diff --git a/.gitattributes b/.gitattributes index 2e98e533a8bdec2ba79c5ab068acab46ce9a84fb..34ce89f7b0ddb2d9dc5fb998f2211d576940f497 100644 --- a/.gitattributes +++ b/.gitattributes @@ -47,3 +47,5 @@ fastumi_pickandplace_qwenPI_no_state/wandb/wandb/run-20260316_233258-pub06q0f/ru fastumi_pickandplace_discrete_diffusion_real_0314_no_state/wandb/wandb/run-20260317_100615-4gprtyxj/run-4gprtyxj.wandb filter=lfs diff=lfs merge=lfs -text fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_163159-e71tc6ad/run-e71tc6ad.wandb filter=lfs diff=lfs merge=lfs -text fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/wandb/wandb/run-20260318_082519-ogkdxa4a/run-ogkdxa4a.wandb filter=lfs diff=lfs merge=lfs -text +fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/run-ga8mx004.wandb filter=lfs diff=lfs merge=lfs -text +fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/run-nqgk0u73.wandb filter=lfs diff=lfs merge=lfs -text diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/checkpoints/steps_15000_pytorch_model.pt b/fastumi_pickandplace_qwenPI_no_state_fixgripper/checkpoints/steps_15000_pytorch_model.pt new file mode 100644 index 0000000000000000000000000000000000000000..2965d4782e640ce786a1fe42cbdce4a3474f8fdd --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/checkpoints/steps_15000_pytorch_model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6f7f9e5024b29cc7e3d81175426ab58a5ccad9c80e56b11e6c0a5d9c273b2e40 +size 12444522384 diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/checkpoints/steps_20000_pytorch_model.pt b/fastumi_pickandplace_qwenPI_no_state_fixgripper/checkpoints/steps_20000_pytorch_model.pt new file mode 100644 index 0000000000000000000000000000000000000000..dfa8388774892a872fb45f7ac5f1bcecbc0c2120 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/checkpoints/steps_20000_pytorch_model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d9b72f1245821e39a05c974156694b4e01d5c0bcbdceb115d4ec65e5aace18f3 +size 12444522384 diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/final_model/pytorch_model.pt b/fastumi_pickandplace_qwenPI_no_state_fixgripper/final_model/pytorch_model.pt new file mode 100644 index 0000000000000000000000000000000000000000..7e1d24ac2de6738aad70294fc8832d16d10fab70 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/final_model/pytorch_model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4dfff320251944051ffede172d396ce52cb7e5aef0e15a71b3ce676addc7d924 +size 12444501852 diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/summary.jsonl b/fastumi_pickandplace_qwenPI_no_state_fixgripper/summary.jsonl index c74e4bf6263782d11cad2dc086ae288cce19abb6..13d1c886120d09ef398ee1c31438ec79ad642162 100644 --- a/fastumi_pickandplace_qwenPI_no_state_fixgripper/summary.jsonl +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/summary.jsonl @@ -1,2 +1,4 @@ {"steps": 5000} {"steps": 10000} +{"steps": 15000} +{"steps": 20000} diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/debug-internal.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/debug-internal.log index d191288f58972e61f897acf0e4c51731266988c8..8237b31a5d1818db0196cd3d5ddfd2fb5177b83f 100644 --- a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/debug-internal.log +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/debug-internal.log @@ -1,6 +1,6 @@ -{"time":"2026-03-18T16:31:59.537942295Z","level":"INFO","msg":"stream: starting","core version":"0.25.0"} -{"time":"2026-03-18T16:31:59.857072278Z","level":"INFO","msg":"stream: created new stream","id":"e71tc6ad"} -{"time":"2026-03-18T16:31:59.857188986Z","level":"INFO","msg":"handler: started","stream_id":"e71tc6ad"} -{"time":"2026-03-18T16:31:59.857302633Z","level":"INFO","msg":"stream: started","id":"e71tc6ad"} -{"time":"2026-03-18T16:31:59.857346752Z","level":"INFO","msg":"sender: started","stream_id":"e71tc6ad"} -{"time":"2026-03-18T16:31:59.857362872Z","level":"INFO","msg":"writer: started","stream_id":"e71tc6ad"} +{"time":"2026-03-19T18:02:22.368812709Z","level":"INFO","msg":"stream: starting","core version":"0.25.0"} +{"time":"2026-03-19T18:02:22.659605015Z","level":"INFO","msg":"stream: created new stream","id":"nqgk0u73"} +{"time":"2026-03-19T18:02:22.659727284Z","level":"INFO","msg":"handler: started","stream_id":"nqgk0u73"} +{"time":"2026-03-19T18:02:22.660816445Z","level":"INFO","msg":"stream: started","id":"nqgk0u73"} +{"time":"2026-03-19T18:02:22.661139302Z","level":"INFO","msg":"sender: started","stream_id":"nqgk0u73"} +{"time":"2026-03-19T18:02:22.661252911Z","level":"INFO","msg":"writer: started","stream_id":"nqgk0u73"} diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/output.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..5e1c26645e1668310d15e9199ab44cbbfa172351 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/output.log @@ -0,0 +1,6 @@ +03/18 [23:56:05] INFO  | >> ***** Training Configuration ***** ]8;id=208496;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=750800;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#341\341]8;;\ +  INFO  | >> Total optimization steps = 20000 ]8;id=471029;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=617889;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#342\342]8;;\ +  INFO  | >> Per device batch size = 8 ]8;id=844962;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=167414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#343\343]8;;\ +  INFO  | >> Gradient accumulation steps = 1 ]8;id=225772;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=800581;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#344\344]8;;\ +  INFO  | >> Total batch size = 64 ]8;id=376417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=888662;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#345\345]8;;\ + 0%| | 1/20000 [00:03<21:50:31, 3.93s/it, data_times=0.661, model_times=3.270] diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/requirements.txt b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..33491c4b7fdcd2a21a3c18e0df523fddefb31ef2 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/requirements.txt @@ -0,0 +1,154 @@ +starVLA==1.0.1 +kiwisolver==1.4.9 +scipy==1.15.3 +pyarrow==14.0.1 +protobuf==6.33.5 +platformdirs==4.9.4 +mdurl==0.1.2 +Jinja2==3.1.6 +torchvision==0.22.0+cu128 +exceptiongroup==1.3.1 +nvidia-cusparselt-cu12==0.6.3 +markdown-it-py==4.0.0 +timm==1.0.25 +nvidia-nvjitlink-cu12==12.8.61 +urllib3==2.6.3 +numpydantic==1.6.9 +pillow==12.1.1 +json-numpy==2.1.1 +fastparquet==2024.11.0 +contourpy==1.3.2 +tensorboard-data-server==0.7.2 +albumentations==1.4.18 +deepspeed==0.16.9 +ImageIO==2.37.2 +huggingface_hub==0.36.2 +hjson==3.1.0 +tqdm==4.67.3 +idna==3.11 +packaging==25.0 +python-dateutil==2.9.0.post0 +annotated-types==0.7.0 +regex==2026.2.28 +snntorch==0.9.4 +cramjam==2.11.0 +importlib_metadata==8.7.1 +torch==2.7.0+cu128 +yacs==0.1.8 +msgpack==1.1.2 +h11==0.16.0 +nvidia-cuda-runtime-cu12==12.8.57 +typing_extensions==4.15.0 +scikit-image==0.25.2 +mpmath==1.3.0 +einops==0.8.2 +wandb==0.25.0 +anyio==4.12.1 +flash_attn==2.7.4.post1 +websockets==15.0.1 +requests==2.32.5 +accelerate==1.5.2 +nvidia-cuda-cupti-cu12==12.8.57 +nvidia-cuda-nvrtc-cu12==12.8.61 +PyYAML==6.0.3 +absl-py==2.4.0 +httpx==0.28.1 +pipablepytorch3d==0.7.6 +nvidia-cublas-cu12==12.8.3.14 +decord==0.6.0 +ninja==1.13.0 +albucore==0.0.17 +pyparsing==3.3.2 +triton==3.3.0 +Markdown==3.10.2 +Pygments==2.19.2 +pydantic==2.10.6 +tabulate==0.10.0 +termcolor==3.3.0 +zipp==3.23.0 +Werkzeug==3.1.6 +sympy==1.14.0 +debugpy==1.8.20 +certifi==2026.2.25 +websocket==0.2.1 +fonttools==4.61.1 +transformers==4.57.0 +av==12.3.0 +transformers-stream-generator==0.0.4 +nvidia-cudnn-cu12==9.7.1.26 +nvidia-curand-cu12==10.3.9.55 +six==1.17.0 +fvcore==0.1.5.post20221221 +matplotlib==3.10.8 +lazy_loader==0.4 +nvidia-nccl-cu12==2.26.2 +diffusers==0.37.0 +tifffile==2025.5.10 +GitPython==3.1.46 +tokenizers==0.22.2 +eval_type_backport==0.3.1 +nvidia-cufile-cu12==1.13.0.11 +numpy==1.26.4 +filelock==3.25.0 +fsspec==2026.2.0 +nvidia-cusolver-cu12==11.7.2.55 +MarkupSafe==3.0.3 +tyro==1.0.8 +pydantic_core==2.27.2 +portalocker==3.2.0 +qwen-vl-utils==0.0.14 +click==8.3.1 +tiktoken==0.12.0 +smmap==5.0.2 +nvidia-nvtx-cu12==12.8.55 +pytz==2026.1.post1 +rich==14.2.0 +charset-normalizer==3.4.4 +tensorboard==2.20.0 +zope.event==6.1 +zope.interface==8.2 +networkx==3.4.2 +mpi4py==4.1.1 +gitdb==4.0.12 +safetensors==0.7.0 +typeguard==4.5.1 +py-cpuinfo==9.0.0 +websocket-client==1.8.0 +hf-xet==1.3.2 +wheel==0.46.3 +antlr4-python3-runtime==4.9.3 +gevent==25.9.1 +setuptools==80.9.0 +torchaudio==2.7.0+cu128 +nvidia-cufft-cu12==11.3.3.41 +greenlet==3.3.2 +docstring_parser==0.17.0 +iopath==0.1.10 +cycler==0.12.1 +tzdata==2025.3 +psutil==7.2.2 +grpcio==1.78.0 +nvidia-cusparse-cu12==12.5.7.53 +sentry-sdk==2.54.0 +httpcore==1.0.9 +opencv-python-headless==4.11.0.86 +omegaconf==2.3.0 +pandas==2.3.3 +eva-decord==0.6.1 +pip==26.0.1 +inflect==7.3.1 +jaraco.text==3.12.1 +autocommand==2.2.2 +backports.tarfile==1.2.0 +jaraco.functools==4.0.1 +zipp==3.19.2 +more-itertools==10.3.0 +tomli==2.0.1 +typing_extensions==4.12.2 +typeguard==4.3.0 +wheel==0.45.1 +platformdirs==4.2.2 +importlib_metadata==8.0.0 +jaraco.collections==5.1.0 +packaging==24.2 +jaraco.context==5.3.0 diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/wandb-metadata.json b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/wandb-metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1e14696beb71303dba97d450be2c7233172b163c --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/files/wandb-metadata.json @@ -0,0 +1,161 @@ +{ + "os": "Linux-6.8.0-94-generic-x86_64-with-glibc2.39", + "python": "CPython 3.10.19", + "startedAt": "2026-03-18T23:56:04.368758Z", + "args": [ + "--config_yaml", + "./examples/calvin/train_files/starvla_train_calvin.yaml", + "--framework.name", + "QwenPI", + "--framework.qwenvl.base_vlm", + "playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action", + "--framework.qwenvl.attn_implementation", + "flash_attention_2", + "--framework.action_model.action_dim", + "10", + "--framework.action_model.state_dim", + "10", + "--framework.action_model.future_action_window_size", + "15", + "--framework.action_model.past_action_window_size", + "0", + "--framework.action_model.action_hidden_dim", + "1024", + "--framework.action_model.hidden_size", + "1024", + "--framework.action_model.action_model_type", + "DiT-B", + "--framework.action_model.add_pos_embed", + "True", + "--framework.action_model.max_seq_len", + "1024", + "--framework.action_model.noise_beta_alpha", + "1.5", + "--framework.action_model.noise_beta_beta", + "1.0", + "--framework.action_model.noise_s", + "0.999", + "--framework.action_model.num_timestep_buckets", + "1000", + "--framework.action_model.num_inference_timesteps", + "4", + "--framework.action_model.num_target_vision_tokens", + "32", + "--datasets.vla_data.data_root_dir", + "playground/Datasets/FastUMI", + "--datasets.vla_data.data_mix", + "fastumi_pickandplace_ur5_0314-v2", + "--datasets.vla_data.include_state", + "false", + "--datasets.vla_data.per_device_batch_size", + "8", + "--datasets.vla_data.video_backend", + "torchvision_av", + "--trainer.freeze_modules", + "", + "--trainer.max_train_steps", + "20000", + "--trainer.save_interval", + "5000", + "--trainer.logging_frequency", + "50", + "--trainer.eval_interval", + "100", + "--trainer.gradient_accumulation_steps", + "1", + "--trainer.is_resume", + "true", + "--run_root_dir", + "./results/Checkpoints", + "--run_id", + "fastumi_pickandplace_qwenPI_no_state_fixgripper", + "--wandb_project", + "starVLA_FastUMI", + "--wandb_entity", + "2200011093-peking-university" + ], + "program": "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", + "codePath": "starVLA/training/train_starvla.py", + "codePathLocal": "starVLA/training/train_starvla.py", + "git": { + "remote": "https://github.com/Kaiwen-Hong/starVLA.git", + "commit": "426d297c5c5c7e9d5bfbcbe01f50f9e0f32c37e8" + }, + "email": "wangpc@berkeley.edu", + "root": "./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb", + "host": "tams02", + "executable": "/home/wangpc/miniconda3/envs/starVLA/bin/python3.10", + "cpu_count": 192, + "cpu_count_logical": 384, + "gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "gpu_count": 8, + "disk": { + "/": { + "total": "3776651378688", + "used": "157221924864" + } + }, + "memory": { + "total": "1081550508032" + }, + "gpu_nvidia": [ + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-41f2ee49-ba06-f304-cfa5-4d526d8f5673" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-91f82c0c-10ef-1f95-9f6d-1102b8e832b5" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-1f3c0889-b740-5143-e064-afeb49245756" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-49955a45-509a-e8af-a468-b9ef0449b005" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-065fc6ce-c1cd-c143-b421-32b915c9d8fd" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-d16b5acf-a100-2d1b-8138-1661892f3d26" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-b7a88059-1d3f-da1c-9903-fd4acd4936ab" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-747dc32b-b025-76e9-697d-fd33ef441b47" + } + ], + "cudaVersion": "13.1", + "writerId": "qzz58h0jyps3pafrimha4y1q78gyq6gg" +} \ No newline at end of file diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug-core.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug-core.log new file mode 100644 index 0000000000000000000000000000000000000000..ad20305eab0fbe569a48b8e1963f5f77b778afad --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug-core.log @@ -0,0 +1,8 @@ +{"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} +{"time":"2026-03-18T23:56:04.431277073Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":4113309} +{"time":"2026-03-18T23:56:04.431276793Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-4113309-4125878-4152469069/socket","Net":"unix"}} +{"time":"2026-03-18T23:56:04.607410435Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"} +{"time":"2026-03-18T23:56:04.612101623Z","level":"INFO","msg":"handleInformInit: received","streamId":"7gq2qynt","id":"1(@)"} +{"time":"2026-03-18T23:56:04.911115388Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"7gq2qynt","id":"1(@)"} +{"time":"2026-03-18T23:56:10.859212435Z","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"2as7uo7jfvas"} +{"time":"2026-03-18T23:56:11.670215941Z","level":"INFO","msg":"server: parent process exited, terminating service process"} diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug-internal.