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debugging_optimized / speed_fixed_bs2 /train.log
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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 02:47:57,400] [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 02:47:57,440] [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 02:47:57,599] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2026-09-18 02:47:57,720] [INFO] [comm.py:658:init_distributed] cdb=None
Trainer._get_train_sampler replaced with custom implementation.
[2026-09-18 02:47:57,761] [INFO] [comm.py:658:init_distributed] cdb=None
[2026-09-18 02:47:57,761] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
[2026-09-18 02:47:57,797] [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 02:47:57,952] [INFO] [comm.py:658:init_distributed] cdb=None
[2026-09-18 02:47:58,104] [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, 12426.01it/s]
Loading weights: 0%| | 0/723 [00:00<?, ?it/s][TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
Loading weights: 100%|██████████| 723/723 [00:00<00:00, 13086.27it/s]
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
Loading weights: 0%| | 0/723 [00:00<?, ?it/s] Loading weights: 0%| | 0/723 [00:00<?, ?it/s] Loading weights: 100%|██████████| 723/723 [00:00<00:00, 11439.83it/s]
Loading weights: 100%|██████████| 723/723 [00:00<00:00, 10033.82it/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 {
"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'}]
>>>>> 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]
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 02:48:56] worker-1:2229341:2230076 [0] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
[2026-09-18 02:48:56] worker-1:2229343:2230081 [2] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
[2026-09-18 02:48:56] worker-1:2229344:2230077 [3] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
[2026-09-18 02:48:56] worker-1:2229342:2230078 [1] 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": 2, "accumulation": 8, "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": "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": 2, "accumulation": 8, "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": "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": 2, "accumulation": 8, "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}
[GeometryBatch] micro_batch=2, mode=per-sample VGGT fallback, input_shapes=[(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=2, mode=per-sample VGGT fallback, input_shapes=[(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=2, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (4, 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):
[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": 2, "accumulation": 8, "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=2, mode=per-sample VGGT fallback, input_shapes=[(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):
[GeometryBatch] micro_batch=2, mode=batched VGGT, input_shapes=[(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):
[GeometryBatch] micro_batch=2, mode=batched VGGT, input_shapes=[(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):
[GeometryBatch] micro_batch=2, mode=batched VGGT, input_shapes=[(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):
[GeometryBatch] micro_batch=2, mode=batched VGGT, input_shapes=[(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": 24.191, "reserved_GiB": 44.863, "peak_allocated_GiB": 34.459, "peak_reserved_GiB": 44.863, "device_free_GiB": 28.055, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 1, "allocated_GiB": 24.154, "reserved_GiB": 45.166, "peak_allocated_GiB": 34.362, "peak_reserved_GiB": 45.166, "device_free_GiB": 27.753, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 1, "allocated_GiB": 24.172, "reserved_GiB": 44.729, "peak_allocated_GiB": 34.4, "peak_reserved_GiB": 44.729, "device_free_GiB": 28.19, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 1, "allocated_GiB": 24.21, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.406, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.862, "device_total_GiB": 79.189}
2%|▏ | 1/50 [00:48<39:23, 48.24s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 2, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.053, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 2, "allocated_GiB": 24.162, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 2, "allocated_GiB": 24.135, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.394, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.751, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 2, "allocated_GiB": 24.2, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.862, "device_total_GiB": 79.189}
4%|▍ | 2/50 [01:03<23:05, 28.87s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 3, "allocated_GiB": 24.182, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.751, "device_total_GiB": 79.189}
6%|▌ | 3/50 [01:18<17:45, 22.67s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 3, "allocated_GiB": 24.239, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.486, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.862, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 3, "allocated_GiB": 24.229, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.548, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.053, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 3, "allocated_GiB": 24.2, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 4, "allocated_GiB": 24.191, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.86, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 4, "allocated_GiB": 24.125, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.384, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.751, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 4, "allocated_GiB": 24.173, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.452, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.188, "device_total_GiB": 79.189}
8%|▊ | 4/50 [01:41<17:30, 22.84s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 4, "allocated_GiB": 24.181, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.053, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 5, "allocated_GiB": 24.144, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.404, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.751, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 5, "allocated_GiB": 24.2, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.86, "device_total_GiB": 79.189}
10%|█ | 5/50 [01:57<15:02, 20.05s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 5, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.053, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 5, "allocated_GiB": 24.163, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 6, "allocated_GiB": 24.163, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.422, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.751, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 6, "allocated_GiB": 24.2, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.053, "device_total_GiB": 79.189}
12%|█▏ | 6/50 [02:12<13:26, 18.33s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 6, "allocated_GiB": 24.219, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.86, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 6, "allocated_GiB": 24.192, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.471, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 7, "allocated_GiB": 24.219, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.538, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.053, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 7, "allocated_GiB": 24.21, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 7, "allocated_GiB": 24.22, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.467, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.86, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 7, "allocated_GiB": 24.163, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.422, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.751, "device_total_GiB": 79.189}
