323084443807602, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7727/10000 [19:54:42<4:24:07,  6.97s/it]
                                                         
{'loss': 2.0752, 'grad_norm': 11.775077819824219, 'learning_rate': 6.736217448413073e-06, 'epoch': 0.07}

 77%|███████▋  | 7727/10000 [19:54:42<4:24:07,  6.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0259735584259033, dino_loss: 0.70703125, depth_loss: 0.08594730496406555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8350805044174194, dino_loss: 0.6484375, depth_loss: 0.05864180997014046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7728/10000 [19:54:51<4:46:23,  7.56s/it]
                                                         
{'loss': 2.3419, 'grad_norm': 4.035073280334473, 'learning_rate': 6.730573023234269e-06, 'epoch': 0.07}

 77%|███████▋  | 7728/10000 [19:54:51<4:46:23,  7.56s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.05350277200341225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.617337167263031, dino_loss: 0.625, depth_loss: 0.048281487077474594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7729/10000 [19:54:58<4:42:00,  7.45s/it]
                                                         
{'loss': 0.7748, 'grad_norm': 2.82887864112854, 'learning_rate': 6.724930595972537e-06, 'epoch': 0.07}

 77%|███████▋  | 7729/10000 [19:54:58<4:42:00,  7.45s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8895820379257202, dino_loss: 0.68359375, depth_loss: 0.06983412057161331, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1326560974121094, dino_loss: 0.66796875, depth_loss: 0.08176090568304062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7730/10000 [19:55:06<4:41:07,  7.43s/it]
                                                         
{'loss': 2.4014, 'grad_norm': 5.257516860961914, 'learning_rate': 6.71929016724491e-06, 'epoch': 0.07}

 77%|███████▋  | 7730/10000 [19:55:06<4:41:07,  7.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9395164251327515, dino_loss: 0.69140625, depth_loss: 0.048690494149923325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7977794408798218, dino_loss: 0.68359375, depth_loss: 0.06494777649641037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7731/10000 [19:55:15<4:55:55,  7.83s/it]
                                                         
{'loss': 2.4054, 'grad_norm': 1.8271185159683228, 'learning_rate': 6.713651737668228e-06, 'epoch': 0.07}

 77%|███████▋  | 7731/10000 [19:55:15<4:55:55,  7.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8724797964096069, dino_loss: 0.6484375, depth_loss: 0.04631911963224411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7929253578186035, dino_loss: 0.70703125, depth_loss: 0.06757870316505432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7732/10000 [19:55:23<5:02:32,  8.00s/it]
                                                         
{'loss': 2.4483, 'grad_norm': 6.561675548553467, 'learning_rate': 6.708015307859098e-06, 'epoch': 0.07}

 77%|███████▋  | 7732/10000 [19:55:23<5:02:32,  8.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0130037069320679, dino_loss: 0.65625, depth_loss: 0.03792741149663925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1149444580078125, dino_loss: 0.69140625, depth_loss: 0.049201466143131256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7733/10000 [19:55:30<4:53:00,  7.75s/it]
                                                         
{'loss': 2.1214, 'grad_norm': 5.785775184631348, 'learning_rate': 6.70238087843392e-06, 'epoch': 0.07}

 77%|███████▋  | 7733/10000 [19:55:30<4:53:00,  7.75s/it]the number of masks: 8
seg_loss: 0.9156683683395386, dino_loss: 0.6796875, depth_loss: 0.06820947676897049, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0230246782302856, dino_loss: 0.6796875, depth_loss: 0.04987151175737381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7734/10000 [19:55:38<4:57:06,  7.87s/it]
                                                         
{'loss': 2.6964, 'grad_norm': 3.7114803791046143, 'learning_rate': 6.696748450008852e-06, 'epoch': 0.07}

 77%|███████▋  | 7734/10000 [19:55:38<4:57:06,  7.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9952677488327026, dino_loss: 0.69921875, depth_loss: 0.037122782319784164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9259135127067566, dino_loss: 0.6953125, depth_loss: 0.05724969133734703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7735/10000 [19:55:47<5:11:01,  8.24s/it]
                                                         
{'loss': 2.0515, 'grad_norm': 9.54886245727539, 'learning_rate': 6.691118023199861e-06, 'epoch': 0.07}

 77%|███████▋  | 7735/10000 [19:55:47<5:11:01,  8.24s/it]the number of masks: 8
seg_loss: 2.0310888290405273, dino_loss: 0.671875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6879345774650574, dino_loss: 0.66796875, depth_loss: 0.03936699777841568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7736/10000 [19:55:54<4:56:04,  7.85s/it]
                                                         
{'loss': 3.0626, 'grad_norm': 13.76387882232666, 'learning_rate': 6.685489598622669e-06, 'epoch': 0.07}

 77%|███████▋  | 7736/10000 [19:55:54<4:56:04,  7.85s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8274458646774292, dino_loss: 0.70703125, depth_loss: 0.074959397315979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.700483500957489, dino_loss: 0.60546875, depth_loss: 0.049940288066864014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7737/10000 [19:56:02<4:56:51,  7.87s/it]
                                                         
{'loss': 2.0045, 'grad_norm': 4.30763578414917, 'learning_rate': 6.6798631768928e-06, 'epoch': 0.07}

 77%|███████▋  | 7737/10000 [19:56:02<4:56:51,  7.87s/it]the number of masks: 8
seg_loss: 0.8379126191139221, dino_loss: 0.64453125, depth_loss: 0.07622562348842621, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6928418874740601, dino_loss: 0.6640625, depth_loss: 0.06789682060480118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7738/10000 [19:56:08<4:27:35,  7.10s/it]
                                                         
{'loss': 1.8218, 'grad_norm': 5.171612739562988, 'learning_rate': 6.6742387586255505e-06, 'epoch': 0.07}

 77%|███████▋  | 7738/10000 [19:56:08<4:27:35,  7.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7375079393386841, dino_loss: 0.6640625, depth_loss: 0.04326328635215759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1097893714904785, dino_loss: 0.67578125, depth_loss: 0.06766872853040695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7739/10000 [19:56:15<4:34:01,  7.27s/it]
                                                         
{'loss': 2.4166, 'grad_norm': 10.77538776397705, 'learning_rate': 6.668616344436004e-06, 'epoch': 0.07}

 77%|███████▋  | 7739/10000 [19:56:15<4:34:01,  7.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9295592308044434, dino_loss: 0.69140625, depth_loss: 0.06698565185070038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8523802757263184, dino_loss: 0.6640625, depth_loss: 0.05862635746598244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7740/10000 [19:56:22<4:32:08,  7.23s/it]
                                                         
{'loss': 1.9099, 'grad_norm': 8.130552291870117, 'learning_rate': 6.662995934939007e-06, 'epoch': 0.07}

 77%|███████▋  | 7740/10000 [19:56:22<4:32:08,  7.23s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9319689273834229, dino_loss: 0.6875, depth_loss: 0.06658518314361572, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7361785173416138, dino_loss: 0.59765625, depth_loss: 0.05355925112962723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7741/10000 [19:56:32<5:01:21,  8.00s/it]
                                                         
{'loss': 2.0192, 'grad_norm': 2.4439733028411865, 'learning_rate': 6.657377530749212e-06, 'epoch': 0.07}

 77%|███████▋  | 7741/10000 [19:56:32<5:01:21,  8.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8006644248962402, dino_loss: 0.69140625, depth_loss: 0.06185116246342659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5722163915634155, dino_loss: 0.6953125, depth_loss: 0.04373154044151306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7742/10000 [19:56:43<5:28:15,  8.72s/it]
                                                         
{'loss': 1.8354, 'grad_norm': 3.2620110511779785, 'learning_rate': 6.6517611324810245e-06, 'epoch': 0.07}

 77%|███████▋  | 7742/10000 [19:56:43<5:28:15,  8.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9044339060783386, dino_loss: 0.6875, depth_loss: 0.06956768035888672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.724723756313324, dino_loss: 0.6640625, depth_loss: 0.04501461982727051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7743/10000 [19:56:51<5:28:46,  8.74s/it]
                                                         
{'loss': 2.5139, 'grad_norm': 9.226058959960938, 'learning_rate': 6.646146740748655e-06, 'epoch': 0.07}

 77%|███████▋  | 7743/10000 [19:56:51<5:28:46,  8.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9328985810279846, dino_loss: 0.66796875, depth_loss: 0.07653234899044037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.049715518951416, dino_loss: 0.62109375, depth_loss: 0.0424821563065052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7744/10000 [19:57:01<5:37:02,  8.96s/it]
                                                         
{'loss': 2.3979, 'grad_norm': 4.417866230010986, 'learning_rate': 6.640534356166081e-06, 'epoch': 0.07}

 77%|███████▋  | 7744/10000 [19:57:01<5:37:02,  8.96s/it]seg_loss: 0.0, dino_loss: 0.7109375, depth_loss: 0.044945523142814636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8255742788314819, dino_loss: 0.671875, depth_loss: 0.05655853822827339, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7745/10000 [19:57:06<4:52:13,  7.78s/it]
                                                         
{'loss': 1.5065, 'grad_norm': 2.4956307411193848, 'learning_rate': 6.634923979347074e-06, 'epoch': 0.07}

 77%|███████▋  | 7745/10000 [19:57:06<4:52:13,  7.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7442538142204285, dino_loss: 0.703125, depth_loss: 0.06121445819735527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0976604223251343, dino_loss: 0.69140625, depth_loss: 0.07780428230762482, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7746/10000 [19:57:14<5:01:48,  8.03s/it]
                                                         
{'loss': 2.5476, 'grad_norm': 2.719775438308716, 'learning_rate': 6.6293156109051655e-06, 'epoch': 0.07}

 77%|███████▋  | 7746/10000 [19:57:14<5:01:48,  8.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8039998412132263, dino_loss: 0.6875, depth_loss: 0.0629882663488388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9418870210647583, dino_loss: 0.671875, depth_loss: 0.04903767630457878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7747/10000 [19:57:22<4:57:46,  7.93s/it]
                                                         
{'loss': 2.034, 'grad_norm': 5.625834941864014, 'learning_rate': 6.623709251453677e-06, 'epoch': 0.07}

 77%|███████▋  | 7747/10000 [19:57:22<4:57:46,  7.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6668957471847534, dino_loss: 0.734375, depth_loss: 0.043884001672267914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5060092210769653, dino_loss: 0.67578125, depth_loss: 0.057490766048431396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7748/10000 [19:57:30<5:00:08,  8.00s/it]
                                                         
{'loss': 1.8181, 'grad_norm': 2.8849973678588867, 'learning_rate': 6.618104901605729e-06, 'epoch': 0.07}

 77%|███████▋  | 7748/10000 [19:57:30<5:00:08,  8.00s/it]seg_loss: 0.0, dino_loss: 0.73828125, depth_loss: 0.04573902115225792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9561049938201904, dino_loss: 0.71875, depth_loss: 0.05988973379135132, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 77%|███████▋  | 7749/10000 [19:57:37<4:42:17,  7.52s/it]
                                                         
{'loss': 2.0742, 'grad_norm': 2.401087999343872, 'learning_rate': 6.612502561974182e-06, 'epoch': 0.07}

 77%|███████▋  | 7749/10000 [19:57:37<4:42:17,  7.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7416185140609741, dino_loss: 0.7109375, depth_loss: 0.04538071155548096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5944498181343079, dino_loss: 0.69140625, depth_loss: 0.06905623525381088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7750/10000 [19:57:44<4:44:11,  7.58s/it]
                                                         
{'loss': 2.1766, 'grad_norm': 4.101959705352783, 'learning_rate': 6.606902233171711e-06, 'epoch': 0.07}

 78%|███████▊  | 7750/10000 [19:57:44<4:44:11,  7.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8729941844940186, dino_loss: 0.65234375, depth_loss: 0.07007613033056259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9247106313705444, dino_loss: 0.66015625, depth_loss: 0.06758195161819458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7751/10000 [19:57:53<4:53:35,  7.83s/it]
                                                         
{'loss': 2.2206, 'grad_norm': 5.9570112228393555, 'learning_rate': 6.601303915810755e-06, 'epoch': 0.07}

 78%|███████▊  | 7751/10000 [19:57:53<4:53:35,  7.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0544854402542114, dino_loss: 0.7734375, depth_loss: 0.06509704142808914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9173609018325806, dino_loss: 0.6875, depth_loss: 0.05523523688316345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7752/10000 [19:58:00<4:49:48,  7.74s/it]
                                                         
{'loss': 2.4093, 'grad_norm': 6.155735969543457, 'learning_rate': 6.5957076105035514e-06, 'epoch': 0.07}

 78%|███████▊  | 7752/10000 [19:58:00<4:49:48,  7.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5900518894195557, dino_loss: 0.62109375, depth_loss: 0.05138760805130005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7257296442985535, dino_loss: 0.640625, depth_loss: 0.042337458580732346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7753/10000 [19:58:10<5:13:16,  8.37s/it]
                                                         
{'loss': 1.5642, 'grad_norm': 3.2626590728759766, 'learning_rate': 6.5901133178620844e-06, 'epoch': 0.07}

 78%|███████▊  | 7753/10000 [19:58:10<5:13:16,  8.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8851423859596252, dino_loss: 0.64453125, depth_loss: 0.07166483998298645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9761133193969727, dino_loss: 0.63671875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7754/10000 [19:58:19<5:16:08,  8.45s/it]
                                                         
{'loss': 2.5897, 'grad_norm': 4.681911468505859, 'learning_rate': 6.584521038498153e-06, 'epoch': 0.07}

 78%|███████▊  | 7754/10000 [19:58:19<5:16:08,  8.45s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7750533819198608, dino_loss: 0.671875, depth_loss: 0.05526679754257202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4828658699989319, dino_loss: 0.63671875, depth_loss: 0.07220511138439178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7755/10000 [19:58:25<4:55:15,  7.89s/it]
                                                         
{'loss': 2.3576, 'grad_norm': 2.279080867767334, 'learning_rate': 6.5789307730233065e-06, 'epoch': 0.07}

 78%|███████▊  | 7755/10000 [19:58:25<4:55:15,  7.89s/it]the number of masks: 8
seg_loss: 0.8352091312408447, dino_loss: 0.71875, depth_loss: 0.059923406690359116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8079173564910889, dino_loss: 0.69140625, depth_loss: 0.06521434336900711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7756/10000 [19:58:33<4:49:55,  7.75s/it]
                                                         
{'loss': 1.8622, 'grad_norm': 6.06007719039917, 'learning_rate': 6.573342522048895e-06, 'epoch': 0.07}

 78%|███████▊  | 7756/10000 [19:58:33<4:49:55,  7.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5586630702018738, dino_loss: 0.56640625, depth_loss: 0.028574494644999504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8318827152252197, dino_loss: 0.7109375, depth_loss: 0.049992505460977554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7757/10000 [19:58:43<5:13:52,  8.40s/it]
                                                         
{'loss': 1.6405, 'grad_norm': 3.2553725242614746, 'learning_rate': 6.5677562861860415e-06, 'epoch': 0.07}

 78%|███████▊  | 7757/10000 [19:58:43<5:13:52,  8.40s/it]the number of masks: 8
seg_loss: 1.1110655069351196, dino_loss: 0.734375, depth_loss: 0.061044178903102875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8842164278030396, dino_loss: 0.73828125, depth_loss: 0.08384168148040771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7758/10000 [19:58:50<4:55:51,  7.92s/it]
                                                         
{'loss': 2.0862, 'grad_norm': 3.97701096534729, 'learning_rate': 6.562172066045655e-06, 'epoch': 0.07}

 78%|███████▊  | 7758/10000 [19:58:50<4:55:51,  7.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6580420732498169, dino_loss: 0.61328125, depth_loss: 0.05575475096702576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8875295519828796, dino_loss: 0.62890625, depth_loss: 0.03512461110949516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7759/10000 [19:58:59<5:10:14,  8.31s/it]
                                                         
{'loss': 2.0243, 'grad_norm': 2.9200124740600586, 'learning_rate': 6.556589862238405e-06, 'epoch': 0.07}

 78%|███████▊  | 7759/10000 [19:58:59<5:10:14,  8.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9373507499694824, dino_loss: 0.69140625, depth_loss: 0.05564168095588684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.5546875, depth_loss: 0.05505349114537239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7760/10000 [19:59:06<4:54:39,  7.89s/it]
                                                         
{'loss': 1.8424, 'grad_norm': 3.5185673236846924, 'learning_rate': 6.551009675374764e-06, 'epoch': 0.07}

 78%|███████▊  | 7760/10000 [19:59:06<4:54:39,  7.89s/it]the number of masks: 8
seg_loss: 1.0819110870361328, dino_loss: 0.71484375, depth_loss: 0.061346977949142456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.671875, depth_loss: 0.0624828115105629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7761/10000 [19:59:11<4:21:01,  6.99s/it]
                                                         
{'loss': 2.0764, 'grad_norm': 4.226288318634033, 'learning_rate': 6.545431506064959e-06, 'epoch': 0.07}

 78%|███████▊  | 7761/10000 [19:59:11<4:21:01,  6.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8573610186576843, dino_loss: 0.66015625, depth_loss: 0.06537983566522598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5847905874252319, dino_loss: 0.64453125, depth_loss: 0.07246705889701843, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7762/10000 [19:59:20<4:43:38,  7.60s/it]
                                                         
{'loss': 2.345, 'grad_norm': 2.729398488998413, 'learning_rate': 6.539855354919019e-06, 'epoch': 0.07}

 78%|███████▊  | 7762/10000 [19:59:20<4:43:38,  7.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7218306064605713, dino_loss: 0.671875, depth_loss: 0.05443688482046127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6825580596923828, dino_loss: 0.6953125, depth_loss: 0.04897874593734741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7763/10000 [19:59:29<5:03:21,  8.14s/it]
                                                         
{'loss': 2.3106, 'grad_norm': 4.739338397979736, 'learning_rate': 6.5342812225467455e-06, 'epoch': 0.07}

 78%|███████▊  | 7763/10000 [19:59:29<5:03:21,  8.14s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9349552392959595, dino_loss: 0.703125, depth_loss: 0.05562815070152283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8846052885055542, dino_loss: 0.7109375, depth_loss: 0.06429409235715866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7764/10000 [19:59:37<5:06:33,  8.23s/it]
                                                         
{'loss': 2.3792, 'grad_norm': 4.2003865242004395, 'learning_rate': 6.528709109557721e-06, 'epoch': 0.07}

 78%|███████▊  | 7764/10000 [19:59:37<5:06:33,  8.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6590958833694458, dino_loss: 0.59765625, depth_loss: 0.04501757770776749, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6947264075279236, dino_loss: 0.58984375, depth_loss: 0.06304746866226196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7765/10000 [19:59:44<4:46:55,  7.70s/it]
                                                         
{'loss': 1.9589, 'grad_norm': 3.006962537765503, 'learning_rate': 6.5231390165612884e-06, 'epoch': 0.07}

 78%|███████▊  | 7765/10000 [19:59:44<4:46:55,  7.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8192324638366699, dino_loss: 0.72265625, depth_loss: 0.05806900933384895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7926100492477417, dino_loss: 0.6953125, depth_loss: 0.08542466163635254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7766/10000 [19:59:53<5:01:45,  8.10s/it]
                                                         
{'loss': 2.3114, 'grad_norm': 8.544995307922363, 'learning_rate': 6.517570944166601e-06, 'epoch': 0.07}

 78%|███████▊  | 7766/10000 [19:59:53<5:01:45,  8.10s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9272948503494263, dino_loss: 0.7109375, depth_loss: 0.06678686290979385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9259240627288818, dino_loss: 0.6640625, depth_loss: 0.05443339794874191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7767/10000 [20:00:02<5:17:21,  8.53s/it]
                                                         
{'loss': 2.4658, 'grad_norm': 6.033580780029297, 'learning_rate': 6.512004892982559e-06, 'epoch': 0.07}

 78%|███████▊  | 7767/10000 [20:00:02<5:17:21,  8.53s/it]the number of masks: 8
seg_loss: 0.8608728647232056, dino_loss: 0.80078125, depth_loss: 0.07211732864379883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9573124647140503, dino_loss: 0.62890625, depth_loss: 0.07255164533853531, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7768/10000 [20:00:09<4:57:46,  8.00s/it]
                                                         
{'loss': 2.6993, 'grad_norm': 6.313393592834473, 'learning_rate': 6.506440863617869e-06, 'epoch': 0.07}

 78%|███████▊  | 7768/10000 [20:00:09<4:57:46,  8.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8840163946151733, dino_loss: 0.63671875, depth_loss: 0.0863480418920517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6315897107124329, dino_loss: 0.60546875, depth_loss: 0.051605112850666046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7769/10000 [20:00:20<5:28:03,  8.82s/it]
                                                         
{'loss': 2.0486, 'grad_norm': 2.50944185256958, 'learning_rate': 6.500878856680998e-06, 'epoch': 0.07}

 78%|███████▊  | 7769/10000 [20:00:20<5:28:03,  8.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.166679859161377, dino_loss: 0.6875, depth_loss: 0.04834555834531784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7635599970817566, dino_loss: 0.67578125, depth_loss: 0.058391716331243515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7770/10000 [20:00:29<5:29:35,  8.87s/it]
                                                         
{'loss': 2.4094, 'grad_norm': 2.8580470085144043, 'learning_rate': 6.49531887278021e-06, 'epoch': 0.07}

 78%|███████▊  | 7770/10000 [20:00:29<5:29:35,  8.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9408091306686401, dino_loss: 0.74609375, depth_loss: 0.06663849204778671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.909338116645813, dino_loss: 0.7109375, depth_loss: 0.0620461106300354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7771/10000 [20:00:37<5:24:14,  8.73s/it]
                                                         
{'loss': 2.3064, 'grad_norm': 7.75752592086792, 'learning_rate': 6.489760912523524e-06, 'epoch': 0.07}

 78%|███████▊  | 7771/10000 [20:00:37<5:24:14,  8.73s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6413664817810059, dino_loss: 0.7265625, depth_loss: 0.0571429543197155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7926859259605408, dino_loss: 0.68359375, depth_loss: 0.05415625125169754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7772/10000 [20:00:45<5:16:28,  8.52s/it]
                                                         
{'loss': 2.5519, 'grad_norm': 4.5310211181640625, 'learning_rate': 6.484204976518751e-06, 'epoch': 0.07}

 78%|███████▊  | 7772/10000 [20:00:45<5:16:28,  8.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8536739349365234, dino_loss: 0.66015625, depth_loss: 0.05423424392938614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8308248519897461, dino_loss: 0.58984375, depth_loss: 0.05065591260790825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7773/10000 [20:00:53<5:02:23,  8.15s/it]
                                                         
{'loss': 2.1073, 'grad_norm': 3.8980319499969482, 'learning_rate': 6.478651065373495e-06, 'epoch': 0.07}

 78%|███████▊  | 7773/10000 [20:00:53<5:02:23,  8.15s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7490953207015991, dino_loss: 0.61328125, depth_loss: 0.05141037702560425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.7110115885734558, dino_loss: 0.71484375, depth_loss: 0.0722692608833313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7774/10000 [20:01:01<5:07:08,  8.28s/it]
                                                         
{'loss': 2.4592, 'grad_norm': 6.796755313873291, 'learning_rate': 6.473099179695103e-06, 'epoch': 0.07}

 78%|███████▊  | 7774/10000 [20:01:01<5:07:08,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8821761608123779, dino_loss: 0.0, depth_loss: 0.05646480619907379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8482984900474548, dino_loss: 0.71484375, depth_loss: 0.07959292829036713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7775/10000 [20:01:11<5:22:26,  8.70s/it]
                                                         
{'loss': 1.9014, 'grad_norm': 5.061224460601807, 'learning_rate': 6.46754932009073e-06, 'epoch': 0.07}

 78%|███████▊  | 7775/10000 [20:01:11<5:22:26,  8.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6225736141204834, dino_loss: 0.58984375, depth_loss: 0.053721215575933456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66015625, depth_loss: 0.05444474145770073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7776/10000 [20:01:18<5:01:56,  8.15s/it]
                                                         
{'loss': 1.8484, 'grad_norm': 1.879467248916626, 'learning_rate': 6.462001487167299e-06, 'epoch': 0.07}

 78%|███████▊  | 7776/10000 [20:01:18<5:01:56,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.761939287185669, dino_loss: 0.65625, depth_loss: 0.05914684757590294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7386438846588135, dino_loss: 0.6484375, depth_loss: 0.08360257744789124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7777/10000 [20:01:28<5:25:23,  8.78s/it]
                                                         
{'loss': 1.9709, 'grad_norm': 4.033999919891357, 'learning_rate': 6.456455681531523e-06, 'epoch': 0.07}

 78%|███████▊  | 7777/10000 [20:01:28<5:25:23,  8.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7119662761688232, dino_loss: 0.71484375, depth_loss: 0.05505893751978874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7940148115158081, dino_loss: 0.70703125, depth_loss: 0.042322609573602676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7778/10000 [20:01:37<5:24:50,  8.77s/it]
                                                         
{'loss': 2.1459, 'grad_norm': 9.343409538269043, 'learning_rate': 6.450911903789863e-06, 'epoch': 0.07}

 78%|███████▊  | 7778/10000 [20:01:37<5:24:50,  8.77s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8919448256492615, dino_loss: 0.66796875, depth_loss: 0.051608167588710785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8930615782737732, dino_loss: 0.67578125, depth_loss: 0.08629447221755981, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7779/10000 [20:01:44<5:09:56,  8.37s/it]
                                                         
{'loss': 2.4442, 'grad_norm': 4.434802055358887, 'learning_rate': 6.445370154548602e-06, 'epoch': 0.07}

 78%|███████▊  | 7779/10000 [20:01:44<5:09:56,  8.37s/it]the number of masks: 8
seg_loss: 0.9447365403175354, dino_loss: 0.66015625, depth_loss: 0.054721899330616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1424387693405151, dino_loss: 0.63671875, depth_loss: 0.05706758424639702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7780/10000 [20:01:51<4:49:34,  7.83s/it]
                                                         
{'loss': 2.1812, 'grad_norm': 5.227975845336914, 'learning_rate': 6.439830434413754e-06, 'epoch': 0.07}

 78%|███████▊  | 7780/10000 [20:01:51<4:49:34,  7.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8887819051742554, dino_loss: 0.61328125, depth_loss: 0.06615246832370758, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7692034840583801, dino_loss: 0.59765625, depth_loss: 0.0504135861992836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7781/10000 [20:01:58<4:44:11,  7.68s/it]
                                                         
{'loss': 2.0753, 'grad_norm': 4.332169532775879, 'learning_rate': 6.434292743991144e-06, 'epoch': 0.07}

 78%|███████▊  | 7781/10000 [20:01:58<4:44:11,  7.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7130615711212158, dino_loss: 0.625, depth_loss: 0.056682102382183075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.06089668720960617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7782/10000 [20:02:04<4:25:47,  7.19s/it]
                                                         
{'loss': 2.021, 'grad_norm': 3.1318676471710205, 'learning_rate': 6.428757083886366e-06, 'epoch': 0.07}

 78%|███████▊  | 7782/10000 [20:02:04<4:25:47,  7.19s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8512721061706543, dino_loss: 0.0, depth_loss: 0.0645737498998642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9341450333595276, dino_loss: 0.7890625, depth_loss: 0.06492261588573456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7783/10000 [20:02:12<4:27:43,  7.25s/it]
                                                         
{'loss': 1.581, 'grad_norm': 4.755331039428711, 'learning_rate': 6.423223454704802e-06, 'epoch': 0.07}

 78%|███████▊  | 7783/10000 [20:02:12<4:27:43,  7.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8953477740287781, dino_loss: 0.61328125, depth_loss: 0.042875878512859344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7240508794784546, dino_loss: 0.66015625, depth_loss: 0.062467873096466064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7784/10000 [20:02:22<4:59:10,  8.10s/it]
                                                         
{'loss': 2.3097, 'grad_norm': 4.8392653465271, 'learning_rate': 6.4176918570515834e-06, 'epoch': 0.07}

 78%|███████▊  | 7784/10000 [20:02:22<4:59:10,  8.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8182694911956787, dino_loss: 0.76171875, depth_loss: 0.08102576434612274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7333059906959534, dino_loss: 0.61328125, depth_loss: 0.06703273206949234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7785/10000 [20:02:31<5:11:23,  8.44s/it]
                                                         
{'loss': 2.6832, 'grad_norm': 7.973690986633301, 'learning_rate': 6.412162291531651e-06, 'epoch': 0.07}

 78%|███████▊  | 7785/10000 [20:02:31<5:11:23,  8.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8843303918838501, dino_loss: 0.6640625, depth_loss: 0.06410975009202957, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1374773979187012, dino_loss: 0.69921875, depth_loss: 0.058677252382040024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7786/10000 [20:02:42<5:36:21,  9.12s/it]
                                                         
{'loss': 2.8465, 'grad_norm': 3.5690975189208984, 'learning_rate': 6.406634758749699e-06, 'epoch': 0.07}

 78%|███████▊  | 7786/10000 [20:02:42<5:36:21,  9.12s/it]the number of masks: 8
seg_loss: 0.9998766183853149, dino_loss: 0.69140625, depth_loss: 0.08446468412876129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9181880950927734, dino_loss: 0.65234375, depth_loss: 0.07016834616661072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7787/10000 [20:02:47<4:54:37,  7.99s/it]
                                                         
{'loss': 2.8936, 'grad_norm': 8.82128620147705, 'learning_rate': 6.40110925931022e-06, 'epoch': 0.07}

 78%|███████▊  | 7787/10000 [20:02:47<4:54:37,  7.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9570883512496948, dino_loss: 0.671875, depth_loss: 0.06512190401554108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9034819006919861, dino_loss: 0.671875, depth_loss: 0.05843640863895416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7788/10000 [20:02:57<5:17:03,  8.60s/it]
                                                         
{'loss': 2.6071, 'grad_norm': 6.823626518249512, 'learning_rate': 6.395585793817454e-06, 'epoch': 0.07}

 78%|███████▊  | 7788/10000 [20:02:57<5:17:03,  8.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8772332668304443, dino_loss: 0.68359375, depth_loss: 0.06613093614578247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8657200932502747, dino_loss: 0.7421875, depth_loss: 0.08708608150482178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7789/10000 [20:03:05<5:06:03,  8.31s/it]
                                                         
{'loss': 1.9331, 'grad_norm': 3.5309691429138184, 'learning_rate': 6.390064362875472e-06, 'epoch': 0.07}

 78%|███████▊  | 7789/10000 [20:03:05<5:06:03,  8.31s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5838221311569214, dino_loss: 0.6484375, depth_loss: 0.051656968891620636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0788041353225708, dino_loss: 0.6953125, depth_loss: 0.05258946120738983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7790/10000 [20:03:12<4:58:18,  8.10s/it]
                                                         
{'loss': 2.4218, 'grad_norm': 2.9072141647338867, 'learning_rate': 6.384544967088063e-06, 'epoch': 0.07}

 78%|███████▊  | 7790/10000 [20:03:12<4:58:18,  8.10s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8868275284767151, dino_loss: 0.703125, depth_loss: 0.07256918400526047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5586700439453125, dino_loss: 0.6328125, depth_loss: 0.053485676646232605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7791/10000 [20:03:20<4:55:35,  8.03s/it]
                                                         
{'loss': 1.6852, 'grad_norm': 5.021820068359375, 'learning_rate': 6.379027607058835e-06, 'epoch': 0.07}

 78%|███████▊  | 7791/10000 [20:03:20<4:55:35,  8.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7928190231323242, dino_loss: 0.67578125, depth_loss: 0.0561276338994503, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9522361755371094, dino_loss: 0.6953125, depth_loss: 0.06663022935390472, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7792/10000 [20:03:29<5:08:26,  8.38s/it]
                                                         
{'loss': 2.249, 'grad_norm': 16.01329803466797, 'learning_rate': 6.373512283391145e-06, 'epoch': 0.07}

 78%|███████▊  | 7792/10000 [20:03:29<5:08:26,  8.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8994145393371582, dino_loss: 0.67578125, depth_loss: 0.07002688199281693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9463793039321899, dino_loss: 0.75, depth_loss: 0.06751026958227158, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7793/10000 [20:03:39<5:23:14,  8.79s/it]
                                                         
{'loss': 2.4887, 'grad_norm': 3.9212849140167236, 'learning_rate': 6.367998996688149e-06, 'epoch': 0.07}

 78%|███████▊  | 7793/10000 [20:03:39<5:23:14,  8.79s/it]the number of masks: 8
seg_loss: 0.7251936793327332, dino_loss: 0.58203125, depth_loss: 0.06139295548200607, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7475458979606628, dino_loss: 0.66015625, depth_loss: 0.0625845417380333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7794/10000 [20:03:45<4:48:16,  7.84s/it]
                                                         
{'loss': 2.3097, 'grad_norm': 14.718862533569336, 'learning_rate': 6.362487747552767e-06, 'epoch': 0.07}

 78%|███████▊  | 7794/10000 [20:03:45<4:48:16,  7.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8445596098899841, dino_loss: 0.6875, depth_loss: 0.04976455867290497, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.68359375, depth_loss: 0.052050668746232986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7795/10000 [20:03:51<4:27:07,  7.27s/it]
                                                         
{'loss': 1.4826, 'grad_norm': 3.098414182662964, 'learning_rate': 6.3569785365877125e-06, 'epoch': 0.07}

 78%|███████▊  | 7795/10000 [20:03:51<4:27:07,  7.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7926868200302124, dino_loss: 0.67578125, depth_loss: 0.07928510010242462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7652636170387268, dino_loss: 0.6953125, depth_loss: 0.09883932024240494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7796/10000 [20:04:00<4:46:57,  7.81s/it]
                                                         
{'loss': 2.1545, 'grad_norm': 3.5540170669555664, 'learning_rate': 6.3514713643954475e-06, 'epoch': 0.07}

 78%|███████▊  | 7796/10000 [20:04:00<4:46:57,  7.81s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8036839365959167, dino_loss: 0.64453125, depth_loss: 0.07485286891460419, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.872276246547699, dino_loss: 0.73046875, depth_loss: 0.08058091253042221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7797/10000 [20:04:07<4:40:15,  7.63s/it]
                                                         
{'loss': 1.9835, 'grad_norm': 4.299899578094482, 'learning_rate': 6.345966231578238e-06, 'epoch': 0.07}

 78%|███████▊  | 7797/10000 [20:04:07<4:40:15,  7.63s/it]the number of masks: 8
seg_loss: 1.1890853643417358, dino_loss: 0.609375, depth_loss: 0.04467698931694031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8592399954795837, dino_loss: 0.77734375, depth_loss: 0.04596889019012451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7798/10000 [20:04:12<4:13:14,  6.90s/it]
                                                         
{'loss': 2.134, 'grad_norm': 9.545814514160156, 'learning_rate': 6.340463138738123e-06, 'epoch': 0.07}

 78%|███████▊  | 7798/10000 [20:04:12<4:13:14,  6.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8223356008529663, dino_loss: 0.69921875, depth_loss: 0.0699235051870346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8434478640556335, dino_loss: 0.6171875, depth_loss: 0.10063385963439941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7799/10000 [20:04:20<4:25:12,  7.23s/it]
                                                         
{'loss': 2.1636, 'grad_norm': 9.936206817626953, 'learning_rate': 6.334962086476895e-06, 'epoch': 0.07}

 78%|███████▊  | 7799/10000 [20:04:20<4:25:12,  7.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7336957454681396, dino_loss: 0.671875, depth_loss: 0.051368992775678635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5305042862892151, dino_loss: 0.5, depth_loss: 0.04754563421010971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7800/10000 [20:04:26<4:15:26,  6.97s/it]
                                                         
{'loss': 2.0013, 'grad_norm': 4.559581756591797, 'learning_rate': 6.329463075396161e-06, 'epoch': 0.07}

 78%|███████▊  | 7800/10000 [20:04:26<4:15:26,  6.97s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9160152673721313, dino_loss: 0.0, depth_loss: 0.050424810498952866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1471375226974487, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7801/10000 [20:04:33<4:09:06,  6.80s/it]
                                                         
{'loss': 1.8072, 'grad_norm': 6.504311561584473, 'learning_rate': 6.323966106097257e-06, 'epoch': 0.07}

 78%|███████▊  | 7801/10000 [20:04:33<4:09:06,  6.80s/it]seg_loss: 0.0, dino_loss: 0.62109375, depth_loss: 0.05487031489610672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9755970239639282, dino_loss: 0.6171875, depth_loss: 0.05842805281281471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7802/10000 [20:04:38<3:55:29,  6.43s/it]
                                                         
{'loss': 2.0481, 'grad_norm': 3.8817625045776367, 'learning_rate': 6.318471179181357e-06, 'epoch': 0.07}

 78%|███████▊  | 7802/10000 [20:04:38<3:55:29,  6.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6321617960929871, dino_loss: 0.6484375, depth_loss: 0.05372991785407066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8024808764457703, dino_loss: 0.5, depth_loss: 0.062120769172906876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7803/10000 [20:04:48<4:26:44,  7.28s/it]
                                                         
{'loss': 1.6325, 'grad_norm': 5.3645339012146, 'learning_rate': 6.312978295249356e-06, 'epoch': 0.07}

 78%|███████▊  | 7803/10000 [20:04:48<4:26:44,  7.28s/it]the number of masks: 8
seg_loss: 0.909268319606781, dino_loss: 0.6796875, depth_loss: 0.07523446530103683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9789162874221802, dino_loss: 0.6640625, depth_loss: 0.07620705664157867, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7804/10000 [20:04:54<4:17:20,  7.03s/it]
                                                         
{'loss': 2.4894, 'grad_norm': 19.421476364135742, 'learning_rate': 6.307487454901956e-06, 'epoch': 0.07}

 78%|███████▊  | 7804/10000 [20:04:54<4:17:20,  7.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7836618423461914, dino_loss: 0.62890625, depth_loss: 0.06079677492380142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7325563430786133, dino_loss: 0.69140625, depth_loss: 0.0587775856256485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7805/10000 [20:05:02<4:30:17,  7.39s/it]
                                                         
{'loss': 2.0053, 'grad_norm': 4.201968669891357, 'learning_rate': 6.301998658739619e-06, 'epoch': 0.07}

 78%|███████▊  | 7805/10000 [20:05:02<4:30:17,  7.39s/it]the number of masks: 8
seg_loss: 0.83983314037323, dino_loss: 0.515625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8416906595230103, dino_loss: 0.70703125, depth_loss: 0.06947710365056992, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7806/10000 [20:05:08<4:13:19,  6.93s/it]
                                                         
{'loss': 2.0911, 'grad_norm': 4.021116256713867, 'learning_rate': 6.296511907362607e-06, 'epoch': 0.07}

 78%|███████▊  | 7806/10000 [20:05:08<4:13:19,  6.93s/it]seg_loss: 0.0, dino_loss: 0.55859375, depth_loss: 0.03459610044956207, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8764023184776306, dino_loss: 0.6796875, depth_loss: 0.05154958739876747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7807/10000 [20:05:15<4:10:29,  6.85s/it]
                                                         
{'loss': 2.0095, 'grad_norm': 1.6286221742630005, 'learning_rate': 6.2910272013709135e-06, 'epoch': 0.07}

 78%|███████▊  | 7807/10000 [20:05:15<4:10:29,  6.85s/it]the number of masks: 8
seg_loss: 0.9560366868972778, dino_loss: 0.0, depth_loss: 0.05748559907078743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7039169073104858, dino_loss: 0.48828125, depth_loss: 0.037351954728364944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7808/10000 [20:05:22<4:08:36,  6.80s/it]
                                                         
{'loss': 1.8673, 'grad_norm': 5.294590950012207, 'learning_rate': 6.285544541364374e-06, 'epoch': 0.07}

 78%|███████▊  | 7808/10000 [20:05:22<4:08:36,  6.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.002046823501587, dino_loss: 0.66796875, depth_loss: 0.06387241184711456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7345199584960938, dino_loss: 0.7109375, depth_loss: 0.0588335245847702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7809/10000 [20:05:29<4:11:07,  6.88s/it]
                                                         
{'loss': 2.3879, 'grad_norm': 4.024623870849609, 'learning_rate': 6.280063927942536e-06, 'epoch': 0.07}

 78%|███████▊  | 7809/10000 [20:05:29<4:11:07,  6.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5973894596099854, dino_loss: 0.5078125, depth_loss: 0.036754440516233444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7287886142730713, dino_loss: 0.703125, depth_loss: 0.06843451410531998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7810/10000 [20:05:37<4:22:42,  7.20s/it]
                                                         
{'loss': 2.2052, 'grad_norm': 4.34070348739624, 'learning_rate': 6.274585361704774e-06, 'epoch': 0.07}

 78%|███████▊  | 7810/10000 [20:05:37<4:22:42,  7.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0645999908447266, dino_loss: 0.68359375, depth_loss: 0.07838372886180878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7812293171882629, dino_loss: 0.69140625, depth_loss: 0.05208728834986687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7811/10000 [20:05:45<4:38:30,  7.63s/it]
                                                         
{'loss': 2.4005, 'grad_norm': 3.3180882930755615, 'learning_rate': 6.269108843250193e-06, 'epoch': 0.07}

 78%|███████▊  | 7811/10000 [20:05:45<4:38:30,  7.63s/it]the number of masks: 8
seg_loss: 0.9798265099525452, dino_loss: 0.51171875, depth_loss: 0.059884265065193176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8763875961303711, dino_loss: 0.7265625, depth_loss: 0.06905636191368103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7812/10000 [20:05:52<4:32:49,  7.48s/it]
                                                         
{'loss': 2.0714, 'grad_norm': 3.1882495880126953, 'learning_rate': 6.263634373177716e-06, 'epoch': 0.07}

 78%|███████▊  | 7812/10000 [20:05:52<4:32:49,  7.48s/it]the number of masks: 8
seg_loss: 0.9203962087631226, dino_loss: 0.75, depth_loss: 0.09611092507839203, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8712447881698608, dino_loss: 0.68359375, depth_loss: 0.06161746382713318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7813/10000 [20:05:59<4:27:53,  7.35s/it]
                                                         
{'loss': 2.1733, 'grad_norm': 3.4634206295013428, 'learning_rate': 6.258161952086e-06, 'epoch': 0.07}

 78%|███████▊  | 7813/10000 [20:05:59<4:27:53,  7.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8784584999084473, dino_loss: 0.6953125, depth_loss: 0.04727587103843689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.70570969581604, dino_loss: 0.67578125, depth_loss: 0.07754959166049957, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7814/10000 [20:06:08<4:45:58,  7.85s/it]
                                                         
{'loss': 1.8185, 'grad_norm': 2.737055778503418, 'learning_rate': 6.2526915805735275e-06, 'epoch': 0.07}

 78%|███████▊  | 7814/10000 [20:06:08<4:45:58,  7.85s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8254170417785645, dino_loss: 0.72265625, depth_loss: 0.05636243149638176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7471938133239746, dino_loss: 0.61328125, depth_loss: 0.04920557141304016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7815/10000 [20:06:16<4:46:58,  7.88s/it]
                                                         
{'loss': 2.1913, 'grad_norm': 2.4061782360076904, 'learning_rate': 6.247223259238511e-06, 'epoch': 0.07}

 78%|███████▊  | 7815/10000 [20:06:16<4:46:58,  7.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9232792258262634, dino_loss: 0.69921875, depth_loss: 0.08208424597978592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8669359683990479, dino_loss: 0.58984375, depth_loss: 0.07015024125576019, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7816/10000 [20:06:24<4:48:34,  7.93s/it]
                                                         
{'loss': 2.0002, 'grad_norm': 8.239388465881348, 'learning_rate': 6.2417569886789735e-06, 'epoch': 0.07}

 78%|███████▊  | 7816/10000 [20:06:24<4:48:34,  7.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8639957308769226, dino_loss: 0.6640625, depth_loss: 0.07322946190834045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9700437784194946, dino_loss: 0.65234375, depth_loss: 0.025200022384524345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7817/10000 [20:06:34<5:06:51,  8.43s/it]
                                                         
{'loss': 3.0277, 'grad_norm': 2.7826294898986816, 'learning_rate': 6.2362927694926795e-06, 'epoch': 0.07}

 78%|███████▊  | 7817/10000 [20:06:34<5:06:51,  8.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9625483751296997, dino_loss: 0.70703125, depth_loss: 0.06153205782175064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9129008054733276, dino_loss: 0.66796875, depth_loss: 0.04908789321780205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7818/10000 [20:06:42<5:04:47,  8.38s/it]
                                                         
{'loss': 2.2543, 'grad_norm': 5.594570159912109, 'learning_rate': 6.230830602277199e-06, 'epoch': 0.07}

 78%|███████▊  | 7818/10000 [20:06:42<5:04:47,  8.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9028869271278381, dino_loss: 0.7421875, depth_loss: 0.05444447323679924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7502657771110535, dino_loss: 0.640625, depth_loss: 0.04955783486366272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7819/10000 [20:06:51<5:08:09,  8.48s/it]
                                                         
{'loss': 2.7272, 'grad_norm': 3.4899401664733887, 'learning_rate': 6.225370487629872e-06, 'epoch': 0.07}

 78%|███████▊  | 7819/10000 [20:06:51<5:08:09,  8.48s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1300675868988037, dino_loss: 0.67578125, depth_loss: 0.043853484094142914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7582172155380249, dino_loss: 0.6015625, depth_loss: 0.04767870903015137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7820/10000 [20:07:00<5:15:51,  8.69s/it]
                                                         
{'loss': 2.6331, 'grad_norm': 3.582427501678467, 'learning_rate': 6.219912426147795e-06, 'epoch': 0.07}

 78%|███████▊  | 7820/10000 [20:07:00<5:15:51,  8.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9373236894607544, dino_loss: 0.75, depth_loss: 0.08949712663888931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1882450580596924, dino_loss: 0.69921875, depth_loss: 0.04333938658237457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7821/10000 [20:07:08<5:09:53,  8.53s/it]
                                                         
{'loss': 2.4233, 'grad_norm': 9.650754928588867, 'learning_rate': 6.214456418427858e-06, 'epoch': 0.07}

 78%|███████▊  | 7821/10000 [20:07:08<5:09:53,  8.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9171252250671387, dino_loss: 0.64453125, depth_loss: 0.049358971416950226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9651113748550415, dino_loss: 0.0, depth_loss: 0.039663635194301605, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7822/10000 [20:07:19<5:28:41,  9.06s/it]
                                                         
{'loss': 2.028, 'grad_norm': 5.112184524536133, 'learning_rate': 6.209002465066724e-06, 'epoch': 0.07}

 78%|███████▊  | 7822/10000 [20:07:19<5:28:41,  9.06s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8277546167373657, dino_loss: 0.64453125, depth_loss: 0.06365829706192017, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6633203029632568, dino_loss: 0.734375, depth_loss: 0.0674995481967926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7823/10000 [20:07:27<5:17:07,  8.74s/it]
                                                         
{'loss': 2.364, 'grad_norm': 9.00005054473877, 'learning_rate': 6.203550566660835e-06, 'epoch': 0.07}

 78%|███████▊  | 7823/10000 [20:07:27<5:17:07,  8.74s/it]the number of masks: 8
seg_loss: 0.944988489151001, dino_loss: 0.73046875, depth_loss: 0.06949348747730255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7363189458847046, dino_loss: 0.65625, depth_loss: 0.0735178142786026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7824/10000 [20:07:34<4:59:53,  8.27s/it]
                                                         
{'loss': 2.2533, 'grad_norm': 3.53507137298584, 'learning_rate': 6.198100723806388e-06, 'epoch': 0.07}

 78%|███████▊  | 7824/10000 [20:07:34<4:59:53,  8.27s/it]the number of masks: 8
seg_loss: 0.6544052362442017, dino_loss: 0.66796875, depth_loss: 0.04652967303991318, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.024611473083496, dino_loss: 0.7578125, depth_loss: 0.055470168590545654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7825/10000 [20:07:40<4:41:07,  7.76s/it]
                                                         
{'loss': 2.3527, 'grad_norm': 10.4852876663208, 'learning_rate': 6.192652937099388e-06, 'epoch': 0.07}

 78%|███████▊  | 7825/10000 [20:07:40<4:41:07,  7.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8060253262519836, dino_loss: 0.67578125, depth_loss: 0.04962873458862305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8476040363311768, dino_loss: 0.6640625, depth_loss: 0.07455140352249146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7826/10000 [20:07:48<4:45:23,  7.88s/it]
                                                         
{'loss': 1.9223, 'grad_norm': 4.005497455596924, 'learning_rate': 6.18720720713557e-06, 'epoch': 0.07}

 78%|███████▊  | 7826/10000 [20:07:48<4:45:23,  7.88s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8125301003456116, dino_loss: 0.62890625, depth_loss: 0.08252105116844177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8055660724639893, dino_loss: 0.62890625, depth_loss: 0.06497722864151001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7827/10000 [20:07:55<4:31:43,  7.50s/it]
                                                         
{'loss': 2.4263, 'grad_norm': 3.378408432006836, 'learning_rate': 6.181763534510502e-06, 'epoch': 0.07}

 78%|███████▊  | 7827/10000 [20:07:55<4:31:43,  7.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9805682897567749, dino_loss: 0.72265625, depth_loss: 0.07050725817680359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8442233800888062, dino_loss: 0.67578125, depth_loss: 0.05717673525214195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7828/10000 [20:08:03<4:40:56,  7.76s/it]
                                                         
{'loss': 2.4552, 'grad_norm': 4.4151225090026855, 'learning_rate': 6.176321919819472e-06, 'epoch': 0.07}

 78%|███████▊  | 7828/10000 [20:08:03<4:40:56,  7.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9747761487960815, dino_loss: 0.65625, depth_loss: 0.054602012038230896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7529794573783875, dino_loss: 0.68359375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7829/10000 [20:08:12<4:45:33,  7.89s/it]
                                                         
{'loss': 2.2337, 'grad_norm': 3.1444058418273926, 'learning_rate': 6.170882363657585e-06, 'epoch': 0.07}

 78%|███████▊  | 7829/10000 [20:08:12<4:45:33,  7.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8284028768539429, dino_loss: 0.69921875, depth_loss: 0.07314078509807587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9342371225357056, dino_loss: 0.73828125, depth_loss: 0.07392813265323639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7830/10000 [20:08:21<5:04:37,  8.42s/it]
                                                         
{'loss': 1.9321, 'grad_norm': 5.018438339233398, 'learning_rate': 6.165444866619685e-06, 'epoch': 0.07}

 78%|███████▊  | 7830/10000 [20:08:21<5:04:37,  8.42s/it]the number of masks: 8
seg_loss: 1.1963279247283936, dino_loss: 0.69140625, depth_loss: 0.06212342903017998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8030625581741333, dino_loss: 0.66015625, depth_loss: 0.06894675642251968, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7831/10000 [20:08:27<4:31:47,  7.52s/it]
                                                         
{'loss': 2.6245, 'grad_norm': 9.11778450012207, 'learning_rate': 6.160009429300425e-06, 'epoch': 0.07}

 78%|███████▊  | 7831/10000 [20:08:27<4:31:47,  7.52s/it]seg_loss: 0.0, dino_loss: 0.65234375, depth_loss: 0.1114453598856926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9337648153305054, dino_loss: 0.6796875, depth_loss: 0.0669388622045517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7832/10000 [20:08:32<4:11:07,  6.95s/it]
                                                         
{'loss': 1.8399, 'grad_norm': 5.157261848449707, 'learning_rate': 6.154576052294195e-06, 'epoch': 0.07}

 78%|███████▊  | 7832/10000 [20:08:32<4:11:07,  6.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7674130201339722, dino_loss: 0.65234375, depth_loss: 0.050550173968076706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9997000694274902, dino_loss: 0.671875, depth_loss: 0.06479430943727493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7833/10000 [20:08:40<4:14:54,  7.06s/it]
                                                         
{'loss': 2.2165, 'grad_norm': 2.3831613063812256, 'learning_rate': 6.149144736195209e-06, 'epoch': 0.07}

 78%|███████▊  | 7833/10000 [20:08:40<4:14:54,  7.06s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9981105327606201, dino_loss: 0.73046875, depth_loss: 0.09157945215702057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8180678486824036, dino_loss: 0.63671875, depth_loss: 0.07089239358901978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7834/10000 [20:08:49<4:39:44,  7.75s/it]
                                                         
{'loss': 2.1514, 'grad_norm': 4.116825103759766, 'learning_rate': 6.143715481597404e-06, 'epoch': 0.07}

 78%|███████▊  | 7834/10000 [20:08:49<4:39:44,  7.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6427489519119263, dino_loss: 0.58984375, depth_loss: 0.04237368702888489, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7881359457969666, dino_loss: 0.69140625, depth_loss: 0.07200586050748825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7835/10000 [20:08:58<4:55:06,  8.18s/it]
                                                         
{'loss': 1.7138, 'grad_norm': 3.1611318588256836, 'learning_rate': 6.138288289094532e-06, 'epoch': 0.07}

 78%|███████▊  | 7835/10000 [20:08:58<4:55:06,  8.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7066386938095093, dino_loss: 0.6953125, depth_loss: 0.0915016382932663, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6793784499168396, dino_loss: 0.70703125, depth_loss: 0.05953299254179001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7836/10000 [20:09:05<4:44:12,  7.88s/it]
                                                         
{'loss': 2.0054, 'grad_norm': 5.087094306945801, 'learning_rate': 6.132863159280086e-06, 'epoch': 0.07}

 78%|███████▊  | 7836/10000 [20:09:05<4:44:12,  7.88s/it]the number of masks: 8
seg_loss: 0.8384028673171997, dino_loss: 0.6640625, depth_loss: 0.06781360507011414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7400394082069397, dino_loss: 0.6171875, depth_loss: 0.06453004479408264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7837/10000 [20:09:12<4:29:49,  7.48s/it]
                                                         
{'loss': 2.1984, 'grad_norm': 4.1445393562316895, 'learning_rate': 6.127440092747366e-06, 'epoch': 0.07}

 78%|███████▊  | 7837/10000 [20:09:12<4:29:49,  7.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9546533823013306, dino_loss: 0.76171875, depth_loss: 0.055224355310201645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7916725873947144, dino_loss: 0.6484375, depth_loss: 0.04504847154021263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7838/10000 [20:09:22<5:00:13,  8.33s/it]
                                                         
{'loss': 2.1312, 'grad_norm': 3.171684980392456, 'learning_rate': 6.1220190900894175e-06, 'epoch': 0.07}

 78%|███████▊  | 7838/10000 [20:09:22<5:00:13,  8.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5627181529998779, dino_loss: 0.61328125, depth_loss: 0.044949233531951904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8825962543487549, dino_loss: 0.6484375, depth_loss: 0.08169573545455933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7839/10000 [20:09:30<4:54:31,  8.18s/it]
                                                         
{'loss': 1.7284, 'grad_norm': 5.1762614250183105, 'learning_rate': 6.116600151899079e-06, 'epoch': 0.07}

 78%|███████▊  | 7839/10000 [20:09:30<4:54:31,  8.18s/it]the number of masks: 8
seg_loss: 0.8300797939300537, dino_loss: 0.625, depth_loss: 0.0685083419084549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0160505771636963, dino_loss: 0.69140625, depth_loss: 0.059637561440467834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7840/10000 [20:09:37<4:40:11,  7.78s/it]
                                                         
{'loss': 2.4614, 'grad_norm': 8.268352508544922, 'learning_rate': 6.111183278768956e-06, 'epoch': 0.07}

 78%|███████▊  | 7840/10000 [20:09:37<4:40:11,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8938684463500977, dino_loss: 0.71484375, depth_loss: 0.05336403846740723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8828829526901245, dino_loss: 0.68359375, depth_loss: 0.06629723310470581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7841/10000 [20:09:43<4:24:10,  7.34s/it]
                                                         
{'loss': 2.0767, 'grad_norm': 4.588499069213867, 'learning_rate': 6.105768471291437e-06, 'epoch': 0.07}

 78%|███████▊  | 7841/10000 [20:09:43<4:24:10,  7.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8257477879524231, dino_loss: 0.64453125, depth_loss: 0.059891022741794586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7582001686096191, dino_loss: 0.515625, depth_loss: 0.057812079787254333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7842/10000 [20:09:51<4:32:23,  7.57s/it]
                                                         
{'loss': 1.8685, 'grad_norm': 3.7529349327087402, 'learning_rate': 6.100355730058666e-06, 'epoch': 0.07}

 78%|███████▊  | 7842/10000 [20:09:51<4:32:23,  7.57s/it]the number of masks: 8
seg_loss: 0.8683900833129883, dino_loss: 0.6796875, depth_loss: 0.06642557680606842, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7364689707756042, dino_loss: 0.65234375, depth_loss: 0.05243280157446861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7843/10000 [20:09:59<4:33:50,  7.62s/it]
                                                         
{'loss': 2.4159, 'grad_norm': 6.90172815322876, 'learning_rate': 6.094945055662574e-06, 'epoch': 0.07}

 78%|███████▊  | 7843/10000 [20:09:59<4:33:50,  7.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7974442839622498, dino_loss: 0.64453125, depth_loss: 0.06806835532188416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9476698637008667, dino_loss: 0.6953125, depth_loss: 0.05569731444120407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7844/10000 [20:10:07<4:38:05,  7.74s/it]
                                                         
{'loss': 2.1966, 'grad_norm': 3.4554452896118164, 'learning_rate': 6.089536448694877e-06, 'epoch': 0.07}

 78%|███████▊  | 7844/10000 [20:10:07<4:38:05,  7.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.067007303237915, dino_loss: 0.71875, depth_loss: 0.06196818873286247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7817765474319458, dino_loss: 0.6953125, depth_loss: 0.06586955487728119, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7845/10000 [20:10:16<4:50:58,  8.10s/it]
                                                         
{'loss': 2.4391, 'grad_norm': 2.970940589904785, 'learning_rate': 6.084129909747033e-06, 'epoch': 0.07}

 78%|███████▊  | 7845/10000 [20:10:16<4:50:58,  8.10s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8011674880981445, dino_loss: 0.7578125, depth_loss: 0.0653449147939682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.851965606212616, dino_loss: 0.69921875, depth_loss: 0.06583184003829956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7846/10000 [20:10:25<4:55:53,  8.24s/it]
                                                         
{'loss': 2.3725, 'grad_norm': 6.126877307891846, 'learning_rate': 6.078725439410304e-06, 'epoch': 0.07}

 78%|███████▊  | 7846/10000 [20:10:25<4:55:53,  8.24s/it]the number of masks: 8
seg_loss: 1.0506682395935059, dino_loss: 0.8046875, depth_loss: 0.07410041987895966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9717430472373962, dino_loss: 0.68359375, depth_loss: 0.05217916518449783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7847/10000 [20:10:33<4:56:37,  8.27s/it]
                                                         
{'loss': 2.6175, 'grad_norm': 5.990933895111084, 'learning_rate': 6.073323038275713e-06, 'epoch': 0.07}

 78%|███████▊  | 7847/10000 [20:10:33<4:56:37,  8.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9751275777816772, dino_loss: 0.67578125, depth_loss: 0.07528944313526154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8346181511878967, dino_loss: 0.59765625, depth_loss: 0.046976059675216675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7848/10000 [20:10:42<5:03:30,  8.46s/it]
                                                         
{'loss': 2.3275, 'grad_norm': 4.942292213439941, 'learning_rate': 6.067922706934068e-06, 'epoch': 0.07}

 78%|███████▊  | 7848/10000 [20:10:42<5:03:30,  8.46s/it]the number of masks: 8
seg_loss: 0.748629629611969, dino_loss: 0.69140625, depth_loss: 0.04860977455973625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7880887985229492, dino_loss: 0.72265625, depth_loss: 0.0536978617310524, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7849/10000 [20:10:50<4:56:37,  8.27s/it]
                                                         
{'loss': 2.5139, 'grad_norm': 8.492759704589844, 'learning_rate': 6.062524445975923e-06, 'epoch': 0.07}

 78%|███████▊  | 7849/10000 [20:10:50<4:56:37,  8.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8519538640975952, dino_loss: 0.703125, depth_loss: 0.060340892523527145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8928744792938232, dino_loss: 0.703125, depth_loss: 0.05009901151061058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 78%|███████▊  | 7850/10000 [20:10:57<4:41:01,  7.84s/it]
                                                         
{'loss': 2.0661, 'grad_norm': 6.4334821701049805, 'learning_rate': 6.057128255991637e-06, 'epoch': 0.07}

 78%|███████▊  | 7850/10000 [20:10:57<4:41:01,  7.84s/it]the number of masks: 8
seg_loss: 0.9767113327980042, dino_loss: 0.80078125, depth_loss: 0.03956296667456627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9856657385826111, dino_loss: 0.6328125, depth_loss: 0.06391030550003052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7851/10000 [20:11:04<4:41:27,  7.86s/it]
                                                         
{'loss': 2.6368, 'grad_norm': 2.5175697803497314, 'learning_rate': 6.051734137571322e-06, 'epoch': 0.07}

 79%|███████▊  | 7851/10000 [20:11:04<4:41:27,  7.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.864793062210083, dino_loss: 0.734375, depth_loss: 0.05596146732568741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8197782039642334, dino_loss: 0.68359375, depth_loss: 0.058168064802885056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7852/10000 [20:11:15<5:08:26,  8.62s/it]
                                                         
{'loss': 2.0449, 'grad_norm': 9.864127159118652, 'learning_rate': 6.046342091304871e-06, 'epoch': 0.07}

 79%|███████▊  | 7852/10000 [20:11:15<5:08:26,  8.62s/it]the number of masks: 8
seg_loss: 1.084847331047058, dino_loss: 0.69921875, depth_loss: 0.0637371838092804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0482840538024902, dino_loss: 0.6484375, depth_loss: 0.07021909952163696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7853/10000 [20:11:21<4:42:27,  7.89s/it]
                                                         
{'loss': 2.664, 'grad_norm': 3.0099565982818604, 'learning_rate': 6.040952117781953e-06, 'epoch': 0.07}

 79%|███████▊  | 7853/10000 [20:11:21<4:42:27,  7.89s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7886545658111572, dino_loss: 0.63671875, depth_loss: 0.04768769070506096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8188934326171875, dino_loss: 0.6796875, depth_loss: 0.05565313249826431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7854/10000 [20:11:30<4:58:55,  8.36s/it]
                                                         
{'loss': 2.2034, 'grad_norm': 3.408562421798706, 'learning_rate': 6.035564217592013e-06, 'epoch': 0.07}

 79%|███████▊  | 7854/10000 [20:11:30<4:58:55,  8.36s/it]seg_loss: 0.0, dino_loss: 0.78125, depth_loss: 0.07473054528236389, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6669514179229736, dino_loss: 0.5078125, depth_loss: 0.04024139791727066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7855/10000 [20:11:35<4:18:11,  7.22s/it]
                                                         
{'loss': 1.9736, 'grad_norm': 2.9124808311462402, 'learning_rate': 6.030178391324251e-06, 'epoch': 0.07}

 79%|███████▊  | 7855/10000 [20:11:35<4:18:11,  7.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9308695793151855, dino_loss: 0.6875, depth_loss: 0.058716338127851486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.526241660118103, dino_loss: 0.5859375, depth_loss: 0.02800588309764862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7856/10000 [20:11:46<5:00:45,  8.42s/it]
                                                         
{'loss': 2.4683, 'grad_norm': 2.8910465240478516, 'learning_rate': 6.024794639567669e-06, 'epoch': 0.07}

 79%|███████▊  | 7856/10000 [20:11:46<5:00:45,  8.42s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.3740185499191284, dino_loss: 0.69921875, depth_loss: 0.05508147552609444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8780363202095032, dino_loss: 0.65234375, depth_loss: 0.06385760009288788, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7857/10000 [20:11:53<4:42:55,  7.92s/it]
                                                         
{'loss': 2.2289, 'grad_norm': 8.069694519042969, 'learning_rate': 6.019412962911006e-06, 'epoch': 0.07}

 79%|███████▊  | 7857/10000 [20:11:53<4:42:55,  7.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9078036546707153, dino_loss: 0.67578125, depth_loss: 0.04605960100889206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.804081916809082, dino_loss: 0.7109375, depth_loss: 0.06912162899971008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7858/10000 [20:12:03<5:05:16,  8.55s/it]
                                                         
{'loss': 2.0564, 'grad_norm': 5.5907182693481445, 'learning_rate': 6.014033361942806e-06, 'epoch': 0.07}

 79%|███████▊  | 7858/10000 [20:12:03<5:05:16,  8.55s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9465539455413818, dino_loss: 0.69921875, depth_loss: 0.04587673768401146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1574759483337402, dino_loss: 0.6484375, depth_loss: 0.05987865477800369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7859/10000 [20:12:09<4:40:58,  7.87s/it]
                                                         
{'loss': 2.1852, 'grad_norm': 7.719456672668457, 'learning_rate': 6.008655837251373e-06, 'epoch': 0.07}

 79%|███████▊  | 7859/10000 [20:12:09<4:40:58,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7782579064369202, dino_loss: 0.7421875, depth_loss: 0.05744897574186325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9164125919342041, dino_loss: 0.67578125, depth_loss: 0.08357560634613037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7860/10000 [20:12:16<4:29:08,  7.55s/it]
                                                         
{'loss': 2.4519, 'grad_norm': 11.118590354919434, 'learning_rate': 6.003280389424789e-06, 'epoch': 0.07}

 79%|███████▊  | 7860/10000 [20:12:16<4:29:08,  7.55s/it]the number of masks: 8
seg_loss: 0.8780001997947693, dino_loss: 0.734375, depth_loss: 0.04910622537136078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1108980178833008, dino_loss: 0.55078125, depth_loss: 0.03724013268947601, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7861/10000 [20:12:21<4:03:12,  6.82s/it]
                                                         
{'loss': 2.1966, 'grad_norm': 19.088008880615234, 'learning_rate': 5.9979070190508965e-06, 'epoch': 0.07}

 79%|███████▊  | 7861/10000 [20:12:21<4:03:12,  6.82s/it]the number of masks: 8
seg_loss: 0.7037221193313599, dino_loss: 0.7421875, depth_loss: 0.08904699981212616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8425886034965515, dino_loss: 0.70703125, depth_loss: 0.056503959000110626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7862/10000 [20:12:29<4:08:03,  6.96s/it]
                                                         
{'loss': 2.3496, 'grad_norm': 3.226022243499756, 'learning_rate': 5.99253572671733e-06, 'epoch': 0.07}

 79%|███████▊  | 7862/10000 [20:12:29<4:08:03,  6.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.653796911239624, dino_loss: 0.6015625, depth_loss: 0.04952530562877655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4451565742492676, dino_loss: 0.65234375, depth_loss: 0.04240190237760544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7863/10000 [20:12:36<4:10:44,  7.04s/it]
                                                         
{'loss': 1.649, 'grad_norm': 5.797511100769043, 'learning_rate': 5.987166513011469e-06, 'epoch': 0.07}

 79%|███████▊  | 7863/10000 [20:12:36<4:10:44,  7.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7318257093429565, dino_loss: 0.70703125, depth_loss: 0.07389552891254425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9107241630554199, dino_loss: 0.62890625, depth_loss: 0.04580981656908989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7864/10000 [20:12:44<4:21:25,  7.34s/it]
                                                         
{'loss': 2.0259, 'grad_norm': 4.078891277313232, 'learning_rate': 5.981799378520498e-06, 'epoch': 0.07}

 79%|███████▊  | 7864/10000 [20:12:44<4:21:25,  7.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8796960711479187, dino_loss: 0.6796875, depth_loss: 0.08384381234645844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7487449645996094, dino_loss: 0.63671875, depth_loss: 0.05205264687538147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7865/10000 [20:12:54<4:50:33,  8.17s/it]
                                                         
{'loss': 2.0142, 'grad_norm': 4.021083354949951, 'learning_rate': 5.976434323831348e-06, 'epoch': 0.07}

 79%|███████▊  | 7865/10000 [20:12:54<4:50:33,  8.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8619324564933777, dino_loss: 0.66796875, depth_loss: 0.05374301224946976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7518922686576843, dino_loss: 0.67578125, depth_loss: 0.052964385598897934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7866/10000 [20:13:04<5:06:26,  8.62s/it]
                                                         
{'loss': 2.054, 'grad_norm': 3.5849499702453613, 'learning_rate': 5.971071349530749e-06, 'epoch': 0.07}

 79%|███████▊  | 7866/10000 [20:13:04<5:06:26,  8.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8051720261573792, dino_loss: 0.63671875, depth_loss: 0.07401066273450851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
the number of masks: 8
seg_loss: 0.8301877975463867, dino_loss: 0.6640625, depth_loss: 0.06035692244768143, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7867/10000 [20:13:12<5:08:29,  8.68s/it]
                                                         
{'loss': 2.1512, 'grad_norm': 5.222200393676758, 'learning_rate': 5.96571045620517e-06, 'epoch': 0.07}

 79%|███████▊  | 7867/10000 [20:13:12<5:08:29,  8.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8966196775436401, dino_loss: 0.71484375, depth_loss: 0.06527034938335419, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.63892662525177, dino_loss: 0.64453125, depth_loss: 0.05772445723414421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7868/10000 [20:13:19<4:47:17,  8.09s/it]
                                                         
{'loss': 1.9807, 'grad_norm': 2.4654481410980225, 'learning_rate': 5.960351644440878e-06, 'epoch': 0.07}

 79%|███████▊  | 7868/10000 [20:13:19<4:47:17,  8.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7670619487762451, dino_loss: 0.66796875, depth_loss: 0.0972621738910675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7681143879890442, dino_loss: 0.7109375, depth_loss: 0.06253700703382492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7869/10000 [20:13:28<4:54:46,  8.30s/it]
                                                         
{'loss': 2.5105, 'grad_norm': 4.459303379058838, 'learning_rate': 5.954994914823911e-06, 'epoch': 0.07}

 79%|███████▊  | 7869/10000 [20:13:28<4:54:46,  8.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9409265518188477, dino_loss: 0.0, depth_loss: 0.054949771612882614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9569031000137329, dino_loss: 0.62109375, depth_loss: 0.05805698409676552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7870/10000 [20:13:37<5:02:14,  8.51s/it]
                                                         
{'loss': 1.9396, 'grad_norm': 3.7987422943115234, 'learning_rate': 5.9496402679400594e-06, 'epoch': 0.07}

 79%|███████▊  | 7870/10000 [20:13:37<5:02:14,  8.51s/it]the number of masks: 8
seg_loss: 0.8670355081558228, dino_loss: 0.75, depth_loss: 0.05711750686168671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.912053108215332, dino_loss: 0.6796875, depth_loss: 0.03125923126935959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7871/10000 [20:13:43<4:31:34,  7.65s/it]
                                                         
{'loss': 2.8397, 'grad_norm': 3.3511760234832764, 'learning_rate': 5.944287704374906e-06, 'epoch': 0.07}

 79%|███████▊  | 7871/10000 [20:13:43<4:31:34,  7.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.206735372543335, dino_loss: 0.6875, depth_loss: 0.04081212356686592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8582571744918823, dino_loss: 0.6875, depth_loss: 0.03933402895927429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7872/10000 [20:13:52<4:46:39,  8.08s/it]
                                                         
{'loss': 2.6246, 'grad_norm': 4.5898261070251465, 'learning_rate': 5.9389372247138e-06, 'epoch': 0.07}

 79%|███████▊  | 7872/10000 [20:13:52<4:46:39,  8.08s/it]the number of masks: 8
seg_loss: 0.7556792497634888, dino_loss: 0.6875, depth_loss: 0.05276118218898773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9206178188323975, dino_loss: 0.6796875, depth_loss: 0.06443102657794952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7873/10000 [20:13:58<4:28:14,  7.57s/it]
                                                         
{'loss': 2.0057, 'grad_norm': 3.8631091117858887, 'learning_rate': 5.933588829541869e-06, 'epoch': 0.07}

 79%|███████▊  | 7873/10000 [20:13:58<4:28:14,  7.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8329918384552002, dino_loss: 0.69921875, depth_loss: 0.047126464545726776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1591413021087646, dino_loss: 0.65625, depth_loss: 0.06465527415275574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▊  | 7874/10000 [20:14:06<4:33:21,  7.71s/it]
                                                         
{'loss': 2.4419, 'grad_norm': 8.16714859008789, 'learning_rate': 5.928242519443991e-06, 'epoch': 0.07}

 79%|███████▊  | 7874/10000 [20:14:06<4:33:21,  7.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8409444689750671, dino_loss: 0.6328125, depth_loss: 0.0552189014852047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7394201755523682, dino_loss: 0.734375, depth_loss: 0.05320996791124344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7875/10000 [20:14:14<4:38:01,  7.85s/it]
                                                         
{'loss': 2.4756, 'grad_norm': 3.204684257507324, 'learning_rate': 5.9228982950048416e-06, 'epoch': 0.07}

 79%|███████▉  | 7875/10000 [20:14:14<4:38:01,  7.85s/it]seg_loss: 0.0, dino_loss: 0.49609375, depth_loss: 0.03882402181625366, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8683441877365112, dino_loss: 0.69140625, depth_loss: 0.05655437707901001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7876/10000 [20:14:21<4:26:46,  7.54s/it]
                                                         
{'loss': 1.8271, 'grad_norm': 3.2388477325439453, 'learning_rate': 5.917556156808848e-06, 'epoch': 0.07}

 79%|███████▉  | 7876/10000 [20:14:21<4:26:46,  7.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0128017663955688, dino_loss: 0.68359375, depth_loss: 0.05338480323553085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9573941826820374, dino_loss: 0.0, depth_loss: 0.04521326720714569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7877/10000 [20:14:28<4:24:23,  7.47s/it]
                                                         
{'loss': 2.0093, 'grad_norm': 14.387150764465332, 'learning_rate': 5.912216105440221e-06, 'epoch': 0.07}

 79%|███████▉  | 7877/10000 [20:14:28<4:24:23,  7.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8372904658317566, dino_loss: 0.703125, depth_loss: 0.06711698323488235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.921451210975647, dino_loss: 0.66796875, depth_loss: 0.06632667779922485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7878/10000 [20:14:37<4:36:01,  7.80s/it]
                                                         
{'loss': 2.5783, 'grad_norm': 3.3338942527770996, 'learning_rate': 5.906878141482944e-06, 'epoch': 0.07}

 79%|███████▉  | 7878/10000 [20:14:37<4:36:01,  7.80s/it]the number of masks: 8
seg_loss: 1.0415245294570923, dino_loss: 0.66796875, depth_loss: 0.06049872934818268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.7337439060211182, dino_loss: 0.63671875, depth_loss: 0.06045660004019737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7879/10000 [20:14:45<4:42:02,  7.98s/it]
                                                         
{'loss': 2.4708, 'grad_norm': 6.883129119873047, 'learning_rate': 5.901542265520777e-06, 'epoch': 0.07}

 79%|███████▉  | 7879/10000 [20:14:45<4:42:02,  7.98s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0521607398986816, dino_loss: 0.6953125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9553293585777283, dino_loss: 0.68359375, depth_loss: 0.056267909705638885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7880/10000 [20:14:53<4:35:19,  7.79s/it]
                                                         
{'loss': 2.7011, 'grad_norm': 3.0712409019470215, 'learning_rate': 5.896208478137222e-06, 'epoch': 0.07}

 79%|███████▉  | 7880/10000 [20:14:53<4:35:19,  7.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8342440724372864, dino_loss: 0.578125, depth_loss: 0.032863326370716095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.73046875, depth_loss: 0.06407936662435532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7881/10000 [20:14:59<4:16:57,  7.28s/it]
                                                         
{'loss': 1.9425, 'grad_norm': 1.4858578443527222, 'learning_rate': 5.890876779915594e-06, 'epoch': 0.07}

 79%|███████▉  | 7881/10000 [20:14:59<4:16:57,  7.28s/it]seg_loss: 0.0, dino_loss: 0.69921875, depth_loss: 0.05436210334300995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7941386103630066, dino_loss: 0.625, depth_loss: 0.03456956520676613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7882/10000 [20:15:05<4:11:04,  7.11s/it]
                                                         
{'loss': 2.0824, 'grad_norm': 1.8580116033554077, 'learning_rate': 5.885547171438946e-06, 'epoch': 0.07}

 79%|███████▉  | 7882/10000 [20:15:05<4:11:04,  7.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8031360507011414, dino_loss: 0.67578125, depth_loss: 0.06616250425577164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6638860702514648, dino_loss: 0.65234375, depth_loss: 0.057245612144470215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7883/10000 [20:15:15<4:32:08,  7.71s/it]
                                                         
{'loss': 1.9549, 'grad_norm': 5.117650985717773, 'learning_rate': 5.88021965329012e-06, 'epoch': 0.07}

 79%|███████▉  | 7883/10000 [20:15:15<4:32:08,  7.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9588180780410767, dino_loss: 0.66015625, depth_loss: 0.09367646276950836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7018452286720276, dino_loss: 0.62890625, depth_loss: 0.07275976985692978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7884/10000 [20:15:24<4:47:10,  8.14s/it]
                                                         
{'loss': 1.9819, 'grad_norm': 4.173318862915039, 'learning_rate': 5.874894226051728e-06, 'epoch': 0.07}

 79%|███████▉  | 7884/10000 [20:15:24<4:47:10,  8.14s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7457360029220581, dino_loss: 0.58984375, depth_loss: 0.04579564556479454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8195611834526062, dino_loss: 0.703125, depth_loss: 0.045229218900203705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7885/10000 [20:15:32<4:49:40,  8.22s/it]
                                                         
{'loss': 2.3138, 'grad_norm': 3.8730762004852295, 'learning_rate': 5.869570890306153e-06, 'epoch': 0.07}

 79%|███████▉  | 7885/10000 [20:15:32<4:49:40,  8.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0147074460983276, dino_loss: 0.71875, depth_loss: 0.06539976596832275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9499784708023071, dino_loss: 0.68359375, depth_loss: 0.07921698689460754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7886/10000 [20:15:40<4:48:07,  8.18s/it]
                                                         
{'loss': 2.5711, 'grad_norm': 1.8385857343673706, 'learning_rate': 5.864249646635539e-06, 'epoch': 0.07}

 79%|███████▉  | 7886/10000 [20:15:40<4:48:07,  8.18s/it]the number of masks: 5
the number of masks: 8
seg_loss: 0.5619639158248901, dino_loss: 0.63671875, depth_loss: 0.0581081286072731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5449701547622681, dino_loss: 0.68359375, depth_loss: 0.049861565232276917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7887/10000 [20:15:47<4:30:26,  7.68s/it]
                                                         
{'loss': 1.9375, 'grad_norm': 6.498500823974609, 'learning_rate': 5.85893049562182e-06, 'epoch': 0.07}

 79%|███████▉  | 7887/10000 [20:15:47<4:30:26,  7.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5084599256515503, dino_loss: 0.578125, depth_loss: 0.07432787865400314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9794602990150452, dino_loss: 0.671875, depth_loss: 0.052700474858284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7888/10000 [20:15:54<4:27:29,  7.60s/it]
                                                         
{'loss': 1.9646, 'grad_norm': 10.278800964355469, 'learning_rate': 5.853613437846675e-06, 'epoch': 0.07}

 79%|███████▉  | 7888/10000 [20:15:54<4:27:29,  7.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8114969730377197, dino_loss: 0.71484375, depth_loss: 0.057227395474910736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4905553460121155, dino_loss: 0.75, depth_loss: 0.06087677925825119, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7889/10000 [20:16:00<4:12:55,  7.19s/it]
                                                         
{'loss': 1.8286, 'grad_norm': 5.684635162353516, 'learning_rate': 5.848298473891581e-06, 'epoch': 0.07}

 79%|███████▉  | 7889/10000 [20:16:00<4:12:55,  7.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8552432060241699, dino_loss: 0.72265625, depth_loss: 0.10285184532403946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.861414909362793, dino_loss: 0.70703125, depth_loss: 0.056210022419691086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7890/10000 [20:16:09<4:28:56,  7.65s/it]
                                                         
{'loss': 1.8412, 'grad_norm': 2.4375417232513428, 'learning_rate': 5.842985604337769e-06, 'epoch': 0.07}

 79%|███████▉  | 7890/10000 [20:16:09<4:28:56,  7.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5825096964836121, dino_loss: 0.498046875, depth_loss: 0.06990844011306763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9398036003112793, dino_loss: 0.69921875, depth_loss: 0.06862923502922058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7891/10000 [20:16:17<4:35:49,  7.85s/it]
                                                         
