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batch_profile.BDZIPD/comparison.txt
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batch_profile.BDZIPD/run1_bs4/train.log
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| 0 |
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)]
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| 1 |
3%|▎ | 1/30 [00:50<24:21, 50.38s/it]
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| 2 |
7%|▋ | 2/30 [01:04<13:39, 29.25s/it]
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| 3 |
10%|█ | 3/30 [01:19<10:15, 22.79s/it]
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| 4 |
13%|█▎ | 4/30 [01:43<10:02, 23.19s/it]
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| 5 |
17%|█▋ | 5/30 [01:58<08:20, 20.02s/it]
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| 6 |
20%|██ | 6/30 [02:12<07:17, 18.22s/it]
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| 7 |
23%|██▎ | 7/30 [02:27<06:30, 16.97s/it]
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| 8 |
27%|██▋ | 8/30 [02:42<06:03, 16.51s/it]
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| 9 |
30%|███ | 9/30 [02:56<05:29, 15.71s/it]
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| 10 |
33%|███▎ | 10/30 [03:12<05:12, 15.63s/it]
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| 11 |
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| 12 |
33%|███▎ | 10/30 [03:12<05:12, 15.63s/it]
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| 13 |
37%|███▋ | 11/30 [03:27<04:55, 15.57s/it][TrainingProfile] step=11 wall_s=15.048 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 14 |
40%|████ | 12/30 [03:42<04:37, 15.43s/it][TrainingProfile] step=12 wall_s=15.110 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 15 |
43%|████▎ | 13/30 [03:57<04:17, 15.13s/it][TrainingProfile] step=13 wall_s=14.432 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 16 |
47%|████▋ | 14/30 [04:11<03:56, 14.81s/it][TrainingProfile] step=14 wall_s=14.057 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 17 |
50%|█████ | 15/30 [04:25<03:41, 14.74s/it][TrainingProfile] step=15 wall_s=14.602 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 18 |
53%|█████▎ | 16/30 [04:40<03:25, 14.70s/it][TrainingProfile] step=16 wall_s=14.597 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 19 |
57%|█████▋ | 17/30 [04:55<03:13, 14.92s/it][TrainingProfile] step=17 wall_s=15.424 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 20 |
60%|██████ | 18/30 [05:10<02:58, 14.87s/it][TrainingProfile] step=18 wall_s=14.748 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 21 |
63%|██████▎ | 19/30 [05:25<02:43, 14.82s/it][TrainingProfile] step=19 wall_s=14.709 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 22 |
67%|██████▋ | 20/30 [05:40<02:29, 14.97s/it][TrainingProfile] step=20 wall_s=15.335 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 23 |
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| 24 |
67%|██████▋ | 20/30 [05:40<02:29, 14.97s/it]
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| 25 |
70%|███████ | 21/30 [05:55<02:14, 14.92s/it][TrainingProfile] step=21 wall_s=14.790 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 26 |
73%|███████▎ | 22/30 [06:09<01:56, 14.61s/it][TrainingProfile] step=22 wall_s=13.898 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 27 |
77%|███████▋ | 23/30 [06:22<01:40, 14.32s/it][TrainingProfile] step=23 wall_s=13.632 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 28 |
80%|████████ | 24/30 [06:38<01:28, 14.67s/it][TrainingProfile] step=24 wall_s=15.488 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 29 |
83%|████████▎ | 25/30 [06:52<01:12, 14.43s/it][TrainingProfile] step=25 wall_s=13.884 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
|
|
|
| 30 |
87%|████████▋ | 26/30 [07:06<00:57, 14.47s/it][TrainingProfile] step=26 wall_s=14.554 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 31 |
90%|█████████ | 27/30 [07:21<00:43, 14.46s/it][TrainingProfile] step=27 wall_s=14.446 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 32 |
93%|█████████▎| 28/30 [07:35<00:28, 14.47s/it][TrainingProfile] step=28 wall_s=14.488 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 33 |
97%|█████████▋| 29/30 [07:50<00:14, 14.62s/it][TrainingProfile] step=29 wall_s=14.969 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
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| 34 |
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| 35 |
|
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|
|
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|
|
|
| 1 |
+
[INFO] Running in WANDB offline mode
|
| 2 |
+
[INFO] Running in WANDB offline mode
|
| 3 |
+
[INFO] Running in WANDB offline mode
|
| 4 |
+
[INFO] Running in WANDB offline mode
|
| 5 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 6 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 7 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 8 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 9 |
+
[2026-09-18 04:41:03,806] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 10 |
+
[2026-09-18 04:41:03,821] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 11 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 12 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 13 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 14 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 15 |
+
[2026-09-18 04:41:04,050] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 16 |
+
[2026-09-18 04:41:04,085] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 17 |
+
[2026-09-18 04:41:04,124] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 18 |
+
[2026-09-18 04:41:04,124] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
|
| 19 |
+
[2026-09-18 04:41:04,171] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 20 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 21 |
+
[2026-09-18 04:41:04,375] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 22 |
+
[2026-09-18 04:41:04,451] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 23 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 31 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 32 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 33 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 34 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 35 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 36 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 37 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 38 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 39 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 40 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 41 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 42 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 43 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 44 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 45 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 46 |
+
Loading weights from local directory
|
| 47 |
+
Loading weights from local directory
|
| 48 |
+
Loading weights from local directory
|
| 49 |
+
Loading weights from local directory
|
| 50 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 51 |
+
Vision Module - Attention Blocks:
|
| 52 |
+
Trainable Block Indices: None
|
| 53 |
+
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]
|
| 54 |
+
Merger Module Trainable: True
|
| 55 |
+
LLM Module - Embed Tokens Trainable: True
|
| 56 |
+
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]
|
| 57 |
+
LLM Module - Non-Trainable Layer Indices: None
|
| 58 |
+
Qwen3_5Config {
|
| 59 |
+
"architectures": [
|
| 60 |
+
"Qwen3_5ForConditionalGeneration"
|
| 61 |
+
],
|
| 62 |
+
"dtype": "bfloat16",
|
| 63 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 64 |
+
"fusion_num_layers": 1,
|
| 65 |
+
"geometry_encoder_layers": [
|
| 66 |
+
11,
|
| 67 |
+
17,
|
| 68 |
+
23
|
| 69 |
+
],
|
| 70 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 71 |
+
"geometry_encoder_streaming": true,
|
| 72 |
+
"geometry_encoder_type": "vggt",
|
| 73 |
+
"geometry_frame_strict": true,
|
| 74 |
+
"geometry_fusion_layers": [
|
| 75 |
+
0,
|
| 76 |
+
1,
|
| 77 |
+
2
|
| 78 |
+
],
|
| 79 |
+
"geometry_fusion_scale": 0.5,
|
| 80 |
+
"geometry_importance_gate": true,
|
| 81 |
+
"geometry_learnable_scale": true,
|
| 82 |
+
"geometry_merger_type": "mlp",
|
| 83 |
+
"geometry_spatial_bias": false,
|
| 84 |
+
"image_token_id": 248056,
|
| 85 |
+
"include_camera_token": false,
|
| 86 |
+
"model_type": "qwen3_5",
|
| 87 |
+
"pos_encoding_type": "none",
|
| 88 |
+
"reference_frame": "first",
|
| 89 |
+
"supervised_token_loss": true,
|
| 90 |
+
"text_config": {
|
| 91 |
+
"attention_bias": false,
|
| 92 |
+
"attention_dropout": 0.0,
|
| 93 |
+
"attn_output_gate": true,
|
| 94 |
+
"bos_token_id": null,
|
| 95 |
+
"dtype": "bfloat16",
|
| 96 |
+
"eos_token_id": 248044,
|
| 97 |
+
"full_attention_interval": 4,
|
| 98 |
+
"head_dim": 256,
|
| 99 |
+
"hidden_act": "silu",
|
| 100 |
+
"hidden_size": 2560,
|
| 101 |
+
"initializer_range": 0.02,
|
| 102 |
+
"intermediate_size": 9216,
|
| 103 |
+
"layer_types": [
|
| 104 |
+
"linear_attention",
|
| 105 |
+
"linear_attention",
|
| 106 |
+
"linear_attention",
|
| 107 |
+
"full_attention",
|
| 108 |
+
"linear_attention",
|
| 109 |
+
"linear_attention",
|
| 110 |
+
"linear_attention",
|
| 111 |
+
"full_attention",
|
| 112 |
+
"linear_attention",
|
| 113 |
+
"linear_attention",
|
| 114 |
+
"linear_attention",
|
| 115 |
+
"full_attention",
|
| 116 |
+
"linear_attention",
|
| 117 |
+
"linear_attention",
|
| 118 |
+
"linear_attention",
|
| 119 |
+
"full_attention",
|
| 120 |
+
"linear_attention",
|
| 121 |
+
"linear_attention",
|
| 122 |
+
"linear_attention",
|
| 123 |
+
"full_attention",
|
| 124 |
+
"linear_attention",
|
| 125 |
+
"linear_attention",
|
| 126 |
+
"linear_attention",
|
| 127 |
+
"full_attention",
|
| 128 |
+
"linear_attention",
|
| 129 |
+
"linear_attention",
|
| 130 |
+
"linear_attention",
|
| 131 |
+
"full_attention",
|
| 132 |
+
"linear_attention",
|
| 133 |
+
"linear_attention",
|
| 134 |
+
"linear_attention",
|
| 135 |
+
"full_attention"
|
| 136 |
+
],
|
| 137 |
+
"linear_conv_kernel_dim": 4,
|
| 138 |
+
"linear_key_head_dim": 128,
|
| 139 |
+
"linear_num_key_heads": 16,
|
| 140 |
+
"linear_num_value_heads": 32,
|
| 141 |
+
"linear_value_head_dim": 128,
|
| 142 |
+
"mamba_ssm_dtype": "float32",
|
| 143 |
+
"max_position_embeddings": 262144,
|
| 144 |
+
"mlp_only_layers": [],
|
| 145 |
+
"model_type": "qwen3_5_text",
|
| 146 |
+
"mtp_num_hidden_layers": 1,
|
| 147 |
+
"mtp_use_dedicated_embeddings": false,
|
| 148 |
+
"num_attention_heads": 16,
|
| 149 |
+
"num_hidden_layers": 32,
|
| 150 |
+
"num_key_value_heads": 4,
|
| 151 |
+
"pad_token_id": null,
|
| 152 |
+
"partial_rotary_factor": 0.25,
|
| 153 |
+
"rms_norm_eps": 1e-06,
|
| 154 |
+
"rope_parameters": {
|
| 155 |
+
"mrope_interleaved": true,
|
| 156 |
+
"mrope_section": [
|
| 157 |
+
11,
|
| 158 |
+
11,
|
| 159 |
+
10
|
| 160 |
+
],
|
| 161 |
+
"partial_rotary_factor": 0.25,
|
| 162 |
+
"rope_theta": 10000000,
|
| 163 |
+
"rope_type": "default"
|
| 164 |
+
},
|
| 165 |
+
"tie_word_embeddings": true,
|
| 166 |
+
"use_cache": true,
|
| 167 |
+
"vocab_size": 248320
|
| 168 |
+
},
|
| 169 |
+
"tie_word_embeddings": true,
|
| 170 |
+
"transformers_version": "5.3.0",
|
| 171 |
+
"use_cache": false,
|
| 172 |
+
"use_geometry_encoder": true,
|
| 173 |
+
"video_token_id": 248057,
|
| 174 |
+
"vision_config": {
|
| 175 |
+
"deepstack_visual_indexes": [],
|
| 176 |
+
"depth": 24,
|
| 177 |
+
"dtype": "bfloat16",
|
| 178 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 179 |
+
"hidden_size": 1024,
|
| 180 |
+
"in_channels": 3,
|
| 181 |
+
"initializer_range": 0.02,
|
| 182 |
+
"intermediate_size": 4096,
|
| 183 |
+
"model_type": "qwen3_5",
|
| 184 |
+
"num_heads": 16,
|
| 185 |
+
"num_position_embeddings": 2304,
|
| 186 |
+
"out_hidden_size": 2560,
|
| 187 |
+
"patch_size": 16,
|
| 188 |
+
"spatial_merge_size": 2,
|
| 189 |
+
"temporal_patch_size": 2
|
| 190 |
+
},
|
| 191 |
+
"vision_end_token_id": 248054,
|
| 192 |
+
"vision_language_fusion_layers": null,
|
| 193 |
+
"vision_start_token_id": 248053
|
| 194 |
+
}
|
| 195 |
+
|
| 196 |
+
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'}]
|
| 197 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 198 |
+
Qwen3_5Config {
|
| 199 |
+
"architectures": [
|
| 200 |
+
"Qwen3_5ForConditionalGeneration"
|
| 201 |
+
],
|
| 202 |
+
"dtype": "bfloat16",
|
| 203 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 204 |
+
"fusion_num_layers": 1,
|
| 205 |
+
"geometry_encoder_layers": [
|
| 206 |
+
11,
|
| 207 |
+
17,
|
| 208 |
+
23
|
| 209 |
+
],
|
| 210 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 211 |
+
"geometry_encoder_streaming": true,
|
| 212 |
+
"geometry_encoder_type": "vggt",
|
| 213 |
+
"geometry_frame_strict": true,
|
| 214 |
+
"geometry_fusion_layers": [
|
| 215 |
+
0,
|
| 216 |
+
1,
|
| 217 |
+
2
|
| 218 |
+
],
|
| 219 |
+
"geometry_fusion_scale": 0.5,
|
| 220 |
+
"geometry_importance_gate": true,
|
| 221 |
+
"geometry_learnable_scale": true,
|
| 222 |
+
"geometry_merger_type": "mlp",
|
| 223 |
+
"geometry_spatial_bias": false,
|
| 224 |
+
"image_token_id": 248056,
|
| 225 |
+
"include_camera_token": false,
|
| 226 |
+
"model_type": "qwen3_5",
|
| 227 |
+
"pos_encoding_type": "none",
|
| 228 |
+
"reference_frame": "first",
|
| 229 |
+
"supervised_token_loss": true,
|
| 230 |
+
"text_config": {
|
| 231 |
+
"attention_bias": false,
|
| 232 |
+
"attention_dropout": 0.0,
|
| 233 |
+
"attn_output_gate": true,
|
| 234 |
+
"bos_token_id": null,
|
| 235 |
+
"dtype": "bfloat16",
|
| 236 |
+
"eos_token_id": 248044,
|
| 237 |
+
"full_attention_interval": 4,
|
| 238 |
+
"head_dim": 256,
|
| 239 |
+
"hidden_act": "silu",
|
| 240 |
+
"hidden_size": 2560,
|
| 241 |
+
"initializer_range": 0.02,
|
| 242 |
+
"intermediate_size": 9216,
|
| 243 |
+
"layer_types": [
|
| 244 |
+
"linear_attention",
|
| 245 |
+
"linear_attention",
|
| 246 |
+
"linear_attention",
|
| 247 |
+
"full_attention",
|
| 248 |
+
"linear_attention",
|
| 249 |
+
"linear_attention",
|
| 250 |
+
"linear_attention",
|
| 251 |
+
"full_attention",
|
| 252 |
+
"linear_attention",
|
| 253 |
+
"linear_attention",
|
| 254 |
+
"linear_attention",
|
| 255 |
+
"full_attention",
|
| 256 |
+
"linear_attention",
|
| 257 |
+
"linear_attention",
|
| 258 |
+
"linear_attention",
|
| 259 |
+
