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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.
[2026-09-18 04:52:49,642] [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.
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 04:52:49,699] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2026-09-18 04:52:49,703] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2026-09-18 04:52:49,949] [INFO] [comm.py:658:init_distributed] cdb=None
[2026-09-18 04:52:50,014] [INFO] [comm.py:658:init_distributed] cdb=None
[2026-09-18 04:52:50,014] [INFO] [comm.py:658:init_distributed] cdb=None
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 04:52:50,337] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2026-09-18 04:52:50,651] [INFO] [comm.py:658:init_distributed] cdb=None
[2026-09-18 04:52:50,651] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
[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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 723/723 [00:00<00:00, 12694.64it/s]
Loading weights: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 723/723 [00:00<00:00, 11954.86it/s]
Loading weights: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 723/723 [00:00<00:00, 11289.79it/s]
Loading weights: 0%| | 0/723 [00:00<?, ?it/s] Loading weights: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 723/723 [00:00<00:00, 13327.13it/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
Formatting inputs...Skip in lazy mode
Formatting inputs...Skip in lazy mode
Formatting inputs...Skip in lazy mode
Total training samples: 2429620
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}.
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}.
NCCL version 2.26.2+cuda12.2
0%| | 0/30 [00:00<?, ?it/s][GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (6, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (5, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (3, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (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=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
with torch.cuda.amp.autocast(dtype=dtype):
3%|β–Ž | 1/30 [01:01<29:34, 61.21s/it][GeometryBatch] micro_batch=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
with torch.cuda.amp.autocast(dtype=dtype):
7%|β–‹ | 2/30 [01:17<16:09, 34.63s/it] 10%|β–ˆ | 3/30 [01:33<11:50, 26.30s/it] 13%|β–ˆβ–Ž | 4/30 [01:57<10:59, 25.37s/it] 17%|β–ˆβ–‹ | 5/30 [02:13<09:09, 21.99s/it] 20%|β–ˆβ–ˆ | 6/30 [02:30<08:04, 20.17s/it][GeometryBatch] micro_batch=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
with torch.cuda.amp.autocast(dtype=dtype):
23%|β–ˆβ–ˆβ–Ž | 7/30 [02:46<07:13, 18.86s/it][GeometryBatch] micro_batch=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
with torch.cuda.amp.autocast(dtype=dtype):
27%|β–ˆβ–ˆβ–‹ | 8/30 [03:11<07:35, 20.72s/it] 30%|β–ˆβ–ˆβ–ˆ | 9/30 [03:27<06:44, 19.25s/it] 33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:43<06:06, 18.34s/it] {'loss': '0.9696', 'grad_norm': '7.136', 'learning_rate': '1.647e-05', 'epoch': '0.0002634'}
33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:43<06:06, 18.34s/it] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 11/30 [04:00<05:39, 17.89s/it][TrainingProfile] step=11 wall_s=16.411 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
40%|β–ˆβ–ˆβ–ˆβ–ˆ | 12/30 [04:16<05:13, 17.41s/it][TrainingProfile] step=12 wall_s=16.327 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13/30 [04:32<04:49, 17.01s/it][TrainingProfile] step=13 wall_s=16.090 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 14/30 [04:47<04:20, 16.29s/it][TrainingProfile] step=14 wall_s=14.623 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 15/30 [05:03<04:03, 16.23s/it][TrainingProfile] step=15 wall_s=16.074 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 16/30 [05:19<03:47, 16.23s/it][TrainingProfile] step=16 wall_s=16.236 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 17/30 [05:35<03:29, 16.08s/it][TrainingProfile] step=17 wall_s=15.738 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 18/30 [05:50<03:11, 15.93s/it][TrainingProfile] step=18 wall_s=15.590 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/30 [06:06<02:53, 15.74s/it][TrainingProfile] step=19 wall_s=15.278 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [06:21<02:36, 15.62s/it][TrainingProfile] step=20 wall_s=15.338 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
{'loss': '0.2904', 'grad_norm': '4.807', 'learning_rate': '6.299e-06', 'epoch': '0.0005268'}
67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [06:21<02:36, 15.62s/it] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 21/30 [06:36<02:19, 15.50s/it][TrainingProfile] step=21 wall_s=15.213 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 22/30 [06:52<02:03, 15.42s/it][TrainingProfile] step=22 wall_s=15.245 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 23/30 [07:05<01:44, 14.99s/it][TrainingProfile] step=23 wall_s=13.981 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 24/30 [07:21<01:30, 15.09s/it][TrainingProfile] step=24 wall_s=15.331 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 25/30 [07:36<01:15, 15.17s/it][TrainingProfile] step=25 wall_s=15.338 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 26/30 [07:52<01:01, 15.31s/it][TrainingProfile] step=26 wall_s=15.628 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 27/30 [08:08<00:46, 15.51s/it][TrainingProfile] step=27 wall_s=15.985 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 28/30 [08:23<00:31, 15.52s/it][TrainingProfile] step=28 wall_s=15.552 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 29/30 [08:39<00:15, 15.49s/it][TrainingProfile] step=29 wall_s=15.421 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 30/30 [08:55<00:00, 15.60s/it][TrainingProfile] step=30 wall_s=15.838 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run2_bs8/profile_rank0.jsonl
{'loss': '0.2761', 'grad_norm': '7.463', 'learning_rate': '5.862e-08', 'epoch': '0.0007902'}
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 30/30 [08:55<00:00, 15.60s/it]
Writing model shards: 0%| | 0/1 [00:00<?, ?it/s]
Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:11<00:00, 11.15s/it] Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:11<00:00, 11.15s/it]
{'train_runtime': '597', 'train_samples_per_second': '3.216', 'train_steps_per_second': '0.05', 'train_loss': '0.5121', 'epoch': '0.0007902'}
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 30/30 [09:56<00:00, 15.60s/it] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 30/30 [09:56<00:00, 19.90s/it]
Writing model shards: 0%| | 0/1 [00:00<?, ?it/s] Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:10<00:00, 10.31s/it] Writing model shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:10<00:00, 10.31s/it]
[rank0]:[W918 05:05:27.919701460 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())