{'loss': 1.8259, 'grad_norm': 4.323903560638428, 'learning_rate': 5.837674829766257e-06, 'epoch': 0.07}

 79%|███████▉  | 7891/10000 [20:16:17<4:35:49,  7.85s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.077120304107666, dino_loss: 0.6875, depth_loss: 0.06588955968618393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.033045768737793, dino_loss: 0.68359375, depth_loss: 0.03906206786632538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7892/10000 [20:16:25<4:35:42,  7.85s/it]
                                                         
{'loss': 2.4003, 'grad_norm': 10.09202766418457, 'learning_rate': 5.8323661507578095e-06, 'epoch': 0.07}

 79%|███████▉  | 7892/10000 [20:16:25<4:35:42,  7.85s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8954532742500305, dino_loss: 0.72265625, depth_loss: 0.06867460161447525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7460023760795593, dino_loss: 0.66015625, depth_loss: 0.05929720401763916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7893/10000 [20:16:32<4:22:55,  7.49s/it]
                                                         
{'loss': 2.3921, 'grad_norm': 6.773062705993652, 'learning_rate': 5.827059567892981e-06, 'epoch': 0.07}

 79%|███████▉  | 7893/10000 [20:16:32<4:22:55,  7.49s/it]seg_loss: 0.0, dino_loss: 0.66796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1313080787658691, dino_loss: 0.61328125, depth_loss: 0.05471835657954216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7894/10000 [20:16:36<3:51:47,  6.60s/it]
                                                         
{'loss': 2.3176, 'grad_norm': 5.097596168518066, 'learning_rate': 5.821755081752101e-06, 'epoch': 0.07}

 79%|███████▉  | 7894/10000 [20:16:36<3:51:47,  6.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7974339723587036, dino_loss: 0.73828125, depth_loss: 0.05169722065329552, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9306483864784241, dino_loss: 0.7265625, depth_loss: 0.09357099235057831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7895/10000 [20:16:44<3:59:52,  6.84s/it]
                                                         
{'loss': 2.3119, 'grad_norm': 3.5452017784118652, 'learning_rate': 5.816452692915242e-06, 'epoch': 0.07}

 79%|███████▉  | 7895/10000 [20:16:44<3:59:52,  6.84s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7994465827941895, dino_loss: 0.81640625, depth_loss: 0.05743468180298805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7041938304901123, dino_loss: 0.0, depth_loss: 0.07439219206571579, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7896/10000 [20:16:51<4:03:32,  6.95s/it]
                                                         
{'loss': 1.9282, 'grad_norm': 6.7246856689453125, 'learning_rate': 5.811152401962275e-06, 'epoch': 0.07}

 79%|███████▉  | 7896/10000 [20:16:51<4:03:32,  6.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8681679964065552, dino_loss: 0.59375, depth_loss: 0.02995373122394085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7829357385635376, dino_loss: 0.6640625, depth_loss: 0.06696052849292755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7897/10000 [20:17:00<4:28:11,  7.65s/it]
                                                         
{'loss': 2.1943, 'grad_norm': 2.9834365844726562, 'learning_rate': 5.80585420947283e-06, 'epoch': 0.07}

 79%|███████▉  | 7897/10000 [20:17:00<4:28:11,  7.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.00857675075531, dino_loss: 0.69140625, depth_loss: 0.06543771922588348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8065117597579956, dino_loss: 0.609375, depth_loss: 0.04883243143558502, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7898/10000 [20:17:10<4:48:26,  8.23s/it]
                                                         
{'loss': 2.3655, 'grad_norm': 3.918860912322998, 'learning_rate': 5.800558116026319e-06, 'epoch': 0.07}

 79%|███████▉  | 7898/10000 [20:17:10<4:48:26,  8.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7357418537139893, dino_loss: 0.734375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5711129307746887, dino_loss: 0.63671875, depth_loss: 0.03941039368510246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7899/10000 [20:17:17<4:34:08,  7.83s/it]
                                                         
{'loss': 1.7779, 'grad_norm': 2.541978359222412, 'learning_rate': 5.795264122201902e-06, 'epoch': 0.07}

 79%|███████▉  | 7899/10000 [20:17:17<4:34:08,  7.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7811909317970276, dino_loss: 0.65625, depth_loss: 0.06657532602548599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9366790056228638, dino_loss: 0.6640625, depth_loss: 0.05662407726049423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7900/10000 [20:17:24<4:31:10,  7.75s/it]
                                                         
{'loss': 2.1838, 'grad_norm': 5.978222846984863, 'learning_rate': 5.78997222857853e-06, 'epoch': 0.07}

 79%|███████▉  | 7900/10000 [20:17:24<4:31:10,  7.75s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6506503820419312, dino_loss: 0.69140625, depth_loss: 0.047750938683748245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6737629175186157, dino_loss: 0.6640625, depth_loss: 0.04560977220535278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7901/10000 [20:17:32<4:27:47,  7.65s/it]
                                                         
{'loss': 1.7864, 'grad_norm': 2.6604435443878174, 'learning_rate': 5.784682435734906e-06, 'epoch': 0.07}

 79%|███████▉  | 7901/10000 [20:17:32<4:27:47,  7.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9566236734390259, dino_loss: 0.65234375, depth_loss: 0.05263809859752655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.665059506893158, dino_loss: 0.490234375, depth_loss: 0.05186329036951065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7902/10000 [20:17:41<4:39:57,  8.01s/it]
                                                         
{'loss': 2.4695, 'grad_norm': 3.38655948638916, 'learning_rate': 5.779394744249522e-06, 'epoch': 0.07}

 79%|███████▉  | 7902/10000 [20:17:41<4:39:57,  8.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8384593725204468, dino_loss: 0.69921875, depth_loss: 0.04820942133665085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8137511014938354, dino_loss: 0.609375, depth_loss: 0.06035860255360603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7903/10000 [20:17:49<4:43:48,  8.12s/it]
                                                         
{'loss': 2.2107, 'grad_norm': 3.3927507400512695, 'learning_rate': 5.774109154700633e-06, 'epoch': 0.07}

 79%|███████▉  | 7903/10000 [20:17:49<4:43:48,  8.12s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8517441749572754, dino_loss: 0.0, depth_loss: 0.06979258358478546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9809395670890808, dino_loss: 0.69921875, depth_loss: 0.0666503757238388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7904/10000 [20:17:57<4:42:39,  8.09s/it]
                                                         
{'loss': 1.7455, 'grad_norm': 5.7702765464782715, 'learning_rate': 5.7688256676662666e-06, 'epoch': 0.07}

 79%|███████▉  | 7904/10000 [20:17:57<4:42:39,  8.09s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8872129917144775, dino_loss: 0.71484375, depth_loss: 0.05674652010202408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6500865817070007, dino_loss: 0.515625, depth_loss: 0.03851386159658432, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7905/10000 [20:18:06<4:56:34,  8.49s/it]
                                                         
{'loss': 2.2319, 'grad_norm': 3.867229700088501, 'learning_rate': 5.763544283724204e-06, 'epoch': 0.07}

 79%|███████▉  | 7905/10000 [20:18:06<4:56:34,  8.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8663255572319031, dino_loss: 0.69921875, depth_loss: 0.05573689192533493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6968070268630981, dino_loss: 0.6875, depth_loss: 0.06412507593631744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7906/10000 [20:18:16<5:08:55,  8.85s/it]
                                                         
{'loss': 2.3699, 'grad_norm': 3.1569161415100098, 'learning_rate': 5.7582650034520265e-06, 'epoch': 0.07}

 79%|███████▉  | 7906/10000 [20:18:16<5:08:55,  8.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8816803693771362, dino_loss: 0.765625, depth_loss: 0.06893124431371689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5982608795166016, dino_loss: 0.66796875, depth_loss: 0.06508593261241913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7907/10000 [20:18:25<5:12:48,  8.97s/it]
                                                         
{'loss': 2.2114, 'grad_norm': 3.710508346557617, 'learning_rate': 5.7529878274270476e-06, 'epoch': 0.07}

 79%|███████▉  | 7907/10000 [20:18:25<5:12:48,  8.97s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7002356052398682, dino_loss: 0.6640625, depth_loss: 0.044638924300670624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1035175323486328, dino_loss: 0.7109375, depth_loss: 0.08617285639047623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7908/10000 [20:18:33<4:56:24,  8.50s/it]
                                                         
{'loss': 2.0379, 'grad_norm': 2.86437726020813, 'learning_rate': 5.747712756226393e-06, 'epoch': 0.07}

 79%|███████▉  | 7908/10000 [20:18:33<4:56:24,  8.50s/it]the number of masks: 8
seg_loss: 1.1544358730316162, dino_loss: 0.68359375, depth_loss: 0.060990914702415466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.776258111000061, dino_loss: 0.76953125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7909/10000 [20:18:38<4:19:02,  7.43s/it]
                                                         
{'loss': 2.2202, 'grad_norm': 6.359321594238281, 'learning_rate': 5.74243979042691e-06, 'epoch': 0.07}

 79%|███████▉  | 7909/10000 [20:18:38<4:19:02,  7.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9577553272247314, dino_loss: 0.66015625, depth_loss: 0.07341557741165161, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0021260976791382, dino_loss: 0.671875, depth_loss: 0.0710434764623642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7910/10000 [20:18:46<4:31:35,  7.80s/it]
                                                         
{'loss': 2.0952, 'grad_norm': 6.83196496963501, 'learning_rate': 5.737168930605272e-06, 'epoch': 0.07}

 79%|███████▉  | 7910/10000 [20:18:46<4:31:35,  7.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6581608653068542, dino_loss: 0.66796875, depth_loss: 0.052127428352832794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7510485649108887, dino_loss: 0.703125, depth_loss: 0.06879238784313202, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7911/10000 [20:18:55<4:39:58,  8.04s/it]
                                                         
{'loss': 1.9969, 'grad_norm': 3.7750933170318604, 'learning_rate': 5.731900177337873e-06, 'epoch': 0.07}

 79%|███████▉  | 7911/10000 [20:18:55<4:39:58,  8.04s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.7300293445587158, dino_loss: 0.68359375, depth_loss: 0.047041311860084534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0640146732330322, dino_loss: 0.68359375, depth_loss: 0.060567863285541534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7912/10000 [20:19:04<4:53:04,  8.42s/it]
                                                         
{'loss': 2.1873, 'grad_norm': 2.611738443374634, 'learning_rate': 5.726633531200906e-06, 'epoch': 0.07}

 79%|███████▉  | 7912/10000 [20:19:04<4:53:04,  8.42s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0376269817352295, dino_loss: 0.70703125, depth_loss: 0.056551817804574966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7167425155639648, dino_loss: 0.70703125, depth_loss: 0.0794624462723732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7913/10000 [20:19:12<4:49:31,  8.32s/it]
                                                         
{'loss': 2.3778, 'grad_norm': 6.1405181884765625, 'learning_rate': 5.721368992770315e-06, 'epoch': 0.07}

 79%|███████▉  | 7913/10000 [20:19:12<4:49:31,  8.32s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0744481086730957, dino_loss: 0.86328125, depth_loss: 0.06984315067529678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1880484819412231, dino_loss: 0.6953125, depth_loss: 0.05824844166636467, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7914/10000 [20:19:18<4:24:49,  7.62s/it]
                                                         
{'loss': 2.3326, 'grad_norm': 5.189527988433838, 'learning_rate': 5.716106562621826e-06, 'epoch': 0.07}

 79%|███████▉  | 7914/10000 [20:19:18<4:24:49,  7.62s/it]the number of masks: 8
seg_loss: 1.0865974426269531, dino_loss: 0.60546875, depth_loss: 0.063377246260643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6849498748779297, dino_loss: 0.7265625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7915/10000 [20:19:25<4:16:39,  7.39s/it]
                                                         
{'loss': 1.9504, 'grad_norm': 3.379000663757324, 'learning_rate': 5.710846241330928e-06, 'epoch': 0.07}

 79%|███████▉  | 7915/10000 [20:19:25<4:16:39,  7.39s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8296648263931274, dino_loss: 0.71484375, depth_loss: 0.05500689148902893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8274675607681274, dino_loss: 0.65234375, depth_loss: 0.0698486790060997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7916/10000 [20:19:34<4:31:29,  7.82s/it]
                                                         
{'loss': 2.0918, 'grad_norm': 5.868525981903076, 'learning_rate': 5.7055880294728855e-06, 'epoch': 0.07}

 79%|███████▉  | 7916/10000 [20:19:34<4:31:29,  7.82s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.057778581976890564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0534632205963135, dino_loss: 0.0, depth_loss: 0.044033583253622055, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7917/10000 [20:19:40<4:14:43,  7.34s/it]
                                                         
{'loss': 1.0905, 'grad_norm': 9.243414878845215, 'learning_rate': 5.700331927622735e-06, 'epoch': 0.07}

 79%|███████▉  | 7917/10000 [20:19:40<4:14:43,  7.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6667038202285767, dino_loss: 0.67578125, depth_loss: 0.03159686177968979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9454454183578491, dino_loss: 0.734375, depth_loss: 0.05605093389749527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7918/10000 [20:19:47<4:11:34,  7.25s/it]
                                                         
{'loss': 2.3472, 'grad_norm': 2.8266212940216064, 'learning_rate': 5.695077936355259e-06, 'epoch': 0.07}

 79%|███████▉  | 7918/10000 [20:19:47<4:11:34,  7.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8512794971466064, dino_loss: 0.69921875, depth_loss: 0.06616894900798798, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.735456109046936, dino_loss: 0.6953125, depth_loss: 0.04248267039656639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7919/10000 [20:19:58<4:45:54,  8.24s/it]
                                                         
{'loss': 2.2463, 'grad_norm': 2.7544355392456055, 'learning_rate': 5.689826056245043e-06, 'epoch': 0.07}

 79%|███████▉  | 7919/10000 [20:19:58<4:45:54,  8.24s/it]the number of masks: 8
seg_loss: 1.0980448722839355, dino_loss: 0.578125, depth_loss: 0.034864604473114014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7866507768630981, dino_loss: 0.77734375, depth_loss: 0.052220504730939865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7920/10000 [20:20:04<4:19:53,  7.50s/it]
                                                         
{'loss': 2.581, 'grad_norm': 6.859325408935547, 'learning_rate': 5.684576287866411e-06, 'epoch': 0.07}

 79%|███████▉  | 7920/10000 [20:20:04<4:19:53,  7.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9303414225578308, dino_loss: 0.70703125, depth_loss: 0.0685008093714714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8503541350364685, dino_loss: 0.71875, depth_loss: 0.08392062038183212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7921/10000 [20:20:11<4:18:44,  7.47s/it]
                                                         
{'loss': 2.0755, 'grad_norm': 8.37999153137207, 'learning_rate': 5.6793286317934846e-06, 'epoch': 0.07}

 79%|███████▉  | 7921/10000 [20:20:11<4:18:44,  7.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8436753749847412, dino_loss: 0.6875, depth_loss: 0.06661964952945709, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8592912554740906, dino_loss: 0.6796875, depth_loss: 0.09079082310199738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7922/10000 [20:20:22<4:50:11,  8.38s/it]
                                                         
{'loss': 2.4264, 'grad_norm': 2.9898288249969482, 'learning_rate': 5.674083088600113e-06, 'epoch': 0.07}

 79%|███████▉  | 7922/10000 [20:20:22<4:50:11,  8.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9587819576263428, dino_loss: 0.6875, depth_loss: 0.06373491138219833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6306122541427612, dino_loss: 0.6796875, depth_loss: 0.0522434264421463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7923/10000 [20:20:29<4:40:38,  8.11s/it]
                                                         
{'loss': 2.1724, 'grad_norm': 4.534254550933838, 'learning_rate': 5.668839658859976e-06, 'epoch': 0.07}

 79%|███████▉  | 7923/10000 [20:20:29<4:40:38,  8.11s/it]the number of masks: 8
seg_loss: 1.066349744796753, dino_loss: 0.6484375, depth_loss: 0.04030739516019821, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0006368160247803, dino_loss: 0.71875, depth_loss: 0.0764337033033371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7924/10000 [20:20:37<4:39:47,  8.09s/it]
                                                         
{'loss': 2.0911, 'grad_norm': 8.61820125579834, 'learning_rate': 5.663598343146462e-06, 'epoch': 0.07}

 79%|███████▉  | 7924/10000 [20:20:37<4:39:47,  8.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7784886360168457, dino_loss: 0.7109375, depth_loss: 0.05679592117667198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.7114948630332947, dino_loss: 0.65625, depth_loss: 0.05618194863200188, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7925/10000 [20:20:46<4:53:19,  8.48s/it]
                                                         
{'loss': 1.9776, 'grad_norm': 4.075699806213379, 'learning_rate': 5.6583591420327684e-06, 'epoch': 0.07}

 79%|███████▉  | 7925/10000 [20:20:46<4:53:19,  8.48s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9393144845962524, dino_loss: 0.6484375, depth_loss: 0.04601443186402321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.881117045879364, dino_loss: 0.71875, depth_loss: 0.06429838389158249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7926/10000 [20:20:54<4:43:38,  8.21s/it]
                                                         
{'loss': 2.0306, 'grad_norm': 3.886843204498291, 'learning_rate': 5.653122056091831e-06, 'epoch': 0.07}

 79%|███████▉  | 7926/10000 [20:20:54<4:43:38,  8.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9311626553535461, dino_loss: 0.68359375, depth_loss: 0.07172532379627228, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.022139310836792, dino_loss: 0.7265625, depth_loss: 0.06276809424161911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7927/10000 [20:21:03<4:50:43,  8.41s/it]
                                                         
{'loss': 1.993, 'grad_norm': 3.6147677898406982, 'learning_rate': 5.647887085896386e-06, 'epoch': 0.07}

 79%|███████▉  | 7927/10000 [20:21:03<4:50:43,  8.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8496443629264832, dino_loss: 0.6640625, depth_loss: 0.07315973192453384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5657966136932373, dino_loss: 0.59765625, depth_loss: 0.04091755300760269, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7928/10000 [20:21:13<5:12:02,  9.04s/it]
                                                         
{'loss': 2.3, 'grad_norm': 6.933601379394531, 'learning_rate': 5.642654232018898e-06, 'epoch': 0.07}

 79%|███████▉  | 7928/10000 [20:21:13<5:12:02,  9.04s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8253616094589233, dino_loss: 0.6484375, depth_loss: 0.04976125806570053, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7620455026626587, dino_loss: 0.65625, depth_loss: 0.03211427852511406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7929/10000 [20:21:21<4:57:47,  8.63s/it]
                                                         
{'loss': 2.3109, 'grad_norm': 4.180204391479492, 'learning_rate': 5.637423495031658e-06, 'epoch': 0.07}

 79%|███████▉  | 7929/10000 [20:21:21<4:57:47,  8.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7925107479095459, dino_loss: 0.68359375, depth_loss: 0.06539703160524368, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9268721342086792, dino_loss: 0.703125, depth_loss: 0.06261821836233139, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7930/10000 [20:21:31<5:15:02,  9.13s/it]
                                                         
{'loss': 2.3856, 'grad_norm': 3.6720035076141357, 'learning_rate': 5.632194875506663e-06, 'epoch': 0.07}

 79%|███████▉  | 7930/10000 [20:21:31<5:15:02,  9.13s/it]the number of masks: 8
seg_loss: 0.9565389752388, dino_loss: 0.703125, depth_loss: 0.0463031642138958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.895825982093811, dino_loss: 0.68359375, depth_loss: 0.041477274149656296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7931/10000 [20:21:37<4:43:31,  8.22s/it]
                                                         
{'loss': 2.0543, 'grad_norm': 2.0873215198516846, 'learning_rate': 5.6269683740157255e-06, 'epoch': 0.07}

 79%|███████▉  | 7931/10000 [20:21:37<4:43:31,  8.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8600310683250427, dino_loss: 0.68359375, depth_loss: 0.05963216722011566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8684489727020264, dino_loss: 0.6953125, depth_loss: 0.058810822665691376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7932/10000 [20:21:47<4:57:08,  8.62s/it]
                                                         
{'loss': 2.3848, 'grad_norm': 2.2216556072235107, 'learning_rate': 5.621743991130393e-06, 'epoch': 0.07}

 79%|███████▉  | 7932/10000 [20:21:47<4:57:08,  8.62s/it]the number of masks: 8
seg_loss: 0.5383363366127014, dino_loss: 0.6484375, depth_loss: 0.032458916306495667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8260010480880737, dino_loss: 0.6796875, depth_loss: 0.0475107841193676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7933/10000 [20:21:54<4:44:16,  8.25s/it]
                                                         
{'loss': 1.903, 'grad_norm': 3.662095546722412, 'learning_rate': 5.616521727422008e-06, 'epoch': 0.07}

 79%|███████▉  | 7933/10000 [20:21:54<4:44:16,  8.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.982745885848999, dino_loss: 0.65234375, depth_loss: 0.045455705374479294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8682167530059814, dino_loss: 0.68359375, depth_loss: 0.06581597030162811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7934/10000 [20:22:06<5:14:40,  9.14s/it]
                                                         
{'loss': 2.6497, 'grad_norm': 4.86671257019043, 'learning_rate': 5.61130158346165e-06, 'epoch': 0.07}

 79%|███████▉  | 7934/10000 [20:22:06<5:14:40,  9.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7304732203483582, dino_loss: 0.5546875, depth_loss: 0.023383302614092827, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9765956401824951, dino_loss: 0.69921875, depth_loss: 0.07527820765972137, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7935/10000 [20:22:13<4:54:18,  8.55s/it]
                                                         
{'loss': 1.9543, 'grad_norm': 9.221704483032227, 'learning_rate': 5.606083559820219e-06, 'epoch': 0.07}

 79%|███████▉  | 7935/10000 [20:22:13<4:54:18,  8.55s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9819616079330444, dino_loss: 0.67578125, depth_loss: 0.08898326754570007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7150955200195312, dino_loss: 0.59765625, depth_loss: 0.05226532742381096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7936/10000 [20:22:20<4:44:19,  8.27s/it]
                                                         
{'loss': 2.3805, 'grad_norm': 6.754184246063232, 'learning_rate': 5.600867657068321e-06, 'epoch': 0.07}

 79%|███████▉  | 7936/10000 [20:22:20<4:44:19,  8.27s/it]the number of masks: 8
seg_loss: 0.9271228313446045, dino_loss: 0.0, depth_loss: 0.028303002938628197, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7314295172691345, dino_loss: 0.703125, depth_loss: 0.05232115834951401, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7937/10000 [20:22:28<4:32:32,  7.93s/it]
                                                         
{'loss': 1.9584, 'grad_norm': 4.811770439147949, 'learning_rate': 5.5956538757763685e-06, 'epoch': 0.07}

 79%|███████▉  | 7937/10000 [20:22:28<4:32:32,  7.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9109213352203369, dino_loss: 0.70703125, depth_loss: 0.06475217640399933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1545321941375732, dino_loss: 0.671875, depth_loss: 0.06782101094722748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7938/10000 [20:22:35<4:24:53,  7.71s/it]
                                                         
{'loss': 2.5299, 'grad_norm': 3.4241325855255127, 'learning_rate': 5.590442216514543e-06, 'epoch': 0.07}

 79%|███████▉  | 7938/10000 [20:22:35<4:24:53,  7.71s/it]the number of masks: 8
seg_loss: 0.5696714520454407, dino_loss: 0.5859375, depth_loss: 0.03285153955221176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.807752788066864, dino_loss: 0.69921875, depth_loss: 0.07842280715703964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7939/10000 [20:22:41<4:14:47,  7.42s/it]
                                                         
{'loss': 2.1126, 'grad_norm': 9.227836608886719, 'learning_rate': 5.58523267985277e-06, 'epoch': 0.07}

 79%|███████▉  | 7939/10000 [20:22:41<4:14:47,  7.42s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7836123108863831, dino_loss: 0.65625, depth_loss: 0.06643426418304443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6664602756500244, dino_loss: 0.62890625, depth_loss: 0.03789252042770386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7940/10000 [20:22:49<4:12:29,  7.35s/it]
                                                         
{'loss': 1.7525, 'grad_norm': 4.6254777908325195, 'learning_rate': 5.580025266360764e-06, 'epoch': 0.07}

 79%|███████▉  | 7940/10000 [20:22:49<4:12:29,  7.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7621580362319946, dino_loss: 0.69140625, depth_loss: 0.10484590381383896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9677967429161072, dino_loss: 0.671875, depth_loss: 0.05524782836437225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7941/10000 [20:22:55<4:06:40,  7.19s/it]
                                                         
{'loss': 2.2512, 'grad_norm': 4.02954626083374, 'learning_rate': 5.574819976607987e-06, 'epoch': 0.07}

 79%|███████▉  | 7941/10000 [20:22:55<4:06:40,  7.19s/it]the number of masks: 8
seg_loss: 1.1576323509216309, dino_loss: 0.66015625, depth_loss: 0.04854416847229004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0482293367385864, dino_loss: 0.7109375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7942/10000 [20:23:02<3:56:20,  6.89s/it]
                                                         
{'loss': 2.6446, 'grad_norm': 7.417486190795898, 'learning_rate': 5.569616811163705e-06, 'epoch': 0.07}

 79%|███████▉  | 7942/10000 [20:23:02<3:56:20,  6.89s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7108384370803833, dino_loss: 0.5625, depth_loss: 0.05053143948316574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.80859375, depth_loss: 0.06591320782899857, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7943/10000 [20:23:08<3:46:39,  6.61s/it]
                                                         
{'loss': 1.7949, 'grad_norm': 3.636009454727173, 'learning_rate': 5.564415770596909e-06, 'epoch': 0.07}

 79%|███████▉  | 7943/10000 [20:23:08<3:46:39,  6.61s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8561619520187378, dino_loss: 0.6796875, depth_loss: 0.0480944886803627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.771672248840332, dino_loss: 0.7109375, depth_loss: 0.06654458492994308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7944/10000 [20:23:16<3:59:58,  7.00s/it]
                                                         
{'loss': 2.0116, 'grad_norm': 5.168453216552734, 'learning_rate': 5.559216855476387e-06, 'epoch': 0.07}

 79%|███████▉  | 7944/10000 [20:23:16<3:59:58,  7.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.895578920841217, dino_loss: 0.70703125, depth_loss: 0.05701363459229469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6967092752456665, dino_loss: 0.703125, depth_loss: 0.06697448343038559, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7945/10000 [20:23:25<4:21:08,  7.62s/it]
                                                         
{'loss': 2.3151, 'grad_norm': 4.284126281738281, 'learning_rate': 5.554020066370677e-06, 'epoch': 0.07}

 79%|███████▉  | 7945/10000 [20:23:25<4:21:08,  7.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9516647458076477, dino_loss: 0.72265625, depth_loss: 0.05375952273607254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7927332520484924, dino_loss: 0.66796875, depth_loss: 0.07087145000696182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7946/10000 [20:23:32<4:15:22,  7.46s/it]
                                                         
{'loss': 2.2861, 'grad_norm': 2.680699586868286, 'learning_rate': 5.5488254038481045e-06, 'epoch': 0.07}

 79%|███████▉  | 7946/10000 [20:23:32<4:15:22,  7.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8181491494178772, dino_loss: 0.69921875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8092087507247925, dino_loss: 0.69921875, depth_loss: 0.06745344400405884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7947/10000 [20:23:39<4:10:48,  7.33s/it]
                                                         
{'loss': 2.3307, 'grad_norm': 6.850200176239014, 'learning_rate': 5.543632868476723e-06, 'epoch': 0.07}

 79%|███████▉  | 7947/10000 [20:23:39<4:10:48,  7.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9418193697929382, dino_loss: 0.65234375, depth_loss: 0.053154341876506805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8626258373260498, dino_loss: 0.6953125, depth_loss: 0.07610765099525452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7948/10000 [20:23:47<4:23:46,  7.71s/it]
                                                         
{'loss': 2.5598, 'grad_norm': 4.2702412605285645, 'learning_rate': 5.538442460824417e-06, 'epoch': 0.07}

 79%|███████▉  | 7948/10000 [20:23:47<4:23:46,  7.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8374085426330566, dino_loss: 0.65234375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.3807809054851532, dino_loss: 0.5078125, depth_loss: 0.02889975905418396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 79%|███████▉  | 7949/10000 [20:23:54<4:18:00,  7.55s/it]
                                                         
{'loss': 1.9125, 'grad_norm': 2.42665696144104, 'learning_rate': 5.533254181458775e-06, 'epoch': 0.07}

 79%|███████▉  | 7949/10000 [20:23:54<4:18:00,  7.55s/it]the number of masks: 8
seg_loss: 1.0177958011627197, dino_loss: 0.78515625, depth_loss: 0.0711757242679596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7310440540313721, dino_loss: 0.63671875, depth_loss: 0.043020784854888916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7950/10000 [20:24:02<4:20:28,  7.62s/it]
                                                         
{'loss': 2.1513, 'grad_norm': 6.445870876312256, 'learning_rate': 5.528068030947192e-06, 'epoch': 0.07}

 80%|███████▉  | 7950/10000 [20:24:02<4:20:28,  7.62s/it]the number of masks: 8
seg_loss: 0.4693257212638855, dino_loss: 0.5703125, depth_loss: 0.03502665087580681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9410524368286133, dino_loss: 0.70703125, depth_loss: 0.06455671042203903, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7951/10000 [20:24:08<4:05:03,  7.18s/it]
                                                         
{'loss': 2.1835, 'grad_norm': 5.29352331161499, 'learning_rate': 5.52288400985681e-06, 'epoch': 0.07}

 80%|███████▉  | 7951/10000 [20:24:08<4:05:03,  7.18s/it]the number of masks: 8
seg_loss: 0.8420773148536682, dino_loss: 0.6640625, depth_loss: 0.04836166277527809, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7808123826980591, dino_loss: 0.703125, depth_loss: 0.05179155617952347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7952/10000 [20:24:15<3:56:37,  6.93s/it]
                                                         
{'loss': 2.1316, 'grad_norm': 8.301692962646484, 'learning_rate': 5.5177021187545556e-06, 'epoch': 0.07}

 80%|███████▉  | 7952/10000 [20:24:15<3:56:37,  6.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8415626287460327, dino_loss: 0.6875, depth_loss: 0.06470029801130295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.7421875, depth_loss: 0.08110611885786057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7953/10000 [20:24:21<3:50:08,  6.75s/it]
                                                         
{'loss': 1.8747, 'grad_norm': 2.825758457183838, 'learning_rate': 5.512522358207092e-06, 'epoch': 0.07}

 80%|███████▉  | 7953/10000 [20:24:21<3:50:08,  6.75s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6660624742507935, dino_loss: 0.0, depth_loss: 0.038434598594903946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8480931520462036, dino_loss: 0.63671875, depth_loss: 0.042440470308065414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7954/10000 [20:24:29<4:02:53,  7.12s/it]
                                                         
{'loss': 1.4322, 'grad_norm': 5.4273200035095215, 'learning_rate': 5.507344728780897e-06, 'epoch': 0.07}

 80%|███████▉  | 7954/10000 [20:24:29<4:02:53,  7.12s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7816517949104309, dino_loss: 0.71484375, depth_loss: 0.04514294117689133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9492599964141846, dino_loss: 0.0, depth_loss: 0.06261949241161346, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7955/10000 [20:24:36<3:56:21,  6.93s/it]
                                                         
{'loss': 2.1514, 'grad_norm': 5.6128387451171875, 'learning_rate': 5.50216923104217e-06, 'epoch': 0.07}

 80%|███████▉  | 7955/10000 [20:24:36<3:56:21,  6.93s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.600529134273529, dino_loss: 0.67578125, depth_loss: 0.05769750475883484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1273127794265747, dino_loss: 0.7265625, depth_loss: 0.08185696601867676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7956/10000 [20:24:45<4:16:46,  7.54s/it]
                                                         
{'loss': 2.7166, 'grad_norm': 5.500871658325195, 'learning_rate': 5.496995865556909e-06, 'epoch': 0.07}

 80%|███████▉  | 7956/10000 [20:24:45<4:16:46,  7.54s/it]seg_loss: 0.0, dino_loss: 0.671875, depth_loss: 0.04985019192099571, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.227398157119751, dino_loss: 0.65234375, depth_loss: 0.07275225967168808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7957/10000 [20:24:51<4:03:03,  7.14s/it]
                                                         
{'loss': 1.8287, 'grad_norm': 3.2146949768066406, 'learning_rate': 5.491824632890849e-06, 'epoch': 0.07}

 80%|███████▉  | 7957/10000 [20:24:51<4:03:03,  7.14s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0486748218536377, dino_loss: 0.6796875, depth_loss: 0.05601714551448822, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9460064172744751, dino_loss: 0.7109375, depth_loss: 0.07626616209745407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7958/10000 [20:24:58<4:02:57,  7.14s/it]
                                                         
{'loss': 2.381, 'grad_norm': 9.675315856933594, 'learning_rate': 5.48665553360952e-06, 'epoch': 0.07}

 80%|███████▉  | 7958/10000 [20:24:58<4:02:57,  7.14s/it]the number of masks: 8
seg_loss: 0.8706129789352417, dino_loss: 0.640625, depth_loss: 0.04192710667848587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9610475301742554, dino_loss: 0.6953125, depth_loss: 0.06447462737560272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7959/10000 [20:25:06<4:08:29,  7.30s/it]
                                                         
{'loss': 2.1226, 'grad_norm': 4.456941604614258, 'learning_rate': 5.481488568278209e-06, 'epoch': 0.07}

 80%|███████▉  | 7959/10000 [20:25:06<4:08:29,  7.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8914650082588196, dino_loss: 0.6484375, depth_loss: 0.055978864431381226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 8
seg_loss: 0.6056126952171326, dino_loss: 0.6484375, depth_loss: 0.044084370136260986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7960/10000 [20:25:13<4:07:21,  7.28s/it]
                                                         
{'loss': 1.9359, 'grad_norm': 2.9066452980041504, 'learning_rate': 5.476323737461955e-06, 'epoch': 0.07}

 80%|███████▉  | 7960/10000 [20:25:13<4:07:21,  7.28s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8869174122810364, dino_loss: 0.671875, depth_loss: 0.05748339742422104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9210678935050964, dino_loss: 0.66015625, depth_loss: 0.06548607349395752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7961/10000 [20:25:21<4:18:49,  7.62s/it]
                                                         
{'loss': 1.8911, 'grad_norm': 6.815676212310791, 'learning_rate': 5.4711610417255835e-06, 'epoch': 0.07}

 80%|███████▉  | 7961/10000 [20:25:21<4:18:49,  7.62s/it]the number of masks: 8
seg_loss: 1.099116563796997, dino_loss: 0.65625, depth_loss: 0.04443952068686485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7495848536491394, dino_loss: 0.66015625, depth_loss: 0.056433018296957016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7962/10000 [20:25:26<3:54:59,  6.92s/it]
                                                         
{'loss': 2.4348, 'grad_norm': 2.325045585632324, 'learning_rate': 5.466000481633682e-06, 'epoch': 0.07}

 80%|███████▉  | 7962/10000 [20:25:26<3:54:59,  6.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5958611965179443, dino_loss: 0.63671875, depth_loss: 0.06084524467587471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7519642114639282, dino_loss: 0.6796875, depth_loss: 0.057661548256874084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7963/10000 [20:25:36<4:25:46,  7.83s/it]
                                                         
{'loss': 2.1068, 'grad_norm': 4.212078094482422, 'learning_rate': 5.460842057750604e-06, 'epoch': 0.07}

 80%|███████▉  | 7963/10000 [20:25:36<4:25:46,  7.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8962243795394897, dino_loss: 0.703125, depth_loss: 0.07504965364933014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6640625, depth_loss: 0.05994800478219986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7964/10000 [20:25:43<4:11:36,  7.42s/it]
                                                         
{'loss': 1.9367, 'grad_norm': 1.9486802816390991, 'learning_rate': 5.4556857706404534e-06, 'epoch': 0.07}

 80%|███████▉  | 7964/10000 [20:25:43<4:11:36,  7.42s/it]the number of masks: 8
seg_loss: 1.2441903352737427, dino_loss: 0.6640625, depth_loss: 0.06116767227649689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0271201133728027, dino_loss: 0.68359375, depth_loss: 0.0656023770570755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7965/10000 [20:25:48<3:50:50,  6.81s/it]
                                                         
{'loss': 2.321, 'grad_norm': 5.3402204513549805, 'learning_rate': 5.45053162086713e-06, 'epoch': 0.07}

 80%|███████▉  | 7965/10000 [20:25:48<3:50:50,  6.81s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8184981942176819, dino_loss: 0.6640625, depth_loss: 0.06994615495204926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7148574590682983, dino_loss: 0.65234375, depth_loss: 0.05860532820224762, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7966/10000 [20:25:58<4:18:35,  7.63s/it]
                                                         
{'loss': 2.0685, 'grad_norm': 2.6646900177001953, 'learning_rate': 5.4453796089942635e-06, 'epoch': 0.07}

 80%|███████▉  | 7966/10000 [20:25:58<4:18:35,  7.63s/it]the number of masks: 8
seg_loss: 1.1054718494415283, dino_loss: 0.67578125, depth_loss: 0.05404726043343544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8211798667907715, dino_loss: 0.69921875, depth_loss: 0.05719415470957756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7967/10000 [20:26:05<4:13:43,  7.49s/it]
                                                         
{'loss': 2.3783, 'grad_norm': 7.375187873840332, 'learning_rate': 5.440229735585298e-06, 'epoch': 0.07}

 80%|███████▉  | 7967/10000 [20:26:05<4:13:43,  7.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8612828254699707, dino_loss: 0.6484375, depth_loss: 0.04309713840484619, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1205145120620728, dino_loss: 0.7109375, depth_loss: 0.050449345260858536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7968/10000 [20:26:13<4:22:35,  7.75s/it]
                                                         
{'loss': 2.355, 'grad_norm': 4.278142929077148, 'learning_rate': 5.435082001203392e-06, 'epoch': 0.07}

 80%|███████▉  | 7968/10000 [20:26:13<4:22:35,  7.75s/it]the number of masks: 8
seg_loss: 0.5216166377067566, dino_loss: 0.58203125, depth_loss: 0.06330462545156479, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9009555578231812, dino_loss: 0.64453125, depth_loss: 0.059853170067071915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7969/10000 [20:26:19<4:05:31,  7.25s/it]
                                                         
{'loss': 1.9388, 'grad_norm': 2.7899699211120605, 'learning_rate': 5.429936406411512e-06, 'epoch': 0.07}

 80%|███████▉  | 7969/10000 [20:26:19<4:05:31,  7.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.909954309463501, dino_loss: 0.68359375, depth_loss: 0.05290083587169647, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0023462772369385, dino_loss: 0.0, depth_loss: 0.06140004098415375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7970/10000 [20:26:28<4:23:29,  7.79s/it]
                                                         
{'loss': 2.146, 'grad_norm': 2.8030223846435547, 'learning_rate': 5.424792951772353e-06, 'epoch': 0.07}

 80%|███████▉  | 7970/10000 [20:26:28<4:23:29,  7.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7209880352020264, dino_loss: 0.69921875, depth_loss: 0.07024115324020386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9603464603424072, dino_loss: 0.7421875, depth_loss: 0.06015128642320633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7971/10000 [20:26:38<4:37:09,  8.20s/it]
                                                         
{'loss': 2.0158, 'grad_norm': 8.988554954528809, 'learning_rate': 5.419651637848417e-06, 'epoch': 0.07}

 80%|███████▉  | 7971/10000 [20:26:38<4:37:09,  8.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7016603946685791, dino_loss: 0.62890625, depth_loss: 0.07103832066059113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7724348902702332, dino_loss: 0.63671875, depth_loss: 0.03863198682665825, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7972/10000 [20:26:48<4:56:34,  8.77s/it]
                                                         
{'loss': 1.7211, 'grad_norm': 4.287391662597656, 'learning_rate': 5.4145124652019295e-06, 'epoch': 0.07}

 80%|███████▉  | 7972/10000 [20:26:48<4:56:34,  8.77s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9739213585853577, dino_loss: 0.6953125, depth_loss: 0.05269506201148033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7835743427276611, dino_loss: 0.58984375, depth_loss: 0.043708834797143936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7973/10000 [20:26:55<4:41:36,  8.34s/it]
                                                         
{'loss': 2.377, 'grad_norm': 6.1192216873168945, 'learning_rate': 5.4093754343949146e-06, 'epoch': 0.07}

 80%|███████▉  | 7973/10000 [20:26:55<4:41:36,  8.34s/it]the number of masks: 7
the number of masks: 8
seg_loss: 0.6418881416320801, dino_loss: 0.7734375, depth_loss: 0.05145866796374321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7336549162864685, dino_loss: 0.65234375, depth_loss: 0.06485800445079803, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7974/10000 [20:27:05<4:55:20,  8.75s/it]
                                                         
{'loss': 2.2868, 'grad_norm': 4.105865478515625, 'learning_rate': 5.404240545989145e-06, 'epoch': 0.07}

 80%|███████▉  | 7974/10000 [20:27:05<4:55:20,  8.75s/it]the number of masks: 8
seg_loss: 0.5890845060348511, dino_loss: 0.609375, depth_loss: 0.10780135542154312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8347371816635132, dino_loss: 0.69140625, depth_loss: 0.06937509775161743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7975/10000 [20:27:11<4:32:09,  8.06s/it]
                                                         
{'loss': 2.2522, 'grad_norm': 3.481978178024292, 'learning_rate': 5.399107800546177e-06, 'epoch': 0.07}

 80%|███████▉  | 7975/10000 [20:27:11<4:32:09,  8.06s/it]the number of masks: 8
seg_loss: 0.616947591304779, dino_loss: 0.6484375, depth_loss: 0.06380113214254379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8999795317649841, dino_loss: 0.65625, depth_loss: 0.06973771750926971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7976/10000 [20:27:18<4:22:37,  7.79s/it]
                                                         
{'loss': 1.8247, 'grad_norm': 7.118753433227539, 'learning_rate': 5.393977198627303e-06, 'epoch': 0.07}

 80%|███████▉  | 7976/10000 [20:27:18<4:22:37,  7.79s/it]the number of masks: 8
seg_loss: 0.7643411159515381, dino_loss: 0.6953125, depth_loss: 0.062436819076538086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6484799981117249, dino_loss: 0.60546875, depth_loss: 0.04742881655693054, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7977/10000 [20:27:25<4:07:09,  7.33s/it]
                                                         
{'loss': 2.2478, 'grad_norm': 7.5583977699279785, 'learning_rate': 5.388848740793612e-06, 'epoch': 0.07}

 80%|███████▉  | 7977/10000 [20:27:25<4:07:09,  7.33s/it]the number of masks: 8
seg_loss: 0.7572630047798157, dino_loss: 0.6796875, depth_loss: 0.06141291931271553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7434989213943481, dino_loss: 0.609375, depth_loss: 0.04738174006342888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7978/10000 [20:27:33<4:19:20,  7.70s/it]
                                                         
{'loss': 2.1176, 'grad_norm': 5.309566497802734, 'learning_rate': 5.383722427605931e-06, 'epoch': 0.07}

 80%|███████▉  | 7978/10000 [20:27:33<4:19:20,  7.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7104436159133911, dino_loss: 0.66015625, depth_loss: 0.04995981603860855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9791816473007202, dino_loss: 0.59375, depth_loss: 0.05725441128015518, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7979/10000 [20:27:41<4:22:30,  7.79s/it]
                                                         
{'loss': 2.0517, 'grad_norm': 3.382395029067993, 'learning_rate': 5.378598259624873e-06, 'epoch': 0.07}

 80%|███████▉  | 7979/10000 [20:27:41<4:22:30,  7.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.037722110748291, dino_loss: 0.6640625, depth_loss: 0.06328795105218887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6789811849594116, dino_loss: 0.0, depth_loss: 0.0689491406083107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7980/10000 [20:27:48<4:17:04,  7.64s/it]
                                                         
{'loss': 1.932, 'grad_norm': 7.700477600097656, 'learning_rate': 5.373476237410807e-06, 'epoch': 0.07}

 80%|███████▉  | 7980/10000 [20:27:48<4:17:04,  7.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9107292890548706, dino_loss: 0.765625, depth_loss: 0.08408361673355103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.8251473903656006, dino_loss: 0.6328125, depth_loss: 0.07555053383111954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7981/10000 [20:27:57<4:30:06,  8.03s/it]
                                                         
{'loss': 2.3306, 'grad_norm': 3.424539566040039, 'learning_rate': 5.368356361523879e-06, 'epoch': 0.07}

 80%|███████▉  | 7981/10000 [20:27:57<4:30:06,  8.03s/it]the number of masks: 8
seg_loss: 0.924596905708313, dino_loss: 0.70703125, depth_loss: 0.0730990469455719, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1024723052978516, dino_loss: 0.7421875, depth_loss: 0.0593971349298954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7982/10000 [20:28:03<4:01:02,  7.17s/it]
                                                         
{'loss': 2.5268, 'grad_norm': 3.10952091217041, 'learning_rate': 5.363238632523979e-06, 'epoch': 0.07}

 80%|███████▉  | 7982/10000 [20:28:03<4:01:02,  7.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8672832250595093, dino_loss: 0.71484375, depth_loss: 0.06555801630020142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9219578504562378, dino_loss: 0.65625, depth_loss: 0.05595658719539642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7983/10000 [20:28:12<4:18:57,  7.70s/it]
                                                         
{'loss': 2.046, 'grad_norm': 4.885530948638916, 'learning_rate': 5.3581230509707785e-06, 'epoch': 0.07}

 80%|███████▉  | 7983/10000 [20:28:12<4:18:57,  7.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9712395668029785, dino_loss: 0.71875, depth_loss: 0.05526541918516159, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7848989367485046, dino_loss: 0.65234375, depth_loss: 0.05077148601412773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7984/10000 [20:28:22<4:42:02,  8.39s/it]
                                                         
{'loss': 2.2824, 'grad_norm': 3.435837745666504, 'learning_rate': 5.353009617423715e-06, 'epoch': 0.07}

 80%|███████▉  | 7984/10000 [20:28:22<4:42:02,  8.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7696954607963562, dino_loss: 0.703125, depth_loss: 0.07390624284744263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9153487086296082, dino_loss: 0.71875, depth_loss: 0.06323493272066116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7985/10000 [20:28:31<4:48:22,  8.59s/it]
                                                         
{'loss': 2.3496, 'grad_norm': 12.303170204162598, 'learning_rate': 5.347898332441975e-06, 'epoch': 0.07}

 80%|███████▉  | 7985/10000 [20:28:31<4:48:22,  8.59s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8105807304382324, dino_loss: 0.62890625, depth_loss: 0.05714058130979538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.4805667996406555, dino_loss: 0.60546875, depth_loss: 0.04739758372306824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7986/10000 [20:28:38<4:38:31,  8.30s/it]
                                                         
{'loss': 1.7097, 'grad_norm': 6.923490524291992, 'learning_rate': 5.342789196584527e-06, 'epoch': 0.07}

 80%|███████▉  | 7986/10000 [20:28:38<4:38:31,  8.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8076149225234985, dino_loss: 0.66015625, depth_loss: 0.0491991862654686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.842843770980835, dino_loss: 0.68359375, depth_loss: 0.07256521284580231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7987/10000 [20:28:47<4:45:50,  8.52s/it]
                                                         
{'loss': 2.281, 'grad_norm': 3.115241050720215, 'learning_rate': 5.3376822104101e-06, 'epoch': 0.07}

 80%|███████▉  | 7987/10000 [20:28:47<4:45:50,  8.52s/it]the number of masks: 8
seg_loss: 0.8247805833816528, dino_loss: 0.6796875, depth_loss: 0.06517516076564789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7402574419975281, dino_loss: 0.6953125, depth_loss: 0.06752261519432068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7988/10000 [20:28:55<4:36:35,  8.25s/it]
                                                         
{'loss': 2.2815, 'grad_norm': 4.904194355010986, 'learning_rate': 5.332577374477188e-06, 'epoch': 0.07}

 80%|███████▉  | 7988/10000 [20:28:55<4:36:35,  8.25s/it]seg_loss: 0.0, dino_loss: 0.65234375, depth_loss: 0.060638803988695145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9879937767982483, dino_loss: 0.7109375, depth_loss: 0.05681026726961136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7989/10000 [20:29:00<4:09:43,  7.45s/it]
                                                         
{'loss': 2.2372, 'grad_norm': 2.011003255844116, 'learning_rate': 5.327474689344039e-06, 'epoch': 0.07}

 80%|███████▉  | 7989/10000 [20:29:00<4:09:43,  7.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8701047301292419, dino_loss: 0.73828125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9242368936538696, dino_loss: 0.6796875, depth_loss: 0.04848818480968475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7990/10000 [20:29:09<4:25:24,  7.92s/it]
                                                         
{'loss': 2.2093, 'grad_norm': 3.800586223602295, 'learning_rate': 5.322374155568688e-06, 'epoch': 0.07}

 80%|███████▉  | 7990/10000 [20:29:09<4:25:24,  7.92s/it]seg_loss: 0.0, dino_loss: 0.7109375, depth_loss: 0.058399852365255356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9855461120605469, dino_loss: 0.71875, depth_loss: 0.05163724347949028, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7991/10000 [20:29:16<4:11:34,  7.51s/it]
                                                         
{'loss': 2.0129, 'grad_norm': 5.2557902336120605, 'learning_rate': 5.317275773708907e-06, 'epoch': 0.07}

 80%|███████▉  | 7991/10000 [20:29:16<4:11:34,  7.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7691930532455444, dino_loss: 0.6328125, depth_loss: 0.06352025270462036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.7265625, depth_loss: 0.09225983917713165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7992/10000 [20:29:23<4:04:04,  7.29s/it]
                                                         
{'loss': 1.5262, 'grad_norm': 3.9482951164245605, 'learning_rate': 5.312179544322257e-06, 'epoch': 0.07}

 80%|███████▉  | 7992/10000 [20:29:23<4:04:04,  7.29s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9128736853599548, dino_loss: 0.83203125, depth_loss: 0.05571288615465164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9510155916213989, dino_loss: 0.6796875, depth_loss: 0.061588775366544724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7993/10000 [20:29:31<4:17:27,  7.70s/it]
                                                         
{'loss': 2.4913, 'grad_norm': 6.176761627197266, 'learning_rate': 5.30708546796605e-06, 'epoch': 0.07}

 80%|███████▉  | 7993/10000 [20:29:31<4:17:27,  7.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.999459981918335, dino_loss: 0.7421875, depth_loss: 0.06748133152723312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9901975393295288, dino_loss: 0.0, depth_loss: 0.04078267887234688, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7994/10000 [20:29:41<4:33:21,  8.18s/it]
                                                         
{'loss': 2.3241, 'grad_norm': 3.250336170196533, 'learning_rate': 5.301993545197376e-06, 'epoch': 0.07}

 80%|███████▉  | 7994/10000 [20:29:41<4:33:21,  8.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8629468083381653, dino_loss: 0.76953125, depth_loss: 0.0725630521774292, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8745125532150269, dino_loss: 0.66015625, depth_loss: 0.057646483182907104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7995/10000 [20:29:49<4:32:58,  8.17s/it]
                                                         
{'loss': 2.2769, 'grad_norm': 4.726370811462402, 'learning_rate': 5.296903776573065e-06, 'epoch': 0.07}

 80%|███████▉  | 7995/10000 [20:29:49<4:32:58,  8.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.667106568813324, dino_loss: 0.59375, depth_loss: 0.051181942224502563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9061288833618164, dino_loss: 0.71484375, depth_loss: 0.1029440388083458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7996/10000 [20:29:56<4:25:01,  7.93s/it]
                                                         
{'loss': 2.4135, 'grad_norm': 3.808352470397949, 'learning_rate': 5.29181616264974e-06, 'epoch': 0.07}

 80%|███████▉  | 7996/10000 [20:29:56<4:25:01,  7.93s/it]the number of masks: 2
the number of masks: 8
seg_loss: 0.5956369042396545, dino_loss: 0.64453125, depth_loss: 0.03815716505050659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9148051738739014, dino_loss: 0.66796875, depth_loss: 0.06630966812372208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7997/10000 [20:30:05<4:28:21,  8.04s/it]
                                                         
{'loss': 1.8093, 'grad_norm': 3.0233800411224365, 'learning_rate': 5.286730703983764e-06, 'epoch': 0.07}

 80%|███████▉  | 7997/10000 [20:30:05<4:28:21,  8.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8462476134300232, dino_loss: 0.65625, depth_loss: 0.06865518540143967, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7701681852340698, dino_loss: 0.6953125, depth_loss: 0.05843101441860199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7998/10000 [20:30:13<4:34:15,  8.22s/it]
                                                         
{'loss': 2.0759, 'grad_norm': 3.3666021823883057, 'learning_rate': 5.281647401131279e-06, 'epoch': 0.07}

 80%|███████▉  | 7998/10000 [20:30:13<4:34:15,  8.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7421871423721313, dino_loss: 0.6640625, depth_loss: 0.05545523017644882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8628321290016174, dino_loss: 0.65625, depth_loss: 0.0626441165804863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|███████▉  | 7999/10000 [20:30:23<4:52:44,  8.78s/it]
                                                         
{'loss': 1.9827, 'grad_norm': 3.5234620571136475, 'learning_rate': 5.276566254648188e-06, 'epoch': 0.07}

 80%|███████▉  | 7999/10000 [20:30:23<4:52:44,  8.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9237023591995239, dino_loss: 0.70703125, depth_loss: 0.050063133239746094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8275688886642456, dino_loss: 0.63671875, depth_loss: 0.04922717064619064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8000/10000 [20:30:32<4:50:05,  8.70s/it]
                                                         
{'loss': 2.0278, 'grad_norm': 4.674970626831055, 'learning_rate': 5.271487265090163e-06, 'epoch': 0.07}

 80%|████████  | 8000/10000 [20:30:32<4:50:05,  8.70s/it]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
/root/miniconda3/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
  warnings.warn(  # warn only once
/root/miniconda3/lib/python3.12/site-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
the number of masks: 8
the number of masks: 8
seg_loss: 0.905906081199646, dino_loss: 0.6796875, depth_loss: 0.07790520787239075, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7175612449645996, dino_loss: 0.6640625, depth_loss: 0.03799581900238991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8001/10000 [20:31:58<17:41:30, 31.86s/it]
                                                          
{'loss': 2.3026, 'grad_norm': 10.698720932006836, 'learning_rate': 5.266410433012623e-06, 'epoch': 0.07}

 80%|████████  | 8001/10000 [20:31:58<17:41:30, 31.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6756918430328369, dino_loss: 0.6015625, depth_loss: 0.053288936614990234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8742600083351135, dino_loss: 0.6484375, depth_loss: 0.051709599792957306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8002/10000 [20:32:06<13:43:00, 24.71s/it]
                                                          
{'loss': 2.171, 'grad_norm': 12.11295223236084, 'learning_rate': 5.261335758970779e-06, 'epoch': 0.07}

 80%|████████  | 8002/10000 [20:32:06<13:43:00, 24.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.660969614982605, dino_loss: 0.6640625, depth_loss: 0.05905722826719284, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.641870379447937, dino_loss: 0.640625, depth_loss: 0.05075060576200485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8003/10000 [20:32:16<11:18:25, 20.38s/it]
                                                          
{'loss': 2.0894, 'grad_norm': 3.7586216926574707, 'learning_rate': 5.256263243519569e-06, 'epoch': 0.07}

 80%|████████  | 8003/10000 [20:32:16<11:18:25, 20.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0852105617523193, dino_loss: 0.66796875, depth_loss: 0.06364493072032928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7370371222496033, dino_loss: 0.67578125, depth_loss: 0.04742411896586418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8004/10000 [20:32:27<9:43:35, 17.54s/it] 
                                                         
{'loss': 2.7141, 'grad_norm': 5.0298171043396, 'learning_rate': 5.251192887213727e-06, 'epoch': 0.07}

 80%|████████  | 8004/10000 [20:32:27<9:43:35, 17.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9855667948722839, dino_loss: 0.7109375, depth_loss: 0.06641329824924469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.4838143587112427, dino_loss: 0.625, depth_loss: 0.12308773398399353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8005/10000 [20:32:36<8:14:56, 14.89s/it]
                                                         
{'loss': 2.4436, 'grad_norm': 6.362967491149902, 'learning_rate': 5.24612469060774e-06, 'epoch': 0.07}

 80%|████████  | 8005/10000 [20:32:36<8:14:56, 14.89s/it]seg_loss: 0.0, dino_loss: 0.69921875, depth_loss: 0.052982501685619354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8276232481002808, dino_loss: 0.6640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8006/10000 [20:32:41<6:42:19, 12.11s/it]
                                                         
{'loss': 1.9603, 'grad_norm': 2.5163543224334717, 'learning_rate': 5.241058654255865e-06, 'epoch': 0.07}

 80%|████████  | 8006/10000 [20:32:41<6:42:19, 12.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8736456632614136, dino_loss: 0.6328125, depth_loss: 0.05825405940413475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0180633068084717, dino_loss: 0.58203125, depth_loss: 0.05293215438723564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8007/10000 [20:32:49<5:54:14, 10.66s/it]
                                                         
{'loss': 2.1782, 'grad_norm': 7.505345344543457, 'learning_rate': 5.2359947787121e-06, 'epoch': 0.07}

 80%|████████  | 8007/10000 [20:32:49<5:54:14, 10.66s/it]seg_loss: 0.0, dino_loss: 0.70703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.18783719837665558, dino_loss: 0.498046875, depth_loss: 0.058362435549497604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8008/10000 [20:32:53<4:49:28,  8.72s/it]
                                                         
{'loss': 1.3117, 'grad_norm': 2.330294132232666, 'learning_rate': 5.23093306453023e-06, 'epoch': 0.07}

 80%|████████  | 8008/10000 [20:32:53<4:49:28,  8.72s/it]the number of masks: 8
seg_loss: 0.8312602043151855, dino_loss: 0.625, depth_loss: 0.059447892010211945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5657001733779907, dino_loss: 0.6484375, depth_loss: 0.055724333971738815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8009/10000 [20:32:59<4:27:36,  8.06s/it]
                                                         
{'loss': 1.9004, 'grad_norm': 6.6266326904296875, 'learning_rate': 5.2258735122638066e-06, 'epoch': 0.07}

 80%|████████  | 8009/10000 [20:32:59<4:27:36,  8.06s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8641183376312256, dino_loss: 0.65234375, depth_loss: 0.0727122351527214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9182274341583252, dino_loss: 0.69140625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8010/10000 [20:33:05<4:04:41,  7.38s/it]
                                                         
{'loss': 2.2289, 'grad_norm': 6.195849895477295, 'learning_rate': 5.220816122466119e-06, 'epoch': 0.07}

 80%|████████  | 8010/10000 [20:33:05<4:04:41,  7.38s/it]seg_loss: 0.0, dino_loss: 0.796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8583426475524902, dino_loss: 0.71484375, depth_loss: 0.08286134898662567, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8011/10000 [20:33:09<3:30:28,  6.35s/it]
                                                         
{'loss': 1.9963, 'grad_norm': 5.533253192901611, 'learning_rate': 5.215760895690244e-06, 'epoch': 0.07}

 80%|████████  | 8011/10000 [20:33:09<3:30:28,  6.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9411713480949402, dino_loss: 0.70703125, depth_loss: 0.0702429860830307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8832657933235168, dino_loss: 0.69921875, depth_loss: 0.05716484785079956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8012/10000 [20:33:18<3:52:50,  7.03s/it]
                                                         
{'loss': 2.2458, 'grad_norm': 3.592759847640991, 'learning_rate': 5.2107078324890095e-06, 'epoch': 0.07}

 80%|████████  | 8012/10000 [20:33:18<3:52:50,  7.03s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.821009635925293, dino_loss: 0.71484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0788331031799316, dino_loss: 0.671875, depth_loss: 0.07108453661203384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8013/10000 [20:33:25<3:52:18,  7.01s/it]
                                                         
{'loss': 2.2839, 'grad_norm': 4.756929874420166, 'learning_rate': 5.205656933415021e-06, 'epoch': 0.07}

 80%|████████  | 8013/10000 [20:33:25<3:52:18,  7.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5675495862960815, dino_loss: 0.65625, depth_loss: 0.06573908030986786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5467996597290039, dino_loss: 0.50390625, depth_loss: 0.030990850180387497, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8014/10000 [20:33:32<3:55:26,  7.11s/it]
                                                         
{'loss': 1.2391, 'grad_norm': 3.7918291091918945, 'learning_rate': 5.200608199020623e-06, 'epoch': 0.07}

 80%|████████  | 8014/10000 [20:33:32<3:55:26,  7.11s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7639204859733582, dino_loss: 0.68359375, depth_loss: 0.06721112132072449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8646392226219177, dino_loss: 0.66015625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8015/10000 [20:33:40<4:07:48,  7.49s/it]
                                                         
{'loss': 2.396, 'grad_norm': 2.6172335147857666, 'learning_rate': 5.195561629857953e-06, 'epoch': 0.07}

 80%|████████  | 8015/10000 [20:33:40<4:07:48,  7.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6184720993041992, dino_loss: 0.6875, depth_loss: 0.05350218713283539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6691279411315918, dino_loss: 0.70703125, depth_loss: 0.06654767692089081, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8016/10000 [20:33:49<4:16:38,  7.76s/it]
                                                         
{'loss': 2.5929, 'grad_norm': 4.974972724914551, 'learning_rate': 5.19051722647888e-06, 'epoch': 0.07}

 80%|████████  | 8016/10000 [20:33:49<4:16:38,  7.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8243741989135742, dino_loss: 0.65234375, depth_loss: 0.06260526180267334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4920809864997864, dino_loss: 0.66796875, depth_loss: 0.05094974488019943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8017/10000 [20:33:55<4:02:41,  7.34s/it]
                                                         
{'loss': 1.7006, 'grad_norm': 4.317474365234375, 'learning_rate': 5.18547498943506e-06, 'epoch': 0.07}

 80%|████████  | 8017/10000 [20:33:55<4:02:41,  7.34s/it]the number of masks: 8
seg_loss: 0.7486396431922913, dino_loss: 0.66796875, depth_loss: 0.07216871529817581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0652819871902466, dino_loss: 0.6953125, depth_loss: 0.084156833589077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8018/10000 [20:34:01<3:50:07,  6.97s/it]
                                                         
{'loss': 2.1803, 'grad_norm': 4.2846527099609375, 'learning_rate': 5.1804349192779044e-06, 'epoch': 0.07}

 80%|████████  | 8018/10000 [20:34:01<3:50:07,  6.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9075984954833984, dino_loss: 0.6640625, depth_loss: 0.05910719186067581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9628280401229858, dino_loss: 0.71875, depth_loss: 0.09615588188171387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8019/10000 [20:34:10<4:08:15,  7.52s/it]
                                                         
{'loss': 2.6553, 'grad_norm': 3.7990076541900635, 'learning_rate': 5.175397016558594e-06, 'epoch': 0.07}

 80%|████████  | 8019/10000 [20:34:10<4:08:15,  7.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0002939701080322, dino_loss: 0.75390625, depth_loss: 0.06433644145727158, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8415161967277527, dino_loss: 0.7109375, depth_loss: 0.06791475415229797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8020/10000 [20:34:19<4:19:45,  7.87s/it]
                                                         
{'loss': 2.4675, 'grad_norm': 4.908000946044922, 'learning_rate': 5.170361281828054e-06, 'epoch': 0.07}

 80%|████████  | 8020/10000 [20:34:19<4:19:45,  7.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9015949964523315, dino_loss: 0.7109375, depth_loss: 0.06493304669857025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.8330434560775757, dino_loss: 0.703125, depth_loss: 0.04974886402487755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8021/10000 [20:34:30<4:50:29,  8.81s/it]
                                                         
{'loss': 2.0473, 'grad_norm': 5.2338385581970215, 'learning_rate': 5.165327715636997e-06, 'epoch': 0.07}

 80%|████████  | 8021/10000 [20:34:30<4:50:29,  8.81s/it]the number of masks: 8
seg_loss: 0.33402225375175476, dino_loss: 0.65625, depth_loss: 0.05013775825500488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7802141904830933, dino_loss: 0.69140625, depth_loss: 0.06765542179346085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8022/10000 [20:34:37<4:38:10,  8.44s/it]
                                                         
{'loss': 2.2208, 'grad_norm': 3.8435373306274414, 'learning_rate': 5.160296318535876e-06, 'epoch': 0.07}

 80%|████████  | 8022/10000 [20:34:37<4:38:10,  8.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7102395296096802, dino_loss: 0.625, depth_loss: 0.03644435107707977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8767277598381042, dino_loss: 0.63671875, depth_loss: 0.046428125351667404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8023/10000 [20:34:46<4:39:38,  8.49s/it]
                                                         
{'loss': 2.4623, 'grad_norm': 4.415232181549072, 'learning_rate': 5.155267091074916e-06, 'epoch': 0.07}

 80%|████████  | 8023/10000 [20:34:46<4:39:38,  8.49s/it]the number of masks: 8
seg_loss: 0.7564965486526489, dino_loss: 0.69140625, depth_loss: 0.0627204030752182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7809290289878845, dino_loss: 0.71875, depth_loss: 0.05940233916044235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8024/10000 [20:34:53<4:25:05,  8.05s/it]
                                                         
{'loss': 1.9877, 'grad_norm': 4.563153266906738, 'learning_rate': 5.150240033804116e-06, 'epoch': 0.07}

 80%|████████  | 8024/10000 [20:34:53<4:25:05,  8.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0446083545684814, dino_loss: 0.76953125, depth_loss: 0.07078013569116592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9801689386367798, dino_loss: 0.609375, depth_loss: 0.047475602477788925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8025/10000 [20:35:02<4:38:48,  8.47s/it]
                                                         
{'loss': 2.867, 'grad_norm': 5.581306457519531, 'learning_rate': 5.145215147273224e-06, 'epoch': 0.07}

 80%|████████  | 8025/10000 [20:35:02<4:38:48,  8.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.745517909526825, dino_loss: 0.6328125, depth_loss: 0.05087662488222122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8659847974777222, dino_loss: 0.609375, depth_loss: 0.051067810505628586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8026/10000 [20:35:12<4:53:40,  8.93s/it]
                                                         
{'loss': 1.7148, 'grad_norm': 2.826320171356201, 'learning_rate': 5.1401924320317485e-06, 'epoch': 0.07}

 80%|████████  | 8026/10000 [20:35:12<4:53:40,  8.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7663054466247559, dino_loss: 0.62109375, depth_loss: 0.052123717963695526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8661453723907471, dino_loss: 0.6484375, depth_loss: 0.06596996635198593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8027/10000 [20:35:21<4:47:00,  8.73s/it]
                                                         
{'loss': 2.1558, 'grad_norm': 3.493396043777466, 'learning_rate': 5.135171888628975e-06, 'epoch': 0.07}

 80%|████████  | 8027/10000 [20:35:21<4:47:00,  8.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7121443152427673, dino_loss: 0.69140625, depth_loss: 0.057763464748859406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7236323356628418, dino_loss: 0.6640625, depth_loss: 0.06413689255714417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8028/10000 [20:35:30<4:58:52,  9.09s/it]
                                                         
{'loss': 2.3659, 'grad_norm': 2.452493667602539, 'learning_rate': 5.130153517613934e-06, 'epoch': 0.07}

 80%|████████  | 8028/10000 [20:35:30<4:58:52,  9.09s/it]seg_loss: 0.0, dino_loss: 0.68359375, depth_loss: 0.04500524327158928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8539121150970459, dino_loss: 0.66796875, depth_loss: 0.06939512491226196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8029/10000 [20:35:39<4:49:03,  8.80s/it]
                                                         
{'loss': 2.0986, 'grad_norm': 5.143001079559326, 'learning_rate': 5.125137319535428e-06, 'epoch': 0.07}

 80%|████████  | 8029/10000 [20:35:39<4:49:03,  8.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.904116690158844, dino_loss: 0.69140625, depth_loss: 0.06563343852758408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9267675876617432, dino_loss: 0.66796875, depth_loss: 0.0365682914853096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8030/10000 [20:35:49<5:04:45,  9.28s/it]
                                                         
{'loss': 2.5318, 'grad_norm': 3.6587374210357666, 'learning_rate': 5.120123294942022e-06, 'epoch': 0.07}

 80%|████████  | 8030/10000 [20:35:49<5:04:45,  9.28s/it]the number of masks: 8
seg_loss: 1.1395173072814941, dino_loss: 0.69921875, depth_loss: 0.045547161251306534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6721426248550415, dino_loss: 0.6171875, depth_loss: 0.04521467536687851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8031/10000 [20:35:56<4:40:19,  8.54s/it]
                                                         
{'loss': 2.0891, 'grad_norm': 4.181732654571533, 'learning_rate': 5.115111444382053e-06, 'epoch': 0.07}

 80%|████████  | 8031/10000 [20:35:56<4:40:19,  8.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7357321381568909, dino_loss: 0.67578125, depth_loss: 0.062362514436244965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.671875, depth_loss: 0.06237037107348442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8032/10000 [20:36:02<4:12:05,  7.69s/it]
                                                         
{'loss': 1.8566, 'grad_norm': 4.060449600219727, 'learning_rate': 5.110101768403591e-06, 'epoch': 0.07}

 80%|████████  | 8032/10000 [20:36:02<4:12:05,  7.69s/it]seg_loss: 0.0, dino_loss: 0.703125, depth_loss: 0.059604711830616, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6090990304946899, dino_loss: 0.62890625, depth_loss: 0.038967736065387726, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8033/10000 [20:36:08<4:04:46,  7.47s/it]
                                                         
{'loss': 1.8242, 'grad_norm': 4.2309651374816895, 'learning_rate': 5.1050942675544975e-06, 'epoch': 0.07}

 80%|████████  | 8033/10000 [20:36:08<4:04:46,  7.47s/it]the number of masks: 8
seg_loss: 0.9011719226837158, dino_loss: 0.72265625, depth_loss: 0.05175112932920456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.615689218044281, dino_loss: 0.609375, depth_loss: 0.050621017813682556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8034/10000 [20:36:16<4:05:13,  7.48s/it]
                                                         
{'loss': 1.87, 'grad_norm': 4.888251304626465, 'learning_rate': 5.100088942382389e-06, 'epoch': 0.07}

 80%|████████  | 8034/10000 [20:36:16<4:05:13,  7.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8225008845329285, dino_loss: 0.703125, depth_loss: 0.06140684708952904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8286954164505005, dino_loss: 0.70703125, depth_loss: 0.05580952391028404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8035/10000 [20:36:25<4:17:30,  7.86s/it]
                                                         
{'loss': 2.1029, 'grad_norm': 3.99381160736084, 'learning_rate': 5.095085793434629e-06, 'epoch': 0.07}

 80%|████████  | 8035/10000 [20:36:25<4:17:30,  7.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7466078996658325, dino_loss: 0.65625, depth_loss: 0.05613863840699196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4514348804950714, dino_loss: 0.625, depth_loss: 0.0506850965321064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8036/10000 [20:36:33<4:21:46,  8.00s/it]
                                                         
{'loss': 2.4805, 'grad_norm': 5.308014392852783, 'learning_rate': 5.090084821258359e-06, 'epoch': 0.07}

 80%|████████  | 8036/10000 [20:36:33<4:21:46,  8.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6447899341583252, dino_loss: 0.625, depth_loss: 0.06365248560905457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8776986598968506, dino_loss: 0.71484375, depth_loss: 0.051189124584198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8037/10000 [20:36:41<4:22:03,  8.01s/it]
                                                         
{'loss': 2.0844, 'grad_norm': 2.3711884021759033, 'learning_rate': 5.0850860264004795e-06, 'epoch': 0.07}

 80%|████████  | 8037/10000 [20:36:41<4:22:03,  8.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9917724132537842, dino_loss: 0.6953125, depth_loss: 0.06315441429615021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8740856647491455, dino_loss: 0.640625, depth_loss: 0.058811455965042114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8038/10000 [20:36:50<4:35:29,  8.42s/it]
                                                         
{'loss': 2.2714, 'grad_norm': 4.276729583740234, 'learning_rate': 5.0800894094076565e-06, 'epoch': 0.07}

 80%|████████  | 8038/10000 [20:36:50<4:35:29,  8.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9257698059082031, dino_loss: 0.6796875, depth_loss: 0.06195737421512604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8863610029220581, dino_loss: 0.7265625, depth_loss: 0.05237486958503723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8039/10000 [20:36:59<4:34:01,  8.38s/it]
                                                         
{'loss': 2.3365, 'grad_norm': 2.7194299697875977, 'learning_rate': 5.075094970826299e-06, 'epoch': 0.07}

 80%|████████  | 8039/10000 [20:36:59<4:34:01,  8.38s/it]seg_loss: 0.0, dino_loss: 0.6640625, depth_loss: 0.08091765642166138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8079079389572144, dino_loss: 0.703125, depth_loss: 0.058011025190353394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8040/10000 [20:37:06<4:18:04,  7.90s/it]
                                                         
{'loss': 1.7361, 'grad_norm': 4.356042861938477, 'learning_rate': 5.070102711202607e-06, 'epoch': 0.07}

 80%|████████  | 8040/10000 [20:37:06<4:18:04,  7.90s/it]the number of masks: 8
seg_loss: 1.0226783752441406, dino_loss: 0.77734375, depth_loss: 0.07405959069728851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.728712797164917, dino_loss: 0.7421875, depth_loss: 0.07422824949026108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8041/10000 [20:37:11<3:58:02,  7.29s/it]
                                                         
{'loss': 2.0726, 'grad_norm': 3.703712224960327, 'learning_rate': 5.065112631082511e-06, 'epoch': 0.07}

 80%|████████  | 8041/10000 [20:37:11<3:58:02,  7.29s/it]the number of masks: 8
seg_loss: 0.3540401756763458, dino_loss: 0.58984375, depth_loss: 0.06767149269580841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.42187175154685974, dino_loss: 0.67578125, depth_loss: 0.08816453814506531, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8042/10000 [20:37:18<3:53:58,  7.17s/it]
                                                         
{'loss': 2.339, 'grad_norm': 3.6432595252990723, 'learning_rate': 5.060124731011734e-06, 'epoch': 0.07}

 80%|████████  | 8042/10000 [20:37:18<3:53:58,  7.17s/it]the number of masks: 8
seg_loss: 0.9092180728912354, dino_loss: 0.63671875, depth_loss: 0.05007542297244072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9401917457580566, dino_loss: 0.7109375, depth_loss: 0.05869286507368088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8043/10000 [20:37:25<3:50:29,  7.07s/it]
                                                         
{'loss': 2.4593, 'grad_norm': 5.572717189788818, 'learning_rate': 5.055139011535723e-06, 'epoch': 0.07}

 80%|████████  | 8043/10000 [20:37:25<3:50:29,  7.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0913258790969849, dino_loss: 0.625, depth_loss: 0.09071701765060425, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9204627275466919, dino_loss: 0.703125, depth_loss: 0.06996326148509979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8044/10000 [20:37:34<4:11:03,  7.70s/it]
                                                         
{'loss': 2.6353, 'grad_norm': 3.1216776371002197, 'learning_rate': 5.0501554731997356e-06, 'epoch': 0.07}

 80%|████████  | 8044/10000 [20:37:34<4:11:03,  7.70s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9101918935775757, dino_loss: 0.73828125, depth_loss: 0.07232481241226196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8569574356079102, dino_loss: 0.70703125, depth_loss: 0.07095447927713394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8045/10000 [20:37:43<4:20:14,  7.99s/it]
                                                         
{'loss': 2.4828, 'grad_norm': 5.786590099334717, 'learning_rate': 5.045174116548745e-06, 'epoch': 0.07}

 80%|████████  | 8045/10000 [20:37:43<4:20:14,  7.99s/it]the number of masks: 8
seg_loss: 0.7395137548446655, dino_loss: 0.6328125, depth_loss: 0.04448719695210457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8808257579803467, dino_loss: 0.66015625, depth_loss: 0.04812880605459213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8046/10000 [20:37:50<4:13:37,  7.79s/it]
                                                         
{'loss': 2.5644, 'grad_norm': 8.50501823425293, 'learning_rate': 5.040194942127518e-06, 'epoch': 0.07}

 80%|████████  | 8046/10000 [20:37:50<4:13:37,  7.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9779741764068604, dino_loss: 0.65625, depth_loss: 0.06746738404035568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9552041888237, dino_loss: 0.59375, depth_loss: 0.06016891449689865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8047/10000 [20:37:58<4:09:59,  7.68s/it]
                                                         
{'loss': 2.3175, 'grad_norm': 8.962992668151855, 'learning_rate': 5.035217950480559e-06, 'epoch': 0.07}

 80%|████████  | 8047/10000 [20:37:58<4:09:59,  7.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8420379161834717, dino_loss: 0.69921875, depth_loss: 0.07265933603048325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8624832034111023, dino_loss: 0.69140625, depth_loss: 0.07584917545318604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8048/10000 [20:38:06<4:13:41,  7.80s/it]
                                                         
{'loss': 2.0984, 'grad_norm': 3.461604595184326, 'learning_rate': 5.030243142152152e-06, 'epoch': 0.07}

 80%|████████  | 8048/10000 [20:38:06<4:13:41,  7.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6390595436096191, dino_loss: 0.57421875, depth_loss: 0.05308385193347931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9234956502914429, dino_loss: 0.69140625, depth_loss: 0.05260052531957626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8049/10000 [20:38:13<4:05:11,  7.54s/it]
                                                         
{'loss': 1.6863, 'grad_norm': 3.8281564712524414, 'learning_rate': 5.025270517686317e-06, 'epoch': 0.07}

 80%|████████  | 8049/10000 [20:38:13<4:05:11,  7.54s/it]the number of masks: 8
the number of masks: 6
seg_loss: 0.5817432403564453, dino_loss: 0.78125, depth_loss: 0.043087102472782135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9140005111694336, dino_loss: 0.62109375, depth_loss: 0.05516714230179787, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 80%|████████  | 8050/10000 [20:38:21<4:12:19,  7.76s/it]
                                                         
{'loss': 2.3817, 'grad_norm': 3.3017234802246094, 'learning_rate': 5.0203000776268825e-06, 'epoch': 0.07}

 80%|████████  | 8050/10000 [20:38:21<4:12:19,  7.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7434160113334656, dino_loss: 0.66015625, depth_loss: 0.07689674943685532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8026943802833557, dino_loss: 0.65625, depth_loss: 0.08486229181289673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8051/10000 [20:38:31<4:36:00,  8.50s/it]
                                                         
{'loss': 1.7859, 'grad_norm': 3.0472280979156494, 'learning_rate': 5.015331822517386e-06, 'epoch': 0.07}

 81%|████████  | 8051/10000 [20:38:31<4:36:00,  8.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9392459392547607, dino_loss: 0.609375, depth_loss: 0.05708526074886322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6781122088432312, dino_loss: 0.703125, depth_loss: 0.06891190260648727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8052/10000 [20:38:39<4:30:04,  8.32s/it]
                                                         
{'loss': 2.0638, 'grad_norm': 3.474152088165283, 'learning_rate': 5.010365752901158e-06, 'epoch': 0.07}

 81%|████████  | 8052/10000 [20:38:39<4:30:04,  8.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7786006331443787, dino_loss: 0.6484375, depth_loss: 0.04179142415523529, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9320471882820129, dino_loss: 0.65625, depth_loss: 0.056938134133815765, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8053/10000 [20:38:47<4:26:19,  8.21s/it]
                                                         
{'loss': 1.7813, 'grad_norm': 3.506176471710205, 'learning_rate': 5.005401869321275e-06, 'epoch': 0.07}

 81%|████████  | 8053/10000 [20:38:47<4:26:19,  8.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9505198001861572, dino_loss: 0.6953125, depth_loss: 0.0709732323884964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9470374584197998, dino_loss: 0.70703125, depth_loss: 0.09210904687643051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8054/10000 [20:38:56<4:35:18,  8.49s/it]
                                                         
{'loss': 2.2513, 'grad_norm': 3.534451723098755, 'learning_rate': 5.000440172320581e-06, 'epoch': 0.07}

 81%|████████  | 8054/10000 [20:38:56<4:35:18,  8.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7257484793663025, dino_loss: 0.64453125, depth_loss: 0.0789961963891983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5905132293701172, dino_loss: 0.65234375, depth_loss: 0.05888381600379944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8055/10000 [20:39:05<4:42:21,  8.71s/it]
                                                         
{'loss': 1.437, 'grad_norm': 3.2104244232177734, 'learning_rate': 4.995480662441679e-06, 'epoch': 0.07}

