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debugging_optimized
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[INFO] Running in WANDB offline mode
[INFO] Running in WANDB offline mode
[INFO] Running in WANDB offline mode
[INFO] Running in WANDB offline mode
Trainer._get_train_sampler replaced with custom implementation.
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
Trainer._get_train_sampler replaced with custom implementation.
[2026-09-18 03:20:55,773] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
[2026-09-18 03:20:55,815] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2026-09-18 03:20:56,088] [INFO] [comm.py:658:init_distributed] cdb=None
[2026-09-18 03:20:56,088] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
Trainer._get_train_sampler replaced with custom implementation.
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
[2026-09-18 03:20:56,120] [INFO] [comm.py:658:init_distributed] cdb=None
[2026-09-18 03:20:56,137] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
Trainer._get_train_sampler replaced with custom implementation.
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
[2026-09-18 03:20:56,191] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
[2026-09-18 03:20:56,439] [INFO] [comm.py:658:init_distributed] cdb=None
[2026-09-18 03:20:56,497] [INFO] [comm.py:658:init_distributed] cdb=None
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled

Loading weights:   0%|          | 0/723 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 723/723 [00:00<00:00, 10634.80it/s]

Loading weights:   0%|          | 0/723 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 723/723 [00:00<00:00, 10477.43it/s]
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled

Loading weights:   0%|          | 0/723 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 723/723 [00:00<00:00, 11782.21it/s]

Loading weights:   0%|          | 0/723 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 723/723 [00:00<00:00, 11430.65it/s]
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
Loading weights from local directory
Loading weights from local directory
Loading weights from local directory
Loading weights from local directory
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
Qwen3_5Config {
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  "geometry_encoder_layers": [
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  "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
  "geometry_encoder_streaming": true,
  "geometry_encoder_type": "vggt",
  "geometry_frame_strict": true,
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      "linear_attention",
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      "linear_attention",
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    },
    "tie_word_embeddings": true,
    "use_cache": true,
    "vocab_size": 248320
  },
  "tie_word_embeddings": true,
  "transformers_version": "5.3.0",
  "use_cache": false,
  "use_geometry_encoder": true,
  "video_token_id": 248057,
  "vision_config": {
    "deepstack_visual_indexes": [],
    "depth": 24,
    "dtype": "bfloat16",
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1024,
    "in_channels": 3,
    "initializer_range": 0.02,
    "intermediate_size": 4096,
    "model_type": "qwen3_5",
    "num_heads": 16,
    "num_position_embeddings": 2304,
    "out_hidden_size": 2560,
    "patch_size": 16,
    "spatial_merge_size": 2,
    "temporal_patch_size": 2
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  "vision_end_token_id": 248054,
  "vision_language_fusion_layers": null,
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Loading datasets: [{'annotation_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN/train_r2r_rxr.json', 'data_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN', 'tag': '3d', 'sampling_rate': 1.0, 'dataset_name': 'train_r2r_rxr'}]
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
Qwen3_5Config {
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  "dtype": "bfloat16",
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  "fusion_num_layers": 1,
  "geometry_encoder_layers": [
    11,
    17,
    23
  ],
  "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
  "geometry_encoder_streaming": true,
  "geometry_encoder_type": "vggt",
  "geometry_frame_strict": true,
  "geometry_fusion_layers": [
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  ],
  "geometry_fusion_scale": 0.5,
  "geometry_importance_gate": true,
  "geometry_learnable_scale": true,
  "geometry_merger_type": "mlp",
  "geometry_spatial_bias": false,
  "image_token_id": 248056,
  "include_camera_token": false,
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  "pos_encoding_type": "none",
  "reference_frame": "first",
  "supervised_token_loss": true,
  "text_config": {
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attn_output_gate": true,
    "bos_token_id": null,
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    "eos_token_id": 248044,
    "full_attention_interval": 4,
    "head_dim": 256,
    "hidden_act": "silu",
    "hidden_size": 2560,
    "initializer_range": 0.02,
    "intermediate_size": 9216,
    "layer_types": [
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      "linear_attention",
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      "linear_attention",
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      "linear_attention",
      "linear_attention",
      "full_attention"
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    "linear_conv_kernel_dim": 4,
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    "linear_num_key_heads": 16,
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    "linear_value_head_dim": 128,
    "mamba_ssm_dtype": "float32",
    "max_position_embeddings": 262144,
    "mlp_only_layers": [],
    "model_type": "qwen3_5_text",
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    "temporal_patch_size": 2
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  "vision_end_token_id": 248054,
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  "vision_start_token_id": 248053
}