"full_attention",
|
| 260 |
+
"linear_attention",
|
| 261 |
+
"linear_attention",
|
| 262 |
+
"linear_attention",
|
| 263 |
+
"full_attention",
|
| 264 |
+
"linear_attention",
|
| 265 |
+
"linear_attention",
|
| 266 |
+
"linear_attention",
|
| 267 |
+
"full_attention",
|
| 268 |
+
"linear_attention",
|
| 269 |
+
"linear_attention",
|
| 270 |
+
"linear_attention",
|
| 271 |
+
"full_attention",
|
| 272 |
+
"linear_attention",
|
| 273 |
+
"linear_attention",
|
| 274 |
+
"linear_attention",
|
| 275 |
+
"full_attention"
|
| 276 |
+
],
|
| 277 |
+
"linear_conv_kernel_dim": 4,
|
| 278 |
+
"linear_key_head_dim": 128,
|
| 279 |
+
"linear_num_key_heads": 16,
|
| 280 |
+
"linear_num_value_heads": 32,
|
| 281 |
+
"linear_value_head_dim": 128,
|
| 282 |
+
"mamba_ssm_dtype": "float32",
|
| 283 |
+
"max_position_embeddings": 262144,
|
| 284 |
+
"mlp_only_layers": [],
|
| 285 |
+
"model_type": "qwen3_5_text",
|
| 286 |
+
"mtp_num_hidden_layers": 1,
|
| 287 |
+
"mtp_use_dedicated_embeddings": false,
|
| 288 |
+
"num_attention_heads": 16,
|
| 289 |
+
"num_hidden_layers": 32,
|
| 290 |
+
"num_key_value_heads": 4,
|
| 291 |
+
"pad_token_id": null,
|
| 292 |
+
"partial_rotary_factor": 0.25,
|
| 293 |
+
"rms_norm_eps": 1e-06,
|
| 294 |
+
"rope_parameters": {
|
| 295 |
+
"mrope_interleaved": true,
|
| 296 |
+
"mrope_section": [
|
| 297 |
+
11,
|
| 298 |
+
11,
|
| 299 |
+
10
|
| 300 |
+
],
|
| 301 |
+
"partial_rotary_factor": 0.25,
|
| 302 |
+
"rope_theta": 10000000,
|
| 303 |
+
"rope_type": "default"
|
| 304 |
+
},
|
| 305 |
+
"tie_word_embeddings": true,
|
| 306 |
+
"use_cache": true,
|
| 307 |
+
"vocab_size": 248320
|
| 308 |
+
},
|
| 309 |
+
"tie_word_embeddings": true,
|
| 310 |
+
"transformers_version": "5.3.0",
|
| 311 |
+
"use_cache": false,
|
| 312 |
+
"use_geometry_encoder": true,
|
| 313 |
+
"video_token_id": 248057,
|
| 314 |
+
"vision_config": {
|
| 315 |
+
"deepstack_visual_indexes": [],
|
| 316 |
+
"depth": 24,
|
| 317 |
+
"dtype": "bfloat16",
|
| 318 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 319 |
+
"hidden_size": 1024,
|
| 320 |
+
"in_channels": 3,
|
| 321 |
+
"initializer_range": 0.02,
|
| 322 |
+
"intermediate_size": 4096,
|
| 323 |
+
"model_type": "qwen3_5",
|
| 324 |
+
"num_heads": 16,
|
| 325 |
+
"num_position_embeddings": 2304,
|
| 326 |
+
"out_hidden_size": 2560,
|
| 327 |
+
"patch_size": 16,
|
| 328 |
+
"spatial_merge_size": 2,
|
| 329 |
+
"temporal_patch_size": 2
|
| 330 |
+
},
|
| 331 |
+
"vision_end_token_id": 248054,
|
| 332 |
+
"vision_language_fusion_layers": null,
|
| 333 |
+
"vision_start_token_id": 248053
|
| 334 |
+
}
|
| 335 |
+
|
| 336 |
+
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'}]
|
| 337 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 338 |
+
Qwen3_5Config {
|
| 339 |
+
"architectures": [
|
| 340 |
+
"Qwen3_5ForConditionalGeneration"
|
| 341 |
+
],
|
| 342 |
+
"dtype": "bfloat16",
|
| 343 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 344 |
+
"fusion_num_layers": 1,
|
| 345 |
+
"geometry_encoder_layers": [
|
| 346 |
+
11,
|
| 347 |
+
17,
|
| 348 |
+
23
|
| 349 |
+
],
|
| 350 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 351 |
+
"geometry_encoder_streaming": true,
|
| 352 |
+
"geometry_encoder_type": "vggt",
|
| 353 |
+
"geometry_frame_strict": true,
|
| 354 |
+
"geometry_fusion_layers": [
|
| 355 |
+
0,
|
| 356 |
+
1,
|
| 357 |
+
2
|
| 358 |
+
],
|
| 359 |
+
"geometry_fusion_scale": 0.5,
|
| 360 |
+
"geometry_importance_gate": true,
|
| 361 |
+
"geometry_learnable_scale": true,
|
| 362 |
+
"geometry_merger_type": "mlp",
|
| 363 |
+
"geometry_spatial_bias": false,
|
| 364 |
+
"image_token_id": 248056,
|
| 365 |
+
"include_camera_token": false,
|
| 366 |
+
"model_type": "qwen3_5",
|
| 367 |
+
"pos_encoding_type": "none",
|
| 368 |
+
"reference_frame": "first",
|
| 369 |
+
"supervised_token_loss": true,
|
| 370 |
+
"text_config": {
|
| 371 |
+
"attention_bias": false,
|
| 372 |
+
"attention_dropout": 0.0,
|
| 373 |
+
"attn_output_gate": true,
|
| 374 |
+
"bos_token_id": null,
|
| 375 |
+
"dtype": "bfloat16",
|
| 376 |
+
"eos_token_id": 248044,
|
| 377 |
+
"full_attention_interval": 4,
|
| 378 |
+
"head_dim": 256,
|
| 379 |
+
"hidden_act": "silu",
|
| 380 |
+
"hidden_size": 2560,
|
| 381 |
+
"initializer_range": 0.02,
|
| 382 |
+
"intermediate_size": 9216,
|
| 383 |
+
"layer_types": [
|
| 384 |
+
"linear_attention",
|
| 385 |
+
"linear_attention",
|
| 386 |
+
"linear_attention",
|
| 387 |
+
"full_attention",
|
| 388 |
+
"linear_attention",
|
| 389 |
+
"linear_attention",
|
| 390 |
+
"linear_attention",
|
| 391 |
+
"full_attention",
|
| 392 |
+
"linear_attention",
|
| 393 |
+
"linear_attention",
|
| 394 |
+
"linear_attention",
|
| 395 |
+
"full_attention",
|
| 396 |
+
"linear_attention",
|
| 397 |
+
"linear_attention",
|
| 398 |
+
"linear_attention",
|
| 399 |
+
"full_attention",
|
| 400 |
+
"linear_attention",
|
| 401 |
+
"linear_attention",
|
| 402 |
+
"linear_attention",
|
| 403 |
+
"full_attention",
|
| 404 |
+
"linear_attention",
|
| 405 |
+
"linear_attention",
|
| 406 |
+
"linear_attention",
|
| 407 |
+
"full_attention",
|
| 408 |
+
"linear_attention",
|
| 409 |
+
"linear_attention",
|
| 410 |
+
"linear_attention",
|
| 411 |
+
"full_attention",
|
| 412 |
+
"linear_attention",
|
| 413 |
+
"linear_attention",
|
| 414 |
+
"linear_attention",
|
| 415 |
+
"full_attention"
|
| 416 |
+
],
|
| 417 |
+
"linear_conv_kernel_dim": 4,
|
| 418 |
+
"linear_key_head_dim": 128,
|
| 419 |
+
"linear_num_key_heads": 16,
|
| 420 |
+
"linear_num_value_heads": 32,
|
| 421 |
+
"linear_value_head_dim": 128,
|
| 422 |
+
"mamba_ssm_dtype": "float32",
|
| 423 |
+
"max_position_embeddings": 262144,
|
| 424 |
+
"mlp_only_layers": [],
|
| 425 |
+
"model_type": "qwen3_5_text",
|
| 426 |
+
"mtp_num_hidden_layers": 1,
|
| 427 |
+
"mtp_use_dedicated_embeddings": false,
|
| 428 |
+
"num_attention_heads": 16,
|
| 429 |
+
"num_hidden_layers": 32,
|
| 430 |
+
"num_key_value_heads": 4,
|
| 431 |
+
"pad_token_id": null,
|
| 432 |
+
"partial_rotary_factor": 0.25,
|
| 433 |
+
"rms_norm_eps": 1e-06,
|
| 434 |
+
"rope_parameters": {
|
| 435 |
+
"mrope_interleaved": true,
|
| 436 |
+
"mrope_section": [
|
| 437 |
+
11,
|
| 438 |
+
11,
|
| 439 |
+
10
|
| 440 |
+
],
|
| 441 |
+
"partial_rotary_factor": 0.25,
|
| 442 |
+
"rope_theta": 10000000,
|
| 443 |
+
"rope_type": "default"
|
| 444 |
+
},
|
| 445 |
+
"tie_word_embeddings": true,
|
| 446 |
+
"use_cache": true,
|
| 447 |
+
"vocab_size": 248320
|
| 448 |
+
},
|
| 449 |
+
"tie_word_embeddings": true,
|
| 450 |
+
"transformers_version": "5.3.0",
|
| 451 |
+
"use_cache": false,
|
| 452 |
+
"use_geometry_encoder": true,
|
| 453 |
+
"video_token_id": 248057,
|
| 454 |
+
"vision_config": {
|
| 455 |
+
"deepstack_visual_indexes": [],
|
| 456 |
+
"depth": 24,
|
| 457 |
+
"dtype": "bfloat16",
|
| 458 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 459 |
+
"hidden_size": 1024,
|
| 460 |
+
"in_channels": 3,
|
| 461 |
+
"initializer_range": 0.02,
|
| 462 |
+
"intermediate_size": 4096,
|
| 463 |
+
"model_type": "qwen3_5",
|
| 464 |
+
"num_heads": 16,
|
| 465 |
+
"num_position_embeddings": 2304,
|
| 466 |
+
"out_hidden_size": 2560,
|
| 467 |
+
"patch_size": 16,
|
| 468 |
+
"spatial_merge_size": 2,
|
| 469 |
+
"temporal_patch_size": 2
|
| 470 |
+
},
|
| 471 |
+
"vision_end_token_id": 248054,
|
| 472 |
+
"vision_language_fusion_layers": null,
|
| 473 |
+
"vision_start_token_id": 248053
|
| 474 |
+
}
|
| 475 |
+
|
| 476 |
+
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'}]
|
| 477 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 478 |
+
Qwen3_5Config {
|
| 479 |
+
"architectures": [
|
| 480 |
+
"Qwen3_5ForConditionalGeneration"
|
| 481 |
+
],
|
| 482 |
+
"dtype": "bfloat16",
|
| 483 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 484 |
+
"fusion_num_layers": 1,
|
| 485 |
+
"geometry_encoder_layers": [
|
| 486 |
+
11,
|
| 487 |
+
17,
|
| 488 |
+
23
|
| 489 |
+
],
|
| 490 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 491 |
+
"geometry_encoder_streaming": true,
|
| 492 |
+
"geometry_encoder_type": "vggt",
|
| 493 |
+
"geometry_frame_strict": true,
|
| 494 |
+
"geometry_fusion_layers": [
|
| 495 |
+
0,
|
| 496 |
+
1,
|
| 497 |
+
2
|
| 498 |
+
],
|
| 499 |
+
"geometry_fusion_scale": 0.5,
|
| 500 |
+
"geometry_importance_gate": true,
|
| 501 |
+
"geometry_learnable_scale": true,
|
| 502 |
+
"geometry_merger_type": "mlp",
|
| 503 |
+
"geometry_spatial_bias": false,
|
| 504 |
+
"image_token_id": 248056,
|
| 505 |
+
"include_camera_token": false,
|
| 506 |
+
"model_type": "qwen3_5",
|
| 507 |
+
"pos_encoding_type": "none",
|
| 508 |
+
"reference_frame": "first",
|
| 509 |
+
"supervised_token_loss": true,
|
| 510 |
+
"text_config": {
|
| 511 |
+
"attention_bias": false,
|
| 512 |
+
"attention_dropout": 0.0,
|
| 513 |
+
"attn_output_gate": true,
|
| 514 |
+
"bos_token_id": null,
|
| 515 |
+
"dtype": "bfloat16",
|
| 516 |
+
"eos_token_id": 248044,
|
| 517 |
+
"full_attention_interval": 4,
|
| 518 |
+
"head_dim": 256,
|
| 519 |
+
"hidden_act": "silu",
|
| 520 |
+
"hidden_size": 2560,
|
| 521 |
+
"initializer_range": 0.02,
|
| 522 |
+
"intermediate_size": 9216,
|
| 523 |
+
"layer_types": [
|
| 524 |
+
"linear_attention",
|
| 525 |
+
"linear_attention",
|
| 526 |
+
"linear_attention",
|
| 527 |
+
"full_attention",
|
| 528 |
+
"linear_attention",
|
| 529 |
+
"linear_attention",
|
| 530 |
+
"linear_attention",
|
| 531 |
+
"full_attention",
|
| 532 |
+
"linear_attention",
|
| 533 |
+
"linear_attention",
|
| 534 |
+
"linear_attention",
|
| 535 |
+
"full_attention",
|
| 536 |
+
"linear_attention",
|
| 537 |
+
"linear_attention",
|
| 538 |
+
"linear_attention",
|
| 539 |
+
"full_attention",
|
| 540 |
+
"linear_attention",
|
| 541 |
+
"linear_attention",
|
| 542 |
+
"linear_attention",
|
| 543 |
+
"full_attention",
|
| 544 |
+
"linear_attention",
|
| 545 |
+
"linear_attention",
|
| 546 |
+
"linear_attention",
|
| 547 |
+
"full_attention",
|
| 548 |
+
"linear_attention",
|
| 549 |
+
"linear_attention",
|
| 550 |
+
"linear_attention",
|
| 551 |
+
"full_attention",
|
| 552 |
+
"linear_attention",
|
| 553 |
+
"linear_attention",
|
| 554 |
+
"linear_attention",
|
| 555 |
+
"full_attention"
|
| 556 |
+
],
|
| 557 |
+
"linear_conv_kernel_dim": 4,
|
| 558 |
+
"linear_key_head_dim": 128,
|
| 559 |
+
"linear_num_key_heads": 16,
|
| 560 |
+
"linear_num_value_heads": 32,
|
| 561 |
+
"linear_value_head_dim": 128,
|
| 562 |
+
"mamba_ssm_dtype": "float32",
|
| 563 |
+
"max_position_embeddings": 262144,
|
| 564 |
+
"mlp_only_layers": [],
|
| 565 |
+
"model_type": "qwen3_5_text",
|
| 566 |
+
"mtp_num_hidden_layers": 1,
|
| 567 |
+
"mtp_use_dedicated_embeddings": false,
|
| 568 |
+
"num_attention_heads": 16,
|
| 569 |
+
"num_hidden_layers": 32,
|
| 570 |
+
"num_key_value_heads": 4,
|
| 571 |
+
"pad_token_id": null,
|
| 572 |
+
"partial_rotary_factor": 0.25,
|
| 573 |
+
"rms_norm_eps": 1e-06,
|
| 574 |
+
"rope_parameters": {
|
| 575 |
+
"mrope_interleaved": true,
|
| 576 |
+
"mrope_section": [
|
| 577 |
+
11,
|
| 578 |
+
11,
|
| 579 |
+
10
|
| 580 |
+
],
|
| 581 |
+
"partial_rotary_factor": 0.25,
|
| 582 |
+
"rope_theta": 10000000,
|
| 583 |
+
"rope_type": "default"
|
| 584 |
+
},
|
| 585 |
+
"tie_word_embeddings": true,
|
| 586 |
+
"use_cache": true,
|
| 587 |
+
"vocab_size": 248320
|
| 588 |
+
},
|
| 589 |
+
"tie_word_embeddings": true,
|
| 590 |
+
"transformers_version": "5.3.0",
|
| 591 |
+
"use_cache": false,
|
| 592 |
+
"use_geometry_encoder": true,
|
| 593 |
+
"video_token_id": 248057,
|
| 594 |
+
"vision_config": {
|
| 595 |
+
"deepstack_visual_indexes": [],
|
| 596 |
+
"depth": 24,
|
| 597 |
+
"dtype": "bfloat16",
|
| 598 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 599 |
+
"hidden_size": 1024,
|
| 600 |
+
"in_channels": 3,
|
| 601 |
+
"initializer_range": 0.02,
|
| 602 |
+
"intermediate_size": 4096,
|
| 603 |
+
"model_type": "qwen3_5",
|
| 604 |
+
"num_heads": 16,
|
| 605 |
+
"num_position_embeddings": 2304,
|
| 606 |
+
"out_hidden_size": 2560,
|
| 607 |
+
"patch_size": 16,
|
| 608 |
+
"spatial_merge_size": 2,
|
| 609 |
+
"temporal_patch_size": 2
|
| 610 |
+
},
|
| 611 |
+
"vision_end_token_id": 248054,
|
| 612 |
+
"vision_language_fusion_layers": null,
|
| 613 |
+
"vision_start_token_id": 248053
|
| 614 |
+
}
|
| 615 |
+
|
| 616 |
+
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'}]
|
| 617 |
+
Total training samples: 2429620
|
| 618 |
+
Total training samples: 2429620
|
| 619 |
+
Total training samples: 2429620
|
| 620 |
+
Total training samples: 2429620
|
| 621 |
+
Formatting inputs...Skip in lazy mode
|
| 622 |
+
Formatting inputs...Skip in lazy mode
|
| 623 |
+
Formatting inputs...Skip in lazy mode
|
| 624 |
+
Formatting inputs...Skip in lazy mode
|
| 625 |
+
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}.
|
| 626 |
+
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}.
|
| 627 |
+
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}.
|
| 628 |
+
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}.
|
| 629 |
+
NCCL version 2.26.2+cuda12.2
|
| 630 |
+
[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)]
|
| 631 |
+
/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.
|
| 632 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 633 |
+
[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)]
|
| 634 |
+
/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.
|
| 635 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 636 |
+
|
| 637 |
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)]
|
| 638 |
+
/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.
|
| 639 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 640 |
+
[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)]
|
| 641 |
+
/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.
|
| 642 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 643 |
+
[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)]
|
| 644 |
+
/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.
|
| 645 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 646 |
+
[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)]
|
| 647 |
+
[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)]
|
| 648 |
+
/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.
|
| 649 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 650 |
+
/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.
|
| 651 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 652 |
+
[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)]
|
| 653 |
+
/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.
