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  1. batch_profile.WrCi97/comparison.txt +36 -0
  2. batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl +21 -0
  3. batch_profile.WrCi97/run1_bs4/profile_rank1.jsonl +21 -0
  4. batch_profile.WrCi97/run1_bs4/profile_rank2.jsonl +21 -0
  5. batch_profile.WrCi97/run1_bs4/profile_rank3.jsonl +21 -0
  6. batch_profile.WrCi97/run1_bs4/train.log +683 -0
  7. batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl +21 -0
  8. batch_profile.WrCi97/run2_bs8/profile_rank1.jsonl +21 -0
  9. batch_profile.WrCi97/run2_bs8/profile_rank2.jsonl +21 -0
  10. batch_profile.WrCi97/run2_bs8/profile_rank3.jsonl +21 -0
  11. batch_profile.WrCi97/run2_bs8/train.log +683 -0
  12. batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl +21 -0
  13. batch_profile.WrCi97/run3_bs8/profile_rank1.jsonl +21 -0
  14. batch_profile.WrCi97/run3_bs8/profile_rank2.jsonl +21 -0
  15. batch_profile.WrCi97/run3_bs8/profile_rank3.jsonl +21 -0
  16. batch_profile.WrCi97/run3_bs8/train.log +683 -0
  17. batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl +21 -0
  18. batch_profile.WrCi97/run4_bs4/profile_rank1.jsonl +21 -0
  19. batch_profile.WrCi97/run4_bs4/profile_rank2.jsonl +21 -0
  20. batch_profile.WrCi97/run4_bs4/profile_rank3.jsonl +21 -0
  21. batch_profile.WrCi97/run4_bs4/train.log +683 -0
batch_profile.WrCi97/comparison.txt ADDED
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+ Matched global sample indices, token/frame counts, and training settings: PASS
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+
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+ Measured optimizer updates; excludes warmup, checkpoint saving, and periodic logging.
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+ Run | BS | max-rank wall s/update | samples/s | padding % | VGGT fallback %
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+ run1_bs4 | 4 | 14.674 | 4.361 | 7.72 | 40.00
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+ run2_bs8 | 8 | 15.416 | 4.152 | 9.01 | 73.75
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+ run3_bs8 | 8 | 15.348 | 4.170 | 9.01 | 73.75
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+ run4_bs4 | 4 | 14.716 | 4.349 | 7.72 | 40.00
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+
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+ Stage timings: CUDA stream elapsed seconds/update, from the slowest wall-time rank.
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+ Nested rows overlap: vision/geometry/language are within forward; VGGT is within geometry;
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+ DeepSpeed backward/step are within backward_and_engine_step. Do NOT sum all rows.
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+ Stage | run1_bs4 | run2_bs8 | run3_bs8 | run4_bs4
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+ batch_fetch_and_count | 0.0500 | 0.0496 | 0.0497 | 0.0494
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+ prepare_inputs | 0.0010 | 0.0009 | 0.0009 | 0.0010
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+ vision_forward | 0.5875 | 0.5741 | 0.5768 | 0.5832
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+ geometry_total | 4.6608 | 5.4370 | 5.3886 | 4.7035
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+ vggt_single | 2.3606 | 4.4515 | 4.3149 | 2.4984
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+ vggt_batched | 2.2991 | 0.9838 | 1.0720 | 2.2039
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+ language_forward | 2.7816 | 2.7305 | 2.7308 | 2.7825
21
+ forward_other | 0.0108 | 0.0086 | 0.0087 | 0.0113
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+ forward_and_loss | 8.0407 | 8.7501 | 8.7048 | 8.0805
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+ backward_and_communication | 6.4247 | 6.4881 | 6.4649 | 6.4265
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+ deepspeed_step | 0.0875 | 0.0877 | 0.0881 | 0.0875
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+ backward_and_engine_step | 6.5123 | 6.5759 | 6.5531 | 6.5142
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+ gradient_clipping | 0.0001 | 0.0001 | 0.0001 | 0.0001
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+ optimizer | 0.0000 | 0.0000 | 0.0000 | 0.0000
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+
29
+ CPU batch-fetch/count seconds/update (includes any Accelerate transfer/counting): run1_bs4=0.0500, run2_bs8=0.0497, run3_bs8=0.0497, run4_bs4=0.0495
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+ run1_bs4: per-rank wall seconds/update={'0': 14.673566439468413, '1': 14.673353948444127, '2': 14.673329481016845, '3': 14.67335846312344}; frames={'9': 1152, '1': 22, '3': 17, '7': 18, '5': 13, '4': 14, '2': 13, '8': 17, '6': 14}
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+ run2_bs8: per-rank wall seconds/update={'0': 15.414719466585666, '1': 15.41470687771216, '2': 15.41471011918038, '3': 15.414744078554213}; frames={'9': 1152, '7': 18, '4': 14, '5': 13, '3': 17, '1': 22, '8': 17, '2': 13, '6': 14}
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+ run3_bs8: per-rank wall seconds/update={'0': 15.347052206285298, '1': 15.347155910357833, '2': 15.347095459420235, '3': 15.347046211827546}; frames={'9': 1152, '7': 18, '4': 14, '5': 13, '3': 17, '1': 22, '8': 17, '2': 13, '6': 14}
33
+ run4_bs4: per-rank wall seconds/update={'0': 14.715134540852159, '1': 14.715142120141536, '2': 14.715132261626422, '3': 14.715165278408676}; frames={'9': 1152, '1': 22, '3': 17, '7': 18, '5': 13, '4': 14, '2': 13, '8': 17, '6': 14}
34
+
35
+ Stream timing includes stalls and rank waits; it is not isolated kernel compute time.
36
+ Compare phase deltas across repetitions before naming the cause; fallback/padding counts alone do not prove a time bottleneck.
batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl ADDED
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+ {"type": "config", "rank": 0, "world_size": 4, "micro_batch": 4, "accumulation": 4, "global_batch": 64, "seed": 42, "max_steps": 30, "workers": 8, "prefetch": 4, "first_step": 11, "last_step": 30, "model": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/Qwen3.5-4B", "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "note": "CUDA stream elapsed times include stalls; nested regions overlap. Update boundary synchronization is enabled. Backward includes recomputation and communication."}
2
+ {"type": "update", "rank": 0, "step": 11, "wall_ms": 14997.31596186757, "cuda_stream_ms": {"batch_fetch_and_count": 48.218177795410156, "prepare_inputs": 1.0515839755535126, "vision_forward": 572.7355194091797, "vggt_single": 4409.101970672607, "geometry_total": 5372.8570556640625, "language_forward": 2808.4124145507812, "forward_and_loss": 8764.88671875, "backward_and_communication": 6016.9224853515625, "backward_and_engine_step": 6104.0328369140625, "micro_step_total": 14924.890380859375, "vggt_batched": 962.0234375, "deepspeed_step": 86.92009735107422, "gradient_clipping": 0.061824001371860504, "optimizer": 0.01587199978530407}, "cpu_call_ms": {"batch_fetch_and_count": 48.22620004415512, "prepare_inputs": 0.7103420794010162, "vision_forward": 563.4590834379196, "vggt_single": 4408.998409286141, "geometry_total": 5368.287501856685, "language_forward": 2744.0412994474173, "forward_and_loss": 8765.11107198894, "backward_and_communication": 6011.3173350691795, "backward_and_engine_step": 6100.331451743841, "micro_step_total": 14924.768837168813, "vggt_batched": 958.514416590333, "deepspeed_step": 88.7747798115015, "gradient_clipping": 0.06111897528171539, "optimizer": 0.016067177057266235}, "calls": {"batch_fetch_and_count": 1, "prepare_inputs": 4, "vision_forward": 4, "vggt_single": 12, "geometry_total": 4, "language_forward": 4, "forward_and_loss": 4, "backward_and_communication": 4, "backward_and_engine_step": 4, "micro_step_total": 4, "vggt_batched": 1, "deepspeed_step": 1, "gradient_clipping": 1, "optimizer": 1}, "counts": {"micro_steps": 4, "samples": 16, "token_slots": 49364, "frames": 128, "vggt_single_samples": 12, "vggt_single_frames": 92, "geometry_microbatches": 4, "vggt_fallback_microbatches": 3, "vggt_batched_samples": 4, "vggt_batched_frames": 36, "vggt_batched_microbatches": 1, "valid_tokens": 42466, "supervised_tokens": 63}, "frame_histogram": {"9": 13, "1": 1, "3": 1, "7": 1}, "input_shapes": {"(4, 3210)": 1, "(4, 3098)": 1, "(4, 3024)": 1, "(4, 3009)": 1}, "sample_indices": [2355533, 2416829, 1995665, 1272647, 804348, 1468141, 523666, 838708, 576867, 592889, 1864270, 783966, 2132215, 1603483, 1467195, 2305414], "padding_fraction": 0.13973746049752855}
3