Loading datasets: [{'annotation_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN/train_r2r_rxr.json', 'data_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN', 'tag': '3d', 'sampling_rate': 1.0, 'dataset_name': 'train_r2r_rxr'}]
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
Qwen3_5Config {
  "architectures": [
    "Qwen3_5ForConditionalGeneration"
  ],
  "dtype": "bfloat16",
  "feature_fusion_method": "deepstack_language_add",
  "fusion_num_layers": 1,
  "geometry_encoder_layers": [
    11,
    17,
    23
  ],
  "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
  "geometry_encoder_streaming": true,
  "geometry_encoder_type": "vggt",
  "geometry_frame_strict": true,
  "geometry_fusion_layers": [
    0,
    1,
    2
  ],
  "geometry_fusion_scale": 0.5,
  "geometry_importance_gate": true,
  "geometry_learnable_scale": true,
  "geometry_merger_type": "mlp",
  "geometry_spatial_bias": false,
  "image_token_id": 248056,
  "include_camera_token": false,
  "model_type": "qwen3_5",
  "pos_encoding_type": "none",
  "reference_frame": "first",
  "supervised_token_loss": true,
  "text_config": {
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attn_output_gate": true,
    "bos_token_id": null,
    "dtype": "bfloat16",
    "eos_token_id": 248044,
    "full_attention_interval": 4,
    "head_dim": 256,
    "hidden_act": "silu",
    "hidden_size": 2560,
    "initializer_range": 0.02,
    "intermediate_size": 9216,
    "layer_types": [
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention"
    ],
    "linear_conv_kernel_dim": 4,
    "linear_key_head_dim": 128,
    "linear_num_key_heads": 16,
    "linear_num_value_heads": 32,
    "linear_value_head_dim": 128,
    "mamba_ssm_dtype": "float32",
    "max_position_embeddings": 262144,
    "mlp_only_layers": [],
    "model_type": "qwen3_5_text",
    "mtp_num_hidden_layers": 1,
    "mtp_use_dedicated_embeddings": false,
    "num_attention_heads": 16,
    "num_hidden_layers": 32,
    "num_key_value_heads": 4,
    "pad_token_id": null,
    "partial_rotary_factor": 0.25,
    "rms_norm_eps": 1e-06,
    "rope_parameters": {
      "mrope_interleaved": true,
      "mrope_section": [
        11,
        11,
        10
      ],
      "partial_rotary_factor": 0.25,
      "rope_theta": 10000000,
      "rope_type": "default"
    },
    "tie_word_embeddings": true,
    "use_cache": true,
    "vocab_size": 248320
  },
  "tie_word_embeddings": true,
  "transformers_version": "5.3.0",
  "use_cache": false,
  "use_geometry_encoder": true,
  "video_token_id": 248057,
  "vision_config": {
    "deepstack_visual_indexes": [],
    "depth": 24,
    "dtype": "bfloat16",
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1024,
    "in_channels": 3,
    "initializer_range": 0.02,
    "intermediate_size": 4096,
    "model_type": "qwen3_5",
    "num_heads": 16,
    "num_position_embeddings": 2304,
    "out_hidden_size": 2560,
    "patch_size": 16,
    "spatial_merge_size": 2,
    "temporal_patch_size": 2
  },
  "vision_end_token_id": 248054,
  "vision_language_fusion_layers": null,
  "vision_start_token_id": 248053
}