 81%|████████  | 8055/10000 [20:39:05<4:42:21,  8.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6012372970581055, dino_loss: 0.72265625, depth_loss: 0.06552910804748535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8628998398780823, dino_loss: 0.66796875, depth_loss: 0.05623186379671097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8056/10000 [20:39:15<4:50:02,  8.95s/it]
                                                         
{'loss': 2.2764, 'grad_norm': 20.96497344970703, 'learning_rate': 4.990523340226943e-06, 'epoch': 0.07}

 81%|████████  | 8056/10000 [20:39:15<4:50:02,  8.95s/it]the number of masks: 8
seg_loss: 0.754956841468811, dino_loss: 0.69921875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7142277956008911, dino_loss: 0.64453125, depth_loss: 0.08794881403446198, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8057/10000 [20:39:21<4:22:27,  8.10s/it]
                                                         
{'loss': 1.9796, 'grad_norm': 5.513859748840332, 'learning_rate': 4.985568206218483e-06, 'epoch': 0.07}

 81%|████████  | 8057/10000 [20:39:21<4:22:27,  8.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7843183875083923, dino_loss: 0.6953125, depth_loss: 0.05379791930317879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8149514198303223, dino_loss: 0.69921875, depth_loss: 0.04930270463228226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8058/10000 [20:39:29<4:21:19,  8.07s/it]
                                                         
{'loss': 2.0721, 'grad_norm': 3.3847713470458984, 'learning_rate': 4.980615260958193e-06, 'epoch': 0.07}

 81%|████████  | 8058/10000 [20:39:29<4:21:19,  8.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9036539793014526, dino_loss: 0.71875, depth_loss: 0.08577586710453033, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4991186559200287, dino_loss: 0.50390625, depth_loss: 0.047441691160202026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8059/10000 [20:39:37<4:17:11,  7.95s/it]
                                                         
{'loss': 2.5278, 'grad_norm': 2.8092761039733887, 'learning_rate': 4.975664504987729e-06, 'epoch': 0.07}

 81%|████████  | 8059/10000 [20:39:37<4:17:11,  7.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8865522146224976, dino_loss: 0.65234375, depth_loss: 0.08936688303947449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7292273640632629, dino_loss: 0.51953125, depth_loss: 0.06632475554943085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8060/10000 [20:39:46<4:28:03,  8.29s/it]
                                                         
{'loss': 2.0729, 'grad_norm': 3.3181934356689453, 'learning_rate': 4.970715938848478e-06, 'epoch': 0.07}

 81%|████████  | 8060/10000 [20:39:46<4:28:03,  8.29s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7298845648765564, dino_loss: 0.5, depth_loss: 0.041244927793741226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7736981511116028, dino_loss: 0.50390625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8061/10000 [20:39:57<4:53:18,  9.08s/it]
                                                         
{'loss': 1.9293, 'grad_norm': 4.648528575897217, 'learning_rate': 4.965769563081627e-06, 'epoch': 0.07}

 81%|████████  | 8061/10000 [20:39:57<4:53:18,  9.08s/it]the number of masks: 8
seg_loss: 0.3808700740337372, dino_loss: 0.55859375, depth_loss: 0.053297318518161774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7171875238418579, dino_loss: 0.6640625, depth_loss: 0.06431852281093597, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8062/10000 [20:40:04<4:35:03,  8.52s/it]
                                                         
{'loss': 2.361, 'grad_norm': 2.5261178016662598, 'learning_rate': 4.960825378228082e-06, 'epoch': 0.07}

 81%|████████  | 8062/10000 [20:40:04<4:35:03,  8.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8336071372032166, dino_loss: 0.71484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 7
the number of masks: 8
seg_loss: 0.719831645488739, dino_loss: 0.6328125, depth_loss: 0.05108775943517685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8063/10000 [20:40:15<4:56:27,  9.18s/it]
                                                         
{'loss': 2.1771, 'grad_norm': 4.621703147888184, 'learning_rate': 4.955883384828558e-06, 'epoch': 0.07}

 81%|████████  | 8063/10000 [20:40:15<4:56:27,  9.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8872256278991699, dino_loss: 0.6484375, depth_loss: 0.04153301566839218, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.004939079284668, dino_loss: 0.625, depth_loss: 0.037573497742414474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8064/10000 [20:40:24<4:56:57,  9.20s/it]
                                                         
{'loss': 2.0185, 'grad_norm': 4.32227087020874, 'learning_rate': 4.9509435834234865e-06, 'epoch': 0.07}

 81%|████████  | 8064/10000 [20:40:24<4:56:57,  9.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9385199546813965, dino_loss: 0.6875, depth_loss: 0.06809985637664795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9391986727714539, dino_loss: 0.70703125, depth_loss: 0.06301151216030121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8065/10000 [20:40:32<4:45:50,  8.86s/it]
                                                         
{'loss': 2.2972, 'grad_norm': 6.489043712615967, 'learning_rate': 4.946005974553086e-06, 'epoch': 0.07}

 81%|████████  | 8065/10000 [20:40:32<4:45:50,  8.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6739685535430908, dino_loss: 0.6171875, depth_loss: 0.041672468185424805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.043431043624878, dino_loss: 0.671875, depth_loss: 0.049993570894002914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8066/10000 [20:40:40<4:34:15,  8.51s/it]
                                                         
{'loss': 2.5066, 'grad_norm': 6.187016487121582, 'learning_rate': 4.941070558757316e-06, 'epoch': 0.07}

 81%|████████  | 8066/10000 [20:40:40<4:34:15,  8.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8440515398979187, dino_loss: 0.69921875, depth_loss: 0.0566532202064991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8006274104118347, dino_loss: 0.6953125, depth_loss: 0.055395469069480896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8067/10000 [20:40:48<4:33:57,  8.50s/it]
                                                         
{'loss': 2.2097, 'grad_norm': 3.327071189880371, 'learning_rate': 4.936137336575916e-06, 'epoch': 0.07}

 81%|████████  | 8067/10000 [20:40:48<4:33:57,  8.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8542883396148682, dino_loss: 0.71484375, depth_loss: 0.07431339472532272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.566207766532898, dino_loss: 0.6328125, depth_loss: 0.049729377031326294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8068/10000 [20:40:55<4:21:16,  8.11s/it]
                                                         
{'loss': 2.072, 'grad_norm': 3.7357521057128906, 'learning_rate': 4.931206308548361e-06, 'epoch': 0.07}

 81%|████████  | 8068/10000 [20:40:55<4:21:16,  8.11s/it]seg_loss: 0.0, dino_loss: 0.79296875, depth_loss: 0.06968504190444946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7188317179679871, dino_loss: 0.6328125, depth_loss: 0.06526856124401093, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8069/10000 [20:41:01<4:00:01,  7.46s/it]
                                                         
{'loss': 1.8172, 'grad_norm': 2.406799077987671, 'learning_rate': 4.926277475213923e-06, 'epoch': 0.07}

 81%|████████  | 8069/10000 [20:41:01<4:00:01,  7.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9955680966377258, dino_loss: 0.68359375, depth_loss: 0.03229658678174019, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7471807599067688, dino_loss: 0.7109375, depth_loss: 0.09314633905887604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8070/10000 [20:41:07<3:47:20,  7.07s/it]
                                                         
{'loss': 2.5525, 'grad_norm': 2.2878289222717285, 'learning_rate': 4.9213508371115935e-06, 'epoch': 0.07}

 81%|████████  | 8070/10000 [20:41:07<3:47:20,  7.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7566737532615662, dino_loss: 0.6640625, depth_loss: 0.06784237921237946, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9295780658721924, dino_loss: 0.671875, depth_loss: 0.0466717854142189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8071/10000 [20:41:14<3:37:14,  6.76s/it]
                                                         
{'loss': 1.9802, 'grad_norm': 5.021429061889648, 'learning_rate': 4.9164263947801545e-06, 'epoch': 0.07}

 81%|████████  | 8071/10000 [20:41:14<3:37:14,  6.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9332764148712158, dino_loss: 0.625, depth_loss: 0.03918011859059334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1098453998565674, dino_loss: 0.71484375, depth_loss: 0.05871083214879036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8072/10000 [20:41:20<3:34:30,  6.68s/it]
                                                         
{'loss': 2.5759, 'grad_norm': 4.196227073669434, 'learning_rate': 4.911504148758123e-06, 'epoch': 0.07}

 81%|████████  | 8072/10000 [20:41:20<3:34:30,  6.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8536856174468994, dino_loss: 0.73046875, depth_loss: 0.08140717446804047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0390000343322754, dino_loss: 0.6953125, depth_loss: 0.07768026739358902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8073/10000 [20:41:27<3:36:33,  6.74s/it]
                                                         
{'loss': 2.3759, 'grad_norm': 3.1154162883758545, 'learning_rate': 4.906584099583803e-06, 'epoch': 0.07}

 81%|████████  | 8073/10000 [20:41:27<3:36:33,  6.74s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8240903615951538, dino_loss: 0.5, depth_loss: 0.029102623462677002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6621590852737427, dino_loss: 0.0, depth_loss: 0.033470407128334045, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8074/10000 [20:41:34<3:42:17,  6.93s/it]
                                                         
{'loss': 1.6587, 'grad_norm': 9.158014297485352, 'learning_rate': 4.9016662477952226e-06, 'epoch': 0.07}

 81%|████████  | 8074/10000 [20:41:34<3:42:17,  6.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0372865200042725, dino_loss: 0.67578125, depth_loss: 0.06473353505134583, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8000868558883667, dino_loss: 0.671875, depth_loss: 0.06961357593536377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8075/10000 [20:41:43<3:55:42,  7.35s/it]
                                                         
{'loss': 2.5158, 'grad_norm': 2.25174617767334, 'learning_rate': 4.896750593930216e-06, 'epoch': 0.07}

 81%|████████  | 8075/10000 [20:41:43<3:55:42,  7.35s/it]the number of masks: 8
seg_loss: 0.6908466815948486, dino_loss: 0.0, depth_loss: 0.05700499564409256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0567002296447754, dino_loss: 0.61328125, depth_loss: 0.04667296260595322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8076/10000 [20:41:49<3:44:01,  6.99s/it]
                                                         
{'loss': 1.7778, 'grad_norm': 9.693378448486328, 'learning_rate': 4.891837138526334e-06, 'epoch': 0.07}

 81%|████████  | 8076/10000 [20:41:49<3:44:01,  6.99s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8362541198730469, dino_loss: 0.68359375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7310035824775696, dino_loss: 0.0, depth_loss: 0.06448712199926376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8077/10000 [20:41:55<3:36:40,  6.76s/it]
                                                         
{'loss': 2.2992, 'grad_norm': 3.968259334564209, 'learning_rate': 4.886925882120916e-06, 'epoch': 0.07}

 81%|████████  | 8077/10000 [20:41:55<3:36:40,  6.76s/it]the number of masks: 8
seg_loss: 0.7377962470054626, dino_loss: 0.65625, depth_loss: 0.07173173129558563, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8771922588348389, dino_loss: 0.7421875, depth_loss: 0.052342355251312256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8078/10000 [20:42:03<3:48:33,  7.14s/it]
                                                         
{'loss': 2.5596, 'grad_norm': 2.707585334777832, 'learning_rate': 4.882016825251037e-06, 'epoch': 0.07}

 81%|████████  | 8078/10000 [20:42:03<3:48:33,  7.14s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7652051448822021, dino_loss: 0.78515625, depth_loss: 0.05601707845926285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9365522861480713, dino_loss: 0.66015625, depth_loss: 0.06157490611076355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8079/10000 [20:42:10<3:49:31,  7.17s/it]
                                                         
{'loss': 2.3456, 'grad_norm': 3.2573375701904297, 'learning_rate': 4.877109968453552e-06, 'epoch': 0.07}

 81%|████████  | 8079/10000 [20:42:10<3:49:31,  7.17s/it]the number of masks: 8
seg_loss: 0.7206351161003113, dino_loss: 0.640625, depth_loss: 0.04589813947677612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7605466246604919, dino_loss: 0.67578125, depth_loss: 0.061319462954998016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8080/10000 [20:42:19<4:08:38,  7.77s/it]
                                                         
{'loss': 2.5179, 'grad_norm': 17.860864639282227, 'learning_rate': 4.872205312265074e-06, 'epoch': 0.07}

 81%|████████  | 8080/10000 [20:42:19<4:08:38,  7.77s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8679134845733643, dino_loss: 0.68359375, depth_loss: 0.0637405663728714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9649335145950317, dino_loss: 0.671875, depth_loss: 0.067966990172863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8081/10000 [20:42:27<4:09:35,  7.80s/it]
                                                         
{'loss': 2.6619, 'grad_norm': 2.9560494422912598, 'learning_rate': 4.867302857221953e-06, 'epoch': 0.07}

 81%|████████  | 8081/10000 [20:42:27<4:09:35,  7.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7813882231712341, dino_loss: 0.69140625, depth_loss: 0.09515609592199326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8535429239273071, dino_loss: 0.70703125, depth_loss: 0.06958635151386261, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8082/10000 [20:42:35<4:11:15,  7.86s/it]
                                                         
{'loss': 2.4035, 'grad_norm': 5.574201583862305, 'learning_rate': 4.862402603860325e-06, 'epoch': 0.07}

 81%|████████  | 8082/10000 [20:42:35<4:11:15,  7.86s/it]seg_loss: 0.0, dino_loss: 0.8125, depth_loss: 0.05476335436105728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7522183656692505, dino_loss: 0.68359375, depth_loss: 0.0389801487326622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8083/10000 [20:42:42<3:58:11,  7.46s/it]
                                                         
{'loss': 1.8639, 'grad_norm': 2.134187936782837, 'learning_rate': 4.857504552716069e-06, 'epoch': 0.07}

 81%|████████  | 8083/10000 [20:42:42<3:58:11,  7.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6599328517913818, dino_loss: 0.703125, depth_loss: 0.057956285774707794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0172324180603027, dino_loss: 0.7109375, depth_loss: 0.038497887551784515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8084/10000 [20:42:50<4:07:25,  7.75s/it]
                                                         
{'loss': 2.5419, 'grad_norm': 3.2767794132232666, 'learning_rate': 4.852608704324841e-06, 'epoch': 0.07}

 81%|████████  | 8084/10000 [20:42:50<4:07:25,  7.75s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7245532870292664, dino_loss: 0.60546875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7922635078430176, dino_loss: 0.66796875, depth_loss: 0.07189390063285828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8085/10000 [20:42:59<4:14:17,  7.97s/it]
                                                         
{'loss': 1.933, 'grad_norm': 3.856472969055176, 'learning_rate': 4.847715059222024e-06, 'epoch': 0.07}

 81%|████████  | 8085/10000 [20:42:59<4:14:17,  7.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6123046278953552, dino_loss: 0.60546875, depth_loss: 0.0397658497095108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7925678491592407, dino_loss: 0.734375, depth_loss: 0.062446556985378265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8086/10000 [20:43:09<4:38:18,  8.72s/it]
                                                         
{'loss': 1.7443, 'grad_norm': 9.50999641418457, 'learning_rate': 4.8428236179427985e-06, 'epoch': 0.07}

 81%|████████  | 8086/10000 [20:43:09<4:38:18,  8.72s/it]the number of masks: 8
seg_loss: 0.5890185236930847, dino_loss: 0.6328125, depth_loss: 0.056889042258262634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1067616939544678, dino_loss: 0.6328125, depth_loss: 0.06719093024730682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8087/10000 [20:43:15<4:14:23,  7.98s/it]
                                                         
{'loss': 1.9492, 'grad_norm': 4.359649658203125, 'learning_rate': 4.837934381022061e-06, 'epoch': 0.07}

 81%|████████  | 8087/10000 [20:43:15<4:14:23,  7.98s/it]the number of masks: 8
seg_loss: 0.9564343094825745, dino_loss: 0.6796875, depth_loss: 0.046542663127183914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
seg_loss: 0.7893043160438538, dino_loss: 0.73828125, depth_loss: 0.06447280943393707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8088/10000 [20:43:22<4:00:09,  7.54s/it]
                                                         
{'loss': 2.2954, 'grad_norm': 6.446145057678223, 'learning_rate': 4.833047348994521e-06, 'epoch': 0.07}

 81%|████████  | 8088/10000 [20:43:22<4:00:09,  7.54s/it]the number of masks: 8
seg_loss: 0.809416651725769, dino_loss: 0.71875, depth_loss: 0.07470032572746277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6088629364967346, dino_loss: 0.67578125, depth_loss: 0.05567996948957443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8089/10000 [20:43:28<3:46:47,  7.12s/it]
                                                         
{'loss': 2.2115, 'grad_norm': 5.076920509338379, 'learning_rate': 4.828162522394597e-06, 'epoch': 0.07}

 81%|████████  | 8089/10000 [20:43:28<3:46:47,  7.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0191340446472168, dino_loss: 0.71484375, depth_loss: 0.05249340459704399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.70703125, depth_loss: 0.0638156607747078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8090/10000 [20:43:37<4:00:07,  7.54s/it]
                                                         
{'loss': 2.1843, 'grad_norm': 2.220449924468994, 'learning_rate': 4.823279901756497e-06, 'epoch': 0.07}

 81%|████████  | 8090/10000 [20:43:37<4:00:07,  7.54s/it]the number of masks: 8
seg_loss: 0.9832302331924438, dino_loss: 0.69140625, depth_loss: 0.05572265386581421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7680920362472534, dino_loss: 0.74609375, depth_loss: 0.08861894905567169, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8091/10000 [20:43:45<4:08:42,  7.82s/it]
                                                         
{'loss': 2.6032, 'grad_norm': 4.134530067443848, 'learning_rate': 4.818399487614164e-06, 'epoch': 0.07}

 81%|████████  | 8091/10000 [20:43:45<4:08:42,  7.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7537277936935425, dino_loss: 0.6796875, depth_loss: 0.03734287619590759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8898187875747681, dino_loss: 0.6484375, depth_loss: 0.06890428811311722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8092/10000 [20:43:53<4:05:19,  7.71s/it]
                                                         
{'loss': 2.0814, 'grad_norm': 3.4784655570983887, 'learning_rate': 4.813521280501329e-06, 'epoch': 0.07}

 81%|████████  | 8092/10000 [20:43:53<4:05:19,  7.71s/it]the number of masks: 8
seg_loss: 0.8034268021583557, dino_loss: 0.7421875, depth_loss: 0.061030805110931396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8422942161560059, dino_loss: 0.0, depth_loss: 0.06298284977674484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8093/10000 [20:43:59<3:51:08,  7.27s/it]
                                                         
{'loss': 1.6418, 'grad_norm': 3.449777126312256, 'learning_rate': 4.808645280951441e-06, 'epoch': 0.07}

 81%|████████  | 8093/10000 [20:43:59<3:51:08,  7.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8048820495605469, dino_loss: 0.75390625, depth_loss: 0.07597631216049194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7213202714920044, dino_loss: 0.58203125, depth_loss: 0.041244205087423325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8094/10000 [20:44:07<4:02:48,  7.64s/it]
                                                         
{'loss': 1.5421, 'grad_norm': 4.146169662475586, 'learning_rate': 4.803771489497763e-06, 'epoch': 0.07}

 81%|████████  | 8094/10000 [20:44:07<4:02:48,  7.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6536087393760681, dino_loss: 0.71875, depth_loss: 0.08172911405563354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7164846658706665, dino_loss: 0.62890625, depth_loss: 0.06831733137369156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8095/10000 [20:44:14<3:55:51,  7.43s/it]
                                                         
{'loss': 1.7765, 'grad_norm': 1.7229591608047485, 'learning_rate': 4.798899906673263e-06, 'epoch': 0.07}

 81%|████████  | 8095/10000 [20:44:14<3:55:51,  7.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6197455525398254, dino_loss: 0.65234375, depth_loss: 0.045966941863298416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9261002540588379, dino_loss: 0.73828125, depth_loss: 0.0758000835776329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8096/10000 [20:44:23<4:11:53,  7.94s/it]
                                                         
{'loss': 1.9556, 'grad_norm': 3.710177421569824, 'learning_rate': 4.794030533010705e-06, 'epoch': 0.07}

 81%|████████  | 8096/10000 [20:44:23<4:11:53,  7.94s/it]the number of masks: 8
seg_loss: 0.7349373698234558, dino_loss: 0.7265625, depth_loss: 0.06269439309835434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6753036975860596, dino_loss: 0.640625, depth_loss: 0.05402073264122009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8097/10000 [20:44:30<3:57:49,  7.50s/it]
                                                         
{'loss': 2.0107, 'grad_norm': 7.651562690734863, 'learning_rate': 4.789163369042582e-06, 'epoch': 0.07}

 81%|████████  | 8097/10000 [20:44:30<3:57:49,  7.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0096070766448975, dino_loss: 0.70703125, depth_loss: 0.08606992661952972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7789598703384399, dino_loss: 0.703125, depth_loss: 0.11504951864480972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8098/10000 [20:44:37<3:52:04,  7.32s/it]
                                                         
{'loss': 2.2794, 'grad_norm': 4.222641944885254, 'learning_rate': 4.784298415301172e-06, 'epoch': 0.07}

 81%|████████  | 8098/10000 [20:44:37<3:52:04,  7.32s/it]seg_loss: 0.0, dino_loss: 0.62109375, depth_loss: 0.030056409537792206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9943470358848572, dino_loss: 0.61328125, depth_loss: 0.07457201927900314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8099/10000 [20:44:43<3:37:47,  6.87s/it]
                                                         
{'loss': 1.7231, 'grad_norm': 3.0563251972198486, 'learning_rate': 4.779435672318485e-06, 'epoch': 0.07}

 81%|████████  | 8099/10000 [20:44:43<3:37:47,  6.87s/it]the number of masks: 8
seg_loss: 0.8110761642456055, dino_loss: 0.66015625, depth_loss: 0.04423070698976517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9490240812301636, dino_loss: 0.71484375, depth_loss: 0.0677947998046875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8100/10000 [20:44:48<3:26:20,  6.52s/it]
                                                         
{'loss': 2.7124, 'grad_norm': 6.139437675476074, 'learning_rate': 4.7745751406263165e-06, 'epoch': 0.07}

 81%|████████  | 8100/10000 [20:44:48<3:26:20,  6.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9443382024765015, dino_loss: 0.703125, depth_loss: 0.07726806402206421, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5780861377716064, dino_loss: 0.498046875, depth_loss: 0.05145753547549248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8101/10000 [20:44:57<3:44:30,  7.09s/it]
                                                         
{'loss': 2.3221, 'grad_norm': 3.967913866043091, 'learning_rate': 4.769716820756198e-06, 'epoch': 0.07}

 81%|████████  | 8101/10000 [20:44:57<3:44:30,  7.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9655106067657471, dino_loss: 0.69921875, depth_loss: 0.04513321816921234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.3924528956413269, dino_loss: 0.6328125, depth_loss: 0.05424318090081215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8102/10000 [20:45:04<3:44:49,  7.11s/it]
                                                         
{'loss': 1.961, 'grad_norm': 4.700249671936035, 'learning_rate': 4.764860713239441e-06, 'epoch': 0.07}

 81%|████████  | 8102/10000 [20:45:04<3:44:49,  7.11s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6553198099136353, dino_loss: 0.703125, depth_loss: 0.05052335187792778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8448339700698853, dino_loss: 0.63671875, depth_loss: 0.07207141816616058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8103/10000 [20:45:10<3:38:55,  6.92s/it]
                                                         
{'loss': 2.2823, 'grad_norm': 4.761504173278809, 'learning_rate': 4.760006818607088e-06, 'epoch': 0.07}

 81%|████████  | 8103/10000 [20:45:10<3:38:55,  6.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9283627867698669, dino_loss: 0.703125, depth_loss: 0.04685843735933304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9021340608596802, dino_loss: 0.66796875, depth_loss: 0.04860199987888336, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8104/10000 [20:45:18<3:44:06,  7.09s/it]
                                                         
{'loss': 2.2757, 'grad_norm': 3.1510393619537354, 'learning_rate': 4.755155137389955e-06, 'epoch': 0.07}

 81%|████████  | 8104/10000 [20:45:18<3:44:06,  7.09s/it]the number of masks: 8
seg_loss: 0.8705909252166748, dino_loss: 0.7421875, depth_loss: 0.06126243621110916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7959145903587341, dino_loss: 0.6796875, depth_loss: 0.05213303118944168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8105/10000 [20:45:26<3:53:06,  7.38s/it]
                                                         
{'loss': 2.0489, 'grad_norm': 4.385836124420166, 'learning_rate': 4.750305670118629e-06, 'epoch': 0.07}

 81%|████████  | 8105/10000 [20:45:26<3:53:06,  7.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9619326591491699, dino_loss: 0.0, depth_loss: 0.07495421171188354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7886270880699158, dino_loss: 0.68359375, depth_loss: 0.055794961750507355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8106/10000 [20:45:34<4:03:32,  7.71s/it]
                                                         
{'loss': 1.9554, 'grad_norm': 3.94045090675354, 'learning_rate': 4.74545841732342e-06, 'epoch': 0.07}

 81%|████████  | 8106/10000 [20:45:34<4:03:32,  7.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8740988969802856, dino_loss: 0.6875, depth_loss: 0.069309763610363, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7783968448638916, dino_loss: 0.6953125, depth_loss: 0.06699282675981522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8107/10000 [20:45:43<4:10:18,  7.93s/it]
                                                         
{'loss': 1.8882, 'grad_norm': 2.685800790786743, 'learning_rate': 4.740613379534428e-06, 'epoch': 0.07}

 81%|████████  | 8107/10000 [20:45:43<4:10:18,  7.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.818642258644104, dino_loss: 0.67578125, depth_loss: 0.05266851186752319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7659316062927246, dino_loss: 0.64453125, depth_loss: 0.06497764587402344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8108/10000 [20:45:52<4:22:44,  8.33s/it]
                                                         
{'loss': 2.5942, 'grad_norm': 3.6750669479370117, 'learning_rate': 4.7357705572814964e-06, 'epoch': 0.07}

 81%|████████  | 8108/10000 [20:45:52<4:22:44,  8.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6676673889160156, dino_loss: 0.65625, depth_loss: 0.07373115420341492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0797098875045776, dino_loss: 0.62109375, depth_loss: 0.04871966689825058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8109/10000 [20:46:02<4:40:34,  8.90s/it]
                                                         
{'loss': 2.004, 'grad_norm': 3.4371488094329834, 'learning_rate': 4.730929951094237e-06, 'epoch': 0.07}

 81%|████████  | 8109/10000 [20:46:02<4:40:34,  8.90s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6885664463043213, dino_loss: 0.68359375, depth_loss: 0.07957138121128082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8626775741577148, dino_loss: 0.7109375, depth_loss: 0.09728926420211792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8110/10000 [20:46:10<4:25:49,  8.44s/it]
                                                         
{'loss': 2.2926, 'grad_norm': 4.966644763946533, 'learning_rate': 4.726091561502e-06, 'epoch': 0.07}

 81%|████████  | 8110/10000 [20:46:10<4:25:49,  8.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0671491622924805, dino_loss: 0.69140625, depth_loss: 0.038382504135370255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7382252812385559, dino_loss: 0.61328125, depth_loss: 0.05896502360701561, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8111/10000 [20:46:19<4:30:24,  8.59s/it]
                                                         
{'loss': 2.0123, 'grad_norm': 3.059924840927124, 'learning_rate': 4.72125538903391e-06, 'epoch': 0.07}

 81%|████████  | 8111/10000 [20:46:19<4:30:24,  8.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9452041387557983, dino_loss: 0.62109375, depth_loss: 0.04302612692117691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9135912656784058, dino_loss: 0.69921875, depth_loss: 0.0601750910282135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8112/10000 [20:46:28<4:40:32,  8.92s/it]
                                                         
{'loss': 2.3757, 'grad_norm': 2.4907073974609375, 'learning_rate': 4.71642143421884e-06, 'epoch': 0.07}

 81%|████████  | 8112/10000 [20:46:28<4:40:32,  8.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6896398663520813, dino_loss: 0.734375, depth_loss: 0.05814014747738838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7525230646133423, dino_loss: 0.0, depth_loss: 0.05476604029536247, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8113/10000 [20:46:36<4:26:13,  8.46s/it]
                                                         
{'loss': 2.1858, 'grad_norm': 4.251155376434326, 'learning_rate': 4.711589697585423e-06, 'epoch': 0.07}

 81%|████████  | 8113/10000 [20:46:36<4:26:13,  8.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8173595070838928, dino_loss: 0.6796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7160181999206543, dino_loss: 0.0, depth_loss: 0.08009178191423416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8114/10000 [20:46:42<4:05:04,  7.80s/it]
                                                         
{'loss': 1.6088, 'grad_norm': 3.8898205757141113, 'learning_rate': 4.706760179662056e-06, 'epoch': 0.07}

 81%|████████  | 8114/10000 [20:46:42<4:05:04,  7.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0688713788986206, dino_loss: 0.64453125, depth_loss: 0.06849507987499237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7797762751579285, dino_loss: 0.0, depth_loss: 0.03930284082889557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8115/10000 [20:46:51<4:15:39,  8.14s/it]
                                                         
{'loss': 1.4057, 'grad_norm': 4.807539463043213, 'learning_rate': 4.7019328809768895e-06, 'epoch': 0.07}

 81%|████████  | 8115/10000 [20:46:51<4:15:39,  8.14s/it]the number of masks: 8
seg_loss: 0.8069390654563904, dino_loss: 0.7734375, depth_loss: 0.06994147598743439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6285895109176636, dino_loss: 0.72265625, depth_loss: 0.06762181967496872, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8116/10000 [20:46:58<4:05:16,  7.81s/it]
                                                         
{'loss': 1.9092, 'grad_norm': 4.23289680480957, 'learning_rate': 4.697107802057821e-06, 'epoch': 0.07}

 81%|████████  | 8116/10000 [20:46:58<4:05:16,  7.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8922042846679688, dino_loss: 0.65234375, depth_loss: 0.03970831260085106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7488963007926941, dino_loss: 0.7421875, depth_loss: 0.06189325451850891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8117/10000 [20:47:06<4:08:49,  7.93s/it]
                                                         
{'loss': 2.4891, 'grad_norm': 2.8895795345306396, 'learning_rate': 4.692284943432523e-06, 'epoch': 0.07}

 81%|████████  | 8117/10000 [20:47:06<4:08:49,  7.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8809438347816467, dino_loss: 0.69921875, depth_loss: 0.07491323351860046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8598304986953735, dino_loss: 0.55859375, depth_loss: 0.05321482568979263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8118/10000 [20:47:13<3:59:37,  7.64s/it]
                                                         
{'loss': 2.0863, 'grad_norm': 5.9735426902771, 'learning_rate': 4.687464305628405e-06, 'epoch': 0.07}

 81%|████████  | 8118/10000 [20:47:13<3:59:37,  7.64s/it]the number of masks: 8
seg_loss: 0.6175978183746338, dino_loss: 0.60546875, depth_loss: 0.0602872297167778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7953062057495117, dino_loss: 0.71484375, depth_loss: 0.06496601551771164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8119/10000 [20:47:20<3:50:49,  7.36s/it]
                                                         
{'loss': 2.3643, 'grad_norm': 4.39683723449707, 'learning_rate': 4.682645889172651e-06, 'epoch': 0.07}

 81%|████████  | 8119/10000 [20:47:20<3:50:49,  7.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.793207049369812, dino_loss: 0.67578125, depth_loss: 0.0646120235323906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4397083520889282, dino_loss: 0.6328125, depth_loss: 0.05694006755948067, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8120/10000 [20:47:27<3:53:24,  7.45s/it]
                                                         
{'loss': 2.2415, 'grad_norm': 3.991687297821045, 'learning_rate': 4.677829694592198e-06, 'epoch': 0.07}

 81%|████████  | 8120/10000 [20:47:27<3:53:24,  7.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8376821279525757, dino_loss: 0.77734375, depth_loss: 0.0462178997695446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.798048734664917, dino_loss: 0.7109375, depth_loss: 0.04070303961634636, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8121/10000 [20:47:38<4:19:05,  8.27s/it]
                                                         
{'loss': 1.8918, 'grad_norm': 3.7538435459136963, 'learning_rate': 4.67301572241374e-06, 'epoch': 0.07}

 81%|████████  | 8121/10000 [20:47:38<4:19:05,  8.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9407649636268616, dino_loss: 0.71484375, depth_loss: 0.040009573101997375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.865570068359375, dino_loss: 0.76953125, depth_loss: 0.05949621647596359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8122/10000 [20:47:46<4:15:25,  8.16s/it]
                                                         
{'loss': 2.4552, 'grad_norm': 2.937697172164917, 'learning_rate': 4.668203973163715e-06, 'epoch': 0.07}

 81%|████████  | 8122/10000 [20:47:46<4:15:25,  8.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8985471129417419, dino_loss: 0.0, depth_loss: 0.0734134092926979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0904834270477295, dino_loss: 0.74609375, depth_loss: 0.07228687405586243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8123/10000 [20:47:54<4:20:39,  8.33s/it]
                                                         
{'loss': 2.2787, 'grad_norm': 5.564375877380371, 'learning_rate': 4.663394447368344e-06, 'epoch': 0.07}

 81%|████████  | 8123/10000 [20:47:54<4:20:39,  8.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0631910562515259, dino_loss: 0.71484375, depth_loss: 0.07054769992828369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9022377729415894, dino_loss: 0.70703125, depth_loss: 0.05042101815342903, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████  | 8124/10000 [20:48:02<4:19:00,  8.28s/it]
                                                         
{'loss': 2.4052, 'grad_norm': 3.303544282913208, 'learning_rate': 4.6585871455535725e-06, 'epoch': 0.07}

 81%|████████  | 8124/10000 [20:48:02<4:19:00,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6911864280700684, dino_loss: 0.58203125, depth_loss: 0.06815596669912338, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8712407946586609, dino_loss: 0.69921875, depth_loss: 0.06259161233901978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8125/10000 [20:48:12<4:28:37,  8.60s/it]
                                                         
{'loss': 2.1757, 'grad_norm': 3.197225332260132, 'learning_rate': 4.653782068245127e-06, 'epoch': 0.07}

 81%|████████▏ | 8125/10000 [20:48:12<4:28:37,  8.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.927646279335022, dino_loss: 0.6796875, depth_loss: 0.058851949870586395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9146546125411987, dino_loss: 0.72265625, depth_loss: 0.057461515069007874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8126/10000 [20:48:20<4:23:30,  8.44s/it]
                                                         
{'loss': 1.7321, 'grad_norm': 7.093369483947754, 'learning_rate': 4.648979215968485e-06, 'epoch': 0.07}

 81%|████████▏ | 8126/10000 [20:48:20<4:23:30,  8.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9673067331314087, dino_loss: 0.640625, depth_loss: 0.047955505549907684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8476877212524414, dino_loss: 0.69921875, depth_loss: 0.06977332383394241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8127/10000 [20:48:29<4:26:56,  8.55s/it]
                                                         
{'loss': 2.0133, 'grad_norm': 2.640838384628296, 'learning_rate': 4.644178589248885e-06, 'epoch': 0.07}

 81%|████████▏ | 8127/10000 [20:48:29<4:26:56,  8.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7752620577812195, dino_loss: 0.7109375, depth_loss: 0.061774980276823044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9853508472442627, dino_loss: 0.609375, depth_loss: 0.08793836832046509, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8128/10000 [20:48:38<4:30:04,  8.66s/it]
                                                         
{'loss': 1.6872, 'grad_norm': 4.72020959854126, 'learning_rate': 4.639380188611306e-06, 'epoch': 0.07}

 81%|████████▏ | 8128/10000 [20:48:38<4:30:04,  8.66s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8652377128601074, dino_loss: 0.671875, depth_loss: 0.04473463073372841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8389400243759155, dino_loss: 0.71484375, depth_loss: 0.05286624655127525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8129/10000 [20:48:45<4:21:01,  8.37s/it]
                                                         
{'loss': 2.4481, 'grad_norm': 2.4872186183929443, 'learning_rate': 4.634584014580496e-06, 'epoch': 0.07}

 81%|████████▏ | 8129/10000 [20:48:45<4:21:01,  8.37s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8569855690002441, dino_loss: 0.72265625, depth_loss: 0.07805991172790527, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 2
the number of masks: 8
seg_loss: 0.3004360795021057, dino_loss: 0.640625, depth_loss: 0.040534112602472305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8130/10000 [20:48:54<4:27:46,  8.59s/it]
                                                         
{'loss': 2.255, 'grad_norm': 2.8571767807006836, 'learning_rate': 4.629790067680964e-06, 'epoch': 0.07}

 81%|████████▏ | 8130/10000 [20:48:54<4:27:46,  8.59s/it]the number of masks: 8
seg_loss: 1.4001061916351318, dino_loss: 0.6875, depth_loss: 0.056595295667648315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.917745053768158, dino_loss: 0.68359375, depth_loss: 0.0599341094493866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8131/10000 [20:49:02<4:15:03,  8.19s/it]
                                                         
{'loss': 3.0082, 'grad_norm': 4.288775444030762, 'learning_rate': 4.62499834843696e-06, 'epoch': 0.07}

 81%|████████▏ | 8131/10000 [20:49:02<4:15:03,  8.19s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9666846394538879, dino_loss: 0.6953125, depth_loss: 0.054304614663124084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0008916854858398, dino_loss: 0.67578125, depth_loss: 0.0928507149219513, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8132/10000 [20:49:09<4:07:39,  7.95s/it]
                                                         
{'loss': 2.6592, 'grad_norm': 5.09785795211792, 'learning_rate': 4.620208857372502e-06, 'epoch': 0.07}

 81%|████████▏ | 8132/10000 [20:49:09<4:07:39,  7.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9018677473068237, dino_loss: 0.671875, depth_loss: 0.052936337888240814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7239489555358887, dino_loss: 0.71875, depth_loss: 0.05419345945119858, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8133/10000 [20:49:16<4:00:15,  7.72s/it]
                                                         
{'loss': 2.7094, 'grad_norm': 3.9803998470306396, 'learning_rate': 4.6154215950113625e-06, 'epoch': 0.07}

 81%|████████▏ | 8133/10000 [20:49:16<4:00:15,  7.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7712680697441101, dino_loss: 0.69921875, depth_loss: 0.04938027262687683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9913557767868042, dino_loss: 0.609375, depth_loss: 0.04206454008817673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8134/10000 [20:49:24<4:05:44,  7.90s/it]
                                                         
{'loss': 1.9577, 'grad_norm': 4.638543605804443, 'learning_rate': 4.610636561877077e-06, 'epoch': 0.07}

 81%|████████▏ | 8134/10000 [20:49:24<4:05:44,  7.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.865688145160675, dino_loss: 0.765625, depth_loss: 0.0853065550327301, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8062629699707031, dino_loss: 0.68359375, depth_loss: 0.06131342053413391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8135/10000 [20:49:35<4:34:29,  8.83s/it]
                                                         
{'loss': 2.3358, 'grad_norm': 3.7927119731903076, 'learning_rate': 4.605853758492914e-06, 'epoch': 0.07}

 81%|████████▏ | 8135/10000 [20:49:35<4:34:29,  8.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8114076852798462, dino_loss: 0.77734375, depth_loss: 0.08451800048351288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8366944193840027, dino_loss: 0.6796875, depth_loss: 0.07718347012996674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8136/10000 [20:49:45<4:42:52,  9.11s/it]
                                                         
{'loss': 2.0185, 'grad_norm': 2.580954074859619, 'learning_rate': 4.601073185381929e-06, 'epoch': 0.07}

 81%|████████▏ | 8136/10000 [20:49:45<4:42:52,  9.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7884013056755066, dino_loss: 0.703125, depth_loss: 0.059651896357536316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8034180998802185, dino_loss: 0.60546875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8137/10000 [20:49:53<4:26:41,  8.59s/it]
                                                         
{'loss': 2.0003, 'grad_norm': 9.138666152954102, 'learning_rate': 4.596294843066906e-06, 'epoch': 0.07}

 81%|████████▏ | 8137/10000 [20:49:53<4:26:41,  8.59s/it]the number of masks: 8
seg_loss: 0.995787501335144, dino_loss: 0.0, depth_loss: 0.10408467799425125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9073387980461121, dino_loss: 0.75390625, depth_loss: 0.03282058611512184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8138/10000 [20:49:58<4:00:36,  7.75s/it]
                                                         
{'loss': 1.973, 'grad_norm': 3.8732082843780518, 'learning_rate': 4.591518732070402e-06, 'epoch': 0.07}

 81%|████████▏ | 8138/10000 [20:49:58<4:00:36,  7.75s/it]the number of masks: 8
seg_loss: 1.1856577396392822, dino_loss: 0.7265625, depth_loss: 0.06166499853134155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9740204811096191, dino_loss: 0.69140625, depth_loss: 0.0517524778842926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8139/10000 [20:50:06<3:56:48,  7.64s/it]
                                                         
{'loss': 2.387, 'grad_norm': 9.303749084472656, 'learning_rate': 4.586744852914724e-06, 'epoch': 0.07}

 81%|████████▏ | 8139/10000 [20:50:06<3:56:48,  7.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6960687637329102, dino_loss: 0.70703125, depth_loss: 0.04617765545845032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9005970358848572, dino_loss: 0.61328125, depth_loss: 0.05560619756579399, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8140/10000 [20:50:12<3:41:32,  7.15s/it]
                                                         
{'loss': 1.7961, 'grad_norm': 7.001502990722656, 'learning_rate': 4.581973206121948e-06, 'epoch': 0.07}

 81%|████████▏ | 8140/10000 [20:50:12<3:41:32,  7.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.44276881217956543, dino_loss: 0.66796875, depth_loss: 0.04067029058933258, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9775388240814209, dino_loss: 0.66015625, depth_loss: 0.03680669516324997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8141/10000 [20:50:21<3:58:53,  7.71s/it]
                                                         
{'loss': 1.9133, 'grad_norm': 2.9145216941833496, 'learning_rate': 4.577203792213874e-06, 'epoch': 0.07}

 81%|████████▏ | 8141/10000 [20:50:21<3:58:53,  7.71s/it]the number of masks: 8
seg_loss: 0.9233264327049255, dino_loss: 0.68359375, depth_loss: 0.058216385543346405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9499155282974243, dino_loss: 0.671875, depth_loss: 0.12206967920064926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8142/10000 [20:50:27<3:45:12,  7.27s/it]
                                                         
{'loss': 2.2149, 'grad_norm': 2.5228195190429688, 'learning_rate': 4.572436611712097e-06, 'epoch': 0.07}

 81%|████████▏ | 8142/10000 [20:50:27<3:45:12,  7.27s/it]seg_loss: 0.0, dino_loss: 0.703125, depth_loss: 0.03834792226552963, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 3
seg_loss: 0.8816396594047546, dino_loss: 0.7734375, depth_loss: 0.06642375886440277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8143/10000 [20:50:33<3:32:53,  6.88s/it]
                                                         
{'loss': 2.4864, 'grad_norm': 3.5915300846099854, 'learning_rate': 4.567671665137932e-06, 'epoch': 0.07}

 81%|████████▏ | 8143/10000 [20:50:33<3:32:53,  6.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.735417366027832, dino_loss: 0.71484375, depth_loss: 0.0564817450940609, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8569786548614502, dino_loss: 0.66796875, depth_loss: 0.06570950150489807, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8144/10000 [20:50:41<3:45:43,  7.30s/it]
                                                         
{'loss': 1.5949, 'grad_norm': 3.7548117637634277, 'learning_rate': 4.562908953012474e-06, 'epoch': 0.07}

 81%|████████▏ | 8144/10000 [20:50:41<3:45:43,  7.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.994134783744812, dino_loss: 0.75390625, depth_loss: 0.10663548856973648, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8746849298477173, dino_loss: 0.6640625, depth_loss: 0.0652209222316742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8145/10000 [20:50:48<3:38:40,  7.07s/it]
                                                         
{'loss': 1.8087, 'grad_norm': 4.349857807159424, 'learning_rate': 4.5581484758565665e-06, 'epoch': 0.07}

 81%|████████▏ | 8145/10000 [20:50:48<3:38:40,  7.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8792557120323181, dino_loss: 0.6328125, depth_loss: 0.04497385025024414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7324764728546143, dino_loss: 0.6015625, depth_loss: 0.05317409336566925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8146/10000 [20:50:55<3:42:41,  7.21s/it]
                                                         
{'loss': 2.1661, 'grad_norm': 5.221133708953857, 'learning_rate': 4.553390234190816e-06, 'epoch': 0.07}

 81%|████████▏ | 8146/10000 [20:50:55<3:42:41,  7.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6540690064430237, dino_loss: 0.67578125, depth_loss: 0.054657358676195145, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7368289828300476, dino_loss: 0.64453125, depth_loss: 0.05941539257764816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8147/10000 [20:51:04<3:59:59,  7.77s/it]
                                                         
{'loss': 2.2062, 'grad_norm': 5.162038326263428, 'learning_rate': 4.548634228535559e-06, 'epoch': 0.07}

 81%|████████▏ | 8147/10000 [20:51:04<3:59:59,  7.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0152614116668701, dino_loss: 0.0, depth_loss: 0.04771711677312851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9172723293304443, dino_loss: 0.640625, depth_loss: 0.05433326214551926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8148/10000 [20:51:12<3:55:05,  7.62s/it]
                                                         
{'loss': 2.119, 'grad_norm': 5.6451096534729, 'learning_rate': 4.543880459410924e-06, 'epoch': 0.07}

 81%|████████▏ | 8148/10000 [20:51:12<3:55:05,  7.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7607063055038452, dino_loss: 0.6953125, depth_loss: 0.07027550041675568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.6040666103363037, dino_loss: 0.56640625, depth_loss: 0.0641380250453949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 81%|████████▏ | 8149/10000 [20:51:19<3:52:43,  7.54s/it]
                                                         
{'loss': 2.9755, 'grad_norm': 7.741214752197266, 'learning_rate': 4.539128927336758e-06, 'epoch': 0.07}

 81%|████████▏ | 8149/10000 [20:51:19<3:52:43,  7.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1610090732574463, dino_loss: 0.6875, depth_loss: 0.04569143056869507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.72265625, depth_loss: 0.07325265556573868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8150/10000 [20:51:25<3:41:07,  7.17s/it]
                                                         
{'loss': 2.4096, 'grad_norm': 3.615995407104492, 'learning_rate': 4.534379632832692e-06, 'epoch': 0.07}

 82%|████████▏ | 8150/10000 [20:51:25<3:41:07,  7.17s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.85774827003479, dino_loss: 0.6953125, depth_loss: 0.07236544042825699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1517119407653809, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8151/10000 [20:51:32<3:38:04,  7.08s/it]
                                                         
{'loss': 2.3695, 'grad_norm': 5.008917808532715, 'learning_rate': 4.5296325764180965e-06, 'epoch': 0.07}

 82%|████████▏ | 8151/10000 [20:51:32<3:38:04,  7.08s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0957515239715576, dino_loss: 0.68359375, depth_loss: 0.06620001792907715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9137102365493774, dino_loss: 0.69921875, depth_loss: 0.06564680486917496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8152/10000 [20:51:42<4:00:47,  7.82s/it]
                                                         
{'loss': 2.786, 'grad_norm': 4.230563640594482, 'learning_rate': 4.524887758612115e-06, 'epoch': 0.07}

 82%|████████▏ | 8152/10000 [20:51:42<4:00:47,  7.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9383400678634644, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.46833163499832153, dino_loss: 0.63671875, depth_loss: 0.03133498877286911, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8153/10000 [20:51:49<3:52:30,  7.55s/it]
                                                         
{'loss': 1.5728, 'grad_norm': 2.6444690227508545, 'learning_rate': 4.520145179933616e-06, 'epoch': 0.07}

 82%|████████▏ | 8153/10000 [20:51:49<3:52:30,  7.55s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5405207276344299, dino_loss: 0.0, depth_loss: 0.05123841017484665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7870239019393921, dino_loss: 0.64453125, depth_loss: 0.05880100652575493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8154/10000 [20:51:58<4:03:56,  7.93s/it]
                                                         
{'loss': 1.4792, 'grad_norm': 2.211836576461792, 'learning_rate': 4.51540484090125e-06, 'epoch': 0.07}

 82%|████████▏ | 8154/10000 [20:51:58<4:03:56,  7.93s/it]the number of masks: 8
seg_loss: 0.8088391423225403, dino_loss: 0.0, depth_loss: 0.056578509509563446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8237850666046143, dino_loss: 0.6875, depth_loss: 0.06762853264808655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8155/10000 [20:52:05<3:58:14,  7.75s/it]
                                                         
{'loss': 1.9635, 'grad_norm': 6.364082336425781, 'learning_rate': 4.51066674203342e-06, 'epoch': 0.07}

 82%|████████▏ | 8155/10000 [20:52:05<3:58:14,  7.75s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7594149708747864, dino_loss: 0.67578125, depth_loss: 0.06125735491514206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.60546875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8156/10000 [20:52:10<3:37:30,  7.08s/it]
                                                         
{'loss': 1.784, 'grad_norm': 2.740910530090332, 'learning_rate': 4.505930883848261e-06, 'epoch': 0.07}

 82%|████████▏ | 8156/10000 [20:52:10<3:37:30,  7.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8541283011436462, dino_loss: 0.0, depth_loss: 0.03717394918203354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8414310216903687, dino_loss: 0.71875, depth_loss: 0.05404379963874817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8157/10000 [20:52:20<3:59:56,  7.81s/it]
                                                         
{'loss': 1.9124, 'grad_norm': 4.489577293395996, 'learning_rate': 4.501197266863691e-06, 'epoch': 0.07}

 82%|████████▏ | 8157/10000 [20:52:20<3:59:56,  7.81s/it]the number of masks: 8
seg_loss: 1.0249974727630615, dino_loss: 0.6796875, depth_loss: 0.045759521424770355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9665045142173767, dino_loss: 0.78515625, depth_loss: 0.051103364676237106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8158/10000 [20:52:29<4:07:38,  8.07s/it]
                                                         
{'loss': 2.3731, 'grad_norm': 3.718858242034912, 'learning_rate': 4.4964658915973676e-06, 'epoch': 0.07}

 82%|████████▏ | 8158/10000 [20:52:29<4:07:38,  8.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0095367431640625, dino_loss: 0.6796875, depth_loss: 0.06061062216758728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8217422962188721, dino_loss: 0.65625, depth_loss: 0.0636570081114769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8159/10000 [20:52:38<4:22:15,  8.55s/it]
                                                         
{'loss': 2.4666, 'grad_norm': 3.7730491161346436, 'learning_rate': 4.4917367585667144e-06, 'epoch': 0.07}

 82%|████████▏ | 8159/10000 [20:52:38<4:22:15,  8.55s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6278263330459595, dino_loss: 0.51953125, depth_loss: 0.025697283446788788, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8258947730064392, dino_loss: 0.6953125, depth_loss: 0.06451934576034546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8160/10000 [20:52:46<4:16:29,  8.36s/it]
                                                         
{'loss': 1.4454, 'grad_norm': 3.629711866378784, 'learning_rate': 4.487009868288888e-06, 'epoch': 0.07}

 82%|████████▏ | 8160/10000 [20:52:46<4:16:29,  8.36s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7272533178329468, dino_loss: 0.6015625, depth_loss: 0.047612786293029785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9124813675880432, dino_loss: 0.67578125, depth_loss: 0.05574905499815941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8161/10000 [20:52:56<4:25:59,  8.68s/it]
                                                         
{'loss': 2.0442, 'grad_norm': 3.084571123123169, 'learning_rate': 4.482285221280827e-06, 'epoch': 0.07}

 82%|████████▏ | 8161/10000 [20:52:56<4:25:59,  8.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8640227913856506, dino_loss: 0.61328125, depth_loss: 0.055133238434791565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9461526870727539, dino_loss: 0.65625, depth_loss: 0.043761126697063446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8162/10000 [20:53:04<4:27:38,  8.74s/it]
                                                         
{'loss': 2.5356, 'grad_norm': 5.065709114074707, 'learning_rate': 4.477562818059203e-06, 'epoch': 0.07}

 82%|████████▏ | 8162/10000 [20:53:04<4:27:38,  8.74s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7103849649429321, dino_loss: 0.65234375, depth_loss: 0.037775669246912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8257530927658081, dino_loss: 0.65234375, depth_loss: 0.06384418159723282, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8163/10000 [20:53:13<4:23:56,  8.62s/it]
                                                         
{'loss': 2.2429, 'grad_norm': 4.078712463378906, 'learning_rate': 4.472842659140458e-06, 'epoch': 0.07}

 82%|████████▏ | 8163/10000 [20:53:13<4:23:56,  8.62s/it]the number of masks: 8
seg_loss: 0.8352055549621582, dino_loss: 0.6484375, depth_loss: 0.06787365674972534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9988818168640137, dino_loss: 0.73828125, depth_loss: 0.06269767880439758, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8164/10000 [20:53:19<4:03:19,  7.95s/it]
                                                         
{'loss': 2.4547, 'grad_norm': 3.2641000747680664, 'learning_rate': 4.468124745040767e-06, 'epoch': 0.07}

 82%|████████▏ | 8164/10000 [20:53:19<4:03:19,  7.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8813976049423218, dino_loss: 0.62890625, depth_loss: 0.06512247025966644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8368924856185913, dino_loss: 0.71875, depth_loss: 0.05562395602464676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8165/10000 [20:53:28<4:07:20,  8.09s/it]
                                                         
{'loss': 2.4136, 'grad_norm': 6.305727958679199, 'learning_rate': 4.463409076276095e-06, 'epoch': 0.07}

 82%|████████▏ | 8165/10000 [20:53:28<4:07:20,  8.09s/it]the number of masks: 8
seg_loss: 0.9386425018310547, dino_loss: 0.6328125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7978026270866394, dino_loss: 0.625, depth_loss: 0.05697091668844223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8166/10000 [20:53:35<4:00:19,  7.86s/it]
                                                         
{'loss': 2.138, 'grad_norm': 1.8075858354568481, 'learning_rate': 4.458695653362125e-06, 'epoch': 0.07}

 82%|████████▏ | 8166/10000 [20:53:35<4:00:19,  7.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7218167781829834, dino_loss: 0.65625, depth_loss: 0.06502518802881241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8007926344871521, dino_loss: 0.5859375, depth_loss: 0.028721744194626808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8167/10000 [20:53:46<4:25:55,  8.70s/it]
                                                         
{'loss': 1.7556, 'grad_norm': 3.8486626148223877, 'learning_rate': 4.4539844768143214e-06, 'epoch': 0.07}

 82%|████████▏ | 8167/10000 [20:53:46<4:25:55,  8.70s/it]the number of masks: 8
seg_loss: 0.9071323871612549, dino_loss: 0.66796875, depth_loss: 0.06516994535923004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
seg_loss: 0.788174033164978, dino_loss: 0.63671875, depth_loss: 0.05314946174621582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8168/10000 [20:53:52<4:07:05,  8.09s/it]
                                                         
{'loss': 2.587, 'grad_norm': 17.49863624572754, 'learning_rate': 4.449275547147877e-06, 'epoch': 0.07}

 82%|████████▏ | 8168/10000 [20:53:52<4:07:05,  8.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0005964040756226, dino_loss: 0.67578125, depth_loss: 0.05843646824359894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.671875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8169/10000 [20:53:58<3:49:42,  7.53s/it]
                                                         
{'loss': 1.7272, 'grad_norm': 3.178032636642456, 'learning_rate': 4.444568864877769e-06, 'epoch': 0.07}

 82%|████████▏ | 8169/10000 [20:53:58<3:49:42,  7.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7874481081962585, dino_loss: 0.66796875, depth_loss: 0.08311370015144348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6305252313613892, dino_loss: 0.640625, depth_loss: 0.06480715423822403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8170/10000 [20:54:07<3:57:18,  7.78s/it]
                                                         
{'loss': 1.6662, 'grad_norm': 2.661377429962158, 'learning_rate': 4.439864430518692e-06, 'epoch': 0.07}

 82%|████████▏ | 8170/10000 [20:54:07<3:57:18,  7.78s/it]the number of masks: 8
seg_loss: 1.12929105758667, dino_loss: 0.6953125, depth_loss: 0.08285489678382874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6729416251182556, dino_loss: 0.66015625, depth_loss: 0.062346167862415314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8171/10000 [20:54:15<3:56:32,  7.76s/it]
                                                         
{'loss': 2.4039, 'grad_norm': 4.838074207305908, 'learning_rate': 4.435162244585142e-06, 'epoch': 0.07}

 82%|████████▏ | 8171/10000 [20:54:15<3:56:32,  7.76s/it]the number of masks: 8
seg_loss: 0.795548677444458, dino_loss: 0.6796875, depth_loss: 0.05282039940357208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7613323330879211, dino_loss: 0.7109375, depth_loss: 0.07452436536550522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8172/10000 [20:54:23<3:59:23,  7.86s/it]
                                                         
{'loss': 2.1661, 'grad_norm': 5.660040378570557, 'learning_rate': 4.430462307591326e-06, 'epoch': 0.07}

 82%|████████▏ | 8172/10000 [20:54:23<3:59:23,  7.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.886523962020874, dino_loss: 0.703125, depth_loss: 0.06111340969800949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1097661256790161, dino_loss: 0.6015625, depth_loss: 0.04294799268245697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8173/10000 [20:54:31<4:01:48,  7.94s/it]
                                                         
{'loss': 2.3318, 'grad_norm': 5.548961639404297, 'learning_rate': 4.425764620051231e-06, 'epoch': 0.07}

 82%|████████▏ | 8173/10000 [20:54:31<4:01:48,  7.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7516800165176392, dino_loss: 0.703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6874856352806091, dino_loss: 0.68359375, depth_loss: 0.0645604282617569, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8174/10000 [20:54:40<4:15:05,  8.38s/it]
                                                         
{'loss': 1.9832, 'grad_norm': 3.9571564197540283, 'learning_rate': 4.421069182478576e-06, 'epoch': 0.07}

 82%|████████▏ | 8174/10000 [20:54:40<4:15:05,  8.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7514111399650574, dino_loss: 0.68359375, depth_loss: 0.050960950553417206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7278610467910767, dino_loss: 0.6484375, depth_loss: 0.0682537779211998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8175/10000 [20:54:50<4:26:26,  8.76s/it]
                                                         
{'loss': 1.7729, 'grad_norm': 4.8059306144714355, 'learning_rate': 4.416375995386857e-06, 'epoch': 0.07}

 82%|████████▏ | 8175/10000 [20:54:50<4:26:26,  8.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9928309321403503, dino_loss: 0.703125, depth_loss: 0.054045677185058594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0079652070999146, dino_loss: 0.0, depth_loss: 0.06777703016996384, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8176/10000 [20:54:57<4:11:48,  8.28s/it]
                                                         
{'loss': 2.1262, 'grad_norm': 6.061356544494629, 'learning_rate': 4.411685059289314e-06, 'epoch': 0.07}

 82%|████████▏ | 8176/10000 [20:54:57<4:11:48,  8.28s/it]the number of masks: 8
the number of masks: 1
the number of masks: 8
the number of masks: 8
seg_loss: 0.8469381332397461, dino_loss: 0.69140625, depth_loss: 0.0555383563041687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6437539458274841, dino_loss: 0.63671875, depth_loss: 0.046628475189208984, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8177/10000 [20:55:07<4:31:52,  8.95s/it]
                                                         
{'loss': 2.1267, 'grad_norm': 3.9807653427124023, 'learning_rate': 4.406996374698944e-06, 'epoch': 0.07}

 82%|████████▏ | 8177/10000 [20:55:07<4:31:52,  8.95s/it]seg_loss: 0.0, dino_loss: 0.6484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8580425977706909, dino_loss: 0.6796875, depth_loss: 0.05104183405637741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8178/10000 [20:55:13<3:57:33,  7.82s/it]
                                                         
{'loss': 1.576, 'grad_norm': 2.3369855880737305, 'learning_rate': 4.40230994212848e-06, 'epoch': 0.07}

 82%|████████▏ | 8178/10000 [20:55:13<3:57:33,  7.82s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6932775378227234, dino_loss: 0.51171875, depth_loss: 0.0433344766497612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9490393996238708, dino_loss: 0.671875, depth_loss: 0.06826581060886383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8179/10000 [20:55:22<4:11:20,  8.28s/it]
                                                         
{'loss': 2.2184, 'grad_norm': 3.8735406398773193, 'learning_rate': 4.397625762090435e-06, 'epoch': 0.07}

 82%|████████▏ | 8179/10000 [20:55:22<4:11:20,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8308913111686707, dino_loss: 0.671875, depth_loss: 0.05427497252821922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7404192686080933, dino_loss: 0.6875, depth_loss: 0.05415830388665199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8180/10000 [20:55:31<4:15:00,  8.41s/it]
                                                         
{'loss': 2.0257, 'grad_norm': 3.155703067779541, 'learning_rate': 4.392943835097069e-06, 'epoch': 0.07}

 82%|████████▏ | 8180/10000 [20:55:31<4:15:00,  8.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8772836327552795, dino_loss: 0.80859375, depth_loss: 0.04982137680053711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7954787611961365, dino_loss: 0.671875, depth_loss: 0.056782882660627365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8181/10000 [20:55:38<4:06:41,  8.14s/it]
                                                         
{'loss': 2.0262, 'grad_norm': 3.2046167850494385, 'learning_rate': 4.388264161660374e-06, 'epoch': 0.07}

 82%|████████▏ | 8181/10000 [20:55:38<4:06:41,  8.14s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.803999125957489, dino_loss: 0.69921875, depth_loss: 0.04815782606601715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9578820466995239, dino_loss: 0.69140625, depth_loss: 0.06977793574333191, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8182/10000 [20:55:45<3:58:03,  7.86s/it]
                                                         
{'loss': 2.0012, 'grad_norm': 4.000193119049072, 'learning_rate': 4.383586742292128e-06, 'epoch': 0.07}

 82%|████████▏ | 8182/10000 [20:55:45<3:58:03,  7.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0389114618301392, dino_loss: 0.6953125, depth_loss: 0.05449303239583969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5933765172958374, dino_loss: 0.66015625, depth_loss: 0.05202637240290642, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8183/10000 [20:55:54<4:03:38,  8.05s/it]
                                                         
{'loss': 2.1204, 'grad_norm': 5.449853420257568, 'learning_rate': 4.3789115775038276e-06, 'epoch': 0.07}

 82%|████████▏ | 8183/10000 [20:55:54<4:03:38,  8.05s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6610572338104248, dino_loss: 0.5, depth_loss: 0.05801832675933838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7329481840133667, dino_loss: 0.703125, depth_loss: 0.06664380431175232, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8184/10000 [20:56:03<4:09:07,  8.23s/it]
                                                         
{'loss': 1.927, 'grad_norm': 5.805575370788574, 'learning_rate': 4.374238667806765e-06, 'epoch': 0.07}

 82%|████████▏ | 8184/10000 [20:56:03<4:09:07,  8.23s/it]the number of masks: 6
the number of masks: 8
seg_loss: 0.9420132637023926, dino_loss: 0.72265625, depth_loss: 0.05727387219667435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7499771118164062, dino_loss: 0.0, depth_loss: 0.03925728052854538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8185/10000 [20:56:11<4:06:06,  8.14s/it]
                                                         
{'loss': 1.7596, 'grad_norm': 6.147118091583252, 'learning_rate': 4.369568013711947e-06, 'epoch': 0.07}

 82%|████████▏ | 8185/10000 [20:56:11<4:06:06,  8.14s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0208619832992554, dino_loss: 0.66015625, depth_loss: 0.06639484316110611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.74609375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8186/10000 [20:56:16<3:38:48,  7.24s/it]
                                                         
{'loss': 1.9162, 'grad_norm': 2.5269417762756348, 'learning_rate': 4.364899615730159e-06, 'epoch': 0.07}

 82%|████████▏ | 8186/10000 [20:56:16<3:38:48,  7.24s/it]the number of masks: 8
seg_loss: 0.748947024345398, dino_loss: 0.69140625, depth_loss: 0.0767122358083725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7148703336715698, dino_loss: 0.68359375, depth_loss: 0.04295980930328369, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8187/10000 [20:56:24<3:49:41,  7.60s/it]
                                                         
{'loss': 2.8956, 'grad_norm': 4.364686965942383, 'learning_rate': 4.360233474371919e-06, 'epoch': 0.07}

 82%|████████▏ | 8187/10000 [20:56:24<3:49:41,  7.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.843224048614502, dino_loss: 0.6484375, depth_loss: 0.0420890636742115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7751396894454956, dino_loss: 0.66015625, depth_loss: 0.05199378728866577, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8188/10000 [20:56:33<4:03:20,  8.06s/it]
                                                         
{'loss': 2.7708, 'grad_norm': 3.119157552719116, 'learning_rate': 4.35556959014752e-06, 'epoch': 0.07}

 82%|████████▏ | 8188/10000 [20:56:33<4:03:20,  8.06s/it]the number of masks: 8
seg_loss: 0.9653035998344421, dino_loss: 0.0, depth_loss: 0.058293163776397705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.030402421951294, dino_loss: 0.67578125, depth_loss: 0.06081613898277283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8189/10000 [20:56:40<3:48:14,  7.56s/it]
                                                         
{'loss': 2.3038, 'grad_norm': 3.413090467453003, 'learning_rate': 4.3509079635669805e-06, 'epoch': 0.07}

 82%|████████▏ | 8189/10000 [20:56:40<3:48:14,  7.56s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.8713518381118774, dino_loss: 0.66015625, depth_loss: 0.050943780690431595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8414424657821655, dino_loss: 0.734375, depth_loss: 0.08602745085954666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8190/10000 [20:56:46<3:40:31,  7.31s/it]
                                                         
{'loss': 1.7003, 'grad_norm': 3.197742462158203, 'learning_rate': 4.346248595140112e-06, 'epoch': 0.07}

 82%|████████▏ | 8190/10000 [20:56:46<3:40:31,  7.31s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6433516144752502, dino_loss: 0.70703125, depth_loss: 0.07008206099271774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7239920496940613, dino_loss: 0.640625, depth_loss: 0.058398663997650146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8191/10000 [20:56:55<3:51:17,  7.67s/it]
                                                         
{'loss': 1.7874, 'grad_norm': 4.480532646179199, 'learning_rate': 4.34159148537644e-06, 'epoch': 0.07}

 82%|████████▏ | 8191/10000 [20:56:55<3:51:17,  7.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8804706335067749, dino_loss: 0.796875, depth_loss: 0.06543102115392685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9050269722938538, dino_loss: 0.6953125, depth_loss: 0.038777053356170654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8192/10000 [20:57:04<4:03:47,  8.09s/it]
                                                         
{'loss': 2.1818, 'grad_norm': 5.569647789001465, 'learning_rate': 4.336936634785271e-06, 'epoch': 0.07}

 82%|████████▏ | 8192/10000 [20:57:04<4:03:47,  8.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1410317420959473, dino_loss: 0.7265625, depth_loss: 0.08416316658258438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6321658492088318, dino_loss: 0.58984375, depth_loss: 0.04202716797590256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8193/10000 [20:57:14<4:22:54,  8.73s/it]
                                                         
{'loss': 1.6601, 'grad_norm': 3.4228761196136475, 'learning_rate': 4.332284043875637e-06, 'epoch': 0.07}

 82%|████████▏ | 8193/10000 [20:57:14<4:22:54,  8.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8221131563186646, dino_loss: 0.5859375, depth_loss: 0.05768421292304993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.901656985282898, dino_loss: 0.7421875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8194/10000 [20:57:22<4:10:34,  8.32s/it]
                                                         
{'loss': 2.0473, 'grad_norm': 7.901798725128174, 'learning_rate': 4.327633713156351e-06, 'epoch': 0.07}

 82%|████████▏ | 8194/10000 [20:57:22<4:10:34,  8.32s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8490465879440308, dino_loss: 0.71484375, depth_loss: 0.05230521410703659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.994672954082489, dino_loss: 0.76171875, depth_loss: 0.07515521347522736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8195/10000 [20:57:30<4:15:23,  8.49s/it]
                                                         
{'loss': 2.3021, 'grad_norm': 4.926835536956787, 'learning_rate': 4.322985643135952e-06, 'epoch': 0.07}

 82%|████████▏ | 8195/10000 [20:57:30<4:15:23,  8.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.7339980006217957, dino_loss: 0.66015625, depth_loss: 0.057691410183906555, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5974453091621399, dino_loss: 0.68359375, depth_loss: 0.05947849899530411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8196/10000 [20:57:39<4:20:00,  8.65s/it]
                                                         
{'loss': 1.8049, 'grad_norm': 5.8075337409973145, 'learning_rate': 4.318339834322768e-06, 'epoch': 0.07}

 82%|████████▏ | 8196/10000 [20:57:39<4:20:00,  8.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9077608585357666, dino_loss: 0.0, depth_loss: 0.045728303492069244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8154453039169312, dino_loss: 0.640625, depth_loss: 0.07457519322633743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8197/10000 [20:57:48<4:17:26,  8.57s/it]
                                                         
{'loss': 1.6955, 'grad_norm': 3.648456573486328, 'learning_rate': 4.313696287224839e-06, 'epoch': 0.07}

 82%|████████▏ | 8197/10000 [20:57:48<4:17:26,  8.57s/it]the number of masks: 8
seg_loss: 0.9267316460609436, dino_loss: 0.68359375, depth_loss: 0.053295064717531204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5876652002334595, dino_loss: 0.65625, depth_loss: 0.07917198538780212, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8198/10000 [20:57:53<3:49:24,  7.64s/it]
                                                         
{'loss': 2.2627, 'grad_norm': 6.005942344665527, 'learning_rate': 4.309055002349987e-06, 'epoch': 0.07}

 82%|████████▏ | 8198/10000 [20:57:53<3:49:24,  7.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9702258110046387, dino_loss: 0.6796875, depth_loss: 0.06806978583335876, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8371879458427429, dino_loss: 0.67578125, depth_loss: 0.057424020022153854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8199/10000 [20:58:03<4:04:03,  8.13s/it]
                                                         
{'loss': 2.4598, 'grad_norm': 2.701227903366089, 'learning_rate': 4.304415980205767e-06, 'epoch': 0.07}

 82%|████████▏ | 8199/10000 [20:58:03<4:04:03,  8.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8404858112335205, dino_loss: 0.65625, depth_loss: 0.06622784584760666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6634429693222046, dino_loss: 0.65625, depth_loss: 0.05657985806465149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8200/10000 [20:58:11<4:08:41,  8.29s/it]
                                                         
{'loss': 1.8065, 'grad_norm': 3.8291919231414795, 'learning_rate': 4.299779221299499e-06, 'epoch': 0.07}

 82%|████████▏ | 8200/10000 [20:58:11<4:08:41,  8.29s/it]the number of masks: 8
seg_loss: 0.9117296934127808, dino_loss: 0.63671875, depth_loss: 0.06514766067266464, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0154097080230713, dino_loss: 0.73046875, depth_loss: 0.07939177751541138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8201/10000 [20:58:17<3:49:18,  7.65s/it]
                                                         
{'loss': 2.4764, 'grad_norm': 3.2920923233032227, 'learning_rate': 4.295144726138259e-06, 'epoch': 0.07}

 82%|████████▏ | 8201/10000 [20:58:17<3:49:18,  7.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8768306970596313, dino_loss: 0.66796875, depth_loss: 0.052353981882333755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8517987132072449, dino_loss: 0.68359375, depth_loss: 0.055193133652210236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8202/10000 [20:58:26<3:59:42,  8.00s/it]
                                                         
{'loss': 2.4496, 'grad_norm': 3.9825499057769775, 'learning_rate': 4.290512495228857e-06, 'epoch': 0.07}

 82%|████████▏ | 8202/10000 [20:58:26<3:59:42,  8.00s/it]the number of masks: 8
seg_loss: 0.8510029315948486, dino_loss: 0.7109375, depth_loss: 0.059589650481939316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7352230548858643, dino_loss: 0.6875, depth_loss: 0.05768946185708046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8203/10000 [20:58:34<3:53:42,  7.80s/it]
                                                         
{'loss': 2.3243, 'grad_norm': 4.4920854568481445, 'learning_rate': 4.285882529077872e-06, 'epoch': 0.07}

 82%|████████▏ | 8203/10000 [20:58:34<3:53:42,  7.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9529816508293152, dino_loss: 0.78515625, depth_loss: 0.056609880179166794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9389892220497131, dino_loss: 0.69140625, depth_loss: 0.04749957472085953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8204/10000 [20:58:41<3:47:38,  7.60s/it]
                                                         
{'loss': 2.3006, 'grad_norm': 2.699357032775879, 'learning_rate': 4.281254828191633e-06, 'epoch': 0.07}

 82%|████████▏ | 8204/10000 [20:58:41<3:47:38,  7.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9712202548980713, dino_loss: 0.73828125, depth_loss: 0.04647073149681091, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9535002708435059, dino_loss: 0.66796875, depth_loss: 0.0667421966791153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8205/10000 [20:58:49<3:57:49,  7.95s/it]
                                                         
{'loss': 2.0658, 'grad_norm': 5.425789833068848, 'learning_rate': 4.27662939307622e-06, 'epoch': 0.07}

 82%|████████▏ | 8205/10000 [20:58:49<3:57:49,  7.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9465948939323425, dino_loss: 0.6796875, depth_loss: 0.04975742846727371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9392753839492798, dino_loss: 0.69921875, depth_loss: 0.06372621655464172, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8206/10000 [20:58:57<3:50:56,  7.72s/it]
                                                         
{'loss': 2.4166, 'grad_norm': 5.051933765411377, 'learning_rate': 4.272006224237452e-06, 'epoch': 0.07}

 82%|████████▏ | 8206/10000 [20:58:57<3:50:56,  7.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6264755725860596, dino_loss: 0.546875, depth_loss: 0.04304836690425873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0575060844421387, dino_loss: 0.5, depth_loss: 0.05162005126476288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8207/10000 [20:59:03<3:36:25,  7.24s/it]
                                                         
{'loss': 1.7635, 'grad_norm': 6.696920871734619, 'learning_rate': 4.267385322180928e-06, 'epoch': 0.07}

 82%|████████▏ | 8207/10000 [20:59:03<3:36:25,  7.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0290882587432861, dino_loss: 0.640625, depth_loss: 0.07125607132911682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.72072434425354, dino_loss: 0.5546875, depth_loss: 0.06429818272590637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8208/10000 [20:59:12<3:56:38,  7.92s/it]
                                                         
{'loss': 2.1765, 'grad_norm': 3.1488637924194336, 'learning_rate': 4.26276668741196e-06, 'epoch': 0.07}

 82%|████████▏ | 8208/10000 [20:59:12<3:56:38,  7.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6389555335044861, dino_loss: 0.67578125, depth_loss: 0.056592561304569244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4684358835220337, dino_loss: 0.5, depth_loss: 0.03274783119559288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8209/10000 [20:59:19<3:42:09,  7.44s/it]
                                                         
{'loss': 1.5744, 'grad_norm': 5.578860282897949, 'learning_rate': 4.258150320435661e-06, 'epoch': 0.07}

 82%|████████▏ | 8209/10000 [20:59:19<3:42:09,  7.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6915279626846313, dino_loss: 0.734375, depth_loss: 0.10156688094139099, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8858692646026611, dino_loss: 0.66796875, depth_loss: 0.06277395784854889, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8210/10000 [20:59:26<3:41:59,  7.44s/it]
                                                         
{'loss': 2.3586, 'grad_norm': 5.155243873596191, 'learning_rate': 4.253536221756851e-06, 'epoch': 0.07}

 82%|████████▏ | 8210/10000 [20:59:26<3:41:59,  7.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8966312408447266, dino_loss: 0.67578125, depth_loss: 0.06380914151668549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.4756625294685364, dino_loss: 0.49609375, depth_loss: 0.04314522445201874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8211/10000 [20:59:35<3:52:34,  7.80s/it]
                                                         
{'loss': 1.6655, 'grad_norm': 4.957160949707031, 'learning_rate': 4.248924391880138e-06, 'epoch': 0.07}

 82%|████████▏ | 8211/10000 [20:59:35<3:52:34,  7.80s/it]the number of masks: 8
seg_loss: 0.48884105682373047, dino_loss: 0.62109375, depth_loss: 0.04803872108459473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8931159377098083, dino_loss: 0.65625, depth_loss: 0.052447155117988586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8212/10000 [20:59:43<3:56:48,  7.95s/it]
                                                         
{'loss': 2.1999, 'grad_norm': 3.424363136291504, 'learning_rate': 4.244314831309845e-06, 'epoch': 0.07}

 82%|████████▏ | 8212/10000 [20:59:43<3:56:48,  7.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.143712043762207, dino_loss: 0.65234375, depth_loss: 0.049622513353824615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7353956699371338, dino_loss: 0.61328125, depth_loss: 0.04033839702606201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8213/10000 [20:59:51<3:53:41,  7.85s/it]
                                                         
{'loss': 2.4708, 'grad_norm': 4.16700553894043, 'learning_rate': 4.239707540550084e-06, 'epoch': 0.07}

 82%|████████▏ | 8213/10000 [20:59:51<3:53:41,  7.85s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9205447435379028, dino_loss: 0.74609375, depth_loss: 0.0753052681684494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9955853223800659, dino_loss: 0.69140625, depth_loss: 0.08376043289899826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8214/10000 [20:59:57<3:38:53,  7.35s/it]
                                                         
{'loss': 2.3645, 'grad_norm': 2.651252508163452, 'learning_rate': 4.235102520104681e-06, 'epoch': 0.07}

 82%|████████▏ | 8214/10000 [20:59:57<3:38:53,  7.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8910099864006042, dino_loss: 0.72265625, depth_loss: 0.05941181629896164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8715687394142151, dino_loss: 0.7734375, depth_loss: 0.06528604030609131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8215/10000 [21:00:05<3:50:52,  7.76s/it]
                                                         
{'loss': 2.9756, 'grad_norm': 5.386687278747559, 'learning_rate': 4.230499770477258e-06, 'epoch': 0.07}

 82%|████████▏ | 8215/10000 [21:00:05<3:50:52,  7.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6864871978759766, dino_loss: 0.57421875, depth_loss: 0.059024080634117126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7094566822052002, dino_loss: 0.73828125, depth_loss: 0.032568104565143585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8216/10000 [21:00:14<4:01:39,  8.13s/it]
                                                         
{'loss': 1.8207, 'grad_norm': 2.951484441757202, 'learning_rate': 4.225899292171151e-06, 'epoch': 0.07}

 82%|████████▏ | 8216/10000 [21:00:14<4:01:39,  8.13s/it]the number of masks: 8
seg_loss: 0.9119939804077148, dino_loss: 0.69921875, depth_loss: 0.05875442177057266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8593901991844177, dino_loss: 0.71484375, depth_loss: 0.05701432377099991, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8217/10000 [21:00:21<3:48:11,  7.68s/it]
                                                         
{'loss': 2.4503, 'grad_norm': 5.19433069229126, 'learning_rate': 4.221301085689466e-06, 'epoch': 0.07}

 82%|████████▏ | 8217/10000 [21:00:21<3:48:11,  7.68s/it]seg_loss: 0.0, dino_loss: 0.6171875, depth_loss: 0.07487694919109344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8121833801269531, dino_loss: 0.66796875, depth_loss: 0.06368298828601837, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8218/10000 [21:00:27<3:36:22,  7.29s/it]
                                                         
{'loss': 1.7614, 'grad_norm': 1.830836296081543, 'learning_rate': 4.21670515153505e-06, 'epoch': 0.07}

 82%|████████▏ | 8218/10000 [21:00:27<3:36:22,  7.29s/it]the number of masks: 8
seg_loss: 0.2673735022544861, dino_loss: 0.671875, depth_loss: 0.07142584025859833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7730671167373657, dino_loss: 0.6875, depth_loss: 0.07484958320856094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8219/10000 [21:00:34<3:29:43,  7.07s/it]
                                                         
{'loss': 1.345, 'grad_norm': 4.983770847320557, 'learning_rate': 4.212111490210519e-06, 'epoch': 0.07}

 82%|████████▏ | 8219/10000 [21:00:34<3:29:43,  7.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0198442935943604, dino_loss: 0.71875, depth_loss: 0.04209267348051071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8332501649856567, dino_loss: 0.609375, depth_loss: 0.047995321452617645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8220/10000 [21:00:45<4:05:57,  8.29s/it]
                                                         
{'loss': 2.4734, 'grad_norm': 5.090211868286133, 'learning_rate': 4.207520102218213e-06, 'epoch': 0.07}