|
| 654 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 655 |
+
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3%|▎ | 1/30 [00:50<24:21, 50.38s/it]
|
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7%|▋ | 2/30 [01:04<13:39, 29.25s/it]
|
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10%|█ | 3/30 [01:19<10:15, 22.79s/it]
|
| 659 |
13%|█▎ | 4/30 [01:43<10:02, 23.19s/it]
|
| 660 |
17%|█▋ | 5/30 [01:58<08:20, 20.02s/it]
|
| 661 |
20%|██ | 6/30 [02:12<07:17, 18.22s/it]
|
| 662 |
23%|██▎ | 7/30 [02:27<06:30, 16.97s/it]
|
| 663 |
27%|██▋ | 8/30 [02:42<06:03, 16.51s/it]
|
| 664 |
30%|███ | 9/30 [02:56<05:29, 15.71s/it]
|
| 665 |
33%|███▎ | 10/30 [03:12<05:12, 15.63s/it]
|
| 666 |
|
| 667 |
+
|
| 668 |
33%|███▎ | 10/30 [03:12<05:12, 15.63s/it]
|
| 669 |
37%|███▋ | 11/30 [03:27<04:55, 15.57s/it][TrainingProfile] step=11 wall_s=15.048 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 670 |
+
|
| 671 |
40%|████ | 12/30 [03:42<04:37, 15.43s/it][TrainingProfile] step=12 wall_s=15.110 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 672 |
+
|
| 673 |
43%|████▎ | 13/30 [03:57<04:17, 15.13s/it][TrainingProfile] step=13 wall_s=14.432 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 674 |
+
|
| 675 |
47%|████▋ | 14/30 [04:11<03:56, 14.81s/it][TrainingProfile] step=14 wall_s=14.057 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 676 |
+
|
| 677 |
50%|█████ | 15/30 [04:25<03:41, 14.74s/it][TrainingProfile] step=15 wall_s=14.602 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 678 |
+
|
| 679 |
53%|█████▎ | 16/30 [04:40<03:25, 14.70s/it][TrainingProfile] step=16 wall_s=14.597 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 680 |
+
|
| 681 |
57%|█████▋ | 17/30 [04:55<03:13, 14.92s/it][TrainingProfile] step=17 wall_s=15.424 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 682 |
+
|
| 683 |
60%|██████ | 18/30 [05:10<02:58, 14.87s/it][TrainingProfile] step=18 wall_s=14.748 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 684 |
+
|
| 685 |
63%|██████▎ | 19/30 [05:25<02:43, 14.82s/it][TrainingProfile] step=19 wall_s=14.709 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 686 |
+
|
| 687 |
67%|██████▋ | 20/30 [05:40<02:29, 14.97s/it][TrainingProfile] step=20 wall_s=15.335 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 688 |
+
|
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|
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|
| 691 |
67%|██████▋ | 20/30 [05:40<02:29, 14.97s/it]
|
| 692 |
70%|███████ | 21/30 [05:55<02:14, 14.92s/it][TrainingProfile] step=21 wall_s=14.790 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 693 |
+
|
| 694 |
73%|███████▎ | 22/30 [06:09<01:56, 14.61s/it][TrainingProfile] step=22 wall_s=13.898 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 695 |
+
|
| 696 |
77%|███████▋ | 23/30 [06:22<01:40, 14.32s/it][TrainingProfile] step=23 wall_s=13.632 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 697 |
+
|
| 698 |
80%|████████ | 24/30 [06:38<01:28, 14.67s/it][TrainingProfile] step=24 wall_s=15.488 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 699 |
+
|
| 700 |
83%|████████▎ | 25/30 [06:52<01:12, 14.43s/it][TrainingProfile] step=25 wall_s=13.884 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 701 |
+
|
| 702 |
87%|████████▋ | 26/30 [07:06<00:57, 14.47s/it][TrainingProfile] step=26 wall_s=14.554 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 703 |
+
|
| 704 |
90%|█████████ | 27/30 [07:21<00:43, 14.46s/it][TrainingProfile] step=27 wall_s=14.446 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 705 |
+
|
| 706 |
93%|█████████▎| 28/30 [07:35<00:28, 14.47s/it][TrainingProfile] step=28 wall_s=14.488 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 707 |
+
|
| 708 |
97%|█████████▋| 29/30 [07:50<00:14, 14.62s/it][TrainingProfile] step=29 wall_s=14.969 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run1_bs4/profile_rank0.jsonl
|
| 709 |
+
|
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|
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|
| 713 |
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|
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+
|
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|
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| 717 |
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+
[rank0]:[W918 04:52:39.958392672 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())
|
batch_profile.BDZIPD/run2_bs8/train.log
ADDED
|
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| 0 |
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)]
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| 1 |
3%|▎ | 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)]
|
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| 2 |
7%|▋ | 2/30 [01:17<16:09, 34.63s/it]
|
| 3 |
10%|█ | 3/30 [01:33<11:50, 26.30s/it]
|
| 4 |
13%|█▎ | 4/30 [01:57<10:59, 25.37s/it]
|
| 5 |
17%|█▋ | 5/30 [02:13<09:09, 21.99s/it]
|
| 6 |
20%|██ | 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)]
|
|
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| 7 |
23%|██▎ | 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)]
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| 8 |
27%|██▋ | 8/30 [03:11<07:35, 20.72s/it]
|
| 9 |
30%|███ | 9/30 [03:27<06:44, 19.25s/it]
|
| 10 |
33%|███▎ | 10/30 [03:43<06:06, 18.34s/it]
|
| 11 |
|
|
|
|
| 12 |
33%|███▎ | 10/30 [03:43<06:06, 18.34s/it]
|
| 13 |
37%|███▋ | 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
|
|
|
|
| 14 |
40%|████ | 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
|
|
|
|
| 15 |
43%|████▎ | 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
|
|
|
|
| 16 |
47%|████▋ | 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
|
|
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|
| 17 |
50%|█████ | 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
|
|
|
|
| 18 |
53%|█████▎ | 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
|
|
|
|
| 19 |
57%|█████▋ | 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
|
|
|
|
| 20 |
60%|██████ | 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
|
|
|
|
| 21 |
63%|██████▎ | 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
|
|
|
|
| 22 |
67%|██████▋ | 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
|
|
|
|
| 23 |
|
|
|
|
| 24 |
67%|██████▋ | 20/30 [06:21<02:36, 15.62s/it]
|
| 25 |
70%|███████ | 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
|
|
|
|
| 26 |
73%|███████▎ | 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
|
|
|
|
| 27 |
77%|███████▋ | 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
|
|
|
|
| 28 |
80%|████████ | 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
|
|
|
|
| 29 |
83%|████████▎ | 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
|
|
|
|
| 30 |
87%|████████▋ | 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
|
|
|
|
| 31 |
90%|█████████ | 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
|
|
|
|
| 32 |
93%|█████████▎| 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
|
|
|
|
| 33 |
97%|█████████▋| 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
|
|
|
|
|
|
|
| 34 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[INFO] Running in WANDB offline mode
|
| 2 |
+
[INFO] Running in WANDB offline mode
|
| 3 |
+
[INFO] Running in WANDB offline mode
|
| 4 |
+
[INFO] Running in WANDB offline mode
|
| 5 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 6 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 7 |
+
[2026-09-18 04:52:49,642] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 8 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 9 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 10 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 11 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 12 |
+
[2026-09-18 04:52:49,699] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 13 |
+
[2026-09-18 04:52:49,703] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 14 |
+
[2026-09-18 04:52:49,949] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 15 |
+
[2026-09-18 04:52:50,014] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 16 |
+
[2026-09-18 04:52:50,014] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 17 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 18 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 19 |
+
[2026-09-18 04:52:50,337] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 20 |
+
[2026-09-18 04:52:50,651] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 21 |
+
[2026-09-18 04:52:50,651] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
|
| 22 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 23 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 24 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 25 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 31 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 32 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 33 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 34 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 35 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 36 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 37 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 38 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 39 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 40 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 41 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 42 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 43 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 44 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 45 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 46 |
+
Loading weights from local directory
|
| 47 |
+
Loading weights from local directory
|
| 48 |
+
Loading weights from local directory
|
| 49 |
+
Loading weights from local directory
|
| 50 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 51 |
+
Qwen3_5Config {
|
| 52 |
+
"architectures": [
|
| 53 |
+
"Qwen3_5ForConditionalGeneration"
|
| 54 |
+
],
|
| 55 |
+
"dtype": "bfloat16",
|
| 56 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 57 |
+
"fusion_num_layers": 1,
|
| 58 |
+
"geometry_encoder_layers": [
|
| 59 |
+
11,
|
| 60 |
+
17,
|
| 61 |
+
23
|
| 62 |
+
],
|
| 63 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 64 |
+
"geometry_encoder_streaming": true,
|
| 65 |
+
"geometry_encoder_type": "vggt",
|
| 66 |
+
"geometry_frame_strict": true,
|
| 67 |
+
"geometry_fusion_layers": [
|
| 68 |
+
0,
|
| 69 |
+
1,
|
| 70 |
+
2
|
| 71 |
+
],
|
| 72 |
+
"geometry_fusion_scale": 0.5,
|
| 73 |
+
"geometry_importance_gate": true,
|
| 74 |
+
"geometry_learnable_scale": true,
|
| 75 |
+
"geometry_merger_type": "mlp",
|
| 76 |
+
"geometry_spatial_bias": false,
|
| 77 |
+
"image_token_id": 248056,
|
| 78 |
+
"include_camera_token": false,
|
| 79 |
+
"model_type": "qwen3_5",
|
| 80 |
+
"pos_encoding_type": "none",
|
| 81 |
+
"reference_frame": "first",
|
| 82 |
+
"supervised_token_loss": true,
|
| 83 |
+
"text_config": {
|
| 84 |
+
"attention_bias": false,
|
| 85 |
+
"attention_dropout": 0.0,
|
| 86 |
+
"attn_output_gate": true,
|
| 87 |
+
"bos_token_id": null,
|
| 88 |
+
"dtype": "bfloat16",
|
| 89 |
+
"eos_token_id": 248044,
|
| 90 |
+
"full_attention_interval": 4,
|
| 91 |
+
"head_dim": 256,
|
| 92 |
+
"hidden_act": "silu",
|
| 93 |
+
"hidden_size": 2560,
|
| 94 |
+
"initializer_range": 0.02,
|
| 95 |
+
"intermediate_size": 9216,
|
| 96 |
+
"layer_types": [
|
| 97 |
+
"linear_attention",
|
| 98 |
+
"linear_attention",
|
| 99 |
+
"linear_attention",
|
| 100 |
+
"full_attention",
|
| 101 |
+
"linear_attention",
|
| 102 |
+
"linear_attention",
|
| 103 |
+
"linear_attention",
|
| 104 |
+
"full_attention",
|
| 105 |
+
"linear_attention",
|
| 106 |
+
"linear_attention",
|
| 107 |
+
"linear_attention",
|
| 108 |
+
"full_attention",
|
| 109 |
+
"linear_attention",
|
| 110 |
+
"linear_attention",
|
| 111 |
+
"linear_attention",
|
| 112 |
+
"full_attention",
|
| 113 |
+
"linear_attention",
|
| 114 |
+
"linear_attention",
|
| 115 |
+
"linear_attention",
|
| 116 |
+
"full_attention",
|
| 117 |
+
"linear_attention",
|
| 118 |
+
"linear_attention",
|
| 119 |
+
"linear_attention",
|
| 120 |
+
"full_attention",
|
| 121 |
+
"linear_attention",
|
| 122 |
+
"linear_attention",
|
| 123 |
+
"linear_attention",
|
| 124 |
+
"full_attention",
|
| 125 |
+
"linear_attention",
|
| 126 |
+
"linear_attention",
|
| 127 |
+
"linear_attention",
|
| 128 |
+
"full_attention"
|
| 129 |
+
],
|
| 130 |
+
"linear_conv_kernel_dim": 4,
|
| 131 |
+
"linear_key_head_dim": 128,
|
| 132 |
+
"linear_num_key_heads": 16,
|
| 133 |
+
"linear_num_value_heads": 32,
|
| 134 |
+
"linear_value_head_dim": 128,
|
| 135 |
+
"mamba_ssm_dtype": "float32",
|
| 136 |
+
"max_position_embeddings": 262144,
|
| 137 |
+
"mlp_only_layers": [],
|
| 138 |
+
"model_type": "qwen3_5_text",
|
| 139 |
+
"mtp_num_hidden_layers": 1,
|
| 140 |
+
"mtp_use_dedicated_embeddings": false,
|
| 141 |
+
"num_attention_heads": 16,
|
| 142 |
+
"num_hidden_layers": 32,
|
| 143 |
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"num_key_value_heads": 4,
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"pad_token_id": null,
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+
"partial_rotary_factor": 0.25,
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"rms_norm_eps": 1e-06,
|
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"rope_parameters": {
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+
"mrope_interleaved": true,
|
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+
"mrope_section": [
|
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+
11,
|
| 151 |
+
11,
|
| 152 |
+
10
|
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+
],
|
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+
"partial_rotary_factor": 0.25,
|
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+
"rope_theta": 10000000,
|
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+
"rope_type": "default"
|
| 157 |
+
},
|
| 158 |
+
"tie_word_embeddings": true,
|
| 159 |
+
"use_cache": true,
|
| 160 |
+
"vocab_size": 248320
|
| 161 |
+
},
|
| 162 |
+
"tie_word_embeddings": true,
|
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+
"transformers_version": "5.3.0",
|
| 164 |
+
"use_cache": false,
|
| 165 |
+
"use_geometry_encoder": true,
|
| 166 |
+
"video_token_id": 248057,
|
| 167 |
+
"vision_config": {
|
| 168 |
+
"deepstack_visual_indexes": [],
|
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+
"depth": 24,
|
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+
"dtype": "bfloat16",
|
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+
"hidden_act": "gelu_pytorch_tanh",
|
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+
"hidden_size": 1024,
|
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+
"in_channels": 3,
|
| 174 |
+
"initializer_range": 0.02,
|
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+
"intermediate_size": 4096,
|
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+
"model_type": "qwen3_5",
|
| 177 |
+
"num_heads": 16,
|
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+
"num_position_embeddings": 2304,
|
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+
"out_hidden_size": 2560,
|
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+
"patch_size": 16,
|
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+
"spatial_merge_size": 2,
|
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+
"temporal_patch_size": 2
|
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+
},
|
| 184 |
+
"vision_end_token_id": 248054,
|
| 185 |
+
"vision_language_fusion_layers": null,
|
| 186 |
+
"vision_start_token_id": 248053
|
| 187 |
+
}
|
| 188 |
+
|
| 189 |
+
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'}]
|
| 190 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 191 |
+
Vision Module - Attention Blocks:
|
| 192 |
+
Trainable Block Indices: None
|
| 193 |
+
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]
|
| 194 |
+
Merger Module Trainable: True
|
| 195 |
+
LLM Module - Embed Tokens Trainable: True
|
| 196 |
+
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]
|
| 197 |
+
LLM Module - Non-Trainable Layer Indices: None
|
| 198 |
+
Qwen3_5Config {
|
| 199 |
+
"architectures": [
|
| 200 |
+
"Qwen3_5ForConditionalGeneration"
|
| 201 |
+
],
|
| 202 |
+
"dtype": "bfloat16",
|
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+
"feature_fusion_method": "deepstack_language_add",
|
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+
"fusion_num_layers": 1,
|
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+
"geometry_encoder_layers": [
|
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+
11,
|
| 207 |
+
17,
|
| 208 |
+
23
|
| 209 |
+
],
|