Loading datasets: [{'annotation_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN/train_r2r_rxr.json', 'data_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN', 'tag': '3d', 'sampling_rate': 1.0, 'dataset_name': 'train_r2r_rxr'}]
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
Vision Module - Attention Blocks:
Trainable Block Indices: None
Non-Trainable Block Indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]
Merger Module Trainable: True
LLM Module - Embed Tokens Trainable: True
LLM Module - Trainable Layer Indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]
LLM Module - Non-Trainable Layer Indices: None
Qwen3_5Config {
  "architectures": [
    "Qwen3_5ForConditionalGeneration"
  ],
  "dtype": "bfloat16",
  "feature_fusion_method": "deepstack_language_add",
  "fusion_num_layers": 1,
  "geometry_encoder_layers": [
    11,
    17,
    23
  ],
  "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
  "geometry_encoder_streaming": true,
  "geometry_encoder_type": "vggt",
  "geometry_frame_strict": true,
  "geometry_fusion_layers": [
    0,
    1,
    2
  ],
  "geometry_fusion_scale": 0.5,
  "geometry_importance_gate": true,
  "geometry_learnable_scale": true,
  "geometry_merger_type": "mlp",
  "geometry_spatial_bias": false,
  "image_token_id": 248056,
  "include_camera_token": false,
  "model_type": "qwen3_5",
  "pos_encoding_type": "none",
  "reference_frame": "first",
  "supervised_token_loss": true,
  "text_config": {
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attn_output_gate": true,
    "bos_token_id": null,
    "dtype": "bfloat16",
    "eos_token_id": 248044,
    "full_attention_interval": 4,
    "head_dim": 256,
    "hidden_act": "silu",
    "hidden_size": 2560,
    "initializer_range": 0.02,
    "intermediate_size": 9216,
    "layer_types": [
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention"
    ],
    "linear_conv_kernel_dim": 4,
    "linear_key_head_dim": 128,
    "linear_num_key_heads": 16,
    "linear_num_value_heads": 32,
    "linear_value_head_dim": 128,
    "mamba_ssm_dtype": "float32",
    "max_position_embeddings": 262144,
    "mlp_only_layers": [],
    "model_type": "qwen3_5_text",
    "mtp_num_hidden_layers": 1,
    "mtp_use_dedicated_embeddings": false,
    "num_attention_heads": 16,
    "num_hidden_layers": 32,
    "num_key_value_heads": 4,
    "pad_token_id": null,
    "partial_rotary_factor": 0.25,
    "rms_norm_eps": 1e-06,
    "rope_parameters": {
      "mrope_interleaved": true,
      "mrope_section": [
        11,
        11,
        10
      ],
      "partial_rotary_factor": 0.25,
      "rope_theta": 10000000,
      "rope_type": "default"
    },
    "tie_word_embeddings": true,
    "use_cache": true,
    "vocab_size": 248320
  },
  "tie_word_embeddings": true,
  "transformers_version": "5.3.0",
  "use_cache": false,
  "use_geometry_encoder": true,
  "video_token_id": 248057,
  "vision_config": {
    "deepstack_visual_indexes": [],
    "depth": 24,
    "dtype": "bfloat16",
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1024,
    "in_channels": 3,
    "initializer_range": 0.02,
    "intermediate_size": 4096,
    "model_type": "qwen3_5",
    "num_heads": 16,
    "num_position_embeddings": 2304,
    "out_hidden_size": 2560,
    "patch_size": 16,
    "spatial_merge_size": 2,
    "temporal_patch_size": 2
  },
  "vision_end_token_id": 248054,
  "vision_language_fusion_layers": null,
  "vision_start_token_id": 248053
}