 82%|████████▏ | 8220/10000 [21:00:45<4:05:57,  8.29s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8526142835617065, dino_loss: 0.6796875, depth_loss: 0.0582401305437088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8079472780227661, dino_loss: 0.66796875, depth_loss: 0.049783915281295776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8221/10000 [21:00:53<3:58:27,  8.04s/it]
                                                         
{'loss': 2.2712, 'grad_norm': 3.1663379669189453, 'learning_rate': 4.202930988060247e-06, 'epoch': 0.07}

 82%|████████▏ | 8221/10000 [21:00:53<3:58:27,  8.04s/it]the number of masks: 8
seg_loss: 0.9035155773162842, dino_loss: 0.83203125, depth_loss: 0.05814775824546814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8469542264938354, dino_loss: 0.640625, depth_loss: 0.05114118382334709, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8222/10000 [21:00:59<3:40:02,  7.43s/it]
                                                         
{'loss': 1.7585, 'grad_norm': 3.3980019092559814, 'learning_rate': 4.198344148238481e-06, 'epoch': 0.07}

 82%|████████▏ | 8222/10000 [21:00:59<3:40:02,  7.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8388720750808716, dino_loss: 0.703125, depth_loss: 0.056967757642269135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.778886079788208, dino_loss: 0.7109375, depth_loss: 0.06288217753171921, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8223/10000 [21:01:07<3:50:08,  7.77s/it]
                                                         
{'loss': 2.4398, 'grad_norm': 2.4007344245910645, 'learning_rate': 4.193759583254531e-06, 'epoch': 0.07}

 82%|████████▏ | 8223/10000 [21:01:07<3:50:08,  7.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7590755820274353, dino_loss: 0.59765625, depth_loss: 0.059265490621328354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0167629718780518, dino_loss: 0.65625, depth_loss: 0.04515688866376877, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8224/10000 [21:01:17<4:10:22,  8.46s/it]
                                                         
{'loss': 2.183, 'grad_norm': 1.9373705387115479, 'learning_rate': 4.1891772936097445e-06, 'epoch': 0.07}

 82%|████████▏ | 8224/10000 [21:01:17<4:10:22,  8.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7836291790008545, dino_loss: 0.69140625, depth_loss: 0.0556197427213192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.711189329624176, dino_loss: 0.65234375, depth_loss: 0.06049489229917526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8225/10000 [21:01:26<4:14:24,  8.60s/it]
                                                         
{'loss': 2.1143, 'grad_norm': 5.271751403808594, 'learning_rate': 4.184597279805241e-06, 'epoch': 0.07}

 82%|████████▏ | 8225/10000 [21:01:26<4:14:24,  8.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6691831946372986, dino_loss: 0.578125, depth_loss: 0.052296727895736694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8503867387771606, dino_loss: 0.71875, depth_loss: 0.06009160727262497, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8226/10000 [21:01:35<4:17:29,  8.71s/it]
                                                         
{'loss': 2.1016, 'grad_norm': 3.5426783561706543, 'learning_rate': 4.180019542341889e-06, 'epoch': 0.07}

 82%|████████▏ | 8226/10000 [21:01:35<4:17:29,  8.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9139453172683716, dino_loss: 0.734375, depth_loss: 0.06349718570709229, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6600987315177917, dino_loss: 0.61328125, depth_loss: 0.04485601186752319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8227/10000 [21:01:43<4:06:59,  8.36s/it]
                                                         
{'loss': 2.2365, 'grad_norm': 3.2871994972229004, 'learning_rate': 4.175444081720292e-06, 'epoch': 0.07}

 82%|████████▏ | 8227/10000 [21:01:43<4:06:59,  8.36s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8038327693939209, dino_loss: 0.0, depth_loss: 0.05171387642621994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9561721682548523, dino_loss: 0.6015625, depth_loss: 0.04361055791378021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8228/10000 [21:01:50<3:55:21,  7.97s/it]
                                                         
{'loss': 1.998, 'grad_norm': 3.5757369995117188, 'learning_rate': 4.170870898440821e-06, 'epoch': 0.07}

 82%|████████▏ | 8228/10000 [21:01:50<3:55:21,  7.97s/it]the number of masks: 8
seg_loss: 0.840920090675354, dino_loss: 0.65234375, depth_loss: 0.054340437054634094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7721378803253174, dino_loss: 0.765625, depth_loss: 0.06085415184497833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8229/10000 [21:01:55<3:32:58,  7.22s/it]
                                                         
{'loss': 2.0275, 'grad_norm': 5.216871738433838, 'learning_rate': 4.166299993003592e-06, 'epoch': 0.07}

 82%|████████▏ | 8229/10000 [21:01:55<3:32:58,  7.22s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6766893863677979, dino_loss: 0.66796875, depth_loss: 0.060715772211551666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0468425750732422, dino_loss: 0.69140625, depth_loss: 0.08168205618858337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8230/10000 [21:02:04<3:48:04,  7.73s/it]
                                                         
{'loss': 2.3458, 'grad_norm': 5.768128395080566, 'learning_rate': 4.161731365908481e-06, 'epoch': 0.07}

 82%|████████▏ | 8230/10000 [21:02:04<3:48:04,  7.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0024641752243042, dino_loss: 0.6328125, depth_loss: 0.04474475979804993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0659561157226562, dino_loss: 0.61328125, depth_loss: 0.05641994997859001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8231/10000 [21:02:13<3:56:36,  8.03s/it]
                                                         
{'loss': 2.297, 'grad_norm': 3.0841476917266846, 'learning_rate': 4.157165017655088e-06, 'epoch': 0.07}

 82%|████████▏ | 8231/10000 [21:02:13<3:56:36,  8.03s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.6363739371299744, dino_loss: 0.62109375, depth_loss: 0.05794277787208557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7912132143974304, dino_loss: 0.640625, depth_loss: 0.07687485218048096, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8232/10000 [21:02:21<3:54:22,  7.95s/it]
                                                         
{'loss': 1.9975, 'grad_norm': 7.655491352081299, 'learning_rate': 4.152600948742802e-06, 'epoch': 0.07}

 82%|████████▏ | 8232/10000 [21:02:21<3:54:22,  7.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0105499029159546, dino_loss: 0.625, depth_loss: 0.05939708277583122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.883882999420166, dino_loss: 0.6484375, depth_loss: 0.04573557525873184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8233/10000 [21:02:29<3:59:45,  8.14s/it]
                                                         
{'loss': 2.3805, 'grad_norm': 2.5436806678771973, 'learning_rate': 4.1480391596707215e-06, 'epoch': 0.07}

 82%|████████▏ | 8233/10000 [21:02:29<3:59:45,  8.14s/it]the number of masks: 8
seg_loss: 0.6931467652320862, dino_loss: 0.65625, depth_loss: 0.053314208984375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6241956949234009, dino_loss: 0.50390625, depth_loss: 0.0330059789121151, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8234/10000 [21:02:36<3:47:52,  7.74s/it]
                                                         
{'loss': 2.2976, 'grad_norm': 9.200210571289062, 'learning_rate': 4.1434796509377314e-06, 'epoch': 0.07}

 82%|████████▏ | 8234/10000 [21:02:36<3:47:52,  7.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7404643297195435, dino_loss: 0.59375, depth_loss: 0.05107703059911728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9402081370353699, dino_loss: 0.67578125, depth_loss: 0.05435644090175629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8235/10000 [21:02:44<3:52:34,  7.91s/it]
                                                         
{'loss': 2.2274, 'grad_norm': 2.8451268672943115, 'learning_rate': 4.138922423042449e-06, 'epoch': 0.07}

 82%|████████▏ | 8235/10000 [21:02:44<3:52:34,  7.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8895174860954285, dino_loss: 0.70703125, depth_loss: 0.045379266142845154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7562258243560791, dino_loss: 0.69921875, depth_loss: 0.05045584961771965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8236/10000 [21:02:53<4:03:00,  8.27s/it]
                                                         
{'loss': 2.1678, 'grad_norm': 3.1069445610046387, 'learning_rate': 4.1343674764832526e-06, 'epoch': 0.07}

 82%|████████▏ | 8236/10000 [21:02:53<4:03:00,  8.27s/it]seg_loss: 0.0, dino_loss: 0.6953125, depth_loss: 0.07078883051872253, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1028335094451904, dino_loss: 0.78515625, depth_loss: 0.07572180032730103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8237/10000 [21:02:58<3:31:52,  7.21s/it]
                                                         
{'loss': 2.1246, 'grad_norm': 1.116304874420166, 'learning_rate': 4.129814811758251e-06, 'epoch': 0.07}

 82%|████████▏ | 8237/10000 [21:02:58<3:31:52,  7.21s/it]the number of masks: 8
seg_loss: 1.0448410511016846, dino_loss: 0.65625, depth_loss: 0.059147585183382034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7688471078872681, dino_loss: 0.703125, depth_loss: 0.08608483523130417, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8238/10000 [21:03:04<3:20:40,  6.83s/it]
                                                         
{'loss': 2.1581, 'grad_norm': 3.851933717727661, 'learning_rate': 4.12526442936533e-06, 'epoch': 0.07}

 82%|████████▏ | 8238/10000 [21:03:04<3:20:40,  6.83s/it]the number of masks: 8
seg_loss: 0.8632767200469971, dino_loss: 0.59765625, depth_loss: 0.029828311875462532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8572097420692444, dino_loss: 0.76953125, depth_loss: 0.08175238221883774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8239/10000 [21:03:13<3:37:17,  7.40s/it]
                                                         
{'loss': 2.0527, 'grad_norm': 9.886850357055664, 'learning_rate': 4.120716329802102e-06, 'epoch': 0.07}

 82%|████████▏ | 8239/10000 [21:03:13<3:37:17,  7.40s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7363786101341248, dino_loss: 0.6484375, depth_loss: 0.06505447626113892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9505035281181335, dino_loss: 0.70703125, depth_loss: 0.06345036625862122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8240/10000 [21:03:22<3:48:35,  7.79s/it]
                                                         
{'loss': 2.3648, 'grad_norm': 4.615367412567139, 'learning_rate': 4.116170513565942e-06, 'epoch': 0.07}

 82%|████████▏ | 8240/10000 [21:03:22<3:48:35,  7.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8048753142356873, dino_loss: 0.64453125, depth_loss: 0.07585301250219345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8986517190933228, dino_loss: 0.69140625, depth_loss: 0.04879026859998703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8241/10000 [21:03:28<3:33:15,  7.27s/it]
                                                         
{'loss': 2.2757, 'grad_norm': 8.0011625289917, 'learning_rate': 4.11162698115398e-06, 'epoch': 0.07}

 82%|████████▏ | 8241/10000 [21:03:28<3:33:15,  7.27s/it]the number of masks: 8
seg_loss: 0.38200491666793823, dino_loss: 0.625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8338809013366699, dino_loss: 0.65234375, depth_loss: 0.07271241396665573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8242/10000 [21:03:35<3:33:50,  7.30s/it]
                                                         
{'loss': 2.4629, 'grad_norm': 5.081964492797852, 'learning_rate': 4.107085733063088e-06, 'epoch': 0.07}

 82%|████████▏ | 8242/10000 [21:03:35<3:33:50,  7.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7644092440605164, dino_loss: 0.69140625, depth_loss: 0.05274638533592224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0020865201950073, dino_loss: 0.64453125, depth_loss: 0.0686553567647934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8243/10000 [21:03:44<3:47:56,  7.78s/it]
                                                         
{'loss': 2.6952, 'grad_norm': 6.749166011810303, 'learning_rate': 4.1025467697898835e-06, 'epoch': 0.07}

 82%|████████▏ | 8243/10000 [21:03:44<3:47:56,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7473965883255005, dino_loss: 0.0, depth_loss: 0.04689321294426918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9062919020652771, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8244/10000 [21:03:51<3:42:22,  7.60s/it]
                                                         
{'loss': 1.8419, 'grad_norm': 6.766495704650879, 'learning_rate': 4.098010091830754e-06, 'epoch': 0.07}

 82%|████████▏ | 8244/10000 [21:03:51<3:42:22,  7.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8603273630142212, dino_loss: 0.671875, depth_loss: 0.056441470980644226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9079772233963013, dino_loss: 0.6875, depth_loss: 0.05886773765087128, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8245/10000 [21:03:58<3:35:40,  7.37s/it]
                                                         
{'loss': 1.7195, 'grad_norm': 4.611843109130859, 'learning_rate': 4.093475699681806e-06, 'epoch': 0.07}

 82%|████████▏ | 8245/10000 [21:03:58<3:35:40,  7.37s/it]seg_loss: 0.0, dino_loss: 0.6484375, depth_loss: 0.06839395314455032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7281187176704407, dino_loss: 0.75390625, depth_loss: 0.059758178889751434, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8246/10000 [21:04:03<3:18:08,  6.78s/it]
                                                         
{'loss': 2.0191, 'grad_norm': 2.671921491622925, 'learning_rate': 4.0889435938389234e-06, 'epoch': 0.07}

 82%|████████▏ | 8246/10000 [21:04:03<3:18:08,  6.78s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7014569640159607, dino_loss: 0.671875, depth_loss: 0.05063389241695404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9836393594741821, dino_loss: 0.6875, depth_loss: 0.05736971274018288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8247/10000 [21:04:12<3:35:28,  7.38s/it]
                                                         
{'loss': 2.4959, 'grad_norm': 3.066676378250122, 'learning_rate': 4.084413774797729e-06, 'epoch': 0.07}

 82%|████████▏ | 8247/10000 [21:04:12<3:35:28,  7.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8989208936691284, dino_loss: 0.66796875, depth_loss: 0.05512075498700142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8037977814674377, dino_loss: 0.69140625, depth_loss: 0.08006644248962402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8248/10000 [21:04:19<3:28:17,  7.13s/it]
                                                         
{'loss': 2.1474, 'grad_norm': 5.9174323081970215, 'learning_rate': 4.079886243053607e-06, 'epoch': 0.07}

 82%|████████▏ | 8248/10000 [21:04:19<3:28:17,  7.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1212711334228516, dino_loss: 0.7109375, depth_loss: 0.06250777840614319, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8071364164352417, dino_loss: 0.0, depth_loss: 0.07123415917158127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▏ | 8249/10000 [21:04:25<3:24:45,  7.02s/it]
                                                         
{'loss': 2.2244, 'grad_norm': 6.022463798522949, 'learning_rate': 4.075360999101666e-06, 'epoch': 0.07}

 82%|████████▏ | 8249/10000 [21:04:25<3:24:45,  7.02s/it]the number of masks: 8
seg_loss: 0.7438719272613525, dino_loss: 0.60546875, depth_loss: 0.042855311185121536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9442976117134094, dino_loss: 0.67578125, depth_loss: 0.07496433705091476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 82%|████████▎ | 8250/10000 [21:04:32<3:18:00,  6.79s/it]
                                                         
{'loss': 2.1693, 'grad_norm': 12.886215209960938, 'learning_rate': 4.070838043436786e-06, 'epoch': 0.07}

 82%|████████▎ | 8250/10000 [21:04:32<3:18:00,  6.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9479178190231323, dino_loss: 0.671875, depth_loss: 0.07340463250875473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0264692306518555, dino_loss: 0.609375, depth_loss: 0.03513230010867119, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8251/10000 [21:04:39<3:23:36,  6.98s/it]
                                                         
{'loss': 2.6745, 'grad_norm': 3.750253915786743, 'learning_rate': 4.066317376553597e-06, 'epoch': 0.07}

 83%|████████▎ | 8251/10000 [21:04:39<3:23:36,  6.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.8306180238723755, dino_loss: 0.7109375, depth_loss: 0.06430277973413467, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8401950597763062, dino_loss: 0.6640625, depth_loss: 0.07206086814403534, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8252/10000 [21:04:49<3:48:39,  7.85s/it]
                                                         
{'loss': 2.3234, 'grad_norm': 5.512119293212891, 'learning_rate': 4.061798998946459e-06, 'epoch': 0.07}

 83%|████████▎ | 8252/10000 [21:04:49<3:48:39,  7.85s/it]the number of masks: 8
seg_loss: 0.8727321028709412, dino_loss: 0.671875, depth_loss: 0.05164305865764618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5912660360336304, dino_loss: 0.6875, depth_loss: 0.06148284301161766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8253/10000 [21:04:55<3:36:19,  7.43s/it]
                                                         
{'loss': 2.1558, 'grad_norm': 5.124093055725098, 'learning_rate': 4.057282911109503e-06, 'epoch': 0.07}

 83%|████████▎ | 8253/10000 [21:04:55<3:36:19,  7.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0271258354187012, dino_loss: 0.65625, depth_loss: 0.05482739955186844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7922918200492859, dino_loss: 0.6875, depth_loss: 0.05735582858324051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8254/10000 [21:05:04<3:49:43,  7.89s/it]
                                                         
{'loss': 2.609, 'grad_norm': 2.179302930831909, 'learning_rate': 4.052769113536603e-06, 'epoch': 0.07}

 83%|████████▎ | 8254/10000 [21:05:04<3:49:43,  7.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8770572543144226, dino_loss: 0.71484375, depth_loss: 0.06737928092479706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6933342218399048, dino_loss: 0.7265625, depth_loss: 0.08544495701789856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8255/10000 [21:05:14<4:01:57,  8.32s/it]
                                                         
{'loss': 2.3206, 'grad_norm': 2.8731191158294678, 'learning_rate': 4.048257606721381e-06, 'epoch': 0.07}

 83%|████████▎ | 8255/10000 [21:05:14<4:01:57,  8.32s/it]the number of masks: 4
the number of masks: 8
seg_loss: 0.4425378739833832, dino_loss: 0.55078125, depth_loss: 0.039506714791059494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7318019270896912, dino_loss: 0.62890625, depth_loss: 0.08167428523302078, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8256/10000 [21:05:20<3:40:51,  7.60s/it]
                                                         
{'loss': 1.5641, 'grad_norm': 3.875019073486328, 'learning_rate': 4.043748391157204e-06, 'epoch': 0.07}

 83%|████████▎ | 8256/10000 [21:05:20<3:40:51,  7.60s/it]the number of masks: 4
the number of masks: 8
seg_loss: 0.7236779928207397, dino_loss: 0.61328125, depth_loss: 0.049386534839868546, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7257744073867798, dino_loss: 0.74609375, depth_loss: 0.06824305653572083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8257/10000 [21:05:27<3:35:18,  7.41s/it]
                                                         
{'loss': 2.2714, 'grad_norm': 4.9133195877075195, 'learning_rate': 4.039241467337201e-06, 'epoch': 0.07}

 83%|████████▎ | 8257/10000 [21:05:27<3:35:18,  7.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7949488162994385, dino_loss: 0.7109375, depth_loss: 0.06803207099437714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.70703125, depth_loss: 0.06206092610955238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8258/10000 [21:05:33<3:28:20,  7.18s/it]
                                                         
{'loss': 2.1642, 'grad_norm': 2.9340453147888184, 'learning_rate': 4.03473683575423e-06, 'epoch': 0.07}

 83%|████████▎ | 8258/10000 [21:05:33<3:28:20,  7.18s/it]the number of masks: 8
seg_loss: 1.049861192703247, dino_loss: 0.7421875, depth_loss: 0.09237688779830933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8527809381484985, dino_loss: 0.66015625, depth_loss: 0.05430369824171066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8259/10000 [21:05:40<3:24:29,  7.05s/it]
                                                         
{'loss': 2.3525, 'grad_norm': 5.921560764312744, 'learning_rate': 4.03023449690092e-06, 'epoch': 0.07}

 83%|████████▎ | 8259/10000 [21:05:40<3:24:29,  7.05s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6609745025634766, dino_loss: 0.65625, depth_loss: 0.06259268522262573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5131567120552063, dino_loss: 0.62109375, depth_loss: 0.03036641515791416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8260/10000 [21:05:46<3:16:38,  6.78s/it]
                                                         
{'loss': 1.8389, 'grad_norm': 3.5194334983825684, 'learning_rate': 4.025734451269636e-06, 'epoch': 0.07}

 83%|████████▎ | 8260/10000 [21:05:46<3:16:38,  6.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8212433457374573, dino_loss: 0.6875, depth_loss: 0.06265062093734741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9279794692993164, dino_loss: 0.64453125, depth_loss: 0.0591864287853241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8261/10000 [21:05:54<3:22:04,  6.97s/it]
                                                         
{'loss': 2.4114, 'grad_norm': 3.0692331790924072, 'learning_rate': 4.021236699352504e-06, 'epoch': 0.07}

 83%|████████▎ | 8261/10000 [21:05:54<3:22:04,  6.97s/it]the number of masks: 8
the number of masks: 6
seg_loss: 0.7334426045417786, dino_loss: 0.63671875, depth_loss: 0.07801777124404907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9533361792564392, dino_loss: 0.6015625, depth_loss: 0.036843132227659225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8262/10000 [21:06:00<3:17:15,  6.81s/it]
                                                         
{'loss': 2.2213, 'grad_norm': 5.871054172515869, 'learning_rate': 4.016741241641381e-06, 'epoch': 0.07}

 83%|████████▎ | 8262/10000 [21:06:00<3:17:15,  6.81s/it]the number of masks: 8
seg_loss: 1.0217523574829102, dino_loss: 0.69140625, depth_loss: 0.04555423930287361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.943085789680481, dino_loss: 0.68359375, depth_loss: 0.0766054168343544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8263/10000 [21:06:06<3:09:44,  6.55s/it]
                                                         
{'loss': 2.1911, 'grad_norm': 2.3260953426361084, 'learning_rate': 4.012248078627892e-06, 'epoch': 0.07}

 83%|████████▎ | 8263/10000 [21:06:06<3:09:44,  6.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8918992280960083, dino_loss: 0.6953125, depth_loss: 0.07029955834150314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0012695789337158, dino_loss: 0.65625, depth_loss: 0.05934496968984604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8264/10000 [21:06:15<3:33:19,  7.37s/it]
                                                         
{'loss': 2.3925, 'grad_norm': 2.2494328022003174, 'learning_rate': 4.007757210803395e-06, 'epoch': 0.07}

 83%|████████▎ | 8264/10000 [21:06:15<3:33:19,  7.37s/it]seg_loss: 0.0, dino_loss: 0.59765625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8281382322311401, dino_loss: 0.64453125, depth_loss: 0.061499565839767456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8265/10000 [21:06:23<3:34:01,  7.40s/it]
                                                         
{'loss': 2.2727, 'grad_norm': 2.4487287998199463, 'learning_rate': 4.003268638659005e-06, 'epoch': 0.07}

 83%|████████▎ | 8265/10000 [21:06:23<3:34:01,  7.40s/it]the number of masks: 8
seg_loss: 1.3950845003128052, dino_loss: 0.70703125, depth_loss: 0.06479880213737488, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7233819961547852, dino_loss: 0.640625, depth_loss: 0.0435931496322155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8266/10000 [21:06:30<3:36:29,  7.49s/it]
                                                         
{'loss': 2.7218, 'grad_norm': 22.3866024017334, 'learning_rate': 3.998782362685591e-06, 'epoch': 0.07}

 83%|████████▎ | 8266/10000 [21:06:30<3:36:29,  7.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.922988772392273, dino_loss: 0.65625, depth_loss: 0.07409019768238068, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8440046310424805, dino_loss: 0.6484375, depth_loss: 0.055134326219558716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8267/10000 [21:06:41<4:04:00,  8.45s/it]
                                                         
{'loss': 2.0004, 'grad_norm': 4.896825790405273, 'learning_rate': 3.994298383373768e-06, 'epoch': 0.07}

 83%|████████▎ | 8267/10000 [21:06:41<4:04:00,  8.45s/it]seg_loss: 0.0, dino_loss: 0.69140625, depth_loss: 0.06416907906532288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9893591403961182, dino_loss: 0.69921875, depth_loss: 0.06615739315748215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8268/10000 [21:06:46<3:36:25,  7.50s/it]
                                                         
{'loss': 1.735, 'grad_norm': 2.481778383255005, 'learning_rate': 3.989816701213886e-06, 'epoch': 0.07}

 83%|████████▎ | 8268/10000 [21:06:46<3:36:25,  7.50s/it]the number of masks: 8
seg_loss: 0.9659847021102905, dino_loss: 0.72265625, depth_loss: 0.05367465317249298, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8305982947349548, dino_loss: 0.68359375, depth_loss: 0.06655316799879074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8269/10000 [21:06:54<3:39:44,  7.62s/it]
                                                         
{'loss': 2.4034, 'grad_norm': 9.340721130371094, 'learning_rate': 3.985337316696066e-06, 'epoch': 0.07}

 83%|████████▎ | 8269/10000 [21:06:54<3:39:44,  7.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9563485980033875, dino_loss: 0.66796875, depth_loss: 0.05132231116294861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0187422037124634, dino_loss: 0.6953125, depth_loss: 0.04011092334985733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8270/10000 [21:07:01<3:35:50,  7.49s/it]
                                                         
{'loss': 2.4543, 'grad_norm': 5.776315689086914, 'learning_rate': 3.98086023031016e-06, 'epoch': 0.07}

 83%|████████▎ | 8270/10000 [21:07:01<3:35:50,  7.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9225191473960876, dino_loss: 0.7421875, depth_loss: 0.0668662041425705, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.67578125, depth_loss: 0.05216684564948082, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8271/10000 [21:07:07<3:21:01,  6.98s/it]
                                                         
{'loss': 1.817, 'grad_norm': 3.0692410469055176, 'learning_rate': 3.976385442545774e-06, 'epoch': 0.07}

 83%|████████▎ | 8271/10000 [21:07:07<3:21:01,  6.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9482737183570862, dino_loss: 0.65234375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9980499744415283, dino_loss: 0.6796875, depth_loss: 0.05226096883416176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8272/10000 [21:07:16<3:38:04,  7.57s/it]
                                                         
{'loss': 2.5523, 'grad_norm': 3.91556978225708, 'learning_rate': 3.971912953892268e-06, 'epoch': 0.07}

 83%|████████▎ | 8272/10000 [21:07:16<3:38:04,  7.57s/it]the number of masks: 8
seg_loss: 0.8879387378692627, dino_loss: 0.67578125, depth_loss: 0.06999572366476059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9666100144386292, dino_loss: 0.71484375, depth_loss: 0.04662010073661804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8273/10000 [21:07:25<3:44:46,  7.81s/it]
                                                         
{'loss': 2.1226, 'grad_norm': 2.5612330436706543, 'learning_rate': 3.967442764838752e-06, 'epoch': 0.07}

 83%|████████▎ | 8273/10000 [21:07:25<3:44:46,  7.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.2564839124679565, dino_loss: 0.765625, depth_loss: 0.05782467871904373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9583635926246643, dino_loss: 0.7421875, depth_loss: 0.05803113430738449, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8274/10000 [21:07:34<4:02:03,  8.41s/it]
                                                         
{'loss': 2.8974, 'grad_norm': 4.1899919509887695, 'learning_rate': 3.962974875874067e-06, 'epoch': 0.07}

 83%|████████▎ | 8274/10000 [21:07:34<4:02:03,  8.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7160621881484985, dino_loss: 0.640625, depth_loss: 0.061377882957458496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8804551362991333, dino_loss: 0.6796875, depth_loss: 0.09165376424789429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8275/10000 [21:07:42<3:55:03,  8.18s/it]
                                                         
{'loss': 2.4142, 'grad_norm': 4.504188060760498, 'learning_rate': 3.958509287486823e-06, 'epoch': 0.07}

 83%|████████▎ | 8275/10000 [21:07:42<3:55:03,  8.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0019813776016235, dino_loss: 0.72265625, depth_loss: 0.04752321168780327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.642439603805542, dino_loss: 0.68359375, depth_loss: 0.06000062823295593, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8276/10000 [21:07:50<3:51:46,  8.07s/it]
                                                         
{'loss': 2.442, 'grad_norm': 3.2093141078948975, 'learning_rate': 3.954046000165374e-06, 'epoch': 0.07}

 83%|████████▎ | 8276/10000 [21:07:50<3:51:46,  8.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8293828964233398, dino_loss: 0.734375, depth_loss: 0.05088561773300171, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7754404544830322, dino_loss: 0.703125, depth_loss: 0.023375317454338074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8277/10000 [21:07:58<3:51:52,  8.07s/it]
                                                         
{'loss': 2.3727, 'grad_norm': 4.1852498054504395, 'learning_rate': 3.9495850143978026e-06, 'epoch': 0.07}

 83%|████████▎ | 8277/10000 [21:07:58<3:51:52,  8.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9558172225952148, dino_loss: 0.67578125, depth_loss: 0.06743982434272766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6640625, depth_loss: 0.06139211356639862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8278/10000 [21:08:04<3:35:11,  7.50s/it]
                                                         
{'loss': 1.9647, 'grad_norm': 2.3591957092285156, 'learning_rate': 3.945126330671969e-06, 'epoch': 0.07}

 83%|████████▎ | 8278/10000 [21:08:04<3:35:11,  7.50s/it]the number of masks: 8
seg_loss: 0.6347841024398804, dino_loss: 0.671875, depth_loss: 0.053304195404052734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.514077365398407, dino_loss: 0.5078125, depth_loss: 0.05341861769556999, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8279/10000 [21:08:10<3:19:49,  6.97s/it]
                                                         
{'loss': 2.0443, 'grad_norm': 3.330171823501587, 'learning_rate': 3.940669949475462e-06, 'epoch': 0.07}

 83%|████████▎ | 8279/10000 [21:08:10<3:19:49,  6.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9661206007003784, dino_loss: 0.6796875, depth_loss: 0.07383021712303162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.010915756225586, dino_loss: 0.7421875, depth_loss: 0.06657116860151291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8280/10000 [21:08:18<3:31:36,  7.38s/it]
                                                         
{'loss': 2.4731, 'grad_norm': 3.9215569496154785, 'learning_rate': 3.936215871295634e-06, 'epoch': 0.07}

 83%|████████▎ | 8280/10000 [21:08:18<3:31:36,  7.38s/it]the number of masks: 8
seg_loss: 0.8589019775390625, dino_loss: 0.66015625, depth_loss: 0.052288174629211426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8054342865943909, dino_loss: 0.66015625, depth_loss: 0.09104587137699127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8281/10000 [21:08:23<3:12:36,  6.72s/it]
                                                         
{'loss': 2.0709, 'grad_norm': 6.2084126472473145, 'learning_rate': 3.931764096619564e-06, 'epoch': 0.07}

 83%|████████▎ | 8281/10000 [21:08:23<3:12:36,  6.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8435999155044556, dino_loss: 0.70703125, depth_loss: 0.05672972649335861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8137190341949463, dino_loss: 0.72265625, depth_loss: 0.06728287041187286, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8282/10000 [21:08:31<3:20:15,  6.99s/it]
                                                         
{'loss': 2.5166, 'grad_norm': 6.974081039428711, 'learning_rate': 3.9273146259341e-06, 'epoch': 0.07}

 83%|████████▎ | 8282/10000 [21:08:31<3:20:15,  6.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9308886528015137, dino_loss: 0.6796875, depth_loss: 0.058541569858789444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6259579062461853, dino_loss: 0.65234375, depth_loss: 0.04283171892166138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8283/10000 [21:08:40<3:36:13,  7.56s/it]
                                                         
{'loss': 1.8167, 'grad_norm': 3.5154333114624023, 'learning_rate': 3.922867459725823e-06, 'epoch': 0.07}

 83%|████████▎ | 8283/10000 [21:08:40<3:36:13,  7.56s/it]the number of masks: 8
seg_loss: 0.7718064188957214, dino_loss: 0.7578125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8469815850257874, dino_loss: 0.67578125, depth_loss: 0.05404003709554672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8284/10000 [21:08:48<3:40:29,  7.71s/it]
                                                         
{'loss': 1.8597, 'grad_norm': 3.8967483043670654, 'learning_rate': 3.918422598481078e-06, 'epoch': 0.07}

 83%|████████▎ | 8284/10000 [21:08:48<3:40:29,  7.71s/it]the number of masks: 8
seg_loss: 0.9627958536148071, dino_loss: 0.7734375, depth_loss: 0.05743445083498955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8651829957962036, dino_loss: 0.66796875, depth_loss: 0.06264199316501617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8285/10000 [21:08:57<3:51:22,  8.09s/it]
                                                         
{'loss': 2.6304, 'grad_norm': 3.049426555633545, 'learning_rate': 3.913980042685928e-06, 'epoch': 0.07}

 83%|████████▎ | 8285/10000 [21:08:57<3:51:22,  8.09s/it]the number of masks: 8
seg_loss: 0.8795623779296875, dino_loss: 0.62890625, depth_loss: 0.04491950571537018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7891677618026733, dino_loss: 0.63671875, depth_loss: 0.0528489425778389, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8286/10000 [21:09:03<3:37:34,  7.62s/it]
                                                         
{'loss': 2.2867, 'grad_norm': 11.172661781311035, 'learning_rate': 3.909539792826231e-06, 'epoch': 0.07}

 83%|████████▎ | 8286/10000 [21:09:03<3:37:34,  7.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7583852410316467, dino_loss: 0.79296875, depth_loss: 0.06275297701358795, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9327660799026489, dino_loss: 0.69921875, depth_loss: 0.05452505871653557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8287/10000 [21:09:11<3:34:23,  7.51s/it]
                                                         
{'loss': 2.3838, 'grad_norm': 6.883535385131836, 'learning_rate': 3.905101849387547e-06, 'epoch': 0.07}

 83%|████████▎ | 8287/10000 [21:09:11<3:34:23,  7.51s/it]the number of masks: 8
seg_loss: 0.8494703769683838, dino_loss: 0.7109375, depth_loss: 0.05741196870803833, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.713047444820404, dino_loss: 0.6640625, depth_loss: 0.0934176966547966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8288/10000 [21:09:18<3:33:33,  7.48s/it]
                                                         
{'loss': 2.4083, 'grad_norm': 3.9054219722747803, 'learning_rate': 3.900666212855214e-06, 'epoch': 0.07}

 83%|████████▎ | 8288/10000 [21:09:18<3:33:33,  7.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.149756669998169, dino_loss: 0.6953125, depth_loss: 0.08108999580144882, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8886615633964539, dino_loss: 0.6640625, depth_loss: 0.059108294546604156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8289/10000 [21:09:27<3:48:54,  8.03s/it]
                                                         
{'loss': 2.2986, 'grad_norm': 3.785250425338745, 'learning_rate': 3.896232883714299e-06, 'epoch': 0.07}

 83%|████████▎ | 8289/10000 [21:09:27<3:48:54,  8.03s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9427952766418457, dino_loss: 0.70703125, depth_loss: 0.04277193918824196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.850120484828949, dino_loss: 0.65234375, depth_loss: 0.061226360499858856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8290/10000 [21:09:35<3:47:34,  7.99s/it]
                                                         
{'loss': 2.3908, 'grad_norm': 3.870173454284668, 'learning_rate': 3.891801862449629e-06, 'epoch': 0.07}

 83%|████████▎ | 8290/10000 [21:09:35<3:47:34,  7.99s/it]the number of masks: 8
seg_loss: 0.9069119095802307, dino_loss: 0.6796875, depth_loss: 0.05572069436311722, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.918226957321167, dino_loss: 0.671875, depth_loss: 0.04794018343091011, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8291/10000 [21:09:41<3:30:56,  7.41s/it]
                                                         
{'loss': 2.0365, 'grad_norm': 3.909335136413574, 'learning_rate': 3.887373149545761e-06, 'epoch': 0.07}

 83%|████████▎ | 8291/10000 [21:09:41<3:30:56,  7.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9942800998687744, dino_loss: 0.6953125, depth_loss: 0.0644240602850914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.771463930606842, dino_loss: 0.6328125, depth_loss: 0.043540481477975845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8292/10000 [21:09:47<3:19:15,  7.00s/it]
                                                         
{'loss': 2.3179, 'grad_norm': 5.69878625869751, 'learning_rate': 3.882946745487035e-06, 'epoch': 0.07}

 83%|████████▎ | 8292/10000 [21:09:47<3:19:15,  7.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7483410835266113, dino_loss: 0.63671875, depth_loss: 0.061054568737745285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.640625, depth_loss: 0.04588855803012848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8293/10000 [21:09:53<3:12:06,  6.75s/it]
                                                         
{'loss': 1.9627, 'grad_norm': 4.928200721740723, 'learning_rate': 3.878522650757499e-06, 'epoch': 0.07}

 83%|████████▎ | 8293/10000 [21:09:53<3:12:06,  6.75s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9480684995651245, dino_loss: 0.0, depth_loss: 0.08377566188573837, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.5403835773468018, dino_loss: 0.66015625, depth_loss: 0.054253704845905304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8294/10000 [21:10:00<3:10:57,  6.72s/it]
                                                         
{'loss': 2.2828, 'grad_norm': 5.783386707305908, 'learning_rate': 3.874100865840974e-06, 'epoch': 0.07}

 83%|████████▎ | 8294/10000 [21:10:00<3:10:57,  6.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6746786236763, dino_loss: 0.62890625, depth_loss: 0.05215862765908241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9967566132545471, dino_loss: 0.64453125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8295/10000 [21:10:06<3:06:41,  6.57s/it]
                                                         
{'loss': 1.9948, 'grad_norm': 3.6841838359832764, 'learning_rate': 3.869681391221011e-06, 'epoch': 0.07}

 83%|████████▎ | 8295/10000 [21:10:06<3:06:41,  6.57s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9064412117004395, dino_loss: 0.6796875, depth_loss: 0.07092194259166718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8558846712112427, dino_loss: 0.66796875, depth_loss: 0.059496477246284485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8296/10000 [21:10:16<3:34:16,  7.54s/it]
                                                         
{'loss': 2.2864, 'grad_norm': 6.717446327209473, 'learning_rate': 3.865264227380924e-06, 'epoch': 0.07}

 83%|████████▎ | 8296/10000 [21:10:16<3:34:16,  7.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8730194568634033, dino_loss: 0.703125, depth_loss: 0.0594254769384861, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6500341296195984, dino_loss: 0.68359375, depth_loss: 0.06014881655573845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8297/10000 [21:10:25<3:48:18,  8.04s/it]
                                                         
{'loss': 1.9524, 'grad_norm': 2.072099208831787, 'learning_rate': 3.860849374803762e-06, 'epoch': 0.07}

 83%|████████▎ | 8297/10000 [21:10:25<3:48:18,  8.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.997586727142334, dino_loss: 0.0, depth_loss: 0.05616544559597969, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8691627383232117, dino_loss: 0.68359375, depth_loss: 0.05724390596151352, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8298/10000 [21:10:35<4:00:15,  8.47s/it]
                                                         
{'loss': 1.8941, 'grad_norm': 4.765140533447266, 'learning_rate': 3.856436833972341e-06, 'epoch': 0.07}

 83%|████████▎ | 8298/10000 [21:10:35<4:00:15,  8.47s/it]the number of masks: 8
seg_loss: 0.6936575770378113, dino_loss: 0.68359375, depth_loss: 0.0468868687748909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8443046808242798, dino_loss: 0.72265625, depth_loss: 0.07465863227844238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8299/10000 [21:10:41<3:36:37,  7.64s/it]
                                                         
{'loss': 2.3787, 'grad_norm': 6.724810600280762, 'learning_rate': 3.852026605369188e-06, 'epoch': 0.07}

 83%|████████▎ | 8299/10000 [21:10:41<3:36:37,  7.64s/it]seg_loss: 0.0, dino_loss: 0.73828125, depth_loss: 0.09785722196102142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7599779963493347, dino_loss: 0.68359375, depth_loss: 0.0484115406870842, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8300/10000 [21:10:47<3:23:05,  7.17s/it]
                                                         
{'loss': 1.8531, 'grad_norm': 2.4108633995056152, 'learning_rate': 3.847618689476612e-06, 'epoch': 0.07}

 83%|████████▎ | 8300/10000 [21:10:47<3:23:05,  7.17s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0198289155960083, dino_loss: 0.7109375, depth_loss: 0.060001980513334274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8094082474708557, dino_loss: 0.75, depth_loss: 0.05524636059999466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8301/10000 [21:10:56<3:42:52,  7.87s/it]
                                                         
{'loss': 2.2593, 'grad_norm': 5.620983123779297, 'learning_rate': 3.843213086776662e-06, 'epoch': 0.07}

 83%|████████▎ | 8301/10000 [21:10:56<3:42:52,  7.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.895016074180603, dino_loss: 0.6875, depth_loss: 0.06284686923027039, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9066201448440552, dino_loss: 0.0, depth_loss: 0.0625879168510437, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8302/10000 [21:11:05<3:49:58,  8.13s/it]
                                                         
{'loss': 2.2617, 'grad_norm': 4.553287029266357, 'learning_rate': 3.838809797751111e-06, 'epoch': 0.07}

 83%|████████▎ | 8302/10000 [21:11:05<3:49:58,  8.13s/it]the number of masks: 8
seg_loss: 0.9957029223442078, dino_loss: 0.6875, depth_loss: 0.056749798357486725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7395961880683899, dino_loss: 0.5859375, depth_loss: 0.06330261379480362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8303/10000 [21:11:10<3:28:44,  7.38s/it]
                                                         
{'loss': 2.4356, 'grad_norm': 6.460038185119629, 'learning_rate': 3.834408822881511e-06, 'epoch': 0.07}

 83%|████████▎ | 8303/10000 [21:11:10<3:28:44,  7.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0346958637237549, dino_loss: 0.671875, depth_loss: 0.0794191062450409, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9891699552536011, dino_loss: 0.0, depth_loss: 0.07083399593830109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8304/10000 [21:11:18<3:29:21,  7.41s/it]
                                                         
{'loss': 2.213, 'grad_norm': 6.13441801071167, 'learning_rate': 3.8300101626491305e-06, 'epoch': 0.07}

 83%|████████▎ | 8304/10000 [21:11:18<3:29:21,  7.41s/it]the number of masks: 8
seg_loss: 1.0787254571914673, dino_loss: 0.69140625, depth_loss: 0.09245359152555466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7820202708244324, dino_loss: 0.7265625, depth_loss: 0.06973843276500702, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8305/10000 [21:11:24<3:17:15,  6.98s/it]
                                                         
{'loss': 1.9099, 'grad_norm': 8.87182331085205, 'learning_rate': 3.825613817535021e-06, 'epoch': 0.07}

 83%|████████▎ | 8305/10000 [21:11:24<3:17:15,  6.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9028878808021545, dino_loss: 0.671875, depth_loss: 0.07170335203409195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9138754606246948, dino_loss: 0.69921875, depth_loss: 0.06188437342643738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8306/10000 [21:11:33<3:35:25,  7.63s/it]
                                                         
{'loss': 2.3459, 'grad_norm': 6.141998767852783, 'learning_rate': 3.821219788019942e-06, 'epoch': 0.07}

 83%|████████▎ | 8306/10000 [21:11:33<3:35:25,  7.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6746911406517029, dino_loss: 0.69921875, depth_loss: 0.059481263160705566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.038474202156067, dino_loss: 0.7109375, depth_loss: 0.06396524608135223, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8307/10000 [21:11:42<3:47:05,  8.05s/it]
                                                         
{'loss': 2.5898, 'grad_norm': 4.987628936767578, 'learning_rate': 3.816828074584433e-06, 'epoch': 0.07}

 83%|████████▎ | 8307/10000 [21:11:42<3:47:05,  8.05s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9433059096336365, dino_loss: 0.71484375, depth_loss: 0.06649228185415268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6460195779800415, dino_loss: 0.62890625, depth_loss: 0.04368695616722107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8308/10000 [21:11:52<4:01:00,  8.55s/it]
                                                         
{'loss': 2.3736, 'grad_norm': 4.628523826599121, 'learning_rate': 3.812438677708749e-06, 'epoch': 0.07}

 83%|████████▎ | 8308/10000 [21:11:52<4:01:00,  8.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7720643877983093, dino_loss: 0.69140625, depth_loss: 0.08594305068254471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7460356950759888, dino_loss: 0.65234375, depth_loss: 0.04302573576569557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8309/10000 [21:12:03<4:20:48,  9.25s/it]
                                                         
{'loss': 1.7575, 'grad_norm': 5.864605903625488, 'learning_rate': 3.8080515978729247e-06, 'epoch': 0.07}

 83%|████████▎ | 8309/10000 [21:12:03<4:20:48,  9.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6532616019248962, dino_loss: 0.6484375, depth_loss: 0.05979204922914505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7668707370758057, dino_loss: 0.69140625, depth_loss: 0.07851815223693848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8310/10000 [21:12:11<4:16:32,  9.11s/it]
                                                         
{'loss': 2.0403, 'grad_norm': 6.9430928230285645, 'learning_rate': 3.8036668355567045e-06, 'epoch': 0.07}

 83%|████████▎ | 8310/10000 [21:12:11<4:16:32,  9.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.720329761505127, dino_loss: 0.60546875, depth_loss: 0.05221199989318848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6966410279273987, dino_loss: 0.64453125, depth_loss: 0.055654868483543396, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8311/10000 [21:12:20<4:08:57,  8.84s/it]
                                                         
{'loss': 1.7366, 'grad_norm': 8.500173568725586, 'learning_rate': 3.7992843912396214e-06, 'epoch': 0.07}

 83%|████████▎ | 8311/10000 [21:12:20<4:08:57,  8.84s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8435978889465332, dino_loss: 0.66796875, depth_loss: 0.053262025117874146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9032591581344604, dino_loss: 0.734375, depth_loss: 0.06150868907570839, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8312/10000 [21:12:29<4:08:47,  8.84s/it]
                                                         
{'loss': 2.074, 'grad_norm': 9.08156967163086, 'learning_rate': 3.7949042654009142e-06, 'epoch': 0.07}

 83%|████████▎ | 8312/10000 [21:12:29<4:08:47,  8.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8403339982032776, dino_loss: 0.6015625, depth_loss: 0.04469982162117958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7862029671669006, dino_loss: 0.7734375, depth_loss: 0.04951242730021477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8313/10000 [21:12:39<4:20:05,  9.25s/it]
                                                         
{'loss': 2.4143, 'grad_norm': 4.348190784454346, 'learning_rate': 3.7905264585196056e-06, 'epoch': 0.07}

 83%|████████▎ | 8313/10000 [21:12:39<4:20:05,  9.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.737309455871582, dino_loss: 0.65625, depth_loss: 0.050911933183670044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8679555654525757, dino_loss: 0.74609375, depth_loss: 0.04650801420211792, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8314/10000 [21:12:47<4:09:38,  8.88s/it]
                                                         
{'loss': 2.0164, 'grad_norm': 5.042919158935547, 'learning_rate': 3.786150971074426e-06, 'epoch': 0.07}

 83%|████████▎ | 8314/10000 [21:12:47<4:09:38,  8.88s/it]seg_loss: 0.0, dino_loss: 0.70703125, depth_loss: 0.05771408975124359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.831969141960144, dino_loss: 0.71484375, depth_loss: 0.049047164618968964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8315/10000 [21:12:52<3:42:38,  7.93s/it]
                                                         
{'loss': 2.0375, 'grad_norm': 1.7174932956695557, 'learning_rate': 3.78177780354389e-06, 'epoch': 0.07}

 83%|████████▎ | 8315/10000 [21:12:52<3:42:38,  7.93s/it]the number of masks: 8
seg_loss: 1.010337233543396, dino_loss: 0.67578125, depth_loss: 0.050079114735126495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0143365859985352, dino_loss: 0.73828125, depth_loss: 0.0633385181427002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8316/10000 [21:12:59<3:29:39,  7.47s/it]
                                                         
{'loss': 2.6092, 'grad_norm': 4.657748699188232, 'learning_rate': 3.7774069564062182e-06, 'epoch': 0.07}

 83%|████████▎ | 8316/10000 [21:12:59<3:29:39,  7.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7344721555709839, dino_loss: 0.6640625, depth_loss: 0.07186724245548248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9609403610229492, dino_loss: 0.69140625, depth_loss: 0.047598473727703094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8317/10000 [21:13:08<3:46:21,  8.07s/it]
                                                         
{'loss': 2.1244, 'grad_norm': 4.222485065460205, 'learning_rate': 3.773038430139428e-06, 'epoch': 0.07}

 83%|████████▎ | 8317/10000 [21:13:08<3:46:21,  8.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8807684183120728, dino_loss: 0.671875, depth_loss: 0.07835941016674042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8958786725997925, dino_loss: 0.72265625, depth_loss: 0.057048749178647995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8318/10000 [21:13:16<3:45:48,  8.06s/it]
                                                         
{'loss': 2.0072, 'grad_norm': 5.11904764175415, 'learning_rate': 3.7686722252212344e-06, 'epoch': 0.07}

 83%|████████▎ | 8318/10000 [21:13:16<3:45:48,  8.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7825037837028503, dino_loss: 0.6640625, depth_loss: 0.06881678104400635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5259201526641846, dino_loss: 0.734375, depth_loss: 0.051151446998119354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8319/10000 [21:13:27<4:11:15,  8.97s/it]
                                                         
{'loss': 2.3874, 'grad_norm': 7.145380973815918, 'learning_rate': 3.7643083421291303e-06, 'epoch': 0.07}

 83%|████████▎ | 8319/10000 [21:13:27<4:11:15,  8.97s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7636446356773376, dino_loss: 0.65234375, depth_loss: 0.05482621490955353, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6907424330711365, dino_loss: 0.6953125, depth_loss: 0.09975637495517731, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8320/10000 [21:13:34<3:53:23,  8.34s/it]
                                                         
{'loss': 2.2, 'grad_norm': 5.600764751434326, 'learning_rate': 3.7599467813403315e-06, 'epoch': 0.07}

 83%|████████▎ | 8320/10000 [21:13:34<3:53:23,  8.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7578455209732056, dino_loss: 0.0, depth_loss: 0.04495447874069214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7469061613082886, dino_loss: 0.6875, depth_loss: 0.06601355224847794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8321/10000 [21:13:44<4:02:54,  8.68s/it]
                                                         
{'loss': 1.5815, 'grad_norm': 3.1891911029815674, 'learning_rate': 3.7555875433318204e-06, 'epoch': 0.07}

 83%|████████▎ | 8321/10000 [21:13:44<4:02:54,  8.68s/it]the number of masks: 8
seg_loss: 1.1154826879501343, dino_loss: 0.0, depth_loss: 0.06766241043806076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.70257568359375, dino_loss: 0.70703125, depth_loss: 0.07338720560073853, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8322/10000 [21:13:49<3:36:03,  7.73s/it]
                                                         
{'loss': 2.3046, 'grad_norm': 6.754827976226807, 'learning_rate': 3.7512306285803212e-06, 'epoch': 0.07}

 83%|████████▎ | 8322/10000 [21:13:49<3:36:03,  7.73s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8134295344352722, dino_loss: 0.7109375, depth_loss: 0.07062491029500961, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6253098845481873, dino_loss: 0.67578125, depth_loss: 0.04759801924228668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8323/10000 [21:13:57<3:39:02,  7.84s/it]
                                                         
{'loss': 2.4435, 'grad_norm': 5.224857807159424, 'learning_rate': 3.7468760375622887e-06, 'epoch': 0.07}

 83%|████████▎ | 8323/10000 [21:13:57<3:39:02,  7.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9409391283988953, dino_loss: 0.6875, depth_loss: 0.04963479936122894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8231106996536255, dino_loss: 0.6796875, depth_loss: 0.050062332302331924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8324/10000 [21:14:05<3:36:32,  7.75s/it]
                                                         
{'loss': 2.5037, 'grad_norm': 4.182509422302246, 'learning_rate': 3.742523770753939e-06, 'epoch': 0.07}

 83%|████████▎ | 8324/10000 [21:14:05<3:36:32,  7.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6428285837173462, dino_loss: 0.64453125, depth_loss: 0.05486481264233589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.67578125, depth_loss: 0.031798627227544785, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8325/10000 [21:14:11<3:24:26,  7.32s/it]
                                                         
{'loss': 1.9518, 'grad_norm': 3.6802027225494385, 'learning_rate': 3.738173828631228e-06, 'epoch': 0.07}

 83%|████████▎ | 8325/10000 [21:14:11<3:24:26,  7.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6342339515686035, dino_loss: 0.6640625, depth_loss: 0.053277261555194855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66796875, depth_loss: 0.07881447672843933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8326/10000 [21:14:18<3:16:42,  7.05s/it]
                                                         
{'loss': 1.4128, 'grad_norm': 2.999738931655884, 'learning_rate': 3.7338262116698663e-06, 'epoch': 0.07}

 83%|████████▎ | 8326/10000 [21:14:18<3:16:42,  7.05s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7170225977897644, dino_loss: 0.63671875, depth_loss: 0.04917566105723381, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8793963193893433, dino_loss: 0.69140625, depth_loss: 0.08127693086862564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8327/10000 [21:14:24<3:12:55,  6.92s/it]
                                                         
{'loss': 2.194, 'grad_norm': 4.746003150939941, 'learning_rate': 3.7294809203452907e-06, 'epoch': 0.07}

 83%|████████▎ | 8327/10000 [21:14:24<3:12:55,  6.92s/it]seg_loss: 0.0, dino_loss: 0.62890625, depth_loss: 0.06393592804670334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.204870343208313, dino_loss: 0.625, depth_loss: 0.04609084874391556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8328/10000 [21:14:30<2:59:54,  6.46s/it]
                                                         
{'loss': 2.1958, 'grad_norm': 3.9308784008026123, 'learning_rate': 3.725137955132707e-06, 'epoch': 0.07}

 83%|████████▎ | 8328/10000 [21:14:30<2:59:54,  6.46s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9543758630752563, dino_loss: 0.72265625, depth_loss: 0.05475626513361931, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8192005157470703, dino_loss: 0.66796875, depth_loss: 0.06373538076877594, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8329/10000 [21:14:38<3:14:30,  6.98s/it]
                                                         
{'loss': 2.6288, 'grad_norm': 4.771137714385986, 'learning_rate': 3.7207973165070407e-06, 'epoch': 0.07}

 83%|████████▎ | 8329/10000 [21:14:38<3:14:30,  6.98s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1253323554992676, dino_loss: 0.7421875, depth_loss: 0.07142741233110428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9078285098075867, dino_loss: 0.76953125, depth_loss: 0.06660785526037216, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8330/10000 [21:14:46<3:19:44,  7.18s/it]
                                                         
{'loss': 2.4117, 'grad_norm': 17.85118293762207, 'learning_rate': 3.7164590049429987e-06, 'epoch': 0.07}

 83%|████████▎ | 8330/10000 [21:14:46<3:19:44,  7.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6309176683425903, dino_loss: 0.0, depth_loss: 0.04176604002714157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5827622413635254, dino_loss: 0.53515625, depth_loss: 0.036128200590610504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8331/10000 [21:14:54<3:30:50,  7.58s/it]
                                                         
{'loss': 1.2621, 'grad_norm': 3.649488687515259, 'learning_rate': 3.7121230209149926e-06, 'epoch': 0.07}

 83%|████████▎ | 8331/10000 [21:14:54<3:30:50,  7.58s/it]the number of masks: 8
seg_loss: 0.9713862538337708, dino_loss: 0.65625, depth_loss: 0.05620213598012924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.8720710277557373, dino_loss: 0.67578125, depth_loss: 0.0741078332066536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8332/10000 [21:15:02<3:30:46,  7.58s/it]
                                                         
{'loss': 2.2673, 'grad_norm': 12.519503593444824, 'learning_rate': 3.7077893648972157e-06, 'epoch': 0.07}

 83%|████████▎ | 8332/10000 [21:15:02<3:30:46,  7.58s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9792604446411133, dino_loss: 0.671875, depth_loss: 0.06813836842775345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7429938912391663, dino_loss: 0.64453125, depth_loss: 0.049003757536411285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8333/10000 [21:15:09<3:33:02,  7.67s/it]
                                                         
{'loss': 2.5984, 'grad_norm': 2.7089133262634277, 'learning_rate': 3.703458037363575e-06, 'epoch': 0.07}

 83%|████████▎ | 8333/10000 [21:15:10<3:33:02,  7.67s/it]the number of masks: 8
seg_loss: 0.8556655049324036, dino_loss: 0.703125, depth_loss: 0.044769834727048874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7701666355133057, dino_loss: 0.68359375, depth_loss: 0.04239089787006378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8334/10000 [21:15:16<3:26:17,  7.43s/it]
                                                         
{'loss': 2.6333, 'grad_norm': 10.257676124572754, 'learning_rate': 3.699129038787749e-06, 'epoch': 0.07}

 83%|████████▎ | 8334/10000 [21:15:16<3:26:17,  7.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8912990093231201, dino_loss: 0.75, depth_loss: 0.06127365678548813, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7425564527511597, dino_loss: 0.640625, depth_loss: 0.05542685091495514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8335/10000 [21:15:23<3:21:32,  7.26s/it]
                                                         
{'loss': 2.3753, 'grad_norm': 11.213391304016113, 'learning_rate': 3.6948023696431354e-06, 'epoch': 0.07}

 83%|████████▎ | 8335/10000 [21:15:23<3:21:32,  7.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7644665241241455, dino_loss: 0.6875, depth_loss: 0.06738409399986267, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7737864255905151, dino_loss: 0.60546875, depth_loss: 0.0689905658364296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8336/10000 [21:15:32<3:37:09,  7.83s/it]
                                                         
{'loss': 2.5043, 'grad_norm': 3.403966188430786, 'learning_rate': 3.6904780304029135e-06, 'epoch': 0.07}

 83%|████████▎ | 8336/10000 [21:15:32<3:37:09,  7.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7303110361099243, dino_loss: 0.58984375, depth_loss: 0.059340231120586395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.40621307492256165, dino_loss: 0.63671875, depth_loss: 0.05505934730172157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8337/10000 [21:15:41<3:44:01,  8.08s/it]
                                                         
{'loss': 2.0252, 'grad_norm': 3.179903507232666, 'learning_rate': 3.6861560215399716e-06, 'epoch': 0.07}

 83%|████████▎ | 8337/10000 [21:15:41<3:44:01,  8.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9842345118522644, dino_loss: 0.640625, depth_loss: 0.04814378544688225, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7865912318229675, dino_loss: 0.67578125, depth_loss: 0.062417689710855484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8338/10000 [21:15:50<3:52:51,  8.41s/it]
                                                         
{'loss': 1.7737, 'grad_norm': 21.102710723876953, 'learning_rate': 3.681836343526965e-06, 'epoch': 0.07}

 83%|████████▎ | 8338/10000 [21:15:50<3:52:51,  8.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.895370602607727, dino_loss: 0.62890625, depth_loss: 0.0628485456109047, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.7421875, depth_loss: 0.10633353888988495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8339/10000 [21:15:57<3:35:36,  7.79s/it]
                                                         
{'loss': 2.0867, 'grad_norm': 2.333801507949829, 'learning_rate': 3.6775189968362822e-06, 'epoch': 0.08}

 83%|████████▎ | 8339/10000 [21:15:57<3:35:36,  7.79s/it]seg_loss: 0.0, dino_loss: 0.66796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.898995578289032, dino_loss: 0.70703125, depth_loss: 0.06603068858385086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8340/10000 [21:16:03<3:20:49,  7.26s/it]
                                                         
{'loss': 1.5391, 'grad_norm': 5.0078253746032715, 'learning_rate': 3.6732039819400683e-06, 'epoch': 0.08}

 83%|████████▎ | 8340/10000 [21:16:03<3:20:49,  7.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7866673469543457, dino_loss: 0.66796875, depth_loss: 0.030033882707357407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.05090900510549545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8341/10000 [21:16:10<3:17:54,  7.16s/it]
                                                         
{'loss': 1.2974, 'grad_norm': 2.405169725418091, 'learning_rate': 3.6688912993101954e-06, 'epoch': 0.08}

 83%|████████▎ | 8341/10000 [21:16:10<3:17:54,  7.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0305315256118774, dino_loss: 0.64453125, depth_loss: 0.06908251345157623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.021528959274292, dino_loss: 0.65625, depth_loss: 0.1109212189912796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8342/10000 [21:16:16<3:12:41,  6.97s/it]
                                                         
{'loss': 2.6417, 'grad_norm': 3.916599988937378, 'learning_rate': 3.6645809494183003e-06, 'epoch': 0.08}

 83%|████████▎ | 8342/10000 [21:16:16<3:12:41,  6.97s/it]the number of masks: 8
seg_loss: 1.140001893043518, dino_loss: 0.71875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0011587142944336, dino_loss: 0.6484375, depth_loss: 0.07001328468322754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8343/10000 [21:16:22<3:05:59,  6.73s/it]
                                                         
{'loss': 2.6556, 'grad_norm': 8.820928573608398, 'learning_rate': 3.660272932735756e-06, 'epoch': 0.08}

 83%|████████▎ | 8343/10000 [21:16:22<3:05:59,  6.73s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9192471504211426, dino_loss: 0.66015625, depth_loss: 0.0729685127735138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8090487122535706, dino_loss: 0.6640625, depth_loss: 0.07499593496322632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8344/10000 [21:16:28<3:00:01,  6.52s/it]
                                                         
{'loss': 2.0719, 'grad_norm': 2.395155668258667, 'learning_rate': 3.6559672497336854e-06, 'epoch': 0.08}

 83%|████████▎ | 8344/10000 [21:16:28<3:00:01,  6.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8730273246765137, dino_loss: 0.70703125, depth_loss: 0.06735062599182129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9697234630584717, dino_loss: 0.6796875, depth_loss: 0.060544729232788086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8345/10000 [21:16:37<3:19:28,  7.23s/it]
                                                         
{'loss': 2.6842, 'grad_norm': 3.1503281593322754, 'learning_rate': 3.65166390088294e-06, 'epoch': 0.08}

 83%|████████▎ | 8345/10000 [21:16:37<3:19:28,  7.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6616754531860352, dino_loss: 0.625, depth_loss: 0.0735238790512085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1053756475448608, dino_loss: 0.72265625, depth_loss: 0.08472733944654465, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8346/10000 [21:16:47<3:38:03,  7.91s/it]
                                                         
{'loss': 2.5547, 'grad_norm': 7.258372783660889, 'learning_rate': 3.647362886654135e-06, 'epoch': 0.08}

 83%|████████▎ | 8346/10000 [21:16:47<3:38:03,  7.91s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.579928994178772, dino_loss: 0.66796875, depth_loss: 0.04445873945951462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0128017663955688, dino_loss: 0.66015625, depth_loss: 0.05128566920757294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8347/10000 [21:16:56<3:47:04,  8.24s/it]
                                                         
{'loss': 1.9796, 'grad_norm': 6.281018257141113, 'learning_rate': 3.643064207517624e-06, 'epoch': 0.08}

 83%|████████▎ | 8347/10000 [21:16:56<3:47:04,  8.24s/it]the number of masks: 8
seg_loss: 0.9700359106063843, dino_loss: 0.58203125, depth_loss: 0.02910776622593403, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8053655028343201, dino_loss: 0.60546875, depth_loss: 0.0513940192759037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8348/10000 [21:17:03<3:38:51,  7.95s/it]
                                                         
{'loss': 1.9064, 'grad_norm': 3.226722002029419, 'learning_rate': 3.6387678639434983e-06, 'epoch': 0.08}

 83%|████████▎ | 8348/10000 [21:17:03<3:38:51,  7.95s/it]the number of masks: 8
the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.7180784344673157, dino_loss: 0.58984375, depth_loss: 0.03527005761861801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5766842365264893, dino_loss: 0.66796875, depth_loss: 0.07043112814426422, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 83%|████████▎ | 8349/10000 [21:17:14<4:05:31,  8.92s/it]
                                                         
{'loss': 2.4485, 'grad_norm': 2.036607027053833, 'learning_rate': 3.6344738564016017e-06, 'epoch': 0.08}

 83%|████████▎ | 8349/10000 [21:17:14<4:05:31,  8.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9687228202819824, dino_loss: 0.73046875, depth_loss: 0.059921666979789734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7557603120803833, dino_loss: 0.68359375, depth_loss: 0.07417406141757965, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8350/10000 [21:17:21<3:52:07,  8.44s/it]
                                                         
{'loss': 2.7682, 'grad_norm': 4.010378360748291, 'learning_rate': 3.630182185361522e-06, 'epoch': 0.08}

 84%|████████▎ | 8350/10000 [21:17:21<3:52:07,  8.44s/it]the number of masks: 8
seg_loss: 1.259659767150879, dino_loss: 0.69140625, depth_loss: 0.07594171166419983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6744316220283508, dino_loss: 0.640625, depth_loss: 0.05782262980937958, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8351/10000 [21:17:30<3:51:21,  8.42s/it]
                                                         
{'loss': 2.5703, 'grad_norm': 7.782604694366455, 'learning_rate': 3.6258928512925977e-06, 'epoch': 0.08}

 84%|████████▎ | 8351/10000 [21:17:30<3:51:21,  8.42s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6299779415130615, dino_loss: 0.65625, depth_loss: 0.053704746067523956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9392406344413757, dino_loss: 0.6953125, depth_loss: 0.06046526879072189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8352/10000 [21:17:37<3:40:50,  8.04s/it]
                                                         
{'loss': 2.2328, 'grad_norm': 5.317257881164551, 'learning_rate': 3.621605854663887e-06, 'epoch': 0.08}

 84%|████████▎ | 8352/10000 [21:17:37<3:40:50,  8.04s/it]the number of masks: 8
seg_loss: 0.785638689994812, dino_loss: 0.55078125, depth_loss: 0.04231493920087814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8031275272369385, dino_loss: 0.7109375, depth_loss: 0.06704577058553696, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8353/10000 [21:17:42<3:15:08,  7.11s/it]
                                                         
{'loss': 1.848, 'grad_norm': 7.748039722442627, 'learning_rate': 3.617321195944223e-06, 'epoch': 0.08}

 84%|████████▎ | 8353/10000 [21:17:42<3:15:08,  7.11s/it]the number of masks: 8
seg_loss: 0.629291296005249, dino_loss: 0.69140625, depth_loss: 0.06685157865285873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.2311010360717773, dino_loss: 0.70703125, depth_loss: 0.052433013916015625, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8354/10000 [21:17:49<3:11:55,  7.00s/it]
                                                         
{'loss': 2.6523, 'grad_norm': 11.016683578491211, 'learning_rate': 3.613038875602162e-06, 'epoch': 0.08}

 84%|████████▎ | 8354/10000 [21:17:49<3:11:55,  7.00s/it]the number of masks: 3
the number of masks: 8
seg_loss: 1.0093404054641724, dino_loss: 0.7578125, depth_loss: 0.050457295030355453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8996905088424683, dino_loss: 0.66015625, depth_loss: 0.08523231744766235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8355/10000 [21:17:57<3:19:31,  7.28s/it]
                                                         
{'loss': 2.3915, 'grad_norm': 5.519538402557373, 'learning_rate': 3.6087588941060124e-06, 'epoch': 0.08}

 84%|████████▎ | 8355/10000 [21:17:57<3:19:31,  7.28s/it]the number of masks: 8
seg_loss: 1.001493215560913, dino_loss: 0.69921875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.806968092918396, dino_loss: 0.62109375, depth_loss: 0.029910387471318245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8356/10000 [21:18:03<3:14:09,  7.09s/it]
                                                         
{'loss': 1.983, 'grad_norm': 3.019648790359497, 'learning_rate': 3.6044812519238303e-06, 'epoch': 0.08}

 84%|████████▎ | 8356/10000 [21:18:03<3:14:09,  7.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8970049023628235, dino_loss: 0.6796875, depth_loss: 0.048728879541158676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7099413871765137, dino_loss: 0.609375, depth_loss: 0.047252338379621506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8357/10000 [21:18:14<3:43:21,  8.16s/it]
                                                         
{'loss': 2.4927, 'grad_norm': 2.9304587841033936, 'learning_rate': 3.6002059495234165e-06, 'epoch': 0.08}

 84%|████████▎ | 8357/10000 [21:18:14<3:43:21,  8.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9324781894683838, dino_loss: 0.75, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8941839933395386, dino_loss: 0.74609375, depth_loss: 0.05993717163801193, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8358/10000 [21:18:22<3:40:29,  8.06s/it]
                                                         
{'loss': 1.8136, 'grad_norm': 3.3441972732543945, 'learning_rate': 3.5959329873723e-06, 'epoch': 0.08}

 84%|████████▎ | 8358/10000 [21:18:22<3:40:29,  8.06s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6744275093078613, dino_loss: 0.5625, depth_loss: 0.04390275105834007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.009105920791626, dino_loss: 0.68359375, depth_loss: 0.05371193587779999, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8359/10000 [21:18:31<3:47:51,  8.33s/it]
                                                         
{'loss': 2.2403, 'grad_norm': 2.5167572498321533, 'learning_rate': 3.5916623659377756e-06, 'epoch': 0.08}

 84%|████████▎ | 8359/10000 [21:18:31<3:47:51,  8.33s/it]the number of masks: 8
seg_loss: 0.9229257106781006, dino_loss: 0.55859375, depth_loss: 0.05056503415107727, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7294039726257324, dino_loss: 0.69140625, depth_loss: 0.05923778936266899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8360/10000 [21:18:38<3:37:59,  7.98s/it]
                                                         
{'loss': 1.8615, 'grad_norm': 3.343526601791382, 'learning_rate': 3.5873940856868656e-06, 'epoch': 0.08}

 84%|████████▎ | 8360/10000 [21:18:38<3:37:59,  7.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.850810706615448, dino_loss: 0.62890625, depth_loss: 0.04272149130702019, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7783147096633911, dino_loss: 0.66015625, depth_loss: 0.07533484697341919, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8361/10000 [21:18:46<3:35:53,  7.90s/it]
                                                         
{'loss': 2.2536, 'grad_norm': 4.792970180511475, 'learning_rate': 3.5831281470863425e-06, 'epoch': 0.08}

 84%|████████▎ | 8361/10000 [21:18:46<3:35:53,  7.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7888412475585938, dino_loss: 0.69140625, depth_loss: 0.06130479648709297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9331580996513367, dino_loss: 0.7265625, depth_loss: 0.04743656888604164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8362/10000 [21:18:56<3:58:15,  8.73s/it]
                                                         
{'loss': 2.5325, 'grad_norm': 2.8937432765960693, 'learning_rate': 3.578864550602726e-06, 'epoch': 0.08}

 84%|████████▎ | 8362/10000 [21:18:56<3:58:15,  8.73s/it]the number of masks: 8
seg_loss: 0.49678537249565125, dino_loss: 0.0, depth_loss: 0.04914500564336777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6537408232688904, dino_loss: 0.5703125, depth_loss: 0.05217710882425308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8363/10000 [21:19:04<3:54:27,  8.59s/it]
                                                         
{'loss': 1.5151, 'grad_norm': 5.170650482177734, 'learning_rate': 3.5746032967022807e-06, 'epoch': 0.08}

 84%|████████▎ | 8363/10000 [21:19:04<3:54:27,  8.59s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0920441150665283, dino_loss: 0.6953125, depth_loss: 0.06832670420408249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0620397329330444, dino_loss: 0.0, depth_loss: 0.02951355092227459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8364/10000 [21:19:12<3:44:36,  8.24s/it]
                                                         
{'loss': 2.5217, 'grad_norm': 2.759849786758423, 'learning_rate': 3.5703443858510016e-06, 'epoch': 0.08}

 84%|████████▎ | 8364/10000 [21:19:12<3:44:36,  8.24s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0523254871368408, dino_loss: 0.62890625, depth_loss: 0.04801151901483536, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0116275548934937, dino_loss: 0.6484375, depth_loss: 0.05441457778215408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8365/10000 [21:19:21<3:52:38,  8.54s/it]
                                                         
{'loss': 2.6598, 'grad_norm': 8.238161087036133, 'learning_rate': 3.5660878185146463e-06, 'epoch': 0.08}

 84%|████████▎ | 8365/10000 [21:19:21<3:52:38,  8.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0641676187515259, dino_loss: 0.640625, depth_loss: 0.04740118235349655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8403178453445435, dino_loss: 0.64453125, depth_loss: 0.051787883043289185, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8366/10000 [21:19:28<3:41:36,  8.14s/it]
                                                         
{'loss': 2.4351, 'grad_norm': 2.8592026233673096, 'learning_rate': 3.561833595158698e-06, 'epoch': 0.08}

 84%|████████▎ | 8366/10000 [21:19:28<3:41:36,  8.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6589636206626892, dino_loss: 0.515625, depth_loss: 0.054148826748132706, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8243736624717712, dino_loss: 0.69921875, depth_loss: 0.0677313357591629, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8367/10000 [21:19:37<3:49:05,  8.42s/it]
                                                         
{'loss': 2.1933, 'grad_norm': 2.1682395935058594, 'learning_rate': 3.5575817162483926e-06, 'epoch': 0.08}

 84%|████████▎ | 8367/10000 [21:19:37<3:49:05,  8.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.968985915184021, dino_loss: 0.62890625, depth_loss: 0.0654788613319397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9146082997322083, dino_loss: 0.703125, depth_loss: 0.10785257816314697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8368/10000 [21:19:48<4:03:10,  8.94s/it]
                                                         
{'loss': 2.6202, 'grad_norm': 4.315113544464111, 'learning_rate': 3.5533321822487143e-06, 'epoch': 0.08}

 84%|████████▎ | 8368/10000 [21:19:48<4:03:10,  8.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8530275225639343, dino_loss: 0.66796875, depth_loss: 0.0848018154501915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6208944320678711, dino_loss: 0.63671875, depth_loss: 0.04697900265455246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8369/10000 [21:19:57<4:07:33,  9.11s/it]
                                                         
{'loss': 2.4418, 'grad_norm': 4.984057426452637, 'learning_rate': 3.549084993624391e-06, 'epoch': 0.08}

 84%|████████▎ | 8369/10000 [21:19:57<4:07:33,  9.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6182553172111511, dino_loss: 0.62109375, depth_loss: 0.049478910863399506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.67578125, depth_loss: 0.06409981101751328, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8370/10000 [21:20:04<3:52:32,  8.56s/it]
                                                         
{'loss': 2.1243, 'grad_norm': 1.5292835235595703, 'learning_rate': 3.544840150839876e-06, 'epoch': 0.08}

 84%|████████▎ | 8370/10000 [21:20:04<3:52:32,  8.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7416261434555054, dino_loss: 0.5703125, depth_loss: 0.05161551386117935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7542389631271362, dino_loss: 0.6328125, depth_loss: 0.05563969537615776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8371/10000 [21:20:14<3:58:16,  8.78s/it]
                                                         
{'loss': 2.1777, 'grad_norm': 3.7221105098724365, 'learning_rate': 3.5405976543593844e-06, 'epoch': 0.08}

 84%|████████▎ | 8371/10000 [21:20:14<3:58:16,  8.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8719061613082886, dino_loss: 0.67578125, depth_loss: 0.06085434556007385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7901215553283691, dino_loss: 0.6875, depth_loss: 0.05151168629527092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8372/10000 [21:20:22<3:52:52,  8.58s/it]
                                                         
{'loss': 2.2804, 'grad_norm': 4.111863613128662, 'learning_rate': 3.536357504646873e-06, 'epoch': 0.08}

 84%|████████▎ | 8372/10000 [21:20:22<3:52:52,  8.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.884393572807312, dino_loss: 0.609375, depth_loss: 0.06753261387348175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.744491457939148, dino_loss: 0.625, depth_loss: 0.04338618740439415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8373/10000 [21:20:30<3:51:19,  8.53s/it]
                                                         
{'loss': 2.1234, 'grad_norm': 4.1643595695495605, 'learning_rate': 3.5321197021660313e-06, 'epoch': 0.08}

 84%|████████▎ | 8373/10000 [21:20:30<3:51:19,  8.53s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8979412913322449, dino_loss: 0.6953125, depth_loss: 0.06290304660797119, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5370508432388306, dino_loss: 0.68359375, depth_loss: 0.07697424292564392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▎ | 8374/10000 [21:20:37<3:33:45,  7.89s/it]
                                                         
{'loss': 2.6666, 'grad_norm': 3.5606579780578613, 'learning_rate': 3.5278842473803032e-06, 'epoch': 0.08}

 84%|████████▎ | 8374/10000 [21:20:37<3:33:45,  7.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8785500526428223, dino_loss: 0.67578125, depth_loss: 0.04007548838853836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.712847113609314, dino_loss: 0.7109375, depth_loss: 0.049893446266651154, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8375/10000 [21:20:45<3:35:47,  7.97s/it]
                                                         
{'loss': 1.9628, 'grad_norm': 3.635786533355713, 'learning_rate': 3.523651140752868e-06, 'epoch': 0.08}

 84%|████████▍ | 8375/10000 [21:20:45<3:35:47,  7.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9919306635856628, dino_loss: 0.69140625, depth_loss: 0.08659721910953522, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7858594059944153, dino_loss: 0.70703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8376/10000 [21:20:53<3:37:28,  8.03s/it]
                                                         
{'loss': 2.6813, 'grad_norm': 5.260504245758057, 'learning_rate': 3.519420382746663e-06, 'epoch': 0.08}

 84%|████████▍ | 8376/10000 [21:20:53<3:37:28,  8.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7573007345199585, dino_loss: 0.66015625, depth_loss: 0.05982948839664459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6410929560661316, dino_loss: 0.71875, depth_loss: 0.051275551319122314, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8377/10000 [21:21:02<3:45:33,  8.34s/it]
                                                         
{'loss': 2.649, 'grad_norm': 2.538015127182007, 'learning_rate': 3.5151919738243416e-06, 'epoch': 0.08}

 84%|████████▍ | 8377/10000 [21:21:02<3:45:33,  8.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8262683153152466, dino_loss: 0.68359375, depth_loss: 0.07200071960687637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7926005125045776, dino_loss: 0.66796875, depth_loss: 0.03145570680499077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8378/10000 [21:21:13<4:04:06,  9.03s/it]
                                                         
{'loss': 2.3362, 'grad_norm': 2.6521124839782715, 'learning_rate': 3.510965914448333e-06, 'epoch': 0.08}

 84%|████████▍ | 8378/10000 [21:21:13<4:04:06,  9.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9950679540634155, dino_loss: 0.62890625, depth_loss: 0.05747954174876213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7546778917312622, dino_loss: 0.70703125, depth_loss: 0.054625317454338074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8379/10000 [21:21:20<3:52:04,  8.59s/it]
                                                         
{'loss': 2.1166, 'grad_norm': 2.960874319076538, 'learning_rate': 3.5067422050807764e-06, 'epoch': 0.08}

 84%|████████▍ | 8379/10000 [21:21:20<3:52:04,  8.59s/it]seg_loss: 0.0, dino_loss: 0.640625, depth_loss: 0.053974639624357224, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0040576457977295, dino_loss: 0.62109375, depth_loss: 0.046933505684137344, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8380/10000 [21:21:26<3:26:59,  7.67s/it]
                                                         
{'loss': 2.0695, 'grad_norm': 11.892494201660156, 'learning_rate': 3.502520846183577e-06, 'epoch': 0.08}

 84%|████████▍ | 8380/10000 [21:21:26<3:26:59,  7.67s/it]the number of masks: 8
seg_loss: 0.5909785628318787, dino_loss: 0.71484375, depth_loss: 0.039218295365571976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9559788703918457, dino_loss: 0.6953125, depth_loss: 0.06985042244195938, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8381/10000 [21:21:32<3:18:00,  7.34s/it]
                                                         
{'loss': 2.5309, 'grad_norm': 5.294848918914795, 'learning_rate': 3.4983018382183762e-06, 'epoch': 0.08}

 84%|████████▍ | 8381/10000 [21:21:32<3:18:00,  7.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8889874815940857, dino_loss: 0.67578125, depth_loss: 0.05337347090244293, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9760899543762207, dino_loss: 0.64453125, depth_loss: 0.047688618302345276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8382/10000 [21:21:40<3:17:52,  7.34s/it]
                                                         
{'loss': 1.7111, 'grad_norm': 4.789512634277344, 'learning_rate': 3.494085181646567e-06, 'epoch': 0.08}

 84%|████████▍ | 8382/10000 [21:21:40<3:17:52,  7.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7978515028953552, dino_loss: 0.0, depth_loss: 0.07126118242740631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.815514862537384, dino_loss: 0.68359375, depth_loss: 0.046999186277389526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8383/10000 [21:21:47<3:16:21,  7.29s/it]
                                                         
{'loss': 1.4855, 'grad_norm': 5.8410162925720215, 'learning_rate': 3.4898708769292604e-06, 'epoch': 0.08}