+ {"type": "update", "rank": 0, "step": 12, "wall_ms": 14939.671609550714, "cuda_stream_ms": {"batch_fetch_and_count": 50.433502197265625, "prepare_inputs": 1.0130880028009415, "vision_forward": 580.9584350585938, "vggt_single": 1504.018653869629, "geometry_total": 4393.980773925781, "language_forward": 2797.4240112304688, "forward_and_loss": 7783.1209716796875, "backward_and_communication": 6951.6815185546875, "backward_and_engine_step": 7039.18603515625, "micro_step_total": 14863.771240234375, "vggt_batched": 2889.1862182617188, "deepspeed_step": 87.31279754638672, "gradient_clipping": 0.07683199644088745, "optimizer": 0.018688000738620758}, "cpu_call_ms": {"batch_fetch_and_count": 50.43434537947178, "prepare_inputs": 0.527234748005867, "vision_forward": 570.5022364854813, "vggt_single": 1504.101200029254, "geometry_total": 4383.3037950098515, "language_forward": 2739.334436133504, "forward_and_loss": 7783.494301140308, "backward_and_communication": 6946.185763925314, "backward_and_engine_step": 7035.499565303326, "micro_step_total": 14863.544955849648, "vggt_batched": 2878.639619797468, "deepspeed_step": 89.06116522848606, "gradient_clipping": 0.07617846131324768, "optimizer": 0.018766149878501892}, "calls": {"batch_fetch_and_count": 1, "prepare_inputs": 4, "vision_forward": 4, "vggt_single": 4, "geometry_total": 4, "language_forward": 4, "forward_and_loss": 4, "backward_and_communication": 4, "backward_and_engine_step": 4, "micro_step_total": 4, "vggt_batched": 3, "deepspeed_step": 1, "gradient_clipping": 1, "optimizer": 1}, "counts": {"micro_steps": 4, "samples": 16, "token_slots": 48868, "frames": 137, "vggt_single_samples": 4, "vggt_single_frames": 29, "geometry_microbatches": 4, "vggt_fallback_microbatches": 1, "vggt_batched_samples": 12, "vggt_batched_frames": 108, "vggt_batched_microbatches": 3, "valid_tokens": 45080, "supervised_tokens": 64}, "frame_histogram": {"9": 15, "2": 1}, "input_shapes": {"(4, 3157)": 1, "(4, 3057)": 1, "(4, 3001)": 1, "(4, 3002)": 1}, "sample_indices": [1967907, 1417080, 2401808, 1448123, 686733, 2355370, 1677979, 774494, 722262, 2182373, 549203, 1951238, 2311513, 522701, 1794562, 983516], "padding_fraction": 0.07751493820086763}
4
+ {"type": "update", "rank": 0, "step": 13, "wall_ms": 14473.94473478198, "cuda_stream_ms": {"batch_fetch_and_count": 51.484798431396484, "prepare_inputs": 1.0386880040168762, "vision_forward": 584.1872863769531, "vggt_single": 1445.9819412231445, "geometry_total": 4333.613952636719, "language_forward": 2815.4761352539062, "forward_and_loss": 7744.1265869140625, "backward_and_communication": 6523.7193603515625, "backward_and_engine_step": 6610.9150390625, "micro_step_total": 14397.474853515625, "vggt_batched": 2886.8491821289062, "deepspeed_step": 87.02787017822266, "gradient_clipping": 0.0560000017285347, "optimizer": 0.01603199914097786}, "cpu_call_ms": {"batch_fetch_and_count": 51.49042420089245, "prepare_inputs": 0.5647428333759308, "vision_forward": 573.6224185675383, "vggt_single": 1446.0881054401398, "geometry_total": 4322.888985276222, "language_forward": 2757.503930479288, "forward_and_loss": 7744.482081383467, "backward_and_communication": 6518.177144229412, "backward_and_engine_step": 6607.256783172488, "micro_step_total": 14397.354207932949, "vggt_batched": 2876.2788642197847, "deepspeed_step": 88.85808289051056, "gradient_clipping": 0.05566328763961792, "optimizer": 0.01638755202293396}, "calls": {"batch_fetch_and_count": 1, "prepare_inputs": 4, "vision_forward": 4, "vggt_single": 4, "geometry_total": 4, "language_forward": 4, "forward_and_loss": 4, "backward_and_communication": 4, "backward_and_engine_step": 4, "micro_step_total": 4, "vggt_batched": 3, "deepspeed_step": 1, "gradient_clipping": 1, "optimizer": 1}, "counts": {"micro_steps": 4, "samples": 16, "token_slots": 49264, "frames": 138, "vggt_single_samples": 4, "vggt_single_frames": 30, "geometry_microbatches": 4, "vggt_fallback_microbatches": 1, "vggt_batched_samples": 12, "vggt_batched_frames": 108, "vggt_batched_microbatches": 3, "valid_tokens": 45374, "supervised_tokens": 64}, "frame_histogram": {"9": 15, "3": 1}, "input_shapes": {"(4, 3218)": 1, "(4, 3073)": 1, "(4, 3015)": 1, "(4, 3010)": 1}, "sample_indices": [39296, 2144433, 461833, 1762742, 1108757, 648681, 2373037, 2323477, 686564, 2059737, 2326835, 98658, 1798063, 758102, 18007, 27640], "padding_fraction": 0.07896232543033455}
5
+ {"type": "update", "rank": 0, "step": 14, "wall_ms": 14106.345143169165, "cuda_stream_ms": {"batch_fetch_and_count": 52.35308837890625, "prepare_inputs": 1.020000010728836, "vision_forward": 600.0755462646484, "vggt_single": 1559.4951477050781, "geometry_total": 4445.866027832031, "language_forward": 2797.7090454101562, "forward_and_loss": 7854.4586181640625, "backward_and_communication": 6045.861328125, "backward_and_engine_step": 6133.30126953125, "micro_step_total": 14029.112060546875, "vggt_batched": 2885.5953979492188, "deepspeed_step": 87.26009368896484, "gradient_clipping": 0.08012799918651581, "optimizer": 0.022911999374628067}, "cpu_call_ms": {"batch_fetch_and_count": 52.357928827404976, "prepare_inputs": 0.5094185471534729, "vision_forward": 589.1612842679024, "vggt_single": 1559.2639353126287, "geometry_total": 4434.770949184895, "language_forward": 2740.022663027048, "forward_and_loss": 7854.857489466667, "backward_and_communication": 6040.338335558772, "backward_and_engine_step": 6129.644758999348, "micro_step_total": 14029.126865789294, "vggt_batched": 2874.989651143551, "deepspeed_step": 89.06583115458488, "gradient_clipping": 0.07931701838970184, "optimizer": 0.023050233721733093}, "calls": {"batch_fetch_and_count": 1, "prepare_inputs": 4, "vision_forward": 4, "vggt_single": 4, "geometry_total": 4, "language_forward": 4, "forward_and_loss": 4, "backward_and_communication": 4, "backward_and_engine_step": 4, "micro_step_total": 4, "vggt_batched": 3, "deepspeed_step": 1, "gradient_clipping": 1, "optimizer": 1}, "counts": {"micro_steps": 4, "samples": 16, "token_slots": 48716, "frames": 141, "vggt_single_samples": 4, "vggt_single_frames": 33, "geometry_microbatches": 4, "vggt_fallback_microbatches": 1, "vggt_batched_samples": 12, "vggt_batched_frames": 108, "vggt_batched_microbatches": 3, "valid_tokens": 46086, "supervised_tokens": 63}, "frame_histogram": {"9": 15, "6": 1}, "input_shapes": {"(4, 3137)": 1, "(4, 3032)": 1, "(4, 3014)": 1, "(4, 2996)": 1}, "sample_indices": [1940922, 2085879, 1066504, 1571799, 534912, 354859, 2014512, 2373679, 1416640, 899945, 2287031, 1863042, 1495253, 1919294, 1142087, 1074676], "padding_fraction": 0.05398636998111506}
6
+ {"type": "update", "rank": 0, "step": 15, "wall_ms": 14447.914915159345, "cuda_stream_ms": {"batch_fetch_and_count": 46.128353118896484, "prepare_inputs": 0.998528003692627, "vision_forward": 556.0606155395508, "vggt_single": 2691.4062690734863, "geometry_total": 4612.120788574219, "language_forward": 2776.8292846679688, "forward_and_loss": 7955.637451171875, "backward_and_communication": 6291.6607666015625, "backward_and_engine_step": 6379.3123779296875, "micro_step_total": 14378.420654296875, "vggt_batched": 1919.4741821289062, "deepspeed_step": 87.47366333007812, "gradient_clipping": 0.0551999993622303, "optimizer": 0.01961600035429001}, "cpu_call_ms": {"batch_fetch_and_count": 46.38184607028961, "prepare_inputs": 0.5524046719074249, "vision_forward": 546.2103299796581, "vggt_single": 2691.584700718522, "geometry_total": 4604.666348546743, "language_forward": 2717.0470003038645, "forward_and_loss": 7955.9661615639925, "backward_and_communication": 6286.1209232360125, "backward_and_engine_step": 6375.627126544714, "micro_step_total": 14378.433920443058, "vggt_batched": 1912.4368820339441, "deepspeed_step": 89.28201906383038, "gradient_clipping": 0.05459226667881012, "optimizer": 0.01992844045162201}, "calls": {"batch_fetch_and_count": 1, "prepare_inputs": 4, "vision_forward": 4, "vggt_single": 8, "geometry_total": 4, "language_forward": 4, "forward_and_loss": 4, "backward_and_communication": 4, "backward_and_engine_step": 4, "micro_step_total": 4, "vggt_batched": 2, "deepspeed_step": 1, "gradient_clipping": 1, "optimizer": 1}, "counts": {"micro_steps": 4, "samples": 16, "token_slots": 48800, "frames": 130, "vggt_single_samples": 8, "vggt_single_frames": 58, "geometry_microbatches": 4, "vggt_fallback_microbatches": 2, "vggt_batched_samples": 8, "vggt_batched_frames": 72, "vggt_batched_microbatches": 2, "valid_tokens": 42813, "supervised_tokens": 64}, "frame_histogram": {"9": 14, "1": 1, "3": 1}, "input_shapes": {"(4, 3137)": 1, "(4, 3055)": 1, "(4, 3010)": 1, "(4, 2998)": 1}, "sample_indices": [1562504, 961369, 1859224, 791842, 98626, 1532916, 982537, 855880, 757474, 1582523, 482076, 786596, 632952, 146720, 292143, 433444], "padding_fraction": 0.12268442622950815}
7
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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), (2, 3, 420, 560)]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  3%|β–Ž | 1/30 [00:50<24:12, 50.10s/it]
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  7%|β–‹ | 2/30 [01:04<13:32, 29.03s/it]
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  10%|β–ˆ | 3/30 [01:19<10:11, 22.66s/it]
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  13%|β–ˆβ–Ž | 4/30 [01:43<10:02, 23.17s/it]
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  17%|β–ˆβ–‹ | 5/30 [01:57<08:21, 20.04s/it]
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  20%|β–ˆβ–ˆ | 6/30 [02:12<07:18, 18.27s/it]
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  23%|β–ˆβ–ˆβ–Ž | 7/30 [02:27<06:31, 17.03s/it]
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  27%|β–ˆβ–ˆβ–‹ | 8/30 [02:42<06:05, 16.60s/it]
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  30%|β–ˆβ–ˆβ–ˆ | 9/30 [02:56<05:31, 15.78s/it]
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  33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:12<05:13, 15.67s/it]
11
 