Loading datasets: [{'annotation_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN/train_r2r_rxr.json', 'data_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN', 'tag': '3d', 'sampling_rate': 1.0, 'dataset_name': 'train_r2r_rxr'}]
Total training samples: 2429620
Total training samples: 2429620
Total training samples: 2429620
Total training samples: 2429620
Formatting inputs...Skip in lazy mode
Formatting inputs...Skip in lazy mode
Formatting inputs...Skip in lazy mode
Formatting inputs...Skip in lazy mode
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 248046, 'pad_token_id': 248044}.
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 248046, 'pad_token_id': 248044}.
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 248046, 'pad_token_id': 248044}.
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 248046, 'pad_token_id': 248044}.
NCCL version 2.26.2+cuda12.2

[2026-09-18 03:21:53] worker-1:2232524:2233270 [1] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use

[2026-09-18 03:21:54] worker-1:2232523:2233271 [0] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use

[2026-09-18 03:21:54] worker-1:2232526:2233275 [3] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use

[2026-09-18 03:21:54] worker-1:2232525:2233269 [2] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
[TrainingRuntime] {"rank": "2", "versions": {"torch": "2.7.0+cu128", "transformers": "5.3.0", "deepspeed": "0.16.4", "flash-attn": "2.8.3", "triton": "3.3.0", "flash-linear-attention": "0.5.1", "causal-conv1d": "1.6.2.post1"}, "cuda": "12.8", "world_size": 4, "gpu": "NVIDIA H100 80GB HBM3", "micro_batch": 8, "accumulation": 2, "effective_global_batch": 64, "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "CUDA_LAUNCH_BLOCKING": "0", "deepspeed": "scripts/zero2_h100.json"}
[TrainingMemory] {"rank": "2", "stage": "train_begin", "step": 0, "allocated_GiB": 14.601, "reserved_GiB": 19.906, "peak_allocated_GiB": 18.713, "peak_reserved_GiB": 19.906, "device_free_GiB": 57.864, "device_total_GiB": 79.189}
[TrainingRuntime] {"rank": "3", "versions": {"torch": "2.7.0+cu128", "transformers": "5.3.0", "deepspeed": "0.16.4", "flash-attn": "2.8.3", "triton": "3.3.0", "flash-linear-attention": "0.5.1", "causal-conv1d": "1.6.2.post1"}, "cuda": "12.8", "world_size": 4, "gpu": "NVIDIA H100 80GB HBM3", "micro_batch": 8, "accumulation": 2, "effective_global_batch": 64, "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "CUDA_LAUNCH_BLOCKING": "0", "deepspeed": "scripts/zero2_h100.json"}
[TrainingMemory] {"rank": "3", "stage": "train_begin", "step": 0, "allocated_GiB": 14.601, "reserved_GiB": 19.906, "peak_allocated_GiB": 18.713, "peak_reserved_GiB": 19.906, "device_free_GiB": 57.864, "device_total_GiB": 79.189}
[TrainingRuntime] {"rank": "1", "versions": {"torch": "2.7.0+cu128", "transformers": "5.3.0", "deepspeed": "0.16.4", "flash-attn": "2.8.3", "triton": "3.3.0", "flash-linear-attention": "0.5.1", "causal-conv1d": "1.6.2.post1"}, "cuda": "12.8", "world_size": 4, "gpu": "NVIDIA H100 80GB HBM3", "micro_batch": 8, "accumulation": 2, "effective_global_batch": 64, "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "CUDA_LAUNCH_BLOCKING": "0", "deepspeed": "scripts/zero2_h100.json"}
[TrainingMemory] {"rank": "1", "stage": "train_begin", "step": 0, "allocated_GiB": 14.601, "reserved_GiB": 19.906, "peak_allocated_GiB": 18.713, "peak_reserved_GiB": 19.906, "device_free_GiB": 57.864, "device_total_GiB": 79.189}
[TrainingRuntime] {"rank": "0", "versions": {"torch": "2.7.0+cu128", "transformers": "5.3.0", "deepspeed": "0.16.4", "flash-attn": "2.8.3", "triton": "3.3.0", "flash-linear-attention": "0.5.1", "causal-conv1d": "1.6.2.post1"}, "cuda": "12.8", "world_size": 4, "gpu": "NVIDIA H100 80GB HBM3", "micro_batch": 8, "accumulation": 2, "effective_global_batch": 64, "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "CUDA_LAUNCH_BLOCKING": "0", "deepspeed": "scripts/zero2_h100.json"}
[TrainingMemory] {"rank": "0", "stage": "train_begin", "step": 0, "allocated_GiB": 14.601, "reserved_GiB": 19.906, "peak_allocated_GiB": 14.601, "peak_reserved_GiB": 19.906, "device_free_GiB": 57.864, "device_total_GiB": 79.189}