 84%|████████▍ | 8383/10000 [21:21:47<3:16:21,  7.29s/it]the number of masks: 8
seg_loss: 0.9124319553375244, dino_loss: 0.671875, depth_loss: 0.05747460573911667, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9568246603012085, dino_loss: 0.69921875, depth_loss: 0.05001178756356239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8384/10000 [21:21:53<3:07:10,  6.95s/it]
                                                         
{'loss': 2.2513, 'grad_norm': 8.386991500854492, 'learning_rate': 3.4856589245273437e-06, 'epoch': 0.08}

 84%|████████▍ | 8384/10000 [21:21:53<3:07:10,  6.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7793210744857788, dino_loss: 0.66015625, depth_loss: 0.05122090503573418, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6707550287246704, dino_loss: 0.6953125, depth_loss: 0.07784826308488846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8385/10000 [21:22:01<3:19:07,  7.40s/it]
                                                         
{'loss': 2.3669, 'grad_norm': 5.198730945587158, 'learning_rate': 3.4814493249014116e-06, 'epoch': 0.08}

 84%|████████▍ | 8385/10000 [21:22:01<3:19:07,  7.40s/it]the number of masks: 8
seg_loss: 0.8646701574325562, dino_loss: 0.0, depth_loss: 0.059799689799547195, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8851318359375, dino_loss: 0.71484375, depth_loss: 0.08270199596881866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8386/10000 [21:22:09<3:21:36,  7.49s/it]
                                                         
{'loss': 2.2319, 'grad_norm': 5.463952541351318, 'learning_rate': 3.4772420785118306e-06, 'epoch': 0.08}

 84%|████████▍ | 8386/10000 [21:22:09<3:21:36,  7.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5547218322753906, dino_loss: 0.0, depth_loss: 0.050192754715681076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9476771354675293, dino_loss: 0.6875, depth_loss: 0.050763532519340515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8387/10000 [21:22:19<3:43:22,  8.31s/it]
                                                         
{'loss': 2.5071, 'grad_norm': 3.617204189300537, 'learning_rate': 3.473037185818695e-06, 'epoch': 0.08}

 84%|████████▍ | 8387/10000 [21:22:19<3:43:22,  8.31s/it]the number of masks: 8
seg_loss: 0.8554511666297913, dino_loss: 0.65625, depth_loss: 0.05870278924703598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8234963417053223, dino_loss: 0.66796875, depth_loss: 0.0882377028465271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8388/10000 [21:22:27<3:35:41,  8.03s/it]
                                                         
{'loss': 2.5125, 'grad_norm': 3.9809916019439697, 'learning_rate': 3.4688346472818546e-06, 'epoch': 0.08}

 84%|████████▍ | 8388/10000 [21:22:27<3:35:41,  8.03s/it]the number of masks: 8
seg_loss: 0.6745688915252686, dino_loss: 0.67578125, depth_loss: 0.03470893204212189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8683914542198181, dino_loss: 0.5859375, depth_loss: 0.04000657796859741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8389/10000 [21:22:33<3:20:33,  7.47s/it]
                                                         
{'loss': 2.4662, 'grad_norm': 4.110795974731445, 'learning_rate': 3.46463446336088e-06, 'epoch': 0.08}

 84%|████████▍ | 8389/10000 [21:22:33<3:20:33,  7.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9249615669250488, dino_loss: 0.65234375, depth_loss: 0.028175821527838707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7434967756271362, dino_loss: 0.6484375, depth_loss: 0.1110425591468811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8390/10000 [21:22:41<3:26:07,  7.68s/it]
                                                         
{'loss': 2.0762, 'grad_norm': 6.476804733276367, 'learning_rate': 3.46043663451511e-06, 'epoch': 0.08}

 84%|████████▍ | 8390/10000 [21:22:41<3:26:07,  7.68s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8341679573059082, dino_loss: 0.59765625, depth_loss: 0.0503636971116066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0393681526184082, dino_loss: 0.6015625, depth_loss: 0.06491857767105103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8391/10000 [21:22:49<3:26:44,  7.71s/it]
                                                         
{'loss': 2.2161, 'grad_norm': 4.345262050628662, 'learning_rate': 3.456241161203597e-06, 'epoch': 0.08}

 84%|████████▍ | 8391/10000 [21:22:49<3:26:44,  7.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6402077674865723, dino_loss: 0.60546875, depth_loss: 0.05221737176179886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9333440065383911, dino_loss: 0.62109375, depth_loss: 0.05083627998828888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8392/10000 [21:22:57<3:31:56,  7.91s/it]
                                                         
{'loss': 2.2638, 'grad_norm': 5.124742031097412, 'learning_rate': 3.4520480438851618e-06, 'epoch': 0.08}

 84%|████████▍ | 8392/10000 [21:22:57<3:31:56,  7.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7667890787124634, dino_loss: 0.60546875, depth_loss: 0.06314995139837265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 2
seg_loss: 0.6489624977111816, dino_loss: 0.63671875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8393/10000 [21:23:06<3:37:53,  8.14s/it]
                                                         
{'loss': 2.3277, 'grad_norm': 3.6115732192993164, 'learning_rate': 3.447857283018352e-06, 'epoch': 0.08}

 84%|████████▍ | 8393/10000 [21:23:06<3:37:53,  8.14s/it]the number of masks: 8
seg_loss: 0.9240740537643433, dino_loss: 0.78125, depth_loss: 0.07156715542078018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8739559054374695, dino_loss: 0.62890625, depth_loss: 0.03673494979739189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8394/10000 [21:23:13<3:31:52,  7.92s/it]
                                                         
{'loss': 2.222, 'grad_norm': 9.527763366699219, 'learning_rate': 3.4436688790614764e-06, 'epoch': 0.08}

 84%|████████▍ | 8394/10000 [21:23:13<3:31:52,  7.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9219647645950317, dino_loss: 0.65625, depth_loss: 0.05530601739883423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0023432970046997, dino_loss: 0.71875, depth_loss: 0.05977091193199158, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8395/10000 [21:23:21<3:27:08,  7.74s/it]
                                                         
{'loss': 2.1554, 'grad_norm': 9.677050590515137, 'learning_rate': 3.439482832472554e-06, 'epoch': 0.08}

 84%|████████▍ | 8395/10000 [21:23:21<3:27:08,  7.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9159418940544128, dino_loss: 0.734375, depth_loss: 0.06544497609138489, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.141416311264038, dino_loss: 0.6796875, depth_loss: 0.03953130170702934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8396/10000 [21:23:30<3:38:30,  8.17s/it]
                                                         
{'loss': 2.7709, 'grad_norm': 2.8903017044067383, 'learning_rate': 3.435299143709375e-06, 'epoch': 0.08}

 84%|████████▍ | 8396/10000 [21:23:30<3:38:30,  8.17s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8891854286193848, dino_loss: 0.82421875, depth_loss: 0.05767209455370903, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7902253866195679, dino_loss: 0.0, depth_loss: 0.09249202162027359, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8397/10000 [21:23:37<3:30:12,  7.87s/it]
                                                         
{'loss': 1.7786, 'grad_norm': 3.3859126567840576, 'learning_rate': 3.4311178132294674e-06, 'epoch': 0.08}

 84%|████████▍ | 8397/10000 [21:23:37<3:30:12,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6158872842788696, dino_loss: 0.57421875, depth_loss: 0.028860868886113167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7808110117912292, dino_loss: 0.5859375, depth_loss: 0.06036653369665146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8398/10000 [21:23:46<3:37:43,  8.15s/it]
                                                         
{'loss': 2.3372, 'grad_norm': 6.9484357833862305, 'learning_rate': 3.4269388414900792e-06, 'epoch': 0.08}

 84%|████████▍ | 8398/10000 [21:23:46<3:37:43,  8.15s/it]the number of masks: 8
seg_loss: 1.053338646888733, dino_loss: 0.64453125, depth_loss: 0.06107497960329056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5905356407165527, dino_loss: 0.625, depth_loss: 0.05053487792611122, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8399/10000 [21:23:52<3:22:15,  7.58s/it]
                                                         
{'loss': 1.7611, 'grad_norm': 9.624256134033203, 'learning_rate': 3.422762228948223e-06, 'epoch': 0.08}

 84%|████████▍ | 8399/10000 [21:23:52<3:22:15,  7.58s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9211527109146118, dino_loss: 0.78125, depth_loss: 0.06634186208248138, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5576992034912109, dino_loss: 0.63671875, depth_loss: 0.051396310329437256, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8400/10000 [21:23:59<3:21:18,  7.55s/it]
                                                         
{'loss': 2.2331, 'grad_norm': 7.654844284057617, 'learning_rate': 3.418587976060653e-06, 'epoch': 0.08}

 84%|████████▍ | 8400/10000 [21:23:59<3:21:18,  7.55s/it]the number of masks: 8
seg_loss: 1.047149658203125, dino_loss: 0.8359375, depth_loss: 0.047831784933805466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8772388100624084, dino_loss: 0.62109375, depth_loss: 0.05873697251081467, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8401/10000 [21:24:06<3:11:00,  7.17s/it]
                                                         
{'loss': 2.2393, 'grad_norm': 3.611525297164917, 'learning_rate': 3.414416083283856e-06, 'epoch': 0.08}

 84%|████████▍ | 8401/10000 [21:24:06<3:11:00,  7.17s/it]the number of masks: 8
seg_loss: 0.7718561887741089, dino_loss: 0.71875, depth_loss: 0.06687966734170914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8119573593139648, dino_loss: 0.58984375, depth_loss: 0.07425859570503235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8402/10000 [21:24:13<3:11:57,  7.21s/it]
                                                         
{'loss': 1.9587, 'grad_norm': 4.795267105102539, 'learning_rate': 3.410246551074059e-06, 'epoch': 0.08}

 84%|████████▍ | 8402/10000 [21:24:13<3:11:57,  7.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8977768421173096, dino_loss: 0.71484375, depth_loss: 0.05547482520341873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.3610974848270416, dino_loss: 0.5625, depth_loss: 0.03883463889360428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8403/10000 [21:24:23<3:31:16,  7.94s/it]
                                                         
{'loss': 2.1731, 'grad_norm': 4.891536712646484, 'learning_rate': 3.4060793798872447e-06, 'epoch': 0.08}

 84%|████████▍ | 8403/10000 [21:24:23<3:31:16,  7.94s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8972549438476562, dino_loss: 0.66015625, depth_loss: 0.057837314903736115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6123616695404053, dino_loss: 0.6640625, depth_loss: 0.055859051644802094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8404/10000 [21:24:30<3:28:24,  7.84s/it]
                                                         
{'loss': 2.2817, 'grad_norm': 4.487861633300781, 'learning_rate': 3.4019145701791184e-06, 'epoch': 0.08}

 84%|████████▍ | 8404/10000 [21:24:30<3:28:24,  7.84s/it]the number of masks: 8
seg_loss: 0.9382339715957642, dino_loss: 0.63671875, depth_loss: 0.08997972309589386, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6892459988594055, dino_loss: 0.494140625, depth_loss: 0.05106010288000107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8405/10000 [21:24:36<3:14:19,  7.31s/it]
                                                         
{'loss': 2.3395, 'grad_norm': 2.369598627090454, 'learning_rate': 3.3977521224051427e-06, 'epoch': 0.08}

 84%|████████▍ | 8405/10000 [21:24:36<3:14:19,  7.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7009415626525879, dino_loss: 0.77734375, depth_loss: 0.05321986973285675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6051135063171387, dino_loss: 0.515625, depth_loss: 0.04412976652383804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8406/10000 [21:24:45<3:23:34,  7.66s/it]
                                                         
{'loss': 1.7919, 'grad_norm': 2.763620138168335, 'learning_rate': 3.3935920370205154e-06, 'epoch': 0.08}

 84%|████████▍ | 8406/10000 [21:24:45<3:23:34,  7.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7494460344314575, dino_loss: 0.73828125, depth_loss: 0.05101367086172104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8000389933586121, dino_loss: 0.640625, depth_loss: 0.038919102400541306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8407/10000 [21:24:54<3:35:07,  8.10s/it]
                                                         
{'loss': 1.8684, 'grad_norm': 6.279775142669678, 'learning_rate': 3.389434314480186e-06, 'epoch': 0.08}

 84%|████████▍ | 8407/10000 [21:24:54<3:35:07,  8.10s/it]the number of masks: 8
seg_loss: 0.4813573956489563, dino_loss: 0.6484375, depth_loss: 0.05968181788921356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8077750205993652, dino_loss: 0.69921875, depth_loss: 0.06133849918842316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8408/10000 [21:25:03<3:42:06,  8.37s/it]
                                                         
{'loss': 2.0953, 'grad_norm': 2.255329132080078, 'learning_rate': 3.3852789552388214e-06, 'epoch': 0.08}

 84%|████████▍ | 8408/10000 [21:25:03<3:42:06,  8.37s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.06483124196529388, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7791786193847656, dino_loss: 0.6796875, depth_loss: 0.06080763041973114, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8409/10000 [21:25:10<3:31:08,  7.96s/it]
                                                         
{'loss': 2.0419, 'grad_norm': 1.8734780550003052, 'learning_rate': 3.3811259597508582e-06, 'epoch': 0.08}

 84%|████████▍ | 8409/10000 [21:25:10<3:31:08,  7.96s/it]the number of masks: 8
seg_loss: 0.9134816527366638, dino_loss: 0.703125, depth_loss: 0.08115430921316147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7112665176391602, dino_loss: 0.640625, depth_loss: 0.05313093215227127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8410/10000 [21:25:18<3:31:04,  7.97s/it]
                                                         
{'loss': 2.5032, 'grad_norm': 7.674422264099121, 'learning_rate': 3.3769753284704526e-06, 'epoch': 0.08}

 84%|████████▍ | 8410/10000 [21:25:18<3:31:04,  7.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5981550812721252, dino_loss: 0.490234375, depth_loss: 0.04743334278464317, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8653320074081421, dino_loss: 0.6640625, depth_loss: 0.06667080521583557, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8411/10000 [21:25:26<3:35:54,  8.15s/it]
                                                         
{'loss': 2.0723, 'grad_norm': 4.776496887207031, 'learning_rate': 3.3728270618515188e-06, 'epoch': 0.08}

 84%|████████▍ | 8411/10000 [21:25:26<3:35:54,  8.15s/it]the number of masks: 8
seg_loss: 1.0359456539154053, dino_loss: 0.71484375, depth_loss: 0.06305033713579178, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8197797536849976, dino_loss: 0.5, depth_loss: 0.05269987881183624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8412/10000 [21:25:33<3:21:12,  7.60s/it]
                                                         
{'loss': 2.0033, 'grad_norm': 7.637275695800781, 'learning_rate': 3.368681160347692e-06, 'epoch': 0.08}

 84%|████████▍ | 8412/10000 [21:25:33<3:21:12,  7.60s/it]the number of masks: 8
seg_loss: 0.5398118495941162, dino_loss: 0.60546875, depth_loss: 0.05198920518159866, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6437422037124634, dino_loss: 0.66015625, depth_loss: 0.044502247124910355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8413/10000 [21:25:39<3:12:11,  7.27s/it]
                                                         
{'loss': 1.9096, 'grad_norm': 3.6266725063323975, 'learning_rate': 3.364537624412381e-06, 'epoch': 0.08}

 84%|████████▍ | 8413/10000 [21:25:39<3:12:11,  7.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0827596187591553, dino_loss: 0.625, depth_loss: 0.05593720078468323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7826374173164368, dino_loss: 0.67578125, depth_loss: 0.060325756669044495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8414/10000 [21:25:48<3:24:59,  7.76s/it]
                                                         
{'loss': 1.9433, 'grad_norm': 5.158382415771484, 'learning_rate': 3.3603964544987043e-06, 'epoch': 0.08}

 84%|████████▍ | 8414/10000 [21:25:48<3:24:59,  7.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8173738718032837, dino_loss: 0.5859375, depth_loss: 0.05971815437078476, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9052980542182922, dino_loss: 0.66796875, depth_loss: 0.06568478047847748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8415/10000 [21:25:57<3:35:53,  8.17s/it]
                                                         
{'loss': 1.8663, 'grad_norm': 3.7868356704711914, 'learning_rate': 3.3562576510595385e-06, 'epoch': 0.08}

 84%|████████▍ | 8415/10000 [21:25:57<3:35:53,  8.17s/it]seg_loss: 0.0, dino_loss: 0.703125, depth_loss: 0.055875010788440704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6766045093536377, dino_loss: 0.6484375, depth_loss: 0.052391018718481064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8416/10000 [21:26:03<3:13:10,  7.32s/it]
                                                         
{'loss': 1.426, 'grad_norm': 4.681539058685303, 'learning_rate': 3.3521212145474905e-06, 'epoch': 0.08}

 84%|████████▍ | 8416/10000 [21:26:03<3:13:10,  7.32s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9351778030395508, dino_loss: 0.62890625, depth_loss: 0.07082904875278473, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7344030141830444, dino_loss: 0.7109375, depth_loss: 0.08137255907058716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8417/10000 [21:26:13<3:36:15,  8.20s/it]
                                                         
{'loss': 2.3581, 'grad_norm': 3.266434669494629, 'learning_rate': 3.3479871454149214e-06, 'epoch': 0.08}

 84%|████████▍ | 8417/10000 [21:26:13<3:36:15,  8.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7869583368301392, dino_loss: 0.6796875, depth_loss: 0.07488445192575455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1111668348312378, dino_loss: 0.7109375, depth_loss: 0.053468137979507446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8418/10000 [21:26:23<3:49:47,  8.72s/it]
                                                         
{'loss': 2.4523, 'grad_norm': 2.528280258178711, 'learning_rate': 3.3438554441139247e-06, 'epoch': 0.08}

 84%|████████▍ | 8418/10000 [21:26:23<3:49:47,  8.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.883682131767273, dino_loss: 0.68359375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9546949863433838, dino_loss: 0.65625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8419/10000 [21:26:29<3:29:16,  7.94s/it]
                                                         
{'loss': 2.7256, 'grad_norm': 6.035950183868408, 'learning_rate': 3.339726111096342e-06, 'epoch': 0.08}

 84%|████████▍ | 8419/10000 [21:26:29<3:29:16,  7.94s/it]the number of masks: 8
seg_loss: 0.9040561318397522, dino_loss: 0.75, depth_loss: 0.045672062784433365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8715319633483887, dino_loss: 0.64453125, depth_loss: 0.058329831808805466, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8420/10000 [21:26:37<3:28:19,  7.91s/it]
                                                         
{'loss': 2.802, 'grad_norm': 3.6442553997039795, 'learning_rate': 3.3355991468137394e-06, 'epoch': 0.08}

 84%|████████▍ | 8420/10000 [21:26:37<3:28:19,  7.91s/it]the number of masks: 8
seg_loss: 0.7867891788482666, dino_loss: 0.69921875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0190773010253906, dino_loss: 0.71875, depth_loss: 0.07576315850019455, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8421/10000 [21:26:42<3:06:33,  7.09s/it]
                                                         
{'loss': 2.4364, 'grad_norm': 4.697201251983643, 'learning_rate': 3.3314745517174423e-06, 'epoch': 0.08}

 84%|████████▍ | 8421/10000 [21:26:42<3:06:33,  7.09s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.6470270156860352, dino_loss: 0.73828125, depth_loss: 0.046366311609745026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8002207279205322, dino_loss: 0.0, depth_loss: 0.07094143331050873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8422/10000 [21:26:53<3:36:47,  8.24s/it]
                                                         
{'loss': 2.0269, 'grad_norm': 9.089217185974121, 'learning_rate': 3.327352326258515e-06, 'epoch': 0.08}

 84%|████████▍ | 8422/10000 [21:26:53<3:36:47,  8.24s/it]the number of masks: 4
the number of masks: 8
seg_loss: 0.6970691680908203, dino_loss: 0.671875, depth_loss: 0.05245129391551018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9762372970581055, dino_loss: 0.734375, depth_loss: 0.05826282128691673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8423/10000 [21:27:02<3:40:34,  8.39s/it]
                                                         
{'loss': 2.0929, 'grad_norm': 3.6948540210723877, 'learning_rate': 3.3232324708877495e-06, 'epoch': 0.08}

 84%|████████▍ | 8423/10000 [21:27:02<3:40:34,  8.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.972550094127655, dino_loss: 0.0, depth_loss: 0.07808082550764084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7829256653785706, dino_loss: 0.66796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8424/10000 [21:27:10<3:40:55,  8.41s/it]
                                                         
{'loss': 2.153, 'grad_norm': 7.014148712158203, 'learning_rate': 3.3191149860556963e-06, 'epoch': 0.08}

 84%|████████▍ | 8424/10000 [21:27:10<3:40:55,  8.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
the number of masks: 8
seg_loss: 0.7170231938362122, dino_loss: 0.6484375, depth_loss: 0.0658596009016037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9086925983428955, dino_loss: 0.6796875, depth_loss: 0.06835629045963287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8425/10000 [21:27:20<3:52:14,  8.85s/it]
                                                         
{'loss': 2.1182, 'grad_norm': 4.872683525085449, 'learning_rate': 3.314999872212618e-06, 'epoch': 0.08}

 84%|████████▍ | 8425/10000 [21:27:20<3:52:14,  8.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8761278390884399, dino_loss: 0.65625, depth_loss: 0.058087583631277084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5738017559051514, dino_loss: 0.6484375, depth_loss: 0.046030331403017044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8426/10000 [21:27:29<3:56:07,  9.00s/it]
                                                         
{'loss': 1.9863, 'grad_norm': 2.68500018119812, 'learning_rate': 3.3108871298085625e-06, 'epoch': 0.08}

 84%|████████▍ | 8426/10000 [21:27:29<3:56:07,  9.00s/it]the number of masks: 8
seg_loss: 0.8710510730743408, dino_loss: 0.72265625, depth_loss: 0.05202329158782959, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9262519478797913, dino_loss: 0.70703125, depth_loss: 0.07303047180175781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8427/10000 [21:27:36<3:37:00,  8.28s/it]
                                                         
{'loss': 2.7945, 'grad_norm': 3.4495797157287598, 'learning_rate': 3.3067767592932787e-06, 'epoch': 0.08}

 84%|████████▍ | 8427/10000 [21:27:36<3:37:00,  8.28s/it]seg_loss: 0.0, dino_loss: 0.6796875, depth_loss: 0.07096488028764725, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.037327527999878, dino_loss: 0.6953125, depth_loss: 0.07046009600162506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8428/10000 [21:27:41<3:11:23,  7.30s/it]
                                                         
{'loss': 1.7846, 'grad_norm': 5.55330753326416, 'learning_rate': 3.302668761116276e-06, 'epoch': 0.08}

 84%|████████▍ | 8428/10000 [21:27:41<3:11:23,  7.30s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8184280395507812, dino_loss: 0.70703125, depth_loss: 0.05068071186542511, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4577251672744751, dino_loss: 0.5078125, depth_loss: 0.03164464980363846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8429/10000 [21:27:48<3:12:02,  7.33s/it]
                                                         
{'loss': 2.0789, 'grad_norm': 5.848365783691406, 'learning_rate': 3.2985631357267897e-06, 'epoch': 0.08}

 84%|████████▍ | 8429/10000 [21:27:48<3:12:02,  7.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.911053478717804, dino_loss: 0.71484375, depth_loss: 0.04216086119413376, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0015618801116943, dino_loss: 0.68359375, depth_loss: 0.08363377302885056, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8430/10000 [21:27:56<3:11:50,  7.33s/it]
                                                         
{'loss': 2.5228, 'grad_norm': 5.295194149017334, 'learning_rate': 3.2944598835738193e-06, 'epoch': 0.08}

 84%|████████▍ | 8430/10000 [21:27:56<3:11:50,  7.33s/it]the number of masks: 8
seg_loss: 1.0258972644805908, dino_loss: 0.6484375, depth_loss: 0.12120050191879272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8515200614929199, dino_loss: 0.6953125, depth_loss: 0.05904737859964371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8431/10000 [21:28:03<3:11:49,  7.34s/it]
                                                         
{'loss': 2.4388, 'grad_norm': 2.910409450531006, 'learning_rate': 3.2903590051060694e-06, 'epoch': 0.08}

 84%|████████▍ | 8431/10000 [21:28:03<3:11:49,  7.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0743794441223145, dino_loss: 0.72265625, depth_loss: 0.06836135685443878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.069488763809204, dino_loss: 0.6640625, depth_loss: 0.047847237437963486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8432/10000 [21:28:13<3:29:45,  8.03s/it]
                                                         
{'loss': 2.571, 'grad_norm': 4.718520164489746, 'learning_rate': 3.2862605007720287e-06, 'epoch': 0.08}

 84%|████████▍ | 8432/10000 [21:28:13<3:29:45,  8.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9550390839576721, dino_loss: 0.6796875, depth_loss: 0.06560748815536499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8161743879318237, dino_loss: 0.67578125, depth_loss: 0.04286384582519531, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8433/10000 [21:28:22<3:39:34,  8.41s/it]
                                                         
{'loss': 2.3903, 'grad_norm': 4.440793514251709, 'learning_rate': 3.2821643710198914e-06, 'epoch': 0.08}

 84%|████████▍ | 8433/10000 [21:28:22<3:39:34,  8.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7370865941047668, dino_loss: 0.66015625, depth_loss: 0.05747126042842865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7770620584487915, dino_loss: 0.69140625, depth_loss: 0.0651261955499649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8434/10000 [21:28:30<3:33:03,  8.16s/it]
                                                         
{'loss': 2.313, 'grad_norm': 5.8130621910095215, 'learning_rate': 3.27807061629761e-06, 'epoch': 0.08}

 84%|████████▍ | 8434/10000 [21:28:30<3:33:03,  8.16s/it]the number of masks: 8
seg_loss: 1.029222846031189, dino_loss: 0.71484375, depth_loss: 0.05894637107849121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5053291320800781, dino_loss: 0.69921875, depth_loss: 0.05369049310684204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8435/10000 [21:28:36<3:15:46,  7.51s/it]
                                                         
{'loss': 2.5404, 'grad_norm': 2.774578094482422, 'learning_rate': 3.2739792370528628e-06, 'epoch': 0.08}

 84%|████████▍ | 8435/10000 [21:28:36<3:15:46,  7.51s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.886438250541687, dino_loss: 0.76171875, depth_loss: 0.06863665580749512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8436/10000 [21:28:42<3:05:44,  7.13s/it]
                                                         
{'loss': 1.6065, 'grad_norm': 2.4461348056793213, 'learning_rate': 3.269890233733086e-06, 'epoch': 0.08}

 84%|████████▍ | 8436/10000 [21:28:42<3:05:44,  7.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8002322912216187, dino_loss: 0.6015625, depth_loss: 0.05832095071673393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6610679626464844, dino_loss: 0.6875, depth_loss: 0.03540676459670067, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8437/10000 [21:28:49<3:08:28,  7.24s/it]
                                                         
{'loss': 2.1673, 'grad_norm': 4.785888671875, 'learning_rate': 3.2658036067854307e-06, 'epoch': 0.08}

 84%|████████▍ | 8437/10000 [21:28:49<3:08:28,  7.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9109527468681335, dino_loss: 0.66015625, depth_loss: 0.07852771878242493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0072689056396484, dino_loss: 0.60546875, depth_loss: 0.03940380737185478, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8438/10000 [21:28:59<3:31:05,  8.11s/it]
                                                         
{'loss': 2.3486, 'grad_norm': 3.9805657863616943, 'learning_rate': 3.2617193566568283e-06, 'epoch': 0.08}

 84%|████████▍ | 8438/10000 [21:28:59<3:31:05,  8.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7844184637069702, dino_loss: 0.640625, depth_loss: 0.05705913156270981, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.894054651260376, dino_loss: 0.6796875, depth_loss: 0.06496242433786392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8439/10000 [21:29:08<3:36:16,  8.31s/it]
                                                         
{'loss': 2.2567, 'grad_norm': 3.0019757747650146, 'learning_rate': 3.25763748379391e-06, 'epoch': 0.08}

 84%|████████▍ | 8439/10000 [21:29:08<3:36:16,  8.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0135540962219238, dino_loss: 0.55859375, depth_loss: 0.06566743552684784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.790062427520752, dino_loss: 0.66796875, depth_loss: 0.06773154437541962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8440/10000 [21:29:19<3:53:17,  8.97s/it]
                                                         
{'loss': 1.9714, 'grad_norm': 3.961395740509033, 'learning_rate': 3.2535579886430718e-06, 'epoch': 0.08}

 84%|████████▍ | 8440/10000 [21:29:19<3:53:17,  8.97s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.969923198223114, dino_loss: 0.703125, depth_loss: 0.0677546039223671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8977598547935486, dino_loss: 0.765625, depth_loss: 0.06762475520372391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8441/10000 [21:29:26<3:39:59,  8.47s/it]
                                                         
{'loss': 2.7651, 'grad_norm': 7.25035285949707, 'learning_rate': 3.2494808716504287e-06, 'epoch': 0.08}

 84%|████████▍ | 8441/10000 [21:29:26<3:39:59,  8.47s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7500513792037964, dino_loss: 0.6953125, depth_loss: 0.05057273432612419, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9198368787765503, dino_loss: 0.69140625, depth_loss: 0.06743156909942627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8442/10000 [21:29:35<3:45:33,  8.69s/it]
                                                         
{'loss': 1.9191, 'grad_norm': 3.5746634006500244, 'learning_rate': 3.245406133261858e-06, 'epoch': 0.08}

 84%|████████▍ | 8442/10000 [21:29:35<3:45:33,  8.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.74394291639328, dino_loss: 0.640625, depth_loss: 0.03892040252685547, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8628117442131042, dino_loss: 0.6796875, depth_loss: 0.07833600789308548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8443/10000 [21:29:45<3:54:15,  9.03s/it]
                                                         
{'loss': 2.0302, 'grad_norm': 3.8656604290008545, 'learning_rate': 3.241333773922972e-06, 'epoch': 0.08}

 84%|████████▍ | 8443/10000 [21:29:45<3:54:15,  9.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9561564326286316, dino_loss: 0.72265625, depth_loss: 0.05790141969919205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6656432747840881, dino_loss: 0.5078125, depth_loss: 0.07320773601531982, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8444/10000 [21:29:52<3:41:55,  8.56s/it]
                                                         
{'loss': 2.0012, 'grad_norm': 3.4476277828216553, 'learning_rate': 3.237263794079104e-06, 'epoch': 0.08}

 84%|████████▍ | 8444/10000 [21:29:52<3:41:55,  8.56s/it]the number of masks: 8
seg_loss: 0.8802281022071838, dino_loss: 0.7578125, depth_loss: 0.08444653451442719, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6491988897323608, dino_loss: 0.58203125, depth_loss: 0.035634275525808334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8445/10000 [21:29:59<3:27:54,  8.02s/it]
                                                         
{'loss': 1.969, 'grad_norm': 3.3179144859313965, 'learning_rate': 3.2331961941753474e-06, 'epoch': 0.08}

 84%|████████▍ | 8445/10000 [21:29:59<3:27:54,  8.02s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6719489693641663, dino_loss: 0.6640625, depth_loss: 0.054738663136959076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8498041033744812, dino_loss: 0.6875, depth_loss: 0.09179268032312393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8446/10000 [21:30:07<3:26:18,  7.97s/it]
                                                         
{'loss': 1.8327, 'grad_norm': 3.885265588760376, 'learning_rate': 3.22913097465653e-06, 'epoch': 0.08}

 84%|████████▍ | 8446/10000 [21:30:07<3:26:18,  7.97s/it]the number of masks: 8
seg_loss: 1.1659002304077148, dino_loss: 0.66015625, depth_loss: 0.06381847709417343, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8621282577514648, dino_loss: 0.67578125, depth_loss: 0.06286690384149551, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8447/10000 [21:30:14<3:20:48,  7.76s/it]
                                                         
{'loss': 2.3774, 'grad_norm': 7.313063144683838, 'learning_rate': 3.2250681359672214e-06, 'epoch': 0.08}

 84%|████████▍ | 8447/10000 [21:30:14<3:20:48,  7.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8073972463607788, dino_loss: 0.6875, depth_loss: 0.053669631481170654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9973242282867432, dino_loss: 0.0, depth_loss: 0.04950200766324997, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8448/10000 [21:30:21<3:12:39,  7.45s/it]
                                                         
{'loss': 2.1761, 'grad_norm': 3.970301628112793, 'learning_rate': 3.2210076785517186e-06, 'epoch': 0.08}

 84%|████████▍ | 8448/10000 [21:30:21<3:12:39,  7.45s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8449127674102783, dino_loss: 0.0, depth_loss: 0.057582806795835495, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.918685793876648, dino_loss: 0.65625, depth_loss: 0.060291144996881485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8449/10000 [21:30:29<3:18:21,  7.67s/it]
                                                         
{'loss': 2.3999, 'grad_norm': 7.586003303527832, 'learning_rate': 3.2169496028540775e-06, 'epoch': 0.08}

 84%|████████▍ | 8449/10000 [21:30:29<3:18:21,  7.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9702388048171997, dino_loss: 0.68359375, depth_loss: 0.052261628210544586, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7140785455703735, dino_loss: 0.71484375, depth_loss: 0.05567656457424164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 84%|████████▍ | 8450/10000 [21:30:36<3:07:14,  7.25s/it]
                                                         
{'loss': 2.3273, 'grad_norm': 2.2702274322509766, 'learning_rate': 3.2128939093180655e-06, 'epoch': 0.08}

 84%|████████▍ | 8450/10000 [21:30:36<3:07:14,  7.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7747387290000916, dino_loss: 0.69921875, depth_loss: 0.057766932994127274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.749609649181366, dino_loss: 0.7265625, depth_loss: 0.06874708086252213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8451/10000 [21:30:44<3:16:31,  7.61s/it]
                                                         
{'loss': 2.5217, 'grad_norm': 8.6138334274292, 'learning_rate': 3.2088405983872306e-06, 'epoch': 0.08}

 85%|████████▍ | 8451/10000 [21:30:44<3:16:31,  7.61s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6430299282073975, dino_loss: 0.57421875, depth_loss: 0.049503959715366364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9620437622070312, dino_loss: 0.73828125, depth_loss: 0.07201521098613739, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8452/10000 [21:30:53<3:28:08,  8.07s/it]
                                                         
{'loss': 2.2393, 'grad_norm': 3.7420661449432373, 'learning_rate': 3.204789670504821e-06, 'epoch': 0.08}

 85%|████████▍ | 8452/10000 [21:30:53<3:28:08,  8.07s/it]the number of masks: 3
the number of masks: 8
seg_loss: 0.8126779198646545, dino_loss: 0.69921875, depth_loss: 0.05320420116186142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9837222099304199, dino_loss: 0.703125, depth_loss: 0.06957797706127167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8453/10000 [21:31:02<3:31:35,  8.21s/it]
                                                         
{'loss': 2.4972, 'grad_norm': 5.095762729644775, 'learning_rate': 3.200741126113849e-06, 'epoch': 0.08}

 85%|████████▍ | 8453/10000 [21:31:02<3:31:35,  8.21s/it]the number of masks: 4
the number of masks: 8
the number of masks: 8
seg_loss: 0.7320267558097839, dino_loss: 0.69140625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5833778381347656, dino_loss: 0.734375, depth_loss: 0.07631703466176987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8454/10000 [21:31:09<3:21:08,  7.81s/it]
                                                         
{'loss': 1.7184, 'grad_norm': 5.809023380279541, 'learning_rate': 3.196694965657046e-06, 'epoch': 0.08}

 85%|████████▍ | 8454/10000 [21:31:09<3:21:08,  7.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6046525239944458, dino_loss: 0.6484375, depth_loss: 0.05283087119460106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8385204076766968, dino_loss: 0.67578125, depth_loss: 0.06319543719291687, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8455/10000 [21:31:17<3:27:28,  8.06s/it]
                                                         
{'loss': 2.3374, 'grad_norm': 3.8741304874420166, 'learning_rate': 3.192651189576909e-06, 'epoch': 0.08}

 85%|████████▍ | 8455/10000 [21:31:17<3:27:28,  8.06s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8240388631820679, dino_loss: 0.6796875, depth_loss: 0.0601063147187233, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6409409046173096, dino_loss: 0.5859375, depth_loss: 0.06281464546918869, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8456/10000 [21:31:27<3:39:23,  8.53s/it]
                                                         
{'loss': 1.9971, 'grad_norm': 3.426771879196167, 'learning_rate': 3.1886097983156367e-06, 'epoch': 0.08}

 85%|████████▍ | 8456/10000 [21:31:27<3:39:23,  8.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9449721574783325, dino_loss: 0.72265625, depth_loss: 0.07170845568180084, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8653005957603455, dino_loss: 0.70703125, depth_loss: 0.05178173631429672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8457/10000 [21:31:36<3:44:27,  8.73s/it]
                                                         
{'loss': 2.2826, 'grad_norm': 2.959486961364746, 'learning_rate': 3.184570792315217e-06, 'epoch': 0.08}

 85%|████████▍ | 8457/10000 [21:31:36<3:44:27,  8.73s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8708505630493164, dino_loss: 0.70703125, depth_loss: 0.052030034363269806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 5
the number of masks: 4
seg_loss: 0.46758410334587097, dino_loss: 0.703125, depth_loss: 0.08550508320331573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8458/10000 [21:31:43<3:34:42,  8.35s/it]
                                                         
{'loss': 1.9547, 'grad_norm': 4.159654140472412, 'learning_rate': 3.1805341720173326e-06, 'epoch': 0.08}

 85%|████████▍ | 8458/10000 [21:31:43<3:34:42,  8.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8379000425338745, dino_loss: 0.60546875, depth_loss: 0.05435958132147789, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8531792163848877, dino_loss: 0.65234375, depth_loss: 0.08318455517292023, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8459/10000 [21:31:54<3:48:14,  8.89s/it]
                                                         
{'loss': 2.3817, 'grad_norm': 5.338747024536133, 'learning_rate': 3.176499937863428e-06, 'epoch': 0.08}

 85%|████████▍ | 8459/10000 [21:31:54<3:48:14,  8.89s/it]the number of masks: 8
seg_loss: 0.7648038268089294, dino_loss: 0.6875, depth_loss: 0.0760454460978508, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.47495827078819275, dino_loss: 0.60546875, depth_loss: 0.04286843165755272, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8460/10000 [21:31:59<3:21:29,  7.85s/it]
                                                         
{'loss': 1.8631, 'grad_norm': 4.751989841461182, 'learning_rate': 3.1724680902946753e-06, 'epoch': 0.08}

 85%|████████▍ | 8460/10000 [21:31:59<3:21:29,  7.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5295305252075195, dino_loss: 0.59765625, depth_loss: 0.046213507652282715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8786683678627014, dino_loss: 0.62109375, depth_loss: 0.06903591752052307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8461/10000 [21:32:07<3:25:19,  8.01s/it]
                                                         
{'loss': 1.9177, 'grad_norm': 2.786243200302124, 'learning_rate': 3.168438629752002e-06, 'epoch': 0.08}

 85%|████████▍ | 8461/10000 [21:32:07<3:25:19,  8.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.78835129737854, dino_loss: 0.58984375, depth_loss: 0.045950837433338165, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.091457486152649, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8462/10000 [21:32:14<3:17:53,  7.72s/it]
                                                         
{'loss': 2.0519, 'grad_norm': 5.4588212966918945, 'learning_rate': 3.16441155667605e-06, 'epoch': 0.08}

 85%|████████▍ | 8462/10000 [21:32:14<3:17:53,  7.72s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 2
seg_loss: 0.8724311590194702, dino_loss: 0.72265625, depth_loss: 0.0849737748503685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0310243368148804, dino_loss: 0.73046875, depth_loss: 0.07157184183597565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8463/10000 [21:32:23<3:23:31,  7.95s/it]
                                                         
{'loss': 2.4993, 'grad_norm': 11.250624656677246, 'learning_rate': 3.1603868715072205e-06, 'epoch': 0.08}

 85%|████████▍ | 8463/10000 [21:32:23<3:23:31,  7.95s/it]the number of masks: 8
seg_loss: 1.8221280574798584, dino_loss: 0.5078125, depth_loss: 0.03753882274031639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8926477432250977, dino_loss: 0.66015625, depth_loss: 0.0693151131272316, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8464/10000 [21:32:29<3:10:20,  7.44s/it]
                                                         
{'loss': 2.6441, 'grad_norm': 16.014326095581055, 'learning_rate': 3.156364574685647e-06, 'epoch': 0.08}

 85%|████████▍ | 8464/10000 [21:32:29<3:10:20,  7.44s/it]the number of masks: 8
seg_loss: 0.872481107711792, dino_loss: 0.66796875, depth_loss: 0.06288527697324753, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8967282176017761, dino_loss: 0.6640625, depth_loss: 0.06174743175506592, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8465/10000 [21:32:37<3:10:32,  7.45s/it]
                                                         
{'loss': 2.4583, 'grad_norm': 5.5372772216796875, 'learning_rate': 3.152344666651208e-06, 'epoch': 0.08}

 85%|████████▍ | 8465/10000 [21:32:37<3:10:32,  7.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7333426475524902, dino_loss: 0.625, depth_loss: 0.04987630248069763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7365325093269348, dino_loss: 0.70703125, depth_loss: 0.061138816177845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8466/10000 [21:32:45<3:20:56,  7.86s/it]
                                                         
{'loss': 2.1516, 'grad_norm': 4.234465599060059, 'learning_rate': 3.148327147843505e-06, 'epoch': 0.08}

 85%|████████▍ | 8466/10000 [21:32:45<3:20:56,  7.86s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7337149977684021, dino_loss: 0.6953125, depth_loss: 0.0650302916765213, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.671875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8467/10000 [21:32:51<3:02:56,  7.16s/it]
                                                         
{'loss': 1.6792, 'grad_norm': 7.063235759735107, 'learning_rate': 3.1443120187018895e-06, 'epoch': 0.08}

 85%|████████▍ | 8467/10000 [21:32:51<3:02:56,  7.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6880781650543213, dino_loss: 0.5, depth_loss: 0.05317424237728119, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8478771448135376, dino_loss: 0.64453125, depth_loss: 0.08046033978462219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8468/10000 [21:32:59<3:09:41,  7.43s/it]
                                                         
{'loss': 1.8146, 'grad_norm': 4.061322212219238, 'learning_rate': 3.140299279665457e-06, 'epoch': 0.08}

 85%|████████▍ | 8468/10000 [21:32:59<3:09:41,  7.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8904364109039307, dino_loss: 0.765625, depth_loss: 0.05455060675740242, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8627806901931763, dino_loss: 0.73046875, depth_loss: 0.06292029470205307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8469/10000 [21:33:06<3:09:31,  7.43s/it]
                                                         
{'loss': 2.8644, 'grad_norm': 3.732560634613037, 'learning_rate': 3.136288931173026e-06, 'epoch': 0.08}

 85%|████████▍ | 8469/10000 [21:33:06<3:09:31,  7.43s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.6722528338432312, dino_loss: 0.671875, depth_loss: 0.05549655482172966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8318461775779724, dino_loss: 0.6875, depth_loss: 0.03785867989063263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8470/10000 [21:33:15<3:19:15,  7.81s/it]
                                                         
{'loss': 1.5691, 'grad_norm': 3.7325196266174316, 'learning_rate': 3.1322809736631654e-06, 'epoch': 0.08}

 85%|████████▍ | 8470/10000 [21:33:15<3:19:15,  7.81s/it]the number of masks: 8
seg_loss: 0.8515774011611938, dino_loss: 0.62109375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6146070957183838, dino_loss: 0.8125, depth_loss: 0.05166231095790863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8471/10000 [21:33:20<2:57:23,  6.96s/it]
                                                         
{'loss': 1.8095, 'grad_norm': 9.58705997467041, 'learning_rate': 3.12827540757418e-06, 'epoch': 0.08}

 85%|████████▍ | 8471/10000 [21:33:20<2:57:23,  6.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9262657165527344, dino_loss: 0.68359375, depth_loss: 0.05165479704737663, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0738506317138672, dino_loss: 0.69921875, depth_loss: 0.0600297637283802, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8472/10000 [21:33:29<3:08:24,  7.40s/it]
                                                         
{'loss': 2.1525, 'grad_norm': 4.291438579559326, 'learning_rate': 3.1242722333441193e-06, 'epoch': 0.08}

 85%|████████▍ | 8472/10000 [21:33:29<3:08:24,  7.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8898810148239136, dino_loss: 0.69921875, depth_loss: 0.08296653628349304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8888729810714722, dino_loss: 0.6328125, depth_loss: 0.05906211584806442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8473/10000 [21:33:38<3:22:48,  7.97s/it]
                                                         
{'loss': 2.6174, 'grad_norm': 6.285199165344238, 'learning_rate': 3.12027145141075e-06, 'epoch': 0.08}

 85%|████████▍ | 8473/10000 [21:33:38<3:22:48,  7.97s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.831519365310669, dino_loss: 0.5859375, depth_loss: 0.050547562539577484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.43420448899269104, dino_loss: 0.51171875, depth_loss: 0.05431472510099411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8474/10000 [21:33:45<3:13:22,  7.60s/it]
                                                         
{'loss': 2.3689, 'grad_norm': 3.3165078163146973, 'learning_rate': 3.1162730622116054e-06, 'epoch': 0.08}

 85%|████████▍ | 8474/10000 [21:33:45<3:13:22,  7.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7192238569259644, dino_loss: 0.78515625, depth_loss: 0.04489715397357941, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.4578762650489807, dino_loss: 0.734375, depth_loss: 0.0710071474313736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8475/10000 [21:33:52<3:11:14,  7.52s/it]
                                                         
{'loss': 2.2138, 'grad_norm': 5.959909439086914, 'learning_rate': 3.11227706618393e-06, 'epoch': 0.08}

 85%|████████▍ | 8475/10000 [21:33:52<3:11:14,  7.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8723781108856201, dino_loss: 0.66796875, depth_loss: 0.05727031081914902, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8894409537315369, dino_loss: 0.67578125, depth_loss: 0.07145949453115463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8476/10000 [21:34:01<3:23:26,  8.01s/it]
                                                         
{'loss': 2.3715, 'grad_norm': 6.060714244842529, 'learning_rate': 3.1082834637647274e-06, 'epoch': 0.08}

 85%|████████▍ | 8476/10000 [21:34:01<3:23:26,  8.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7572047114372253, dino_loss: 0.71484375, depth_loss: 0.061131954193115234, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9660937786102295, dino_loss: 0.57421875, depth_loss: 0.0362464115023613, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8477/10000 [21:34:09<3:20:56,  7.92s/it]
                                                         
{'loss': 2.3563, 'grad_norm': 9.803624153137207, 'learning_rate': 3.104292255390734e-06, 'epoch': 0.08}

 85%|████████▍ | 8477/10000 [21:34:09<3:20:56,  7.92s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9047924876213074, dino_loss: 0.64453125, depth_loss: 0.0409691147506237, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7910376787185669, dino_loss: 0.70703125, depth_loss: 0.058401405811309814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8478/10000 [21:34:17<3:21:07,  7.93s/it]
                                                         
{'loss': 2.0832, 'grad_norm': 5.125062465667725, 'learning_rate': 3.100303441498423e-06, 'epoch': 0.08}

 85%|████████▍ | 8478/10000 [21:34:17<3:21:07,  7.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1167933940887451, dino_loss: 0.80859375, depth_loss: 0.06095077097415924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.843198299407959, dino_loss: 0.671875, depth_loss: 0.0751132220029831, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8479/10000 [21:34:24<3:17:01,  7.77s/it]
                                                         
{'loss': 2.4603, 'grad_norm': 8.310014724731445, 'learning_rate': 3.096317022523998e-06, 'epoch': 0.08}

 85%|████████▍ | 8479/10000 [21:34:24<3:17:01,  7.77s/it]the number of masks: 8
seg_loss: 1.1315386295318604, dino_loss: 0.69921875, depth_loss: 0.05393577367067337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8877654075622559, dino_loss: 0.68359375, depth_loss: 0.05062715336680412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8480/10000 [21:34:32<3:16:18,  7.75s/it]
                                                         
{'loss': 2.6177, 'grad_norm': 3.7794349193573, 'learning_rate': 3.092332998903416e-06, 'epoch': 0.08}

 85%|████████▍ | 8480/10000 [21:34:32<3:16:18,  7.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8055053949356079, dino_loss: 0.625, depth_loss: 0.055083904415369034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9232195615768433, dino_loss: 0.6875, depth_loss: 0.05825144052505493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8481/10000 [21:34:40<3:21:15,  7.95s/it]
                                                         
{'loss': 2.5503, 'grad_norm': 2.748383045196533, 'learning_rate': 3.088351371072354e-06, 'epoch': 0.08}

 85%|████████▍ | 8481/10000 [21:34:40<3:21:15,  7.95s/it]the number of masks: 8
the number of masks: 2
the number of masks: 8
seg_loss: 0.5652337074279785, dino_loss: 0.5859375, depth_loss: 0.05880960822105408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.737756609916687, dino_loss: 0.5859375, depth_loss: 0.040555305778980255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8482/10000 [21:34:49<3:26:41,  8.17s/it]
                                                         
{'loss': 1.7321, 'grad_norm': 3.505880832672119, 'learning_rate': 3.0843721394662407e-06, 'epoch': 0.08}

 85%|████████▍ | 8482/10000 [21:34:49<3:26:41,  8.17s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9443479776382446, dino_loss: 0.6796875, depth_loss: 0.06334897130727768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6979638934135437, dino_loss: 0.67578125, depth_loss: 0.09884025156497955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8483/10000 [21:34:58<3:30:42,  8.33s/it]
                                                         
{'loss': 1.8863, 'grad_norm': 5.987292289733887, 'learning_rate': 3.0803953045202448e-06, 'epoch': 0.08}

 85%|████████▍ | 8483/10000 [21:34:58<3:30:42,  8.33s/it]the number of masks: 8
seg_loss: 0.9529906511306763, dino_loss: 0.7109375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9910730719566345, dino_loss: 0.65625, depth_loss: 0.08499102294445038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8484/10000 [21:35:04<3:13:07,  7.64s/it]
                                                         
{'loss': 2.4209, 'grad_norm': 5.846952438354492, 'learning_rate': 3.076420866669266e-06, 'epoch': 0.08}

 85%|████████▍ | 8484/10000 [21:35:04<3:13:07,  7.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8764334321022034, dino_loss: 0.63671875, depth_loss: 0.03052413836121559, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9190660715103149, dino_loss: 0.60546875, depth_loss: 0.07252945750951767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8485/10000 [21:35:10<3:04:52,  7.32s/it]
                                                         
{'loss': 2.5249, 'grad_norm': 2.7415146827697754, 'learning_rate': 3.072448826347932e-06, 'epoch': 0.08}

 85%|████████▍ | 8485/10000 [21:35:10<3:04:52,  7.32s/it]the number of masks: 8
seg_loss: 0.9340996742248535, dino_loss: 0.71875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8362367153167725, dino_loss: 0.69921875, depth_loss: 0.051435429602861404, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8486/10000 [21:35:17<3:00:09,  7.14s/it]
                                                         
{'loss': 2.8061, 'grad_norm': 3.4117941856384277, 'learning_rate': 3.068479183990636e-06, 'epoch': 0.08}

 85%|████████▍ | 8486/10000 [21:35:17<3:00:09,  7.14s/it]the number of masks: 8
seg_loss: 0.725532054901123, dino_loss: 0.6953125, depth_loss: 0.060652315616607666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7923485636711121, dino_loss: 0.65625, depth_loss: 0.05581418052315712, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8487/10000 [21:35:24<3:02:15,  7.23s/it]
                                                         
{'loss': 1.7353, 'grad_norm': 5.228403091430664, 'learning_rate': 3.0645119400314755e-06, 'epoch': 0.08}

 85%|████████▍ | 8487/10000 [21:35:24<3:02:15,  7.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.914832592010498, dino_loss: 0.64453125, depth_loss: 0.0600382536649704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8527935743331909, dino_loss: 0.57421875, depth_loss: 0.0636390894651413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8488/10000 [21:35:31<3:00:37,  7.17s/it]
                                                         
{'loss': 2.2446, 'grad_norm': 3.086851119995117, 'learning_rate': 3.060547094904309e-06, 'epoch': 0.08}

 85%|████████▍ | 8488/10000 [21:35:31<3:00:37,  7.17s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7476615309715271, dino_loss: 0.0, depth_loss: 0.05266936868429184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.967510461807251, dino_loss: 0.703125, depth_loss: 0.07941946387290955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8489/10000 [21:35:41<3:15:05,  7.75s/it]
                                                         
{'loss': 1.3452, 'grad_norm': 3.6395952701568604, 'learning_rate': 3.056584649042729e-06, 'epoch': 0.08}

 85%|████████▍ | 8489/10000 [21:35:41<3:15:05,  7.75s/it]seg_loss: 0.0, dino_loss: 0.74609375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9014820456504822, dino_loss: 0.6015625, depth_loss: 0.10946273058652878, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8490/10000 [21:35:45<2:48:22,  6.69s/it]
                                                         
{'loss': 1.6723, 'grad_norm': 10.021724700927734, 'learning_rate': 3.0526246028800637e-06, 'epoch': 0.08}

 85%|████████▍ | 8490/10000 [21:35:45<2:48:22,  6.69s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1526312828063965, dino_loss: 0.70703125, depth_loss: 0.06349622458219528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7323757410049438, dino_loss: 0.0, depth_loss: 0.03719954565167427, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8491/10000 [21:35:53<2:59:03,  7.12s/it]
                                                         
{'loss': 2.4155, 'grad_norm': 6.152700424194336, 'learning_rate': 3.048666956849369e-06, 'epoch': 0.08}

 85%|████████▍ | 8491/10000 [21:35:53<2:59:03,  7.12s/it]the number of masks: 8
seg_loss: 0.6880069375038147, dino_loss: 0.6328125, depth_loss: 0.06858763843774796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8084481954574585, dino_loss: 0.6875, depth_loss: 0.05376144498586655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8492/10000 [21:35:59<2:52:51,  6.88s/it]
                                                         
{'loss': 2.1894, 'grad_norm': 4.491243362426758, 'learning_rate': 3.044711711383455e-06, 'epoch': 0.08}

 85%|████████▍ | 8492/10000 [21:35:59<2:52:51,  6.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6171228885650635, dino_loss: 0.64453125, depth_loss: 0.06338302791118622, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8534843325614929, dino_loss: 0.6875, depth_loss: 0.058415841311216354, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8493/10000 [21:36:08<3:04:42,  7.35s/it]
                                                         
{'loss': 1.9016, 'grad_norm': 3.8279638290405273, 'learning_rate': 3.040758866914861e-06, 'epoch': 0.08}

 85%|████████▍ | 8493/10000 [21:36:08<3:04:42,  7.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7757384181022644, dino_loss: 0.78125, depth_loss: 0.060999494045972824, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7857012748718262, dino_loss: 0.6953125, depth_loss: 0.054611627012491226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8494/10000 [21:36:15<3:04:39,  7.36s/it]
                                                         
{'loss': 2.5216, 'grad_norm': 4.761014938354492, 'learning_rate': 3.036808423875859e-06, 'epoch': 0.08}

 85%|████████▍ | 8494/10000 [21:36:15<3:04:39,  7.36s/it]the number of masks: 8
seg_loss: 0.9154573678970337, dino_loss: 0.640625, depth_loss: 0.045956917107105255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7905696630477905, dino_loss: 0.6484375, depth_loss: 0.08641334623098373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8495/10000 [21:36:23<3:09:13,  7.54s/it]
                                                         
{'loss': 2.3061, 'grad_norm': 7.861096382141113, 'learning_rate': 3.0328603826984658e-06, 'epoch': 0.08}

 85%|████████▍ | 8495/10000 [21:36:23<3:09:13,  7.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9736180305480957, dino_loss: 0.66796875, depth_loss: 0.03183900564908981, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.703125, depth_loss: 0.0615919828414917, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8496/10000 [21:36:30<3:04:58,  7.38s/it]
                                                         
{'loss': 1.885, 'grad_norm': 3.467390775680542, 'learning_rate': 3.0289147438144346e-06, 'epoch': 0.08}

 85%|████████▍ | 8496/10000 [21:36:30<3:04:58,  7.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6466712951660156, dino_loss: 0.59765625, depth_loss: 0.03783609718084335, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7243248820304871, dino_loss: 0.58984375, depth_loss: 0.04068348929286003, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8497/10000 [21:36:39<3:17:10,  7.87s/it]
                                                         
{'loss': 2.2451, 'grad_norm': 4.215323448181152, 'learning_rate': 3.024971507655261e-06, 'epoch': 0.08}

 85%|████████▍ | 8497/10000 [21:36:39<3:17:10,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8285142183303833, dino_loss: 0.671875, depth_loss: 0.07167854905128479, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9176408052444458, dino_loss: 0.66015625, depth_loss: 0.04304763302206993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8498/10000 [21:36:48<3:28:26,  8.33s/it]
                                                         
{'loss': 1.9752, 'grad_norm': 4.550318717956543, 'learning_rate': 3.021030674652156e-06, 'epoch': 0.08}

 85%|████████▍ | 8498/10000 [21:36:49<3:28:26,  8.33s/it]the number of masks: 8
seg_loss: 0.7880447506904602, dino_loss: 0.75, depth_loss: 0.07664009928703308, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.34654700756073, dino_loss: 0.66015625, depth_loss: 0.056024208664894104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▍ | 8499/10000 [21:36:55<3:12:24,  7.69s/it]
                                                         
{'loss': 2.1921, 'grad_norm': 5.131526947021484, 'learning_rate': 3.0170922452360973e-06, 'epoch': 0.08}

 85%|████████▍ | 8499/10000 [21:36:55<3:12:24,  7.69s/it]the number of masks: 8
the number of masks: 4
seg_loss: 0.7144447565078735, dino_loss: 0.6953125, depth_loss: 0.04834790527820587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7716825008392334, dino_loss: 0.6484375, depth_loss: 0.07391232252120972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8500/10000 [21:37:01<3:01:54,  7.28s/it]
                                                         
{'loss': 1.5701, 'grad_norm': 3.7609450817108154, 'learning_rate': 3.013156219837776e-06, 'epoch': 0.08}

 85%|████████▌ | 8500/10000 [21:37:01<3:01:54,  7.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8388963341712952, dino_loss: 0.75, depth_loss: 0.06092908978462219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9382680654525757, dino_loss: 0.68359375, depth_loss: 0.09964711219072342, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8501/10000 [21:37:10<3:15:35,  7.83s/it]
                                                         
{'loss': 2.2235, 'grad_norm': 3.9370949268341064, 'learning_rate': 3.0092225988876316e-06, 'epoch': 0.08}

 85%|████████▌ | 8501/10000 [21:37:10<3:15:35,  7.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8021844625473022, dino_loss: 0.671875, depth_loss: 0.06401955336332321, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8577049970626831, dino_loss: 0.6953125, depth_loss: 0.05379953980445862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8502/10000 [21:37:19<3:22:27,  8.11s/it]
                                                         
{'loss': 2.2407, 'grad_norm': 3.32377028465271, 'learning_rate': 3.005291382815842e-06, 'epoch': 0.08}

 85%|████████▌ | 8502/10000 [21:37:19<3:22:27,  8.11s/it]the number of masks: 8
seg_loss: 0.42780601978302, dino_loss: 0.498046875, depth_loss: 0.0349113829433918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.764693021774292, dino_loss: 0.66796875, depth_loss: 0.0552000030875206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8503/10000 [21:37:26<3:15:58,  7.85s/it]
                                                         
{'loss': 1.6456, 'grad_norm': 2.3525688648223877, 'learning_rate': 3.001362572052324e-06, 'epoch': 0.08}

 85%|████████▌ | 8503/10000 [21:37:26<3:15:58,  7.85s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5520883202552795, dino_loss: 0.0, depth_loss: 0.04928448796272278, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6796875, depth_loss: 0.04922466725111008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8504/10000 [21:37:32<3:01:37,  7.28s/it]
                                                         
{'loss': 1.4619, 'grad_norm': 2.733607530593872, 'learning_rate': 2.9974361670267153e-06, 'epoch': 0.08}

 85%|████████▌ | 8504/10000 [21:37:32<3:01:37,  7.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5617250204086304, dino_loss: 0.60546875, depth_loss: 0.03619686886668205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 2
the number of masks: 8
seg_loss: 0.8017507791519165, dino_loss: 0.6796875, depth_loss: 0.0740811675786972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8505/10000 [21:37:41<3:13:14,  7.76s/it]
                                                         
{'loss': 2.4209, 'grad_norm': 10.801454544067383, 'learning_rate': 2.9935121681684138e-06, 'epoch': 0.08}

 85%|████████▌ | 8505/10000 [21:37:41<3:13:14,  7.76s/it]the number of masks: 8
the number of masks: 7
the number of masks: 8
the number of masks: 8
seg_loss: 0.7837540507316589, dino_loss: 0.69140625, depth_loss: 0.0548415407538414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9938068389892578, dino_loss: 0.703125, depth_loss: 0.054994985461235046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8506/10000 [21:37:53<3:42:50,  8.95s/it]
                                                         
{'loss': 2.612, 'grad_norm': 2.8137011528015137, 'learning_rate': 2.9895905759065285e-06, 'epoch': 0.08}

 85%|████████▌ | 8506/10000 [21:37:53<3:42:50,  8.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8421694040298462, dino_loss: 0.671875, depth_loss: 0.059338800609111786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0435901880264282, dino_loss: 0.66796875, depth_loss: 0.0614510104060173, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8507/10000 [21:37:59<3:23:44,  8.19s/it]
                                                         
{'loss': 2.6508, 'grad_norm': 3.2710909843444824, 'learning_rate': 2.9856713906699254e-06, 'epoch': 0.08}

 85%|████████▌ | 8507/10000 [21:37:59<3:23:44,  8.19s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7266358137130737, dino_loss: 0.640625, depth_loss: 0.07581017911434174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7674996852874756, dino_loss: 0.71484375, depth_loss: 0.05448140949010849, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8508/10000 [21:38:09<3:38:29,  8.79s/it]
                                                         
{'loss': 2.3802, 'grad_norm': 2.3744516372680664, 'learning_rate': 2.9817546128872027e-06, 'epoch': 0.08}

 85%|████████▌ | 8508/10000 [21:38:09<3:38:29,  8.79s/it]the number of masks: 8
seg_loss: 0.7254094481468201, dino_loss: 0.62109375, depth_loss: 0.05020451173186302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7516224980354309, dino_loss: 0.609375, depth_loss: 0.04930835962295532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8509/10000 [21:38:15<3:18:34,  7.99s/it]
                                                         
{'loss': 1.482, 'grad_norm': 3.6670169830322266, 'learning_rate': 2.977840242986693e-06, 'epoch': 0.08}

 85%|████████▌ | 8509/10000 [21:38:15<3:18:34,  7.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9611114263534546, dino_loss: 0.6875, depth_loss: 0.06163749098777771, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9300891160964966, dino_loss: 0.671875, depth_loss: 0.04835749417543411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8510/10000 [21:38:27<3:43:05,  8.98s/it]
                                                         
{'loss': 2.388, 'grad_norm': 3.6315414905548096, 'learning_rate': 2.9739282813964627e-06, 'epoch': 0.08}

 85%|████████▌ | 8510/10000 [21:38:27<3:43:05,  8.98s/it]the number of masks: 8
seg_loss: 0.759915828704834, dino_loss: 0.703125, depth_loss: 0.07473805546760559, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 4
the number of masks: 8
seg_loss: 0.8058680295944214, dino_loss: 0.61328125, depth_loss: 0.062185414135456085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8511/10000 [21:38:34<3:30:21,  8.48s/it]
                                                         
{'loss': 2.2179, 'grad_norm': 6.671772003173828, 'learning_rate': 2.9700187285443242e-06, 'epoch': 0.08}

 85%|████████▌ | 8511/10000 [21:38:34<3:30:21,  8.48s/it]the number of masks: 8
seg_loss: 0.9332484602928162, dino_loss: 0.66015625, depth_loss: 0.07410844415426254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8528217077255249, dino_loss: 0.76953125, depth_loss: 0.04483340308070183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8512/10000 [21:38:40<3:15:13,  7.87s/it]
                                                         
{'loss': 2.448, 'grad_norm': 2.8352553844451904, 'learning_rate': 2.9661115848578114e-06, 'epoch': 0.08}

 85%|████████▌ | 8512/10000 [21:38:40<3:15:13,  7.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6287554502487183, dino_loss: 0.56640625, depth_loss: 0.03577694669365883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8721311092376709, dino_loss: 0.66796875, depth_loss: 0.04699018597602844, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8513/10000 [21:38:47<3:08:14,  7.60s/it]
                                                         
{'loss': 2.1205, 'grad_norm': 5.02268123626709, 'learning_rate': 2.962206850764207e-06, 'epoch': 0.08}

 85%|████████▌ | 8513/10000 [21:38:47<3:08:14,  7.60s/it]the number of masks: 8
seg_loss: 0.886852502822876, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.848701000213623, dino_loss: 0.6484375, depth_loss: 0.07381324470043182, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8514/10000 [21:38:53<2:50:30,  6.88s/it]
                                                         
{'loss': 2.1705, 'grad_norm': 7.747966289520264, 'learning_rate': 2.9583045266905277e-06, 'epoch': 0.08}

 85%|████████▌ | 8514/10000 [21:38:53<2:50:30,  6.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0044478178024292, dino_loss: 0.7421875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8754978179931641, dino_loss: 0.66796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8515/10000 [21:39:01<2:59:21,  7.25s/it]
                                                         
{'loss': 2.3258, 'grad_norm': 14.34421157836914, 'learning_rate': 2.954404613063527e-06, 'epoch': 0.08}

 85%|████████▌ | 8515/10000 [21:39:01<2:59:21,  7.25s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9081587195396423, dino_loss: 0.7109375, depth_loss: 0.04344763979315758, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7819826006889343, dino_loss: 0.640625, depth_loss: 0.05317537114024162, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8516/10000 [21:39:09<3:05:26,  7.50s/it]
                                                         
{'loss': 2.1535, 'grad_norm': 10.345656394958496, 'learning_rate': 2.9505071103097e-06, 'epoch': 0.08}

 85%|████████▌ | 8516/10000 [21:39:09<3:05:26,  7.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7571786642074585, dino_loss: 0.7109375, depth_loss: 0.04047854244709015, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8920383453369141, dino_loss: 0.72265625, depth_loss: 0.0532245896756649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8517/10000 [21:39:16<3:00:41,  7.31s/it]
                                                         
{'loss': 2.1451, 'grad_norm': 2.6077442169189453, 'learning_rate': 2.9466120188552547e-06, 'epoch': 0.08}

 85%|████████▌ | 8517/10000 [21:39:16<3:00:41,  7.31s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.774665355682373, dino_loss: 0.6953125, depth_loss: 0.0662069246172905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8956432342529297, dino_loss: 0.7109375, depth_loss: 0.05602773651480675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8518/10000 [21:39:27<3:31:04,  8.55s/it]
                                                         
{'loss': 2.3948, 'grad_norm': 3.3694095611572266, 'learning_rate': 2.942719339126171e-06, 'epoch': 0.08}

 85%|████████▌ | 8518/10000 [21:39:27<3:31:04,  8.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8192160129547119, dino_loss: 0.64453125, depth_loss: 0.0599978044629097, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6339073777198792, dino_loss: 0.6328125, depth_loss: 0.05698785185813904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8519/10000 [21:39:36<3:36:31,  8.77s/it]
                                                         
{'loss': 1.9383, 'grad_norm': 2.7186007499694824, 'learning_rate': 2.9388290715481326e-06, 'epoch': 0.08}

 85%|████████▌ | 8519/10000 [21:39:36<3:36:31,  8.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7956908941268921, dino_loss: 0.7265625, depth_loss: 0.06064474955201149, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7544297575950623, dino_loss: 0.5546875, depth_loss: 0.04606682062149048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8520/10000 [21:39:46<3:45:19,  9.13s/it]
                                                         
{'loss': 1.7675, 'grad_norm': 6.170312881469727, 'learning_rate': 2.9349412165465773e-06, 'epoch': 0.08}

 85%|████████▌ | 8520/10000 [21:39:46<3:45:19,  9.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7149496078491211, dino_loss: 0.68359375, depth_loss: 0.08713452517986298, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7586848139762878, dino_loss: 0.71484375, depth_loss: 0.0640350878238678, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8521/10000 [21:39:55<3:41:20,  8.98s/it]
                                                         
{'loss': 2.2423, 'grad_norm': 2.9289603233337402, 'learning_rate': 2.931055774546676e-06, 'epoch': 0.08}

 85%|████████▌ | 8521/10000 [21:39:55<3:41:20,  8.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9403361678123474, dino_loss: 0.6640625, depth_loss: 0.05563798546791077, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9619913101196289, dino_loss: 0.6640625, depth_loss: 0.06598590314388275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8522/10000 [21:40:04<3:38:51,  8.88s/it]
                                                         
{'loss': 2.7607, 'grad_norm': 4.377976417541504, 'learning_rate': 2.927172745973339e-06, 'epoch': 0.08}

 85%|████████▌ | 8522/10000 [21:40:04<3:38:51,  8.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8108221888542175, dino_loss: 0.6640625, depth_loss: 0.05836297571659088, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.801832377910614, dino_loss: 0.58203125, depth_loss: 0.061476461589336395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8523/10000 [21:40:12<3:33:52,  8.69s/it]
                                                         
{'loss': 2.0923, 'grad_norm': 5.662158966064453, 'learning_rate': 2.923292131251201e-06, 'epoch': 0.08}

 85%|████████▌ | 8523/10000 [21:40:12<3:33:52,  8.69s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8363842964172363, dino_loss: 0.68359375, depth_loss: 0.07357028871774673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8697227239608765, dino_loss: 0.68359375, depth_loss: 0.0512729212641716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8524/10000 [21:40:22<3:45:47,  9.18s/it]
                                                         
{'loss': 2.4744, 'grad_norm': 2.9185094833374023, 'learning_rate': 2.9194139308046486e-06, 'epoch': 0.08}

 85%|████████▌ | 8524/10000 [21:40:22<3:45:47,  9.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7595318555831909, dino_loss: 0.640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7913649678230286, dino_loss: 0.66015625, depth_loss: 0.06499677896499634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8525/10000 [21:40:29<3:28:41,  8.49s/it]
                                                         
{'loss': 2.0502, 'grad_norm': 3.2843029499053955, 'learning_rate': 2.9155381450577863e-06, 'epoch': 0.08}

 85%|████████▌ | 8525/10000 [21:40:29<3:28:41,  8.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7297672629356384, dino_loss: 0.625, depth_loss: 0.046144038438797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6687130331993103, dino_loss: 0.5234375, depth_loss: 0.04251418262720108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8526/10000 [21:40:38<3:33:22,  8.69s/it]
                                                         
{'loss': 1.3588, 'grad_norm': 2.9042439460754395, 'learning_rate': 2.9116647744344694e-06, 'epoch': 0.08}

 85%|████████▌ | 8526/10000 [21:40:38<3:33:22,  8.69s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9160373210906982, dino_loss: 0.703125, depth_loss: 0.05448121577501297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9539892077445984, dino_loss: 0.65234375, depth_loss: 0.06706506013870239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8527/10000 [21:40:44<3:14:33,  7.92s/it]
                                                         
{'loss': 2.2943, 'grad_norm': 4.694096088409424, 'learning_rate': 2.9077938193582844e-06, 'epoch': 0.08}

 85%|████████▌ | 8527/10000 [21:40:44<3:14:33,  7.92s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9642225503921509, dino_loss: 0.64453125, depth_loss: 0.06636010110378265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8633503913879395, dino_loss: 0.6328125, depth_loss: 0.07247054576873779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8528/10000 [21:40:53<3:22:46,  8.27s/it]
                                                         
{'loss': 2.3709, 'grad_norm': 3.37469220161438, 'learning_rate': 2.9039252802525535e-06, 'epoch': 0.08}

 85%|████████▌ | 8528/10000 [21:40:53<3:22:46,  8.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8533729314804077, dino_loss: 0.68359375, depth_loss: 0.0769016295671463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7410577535629272, dino_loss: 0.71484375, depth_loss: 0.06829283386468887, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8529/10000 [21:41:04<3:36:12,  8.82s/it]
                                                         
{'loss': 2.5326, 'grad_norm': 3.6530323028564453, 'learning_rate': 2.9000591575403303e-06, 'epoch': 0.08}

 85%|████████▌ | 8529/10000 [21:41:04<3:36:12,  8.82s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7546308040618896, dino_loss: 0.6875, depth_loss: 0.08112701773643494, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.42483392357826233, dino_loss: 0.62890625, depth_loss: 0.041368283331394196, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8530/10000 [21:41:10<3:16:18,  8.01s/it]
                                                         
{'loss': 1.6884, 'grad_norm': 9.687313079833984, 'learning_rate': 2.896195451644415e-06, 'epoch': 0.08}

 85%|████████▌ | 8530/10000 [21:41:10<3:16:18,  8.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0052165985107422, dino_loss: 0.6953125, depth_loss: 0.0441046766936779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.69381183385849, dino_loss: 0.63671875, depth_loss: 0.060879893600940704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8531/10000 [21:41:17<3:08:54,  7.72s/it]
                                                         
{'loss': 2.082, 'grad_norm': 3.422800064086914, 'learning_rate': 2.8923341629873286e-06, 'epoch': 0.08}

 85%|████████▌ | 8531/10000 [21:41:17<3:08:54,  7.72s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.773099422454834, dino_loss: 0.56640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.029924750328064, dino_loss: 0.68359375, depth_loss: 0.09484941512346268, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8532/10000 [21:41:24<3:07:26,  7.66s/it]
                                                         
{'loss': 2.6053, 'grad_norm': 6.042764663696289, 'learning_rate': 2.888475291991344e-06, 'epoch': 0.08}

 85%|████████▌ | 8532/10000 [21:41:24<3:07:26,  7.66s/it]the number of masks: 8
seg_loss: 1.0616884231567383, dino_loss: 0.66015625, depth_loss: 0.08226673305034637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8169282674789429, dino_loss: 0.70703125, depth_loss: 0.06733278185129166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8533/10000 [21:41:31<3:01:58,  7.44s/it]
                                                         
{'loss': 2.4323, 'grad_norm': 5.573849201202393, 'learning_rate': 2.8846188390784485e-06, 'epoch': 0.08}

 85%|████████▌ | 8533/10000 [21:41:31<3:01:58,  7.44s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0455721616744995, dino_loss: 0.67578125, depth_loss: 0.06431309878826141, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9463909864425659, dino_loss: 0.6484375, depth_loss: 0.059378985315561295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8534/10000 [21:41:38<2:54:45,  7.15s/it]
                                                         
{'loss': 2.3765, 'grad_norm': 3.590723991394043, 'learning_rate': 2.8807648046703968e-06, 'epoch': 0.08}

 85%|████████▌ | 8534/10000 [21:41:38<2:54:45,  7.15s/it]the number of masks: 8
seg_loss: 1.364710807800293, dino_loss: 0.6796875, depth_loss: 0.07360713928937912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8562197089195251, dino_loss: 0.625, depth_loss: 0.051798950880765915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8535/10000 [21:41:45<2:55:31,  7.19s/it]
                                                         
{'loss': 2.0547, 'grad_norm': 6.653773784637451, 'learning_rate': 2.876913189188643e-06, 'epoch': 0.08}

 85%|████████▌ | 8535/10000 [21:41:45<2:55:31,  7.19s/it]the number of masks: 8
seg_loss: 0.40879175066947937, dino_loss: 0.578125, depth_loss: 0.024954156950116158, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9459825158119202, dino_loss: 0.68359375, depth_loss: 0.0950682982802391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8536/10000 [21:41:50<2:40:53,  6.59s/it]
                                                         
{'loss': 2.0292, 'grad_norm': 4.050577163696289, 'learning_rate': 2.8730639930544034e-06, 'epoch': 0.08}

 85%|████████▌ | 8536/10000 [21:41:50<2:40:53,  6.59s/it]the number of masks: 8
seg_loss: 0.7197263836860657, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7330965399742126, dino_loss: 0.6875, depth_loss: 0.08666838705539703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8537/10000 [21:41:57<2:44:14,  6.74s/it]
                                                         
{'loss': 2.2073, 'grad_norm': 7.09763765335083, 'learning_rate': 2.8692172166886215e-06, 'epoch': 0.08}

 85%|████████▌ | 8537/10000 [21:41:57<2:44:14,  6.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8883754014968872, dino_loss: 0.703125, depth_loss: 0.054109275341033936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6822241544723511, dino_loss: 0.640625, depth_loss: 0.0655750185251236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8538/10000 [21:42:07<3:09:48,  7.79s/it]
                                                         
{'loss': 1.9741, 'grad_norm': 4.436784267425537, 'learning_rate': 2.8653728605119695e-06, 'epoch': 0.08}

 85%|████████▌ | 8538/10000 [21:42:07<3:09:48,  7.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9647781848907471, dino_loss: 0.6796875, depth_loss: 0.0710706114768982, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0522698163986206, dino_loss: 0.6484375, depth_loss: 0.06398062407970428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8539/10000 [21:42:16<3:12:20,  7.90s/it]
                                                         
{'loss': 2.4638, 'grad_norm': 7.52802848815918, 'learning_rate': 2.861530924944858e-06, 'epoch': 0.08}

 85%|████████▌ | 8539/10000 [21:42:16<3:12:20,  7.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7687004804611206, dino_loss: 0.6171875, depth_loss: 0.06694004684686661, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8977869749069214, dino_loss: 0.6328125, depth_loss: 0.08461583405733109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8540/10000 [21:42:25<3:24:14,  8.39s/it]
                                                         
{'loss': 2.3395, 'grad_norm': 3.443460702896118, 'learning_rate': 2.8576914104074425e-06, 'epoch': 0.08}

 85%|████████▌ | 8540/10000 [21:42:25<3:24:14,  8.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.897983193397522, dino_loss: 0.69140625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7314432859420776, dino_loss: 0.69921875, depth_loss: 0.05651161074638367, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8541/10000 [21:42:34<3:29:34,  8.62s/it]
                                                         
{'loss': 2.2545, 'grad_norm': 3.708770275115967, 'learning_rate': 2.8538543173196098e-06, 'epoch': 0.08}

 85%|████████▌ | 8541/10000 [21:42:34<3:29:34,  8.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5604808926582336, dino_loss: 0.66015625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.199072003364563, dino_loss: 0.65625, depth_loss: 0.05084416642785072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8542/10000 [21:42:40<3:11:38,  7.89s/it]
                                                         
{'loss': 1.9649, 'grad_norm': 6.0400495529174805, 'learning_rate': 2.850019646100968e-06, 'epoch': 0.08}

 85%|████████▌ | 8542/10000 [21:42:40<3:11:38,  7.89s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8576220273971558, dino_loss: 0.69921875, depth_loss: 0.05734023451805115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8988115191459656, dino_loss: 0.71484375, depth_loss: 0.07196517288684845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8543/10000 [21:42:47<3:02:00,  7.50s/it]
                                                         
{'loss': 2.324, 'grad_norm': 5.005153179168701, 'learning_rate': 2.84618739717088e-06, 'epoch': 0.08}

 85%|████████▌ | 8543/10000 [21:42:47<3:02:00,  7.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6980370879173279, dino_loss: 0.76171875, depth_loss: 0.05372544378042221, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9957157373428345, dino_loss: 0.67578125, depth_loss: 0.0615377351641655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8544/10000 [21:42:56<3:08:55,  7.79s/it]
                                                         
{'loss': 2.0271, 'grad_norm': 4.275967121124268, 'learning_rate': 2.842357570948423e-06, 'epoch': 0.08}

 85%|████████▌ | 8544/10000 [21:42:56<3:08:55,  7.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9073748588562012, dino_loss: 0.6640625, depth_loss: 0.056574657559394836, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.932284951210022, dino_loss: 0.6796875, depth_loss: 0.05971966311335564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8545/10000 [21:43:04<3:10:44,  7.87s/it]
                                                         
{'loss': 2.637, 'grad_norm': 3.8502604961395264, 'learning_rate': 2.838530167852435e-06, 'epoch': 0.08}

 85%|████████▌ | 8545/10000 [21:43:04<3:10:44,  7.87s/it]the number of masks: 8
seg_loss: 1.5690944194793701, dino_loss: 0.68359375, depth_loss: 0.03379188850522041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8551791906356812, dino_loss: 0.67578125, depth_loss: 0.050011470913887024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8546/10000 [21:43:11<3:07:50,  7.75s/it]
                                                         