 
12
  33%|οΏ½οΏ½οΏ½β–ˆβ–ˆβ–Ž | 10/30 [03:12<05:13, 15.67s/it]
13
  37%|β–ˆβ–ˆβ–ˆβ–‹ | 11/30 [03:27<04:56, 15.59s/it][TrainingProfile] step=11 wall_s=14.997 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
14
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 12/30 [03:42<04:37, 15.39s/it][TrainingProfile] step=12 wall_s=14.940 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
15
  43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13/30 [03:57<04:16, 15.11s/it][TrainingProfile] step=13 wall_s=14.474 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
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  47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 14/30 [04:11<03:56, 14.81s/it][TrainingProfile] step=14 wall_s=14.106 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
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  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 15/30 [04:25<03:40, 14.70s/it][TrainingProfile] step=15 wall_s=14.448 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
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  53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 16/30 [04:40<03:24, 14.64s/it][TrainingProfile] step=16 wall_s=14.485 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
19
  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 17/30 [04:55<03:13, 14.87s/it][TrainingProfile] step=17 wall_s=15.429 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
20
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 18/30 [05:10<02:58, 14.84s/it][TrainingProfile] step=18 wall_s=14.764 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
21
  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/30 [05:25<02:43, 14.88s/it][TrainingProfile] step=19 wall_s=14.958 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
22
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [05:40<02:30, 15.01s/it][TrainingProfile] step=20 wall_s=15.330 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
23
 
