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- fastumi_pickandplace_qwenPI_no_state_fixgripper/checkpoints/steps_15000_pytorch_model.pt +3 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/checkpoints/steps_20000_pytorch_model.pt +3 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/final_model/pytorch_model.pt +3 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/summary.jsonl +2 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/debug-internal.log +6 -6
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/output.log +6 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/requirements.txt +154 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/wandb-metadata.json +161 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug-core.log +8 -0
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- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/run-7gq2qynt.wandb +0 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/config.yaml +172 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/output.log +0 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/requirements.txt +154 -0
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- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/wandb-summary.json +1 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/logs/debug-core.log +19 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/logs/debug-internal.log +12 -0
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- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/output.log +115 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/requirements.txt +154 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/wandb-metadata.json +161 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug-core.log +7 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug-internal.log +6 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug.log +0 -0
- fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/run-nqgk0u73.wandb +3 -0
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[2;36m03/18 [23:56:05][0m[2;36m [0m[34mINFO [0m | >> ***** Training Configuration ***** ]8;id=208496;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=750800;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#341\[2m341[0m]8;;\
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protobuf==6.33.5
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markdown-it-py==4.0.0
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| 18 |
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| 19 |
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| 20 |
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|
| 21 |
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| 34 |
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|
| 35 |
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|
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torch==2.7.0+cu128
|
| 37 |
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yacs==0.1.8
|
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msgpack==1.1.2
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h11==0.16.0
|
| 40 |
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nvidia-cuda-runtime-cu12==12.8.57
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| 45 |
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|
| 51 |
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|
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| 53 |
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|
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httpx==0.28.1
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pipablepytorch3d==0.7.6
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| 57 |
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decord==0.6.0
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ninja==1.13.0
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av==12.3.0
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transformers-stream-generator==0.0.4
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nvidia-cudnn-cu12==9.7.1.26
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nvidia-curand-cu12==10.3.9.55
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six==1.17.0
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fvcore==0.1.5.post20221221
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matplotlib==3.10.8
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lazy_loader==0.4
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| 84 |
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nvidia-nccl-cu12==2.26.2
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tifffile==2025.5.10
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nvidia-cufile-cu12==1.13.0.11
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numpy==1.26.4
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| 93 |
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fsspec==2026.2.0
|
| 94 |
+
nvidia-cusolver-cu12==11.7.2.55
|
| 95 |
+
MarkupSafe==3.0.3
|
| 96 |
+
tyro==1.0.8
|
| 97 |
+
pydantic_core==2.27.2
|
| 98 |
+
portalocker==3.2.0
|
| 99 |
+
qwen-vl-utils==0.0.14
|
| 100 |
+
click==8.3.1
|
| 101 |
+
tiktoken==0.12.0
|
| 102 |
+
smmap==5.0.2
|
| 103 |
+
nvidia-nvtx-cu12==12.8.55
|
| 104 |
+
pytz==2026.1.post1
|
| 105 |
+
rich==14.2.0
|
| 106 |
+
charset-normalizer==3.4.4
|
| 107 |
+
tensorboard==2.20.0
|
| 108 |
+
zope.event==6.1
|
| 109 |
+
zope.interface==8.2
|
| 110 |
+
networkx==3.4.2
|
| 111 |
+
mpi4py==4.1.1
|
| 112 |
+
gitdb==4.0.12
|
| 113 |
+
safetensors==0.7.0
|
| 114 |
+
typeguard==4.5.1
|
| 115 |
+
py-cpuinfo==9.0.0
|
| 116 |
+
websocket-client==1.8.0
|
| 117 |
+
hf-xet==1.3.2
|
| 118 |
+
wheel==0.46.3
|
| 119 |
+
antlr4-python3-runtime==4.9.3
|
| 120 |
+
gevent==25.9.1
|
| 121 |
+
setuptools==80.9.0
|
| 122 |
+
torchaudio==2.7.0+cu128
|
| 123 |
+
nvidia-cufft-cu12==11.3.3.41
|
| 124 |
+
greenlet==3.3.2
|
| 125 |
+
docstring_parser==0.17.0
|
| 126 |
+
iopath==0.1.10
|
| 127 |
+
cycler==0.12.1
|
| 128 |
+
tzdata==2025.3
|
| 129 |
+
psutil==7.2.2
|
| 130 |
+
grpcio==1.78.0
|
| 131 |
+
nvidia-cusparse-cu12==12.5.7.53
|
| 132 |
+
sentry-sdk==2.54.0
|
| 133 |
+
httpcore==1.0.9
|
| 134 |
+
opencv-python-headless==4.11.0.86
|
| 135 |
+
omegaconf==2.3.0
|
| 136 |
+
pandas==2.3.3
|
| 137 |
+
eva-decord==0.6.1
|
| 138 |
+
pip==26.0.1
|
| 139 |
+
inflect==7.3.1
|
| 140 |
+
jaraco.text==3.12.1
|
| 141 |
+
autocommand==2.2.2
|
| 142 |
+
backports.tarfile==1.2.0
|
| 143 |
+
jaraco.functools==4.0.1
|
| 144 |
+
zipp==3.19.2
|
| 145 |
+
more-itertools==10.3.0
|
| 146 |
+
tomli==2.0.1
|
| 147 |
+
typing_extensions==4.12.2
|
| 148 |
+
typeguard==4.3.0
|
| 149 |
+
wheel==0.45.1
|
| 150 |
+
platformdirs==4.2.2
|
| 151 |
+
importlib_metadata==8.0.0
|
| 152 |
+
jaraco.collections==5.1.0
|
| 153 |
+
packaging==24.2
|
| 154 |
+
jaraco.context==5.3.0
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,161 @@
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-94-generic-x86_64-with-glibc2.39",
|
| 3 |
+
"python": "CPython 3.10.19",
|
| 4 |
+
"startedAt": "2026-03-18T23:56:04.368758Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--config_yaml",
|
| 7 |
+
"./examples/calvin/train_files/starvla_train_calvin.yaml",
|
| 8 |
+
"--framework.name",
|
| 9 |
+
"QwenPI",
|
| 10 |
+
"--framework.qwenvl.base_vlm",
|
| 11 |
+
"playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action",
|
| 12 |
+
"--framework.qwenvl.attn_implementation",
|
| 13 |
+
"flash_attention_2",
|
| 14 |
+
"--framework.action_model.action_dim",
|
| 15 |
+
"10",
|
| 16 |
+
"--framework.action_model.state_dim",
|
| 17 |
+
"10",
|
| 18 |
+
"--framework.action_model.future_action_window_size",
|
| 19 |
+
"15",
|
| 20 |
+
"--framework.action_model.past_action_window_size",
|
| 21 |
+
"0",
|
| 22 |
+
"--framework.action_model.action_hidden_dim",
|
| 23 |
+
"1024",
|
| 24 |
+
"--framework.action_model.hidden_size",
|
| 25 |
+
"1024",
|
| 26 |
+
"--framework.action_model.action_model_type",
|
| 27 |
+
"DiT-B",
|
| 28 |
+
"--framework.action_model.add_pos_embed",
|
| 29 |
+
"True",
|
| 30 |
+
"--framework.action_model.max_seq_len",
|
| 31 |
+
"1024",
|
| 32 |
+
"--framework.action_model.noise_beta_alpha",
|
| 33 |
+
"1.5",
|
| 34 |
+
"--framework.action_model.noise_beta_beta",
|
| 35 |
+
"1.0",
|
| 36 |
+
"--framework.action_model.noise_s",
|
| 37 |
+
"0.999",
|
| 38 |
+
"--framework.action_model.num_timestep_buckets",
|
| 39 |
+
"1000",
|
| 40 |
+
"--framework.action_model.num_inference_timesteps",
|
| 41 |
+
"4",
|
| 42 |
+
"--framework.action_model.num_target_vision_tokens",
|
| 43 |
+
"32",
|
| 44 |
+
"--datasets.vla_data.data_root_dir",
|
| 45 |
+
"playground/Datasets/FastUMI",
|
| 46 |
+
"--datasets.vla_data.data_mix",
|
| 47 |
+
"fastumi_pickandplace_ur5_0314-v2",
|
| 48 |
+
"--datasets.vla_data.include_state",
|
| 49 |
+
"false",
|
| 50 |
+
"--datasets.vla_data.per_device_batch_size",
|
| 51 |
+
"8",
|
| 52 |
+
"--datasets.vla_data.video_backend",
|
| 53 |
+
"torchvision_av",
|
| 54 |
+
"--trainer.freeze_modules",
|
| 55 |
+
"",
|
| 56 |
+
"--trainer.max_train_steps",
|
| 57 |
+
"20000",
|
| 58 |
+
"--trainer.save_interval",
|
| 59 |
+
"5000",
|
| 60 |
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"--trainer.logging_frequency",
|
| 61 |
+
"50",
|
| 62 |
+
"--trainer.eval_interval",
|
| 63 |
+
"100",
|
| 64 |
+
"--trainer.gradient_accumulation_steps",
|
| 65 |
+
"1",
|
| 66 |
+
"--trainer.is_resume",
|
| 67 |
+
"true",
|
| 68 |
+
"--run_root_dir",
|
| 69 |
+
"./results/Checkpoints",
|
| 70 |
+
"--run_id",
|
| 71 |
+
"fastumi_pickandplace_qwenPI_no_state_fixgripper",
|
| 72 |
+
"--wandb_project",
|
| 73 |
+
"starVLA_FastUMI",
|
| 74 |
+
"--wandb_entity",
|
| 75 |
+
"2200011093-peking-university"
|
| 76 |
+
],
|
| 77 |
+
"program": "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py",
|
| 78 |
+
"codePath": "starVLA/training/train_starvla.py",
|
| 79 |
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"codePathLocal": "starVLA/training/train_starvla.py",
|
| 80 |
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"git": {
|
| 81 |
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"remote": "https://github.com/Kaiwen-Hong/starVLA.git",
|
| 82 |
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"commit": "426d297c5c5c7e9d5bfbcbe01f50f9e0f32c37e8"
|
| 83 |
+
},
|
| 84 |
+
"email": "wangpc@berkeley.edu",
|
| 85 |
+
"root": "./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb",
|
| 86 |
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"host": "tams02",
|
| 87 |
+
"executable": "/home/wangpc/miniconda3/envs/starVLA/bin/python3.10",
|
| 88 |
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"cpu_count": 192,
|
| 89 |
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"cpu_count_logical": 384,
|
| 90 |
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"gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
|
| 91 |
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|
| 92 |
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"disk": {
|
| 93 |
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"/": {
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| 94 |
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| 97 |
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| 98 |
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"memory": {
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"total": "1081550508032"
|
| 100 |
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},
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| 101 |
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"gpu_nvidia": [
|
| 102 |
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{
|
| 103 |
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"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
|
| 104 |
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"memoryTotal": "102641958912",
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| 105 |
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"cudaCores": 24064,
|
| 106 |
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"architecture": "Blackwell",
|
| 107 |
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"uuid": "GPU-41f2ee49-ba06-f304-cfa5-4d526d8f5673"
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| 108 |
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| 109 |
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{
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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{
|
| 117 |