{'loss': 2.7927, 'grad_norm': 12.256725311279297, 'learning_rate': 2.834705188301459e-06, 'epoch': 0.08}

 85%|████████▌ | 8546/10000 [21:43:11<3:07:50,  7.75s/it]seg_loss: 0.0, dino_loss: 0.6796875, depth_loss: 0.04527868703007698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9323437809944153, dino_loss: 0.7265625, depth_loss: 0.06476330757141113, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8547/10000 [21:43:16<2:49:31,  7.00s/it]
                                                         
{'loss': 1.8771, 'grad_norm': 2.6204655170440674, 'learning_rate': 2.8308826327138103e-06, 'epoch': 0.08}

 85%|████████▌ | 8547/10000 [21:43:16<2:49:31,  7.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8581250905990601, dino_loss: 0.7578125, depth_loss: 0.08769187331199646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7381089925765991, dino_loss: 0.6640625, depth_loss: 0.07754994928836823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8548/10000 [21:43:26<3:11:55,  7.93s/it]
                                                         
{'loss': 2.0149, 'grad_norm': 9.758005142211914, 'learning_rate': 2.827062501507499e-06, 'epoch': 0.08}

 85%|████████▌ | 8548/10000 [21:43:26<3:11:55,  7.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8302404880523682, dino_loss: 0.70703125, depth_loss: 0.06806035339832306, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.886994481086731, dino_loss: 0.0, depth_loss: 0.07496237754821777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 85%|████████▌ | 8549/10000 [21:43:35<3:14:20,  8.04s/it]
                                                         
{'loss': 2.0163, 'grad_norm': 6.365861415863037, 'learning_rate': 2.823244795100302e-06, 'epoch': 0.08}

 85%|████████▌ | 8549/10000 [21:43:35<3:14:20,  8.04s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8445338010787964, dino_loss: 0.73828125, depth_loss: 0.07850906997919083, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9666609764099121, dino_loss: 0.6640625, depth_loss: 0.06769276410341263, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8550/10000 [21:43:42<3:07:31,  7.76s/it]
                                                         
{'loss': 2.3438, 'grad_norm': 3.605922222137451, 'learning_rate': 2.8194295139097048e-06, 'epoch': 0.08}

 86%|████████▌ | 8550/10000 [21:43:42<3:07:31,  7.76s/it]the number of masks: 8
seg_loss: 0.8072694540023804, dino_loss: 0.0, depth_loss: 0.08265054225921631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8257732391357422, dino_loss: 0.5625, depth_loss: 0.04144779592752457, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8551/10000 [21:43:51<3:17:06,  8.16s/it]
                                                         
{'loss': 2.0142, 'grad_norm': 7.971437454223633, 'learning_rate': 2.8156166583529568e-06, 'epoch': 0.08}

 86%|████████▌ | 8551/10000 [21:43:51<3:17:06,  8.16s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7384955883026123, dino_loss: 0.71484375, depth_loss: 0.05487752705812454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0403722524642944, dino_loss: 0.640625, depth_loss: 0.043346866965293884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8552/10000 [21:43:58<3:10:51,  7.91s/it]
                                                         
{'loss': 2.2041, 'grad_norm': 4.125784873962402, 'learning_rate': 2.8118062288470025e-06, 'epoch': 0.08}

 86%|████████▌ | 8552/10000 [21:43:58<3:10:51,  7.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7998226881027222, dino_loss: 0.69140625, depth_loss: 0.06238412484526634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8650588989257812, dino_loss: 0.6328125, depth_loss: 0.05984994024038315, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8553/10000 [21:44:08<3:21:07,  8.34s/it]
                                                         
{'loss': 2.2776, 'grad_norm': 3.8464713096618652, 'learning_rate': 2.8079982258085724e-06, 'epoch': 0.08}

 86%|████████▌ | 8553/10000 [21:44:08<3:21:07,  8.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6638160943984985, dino_loss: 0.5703125, depth_loss: 0.0412679947912693, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7512643337249756, dino_loss: 0.6953125, depth_loss: 0.06261150538921356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8554/10000 [21:44:15<3:14:08,  8.06s/it]
                                                         
{'loss': 2.0034, 'grad_norm': 4.237253665924072, 'learning_rate': 2.804192649654086e-06, 'epoch': 0.08}

 86%|████████▌ | 8554/10000 [21:44:15<3:14:08,  8.06s/it]the number of masks: 8
seg_loss: 0.8223252892494202, dino_loss: 0.68359375, depth_loss: 0.07738790661096573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.45882099866867065, dino_loss: 0.703125, depth_loss: 0.05633863806724548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8555/10000 [21:44:20<2:55:36,  7.29s/it]
                                                         
{'loss': 2.0202, 'grad_norm': 4.235095500946045, 'learning_rate': 2.8003895007997274e-06, 'epoch': 0.08}

 86%|████████▌ | 8555/10000 [21:44:20<2:55:36,  7.29s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8705071210861206, dino_loss: 0.69921875, depth_loss: 0.0947888046503067, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0207679271697998, dino_loss: 0.6796875, depth_loss: 0.0503012053668499, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8556/10000 [21:44:27<2:51:45,  7.14s/it]
                                                         
{'loss': 2.4945, 'grad_norm': 7.004039764404297, 'learning_rate': 2.7965887796613884e-06, 'epoch': 0.08}

 86%|████████▌ | 8556/10000 [21:44:27<2:51:45,  7.14s/it]the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.7712990641593933, dino_loss: 0.6796875, depth_loss: 0.06749515235424042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9442318677902222, dino_loss: 0.63671875, depth_loss: 0.0741310566663742, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8557/10000 [21:44:36<2:59:55,  7.48s/it]
                                                         
{'loss': 1.8919, 'grad_norm': 5.483794212341309, 'learning_rate': 2.79279048665472e-06, 'epoch': 0.08}

 86%|████████▌ | 8557/10000 [21:44:36<2:59:55,  7.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8806130886077881, dino_loss: 0.74609375, depth_loss: 0.05682983621954918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8558/10000 [21:44:42<2:49:18,  7.04s/it]
                                                         
{'loss': 1.4199, 'grad_norm': 8.355859756469727, 'learning_rate': 2.788994622195096e-06, 'epoch': 0.08}

 86%|████████▌ | 8558/10000 [21:44:42<2:49:18,  7.04s/it]the number of masks: 8
seg_loss: 0.9331263899803162, dino_loss: 0.6484375, depth_loss: 0.07992507517337799, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7750723361968994, dino_loss: 0.7421875, depth_loss: 0.05424840375781059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8559/10000 [21:44:48<2:42:50,  6.78s/it]
                                                         
{'loss': 2.5619, 'grad_norm': 1.80043363571167, 'learning_rate': 2.785201186697628e-06, 'epoch': 0.08}

 86%|████████▌ | 8559/10000 [21:44:48<2:42:50,  6.78s/it]the number of masks: 8
seg_loss: 0.4235457181930542, dino_loss: 0.71484375, depth_loss: 0.0700402781367302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7969765067100525, dino_loss: 0.6796875, depth_loss: 0.06938695907592773, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8560/10000 [21:44:54<2:42:35,  6.77s/it]
                                                         
{'loss': 2.1833, 'grad_norm': 5.971434116363525, 'learning_rate': 2.781410180577157e-06, 'epoch': 0.08}

 86%|████████▌ | 8560/10000 [21:44:54<2:42:35,  6.77s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8929721117019653, dino_loss: 0.73828125, depth_loss: 0.10495122522115707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66796875, depth_loss: 0.05919989198446274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8561/10000 [21:45:02<2:49:33,  7.07s/it]
                                                         
{'loss': 1.9178, 'grad_norm': 3.100686550140381, 'learning_rate': 2.7776216042482623e-06, 'epoch': 0.08}

 86%|████████▌ | 8561/10000 [21:45:02<2:49:33,  7.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9162313342094421, dino_loss: 0.6875, depth_loss: 0.05951683595776558, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6797586679458618, dino_loss: 0.6640625, depth_loss: 0.061366718262434006, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8562/10000 [21:45:10<2:51:11,  7.14s/it]
                                                         
{'loss': 2.0892, 'grad_norm': 5.068447589874268, 'learning_rate': 2.7738354581252653e-06, 'epoch': 0.08}

 86%|████████▌ | 8562/10000 [21:45:10<2:51:11,  7.14s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9094361066818237, dino_loss: 0.7265625, depth_loss: 0.07904116064310074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0952829122543335, dino_loss: 0.66796875, depth_loss: 0.05950435996055603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8563/10000 [21:45:17<2:54:57,  7.30s/it]
                                                         
{'loss': 2.6263, 'grad_norm': 2.135249137878418, 'learning_rate': 2.7700517426221982e-06, 'epoch': 0.08}

 86%|████████▌ | 8563/10000 [21:45:17<2:54:57,  7.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.853966474533081, dino_loss: 0.69140625, depth_loss: 0.0715251937508583, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6429146528244019, dino_loss: 0.58203125, depth_loss: 0.027848171070218086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8564/10000 [21:45:27<3:09:03,  7.90s/it]
                                                         
{'loss': 1.9047, 'grad_norm': 2.7135865688323975, 'learning_rate': 2.766270458152856e-06, 'epoch': 0.08}

 86%|████████▌ | 8564/10000 [21:45:27<3:09:03,  7.90s/it]seg_loss: 0.0, dino_loss: 0.72265625, depth_loss: 0.09802208095788956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8342231512069702, dino_loss: 0.0, depth_loss: 0.05710522085428238, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8565/10000 [21:45:31<2:41:58,  6.77s/it]
                                                         
{'loss': 1.7437, 'grad_norm': 10.194496154785156, 'learning_rate': 2.7624916051307405e-06, 'epoch': 0.08}

 86%|████████▌ | 8565/10000 [21:45:31<2:41:58,  6.77s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9684054851531982, dino_loss: 0.765625, depth_loss: 0.06319473683834076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8628774285316467, dino_loss: 0.6796875, depth_loss: 0.03998417779803276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8566/10000 [21:45:38<2:44:12,  6.87s/it]
                                                         
{'loss': 2.4484, 'grad_norm': 5.685079574584961, 'learning_rate': 2.7587151839691184e-06, 'epoch': 0.08}

 86%|████████▌ | 8566/10000 [21:45:38<2:44:12,  6.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6913250684738159, dino_loss: 0.6640625, depth_loss: 0.060377996414899826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6848036050796509, dino_loss: 0.703125, depth_loss: 0.06178038567304611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8567/10000 [21:45:47<2:59:45,  7.53s/it]
                                                         
{'loss': 2.1953, 'grad_norm': 5.477161407470703, 'learning_rate': 2.7549411950809566e-06, 'epoch': 0.08}

 86%|████████▌ | 8567/10000 [21:45:47<2:59:45,  7.53s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9287695288658142, dino_loss: 0.68359375, depth_loss: 0.08000072091817856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.671875, depth_loss: 0.042097173631191254, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8568/10000 [21:45:53<2:47:05,  7.00s/it]
                                                         
{'loss': 1.917, 'grad_norm': 3.6185500621795654, 'learning_rate': 2.751169638878989e-06, 'epoch': 0.08}

 86%|████████▌ | 8568/10000 [21:45:53<2:47:05,  7.00s/it]the number of masks: 8
seg_loss: 0.8239367604255676, dino_loss: 0.703125, depth_loss: 0.05807153508067131, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.766213595867157, dino_loss: 0.6953125, depth_loss: 0.06280653178691864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8569/10000 [21:45:58<2:36:39,  6.57s/it]
                                                         
{'loss': 2.4059, 'grad_norm': 6.703932285308838, 'learning_rate': 2.7474005157756526e-06, 'epoch': 0.08}

 86%|████████▌ | 8569/10000 [21:45:58<2:36:39,  6.57s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7570931911468506, dino_loss: 0.68359375, depth_loss: 0.037810925394296646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6729168891906738, dino_loss: 0.50390625, depth_loss: 0.040299586951732635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8570/10000 [21:46:05<2:40:22,  6.73s/it]
                                                         
{'loss': 1.9872, 'grad_norm': 2.8329906463623047, 'learning_rate': 2.743633826183145e-06, 'epoch': 0.08}

 86%|████████▌ | 8570/10000 [21:46:05<2:40:22,  6.73s/it]the number of masks: 8
seg_loss: 0.9123690128326416, dino_loss: 0.63671875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0154470205307007, dino_loss: 0.66015625, depth_loss: 0.05068446323275566, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8571/10000 [21:46:11<2:35:41,  6.54s/it]
                                                         
{'loss': 2.6265, 'grad_norm': 2.289212465286255, 'learning_rate': 2.7398695705133703e-06, 'epoch': 0.08}

 86%|████████▌ | 8571/10000 [21:46:11<2:35:41,  6.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7594810724258423, dino_loss: 0.69140625, depth_loss: 0.07667484879493713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8785119652748108, dino_loss: 0.6953125, depth_loss: 0.05952576547861099, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8572/10000 [21:46:19<2:41:13,  6.77s/it]
                                                         
{'loss': 1.8819, 'grad_norm': 2.394005060195923, 'learning_rate': 2.736107749178002e-06, 'epoch': 0.08}

 86%|████████▌ | 8572/10000 [21:46:19<2:41:13,  6.77s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0548255443572998, dino_loss: 0.703125, depth_loss: 0.04673329368233681, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1066821813583374, dino_loss: 0.7421875, depth_loss: 0.05864565074443817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8573/10000 [21:46:25<2:36:49,  6.59s/it]
                                                         
{'loss': 2.5437, 'grad_norm': 31.679399490356445, 'learning_rate': 2.7323483625884134e-06, 'epoch': 0.08}

 86%|████████▌ | 8573/10000 [21:46:25<2:36:49,  6.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.031386137008667, dino_loss: 0.64453125, depth_loss: 0.04699205979704857, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8617137670516968, dino_loss: 0.68359375, depth_loss: 0.09152836352586746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8574/10000 [21:46:34<2:57:45,  7.48s/it]
                                                         
{'loss': 2.4337, 'grad_norm': 3.80879282951355, 'learning_rate': 2.7285914111557315e-06, 'epoch': 0.08}

 86%|████████▌ | 8574/10000 [21:46:34<2:57:45,  7.48s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6930444240570068, dino_loss: 0.66796875, depth_loss: 0.07760769128799438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6484375, depth_loss: 0.052510183304548264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8575/10000 [21:46:40<2:46:12,  7.00s/it]
                                                         
{'loss': 1.378, 'grad_norm': 4.131799697875977, 'learning_rate': 2.7248368952908053e-06, 'epoch': 0.08}

 86%|████████▌ | 8575/10000 [21:46:40<2:46:12,  7.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9783985018730164, dino_loss: 0.6875, depth_loss: 0.04688480123877525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9391326904296875, dino_loss: 0.7109375, depth_loss: 0.07283053547143936, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8576/10000 [21:46:50<3:05:31,  7.82s/it]
                                                         
{'loss': 2.3286, 'grad_norm': 2.8120856285095215, 'learning_rate': 2.721084815404229e-06, 'epoch': 0.08}

 86%|████████▌ | 8576/10000 [21:46:50<3:05:31,  7.82s/it]the number of masks: 8
seg_loss: 0.8980125188827515, dino_loss: 0.71484375, depth_loss: 0.09874323010444641, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.673923909664154, dino_loss: 0.59375, depth_loss: 0.042162518948316574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8577/10000 [21:46:57<2:59:24,  7.56s/it]
                                                         
{'loss': 1.8153, 'grad_norm': 4.3599443435668945, 'learning_rate': 2.717335171906313e-06, 'epoch': 0.08}

 86%|████████▌ | 8577/10000 [21:46:57<2:59:24,  7.56s/it]the number of masks: 8
seg_loss: 1.0996110439300537, dino_loss: 0.72265625, depth_loss: 0.06809456646442413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1723445653915405, dino_loss: 0.74609375, depth_loss: 0.08666826784610748, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8578/10000 [21:47:02<2:40:58,  6.79s/it]
                                                         
{'loss': 2.5172, 'grad_norm': 6.050806999206543, 'learning_rate': 2.7135879652071318e-06, 'epoch': 0.08}

 86%|████████▌ | 8578/10000 [21:47:02<2:40:58,  6.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7331470251083374, dino_loss: 0.6640625, depth_loss: 0.06373633444309235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.6645864844322205, dino_loss: 0.69921875, depth_loss: 0.09040852636098862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8579/10000 [21:47:11<2:58:06,  7.52s/it]
                                                         
{'loss': 2.4093, 'grad_norm': 2.80066180229187, 'learning_rate': 2.709843195716455e-06, 'epoch': 0.08}

 86%|████████▌ | 8579/10000 [21:47:11<2:58:06,  7.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.742393970489502, dino_loss: 0.7109375, depth_loss: 0.04206445440649986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8411434888839722, dino_loss: 0.73046875, depth_loss: 0.048651788383722305, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8580/10000 [21:47:20<3:05:31,  7.84s/it]
                                                         
{'loss': 2.475, 'grad_norm': 5.711470603942871, 'learning_rate': 2.706100863843822e-06, 'epoch': 0.08}

 86%|████████▌ | 8580/10000 [21:47:20<3:05:31,  7.84s/it]seg_loss: 0.0, dino_loss: 0.60546875, depth_loss: 0.055932387709617615, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9861686825752258, dino_loss: 0.76953125, depth_loss: 0.05745655298233032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8581/10000 [21:47:25<2:49:12,  7.15s/it]
                                                         
{'loss': 2.1336, 'grad_norm': 2.722491979598999, 'learning_rate': 2.7023609699984743e-06, 'epoch': 0.08}

 86%|████████▌ | 8581/10000 [21:47:25<2:49:12,  7.15s/it]the number of masks: 8
seg_loss: 0.7992972731590271, dino_loss: 0.6953125, depth_loss: 0.054740555584430695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9474300742149353, dino_loss: 0.703125, depth_loss: 0.08449172973632812, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8582/10000 [21:47:32<2:45:34,  7.01s/it]
                                                         
{'loss': 2.4309, 'grad_norm': 6.351967811584473, 'learning_rate': 2.6986235145894073e-06, 'epoch': 0.08}

 86%|████████▌ | 8582/10000 [21:47:32<2:45:34,  7.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6296513676643372, dino_loss: 0.6171875, depth_loss: 0.06568724662065506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9521116018295288, dino_loss: 0.6640625, depth_loss: 0.05774505063891411, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8583/10000 [21:47:39<2:46:13,  7.04s/it]
                                                         
{'loss': 1.9854, 'grad_norm': 5.612515449523926, 'learning_rate': 2.694888498025347e-06, 'epoch': 0.08}

 86%|████████▌ | 8583/10000 [21:47:39<2:46:13,  7.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0160751342773438, dino_loss: 0.703125, depth_loss: 0.060081399977207184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.48649466037750244, dino_loss: 0.515625, depth_loss: 0.048013489693403244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8584/10000 [21:47:49<3:03:42,  7.78s/it]
                                                         
{'loss': 1.9688, 'grad_norm': 3.178666114807129, 'learning_rate': 2.691155920714741e-06, 'epoch': 0.08}

 86%|████████▌ | 8584/10000 [21:47:49<3:03:42,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.978208065032959, dino_loss: 0.51171875, depth_loss: 0.029697345569729805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66796875, depth_loss: 0.05780442804098129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8585/10000 [21:47:54<2:48:02,  7.13s/it]
                                                         
{'loss': 1.5426, 'grad_norm': 3.9606001377105713, 'learning_rate': 2.6874257830657805e-06, 'epoch': 0.08}

 86%|████████▌ | 8585/10000 [21:47:54<2:48:02,  7.13s/it]the number of masks: 8
seg_loss: 0.9366779327392578, dino_loss: 0.796875, depth_loss: 0.09395070374011993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8708953261375427, dino_loss: 0.78125, depth_loss: 0.07347625494003296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8586/10000 [21:48:01<2:48:39,  7.16s/it]
                                                         
{'loss': 2.596, 'grad_norm': 2.5104382038116455, 'learning_rate': 2.6836980854863942e-06, 'epoch': 0.08}

 86%|████████▌ | 8586/10000 [21:48:01<2:48:39,  7.16s/it]the number of masks: 8
the number of masks: 5
seg_loss: 0.7219138145446777, dino_loss: 0.7265625, depth_loss: 0.06209954619407654, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7878758311271667, dino_loss: 0.65625, depth_loss: 0.05116177722811699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8587/10000 [21:48:09<2:49:50,  7.21s/it]
                                                         
{'loss': 2.1561, 'grad_norm': 4.799887657165527, 'learning_rate': 2.6799728283842335e-06, 'epoch': 0.08}

 86%|████████▌ | 8587/10000 [21:48:09<2:49:50,  7.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7422364950180054, dino_loss: 0.69140625, depth_loss: 0.06740451604127884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9636549353599548, dino_loss: 0.65625, depth_loss: 0.07799297571182251, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8588/10000 [21:48:17<2:57:43,  7.55s/it]
                                                         
{'loss': 1.986, 'grad_norm': 3.312687635421753, 'learning_rate': 2.676250012166684e-06, 'epoch': 0.08}

 86%|████████▌ | 8588/10000 [21:48:17<2:57:43,  7.55s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9302761554718018, dino_loss: 0.69140625, depth_loss: 0.03718078136444092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8492975234985352, dino_loss: 0.69921875, depth_loss: 0.11799198389053345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8589/10000 [21:48:26<3:10:05,  8.08s/it]
                                                         
{'loss': 2.5354, 'grad_norm': 3.5685248374938965, 'learning_rate': 2.6725296372408755e-06, 'epoch': 0.08}

 86%|████████▌ | 8589/10000 [21:48:26<3:10:05,  8.08s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.3612560033798218, dino_loss: 0.56640625, depth_loss: 0.04424242675304413, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.846153974533081, dino_loss: 0.703125, depth_loss: 0.05773689225316048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8590/10000 [21:48:34<3:07:21,  7.97s/it]
                                                         
{'loss': 1.8636, 'grad_norm': 3.319129467010498, 'learning_rate': 2.6688117040136464e-06, 'epoch': 0.08}

 86%|████████▌ | 8590/10000 [21:48:34<3:07:21,  7.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7216877937316895, dino_loss: 0.65234375, depth_loss: 0.0475812628865242, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6752447485923767, dino_loss: 0.73046875, depth_loss: 0.10650205612182617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8591/10000 [21:48:44<3:18:05,  8.44s/it]
                                                         
{'loss': 2.2604, 'grad_norm': 2.605865001678467, 'learning_rate': 2.6650962128916046e-06, 'epoch': 0.08}

 86%|████████▌ | 8591/10000 [21:48:44<3:18:05,  8.44s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8269486427307129, dino_loss: 0.68359375, depth_loss: 0.06906894594430923, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8952709436416626, dino_loss: 0.8984375, depth_loss: 0.06677456945180893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8592/10000 [21:48:51<3:09:15,  8.07s/it]
                                                         
{'loss': 2.2937, 'grad_norm': 5.8037028312683105, 'learning_rate': 2.661383164281056e-06, 'epoch': 0.08}

 86%|████████▌ | 8592/10000 [21:48:51<3:09:15,  8.07s/it]the number of masks: 8
seg_loss: 0.9847644567489624, dino_loss: 0.65234375, depth_loss: 0.05711830407381058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0253771543502808, dino_loss: 0.6953125, depth_loss: 0.0633782297372818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8593/10000 [21:48:58<3:03:57,  7.84s/it]
                                                         
{'loss': 2.2971, 'grad_norm': 6.034790992736816, 'learning_rate': 2.6576725585880647e-06, 'epoch': 0.08}

 86%|████████▌ | 8593/10000 [21:48:58<3:03:57,  7.84s/it]the number of masks: 8
seg_loss: 0.8301777839660645, dino_loss: 0.6953125, depth_loss: 0.06625404208898544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
seg_loss: 0.40763360261917114, dino_loss: 0.69140625, depth_loss: 0.056130461394786835, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8594/10000 [21:49:05<2:56:04,  7.51s/it]
                                                         
{'loss': 2.1846, 'grad_norm': 10.1432523727417, 'learning_rate': 2.6539643962184057e-06, 'epoch': 0.08}

 86%|████████▌ | 8594/10000 [21:49:05<2:56:04,  7.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8515052795410156, dino_loss: 0.66015625, depth_loss: 0.05938766896724701, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9161616563796997, dino_loss: 0.59375, depth_loss: 0.04640050232410431, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8595/10000 [21:49:15<3:13:17,  8.25s/it]
                                                         
{'loss': 2.3065, 'grad_norm': 4.351895332336426, 'learning_rate': 2.6502586775776076e-06, 'epoch': 0.08}

 86%|████████▌ | 8595/10000 [21:49:15<3:13:17,  8.25s/it]the number of masks: 8
seg_loss: 0.7475336194038391, dino_loss: 0.65234375, depth_loss: 0.06885194033384323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9430656433105469, dino_loss: 0.640625, depth_loss: 0.05705763399600983, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8596/10000 [21:49:21<2:58:59,  7.65s/it]
                                                         
{'loss': 2.4037, 'grad_norm': 2.9098007678985596, 'learning_rate': 2.646555403070916e-06, 'epoch': 0.08}

 86%|████████▌ | 8596/10000 [21:49:21<2:58:59,  7.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7301880121231079, dino_loss: 0.66796875, depth_loss: 0.06854167580604553, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8016156554222107, dino_loss: 0.7421875, depth_loss: 0.045464374125003815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8597/10000 [21:49:30<3:10:31,  8.15s/it]
                                                         
{'loss': 1.8417, 'grad_norm': 2.6840109825134277, 'learning_rate': 2.642854573103315e-06, 'epoch': 0.08}

 86%|████████▌ | 8597/10000 [21:49:30<3:10:31,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8196766376495361, dino_loss: 0.0, depth_loss: 0.0703902542591095, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9378930926322937, dino_loss: 0.6875, depth_loss: 0.04937298595905304, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8598/10000 [21:49:39<3:13:21,  8.27s/it]
                                                         
{'loss': 2.3597, 'grad_norm': 3.773151159286499, 'learning_rate': 2.6391561880795253e-06, 'epoch': 0.08}

 86%|████████▌ | 8598/10000 [21:49:39<3:13:21,  8.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1680055856704712, dino_loss: 0.703125, depth_loss: 0.06286931037902832, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6978238821029663, dino_loss: 0.6640625, depth_loss: 0.05000846087932587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8599/10000 [21:49:51<3:36:38,  9.28s/it]
                                                         
{'loss': 2.6466, 'grad_norm': 3.366468906402588, 'learning_rate': 2.635460248404001e-06, 'epoch': 0.08}

 86%|████████▌ | 8599/10000 [21:49:51<3:36:38,  9.28s/it]the number of masks: 7
seg_loss: 0.19847524166107178, dino_loss: 0.703125, depth_loss: 0.03832613676786423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7954260110855103, dino_loss: 0.71875, depth_loss: 0.04856433719396591, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8600/10000 [21:49:58<3:22:14,  8.67s/it]
                                                         
{'loss': 1.8255, 'grad_norm': 1.9331754446029663, 'learning_rate': 2.6317667544809134e-06, 'epoch': 0.08}

 86%|████████▌ | 8600/10000 [21:49:58<3:22:14,  8.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.942436158657074, dino_loss: 0.6484375, depth_loss: 0.04605375975370407, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.044073462486267, dino_loss: 0.609375, depth_loss: 0.06030091643333435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8601/10000 [21:50:05<3:11:10,  8.20s/it]
                                                         
{'loss': 2.276, 'grad_norm': 8.243093490600586, 'learning_rate': 2.6280757067141894e-06, 'epoch': 0.08}

 86%|████████▌ | 8601/10000 [21:50:05<3:11:10,  8.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9514422416687012, dino_loss: 0.0, depth_loss: 0.08443093299865723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6141480207443237, dino_loss: 0.62109375, depth_loss: 0.04716715216636658, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8602/10000 [21:50:14<3:14:36,  8.35s/it]
                                                         
{'loss': 1.96, 'grad_norm': 4.007391452789307, 'learning_rate': 2.624387105507464e-06, 'epoch': 0.08}

 86%|████████▌ | 8602/10000 [21:50:14<3:14:36,  8.35s/it]the number of masks: 8
seg_loss: 0.9366210699081421, dino_loss: 0.58984375, depth_loss: 0.04241105169057846, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7426854372024536, dino_loss: 0.74609375, depth_loss: 0.05890878289937973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8603/10000 [21:50:20<2:59:16,  7.70s/it]
                                                         
{'loss': 2.0612, 'grad_norm': 11.234272003173828, 'learning_rate': 2.620700951264127e-06, 'epoch': 0.08}

 86%|████████▌ | 8603/10000 [21:50:20<2:59:16,  7.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7620176672935486, dino_loss: 0.64453125, depth_loss: 0.04547267407178879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8940083384513855, dino_loss: 0.703125, depth_loss: 0.06902677565813065, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8604/10000 [21:50:29<3:10:12,  8.18s/it]
                                                         
{'loss': 2.1187, 'grad_norm': 1.87111234664917, 'learning_rate': 2.6170172443872846e-06, 'epoch': 0.08}

 86%|████████▌ | 8604/10000 [21:50:29<3:10:12,  8.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.2198728322982788, dino_loss: 0.65234375, depth_loss: 0.04031362384557724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9909235835075378, dino_loss: 0.6484375, depth_loss: 0.05613623559474945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8605/10000 [21:50:37<3:07:13,  8.05s/it]
                                                         
{'loss': 2.4025, 'grad_norm': 11.162286758422852, 'learning_rate': 2.6133359852797886e-06, 'epoch': 0.08}

 86%|████████▌ | 8605/10000 [21:50:37<3:07:13,  8.05s/it]the number of masks: 8
seg_loss: 0.8797200918197632, dino_loss: 0.69921875, depth_loss: 0.07109321653842926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9353134632110596, dino_loss: 0.6875, depth_loss: 0.07649045437574387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8606/10000 [21:50:43<2:52:35,  7.43s/it]
                                                         
{'loss': 2.1494, 'grad_norm': 3.4389350414276123, 'learning_rate': 2.609657174344207e-06, 'epoch': 0.08}

 86%|████████▌ | 8606/10000 [21:50:43<2:52:35,  7.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6832821369171143, dino_loss: 0.6640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7898191213607788, dino_loss: 0.70703125, depth_loss: 0.046016160398721695, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8607/10000 [21:50:51<2:59:24,  7.73s/it]
                                                         
{'loss': 2.2434, 'grad_norm': 4.55769681930542, 'learning_rate': 2.6059808119828526e-06, 'epoch': 0.08}

 86%|████████▌ | 8607/10000 [21:50:51<2:59:24,  7.73s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9428327679634094, dino_loss: 0.71875, depth_loss: 0.06895998120307922, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.765625, depth_loss: 0.05880805477499962, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8608/10000 [21:50:57<2:43:57,  7.07s/it]
                                                         
{'loss': 1.9082, 'grad_norm': 3.2107245922088623, 'learning_rate': 2.6023068985977756e-06, 'epoch': 0.08}

 86%|████████▌ | 8608/10000 [21:50:57<2:43:57,  7.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0863912105560303, dino_loss: 0.68359375, depth_loss: 0.05849875137209892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7616108059883118, dino_loss: 0.671875, depth_loss: 0.06929441541433334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8609/10000 [21:51:03<2:39:13,  6.87s/it]
                                                         
{'loss': 2.1275, 'grad_norm': 6.954631805419922, 'learning_rate': 2.5986354345907347e-06, 'epoch': 0.08}

 86%|████████▌ | 8609/10000 [21:51:03<2:39:13,  6.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8120991587638855, dino_loss: 0.69140625, depth_loss: 0.07515228539705276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9343833327293396, dino_loss: 0.71484375, depth_loss: 0.07366780936717987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8610/10000 [21:51:13<3:00:23,  7.79s/it]
                                                         
{'loss': 2.578, 'grad_norm': 3.3478524684906006, 'learning_rate': 2.5949664203632428e-06, 'epoch': 0.08}

 86%|████████▌ | 8610/10000 [21:51:13<3:00:23,  7.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.847621500492096, dino_loss: 0.70703125, depth_loss: 0.06732583791017532, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8655154705047607, dino_loss: 0.69921875, depth_loss: 0.05911277234554291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8611/10000 [21:51:20<2:54:25,  7.53s/it]
                                                         
{'loss': 1.9337, 'grad_norm': 2.633469343185425, 'learning_rate': 2.591299856316537e-06, 'epoch': 0.08}

 86%|████████▌ | 8611/10000 [21:51:20<2:54:25,  7.53s/it]the number of masks: 8
seg_loss: 0.8953444957733154, dino_loss: 0.7421875, depth_loss: 0.07702603936195374, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9196804761886597, dino_loss: 0.72265625, depth_loss: 0.06464182585477829, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8612/10000 [21:51:27<2:52:59,  7.48s/it]
                                                         
{'loss': 2.649, 'grad_norm': 3.9666292667388916, 'learning_rate': 2.5876357428515937e-06, 'epoch': 0.08}

 86%|████████▌ | 8612/10000 [21:51:27<2:52:59,  7.48s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7341455817222595, dino_loss: 0.65625, depth_loss: 0.06083989143371582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0087051391601562, dino_loss: 0.68359375, depth_loss: 0.06518886983394623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8613/10000 [21:51:36<3:00:11,  7.79s/it]
                                                         
{'loss': 2.7507, 'grad_norm': 5.409478664398193, 'learning_rate': 2.5839740803691032e-06, 'epoch': 0.08}

 86%|████████▌ | 8613/10000 [21:51:36<3:00:11,  7.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7347320914268494, dino_loss: 0.69921875, depth_loss: 0.06078595668077469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6901861429214478, dino_loss: 0.6796875, depth_loss: 0.058531150221824646, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8614/10000 [21:51:43<2:52:14,  7.46s/it]
                                                         
{'loss': 2.3029, 'grad_norm': 6.439784526824951, 'learning_rate': 2.5803148692695125e-06, 'epoch': 0.08}

 86%|████████▌ | 8614/10000 [21:51:43<2:52:14,  7.46s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5309146046638489, dino_loss: 0.65625, depth_loss: 0.061369653791189194, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7890689373016357, dino_loss: 0.7109375, depth_loss: 0.08926431834697723, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8615/10000 [21:51:51<2:57:48,  7.70s/it]
                                                         
{'loss': 1.8213, 'grad_norm': 14.90780258178711, 'learning_rate': 2.576658109952973e-06, 'epoch': 0.08}

 86%|████████▌ | 8615/10000 [21:51:51<2:57:48,  7.70s/it]the number of masks: 8
seg_loss: 0.7157222628593445, dino_loss: 0.69140625, depth_loss: 0.06622849404811859, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9958343505859375, dino_loss: 0.6953125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8616/10000 [21:51:57<2:46:18,  7.21s/it]
                                                         
{'loss': 2.3776, 'grad_norm': 7.9098286628723145, 'learning_rate': 2.5730038028193902e-06, 'epoch': 0.08}

 86%|████████▌ | 8616/10000 [21:51:57<2:46:18,  7.21s/it]the number of masks: 8
seg_loss: 1.0213589668273926, dino_loss: 0.671875, depth_loss: 0.05320014804601669, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7536057233810425, dino_loss: 0.62890625, depth_loss: 0.05574938654899597, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8617/10000 [21:52:04<2:45:56,  7.20s/it]
                                                         
{'loss': 2.2442, 'grad_norm': 3.7281298637390137, 'learning_rate': 2.569351948268392e-06, 'epoch': 0.08}

 86%|████████▌ | 8617/10000 [21:52:04<2:45:56,  7.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6102650165557861, dino_loss: 0.55859375, depth_loss: 0.0559493750333786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8155586123466492, dino_loss: 0.66796875, depth_loss: 0.06142721697688103, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8618/10000 [21:52:13<2:59:38,  7.80s/it]
                                                         
{'loss': 2.0507, 'grad_norm': 2.051060438156128, 'learning_rate': 2.5657025466993472e-06, 'epoch': 0.08}

 86%|████████▌ | 8618/10000 [21:52:13<2:59:38,  7.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6345105767250061, dino_loss: 0.59375, depth_loss: 0.04456482082605362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7993326187133789, dino_loss: 0.66015625, depth_loss: 0.05211574211716652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8619/10000 [21:52:22<3:02:57,  7.95s/it]
                                                         
{'loss': 1.7405, 'grad_norm': 7.413558483123779, 'learning_rate': 2.562055598511337e-06, 'epoch': 0.08}

 86%|████████▌ | 8619/10000 [21:52:22<3:02:57,  7.95s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7924832105636597, dino_loss: 0.64453125, depth_loss: 0.0740656852722168, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0458099842071533, dino_loss: 0.64453125, depth_loss: 0.05555873364210129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8620/10000 [21:52:30<3:02:12,  7.92s/it]
                                                         
{'loss': 2.3087, 'grad_norm': 5.215018272399902, 'learning_rate': 2.558411104103198e-06, 'epoch': 0.08}

 86%|████████▌ | 8620/10000 [21:52:30<3:02:12,  7.92s/it]seg_loss: 0.0, dino_loss: 0.7421875, depth_loss: 0.04922299459576607, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.065901517868042, dino_loss: 0.640625, depth_loss: 0.048261262476444244, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8621/10000 [21:52:37<2:58:40,  7.77s/it]
                                                         
{'loss': 2.2619, 'grad_norm': 2.9372925758361816, 'learning_rate': 2.5547690638734746e-06, 'epoch': 0.08}

 86%|████████▌ | 8621/10000 [21:52:37<2:58:40,  7.77s/it]the number of masks: 8
seg_loss: 0.8032630681991577, dino_loss: 0.6796875, depth_loss: 0.0770772397518158, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8277985453605652, dino_loss: 0.6875, depth_loss: 0.0624530091881752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8622/10000 [21:52:45<3:01:21,  7.90s/it]
                                                         
{'loss': 2.3937, 'grad_norm': 2.299220085144043, 'learning_rate': 2.55112947822046e-06, 'epoch': 0.08}

 86%|████████▌ | 8622/10000 [21:52:45<3:01:21,  7.90s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8007291555404663, dino_loss: 0.5859375, depth_loss: 0.048080869019031525, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0741138458251953, dino_loss: 0.65234375, depth_loss: 0.06040039658546448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8623/10000 [21:52:52<2:56:42,  7.70s/it]
                                                         
{'loss': 2.4092, 'grad_norm': 5.354862213134766, 'learning_rate': 2.547492347542174e-06, 'epoch': 0.08}

 86%|████████▌ | 8623/10000 [21:52:52<2:56:42,  7.70s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7618032693862915, dino_loss: 0.6796875, depth_loss: 0.05968698859214783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9442839622497559, dino_loss: 0.7109375, depth_loss: 0.08114863187074661, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▌ | 8624/10000 [21:53:01<3:04:31,  8.05s/it]
                                                         
{'loss': 2.4522, 'grad_norm': 10.412941932678223, 'learning_rate': 2.5438576722363714e-06, 'epoch': 0.08}

 86%|████████▌ | 8624/10000 [21:53:01<3:04:31,  8.05s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7696487307548523, dino_loss: 0.498046875, depth_loss: 0.03933092951774597, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 1
seg_loss: 0.4416777193546295, dino_loss: 0.63671875, depth_loss: 0.07033678144216537, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8625/10000 [21:53:09<3:03:35,  8.01s/it]
                                                         
{'loss': 1.3151, 'grad_norm': 2.623037338256836, 'learning_rate': 2.5402254527005287e-06, 'epoch': 0.08}

 86%|████████▋ | 8625/10000 [21:53:09<3:03:35,  8.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8657234907150269, dino_loss: 0.65625, depth_loss: 0.06507086753845215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.016119122505188, dino_loss: 0.0, depth_loss: 0.09233592450618744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8626/10000 [21:53:17<3:04:55,  8.08s/it]
                                                         
{'loss': 1.7882, 'grad_norm': 5.593236923217773, 'learning_rate': 2.5365956893318666e-06, 'epoch': 0.08}

 86%|████████▋ | 8626/10000 [21:53:17<3:04:55,  8.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8149530291557312, dino_loss: 0.69921875, depth_loss: 0.055792756378650665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7231773734092712, dino_loss: 0.60546875, depth_loss: 0.04496428370475769, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8627/10000 [21:53:28<3:19:56,  8.74s/it]
                                                         
{'loss': 2.1451, 'grad_norm': 4.268344879150391, 'learning_rate': 2.5329683825273233e-06, 'epoch': 0.08}

 86%|████████▋ | 8627/10000 [21:53:28<3:19:56,  8.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7602367401123047, dino_loss: 0.63671875, depth_loss: 0.04440205544233322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8984909653663635, dino_loss: 0.6640625, depth_loss: 0.057370759546756744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8628/10000 [21:53:38<3:30:40,  9.21s/it]
                                                         
{'loss': 2.2587, 'grad_norm': 7.417122840881348, 'learning_rate': 2.5293435326835785e-06, 'epoch': 0.08}

 86%|████████▋ | 8628/10000 [21:53:38<3:30:40,  9.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.95775306224823, dino_loss: 0.70703125, depth_loss: 0.05488138645887375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8408681154251099, dino_loss: 0.6953125, depth_loss: 0.06380632519721985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8629/10000 [21:53:47<3:27:15,  9.07s/it]
                                                         
{'loss': 2.4774, 'grad_norm': 4.911660671234131, 'learning_rate': 2.5257211401970405e-06, 'epoch': 0.08}

 86%|████████▋ | 8629/10000 [21:53:47<3:27:15,  9.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6291707754135132, dino_loss: 0.6171875, depth_loss: 0.03291388228535652, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8970987796783447, dino_loss: 0.6796875, depth_loss: 0.06205953657627106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8630/10000 [21:53:55<3:21:25,  8.82s/it]
                                                         
{'loss': 1.9309, 'grad_norm': 4.456702709197998, 'learning_rate': 2.522101205463853e-06, 'epoch': 0.08}

 86%|████████▋ | 8630/10000 [21:53:55<3:21:25,  8.82s/it]the number of masks: 8
seg_loss: 0.9174947142601013, dino_loss: 0.62890625, depth_loss: 0.05653627961874008, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6549597978591919, dino_loss: 0.703125, depth_loss: 0.060961998999118805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8631/10000 [21:54:03<3:13:27,  8.48s/it]
                                                         
{'loss': 2.1171, 'grad_norm': 3.7137770652770996, 'learning_rate': 2.518483728879878e-06, 'epoch': 0.08}

 86%|████████▋ | 8631/10000 [21:54:03<3:13:27,  8.48s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7664569616317749, dino_loss: 0.7265625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.676947832107544, dino_loss: 0.68359375, depth_loss: 0.05840900540351868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8632/10000 [21:54:12<3:15:50,  8.59s/it]
                                                         
{'loss': 2.4154, 'grad_norm': 4.528352737426758, 'learning_rate': 2.514868710840723e-06, 'epoch': 0.08}

 86%|████████▋ | 8632/10000 [21:54:12<3:15:50,  8.59s/it]the number of masks: 8
the number of masks: 4
seg_loss: 0.49768519401550293, dino_loss: 0.73828125, depth_loss: 0.04801229387521744, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8545690774917603, dino_loss: 0.64453125, depth_loss: 0.05799686163663864, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8633/10000 [21:54:19<3:09:52,  8.33s/it]
                                                         
{'loss': 2.1724, 'grad_norm': 4.807216167449951, 'learning_rate': 2.5112561517417254e-06, 'epoch': 0.08}

 86%|████████▋ | 8633/10000 [21:54:19<3:09:52,  8.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0219545364379883, dino_loss: 0.6875, depth_loss: 0.04760667681694031, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.801957368850708, dino_loss: 0.6796875, depth_loss: 0.07328664511442184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8634/10000 [21:54:28<3:10:11,  8.35s/it]
                                                         
{'loss': 2.4939, 'grad_norm': 5.298251628875732, 'learning_rate': 2.5076460519779383e-06, 'epoch': 0.08}

 86%|████████▋ | 8634/10000 [21:54:28<3:10:11,  8.35s/it]seg_loss: 0.0, dino_loss: 0.6796875, depth_loss: 0.041888490319252014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7635688781738281, dino_loss: 0.0, depth_loss: 0.049120865762233734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8635/10000 [21:54:33<2:51:24,  7.53s/it]
                                                         
{'loss': 1.2772, 'grad_norm': 2.5076797008514404, 'learning_rate': 2.5040384119441594e-06, 'epoch': 0.08}

 86%|████████▋ | 8635/10000 [21:54:33<2:51:24,  7.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8242670893669128, dino_loss: 0.72265625, depth_loss: 0.07176809012889862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7251065373420715, dino_loss: 0.69921875, depth_loss: 0.05499391257762909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8636/10000 [21:54:42<2:58:35,  7.86s/it]
                                                         
{'loss': 2.2637, 'grad_norm': 4.556931495666504, 'learning_rate': 2.500433232034921e-06, 'epoch': 0.08}

 86%|████████▋ | 8636/10000 [21:54:42<2:58:35,  7.86s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9057115912437439, dino_loss: 0.69140625, depth_loss: 0.08339935541152954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.66015625, depth_loss: 0.05463804304599762, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8637/10000 [21:54:47<2:40:56,  7.08s/it]
                                                         
{'loss': 1.883, 'grad_norm': 1.7738808393478394, 'learning_rate': 2.4968305126444795e-06, 'epoch': 0.08}

 86%|████████▋ | 8637/10000 [21:54:47<2:40:56,  7.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8008758425712585, dino_loss: 0.671875, depth_loss: 0.07407042384147644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8689566850662231, dino_loss: 0.0, depth_loss: 0.053136490285396576, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8638/10000 [21:54:55<2:45:48,  7.30s/it]
                                                         
{'loss': 1.3216, 'grad_norm': 4.695297718048096, 'learning_rate': 2.493230254166817e-06, 'epoch': 0.08}

 86%|████████▋ | 8638/10000 [21:54:55<2:45:48,  7.30s/it]the number of masks: 8
seg_loss: 0.9680424332618713, dino_loss: 0.66015625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.521623969078064, dino_loss: 0.609375, depth_loss: 0.06275403499603271, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8639/10000 [21:55:01<2:36:49,  6.91s/it]
                                                         
{'loss': 2.1569, 'grad_norm': 5.489621162414551, 'learning_rate': 2.489632456995661e-06, 'epoch': 0.08}

 86%|████████▋ | 8639/10000 [21:55:01<2:36:49,  6.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.734704852104187, dino_loss: 0.66015625, depth_loss: 0.03932330012321472, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8010532855987549, dino_loss: 0.734375, depth_loss: 0.06095997616648674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8640/10000 [21:55:09<2:43:23,  7.21s/it]
                                                         
{'loss': 2.1287, 'grad_norm': 3.3059418201446533, 'learning_rate': 2.4860371215244484e-06, 'epoch': 0.08}

 86%|████████▋ | 8640/10000 [21:55:09<2:43:23,  7.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0498265027999878, dino_loss: 0.6953125, depth_loss: 0.07120676338672638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8282079100608826, dino_loss: 0.76171875, depth_loss: 0.06197630986571312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8641/10000 [21:55:18<2:53:49,  7.67s/it]
                                                         
{'loss': 2.7267, 'grad_norm': 7.4836602210998535, 'learning_rate': 2.482444248146368e-06, 'epoch': 0.08}

 86%|████████▋ | 8641/10000 [21:55:18<2:53:49,  7.67s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.89754319190979, dino_loss: 0.671875, depth_loss: 0.05343208461999893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7620872259140015, dino_loss: 0.57421875, depth_loss: 0.057837557047605515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8642/10000 [21:55:29<3:15:57,  8.66s/it]
                                                         
{'loss': 2.1508, 'grad_norm': 2.565800428390503, 'learning_rate': 2.4788538372543304e-06, 'epoch': 0.08}

 86%|████████▋ | 8642/10000 [21:55:29<3:15:57,  8.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7803117632865906, dino_loss: 0.73046875, depth_loss: 0.08820993453264236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9235722422599792, dino_loss: 0.64453125, depth_loss: 0.07532071322202682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8643/10000 [21:55:38<3:19:05,  8.80s/it]
                                                         
{'loss': 2.3599, 'grad_norm': 6.6699395179748535, 'learning_rate': 2.4752658892409826e-06, 'epoch': 0.08}

 86%|████████▋ | 8643/10000 [21:55:38<3:19:05,  8.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9549248218536377, dino_loss: 0.64453125, depth_loss: 0.04863917827606201, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8966529369354248, dino_loss: 0.72265625, depth_loss: 0.059499967843294144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8644/10000 [21:55:47<3:20:25,  8.87s/it]
                                                         
{'loss': 2.2127, 'grad_norm': 6.961709022521973, 'learning_rate': 2.4716804044986856e-06, 'epoch': 0.08}

 86%|████████▋ | 8644/10000 [21:55:47<3:20:25,  8.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8617897033691406, dino_loss: 0.703125, depth_loss: 0.07682901620864868, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.3733305335044861, dino_loss: 0.58984375, depth_loss: 0.042845338582992554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8645/10000 [21:55:53<3:03:40,  8.13s/it]
                                                         
{'loss': 1.7688, 'grad_norm': 5.290411949157715, 'learning_rate': 2.4680973834195516e-06, 'epoch': 0.08}

 86%|████████▋ | 8645/10000 [21:55:53<3:03:40,  8.13s/it]the number of masks: 8
the number of masks: 8
the number of masks: 7
seg_loss: 0.8591068983078003, dino_loss: 0.67578125, depth_loss: 0.050373077392578125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0055687427520752, dino_loss: 0.69921875, depth_loss: 0.09089407324790955, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8646/10000 [21:56:03<3:13:32,  8.58s/it]
                                                         
{'loss': 2.7351, 'grad_norm': 3.242391347885132, 'learning_rate': 2.4645168263954104e-06, 'epoch': 0.08}

 86%|████████▋ | 8646/10000 [21:56:03<3:13:32,  8.58s/it]the number of masks: 8
seg_loss: 1.0915189981460571, dino_loss: 0.490234375, depth_loss: 0.07833436131477356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8620795011520386, dino_loss: 0.7109375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8647/10000 [21:56:09<2:56:33,  7.83s/it]
                                                         
{'loss': 2.2874, 'grad_norm': 6.652929306030273, 'learning_rate': 2.4609387338178245e-06, 'epoch': 0.08}

 86%|████████▋ | 8647/10000 [21:56:09<2:56:33,  7.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7522820234298706, dino_loss: 0.640625, depth_loss: 0.031974125653505325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6903998255729675, dino_loss: 0.494140625, depth_loss: 0.02791627123951912, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8648/10000 [21:56:17<2:56:30,  7.83s/it]
                                                         
{'loss': 1.9584, 'grad_norm': 6.399580001831055, 'learning_rate': 2.457363106078095e-06, 'epoch': 0.08}

 86%|████████▋ | 8648/10000 [21:56:17<2:56:30,  7.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7632088661193848, dino_loss: 0.61328125, depth_loss: 0.0529484897851944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8689125776290894, dino_loss: 0.68359375, depth_loss: 0.08099345862865448, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8649/10000 [21:56:25<2:58:24,  7.92s/it]
                                                         
{'loss': 2.2972, 'grad_norm': 6.3502278327941895, 'learning_rate': 2.4537899435672446e-06, 'epoch': 0.08}

 86%|████████▋ | 8649/10000 [21:56:25<2:58:24,  7.92s/it]the number of masks: 7
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7774533033370972, dino_loss: 0.734375, depth_loss: 0.04855906218290329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8736481666564941, dino_loss: 0.6953125, depth_loss: 0.06705546379089355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 86%|████████▋ | 8650/10000 [21:56:36<3:18:51,  8.84s/it]
                                                         
{'loss': 2.2484, 'grad_norm': 4.035482406616211, 'learning_rate': 2.4502192466760276e-06, 'epoch': 0.08}

 86%|████████▋ | 8650/10000 [21:56:36<3:18:51,  8.84s/it]the number of masks: 8
seg_loss: 0.9021726846694946, dino_loss: 0.65234375, depth_loss: 0.07260127365589142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.899529755115509, dino_loss: 0.6953125, depth_loss: 0.07692822068929672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8651/10000 [21:56:42<3:01:29,  8.07s/it]
                                                         
{'loss': 2.2971, 'grad_norm': 6.587131023406982, 'learning_rate': 2.446651015794932e-06, 'epoch': 0.08}

 87%|████████▋ | 8651/10000 [21:56:42<3:01:29,  8.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6359527707099915, dino_loss: 0.640625, depth_loss: 0.04459359496831894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9973253011703491, dino_loss: 0.640625, depth_loss: 0.04638711363077164, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8652/10000 [21:56:51<3:08:26,  8.39s/it]
                                                         
{'loss': 2.2427, 'grad_norm': 2.324552059173584, 'learning_rate': 2.44308525131417e-06, 'epoch': 0.08}

 87%|████████▋ | 8652/10000 [21:56:51<3:08:26,  8.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8100817203521729, dino_loss: 0.65625, depth_loss: 0.04531065374612808, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8522047996520996, dino_loss: 0.6484375, depth_loss: 0.0455920472741127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8653/10000 [21:57:00<3:13:17,  8.61s/it]
                                                         
{'loss': 2.2057, 'grad_norm': 2.625443696975708, 'learning_rate': 2.439521953623691e-06, 'epoch': 0.08}

 87%|████████▋ | 8653/10000 [21:57:00<3:13:17,  8.61s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6156470775604248, dino_loss: 0.68359375, depth_loss: 0.05599232763051987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.068858027458191, dino_loss: 0.58203125, depth_loss: 0.07141706347465515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8654/10000 [21:57:09<3:13:27,  8.62s/it]
                                                         
{'loss': 2.2964, 'grad_norm': 16.495784759521484, 'learning_rate': 2.435961123113173e-06, 'epoch': 0.08}

 87%|████████▋ | 8654/10000 [21:57:09<3:13:27,  8.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6985949873924255, dino_loss: 0.64453125, depth_loss: 0.05070237070322037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.702472448348999, dino_loss: 0.609375, depth_loss: 0.05448313057422638, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8655/10000 [21:57:17<3:08:56,  8.43s/it]
                                                         
{'loss': 1.9428, 'grad_norm': 5.830207347869873, 'learning_rate': 2.4324027601720257e-06, 'epoch': 0.08}

 87%|████████▋ | 8655/10000 [21:57:17<3:08:56,  8.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6693407893180847, dino_loss: 0.73828125, depth_loss: 0.04689454659819603, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7628629207611084, dino_loss: 0.71484375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8656/10000 [21:57:24<2:56:15,  7.87s/it]
                                                         
{'loss': 2.5341, 'grad_norm': 5.065107822418213, 'learning_rate': 2.428846865189377e-06, 'epoch': 0.08}

 87%|████████▋ | 8656/10000 [21:57:24<2:56:15,  7.87s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8475842475891113, dino_loss: 0.6640625, depth_loss: 0.05287523195147514, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1229500770568848, dino_loss: 0.69921875, depth_loss: 0.05103699490427971, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8657/10000 [21:57:33<3:09:59,  8.49s/it]
                                                         
{'loss': 2.025, 'grad_norm': 4.507854461669922, 'learning_rate': 2.4252934385540993e-06, 'epoch': 0.08}

 87%|████████▋ | 8657/10000 [21:57:33<3:09:59,  8.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7991816997528076, dino_loss: 0.6640625, depth_loss: 0.0568506233394146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.482677698135376, dino_loss: 0.69140625, depth_loss: 0.07375107705593109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8658/10000 [21:57:43<3:15:40,  8.75s/it]
                                                         
{'loss': 2.1601, 'grad_norm': 5.635746002197266, 'learning_rate': 2.4217424806547984e-06, 'epoch': 0.08}

 87%|████████▋ | 8658/10000 [21:57:43<3:15:40,  8.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8222160339355469, dino_loss: 0.6875, depth_loss: 0.07229647785425186, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.825394868850708, dino_loss: 0.703125, depth_loss: 0.06649233400821686, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8659/10000 [21:57:51<3:13:06,  8.64s/it]
                                                         
{'loss': 2.1282, 'grad_norm': 5.4954447746276855, 'learning_rate': 2.418193991879786e-06, 'epoch': 0.08}

 87%|████████▋ | 8659/10000 [21:57:51<3:13:06,  8.64s/it]seg_loss: 0.0, dino_loss: 0.75390625, depth_loss: 0.08530598878860474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0700925588607788, dino_loss: 0.6171875, depth_loss: 0.061092767864465714, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8660/10000 [21:57:57<2:53:21,  7.76s/it]
                                                         
{'loss': 1.6407, 'grad_norm': 2.2170605659484863, 'learning_rate': 2.414647972617129e-06, 'epoch': 0.08}

 87%|████████▋ | 8660/10000 [21:57:57<2:53:21,  7.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8772579431533813, dino_loss: 0.6953125, depth_loss: 0.07544492185115814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9337494373321533, dino_loss: 0.71484375, depth_loss: 0.06281469017267227, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8661/10000 [21:58:05<2:56:26,  7.91s/it]
                                                         
{'loss': 2.4712, 'grad_norm': 2.263382911682129, 'learning_rate': 2.411104423254615e-06, 'epoch': 0.08}

 87%|████████▋ | 8661/10000 [21:58:05<2:56:26,  7.91s/it]the number of masks: 8
seg_loss: 1.036652684211731, dino_loss: 0.796875, depth_loss: 0.06496284157037735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8907896280288696, dino_loss: 0.6953125, depth_loss: 0.06802744418382645, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8662/10000 [21:58:11<2:39:03,  7.13s/it]
                                                         
{'loss': 2.3954, 'grad_norm': 4.611392021179199, 'learning_rate': 2.407563344179761e-06, 'epoch': 0.08}

 87%|████████▋ | 8662/10000 [21:58:11<2:39:03,  7.13s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5927538275718689, dino_loss: 0.5078125, depth_loss: 0.03387778252363205, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9653505086898804, dino_loss: 0.63671875, depth_loss: 0.0778941959142685, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8663/10000 [21:58:17<2:36:28,  7.02s/it]
                                                         
{'loss': 1.4863, 'grad_norm': 3.398484706878662, 'learning_rate': 2.4040247357798084e-06, 'epoch': 0.08}

 87%|████████▋ | 8663/10000 [21:58:17<2:36:28,  7.02s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8984682559967041, dino_loss: 0.72265625, depth_loss: 0.07257786393165588, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.714842677116394, dino_loss: 0.5234375, depth_loss: 0.03447253629565239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8664/10000 [21:58:26<2:44:22,  7.38s/it]
                                                         
{'loss': 1.8024, 'grad_norm': 2.729717969894409, 'learning_rate': 2.4004885984417443e-06, 'epoch': 0.08}

 87%|████████▋ | 8664/10000 [21:58:26<2:44:22,  7.38s/it]the number of masks: 8
seg_loss: 0.4788283109664917, dino_loss: 0.62890625, depth_loss: 0.07465213537216187, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.3781036138534546, dino_loss: 0.0, depth_loss: 0.06402090191841125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8665/10000 [21:58:32<2:37:22,  7.07s/it]
                                                         
{'loss': 1.9323, 'grad_norm': 4.873991012573242, 'learning_rate': 2.3969549325522618e-06, 'epoch': 0.08}

 87%|████████▋ | 8665/10000 [21:58:32<2:37:22,  7.07s/it]the number of masks: 8
seg_loss: 1.0846362113952637, dino_loss: 0.796875, depth_loss: 0.057459086179733276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5570446252822876, dino_loss: 0.61328125, depth_loss: 0.05269162729382515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8666/10000 [21:58:39<2:38:00,  7.11s/it]
                                                         
{'loss': 2.0132, 'grad_norm': 3.5453310012817383, 'learning_rate': 2.3934237384978133e-06, 'epoch': 0.08}

 87%|████████▋ | 8666/10000 [21:58:39<2:38:00,  7.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8462428450584412, dino_loss: 0.6953125, depth_loss: 0.06832148134708405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7210921049118042, dino_loss: 0.54296875, depth_loss: 0.05584792420268059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8667/10000 [21:58:46<2:37:04,  7.07s/it]
                                                         
{'loss': 1.7382, 'grad_norm': 8.751344680786133, 'learning_rate': 2.389895016664542e-06, 'epoch': 0.08}

 87%|████████▋ | 8667/10000 [21:58:46<2:37:04,  7.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8801820278167725, dino_loss: 0.71484375, depth_loss: 0.0697704553604126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.759141206741333, dino_loss: 0.66796875, depth_loss: 0.056108519434928894, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8668/10000 [21:58:55<2:52:46,  7.78s/it]
                                                         
{'loss': 2.1876, 'grad_norm': 3.002782106399536, 'learning_rate': 2.386368767438371e-06, 'epoch': 0.08}

 87%|████████▋ | 8668/10000 [21:58:55<2:52:46,  7.78s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6561196446418762, dino_loss: 0.79296875, depth_loss: 0.033076211810112, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7852785587310791, dino_loss: 0.69140625, depth_loss: 0.04517797380685806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8669/10000 [21:59:03<2:52:49,  7.79s/it]
                                                         
{'loss': 2.5453, 'grad_norm': 5.230844497680664, 'learning_rate': 2.382844991204908e-06, 'epoch': 0.08}

 87%|████████▋ | 8669/10000 [21:59:03<2:52:49,  7.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8811265826225281, dino_loss: 0.7265625, depth_loss: 0.07984901964664459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8985099792480469, dino_loss: 0.6640625, depth_loss: 0.058044519275426865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8670/10000 [21:59:12<2:56:35,  7.97s/it]
                                                         
{'loss': 2.3781, 'grad_norm': 4.64215087890625, 'learning_rate': 2.379323688349516e-06, 'epoch': 0.08}

 87%|████████▋ | 8670/10000 [21:59:12<2:56:35,  7.97s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7451751232147217, dino_loss: 0.74609375, depth_loss: 0.037942271679639816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 4
seg_loss: 0.8330466151237488, dino_loss: 0.6875, depth_loss: 0.0648038312792778, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8671/10000 [21:59:20<3:00:30,  8.15s/it]
                                                         
{'loss': 2.471, 'grad_norm': 5.552836894989014, 'learning_rate': 2.375804859257269e-06, 'epoch': 0.08}

 87%|████████▋ | 8671/10000 [21:59:20<3:00:30,  8.15s/it]the number of masks: 8
seg_loss: 0.9527092576026917, dino_loss: 0.6328125, depth_loss: 0.07328957319259644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7259643077850342, dino_loss: 0.6328125, depth_loss: 0.06479181349277496, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8672/10000 [21:59:29<3:02:52,  8.26s/it]
                                                         
{'loss': 2.3488, 'grad_norm': 5.795773983001709, 'learning_rate': 2.3722885043129943e-06, 'epoch': 0.08}

 87%|████████▋ | 8672/10000 [21:59:29<3:02:52,  8.26s/it]the number of masks: 8
seg_loss: 1.0620849132537842, dino_loss: 0.65234375, depth_loss: 0.07560568302869797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.714147686958313, dino_loss: 0.0, depth_loss: 0.043545499444007874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8673/10000 [21:59:36<2:55:39,  7.94s/it]
                                                         
{'loss': 1.6308, 'grad_norm': 8.332258224487305, 'learning_rate': 2.368774623901221e-06, 'epoch': 0.08}

 87%|████████▋ | 8673/10000 [21:59:36<2:55:39,  7.94s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6880295276641846, dino_loss: 0.68359375, depth_loss: 0.046770207583904266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9610905647277832, dino_loss: 0.625, depth_loss: 0.051254432648420334, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8674/10000 [21:59:44<2:54:18,  7.89s/it]
                                                         
{'loss': 2.4792, 'grad_norm': 10.807602882385254, 'learning_rate': 2.3652632184062355e-06, 'epoch': 0.08}

 87%|████████▋ | 8674/10000 [21:59:44<2:54:18,  7.89s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9291505813598633, dino_loss: 0.65234375, depth_loss: 0.04214596748352051, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7985552549362183, dino_loss: 0.65234375, depth_loss: 0.05846954882144928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8675/10000 [21:59:52<2:54:02,  7.88s/it]
                                                         
{'loss': 2.3197, 'grad_norm': 7.178249835968018, 'learning_rate': 2.361754288212031e-06, 'epoch': 0.08}

 87%|████████▋ | 8675/10000 [21:59:52<2:54:02,  7.88s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9986394643783569, dino_loss: 0.703125, depth_loss: 0.04947969689965248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.4862569272518158, dino_loss: 0.58984375, depth_loss: 0.040544234216213226, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8676/10000 [22:00:00<2:58:01,  8.07s/it]
                                                         
{'loss': 1.9764, 'grad_norm': 3.013551712036133, 'learning_rate': 2.3582478337023456e-06, 'epoch': 0.08}

 87%|████████▋ | 8676/10000 [22:00:00<2:58:01,  8.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9215623736381531, dino_loss: 0.796875, depth_loss: 0.05214696750044823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6119992733001709, dino_loss: 0.5, depth_loss: 0.04353838413953781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8677/10000 [22:00:07<2:51:11,  7.76s/it]
                                                         
{'loss': 1.5351, 'grad_norm': 3.467599391937256, 'learning_rate': 2.35474385526063e-06, 'epoch': 0.08}

 87%|████████▋ | 8677/10000 [22:00:07<2:51:11,  7.76s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.941234290599823, dino_loss: 0.70703125, depth_loss: 0.07039690762758255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9494074583053589, dino_loss: 0.640625, depth_loss: 0.045725345611572266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8678/10000 [22:00:16<3:01:20,  8.23s/it]
                                                         
{'loss': 2.3664, 'grad_norm': 3.762878179550171, 'learning_rate': 2.3512423532700805e-06, 'epoch': 0.08}

 87%|████████▋ | 8678/10000 [22:00:16<3:01:20,  8.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7692016363143921, dino_loss: 0.70703125, depth_loss: 0.08118563145399094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8471793532371521, dino_loss: 0.78515625, depth_loss: 0.06204952299594879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8679/10000 [22:00:26<3:08:26,  8.56s/it]
                                                         
{'loss': 2.0042, 'grad_norm': 3.8543548583984375, 'learning_rate': 2.3477433281136164e-06, 'epoch': 0.08}

 87%|████████▋ | 8679/10000 [22:00:26<3:08:26,  8.56s/it]the number of masks: 8
seg_loss: 0.5002415776252747, dino_loss: 0.65234375, depth_loss: 0.045305147767066956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7645615339279175, dino_loss: 0.6953125, depth_loss: 0.061951082199811935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8680/10000 [22:00:33<2:56:15,  8.01s/it]
                                                         
{'loss': 2.2577, 'grad_norm': 5.233057975769043, 'learning_rate': 2.3442467801738863e-06, 'epoch': 0.08}

 87%|████████▋ | 8680/10000 [22:00:33<2:56:15,  8.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6750643253326416, dino_loss: 0.59375, depth_loss: 0.05780687928199768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7889570593833923, dino_loss: 0.734375, depth_loss: 0.07229933142662048, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8681/10000 [22:00:41<3:00:03,  8.19s/it]
                                                         
{'loss': 2.159, 'grad_norm': 5.140016555786133, 'learning_rate': 2.340752709833263e-06, 'epoch': 0.08}

 87%|████████▋ | 8681/10000 [22:00:41<3:00:03,  8.19s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.3922448754310608, dino_loss: 0.5625, depth_loss: 0.07413740456104279, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9706411361694336, dino_loss: 0.71875, depth_loss: 0.051955051720142365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8682/10000 [22:00:49<2:55:51,  8.01s/it]
                                                         
{'loss': 1.6185, 'grad_norm': 3.8032619953155518, 'learning_rate': 2.3372611174738573e-06, 'epoch': 0.08}

 87%|████████▋ | 8682/10000 [22:00:49<2:55:51,  8.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5944373607635498, dino_loss: 0.50390625, depth_loss: 0.047423988580703735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6915779113769531, dino_loss: 0.68359375, depth_loss: 0.05029609426856041, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8683/10000 [22:00:56<2:52:26,  7.86s/it]
                                                         
{'loss': 2.0645, 'grad_norm': 2.9849331378936768, 'learning_rate': 2.3337720034775053e-06, 'epoch': 0.08}

 87%|████████▋ | 8683/10000 [22:00:56<2:52:26,  7.86s/it]the number of masks: 8
seg_loss: 0.7495775818824768, dino_loss: 0.69921875, depth_loss: 0.07369595766067505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7767661809921265, dino_loss: 0.73828125, depth_loss: 0.05151994153857231, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8684/10000 [22:01:02<2:41:12,  7.35s/it]
                                                         
{'loss': 1.6721, 'grad_norm': 4.415529251098633, 'learning_rate': 2.3302853682257654e-06, 'epoch': 0.08}

 87%|████████▋ | 8684/10000 [22:01:02<2:41:12,  7.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9488592147827148, dino_loss: 0.6953125, depth_loss: 0.0745450034737587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.667916476726532, dino_loss: 0.59765625, depth_loss: 0.06374792754650116, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8685/10000 [22:01:12<2:56:06,  8.04s/it]
                                                         
{'loss': 2.4541, 'grad_norm': 4.806501865386963, 'learning_rate': 2.326801212099938e-06, 'epoch': 0.08}

 87%|████████▋ | 8685/10000 [22:01:12<2:56:06,  8.04s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7853536605834961, dino_loss: 0.67578125, depth_loss: 0.05272197723388672, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9994383454322815, dino_loss: 0.72265625, depth_loss: 0.04306456446647644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8686/10000 [22:01:19<2:48:48,  7.71s/it]
                                                         
{'loss': 2.6579, 'grad_norm': 3.990908622741699, 'learning_rate': 2.3233195354810335e-06, 'epoch': 0.08}

 87%|████████▋ | 8686/10000 [22:01:19<2:48:48,  7.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5246468186378479, dino_loss: 0.625, depth_loss: 0.05978870019316673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7625688314437866, dino_loss: 0.734375, depth_loss: 0.05027192831039429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8687/10000 [22:01:30<3:09:17,  8.65s/it]
                                                         
{'loss': 1.9679, 'grad_norm': 2.5792980194091797, 'learning_rate': 2.319840338749821e-06, 'epoch': 0.08}

 87%|████████▋ | 8687/10000 [22:01:30<3:09:17,  8.65s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9228223562240601, dino_loss: 0.6484375, depth_loss: 0.042086441069841385, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8239718675613403, dino_loss: 0.69140625, depth_loss: 0.08438309282064438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8688/10000 [22:01:39<3:11:19,  8.75s/it]
                                                         
{'loss': 2.3041, 'grad_norm': 4.615911960601807, 'learning_rate': 2.316363622286763e-06, 'epoch': 0.08}

 87%|████████▋ | 8688/10000 [22:01:39<3:11:19,  8.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7645811438560486, dino_loss: 0.69140625, depth_loss: 0.044855546206235886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6500030755996704, dino_loss: 0.62109375, depth_loss: 0.06811876595020294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8689/10000 [22:01:48<3:16:10,  8.98s/it]
                                                         
{'loss': 1.8865, 'grad_norm': 3.074361801147461, 'learning_rate': 2.312889386472078e-06, 'epoch': 0.08}

 87%|████████▋ | 8689/10000 [22:01:48<3:16:10,  8.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.753707766532898, dino_loss: 0.6953125, depth_loss: 0.0498117133975029, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7071239948272705, dino_loss: 0.59765625, depth_loss: 0.042083535343408585, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8690/10000 [22:01:57<3:15:01,  8.93s/it]
                                                         
{'loss': 2.3395, 'grad_norm': 6.118129253387451, 'learning_rate': 2.309417631685698e-06, 'epoch': 0.08}

 87%|████████▋ | 8690/10000 [22:01:57<3:15:01,  8.93s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8763320446014404, dino_loss: 0.69921875, depth_loss: 0.05261785537004471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8596651554107666, dino_loss: 0.63671875, depth_loss: 0.057523827999830246, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8691/10000 [22:02:06<3:14:55,  8.93s/it]
                                                         
{'loss': 2.2999, 'grad_norm': 2.790855884552002, 'learning_rate': 2.3059483583072973e-06, 'epoch': 0.08}

 87%|████████▋ | 8691/10000 [22:02:06<3:14:55,  8.93s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7933979034423828, dino_loss: 0.65625, depth_loss: 0.059583332389593124, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7185518741607666, dino_loss: 0.640625, depth_loss: 0.06947655230760574, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8692/10000 [22:02:14<3:10:51,  8.75s/it]
                                                         
{'loss': 2.3616, 'grad_norm': 3.6689932346343994, 'learning_rate': 2.3024815667162526e-06, 'epoch': 0.08}

 87%|████████▋ | 8692/10000 [22:02:14<3:10:51,  8.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9456344842910767, dino_loss: 0.66015625, depth_loss: 0.06414499878883362, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.688701868057251, dino_loss: 0.5625, depth_loss: 0.05397355556488037, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8693/10000 [22:02:26<3:28:42,  9.58s/it]
                                                         
{'loss': 2.0269, 'grad_norm': 2.7385034561157227, 'learning_rate': 2.2990172572917077e-06, 'epoch': 0.08}

 87%|████████▋ | 8693/10000 [22:02:26<3:28:42,  9.58s/it]the number of masks: 8
seg_loss: 0.8246179223060608, dino_loss: 0.6328125, depth_loss: 0.0733620896935463, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9725612998008728, dino_loss: 0.0, depth_loss: 0.05616728216409683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8694/10000 [22:02:32<3:08:36,  8.66s/it]
                                                         
{'loss': 2.2962, 'grad_norm': 4.299328804016113, 'learning_rate': 2.2955554304124995e-06, 'epoch': 0.08}

 87%|████████▋ | 8694/10000 [22:02:32<3:08:36,  8.66s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8940503001213074, dino_loss: 0.515625, depth_loss: 0.05877967178821564, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
seg_loss: 0.49795907735824585, dino_loss: 0.6875, depth_loss: 0.04652174562215805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8695/10000 [22:02:41<3:09:29,  8.71s/it]
                                                         
{'loss': 2.163, 'grad_norm': 5.148005485534668, 'learning_rate': 2.2920960864572212e-06, 'epoch': 0.08}

 87%|████████▋ | 8695/10000 [22:02:41<3:09:29,  8.71s/it]the number of masks: 8
seg_loss: 0.8449271321296692, dino_loss: 0.671875, depth_loss: 0.060466066002845764, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9263615608215332, dino_loss: 0.74609375, depth_loss: 0.07874765992164612, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8696/10000 [22:02:47<2:53:04,  7.96s/it]
                                                         
{'loss': 2.2255, 'grad_norm': 5.702516078948975, 'learning_rate': 2.288639225804168e-06, 'epoch': 0.08}

 87%|████████▋ | 8696/10000 [22:02:47<2:53:04,  7.96s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8865687847137451, dino_loss: 0.7421875, depth_loss: 0.07991518080234528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9039634466171265, dino_loss: 0.65234375, depth_loss: 0.060932889580726624, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8697/10000 [22:02:57<3:05:29,  8.54s/it]
                                                         
{'loss': 2.489, 'grad_norm': 2.650636672973633, 'learning_rate': 2.2851848488313872e-06, 'epoch': 0.08}

 87%|████████▋ | 8697/10000 [22:02:57<3:05:29,  8.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0842158794403076, dino_loss: 0.703125, depth_loss: 0.08077900856733322, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.67578125, depth_loss: 0.0611153170466423, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8698/10000 [22:03:03<2:43:42,  7.54s/it]
                                                         
{'loss': 2.0982, 'grad_norm': 2.4352405071258545, 'learning_rate': 2.2817329559166293e-06, 'epoch': 0.08}

 87%|████████▋ | 8698/10000 [22:03:03<2:43:42,  7.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8097366094589233, dino_loss: 0.6328125, depth_loss: 0.06296125054359436, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9999303221702576, dino_loss: 0.71875, depth_loss: 0.06920809298753738, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8699/10000 [22:03:10<2:43:34,  7.54s/it]
                                                         
{'loss': 2.6182, 'grad_norm': 16.44822120666504, 'learning_rate': 2.2782835474374125e-06, 'epoch': 0.08}

 87%|████████▋ | 8699/10000 [22:03:10<2:43:34,  7.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.064994215965271, dino_loss: 0.71875, depth_loss: 0.0661906898021698, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9034626483917236, dino_loss: 0.63671875, depth_loss: 0.06322599947452545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8700/10000 [22:03:18<2:44:45,  7.60s/it]
                                                         
{'loss': 2.7652, 'grad_norm': 5.321376800537109, 'learning_rate': 2.2748366237709374e-06, 'epoch': 0.08}

 87%|████████▋ | 8700/10000 [22:03:18<2:44:45,  7.60s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8825545907020569, dino_loss: 0.67578125, depth_loss: 0.05682836472988129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8521798849105835, dino_loss: 0.7109375, depth_loss: 0.05226360261440277, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8701/10000 [22:03:28<2:59:39,  8.30s/it]
                                                         
{'loss': 2.0848, 'grad_norm': 2.742453098297119, 'learning_rate': 2.271392185294169e-06, 'epoch': 0.08}

 87%|████████▋ | 8701/10000 [22:03:28<2:59:39,  8.30s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0227558612823486, dino_loss: 0.703125, depth_loss: 0.06513114273548126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6376243829727173, dino_loss: 0.625, depth_loss: 0.046341340988874435, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8702/10000 [22:03:36<3:01:38,  8.40s/it]
                                                         
{'loss': 2.0396, 'grad_norm': 2.7585902214050293, 'learning_rate': 2.2679502323837724e-06, 'epoch': 0.08}

 87%|████████▋ | 8702/10000 [22:03:36<3:01:38,  8.40s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9126428961753845, dino_loss: 0.60546875, depth_loss: 0.07647661864757538, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7410508990287781, dino_loss: 0.63671875, depth_loss: 0.05829315632581711, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8703/10000 [22:03:44<2:59:01,  8.28s/it]
                                                         
{'loss': 2.1819, 'grad_norm': 4.476231575012207, 'learning_rate': 2.264510765416164e-06, 'epoch': 0.08}

 87%|████████▋ | 8703/10000 [22:03:44<2:59:01,  8.28s/it]the number of masks: 8
the number of masks: 6
the number of masks: 8
the number of masks: 8
seg_loss: 0.7161514163017273, dino_loss: 0.6484375, depth_loss: 0.04191941022872925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7261039018630981, dino_loss: 0.671875, depth_loss: 0.0618700310587883, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8704/10000 [22:03:54<3:05:26,  8.59s/it]
                                                         
{'loss': 2.0415, 'grad_norm': 4.742158889770508, 'learning_rate': 2.2610737847674784e-06, 'epoch': 0.08}

 87%|████████▋ | 8704/10000 [22:03:54<3:05:26,  8.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9466586112976074, dino_loss: 0.66015625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.969858705997467, dino_loss: 0.6640625, depth_loss: 0.06495589762926102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8705/10000 [22:04:02<3:01:59,  8.43s/it]
                                                         
{'loss': 2.2991, 'grad_norm': 2.897733211517334, 'learning_rate': 2.2576392908135707e-06, 'epoch': 0.08}

 87%|████████▋ | 8705/10000 [22:04:02<3:01:59,  8.43s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8194357752799988, dino_loss: 0.7265625, depth_loss: 0.03745204210281372, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6556059122085571, dino_loss: 0.6875, depth_loss: 0.06778384000062943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8706/10000 [22:04:11<3:04:58,  8.58s/it]
                                                         
{'loss': 2.3248, 'grad_norm': 3.7860100269317627, 'learning_rate': 2.2542072839300403e-06, 'epoch': 0.08}

 87%|████████▋ | 8706/10000 [22:04:11<3:04:58,  8.58s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.844552755355835, dino_loss: 0.66796875, depth_loss: 0.06406386196613312, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6053755283355713, dino_loss: 0.6484375, depth_loss: 0.05493823438882828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8707/10000 [22:04:18<2:58:21,  8.28s/it]
                                                         
{'loss': 2.0605, 'grad_norm': 4.284513473510742, 'learning_rate': 2.250777764492201e-06, 'epoch': 0.08}

 87%|████████▋ | 8707/10000 [22:04:18<2:58:21,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8579903841018677, dino_loss: 0.69921875, depth_loss: 0.055382147431373596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.67578125, depth_loss: 0.0447300523519516, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8708/10000 [22:04:26<2:53:21,  8.05s/it]
                                                         
{'loss': 1.925, 'grad_norm': 2.0412721633911133, 'learning_rate': 2.2473507328751086e-06, 'epoch': 0.08}