14%|█▍ | 7/50 [02:27<12:22, 17.26s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 8, "allocated_GiB": 24.154, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.751, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 8, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 26.266, "device_total_GiB": 79.189}
16%|█▌ | 8/50 [02:42<11:36, 16.58s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 8, "allocated_GiB": 24.191, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.47, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 8, "allocated_GiB": 24.2, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.053, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 9, "allocated_GiB": 24.249, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.496, "peak_reserved_GiB": 46.652, "device_free_GiB": 26.266, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 9, "allocated_GiB": 24.182, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.751, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 9, "allocated_GiB": 24.229, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.548, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.053, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 9, "allocated_GiB": 24.219, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.499, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.188, "device_total_GiB": 79.189}
18%|█▊ | 9/50 [02:57<11:00, 16.11s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 10, "allocated_GiB": 24.2, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.188, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 10, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.053, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 10, "allocated_GiB": 24.229, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.475, "peak_reserved_GiB": 46.652, "device_free_GiB": 26.266, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 10, "allocated_GiB": 24.173, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.751, "device_total_GiB": 79.189}
20%|██ | 10/50 [03:12<10:33, 15.83s/it][TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 10, "allocated_GiB": 24.173, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 10, "allocated_GiB": 24.2, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
{'loss': '0.8345', 'grad_norm': '24.47', 'learning_rate': '1.897e-05', 'epoch': '0.0002634'}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 10, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
20%|██ | 10/50 [03:12<10:33, 15.83s/it][TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 10, "allocated_GiB": 24.229, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.475, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 11, "allocated_GiB": 24.153, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.472, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 11, "allocated_GiB": 24.106, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.366, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 11, "allocated_GiB": 24.181, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.428, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 11, "allocated_GiB": 24.144, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.423, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
22%|██▏ | 11/50 [03:28<10:19, 15.89s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 12, "allocated_GiB": 24.181, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 12, "allocated_GiB": 24.202, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 12, "allocated_GiB": 24.154, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
24%|██▍ | 12/50 [03:43<09:53, 15.62s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 12, "allocated_GiB": 24.2, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 13, "allocated_GiB": 24.191, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
26%|██▌ | 13/50 [04:01<10:03, 16.31s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 13, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 14, "allocated_GiB": 24.23, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
28%|██▊ | 14/50 [04:25<11:08, 18.58s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.576, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 14, "allocated_GiB": 24.248, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.527, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 15, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 15, "allocated_GiB": 24.125, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.384, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
30%|███ | 15/50 [04:40<10:12, 17.50s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 15, "allocated_GiB": 24.124, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.404, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 15, "allocated_GiB": 24.134, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.453, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 16, "allocated_GiB": 24.181, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 16, "allocated_GiB": 24.153, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
32%|███▏ | 16/50 [04:55<09:30, 16.77s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.192, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 16, "allocated_GiB": 24.154, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.433, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 17, "allocated_GiB": 24.144, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.403, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
34%|███▍ | 17/50 [05:10<08:57, 16.29s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 17, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 17, "allocated_GiB": 24.172, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 17, "allocated_GiB": 24.191, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 18, "allocated_GiB": 24.163, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 18, "allocated_GiB": 24.154, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.414, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 18, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
36%|███▌ | 18/50 [05:25<08:30, 15.97s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 18, "allocated_GiB": 24.182, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.501, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 19, "allocated_GiB": 24.135, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.395, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 19, "allocated_GiB": 24.181, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 19, "allocated_GiB": 24.162, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
38%|███▊ | 19/50 [05:40<08:05, 15.67s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 19, "allocated_GiB": 24.182, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.428, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 20, "allocated_GiB": 24.115, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.375, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
40%|████ | 20/50 [05:55<07:45, 15.51s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 20, "allocated_GiB": 24.135, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.414, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.453, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 20, "allocated_GiB": 24.202, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.453, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 20, "allocated_GiB": 24.135, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.414, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 20, "allocated_GiB": 24.115, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.375, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 20, "allocated_GiB": 24.202, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
{'loss': '0.3086', 'grad_norm': '7.328', 'learning_rate': '1.442e-05', 'epoch': '0.0005268'}