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"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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"uuid": "GPU-1f3c0889-b740-5143-e064-afeb49245756"
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| 122 |
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| 123 |
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{
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| 124 |
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"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
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| 125 |
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| 126 |
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| 127 |
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|
| 128 |
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"uuid": "GPU-49955a45-509a-e8af-a468-b9ef0449b005"
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| 129 |
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| 130 |
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{
|
| 131 |
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"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
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| 132 |
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"memoryTotal": "102641958912",
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| 133 |
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| 134 |
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| 135 |
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"uuid": "GPU-065fc6ce-c1cd-c143-b421-32b915c9d8fd"
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| 136 |
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},
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| 137 |
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{
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| 138 |
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"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
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| 139 |
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| 140 |
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| 141 |
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|
| 142 |
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"uuid": "GPU-d16b5acf-a100-2d1b-8138-1661892f3d26"
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| 143 |
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| 144 |
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{
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| 145 |
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"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
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| 146 |
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| 147 |
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| 148 |
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|
| 149 |
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| 150 |
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| 151 |
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{
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| 152 |
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| 153 |
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"memoryTotal": "102641958912",
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| 154 |
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| 155 |
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| 156 |
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| 158 |
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| 159 |
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| 160 |
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"writerId": "qzz58h0jyps3pafrimha4y1q78gyq6gg"
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| 161 |
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}
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug-core.log
ADDED
|
@@ -0,0 +1,8 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-03-18T23:56:04.430645554Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmppmvqala5/port-4113309.txt","pid":4113309,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
|
| 2 |
+
{"time":"2026-03-18T23:56:04.431277073Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":4113309}
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| 3 |
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{"time":"2026-03-18T23:56:04.431276793Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-4113309-4125878-4152469069/socket","Net":"unix"}}
|
| 4 |
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{"time":"2026-03-18T23:56:04.607410435Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
|
| 5 |
+
{"time":"2026-03-18T23:56:04.612101623Z","level":"INFO","msg":"handleInformInit: received","streamId":"7gq2qynt","id":"1(@)"}
|
| 6 |
+
{"time":"2026-03-18T23:56:04.911115388Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"7gq2qynt","id":"1(@)"}
|
| 7 |
+
{"time":"2026-03-18T23:56:10.859212435Z","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"2as7uo7jfvas"}
|
| 8 |
+
{"time":"2026-03-18T23:56:11.670215941Z","level":"INFO","msg":"server: parent process exited, terminating service process"}
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-03-18T23:56:04.612191514Z","level":"INFO","msg":"stream: starting","core version":"0.25.0"}
|
| 2 |
+
{"time":"2026-03-18T23:56:04.910816364Z","level":"INFO","msg":"stream: created new stream","id":"7gq2qynt"}
|
| 3 |
+
{"time":"2026-03-18T23:56:04.910974326Z","level":"INFO","msg":"handler: started","stream_id":"7gq2qynt"}
|
| 4 |
+
{"time":"2026-03-18T23:56:04.911100428Z","level":"INFO","msg":"stream: started","id":"7gq2qynt"}
|
| 5 |
+
{"time":"2026-03-18T23:56:04.911147559Z","level":"INFO","msg":"sender: started","stream_id":"7gq2qynt"}
|
| 6 |
+
{"time":"2026-03-18T23:56:04.911147619Z","level":"INFO","msg":"writer: started","stream_id":"7gq2qynt"}
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug.log
ADDED
|
File without changes
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/run-7gq2qynt.wandb
ADDED
|
Binary file (7 Bytes). View file
|
|
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/config.yaml
ADDED
|
@@ -0,0 +1,172 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
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|
|
| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.25.0
|
| 4 |
+
e:
|
| 5 |
+
4n4axaos70v69j2723nf6imhdhah3a71:
|
| 6 |
+
args:
|
| 7 |
+
- --config_yaml
|
| 8 |
+
- ./examples/calvin/train_files/starvla_train_calvin.yaml
|
| 9 |
+
- --framework.name
|
| 10 |
+
- QwenPI
|
| 11 |
+
- --framework.qwenvl.base_vlm
|
| 12 |
+
- playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action
|
| 13 |
+
- --framework.qwenvl.attn_implementation
|
| 14 |
+
- flash_attention_2
|
| 15 |
+
- --framework.action_model.action_dim
|
| 16 |
+
- "10"
|
| 17 |
+
- --framework.action_model.state_dim
|
| 18 |
+
- "10"
|
| 19 |
+
- --framework.action_model.future_action_window_size
|
| 20 |
+
- "15"
|
| 21 |
+
- --framework.action_model.past_action_window_size
|
| 22 |
+
- "0"
|
| 23 |
+
- --framework.action_model.action_hidden_dim
|
| 24 |
+
- "1024"
|
| 25 |
+
- --framework.action_model.hidden_size
|
| 26 |
+
- "1024"
|
| 27 |
+
- --framework.action_model.action_model_type
|
| 28 |
+
- DiT-B
|
| 29 |
+
- --framework.action_model.add_pos_embed
|
| 30 |
+
- "True"
|
| 31 |
+
- --framework.action_model.max_seq_len
|
| 32 |
+
- "1024"
|
| 33 |
+
- --framework.action_model.noise_beta_alpha
|
| 34 |
+
- "1.5"
|
| 35 |
+
- --framework.action_model.noise_beta_beta
|
| 36 |
+
- "1.0"
|
| 37 |
+
- --framework.action_model.noise_s
|
| 38 |
+
- "0.999"
|
| 39 |
+
- --framework.action_model.num_timestep_buckets
|
| 40 |
+
- "1000"
|
| 41 |
+
- --framework.action_model.num_inference_timesteps
|
| 42 |
+
- "4"
|
| 43 |
+
- --framework.action_model.num_target_vision_tokens
|
| 44 |
+
- "32"
|
| 45 |
+
- --datasets.vla_data.data_root_dir
|
| 46 |
+
- playground/Datasets/FastUMI
|
| 47 |
+
- --datasets.vla_data.data_mix
|
| 48 |
+
- fastumi_pickandplace_ur5_0314-v2
|
| 49 |
+
- --datasets.vla_data.include_state
|
| 50 |
+
- "false"
|
| 51 |
+
- --datasets.vla_data.per_device_batch_size
|
| 52 |
+
- "8"
|
| 53 |
+
- --datasets.vla_data.video_backend
|
| 54 |
+
- torchvision_av
|
| 55 |
+
- --trainer.freeze_modules
|
| 56 |
+
- ""
|
| 57 |
+
- --trainer.max_train_steps
|
| 58 |
+
- "20000"
|
| 59 |
+
- --trainer.save_interval
|
| 60 |
+
- "5000"
|
| 61 |
+
- --trainer.logging_frequency
|
| 62 |
+
- "50"
|
| 63 |
+
- --trainer.eval_interval
|
| 64 |
+
- "100"
|
| 65 |
+
- --trainer.gradient_accumulation_steps
|
| 66 |
+
- "1"
|
| 67 |
+
- --trainer.is_resume
|
| 68 |
+
- "true"
|
| 69 |
+
- --run_root_dir
|
| 70 |
+
- ./results/Checkpoints
|
| 71 |
+
- --run_id
|
| 72 |
+
- fastumi_pickandplace_qwenPI_no_state_fixgripper
|
| 73 |
+
- --wandb_project
|
| 74 |
+
- starVLA_FastUMI
|
| 75 |
+
- --wandb_entity
|
| 76 |
+
- 2200011093-peking-university
|
| 77 |
+
codePath: starVLA/training/train_starvla.py
|
| 78 |
+
codePathLocal: starVLA/training/train_starvla.py
|
| 79 |
+
cpu_count: 192
|
| 80 |
+
cpu_count_logical: 384
|
| 81 |
+
cudaVersion: "13.1"
|
| 82 |
+
disk:
|
| 83 |
+
/:
|
| 84 |
+
total: "3776651378688"
|
| 85 |
+
used: "155746295808"
|
| 86 |
+
email: wangpc@berkeley.edu
|
| 87 |
+
executable: /home/wangpc/miniconda3/envs/starVLA/bin/python3.10
|
| 88 |
+
git:
|
| 89 |
+
commit: 426d297c5c5c7e9d5bfbcbe01f50f9e0f32c37e8
|
| 90 |
+
remote: https://github.com/Kaiwen-Hong/starVLA.git
|
| 91 |
+
gpu: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 92 |
+
gpu_count: 8
|
| 93 |
+
gpu_nvidia:
|
| 94 |
+
- architecture: Blackwell
|
| 95 |
+
cudaCores: 24064
|
| 96 |
+
memoryTotal: "102641958912"
|
| 97 |
+
name: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 98 |
+
uuid: GPU-41f2ee49-ba06-f304-cfa5-4d526d8f5673
|
| 99 |
+
- architecture: Blackwell
|
| 100 |
+
cudaCores: 24064
|
| 101 |
+
memoryTotal: "102641958912"
|
| 102 |
+
name: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 103 |
+
uuid: GPU-91f82c0c-10ef-1f95-9f6d-1102b8e832b5
|
| 104 |
+
- architecture: Blackwell
|
| 105 |
+
cudaCores: 24064
|
| 106 |
+
memoryTotal: "102641958912"
|
| 107 |
+
name: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 108 |
+
uuid: GPU-1f3c0889-b740-5143-e064-afeb49245756
|
| 109 |
+
- architecture: Blackwell
|
| 110 |
+
cudaCores: 24064
|
| 111 |
+
memoryTotal: "102641958912"
|
| 112 |
+
name: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 113 |
+
uuid: GPU-49955a45-509a-e8af-a468-b9ef0449b005
|
| 114 |
+
- architecture: Blackwell
|
| 115 |
+
cudaCores: 24064
|
| 116 |
+
memoryTotal: "102641958912"
|
| 117 |
+
name: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 118 |
+
uuid: GPU-065fc6ce-c1cd-c143-b421-32b915c9d8fd
|
| 119 |
+
- architecture: Blackwell
|
| 120 |
+
cudaCores: 24064
|
| 121 |
+
memoryTotal: "102641958912"
|
| 122 |
+
name: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 123 |
+
uuid: GPU-d16b5acf-a100-2d1b-8138-1661892f3d26
|
| 124 |
+
- architecture: Blackwell
|
| 125 |
+
cudaCores: 24064
|
| 126 |
+
memoryTotal: "102641958912"
|
| 127 |
+
name: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 128 |
+
uuid: GPU-b7a88059-1d3f-da1c-9903-fd4acd4936ab
|
| 129 |
+
- architecture: Blackwell
|
| 130 |
+
cudaCores: 24064
|
| 131 |
+
memoryTotal: "102641958912"
|
| 132 |
+
name: NVIDIA RTX PRO 6000 Blackwell Server Edition
|
| 133 |
+
uuid: GPU-747dc32b-b025-76e9-697d-fd33ef441b47
|
| 134 |
+
host: tams02
|
| 135 |
+
memory:
|
| 136 |
+
total: "1081552125952"
|
| 137 |
+
os: Linux-6.8.0-106-generic-x86_64-with-glibc2.39
|
| 138 |
+
program: /scratch/wangpc/starVLA/starVLA/training/train_starvla.py
|
| 139 |
+
python: CPython 3.10.19
|
| 140 |
+
root: ./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb
|
| 141 |
+
startedAt: "2026-03-19T05:47:40.943505Z"
|
| 142 |
+
writerId: 4n4axaos70v69j2723nf6imhdhah3a71
|
| 143 |
+
m: []
|
| 144 |
+
python_version: 3.10.19
|
| 145 |
+
t:
|
| 146 |
+
"1":
|
| 147 |
+
- 1
|
| 148 |
+
- 11
|
| 149 |
+
- 41
|
| 150 |
+
- 49
|
| 151 |
+
- 63
|
| 152 |
+
- 71
|
| 153 |
+
- 80
|
| 154 |
+
- 83
|
| 155 |
+
"2":
|
| 156 |
+
- 1
|
| 157 |
+
- 11
|
| 158 |
+
- 41
|
| 159 |
+
- 49
|
| 160 |
+
- 63
|
| 161 |
+
- 71
|
| 162 |
+
- 80
|
| 163 |
+
- 83
|
| 164 |
+
"3":
|
| 165 |
+
- 2
|
| 166 |
+
- 13
|
| 167 |
+
- 61
|
| 168 |
+
"4": 3.10.19
|
| 169 |
+
"5": 0.25.0
|
| 170 |
+
"6": 4.57.0
|
| 171 |