  0%|          | 0/50 [00:00<?, ?it/s][GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (3, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (5, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (6, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (2, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 1, "allocated_GiB": 24.172, "reserved_GiB": 59.012, "peak_allocated_GiB": 34.603, "peak_reserved_GiB": 59.012, "device_free_GiB": 13.872, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 1, "allocated_GiB": 24.219, "reserved_GiB": 60.086, "peak_allocated_GiB": 34.985, "peak_reserved_GiB": 60.086, "device_free_GiB": 12.798, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 1, "allocated_GiB": 24.144, "reserved_GiB": 58.639, "peak_allocated_GiB": 34.353, "peak_reserved_GiB": 58.639, "device_free_GiB": 14.245, "device_total_GiB": 79.189}

  2%|▏         | 1/50 [01:31<1:14:24, 91.11s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 1, "allocated_GiB": 24.191, "reserved_GiB": 59.674, "peak_allocated_GiB": 34.767, "peak_reserved_GiB": 59.674, "device_free_GiB": 13.21, "device_total_GiB": 79.189}
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 2, "allocated_GiB": 24.125, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.81, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 2, "allocated_GiB": 24.238, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.052, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.208, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 2, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.308, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}

  4%|▍         | 2/50 [01:47<37:45, 47.20s/it]  [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 2, "allocated_GiB": 24.192, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.224, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.796, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 3, "allocated_GiB": 24.163, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.43, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}

  6%|▌         | 3/50 [02:04<25:59, 33.17s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 3, "allocated_GiB": 24.23, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.116, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 3, "allocated_GiB": 24.248, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.212, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.796, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 3, "allocated_GiB": 24.21, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.704, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.208, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 4, "allocated_GiB": 24.124, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.203, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}

  8%|▊         | 4/50 [02:28<22:51, 29.81s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 4, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.838, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 4, "allocated_GiB": 24.172, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.857, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 4, "allocated_GiB": 24.21, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.121, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 5, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.187, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 5, "allocated_GiB": 24.144, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.489, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}

 10%|█         | 5/50 [02:45<18:47, 25.06s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 5, "allocated_GiB": 24.183, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.961, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 5, "allocated_GiB": 24.153, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.018, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 6, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.264, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}

 12%|█▏        | 6/50 [03:01<16:16, 22.19s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 6, "allocated_GiB": 24.238, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.108, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 6, "allocated_GiB": 24.172, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.908, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 6, "allocated_GiB": 24.229, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.154, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
[GeometryBatch] micro_batch=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 7, "allocated_GiB": 24.219, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.942, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}

 14%|█▍        | 7/50 [03:18<14:30, 20.25s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 7, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.23, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 7, "allocated_GiB": 24.192, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.002, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 7, "allocated_GiB": 24.143, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.148, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 8, "allocated_GiB": 24.22, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.251, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 8, "allocated_GiB": 24.2, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.913, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 8, "allocated_GiB": 24.144, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.511, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.241, "device_total_GiB": 79.189}

 16%|█▌        | 8/50 [04:00<19:11, 27.41s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 8, "allocated_GiB": 24.201, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.065, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 9, "allocated_GiB": 24.21, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.741, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.241, "device_total_GiB": 79.189}