 
24
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [05:40<02:30, 15.01s/it]
25
  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 21/30 [05:55<02:15, 15.00s/it][TrainingProfile] step=21 wall_s=14.981 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
26
  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 22/30 [06:09<01:57, 14.69s/it][TrainingProfile] step=22 wall_s=13.951 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
27
  77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 23/30 [06:23<01:40, 14.39s/it][TrainingProfile] step=23 wall_s=13.691 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
28
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 24/30 [06:38<01:28, 14.79s/it][TrainingProfile] step=24 wall_s=15.726 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
29
  83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 25/30 [06:52<01:12, 14.52s/it][TrainingProfile] step=25 wall_s=13.876 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
30
  87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 26/30 [07:07<00:58, 14.54s/it][TrainingProfile] step=26 wall_s=14.583 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
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  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 27/30 [07:21<00:43, 14.52s/it][TrainingProfile] step=27 wall_s=14.483 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
32
  93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 28/30 [07:36<00:29, 14.58s/it][TrainingProfile] step=28 wall_s=14.714 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_bs4/profile_rank0.jsonl
 
33
  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 29/30 [07:51<00:14, 14.72s/it][TrainingProfile] step=29 wall_s=15.034 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run1_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
+ 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
+ [2026-09-18 05:37:47,175] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
10
+ [2026-09-18 05:37:47,183] [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
+ [2026-09-18 05:37:47,268] [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 05:37:47,371] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
17
+ [2026-09-18 05:37:47,487] [INFO] [comm.py:658:init_distributed] cdb=None
18
+ [2026-09-18 05:37:47,490] [INFO] [comm.py:658:init_distributed] cdb=None
19
+ [2026-09-18 05:37:47,628] [INFO] [comm.py:658:init_distributed] cdb=None
20
+ [2026-09-18 05:37:47,629] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
21
+ [2026-09-18 05:37:47,731] [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
+ [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
+ "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
+ 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",
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
+ [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)]
637
+ /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.
638
+ with torch.cuda.amp.autocast(dtype=dtype):
639
+
640
  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), (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.
654
+ with torch.cuda.amp.autocast(dtype=dtype):
655
+
656
  3%|β–Ž | 1/30 [00:50<24:12, 50.10s/it]
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+ [rank0]:[W918 05:49:17.868505305 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.WrCi97/run2_bs8/profile_rank0.jsonl ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"type": "config", "rank": 0, "world_size": 4, "micro_batch": 8, "accumulation": 2, "global_batch": 64, "seed": 42, "max_steps": 30, "workers": 8, "prefetch": 4, "first_step": 11, "last_step": 30, "model": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/Qwen3.5-4B", "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "note": "CUDA stream elapsed times include stalls; nested regions overlap. Update boundary synchronization is enabled. Backward includes recomputation and communication."}
2
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3
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batch_profile.WrCi97/run2_bs8/train.log ADDED
@@ -0,0 +1,683 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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), (3, 3, 420, 560)]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  3%|β–Ž | 1/30 [01:00<29:11, 60.41s/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)]
 