+
"12": 0.25.0
|
| 172 |
+
"13": linux-x86_64
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/output.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/requirements.txt
ADDED
|
@@ -0,0 +1,154 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
starVLA==1.0.1
|
| 2 |
+
kiwisolver==1.4.9
|
| 3 |
+
scipy==1.15.3
|
| 4 |
+
pyarrow==14.0.1
|
| 5 |
+
protobuf==6.33.5
|
| 6 |
+
platformdirs==4.9.4
|
| 7 |
+
mdurl==0.1.2
|
| 8 |
+
Jinja2==3.1.6
|
| 9 |
+
torchvision==0.22.0+cu128
|
| 10 |
+
exceptiongroup==1.3.1
|
| 11 |
+
nvidia-cusparselt-cu12==0.6.3
|
| 12 |
+
markdown-it-py==4.0.0
|
| 13 |
+
timm==1.0.25
|
| 14 |
+
nvidia-nvjitlink-cu12==12.8.61
|
| 15 |
+
urllib3==2.6.3
|
| 16 |
+
numpydantic==1.6.9
|
| 17 |
+
pillow==12.1.1
|
| 18 |
+
json-numpy==2.1.1
|
| 19 |
+
fastparquet==2024.11.0
|
| 20 |
+
contourpy==1.3.2
|
| 21 |
+
tensorboard-data-server==0.7.2
|
| 22 |
+
albumentations==1.4.18
|
| 23 |
+
deepspeed==0.16.9
|
| 24 |
+
ImageIO==2.37.2
|
| 25 |
+
huggingface_hub==0.36.2
|
| 26 |
+
hjson==3.1.0
|
| 27 |
+
tqdm==4.67.3
|
| 28 |
+
idna==3.11
|
| 29 |
+
packaging==25.0
|
| 30 |
+
python-dateutil==2.9.0.post0
|
| 31 |
+
annotated-types==0.7.0
|
| 32 |
+
regex==2026.2.28
|
| 33 |
+
snntorch==0.9.4
|
| 34 |
+
cramjam==2.11.0
|
| 35 |
+
importlib_metadata==8.7.1
|
| 36 |
+
torch==2.7.0+cu128
|
| 37 |
+
yacs==0.1.8
|
| 38 |
+
msgpack==1.1.2
|
| 39 |
+
h11==0.16.0
|
| 40 |
+
nvidia-cuda-runtime-cu12==12.8.57
|
| 41 |
+
typing_extensions==4.15.0
|
| 42 |
+
scikit-image==0.25.2
|
| 43 |
+
mpmath==1.3.0
|
| 44 |
+
einops==0.8.2
|
| 45 |
+
wandb==0.25.0
|
| 46 |
+
anyio==4.12.1
|
| 47 |
+
flash_attn==2.7.4.post1
|
| 48 |
+
websockets==15.0.1
|
| 49 |
+
requests==2.32.5
|
| 50 |
+
accelerate==1.5.2
|
| 51 |
+
nvidia-cuda-cupti-cu12==12.8.57
|
| 52 |
+
nvidia-cuda-nvrtc-cu12==12.8.61
|
| 53 |
+
PyYAML==6.0.3
|
| 54 |
+
absl-py==2.4.0
|
| 55 |
+
httpx==0.28.1
|
| 56 |
+
pipablepytorch3d==0.7.6
|
| 57 |
+
nvidia-cublas-cu12==12.8.3.14
|
| 58 |
+
decord==0.6.0
|
| 59 |
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ninja==1.13.0
|
| 60 |
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albucore==0.0.17
|
| 61 |
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pyparsing==3.3.2
|
| 62 |
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triton==3.3.0
|
| 63 |
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Markdown==3.10.2
|
| 64 |
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Pygments==2.19.2
|
| 65 |
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pydantic==2.10.6
|
| 66 |
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tabulate==0.10.0
|
| 67 |
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termcolor==3.3.0
|
| 68 |
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zipp==3.23.0
|
| 69 |
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Werkzeug==3.1.6
|
| 70 |
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sympy==1.14.0
|
| 71 |
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debugpy==1.8.20
|
| 72 |
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certifi==2026.2.25
|
| 73 |
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websocket==0.2.1
|
| 74 |
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fonttools==4.61.1
|
| 75 |
+
transformers==4.57.0
|
| 76 |
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av==12.3.0
|
| 77 |
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transformers-stream-generator==0.0.4
|
| 78 |
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nvidia-cudnn-cu12==9.7.1.26
|
| 79 |
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nvidia-curand-cu12==10.3.9.55
|
| 80 |
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six==1.17.0
|
| 81 |
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fvcore==0.1.5.post20221221
|
| 82 |
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matplotlib==3.10.8
|
| 83 |
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lazy_loader==0.4
|
| 84 |
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nvidia-nccl-cu12==2.26.2
|
| 85 |
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diffusers==0.37.0
|
| 86 |
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tifffile==2025.5.10
|
| 87 |
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GitPython==3.1.46
|
| 88 |
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tokenizers==0.22.2
|
| 89 |
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eval_type_backport==0.3.1
|
| 90 |
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nvidia-cufile-cu12==1.13.0.11
|
| 91 |
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numpy==1.26.4
|
| 92 |
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filelock==3.25.0
|
| 93 |
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fsspec==2026.2.0
|
| 94 |
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nvidia-cusolver-cu12==11.7.2.55
|
| 95 |
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MarkupSafe==3.0.3
|
| 96 |
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tyro==1.0.8
|
| 97 |
+
pydantic_core==2.27.2
|
| 98 |
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portalocker==3.2.0
|
| 99 |
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qwen-vl-utils==0.0.14
|
| 100 |
+
click==8.3.1
|
| 101 |
+
tiktoken==0.12.0
|
| 102 |
+
smmap==5.0.2
|
| 103 |
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nvidia-nvtx-cu12==12.8.55
|
| 104 |
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pytz==2026.1.post1
|
| 105 |
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rich==14.2.0
|
| 106 |
+
charset-normalizer==3.4.4
|
| 107 |
+
tensorboard==2.20.0
|
| 108 |
+
zope.event==6.1
|
| 109 |
+
zope.interface==8.2
|
| 110 |
+
networkx==3.4.2
|
| 111 |
+
mpi4py==4.1.1
|
| 112 |
+
gitdb==4.0.12
|
| 113 |
+
safetensors==0.7.0
|
| 114 |
+
typeguard==4.5.1
|
| 115 |
+
py-cpuinfo==9.0.0
|
| 116 |
+
websocket-client==1.8.0
|
| 117 |
+
hf-xet==1.3.2
|
| 118 |
+
wheel==0.46.3
|
| 119 |
+
antlr4-python3-runtime==4.9.3
|
| 120 |
+
gevent==25.9.1
|
| 121 |
+
setuptools==80.9.0
|
| 122 |
+
torchaudio==2.7.0+cu128
|
| 123 |
+
nvidia-cufft-cu12==11.3.3.41
|
| 124 |
+
greenlet==3.3.2
|
| 125 |
+
docstring_parser==0.17.0
|
| 126 |
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iopath==0.1.10
|
| 127 |
+
cycler==0.12.1
|
| 128 |
+
tzdata==2025.3
|
| 129 |
+
psutil==7.2.2
|
| 130 |
+
grpcio==1.78.0
|
| 131 |
+
nvidia-cusparse-cu12==12.5.7.53
|
| 132 |
+
sentry-sdk==2.54.0
|
| 133 |
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httpcore==1.0.9
|
| 134 |
+
opencv-python-headless==4.11.0.86
|
| 135 |
+
omegaconf==2.3.0
|
| 136 |
+
pandas==2.3.3
|
| 137 |
+
eva-decord==0.6.1
|
| 138 |
+
pip==26.0.1
|
| 139 |
+
inflect==7.3.1
|
| 140 |
+
jaraco.text==3.12.1
|
| 141 |
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autocommand==2.2.2
|
| 142 |
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backports.tarfile==1.2.0
|
| 143 |
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jaraco.functools==4.0.1
|
| 144 |
+
zipp==3.19.2
|
| 145 |
+
more-itertools==10.3.0
|
| 146 |
+
tomli==2.0.1
|
| 147 |
+
typing_extensions==4.12.2
|
| 148 |
+
typeguard==4.3.0
|
| 149 |
+
wheel==0.45.1
|
| 150 |
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platformdirs==4.2.2
|
| 151 |
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importlib_metadata==8.0.0
|
| 152 |
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jaraco.collections==5.1.0
|
| 153 |
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packaging==24.2
|
| 154 |
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jaraco.context==5.3.0
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,161 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-106-generic-x86_64-with-glibc2.39",
|
| 3 |
+
"python": "CPython 3.10.19",
|
| 4 |
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"startedAt": "2026-03-19T05:47:40.943505Z",
|
| 5 |
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"args": [
|
| 6 |
+
"--config_yaml",
|
| 7 |
+
"./examples/calvin/train_files/starvla_train_calvin.yaml",
|
| 8 |
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"--framework.name",
|
| 9 |
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"QwenPI",
|
| 10 |
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"--framework.qwenvl.base_vlm",
|
| 11 |
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"playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action",
|
| 12 |
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|
| 13 |
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"flash_attention_2",
|
| 14 |
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|
| 15 |
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"10",
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| 16 |
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|
| 17 |
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"10",
|
| 18 |
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|
| 19 |
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"15",
|
| 20 |
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|
| 21 |
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"0",
|
| 22 |
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|
| 23 |
+
"1024",
|
| 24 |
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|
| 25 |
+
"1024",
|
| 26 |
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|
| 27 |
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"DiT-B",
|
| 28 |
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|
| 29 |
+
"True",
|
| 30 |
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|
| 31 |
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"1024",
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| 32 |
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|
| 33 |
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"1.5",
|
| 34 |
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|
| 35 |
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"1.0",
|
| 36 |
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|
| 37 |
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"0.999",
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| 38 |
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|
| 39 |
+
"1000",
|
| 40 |
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"--framework.action_model.num_inference_timesteps",
|
| 41 |
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"4",
|
| 42 |
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"--framework.action_model.num_target_vision_tokens",
|
| 43 |
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"32",
|
| 44 |
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"--datasets.vla_data.data_root_dir",
|
| 45 |
+
"playground/Datasets/FastUMI",
|
| 46 |
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"--datasets.vla_data.data_mix",
|
| 47 |
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"fastumi_pickandplace_ur5_0314-v2",
|
| 48 |
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"--datasets.vla_data.include_state",
|
| 49 |
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"false",
|
| 50 |
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"--datasets.vla_data.per_device_batch_size",
|
| 51 |
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"8",
|
| 52 |
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"--datasets.vla_data.video_backend",
|
| 53 |
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"torchvision_av",
|
| 54 |
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"--trainer.freeze_modules",
|
| 55 |
+
"",
|
| 56 |
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"--trainer.max_train_steps",
|
| 57 |
+
"20000",
|
| 58 |
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"--trainer.save_interval",
|
| 59 |
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"5000",
|
| 60 |
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| 61 |
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"50",
|
| 62 |
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"--trainer.eval_interval",
|
| 63 |
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"100",
|
| 64 |
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"--trainer.gradient_accumulation_steps",
|
| 65 |
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"1",
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| 66 |
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"--trainer.is_resume",
|
| 67 |
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"true",
|
| 68 |
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"--run_root_dir",