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug-internal.log new file mode 100644 index 0000000000000000000000000000000000000000..39eec98996e2619234fb931721764dc3cf29ec0a --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug-internal.log @@ -0,0 +1,6 @@ +{"time":"2026-03-18T23:56:04.612191514Z","level":"INFO","msg":"stream: starting","core version":"0.25.0"} +{"time":"2026-03-18T23:56:04.910816364Z","level":"INFO","msg":"stream: created new stream","id":"7gq2qynt"} +{"time":"2026-03-18T23:56:04.910974326Z","level":"INFO","msg":"handler: started","stream_id":"7gq2qynt"} +{"time":"2026-03-18T23:56:04.911100428Z","level":"INFO","msg":"stream: started","id":"7gq2qynt"} +{"time":"2026-03-18T23:56:04.911147559Z","level":"INFO","msg":"sender: started","stream_id":"7gq2qynt"} +{"time":"2026-03-18T23:56:04.911147619Z","level":"INFO","msg":"writer: started","stream_id":"7gq2qynt"} diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/logs/debug.log new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/run-7gq2qynt.wandb b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/run-7gq2qynt.wandb new file mode 100644 index 0000000000000000000000000000000000000000..30977402b08eb894463b83d7de7a007255879a32 Binary files /dev/null and b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_235604-7gq2qynt/run-7gq2qynt.wandb differ diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/config.yaml b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ed4244bb5d31c740e996749f82fb6008f1b09c42 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/config.yaml @@ -0,0 +1,172 @@ +_wandb: + value: + cli_version: 0.25.0 + e: + 4n4axaos70v69j2723nf6imhdhah3a71: + args: + - --config_yaml + - ./examples/calvin/train_files/starvla_train_calvin.yaml + - --framework.name + - QwenPI + - --framework.qwenvl.base_vlm + - playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action + - --framework.qwenvl.attn_implementation + - flash_attention_2 + - --framework.action_model.action_dim + - "10" + - --framework.action_model.state_dim + - "10" + - --framework.action_model.future_action_window_size + - "15" + - --framework.action_model.past_action_window_size + - "0" + - --framework.action_model.action_hidden_dim + - "1024" + - --framework.action_model.hidden_size + - "1024" + - --framework.action_model.action_model_type + - DiT-B + - --framework.action_model.add_pos_embed + - "True" + - --framework.action_model.max_seq_len + - "1024" + - --framework.action_model.noise_beta_alpha + - "1.5" + - --framework.action_model.noise_beta_beta + - "1.0" + - --framework.action_model.noise_s + - "0.999" + - --framework.action_model.num_timestep_buckets + - "1000" + - --framework.action_model.num_inference_timesteps + - "4" + - --framework.action_model.num_target_vision_tokens + - "32" + - --datasets.vla_data.data_root_dir + - playground/Datasets/FastUMI + - --datasets.vla_data.data_mix + - fastumi_pickandplace_ur5_0314-v2 + - --datasets.vla_data.include_state + - "false" + - --datasets.vla_data.per_device_batch_size + - "8" + - --datasets.vla_data.video_backend + - torchvision_av + - --trainer.freeze_modules + - "" + - --trainer.max_train_steps + - "20000" + - --trainer.save_interval + - "5000" + - --trainer.logging_frequency + - "50" + - --trainer.eval_interval + - "100" + - --trainer.gradient_accumulation_steps + - "1" + - --trainer.is_resume + - "true" + - --run_root_dir + - ./results/Checkpoints + - --run_id + - fastumi_pickandplace_qwenPI_no_state_fixgripper + - --wandb_project + - starVLA_FastUMI + - --wandb_entity + - 2200011093-peking-university + codePath: starVLA/training/train_starvla.py + codePathLocal: starVLA/training/train_starvla.py + cpu_count: 192 + cpu_count_logical: 384 + cudaVersion: "13.1" + disk: + /: + total: "3776651378688" + used: "155746295808" + email: wangpc@berkeley.edu + executable: /home/wangpc/miniconda3/envs/starVLA/bin/python3.10 + git: + commit: 426d297c5c5c7e9d5bfbcbe01f50f9e0f32c37e8 + remote: https://github.com/Kaiwen-Hong/starVLA.git + gpu: NVIDIA RTX PRO 6000 Blackwell Server Edition + gpu_count: 8 + gpu_nvidia: + - architecture: Blackwell + cudaCores: 24064 + memoryTotal: "102641958912" + name: NVIDIA RTX PRO 6000 Blackwell Server Edition + uuid: GPU-41f2ee49-ba06-f304-cfa5-4d526d8f5673 + - architecture: Blackwell + cudaCores: 24064 + memoryTotal: "102641958912" + name: NVIDIA RTX PRO 6000 Blackwell Server Edition + uuid: GPU-91f82c0c-10ef-1f95-9f6d-1102b8e832b5 + - architecture: Blackwell + cudaCores: 24064 + memoryTotal: "102641958912" + name: NVIDIA RTX PRO 6000 Blackwell Server Edition + uuid: GPU-1f3c0889-b740-5143-e064-afeb49245756 + - architecture: Blackwell + cudaCores: 24064 + memoryTotal: "102641958912" + name: NVIDIA RTX PRO 6000 Blackwell Server Edition + uuid: GPU-49955a45-509a-e8af-a468-b9ef0449b005 + - architecture: Blackwell + cudaCores: 24064 + memoryTotal: "102641958912" + name: NVIDIA RTX PRO 6000 Blackwell Server Edition + uuid: GPU-065fc6ce-c1cd-c143-b421-32b915c9d8fd + - architecture: Blackwell + cudaCores: 24064 + memoryTotal: "102641958912" + name: NVIDIA RTX PRO 6000 Blackwell Server Edition + uuid: GPU-d16b5acf-a100-2d1b-8138-1661892f3d26 + - architecture: Blackwell + cudaCores: 24064 + memoryTotal: "102641958912" + name: NVIDIA RTX PRO 6000 Blackwell Server Edition + uuid: GPU-b7a88059-1d3f-da1c-9903-fd4acd4936ab + - architecture: Blackwell + cudaCores: 24064 + memoryTotal: "102641958912" + name: NVIDIA RTX PRO 6000 Blackwell Server Edition + uuid: GPU-747dc32b-b025-76e9-697d-fd33ef441b47 + host: tams02 + memory: + total: "1081552125952" + os: Linux-6.8.0-106-generic-x86_64-with-glibc2.39 + program: /scratch/wangpc/starVLA/starVLA/training/train_starvla.py + python: CPython 3.10.19 + root: ./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb + startedAt: "2026-03-19T05:47:40.943505Z" + writerId: 4n4axaos70v69j2723nf6imhdhah3a71 + m: [] + python_version: 3.10.19 + t: + "1": + - 1 + - 11 + - 41 + - 49 + - 63 + - 71 + - 80 + - 83 + "2": + - 1 + - 11 + - 41 + - 49 + - 63 + - 71 + - 80 + - 83 + "3": + - 2 + - 13 + - 61 + "4": 3.10.19 + "5": 0.25.0 + "6": 4.57.0 + "12": 0.25.0 + "13": linux-x86_64 diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/output.