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+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 211 |
+
"geometry_encoder_streaming": true,
|
| 212 |
+
"geometry_encoder_type": "vggt",
|
| 213 |
+
"geometry_frame_strict": true,
|
| 214 |
+
"geometry_fusion_layers": [
|
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+
0,
|
| 216 |
+
1,
|
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+
2
|
| 218 |
+
],
|
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+
"geometry_fusion_scale": 0.5,
|
| 220 |
+
"geometry_importance_gate": true,
|
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+
"geometry_learnable_scale": true,
|
| 222 |
+
"geometry_merger_type": "mlp",
|
| 223 |
+
"geometry_spatial_bias": false,
|
| 224 |
+
"image_token_id": 248056,
|
| 225 |
+
"include_camera_token": false,
|
| 226 |
+
"model_type": "qwen3_5",
|
| 227 |
+
"pos_encoding_type": "none",
|
| 228 |
+
"reference_frame": "first",
|
| 229 |
+
"supervised_token_loss": true,
|
| 230 |
+
"text_config": {
|
| 231 |
+
"attention_bias": false,
|
| 232 |
+
"attention_dropout": 0.0,
|
| 233 |
+
"attn_output_gate": true,
|
| 234 |
+
"bos_token_id": null,
|
| 235 |
+
"dtype": "bfloat16",
|
| 236 |
+
"eos_token_id": 248044,
|
| 237 |
+
"full_attention_interval": 4,
|
| 238 |
+
"head_dim": 256,
|
| 239 |
+
"hidden_act": "silu",
|
| 240 |
+
"hidden_size": 2560,
|
| 241 |
+
"initializer_range": 0.02,
|
| 242 |
+
"intermediate_size": 9216,
|
| 243 |
+
"layer_types": [
|
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+
"linear_attention",
|
| 245 |
+
"linear_attention",
|
| 246 |
+
"linear_attention",
|
| 247 |
+
"full_attention",
|
| 248 |
+
"linear_attention",
|
| 249 |
+
"linear_attention",
|
| 250 |
+
"linear_attention",
|
| 251 |
+
"full_attention",
|
| 252 |
+
"linear_attention",
|
| 253 |
+
"linear_attention",
|
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+
"linear_attention",
|
| 255 |
+
"full_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"full_attention",
|
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+
"linear_attention",
|
| 261 |
+
"linear_attention",
|
| 262 |
+
"linear_attention",
|
| 263 |
+
"full_attention",
|
| 264 |
+
"linear_attention",
|
| 265 |
+
"linear_attention",
|
| 266 |
+
"linear_attention",
|
| 267 |
+
"full_attention",
|
| 268 |
+
"linear_attention",
|
| 269 |
+
"linear_attention",
|
| 270 |
+
"linear_attention",
|
| 271 |
+
"full_attention",
|
| 272 |
+
"linear_attention",
|
| 273 |
+
"linear_attention",
|
| 274 |
+
"linear_attention",
|
| 275 |
+
"full_attention"
|
| 276 |
+
],
|
| 277 |
+
"linear_conv_kernel_dim": 4,
|
| 278 |
+
"linear_key_head_dim": 128,
|
| 279 |
+
"linear_num_key_heads": 16,
|
| 280 |
+
"linear_num_value_heads": 32,
|
| 281 |
+
"linear_value_head_dim": 128,
|
| 282 |
+
"mamba_ssm_dtype": "float32",
|
| 283 |
+
"max_position_embeddings": 262144,
|
| 284 |
+
"mlp_only_layers": [],
|
| 285 |
+
"model_type": "qwen3_5_text",
|
| 286 |
+
"mtp_num_hidden_layers": 1,
|
| 287 |
+
"mtp_use_dedicated_embeddings": false,
|
| 288 |
+
"num_attention_heads": 16,
|
| 289 |
+
"num_hidden_layers": 32,
|
| 290 |
+
"num_key_value_heads": 4,
|
| 291 |
+
"pad_token_id": null,
|
| 292 |
+
"partial_rotary_factor": 0.25,
|
| 293 |
+
"rms_norm_eps": 1e-06,
|
| 294 |
+
"rope_parameters": {
|
| 295 |
+
"mrope_interleaved": true,
|
| 296 |
+
"mrope_section": [
|
| 297 |
+
11,
|
| 298 |
+
11,
|
| 299 |
+
10
|
| 300 |
+
],
|
| 301 |
+
"partial_rotary_factor": 0.25,
|
| 302 |
+
"rope_theta": 10000000,
|
| 303 |
+
"rope_type": "default"
|
| 304 |
+
},
|
| 305 |
+
"tie_word_embeddings": true,
|
| 306 |
+
"use_cache": true,
|
| 307 |
+
"vocab_size": 248320
|
| 308 |
+
},
|
| 309 |
+
"tie_word_embeddings": true,
|
| 310 |
+
"transformers_version": "5.3.0",
|
| 311 |
+
"use_cache": false,
|
| 312 |
+
"use_geometry_encoder": true,
|
| 313 |
+
"video_token_id": 248057,
|
| 314 |
+
"vision_config": {
|
| 315 |
+
"deepstack_visual_indexes": [],
|
| 316 |
+
"depth": 24,
|
| 317 |
+
"dtype": "bfloat16",
|
| 318 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 319 |
+
"hidden_size": 1024,
|
| 320 |
+
"in_channels": 3,
|
| 321 |
+
"initializer_range": 0.02,
|
| 322 |
+
"intermediate_size": 4096,
|
| 323 |
+
"model_type": "qwen3_5",
|
| 324 |
+
"num_heads": 16,
|
| 325 |
+
"num_position_embeddings": 2304,
|
| 326 |
+
"out_hidden_size": 2560,
|
| 327 |
+
"patch_size": 16,
|
| 328 |
+
"spatial_merge_size": 2,
|
| 329 |
+
"temporal_patch_size": 2
|
| 330 |
+
},
|
| 331 |
+
"vision_end_token_id": 248054,
|
| 332 |
+
"vision_language_fusion_layers": null,
|
| 333 |
+
"vision_start_token_id": 248053
|
| 334 |
+
}
|
| 335 |
+
|
| 336 |
+
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'}]
|
| 337 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 338 |
+
Qwen3_5Config {
|
| 339 |
+
"architectures": [
|
| 340 |
+
"Qwen3_5ForConditionalGeneration"
|
| 341 |
+
],
|
| 342 |
+
"dtype": "bfloat16",
|
| 343 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 344 |
+
"fusion_num_layers": 1,
|
| 345 |
+
"geometry_encoder_layers": [
|
| 346 |
+
11,
|
| 347 |
+
17,
|
| 348 |
+
23
|
| 349 |
+
],
|
| 350 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 351 |
+
"geometry_encoder_streaming": true,
|
| 352 |
+
"geometry_encoder_type": "vggt",
|
| 353 |
+
"geometry_frame_strict": true,
|
| 354 |
+
"geometry_fusion_layers": [
|
| 355 |
+
0,
|
| 356 |
+
1,
|
| 357 |
+
2
|
| 358 |
+
],
|
| 359 |
+
"geometry_fusion_scale": 0.5,
|
| 360 |
+
"geometry_importance_gate": true,
|
| 361 |
+
"geometry_learnable_scale": true,
|
| 362 |
+
"geometry_merger_type": "mlp",
|
| 363 |
+
"geometry_spatial_bias": false,
|
| 364 |
+
"image_token_id": 248056,
|
| 365 |
+
"include_camera_token": false,
|
| 366 |
+
"model_type": "qwen3_5",
|
| 367 |
+
"pos_encoding_type": "none",
|
| 368 |
+
"reference_frame": "first",
|
| 369 |
+
"supervised_token_loss": true,
|
| 370 |
+
"text_config": {
|
| 371 |
+
"attention_bias": false,
|
| 372 |
+
"attention_dropout": 0.0,
|
| 373 |
+
"attn_output_gate": true,
|
| 374 |
+
"bos_token_id": null,
|
| 375 |
+
"dtype": "bfloat16",
|
| 376 |
+
"eos_token_id": 248044,
|
| 377 |
+
"full_attention_interval": 4,
|
| 378 |
+
"head_dim": 256,
|
| 379 |
+
"hidden_act": "silu",
|
| 380 |
+
"hidden_size": 2560,
|
| 381 |
+
"initializer_range": 0.02,
|
| 382 |
+
"intermediate_size": 9216,
|
| 383 |
+
"layer_types": [
|
| 384 |
+
"linear_attention",
|
| 385 |
+
"linear_attention",
|
| 386 |
+
"linear_attention",
|
| 387 |
+
"full_attention",
|
| 388 |
+
"linear_attention",
|
| 389 |
+
"linear_attention",
|
| 390 |
+
"linear_attention",
|
| 391 |
+
"full_attention",
|
| 392 |
+
"linear_attention",
|
| 393 |
+
"linear_attention",
|
| 394 |
+
"linear_attention",
|
| 395 |
+
"full_attention",
|
| 396 |
+
"linear_attention",
|
| 397 |
+
"linear_attention",
|
| 398 |
+
"linear_attention",
|
| 399 |
+
"full_attention",
|
| 400 |
+
"linear_attention",
|
| 401 |
+
"linear_attention",
|
| 402 |
+
"linear_attention",
|
| 403 |
+
"full_attention",
|
| 404 |
+
"linear_attention",
|
| 405 |
+
"linear_attention",
|
| 406 |
+
"linear_attention",
|
| 407 |
+
"full_attention",
|
| 408 |
+
"linear_attention",
|
| 409 |
+
"linear_attention",
|
| 410 |
+
"linear_attention",
|
| 411 |
+
"full_attention",
|
| 412 |
+
"linear_attention",
|
| 413 |
+
"linear_attention",
|
| 414 |
+
"linear_attention",
|
| 415 |
+
"full_attention"
|
| 416 |
+
],
|
| 417 |
+
"linear_conv_kernel_dim": 4,
|
| 418 |
+
"linear_key_head_dim": 128,
|
| 419 |
+
"linear_num_key_heads": 16,
|
| 420 |
+
"linear_num_value_heads": 32,
|
| 421 |
+
"linear_value_head_dim": 128,
|
| 422 |
+
"mamba_ssm_dtype": "float32",
|
| 423 |
+
"max_position_embeddings": 262144,
|
| 424 |
+
"mlp_only_layers": [],
|
| 425 |
+
"model_type": "qwen3_5_text",
|
| 426 |
+
"mtp_num_hidden_layers": 1,
|
| 427 |
+
"mtp_use_dedicated_embeddings": false,
|
| 428 |
+
"num_attention_heads": 16,
|
| 429 |
+
"num_hidden_layers": 32,
|
| 430 |
+
"num_key_value_heads": 4,
|
| 431 |
+
"pad_token_id": null,
|
| 432 |
+
"partial_rotary_factor": 0.25,
|
| 433 |
+
"rms_norm_eps": 1e-06,
|
| 434 |
+
"rope_parameters": {
|
| 435 |
+
"mrope_interleaved": true,
|
| 436 |
+
"mrope_section": [
|
| 437 |
+
11,
|
| 438 |
+
11,
|
| 439 |
+
10
|
| 440 |
+
],
|
| 441 |
+
"partial_rotary_factor": 0.25,
|
| 442 |
+
"rope_theta": 10000000,
|
| 443 |
+
"rope_type": "default"
|
| 444 |
+
},
|
| 445 |
+
"tie_word_embeddings": true,
|
| 446 |
+
"use_cache": true,
|
| 447 |
+
"vocab_size": 248320
|
| 448 |
+
},
|
| 449 |
+
"tie_word_embeddings": true,
|
| 450 |
+
"transformers_version": "5.3.0",
|
| 451 |
+
"use_cache": false,
|
| 452 |
+
"use_geometry_encoder": true,
|
| 453 |
+
"video_token_id": 248057,
|
| 454 |
+
"vision_config": {
|
| 455 |
+
"deepstack_visual_indexes": [],
|
| 456 |
+
"depth": 24,
|
| 457 |
+
"dtype": "bfloat16",
|
| 458 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 459 |
+
"hidden_size": 1024,
|
| 460 |
+
"in_channels": 3,
|
| 461 |
+
"initializer_range": 0.02,
|
| 462 |
+
"intermediate_size": 4096,
|
| 463 |
+
"model_type": "qwen3_5",
|
| 464 |
+
"num_heads": 16,
|
| 465 |
+
"num_position_embeddings": 2304,
|
| 466 |
+
"out_hidden_size": 2560,
|
| 467 |
+
"patch_size": 16,
|
| 468 |
+
"spatial_merge_size": 2,
|
| 469 |
+
"temporal_patch_size": 2
|
| 470 |
+
},
|
| 471 |
+
"vision_end_token_id": 248054,
|
| 472 |
+
"vision_language_fusion_layers": null,
|
| 473 |
+
"vision_start_token_id": 248053
|
| 474 |
+
}
|
| 475 |
+
|
| 476 |
+
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'}]
|
| 477 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 478 |
+
Qwen3_5Config {
|
| 479 |
+
"architectures": [
|
| 480 |
+
"Qwen3_5ForConditionalGeneration"
|
| 481 |
+
],
|
| 482 |
+
"dtype": "bfloat16",
|
| 483 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 484 |
+
"fusion_num_layers": 1,
|
| 485 |
+
"geometry_encoder_layers": [
|
| 486 |
+
11,
|
| 487 |
+
17,
|
| 488 |
+
23
|
| 489 |
+
],
|
| 490 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 491 |
+
"geometry_encoder_streaming": true,
|
| 492 |
+
"geometry_encoder_type": "vggt",
|
| 493 |
+
"geometry_frame_strict": true,
|
| 494 |
+
"geometry_fusion_layers": [
|
| 495 |
+
0,
|
| 496 |
+
1,
|
| 497 |
+
2
|
| 498 |
+
],
|
| 499 |
+
"geometry_fusion_scale": 0.5,
|
| 500 |
+
"geometry_importance_gate": true,
|
| 501 |
+
"geometry_learnable_scale": true,
|
| 502 |
+
"geometry_merger_type": "mlp",
|
| 503 |
+
"geometry_spatial_bias": false,
|
| 504 |
+
"image_token_id": 248056,
|
| 505 |
+
"include_camera_token": false,
|
| 506 |
+
"model_type": "qwen3_5",
|
| 507 |
+
"pos_encoding_type": "none",
|
| 508 |
+
"reference_frame": "first",
|
| 509 |
+
"supervised_token_loss": true,
|
| 510 |
+
"text_config": {
|
| 511 |
+
"attention_bias": false,
|
| 512 |
+
"attention_dropout": 0.0,
|
| 513 |
+
"attn_output_gate": true,
|
| 514 |
+
"bos_token_id": null,
|
| 515 |
+
"dtype": "bfloat16",
|
| 516 |
+
"eos_token_id": 248044,
|
| 517 |
+
"full_attention_interval": 4,
|
| 518 |
+
"head_dim": 256,
|
| 519 |
+
"hidden_act": "silu",
|
| 520 |
+
"hidden_size": 2560,
|
| 521 |
+
"initializer_range": 0.02,
|
| 522 |
+
"intermediate_size": 9216,
|
| 523 |
+
"layer_types": [
|
| 524 |
+
"linear_attention",
|
| 525 |
+
"linear_attention",
|
| 526 |
+
"linear_attention",
|
| 527 |
+
"full_attention",
|
| 528 |
+
"linear_attention",
|
| 529 |
+
"linear_attention",
|
| 530 |
+
"linear_attention",
|
| 531 |
+
"full_attention",
|
| 532 |
+
"linear_attention",
|
| 533 |
+
"linear_attention",
|
| 534 |
+
"linear_attention",
|
| 535 |
+
"full_attention",
|
| 536 |
+
"linear_attention",
|
| 537 |
+
"linear_attention",
|
| 538 |
+
"linear_attention",
|
| 539 |
+
"full_attention",
|
| 540 |
+
"linear_attention",
|
| 541 |
+
"linear_attention",
|
| 542 |
+
"linear_attention",
|
| 543 |
+
"full_attention",
|
| 544 |
+
"linear_attention",
|
| 545 |
+
"linear_attention",
|
| 546 |
+
"linear_attention",
|
| 547 |
+
"full_attention",
|
| 548 |
+
"linear_attention",
|
| 549 |
+
"linear_attention",
|
| 550 |
+
"linear_attention",
|
| 551 |
+
"full_attention",
|
| 552 |
+
"linear_attention",
|
| 553 |
+
"linear_attention",
|
| 554 |
+
"linear_attention",
|
| 555 |
+
"full_attention"
|
| 556 |
+
],
|
| 557 |
+
"linear_conv_kernel_dim": 4,
|
| 558 |
+
"linear_key_head_dim": 128,
|
| 559 |
+
"linear_num_key_heads": 16,
|
| 560 |
+
"linear_num_value_heads": 32,
|
| 561 |
+
"linear_value_head_dim": 128,
|
| 562 |
+
"mamba_ssm_dtype": "float32",
|
| 563 |
+
"max_position_embeddings": 262144,
|
| 564 |
+
"mlp_only_layers": [],
|
| 565 |
+
"model_type": "qwen3_5_text",
|
| 566 |
+
"mtp_num_hidden_layers": 1,
|
| 567 |
+
"mtp_use_dedicated_embeddings": false,
|
| 568 |
+
"num_attention_heads": 16,
|
| 569 |
+
"num_hidden_layers": 32,
|
| 570 |
+
"num_key_value_heads": 4,
|
| 571 |
+
"pad_token_id": null,
|
| 572 |
+
"partial_rotary_factor": 0.25,
|
| 573 |
+
"rms_norm_eps": 1e-06,
|
| 574 |
+
"rope_parameters": {
|
| 575 |
+
"mrope_interleaved": true,
|
| 576 |
+
"mrope_section": [
|
| 577 |
+
11,
|
| 578 |
+
11,
|
| 579 |
+
10
|
| 580 |
+
],
|
| 581 |
+
"partial_rotary_factor": 0.25,
|
| 582 |
+
"rope_theta": 10000000,
|
| 583 |
+
"rope_type": "default"
|
| 584 |
+
},
|
| 585 |
+
"tie_word_embeddings": true,
|
| 586 |
+
"use_cache": true,
|
| 587 |
+
"vocab_size": 248320
|
| 588 |
+
},
|
| 589 |
+
"tie_word_embeddings": true,
|
| 590 |
+
"transformers_version": "5.3.0",
|
| 591 |
+
"use_cache": false,
|
| 592 |
+
"use_geometry_encoder": true,
|
| 593 |
+
"video_token_id": 248057,
|
| 594 |
+
"vision_config": {
|
| 595 |
+
"deepstack_visual_indexes": [],
|
| 596 |
+
"depth": 24,
|
| 597 |
+
"dtype": "bfloat16",
|
| 598 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 599 |
+
"hidden_size": 1024,
|
| 600 |
+
"in_channels": 3,
|
| 601 |
+
"initializer_range": 0.02,
|
| 602 |
+
"intermediate_size": 4096,
|
| 603 |
+
"model_type": "qwen3_5",
|
| 604 |
+
"num_heads": 16,
|
| 605 |
+
"num_position_embeddings": 2304,
|
| 606 |
+
"out_hidden_size": 2560,
|
| 607 |
+
"patch_size": 16,
|
| 608 |
+
"spatial_merge_size": 2,
|
| 609 |
+
"temporal_patch_size": 2
|
| 610 |
+
},
|
| 611 |
+
"vision_end_token_id": 248054,
|
| 612 |
+
"vision_language_fusion_layers": null,
|
| 613 |
+
"vision_start_token_id": 248053
|
| 614 |
+
}
|
| 615 |
+
|
| 616 |
+
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'}]
|
| 617 |
+
Total training samples: 2429620
|
| 618 |
+
Total training samples: 2429620
|
| 619 |
+
Total training samples: 2429620
|
| 620 |
+
Formatting inputs...Skip in lazy mode
|
| 621 |
+
Formatting inputs...Skip in lazy mode
|
| 622 |
+
Formatting inputs...Skip in lazy mode
|
| 623 |
+
Total training samples: 2429620
|
| 624 |
+
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}.
|
| 625 |
+
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}.
|
| 626 |
+
Formatting inputs...Skip in lazy mode
|
| 627 |
+
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}.
|
| 628 |
+
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}.
|
| 629 |
+
NCCL version 2.26.2+cuda12.2
|
| 630 |
+
|
| 631 |
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)]
|
| 632 |
+
/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.
|
| 633 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 634 |
+
[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)]
|
| 635 |
+
/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.
|
| 636 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 637 |
+
[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)]
|
| 638 |
+
/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.
|
| 639 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 640 |
+
[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)]
|
| 641 |
+
/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.
|
| 642 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 643 |
+
[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)]
|
| 644 |
+
/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.
|
| 645 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 646 |
+
|
| 647 |
3%|▎ | 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)]
|
| 648 |
+
/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.
|
| 649 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 650 |
+
|
| 651 |
7%|▋ | 2/30 [01:17<16:09, 34.63s/it]
|
| 652 |
10%|█ | 3/30 [01:33<11:50, 26.30s/it]
|
| 653 |
13%|█▎ | 4/30 [01:57<10:59, 25.37s/it]
|
| 654 |
17%|█▋ | 5/30 [02:13<09:09, 21.99s/it]
|
| 655 |
20%|██ | 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)]
|
| 656 |
+
/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.
|
| 657 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 658 |
+
|
| 659 |
23%|██▎ | 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)]
|
| 660 |
+
/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.