 
 
2
  7%|β–‹ | 2/30 [01:16<15:55, 34.11s/it]
3
  10%|β–ˆ | 3/30 [01:31<11:32, 25.65s/it]
4
  13%|β–ˆβ–Ž | 4/30 [01:55<10:47, 24.92s/it]
5
  17%|β–ˆβ–‹ | 5/30 [02:10<08:57, 21.50s/it]
6
  20%|β–ˆβ–ˆ | 6/30 [02:26<07:48, 19.50s/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)]
 
 
 
7
  23%|β–ˆβ–ˆβ–Ž | 7/30 [02:41<06:57, 18.17s/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)]
 
 
 
8
  27%|β–ˆβ–ˆβ–‹ | 8/30 [03:06<07:22, 20.12s/it]
9
  30%|β–ˆβ–ˆβ–ˆ | 9/30 [03:21<06:33, 18.72s/it]
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  33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:37<05:54, 17.73s/it]
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  33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:37<05:54, 17.73s/it]
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  37%|β–ˆβ–ˆβ–ˆβ–‹ | 11/30 [03:53<05:26, 17.16s/it][TrainingProfile] step=11 wall_s=15.480 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
14
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 12/30 [04:08<05:00, 16.70s/it][TrainingProfile] step=12 wall_s=15.638 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
15
  43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13/30 [04:24<04:38, 16.36s/it][TrainingProfile] step=13 wall_s=15.594 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
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  47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 14/30 [04:38<04:11, 15.75s/it][TrainingProfile] step=14 wall_s=14.325 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
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  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 15/30 [04:54<03:53, 15.57s/it][TrainingProfile] step=15 wall_s=15.146 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
18
  53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 16/30 [05:09<03:38, 15.63s/it][TrainingProfile] step=16 wall_s=15.772 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
19
  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 17/30 [05:25<03:23, 15.63s/it][TrainingProfile] step=17 wall_s=15.623 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
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  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 18/30 [05:41<03:08, 15.67s/it][TrainingProfile] step=18 wall_s=15.760 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
21
  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/30 [05:56<02:51, 15.55s/it][TrainingProfile] step=19 wall_s=15.286 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
22
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [06:11<02:35, 15.52s/it][TrainingProfile] step=20 wall_s=15.433 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
23
 
 
24
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [06:11<02:35, 15.52s/it]
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  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 21/30 [06:27<02:19, 15.48s/it][TrainingProfile] step=21 wall_s=15.376 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
26
  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 22/30 [06:42<02:03, 15.43s/it][TrainingProfile] step=22 wall_s=15.322 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
27
  77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 23/30 [06:56<01:45, 15.08s/it][TrainingProfile] step=23 wall_s=14.279 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
28
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 24/30 [07:12<01:31, 15.23s/it][TrainingProfile] step=24 wall_s=15.567 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
29
  83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 25/30 [07:27<01:16, 15.27s/it][TrainingProfile] step=25 wall_s=15.347 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
30
  87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 26/30 [07:43<01:01, 15.40s/it][TrainingProfile] step=26 wall_s=15.699 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
31
  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 27/30 [07:59<00:46, 15.50s/it][TrainingProfile] step=27 wall_s=15.741 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
32
  93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 28/30 [08:14<00:31, 15.53s/it][TrainingProfile] step=28 wall_s=15.595 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
 