 18%|█▊        | 9/50 [04:17<16:22, 23.97s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 9, "allocated_GiB": 24.181, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.238, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 9, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.261, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 9, "allocated_GiB": 24.23, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.191, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 10, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.912, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 10, "allocated_GiB": 24.173, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.508, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.241, "device_total_GiB": 79.189}

 20%|██        | 10/50 [04:33<14:25, 21.64s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 10, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.999, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 10, "allocated_GiB": 24.22, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.144, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 10, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.999, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 10, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.912, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 10, "allocated_GiB": 24.173, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.508, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 10, "allocated_GiB": 24.22, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.144, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}


                                               
{'loss': '0.8444', 'grad_norm': '26.84', 'learning_rate': '1.897e-05', 'epoch': '0.0002634'}

 20%|██        | 10/50 [04:34<14:25, 21.64s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 11, "allocated_GiB": 24.172, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.53, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 22%|██▏       | 11/50 [04:50<13:04, 20.12s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 11, "allocated_GiB": 24.125, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.786, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 11, "allocated_GiB": 24.143, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.869, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 11, "allocated_GiB": 24.143, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.807, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 12, "allocated_GiB": 24.172, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.419, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 24%|██▍       | 12/50 [05:07<12:05, 19.08s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 12, "allocated_GiB": 24.145, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.859, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 12, "allocated_GiB": 24.191, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.249, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 12, "allocated_GiB": 24.23, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.035, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 13, "allocated_GiB": 24.191, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.755, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 26%|██▌       | 13/50 [05:23<11:16, 18.27s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 13, "allocated_GiB": 24.211, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.28, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 13, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.18, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.933, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 14, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.345, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 14, "allocated_GiB": 24.229, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.749, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 28%|██▊       | 14/50 [05:38<10:19, 17.21s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.171, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 14, "allocated_GiB": 24.248, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.242, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 15, "allocated_GiB": 24.124, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.297, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 15, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.321, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}

 30%|███       | 15/50 [05:54<09:49, 16.85s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 15, "allocated_GiB": 24.124, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.604, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 15, "allocated_GiB": 24.135, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.729, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 16, "allocated_GiB": 24.192, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.988, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 16, "allocated_GiB": 24.126, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.86, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 16, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.631, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 32%|███▏      | 16/50 [06:10<09:27, 16.70s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.211, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.978, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 17, "allocated_GiB": 24.173, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.124, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 17, "allocated_GiB": 24.181, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.876, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 17, "allocated_GiB": 24.21, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.588, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 34%|███▍      | 17/50 [06:27<09:10, 16.67s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 17, "allocated_GiB": 24.134, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.852, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 18, "allocated_GiB": 24.229, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.132, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 18, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.348, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 36%|███▌      | 18/50 [06:44<08:55, 16.72s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 18, "allocated_GiB": 24.135, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.796, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 18, "allocated_GiB": 24.182, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.067, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 19, "allocated_GiB": 24.182, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.685, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 19, "allocated_GiB": 24.135, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.715, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 19, "allocated_GiB": 24.162, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.583, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 38%|███▊      | 19/50 [07:00<08:33, 16.56s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 19, "allocated_GiB": 24.181, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.627, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.081, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 20, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.756, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}

 40%|████      | 20/50 [07:16<08:14, 16.49s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 20, "allocated_GiB": 24.153, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.716, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 20, "allocated_GiB": 24.135, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.612, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.081, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 20, "allocated_GiB": 24.135, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.612, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}

                                               
{'loss': '0.3106', 'grad_norm': '7.172', 'learning_rate': '1.442e-05', 'epoch': '0.0005268'}