|
| 661 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 662 |
+
|
| 663 |
27%|██▋ | 8/30 [03:11<07:35, 20.72s/it]
|
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30%|███ | 9/30 [03:27<06:44, 19.25s/it]
|
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33%|███▎ | 10/30 [03:43<06:06, 18.34s/it]
|
| 666 |
|
| 667 |
+
|
| 668 |
33%|███▎ | 10/30 [03:43<06:06, 18.34s/it]
|
| 669 |
37%|███▋ | 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
|
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|
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40%|████ | 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
|
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43%|████▎ | 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
|
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|
| 675 |
47%|████▋ | 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
|
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50%|█████ | 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
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53%|█████▎ | 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
|
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57%|█████▋ | 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
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60%|██████ | 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
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63%|██████▎ | 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
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67%|██████▋ | 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
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|
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67%|██████▋ | 20/30 [06:21<02:36, 15.62s/it]
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| 693 |
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| 695 |
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| 696 |
77%|███████▋ | 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
|
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80%|████████ | 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
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| 699 |
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| 700 |
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|
| 701 |
+
|
| 702 |
87%|████████▋ | 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
|
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|
| 704 |
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|
| 705 |
+
|
| 706 |
93%|█████████▎| 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
|
| 707 |
+
|
| 708 |
97%|█████████▋| 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
|
| 709 |
+
|
| 710 |
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|
| 711 |
|
| 712 |
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| 713 |
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|
| 715 |
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|
| 716 |
|
| 717 |
+
|
| 718 |
+
|
| 719 |
+
[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())
|
batch_profile.BDZIPD/run3_bs8/train.log
ADDED
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| 0 |
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)]
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|
| 1 |
3%|▎ | 1/30 [01:01<29:30, 61.06s/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)]
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| 2 |
7%|▋ | 2/30 [01:17<16:22, 35.10s/it]
|
| 3 |
10%|█ | 3/30 [01:34<12:01, 26.73s/it]
|
| 4 |
13%|█▎ | 4/30 [01:59<11:13, 25.90s/it]
|
| 5 |
17%|█▋ | 5/30 [02:15<09:22, 22.49s/it]
|
| 6 |
20%|██ | 6/30 [02:32<08:08, 20.37s/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)]
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| 7 |
23%|██▎ | 7/30 [02:48<07:18, 19.06s/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)]
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| 8 |
27%|██▋ | 8/30 [03:13<07:43, 21.05s/it]
|
| 9 |
30%|███ | 9/30 [03:30<06:52, 19.65s/it]
|
| 10 |
33%|███▎ | 10/30 [03:46<06:14, 18.71s/it]
|
| 11 |
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| 12 |
33%|███▎ | 10/30 [03:47<06:14, 18.71s/it]
|
| 13 |
37%|███▋ | 11/30 [04:03<05:45, 18.17s/it][TrainingProfile] step=11 wall_s=16.537 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 14 |
40%|████ | 12/30 [04:20<05:18, 17.70s/it][TrainingProfile] step=12 wall_s=16.615 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 15 |
43%|████▎ | 13/30 [04:36<04:53, 17.28s/it][TrainingProfile] step=13 wall_s=16.300 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 16 |
47%|████▋ | 14/30 [04:51<04:24, 16.53s/it][TrainingProfile] step=14 wall_s=14.802 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 17 |
50%|█████ | 15/30 [05:07<04:06, 16.44s/it][TrainingProfile] step=15 wall_s=16.249 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 18 |
53%|█████▎ | 16/30 [05:24<03:51, 16.51s/it][TrainingProfile] step=16 wall_s=16.648 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 19 |
57%|█████▋ | 17/30 [05:40<03:31, 16.25s/it][TrainingProfile] step=17 wall_s=15.658 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 20 |
60%|██████ | 18/30 [05:55<03:12, 16.02s/it][TrainingProfile] step=18 wall_s=15.483 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 21 |
63%|██████▎ | 19/30 [06:10<02:53, 15.79s/it][TrainingProfile] step=19 wall_s=15.260 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 22 |
67%|██████▋ | 20/30 [06:26<02:36, 15.68s/it][TrainingProfile] step=20 wall_s=15.424 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 23 |
|
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| 24 |
67%|██████▋ | 20/30 [06:26<02:36, 15.68s/it]
|
| 25 |
70%|███████ | 21/30 [06:41<02:19, 15.56s/it][TrainingProfile] step=21 wall_s=15.259 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 26 |
73%|███████▎ | 22/30 [06:56<02:03, 15.48s/it][TrainingProfile] step=22 wall_s=15.310 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 27 |
77%|███████▋ | 23/30 [07:10<01:45, 15.05s/it][TrainingProfile] step=23 wall_s=14.035 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 28 |
80%|████████ | 24/30 [07:26<01:30, 15.13s/it][TrainingProfile] step=24 wall_s=15.320 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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|
| 29 |
83%|████████▎ | 25/30 [07:41<01:15, 15.20s/it][TrainingProfile] step=25 wall_s=15.359 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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87%|████████▋ | 26/30 [07:57<01:01, 15.34s/it][TrainingProfile] step=26 wall_s=15.656 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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90%|█████████ | 27/30 [08:13<00:46, 15.46s/it][TrainingProfile] step=27 wall_s=15.733 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 32 |
93%|█████████▎| 28/30 [08:28<00:31, 15.51s/it][TrainingProfile] step=28 wall_s=15.630 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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97%|█████████▋| 29/30 [08:44<00:15, 15.56s/it][TrainingProfile] step=29 wall_s=15.678 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
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| 35 |
|
|
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|
|
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|
| 1 |
+
[INFO] Running in WANDB offline mode
|
| 2 |
+
[INFO] Running in WANDB offline mode
|
| 3 |
+
[INFO] Running in WANDB offline mode
|
| 4 |
+
[INFO] Running in WANDB offline mode
|
| 5 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 6 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 7 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 8 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 9 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 10 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 11 |
+
[2026-09-18 05:05:41,310] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 12 |
+
[2026-09-18 05:05:41,320] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 13 |
+
[2026-09-18 05:05:41,343] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 14 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 15 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 16 |
+
[2026-09-18 05:05:41,525] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 17 |
+
[2026-09-18 05:05:41,619] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 18 |
+
[2026-09-18 05:05:41,687] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 19 |
+
[2026-09-18 05:05:41,687] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 20 |
+
[2026-09-18 05:05:41,687] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
|
| 21 |
+
[2026-09-18 05:05:41,861] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 22 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 23 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 24 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 31 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 32 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 33 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 34 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 35 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 36 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 37 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 38 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 39 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 40 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 41 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 42 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 43 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 44 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 45 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 46 |
+
Loading weights from local directory
|
| 47 |
+
Loading weights from local directory
|
| 48 |
+
Loading weights from local directory
|
| 49 |
+
Loading weights from local directory
|
| 50 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 51 |
+
Qwen3_5Config {
|
| 52 |
+
"architectures": [
|
| 53 |
+
"Qwen3_5ForConditionalGeneration"
|
| 54 |
+
],
|
| 55 |
+
"dtype": "bfloat16",
|
| 56 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 57 |
+
"fusion_num_layers": 1,
|
| 58 |
+
"geometry_encoder_layers": [
|
| 59 |
+
11,
|
| 60 |
+
17,
|
| 61 |
+
23
|
| 62 |
+
],
|
| 63 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 64 |
+
"geometry_encoder_streaming": true,
|
| 65 |
+
"geometry_encoder_type": "vggt",
|
| 66 |
+
"geometry_frame_strict": true,
|
| 67 |
+
"geometry_fusion_layers": [
|
| 68 |
+
0,
|
| 69 |
+
1,
|
| 70 |
+
2
|
| 71 |
+
],
|
| 72 |
+
"geometry_fusion_scale": 0.5,
|
| 73 |
+
"geometry_importance_gate": true,
|
| 74 |
+
"geometry_learnable_scale": true,
|
| 75 |
+
"geometry_merger_type": "mlp",
|
| 76 |
+
"geometry_spatial_bias": false,
|
| 77 |
+
"image_token_id": 248056,
|
| 78 |
+
"include_camera_token": false,
|
| 79 |
+
"model_type": "qwen3_5",
|
| 80 |
+
"pos_encoding_type": "none",
|
| 81 |
+
"reference_frame": "first",
|
| 82 |
+
"supervised_token_loss": true,
|
| 83 |
+
"text_config": {
|
| 84 |
+
"attention_bias": false,
|
| 85 |
+
"attention_dropout": 0.0,
|
| 86 |
+
"attn_output_gate": true,
|
| 87 |
+
"bos_token_id": null,
|
| 88 |
+
"dtype": "bfloat16",
|
| 89 |
+
"eos_token_id": 248044,
|
| 90 |
+
"full_attention_interval": 4,
|
| 91 |
+
"head_dim": 256,
|
| 92 |
+
"hidden_act": "silu",
|
| 93 |
+
"hidden_size": 2560,
|
| 94 |
+
"initializer_range": 0.02,
|
| 95 |
+
"intermediate_size": 9216,
|
| 96 |
+
"layer_types": [
|
| 97 |
+
"linear_attention",
|
| 98 |
+
"linear_attention",
|
| 99 |
+
"linear_attention",
|
| 100 |
+
"full_attention",
|
| 101 |
+
"linear_attention",
|
| 102 |
+
"linear_attention",
|
| 103 |
+
"linear_attention",
|
| 104 |
+
"full_attention",
|
| 105 |
+
"linear_attention",
|
| 106 |
+
"linear_attention",
|
| 107 |
+
"linear_attention",
|
| 108 |
+
"full_attention",
|
| 109 |
+
"linear_attention",
|
| 110 |
+
"linear_attention",
|
| 111 |
+
"linear_attention",
|
| 112 |
+
"full_attention",
|
| 113 |
+
"linear_attention",
|
| 114 |
+
"linear_attention",
|
| 115 |
+
"linear_attention",
|
| 116 |
+
"full_attention",
|
| 117 |
+
"linear_attention",
|
| 118 |
+
"linear_attention",
|
| 119 |
+
"linear_attention",
|
| 120 |
+
"full_attention",
|
| 121 |
+
"linear_attention",
|
| 122 |
+
"linear_attention",
|
| 123 |
+
"linear_attention",
|
| 124 |
+
"full_attention",
|
| 125 |
+
"linear_attention",
|
| 126 |
+
"linear_attention",
|
| 127 |
+
"linear_attention",
|
| 128 |
+
"full_attention"
|
| 129 |
+
],
|
| 130 |
+
"linear_conv_kernel_dim": 4,
|
| 131 |
+
"linear_key_head_dim": 128,
|
| 132 |
+
"linear_num_key_heads": 16,
|
| 133 |
+
"linear_num_value_heads": 32,
|
| 134 |
+
"linear_value_head_dim": 128,
|
| 135 |
+
"mamba_ssm_dtype": "float32",
|
| 136 |
+
"max_position_embeddings": 262144,
|
| 137 |
+
"mlp_only_layers": [],
|
| 138 |
+
"model_type": "qwen3_5_text",
|
| 139 |
+
"mtp_num_hidden_layers": 1,
|
| 140 |
+
"mtp_use_dedicated_embeddings": false,
|
| 141 |
+
"num_attention_heads": 16,
|
| 142 |
+
"num_hidden_layers": 32,
|
| 143 |
+
"num_key_value_heads": 4,
|
| 144 |
+
"pad_token_id": null,
|
| 145 |
+
"partial_rotary_factor": 0.25,
|
| 146 |
+
"rms_norm_eps": 1e-06,
|
| 147 |
+
"rope_parameters": {
|
| 148 |
+
"mrope_interleaved": true,
|
| 149 |
+
"mrope_section": [
|
| 150 |
+
11,
|
| 151 |
+
11,
|
| 152 |
+
10
|
| 153 |
+
],
|
| 154 |
+
"partial_rotary_factor": 0.25,
|
| 155 |
+
"rope_theta": 10000000,
|
| 156 |
+
"rope_type": "default"
|
| 157 |
+
},
|
| 158 |
+
"tie_word_embeddings": true,
|
| 159 |
+
"use_cache": true,
|
| 160 |
+
"vocab_size": 248320
|
| 161 |
+
},
|
| 162 |
+
"tie_word_embeddings": true,
|
| 163 |
+
"transformers_version": "5.3.0",
|
| 164 |
+
"use_cache": false,
|
| 165 |
+
"use_geometry_encoder": true,
|
| 166 |
+
"video_token_id": 248057,
|
| 167 |
+
"vision_config": {
|
| 168 |
+
"deepstack_visual_indexes": [],
|
| 169 |
+
"depth": 24,
|
| 170 |
+
"dtype": "bfloat16",
|
| 171 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 172 |
+
"hidden_size": 1024,
|
| 173 |
+
"in_channels": 3,
|
| 174 |
+
"initializer_range": 0.02,
|
| 175 |
+
"intermediate_size": 4096,
|
| 176 |
+
"model_type": "qwen3_5",
|
| 177 |
+
"num_heads": 16,
|
| 178 |
+
"num_position_embeddings": 2304,
|
| 179 |
+
"out_hidden_size": 2560,
|
| 180 |
+
"patch_size": 16,
|
| 181 |
+
"spatial_merge_size": 2,
|
| 182 |
+
"temporal_patch_size": 2
|
| 183 |
+
},
|
| 184 |
+
"vision_end_token_id": 248054,
|
| 185 |
+
"vision_language_fusion_layers": null,
|
| 186 |
+
"vision_start_token_id": 248053
|
| 187 |
+
}
|
| 188 |
+
|
| 189 |
+
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'}]
|
| 190 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 191 |
+
Qwen3_5Config {
|
| 192 |
+
"architectures": [
|
| 193 |
+
"Qwen3_5ForConditionalGeneration"
|
| 194 |
+
],
|
| 195 |
+
"dtype": "bfloat16",
|
| 196 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 197 |
+
"fusion_num_layers": 1,
|
| 198 |
+
"geometry_encoder_layers": [
|
| 199 |
+
11,
|
| 200 |
+
17,
|
| 201 |
+
23
|
| 202 |
+
],
|
| 203 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 204 |
+
"geometry_encoder_streaming": true,
|
| 205 |
+
"geometry_encoder_type": "vggt",
|
| 206 |
+
"geometry_frame_strict": true,
|
| 207 |
+
"geometry_fusion_layers": [
|
| 208 |
+
0,
|
| 209 |
+
1,
|
| 210 |
+
2
|
| 211 |
+
],
|
| 212 |
+
"geometry_fusion_scale": 0.5,
|
| 213 |
+
"geometry_importance_gate": true,
|
| 214 |
+
"geometry_learnable_scale": true,
|
| 215 |
+
"geometry_merger_type": "mlp",
|
| 216 |
+
"geometry_spatial_bias": false,
|
| 217 |
+
"image_token_id": 248056,
|
| 218 |
+
"include_camera_token": false,
|
| 219 |
+
"model_type": "qwen3_5",
|
| 220 |
+
"pos_encoding_type": "none",
|
| 221 |
+
"reference_frame": "first",
|
| 222 |
+
"supervised_token_loss": true,
|
| 223 |
+
"text_config": {
|
| 224 |
+
"attention_bias": false,
|
| 225 |
+
"attention_dropout": 0.0,