40%|████ | 20/50 [05:55<07:45, 15.51s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 21, "allocated_GiB": 24.163, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.716, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 21, "allocated_GiB": 24.144, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.403, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
42%|████▏ | 21/50 [06:10<07:24, 15.32s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 21, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 21, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 22, "allocated_GiB": 24.182, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 22, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
44%|████▍ | 22/50 [06:26<07:08, 15.32s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 22, "allocated_GiB": 24.229, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.548, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 22, "allocated_GiB": 24.181, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 23, "allocated_GiB": 24.182, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.576, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
46%|████▌ | 23/50 [06:41<06:51, 15.23s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.537, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 24, "allocated_GiB": 24.182, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.429, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 24, "allocated_GiB": 24.162, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.481, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 24, "allocated_GiB": 24.125, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.384, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
48%|████▊ | 24/50 [06:56<06:38, 15.33s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 24, "allocated_GiB": 24.134, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 25, "allocated_GiB": 24.257, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.576, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 25, "allocated_GiB": 24.182, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 25, "allocated_GiB": 24.229, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.475, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
50%|█████ | 25/50 [07:11<06:21, 15.28s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 25, "allocated_GiB": 24.21, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 26, "allocated_GiB": 24.163, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.422, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 26, "allocated_GiB": 24.182, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
52%|█████▏ | 26/50 [07:26<06:05, 15.23s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 26, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 26, "allocated_GiB": 24.238, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.485, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 27, "allocated_GiB": 24.163, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.422, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
54%|█████▍ | 27/50 [07:42<05:51, 15.27s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 27, "allocated_GiB": 24.181, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 27, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 27, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 28, "allocated_GiB": 24.229, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.548, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 28, "allocated_GiB": 24.172, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 28, "allocated_GiB": 24.219, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.499, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
56%|█████▌ | 28/50 [07:57<05:36, 15.30s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 28, "allocated_GiB": 24.238, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.485, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 29, "allocated_GiB": 24.163, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.423, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
58%|█████▊ | 29/50 [08:12<05:20, 15.28s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 29, "allocated_GiB": 24.172, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 29, "allocated_GiB": 24.202, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 29, "allocated_GiB": 24.181, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.499, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.538, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 30, "allocated_GiB": 24.191, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
60%|██████ | 30/50 [08:28<05:06, 15.32s/it][TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.538, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.499, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 30, "allocated_GiB": 24.191, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
{'loss': '0.2897', 'grad_norm': '5.924', 'learning_rate': '8.049e-06', 'epoch': '0.0007902'}
60%|██████ | 30/50 [08:28<05:06, 15.32s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 31, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 31, "allocated_GiB": 24.173, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 31, "allocated_GiB": 24.182, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
62%|██████▏ | 31/50 [08:43<04:50, 15.29s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 31, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 32, "allocated_GiB": 24.163, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 32, "allocated_GiB": 24.135, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.394, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
64%|██████▍ | 32/50 [08:58<04:35, 15.30s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 32, "allocated_GiB": 24.163, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.481, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 32, "allocated_GiB": 24.191, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 33, "allocated_GiB": 24.191, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.47, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 33, "allocated_GiB": 24.144, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.404, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 33, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
66%|██████▌ | 33/50 [09:13<04:18, 15.23s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 33, "allocated_GiB": 24.2, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 34, "allocated_GiB": 24.163, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.423, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
68%|██████▊ | 34/50 [09:29<04:04, 15.29s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 34, "allocated_GiB": 24.202, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 34, "allocated_GiB": 24.181, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 34, "allocated_GiB": 24.153, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 35, "allocated_GiB": 24.153, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 35, "allocated_GiB": 24.182, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 35, "allocated_GiB": 24.21, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
70%|███████ | 35/50 [09:44<03:48, 15.24s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 35, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 36, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 36, "allocated_GiB": 24.191, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.47, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 36, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 36, "allocated_GiB": 24.173, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
72%|███████▏ | 36/50 [09:59<03:33, 15.26s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 37, "allocated_GiB": 24.229, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.548, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 37, "allocated_GiB": 24.201, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.46, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