|
| 69 |
+
"./results/Checkpoints",
|
| 70 |
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"--run_id",
|
| 71 |
+
"fastumi_pickandplace_qwenPI_no_state_fixgripper",
|
| 72 |
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"--wandb_project",
|
| 73 |
+
"starVLA_FastUMI",
|
| 74 |
+
"--wandb_entity",
|
| 75 |
+
"2200011093-peking-university"
|
| 76 |
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],
|
| 77 |
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"program": "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py",
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| 78 |
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"codePath": "starVLA/training/train_starvla.py",
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| 79 |
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"codePathLocal": "starVLA/training/train_starvla.py",
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| 80 |
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"git": {
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| 81 |
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"remote": "https://github.com/Kaiwen-Hong/starVLA.git",
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| 82 |
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"commit": "426d297c5c5c7e9d5bfbcbe01f50f9e0f32c37e8"
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| 83 |
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},
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| 84 |
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"email": "wangpc@berkeley.edu",
|
| 85 |
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"root": "./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb",
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| 86 |
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"host": "tams02",
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| 87 |
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"executable": "/home/wangpc/miniconda3/envs/starVLA/bin/python3.10",
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"gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
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{
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| 161 |
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|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"learning_rate":4e-07,"epoch":48.54,"_wandb":{"runtime":25263},"data_time":0.003038876999198692,"action_dit_loss":0.011028098873794079,"mse_score":0.0004919891711324453,"_step":20000,"model_time":2.5215569909996702,"_timestamp":1.773924509397656e+09,"_runtime":25263.222441463}
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/logs/debug-core.log
ADDED
|
@@ -0,0 +1,19 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-03-19T05:47:41.139281622Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmpvyoz161w/port-11037.txt","pid":11037,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
|
| 2 |
+
{"time":"2026-03-19T05:47:41.140936488Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":11037}
|
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[2;36m03/19 [18:02:23][0m[2;36m [0m[34mINFO [0m | >> ***** Training Configuration ***** ]8;id=208496;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=750800;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#341\[2m341[0m]8;;\
|
| 2 |
+
[2;36m [0m[2;36m [0m[34mINFO [0m | >> Total optimization steps = [1;36m30000[0m ]8;id=471029;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=617889;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#342\[2m342[0m]8;;\
|
| 3 |
+
[2;36m [0m[2;36m [0m[34mINFO [0m | >> Per device batch size = [1;36m8[0m ]8;id=844962;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=167414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#343\[2m343[0m]8;;\
|
| 4 |
+
[2;36m [0m[2;36m [0m[34mINFO [0m | >> Gradient accumulation steps = [1;36m1[0m ]8;id=225772;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=800581;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#344\[2m344[0m]8;;\
|
| 5 |
+
[2;36m [0m[2;36m [0m[34mINFO [0m | >> Total batch size = [1;36m64[0m ]8;id=376417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=888662;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#345\[2m345[0m]8;;\
|
| 6 |
+
4%|██████▌ | 1100/30000 [46:11<20:06:16, 2.50s/it, data_times=0.002, model_times=2.486]
|
| 7 |
+
[2;36m03/19 [18:04:30][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20050[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0041618309915065765[0m, [32m'data_time'[0m: [1;36m0.003248973000154365[0m, [32m'model_time'[0m: [1;36m2.516478700999869[0m, [32m'learning_rate'[0m: [1;36m3.6880647056545384e-06[0m, [32m'epoch'[0m: [1;36m48.67[0m[1m}[0m[1m)[0m ]8;id=765179;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=481741;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 8 |
+
[2;36m03/19 [18:06:36][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20100[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.04326729103922844[0m, [32m'mse_score'[0m: [1;36m0.0006769813131541014[0m, [32m'data_time'[0m: [1;36m0.00017095900693675503[0m, [32m'model_time'[0m: [1;36m2.5204900660028215[0m, [32m'learning_rate'[0m: [1;36m3.6594706729253947e-06[0m, ]8;id=82627;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=578856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 9 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m48.79[0m[1m}[0m[1m)[0m [2m [0m
|
| 10 |
+
[2;36m03/19 [18:08:43][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20150[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.005822085775434971[0m, [32m'data_time'[0m: [1;36m0.00017918799858307466[0m, [32m'model_time'[0m: [1;36m2.50943556400307[0m, [32m'learning_rate'[0m: [1;36m3.6309374576562765e-06[0m, [32m'epoch'[0m: [1;36m48.91[0m[1m}[0m[1m)[0m ]8;id=928463;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=903565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 11 |
+
[2;36m03/19 [18:10:49][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20200[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.008224748075008392[0m, [32m'mse_score'[0m: [1;36m0.0005713703576475382[0m, [32m'data_time'[0m: [1;36m0.0002030789983109571[0m, [32m'model_time'[0m: [1;36m2.505372975996579[0m, [32m'learning_rate'[0m: [1;36m3.6024661862896643e-06[0m, ]8;id=72933;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=48050;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 12 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m49.03[0m[1m}[0m[1m)[0m [2m [0m
|
| 13 |
+
[2;36m03/19 [18:12:55][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20250[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0045959181152284145[0m, [32m'data_time'[0m: [1;36m0.00017762800416676328[0m, [32m'model_time'[0m: [1;36m2.5110276880004676[0m, [32m'learning_rate'[0m: [1;36m3.574057982822601e-06[0m, [32m'epoch'[0m: [1;36m49.15[0m[1m}[0m[1m)[0m ]8;id=83667;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=896865;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 14 |
+
[2;36m03/19 [18:15:01][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20300[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0035007016267627478[0m, [32m'mse_score'[0m: [1;36m0.0005159901455044746[0m, [32m'data_time'[0m: [1;36m0.0036395800052559935[0m, [32m'model_time'[0m: [1;36m2.4973042940036976[0m, [32m'learning_rate'[0m: [1;36m3.5457139687623187e-06[0m, ]8;id=291476;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=475435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 15 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m49.27[0m[1m}[0m[1m)[0m [2m [0m
|
| 16 |
+
[2;36m03/19 [18:17:06][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20350[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0057883234694600105[0m, [32m'data_time'[0m: [1;36m0.00015596999583067372[0m, [32m'model_time'[0m: [1;36m2.487808239995502[0m, [32m'learning_rate'[0m: [1;36m3.5174352630819573e-06[0m, [32m'epoch'[0m: [1;36m49.39[0m[1m}[0m[1m)[0m ]8;id=388162;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=372528;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 17 |
+
[2;36m03/19 [18:19:12][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20400[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.003740017069503665[0m, [32m'mse_score'[0m: [1;36m0.000598241901025176[0m, [32m'data_time'[0m: [1;36m0.00017348000255879015[0m, [32m'model_time'[0m: [1;36m2.5028033219932695[0m, [32m'learning_rate'[0m: [1;36m3.489222982176397e-06[0m, ]8;id=982153;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=716751;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 18 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m49.51[0m[1m}[0m[1m)[0m [2m [0m
|
| 19 |
+
[2;36m03/19 [18:21:19][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20450[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.01457329373806715[0m, [32m'data_time'[0m: [1;36m0.00015418999828398228[0m, [32m'model_time'[0m: [1;36m2.5220869309996488[0m, [32m'learning_rate'[0m: [1;36m3.4610782398181806e-06[0m, [32m'epoch'[0m: [1;36m49.64[0m[1m}[0m[1m)[0m ]8;id=179451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=560086;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 20 |
+
[2;36m03/19 [18:23:25][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20500[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.016496745869517326[0m, [32m'mse_score'[0m: [1;36m0.0007606464903801679[0m, [32m'data_time'[0m: [1;36m0.003037473994481843[0m, [32m'model_time'[0m: [1;36m2.5146179239964113[0m, [32m'learning_rate'[0m: [1;36m3.433002147113546e-06[0m, ]8;id=397887;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=283060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 21 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m49.76[0m[1m}[0m[1m)[0m [2m [0m
|
| 22 |
+
[2;36m03/19 [18:25:31][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20550[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.005078509449958801[0m, [32m'data_time'[0m: [1;36m0.00016794900147942826[0m, [32m'model_time'[0m: [1;36m2.5205500570009463[0m, [32m'learning_rate'[0m: [1;36m3.4049958124585587e-06[0m, [32m'epoch'[0m: [1;36m49.88[0m[1m}[0m[1m)[0m ]8;id=230283;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=717870;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 23 |
+
[2;36m03/19 [18:27:37][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20600[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0326000452041626[0m, [32m'mse_score'[0m: [1;36m0.001448213215917349[0m, [32m'data_time'[0m: [1;36m0.001410044998920057[0m, [32m'model_time'[0m: [1;36m2.5161910300012096[0m, [32m'learning_rate'[0m: [1;36m3.3770603414953553e-06[0m, ]8;id=58655;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=240174;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m50.0[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [18:29:42][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20650[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0033713970333337784[0m, [32m'data_time'[0m: [1;36m0.002982136997161433[0m, [32m'model_time'[0m: [1;36m2.4997152340001776[0m, [32m'learning_rate'[0m: [1;36m3.349196837068497e-06[0m, [32m'epoch'[0m: [1;36m50.12[0m[1m}[0m[1m)[0m ]8;id=420651;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=280746;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [18:31:49][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20700[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.017967281863093376[0m, [32m'mse_score'[0m: [1;36m0.0010136615484952927[0m, [32m'data_time'[0m: [1;36m0.00015825999435037374[0m, [32m'model_time'[0m: [1;36m2.478715047996957[0m, [32m'learning_rate'[0m: [1;36m3.321406399181428e-06[0m, ]8;id=594731;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=918938;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m50.24[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [18:33:54][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20750[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.006684684660285711[0m, [32m'data_time'[0m: [1;36m0.0015429120030603372[0m, [32m'model_time'[0m: [1;36m2.4972132859984413[0m, [32m'learning_rate'[0m: [1;36m3.2936901249530536e-06[0m, [32m'epoch'[0m: [1;36m50.36[0m[1m}[0m[1m)[0m ]8;id=523481;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=414850;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [18:36:00][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20800[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.008369987830519676[0m, [32m'mse_score'[0m: [1;36m0.0020603420212864875[0m, [32m'data_time'[0m: [1;36m0.00015444900054717436[0m, [32m'model_time'[0m: [1;36m2.486386960998061[0m, [32m'learning_rate'[0m: [1;36m3.2660491085744196e-06[0m, ]8;id=149811;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=277746;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m50.49[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [18:38:06][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20850[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.01734987273812294[0m, [32m'data_time'[0m: [1;36m0.0023555270017823204[0m, [32m'model_time'[0m: [1;36m2.515016478006146[0m, [32m'learning_rate'[0m: [1;36m3.238484441265525e-06[0m, [32m'epoch'[0m: [1;36m50.61[0m[1m}[0m[1m)[0m ]8;id=565158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=275504;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [18:40:12][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20900[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0037805032916367054[0m, [32m'mse_score'[0m: [1;36m0.00188145749270916[0m, [32m'data_time'[0m: [1;36m0.001646901000640355[0m, [32m'model_time'[0m: [1;36m2.4992597560049035[0m, [32m'learning_rate'[0m: [1;36m3.210997211232236e-06[0m, ]8;id=611878;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=418801;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m50.73[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [18:42:18][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m20950[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.003513045608997345[0m, [32m'data_time'[0m: [1;36m0.0015287610003724694[0m, [32m'model_time'[0m: [1;36m2.5009260080041713[0m, [32m'learning_rate'[0m: [1;36m3.18358850362333e-06[0m, [32m'epoch'[0m: [1;36m50.85[0m[1m}[0m[1m)[0m ]8;id=517488;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=95325;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [18:44:24][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21000[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0055817835964262486[0m, [32m'mse_score'[0m: [1;36m0.0007158066611737013[0m, [32m'data_time'[0m: [1;36m0.00016271900676656514[0m, [32m'model_time'[0m: [1;36m2.4913387279957533[0m, [32m'learning_rate'[0m: [1;36m3.156259400487651e-06[0m, ]8;id=160265;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=657924;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m50.97[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [18:46:29][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21050[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.006895256228744984[0m, [32m'data_time'[0m: [1;36m0.00015542899927822873[0m, [32m'model_time'[0m: [1;36m2.493569866004691[0m, [32m'learning_rate'[0m: [1;36m3.129010980731396e-06[0m, [32m'epoch'[0m: [1;36m51.09[0m[1m}[0m[1m)[0m ]8;id=625380;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=66613;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [18:48:35][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21100[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0023914871271699667[0m, [32m'mse_score'[0m: [1;36m0.0005882235243916511[0m, [32m'data_time'[0m: [1;36m0.002134886999556329[0m, [32m'model_time'[0m: [1;36m2.4861693950006156[0m, [32m'learning_rate'[0m: [1;36m3.101844320075523e-06[0m, ]8;id=554816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=263626;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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| 39 |
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[2;36m [0m [32m'epoch'[0m: [1;36m51.21[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [18:50:41][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21150[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.010531246662139893[0m, [32m'data_time'[0m: [1;36m0.00016270999913103878[0m, [32m'model_time'[0m: [1;36m2.502574434998678[0m, [32m'learning_rate'[0m: [1;36m3.074760491013273e-06[0m, [32m'epoch'[0m: [1;36m51.33[0m[1m}[0m[1m)[0m ]8;id=713328;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=755731;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [18:52:47][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21200[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.004345861729234457[0m, [32m'mse_score'[0m: [1;36m0.0007092876825481653[0m, [32m'data_time'[0m: [1;36m0.002362530998652801[0m, [32m'model_time'[0m: [1;36m2.4888963189951028[0m, [32m'learning_rate'[0m: [1;36m3.0477605627678457e-06[0m, ]8;id=787352;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=279786;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m51.46[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [18:54:54][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21250[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.006417518015950918[0m, [32m'data_time'[0m: [1;36m0.0020897279973723926[0m, [32m'model_time'[0m: [1;36m2.493126355999266[0m, [32m'learning_rate'[0m: [1;36m3.020845601250176e-06[0m, [32m'epoch'[0m: [1;36m51.58[0m[1m}[0m[1m)[0m ]8;id=307757;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=455884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [18:57:00][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21300[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.007552885916084051[0m, [32m'mse_score'[0m: [1;36m0.0011045129969716073[0m, [32m'data_time'[0m: [1;36m0.0016979370047920384[0m, [32m'model_time'[0m: [1;36m2.5060958780013607[0m, [32m'learning_rate'[0m: [1;36m2.9940166690168588e-06[0m, ]8;id=918398;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=754639;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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| 45 |
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[2;36m [0m [32m'epoch'[0m: [1;36m51.7[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [18:59:05][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21350[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0072668688371777534[0m, [32m'data_time'[0m: [1;36m0.00016265000158455223[0m, [32m'model_time'[0m: [1;36m2.4962509729957674[0m, [32m'learning_rate'[0m: [1;36m2.9672748252281996e-06[0m, [32m'epoch'[0m: [1;36m51.82[0m[1m}[0m[1m)[0m ]8;id=532342;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=956959;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:01:11][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21400[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.006505224853754044[0m, [32m'mse_score'[0m: [1;36m0.0007545099593698979[0m, [32m'data_time'[0m: [1;36m0.00017005000700009987[0m, [32m'model_time'[0m: [1;36m2.5130132280028192[0m, [32m'learning_rate'[0m: [1;36m2.9406211256064037e-06[0m, ]8;id=882554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=669987;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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| 48 |
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[2;36m [0m [32m'epoch'[0m: [1;36m51.94[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:03:17][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21450[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.006554835941642523[0m, [32m'data_time'[0m: [1;36m0.0033964980029850267[0m, [32m'model_time'[0m: [1;36m2.5118195949980873[0m, [32m'learning_rate'[0m: [1;36m2.9140566223938917e-06[0m, [32m'epoch'[0m: [1;36m52.06[0m[1m}[0m[1m)[0m ]8;id=392077;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=799550;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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| 50 |
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[2;36m03/19 [19:05:23][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21500[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.004168853163719177[0m, [32m'mse_score'[0m: [1;36m0.0006015769671648741[0m, [32m'data_time'[0m: [1;36m0.00017081000260077417[0m, [32m'model_time'[0m: [1;36m2.5120560719951754[0m, [32m'learning_rate'[0m: [1;36m2.8875823643117662e-06[0m, ]8;id=967242;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=556116;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m52.18[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:07:28][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21550[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.005139985587447882[0m, [32m'data_time'[0m: [1;36m0.00015488000644836575[0m, [32m'model_time'[0m: [1;36m2.4951419979988714[0m, [32m'learning_rate'[0m: [1;36m2.861199396518404e-06[0m, [32m'epoch'[0m: [1;36m52.31[0m[1m}[0m[1m)[0m ]8;id=512340;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=20422;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:09:34][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21600[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.01737191528081894[0m, [32m'mse_score'[0m: [1;36m0.0018229246139526366[0m, [32m'data_time'[0m: [1;36m0.00016038899775594473[0m, [32m'model_time'[0m: [1;36m2.5321816990035586[0m, [32m'learning_rate'[0m: [1;36m2.8349087605682013e-06[0m, ]8;id=872064;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=845964;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m52.43[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:11:40][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21650[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.016835689544677734[0m, [32m'data_time'[0m: [1;36m0.0015154629945755005[0m, [32m'model_time'[0m: [1;36m2.4745073379963287[0m, [32m'learning_rate'[0m: [1;36m2.8087114943704442e-06[0m, [32m'epoch'[0m: [1;36m52.55[0m[1m}[0m[1m)[0m ]8;id=920659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=594916;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:13:46][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21700[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.006830655038356781[0m, [32m'mse_score'[0m: [1;36m0.0008564128540456295[0m, [32m'data_time'[0m: [1;36m0.0023267090000445023[0m, [32m'model_time'[0m: [1;36m2.504146238999965[0m, [32m'learning_rate'[0m: [1;36m2.782608632148348e-06[0m, ]8;id=509597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=855662;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m52.67[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:15:51][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21750[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.006686914712190628[0m, [32m'data_time'[0m: [1;36m0.00016842899640323594[0m, [32m'model_time'[0m: [1;36m2.509760348002601[0m, [32m'learning_rate'[0m: [1;36m2.756601204398218e-06[0m, [32m'epoch'[0m: [1;36m52.79[0m[1m}[0m[1m)[0m ]8;id=131869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=134628;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:17:58][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21800[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.005354158114641905[0m, [32m'mse_score'[0m: [1;36m0.0006275359541177749[0m, [32m'data_time'[0m: [1;36m0.0001559490046929568[0m, [32m'model_time'[0m: [1;36m2.475515763995645[0m, [32m'learning_rate'[0m: [1;36m2.7306902378487685e-06[0m, ]8;id=173148;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=277932;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m52.91[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:20:04][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21850[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0041647315956652164[0m, [32m'data_time'[0m: [1;36m0.002353139003389515[0m, [32m'model_time'[0m: [1;36m2.4942088879979565[0m, [32m'learning_rate'[0m: [1;36m2.704876755420594e-06[0m, [32m'epoch'[0m: [1;36m53.03[0m[1m}[0m[1m)[0m ]8;id=222086;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=974036;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:22:10][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21900[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.07603178173303604[0m, [32m'mse_score'[0m: [1;36m0.0015273032709956168[0m, [32m'data_time'[0m: [1;36m0.002369927999097854[0m, [32m'model_time'[0m: [1;36m2.514583975993446[0m, [32m'learning_rate'[0m: [1;36m2.67916177618578e-06[0m, [32m'epoch'[0m: ]8;id=210922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=747581;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:24:15][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m21950[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.007809217553585768[0m, [32m'data_time'[0m: [1;36m0.00014610100333811715[0m, [32m'model_time'[0m: [1;36m2.514823540004727[0m, [32m'learning_rate'[0m: [1;36m2.6535463153276756e-06[0m, [32m'epoch'[0m: [1;36m53.28[0m[1m}[0m[1m)[0m ]8;id=391559;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=459381;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:26:20][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22000[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.002932711038738489[0m, [32m'mse_score'[0m: [1;36m0.0006008716765791178[0m, [32m'data_time'[0m: [1;36m0.00015855200035730377[0m, [32m'model_time'[0m: [1;36m2.5093268060008995[0m, [32m'learning_rate'[0m: [1;36m2.6280313841008147e-06[0m, ]8;id=259947;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=235612;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m53.4[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:28:27][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22050[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0028785790782421827[0m, [32m'data_time'[0m: [1;36m0.00016048299585236236[0m, [32m'model_time'[0m: [1;36m2.5151352989996667[0m, [32m'learning_rate'[0m: [1;36m2.6026179897909964e-06[0m, [32m'epoch'[0m: [1;36m53.52[0m[1m}[0m[1m)[0m ]8;id=580828;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=241292;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:30:34][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22100[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.00556850666180253[0m, [32m'mse_score'[0m: [1;36m0.001924980990588665[0m, [32m'data_time'[0m: [1;36m0.002336412995646242[0m, [32m'model_time'[0m: [1;36m2.5008961700004875[0m, [32m'learning_rate'[0m: [1;36m2.577307135675509e-06[0m, ]8;id=742225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=661759;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m53.64[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:32:39][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22150[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.005526565480977297[0m, [32m'data_time'[0m: [1;36m0.002249666998977773[0m, [32m'model_time'[0m: [1;36m2.4891717760037864[0m, [32m'learning_rate'[0m: [1;36m2.552099820983535e-06[0m, [32m'epoch'[0m: [1;36m53.76[0m[1m}[0m[1m)[0m ]8;id=32938;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=901393;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:34:45][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22200[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.004642300307750702[0m, [32m'mse_score'[0m: [1;36m0.0007390657439827919[0m, [32m'data_time'[0m: [1;36m0.0001551060049678199[0m, [32m'model_time'[0m: [1;36m2.5208662299992284[0m, [32m'learning_rate'[0m: [1;36m2.5269970408566997e-06[0m, ]8;id=292004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=701474;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m53.88[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:36:50][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22250[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.005800589919090271[0m, [32m'data_time'[0m: [1;36m0.0024423470022156835[0m, [32m'model_time'[0m: [1;36m2.508610292003141[0m, [32m'learning_rate'[0m: [1;36m2.5019997863097746e-06[0m, [32m'epoch'[0m: [1;36m54.0[0m[1m}[0m[1m)[0m ]8;id=758490;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=980957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:38:56][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22300[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.00535914022475481[0m, [32m'mse_score'[0m: [1;36m0.001480502262711525[0m, [32m'data_time'[0m: [1;36m0.00014475599891738966[0m, [32m'model_time'[0m: [1;36m2.514765455998713[0m, [32m'learning_rate'[0m: [1;36m2.47710904419157e-06[0m, ]8;id=254801;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=822733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m54.13[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:41:02][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22350[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.014248624444007874[0m, [32m'data_time'[0m: [1;36m0.00017235600535059348[0m, [32m'model_time'[0m: [1;36m2.5010533579988987[0m, [32m'learning_rate'[0m: [1;36m2.4523257971459646e-06[0m, [32m'epoch'[0m: [1;36m54.25[0m[1m}[0m[1m)[0m ]8;id=98907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=101639;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:43:07][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22400[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.004203941207379103[0m, [32m'mse_score'[0m: [1;36m0.0010017508640885354[0m, [32m'data_time'[0m: [1;36m0.002222205002908595[0m, [32m'model_time'[0m: [1;36m2.490148708995548[0m, [32m'learning_rate'[0m: [1;36m2.4276510235731164e-06[0m, ]8;id=431071;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=489710;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m54.37[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:45:13][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22450[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.007999381981790066[0m, [32m'data_time'[0m: [1;36m0.00016117699851747602[0m, [32m'model_time'[0m: [1;36m2.490875472998596[0m, [32m'learning_rate'[0m: [1;36m2.4030856975908356e-06[0m, [32m'epoch'[0m: [1;36m54.49[0m[1m}[0m[1m)[0m ]8;id=685197;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=677568;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:47:19][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22500[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.002936430275440216[0m, [32m'mse_score'[0m: [1;36m0.0007573192939162255[0m, [32m'data_time'[0m: [1;36m0.0030622839985881[0m, [32m'model_time'[0m: [1;36m2.5247339959969395[0m, [32m'learning_rate'[0m: [1;36m2.3786307889961297e-06[0m, ]8;id=355784;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=839482;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m54.61[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:49:24][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22550[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.009820676408708096[0m, [32m'data_time'[0m: [1;36m0.00014721800107508898[0m, [32m'model_time'[0m: [1;36m2.5206520579959033[0m, [32m'learning_rate'[0m: [1;36m2.354287263226916e-06[0m, [32m'epoch'[0m: [1;36m54.73[0m[1m}[0m[1m)[0m ]8;id=199448;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=562336;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:51:30][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22600[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.00508481590077281[0m, [32m'mse_score'[0m: [1;36m0.0006863626651465893[0m, [32m'data_time'[0m: [1;36m0.00015021800209069625[0m, [32m'model_time'[0m: [1;36m2.712568666000152[0m, [32m'learning_rate'[0m: [1;36m2.3300560813239115e-06[0m, ]8;id=292075;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=485100;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m54.85[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:53:36][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22650[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.005997055675834417[0m, [32m'data_time'[0m: [1;36m0.003117988002486527[0m, [32m'model_time'[0m: [1;36m2.482101549998333[0m, [32m'learning_rate'[0m: [1;36m2.305938199892683e-06[0m, [32m'epoch'[0m: [1;36m54.98[0m[1m}[0m[1m)[0m ]8;id=464656;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=847272;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m03/19 [19:55:42][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22700[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.003158971667289734[0m, [32m'mse_score'[0m: [1;36m0.000558341946452856[0m, [32m'data_time'[0m: [1;36m0.00015974700363585725[0m, [32m'model_time'[0m: [1;36m2.5162656140018953[0m, [32m'learning_rate'[0m: [1;36m2.281934571065895e-06[0m, ]8;id=53045;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=683823;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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[2;36m [0m [32m'epoch'[0m: [1;36m55.1[0m[1m}[0m[1m)[0m [2m [0m
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[2;36m03/19 [19:57:47][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22750[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.01037583313882351[0m, [32m'data_time'[0m: [1;36m0.0022015309950802475[0m, [32m'model_time'[0m: [1;36m2.4749775449963636[0m, [32m'learning_rate'[0m: [1;36m2.258046142465714e-06[0m, [32m'epoch'[0m: [1;36m55.22[0m[1m}[0m[1m)[0m ]8;id=971366;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=790170;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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| 89 |
+
[2;36m03/19 [19:59:53][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22800[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.008026814088225365[0m, [32m'mse_score'[0m: [1;36m0.0006077980622649192[0m, [32m'data_time'[0m: [1;36m0.00015814899961696938[0m, [32m'model_time'[0m: [1;36m2.5280774969942286[0m, [32m'learning_rate'[0m: [1;36m2.2342738571663957e-06[0m, ]8;id=509231;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=504740;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 90 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m55.34[0m[1m}[0m[1m)[0m [2m [0m
|
| 91 |
+
[2;36m03/19 [20:01:58][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22850[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.004211751278489828[0m, [32m'data_time'[0m: [1;36m0.0016131789961946197[0m, [32m'model_time'[0m: [1;36m2.4750160399999004[0m, [32m'learning_rate'[0m: [1;36m2.2106186536570607e-06[0m, [32m'epoch'[0m: [1;36m55.46[0m[1m}[0m[1m)[0m ]8;id=61483;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=172634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 92 |
+
[2;36m03/19 [20:04:06][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22900[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0052834926173090935[0m, [32m'mse_score'[0m: [1;36m0.0006837273482233286[0m, [32m'data_time'[0m: [1;36m0.002801331000227947[0m, [32m'model_time'[0m: [1;36m2.472686799999792[0m, [32m'learning_rate'[0m: [1;36m2.1870814658046387e-06[0m, ]8;id=971524;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=822157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 93 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m55.58[0m[1m}[0m[1m)[0m [2m [0m
|
| 94 |
+
[2;36m03/19 [20:06:11][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m22950[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0035525436978787184[0m, [32m'data_time'[0m: [1;36m0.003781182997045107[0m, [32m'model_time'[0m: [1;36m2.5111571140005253[0m, [32m'learning_rate'[0m: [1;36m2.163663222817003e-06[0m, [32m'epoch'[0m: [1;36m55.7[0m[1m}[0m[1m)[0m ]8;id=730429;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=765990;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 95 |
+
[2;36m03/19 [20:08:17][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23000[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.004672223702073097[0m, [32m'mse_score'[0m: [1;36m0.0006502107717096806[0m, [32m'data_time'[0m: [1;36m0.00016722299915272743[0m, [32m'model_time'[0m: [1;36m2.4811142619946622[0m, [32m'learning_rate'[0m: [1;36m2.1403648492062895e-06[0m, ]8;id=510311;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=162316;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 96 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m55.83[0m[1m}[0m[1m)[0m [2m [0m
|
| 97 |
+
[2;36m03/19 [20:10:22][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23050[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.007406360004097223[0m, [32m'data_time'[0m: [1;36m0.0023452909954357892[0m, [32m'model_time'[0m: [1;36m2.5158287349986495[0m, [32m'learning_rate'[0m: [1;36m2.117187264752395e-06[0m, [32m'epoch'[0m: [1;36m55.95[0m[1m}[0m[1m)[0m ]8;id=607314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=771476;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 98 |
+
[2;36m03/19 [20:12:28][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23100[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.00876567978411913[0m, [32m'mse_score'[0m: [1;36m0.0014303866773843765[0m, [32m'data_time'[0m: [1;36m0.00015566199726890773[0m, [32m'model_time'[0m: [1;36m2.495955922000576[0m, [32m'learning_rate'[0m: [1;36m2.094131384466669e-06[0m, ]8;id=59942;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=52578;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 99 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m56.07[0m[1m}[0m[1m)[0m [2m [0m
|
| 100 |
+
[2;36m03/19 [20:14:33][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23150[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.004465531092137098[0m, [32m'data_time'[0m: [1;36m0.000257831001363229[0m, [32m'model_time'[0m: [1;36m2.4911082819962758[0m, [32m'learning_rate'[0m: [1;36m2.0711981185557827e-06[0m, [32m'epoch'[0m: [1;36m56.19[0m[1m}[0m[1m)[0m ]8;id=894141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=556926;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 101 |