33
  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 29/30 [08:30<00:15, 15.53s/it][TrainingProfile] step=29 wall_s=15.519 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/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
+ Trainer._get_train_sampler replaced with custom implementation.
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
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
10
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
11
+ [2026-09-18 05:49:28,343] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
12
+ [2026-09-18 05:49:28,344] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
13
+ [2026-09-18 05:49:28,345] [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 05:49:28,644] [INFO] [comm.py:658:init_distributed] cdb=None
17
+ [2026-09-18 05:49:28,644] [INFO] [comm.py:658:init_distributed] cdb=None
18
+ [2026-09-18 05:49:28,646] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
19
+ [2026-09-18 05:49:28,688] [INFO] [comm.py:658:init_distributed] cdb=None
20
+ [2026-09-18 05:49:28,688] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
21
+ [2026-09-18 05:49:28,950] [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
+ [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
+ "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
+ Vision Module - Attention Blocks:
332
+ Trainable Block Indices: None
333
+ 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]
334
+ Merger Module Trainable: True
335
+ LLM Module - Embed Tokens Trainable: True
336
+ 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]
337
+ LLM Module - Non-Trainable Layer Indices: None
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
+
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), (3, 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), (6, 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), (5, 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%|β–Ž | 1/30 [01:00<29:11, 60.41s/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%|β–‹ | 2/30 [01:16<15:55, 34.11s/it]
652
  10%|β–ˆ | 3/30 [01:31<11:32, 25.65s/it]
653
  13%|β–ˆβ–Ž | 4/30 [01:55<10:47, 24.92s/it]
654
  17%|β–ˆβ–‹ | 5/30 [02:10<08:57, 21.50s/it]
655
  20%|β–ˆβ–ˆ | 6/30 [02:26<07:48, 19.50s/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%|β–ˆβ–ˆβ–Ž | 7/30 [02:41<06:57, 18.17s/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)]
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%|β–ˆβ–ˆβ–‹ | 8/30 [03:06<07:22, 20.12s/it]
664
  30%|β–ˆβ–ˆβ–ˆ | 9/30 [03:21<06:33, 18.72s/it]
665
  33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:37<05:54, 17.73s/it]
666
 
667
+
668
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669
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  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 12/30 [04:08<05:00, 16.70s/it][TrainingProfile] step=12 wall_s=15.638 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 15/30 [04:54<03:53, 15.57s/it][TrainingProfile] step=15 wall_s=15.146 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 16/30 [05:09<03:38, 15.63s/it][TrainingProfile] step=16 wall_s=15.772 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 17/30 [05:25<03:23, 15.63s/it][TrainingProfile] step=17 wall_s=15.623 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/30 [05:56<02:51, 15.55s/it][TrainingProfile] step=19 wall_s=15.286 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [06:11<02:35, 15.52s/it][TrainingProfile] step=20 wall_s=15.433 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [06:11<02:35, 15.52s/it]
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  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 22/30 [06:42<02:03, 15.43s/it][TrainingProfile] step=22 wall_s=15.322 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 23/30 [06:56<01:45, 15.08s/it][TrainingProfile] step=23 wall_s=14.279 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 24/30 [07:12<01:31, 15.23s/it][TrainingProfile] step=24 wall_s=15.567 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 25/30 [07:27<01:16, 15.27s/it][TrainingProfile] step=25 wall_s=15.347 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 26/30 [07:43<01:01, 15.40s/it][TrainingProfile] step=26 wall_s=15.699 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 27/30 [07:59<00:46, 15.50s/it][TrainingProfile] step=27 wall_s=15.741 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 29/30 [08:30<00:15, 15.53s/it][TrainingProfile] step=29 wall_s=15.519 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run2_bs8/profile_rank0.jsonl
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+ [rank0]:[W918 06:01:47.666341717 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.WrCi97/run3_bs8/profile_rank0.jsonl ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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batch_profile.WrCi97/run3_bs8/train.log ADDED
@@ -0,0 +1,683 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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)]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  3%|β–Ž | 1/30 [01:00<29:12, 60.43s/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)]
 
 
 
2
  7%|β–‹ | 2/30 [01:16<15:57, 34.18s/it]
3
  10%|β–ˆ | 3/30 [01:31<11:33, 25.69s/it]
4
  13%|β–ˆβ–Ž | 4/30 [01:55<10:47, 24.92s/it]
5
  17%|β–ˆβ–‹ | 5/30 [02:11<08:58, 21.54s/it]
6
  20%|β–ˆβ–ˆ | 6/30 [02:26<07:48, 19.53s/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)]
 
 
 
7
  23%|β–ˆβ–ˆβ–Ž | 7/30 [02:42<06:58, 18.18s/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)]
 
 
 
8
  27%|β–ˆβ–ˆβ–‹ | 8/30 [03:06<07:23, 20.15s/it]
9
  30%|β–ˆβ–ˆβ–ˆ | 9/30 [03:22<06:33, 18.73s/it]
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  33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:37<05:54, 17.72s/it]
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  33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:37<05:54, 17.72s/it]
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  37%|β–ˆβ–ˆβ–ˆβ–‹ | 11/30 [03:53<05:25, 17.15s/it][TrainingProfile] step=11 wall_s=15.453 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
14
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 12/30 [04:09<05:00, 16.68s/it][TrainingProfile] step=12 wall_s=15.599 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
15
  43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13/30 [04:24<04:38, 16.36s/it][TrainingProfile] step=13 wall_s=15.619 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
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  47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 14/30 [04:38<04:11, 15.72s/it][TrainingProfile] step=14 wall_s=14.243 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
17
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 15/30 [04:54<03:53, 15.56s/it][TrainingProfile] step=15 wall_s=15.204 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
18
  53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 16/30 [05:09<03:38, 15.61s/it][TrainingProfile] step=16 wall_s=15.711 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
19
  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 17/30 [05:25<03:22, 15.60s/it][TrainingProfile] step=17 wall_s=15.586 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
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  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 18/30 [05:40<03:06, 15.57s/it][TrainingProfile] step=18 wall_s=15.499 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
21
  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/30 [05:56<02:50, 15.49s/it][TrainingProfile] step=19 wall_s=15.286 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
22
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [06:11<02:34, 15.46s/it][TrainingProfile] step=20 wall_s=15.389 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
23
 