|
| 226 |
+
"attn_output_gate": true,
|
| 227 |
+
"bos_token_id": null,
|
| 228 |
+
"dtype": "bfloat16",
|
| 229 |
+
"eos_token_id": 248044,
|
| 230 |
+
"full_attention_interval": 4,
|
| 231 |
+
"head_dim": 256,
|
| 232 |
+
"hidden_act": "silu",
|
| 233 |
+
"hidden_size": 2560,
|
| 234 |
+
"initializer_range": 0.02,
|
| 235 |
+
"intermediate_size": 9216,
|
| 236 |
+
"layer_types": [
|
| 237 |
+
"linear_attention",
|
| 238 |
+
"linear_attention",
|
| 239 |
+
"linear_attention",
|
| 240 |
+
"full_attention",
|
| 241 |
+
"linear_attention",
|
| 242 |
+
"linear_attention",
|
| 243 |
+
"linear_attention",
|
| 244 |
+
"full_attention",
|
| 245 |
+
"linear_attention",
|
| 246 |
+
"linear_attention",
|
| 247 |
+
"linear_attention",
|
| 248 |
+
"full_attention",
|
| 249 |
+
"linear_attention",
|
| 250 |
+
"linear_attention",
|
| 251 |
+
"linear_attention",
|
| 252 |
+
"full_attention",
|
| 253 |
+
"linear_attention",
|
| 254 |
+
"linear_attention",
|
| 255 |
+
"linear_attention",
|
| 256 |
+
"full_attention",
|
| 257 |
+
"linear_attention",
|
| 258 |
+
"linear_attention",
|
| 259 |
+
"linear_attention",
|
| 260 |
+
"full_attention",
|
| 261 |
+
"linear_attention",
|
| 262 |
+
"linear_attention",
|
| 263 |
+
"linear_attention",
|
| 264 |
+
"full_attention",
|
| 265 |
+
"linear_attention",
|
| 266 |
+
"linear_attention",
|
| 267 |
+
"linear_attention",
|
| 268 |
+
"full_attention"
|
| 269 |
+
],
|
| 270 |
+
"linear_conv_kernel_dim": 4,
|
| 271 |
+
"linear_key_head_dim": 128,
|
| 272 |
+
"linear_num_key_heads": 16,
|
| 273 |
+
"linear_num_value_heads": 32,
|
| 274 |
+
"linear_value_head_dim": 128,
|
| 275 |
+
"mamba_ssm_dtype": "float32",
|
| 276 |
+
"max_position_embeddings": 262144,
|
| 277 |
+
"mlp_only_layers": [],
|
| 278 |
+
"model_type": "qwen3_5_text",
|
| 279 |
+
"mtp_num_hidden_layers": 1,
|
| 280 |
+
"mtp_use_dedicated_embeddings": false,
|
| 281 |
+
"num_attention_heads": 16,
|
| 282 |
+
"num_hidden_layers": 32,
|
| 283 |
+
"num_key_value_heads": 4,
|
| 284 |
+
"pad_token_id": null,
|
| 285 |
+
"partial_rotary_factor": 0.25,
|
| 286 |
+
"rms_norm_eps": 1e-06,
|
| 287 |
+
"rope_parameters": {
|
| 288 |
+
"mrope_interleaved": true,
|
| 289 |
+
"mrope_section": [
|
| 290 |
+
11,
|
| 291 |
+
11,
|
| 292 |
+
10
|
| 293 |
+
],
|
| 294 |
+
"partial_rotary_factor": 0.25,
|
| 295 |
+
"rope_theta": 10000000,
|
| 296 |
+
"rope_type": "default"
|
| 297 |
+
},
|
| 298 |
+
"tie_word_embeddings": true,
|
| 299 |
+
"use_cache": true,
|
| 300 |
+
"vocab_size": 248320
|
| 301 |
+
},
|
| 302 |
+
"tie_word_embeddings": true,
|
| 303 |
+
"transformers_version": "5.3.0",
|
| 304 |
+
"use_cache": false,
|
| 305 |
+
"use_geometry_encoder": true,
|
| 306 |
+
"video_token_id": 248057,
|
| 307 |
+
"vision_config": {
|
| 308 |
+
"deepstack_visual_indexes": [],
|
| 309 |
+
"depth": 24,
|
| 310 |
+
"dtype": "bfloat16",
|
| 311 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 312 |
+
"hidden_size": 1024,
|
| 313 |
+
"in_channels": 3,
|
| 314 |
+
"initializer_range": 0.02,
|
| 315 |
+
"intermediate_size": 4096,
|
| 316 |
+
"model_type": "qwen3_5",
|
| 317 |
+
"num_heads": 16,
|
| 318 |
+
"num_position_embeddings": 2304,
|
| 319 |
+
"out_hidden_size": 2560,
|
| 320 |
+
"patch_size": 16,
|
| 321 |
+
"spatial_merge_size": 2,
|
| 322 |
+
"temporal_patch_size": 2
|
| 323 |
+
},
|
| 324 |
+
"vision_end_token_id": 248054,
|
| 325 |
+
"vision_language_fusion_layers": null,
|
| 326 |
+
"vision_start_token_id": 248053
|
| 327 |
+
}
|
| 328 |
+
|
| 329 |
+
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'}]
|
| 330 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 331 |
+
Qwen3_5Config {
|
| 332 |
+
"architectures": [
|
| 333 |
+
"Qwen3_5ForConditionalGeneration"
|
| 334 |
+
],
|
| 335 |
+
"dtype": "bfloat16",
|
| 336 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 337 |
+
"fusion_num_layers": 1,
|
| 338 |
+
"geometry_encoder_layers": [
|
| 339 |
+
11,
|
| 340 |
+
17,
|
| 341 |
+
23
|
| 342 |
+
],
|
| 343 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 344 |
+
"geometry_encoder_streaming": true,
|
| 345 |
+
"geometry_encoder_type": "vggt",
|
| 346 |
+
"geometry_frame_strict": true,
|
| 347 |
+
"geometry_fusion_layers": [
|
| 348 |
+
0,
|
| 349 |
+
1,
|
| 350 |
+
2
|
| 351 |
+
],
|
| 352 |
+
"geometry_fusion_scale": 0.5,
|
| 353 |
+
"geometry_importance_gate": true,
|
| 354 |
+
"geometry_learnable_scale": true,
|
| 355 |
+
"geometry_merger_type": "mlp",
|
| 356 |
+
"geometry_spatial_bias": false,
|
| 357 |
+
"image_token_id": 248056,
|
| 358 |
+
"include_camera_token": false,
|
| 359 |
+
"model_type": "qwen3_5",
|
| 360 |
+
"pos_encoding_type": "none",
|
| 361 |
+
"reference_frame": "first",
|
| 362 |
+
"supervised_token_loss": true,
|
| 363 |
+
"text_config": {
|
| 364 |
+
"attention_bias": false,
|
| 365 |
+
"attention_dropout": 0.0,
|
| 366 |
+
"attn_output_gate": true,
|
| 367 |
+
"bos_token_id": null,
|
| 368 |
+
"dtype": "bfloat16",
|
| 369 |
+
"eos_token_id": 248044,
|
| 370 |
+
"full_attention_interval": 4,
|
| 371 |
+
"head_dim": 256,
|
| 372 |
+
"hidden_act": "silu",
|
| 373 |
+
"hidden_size": 2560,
|
| 374 |
+
"initializer_range": 0.02,
|
| 375 |
+
"intermediate_size": 9216,
|
| 376 |
+
"layer_types": [
|
| 377 |
+
"linear_attention",
|
| 378 |
+
"linear_attention",
|
| 379 |
+
"linear_attention",
|
| 380 |
+
"full_attention",
|
| 381 |
+
"linear_attention",
|
| 382 |
+
"linear_attention",
|
| 383 |
+
"linear_attention",
|
| 384 |
+
"full_attention",
|
| 385 |
+
"linear_attention",
|
| 386 |
+
"linear_attention",
|
| 387 |
+
"linear_attention",
|
| 388 |
+
"full_attention",
|
| 389 |
+
"linear_attention",
|
| 390 |
+
"linear_attention",
|
| 391 |
+
"linear_attention",
|
| 392 |
+
"full_attention",
|
| 393 |
+
"linear_attention",
|
| 394 |
+
"linear_attention",
|
| 395 |
+
"linear_attention",
|
| 396 |
+
"full_attention",
|
| 397 |
+
"linear_attention",
|
| 398 |
+
"linear_attention",
|
| 399 |
+
"linear_attention",
|
| 400 |
+
"full_attention",
|
| 401 |
+
"linear_attention",
|
| 402 |
+
"linear_attention",
|
| 403 |
+
"linear_attention",
|
| 404 |
+
"full_attention",
|
| 405 |
+
"linear_attention",
|
| 406 |
+
"linear_attention",
|
| 407 |
+
"linear_attention",
|
| 408 |
+
"full_attention"
|
| 409 |
+
],
|
| 410 |
+
"linear_conv_kernel_dim": 4,
|
| 411 |
+
"linear_key_head_dim": 128,
|
| 412 |
+
"linear_num_key_heads": 16,
|
| 413 |
+
"linear_num_value_heads": 32,
|
| 414 |
+
"linear_value_head_dim": 128,
|
| 415 |
+
"mamba_ssm_dtype": "float32",
|
| 416 |
+
"max_position_embeddings": 262144,
|
| 417 |
+
"mlp_only_layers": [],
|
| 418 |
+
"model_type": "qwen3_5_text",
|
| 419 |
+
"mtp_num_hidden_layers": 1,
|
| 420 |
+
"mtp_use_dedicated_embeddings": false,
|
| 421 |
+
"num_attention_heads": 16,
|
| 422 |
+
"num_hidden_layers": 32,
|
| 423 |
+
"num_key_value_heads": 4,
|
| 424 |
+
"pad_token_id": null,
|
| 425 |
+
"partial_rotary_factor": 0.25,
|
| 426 |
+
"rms_norm_eps": 1e-06,
|
| 427 |
+
"rope_parameters": {
|
| 428 |
+
"mrope_interleaved": true,
|
| 429 |
+
"mrope_section": [
|
| 430 |
+
11,
|
| 431 |
+
11,
|
| 432 |
+
10
|
| 433 |
+
],
|
| 434 |
+
"partial_rotary_factor": 0.25,
|
| 435 |
+
"rope_theta": 10000000,
|
| 436 |
+
"rope_type": "default"
|
| 437 |
+
},
|
| 438 |
+
"tie_word_embeddings": true,
|
| 439 |
+
"use_cache": true,
|
| 440 |
+
"vocab_size": 248320
|
| 441 |
+
},
|
| 442 |
+
"tie_word_embeddings": true,
|
| 443 |
+
"transformers_version": "5.3.0",
|
| 444 |
+
"use_cache": false,
|
| 445 |
+
"use_geometry_encoder": true,
|
| 446 |
+
"video_token_id": 248057,
|
| 447 |
+
"vision_config": {
|
| 448 |
+
"deepstack_visual_indexes": [],
|
| 449 |
+
"depth": 24,
|
| 450 |
+
"dtype": "bfloat16",
|
| 451 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 452 |
+
"hidden_size": 1024,
|
| 453 |
+
"in_channels": 3,
|
| 454 |
+
"initializer_range": 0.02,
|
| 455 |
+
"intermediate_size": 4096,
|
| 456 |
+
"model_type": "qwen3_5",
|
| 457 |
+
"num_heads": 16,
|
| 458 |
+
"num_position_embeddings": 2304,
|
| 459 |
+
"out_hidden_size": 2560,
|
| 460 |
+
"patch_size": 16,
|
| 461 |
+
"spatial_merge_size": 2,
|
| 462 |
+
"temporal_patch_size": 2
|
| 463 |
+
},
|
| 464 |
+
"vision_end_token_id": 248054,
|
| 465 |
+
"vision_language_fusion_layers": null,
|
| 466 |
+
"vision_start_token_id": 248053
|
| 467 |
+
}
|
| 468 |
+
|
| 469 |
+
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'}]
|
| 470 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 471 |
+
Vision Module - Attention Blocks:
|
| 472 |
+
Trainable Block Indices: None
|
| 473 |
+
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]
|
| 474 |
+
Merger Module Trainable: True
|
| 475 |
+
LLM Module - Embed Tokens Trainable: True
|
| 476 |
+
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]
|
| 477 |
+
LLM Module - Non-Trainable Layer Indices: None
|
| 478 |
+
Qwen3_5Config {
|
| 479 |
+
"architectures": [
|
| 480 |
+
"Qwen3_5ForConditionalGeneration"
|
| 481 |
+
],
|
| 482 |
+
"dtype": "bfloat16",
|
| 483 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 484 |
+
"fusion_num_layers": 1,
|
| 485 |
+
"geometry_encoder_layers": [
|
| 486 |
+
11,
|
| 487 |
+
17,
|
| 488 |
+
23
|
| 489 |
+
],
|
| 490 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 491 |
+
"geometry_encoder_streaming": true,
|
| 492 |
+
"geometry_encoder_type": "vggt",
|
| 493 |
+
"geometry_frame_strict": true,
|
| 494 |
+
"geometry_fusion_layers": [
|
| 495 |
+
0,
|
| 496 |
+
1,
|
| 497 |
+
2
|
| 498 |
+
],
|
| 499 |
+
"geometry_fusion_scale": 0.5,
|
| 500 |
+
"geometry_importance_gate": true,
|
| 501 |
+
"geometry_learnable_scale": true,
|
| 502 |
+
"geometry_merger_type": "mlp",
|
| 503 |
+
"geometry_spatial_bias": false,
|
| 504 |
+
"image_token_id": 248056,
|
| 505 |
+
"include_camera_token": false,
|
| 506 |
+
"model_type": "qwen3_5",
|
| 507 |
+
"pos_encoding_type": "none",
|
| 508 |
+
"reference_frame": "first",
|
| 509 |
+
"supervised_token_loss": true,
|
| 510 |
+
"text_config": {
|
| 511 |
+
"attention_bias": false,
|
| 512 |
+
"attention_dropout": 0.0,
|
| 513 |
+
"attn_output_gate": true,
|
| 514 |
+
"bos_token_id": null,
|
| 515 |
+
"dtype": "bfloat16",
|
| 516 |
+
"eos_token_id": 248044,
|
| 517 |
+
"full_attention_interval": 4,
|
| 518 |
+
"head_dim": 256,
|
| 519 |
+
"hidden_act": "silu",
|
| 520 |
+
"hidden_size": 2560,
|
| 521 |
+
"initializer_range": 0.02,
|
| 522 |
+
"intermediate_size": 9216,
|
| 523 |
+
"layer_types": [
|
| 524 |
+
"linear_attention",
|
| 525 |
+
"linear_attention",
|
| 526 |
+
"linear_attention",
|
| 527 |
+
"full_attention",
|
| 528 |
+
"linear_attention",
|
| 529 |
+
"linear_attention",
|
| 530 |
+
"linear_attention",
|
| 531 |
+
"full_attention",
|
| 532 |
+
"linear_attention",
|
| 533 |
+
"linear_attention",
|
| 534 |
+
"linear_attention",
|
| 535 |
+
"full_attention",
|
| 536 |
+
"linear_attention",
|
| 537 |
+
"linear_attention",
|
| 538 |
+
"linear_attention",
|
| 539 |
+
"full_attention",
|
| 540 |
+
"linear_attention",
|
| 541 |
+
"linear_attention",
|
| 542 |
+
"linear_attention",
|
| 543 |
+
"full_attention",
|
| 544 |
+
"linear_attention",
|
| 545 |
+
"linear_attention",
|
| 546 |
+
"linear_attention",
|
| 547 |
+
"full_attention",
|
| 548 |
+
"linear_attention",
|
| 549 |
+
"linear_attention",
|
| 550 |
+
"linear_attention",
|
| 551 |
+
"full_attention",
|
| 552 |
+
"linear_attention",
|
| 553 |
+
"linear_attention",
|
| 554 |
+
"linear_attention",
|
| 555 |
+
"full_attention"
|
| 556 |
+
],
|
| 557 |
+
"linear_conv_kernel_dim": 4,
|
| 558 |
+
"linear_key_head_dim": 128,
|
| 559 |
+
"linear_num_key_heads": 16,
|
| 560 |
+
"linear_num_value_heads": 32,
|
| 561 |
+
"linear_value_head_dim": 128,
|
| 562 |
+
"mamba_ssm_dtype": "float32",
|
| 563 |
+
"max_position_embeddings": 262144,
|
| 564 |
+
"mlp_only_layers": [],
|
| 565 |
+
"model_type": "qwen3_5_text",
|
| 566 |
+
"mtp_num_hidden_layers": 1,
|
| 567 |
+
"mtp_use_dedicated_embeddings": false,
|
| 568 |
+
"num_attention_heads": 16,
|
| 569 |
+
"num_hidden_layers": 32,
|
| 570 |
+
"num_key_value_heads": 4,
|
| 571 |
+
"pad_token_id": null,
|
| 572 |
+
"partial_rotary_factor": 0.25,
|
| 573 |
+
"rms_norm_eps": 1e-06,
|
| 574 |
+
"rope_parameters": {
|
| 575 |
+
"mrope_interleaved": true,
|
| 576 |
+
"mrope_section": [
|
| 577 |
+
11,
|
| 578 |
+
11,
|
| 579 |
+
10
|
| 580 |
+
],
|
| 581 |
+
"partial_rotary_factor": 0.25,
|
| 582 |
+
"rope_theta": 10000000,
|
| 583 |
+
"rope_type": "default"
|
| 584 |
+
},
|
| 585 |
+
"tie_word_embeddings": true,
|
| 586 |
+
"use_cache": true,
|
| 587 |
+
"vocab_size": 248320
|
| 588 |
+
},
|
| 589 |
+
"tie_word_embeddings": true,
|
| 590 |
+
"transformers_version": "5.3.0",
|
| 591 |
+
"use_cache": false,
|
| 592 |
+
"use_geometry_encoder": true,
|
| 593 |
+
"video_token_id": 248057,
|
| 594 |
+
"vision_config": {
|
| 595 |
+
"deepstack_visual_indexes": [],
|
| 596 |
+
"depth": 24,
|
| 597 |
+
"dtype": "bfloat16",
|
| 598 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 599 |
+
"hidden_size": 1024,
|
| 600 |
+
"in_channels": 3,
|
| 601 |
+
"initializer_range": 0.02,
|
| 602 |
+
"intermediate_size": 4096,
|
| 603 |
+
"model_type": "qwen3_5",
|
| 604 |
+
"num_heads": 16,
|
| 605 |
+
"num_position_embeddings": 2304,
|
| 606 |
+
"out_hidden_size": 2560,
|
| 607 |
+
"patch_size": 16,
|
| 608 |
+
"spatial_merge_size": 2,
|
| 609 |
+
"temporal_patch_size": 2
|
| 610 |
+
},
|
| 611 |
+
"vision_end_token_id": 248054,
|
| 612 |
+
"vision_language_fusion_layers": null,
|
| 613 |
+
"vision_start_token_id": 248053
|
| 614 |
+
}
|
| 615 |
+
|
| 616 |
+
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'}]
|
| 617 |
+
Total training samples: 2429620
|
| 618 |
+
Total training samples: 2429620
|
| 619 |
+
Total training samples: 2429620
|
| 620 |
+
Total training samples: 2429620
|
| 621 |
+
Formatting inputs...Skip in lazy mode
|
| 622 |
+
Formatting inputs...Skip in lazy mode
|
| 623 |
+
Formatting inputs...Skip in lazy mode
|
| 624 |
+
Formatting inputs...Skip in lazy mode
|
| 625 |
+
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}.
|
| 626 |
+
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}.
|
| 627 |
+
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}.
|
| 628 |
+
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}.
|
| 629 |
+
NCCL version 2.26.2+cuda12.2
|
| 630 |
+
|
| 631 |
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)]
|
| 632 |
+
/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.
|
| 633 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 634 |
+
[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)]
|
| 635 |
+
/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.
|
| 636 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 637 |
+
[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)]
|
| 638 |
+
/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.
|
| 639 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 640 |
+
[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)]
|
| 641 |
+
/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.
|
| 642 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 643 |
+
[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)]
|
| 644 |
+
/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.
|
| 645 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 646 |
+
|
| 647 |
3%|▎ | 1/30 [01:01<29:30, 61.06s/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)]
|
| 648 |
+
/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.
|
| 649 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 650 |
+
|
| 651 |
7%|▋ | 2/30 [01:17<16:22, 35.10s/it]
|
| 652 |
10%|█ | 3/30 [01:34<12:01, 26.73s/it]
|
| 653 |
13%|█▎ | 4/30 [01:59<11:13, 25.90s/it]
|
| 654 |
17%|█▋ | 5/30 [02:15<09:22, 22.49s/it]
|
| 655 |
20%|██ | 6/30 [02:32<08:08, 20.37s/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)]
|
| 656 |
+
/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.
|
| 657 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 658 |
+
|
| 659 |
23%|██▎ | 7/30 [02:48<07:18, 19.06s/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)]
|
| 660 |
+
/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.