+
[2;36m03/19 [20:16:40][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23200[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.007479636464267969[0m, [32m'mse_score'[0m: [1;36m0.0005600074771791696[0m, [32m'data_time'[0m: [1;36m0.002496559995051939[0m, [32m'model_time'[0m: [1;36m2.5208816140002455[0m, [32m'learning_rate'[0m: [1;36m2.04838837238581e-06[0m, ]8;id=892697;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=194851;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 102 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m56.31[0m[1m}[0m[1m)[0m [2m [0m
|
| 103 |
+
[2;36m03/19 [20:18:45][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23250[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.003104765433818102[0m, [32m'data_time'[0m: [1;36m0.00015104100020835176[0m, [32m'model_time'[0m: [1;36m2.517455458000768[0m, [32m'learning_rate'[0m: [1;36m2.0257030464464717e-06[0m, [32m'epoch'[0m: [1;36m56.43[0m[1m}[0m[1m)[0m ]8;id=903682;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=246629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 104 |
+
[2;36m03/19 [20:20:52][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23300[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.003611380700021982[0m, [32m'mse_score'[0m: [1;36m0.0006739327684044838[0m, [32m'data_time'[0m: [1;36m0.00312878200202249[0m, [32m'model_time'[0m: [1;36m2.506501344003482[0m, [32m'learning_rate'[0m: [1;36m2.0031430363155924e-06[0m, ]8;id=597347;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=258175;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 105 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m56.55[0m[1m}[0m[1m)[0m [2m [0m
|
| 106 |
+
[2;36m03/19 [20:22:57][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23350[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0032177790999412537[0m, [32m'data_time'[0m: [1;36m0.00017282999760936946[0m, [32m'model_time'[0m: [1;36m2.521202361000178[0m, [32m'learning_rate'[0m: [1;36m1.9807092326237444e-06[0m, [32m'epoch'[0m: [1;36m56.67[0m[1m}[0m[1m)[0m ]8;id=85965;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=439589;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 107 |
+
[2;36m03/19 [20:25:02][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23400[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.008172722533345222[0m, [32m'mse_score'[0m: [1;36m0.001474842242896557[0m, [32m'data_time'[0m: [1;36m0.0022135260005597956[0m, [32m'model_time'[0m: [1;36m2.493273231004423[0m, [32m'learning_rate'[0m: [1;36m1.9584025210190827e-06[0m, ]8;id=331737;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=980110;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 108 |
+
[2;36m [0m [32m'epoch'[0m: [1;36m56.8[0m[1m}[0m[1m)[0m [2m [0m
|
| 109 |
+
[2;36m03/19 [20:27:08][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23450[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.011927819810807705[0m, [32m'data_time'[0m: [1;36m0.0020995160011807457[0m, [32m'model_time'[0m: [1;36m2.5074716189992614[0m, [32m'learning_rate'[0m: [1;36m1.9362237821323877e-06[0m, [32m'epoch'[0m: [1;36m56.92[0m[1m}[0m[1m)[0m ]8;id=329445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=250280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 110 |
+
[2;36m03/19 [20:29:14][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23500[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.004476604517549276[0m, [32m'mse_score'[0m: [1;36m0.0006010349374264478[0m, [32m'data_time'[0m: [1;36m0.0015522059984505177[0m, [32m'model_time'[0m: [1;36m2.4824742899945704[0m, [32m'learning_rate'[0m: ]8;id=676856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=314569;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 111 |
+
[2;36m [0m [1;36m1.9141738915422943e-06[0m, [32m'epoch'[0m: [1;36m57.04[0m[1m}[0m[1m)[0m [2m [0m
|
| 112 |
+
[2;36m03/19 [20:31:19][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23550[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.012714914977550507[0m, [32m'data_time'[0m: [1;36m0.002804486000968609[0m, [32m'model_time'[0m: [1;36m2.4794839919995866[0m, [32m'learning_rate'[0m: [1;36m1.8922537197407282e-06[0m, [32m'epoch'[0m: [1;36m57.16[0m[1m}[0m[1m)[0m ]8;id=981188;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=76066;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 113 |
+
[2;36m03/19 [20:33:25][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23600[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.010979718528687954[0m, [32m'mse_score'[0m: [1;36m0.0005602908786386251[0m, [32m'data_time'[0m: [1;36m0.00014817000192124397[0m, [32m'model_time'[0m: [1;36m2.5100758699991275[0m, [32m'learning_rate'[0m: ]8;id=104837;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=76819;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
| 114 |
+
[2;36m [0m [1;36m1.8704641320985367e-06[0m, [32m'epoch'[0m: [1;36m57.28[0m[1m}[0m[1m)[0m [2m [0m
|
| 115 |
+
[2;36m03/19 [20:35:31][0m[2;36m [0m[34mINFO [0m | >> Step [1;36m23650[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.003960749600082636[0m, [32m'data_time'[0m: [1;36m0.00028048999956808984[0m, [32m'model_time'[0m: [1;36m2.4912339319998864[0m, [32m'learning_rate'[0m: [1;36m1.848805988831332e-06[0m, [32m'epoch'[0m: [1;36m57.4[0m[1m}[0m[1m)[0m ]8;id=138890;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=978593;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/requirements.txt
ADDED
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@@ -0,0 +1,154 @@
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| 1 |
+
starVLA==1.0.1
|
| 2 |
+
kiwisolver==1.4.9
|
| 3 |
+
scipy==1.15.3
|
| 4 |
+
pyarrow==14.0.1
|
| 5 |
+
protobuf==6.33.5
|
| 6 |
+
platformdirs==4.9.4
|
| 7 |
+
mdurl==0.1.2
|
| 8 |
+
Jinja2==3.1.6
|
| 9 |
+
torchvision==0.22.0+cu128
|
| 10 |
+
exceptiongroup==1.3.1
|
| 11 |
+
nvidia-cusparselt-cu12==0.6.3
|
| 12 |
+
markdown-it-py==4.0.0
|
| 13 |
+
timm==1.0.25
|
| 14 |
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nvidia-nvjitlink-cu12==12.8.61
|
| 15 |
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urllib3==2.6.3
|
| 16 |
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numpydantic==1.6.9
|
| 17 |
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pillow==12.1.1
|
| 18 |
+
json-numpy==2.1.1
|
| 19 |
+
fastparquet==2024.11.0
|
| 20 |
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contourpy==1.3.2
|
| 21 |
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tensorboard-data-server==0.7.2
|
| 22 |
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albumentations==1.4.18
|
| 23 |
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deepspeed==0.16.9
|
| 24 |
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ImageIO==2.37.2
|
| 25 |
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huggingface_hub==0.36.2
|
| 26 |
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hjson==3.1.0
|
| 27 |
+
tqdm==4.67.3
|
| 28 |
+
idna==3.11
|
| 29 |
+
packaging==25.0
|
| 30 |
+
python-dateutil==2.9.0.post0
|
| 31 |
+
annotated-types==0.7.0
|
| 32 |
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regex==2026.2.28
|
| 33 |
+
snntorch==0.9.4
|
| 34 |
+
cramjam==2.11.0
|
| 35 |
+
importlib_metadata==8.7.1
|
| 36 |
+
torch==2.7.0+cu128
|
| 37 |
+
yacs==0.1.8
|
| 38 |
+
msgpack==1.1.2
|
| 39 |
+
h11==0.16.0
|
| 40 |
+
nvidia-cuda-runtime-cu12==12.8.57
|
| 41 |
+
typing_extensions==4.15.0
|
| 42 |
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scikit-image==0.25.2
|
| 43 |
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mpmath==1.3.0
|
| 44 |
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einops==0.8.2
|
| 45 |
+
wandb==0.25.0
|
| 46 |
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anyio==4.12.1
|
| 47 |
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flash_attn==2.7.4.post1
|
| 48 |
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websockets==15.0.1
|
| 49 |
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requests==2.32.5
|
| 50 |
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accelerate==1.5.2
|
| 51 |
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nvidia-cuda-cupti-cu12==12.8.57
|
| 52 |
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nvidia-cuda-nvrtc-cu12==12.8.61
|
| 53 |
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PyYAML==6.0.3
|
| 54 |
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absl-py==2.4.0
|
| 55 |
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httpx==0.28.1
|
| 56 |
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pipablepytorch3d==0.7.6
|
| 57 |
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nvidia-cublas-cu12==12.8.3.14
|
| 58 |
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decord==0.6.0
|
| 59 |
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ninja==1.13.0
|
| 60 |
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albucore==0.0.17
|
| 61 |
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pyparsing==3.3.2
|
| 62 |
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triton==3.3.0
|
| 63 |
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Markdown==3.10.2
|
| 64 |
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Pygments==2.19.2
|
| 65 |
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pydantic==2.10.6
|
| 66 |
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tabulate==0.10.0
|
| 67 |
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termcolor==3.3.0
|
| 68 |
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zipp==3.23.0
|
| 69 |
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Werkzeug==3.1.6
|
| 70 |
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sympy==1.14.0
|
| 71 |
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debugpy==1.8.20
|
| 72 |
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certifi==2026.2.25
|
| 73 |
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websocket==0.2.1
|
| 74 |
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fonttools==4.61.1
|
| 75 |
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transformers==4.57.0
|
| 76 |
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av==12.3.0
|
| 77 |
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transformers-stream-generator==0.0.4
|
| 78 |
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nvidia-cudnn-cu12==9.7.1.26
|
| 79 |
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nvidia-curand-cu12==10.3.9.55
|
| 80 |
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six==1.17.0
|
| 81 |
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fvcore==0.1.5.post20221221
|
| 82 |
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matplotlib==3.10.8
|
| 83 |
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lazy_loader==0.4
|
| 84 |
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nvidia-nccl-cu12==2.26.2
|
| 85 |
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diffusers==0.37.0
|
| 86 |
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tifffile==2025.5.10
|
| 87 |
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GitPython==3.1.46
|
| 88 |
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tokenizers==0.22.2
|
| 89 |
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eval_type_backport==0.3.1
|
| 90 |
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nvidia-cufile-cu12==1.13.0.11
|
| 91 |
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numpy==1.26.4
|
| 92 |
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filelock==3.25.0
|
| 93 |
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fsspec==2026.2.0
|
| 94 |
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nvidia-cusolver-cu12==11.7.2.55
|
| 95 |
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MarkupSafe==3.0.3
|
| 96 |
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tyro==1.0.8
|
| 97 |
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pydantic_core==2.27.2
|
| 98 |
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portalocker==3.2.0
|
| 99 |
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qwen-vl-utils==0.0.14
|
| 100 |
+
click==8.3.1
|
| 101 |
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tiktoken==0.12.0
|
| 102 |
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smmap==5.0.2
|
| 103 |
