Download batch_profile.WrCi97/run4_bs4/train.log from phamquandung/debugging_optimized: direct link, hf CLI and curl.
- Browser
- Download file 31.5 kB
-
https://huggingface.co/datasets/phamquandung/debugging_optimized/resolve/main/batch_profile.WrCi97/run4_bs4/train.log
- Command line
-
hf download hf://datasets/phamquandung/debugging_optimized/batch_profile.WrCi97/run4_bs4/train.log
-
curl -L -o train.log https://huggingface.co/datasets/phamquandung/debugging_optimized/resolve/main/batch_profile.WrCi97/run4_bs4/train.log
31.5 kB
| [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. | |
| [2026-09-18 06:14:32,168] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect) | |
| Trainer._get_train_sampler replaced with custom implementation. | |
| Trainer._get_train_sampler replaced with custom implementation. | |
| Trainer._get_train_sampler replaced with custom implementation. | |
| warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. | |
| warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. | |
| warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. | |
| [2026-09-18 06:14:32,318] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect) | |
| [2026-09-18 06:14:32,319] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect) | |
| [2026-09-18 06:14:32,324] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect) | |
| [2026-09-18 06:14:32,574] [INFO] [comm.py:658:init_distributed] cdb=None | |
| [2026-09-18 06:14:32,574] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl | |
| [2026-09-18 06:14:32,681] [INFO] [comm.py:658:init_distributed] cdb=None | |
| [2026-09-18 06:14:32,681] [INFO] [comm.py:658:init_distributed] cdb=None | |
| [2026-09-18 06:14:32,682] [INFO] [comm.py:658:init_distributed] cdb=None | |
| [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled | |
| [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled | |
| [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: 0%| | 0/723 [00:00<?, ?it/s] Loading weights: 0%| | 0/723 [00:00<?, ?it/s] Loading weights: 100%|ββββββββββ| 723/723 [00:00<00:00, 12243.45it/s] | |
| Loading weights: 100%|ββββββββββ| 723/723 [00:00<00:00, 11938.81it/s] | |
| Loading weights: 100%|ββββββββββ| 723/723 [00:00<00:00, 11322.16it/s] | |
| Loading weights: 0%| | 0/723 [00:00<?, ?it/s] Loading weights: 100%|ββββββββββ| 723/723 [00:00<00:00, 11348.30it/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] | |
| 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] | |
| 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 | |
| [GeometryBatch] micro_batch=4, mode=per-sample VGGT fallback, input_shapes=[(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=4, mode=per-sample VGGT fallback, input_shapes=[(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): | |
| 0%| | 0/30 [00:00<?, ?it/s][GeometryBatch] micro_batch=4, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (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): | |
| [GeometryBatch] micro_batch=4, mode=per-sample VGGT fallback, input_shapes=[(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): | |
| [GeometryBatch] micro_batch=4, mode=batched VGGT, input_shapes=[(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): | |
| [GeometryBatch] micro_batch=4, mode=batched VGGT, input_shapes=[(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): | |
| [GeometryBatch] micro_batch=4, mode=batched VGGT, input_shapes=[(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): | |
| [GeometryBatch] micro_batch=4, mode=batched VGGT, input_shapes=[(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): | |
| 3%|β | 1/30 [00:50<24:35, 50.87s/it] 7%|β | 2/30 [01:05<13:44, 29.44s/it] 10%|β | 3/30 [01:20<10:18, 22.90s/it] 13%|ββ | 4/30 [01:44<10:04, 23.24s/it] 17%|ββ | 5/30 [01:58<08:22, 20.09s/it] 20%|ββ | 6/30 [02:13<07:18, 18.29s/it] 23%|βββ | 7/30 [02:27<06:31, 17.03s/it] 27%|βββ | 8/30 [02:43<06:04, 16.59s/it] 30%|βββ | 9/30 [02:57<05:31, 15.77s/it] 33%|ββββ | 10/30 [03:13<05:14, 15.71s/it] {'loss': '0.9617', 'grad_norm': '6.991', 'learning_rate': '1.647e-05', 'epoch': '0.0002634'} | |