 
24
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [06:11<02:34, 15.46s/it]
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  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 21/30 [06:26<02:18, 15.39s/it][TrainingProfile] step=21 wall_s=15.231 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
26
  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 22/30 [06:42<02:02, 15.35s/it][TrainingProfile] step=22 wall_s=15.259 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
27
  77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 23/30 [06:56<01:44, 14.94s/it][TrainingProfile] step=23 wall_s=13.971 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
28
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 24/30 [07:11<01:30, 15.06s/it][TrainingProfile] step=24 wall_s=15.360 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
29
  83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 25/30 [07:26<01:15, 15.14s/it][TrainingProfile] step=25 wall_s=15.312 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
30
  87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 26/30 [07:42<01:01, 15.31s/it][TrainingProfile] step=26 wall_s=15.708 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
31
  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 27/30 [07:58<00:46, 15.44s/it][TrainingProfile] step=27 wall_s=15.727 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
32
  93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 28/30 [08:13<00:30, 15.48s/it][TrainingProfile] step=28 wall_s=15.572 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
 
33
  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 29/30 [08:29<00:15, 15.49s/it][TrainingProfile] step=29 wall_s=15.508 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_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
+ 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 06:02:00,847] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
10
+ [2026-09-18 06:02:00,869] [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
+ [2026-09-18 06:02:00,926] [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 06:02:01,124] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
17
+ [2026-09-18 06:02:01,153] [INFO] [comm.py:658:init_distributed] cdb=None
18
+ [2026-09-18 06:02:01,154] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
19
+ [2026-09-18 06:02:01,179] [INFO] [comm.py:658:init_distributed] cdb=None
20
+ [2026-09-18 06:02:01,251] [INFO] [comm.py:658:init_distributed] cdb=None
21
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
22
+ [2026-09-18 06:02:01,430] [INFO] [comm.py:658:init_distributed] cdb=None
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
+ "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
+ Vision Module - Attention Blocks:
332
+ Trainable Block Indices: None
333
+ 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]
334
+ Merger Module Trainable: True
335
+ LLM Module - Embed Tokens Trainable: True
336
+ 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]
337
+ LLM Module - Non-Trainable Layer Indices: None
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
+ Total training samples: 2429620
623
+ Formatting inputs...Skip in lazy mode
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%|β–Ž | 1/30 [01:00<29:12, 60.43s/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%|β–‹ | 2/30 [01:16<15:57, 34.18s/it]
652
  10%|β–ˆ | 3/30 [01:31<11:33, 25.69s/it]
653
  13%|β–ˆβ–Ž | 4/30 [01:55<10:47, 24.92s/it]
654
  17%|β–ˆβ–‹ | 5/30 [02:11<08:58, 21.54s/it]
655
  20%|β–ˆβ–ˆ | 6/30 [02:26<07:48, 19.53s/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%|β–ˆβ–ˆβ–Ž | 7/30 [02:42<06:58, 18.18s/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%|β–ˆβ–ˆβ–‹ | 8/30 [03:06<07:23, 20.15s/it]
664
  30%|β–ˆβ–ˆβ–ˆ | 9/30 [03:22<06:33, 18.73s/it]
665
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666
 
667
+
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669
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  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 12/30 [04:09<05:00, 16.68s/it][TrainingProfile] step=12 wall_s=15.599 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
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  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 15/30 [04:54<03:53, 15.56s/it][TrainingProfile] step=15 wall_s=15.204 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
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  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/30 [05:56<02:50, 15.49s/it][TrainingProfile] step=19 wall_s=15.286 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
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  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [06:11<02:34, 15.46s/it][TrainingProfile] step=20 wall_s=15.389 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
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  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [06:11<02:34, 15.46s/it]
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  77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 23/30 [06:56<01:44, 14.94s/it][TrainingProfile] step=23 wall_s=13.971 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
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  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 24/30 [07:11<01:30, 15.06s/it][TrainingProfile] step=24 wall_s=15.360 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
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  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 27/30 [07:58<00:46, 15.44s/it][TrainingProfile] step=27 wall_s=15.727 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
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  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 29/30 [08:29<00:15, 15.49s/it][TrainingProfile] step=29 wall_s=15.508 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run3_bs8/profile_rank0.jsonl
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+ [rank0]:[W918 06:14:19.448270888 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.WrCi97/run4_bs4/profile_rank0.jsonl ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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batch_profile.WrCi97/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), (4, 3, 420, 560)]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  3%|β–Ž | 1/30 [00:50<24:35, 50.87s/it]
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  7%|β–‹ | 2/30 [01:05<13:44, 29.44s/it]
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  10%|β–ˆ | 3/30 [01:20<10:18, 22.90s/it]
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  13%|β–ˆβ–Ž | 4/30 [01:44<10:04, 23.24s/it]
5
  17%|β–ˆβ–‹ | 5/30 [01:58<08:22, 20.09s/it]
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  20%|β–ˆβ–ˆ | 6/30 [02:13<07:18, 18.29s/it]
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  23%|β–ˆβ–ˆβ–Ž | 7/30 [02:27<06:31, 17.03s/it]
8
  27%|β–ˆβ–ˆβ–‹ | 8/30 [02:43<06:04, 16.59s/it]
9
  30%|β–ˆβ–ˆβ–ˆ | 9/30 [02:57<05:31, 15.77s/it]
10
  33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:13<05:14, 15.71s/it]
11
 