 40%|████      | 20/50 [07:16<08:14, 16.49s/it][TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 20, "allocated_GiB": 24.153, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.716, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 20, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.756, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 21, "allocated_GiB": 24.116, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.078, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 42%|████▏     | 21/50 [07:32<07:55, 16.40s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 21, "allocated_GiB": 24.22, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.184, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 21, "allocated_GiB": 24.191, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.811, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 21, "allocated_GiB": 24.172, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.647, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 22, "allocated_GiB": 24.257, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.289, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 22, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.517, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 44%|████▍     | 22/50 [07:48<07:36, 16.31s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 22, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.282, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 22, "allocated_GiB": 24.182, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.321, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 23, "allocated_GiB": 24.258, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.257, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 23, "allocated_GiB": 24.181, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.682, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 46%|████▌     | 23/50 [08:03<07:03, 15.69s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 23, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.328, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.217, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 24, "allocated_GiB": 24.134, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.637, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 24, "allocated_GiB": 24.135, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.536, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 24, "allocated_GiB": 24.172, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.908, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 24, "allocated_GiB": 24.163, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.276, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 48%|████▊     | 24/50 [08:19<06:52, 15.87s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 25, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.366, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 50%|█████     | 25/50 [08:35<06:37, 15.92s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 25, "allocated_GiB": 24.229, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.919, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 25, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.319, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 25, "allocated_GiB": 24.258, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.39, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 26, "allocated_GiB": 24.116, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.264, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 52%|█████▏    | 26/50 [08:52<06:29, 16.23s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 26, "allocated_GiB": 24.238, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.255, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 26, "allocated_GiB": 24.192, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.996, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 26, "allocated_GiB": 24.23, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.111, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 27, "allocated_GiB": 24.144, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.49, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 54%|█████▍    | 27/50 [09:09<06:17, 16.40s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 27, "allocated_GiB": 24.229, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.12, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 27, "allocated_GiB": 24.211, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.295, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 27, "allocated_GiB": 24.193, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.264, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 28, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.255, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 28, "allocated_GiB": 24.229, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.772, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 56%|█████▌    | 28/50 [09:26<06:03, 16.54s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 28, "allocated_GiB": 24.174, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.017, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 28, "allocated_GiB": 24.248, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.309, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 29, "allocated_GiB": 24.173, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.174, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 29, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.375, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 58%|█████▊    | 29/50 [09:42<05:49, 16.63s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 29, "allocated_GiB": 24.2, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.984, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 29, "allocated_GiB": 24.191, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.161, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 30, "allocated_GiB": 24.201, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.912, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}

 60%|██████    | 30/50 [09:59<05:34, 16.72s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 30, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.366, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 30, "allocated_GiB": 24.22, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.411, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.047, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 30, "allocated_GiB": 24.201, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.912, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 30, "allocated_GiB": 24.22, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.411, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
                                               

{'loss': '0.2944', 'grad_norm': '6.801', 'learning_rate': '8.049e-06', 'epoch': '0.0007902'}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.047, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}

 60%|██████    | 30/50 [09:59<05:34, 16.72s/it][TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 30, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.366, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 31, "allocated_GiB": 24.173, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.99, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 31, "allocated_GiB": 24.21, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.746, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

 62%|██████▏   | 31/50 [10:16<05:16, 16.64s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 31, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.077, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 31, "allocated_GiB": 24.181, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.84, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 32, "allocated_GiB": 24.173, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.906, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 32, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.391, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

 64%|██████▍   | 32/50 [10:33<04:59, 16.65s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 32, "allocated_GiB": 24.144, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.875, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 32, "allocated_GiB": 24.181, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.983, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 33, "allocated_GiB": 24.144, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.993, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 33, "allocated_GiB": 24.2, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.542, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

 66%|██████▌   | 33/50 [10:49<04:41, 16.59s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 33, "allocated_GiB": 24.191, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.962, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 33, "allocated_GiB": 24.201, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.266, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 34, "allocated_GiB": 24.116, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.848, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 34, "allocated_GiB": 24.191, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.524, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

 68%|██████▊   | 34/50 [11:06<04:27, 16.74s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 34, "allocated_GiB": 24.22, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.092, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 34, "allocated_GiB": 24.172, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.436, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 35, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.418, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