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..e9929fd8e9bc91733e76a08fe6ac4ce73f0bb253 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/output.log @@ -0,0 +1,313 @@ +03/19 [05:47:42] INFO  | >> ***** Training Configuration ***** ]8;id=208496;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=750800;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#341\341]8;;\ +  INFO  | >> Total optimization steps = 20000 ]8;id=471029;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=617889;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#342\342]8;;\ +  INFO  | >> Per device batch size = 8 ]8;id=844962;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=167414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#343\343]8;;\ +  INFO  | >> Gradient accumulation steps = 1 ]8;id=225772;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=800581;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#344\344]8;;\ +  INFO  | >> Total batch size = 64 ]8;id=376417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=888662;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#345\345]8;;\ + 6%|█████████▉ | 1100/20000 [46:11<13:11:28, 2.51s/it, data_times=0.000, model_times=2.533] +03/19 [05:49:49] INFO  | >> Step 10050, Loss: {'action_dit_loss': 0.026580339297652245, 'data_time': 0.0032866749999698186, 'model_time': 2.5357785460000173, 'learning_rate': 7.556338017352677e-06, 'epoch': 24.39}) ]8;id=765179;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=481741;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [05:51:55] INFO  | >> Step 10100, Loss: {'action_dit_loss': 0.08015915006399155, 'mse_score': 0.0013406548649072647, 'data_time': 0.0014823180000007596, 'model_time': 2.4981012589999523, 'learning_rate': ]8;id=82627;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=578856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  7.512417635688234e-06, 'epoch': 24.51})   +03/19 [05:54:01] INFO  | >> Step 10150, Loss: {'action_dit_loss': 0.019985660910606384, 'data_time': 0.0022012179999819637, 'model_time': 2.5305008509999425, 'learning_rate': 7.46824367137146e-06, 'epoch': 24.64}) ]8;id=928463;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=903565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [05:56:07] INFO  | >> Step 10200, Loss: {'action_dit_loss': 0.056652095168828964, 'mse_score': 0.0026800818741321564, 'data_time': 0.00014865199989344546, 'model_time': 2.487439383000037, 'learning_rate': ]8;id=72933;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=48050;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  7.423820968575337e-06, 'epoch': 24.76})   +03/19 [05:58:13] INFO  | >> Step 10250, Loss: {'action_dit_loss': 0.015319587662816048, 'data_time': 0.0013806969999450303, 'model_time': 2.495630711999979, 'learning_rate': 7.3791543987498245e-06, 'epoch': 24.88}) ]8;id=83667;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=896865;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:00:19] INFO  | >> Step 10300, Loss: {'action_dit_loss': 0.015317249111831188, 'mse_score': 0.001660407893359661, 'data_time': 0.002019641999936539, 'model_time': 2.507913429000041, 'learning_rate': ]8;id=291476;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=475435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  7.3342488600876525e-06, 'epoch': 25.0})   +03/19 [06:02:24] INFO  | >> Step 10350, Loss: {'action_dit_loss': 0.022628892213106155, 'data_time': 0.00014791900002819602, 'model_time': 2.5098487080001632, 'learning_rate': 7.289109276987173e-06, 'epoch': 25.12}) ]8;id=388162;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=372528;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:04:30] INFO  | >> Step 10400, Loss: {'action_dit_loss': 0.02317742444574833, 'mse_score': 0.0016132937744259834, 'data_time': 0.001349164999965069, 'model_time': 2.4991954290001104, 'learning_rate': ]8;id=982153;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=716751;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  7.24374059951235e-06, 'epoch': 25.24})   +03/19 [06:06:37] INFO  | >> Step 10450, Loss: {'action_dit_loss': 0.03730243444442749, 'data_time': 0.001268411999944874, 'model_time': 2.5102796090000083, 'learning_rate': 7.1981478028499265e-06, 'epoch': 25.36}) ]8;id=179451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=560086;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:08:43] INFO  | >> Step 10500, Loss: {'action_dit_loss': 0.02758161537349224, 'mse_score': 0.001486279908567667, 'data_time': 0.0016028210000058607, 'model_time': 2.540297007000163, 'learning_rate': ]8;id=397887;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=283060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  7.1523358867638425e-06, 'epoch': 25.49})   +03/19 [06:10:48] INFO  | >> Step 10550, Loss: {'action_dit_loss': 0.010818096809089184, 'data_time': 0.0011486870000680938, 'model_time': 2.5248804670000027, 'learning_rate': 7.106309875046947e-06, 'epoch': 25.61}) ]8;id=230283;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=717870;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:12:54] INFO  | >> Step 10600, Loss: {'action_dit_loss': 0.07540994137525558, 'mse_score': 0.0035265933722257612, 'data_time': 0.0016254360000402812, 'model_time': 2.487768051999865, 'learning_rate': ]8;id=58655;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=240174;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  7.060074814970095e-06, 'epoch': 25.73})   +03/19 [06:15:00] INFO  | >> Step 10650, Loss: {'action_dit_loss': 0.008698864839971066, 'data_time': 0.0015600659999108757, 'model_time': 2.5062889829998767, 'learning_rate': 7.013635776728643e-06, 'epoch': 25.85}) ]8;id=420651;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=280746;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:17:06] INFO  | >> Step 10700, Loss: {'action_dit_loss': 0.030067235231399536, 'mse_score': 0.0023055106401443483, 'data_time': 0.001539606000051208, 'model_time': 2.526803231000031, 'learning_rate': ]8;id=594731;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=918938;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.966997852886455e-06, 'epoch': 25.97})   +03/19 [06:19:11] INFO  | >> Step 10750, Loss: {'action_dit_loss': 0.04184827208518982, 'data_time': 0.0015425519995915238, 'model_time': 2.535279429000184, 'learning_rate': 6.92016615781744e-06, 'epoch': 26.09}) ]8;id=523481;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=414850;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:21:17] INFO  | >> Step 10800, Loss: {'action_dit_loss': 0.021111924201250076, 'mse_score': 0.0027741609141230584, 'data_time': 0.0012784679997821513, 'model_time': 2.515665553999952, 'learning_rate': ]8;id=149811;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=277746;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.873145827144714e-06, 'epoch': 26.21})   +03/19 [06:23:24] INFO  | >> Step 10850, Loss: {'action_dit_loss': 0.053924646228551865, 'data_time': 0.0001557900000079826, 'model_time': 2.496524430000136, 'learning_rate': 6.8259420171774005e-06, 'epoch': 26.33}) ]8;id=565158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=275504;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:25:30] INFO  | >> Step 10900, Loss: {'action_dit_loss': 0.010644868016242981, 'mse_score': 