 87%|████████▋ | 8708/10000 [22:04:26<2:53:21,  8.05s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7016509771347046, dino_loss: 0.625, depth_loss: 0.07538112252950668, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7239608764648438, dino_loss: 0.5859375, depth_loss: 0.04607588052749634, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8709/10000 [22:04:34<2:53:14,  8.05s/it]
                                                         
{'loss': 1.4959, 'grad_norm': 3.4492745399475098, 'learning_rate': 2.2439261894535297e-06, 'epoch': 0.08}

 87%|████████▋ | 8709/10000 [22:04:34<2:53:14,  8.05s/it]the number of masks: 8
seg_loss: 0.3978353440761566, dino_loss: 0.5703125, depth_loss: 0.04795952886343002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8169460296630859, dino_loss: 0.6953125, depth_loss: 0.07004962861537933, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8710/10000 [22:04:41<2:44:34,  7.65s/it]
                                                         
{'loss': 2.0258, 'grad_norm': 5.399692535400391, 'learning_rate': 2.24050413460197e-06, 'epoch': 0.08}

 87%|████████▋ | 8710/10000 [22:04:41<2:44:34,  7.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8664000034332275, dino_loss: 0.71484375, depth_loss: 0.053905174136161804, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6322289705276489, dino_loss: 0.703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8711/10000 [22:04:48<2:41:11,  7.50s/it]
                                                         
{'loss': 2.0185, 'grad_norm': 6.999818801879883, 'learning_rate': 2.237084568694653e-06, 'epoch': 0.08}

 87%|████████▋ | 8711/10000 [22:04:48<2:41:11,  7.50s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.863836407661438, dino_loss: 0.0, depth_loss: 0.08744427561759949, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.6953125, depth_loss: 0.057211920619010925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8712/10000 [22:04:53<2:27:51,  6.89s/it]
                                                         
{'loss': 1.417, 'grad_norm': 2.806955337524414, 'learning_rate': 2.233667492105551e-06, 'epoch': 0.08}

 87%|████████▋ | 8712/10000 [22:04:53<2:27:51,  6.89s/it]the number of masks: 8
seg_loss: 0.9990664124488831, dino_loss: 0.734375, depth_loss: 0.03717149794101715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8962355852127075, dino_loss: 0.6484375, depth_loss: 0.04892512410879135, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8713/10000 [22:05:01<2:35:25,  7.25s/it]
                                                         
{'loss': 1.9823, 'grad_norm': 8.790372848510742, 'learning_rate': 2.230252905208341e-06, 'epoch': 0.08}

 87%|████████▋ | 8713/10000 [22:05:01<2:35:25,  7.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9814950823783875, dino_loss: 0.65625, depth_loss: 0.06401120126247406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.47253113985061646, dino_loss: 0.58203125, depth_loss: 0.034659624099731445, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8714/10000 [22:05:11<2:48:59,  7.88s/it]
                                                         
{'loss': 1.8338, 'grad_norm': 2.6714048385620117, 'learning_rate': 2.226840808376443e-06, 'epoch': 0.08}

 87%|████████▋ | 8714/10000 [22:05:11<2:48:59,  7.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0400665998458862, dino_loss: 0.6953125, depth_loss: 0.05714504048228264, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6691275835037231, dino_loss: 0.4921875, depth_loss: 0.024593668058514595, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8715/10000 [22:05:19<2:50:54,  7.98s/it]
                                                         
{'loss': 1.7559, 'grad_norm': 2.873314380645752, 'learning_rate': 2.223431201982992e-06, 'epoch': 0.08}

 87%|████████▋ | 8715/10000 [22:05:19<2:50:54,  7.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6976243853569031, dino_loss: 0.60546875, depth_loss: 0.07157313078641891, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7805766463279724, dino_loss: 0.63671875, depth_loss: 0.04967089742422104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8716/10000 [22:05:28<2:59:54,  8.41s/it]
                                                         
{'loss': 2.2138, 'grad_norm': 3.5330495834350586, 'learning_rate': 2.2200240864008624e-06, 'epoch': 0.08}

 87%|████████▋ | 8716/10000 [22:05:28<2:59:54,  8.41s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9143863916397095, dino_loss: 0.671875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6466816663742065, dino_loss: 0.64453125, depth_loss: 0.03321140632033348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8717/10000 [22:05:36<2:53:38,  8.12s/it]
                                                         
{'loss': 3.0122, 'grad_norm': 4.967400550842285, 'learning_rate': 2.216619462002642e-06, 'epoch': 0.08}

 87%|████████▋ | 8717/10000 [22:05:36<2:53:38,  8.12s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1635723114013672, dino_loss: 0.66796875, depth_loss: 0.0685020238161087, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7043862342834473, dino_loss: 0.6953125, depth_loss: 0.053620368242263794, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8718/10000 [22:05:45<3:03:27,  8.59s/it]
                                                         
{'loss': 2.4235, 'grad_norm': 11.933536529541016, 'learning_rate': 2.213217329160672e-06, 'epoch': 0.08}

 87%|████████▋ | 8718/10000 [22:05:45<3:03:27,  8.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8114816546440125, dino_loss: 0.62109375, depth_loss: 0.04119971767067909, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.002453088760376, dino_loss: 0.609375, depth_loss: 0.06270327419042587, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8719/10000 [22:05:54<3:00:28,  8.45s/it]
                                                         
{'loss': 2.3403, 'grad_norm': 3.3402247428894043, 'learning_rate': 2.209817688246993e-06, 'epoch': 0.08}

 87%|████████▋ | 8719/10000 [22:05:54<3:00:28,  8.45s/it]the number of masks: 8
the number of masks: 8
the number of masks: 5
seg_loss: 0.6034630537033081, dino_loss: 0.671875, depth_loss: 0.050591662526130676, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8657888770103455, dino_loss: 0.703125, depth_loss: 0.06415499746799469, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8720/10000 [22:06:02<2:59:47,  8.43s/it]
                                                         
{'loss': 1.744, 'grad_norm': 2.5264170169830322, 'learning_rate': 2.2064205396333886e-06, 'epoch': 0.08}

 87%|████████▋ | 8720/10000 [22:06:02<2:59:47,  8.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5608505010604858, dino_loss: 0.64453125, depth_loss: 0.06091991439461708, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7034229040145874, dino_loss: 0.68359375, depth_loss: 0.06189333647489548, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8721/10000 [22:06:11<3:01:56,  8.54s/it]
                                                         
{'loss': 2.3839, 'grad_norm': 2.660679340362549, 'learning_rate': 2.203025883691362e-06, 'epoch': 0.08}

 87%|████████▋ | 8721/10000 [22:06:11<3:01:56,  8.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7879676818847656, dino_loss: 0.671875, depth_loss: 0.06667382270097733, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 3
seg_loss: 0.6624093055725098, dino_loss: 0.71484375, depth_loss: 0.08502669632434845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8722/10000 [22:06:18<2:56:37,  8.29s/it]
                                                         
{'loss': 1.8848, 'grad_norm': 5.828093528747559, 'learning_rate': 2.199633720792152e-06, 'epoch': 0.08}

 87%|████████▋ | 8722/10000 [22:06:18<2:56:37,  8.29s/it]the number of masks: 8
seg_loss: 0.7763010263442993, dino_loss: 0.66796875, depth_loss: 0.03142523020505905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7336556315422058, dino_loss: 0.7265625, depth_loss: 0.052089184522628784, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8723/10000 [22:06:26<2:50:51,  8.03s/it]
                                                         
{'loss': 1.917, 'grad_norm': 6.829671859741211, 'learning_rate': 2.1962440513067175e-06, 'epoch': 0.08}

 87%|████████▋ | 8723/10000 [22:06:26<2:50:51,  8.03s/it]the number of masks: 8
seg_loss: 0.8368015289306641, dino_loss: 0.73046875, depth_loss: 0.06448832154273987, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8620004653930664, dino_loss: 0.75, depth_loss: 0.0641111359000206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8724/10000 [22:06:33<2:47:23,  7.87s/it]
                                                         
{'loss': 2.3975, 'grad_norm': 10.38687801361084, 'learning_rate': 2.1928568756057448e-06, 'epoch': 0.08}

 87%|████████▋ | 8724/10000 [22:06:33<2:47:23,  7.87s/it]the number of masks: 8
seg_loss: 0.9176467657089233, dino_loss: 0.703125, depth_loss: 0.051943063735961914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.928787887096405, dino_loss: 0.7421875, depth_loss: 0.060175567865371704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8725/10000 [22:06:39<2:31:10,  7.11s/it]
                                                         
{'loss': 2.3537, 'grad_norm': 9.956535339355469, 'learning_rate': 2.1894721940596554e-06, 'epoch': 0.08}

 87%|████████▋ | 8725/10000 [22:06:39<2:31:10,  7.11s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8181282877922058, dino_loss: 0.6484375, depth_loss: 0.08185810595750809, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9372214078903198, dino_loss: 0.6796875, depth_loss: 0.05604063719511032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8726/10000 [22:06:47<2:40:49,  7.57s/it]
                                                         
{'loss': 2.6461, 'grad_norm': 4.513902187347412, 'learning_rate': 2.1860900070385963e-06, 'epoch': 0.08}

 87%|████████▋ | 8726/10000 [22:06:47<2:40:49,  7.57s/it]the number of masks: 8
seg_loss: 0.9988954663276672, dino_loss: 0.71875, depth_loss: 0.05073972046375275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7823067307472229, dino_loss: 0.66015625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8727/10000 [22:06:54<2:33:51,  7.25s/it]
                                                         
{'loss': 2.5044, 'grad_norm': 3.472609043121338, 'learning_rate': 2.1827103149124313e-06, 'epoch': 0.08}

 87%|████████▋ | 8727/10000 [22:06:54<2:33:51,  7.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8242772817611694, dino_loss: 0.67578125, depth_loss: 0.08198132365942001, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7291572690010071, dino_loss: 0.62890625, depth_loss: 0.062123727053403854, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8728/10000 [22:07:03<2:46:19,  7.85s/it]
                                                         
{'loss': 2.2022, 'grad_norm': 3.6463334560394287, 'learning_rate': 2.179333118050758e-06, 'epoch': 0.08}

 87%|████████▋ | 8728/10000 [22:07:03<2:46:19,  7.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5247611999511719, dino_loss: 0.609375, depth_loss: 0.06767179816961288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9400284290313721, dino_loss: 0.7109375, depth_loss: 0.04729261249303818, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8729/10000 [22:07:13<2:56:49,  8.35s/it]
                                                         
{'loss': 1.9751, 'grad_norm': 3.2140698432922363, 'learning_rate': 2.1759584168229123e-06, 'epoch': 0.08}

 87%|████████▋ | 8729/10000 [22:07:13<2:56:49,  8.35s/it]the number of masks: 8
the number of masks: 2
seg_loss: 0.7467571496963501, dino_loss: 0.6328125, depth_loss: 0.05128135532140732, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7260350584983826, dino_loss: 0.7109375, depth_loss: 0.07093828916549683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8730/10000 [22:07:20<2:50:52,  8.07s/it]
                                                         
{'loss': 2.1444, 'grad_norm': 4.226168632507324, 'learning_rate': 2.1725862115979322e-06, 'epoch': 0.08}

 87%|████████▋ | 8730/10000 [22:07:20<2:50:52,  8.07s/it]the number of masks: 8
seg_loss: 0.8397250175476074, dino_loss: 0.6484375, depth_loss: 0.05996488779783249, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.1123833656311035, dino_loss: 0.69140625, depth_loss: 0.08438965678215027, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8731/10000 [22:07:27<2:45:34,  7.83s/it]
                                                         
{'loss': 1.9889, 'grad_norm': 4.619884014129639, 'learning_rate': 2.1692165027446032e-06, 'epoch': 0.08}

 87%|████████▋ | 8731/10000 [22:07:27<2:45:34,  7.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 4
seg_loss: 0.6421365737915039, dino_loss: 0.68359375, depth_loss: 0.07924674451351166, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.594174861907959, dino_loss: 0.5625, depth_loss: 0.06574194878339767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8732/10000 [22:07:37<2:56:34,  8.35s/it]
                                                         
{'loss': 1.6578, 'grad_norm': 3.2963953018188477, 'learning_rate': 2.1658492906314334e-06, 'epoch': 0.08}

 87%|████████▋ | 8732/10000 [22:07:37<2:56:34,  8.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8738518953323364, dino_loss: 0.68359375, depth_loss: 0.08219331502914429, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9278110265731812, dino_loss: 0.66015625, depth_loss: 0.052229538559913635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8733/10000 [22:07:46<2:59:36,  8.51s/it]
                                                         
{'loss': 2.2072, 'grad_norm': 4.529813289642334, 'learning_rate': 2.1624845756266584e-06, 'epoch': 0.08}

 87%|████████▋ | 8733/10000 [22:07:46<2:59:36,  8.51s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.06324079632759094, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.137017846107483, dino_loss: 0.640625, depth_loss: 0.06074455380439758, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8734/10000 [22:07:50<2:33:33,  7.28s/it]
                                                         
{'loss': 1.9003, 'grad_norm': 2.346102237701416, 'learning_rate': 2.1591223580982285e-06, 'epoch': 0.08}

 87%|████████▋ | 8734/10000 [22:07:50<2:33:33,  7.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.718376636505127, dino_loss: 0.71484375, depth_loss: 0.058897193521261215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.5553064346313477, dino_loss: 0.80078125, depth_loss: 0.04789574444293976, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8735/10000 [22:07:57<2:33:19,  7.27s/it]
                                                         
{'loss': 1.9898, 'grad_norm': 3.7260990142822266, 'learning_rate': 2.155762638413841e-06, 'epoch': 0.08}

 87%|████████▋ | 8735/10000 [22:07:57<2:33:19,  7.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9796716570854187, dino_loss: 0.6484375, depth_loss: 0.047869715839624405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7070373296737671, dino_loss: 0.671875, depth_loss: 0.08688369393348694, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8736/10000 [22:08:05<2:33:29,  7.29s/it]
                                                         
{'loss': 2.5429, 'grad_norm': 1.7078620195388794, 'learning_rate': 2.152405416940903e-06, 'epoch': 0.08}

 87%|████████▋ | 8736/10000 [22:08:05<2:33:29,  7.29s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8330972194671631, dino_loss: 0.68359375, depth_loss: 0.058697618544101715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8192222714424133, dino_loss: 0.65625, depth_loss: 0.06394409388303757, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8737/10000 [22:08:14<2:49:10,  8.04s/it]
                                                         
{'loss': 2.2714, 'grad_norm': 3.2327628135681152, 'learning_rate': 2.149050694046559e-06, 'epoch': 0.08}

 87%|████████▋ | 8737/10000 [22:08:14<2:49:10,  8.04s/it]the number of masks: 8
seg_loss: 0.8129056096076965, dino_loss: 0.72265625, depth_loss: 0.06484287977218628, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9582048654556274, dino_loss: 0.703125, depth_loss: 0.09776637703180313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8738/10000 [22:08:21<2:40:54,  7.65s/it]
                                                         
{'loss': 2.4469, 'grad_norm': 6.129174709320068, 'learning_rate': 2.1456984700976733e-06, 'epoch': 0.08}

 87%|████████▋ | 8738/10000 [22:08:21<2:40:54,  7.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7329024076461792, dino_loss: 0.703125, depth_loss: 0.0693764016032219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9347309470176697, dino_loss: 0.796875, depth_loss: 0.0585566908121109, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8739/10000 [22:08:30<2:46:10,  7.91s/it]
                                                         
{'loss': 2.5574, 'grad_norm': 3.6293954849243164, 'learning_rate': 2.1423487454608455e-06, 'epoch': 0.08}

 87%|████████▋ | 8739/10000 [22:08:30<2:46:10,  7.91s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7829151153564453, dino_loss: 0.8046875, depth_loss: 0.07571837306022644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7647874355316162, dino_loss: 0.640625, depth_loss: 0.04882201552391052, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8740/10000 [22:08:37<2:44:31,  7.83s/it]
                                                         
{'loss': 2.2452, 'grad_norm': 5.116632461547852, 'learning_rate': 2.13900152050239e-06, 'epoch': 0.08}

 87%|████████▋ | 8740/10000 [22:08:37<2:44:31,  7.83s/it]the number of masks: 8
seg_loss: 1.0230923891067505, dino_loss: 0.7265625, depth_loss: 0.06738711148500443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.42260605096817017, dino_loss: 0.0, depth_loss: 0.054086729884147644, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8741/10000 [22:08:43<2:30:58,  7.20s/it]
                                                         
{'loss': 1.9518, 'grad_norm': 1.8477425575256348, 'learning_rate': 2.1356567955883616e-06, 'epoch': 0.08}

 87%|████████▋ | 8741/10000 [22:08:43<2:30:58,  7.20s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5849037170410156, dino_loss: 0.5078125, depth_loss: 0.04485715180635452, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8556920886039734, dino_loss: 0.69921875, depth_loss: 0.060070328414440155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8742/10000 [22:08:52<2:38:26,  7.56s/it]
                                                         
{'loss': 2.3252, 'grad_norm': 3.2411482334136963, 'learning_rate': 2.1323145710845232e-06, 'epoch': 0.08}

 87%|████████▋ | 8742/10000 [22:08:52<2:38:26,  7.56s/it]the number of masks: 8
seg_loss: 0.6670577526092529, dino_loss: 0.71484375, depth_loss: 0.06890467554330826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.937318742275238, dino_loss: 0.61328125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8743/10000 [22:08:59<2:39:30,  7.61s/it]
                                                         
{'loss': 1.9338, 'grad_norm': 11.112865447998047, 'learning_rate': 2.1289748473563855e-06, 'epoch': 0.08}

 87%|████████▋ | 8743/10000 [22:08:59<2:39:30,  7.61s/it]seg_loss: 0.0, dino_loss: 0.7890625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8188222646713257, dino_loss: 0.59765625, depth_loss: 0.0543614961206913, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8744/10000 [22:09:08<2:44:17,  7.85s/it]
                                                         
{'loss': 2.1381, 'grad_norm': 1.650083303451538, 'learning_rate': 2.125637624769172e-06, 'epoch': 0.08}

 87%|████████▋ | 8744/10000 [22:09:08<2:44:17,  7.85s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8423138856887817, dino_loss: 0.6953125, depth_loss: 0.058973267674446106, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9934804439544678, dino_loss: 0.58203125, depth_loss: 0.07273054122924805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8745/10000 [22:09:15<2:43:41,  7.83s/it]
                                                         
{'loss': 2.5938, 'grad_norm': 3.0696539878845215, 'learning_rate': 2.1223029036878395e-06, 'epoch': 0.08}

 87%|████████▋ | 8745/10000 [22:09:15<2:43:41,  7.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.683571457862854, dino_loss: 0.5625, depth_loss: 0.04725402593612671, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9261404871940613, dino_loss: 0.63671875, depth_loss: 0.07102499902248383, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8746/10000 [22:09:24<2:51:02,  8.18s/it]
                                                         
{'loss': 1.8456, 'grad_norm': 2.6109564304351807, 'learning_rate': 2.118970684477062e-06, 'epoch': 0.08}

 87%|████████▋ | 8746/10000 [22:09:24<2:51:02,  8.18s/it]the number of masks: 8
seg_loss: 0.9006293416023254, dino_loss: 0.65625, depth_loss: 0.06481561809778214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.839873194694519, dino_loss: 0.8125, depth_loss: 0.07532546669244766, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8747/10000 [22:09:33<2:52:32,  8.26s/it]
                                                         
{'loss': 2.7839, 'grad_norm': 3.499361991882324, 'learning_rate': 2.1156409675012535e-06, 'epoch': 0.08}

 87%|████████▋ | 8747/10000 [22:09:33<2:52:32,  8.26s/it]seg_loss: 0.0, dino_loss: 0.7265625, depth_loss: 0.04905065521597862, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
seg_loss: 0.7190226316452026, dino_loss: 0.65625, depth_loss: 0.07312396168708801, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8748/10000 [22:09:39<2:36:00,  7.48s/it]
                                                         
{'loss': 2.1828, 'grad_norm': 2.5296263694763184, 'learning_rate': 2.112313753124537e-06, 'epoch': 0.08}

 87%|████████▋ | 8748/10000 [22:09:39<2:36:00,  7.48s/it]the number of masks: 8
seg_loss: 0.7558151483535767, dino_loss: 0.63671875, depth_loss: 0.06330659985542297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.48875513672828674, dino_loss: 0.578125, depth_loss: 0.032452601939439774, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 87%|████████▋ | 8749/10000 [22:09:46<2:37:01,  7.53s/it]
                                                         
{'loss': 2.205, 'grad_norm': 2.19571852684021, 'learning_rate': 2.1089890417107792e-06, 'epoch': 0.08}

 87%|████████▋ | 8749/10000 [22:09:46<2:37:01,  7.53s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7644178867340088, dino_loss: 0.63671875, depth_loss: 0.054022304713726044, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8249453902244568, dino_loss: 0.7109375, depth_loss: 0.05293603613972664, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8750/10000 [22:09:54<2:38:04,  7.59s/it]
                                                         
{'loss': 2.3149, 'grad_norm': 6.18999719619751, 'learning_rate': 2.1056668336235622e-06, 'epoch': 0.08}

 88%|████████▊ | 8750/10000 [22:09:54<2:38:04,  7.59s/it]the number of masks: 8
seg_loss: 0.47636187076568604, dino_loss: 0.6875, depth_loss: 0.05745561420917511, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8289271593093872, dino_loss: 0.5859375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8751/10000 [22:10:01<2:36:21,  7.51s/it]
                                                         
{'loss': 2.5373, 'grad_norm': 3.546966314315796, 'learning_rate': 2.1023471292262064e-06, 'epoch': 0.08}

 88%|████████▊ | 8751/10000 [22:10:01<2:36:21,  7.51s/it]the number of masks: 8
seg_loss: 0.6386855840682983, dino_loss: 0.7265625, depth_loss: 0.04817327857017517, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9627754092216492, dino_loss: 0.7578125, depth_loss: 0.05621802806854248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8752/10000 [22:10:10<2:44:11,  7.89s/it]
                                                         
{'loss': 2.4037, 'grad_norm': 5.774619102478027, 'learning_rate': 2.099029928881735e-06, 'epoch': 0.08}

 88%|████████▊ | 8752/10000 [22:10:10<2:44:11,  7.89s/it]the number of masks: 8
seg_loss: 0.9364778995513916, dino_loss: 0.69921875, depth_loss: 0.06394164264202118, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9680590629577637, dino_loss: 0.78125, depth_loss: 0.06902927905321121, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8753/10000 [22:10:19<2:50:20,  8.20s/it]
                                                         
{'loss': 2.808, 'grad_norm': 4.022884845733643, 'learning_rate': 2.0957152329529217e-06, 'epoch': 0.08}

 88%|████████▊ | 8753/10000 [22:10:19<2:50:20,  8.20s/it]the number of masks: 8
seg_loss: 0.886074960231781, dino_loss: 0.69140625, depth_loss: 0.04057538881897926, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0027978420257568, dino_loss: 0.6796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8754/10000 [22:10:26<2:43:16,  7.86s/it]
                                                         
{'loss': 2.8236, 'grad_norm': 2.690366506576538, 'learning_rate': 2.092403041802257e-06, 'epoch': 0.08}

 88%|████████▊ | 8754/10000 [22:10:26<2:43:16,  7.86s/it]the number of masks: 8
seg_loss: 1.0354446172714233, dino_loss: 0.66796875, depth_loss: 0.08354564756155014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7177540063858032, dino_loss: 0.6796875, depth_loss: 0.0662074014544487, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8755/10000 [22:10:34<2:42:19,  7.82s/it]
                                                         
{'loss': 2.4833, 'grad_norm': 21.693025588989258, 'learning_rate': 2.089093355791952e-06, 'epoch': 0.08}

 88%|████████▊ | 8755/10000 [22:10:34<2:42:19,  7.82s/it]the number of masks: 8
seg_loss: 0.8837951421737671, dino_loss: 0.7109375, depth_loss: 0.10059651732444763, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.3469753563404083, dino_loss: 0.6171875, depth_loss: 0.02582557126879692, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8756/10000 [22:10:40<2:32:53,  7.37s/it]
                                                         
{'loss': 1.8424, 'grad_norm': 6.8507609367370605, 'learning_rate': 2.085786175283949e-06, 'epoch': 0.08}

 88%|████████▊ | 8756/10000 [22:10:40<2:32:53,  7.37s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9354145526885986, dino_loss: 0.7265625, depth_loss: 0.06750951707363129, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9263680577278137, dino_loss: 0.7109375, depth_loss: 0.04765671119093895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8757/10000 [22:10:47<2:28:45,  7.18s/it]
                                                         
{'loss': 2.6504, 'grad_norm': 3.573638677597046, 'learning_rate': 2.0824815006399213e-06, 'epoch': 0.08}

 88%|████████▊ | 8757/10000 [22:10:47<2:28:45,  7.18s/it]the number of masks: 8
seg_loss: 1.159340739250183, dino_loss: 0.6328125, depth_loss: 0.06091509014368057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7767709493637085, dino_loss: 0.50390625, depth_loss: 0.050857752561569214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8758/10000 [22:10:55<2:34:32,  7.47s/it]
                                                         
{'loss': 2.5256, 'grad_norm': 6.242717266082764, 'learning_rate': 2.079179332221265e-06, 'epoch': 0.08}

 88%|████████▊ | 8758/10000 [22:10:55<2:34:32,  7.47s/it]seg_loss: 0.0, dino_loss: 0.734375, depth_loss: 0.06196606904268265, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9663671851158142, dino_loss: 0.734375, depth_loss: 0.048770710825920105, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8759/10000 [22:11:00<2:21:52,  6.86s/it]
                                                         
{'loss': 1.6919, 'grad_norm': 4.0632219314575195, 'learning_rate': 2.075879670389089e-06, 'epoch': 0.08}

 88%|████████▊ | 8759/10000 [22:11:00<2:21:52,  6.86s/it]the number of masks: 8
seg_loss: 0.5681162476539612, dino_loss: 0.65234375, depth_loss: 0.042836979031562805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8480716943740845, dino_loss: 0.55859375, depth_loss: 0.05016160011291504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8760/10000 [22:11:08<2:28:45,  7.20s/it]
                                                         
{'loss': 2.076, 'grad_norm': 3.004756212234497, 'learning_rate': 2.072582515504254e-06, 'epoch': 0.08}

 88%|████████▊ | 8760/10000 [22:11:08<2:28:45,  7.20s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5995380878448486, dino_loss: 0.50390625, depth_loss: 0.043939776718616486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8304065465927124, dino_loss: 0.703125, depth_loss: 0.05657636746764183, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8761/10000 [22:11:16<2:29:16,  7.23s/it]
                                                         
{'loss': 2.4533, 'grad_norm': 7.842094421386719, 'learning_rate': 2.0692878679273164e-06, 'epoch': 0.08}

 88%|████████▊ | 8761/10000 [22:11:16<2:29:16,  7.23s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9252511262893677, dino_loss: 0.66796875, depth_loss: 0.030043434351682663, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9071989059448242, dino_loss: 0.66796875, depth_loss: 0.05410850793123245, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8762/10000 [22:11:25<2:40:56,  7.80s/it]
                                                         
{'loss': 2.6315, 'grad_norm': 2.9226362705230713, 'learning_rate': 2.0659957280185856e-06, 'epoch': 0.08}

 88%|████████▊ | 8762/10000 [22:11:25<2:40:56,  7.80s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8042551875114441, dino_loss: 0.65625, depth_loss: 0.05227341502904892, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.782751202583313, dino_loss: 0.76171875, depth_loss: 0.06773623824119568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8763/10000 [22:11:34<2:48:04,  8.15s/it]
                                                         
{'loss': 1.9699, 'grad_norm': 2.889894723892212, 'learning_rate': 2.0627060961380785e-06, 'epoch': 0.08}

 88%|████████▊ | 8763/10000 [22:11:34<2:48:04,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8417083621025085, dino_loss: 0.66015625, depth_loss: 0.06195855140686035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8982164263725281, dino_loss: 0.73828125, depth_loss: 0.05444034934043884, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8764/10000 [22:11:47<3:16:56,  9.56s/it]
                                                         
{'loss': 2.2265, 'grad_norm': 2.743306875228882, 'learning_rate': 2.059418972645552e-06, 'epoch': 0.08}

 88%|████████▊ | 8764/10000 [22:11:47<3:16:56,  9.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7713496088981628, dino_loss: 0.59375, depth_loss: 0.06472989171743393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7020772695541382, dino_loss: 0.640625, depth_loss: 0.051923394203186035, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8765/10000 [22:11:56<3:15:51,  9.52s/it]
                                                         
{'loss': 2.1509, 'grad_norm': 7.355280876159668, 'learning_rate': 2.0561343579004715e-06, 'epoch': 0.08}

 88%|████████▊ | 8765/10000 [22:11:56<3:15:51,  9.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8836910128593445, dino_loss: 0.625, depth_loss: 0.08231890201568604, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.898257851600647, dino_loss: 0.67578125, depth_loss: 0.05738978087902069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8766/10000 [22:12:05<3:11:43,  9.32s/it]
                                                         
{'loss': 2.5397, 'grad_norm': 7.239351749420166, 'learning_rate': 2.052852252262047e-06, 'epoch': 0.08}

 88%|████████▊ | 8766/10000 [22:12:05<3:11:43,  9.32s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8529685139656067, dino_loss: 0.7109375, depth_loss: 0.08504773676395416, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0132471323013306, dino_loss: 0.6796875, depth_loss: 0.05562582612037659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8767/10000 [22:12:14<3:09:20,  9.21s/it]
                                                         
{'loss': 2.4527, 'grad_norm': 5.258067607879639, 'learning_rate': 2.0495726560891936e-06, 'epoch': 0.08}

 88%|████████▊ | 8767/10000 [22:12:14<3:09:20,  9.21s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8905746936798096, dino_loss: 0.70703125, depth_loss: 0.07617389410734177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8284017443656921, dino_loss: 0.79296875, depth_loss: 0.0974159836769104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8768/10000 [22:12:21<2:56:14,  8.58s/it]
                                                         
{'loss': 2.0428, 'grad_norm': 3.162231922149658, 'learning_rate': 2.046295569740572e-06, 'epoch': 0.08}

 88%|████████▊ | 8768/10000 [22:12:21<2:56:14,  8.58s/it]the number of masks: 8
the number of masks: 3
seg_loss: 0.5958235859870911, dino_loss: 0.6875, depth_loss: 0.059042856097221375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9040603637695312, dino_loss: 0.68359375, depth_loss: 0.044301316142082214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8769/10000 [22:12:33<3:15:00,  9.51s/it]
                                                         
{'loss': 2.0064, 'grad_norm': 3.9303698539733887, 'learning_rate': 2.0430209935745543e-06, 'epoch': 0.08}

 88%|████████▊ | 8769/10000 [22:12:33<3:15:00,  9.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.921864926815033, dino_loss: 0.6875, depth_loss: 0.06300283968448639, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9589626789093018, dino_loss: 0.6484375, depth_loss: 0.053310565650463104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8770/10000 [22:12:44<3:25:10, 10.01s/it]
                                                         
{'loss': 2.3748, 'grad_norm': 3.8347175121307373, 'learning_rate': 2.0397489279492506e-06, 'epoch': 0.08}

 88%|████████▊ | 8770/10000 [22:12:44<3:25:10, 10.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7369248867034912, dino_loss: 0.7265625, depth_loss: 0.07724162936210632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7487305402755737, dino_loss: 0.5, depth_loss: 0.047057412564754486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8771/10000 [22:12:53<3:17:23,  9.64s/it]
                                                         
{'loss': 2.1066, 'grad_norm': 4.808876037597656, 'learning_rate': 2.0364793732224803e-06, 'epoch': 0.08}

 88%|████████▊ | 8771/10000 [22:12:53<3:17:23,  9.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6550451517105103, dino_loss: 0.58984375, depth_loss: 0.03554929792881012, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.734375, depth_loss: 0.05601325258612633, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8772/10000 [22:12:59<2:58:14,  8.71s/it]
                                                         
{'loss': 1.9445, 'grad_norm': 3.2176620960235596, 'learning_rate': 2.033212329751805e-06, 'epoch': 0.08}

 88%|████████▊ | 8772/10000 [22:12:59<2:58:14,  8.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.864699125289917, dino_loss: 0.66796875, depth_loss: 0.07159294188022614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8656215071678162, dino_loss: 0.6640625, depth_loss: 0.054073166102170944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8773/10000 [22:13:09<3:04:52,  9.04s/it]
                                                         
{'loss': 2.2146, 'grad_norm': 3.7078874111175537, 'learning_rate': 2.0299477978944938e-06, 'epoch': 0.08}

 88%|████████▊ | 8773/10000 [22:13:09<3:04:52,  9.04s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8126943111419678, dino_loss: 0.6953125, depth_loss: 0.08794350922107697, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9771217107772827, dino_loss: 0.66015625, depth_loss: 0.05264732241630554, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8774/10000 [22:13:19<3:08:52,  9.24s/it]
                                                         
{'loss': 1.9018, 'grad_norm': 3.7796711921691895, 'learning_rate': 2.026685778007556e-06, 'epoch': 0.08}

 88%|████████▊ | 8774/10000 [22:13:19<3:08:52,  9.24s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.712751030921936, dino_loss: 0.69140625, depth_loss: 0.0634646788239479, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8015620708465576, dino_loss: 0.69921875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8775/10000 [22:13:28<3:08:46,  9.25s/it]
                                                         
{'loss': 2.3289, 'grad_norm': 3.7454779148101807, 'learning_rate': 2.023426270447723e-06, 'epoch': 0.08}

 88%|████████▊ | 8775/10000 [22:13:28<3:08:46,  9.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8210203647613525, dino_loss: 0.66015625, depth_loss: 0.055609144270420074, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.2642532587051392, dino_loss: 0.6953125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8776/10000 [22:13:38<3:15:39,  9.59s/it]
                                                         
{'loss': 2.4477, 'grad_norm': 4.7223076820373535, 'learning_rate': 2.0201692755714514e-06, 'epoch': 0.08}

 88%|████████▊ | 8776/10000 [22:13:38<3:15:39,  9.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8606463670730591, dino_loss: 0.73046875, depth_loss: 0.07356512546539307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7677919268608093, dino_loss: 0.0, depth_loss: 0.04776002839207649, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8777/10000 [22:13:48<3:16:34,  9.64s/it]
                                                         
{'loss': 2.1979, 'grad_norm': 1.7208670377731323, 'learning_rate': 2.016914793734914e-06, 'epoch': 0.08}

 88%|████████▊ | 8777/10000 [22:13:48<3:16:34,  9.64s/it]seg_loss: 0.0, dino_loss: 0.63671875, depth_loss: 0.05731162428855896, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 3
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7247900366783142, dino_loss: 0.71875, depth_loss: 0.04723691940307617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8778/10000 [22:13:56<3:06:19,  9.15s/it]
                                                         
{'loss': 1.4696, 'grad_norm': 3.9523448944091797, 'learning_rate': 2.0136628252940217e-06, 'epoch': 0.08}

 88%|████████▊ | 8778/10000 [22:13:56<3:06:19,  9.15s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9854533672332764, dino_loss: 0.65625, depth_loss: 0.07406135648488998, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6186709403991699, dino_loss: 0.78515625, depth_loss: 0.032124195247888565, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8779/10000 [22:14:05<3:03:25,  9.01s/it]
                                                         
{'loss': 2.2149, 'grad_norm': 2.077744483947754, 'learning_rate': 2.0104133706044053e-06, 'epoch': 0.08}

 88%|████████▊ | 8779/10000 [22:14:05<3:03:25,  9.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8975027203559875, dino_loss: 0.66796875, depth_loss: 0.04510516673326492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.074345588684082, dino_loss: 0.65234375, depth_loss: 0.0652473121881485, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8780/10000 [22:14:13<2:57:58,  8.75s/it]
                                                         
{'loss': 2.2311, 'grad_norm': 4.283927917480469, 'learning_rate': 2.007166430021415e-06, 'epoch': 0.08}

 88%|████████▊ | 8780/10000 [22:14:13<2:57:58,  8.75s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.697402834892273, dino_loss: 0.5, depth_loss: 0.05799756571650505, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7437755465507507, dino_loss: 0.640625, depth_loss: 0.0593482181429863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8781/10000 [22:14:22<2:59:41,  8.84s/it]
                                                         
{'loss': 1.9366, 'grad_norm': 2.751371383666992, 'learning_rate': 2.0039220039001354e-06, 'epoch': 0.08}

 88%|████████▊ | 8781/10000 [22:14:22<2:59:41,  8.84s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.4981369972229004, dino_loss: 0.5, depth_loss: 0.03376799076795578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7724621891975403, dino_loss: 0.70703125, depth_loss: 0.05796331167221069, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8782/10000 [22:14:30<2:55:10,  8.63s/it]
                                                         
{'loss': 1.5109, 'grad_norm': 2.6494383811950684, 'learning_rate': 2.0006800925953722e-06, 'epoch': 0.08}

 88%|████████▊ | 8782/10000 [22:14:30<2:55:10,  8.63s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8912332057952881, dino_loss: 0.68359375, depth_loss: 0.06391578912734985, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9590573310852051, dino_loss: 0.67578125, depth_loss: 0.06864488124847412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8783/10000 [22:14:40<3:02:44,  9.01s/it]
                                                         
{'loss': 2.2909, 'grad_norm': 4.000742435455322, 'learning_rate': 1.9974406964616583e-06, 'epoch': 0.08}

 88%|████████▊ | 8783/10000 [22:14:40<3:02:44,  9.01s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6241890788078308, dino_loss: 0.68359375, depth_loss: 0.060739919543266296, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8717395663261414, dino_loss: 0.67578125, depth_loss: 0.06452161818742752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8784/10000 [22:14:50<3:10:05,  9.38s/it]
                                                         
{'loss': 1.8439, 'grad_norm': 9.422126770019531, 'learning_rate': 1.9942038158532407e-06, 'epoch': 0.08}

 88%|████████▊ | 8784/10000 [22:14:50<3:10:05,  9.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.909460723400116, dino_loss: 0.69140625, depth_loss: 0.05328110232949257, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8371055722236633, dino_loss: 0.58203125, depth_loss: 0.050062596797943115, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8785/10000 [22:14:58<2:58:48,  8.83s/it]
                                                         
{'loss': 1.6653, 'grad_norm': 3.26308536529541, 'learning_rate': 1.990969451124111e-06, 'epoch': 0.08}

 88%|████████▊ | 8785/10000 [22:14:58<2:58:48,  8.83s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8651120066642761, dino_loss: 0.73046875, depth_loss: 0.05704224854707718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.0136936902999878, dino_loss: 0.671875, depth_loss: 0.054516926407814026, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8786/10000 [22:15:05<2:51:37,  8.48s/it]
                                                         
{'loss': 2.632, 'grad_norm': 6.215078353881836, 'learning_rate': 1.9877376026279647e-06, 'epoch': 0.08}

 88%|████████▊ | 8786/10000 [22:15:05<2:51:37,  8.48s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.1032130718231201, dino_loss: 0.671875, depth_loss: 0.05169844627380371, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8188326358795166, dino_loss: 0.0, depth_loss: 0.05032315105199814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8787/10000 [22:15:16<3:06:00,  9.20s/it]
                                                         
{'loss': 2.4654, 'grad_norm': 3.92755389213562, 'learning_rate': 1.984508270718238e-06, 'epoch': 0.08}

 88%|████████▊ | 8787/10000 [22:15:16<3:06:00,  9.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.754791259765625, dino_loss: 0.66796875, depth_loss: 0.06172351911664009, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.214123010635376, dino_loss: 0.63671875, depth_loss: 0.05774229019880295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8788/10000 [22:15:28<3:18:16,  9.82s/it]
                                                         
{'loss': 2.4054, 'grad_norm': 10.484195709228516, 'learning_rate': 1.981281455748077e-06, 'epoch': 0.08}

 88%|████████▊ | 8788/10000 [22:15:28<3:18:16,  9.82s/it]the number of masks: 8
seg_loss: 0.4235652685165405, dino_loss: 0.60546875, depth_loss: 0.05592678487300873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.584717869758606, dino_loss: 0.57421875, depth_loss: 0.04534485191106796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8789/10000 [22:15:35<3:01:39,  9.00s/it]
                                                         
{'loss': 1.8551, 'grad_norm': 2.1222846508026123, 'learning_rate': 1.978057158070373e-06, 'epoch': 0.08}

 88%|████████▊ | 8789/10000 [22:15:35<3:01:39,  9.00s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8812691569328308, dino_loss: 0.71875, depth_loss: 0.0806981548666954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0142576694488525, dino_loss: 0.73828125, depth_loss: 0.06550585478544235, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8790/10000 [22:15:45<3:08:07,  9.33s/it]
                                                         
{'loss': 2.1072, 'grad_norm': 4.19882345199585, 'learning_rate': 1.9748353780377234e-06, 'epoch': 0.08}

 88%|████████▊ | 8790/10000 [22:15:45<3:08:07,  9.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8227736949920654, dino_loss: 0.66796875, depth_loss: 0.06219647824764252, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8218674063682556, dino_loss: 0.6328125, depth_loss: 0.08601335436105728, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8791/10000 [22:15:54<3:06:55,  9.28s/it]
                                                         
{'loss': 2.4583, 'grad_norm': 7.335556507110596, 'learning_rate': 1.9716161160024644e-06, 'epoch': 0.08}

 88%|████████▊ | 8791/10000 [22:15:54<3:06:55,  9.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9664009809494019, dino_loss: 0.671875, depth_loss: 0.067325659096241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6938404440879822, dino_loss: 0.609375, depth_loss: 0.0651409700512886, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8792/10000 [22:16:03<3:06:37,  9.27s/it]
                                                         
{'loss': 2.2366, 'grad_norm': 3.5843887329101562, 'learning_rate': 1.96839937231664e-06, 'epoch': 0.08}

 88%|████████▊ | 8792/10000 [22:16:03<3:06:37,  9.27s/it]the number of masks: 8
seg_loss: 0.7618366479873657, dino_loss: 0.65625, depth_loss: 0.06534767895936966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7751056551933289, dino_loss: 0.671875, depth_loss: 0.07798305153846741, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8793/10000 [22:16:12<3:06:11,  9.26s/it]
                                                         
{'loss': 2.1867, 'grad_norm': 4.654723167419434, 'learning_rate': 1.9651851473320355e-06, 'epoch': 0.08}

 88%|████████▊ | 8793/10000 [22:16:12<3:06:11,  9.26s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6919009685516357, dino_loss: 0.6953125, depth_loss: 0.05858462676405907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8016033172607422, dino_loss: 0.60546875, depth_loss: 0.05910113826394081, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8794/10000 [22:16:23<3:12:15,  9.56s/it]
                                                         
{'loss': 1.9458, 'grad_norm': 4.929056167602539, 'learning_rate': 1.961973441400142e-06, 'epoch': 0.08}

 88%|████████▊ | 8794/10000 [22:16:23<3:12:15,  9.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8129552602767944, dino_loss: 0.6953125, depth_loss: 0.05615726113319397, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8471460938453674, dino_loss: 0.7109375, depth_loss: 0.05290258675813675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8795/10000 [22:16:32<3:10:43,  9.50s/it]
                                                         
{'loss': 1.8933, 'grad_norm': 3.2401163578033447, 'learning_rate': 1.958764254872206e-06, 'epoch': 0.08}

 88%|████████▊ | 8795/10000 [22:16:32<3:10:43,  9.50s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0312328338623047, dino_loss: 0.69921875, depth_loss: 0.06385543942451477, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9802694320678711, dino_loss: 0.7109375, depth_loss: 0.06783884763717651, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8796/10000 [22:16:42<3:10:53,  9.51s/it]
                                                         
{'loss': 2.7333, 'grad_norm': 7.866928577423096, 'learning_rate': 1.9555575880991633e-06, 'epoch': 0.08}

 88%|████████▊ | 8796/10000 [22:16:42<3:10:53,  9.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9910008311271667, dino_loss: 0.70703125, depth_loss: 0.058936379849910736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.2129666805267334, dino_loss: 0.69140625, depth_loss: 0.05933164805173874, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8797/10000 [22:16:50<3:05:51,  9.27s/it]
                                                         
{'loss': 2.4926, 'grad_norm': 6.955364227294922, 'learning_rate': 1.9523534414317006e-06, 'epoch': 0.08}

 88%|████████▊ | 8797/10000 [22:16:50<3:05:51,  9.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7588443756103516, dino_loss: 0.66796875, depth_loss: 0.05622320622205734, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8869118690490723, dino_loss: 0.73046875, depth_loss: 0.05970599502325058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8798/10000 [22:17:01<3:13:24,  9.65s/it]
                                                         
{'loss': 2.271, 'grad_norm': 5.972641468048096, 'learning_rate': 1.9491518152202096e-06, 'epoch': 0.08}

 88%|████████▊ | 8798/10000 [22:17:01<3:13:24,  9.65s/it]the number of masks: 8
seg_loss: 1.0288057327270508, dino_loss: 0.62890625, depth_loss: 0.052849240601062775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8369370698928833, dino_loss: 0.66796875, depth_loss: 0.05587485432624817, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8799/10000 [22:17:08<3:00:58,  9.04s/it]
                                                         
{'loss': 2.281, 'grad_norm': 9.825132369995117, 'learning_rate': 1.9459527098148215e-06, 'epoch': 0.08}

 88%|████████▊ | 8799/10000 [22:17:08<3:00:58,  9.04s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6838058829307556, dino_loss: 0.69140625, depth_loss: 0.05197204276919365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8570995330810547, dino_loss: 0.640625, depth_loss: 0.04090696573257446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8800/10000 [22:17:18<3:05:12,  9.26s/it]
                                                         
{'loss': 2.5292, 'grad_norm': 3.530137777328491, 'learning_rate': 1.9427561255653816e-06, 'epoch': 0.08}

 88%|████████▊ | 8800/10000 [22:17:18<3:05:12,  9.26s/it]the number of masks: 8
seg_loss: 0.9252218008041382, dino_loss: 0.6484375, depth_loss: 0.05310341715812683, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7199984192848206, dino_loss: 0.7109375, depth_loss: 0.04527267441153526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8801/10000 [22:17:25<2:50:27,  8.53s/it]
                                                         
{'loss': 2.0877, 'grad_norm': 4.344245910644531, 'learning_rate': 1.9395620628214706e-06, 'epoch': 0.08}

 88%|████████▊ | 8801/10000 [22:17:25<2:50:27,  8.53s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7560684084892273, dino_loss: 0.69140625, depth_loss: 0.06424615532159805, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.000748634338379, dino_loss: 0.68359375, depth_loss: 0.055723175406455994, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8802/10000 [22:17:35<2:58:25,  8.94s/it]
                                                         
{'loss': 2.3592, 'grad_norm': 3.9594857692718506, 'learning_rate': 1.9363705219323765e-06, 'epoch': 0.08}

 88%|████████▊ | 8802/10000 [22:17:35<2:58:25,  8.94s/it]seg_loss: 0.0, dino_loss: 0.796875, depth_loss: 0.08306130766868591, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.679476261138916, dino_loss: 0.703125, depth_loss: 0.05051271617412567, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8803/10000 [22:17:41<2:42:58,  8.17s/it]
                                                         
{'loss': 1.6926, 'grad_norm': 2.566459894180298, 'learning_rate': 1.9331815032471277e-06, 'epoch': 0.08}

 88%|████████▊ | 8803/10000 [22:17:41<2:42:58,  8.17s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0967743396759033, dino_loss: 0.6484375, depth_loss: 0.05610427260398865, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8249706029891968, dino_loss: 0.64453125, depth_loss: 0.10734310001134872, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8804/10000 [22:17:51<2:49:50,  8.52s/it]
                                                         
{'loss': 2.5403, 'grad_norm': 3.1812257766723633, 'learning_rate': 1.929995007114474e-06, 'epoch': 0.08}

 88%|████████▊ | 8804/10000 [22:17:51<2:49:50,  8.52s/it]the number of masks: 8
seg_loss: 0.34462887048721313, dino_loss: 0.515625, depth_loss: 0.04110915958881378, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0104162693023682, dino_loss: 0.6796875, depth_loss: 0.06923337280750275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8805/10000 [22:17:59<2:46:54,  8.38s/it]
                                                         
{'loss': 1.8707, 'grad_norm': 5.656289577484131, 'learning_rate': 1.9268110338828747e-06, 'epoch': 0.08}

 88%|████████▊ | 8805/10000 [22:17:59<2:46:54,  8.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.705628514289856, dino_loss: 0.58984375, depth_loss: 0.04368889331817627, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.017940878868103, dino_loss: 0.6796875, depth_loss: 0.0579555481672287, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8806/10000 [22:18:12<3:13:43,  9.73s/it]
                                                         
{'loss': 2.2682, 'grad_norm': 3.496366500854492, 'learning_rate': 1.923629583900538e-06, 'epoch': 0.08}

 88%|████████▊ | 8806/10000 [22:18:12<3:13:43,  9.73s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0266920328140259, dino_loss: 0.6953125, depth_loss: 0.060355305671691895, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9899020195007324, dino_loss: 0.70703125, depth_loss: 0.06129761040210724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8807/10000 [22:18:21<3:09:42,  9.54s/it]
                                                         
{'loss': 2.097, 'grad_norm': 3.4415435791015625, 'learning_rate': 1.920450657515366e-06, 'epoch': 0.08}

 88%|████████▊ | 8807/10000 [22:18:21<3:09:42,  9.54s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8194710612297058, dino_loss: 0.71875, depth_loss: 0.06485079973936081, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7581509351730347, dino_loss: 0.5703125, depth_loss: 0.056195735931396484, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8808/10000 [22:18:31<3:11:38,  9.65s/it]
                                                         
{'loss': 1.8913, 'grad_norm': 2.7153100967407227, 'learning_rate': 1.917274255075016e-06, 'epoch': 0.08}

 88%|████████▊ | 8808/10000 [22:18:31<3:11:38,  9.65s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9229551553726196, dino_loss: 0.67578125, depth_loss: 0.07231305539608002, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7000015377998352, dino_loss: 0.6796875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8809/10000 [22:18:39<3:03:46,  9.26s/it]
                                                         
{'loss': 2.3721, 'grad_norm': 8.34250259399414, 'learning_rate': 1.9141003769268473e-06, 'epoch': 0.08}

 88%|████████▊ | 8809/10000 [22:18:39<3:03:46,  9.26s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8124605417251587, dino_loss: 0.73046875, depth_loss: 0.054926685988903046, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8212307691574097, dino_loss: 0.5, depth_loss: 0.04524308070540428, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8810/10000 [22:18:48<3:01:33,  9.15s/it]
                                                         
{'loss': 2.0476, 'grad_norm': 3.1928722858428955, 'learning_rate': 1.9109290234179567e-06, 'epoch': 0.08}

 88%|████████▊ | 8810/10000 [22:18:48<3:01:33,  9.15s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.757781982421875, dino_loss: 0.67578125, depth_loss: 0.05679338425397873, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.47755807638168335, dino_loss: 0.6796875, depth_loss: 0.06292763352394104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8811/10000 [22:18:57<3:01:55,  9.18s/it]
                                                         
{'loss': 2.0603, 'grad_norm': 3.455483913421631, 'learning_rate': 1.90776019489515e-06, 'epoch': 0.08}

 88%|████████▊ | 8811/10000 [22:18:57<3:01:55,  9.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9562240242958069, dino_loss: 0.68359375, depth_loss: 0.0512961708009243, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7763916254043579, dino_loss: 0.6796875, depth_loss: 0.06948265433311462, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8812/10000 [22:19:06<2:58:47,  9.03s/it]
                                                         
{'loss': 2.6511, 'grad_norm': 14.502914428710938, 'learning_rate': 1.9045938917049727e-06, 'epoch': 0.08}

 88%|████████▊ | 8812/10000 [22:19:06<2:58:47,  9.03s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0544630289077759, dino_loss: 0.7734375, depth_loss: 0.06023211032152176, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8599490523338318, dino_loss: 0.60546875, depth_loss: 0.05640563368797302, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8813/10000 [22:19:16<3:03:28,  9.27s/it]
                                                         
{'loss': 2.0522, 'grad_norm': 4.30250358581543, 'learning_rate': 1.9014301141936752e-06, 'epoch': 0.08}

 88%|████████▊ | 8813/10000 [22:19:16<3:03:28,  9.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5678222179412842, dino_loss: 0.61328125, depth_loss: 0.07892514020204544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0379726886749268, dino_loss: 0.70703125, depth_loss: 0.06864018738269806, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8814/10000 [22:19:26<3:08:10,  9.52s/it]
                                                         
{'loss': 2.3691, 'grad_norm': 2.8486545085906982, 'learning_rate': 1.8982688627072615e-06, 'epoch': 0.08}

 88%|████████▊ | 8814/10000 [22:19:26<3:08:10,  9.52s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9494091272354126, dino_loss: 0.66015625, depth_loss: 0.05466990917921066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9264707565307617, dino_loss: 0.67578125, depth_loss: 0.04647676646709442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8815/10000 [22:19:38<3:23:00, 10.28s/it]
                                                         
{'loss': 2.6317, 'grad_norm': 6.245867729187012, 'learning_rate': 1.895110137591427e-06, 'epoch': 0.08}

 88%|████████▊ | 8815/10000 [22:19:38<3:23:00, 10.28s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6548348069190979, dino_loss: 0.5234375, depth_loss: 0.03999297320842743, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9710463881492615, dino_loss: 0.65625, depth_loss: 0.07420364022254944, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8816/10000 [22:19:47<3:18:04, 10.04s/it]
                                                         
{'loss': 1.777, 'grad_norm': 6.5078935623168945, 'learning_rate': 1.891953939191618e-06, 'epoch': 0.08}

 88%|████████▊ | 8816/10000 [22:19:47<3:18:04, 10.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6558448076248169, dino_loss: 0.6328125, depth_loss: 0.04389099031686783, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7589491605758667, dino_loss: 0.72265625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8817/10000 [22:19:57<3:13:54,  9.83s/it]
                                                         
{'loss': 2.0247, 'grad_norm': 5.5026164054870605, 'learning_rate': 1.8888002678529747e-06, 'epoch': 0.08}

 88%|████████▊ | 8817/10000 [22:19:57<3:13:54,  9.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9623500108718872, dino_loss: 0.73046875, depth_loss: 0.05793236196041107, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.929061770439148, dino_loss: 0.6796875, depth_loss: 0.06118568778038025, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8818/10000 [22:20:05<3:08:01,  9.54s/it]
                                                         
{'loss': 2.083, 'grad_norm': 2.5473406314849854, 'learning_rate': 1.8856491239203938e-06, 'epoch': 0.08}

 88%|████████▊ | 8818/10000 [22:20:05<3:08:01,  9.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8408715724945068, dino_loss: 0.625, depth_loss: 0.04657122120261192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6421444416046143, dino_loss: 0.64453125, depth_loss: 0.041624344885349274, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8819/10000 [22:20:17<3:22:34, 10.29s/it]
                                                         
{'loss': 1.9269, 'grad_norm': 4.874963760375977, 'learning_rate': 1.8825005077384632e-06, 'epoch': 0.08}

 88%|████████▊ | 8819/10000 [22:20:17<3:22:34, 10.29s/it]the number of masks: 8
seg_loss: 0.3037351369857788, dino_loss: 0.0, depth_loss: 0.03082367032766342, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9272553324699402, dino_loss: 0.68359375, depth_loss: 0.06625853478908539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8820/10000 [22:20:26<3:10:38,  9.69s/it]
                                                         
{'loss': 1.8057, 'grad_norm': 3.8309829235076904, 'learning_rate': 1.87935441965153e-06, 'epoch': 0.08}

 88%|████████▊ | 8820/10000 [22:20:26<3:10:38,  9.69s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6593485474586487, dino_loss: 0.63671875, depth_loss: 0.04670221731066704, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7460634708404541, dino_loss: 0.6171875, depth_loss: 0.052874185144901276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8821/10000 [22:20:36<3:16:20,  9.99s/it]
                                                         
{'loss': 2.1282, 'grad_norm': 3.052639961242676, 'learning_rate': 1.8762108600036326e-06, 'epoch': 0.08}

 88%|████████▊ | 8821/10000 [22:20:36<3:16:20,  9.99s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9195006489753723, dino_loss: 0.671875, depth_loss: 0.06924229860305786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9960594773292542, dino_loss: 0.76953125, depth_loss: 0.06973430514335632, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8822/10000 [22:20:45<3:06:10,  9.48s/it]
                                                         
{'loss': 2.209, 'grad_norm': 5.010807037353516, 'learning_rate': 1.8730698291385518e-06, 'epoch': 0.08}

 88%|████████▊ | 8822/10000 [22:20:45<3:06:10,  9.48s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9558113813400269, dino_loss: 0.80859375, depth_loss: 0.06762288510799408, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.685921311378479, dino_loss: 0.6875, depth_loss: 0.07156127691268921, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8823/10000 [22:20:53<3:00:05,  9.18s/it]
                                                         
{'loss': 2.3191, 'grad_norm': 3.9750888347625732, 'learning_rate': 1.8699313273997793e-06, 'epoch': 0.08}

 88%|████████▊ | 8823/10000 [22:20:53<3:00:05,  9.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7553280591964722, dino_loss: 0.65625, depth_loss: 0.03881331905722618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7978043556213379, dino_loss: 0.66015625, depth_loss: 0.06486427038908005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8824/10000 [22:21:02<2:55:29,  8.95s/it]
                                                         
{'loss': 2.0068, 'grad_norm': 7.189035415649414, 'learning_rate': 1.8667953551305433e-06, 'epoch': 0.08}

 88%|████████▊ | 8824/10000 [22:21:02<2:55:29,  8.95s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8572059869766235, dino_loss: 0.6953125, depth_loss: 0.08481031656265259, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8062542676925659, dino_loss: 0.66015625, depth_loss: 0.09469445794820786, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8825/10000 [22:21:12<3:03:05,  9.35s/it]
                                                         
{'loss': 2.1094, 'grad_norm': 3.4580721855163574, 'learning_rate': 1.8636619126737892e-06, 'epoch': 0.08}

 88%|████████▊ | 8825/10000 [22:21:12<3:03:05,  9.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.76326584815979, dino_loss: 0.6953125, depth_loss: 0.0687548816204071, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6603148579597473, dino_loss: 0.59375, depth_loss: 0.06438732147216797, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8826/10000 [22:21:21<3:03:44,  9.39s/it]
                                                         
{'loss': 2.0976, 'grad_norm': 3.2552571296691895, 'learning_rate': 1.8605310003721814e-06, 'epoch': 0.08}

 88%|████████▊ | 8826/10000 [22:21:21<3:03:44,  9.39s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0184377431869507, dino_loss: 0.69921875, depth_loss: 0.08264973759651184, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.995656430721283, dino_loss: 0.66796875, depth_loss: 0.04811318963766098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8827/10000 [22:21:31<3:07:18,  9.58s/it]
                                                         
{'loss': 2.6998, 'grad_norm': 4.307194709777832, 'learning_rate': 1.8574026185681105e-06, 'epoch': 0.08}

 88%|████████▊ | 8827/10000 [22:21:31<3:07:18,  9.58s/it]the number of masks: 8
seg_loss: 0.8145138621330261, dino_loss: 0.58984375, depth_loss: 0.04380914196372032, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.3241167068481445, dino_loss: 0.67578125, depth_loss: 0.07729146629571915, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8828/10000 [22:21:37<2:45:24,  8.47s/it]
                                                         
{'loss': 2.0685, 'grad_norm': 6.7170329093933105, 'learning_rate': 1.8542767676036966e-06, 'epoch': 0.08}

 88%|████████▊ | 8828/10000 [22:21:37<2:45:24,  8.47s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8740620613098145, dino_loss: 0.63671875, depth_loss: 0.042271971702575684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8506320118904114, dino_loss: 0.82421875, depth_loss: 0.07050210982561111, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8829/10000 [22:21:46<2:46:08,  8.51s/it]
                                                         
{'loss': 2.2321, 'grad_norm': 4.169135093688965, 'learning_rate': 1.8511534478207804e-06, 'epoch': 0.08}

 88%|████████▊ | 8829/10000 [22:21:46<2:46:08,  8.51s/it]the number of masks: 8
seg_loss: 0.8509826064109802, dino_loss: 0.71484375, depth_loss: 0.06388302147388458, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7390238046646118, dino_loss: 0.66796875, depth_loss: 0.06553245335817337, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8830/10000 [22:21:55<2:50:28,  8.74s/it]
                                                         
{'loss': 2.2883, 'grad_norm': 4.903590679168701, 'learning_rate': 1.8480326595609166e-06, 'epoch': 0.08}

 88%|████████▊ | 8830/10000 [22:21:55<2:50:28,  8.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7430561780929565, dino_loss: 0.65625, depth_loss: 0.057577233761548996, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8537626266479492, dino_loss: 0.64453125, depth_loss: 0.05652247369289398, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8831/10000 [22:22:05<2:58:55,  9.18s/it]
                                                         
{'loss': 2.216, 'grad_norm': 5.572279930114746, 'learning_rate': 1.8449144031653958e-06, 'epoch': 0.08}

 88%|████████▊ | 8831/10000 [22:22:05<2:58:55,  9.18s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9770745635032654, dino_loss: 0.68359375, depth_loss: 0.04654129594564438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.7421875, depth_loss: 0.043312400579452515, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8832/10000 [22:22:13<2:51:26,  8.81s/it]
                                                         
{'loss': 2.3112, 'grad_norm': 3.7341980934143066, 'learning_rate': 1.841798678975215e-06, 'epoch': 0.08}

 88%|████████▊ | 8832/10000 [22:22:13<2:51:26,  8.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8689680099487305, dino_loss: 0.67578125, depth_loss: 0.07081785053014755, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7058037519454956, dino_loss: 0.6640625, depth_loss: 0.07054027915000916, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8833/10000 [22:22:22<2:52:47,  8.88s/it]
                                                         
{'loss': 1.769, 'grad_norm': 4.141223430633545, 'learning_rate': 1.8386854873311181e-06, 'epoch': 0.08}

 88%|████████▊ | 8833/10000 [22:22:22<2:52:47,  8.88s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9472267031669617, dino_loss: 0.6640625, depth_loss: 0.07255732268095016, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.718869149684906, dino_loss: 0.62890625, depth_loss: 0.036056242883205414, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8834/10000 [22:22:30<2:46:56,  8.59s/it]
                                                         
{'loss': 2.0878, 'grad_norm': 4.75793981552124, 'learning_rate': 1.8355748285735525e-06, 'epoch': 0.08}

 88%|████████▊ | 8834/10000 [22:22:30<2:46:56,  8.59s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9311362504959106, dino_loss: 0.671875, depth_loss: 0.04806951805949211, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6449427604675293, dino_loss: 0.76171875, depth_loss: 0.057510145008563995, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8835/10000 [22:22:38<2:40:41,  8.28s/it]
                                                         
{'loss': 2.9757, 'grad_norm': 4.069258689880371, 'learning_rate': 1.832466703042701e-06, 'epoch': 0.08}

 88%|████████▊ | 8835/10000 [22:22:38<2:40:41,  8.28s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8096365928649902, dino_loss: 0.68359375, depth_loss: 0.09560440480709076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8818685412406921, dino_loss: 0.66796875, depth_loss: 0.062077902257442474, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8836/10000 [22:22:49<2:55:02,  9.02s/it]
                                                         
{'loss': 2.0245, 'grad_norm': 8.632478713989258, 'learning_rate': 1.8293611110784538e-06, 'epoch': 0.08}

 88%|████████▊ | 8836/10000 [22:22:49<2:55:02,  9.02s/it]the number of masks: 8
seg_loss: 0.8548870086669922, dino_loss: 0.69921875, depth_loss: 0.08453606814146042, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8080042600631714, dino_loss: 0.75, depth_loss: 0.06424611061811447, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8837/10000 [22:22:56<2:45:50,  8.56s/it]
                                                         
{'loss': 2.4303, 'grad_norm': 4.792255401611328, 'learning_rate': 1.8262580530204437e-06, 'epoch': 0.08}

 88%|████████▊ | 8837/10000 [22:22:56<2:45:50,  8.56s/it]the number of masks: 8
seg_loss: 0.8569808006286621, dino_loss: 0.640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 1.1119736433029175, dino_loss: 0.6796875, depth_loss: 0.05268528684973717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8838/10000 [22:23:02<2:29:51,  7.74s/it]
                                                         
{'loss': 2.5444, 'grad_norm': 9.23962116241455, 'learning_rate': 1.8231575292080027e-06, 'epoch': 0.08}

 88%|████████▊ | 8838/10000 [22:23:02<2:29:51,  7.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7854482531547546, dino_loss: 0.71484375, depth_loss: 0.05728355422616005, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.852020263671875, dino_loss: 0.6953125, depth_loss: 0.056023161858320236, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8839/10000 [22:23:12<2:43:06,  8.43s/it]
                                                         
{'loss': 1.9727, 'grad_norm': 3.8215622901916504, 'learning_rate': 1.8200595399802151e-06, 'epoch': 0.08}

 88%|████████▊ | 8839/10000 [22:23:12<2:43:06,  8.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9662425518035889, dino_loss: 0.67578125, depth_loss: 0.05776067078113556, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6761453151702881, dino_loss: 0.6796875, depth_loss: 0.04308614879846573, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8840/10000 [22:23:21<2:44:50,  8.53s/it]
                                                         
{'loss': 2.0816, 'grad_norm': 3.504272222518921, 'learning_rate': 1.8169640856758651e-06, 'epoch': 0.08}

 88%|████████▊ | 8840/10000 [22:23:21<2:44:50,  8.53s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6316908001899719, dino_loss: 0.6953125, depth_loss: 0.060561396181583405, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8284584283828735, dino_loss: 0.65234375, depth_loss: 0.06494683027267456, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8841/10000 [22:23:30<2:48:38,  8.73s/it]
                                                         
{'loss': 2.0707, 'grad_norm': 4.801305294036865, 'learning_rate': 1.8138711666334685e-06, 'epoch': 0.08}

 88%|████████▊ | 8841/10000 [22:23:30<2:48:38,  8.73s/it]the number of masks: 8
the number of masks: 3
the number of masks: 8
seg_loss: 0.663418173789978, dino_loss: 0.65625, depth_loss: 0.04791257902979851, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8907297849655151, dino_loss: 0.70703125, depth_loss: 0.05922260880470276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8842/10000 [22:23:40<2:55:56,  9.12s/it]
                                                         
{'loss': 1.9471, 'grad_norm': 4.945027828216553, 'learning_rate': 1.8107807831912598e-06, 'epoch': 0.08}

 88%|████████▊ | 8842/10000 [22:23:40<2:55:56,  9.12s/it]the number of masks: 8
seg_loss: 0.6807817816734314, dino_loss: 0.671875, depth_loss: 0.05305894464254379, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.734375, depth_loss: 0.05064406618475914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8843/10000 [22:23:46<2:36:48,  8.13s/it]
                                                         
{'loss': 2.1211, 'grad_norm': 3.2279891967773438, 'learning_rate': 1.8076929356872025e-06, 'epoch': 0.08}

 88%|████████▊ | 8843/10000 [22:23:46<2:36:48,  8.13s/it]the number of masks: 8
seg_loss: 0.31855714321136475, dino_loss: 0.498046875, depth_loss: 0.04533574730157852, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7858431339263916, dino_loss: 0.80078125, depth_loss: 0.04422672465443611, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8844/10000 [22:23:54<2:35:32,  8.07s/it]
                                                         
{'loss': 2.1011, 'grad_norm': 3.2477340698242188, 'learning_rate': 1.8046076244589732e-06, 'epoch': 0.08}

 88%|████████▊ | 8844/10000 [22:23:54<2:35:32,  8.07s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6445019245147705, dino_loss: 0.59375, depth_loss: 0.05446101725101471, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8758300542831421, dino_loss: 0.703125, depth_loss: 0.04828597232699394, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8845/10000 [22:24:01<2:31:39,  7.88s/it]
                                                         
{'loss': 2.0521, 'grad_norm': 5.451081275939941, 'learning_rate': 1.80152484984398e-06, 'epoch': 0.08}

 88%|████████▊ | 8845/10000 [22:24:01<2:31:39,  7.88s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8840526938438416, dino_loss: 0.6640625, depth_loss: 0.06133648753166199, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6373527646064758, dino_loss: 0.671875, depth_loss: 0.06878741830587387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8846/10000 [22:24:11<2:41:46,  8.41s/it]
                                                         
{'loss': 2.3018, 'grad_norm': 3.203566789627075, 'learning_rate': 1.7984446121793508e-06, 'epoch': 0.08}

 88%|████████▊ | 8846/10000 [22:24:11<2:41:46,  8.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7856143712997437, dino_loss: 0.65625, depth_loss: 0.06522716581821442, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0974700450897217, dino_loss: 0.67578125, depth_loss: 0.058818377554416656, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8847/10000 [22:24:20<2:45:12,  8.60s/it]
                                                         
{'loss': 2.3229, 'grad_norm': 3.6854214668273926, 'learning_rate': 1.7953669118019407e-06, 'epoch': 0.08}

 88%|████████▊ | 8847/10000 [22:24:20<2:45:12,  8.60s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8349251747131348, dino_loss: 0.71484375, depth_loss: 0.05838047340512276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7532488703727722, dino_loss: 0.609375, depth_loss: 0.07056448608636856, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8848/10000 [22:24:29<2:48:00,  8.75s/it]
                                                         
{'loss': 1.9385, 'grad_norm': 7.474762439727783, 'learning_rate': 1.7922917490483137e-06, 'epoch': 0.08}

 88%|████████▊ | 8848/10000 [22:24:29<2:48:00,  8.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6624581813812256, dino_loss: 0.64453125, depth_loss: 0.05804680287837982, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8008062243461609, dino_loss: 0.7109375, depth_loss: 0.07363240420818329, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8849/10000 [22:24:40<3:00:00,  9.38s/it]
                                                         
{'loss': 2.0962, 'grad_norm': 4.946099758148193, 'learning_rate': 1.789219124254768e-06, 'epoch': 0.08}

 88%|████████▊ | 8849/10000 [22:24:40<3:00:00,  9.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.685495913028717, dino_loss: 0.64453125, depth_loss: 0.05483588948845863, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7713504433631897, dino_loss: 0.68359375, depth_loss: 0.06278681755065918, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 88%|████████▊ | 8850/10000 [22:24:47<2:48:37,  8.80s/it]
                                                         
{'loss': 2.1088, 'grad_norm': 2.4181816577911377, 'learning_rate': 1.7861490377573258e-06, 'epoch': 0.08}

 88%|████████▊ | 8850/10000 [22:24:47<2:48:37,  8.80s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7043828368186951, dino_loss: 0.71484375, depth_loss: 0.06758322566747665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6501230001449585, dino_loss: 0.70703125, depth_loss: 0.06414128839969635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8851/10000 [22:24:58<3:02:03,  9.51s/it]
                                                         
{'loss': 2.5756, 'grad_norm': 6.190265655517578, 'learning_rate': 1.7830814898917192e-06, 'epoch': 0.08}

 89%|████████▊ | 8851/10000 [22:24:58<3:02:03,  9.51s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7020130157470703, dino_loss: 0.69140625, depth_loss: 0.08242562413215637, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7209182977676392, dino_loss: 0.7109375, depth_loss: 0.05848577246069908, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8852/10000 [22:25:09<3:07:16,  9.79s/it]
                                                         
{'loss': 2.0588, 'grad_norm': 2.531864881515503, 'learning_rate': 1.7800164809934157e-06, 'epoch': 0.08}

 89%|████████▊ | 8852/10000 [22:25:09<3:07:16,  9.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5629072189331055, dino_loss: 0.8203125, depth_loss: 0.06725549697875977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8625440001487732, dino_loss: 0.65234375, depth_loss: 0.0638444721698761, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8853/10000 [22:25:17<2:57:04,  9.26s/it]
                                                         
{'loss': 2.1697, 'grad_norm': 2.21793532371521, 'learning_rate': 1.7769540113975969e-06, 'epoch': 0.08}

 89%|████████▊ | 8853/10000 [22:25:17<2:57:04,  9.26s/it]the number of masks: 8
seg_loss: 0.8575559854507446, dino_loss: 0.61328125, depth_loss: 0.05229781195521355, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8220287561416626, dino_loss: 0.70703125, depth_loss: 0.05450113117694855, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8854/10000 [22:25:24<2:46:40,  8.73s/it]
                                                         
{'loss': 2.2963, 'grad_norm': 17.195472717285156, 'learning_rate': 1.7738940814391786e-06, 'epoch': 0.08}

 89%|████████▊ | 8854/10000 [22:25:24<2:46:40,  8.73s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6304399967193604, dino_loss: 0.6953125, depth_loss: 0.04409201815724373, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7138272523880005, dino_loss: 0.66015625, depth_loss: 0.057228170335292816, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8855/10000 [22:25:34<2:53:15,  9.08s/it]
                                                         
{'loss': 2.1162, 'grad_norm': 2.828075408935547, 'learning_rate': 1.770836691452779e-06, 'epoch': 0.08}

 89%|████████▊ | 8855/10000 [22:25:34<2:53:15,  9.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.775779128074646, dino_loss: 0.68359375, depth_loss: 0.09754437208175659, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7303869724273682, dino_loss: 0.70703125, depth_loss: 0.06829771399497986, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8856/10000 [22:25:44<2:57:37,  9.32s/it]
                                                         
{'loss': 2.2917, 'grad_norm': 3.7440309524536133, 'learning_rate': 1.767781841772756e-06, 'epoch': 0.08}

 89%|████████▊ | 8856/10000 [22:25:44<2:57:37,  9.32s/it]the number of masks: 8
seg_loss: 1.2046160697937012, dino_loss: 0.68359375, depth_loss: 0.055880989879369736, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8847697973251343, dino_loss: 0.7109375, depth_loss: 0.05532301217317581, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8857/10000 [22:25:53<2:57:53,  9.34s/it]
                                                         
{'loss': 2.1618, 'grad_norm': 7.250490665435791, 'learning_rate': 1.764729532733181e-06, 'epoch': 0.08}

 89%|████████▊ | 8857/10000 [22:25:53<2:57:53,  9.34s/it]the number of masks: 8
seg_loss: 0.7988913655281067, dino_loss: 0.80859375, depth_loss: 0.07049576938152313, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0476622581481934, dino_loss: 0.66015625, depth_loss: 0.06190071627497673, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8858/10000 [22:26:01<2:45:30,  8.70s/it]
                                                         
{'loss': 2.4476, 'grad_norm': 10.257245063781738, 'learning_rate': 1.7616797646678479e-06, 'epoch': 0.08}

 89%|████████▊ | 8858/10000 [22:26:01<2:45:30,  8.70s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0434473752975464, dino_loss: 0.6875, depth_loss: 0.05065598338842392, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8375006914138794, dino_loss: 0.62109375, depth_loss: 0.05378733575344086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8859/10000 [22:26:11<2:53:09,  9.11s/it]
                                                         
{'loss': 2.273, 'grad_norm': 7.698792457580566, 'learning_rate': 1.7586325379102792e-06, 'epoch': 0.08}

 89%|████████▊ | 8859/10000 [22:26:11<2:53:09,  9.11s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6297967433929443, dino_loss: 0.60546875, depth_loss: 0.05499229580163956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8420873880386353, dino_loss: 0.58984375, depth_loss: 0.046159740537405014, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8860/10000 [22:26:21<2:59:21,  9.44s/it]
                                                         
{'loss': 1.7409, 'grad_norm': 2.806318998336792, 'learning_rate': 1.7555878527937164e-06, 'epoch': 0.08}

 89%|████████▊ | 8860/10000 [22:26:21<2:59:21,  9.44s/it]the number of masks: 8
seg_loss: 0.905394434928894, dino_loss: 0.7265625, depth_loss: 0.05894939601421356, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.816338300704956, dino_loss: 0.671875, depth_loss: 0.04728315398097038, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8861/10000 [22:26:29<2:51:57,  9.06s/it]
                                                         
{'loss': 2.5745, 'grad_norm': 4.1206512451171875, 'learning_rate': 1.7525457096511156e-06, 'epoch': 0.08}

 89%|████████▊ | 8861/10000 [22:26:29<2:51:57,  9.06s/it]the number of masks: 8
seg_loss: 0.9022554159164429, dino_loss: 0.734375, depth_loss: 0.05630761384963989, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9443090558052063, dino_loss: 0.0, depth_loss: 0.06573007255792618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8862/10000 [22:26:36<2:38:08,  8.34s/it]
                                                         
{'loss': 1.9508, 'grad_norm': 6.61311674118042, 'learning_rate': 1.749506108815166e-06, 'epoch': 0.08}

 89%|████████▊ | 8862/10000 [22:26:36<2:38:08,  8.34s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.47709059715270996, dino_loss: 0.55078125, depth_loss: 0.03031172603368759, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7858771681785583, dino_loss: 0.66015625, depth_loss: 0.048753779381513596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8863/10000 [22:26:45<2:44:28,  8.68s/it]
                                                         
{'loss': 1.7866, 'grad_norm': 4.21574592590332, 'learning_rate': 1.7464690506182713e-06, 'epoch': 0.08}

 89%|████████▊ | 8863/10000 [22:26:45<2:44:28,  8.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8430206179618835, dino_loss: 0.76171875, depth_loss: 0.043666448444128036, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7702799439430237, dino_loss: 0.56640625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8864/10000 [22:26:54<2:46:49,  8.81s/it]
                                                         
{'loss': 2.4128, 'grad_norm': 6.42866849899292, 'learning_rate': 1.7434345353925573e-06, 'epoch': 0.08}

 89%|████████▊ | 8864/10000 [22:26:54<2:46:49,  8.81s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7688504457473755, dino_loss: 0.6171875, depth_loss: 0.048022568225860596, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7891370058059692, dino_loss: 0.73046875, depth_loss: 0.05492141842842102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8865/10000 [22:27:04<2:52:57,  9.14s/it]
                                                         
{'loss': 2.1123, 'grad_norm': 10.971224784851074, 'learning_rate': 1.7404025634698756e-06, 'epoch': 0.08}

 89%|████████▊ | 8865/10000 [22:27:04<2:52:57,  9.14s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9376571178436279, dino_loss: 0.69140625, depth_loss: 0.05063505470752716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6755622625350952, dino_loss: 0.703125, depth_loss: 0.0683256983757019, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8866/10000 [22:27:11<2:38:19,  8.38s/it]
                                                         
{'loss': 2.1775, 'grad_norm': 4.550272464752197, 'learning_rate': 1.7373731351818052e-06, 'epoch': 0.08}

 89%|████████▊ | 8866/10000 [22:27:11<2:38:19,  8.38s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7080901861190796, dino_loss: 0.70703125, depth_loss: 0.06487022340297699, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7420822978019714, dino_loss: 0.68359375, depth_loss: 0.04009077697992325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8867/10000 [22:27:22<2:53:19,  9.18s/it]
                                                         
{'loss': 1.8663, 'grad_norm': 2.8110740184783936, 'learning_rate': 1.7343462508596308e-06, 'epoch': 0.08}

 89%|████████▊ | 8867/10000 [22:27:22<2:53:19,  9.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8556810617446899, dino_loss: 0.6640625, depth_loss: 0.0452781543135643, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9745649099349976, dino_loss: 0.62890625, depth_loss: 0.057508062571287155, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8868/10000 [22:27:31<2:54:51,  9.27s/it]
                                                         
{'loss': 2.5048, 'grad_norm': 3.3683278560638428, 'learning_rate': 1.7313219108343742e-06, 'epoch': 0.08}

 89%|████████▊ | 8868/10000 [22:27:31<2:54:51,  9.27s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6781953573226929, dino_loss: 0.69140625, depth_loss: 0.055562637746334076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.773473858833313, dino_loss: 0.6796875, depth_loss: 0.06306102126836777, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8869/10000 [22:27:40<2:53:32,  9.21s/it]
                                                         
{'loss': 2.1184, 'grad_norm': 4.479501247406006, 'learning_rate': 1.728300115436765e-06, 'epoch': 0.08}

 89%|████████▊ | 8869/10000 [22:27:40<2:53:32,  9.21s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6890568733215332, dino_loss: 0.5859375, depth_loss: 0.07045572996139526, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9583742618560791, dino_loss: 0.71875, depth_loss: 0.08164355903863907, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8870/10000 [22:27:49<2:50:15,  9.04s/it]
                                                         
{'loss': 2.545, 'grad_norm': 3.690239906311035, 'learning_rate': 1.7252808649972668e-06, 'epoch': 0.08}