 70%|███████   | 35/50 [11:22<04:08, 16.56s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 35, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.443, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 35, "allocated_GiB": 24.21, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.993, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 35, "allocated_GiB": 24.153, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.638, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 36, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.409, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

 72%|███████▏  | 36/50 [11:39<03:52, 16.59s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 36, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.415, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 36, "allocated_GiB": 24.191, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.909, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 36, "allocated_GiB": 24.211, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.926, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 37, "allocated_GiB": 24.21, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.96, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

 74%|███████▍  | 37/50 [11:56<03:38, 16.81s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 37, "allocated_GiB": 24.21, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.24, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 37, "allocated_GiB": 24.23, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.41, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 37, "allocated_GiB": 24.249, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.281, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 38, "allocated_GiB": 24.135, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.141, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 38, "allocated_GiB": 24.116, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.549, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 38, "allocated_GiB": 24.172, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.904, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 39, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.332, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

 78%|███████▊  | 39/50 [12:29<03:03, 16.70s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 39, "allocated_GiB": 24.135, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.828, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 39, "allocated_GiB": 24.154, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.836, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 39, "allocated_GiB": 24.163, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.697, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 40, "allocated_GiB": 24.115, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.229, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 40, "allocated_GiB": 24.248, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.266, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 40, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.633, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 40, "allocated_GiB": 24.115, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.229, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

                                               
{'loss': '0.2486', 'grad_norm': '4.32', 'learning_rate': '2.482e-06', 'epoch': '0.001054'}

 80%|████████  | 40/50 [12:46<02:46, 16.66s/it][TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 40, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.633, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 40, "allocated_GiB": 24.248, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.266, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 40, "allocated_GiB": 24.182, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.35, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 41, "allocated_GiB": 24.181, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.654, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 41, "allocated_GiB": 24.173, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.602, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 41, "allocated_GiB": 24.201, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.736, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 42, "allocated_GiB": 24.249, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.369, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 42, "allocated_GiB": 24.238, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.27, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 42, "allocated_GiB": 24.238, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.804, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 43, "allocated_GiB": 24.182, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.225, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 43, "allocated_GiB": 24.201, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.294, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 43, "allocated_GiB": 24.144, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.404, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.35, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 44, "allocated_GiB": 24.181, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.766, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.124, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 45, "allocated_GiB": 24.193, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.819, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 45, "allocated_GiB": 24.182, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.964, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 45, "allocated_GiB": 24.191, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.085, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 45, "allocated_GiB": 24.143, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.374, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 46, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.888, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 46, "allocated_GiB": 24.219, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.409, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 47, "allocated_GiB": 24.172, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.605, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 47, "allocated_GiB": 24.201, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.327, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 47, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.339, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 48, "allocated_GiB": 24.192, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.713, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 48, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.283, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 48, "allocated_GiB": 24.23, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.055, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 49, "allocated_GiB": 24.191, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.704, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 49, "allocated_GiB": 24.154, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.878, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 49, "allocated_GiB": 24.173, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.665, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 50, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.489, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 50, "allocated_GiB": 24.182, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.967, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

100%|██████████| 50/50 [15:27<00:00, 16.08s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 50, "allocated_GiB": 24.2, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.234, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 50, "allocated_GiB": 24.2, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.414, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 50, "allocated_GiB": 24.2, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.234, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 50, "allocated_GiB": 24.2, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.414, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 50, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.489, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 50, "allocated_GiB": 24.182, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.967, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

                                               
{'loss': '0.2593', 'grad_norm': '10.26', 'learning_rate': '2.141e-08', 'epoch': '0.001317'}

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[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 50, "allocated_GiB": 22.889, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.489, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.967, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}

                                               
{'train_runtime': '992.4', 'train_samples_per_second': '3.225', 'train_steps_per_second': '0.05', 'train_loss': '0.3915', 'epoch': '0.001317'}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.414, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.234, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}

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[rank0]:[W918 03:39:19.016700735 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())