0.0013568926602602004, 'data_time': 0.00256774299987228, 'model_time': 2.5176043110000137, 'learning_rate': ]8;id=611878;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=418801;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.7785599043452e-06, 'epoch': 26.46})   +03/19 [06:27:36] INFO  | >> Step 10950, Loss: {'action_dit_loss': 0.011191333644092083, 'data_time': 0.00015235099999699742, 'model_time': 2.5053374210001493, 'learning_rate': 6.731004684630736e-06, 'epoch': 26.58}) ]8;id=517488;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=95325;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:29:42] INFO  | >> Step 11000, Loss: {'action_dit_loss': 0.011577037163078785, 'mse_score': 0.001236850768327713, 'data_time': 0.0021252490000733815, 'model_time': 2.5045453329998963, 'learning_rate': ]8;id=160265;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=657924;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.683281572999748e-06, 'epoch': 26.7})   +03/19 [06:31:47] INFO  | >> Step 11050, Loss: {'action_dit_loss': 0.018227482214570045, 'data_time': 0.0021702919998460857, 'model_time': 2.501598176999778, 'learning_rate': 6.635395802829216e-06, 'epoch': 26.82}) ]8;id=625380;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=66613;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:33:54] INFO  | >> Step 11100, Loss: {'action_dit_loss': 0.007904070429503918, 'mse_score': 0.0015211723744869231, 'data_time': 0.0001455520000490651, 'model_time': 2.532634245999816, 'learning_rate': ]8;id=554816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=263626;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.587352625333464e-06, 'epoch': 26.94})   +03/19 [06:35:59] INFO  | >> Step 11150, Loss: {'action_dit_loss': 0.022702619433403015, 'data_time': 0.0014929180001672648, 'model_time': 2.496340779000093, 'learning_rate': 6.539157308988302e-06, 'epoch': 27.06}) ]8;id=713328;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=755731;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:38:05] INFO  | >> Step 11200, Loss: {'action_dit_loss': 0.007328178267925978, 'mse_score': 0.0009744021110236645, 'data_time': 0.00015412199991260422, 'model_time': 2.5166521480000483, 'learning_rate': ]8;id=787352;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=279786;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.490815138953276e-06, 'epoch': 27.18})   +03/19 [06:40:12] INFO  | >> Step 11250, Loss: {'action_dit_loss': 0.024457450956106186, 'data_time': 0.00014411199981623213, 'model_time': 2.539016976000312, 'learning_rate': 6.4423314164921005e-06, 'epoch': 27.31}) ]8;id=307757;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=455884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:42:18] INFO  | >> Step 11300, Loss: {'action_dit_loss': 0.009502829983830452, 'mse_score': 0.0013215416111052036, 'data_time': 0.00393990299971847, 'model_time': 2.5208618060000845, 'learning_rate': ]8;id=918398;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=754639;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.393711458391305e-06, 'epoch': 27.43})   +03/19 [06:44:24] INFO  | >> Step 11350, Loss: {'action_dit_loss': 0.009456205181777477, 'data_time': 0.00013964200024929596, 'model_time': 2.4938342599998577, 'learning_rate': 6.344960596377189e-06, 'epoch': 27.55}) ]8;id=532342;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=956959;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:46:30] INFO  | >> Step 11400, Loss: {'action_dit_loss': 0.022283628582954407, 'mse_score': 0.0014309778809547425, 'data_time': 0.00015658200027246494, 'model_time': 2.523174567999831, 'learning_rate': ]8;id=882554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=669987;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.296084176531149e-06, 'epoch': 27.67})   +03/19 [06:48:36] INFO  | >> Step 11450, Loss: {'action_dit_loss': 0.013124692253768444, 'data_time': 0.003108544000042457, 'model_time': 2.5160250570002063, 'learning_rate': 6.247087558703405e-06, 'epoch': 27.79}) ]8;id=392077;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=799550;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:50:42] INFO  | >> Step 11500, Loss: {'action_dit_loss': 0.010664165951311588, 'mse_score': 0.0019468072801828384, 'data_time': 0.0013495599996531382, 'model_time': 2.5325021090002338, 'learning_rate': ]8;id=967242;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=556116;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.197976115925245e-06, 'epoch': 27.91})   +03/19 [06:52:48] INFO  | >> Step 11550, Loss: {'action_dit_loss': 0.01697404868900776, 'data_time': 0.00014403899967874167, 'model_time': 2.5158897010005603, 'learning_rate': 6.148755233819807e-06, 'epoch': 28.03}) ]8;id=512340;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=20422;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:54:54] INFO  | >> Step 11600, Loss: {'action_dit_loss': 0.035597946494817734, 'mse_score': 0.0016932208091020584, 'data_time': 0.00015901099959592102, 'model_time': 2.4998544709997077, 'learning_rate': ]8;id=872064;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=845964;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.0994303100114795e-06, 'epoch': 28.16})   +03/19 [06:57:00] INFO  | >> Step 11650, Loss: {'action_dit_loss': 0.038579609245061874, 'data_time': 0.0001685030001681298, 'model_time': 2.537384457000371, 'learning_rate': 6.050006753534001e-06, 'epoch': 28.28}) ]8;id=920659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=594916;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [06:59:06] INFO  | >> Step 11700, Loss: {'action_dit_loss': 0.01836400292813778, 'mse_score': 0.0012123254127800465, 'data_time': 0.002298917000189249, 'model_time': 2.5220551889997296, 'learning_rate': ]8;id=509597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=855662;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.0004899842372925e-06, 'epoch': 28.4})   +03/19 [07:01:12] INFO  | >> Step 11750, Loss: {'action_dit_loss': 0.008970007300376892, 'data_time': 0.00014271700001700083, 'model_time': 2.49686597300024, 'learning_rate': 5.950885432193109e-06, 'epoch': 28.52}) ]8;id=131869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=134628;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:03:19] INFO  | >> Step 11800, Loss: {'action_dit_loss': 0.031816381961107254, 'mse_score': 0.0018311955034732818, 'data_time': 0.0022284100004981156, 'model_time': 2.5151900959999693, 'learning_rate': ]8;id=173148;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=277932;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.901198537099578e-06, 'epoch': 28.64})   +03/19 [07:05:24] INFO  | >> Step 11850, Loss: {'action_dit_loss': 0.009114233776926994, 'data_time': 0.0022492309999506688, 'model_time': 2.5180832420001025, 'learning_rate': 5.851434747684662e-06, 'epoch': 28.76}) ]8;id=222086;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=974036;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:07:30] INFO  | >> Step 11900, Loss: {'action_dit_loss': 0.09596478939056396, 'mse_score': 0.0024344921112060547, 'data_time': 0.00016331899951183004, 'model_time': 2.502821467999638, 'learning_rate': ]8;id=210922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=747581;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.801599521108661e-06, 'epoch': 28.88})   +03/19 [07:09:36] INFO  | >> Step 11950, Loss: {'action_dit_loss': 0.014373517595231533, 'data_time': 0.0013443719999486348, 'model_time': 2.5094225800003187, 'learning_rate': 5.751698322365761e-06, 'epoch': 29.0}) ]8;id=391559;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=459381;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:11:42] INFO  | >> Step 12000, Loss: {'action_dit_loss': 0.008062909357249737, 'mse_score': 0.001265143696218729, 'data_time': 0.002075011999295384, 'model_time': 2.5102745800004413, 'learning_rate': ]8;id=259947;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=235612;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.701736623684737e-06, 'epoch': 29.13})   +03/19 [07:13:49] INFO  | >> Step 12050, Loss: {'action_dit_loss': 0.007639323361217976, 'data_time': 0.0027050539993069833, 'model_time': 2.5315376099997593, 'learning_rate': 5.65171990392887e-06, 'epoch': 29.25}) ]8;id=580828;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=241292;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:15:56] INFO  | >> Step 12100, Loss: {'action_dit_loss': 0.009707263670861721, 'mse_score': 0.001180171500891447, 'data_time': 0.0016475379998155404, 'model_time': 2.4934251360000417, 'learning_rate': ]8;id=742225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=661759;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.6016536479951165e-06, 'epoch': 29.37})   +03/19 [07:18:01] INFO  | >> Step 12150, Loss: {'action_dit_loss': 0.011881484650075436, 'data_time': 0.00016230999972322024, 'model_time': 2.5292478609999307, 'learning_rate': 5.551543346212632e-06, 'epoch': 29.49}) ]8;id=32938;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=901393;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:20:07] INFO  | >> Step 12200, Loss: {'action_dit_loss': 0.009149064309895039, 'mse_score': 0.002249196171760559, 'data_time': 0.0001536800000394578, 'model_time': 2.542907715000183, 'learning_rate': ]8;id=292004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=701474;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.501394493740705e-06, 'epoch': 29.61})   +03/19 [07:22:13] INFO  | >> Step 12250, Loss: {'action_dit_loss': 0.013338332064449787, 'data_time': 0.0001591299997016904, 'model_time': 2.5060846490005133, 'learning_rate': 5.451212589966132e-06, 'epoch': 29.73}) ]8;id=758490;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=980957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:24:19] INFO  | >> Step 12300, Loss: {'action_dit_loss': 0.011635622940957546, 'mse_score': 0.0016192801296710968, 'data_time': 0.002573426000708423, 'model_time': 2.5368756779998876, 'learning_rate': ]8;id=254801;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=822733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.401003137900158e-06, 'epoch': 29.85})   +03/19 [07:26:25] INFO  | >> Step 12350, Loss: {'action_dit_loss': 0.01573021151125431, 'data_time': 0.00016946200048550963, 'model_time': 2.4875709779998942, 'learning_rate': 5.350771643575015e-06, 'epoch': 29.98}) ]8;id=98907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=101639;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:28:31] INFO  | >> Step 12400, Loss: {'action_dit_loss': 0.01095390785485506, 'mse_score': 0.0019335739314556121, 'data_time': 0.00018240499957755674, 'model_time': 2.5194938430004186, 'learning_rate': ]8;id=431071;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=489710;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.300523615440114e-06, 'epoch': 30.1})   +03/19 [07:30:37] INFO  | >> Step 12450, Loss: {'action_dit_loss': 0.01334256213158369, 'data_time': 0.00016083899936347734, 'model_time': 2.5116920820000814, 'learning_rate': 5.250264563757981e-06, 'epoch': 30.22}) ]8;id=685197;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=677568;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:32:43] INFO  | >> Step 12500, Loss: {'action_dit_loss': 0.009158330038189888, 'mse_score': 0.0014460640028119086, 'data_time': 0.0034223929997097002, 'model_time': 2.501701486999991, 'learning_rate': 5.2e-06, ]8;id=355784;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=839482;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 30.34})   +03/19 [07:34:49] INFO  | >> Step 12550, Loss: {'action_dit_loss': 0.012741552665829659, 'data_time': 0.00014868299967929488, 'model_time': 2.5176529489999666, 'learning_rate': 5.149735436242021e-06, 'epoch': 30.46}) ]8;id=199448;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=562336;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:36:55] INFO  | >> Step 12600, Loss: {'action_dit_loss': 0.01925528049468994, 'mse_score': 0.002171631529927254, 'data_time': 0.0013828800001647323, 'model_time': 2.7293998200002534, 'learning_rate': ]8;id=292075;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=485100;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.099476384559887e-06, 'epoch': 30.58})   +03/19 [07:39:01] INFO  | >> Step 12650, Loss: {'action_dit_loss': 0.009842115454375744, 'data_time': 0.0030625859999418026, 'model_time': 2.5014360380000653, 'learning_rate': 5.049228356424984e-06, 'epoch': 30.7}) ]8;id=464656;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=847272;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:41:07] INFO  | >> Step 12700, Loss: {'action_dit_loss': 0.011280409060418606, 'mse_score': 0.0009937572292983532, 'data_time': 0.00014442700012295973, 'model_time': 2.505208450000282, 'learning_rate': ]8;id=53045;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=683823;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.998996862099842e-06, 'epoch': 30.83})   +03/19 [07:43:12] INFO  | >> Step 12750, Loss: {'action_dit_loss': 0.026910606771707535, 'data_time': 0.0013685300000361167, 'model_time': 2.5056728869994913, 'learning_rate': 4.948787410033869e-06, 'epoch': 30.95}) ]8;id=971366;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=790170;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:45:18] INFO  | >> Step 12800, Loss: {'action_dit_loss': 0.02056683786213398, 'mse_score': 0.0013695746660232545, 'data_time': 0.00013992700041853823, 'model_time': 2.4978026339995267, 'learning_rate': ]8;id=509231;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=504740;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.898605506259296e-06, 'epoch': 31.07})   +03/19 [07:47:24] INFO  | >> Step 12850, Loss: {'action_dit_loss': 0.009554321877658367, 'data_time': 0.00013334799950825982, 'model_time': 2.5034413630000927, 'learning_rate': 4.848456653787369e-06, 'epoch': 