 89%|████████▊ | 8870/10000 [22:27:49<2:50:15,  9.04s/it]the number of masks: 8
seg_loss: 0.732377290725708, dino_loss: 0.69921875, depth_loss: 0.0658785030245781, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8782487511634827, dino_loss: 0.6484375, depth_loss: 0.056120604276657104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8871/10000 [22:27:59<2:54:06,  9.25s/it]
                                                         
{'loss': 2.3377, 'grad_norm': 3.727771043777466, 'learning_rate': 1.7222641598460598e-06, 'epoch': 0.08}

 89%|████████▊ | 8871/10000 [22:27:59<2:54:06,  9.25s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9912694692611694, dino_loss: 0.7265625, depth_loss: 0.07818879187107086, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.050596833229065, dino_loss: 0.64453125, depth_loss: 0.04232752323150635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8872/10000 [22:28:07<2:49:47,  9.03s/it]
                                                         
{'loss': 2.6852, 'grad_norm': 9.900787353515625, 'learning_rate': 1.7192500003130525e-06, 'epoch': 0.08}

 89%|████████▊ | 8872/10000 [22:28:07<2:49:47,  9.03s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.704005241394043, dino_loss: 0.67578125, depth_loss: 0.04570654779672623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.576840877532959, dino_loss: 0.59765625, depth_loss: 0.03331763297319412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8873/10000 [22:28:18<3:00:20,  9.60s/it]
                                                         
{'loss': 2.3098, 'grad_norm': 4.371764659881592, 'learning_rate': 1.716238386727856e-06, 'epoch': 0.08}

 89%|████████▊ | 8873/10000 [22:28:18<3:00:20,  9.60s/it]the number of masks: 8
seg_loss: 0.8077200055122375, dino_loss: 0.6484375, depth_loss: 0.03588668256998062, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9349057674407959, dino_loss: 0.70703125, depth_loss: 0.05631745606660843, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▊ | 8874/10000 [22:28:27<2:56:18,  9.39s/it]
                                                         
{'loss': 1.924, 'grad_norm': 2.6950738430023193, 'learning_rate': 1.7132293194198263e-06, 'epoch': 0.08}

 89%|████████▊ | 8874/10000 [22:28:27<2:56:18,  9.39s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8999025821685791, dino_loss: 0.6640625, depth_loss: 0.05164685845375061, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8364590406417847, dino_loss: 0.65625, depth_loss: 0.06674450635910034, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8875/10000 [22:28:36<2:50:45,  9.11s/it]
                                                         
{'loss': 1.9971, 'grad_norm': 3.4675886631011963, 'learning_rate': 1.710222798718028e-06, 'epoch': 0.08}

 89%|████████▉ | 8875/10000 [22:28:36<2:50:45,  9.11s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6097804307937622, dino_loss: 0.494140625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8117841482162476, dino_loss: 0.6640625, depth_loss: 0.07661442458629608, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8876/10000 [22:28:44<2:44:35,  8.79s/it]
                                                         
{'loss': 2.4093, 'grad_norm': 3.2740769386291504, 'learning_rate': 1.7072188249512456e-06, 'epoch': 0.08}

 89%|████████▉ | 8876/10000 [22:28:44<2:44:35,  8.79s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7097774744033813, dino_loss: 0.62890625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8589014410972595, dino_loss: 0.6796875, depth_loss: 0.0686149150133133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8877/10000 [22:28:53<2:49:17,  9.04s/it]
                                                         
{'loss': 2.1702, 'grad_norm': 4.51453971862793, 'learning_rate': 1.7042173984479937e-06, 'epoch': 0.08}

 89%|████████▉ | 8877/10000 [22:28:53<2:49:17,  9.04s/it]the number of masks: 8
seg_loss: 0.46412622928619385, dino_loss: 0.609375, depth_loss: 0.0619766041636467, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.635560154914856, dino_loss: 0.6796875, depth_loss: 0.08014144748449326, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8878/10000 [22:29:00<2:37:38,  8.43s/it]
                                                         
{'loss': 2.3614, 'grad_norm': 3.886286973953247, 'learning_rate': 1.7012185195365016e-06, 'epoch': 0.08}

 89%|████████▉ | 8878/10000 [22:29:00<2:37:38,  8.43s/it]the number of masks: 8
seg_loss: 0.7795365452766418, dino_loss: 0.6953125, depth_loss: 0.06937050819396973, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8486987948417664, dino_loss: 0.65234375, depth_loss: 0.038358379155397415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8879/10000 [22:29:07<2:26:02,  7.82s/it]
                                                         
{'loss': 2.2431, 'grad_norm': 4.796403408050537, 'learning_rate': 1.6982221885447264e-06, 'epoch': 0.08}

 89%|████████▉ | 8879/10000 [22:29:07<2:26:02,  7.82s/it]the number of masks: 8
seg_loss: 0.84493488073349, dino_loss: 0.703125, depth_loss: 0.06046229600906372, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.65625, depth_loss: 0.04701210558414459, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8880/10000 [22:29:12<2:10:46,  7.01s/it]
                                                         
{'loss': 1.7737, 'grad_norm': 2.3024792671203613, 'learning_rate': 1.6952284058003366e-06, 'epoch': 0.08}

 89%|████████▉ | 8880/10000 [22:29:12<2:10:46,  7.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8598217964172363, dino_loss: 0.69921875, depth_loss: 0.0637800395488739, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.110361933708191, dino_loss: 0.65234375, depth_loss: 0.055393606424331665, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8881/10000 [22:29:21<2:20:23,  7.53s/it]
                                                         
{'loss': 2.4541, 'grad_norm': 6.358366966247559, 'learning_rate': 1.692237171630734e-06, 'epoch': 0.08}

 89%|████████▉ | 8881/10000 [22:29:21<2:20:23,  7.53s/it]the number of masks: 8
seg_loss: 1.1501638889312744, dino_loss: 0.66796875, depth_loss: 0.05777409300208092, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9418140649795532, dino_loss: 0.59765625, depth_loss: 0.04622510075569153, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8882/10000 [22:29:28<2:18:00,  7.41s/it]
                                                         
{'loss': 2.2256, 'grad_norm': 7.933590888977051, 'learning_rate': 1.6892484863630264e-06, 'epoch': 0.08}

 89%|████████▉ | 8882/10000 [22:29:28<2:18:00,  7.41s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9280587434768677, dino_loss: 0.58984375, depth_loss: 0.05664854496717453, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8016575574874878, dino_loss: 0.67578125, depth_loss: 0.0630694255232811, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8883/10000 [22:29:38<2:35:15,  8.34s/it]
                                                         
{'loss': 2.5725, 'grad_norm': 3.8364129066467285, 'learning_rate': 1.6862623503240581e-06, 'epoch': 0.08}

 89%|████████▉ | 8883/10000 [22:29:38<2:35:15,  8.34s/it]the number of masks: 8
seg_loss: 1.144759178161621, dino_loss: 0.671875, depth_loss: 0.05538935959339142, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0063235759735107, dino_loss: 0.703125, depth_loss: 0.05540941655635834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8884/10000 [22:29:45<2:28:26,  7.98s/it]
                                                         
{'loss': 2.157, 'grad_norm': 8.400230407714844, 'learning_rate': 1.6832787638403846e-06, 'epoch': 0.08}

 89%|████████▉ | 8884/10000 [22:29:45<2:28:26,  7.98s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6879665851593018, dino_loss: 0.69140625, depth_loss: 0.06388137489557266, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.939281165599823, dino_loss: 0.69140625, depth_loss: 0.05319875478744507, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8885/10000 [22:29:57<2:48:30,  9.07s/it]
                                                         
{'loss': 2.3974, 'grad_norm': 5.100541114807129, 'learning_rate': 1.6802977272382974e-06, 'epoch': 0.08}

 89%|████████▉ | 8885/10000 [22:29:57<2:48:30,  9.07s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0208078622817993, dino_loss: 0.73828125, depth_loss: 0.03959923982620239, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.925289511680603, dino_loss: 0.71875, depth_loss: 0.04667671024799347, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8886/10000 [22:30:09<3:03:00,  9.86s/it]
                                                         
{'loss': 1.968, 'grad_norm': 2.294670343399048, 'learning_rate': 1.6773192408437832e-06, 'epoch': 0.08}

 89%|████████▉ | 8886/10000 [22:30:09<3:03:00,  9.86s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8488465547561646, dino_loss: 0.65234375, depth_loss: 0.05258674919605255, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6810926795005798, dino_loss: 0.6796875, depth_loss: 0.06338179111480713, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8887/10000 [22:30:19<3:05:37, 10.01s/it]
                                                         
{'loss': 2.0723, 'grad_norm': 4.372682094573975, 'learning_rate': 1.6743433049825785e-06, 'epoch': 0.08}

 89%|████████▉ | 8887/10000 [22:30:19<3:05:37, 10.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7748222351074219, dino_loss: 0.71484375, depth_loss: 0.02763422019779682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8353427648544312, dino_loss: 0.7265625, depth_loss: 0.07250253856182098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8888/10000 [22:30:27<2:54:18,  9.40s/it]
                                                         
{'loss': 2.2234, 'grad_norm': 11.972929000854492, 'learning_rate': 1.6713699199801148e-06, 'epoch': 0.08}

 89%|████████▉ | 8888/10000 [22:30:27<2:54:18,  9.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8339959979057312, dino_loss: 0.71875, depth_loss: 0.045967213809490204, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8704882860183716, dino_loss: 0.70703125, depth_loss: 0.05500626564025879, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8889/10000 [22:30:38<3:03:52,  9.93s/it]
                                                         
{'loss': 2.0807, 'grad_norm': 2.8755593299865723, 'learning_rate': 1.6683990861615623e-06, 'epoch': 0.08}

 89%|████████▉ | 8889/10000 [22:30:38<3:03:52,  9.93s/it]the number of masks: 8
seg_loss: 0.9365759491920471, dino_loss: 0.65234375, depth_loss: 0.06437089294195175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8268385529518127, dino_loss: 0.6875, depth_loss: 0.07169634103775024, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8890/10000 [22:30:47<2:59:26,  9.70s/it]
                                                         
{'loss': 2.4105, 'grad_norm': 3.881662130355835, 'learning_rate': 1.6654308038518058e-06, 'epoch': 0.08}

 89%|████████▉ | 8890/10000 [22:30:47<2:59:26,  9.70s/it]the number of masks: 8
seg_loss: 1.204554557800293, dino_loss: 0.734375, depth_loss: 0.06968765705823898, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8422026634216309, dino_loss: 0.7734375, depth_loss: 0.053263526409864426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8891/10000 [22:30:56<2:53:43,  9.40s/it]
                                                         
{'loss': 3.0948, 'grad_norm': 2.8523287773132324, 'learning_rate': 1.6624650733754605e-06, 'epoch': 0.08}

 89%|████████▉ | 8891/10000 [22:30:56<2:53:43,  9.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8174680471420288, dino_loss: 0.71875, depth_loss: 0.06424912810325623, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.020714282989502, dino_loss: 0.71875, depth_loss: 0.047428376972675323, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8892/10000 [22:31:06<2:57:00,  9.58s/it]
                                                         
{'loss': 2.1914, 'grad_norm': 7.886989593505859, 'learning_rate': 1.659501895056842e-06, 'epoch': 0.08}

 89%|████████▉ | 8892/10000 [22:31:06<2:57:00,  9.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.768578052520752, dino_loss: 0.640625, depth_loss: 0.0499221608042717, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.025130033493042, dino_loss: 0.65234375, depth_loss: 0.0579640194773674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8893/10000 [22:31:15<2:53:59,  9.43s/it]
                                                         
{'loss': 1.9969, 'grad_norm': 2.753296136856079, 'learning_rate': 1.6565412692200077e-06, 'epoch': 0.08}

 89%|████████▉ | 8893/10000 [22:31:15<2:53:59,  9.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7126564979553223, dino_loss: 0.72265625, depth_loss: 0.0637030303478241, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6608749628067017, dino_loss: 0.6953125, depth_loss: 0.07432442903518677, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8894/10000 [22:31:23<2:45:46,  8.99s/it]
                                                         
{'loss': 2.1947, 'grad_norm': 6.682453155517578, 'learning_rate': 1.653583196188721e-06, 'epoch': 0.08}

 89%|████████▉ | 8894/10000 [22:31:23<2:45:46,  8.99s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7713779211044312, dino_loss: 0.62890625, depth_loss: 0.06469704210758209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6943072080612183, dino_loss: 0.0, depth_loss: 0.04823960363864899, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8895/10000 [22:31:34<2:53:38,  9.43s/it]
                                                         
{'loss': 1.3851, 'grad_norm': 3.0794155597686768, 'learning_rate': 1.650627676286473e-06, 'epoch': 0.08}

 89%|████████▉ | 8895/10000 [22:31:34<2:53:38,  9.43s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9444302916526794, dino_loss: 0.0, depth_loss: 0.05281791463494301, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6797460913658142, dino_loss: 0.6015625, depth_loss: 0.05866718292236328, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8896/10000 [22:31:42<2:47:55,  9.13s/it]
                                                         
{'loss': 1.8593, 'grad_norm': 4.094357490539551, 'learning_rate': 1.6476747098364804e-06, 'epoch': 0.08}

 89%|████████▉ | 8896/10000 [22:31:42<2:47:55,  9.13s/it]the number of masks: 8
seg_loss: 0.7403651475906372, dino_loss: 0.63671875, depth_loss: 0.05074065923690796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9201280474662781, dino_loss: 0.69921875, depth_loss: 0.06460627168416977, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8897/10000 [22:31:48<2:31:50,  8.26s/it]
                                                         
{'loss': 2.3728, 'grad_norm': 6.136029243469238, 'learning_rate': 1.6447242971616732e-06, 'epoch': 0.08}

 89%|████████▉ | 8897/10000 [22:31:48<2:31:50,  8.26s/it]the number of masks: 7
the number of masks: 8
seg_loss: 0.4617285132408142, dino_loss: 0.703125, depth_loss: 0.08392992615699768, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7743331789970398, dino_loss: 0.6953125, depth_loss: 0.07661788910627365, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8898/10000 [22:31:57<2:35:57,  8.49s/it]
                                                         
{'loss': 2.1587, 'grad_norm': 3.1440513134002686, 'learning_rate': 1.6417764385846996e-06, 'epoch': 0.08}

 89%|████████▉ | 8898/10000 [22:31:57<2:35:57,  8.49s/it]the number of masks: 8
seg_loss: 1.0070531368255615, dino_loss: 0.7109375, depth_loss: 0.10204865038394928, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8596998453140259, dino_loss: 0.77734375, depth_loss: 0.0876229926943779, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8899/10000 [22:32:07<2:42:09,  8.84s/it]
                                                         
{'loss': 2.5424, 'grad_norm': 6.957801818847656, 'learning_rate': 1.6388311344279373e-06, 'epoch': 0.08}

 89%|████████▉ | 8899/10000 [22:32:07<2:42:09,  8.84s/it]the number of masks: 8
seg_loss: 0.912772536277771, dino_loss: 0.66015625, depth_loss: 0.09753325581550598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9398584365844727, dino_loss: 0.65234375, depth_loss: 0.0786992758512497, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8900/10000 [22:32:16<2:43:18,  8.91s/it]
                                                         
{'loss': 2.3068, 'grad_norm': 7.146045207977295, 'learning_rate': 1.6358883850134816e-06, 'epoch': 0.08}

 89%|████████▉ | 8900/10000 [22:32:16<2:43:18,  8.91s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8353854417800903, dino_loss: 0.6640625, depth_loss: 0.08799842745065689, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6127937436103821, dino_loss: 0.69921875, depth_loss: 0.04962882399559021, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8901/10000 [22:32:25<2:42:10,  8.85s/it]
                                                         
{'loss': 2.4091, 'grad_norm': 5.694256782531738, 'learning_rate': 1.6329481906631416e-06, 'epoch': 0.08}

 89%|████████▉ | 8901/10000 [22:32:25<2:42:10,  8.85s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.854972243309021, dino_loss: 0.71875, depth_loss: 0.04827333614230156, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0088995695114136, dino_loss: 0.67578125, depth_loss: 0.05850249528884888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8902/10000 [22:32:35<2:51:40,  9.38s/it]
                                                         
{'loss': 2.1435, 'grad_norm': 5.493686676025391, 'learning_rate': 1.6300105516984548e-06, 'epoch': 0.08}

 89%|████████▉ | 8902/10000 [22:32:35<2:51:40,  9.38s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7786591053009033, dino_loss: 0.69921875, depth_loss: 0.056964486837387085, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5297537446022034, dino_loss: 0.578125, depth_loss: 0.0337078720331192, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8903/10000 [22:32:45<2:54:23,  9.54s/it]
                                                         
{'loss': 2.1958, 'grad_norm': 2.277585506439209, 'learning_rate': 1.627075468440678e-06, 'epoch': 0.08}

 89%|████████▉ | 8903/10000 [22:32:45<2:54:23,  9.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8836707472801208, dino_loss: 0.6953125, depth_loss: 0.06195908784866333, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 6
seg_loss: 0.7912184000015259, dino_loss: 0.66796875, depth_loss: 0.06000589579343796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8904/10000 [22:32:55<2:53:16,  9.49s/it]
                                                         
{'loss': 1.7737, 'grad_norm': 4.5894927978515625, 'learning_rate': 1.6241429412107906e-06, 'epoch': 0.08}

 89%|████████▉ | 8904/10000 [22:32:55<2:53:16,  9.49s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8415838479995728, dino_loss: 0.69140625, depth_loss: 0.058148644864559174, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8083460927009583, dino_loss: 0.765625, depth_loss: 0.06909087300300598, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8905/10000 [22:33:05<2:57:45,  9.74s/it]
                                                         
{'loss': 2.3854, 'grad_norm': 4.554409503936768, 'learning_rate': 1.6212129703294832e-06, 'epoch': 0.08}

 89%|████████▉ | 8905/10000 [22:33:05<2:57:45,  9.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8543574213981628, dino_loss: 0.57421875, depth_loss: 0.03548697009682655, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9353936910629272, dino_loss: 0.69140625, depth_loss: 0.044535014778375626, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8906/10000 [22:33:16<3:06:17, 10.22s/it]
                                                         
{'loss': 2.2789, 'grad_norm': 6.642999172210693, 'learning_rate': 1.61828555611718e-06, 'epoch': 0.08}

 89%|████████▉ | 8906/10000 [22:33:16<3:06:17, 10.22s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8822305798530579, dino_loss: 0.7109375, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6642715930938721, dino_loss: 0.72265625, depth_loss: 0.07092329859733582, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8907/10000 [22:33:24<2:50:05,  9.34s/it]
                                                         
{'loss': 2.4183, 'grad_norm': 4.376443386077881, 'learning_rate': 1.6153606988940085e-06, 'epoch': 0.08}

 89%|████████▉ | 8907/10000 [22:33:24<2:50:05,  9.34s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.706297755241394, dino_loss: 0.578125, depth_loss: 0.06964372843503952, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.68359375, depth_loss: 0.04144993796944618, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8908/10000 [22:33:31<2:40:03,  8.79s/it]
                                                         
{'loss': 1.3833, 'grad_norm': 1.8389121294021606, 'learning_rate': 1.6124383989798403e-06, 'epoch': 0.08}

 89%|████████▉ | 8908/10000 [22:33:31<2:40:03,  8.79s/it]the number of masks: 8
seg_loss: 0.9219515919685364, dino_loss: 0.66796875, depth_loss: 0.06207967549562454, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0738556385040283, dino_loss: 0.75390625, depth_loss: 0.06654767692089081, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8909/10000 [22:33:40<2:38:24,  8.71s/it]
                                                         
{'loss': 2.2749, 'grad_norm': 8.258499145507812, 'learning_rate': 1.6095186566942338e-06, 'epoch': 0.08}

 89%|████████▉ | 8909/10000 [22:33:40<2:38:24,  8.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0558230876922607, dino_loss: 0.6796875, depth_loss: 0.0574381947517395, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7987886667251587, dino_loss: 0.671875, depth_loss: 0.059397175908088684, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8910/10000 [22:33:49<2:41:07,  8.87s/it]
                                                         
{'loss': 1.9655, 'grad_norm': 4.626171112060547, 'learning_rate': 1.6066014723565116e-06, 'epoch': 0.08}

 89%|████████▉ | 8910/10000 [22:33:49<2:41:07,  8.87s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9480279088020325, dino_loss: 0.67578125, depth_loss: 0.07257922738790512, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9524533748626709, dino_loss: 0.68359375, depth_loss: 0.06764094531536102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8911/10000 [22:33:59<2:46:45,  9.19s/it]
                                                         
{'loss': 2.4167, 'grad_norm': 3.8586957454681396, 'learning_rate': 1.6036868462856764e-06, 'epoch': 0.08}

 89%|████████▉ | 8911/10000 [22:33:59<2:46:45,  9.19s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9217235445976257, dino_loss: 0.68359375, depth_loss: 0.05008643865585327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.9585161209106445, dino_loss: 0.64453125, depth_loss: 0.061053790152072906, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8912/10000 [22:34:07<2:41:01,  8.88s/it]
                                                         
{'loss': 2.2484, 'grad_norm': 2.7350804805755615, 'learning_rate': 1.6007747788004734e-06, 'epoch': 0.08}

 89%|████████▉ | 8912/10000 [22:34:07<2:41:01,  8.88s/it]seg_loss: 0.0, dino_loss: 0.65234375, depth_loss: 0.04535980522632599, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8419376015663147, dino_loss: 0.48828125, depth_loss: 0.038680508732795715, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8913/10000 [22:34:13<2:26:26,  8.08s/it]
                                                         
{'loss': 1.6386, 'grad_norm': 2.143441677093506, 'learning_rate': 1.597865270219359e-06, 'epoch': 0.08}

 89%|████████▉ | 8913/10000 [22:34:13<2:26:26,  8.08s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9582948684692383, dino_loss: 0.6328125, depth_loss: 0.04527353122830391, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.62109375, depth_loss: 0.051745641976594925, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8914/10000 [22:34:20<2:19:03,  7.68s/it]
                                                         
{'loss': 1.6789, 'grad_norm': 4.224836826324463, 'learning_rate': 1.5949583208605151e-06, 'epoch': 0.08}

 89%|████████▉ | 8914/10000 [22:34:20<2:19:03,  7.68s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7971206307411194, dino_loss: 0.70703125, depth_loss: 0.05209525674581528, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6313698291778564, dino_loss: 0.65625, depth_loss: 0.04113250598311424, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8915/10000 [22:34:31<2:35:45,  8.61s/it]
                                                         
{'loss': 2.1425, 'grad_norm': 2.894082546234131, 'learning_rate': 1.5920539310418341e-06, 'epoch': 0.08}

 89%|████████▉ | 8915/10000 [22:34:31<2:35:45,  8.61s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7931609153747559, dino_loss: 0.609375, depth_loss: 0.06049887090921402, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6003738045692444, dino_loss: 0.71875, depth_loss: 0.04626011848449707, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8916/10000 [22:34:39<2:35:40,  8.62s/it]
                                                         
{'loss': 2.3972, 'grad_norm': 4.316428184509277, 'learning_rate': 1.5891521010809513e-06, 'epoch': 0.08}

 89%|████████▉ | 8916/10000 [22:34:39<2:35:40,  8.62s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.775456428527832, dino_loss: 0.58984375, depth_loss: 0.06419109553098679, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6782053709030151, dino_loss: 0.5, depth_loss: 0.07395735383033752, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8917/10000 [22:34:49<2:38:48,  8.80s/it]
                                                         
{'loss': 2.1795, 'grad_norm': 3.978651285171509, 'learning_rate': 1.586252831295193e-06, 'epoch': 0.08}

 89%|████████▉ | 8917/10000 [22:34:49<2:38:48,  8.80s/it]seg_loss: 0.0, dino_loss: 0.625, depth_loss: 0.07022763788700104, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 7
the number of masks: 8
seg_loss: 0.9312388896942139, dino_loss: 0.6328125, depth_loss: 0.04734622687101364, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8918/10000 [22:34:55<2:26:57,  8.15s/it]
                                                         
{'loss': 2.1737, 'grad_norm': 3.042738914489746, 'learning_rate': 1.5833561220016253e-06, 'epoch': 0.08}

 89%|████████▉ | 8918/10000 [22:34:55<2:26:57,  8.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8686372637748718, dino_loss: 0.671875, depth_loss: 0.07022589445114136, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9082028865814209, dino_loss: 0.67578125, depth_loss: 0.089780792593956, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8919/10000 [22:35:07<2:44:56,  9.15s/it]
                                                         
{'loss': 2.5507, 'grad_norm': 2.53084135055542, 'learning_rate': 1.5804619735170223e-06, 'epoch': 0.08}

 89%|████████▉ | 8919/10000 [22:35:07<2:44:56,  9.15s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6304853558540344, dino_loss: 0.65625, depth_loss: 0.04499385878443718, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6051389575004578, dino_loss: 0.66796875, depth_loss: 0.05039014667272568, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8920/10000 [22:35:16<2:45:37,  9.20s/it]
                                                         
{'loss': 1.8237, 'grad_norm': 3.9630513191223145, 'learning_rate': 1.5775703861578866e-06, 'epoch': 0.08}

 89%|████████▉ | 8920/10000 [22:35:16<2:45:37,  9.20s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.5767576694488525, dino_loss: 0.6015625, depth_loss: 0.04146203771233559, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7026960849761963, dino_loss: 0.66015625, depth_loss: 0.0859585627913475, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8921/10000 [22:35:24<2:41:52,  9.00s/it]
                                                         
{'loss': 1.5867, 'grad_norm': 3.6991240978240967, 'learning_rate': 1.5746813602404376e-06, 'epoch': 0.08}

 89%|████████▉ | 8921/10000 [22:35:24<2:41:52,  9.00s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8576913475990295, dino_loss: 0.67578125, depth_loss: 0.07015004754066467, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.644860029220581, dino_loss: 0.67578125, depth_loss: 0.04100750386714935, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8922/10000 [22:35:35<2:47:32,  9.33s/it]
                                                         
{'loss': 2.2874, 'grad_norm': 6.597006797790527, 'learning_rate': 1.5717948960806223e-06, 'epoch': 0.08}

 89%|████████▉ | 8922/10000 [22:35:35<2:47:32,  9.33s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8264681100845337, dino_loss: 0.71875, depth_loss: 0.07275359332561493, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1163451671600342, dino_loss: 0.67578125, depth_loss: 0.06995931267738342, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8923/10000 [22:35:44<2:45:39,  9.23s/it]
                                                         
{'loss': 2.3569, 'grad_norm': 4.222532749176025, 'learning_rate': 1.5689109939940883e-06, 'epoch': 0.08}

 89%|████████▉ | 8923/10000 [22:35:44<2:45:39,  9.23s/it]the number of masks: 3
the number of masks: 8
seg_loss: 0.4529121518135071, dino_loss: 0.66796875, depth_loss: 0.08123806864023209, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6908320784568787, dino_loss: 0.71875, depth_loss: 0.055139899253845215, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8924/10000 [22:35:51<2:33:29,  8.56s/it]
                                                         
{'loss': 1.8614, 'grad_norm': 4.163048267364502, 'learning_rate': 1.5660296542962194e-06, 'epoch': 0.08}

 89%|████████▉ | 8924/10000 [22:35:51<2:33:29,  8.56s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9189779162406921, dino_loss: 0.6484375, depth_loss: 0.0691203847527504, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7697655558586121, dino_loss: 0.625, depth_loss: 0.0471990704536438, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8925/10000 [22:36:01<2:41:37,  9.02s/it]
                                                         
{'loss': 2.2852, 'grad_norm': 4.726263523101807, 'learning_rate': 1.5631508773021165e-06, 'epoch': 0.08}

 89%|████████▉ | 8925/10000 [22:36:01<2:41:37,  9.02s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9165909886360168, dino_loss: 0.68359375, depth_loss: 0.06493879854679108, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.503364086151123, dino_loss: 0.6484375, depth_loss: 0.06716948747634888, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8926/10000 [22:36:11<2:46:49,  9.32s/it]
                                                         
{'loss': 2.0715, 'grad_norm': 4.4481072425842285, 'learning_rate': 1.5602746633265969e-06, 'epoch': 0.08}

 89%|████████▉ | 8926/10000 [22:36:11<2:46:49,  9.32s/it]the number of masks: 3
seg_loss: 0.4204440414905548, dino_loss: 0.66796875, depth_loss: 0.06917107105255127, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0739102363586426, dino_loss: 0.62890625, depth_loss: 0.07877303659915924, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8927/10000 [22:36:18<2:37:25,  8.80s/it]
                                                         
{'loss': 2.1764, 'grad_norm': 3.5351688861846924, 'learning_rate': 1.557401012684201e-06, 'epoch': 0.08}

 89%|████████▉ | 8927/10000 [22:36:18<2:37:25,  8.80s/it]the number of masks: 8
seg_loss: 0.8520634174346924, dino_loss: 0.671875, depth_loss: 0.16670174896717072, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8056714534759521, dino_loss: 0.7109375, depth_loss: 0.05039116367697716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8928/10000 [22:36:27<2:34:47,  8.66s/it]
                                                         
{'loss': 2.6115, 'grad_norm': 6.411752700805664, 'learning_rate': 1.554529925689177e-06, 'epoch': 0.08}

 89%|████████▉ | 8928/10000 [22:36:27<2:34:47,  8.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7624882459640503, dino_loss: 0.7109375, depth_loss: 0.07006585597991943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9677163362503052, dino_loss: 0.71484375, depth_loss: 0.05815032124519348, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8929/10000 [22:36:38<2:49:45,  9.51s/it]
                                                         
{'loss': 2.4262, 'grad_norm': 3.2280235290527344, 'learning_rate': 1.5516614026555187e-06, 'epoch': 0.08}

 89%|████████▉ | 8929/10000 [22:36:38<2:49:45,  9.51s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.771435022354126, dino_loss: 0.67578125, depth_loss: 0.07525026798248291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.700127124786377, dino_loss: 0.7421875, depth_loss: 0.053020182996988297, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8930/10000 [22:36:48<2:51:02,  9.59s/it]
                                                         
{'loss': 1.9805, 'grad_norm': 4.691911697387695, 'learning_rate': 1.5487954438969139e-06, 'epoch': 0.08}

 89%|████████▉ | 8930/10000 [22:36:48<2:51:02,  9.59s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7948525547981262, dino_loss: 0.6953125, depth_loss: 0.07004794478416443, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8458996415138245, dino_loss: 0.60546875, depth_loss: 0.05694476515054703, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8931/10000 [22:36:59<2:59:53, 10.10s/it]
                                                         
{'loss': 2.1573, 'grad_norm': 2.9856081008911133, 'learning_rate': 1.545932049726781e-06, 'epoch': 0.08}

 89%|████████▉ | 8931/10000 [22:36:59<2:59:53, 10.10s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8781771659851074, dino_loss: 0.7421875, depth_loss: 0.05128045752644539, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5907721519470215, dino_loss: 0.6953125, depth_loss: 0.05842481553554535, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8932/10000 [22:37:09<2:56:57,  9.94s/it]
                                                         
{'loss': 2.0981, 'grad_norm': 7.294247627258301, 'learning_rate': 1.543071220458256e-06, 'epoch': 0.08}

 89%|████████▉ | 8932/10000 [22:37:09<2:56:57,  9.94s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7872269153594971, dino_loss: 0.61328125, depth_loss: 0.05556689202785492, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6618267297744751, dino_loss: 0.6640625, depth_loss: 0.046660393476486206, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8933/10000 [22:37:18<2:52:35,  9.71s/it]
                                                         
{'loss': 2.0674, 'grad_norm': 2.5887346267700195, 'learning_rate': 1.5402129564041968e-06, 'epoch': 0.08}

 89%|████████▉ | 8933/10000 [22:37:18<2:52:35,  9.71s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6740209460258484, dino_loss: 0.8359375, depth_loss: 0.039068713784217834, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6852903366088867, dino_loss: 0.6640625, depth_loss: 0.06757954508066177, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8934/10000 [22:37:27<2:49:50,  9.56s/it]
                                                         
{'loss': 2.3007, 'grad_norm': 5.238847255706787, 'learning_rate': 1.53735725787717e-06, 'epoch': 0.08}

 89%|████████▉ | 8934/10000 [22:37:27<2:49:50,  9.56s/it]the number of masks: 8
seg_loss: 1.00417160987854, dino_loss: 0.734375, depth_loss: 0.057831428945064545, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7325357794761658, dino_loss: 0.69140625, depth_loss: 0.05612863600254059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8935/10000 [22:37:34<2:37:16,  8.86s/it]
                                                         
{'loss': 2.7904, 'grad_norm': 5.75831413269043, 'learning_rate': 1.5345041251894871e-06, 'epoch': 0.08}

 89%|████████▉ | 8935/10000 [22:37:34<2:37:16,  8.86s/it]the number of masks: 8
seg_loss: 0.809407651424408, dino_loss: 0.7421875, depth_loss: 0.07432930171489716, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5841584205627441, dino_loss: 0.6796875, depth_loss: 0.057440683245658875, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8936/10000 [22:37:42<2:33:15,  8.64s/it]
                                                         
{'loss': 2.2607, 'grad_norm': 5.214929580688477, 'learning_rate': 1.5316535586531483e-06, 'epoch': 0.08}

 89%|████████▉ | 8936/10000 [22:37:42<2:33:15,  8.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8015954494476318, dino_loss: 0.640625, depth_loss: 0.055417321622371674, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7531197667121887, dino_loss: 0.70703125, depth_loss: 0.09929598867893219, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8937/10000 [22:37:49<2:24:22,  8.15s/it]
                                                         
{'loss': 2.1834, 'grad_norm': 6.2202887535095215, 'learning_rate': 1.528805558579896e-06, 'epoch': 0.08}

 89%|████████▉ | 8937/10000 [22:37:49<2:24:22,  8.15s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9914380311965942, dino_loss: 0.0, depth_loss: 0.07104714959859848, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9056849479675293, dino_loss: 0.65234375, depth_loss: 0.08141820877790451, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8938/10000 [22:37:58<2:28:36,  8.40s/it]
                                                         
{'loss': 2.2817, 'grad_norm': 5.346207618713379, 'learning_rate': 1.5259601252811755e-06, 'epoch': 0.08}

 89%|████████▉ | 8938/10000 [22:37:58<2:28:36,  8.40s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8608585596084595, dino_loss: 0.796875, depth_loss: 0.07996414601802826, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8420812487602234, dino_loss: 0.65625, depth_loss: 0.033918850123882294, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8939/10000 [22:38:07<2:30:58,  8.54s/it]
                                                         
{'loss': 2.0788, 'grad_norm': 3.7440125942230225, 'learning_rate': 1.5231172590681657e-06, 'epoch': 0.08}

 89%|████████▉ | 8939/10000 [22:38:07<2:30:58,  8.54s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9350327849388123, dino_loss: 0.65625, depth_loss: 0.06081383675336838, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8233911991119385, dino_loss: 0.71484375, depth_loss: 0.08804714679718018, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8940/10000 [22:38:17<2:36:11,  8.84s/it]
                                                         
{'loss': 2.6083, 'grad_norm': 2.3641481399536133, 'learning_rate': 1.5202769602517515e-06, 'epoch': 0.08}

 89%|████████▉ | 8940/10000 [22:38:17<2:36:11,  8.84s/it]the number of masks: 8
seg_loss: 0.6545110940933228, dino_loss: 0.6328125, depth_loss: 0.062073707580566406, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9804490804672241, dino_loss: 0.6484375, depth_loss: 0.057759419083595276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8941/10000 [22:38:25<2:33:57,  8.72s/it]
                                                         
{'loss': 2.2924, 'grad_norm': 4.502658843994141, 'learning_rate': 1.5174392291425505e-06, 'epoch': 0.08}

 89%|████████▉ | 8941/10000 [22:38:25<2:33:57,  8.72s/it]the number of masks: 8
seg_loss: 0.7849938869476318, dino_loss: 0.72265625, depth_loss: 0.04511269927024841, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.3233962059020996, dino_loss: 0.625, depth_loss: 0.05673999711871147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8942/10000 [22:38:32<2:25:19,  8.24s/it]
                                                         
{'loss': 2.2394, 'grad_norm': 9.564040184020996, 'learning_rate': 1.5146040660508897e-06, 'epoch': 0.08}

 89%|████████▉ | 8942/10000 [22:38:32<2:25:19,  8.24s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8401111364364624, dino_loss: 0.6484375, depth_loss: 0.05959073454141617, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9163752794265747, dino_loss: 0.69140625, depth_loss: 0.05394965410232544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8943/10000 [22:38:42<2:32:51,  8.68s/it]
                                                         
{'loss': 2.2651, 'grad_norm': 5.23794412612915, 'learning_rate': 1.5117714712868215e-06, 'epoch': 0.08}

 89%|████████▉ | 8943/10000 [22:38:42<2:32:51,  8.68s/it]the number of masks: 8
seg_loss: 0.9593682289123535, dino_loss: 0.6171875, depth_loss: 0.04456038773059845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8918426036834717, dino_loss: 0.0, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8944/10000 [22:38:49<2:22:21,  8.09s/it]
                                                         
{'loss': 1.6188, 'grad_norm': 3.898874521255493, 'learning_rate': 1.508941445160106e-06, 'epoch': 0.08}

 89%|████████▉ | 8944/10000 [22:38:49<2:22:21,  8.09s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9099357724189758, dino_loss: 0.66796875, depth_loss: 0.05421845614910126, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.260272741317749, dino_loss: 0.51171875, depth_loss: 0.08277691900730133, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8945/10000 [22:38:57<2:24:08,  8.20s/it]
                                                         
{'loss': 2.3763, 'grad_norm': 8.08486270904541, 'learning_rate': 1.5061139879802372e-06, 'epoch': 0.08}

 89%|████████▉ | 8945/10000 [22:38:57<2:24:08,  8.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8350462913513184, dino_loss: 0.6171875, depth_loss: 0.0662047266960144, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0532915592193604, dino_loss: 0.71484375, depth_loss: 0.05413542687892914, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8946/10000 [22:39:10<2:45:26,  9.42s/it]
                                                         
{'loss': 2.7501, 'grad_norm': 4.135634899139404, 'learning_rate': 1.5032891000564238e-06, 'epoch': 0.08}

 89%|████████▉ | 8946/10000 [22:39:10<2:45:26,  9.42s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8640952110290527, dino_loss: 0.625, depth_loss: 0.059284307062625885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6809329986572266, dino_loss: 0.6640625, depth_loss: 0.0624084398150444, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8947/10000 [22:39:17<2:35:31,  8.86s/it]
                                                         
{'loss': 2.1083, 'grad_norm': 6.7422943115234375, 'learning_rate': 1.5004667816975847e-06, 'epoch': 0.08}

 89%|████████▉ | 8947/10000 [22:39:17<2:35:31,  8.86s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0058470964431763, dino_loss: 0.71484375, depth_loss: 0.07818986475467682, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9368923306465149, dino_loss: 0.69921875, depth_loss: 0.07435302436351776, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8948/10000 [22:39:25<2:27:41,  8.42s/it]
                                                         
{'loss': 2.2432, 'grad_norm': 4.223495960235596, 'learning_rate': 1.4976470332123655e-06, 'epoch': 0.08}

 89%|████████▉ | 8948/10000 [22:39:25<2:27:41,  8.42s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9819351434707642, dino_loss: 0.73828125, depth_loss: 0.06953882426023483, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9229000806808472, dino_loss: 0.671875, depth_loss: 0.06675684452056885, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 89%|████████▉ | 8949/10000 [22:39:36<2:43:46,  9.35s/it]
                                                         
{'loss': 2.5662, 'grad_norm': 3.275662422180176, 'learning_rate': 1.4948298549091327e-06, 'epoch': 0.08}

 89%|████████▉ | 8949/10000 [22:39:36<2:43:46,  9.35s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7341849207878113, dino_loss: 0.6796875, depth_loss: 0.07061751931905746, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.1894909143447876, dino_loss: 0.7578125, depth_loss: 0.05330319702625275, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8950/10000 [22:39:46<2:47:48,  9.59s/it]
                                                         
{'loss': 2.6503, 'grad_norm': 3.571495771408081, 'learning_rate': 1.4920152470959707e-06, 'epoch': 0.08}

 90%|████████▉ | 8950/10000 [22:39:46<2:47:48,  9.59s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8519876003265381, dino_loss: 0.7265625, depth_loss: 0.06812934577465057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.024160623550415, dino_loss: 0.67578125, depth_loss: 0.06456607580184937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8951/10000 [22:39:56<2:47:31,  9.58s/it]
                                                         
{'loss': 2.6355, 'grad_norm': 5.024203300476074, 'learning_rate': 1.4892032100806723e-06, 'epoch': 0.08}

 90%|████████▉ | 8951/10000 [22:39:56<2:47:31,  9.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7481257319450378, dino_loss: 0.62890625, depth_loss: 0.051756732165813446, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0357186794281006, dino_loss: 0.6875, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8952/10000 [22:40:06<2:49:40,  9.71s/it]
                                                         
{'loss': 2.3928, 'grad_norm': 3.4954137802124023, 'learning_rate': 1.4863937441707693e-06, 'epoch': 0.08}

 90%|████████▉ | 8952/10000 [22:40:06<2:49:40,  9.71s/it]the number of masks: 8
seg_loss: 0.9645553231239319, dino_loss: 0.6875, depth_loss: 0.04380401596426964, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7533947229385376, dino_loss: 0.72265625, depth_loss: 0.0593644417822361, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8953/10000 [22:40:15<2:47:43,  9.61s/it]
                                                         
{'loss': 2.4692, 'grad_norm': 5.329797744750977, 'learning_rate': 1.4835868496734851e-06, 'epoch': 0.08}

 90%|████████▉ | 8953/10000 [22:40:15<2:47:43,  9.61s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7528119683265686, dino_loss: 0.64453125, depth_loss: 0.036770112812519073, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8931742906570435, dino_loss: 0.6953125, depth_loss: 0.0643930584192276, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8954/10000 [22:40:26<2:52:41,  9.91s/it]
                                                         
{'loss': 2.6612, 'grad_norm': 3.220304250717163, 'learning_rate': 1.4807825268957937e-06, 'epoch': 0.08}

 90%|████████▉ | 8954/10000 [22:40:26<2:52:41,  9.91s/it]seg_loss: 0.0, dino_loss: 0.0, depth_loss: 0.03179774060845375, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.71559739112854, dino_loss: 0.69921875, depth_loss: 0.04312843829393387, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8955/10000 [22:40:33<2:39:29,  9.16s/it]
                                                         
{'loss': 0.9144, 'grad_norm': 5.234455108642578, 'learning_rate': 1.4779807761443636e-06, 'epoch': 0.08}

 90%|████████▉ | 8955/10000 [22:40:33<2:39:29,  9.16s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8767275810241699, dino_loss: 0.61328125, depth_loss: 0.040903910994529724, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8400359153747559, dino_loss: 0.66015625, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8956/10000 [22:40:43<2:42:24,  9.33s/it]
                                                         
{'loss': 2.2014, 'grad_norm': 4.57575798034668, 'learning_rate': 1.4751815977255916e-06, 'epoch': 0.08}

 90%|████████▉ | 8956/10000 [22:40:43<2:42:24,  9.33s/it]the number of masks: 8
seg_loss: 0.8945555090904236, dino_loss: 0.625, depth_loss: 0.06672173738479614, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.6138148307800293, dino_loss: 0.65234375, depth_loss: 0.06138560175895691, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8957/10000 [22:40:50<2:30:46,  8.67s/it]
                                                         
{'loss': 2.2421, 'grad_norm': 3.887576103210449, 'learning_rate': 1.4723849919455884e-06, 'epoch': 0.08}

 90%|████████▉ | 8957/10000 [22:40:50<2:30:46,  8.67s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9117389917373657, dino_loss: 0.68359375, depth_loss: 0.06626340746879578, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 1.0075726509094238, dino_loss: 0.625, depth_loss: 0.08286357671022415, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8958/10000 [22:41:00<2:36:07,  8.99s/it]
                                                         
{'loss': 2.1121, 'grad_norm': 3.8995485305786133, 'learning_rate': 1.4695909591101924e-06, 'epoch': 0.08}

 90%|████████▉ | 8958/10000 [22:41:00<2:36:07,  8.99s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9159142374992371, dino_loss: 0.67578125, depth_loss: 0.04851631075143814, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9494960308074951, dino_loss: 0.0, depth_loss: 0.07947777956724167, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8959/10000 [22:41:08<2:31:55,  8.76s/it]
                                                         
{'loss': 1.9231, 'grad_norm': 7.953824520111084, 'learning_rate': 1.4667994995249456e-06, 'epoch': 0.08}

 90%|████████▉ | 8959/10000 [22:41:08<2:31:55,  8.76s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.304405927658081, dino_loss: 0.6875, depth_loss: 0.09013980627059937, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.0179657936096191, dino_loss: 0.6953125, depth_loss: 0.0687844455242157, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8960/10000 [22:41:16<2:29:44,  8.64s/it]
                                                         
{'loss': 2.724, 'grad_norm': 10.019432067871094, 'learning_rate': 1.4640106134951316e-06, 'epoch': 0.08}

 90%|████████▉ | 8960/10000 [22:41:16<2:29:44,  8.64s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8641305565834045, dino_loss: 0.63671875, depth_loss: 0.07624233514070511, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7917608618736267, dino_loss: 0.6796875, depth_loss: 0.040711984038352966, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8961/10000 [22:41:23<2:21:51,  8.19s/it]
                                                         
{'loss': 2.1128, 'grad_norm': 5.625820159912109, 'learning_rate': 1.4612243013257255e-06, 'epoch': 0.08}

 90%|████████▉ | 8961/10000 [22:41:23<2:21:51,  8.19s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6140243411064148, dino_loss: 0.65234375, depth_loss: 0.07811477780342102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9687107801437378, dino_loss: 0.734375, depth_loss: 0.04150994122028351, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8962/10000 [22:41:32<2:24:29,  8.35s/it]
                                                         
{'loss': 2.1633, 'grad_norm': 2.6705408096313477, 'learning_rate': 1.458440563321445e-06, 'epoch': 0.08}

 90%|████████▉ | 8962/10000 [22:41:32<2:24:29,  8.35s/it]the number of masks: 8
the number of masks: 8
seg_loss: 1.0205825567245483, dino_loss: 0.66015625, depth_loss: 0.06295511871576309, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9434599876403809, dino_loss: 0.67578125, depth_loss: 0.04872918128967285, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8963/10000 [22:41:40<2:22:35,  8.25s/it]
                                                         
{'loss': 2.4787, 'grad_norm': 4.748520374298096, 'learning_rate': 1.4556593997867074e-06, 'epoch': 0.08}

 90%|████████▉ | 8963/10000 [22:41:40<2:22:35,  8.25s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9714318513870239, dino_loss: 0.73046875, depth_loss: 0.06925533711910248, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8755513429641724, dino_loss: 0.6875, depth_loss: 0.056006841361522675, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8964/10000 [22:41:49<2:27:09,  8.52s/it]
                                                         
{'loss': 2.2751, 'grad_norm': 2.123103141784668, 'learning_rate': 1.4528808110256613e-06, 'epoch': 0.08}

 90%|████████▉ | 8964/10000 [22:41:49<2:27:09,  8.52s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.859012246131897, dino_loss: 0.69140625, depth_loss: 0.04223673790693283, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7505708932876587, dino_loss: 0.490234375, depth_loss: 0.04288959503173828, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8965/10000 [22:41:58<2:28:05,  8.58s/it]
                                                         
{'loss': 2.3038, 'grad_norm': 5.126531600952148, 'learning_rate': 1.4501047973421639e-06, 'epoch': 0.08}

 90%|████████▉ | 8965/10000 [22:41:58<2:28:05,  8.58s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.892180323600769, dino_loss: 0.7265625, depth_loss: 0.05385960638523102, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8206455111503601, dino_loss: 0.0, depth_loss: 0.03324448689818382, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8966/10000 [22:42:10<2:46:11,  9.64s/it]
                                                         
{'loss': 2.3519, 'grad_norm': 4.183635711669922, 'learning_rate': 1.4473313590397968e-06, 'epoch': 0.08}

 90%|████████▉ | 8966/10000 [22:42:10<2:46:11,  9.64s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.829158365726471, dino_loss: 0.56640625, depth_loss: 0.09992246329784393, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8897063136100769, dino_loss: 0.703125, depth_loss: 0.08528584986925125, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8967/10000 [22:42:21<2:52:26, 10.02s/it]
                                                         
{'loss': 1.6501, 'grad_norm': 3.7827341556549072, 'learning_rate': 1.4445604964218651e-06, 'epoch': 0.08}

 90%|████████▉ | 8967/10000 [22:42:21<2:52:26, 10.02s/it]the number of masks: 8
seg_loss: 1.1544368267059326, dino_loss: 0.69921875, depth_loss: 0.04270577430725098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.809412956237793, dino_loss: 0.71484375, depth_loss: 0.049156855791807175, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8968/10000 [22:42:28<2:35:31,  9.04s/it]
                                                         
{'loss': 2.194, 'grad_norm': 10.017197608947754, 'learning_rate': 1.4417922097913845e-06, 'epoch': 0.08}

 90%|████████▉ | 8968/10000 [22:42:28<2:35:31,  9.04s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7678364515304565, dino_loss: 0.6640625, depth_loss: 0.05383816361427307, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8243386149406433, dino_loss: 0.6171875, depth_loss: 0.05189810320734978, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8969/10000 [22:42:39<2:44:16,  9.56s/it]
                                                         
{'loss': 2.501, 'grad_norm': 3.0906600952148438, 'learning_rate': 1.4390264994510848e-06, 'epoch': 0.08}

 90%|████████▉ | 8969/10000 [22:42:39<2:44:16,  9.56s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9216337203979492, dino_loss: 0.68359375, depth_loss: 0.06698238849639893, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.872548520565033, dino_loss: 0.65234375, depth_loss: 0.05042537674307823, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8970/10000 [22:42:48<2:45:10,  9.62s/it]
                                                         
{'loss': 2.1108, 'grad_norm': 5.7410383224487305, 'learning_rate': 1.4362633657034248e-06, 'epoch': 0.08}

 90%|████████▉ | 8970/10000 [22:42:48<2:45:10,  9.62s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7804476618766785, dino_loss: 0.63671875, depth_loss: 0.051819950342178345, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8824819922447205, dino_loss: 0.69921875, depth_loss: 0.08870065212249756, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8971/10000 [22:42:59<2:49:49,  9.90s/it]
                                                         
{'loss': 2.3294, 'grad_norm': 11.638632774353027, 'learning_rate': 1.4335028088505786e-06, 'epoch': 0.08}

 90%|████████▉ | 8971/10000 [22:42:59<2:49:49,  9.90s/it]the number of masks: 8
seg_loss: 1.1347365379333496, dino_loss: 0.69921875, depth_loss: 0.06238158792257309, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8496320247650146, dino_loss: 0.7421875, depth_loss: 0.053703345358371735, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8972/10000 [22:43:05<2:31:19,  8.83s/it]
                                                         
{'loss': 2.7308, 'grad_norm': 3.8266639709472656, 'learning_rate': 1.4307448291944303e-06, 'epoch': 0.08}

 90%|████████▉ | 8972/10000 [22:43:05<2:31:19,  8.83s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8003422021865845, dino_loss: 0.70703125, depth_loss: 0.05210181325674057, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8447252511978149, dino_loss: 0.67578125, depth_loss: 0.0740741416811943, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8973/10000 [22:43:15<2:35:07,  9.06s/it]
                                                         
{'loss': 1.9399, 'grad_norm': 5.396571636199951, 'learning_rate': 1.4279894270365912e-06, 'epoch': 0.08}

 90%|████████▉ | 8973/10000 [22:43:15<2:35:07,  9.06s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6961327791213989, dino_loss: 0.6640625, depth_loss: 0.044835276901721954, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6426267027854919, dino_loss: 0.63671875, depth_loss: 0.0632941946387291, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8974/10000 [22:43:25<2:38:32,  9.27s/it]
                                                         
{'loss': 1.8775, 'grad_norm': 3.5249698162078857, 'learning_rate': 1.425236602678387e-06, 'epoch': 0.08}

 90%|████████▉ | 8974/10000 [22:43:25<2:38:32,  9.27s/it]the number of masks: 8
seg_loss: 1.0019688606262207, dino_loss: 0.64453125, depth_loss: 0.042434390634298325, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8174124956130981, dino_loss: 0.6875, depth_loss: 0.04410958290100098, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8975/10000 [22:43:32<2:29:34,  8.76s/it]
                                                         
{'loss': 2.319, 'grad_norm': 4.7744951248168945, 'learning_rate': 1.4224863564208684e-06, 'epoch': 0.08}

 90%|████████▉ | 8975/10000 [22:43:32<2:29:34,  8.76s/it]the number of masks: 8
seg_loss: 1.0952298641204834, dino_loss: 0.66796875, depth_loss: 0.08801805973052979, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.7623618245124817, dino_loss: 0.7265625, depth_loss: 0.07417405396699905, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8976/10000 [22:43:38<2:16:42,  8.01s/it]
                                                         
{'loss': 2.4099, 'grad_norm': 6.653997898101807, 'learning_rate': 1.4197386885647923e-06, 'epoch': 0.08}

 90%|████████▉ | 8976/10000 [22:43:38<2:16:42,  8.01s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.6788039207458496, dino_loss: 0.6953125, depth_loss: 0.05557403713464737, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7390652894973755, dino_loss: 0.66796875, depth_loss: 0.07733568549156189, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8977/10000 [22:43:47<2:19:44,  8.20s/it]
                                                         
{'loss': 2.2249, 'grad_norm': 10.339380264282227, 'learning_rate': 1.4169935994106404e-06, 'epoch': 0.08}

 90%|████████▉ | 8977/10000 [22:43:47<2:19:44,  8.20s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8200680613517761, dino_loss: 0.67578125, depth_loss: 0.05956647917628288, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.5976224541664124, dino_loss: 0.70703125, depth_loss: 0.06034816801548004, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8978/10000 [22:43:58<2:32:33,  8.96s/it]
                                                         
{'loss': 2.2166, 'grad_norm': 4.254958152770996, 'learning_rate': 1.4142510892586113e-06, 'epoch': 0.08}

 90%|████████▉ | 8978/10000 [22:43:58<2:32:33,  8.96s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9637948274612427, dino_loss: 0.671875, depth_loss: 0.08322035521268845, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.946661114692688, dino_loss: 0.609375, depth_loss: 0.02908201329410076, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8979/10000 [22:44:06<2:28:53,  8.75s/it]
                                                         
{'loss': 2.5676, 'grad_norm': 4.683697700500488, 'learning_rate': 1.411511158408621e-06, 'epoch': 0.08}

 90%|████████▉ | 8979/10000 [22:44:06<2:28:53,  8.75s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8965222239494324, dino_loss: 0.8125, depth_loss: 0.06081121042370796, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6664642095565796, dino_loss: 0.58984375, depth_loss: 0.04158850014209747, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8980/10000 [22:44:15<2:28:05,  8.71s/it]
                                                         
{'loss': 2.179, 'grad_norm': 4.019041538238525, 'learning_rate': 1.4087738071603075e-06, 'epoch': 0.08}

 90%|████████▉ | 8980/10000 [22:44:15<2:28:05,  8.71s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9859292507171631, dino_loss: 0.7890625, depth_loss: 0.06630098819732666, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8276697993278503, dino_loss: 0.6953125, depth_loss: 0.04616754129528999, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8981/10000 [22:44:24<2:29:36,  8.81s/it]
                                                         
{'loss': 2.6663, 'grad_norm': 2.167027711868286, 'learning_rate': 1.4060390358130227e-06, 'epoch': 0.08}

 90%|████████▉ | 8981/10000 [22:44:24<2:29:36,  8.81s/it]the number of masks: 8
seg_loss: 0.8776107430458069, dino_loss: 0.73828125, depth_loss: 0.05392487347126007, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9232122898101807, dino_loss: 0.66796875, depth_loss: 0.08426710218191147, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8982/10000 [22:44:33<2:33:09,  9.03s/it]
                                                         
{'loss': 2.0747, 'grad_norm': 6.201310157775879, 'learning_rate': 1.4033068446658331e-06, 'epoch': 0.08}

 90%|████████▉ | 8982/10000 [22:44:33<2:33:09,  9.03s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8509497046470642, dino_loss: 0.70703125, depth_loss: 0.0530242882668972, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.6269558668136597, dino_loss: 0.6328125, depth_loss: 0.041436150670051575, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8983/10000 [22:44:40<2:21:16,  8.33s/it]
                                                         
{'loss': 1.8738, 'grad_norm': 5.897112846374512, 'learning_rate': 1.4005772340175334e-06, 'epoch': 0.08}

 90%|████████▉ | 8983/10000 [22:44:40<2:21:16,  8.33s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.820472002029419, dino_loss: 0.640625, depth_loss: 0.0697082132101059, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.867100715637207, dino_loss: 0.69140625, depth_loss: 0.04540691897273064, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8984/10000 [22:44:48<2:19:31,  8.24s/it]
                                                         
{'loss': 2.0847, 'grad_norm': 7.892176151275635, 'learning_rate': 1.397850204166623e-06, 'epoch': 0.08}

 90%|████████▉ | 8984/10000 [22:44:48<2:19:31,  8.24s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8707436919212341, dino_loss: 0.62890625, depth_loss: 0.06053580716252327, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8047270774841309, dino_loss: 0.66015625, depth_loss: 0.05632806196808815, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8985/10000 [22:44:56<2:16:29,  8.07s/it]
                                                         
{'loss': 1.8647, 'grad_norm': 3.0890541076660156, 'learning_rate': 1.3951257554113306e-06, 'epoch': 0.08}

 90%|████████▉ | 8985/10000 [22:44:56<2:16:29,  8.07s/it]the number of masks: 8
seg_loss: 0.8520457148551941, dino_loss: 0.87109375, depth_loss: 0.07751148194074631, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8297321796417236, dino_loss: 0.625, depth_loss: 0.03514937683939934, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8986/10000 [22:45:03<2:10:44,  7.74s/it]
                                                         
{'loss': 2.0364, 'grad_norm': 6.032471656799316, 'learning_rate': 1.3924038880495926e-06, 'epoch': 0.08}

 90%|████████▉ | 8986/10000 [22:45:03<2:10:44,  7.74s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8149453997612, dino_loss: 0.7109375, depth_loss: 0.067087821662426, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5009375810623169, dino_loss: 0.57421875, depth_loss: 0.06301978975534439, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8987/10000 [22:45:12<2:19:39,  8.27s/it]
                                                         
{'loss': 1.9283, 'grad_norm': 3.632899045944214, 'learning_rate': 1.3896846023790793e-06, 'epoch': 0.08}

 90%|████████▉ | 8987/10000 [22:45:12<2:19:39,  8.27s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7204848527908325, dino_loss: 0.73046875, depth_loss: 0.0667797103524208, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.8221169710159302, dino_loss: 0.66796875, depth_loss: 0.052333276718854904, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8988/10000 [22:45:20<2:18:07,  8.19s/it]
                                                         
{'loss': 2.1058, 'grad_norm': 3.7943036556243896, 'learning_rate': 1.3869678986971528e-06, 'epoch': 0.08}

 90%|████████▉ | 8988/10000 [22:45:20<2:18:07,  8.19s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7321752309799194, dino_loss: 0.82421875, depth_loss: 0.05477842688560486, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8552277088165283, dino_loss: 0.6796875, depth_loss: 0.06607143580913544, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8989/10000 [22:45:31<2:28:56,  8.84s/it]
                                                         
{'loss': 1.9961, 'grad_norm': 5.406071662902832, 'learning_rate': 1.3842537773009228e-06, 'epoch': 0.08}

 90%|████████▉ | 8989/10000 [22:45:31<2:28:56,  8.84s/it]the number of masks: 8
seg_loss: 0.5844100117683411, dino_loss: 0.58984375, depth_loss: 0.03610129654407501, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7894716262817383, dino_loss: 0.68359375, depth_loss: 0.05833248049020767, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8990/10000 [22:45:40<2:31:49,  9.02s/it]
                                                         
{'loss': 2.1726, 'grad_norm': 1.4772120714187622, 'learning_rate': 1.3815422384871879e-06, 'epoch': 0.08}

 90%|████████▉ | 8990/10000 [22:45:40<2:31:49,  9.02s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8144313097000122, dino_loss: 0.68359375, depth_loss: 0.06659534573554993, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
seg_loss: 0.0, dino_loss: 0.78515625, depth_loss: 0.06529712677001953, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8991/10000 [22:45:47<2:22:43,  8.49s/it]
                                                         
{'loss': 1.8936, 'grad_norm': 2.9308509826660156, 'learning_rate': 1.3788332825524858e-06, 'epoch': 0.08}

 90%|████████▉ | 8991/10000 [22:45:47<2:22:43,  8.49s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.7324973940849304, dino_loss: 0.73046875, depth_loss: 0.06811685860157013, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.728078305721283, dino_loss: 0.73828125, depth_loss: 0.08844266086816788, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8992/10000 [22:45:57<2:28:49,  8.86s/it]
                                                         
{'loss': 2.2768, 'grad_norm': 3.0422163009643555, 'learning_rate': 1.3761269097930602e-06, 'epoch': 0.08}

 90%|████████▉ | 8992/10000 [22:45:57<2:28:49,  8.86s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.9479972124099731, dino_loss: 0.6484375, depth_loss: 0.04743242263793945, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 1.00834321975708, dino_loss: 0.70703125, depth_loss: 0.0, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8993/10000 [22:46:06<2:28:12,  8.83s/it]
                                                         
{'loss': 2.7204, 'grad_norm': 2.861337423324585, 'learning_rate': 1.3734231205048825e-06, 'epoch': 0.08}

 90%|████████▉ | 8993/10000 [22:46:06<2:28:12,  8.83s/it]the number of masks: 8
seg_loss: 1.1163533926010132, dino_loss: 0.72265625, depth_loss: 0.07191808521747589, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 5
the number of masks: 8
seg_loss: 0.6362985372543335, dino_loss: 0.625, depth_loss: 0.030141249299049377, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8994/10000 [22:46:14<2:25:12,  8.66s/it]
                                                         
{'loss': 2.6892, 'grad_norm': 4.136765003204346, 'learning_rate': 1.3707219149836248e-06, 'epoch': 0.08}

 90%|████████▉ | 8994/10000 [22:46:14<2:25:12,  8.66s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.9110121726989746, dino_loss: 0.73046875, depth_loss: 0.05060603469610214, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.5165897607803345, dino_loss: 0.5859375, depth_loss: 0.05731477588415146, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8995/10000 [22:46:25<2:35:00,  9.25s/it]
                                                         
{'loss': 1.7169, 'grad_norm': 2.995251178741455, 'learning_rate': 1.368023293524695e-06, 'epoch': 0.08}

 90%|████████▉ | 8995/10000 [22:46:25<2:35:00,  9.25s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.6164143085479736, dino_loss: 0.5859375, depth_loss: 0.04428999871015549, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
seg_loss: 0.8968226909637451, dino_loss: 0.59765625, depth_loss: 0.04488680884242058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8996/10000 [22:46:34<2:33:38,  9.18s/it]
                                                         
{'loss': 2.2492, 'grad_norm': 2.779451847076416, 'learning_rate': 1.3653272564232101e-06, 'epoch': 0.08}

 90%|████████▉ | 8996/10000 [22:46:34<2:33:38,  9.18s/it]the number of masks: 8
the number of masks: 8
seg_loss: 0.8268435597419739, dino_loss: 0.6484375, depth_loss: 0.060639023780822754, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.9462650418281555, dino_loss: 0.0, depth_loss: 0.06762948632240295, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8997/10000 [22:46:43<2:31:59,  9.09s/it]
                                                         
{'loss': 2.1505, 'grad_norm': 2.3705949783325195, 'learning_rate': 1.3626338039739977e-06, 'epoch': 0.08}

 90%|████████▉ | 8997/10000 [22:46:43<2:31:59,  9.09s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8280625343322754, dino_loss: 0.58984375, depth_loss: 0.0484759658575058, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.7537350058555603, dino_loss: 0.5859375, depth_loss: 0.052355408668518066, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8998/10000 [22:46:54<2:43:32,  9.79s/it]
                                                         
{'loss': 2.1597, 'grad_norm': 2.624239921569824, 'learning_rate': 1.3599429364716144e-06, 'epoch': 0.08}

 90%|████████▉ | 8998/10000 [22:46:54<2:43:32,  9.79s/it]the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.8510444164276123, dino_loss: 0.6328125, depth_loss: 0.04839008301496506, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
the number of masks: 8
the number of masks: 8
seg_loss: 0.727210521697998, dino_loss: 0.6640625, depth_loss: 0.039594050496816635, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|████████▉ | 8999/10000 [22:47:06<2:52:36, 10.35s/it]
                                                         
{'loss': 2.1804, 'grad_norm': 4.110332012176514, 'learning_rate': 1.3572546542103299e-06, 'epoch': 0.08}

 90%|████████▉ | 8999/10000 [22:47:06<2:52:36, 10.35s/it]the number of masks: 8
seg_loss: 0.4068154990673065, dino_loss: 0.62109375, depth_loss: 0.04784400016069412, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0
the number of masks: 8
the number of masks: 8
seg_loss: 0.7496877908706665, dino_loss: 0.734375, depth_loss: 0.06562599539756775, SD_loss: 0.0, Internvit_loss: 0.0, pidinet_loss: 0.0, siglip_loss: 0.0, metaclip_loss: 0.0

 90%|█████████ | 9000/10000 [22:47:14<2:40:48,  9.65s/it]
                                                         
{'loss': 1.9721, 'grad_norm': 5.251120567321777, 'learning_rate': 1.3545689574841342e-06, 'epoch': 0.08}

 90%|█████████ | 9000/10000 [22:47:14<2:40:48,  9.65s/it]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
/root/miniconda3/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
  warnings.warn(  # warn only once
/root/miniconda3/lib/python3.12/site-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(

 90%|█████████ | 9001/10000 [22:48:37<8:48:07, 31.72s/it]
                                                         
{'loss': 0.9122, 'grad_norm': 0.351457417011261, 'learning_rate': 1.3518858465867228e-06, 'epoch': 0.08}

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{'loss': 0.4888, 'grad_norm': 0.7522508502006531, 'learning_rate': 1.3492053218115252e-06, 'epoch': 0.08}

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{'loss': 0.4797, 'grad_norm': 0.4927164912223816, 'learning_rate': 1.3465273834516706e-06, 'epoch': 0.08}

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{'loss': 0.7967, 'grad_norm': 0.6194016337394714, 'learning_rate': 1.3438520318000191e-06, 'epoch': 0.08}

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{'loss': 0.8853, 'grad_norm': 0.4555067718029022, 'learning_rate': 1.3411792671491424e-06, 'epoch': 0.08}

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{'loss': 0.3983, 'grad_norm': 0.7909232974052429, 'learning_rate': 1.3385090897913344e-06, 'epoch': 0.08}

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{'loss': 0.5352, 'grad_norm': 0.9659263491630554, 'learning_rate': 1.3358415000185947e-06, 'epoch': 0.08}

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{'loss': 0.3932, 'grad_norm': 1.3390817642211914, 'learning_rate': 1.333176498122654e-06, 'epoch': 0.08}

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{'loss': 0.7367, 'grad_norm': 0.5865312218666077, 'learning_rate': 1.330514084394946e-06, 'epoch': 0.08}

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{'loss': 0.724, 'grad_norm': 0.49406522512435913, 'learning_rate': 1.3278542591266291e-06, 'epoch': 0.08}

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{'loss': 0.7592, 'grad_norm': 0.48753082752227783, 'learning_rate': 1.3251970226085792e-06, 'epoch': 0.08}

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{'loss': 1.0012, 'grad_norm': 1.3788878917694092, 'learning_rate': 1.3225423751313942e-06, 'epoch': 0.08}

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{'loss': 0.7584, 'grad_norm': 0.6561505794525146, 'learning_rate': 1.3198903169853728e-06, 'epoch': 0.08}

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{'loss': 0.7046, 'grad_norm': 0.5541167855262756, 'learning_rate': 1.3172408484605464e-06, 'epoch': 0.08}

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{'loss': 0.9341, 'grad_norm': 0.5119516849517822, 'learning_rate': 1.3145939698466502e-06, 'epoch': 0.08}

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{'loss': 0.8709, 'grad_norm': 0.2676391005516052, 'learning_rate': 1.31194968143315e-06, 'epoch': 0.08}

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{'loss': 0.6758, 'grad_norm': 0.42651817202568054, 'learning_rate': 1.3093079835092141e-06, 'epoch': 0.08}

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{'loss': 0.7487, 'grad_norm': 0.5757588744163513, 'learning_rate': 1.3066688763637453e-06, 'epoch': 0.08}

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{'loss': 0.6149, 'grad_norm': 0.745564341545105, 'learning_rate': 1.3040323602853427e-06, 'epoch': 0.08}

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{'loss': 0.7579, 'grad_norm': 0.44677695631980896, 'learning_rate': 1.3013984355623315e-06, 'epoch': 0.08}

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{'loss': 0.7887, 'grad_norm': 0.9937055706977844, 'learning_rate': 1.2987671024827646e-06, 'epoch': 0.08}

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{'loss': 1.0289, 'grad_norm': 0.33838993310928345, 'learning_rate': 1.296138361334387e-06, 'epoch': 0.08}

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{'loss': 0.7841, 'grad_norm': 0.4192790389060974, 'learning_rate': 1.2935122124046795e-06, 'epoch': 0.08}

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{'loss': 0.9253, 'grad_norm': 0.2905822694301605, 'learning_rate': 1.2908886559808348e-06, 'epoch': 0.08}

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{'loss': 0.6256, 'grad_norm': 0.8923854231834412, 'learning_rate': 1.288267692349765e-06, 'epoch': 0.08}

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{'loss': 0.307, 'grad_norm': 0.6663064360618591, 'learning_rate': 1.2856493217980853e-06, 'epoch': 0.08}

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{'loss': 0.9758, 'grad_norm': 0.3086475431919098, 'learning_rate': 1.2830335446121473e-06, 'epoch': 0.08}

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{'loss': 0.5122, 'grad_norm': 0.6591843962669373, 'learning_rate': 1.2804203610779968e-06, 'epoch': 0.08}

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{'loss': 0.8138, 'grad_norm': 0.7326618432998657, 'learning_rate': 1.277809771481417e-06, 'epoch': 0.08}

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{'loss': 0.4499, 'grad_norm': 0.8562834858894348, 'learning_rate': 1.2752017761078927e-06, 'epoch': 0.08}

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{'loss': 0.4156, 'grad_norm': 1.0200592279434204, 'learning_rate': 1.2725963752426379e-06, 'epoch': 0.08}

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{'loss': 0.3554, 'grad_norm': 0.9167670607566833, 'learning_rate': 1.2699935691705634e-06, 'epoch': 0.08}

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{'loss': 0.6914, 'grad_norm': 0.3989214301109314, 'learning_rate': 1.2673933581763192e-06, 'epoch': 0.08}

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{'loss': 1.0964, 'grad_norm': 0.5762820243835449, 'learning_rate': 1.2647957425442531e-06, 'epoch': 0.08}

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{'loss': 0.6922, 'grad_norm': 0.43383753299713135, 'learning_rate': 1.2622007225584431e-06, 'epoch': 0.08}

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{'loss': 0.4872, 'grad_norm': 0.6135145425796509, 'learning_rate': 1.2596082985026654e-06, 'epoch': 0.08}

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{'loss': 0.4896, 'grad_norm': 1.0335302352905273, 'learning_rate': 1.2570184706604372e-06, 'epoch': 0.08}

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{'loss': 0.6843, 'grad_norm': 0.5836238861083984, 'learning_rate': 1.2544312393149683e-06, 'epoch': 0.08}

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{'loss': 0.3136, 'grad_norm': 0.7915847301483154, 'learning_rate': 1.2518466047492046e-06, 'epoch': 0.08}

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{'loss': 0.6059, 'grad_norm': 0.7997232675552368, 'learning_rate': 1.2492645672457837e-06, 'epoch': 0.08}

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{'loss': 0.7767, 'grad_norm': 0.45426851511001587, 'learning_rate': 1.2466851270870856e-06, 'epoch': 0.08}

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{'loss': 0.679, 'grad_norm': 0.7984994649887085, 'learning_rate': 1.2441082845551844e-06, 'epoch': 0.08}

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{'loss': 0.9249, 'grad_norm': 0.2642310559749603, 'learning_rate': 1.2415340399318908e-06, 'epoch': 0.08}

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{'loss': 0.5138, 'grad_norm': 1.6013541221618652, 'learning_rate': 1.2389623934987133e-06, 'epoch': 0.08}

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{'loss': 0.4293, 'grad_norm': 0.7767230868339539, 'learning_rate': 1.2363933455368792e-06, 'epoch': 0.08}

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{'loss': 0.7, 'grad_norm': 0.5855870246887207, 'learning_rate': 1.2338268963273474e-06, 'epoch': 0.08}

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{'loss': 0.6857, 'grad_norm': 0.7318033576011658, 'learning_rate': 1.2312630461507712e-06, 'epoch': 0.08}

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{'loss': 0.4453, 'grad_norm': 0.9837144017219543, 'learning_rate': 1.2287017952875347e-06, 'epoch': 0.08}

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{'loss': 0.9475, 'grad_norm': 0.7559579014778137, 'learning_rate': 1.2261431440177246e-06, 'epoch': 0.08}

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{'loss': 0.8026, 'grad_norm': 0.4596804082393646, 'learning_rate': 1.2235870926211619e-06, 'epoch': 0.08}

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{'loss': 1.5236, 'grad_norm': 0.34142976999282837, 'learning_rate': 1.2210336413773644e-06, 'epoch': 0.08}

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{'loss': 1.0622, 'grad_norm': 0.33432403206825256, 'learning_rate': 1.218482790565581e-06, 'epoch': 0.08}

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{'loss': 0.832, 'grad_norm': 0.3819226920604706, 'learning_rate': 1.215934540464761e-06, 'epoch': 0.08}

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{'loss': 0.7739, 'grad_norm': 2.4821670055389404, 'learning_rate': 1.213388891353584e-06, 'epoch': 0.08}

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{'loss': 1.2444, 'grad_norm': 0.49181267619132996, 'learning_rate': 1.2108458435104274e-06, 'epoch': 0.08}

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{'loss': 0.6632, 'grad_norm': 0.7186066508293152, 'learning_rate': 1.2083053972134107e-06, 'epoch': 0.08}

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{'loss': 0.7373, 'grad_norm': 0.7549406290054321, 'learning_rate': 1.2057675527403417e-06, 'epoch': 0.08}

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{'loss': 0.3949, 'grad_norm': 0.8027094006538391, 'learning_rate': 1.2032323103687654e-06, 'epoch': 0.08}

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{'loss': 0.8697, 'grad_norm': 0.3107297718524933, 'learning_rate': 1.2006996703759182e-06, 'epoch': 0.08}

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{'loss': 0.9057, 'grad_norm': 0.4335313141345978, 'learning_rate': 1.1981696330387787e-06, 'epoch': 0.08}

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{'loss': 0.8938, 'grad_norm': 0.29035302996635437, 'learning_rate': 1.1956421986340143e-06, 'epoch': 0.08}

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{'loss': 0.7332, 'grad_norm': 0.6591086983680725, 'learning_rate': 1.1210308907325634e-06, 'epoch': 0.08}

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{'loss': 1.0364, 'grad_norm': 0.2980397641658783, 'learning_rate': 1.1161402867255754e-06, 'epoch': 0.08}

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{'loss': 0.9003, 'grad_norm': 0.4601249098777771, 'learning_rate': 1.1136989024429305e-06, 'epoch': 0.08}

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{'loss': 0.6905, 'grad_norm': 0.47160160541534424, 'learning_rate': 1.1112601303302605e-06, 'epoch': 0.08}

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{'loss': 0.5095, 'grad_norm': 2.164823055267334, 'learning_rate': 1.1088239706542686e-06, 'epoch': 0.08}

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{'loss': 0.8465, 'grad_norm': 0.49923577904701233, 'learning_rate': 1.1063904236813639e-06, 'epoch': 0.08}

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{'loss': 0.9712, 'grad_norm': 0.39000722765922546, 'learning_rate': 1.1039594896776834e-06, 'epoch': 0.08}

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{'loss': 0.5857, 'grad_norm': 0.8129838705062866, 'learning_rate': 1.101531168909059e-06, 'epoch': 0.08}

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{'loss': 0.9212, 'grad_norm': 1.1284598112106323, 'learning_rate': 1.0991054616410589e-06, 'epoch': 0.08}

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{'loss': 0.4313, 'grad_norm': 0.7773606777191162, 'learning_rate': 1.0966823681389515e-06, 'epoch': 0.08}

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{'loss': 1.1678, 'grad_norm': 0.2848604619503021, 'learning_rate': 1.0942618886677219e-06, 'epoch': 0.08}

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{'loss': 1.2941, 'grad_norm': 0.5065256357192993, 'learning_rate': 1.0918440234920696e-06, 'epoch': 0.08}

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{'loss': 0.6722, 'grad_norm': 0.43618491291999817, 'learning_rate': 1.0894287728764136e-06, 'epoch': 0.08}

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{'loss': 0.8965, 'grad_norm': 0.3727746605873108, 'learning_rate': 1.087016137084873e-06, 'epoch': 0.08}

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{'loss': 0.7588, 'grad_norm': 0.5277385115623474, 'learning_rate': 1.0846061163812954e-06, 'epoch': 0.08}

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{'loss': 0.4317, 'grad_norm': 0.45521631836891174, 'learning_rate': 1.0821987110292365e-06, 'epoch': 0.08}

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{'loss': 0.6676, 'grad_norm': 0.44867923855781555, 'learning_rate': 1.0797939212919717e-06, 'epoch': 0.08}

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{'loss': 0.0865, 'grad_norm': 1.0316808223724365, 'learning_rate': 1.074992189713453e-06, 'epoch': 0.08}

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{'loss': 0.5212, 'grad_norm': 0.5732155442237854, 'learning_rate': 1.0725952483973123e-06, 'epoch': 0.08}

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{'loss': 0.8587, 'grad_norm': 0.32084181904792786, 'learning_rate': 1.0702009237461814e-06, 'epoch': 0.08}

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{'loss': 0.6082, 'grad_norm': 0.6274757385253906, 'learning_rate': 1.0678092160218979e-06, 'epoch': 0.08}

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{'loss': 0.7242, 'grad_norm': 0.3197605311870575, 'learning_rate': 1.0654201254860163e-06, 'epoch': 0.08}

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{'loss': 0.3263, 'grad_norm': 1.145825743675232, 'learning_rate': 1.0630336523998113e-06, 'epoch': 0.08}

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{'loss': 0.9922, 'grad_norm': 0.384270042181015, 'learning_rate': 1.0606497970242518e-06, 'epoch': 0.08}

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{'loss': 0.4185, 'grad_norm': 0.6446685194969177, 'learning_rate': 1.0582685596200403e-06, 'epoch': 0.08}

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{'loss': 0.6763, 'grad_norm': 0.42398273944854736, 'learning_rate': 1.0558899404475824e-06, 'epoch': 0.08}

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{'loss': 0.5512, 'grad_norm': 0.6409326195716858, 'learning_rate': 1.0535139397670008e-06, 'epoch': 0.08}

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{'loss': 0.6836, 'grad_norm': 0.5483061671257019, 'learning_rate': 1.051140557838129e-06, 'epoch': 0.08}

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{'loss': 0.5895, 'grad_norm': 0.5613130927085876, 'learning_rate': 1.0487697949205261e-06, 'epoch': 0.08}

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{'loss': 1.2505, 'grad_norm': 0.33449384570121765, 'learning_rate': 1.0464016512734432e-06, 'epoch': 0.08}

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{'loss': 0.2831, 'grad_norm': 0.5126941204071045, 'learning_rate': 1.0440361271558646e-06, 'epoch': 0.08}

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{'loss': 0.8139, 'grad_norm': 0.8211728930473328, 'learning_rate': 1.0416732228264752e-06, 'epoch': 0.08}

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{'loss': 0.5386, 'grad_norm': 0.7479391694068909, 'learning_rate': 1.0393129385436824e-06, 'epoch': 0.08}

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{'loss': 0.8133, 'grad_norm': 0.4590644836425781, 'learning_rate': 1.0369552745656013e-06, 'epoch': 0.08}

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