74%|███████▍ | 37/50 [10:15<03:19, 15.31s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 37, "allocated_GiB": 24.249, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.495, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 37, "allocated_GiB": 24.219, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.499, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 38, "allocated_GiB": 24.134, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 38, "allocated_GiB": 24.153, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.472, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 38, "allocated_GiB": 24.163, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.41, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 38, "allocated_GiB": 24.087, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.347, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
76%|███████▌ | 38/50 [10:30<03:02, 15.24s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 39, "allocated_GiB": 24.172, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.419, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 39, "allocated_GiB": 24.153, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.472, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 39, "allocated_GiB": 24.153, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 39, "allocated_GiB": 24.125, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.384, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
78%|███████▊ | 39/50 [10:45<02:47, 15.20s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 40, "allocated_GiB": 24.181, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 40, "allocated_GiB": 24.191, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 40, "allocated_GiB": 24.173, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.452, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 40, "allocated_GiB": 24.163, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.422, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
80%|████████ | 40/50 [11:00<02:31, 15.17s/it][TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 40, "allocated_GiB": 24.173, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.452, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 40, "allocated_GiB": 24.181, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 40, "allocated_GiB": 24.191, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 40, "allocated_GiB": 24.163, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.422, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
{'loss': '0.2453', 'grad_norm': '3.345', 'learning_rate': '2.482e-06', 'epoch': '0.001054'}
80%|████████ | 40/50 [11:00<02:31, 15.17s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 41, "allocated_GiB": 24.2, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 41, "allocated_GiB": 24.191, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.471, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 41, "allocated_GiB": 24.238, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.485, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 41, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
82%|████████▏ | 41/50 [11:15<02:16, 15.15s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 42, "allocated_GiB": 24.239, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.498, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 42, "allocated_GiB": 24.248, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.567, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 42, "allocated_GiB": 24.238, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.518, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
84%|████████▍ | 42/50 [11:30<02:00, 15.12s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 42, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 43, "allocated_GiB": 24.191, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 43, "allocated_GiB": 24.21, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 43, "allocated_GiB": 24.181, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 43, "allocated_GiB": 24.173, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
86%|████████▌ | 43/50 [11:45<01:46, 15.17s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 44, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
88%|████████▊ | 44/50 [12:00<01:30, 15.09s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.576, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.537, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 45, "allocated_GiB": 24.181, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 45, "allocated_GiB": 24.144, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.403, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 45, "allocated_GiB": 24.181, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
90%|█████████ | 45/50 [12:16<01:15, 15.13s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 45, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 46, "allocated_GiB": 24.219, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.538, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 46, "allocated_GiB": 24.2, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 46, "allocated_GiB": 24.173, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 46, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
92%|█████████▏| 46/50 [12:31<01:00, 15.12s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 47, "allocated_GiB": 24.21, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 47, "allocated_GiB": 24.2, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 47, "allocated_GiB": 24.173, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 47, "allocated_GiB": 24.181, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
94%|█████████▍| 47/50 [12:46<00:45, 15.13s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 48, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 48, "allocated_GiB": 24.21, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 48, "allocated_GiB": 24.21, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
96%|█████████▌| 48/50 [13:01<00:30, 15.17s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 48, "allocated_GiB": 24.238, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.485, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 49, "allocated_GiB": 24.173, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.491, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 49, "allocated_GiB": 24.153, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
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[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 49, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 50, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 50, "allocated_GiB": 24.21, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 50, "allocated_GiB": 24.201, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
100%|██████████| 50/50 [13:31<00:00, 15.12s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 50, "allocated_GiB": 24.201, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.52, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 50, "allocated_GiB": 24.21, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 50, "allocated_GiB": 24.201, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 50, "allocated_GiB": 24.201, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.52, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 50, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
{'loss': '0.257', 'grad_norm': '9.879', 'learning_rate': '2.141e-08', 'epoch': '0.001317'}
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[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
{'train_runtime': '869.2', 'train_samples_per_second': '3.681', 'train_steps_per_second': '0.058', 'train_loss': '0.387', 'epoch': '0.001317'}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.52, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
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[rank0]:[W918 03:04:19.641725930 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())