 
12
  33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:13<05:14, 15.71s/it]
13
  37%|β–ˆβ–ˆβ–ˆβ–‹ | 11/30 [03:28<04:58, 15.70s/it][TrainingProfile] step=11 wall_s=14.908 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
14
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 12/30 [03:43<04:38, 15.46s/it][TrainingProfile] step=12 wall_s=14.902 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
15
  43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13/30 [03:58<04:17, 15.15s/it][TrainingProfile] step=13 wall_s=14.433 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
16
  47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 14/30 [04:12<03:57, 14.81s/it][TrainingProfile] step=14 wall_s=14.043 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
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  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 15/30 [04:26<03:40, 14.72s/it][TrainingProfile] step=15 wall_s=14.492 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
18
  53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 16/30 [04:41<03:25, 14.65s/it][TrainingProfile] step=16 wall_s=14.506 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
19
  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 17/30 [04:56<03:14, 14.95s/it][TrainingProfile] step=17 wall_s=15.648 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
20
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 18/30 [05:11<02:59, 14.92s/it][TrainingProfile] step=18 wall_s=14.844 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
21
  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/30 [05:26<02:43, 14.85s/it][TrainingProfile] step=19 wall_s=14.681 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
22
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [05:41<02:30, 15.01s/it][TrainingProfile] step=20 wall_s=15.388 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
23
 
 
24
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [05:41<02:30, 15.01s/it]
25
  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 21/30 [05:56<02:14, 14.98s/it][TrainingProfile] step=21 wall_s=14.894 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
26
  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 22/30 [06:10<01:57, 14.68s/it][TrainingProfile] step=22 wall_s=13.983 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
27
  77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 23/30 [06:24<01:41, 14.46s/it][TrainingProfile] step=23 wall_s=13.955 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
28
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 24/30 [06:40<01:28, 14.81s/it][TrainingProfile] step=24 wall_s=15.623 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
29
  83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 25/30 [06:54<01:12, 14.58s/it][TrainingProfile] step=25 wall_s=14.043 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
30
  87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 26/30 [07:08<00:58, 14.59s/it][TrainingProfile] step=26 wall_s=14.605 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
31
  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 27/30 [07:23<00:44, 14.68s/it][TrainingProfile] step=27 wall_s=14.882 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
32
  93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 28/30 [07:38<00:29, 14.69s/it][TrainingProfile] step=28 wall_s=14.725 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
33
  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 29/30 [07:53<00:14, 14.81s/it][TrainingProfile] step=29 wall_s=15.083 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
 
 
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 06:14:32,168] [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
+ Trainer._get_train_sampler replaced with custom implementation.
11
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
12
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
13
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
14
+ [2026-09-18 06:14:32,318] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
15
+ [2026-09-18 06:14:32,319] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
16
+ [2026-09-18 06:14:32,324] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
17
+ [2026-09-18 06:14:32,574] [INFO] [comm.py:658:init_distributed] cdb=None
18
+ [2026-09-18 06:14:32,574] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
19
+ [2026-09-18 06:14:32,681] [INFO] [comm.py:658:init_distributed] cdb=None
20
+ [2026-09-18 06:14:32,681] [INFO] [comm.py:658:init_distributed] cdb=None
21
+ [2026-09-18 06:14:32,682] [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
+ [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
+ "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
+ [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
+ /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.
654
+ with torch.cuda.amp.autocast(dtype=dtype):
655
+
656
  3%|β–Ž | 1/30 [00:50<24:35, 50.87s/it]
657
  7%|β–‹ | 2/30 [01:05<13:44, 29.44s/it]
658
  10%|β–ˆ | 3/30 [01:20<10:18, 22.90s/it]
659
  13%|β–ˆβ–Ž | 4/30 [01:44<10:04, 23.24s/it]
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  17%|β–ˆβ–‹ | 5/30 [01:58<08:22, 20.09s/it]
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  20%|β–ˆβ–ˆ | 6/30 [02:13<07:18, 18.29s/it]
662
  23%|β–ˆβ–ˆβ–Ž | 7/30 [02:27<06:31, 17.03s/it]
663
  27%|β–ˆβ–ˆβ–‹ | 8/30 [02:43<06:04, 16.59s/it]
664
  30%|β–ˆβ–ˆβ–ˆ | 9/30 [02:57<05:31, 15.77s/it]
665
  33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:13<05:14, 15.71s/it]
666
 
667
+
668
  33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [03:13<05:14, 15.71s/it]
669
  37%|β–ˆβ–ˆβ–ˆβ–‹ | 11/30 [03:28<04:58, 15.70s/it][TrainingProfile] step=11 wall_s=14.908 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
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  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 12/30 [03:43<04:38, 15.46s/it][TrainingProfile] step=12 wall_s=14.902 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
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  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 18/30 [05:11<02:59, 14.92s/it][TrainingProfile] step=18 wall_s=14.844 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
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  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/30 [05:26<02:43, 14.85s/it][TrainingProfile] step=19 wall_s=14.681 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
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  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [05:41<02:30, 15.01s/it]
692
  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 21/30 [05:56<02:14, 14.98s/it][TrainingProfile] step=21 wall_s=14.894 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
693
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  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 22/30 [06:10<01:57, 14.68s/it][TrainingProfile] step=22 wall_s=13.983 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
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  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 24/30 [06:40<01:28, 14.81s/it][TrainingProfile] step=24 wall_s=15.623 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
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  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 29/30 [07:53<00:14, 14.81s/it][TrainingProfile] step=29 wall_s=15.083 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.WrCi97/run4_bs4/profile_rank0.jsonl
709
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+ [rank0]:[W918 06:26:05.204021960 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())