|
| 661 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 662 |
+
|
| 663 |
27%|██▋ | 8/30 [03:13<07:43, 21.05s/it]
|
| 664 |
30%|███ | 9/30 [03:30<06:52, 19.65s/it]
|
| 665 |
33%|███▎ | 10/30 [03:46<06:14, 18.71s/it]
|
| 666 |
|
| 667 |
+
|
| 668 |
33%|███▎ | 10/30 [03:47<06:14, 18.71s/it]
|
| 669 |
37%|███▋ | 11/30 [04:03<05:45, 18.17s/it][TrainingProfile] step=11 wall_s=16.537 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 670 |
+
|
| 671 |
40%|████ | 12/30 [04:20<05:18, 17.70s/it][TrainingProfile] step=12 wall_s=16.615 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 672 |
+
|
| 673 |
43%|████▎ | 13/30 [04:36<04:53, 17.28s/it][TrainingProfile] step=13 wall_s=16.300 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 674 |
+
|
| 675 |
47%|████▋ | 14/30 [04:51<04:24, 16.53s/it][TrainingProfile] step=14 wall_s=14.802 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 676 |
+
|
| 677 |
50%|█████ | 15/30 [05:07<04:06, 16.44s/it][TrainingProfile] step=15 wall_s=16.249 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 678 |
+
|
| 679 |
53%|█████▎ | 16/30 [05:24<03:51, 16.51s/it][TrainingProfile] step=16 wall_s=16.648 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 680 |
+
|
| 681 |
57%|█████▋ | 17/30 [05:40<03:31, 16.25s/it][TrainingProfile] step=17 wall_s=15.658 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 682 |
+
|
| 683 |
60%|██████ | 18/30 [05:55<03:12, 16.02s/it][TrainingProfile] step=18 wall_s=15.483 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 684 |
+
|
| 685 |
63%|██████▎ | 19/30 [06:10<02:53, 15.79s/it][TrainingProfile] step=19 wall_s=15.260 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 686 |
+
|
| 687 |
67%|██████▋ | 20/30 [06:26<02:36, 15.68s/it][TrainingProfile] step=20 wall_s=15.424 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 688 |
+
|
| 689 |
|
| 690 |
+
|
| 691 |
67%|██████▋ | 20/30 [06:26<02:36, 15.68s/it]
|
| 692 |
70%|███████ | 21/30 [06:41<02:19, 15.56s/it][TrainingProfile] step=21 wall_s=15.259 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 693 |
+
|
| 694 |
73%|███████▎ | 22/30 [06:56<02:03, 15.48s/it][TrainingProfile] step=22 wall_s=15.310 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 695 |
+
|
| 696 |
77%|███████▋ | 23/30 [07:10<01:45, 15.05s/it][TrainingProfile] step=23 wall_s=14.035 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 697 |
+
|
| 698 |
80%|████████ | 24/30 [07:26<01:30, 15.13s/it][TrainingProfile] step=24 wall_s=15.320 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 699 |
+
|
| 700 |
83%|████████▎ | 25/30 [07:41<01:15, 15.20s/it][TrainingProfile] step=25 wall_s=15.359 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 701 |
+
|
| 702 |
87%|████████▋ | 26/30 [07:57<01:01, 15.34s/it][TrainingProfile] step=26 wall_s=15.656 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 703 |
+
|
| 704 |
90%|█████████ | 27/30 [08:13<00:46, 15.46s/it][TrainingProfile] step=27 wall_s=15.733 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 705 |
+
|
| 706 |
93%|█████████▎| 28/30 [08:28<00:31, 15.51s/it][TrainingProfile] step=28 wall_s=15.630 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 707 |
+
|
| 708 |
97%|█████████▋| 29/30 [08:44<00:15, 15.56s/it][TrainingProfile] step=29 wall_s=15.678 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run3_bs8/profile_rank0.jsonl
|
| 709 |
+
|
| 710 |
+
|
| 711 |
|
| 712 |
+
|
| 713 |
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|
| 714 |
+
|
| 715 |
+
|
| 716 |
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| 717 |
+
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| 718 |
+
|
| 719 |
+
[rank0]:[W918 05:18:14.862700603 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())
|
batch_profile.BDZIPD/run4_bs4/train.log
ADDED
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| 0 |
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), (3, 3, 420, 560)]
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|
| 1 |
3%|▎ | 1/30 [00:50<24:11, 50.06s/it]
|
| 2 |
7%|▋ | 2/30 [01:04<13:31, 28.99s/it]
|
| 3 |
10%|█ | 3/30 [01:19<10:11, 22.65s/it]
|
| 4 |
13%|█▎ | 4/30 [01:43<10:02, 23.17s/it]
|
| 5 |
17%|█▋ | 5/30 [01:57<08:19, 19.98s/it]
|
| 6 |
20%|██ | 6/30 [02:12<07:16, 18.19s/it]
|
| 7 |
23%|██▎ | 7/30 [02:26<06:30, 16.98s/it]
|
| 8 |
27%|██▋ | 8/30 [02:42<06:04, 16.56s/it]
|
| 9 |
30%|███ | 9/30 [02:56<05:31, 15.77s/it]
|
| 10 |
33%|███▎ | 10/30 [03:12<05:13, 15.66s/it]
|
| 11 |
|
|
|
|
| 12 |
33%|███▎ | 10/30 [03:12<05:13, 15.66s/it]
|
| 13 |
37%|███▋ | 11/30 [03:27<04:55, 15.55s/it][TrainingProfile] step=11 wall_s=14.926 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 14 |
40%|████ | 12/30 [03:42<04:37, 15.42s/it][TrainingProfile] step=12 wall_s=15.125 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
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|
|
|
| 15 |
43%|████▎ | 13/30 [03:56<04:17, 15.12s/it][TrainingProfile] step=13 wall_s=14.431 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
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|
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|
| 16 |
47%|████▋ | 14/30 [04:10<03:56, 14.80s/it][TrainingProfile] step=14 wall_s=14.038 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
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|
| 17 |
50%|█████ | 15/30 [04:25<03:41, 14.74s/it][TrainingProfile] step=15 wall_s=14.606 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
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|
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|
| 18 |
53%|█████▎ | 16/30 [04:40<03:25, 14.66s/it][TrainingProfile] step=16 wall_s=14.483 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
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|
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|
| 19 |
57%|█████▋ | 17/30 [04:55<03:13, 14.91s/it][TrainingProfile] step=17 wall_s=15.496 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
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|
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|
| 20 |
60%|██████ | 18/30 [05:10<02:58, 14.90s/it][TrainingProfile] step=18 wall_s=14.875 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 21 |
63%|██████▎ | 19/30 [05:24<02:42, 14.81s/it][TrainingProfile] step=19 wall_s=14.581 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 22 |
67%|██████▋ | 20/30 [05:40<02:29, 14.97s/it][TrainingProfile] step=20 wall_s=15.355 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 23 |
|
|
|
|
| 24 |
67%|██████▋ | 20/30 [05:40<02:29, 14.97s/it]
|
| 25 |
70%|███████ | 21/30 [05:55<02:14, 14.95s/it][TrainingProfile] step=21 wall_s=14.889 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 26 |
73%|███████▎ | 22/30 [06:09<01:57, 14.69s/it][TrainingProfile] step=22 wall_s=14.104 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 27 |
77%|███████▋ | 23/30 [06:23<01:40, 14.42s/it][TrainingProfile] step=23 wall_s=13.770 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 28 |
80%|████████ | 24/30 [06:38<01:28, 14.78s/it][TrainingProfile] step=24 wall_s=15.622 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 29 |
83%|████████▎ | 25/30 [06:52<01:12, 14.51s/it][TrainingProfile] step=25 wall_s=13.885 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 30 |
87%|████████▋ | 26/30 [07:07<00:58, 14.57s/it][TrainingProfile] step=26 wall_s=14.717 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 31 |
90%|█████████ | 27/30 [07:21<00:43, 14.53s/it][TrainingProfile] step=27 wall_s=14.423 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 32 |
93%|█████████▎| 28/30 [07:36<00:29, 14.56s/it][TrainingProfile] step=28 wall_s=14.617 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
| 33 |
97%|█████████▋| 29/30 [07:51<00:14, 14.69s/it][TrainingProfile] step=29 wall_s=15.002 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.BDZIPD/run4_bs4/profile_rank0.jsonl
|
|
|
|
|
|
|
| 34 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[INFO] Running in WANDB offline mode
|
| 2 |
+
[INFO] Running in WANDB offline mode
|
| 3 |
+
[INFO] Running in WANDB offline mode
|
| 4 |
+
[INFO] Running in WANDB offline mode
|
| 5 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 6 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 7 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 8 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 9 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 10 |
+
[2026-09-18 05:18:27,633] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 11 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 12 |
+
[2026-09-18 05:18:27,660] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 13 |
+
[2026-09-18 05:18:27,668] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 14 |
+
Trainer._get_train_sampler replaced with custom implementation.
|
| 15 |
+
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
|
| 16 |
+
[2026-09-18 05:18:27,847] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
|
| 17 |
+
[2026-09-18 05:18:27,972] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 18 |
+
[2026-09-18 05:18:27,972] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 19 |
+
[2026-09-18 05:18:27,995] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 20 |
+
[2026-09-18 05:18:28,162] [INFO] [comm.py:658:init_distributed] cdb=None
|
| 21 |
+
[2026-09-18 05:18:28,162] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
|
| 22 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 23 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 24 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 25 |
+
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 31 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 32 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 33 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 34 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 35 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 36 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 37 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 38 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 39 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 40 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 41 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 42 |
+
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
|
| 43 |
+
[FeatureFusion] geometry fusion delta scaled by 0.5
|
| 44 |
+
[FeatureFusion] importance gate ENABLED on geometry delta
|
| 45 |
+
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
|
| 46 |
+
Loading weights from local directory
|
| 47 |
+
Loading weights from local directory
|
| 48 |
+
Loading weights from local directory
|
| 49 |
+
Loading weights from local directory
|
| 50 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 51 |
+
Vision Module - Attention Blocks:
|
| 52 |
+
Trainable Block Indices: None
|
| 53 |
+
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]
|
| 54 |
+
Merger Module Trainable: True
|
| 55 |
+
LLM Module - Embed Tokens Trainable: True
|
| 56 |
+
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]
|
| 57 |
+
LLM Module - Non-Trainable Layer Indices: None
|
| 58 |
+
Qwen3_5Config {
|
| 59 |
+
"architectures": [
|
| 60 |
+
"Qwen3_5ForConditionalGeneration"
|
| 61 |
+
],
|
| 62 |
+
"dtype": "bfloat16",
|
| 63 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 64 |
+
"fusion_num_layers": 1,
|
| 65 |
+
"geometry_encoder_layers": [
|
| 66 |
+
11,
|
| 67 |
+
17,
|
| 68 |
+
23
|
| 69 |
+
],
|
| 70 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 71 |
+
"geometry_encoder_streaming": true,
|
| 72 |
+
"geometry_encoder_type": "vggt",
|
| 73 |
+
"geometry_frame_strict": true,
|
| 74 |
+
"geometry_fusion_layers": [
|
| 75 |
+
0,
|
| 76 |
+
1,
|
| 77 |
+
2
|
| 78 |
+
],
|
| 79 |
+
"geometry_fusion_scale": 0.5,
|
| 80 |
+
"geometry_importance_gate": true,
|
| 81 |
+
"geometry_learnable_scale": true,
|
| 82 |
+
"geometry_merger_type": "mlp",
|
| 83 |
+
"geometry_spatial_bias": false,
|
| 84 |
+
"image_token_id": 248056,
|
| 85 |
+
"include_camera_token": false,
|
| 86 |
+
"model_type": "qwen3_5",
|
| 87 |
+
"pos_encoding_type": "none",
|
| 88 |
+
"reference_frame": "first",
|
| 89 |
+
"supervised_token_loss": true,
|
| 90 |
+
"text_config": {
|
| 91 |
+
"attention_bias": false,
|
| 92 |
+
"attention_dropout": 0.0,
|
| 93 |
+
"attn_output_gate": true,
|
| 94 |
+
"bos_token_id": null,
|
| 95 |
+
"dtype": "bfloat16",
|
| 96 |
+
"eos_token_id": 248044,
|
| 97 |
+
"full_attention_interval": 4,
|
| 98 |
+
"head_dim": 256,
|
| 99 |
+
"hidden_act": "silu",
|
| 100 |
+
"hidden_size": 2560,
|
| 101 |
+
"initializer_range": 0.02,
|
| 102 |
+
"intermediate_size": 9216,
|
| 103 |
+
"layer_types": [
|
| 104 |
+
"linear_attention",
|
| 105 |
+
"linear_attention",
|
| 106 |
+
"linear_attention",
|
| 107 |
+
"full_attention",
|
| 108 |
+
"linear_attention",
|
| 109 |
+
"linear_attention",
|
| 110 |
+
"linear_attention",
|
| 111 |
+
"full_attention",
|
| 112 |
+
"linear_attention",
|
| 113 |
+
"linear_attention",
|
| 114 |
+
"linear_attention",
|
| 115 |
+
"full_attention",
|
| 116 |
+
"linear_attention",
|
| 117 |
+
"linear_attention",
|
| 118 |
+
"linear_attention",
|
| 119 |
+
"full_attention",
|
| 120 |
+
"linear_attention",
|
| 121 |
+
"linear_attention",
|
| 122 |
+
"linear_attention",
|
| 123 |
+
"full_attention",
|
| 124 |
+
"linear_attention",
|
| 125 |
+
"linear_attention",
|
| 126 |
+
"linear_attention",
|
| 127 |
+
"full_attention",
|
| 128 |
+
"linear_attention",
|
| 129 |
+
"linear_attention",
|
| 130 |
+
"linear_attention",
|
| 131 |
+
"full_attention",
|
| 132 |
+
"linear_attention",
|
| 133 |
+
"linear_attention",
|
| 134 |
+
"linear_attention",
|
| 135 |
+
"full_attention"
|
| 136 |
+
],
|
| 137 |
+
"linear_conv_kernel_dim": 4,
|
| 138 |
+
"linear_key_head_dim": 128,
|
| 139 |
+
"linear_num_key_heads": 16,
|
| 140 |
+
"linear_num_value_heads": 32,
|
| 141 |
+
"linear_value_head_dim": 128,
|
| 142 |
+
"mamba_ssm_dtype": "float32",
|
| 143 |
+
"max_position_embeddings": 262144,
|
| 144 |
+
"mlp_only_layers": [],
|
| 145 |
+
"model_type": "qwen3_5_text",
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| 146 |
+
"mtp_num_hidden_layers": 1,
|
| 147 |
+
"mtp_use_dedicated_embeddings": false,
|
| 148 |
+
"num_attention_heads": 16,
|
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+
"num_hidden_layers": 32,
|
| 150 |
+
"num_key_value_heads": 4,
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| 151 |
+
"pad_token_id": null,
|
| 152 |
+
"partial_rotary_factor": 0.25,
|
| 153 |
+
"rms_norm_eps": 1e-06,
|
| 154 |
+
"rope_parameters": {
|
| 155 |
+
"mrope_interleaved": true,
|
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+
"mrope_section": [
|
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+
11,
|
| 158 |
+
11,
|
| 159 |
+
10
|
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+
],
|
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+
"partial_rotary_factor": 0.25,
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+
"rope_theta": 10000000,
|
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+
"rope_type": "default"
|
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+
},
|
| 165 |
+
"tie_word_embeddings": true,
|
| 166 |
+
"use_cache": true,
|
| 167 |
+
"vocab_size": 248320
|
| 168 |
+
},
|
| 169 |
+
"tie_word_embeddings": true,
|
| 170 |
+
"transformers_version": "5.3.0",
|
| 171 |
+
"use_cache": false,
|
| 172 |
+
"use_geometry_encoder": true,
|
| 173 |
+
"video_token_id": 248057,
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+
"vision_config": {
|
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+
"deepstack_visual_indexes": [],
|
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+
"depth": 24,
|
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+
"dtype": "bfloat16",
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+
"hidden_act": "gelu_pytorch_tanh",
|
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+
"hidden_size": 1024,
|
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+
"in_channels": 3,
|
| 181 |
+
"initializer_range": 0.02,
|
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+
"intermediate_size": 4096,
|
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+
"model_type": "qwen3_5",
|
| 184 |
+
"num_heads": 16,
|
| 185 |
+
"num_position_embeddings": 2304,
|
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+
"out_hidden_size": 2560,
|
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+
"patch_size": 16,
|
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+
"spatial_merge_size": 2,
|
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+
"temporal_patch_size": 2
|
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+
},
|
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+
"vision_end_token_id": 248054,
|
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+
"vision_language_fusion_layers": null,
|
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+
"vision_start_token_id": 248053
|
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+
}
|
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+
|
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+
Loading datasets: [{'annotation_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN/train_r2r_rxr.json', 'data_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN', 'tag': '3d', 'sampling_rate': 1.0, 'dataset_name': 'train_r2r_rxr'}]
|
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+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
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+