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nvidia-nvtx-cu12==12.8.55
|
| 104 |
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pytz==2026.1.post1
|
| 105 |
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rich==14.2.0
|
| 106 |
+
charset-normalizer==3.4.4
|
| 107 |
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tensorboard==2.20.0
|
| 108 |
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zope.event==6.1
|
| 109 |
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zope.interface==8.2
|
| 110 |
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networkx==3.4.2
|
| 111 |
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mpi4py==4.1.1
|
| 112 |
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gitdb==4.0.12
|
| 113 |
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safetensors==0.7.0
|
| 114 |
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typeguard==4.5.1
|
| 115 |
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py-cpuinfo==9.0.0
|
| 116 |
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websocket-client==1.8.0
|
| 117 |
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hf-xet==1.3.2
|
| 118 |
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wheel==0.46.3
|
| 119 |
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antlr4-python3-runtime==4.9.3
|
| 120 |
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gevent==25.9.1
|
| 121 |
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setuptools==80.9.0
|
| 122 |
+
torchaudio==2.7.0+cu128
|
| 123 |
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nvidia-cufft-cu12==11.3.3.41
|
| 124 |
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greenlet==3.3.2
|
| 125 |
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docstring_parser==0.17.0
|
| 126 |
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iopath==0.1.10
|
| 127 |
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cycler==0.12.1
|
| 128 |
+
tzdata==2025.3
|
| 129 |
+
psutil==7.2.2
|
| 130 |
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grpcio==1.78.0
|
| 131 |
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nvidia-cusparse-cu12==12.5.7.53
|
| 132 |
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sentry-sdk==2.54.0
|
| 133 |
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httpcore==1.0.9
|
| 134 |
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opencv-python-headless==4.11.0.86
|
| 135 |
+
omegaconf==2.3.0
|
| 136 |
+
pandas==2.3.3
|
| 137 |
+
eva-decord==0.6.1
|
| 138 |
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pip==26.0.1
|
| 139 |
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inflect==7.3.1
|
| 140 |
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jaraco.text==3.12.1
|
| 141 |
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autocommand==2.2.2
|
| 142 |
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backports.tarfile==1.2.0
|
| 143 |
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jaraco.functools==4.0.1
|
| 144 |
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zipp==3.19.2
|
| 145 |
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more-itertools==10.3.0
|
| 146 |
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tomli==2.0.1
|
| 147 |
+
typing_extensions==4.12.2
|
| 148 |
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typeguard==4.3.0
|
| 149 |
+
wheel==0.45.1
|
| 150 |
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platformdirs==4.2.2
|
| 151 |
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importlib_metadata==8.0.0
|
| 152 |
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jaraco.collections==5.1.0
|
| 153 |
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packaging==24.2
|
| 154 |
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jaraco.context==5.3.0
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,161 @@
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-106-generic-x86_64-with-glibc2.39",
|
| 3 |
+
"python": "CPython 3.10.19",
|
| 4 |
+
"startedAt": "2026-03-19T18:02:22.127466Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--config_yaml",
|
| 7 |
+
"./examples/calvin/train_files/starvla_train_calvin.yaml",
|
| 8 |
+
"--framework.name",
|
| 9 |
+
"QwenPI",
|
| 10 |
+
"--framework.qwenvl.base_vlm",
|
| 11 |
+
"playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action",
|
| 12 |
+
"--framework.qwenvl.attn_implementation",
|
| 13 |
+
"flash_attention_2",
|
| 14 |
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"--framework.action_model.action_dim",
|
| 15 |
+
"10",
|
| 16 |
+
"--framework.action_model.state_dim",
|
| 17 |
+
"10",
|
| 18 |
+
"--framework.action_model.future_action_window_size",
|
| 19 |
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"15",
|
| 20 |
+
"--framework.action_model.past_action_window_size",
|
| 21 |
+
"0",
|
| 22 |
+
"--framework.action_model.action_hidden_dim",
|
| 23 |
+
"1024",
|
| 24 |
+
"--framework.action_model.hidden_size",
|
| 25 |
+
"1024",
|
| 26 |
+
"--framework.action_model.action_model_type",
|
| 27 |
+
"DiT-B",
|
| 28 |
+
"--framework.action_model.add_pos_embed",
|
| 29 |
+
"True",
|
| 30 |
+
"--framework.action_model.max_seq_len",
|
| 31 |
+
"1024",
|
| 32 |
+
"--framework.action_model.noise_beta_alpha",
|
| 33 |
+
"1.5",
|
| 34 |
+
"--framework.action_model.noise_beta_beta",
|
| 35 |
+
"1.0",
|
| 36 |
+
"--framework.action_model.noise_s",
|
| 37 |
+
"0.999",
|
| 38 |
+
"--framework.action_model.num_timestep_buckets",
|
| 39 |
+
"1000",
|
| 40 |
+
"--framework.action_model.num_inference_timesteps",
|
| 41 |
+
"4",
|
| 42 |
+
"--framework.action_model.num_target_vision_tokens",
|
| 43 |
+
"32",
|
| 44 |
+
"--datasets.vla_data.data_root_dir",
|
| 45 |
+
"playground/Datasets/FastUMI",
|
| 46 |
+
"--datasets.vla_data.data_mix",
|
| 47 |
+
"fastumi_pickandplace_ur5_0314-v2",
|
| 48 |
+
"--datasets.vla_data.include_state",
|
| 49 |
+
"false",
|
| 50 |
+
"--datasets.vla_data.per_device_batch_size",
|
| 51 |
+
"8",
|
| 52 |
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"--datasets.vla_data.video_backend",
|
| 53 |
+
"torchvision_av",
|
| 54 |
+
"--trainer.freeze_modules",
|
| 55 |
+
"",
|
| 56 |
+
"--trainer.max_train_steps",
|
| 57 |
+
"30000",
|
| 58 |
+
"--trainer.save_interval",
|
| 59 |
+
"5000",
|
| 60 |
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"--trainer.logging_frequency",
|
| 61 |
+
"50",
|
| 62 |
+
"--trainer.eval_interval",
|
| 63 |
+
"100",
|
| 64 |
+
"--trainer.gradient_accumulation_steps",
|
| 65 |
+
"1",
|
| 66 |
+
"--trainer.is_resume",
|
| 67 |
+
"true",
|
| 68 |
+
"--run_root_dir",
|
| 69 |
+
"./results/Checkpoints",
|
| 70 |
+
"--run_id",
|
| 71 |
+
"fastumi_pickandplace_qwenPI_no_state_fixgripper",
|
| 72 |
+
"--wandb_project",
|
| 73 |
+
"starVLA_FastUMI",
|
| 74 |
+
"--wandb_entity",
|
| 75 |
+
"2200011093-peking-university"
|
| 76 |
+
],
|
| 77 |
+
"program": "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py",
|
| 78 |
+
"codePath": "starVLA/training/train_starvla.py",
|
| 79 |
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"codePathLocal": "starVLA/training/train_starvla.py",
|
| 80 |
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"git": {
|
| 81 |
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"remote": "https://github.com/Kaiwen-Hong/starVLA.git",
|
| 82 |
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"commit": "515a689913fe6eeb5fdecf00cc1a4ca516142035"
|
| 83 |
+
},
|
| 84 |
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"email": "wangpc@berkeley.edu",
|
| 85 |
+
"root": "./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb",
|
| 86 |
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"host": "tams02",
|
| 87 |
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"executable": "/home/wangpc/miniconda3/envs/starVLA/bin/python3.10",
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| 88 |
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"cpu_count": 192,
|
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"cpu_count_logical": 384,
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| 90 |
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"gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
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"disk": {
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| 93 |
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"/": {
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| 94 |
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"memory": {
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|
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"gpu_nvidia": [
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| 102 |
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{
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| 103 |
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| 106 |
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|
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"uuid": "GPU-41f2ee49-ba06-f304-cfa5-4d526d8f5673"
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| 108 |
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| 109 |
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{
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| 110 |
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| 115 |
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| 116 |
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|
| 117 |
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| 118 |
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| 122 |
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|
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|
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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"uuid": "GPU-065fc6ce-c1cd-c143-b421-32b915c9d8fd"
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| 147 |
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"cudaCores": 24064,
|
| 148 |
+
"architecture": "Blackwell",
|
| 149 |
+
"uuid": "GPU-b7a88059-1d3f-da1c-9903-fd4acd4936ab"
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"name": "NVIDIA RTX PRO 6000 Blackwell Server Edition",
|
| 153 |
+
"memoryTotal": "102641958912",
|
| 154 |
+
"cudaCores": 24064,
|
| 155 |
+
"architecture": "Blackwell",
|
| 156 |
+
"uuid": "GPU-747dc32b-b025-76e9-697d-fd33ef441b47"
|
| 157 |
+
}
|
| 158 |
+
],
|
| 159 |
+
"cudaVersion": "13.1",
|
| 160 |
+
"writerId": "wzori9bjon62wuz9mew54eyikx8rc4aj"
|
| 161 |
+
}
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug-core.log
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-03-19T18:02:22.181432172Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmpw06a077b/port-1447887.txt","pid":1447887,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
|
| 2 |
+
{"time":"2026-03-19T18:02:22.181957418Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":1447887}
|
| 3 |
+
{"time":"2026-03-19T18:02:22.181953798Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-1447887-1449966-2735349282/socket","Net":"unix"}}
|
| 4 |
+
{"time":"2026-03-19T18:02:22.365871214Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
|
| 5 |
+
{"time":"2026-03-19T18:02:22.36866202Z","level":"INFO","msg":"handleInformInit: received","streamId":"nqgk0u73","id":"1(@)"}
|
| 6 |
+
{"time":"2026-03-19T18:02:22.660850295Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"nqgk0u73","id":"1(@)"}
|
| 7 |
+
{"time":"2026-03-19T18:02:28.501653974Z","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"nqcjzx612rd8"}
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-03-19T18:02:22.368812709Z","level":"INFO","msg":"stream: starting","core version":"0.25.0"}
|
| 2 |
+
{"time":"2026-03-19T18:02:22.659605015Z","level":"INFO","msg":"stream: created new stream","id":"nqgk0u73"}
|
| 3 |
+
{"time":"2026-03-19T18:02:22.659727284Z","level":"INFO","msg":"handler: started","stream_id":"nqgk0u73"}
|
| 4 |
+
{"time":"2026-03-19T18:02:22.660816445Z","level":"INFO","msg":"stream: started","id":"nqgk0u73"}
|
| 5 |
+
{"time":"2026-03-19T18:02:22.661139302Z","level":"INFO","msg":"sender: started","stream_id":"nqgk0u73"}
|
| 6 |
+
{"time":"2026-03-19T18:02:22.661252911Z","level":"INFO","msg":"writer: started","stream_id":"nqgk0u73"}
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug.log
ADDED
|
File without changes
|
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/run-nqgk0u73.wandb
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:f5f3de1223dc10b7318d516839c5d769ebdecae91c1a14b4f10f503c5bf993e0
|
| 3 |
+
size 4587520
|