31.19}) ]8;id=61483;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=172634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:49:32] INFO  | >> Step 12900, Loss: {'action_dit_loss': 0.015125143341720104, 'mse_score': 0.0020826196298003195, 'data_time': 0.0018482519999452052, 'model_time': 2.489206474000639, 'learning_rate': ]8;id=971524;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=822157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.798346352004886e-06, 'epoch': 31.31})   +03/19 [07:51:37] INFO  | >> Step 12950, Loss: {'action_dit_loss': 0.012152581475675106, 'data_time': 0.0013864820002709166, 'model_time': 2.5381625429999985, 'learning_rate': 4.748280096071131e-06, 'epoch': 31.43}) ]8;id=730429;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=765990;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:53:43] INFO  | >> Step 13000, Loss: {'action_dit_loss': 0.022017091512680054, 'mse_score': 0.0021599233150482178, 'data_time': 0.001576310000018566, 'model_time': 2.490263145999961, 'learning_rate': ]8;id=510311;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=162316;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.6982633763152645e-06, 'epoch': 31.55})   +03/19 [07:55:49] INFO  | >> Step 13050, Loss: {'action_dit_loss': 0.019596291705965996, 'data_time': 0.0015561019999950076, 'model_time': 2.4902500039997904, 'learning_rate': 4.648301677634241e-06, 'epoch': 31.67}) ]8;id=607314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=771476;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [07:57:55] INFO  | >> Step 13100, Loss: {'action_dit_loss': 0.014892357401549816, 'mse_score': 0.0027485158294439315, 'data_time': 0.0013906550002502627, 'model_time': 2.487653510999735, 'learning_rate': ]8;id=59942;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=52578;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.598400478891339e-06, 'epoch': 31.8})   +03/19 [08:00:01] INFO  | >> Step 13150, Loss: {'action_dit_loss': 0.011644832789897919, 'data_time': 0.0013915059998907964, 'model_time': 2.484358370999871, 'learning_rate': 4.54856525231534e-06, 'epoch': 31.92}) ]8;id=894141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=556926;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:02:07] INFO  | >> Step 13200, Loss: {'action_dit_loss': 0.020858941599726677, 'mse_score': 0.001570889912545681, 'data_time': 0.0013386969985731412, 'model_time': 2.491503973998988, 'learning_rate': ]8;id=892697;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=194851;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.4988014629004244e-06, 'epoch': 32.04})   +03/19 [08:04:13] INFO  | >> Step 13250, Loss: {'action_dit_loss': 0.005972688551992178, 'data_time': 0.0014301490009529516, 'model_time': 2.531384044999868, 'learning_rate': 4.449114567806891e-06, 'epoch': 32.16}) ]8;id=903682;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=246629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:06:20] INFO  | >> Step 13300, Loss: {'action_dit_loss': 0.011517539620399475, 'mse_score': 0.001172679103910923, 'data_time': 0.0019487919998937286, 'model_time': 2.5367145059990435, 'learning_rate': ]8;id=597347;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=258175;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.3995100157627095e-06, 'epoch': 32.28})   +03/19 [08:08:25] INFO  | >> Step 13350, Loss: {'action_dit_loss': 0.007388588972389698, 'data_time': 0.0014445039996644482, 'model_time': 2.5365985900007217, 'learning_rate': 4.349993246466e-06, 'epoch': 32.4}) ]8;id=85965;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=439589;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:10:32] INFO  | >> Step 13400, Loss: {'action_dit_loss': 0.019561592489480972, 'mse_score': 0.0025878313928842543, 'data_time': 0.0012187660013296409, 'model_time': 2.5284237960004248, 'learning_rate': ]8;id=331737;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=980110;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.300569689988521e-06, 'epoch': 32.52})   +03/19 [08:12:38] INFO  | >> Step 13450, Loss: {'action_dit_loss': 0.02118481509387493, 'data_time': 0.0012705529989034403, 'model_time': 2.490394981999998, 'learning_rate': 4.2512447661801944e-06, 'epoch': 32.65}) ]8;id=329445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=250280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:14:44] INFO  | >> Step 13500, Loss: {'action_dit_loss': 0.01132649090141058, 'mse_score': 0.002187773957848549, 'data_time': 0.0013386909995460883, 'model_time': 2.5130159000000276, 'learning_rate': ]8;id=676856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=314569;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.202023884074755e-06, 'epoch': 32.77})   +03/19 [08:16:50] INFO  | >> Step 13550, Loss: {'action_dit_loss': 0.0265484806150198, 'data_time': 0.0014810299999226118, 'model_time': 2.5040521649989387, 'learning_rate': 4.152912441296597e-06, 'epoch': 32.89}) ]8;id=981188;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=76066;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:18:56] INFO  | >> Step 13600, Loss: {'action_dit_loss': 0.028011953458189964, 'mse_score': 0.0016802601516246797, 'data_time': 0.0013304759995662607, 'model_time': 2.5021371059992816, 'learning_rate': ]8;id=104837;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=76819;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.103915823468852e-06, 'epoch': 33.01})   +03/19 [08:21:02] INFO  | >> Step 13650, Loss: {'action_dit_loss': 0.009144357405602932, 'data_time': 0.0013532350003515603, 'model_time': 2.532225599999947, 'learning_rate': 4.055039403622812e-06, 'epoch': 33.13}) ]8;id=138890;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=978593;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:23:09] INFO  | >> Step 13700, Loss: {'action_dit_loss': 0.026300877332687378, 'mse_score': 0.0011002352461218835, 'data_time': 0.0016125050005939556, 'model_time': 2.4906881150000117, 'learning_rate': ]8;id=256150;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=387477;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.006288541608698e-06, 'epoch': 33.25})   +03/19 [08:25:16] INFO  | >> Step 13750, Loss: {'action_dit_loss': 0.005249501205980778, 'data_time': 0.0014326229993457673, 'model_time': 2.526771382001243, 'learning_rate': 3.9576685835079e-06, 'epoch': 33.37}) ]8;id=569605;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=737715;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:27:22] INFO  | >> Step 13800, Loss: {'action_dit_loss': 0.013454235158860683, 'mse_score': 0.0011584833264350891, 'data_time': 0.0015308820002246648, 'model_time': 2.518635506999999, 'learning_rate': ]8;id=554634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=8203;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  3.909184861046725e-06, 'epoch': 33.5})   +03/19 [08:29:28] INFO  | >> Step 13850, Loss: {'action_dit_loss': 0.015876710414886475, 'data_time': 0.0015611420003551757, 'model_time': 2.5246681429998716, 'learning_rate': 