Qwen3_5Config {
|
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+
"architectures": [
|
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+
"Qwen3_5ForConditionalGeneration"
|
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+
],
|
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+
"dtype": "bfloat16",
|
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"feature_fusion_method": "deepstack_language_add",
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+
"fusion_num_layers": 1,
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+
"geometry_encoder_layers": [
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+
11,
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+
17,
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+
23
|
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+
],
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+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
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+
"geometry_encoder_streaming": true,
|
| 212 |
+
"geometry_encoder_type": "vggt",
|
| 213 |
+
"geometry_frame_strict": true,
|
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+
"geometry_fusion_layers": [
|
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+
0,
|
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+
1,
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+
2
|
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+
],
|
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+
"geometry_fusion_scale": 0.5,
|
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+
"geometry_importance_gate": true,
|
| 221 |
+
"geometry_learnable_scale": true,
|
| 222 |
+
"geometry_merger_type": "mlp",
|
| 223 |
+
"geometry_spatial_bias": false,
|
| 224 |
+
"image_token_id": 248056,
|
| 225 |
+
"include_camera_token": false,
|
| 226 |
+
"model_type": "qwen3_5",
|
| 227 |
+
"pos_encoding_type": "none",
|
| 228 |
+
"reference_frame": "first",
|
| 229 |
+
"supervised_token_loss": true,
|
| 230 |
+
"text_config": {
|
| 231 |
+
"attention_bias": false,
|
| 232 |
+
"attention_dropout": 0.0,
|
| 233 |
+
"attn_output_gate": true,
|
| 234 |
+
"bos_token_id": null,
|
| 235 |
+
"dtype": "bfloat16",
|
| 236 |
+
"eos_token_id": 248044,
|
| 237 |
+
"full_attention_interval": 4,
|
| 238 |
+
"head_dim": 256,
|
| 239 |
+
"hidden_act": "silu",
|
| 240 |
+
"hidden_size": 2560,
|
| 241 |
+
"initializer_range": 0.02,
|
| 242 |
+
"intermediate_size": 9216,
|
| 243 |
+
"layer_types": [
|
| 244 |
+
"linear_attention",
|
| 245 |
+
"linear_attention",
|
| 246 |
+
"linear_attention",
|
| 247 |
+
"full_attention",
|
| 248 |
+
"linear_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"full_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"full_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"full_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
| 262 |
+
"linear_attention",
|
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+
"full_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"full_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"full_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"linear_attention",
|
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+
"full_attention"
|
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+
],
|
| 277 |
+
"linear_conv_kernel_dim": 4,
|
| 278 |
+
"linear_key_head_dim": 128,
|
| 279 |
+
"linear_num_key_heads": 16,
|
| 280 |
+
"linear_num_value_heads": 32,
|
| 281 |
+
"linear_value_head_dim": 128,
|
| 282 |
+
"mamba_ssm_dtype": "float32",
|
| 283 |
+
"max_position_embeddings": 262144,
|
| 284 |
+
"mlp_only_layers": [],
|
| 285 |
+
"model_type": "qwen3_5_text",
|
| 286 |
+
"mtp_num_hidden_layers": 1,
|
| 287 |
+
"mtp_use_dedicated_embeddings": false,
|
| 288 |
+
"num_attention_heads": 16,
|
| 289 |
+
"num_hidden_layers": 32,
|
| 290 |
+
"num_key_value_heads": 4,
|
| 291 |
+
"pad_token_id": null,
|
| 292 |
+
"partial_rotary_factor": 0.25,
|
| 293 |
+
"rms_norm_eps": 1e-06,
|
| 294 |
+
"rope_parameters": {
|
| 295 |
+
"mrope_interleaved": true,
|
| 296 |
+
"mrope_section": [
|
| 297 |
+
11,
|
| 298 |
+
11,
|
| 299 |
+
10
|
| 300 |
+
],
|
| 301 |
+
"partial_rotary_factor": 0.25,
|
| 302 |
+
"rope_theta": 10000000,
|
| 303 |
+
"rope_type": "default"
|
| 304 |
+
},
|
| 305 |
+
"tie_word_embeddings": true,
|
| 306 |
+
"use_cache": true,
|
| 307 |
+
"vocab_size": 248320
|
| 308 |
+
},
|
| 309 |
+
"tie_word_embeddings": true,
|
| 310 |
+
"transformers_version": "5.3.0",
|
| 311 |
+
"use_cache": false,
|
| 312 |
+
"use_geometry_encoder": true,
|
| 313 |
+
"video_token_id": 248057,
|
| 314 |
+
"vision_config": {
|
| 315 |
+
"deepstack_visual_indexes": [],
|
| 316 |
+
"depth": 24,
|
| 317 |
+
"dtype": "bfloat16",
|
| 318 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 319 |
+
"hidden_size": 1024,
|
| 320 |
+
"in_channels": 3,
|
| 321 |
+
"initializer_range": 0.02,
|
| 322 |
+
"intermediate_size": 4096,
|
| 323 |
+
"model_type": "qwen3_5",
|
| 324 |
+
"num_heads": 16,
|
| 325 |
+
"num_position_embeddings": 2304,
|
| 326 |
+
"out_hidden_size": 2560,
|
| 327 |
+
"patch_size": 16,
|
| 328 |
+
"spatial_merge_size": 2,
|
| 329 |
+
"temporal_patch_size": 2
|
| 330 |
+
},
|
| 331 |
+
"vision_end_token_id": 248054,
|
| 332 |
+
"vision_language_fusion_layers": null,
|
| 333 |
+
"vision_start_token_id": 248053
|
| 334 |
+
}
|
| 335 |
+
|
| 336 |
+
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'}]
|
| 337 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 338 |
+
Qwen3_5Config {
|
| 339 |
+
"architectures": [
|
| 340 |
+
"Qwen3_5ForConditionalGeneration"
|
| 341 |
+
],
|
| 342 |
+
"dtype": "bfloat16",
|
| 343 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 344 |
+
"fusion_num_layers": 1,
|
| 345 |
+
"geometry_encoder_layers": [
|
| 346 |
+
11,
|
| 347 |
+
17,
|
| 348 |
+
23
|
| 349 |
+
],
|
| 350 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 351 |
+
"geometry_encoder_streaming": true,
|
| 352 |
+
"geometry_encoder_type": "vggt",
|
| 353 |
+
"geometry_frame_strict": true,
|
| 354 |
+
"geometry_fusion_layers": [
|
| 355 |
+
0,
|
| 356 |
+
1,
|
| 357 |
+
2
|
| 358 |
+
],
|
| 359 |
+
"geometry_fusion_scale": 0.5,
|
| 360 |
+
"geometry_importance_gate": true,
|
| 361 |
+
"geometry_learnable_scale": true,
|
| 362 |
+
"geometry_merger_type": "mlp",
|
| 363 |
+
"geometry_spatial_bias": false,
|
| 364 |
+
"image_token_id": 248056,
|
| 365 |
+
"include_camera_token": false,
|
| 366 |
+
"model_type": "qwen3_5",
|
| 367 |
+
"pos_encoding_type": "none",
|
| 368 |
+
"reference_frame": "first",
|
| 369 |
+
"supervised_token_loss": true,
|
| 370 |
+
"text_config": {
|
| 371 |
+
"attention_bias": false,
|
| 372 |
+
"attention_dropout": 0.0,
|
| 373 |
+
"attn_output_gate": true,
|
| 374 |
+
"bos_token_id": null,
|
| 375 |
+
"dtype": "bfloat16",
|
| 376 |
+
"eos_token_id": 248044,
|
| 377 |
+
"full_attention_interval": 4,
|
| 378 |
+
"head_dim": 256,
|
| 379 |
+
"hidden_act": "silu",
|
| 380 |
+
"hidden_size": 2560,
|
| 381 |
+
"initializer_range": 0.02,
|
| 382 |
+
"intermediate_size": 9216,
|
| 383 |
+
"layer_types": [
|
| 384 |
+
"linear_attention",
|
| 385 |
+
"linear_attention",
|
| 386 |
+
"linear_attention",
|
| 387 |
+
"full_attention",
|
| 388 |
+
"linear_attention",
|
| 389 |
+
"linear_attention",
|
| 390 |
+
"linear_attention",
|
| 391 |
+
"full_attention",
|
| 392 |
+
"linear_attention",
|
| 393 |
+
"linear_attention",
|
| 394 |
+
"linear_attention",
|
| 395 |
+
"full_attention",
|
| 396 |
+
"linear_attention",
|
| 397 |
+
"linear_attention",
|
| 398 |
+
"linear_attention",
|
| 399 |
+
"full_attention",
|
| 400 |
+
"linear_attention",
|
| 401 |
+
"linear_attention",
|
| 402 |
+
"linear_attention",
|
| 403 |
+
"full_attention",
|
| 404 |
+
"linear_attention",
|
| 405 |
+
"linear_attention",
|
| 406 |
+
"linear_attention",
|
| 407 |
+
"full_attention",
|
| 408 |
+
"linear_attention",
|
| 409 |
+
"linear_attention",
|
| 410 |
+
"linear_attention",
|
| 411 |
+
"full_attention",
|
| 412 |
+
"linear_attention",
|
| 413 |
+
"linear_attention",
|
| 414 |
+
"linear_attention",
|
| 415 |
+
"full_attention"
|
| 416 |
+
],
|
| 417 |
+
"linear_conv_kernel_dim": 4,
|
| 418 |
+
"linear_key_head_dim": 128,
|
| 419 |
+
"linear_num_key_heads": 16,
|
| 420 |
+
"linear_num_value_heads": 32,
|
| 421 |
+
"linear_value_head_dim": 128,
|
| 422 |
+
"mamba_ssm_dtype": "float32",
|
| 423 |
+
"max_position_embeddings": 262144,
|
| 424 |
+
"mlp_only_layers": [],
|
| 425 |
+
"model_type": "qwen3_5_text",
|
| 426 |
+
"mtp_num_hidden_layers": 1,
|
| 427 |
+
"mtp_use_dedicated_embeddings": false,
|
| 428 |
+
"num_attention_heads": 16,
|
| 429 |
+
"num_hidden_layers": 32,
|
| 430 |
+
"num_key_value_heads": 4,
|
| 431 |
+
"pad_token_id": null,
|
| 432 |
+
"partial_rotary_factor": 0.25,
|
| 433 |
+
"rms_norm_eps": 1e-06,
|
| 434 |
+
"rope_parameters": {
|
| 435 |
+
"mrope_interleaved": true,
|
| 436 |
+
"mrope_section": [
|
| 437 |
+
11,
|
| 438 |
+
11,
|
| 439 |
+
10
|
| 440 |
+
],
|
| 441 |
+
"partial_rotary_factor": 0.25,
|
| 442 |
+
"rope_theta": 10000000,
|
| 443 |
+
"rope_type": "default"
|
| 444 |
+
},
|
| 445 |
+
"tie_word_embeddings": true,
|
| 446 |
+
"use_cache": true,
|
| 447 |
+
"vocab_size": 248320
|
| 448 |
+
},
|
| 449 |
+
"tie_word_embeddings": true,
|
| 450 |
+
"transformers_version": "5.3.0",
|
| 451 |
+
"use_cache": false,
|
| 452 |
+
"use_geometry_encoder": true,
|
| 453 |
+
"video_token_id": 248057,
|
| 454 |
+
"vision_config": {
|
| 455 |
+
"deepstack_visual_indexes": [],
|
| 456 |
+
"depth": 24,
|
| 457 |
+
"dtype": "bfloat16",
|
| 458 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 459 |
+
"hidden_size": 1024,
|
| 460 |
+
"in_channels": 3,
|
| 461 |
+
"initializer_range": 0.02,
|
| 462 |
+
"intermediate_size": 4096,
|
| 463 |
+
"model_type": "qwen3_5",
|
| 464 |
+
"num_heads": 16,
|
| 465 |
+
"num_position_embeddings": 2304,
|
| 466 |
+
"out_hidden_size": 2560,
|
| 467 |
+
"patch_size": 16,
|
| 468 |
+
"spatial_merge_size": 2,
|
| 469 |
+
"temporal_patch_size": 2
|
| 470 |
+
},
|
| 471 |
+
"vision_end_token_id": 248054,
|
| 472 |
+
"vision_language_fusion_layers": null,
|
| 473 |
+
"vision_start_token_id": 248053
|
| 474 |
+
}
|
| 475 |
+
|
| 476 |
+
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'}]
|
| 477 |
+
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
|
| 478 |
+
Qwen3_5Config {
|
| 479 |
+
"architectures": [
|
| 480 |
+
"Qwen3_5ForConditionalGeneration"
|
| 481 |
+
],
|
| 482 |
+
"dtype": "bfloat16",
|
| 483 |
+
"feature_fusion_method": "deepstack_language_add",
|
| 484 |
+
"fusion_num_layers": 1,
|
| 485 |
+
"geometry_encoder_layers": [
|
| 486 |
+
11,
|
| 487 |
+
17,
|
| 488 |
+
23
|
| 489 |
+
],
|
| 490 |
+
"geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
|
| 491 |
+
"geometry_encoder_streaming": true,
|
| 492 |
+
"geometry_encoder_type": "vggt",
|
| 493 |
+
"geometry_frame_strict": true,
|
| 494 |
+
"geometry_fusion_layers": [
|
| 495 |
+
0,
|
| 496 |
+
1,
|
| 497 |
+
2
|
| 498 |
+
],
|
| 499 |
+
"geometry_fusion_scale": 0.5,
|
| 500 |
+
"geometry_importance_gate": true,
|
| 501 |
+
"geometry_learnable_scale": true,
|
| 502 |
+
"geometry_merger_type": "mlp",
|
| 503 |
+
"geometry_spatial_bias": false,
|
| 504 |
+
"image_token_id": 248056,
|
| 505 |
+
"include_camera_token": false,
|
| 506 |
+
"model_type": "qwen3_5",
|
| 507 |
+
"pos_encoding_type": "none",
|
| 508 |
+
"reference_frame": "first",
|
| 509 |
+
"supervised_token_loss": true,
|
| 510 |
+
"text_config": {
|
| 511 |
+
"attention_bias": false,
|
| 512 |
+
"attention_dropout": 0.0,
|
| 513 |
+
"attn_output_gate": true,
|
| 514 |
+
"bos_token_id": null,
|
| 515 |
+
"dtype": "bfloat16",
|
| 516 |
+
"eos_token_id": 248044,
|
| 517 |
+
"full_attention_interval": 4,
|
| 518 |
+
"head_dim": 256,
|
| 519 |
+
"hidden_act": "silu",
|
| 520 |
+
"hidden_size": 2560,
|
| 521 |
+
"initializer_range": 0.02,
|
| 522 |
+
"intermediate_size": 9216,
|
| 523 |
+
"layer_types": [
|
| 524 |
+
"linear_attention",
|
| 525 |
+
"linear_attention",
|
| 526 |
+
"linear_attention",
|
| 527 |
+
"full_attention",
|
| 528 |
+
"linear_attention",
|
| 529 |
+
"linear_attention",
|
| 530 |
+
"linear_attention",
|
| 531 |
+
"full_attention",
|
| 532 |
+
"linear_attention",
|
| 533 |
+
"linear_attention",
|
| 534 |
+
"linear_attention",
|
| 535 |
+
"full_attention",
|
| 536 |
+
"linear_attention",
|
| 537 |
+
"linear_attention",
|
| 538 |
+
"linear_attention",
|
| 539 |
+
"full_attention",
|
| 540 |
+
"linear_attention",
|
| 541 |
+
"linear_attention",
|
| 542 |
+
"linear_attention",
|
| 543 |
+
"full_attention",
|
| 544 |
+
"linear_attention",
|
| 545 |
+
"linear_attention",
|
| 546 |
+
"linear_attention",
|
| 547 |
+
"full_attention",
|
| 548 |
+
"linear_attention",
|
| 549 |
+
"linear_attention",
|
| 550 |
+
"linear_attention",
|
| 551 |
+
"full_attention",
|
| 552 |
+
"linear_attention",
|
| 553 |
+
"linear_attention",
|
| 554 |
+
"linear_attention",
|
| 555 |
+
"full_attention"
|
| 556 |
+
],
|
| 557 |
+
"linear_conv_kernel_dim": 4,
|
| 558 |
+
"linear_key_head_dim": 128,
|
| 559 |
+
"linear_num_key_heads": 16,
|
| 560 |
+
"linear_num_value_heads": 32,
|
| 561 |
+
"linear_value_head_dim": 128,
|
| 562 |
+
"mamba_ssm_dtype": "float32",
|
| 563 |
+
"max_position_embeddings": 262144,
|
| 564 |
+
"mlp_only_layers": [],
|
| 565 |
+
"model_type": "qwen3_5_text",
|
| 566 |
+
"mtp_num_hidden_layers": 1,
|
| 567 |
+
"mtp_use_dedicated_embeddings": false,
|
| 568 |
+
"num_attention_heads": 16,
|
| 569 |
+
"num_hidden_layers": 32,
|
| 570 |
+
"num_key_value_heads": 4,
|
| 571 |
+
"pad_token_id": null,
|
| 572 |
+
"partial_rotary_factor": 0.25,
|
| 573 |
+
"rms_norm_eps": 1e-06,
|
| 574 |
+
"rope_parameters": {
|
| 575 |
+
"mrope_interleaved": true,
|
| 576 |
+
"mrope_section": [
|
| 577 |
+
11,
|
| 578 |
+
11,
|
| 579 |
+
10
|
| 580 |
+
],
|
| 581 |
+
"partial_rotary_factor": 0.25,
|
| 582 |
+
"rope_theta": 10000000,
|
| 583 |
+
"rope_type": "default"
|
| 584 |
+
},
|
| 585 |
+
"tie_word_embeddings": true,
|
| 586 |
+
"use_cache": true,
|
| 587 |
+
"vocab_size": 248320
|
| 588 |
+
},
|
| 589 |
+
"tie_word_embeddings": true,
|
| 590 |
+
"transformers_version": "5.3.0",
|
| 591 |
+
"use_cache": false,
|
| 592 |
+
"use_geometry_encoder": true,
|
| 593 |
+
"video_token_id": 248057,
|
| 594 |
+
"vision_config": {
|
| 595 |
+
"deepstack_visual_indexes": [],
|
| 596 |
+
"depth": 24,
|
| 597 |
+
"dtype": "bfloat16",
|
| 598 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 599 |
+
"hidden_size": 1024,
|
| 600 |
+
"in_channels": 3,
|
| 601 |
+
"initializer_range": 0.02,
|
| 602 |
+
"intermediate_size": 4096,
|
| 603 |
+
"model_type": "qwen3_5",
|
| 604 |
+
"num_heads": 16,
|
| 605 |
+
"num_position_embeddings": 2304,
|
| 606 |
+
"out_hidden_size": 2560,
|
| 607 |
+
"patch_size": 16,
|
| 608 |
+
"spatial_merge_size": 2,
|
| 609 |
+
"temporal_patch_size": 2
|
| 610 |
+
},
|
| 611 |
+
"vision_end_token_id": 248054,
|
| 612 |
+
"vision_language_fusion_layers": null,
|
| 613 |
+
"vision_start_token_id": 248053
|
| 614 |
+
}
|
| 615 |
+
|
| 616 |
+
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'}]
|
| 617 |
+
Total training samples: 2429620
|
| 618 |
+
Total training samples: 2429620
|
| 619 |
+
Total training samples: 2429620
|
| 620 |
+
Total training samples: 2429620
|
| 621 |
+
Formatting inputs...Skip in lazy mode
|
| 622 |
+
Formatting inputs...Skip in lazy mode
|
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+
Formatting inputs...Skip in lazy mode
|
| 624 |
+
Formatting inputs...Skip in lazy mode
|
| 625 |
+
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}.
|
| 626 |
+
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}.
|
| 627 |
+
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}.
|
| 628 |
+
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}.
|
| 629 |
+
NCCL version 2.26.2+cuda12.2
|
| 630 |
+
[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)]
|
| 631 |
+
/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.
|
| 632 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 633 |
+
|
| 634 |
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), (3, 3, 420, 560)]
|
| 635 |
+
/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.
|
| 636 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 637 |
+
[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)]
|
| 638 |
+
/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.
|
| 639 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 640 |
+
[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)]
|
| 641 |
+
/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.
|
| 642 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 643 |
+
[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)]
|
| 644 |
+
/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.
|
| 645 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 646 |
+
[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)]
|
| 647 |
+
/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.
|
| 648 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 649 |
+
[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)]
|
| 650 |
+
/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.
|
| 651 |
+
with torch.cuda.amp.autocast(dtype=dtype):
|
| 652 |
+
[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)]
|
| 653 |
+
/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.
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| 654 |
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[rank0]:[W918 05:29:58.693105872 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())
|