| 33%|ββββ | 10/30 [03:13<05:14, 15.71s/it] 37%|ββββ | 11/30 [03:28<04:58, 15.70s/it][TrainingProfile] step=11 wall_s=14.908 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 40%|ββββ | 12/30 [03:43<04:38, 15.46s/it][TrainingProfile] step=12 wall_s=14.902 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 43%|βββββ | 13/30 [03:58<04:17, 15.15s/it][TrainingProfile] step=13 wall_s=14.433 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 47%|βββββ | 14/30 [04:12<03:57, 14.81s/it][TrainingProfile] step=14 wall_s=14.043 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 50%|βββββ | 15/30 [04:26<03:40, 14.72s/it][TrainingProfile] step=15 wall_s=14.492 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 53%|ββββββ | 16/30 [04:41<03:25, 14.65s/it][TrainingProfile] step=16 wall_s=14.506 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 57%|ββββββ | 17/30 [04:56<03:14, 14.95s/it][TrainingProfile] step=17 wall_s=15.648 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 60%|ββββββ | 18/30 [05:11<02:59, 14.92s/it][TrainingProfile] step=18 wall_s=14.844 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 63%|βββββββ | 19/30 [05:26<02:43, 14.85s/it][TrainingProfile] step=19 wall_s=14.681 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 67%|βββββββ | 20/30 [05:41<02:30, 15.01s/it][TrainingProfile] step=20 wall_s=15.388 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| {'loss': '0.2888', 'grad_norm': '4.741', 'learning_rate': '6.299e-06', 'epoch': '0.0005268'} | |
| 67%|βββββββ | 20/30 [05:41<02:30, 15.01s/it] 70%|βββββββ | 21/30 [05:56<02:14, 14.98s/it][TrainingProfile] step=21 wall_s=14.894 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 73%|ββββββββ | 22/30 [06:10<01:57, 14.68s/it][TrainingProfile] step=22 wall_s=13.983 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 77%|ββββββββ | 23/30 [06:24<01:41, 14.46s/it][TrainingProfile] step=23 wall_s=13.955 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 80%|ββββββββ | 24/30 [06:40<01:28, 14.81s/it][TrainingProfile] step=24 wall_s=15.623 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 83%|βββββββββ | 25/30 [06:54<01:12, 14.58s/it][TrainingProfile] step=25 wall_s=14.043 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 87%|βββββββββ | 26/30 [07:08<00:58, 14.59s/it][TrainingProfile] step=26 wall_s=14.605 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 90%|βββββββββ | 27/30 [07:23<00:44, 14.68s/it][TrainingProfile] step=27 wall_s=14.882 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 93%|ββββββββββ| 28/30 [07:38<00:29, 14.69s/it][TrainingProfile] step=28 wall_s=14.725 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 97%|ββββββββββ| 29/30 [07:53<00:14, 14.81s/it][TrainingProfile] step=29 wall_s=15.083 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| 100%|ββββββββββ| 30/30 [08:08<00:00, 14.77s/it][TrainingProfile] step=30 wall_s=14.666 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl | |
| {'loss': '0.2758', 'grad_norm': '7.461', 'learning_rate': '5.862e-08', 'epoch': '0.0007902'} | |
| 100%|ββββββββββ| 30/30 [08:08<00:00, 14.77s/it] | |
| Writing model shards: 0%| | 0/1 [00:00<?, ?it/s][A | |
| Writing model shards: 100%|ββββββββββ| 1/1 [00:10<00:00, 10.61s/it][A Writing model shards: 100%|ββββββββββ| 1/1 [00:10<00:00, 10.61s/it] | |
| {'train_runtime': '543.9', 'train_samples_per_second': '3.53', 'train_steps_per_second': '0.055', 'train_loss': '0.5088', 'epoch': '0.0007902'} | |
| 100%|ββββββββββ| 30/30 [09:03<00:00, 14.77s/it] 100%|ββββββββββ| 30/30 [09:03<00:00, 18.13s/it] | |
| Writing model shards: 0%| | 0/1 [00:00<?, ?it/s] Writing model shards: 100%|ββββββββββ| 1/1 [00:09<00:00, 9.82s/it] Writing model shards: 100%|ββββββββββ| 1/1 [00:09<00:00, 9.82s/it] | |
| [rank0]:[W918 06:26:05.204021960 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()) | |