3.8608426910116996e-06, 'epoch': 33.62}) ]8;id=977017;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=695613;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:31:34] INFO  | >> Step 13900, Loss: {'action_dit_loss': 0.010629887692630291, 'mse_score': 0.0007629116531461477, 'data_time': 0.0013268709990370553, 'model_time': 2.4907616569998936, 'learning_rate': ]8;id=277312;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=121035;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  3.8126473746665356e-06, 'epoch': 33.74})   +03/19 [08:33:39] INFO  | >> Step 13950, Loss: {'action_dit_loss': 0.011389513500034809, 'data_time': 0.0014806110011704732, 'model_time': 2.5310126220010716, 'learning_rate': 3.764604197170784e-06, 'epoch': 33.86}) ]8;id=162998;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=285577;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:35:46] INFO  | >> Step 14000, Loss: {'action_dit_loss': 0.0108072180300951, 'mse_score': 0.0019306620582938195, 'data_time': 0.0014379879994521616, 'model_time': 2.5010269740014337, 'learning_rate': ]8;id=359536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=213487;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  3.716718427000253e-06, 'epoch': 33.98})   +03/19 [08:37:52] INFO  | >> Step 14050, Loss: {'action_dit_loss': 0.07003946602344513, 'data_time': 0.0015613779996783705, 'model_time': 2.520530711999527, 'learning_rate': 3.6689953153692636e-06, 'epoch': 34.1}) ]8;id=529959;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=512262;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:39:59] INFO  | >> Step 14100, Loss: {'action_dit_loss': 0.00379234179854393, 'mse_score': 0.00161957535892725, 'data_time': 0.0013785549999738578, 'model_time': 2.53424186400116, 'learning_rate': ]8;id=53266;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=96781;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  3.6214400956548005e-06, 'epoch': 34.22})   +03/19 [08:42:05] INFO  | >> Step 14150, Loss: {'action_dit_loss': 0.007672375533729792, 'data_time': 0.003064778999032569, 'model_time': 2.49009934499918, 'learning_rate': 3.574057982822601e-06, 'epoch': 34.34}) ]8;id=46228;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=3717;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:44:11] INFO  | >> Step 14200, Loss: {'action_dit_loss': 0.011609070003032684, 'mse_score': 0.0017079705372452735, 'data_time': 0.0013880240003345534, 'model_time': 2.529141671000616, 'learning_rate': ]8;id=274680;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=169430;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  3.526854172855288e-06, 'epoch': 34.47})   +03/19 [08:46:17] INFO  | >> Step 14250, Loss: {'action_dit_loss': 0.019777020439505577, 'data_time': 0.0001425909995305119, 'model_time': 2.493332484000348, 'learning_rate': 3.4798338421825587e-06, 'epoch': 34.59}) ]8;id=448462;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=588153;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:48:24] INFO  | >> Step 14300, Loss: {'action_dit_loss': 0.014684435911476612, 'mse_score': 0.0018073435872793197, 'data_time': 0.00014123999972071033, 'model_time': 2.5180950190006115, 'learning_rate': ]8;id=926004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=724586;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  3.433002147113546e-06, 'epoch': 34.71})   +03/19 [08:50:30] INFO  | >> Step 14350, Loss: {'action_dit_loss': 0.015270586125552654, 'data_time': 0.0024793840002530487, 'model_time': 2.5142509489996883, 'learning_rate': 3.3863642232713582e-06, 'epoch': 34.83}) ]8;id=875136;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=387151;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:52:36] INFO  | >> Step 14400, Loss: {'action_dit_loss': 0.0035689801443368196, 'mse_score': 0.0006522470153868199, 'data_time': 0.0021479829993040767, 'model_time': 2.5345348160008143, 'learning_rate': ]8;id=133636;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=43860;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  3.339925185029906e-06, 'epoch': 34.95})   +03/19 [08:54:42] INFO  | >> Step 14450, Loss: {'action_dit_loss': 0.004695647396147251, 'data_time': 0.0001459499999327818, 'model_time': 2.5089053100000456, 'learning_rate': 3.2936901249530536e-06, 'epoch': 35.07}) ]8;id=834794;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=902512;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [08:56:49] INFO  | >> Step 14500, Loss: {'action_dit_loss': 0.0032372267451137304, 'mse_score': 0.0017341950908303261, 'data_time': 0.002445731999614509, 'model_time': 2.531153156000073, 'learning_rate': ]8;id=715198;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=261650;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  3.2476641132361596e-06, 'epoch': 35.19})   +03/19 [08:58:55] INFO  | >> Step 14550, Loss: {'action_dit_loss': 0.01960401050746441, 'data_time': 0.0001468600003136089, 'model_time': 2.534383035999781, 'learning_rate': 3.201852197150075e-06, 'epoch': 35.32}) ]8;id=587080;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=927082;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:01:01] INFO  | >> Step 14600, Loss: {'action_dit_loss': 0.023113347589969635, 'mse_score': 0.00172332301735878, 'data_time': 0.0022367120000126306, 'model_time': 2.523027977998936, 'learning_rate': ]8;id=162060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=970733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  3.156259400487651e-06, 'epoch': 35.44})   +03/19 [09:03:07] INFO  | >> Step 14650, Loss: {'action_dit_loss': 0.004971839487552643, 'data_time': 0.002314081999429618, 'model_time': 2.531274098000722, 'learning_rate': 3.1108907230128284e-06, 'epoch': 35.56}) ]8;id=838742;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=850155;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:05:13] INFO  | >> Step 14700, Loss: {'action_dit_loss': 0.05629078298807144, 'mse_score': 0.0007434958592057228, 'data_time': 0.0014718809998157667, 'model_time': 2.494817853999848, 'learning_rate': ]8;id=188073;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=772343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  3.065751139912349e-06, 'epoch': 35.68})   +03/19 [09:07:19] INFO  | >> Step 14750, Loss: {'action_dit_loss': 0.013539525680243969, 'data_time': 0.0029937620001874166, 'model_time': 2.5130043789995398, 'learning_rate': 3.020845601250176e-06, 'epoch': 35.8}) ]8;id=431712;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=841204;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:09:25] INFO  | >> Step 14800, Loss: {'action_dit_loss': 0.004377595614641905, 'mse_score': 0.0006868408992886544, 'data_time': 0.00016141199921548832, 'model_time': 2.5232777310011443, 'learning_rate': ]8;id=260222;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=279766;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.976179031424665e-06, 'epoch': 35.92})   +03/19 [09:11:32] INFO  | >> Step 14850, Loss: {'action_dit_loss': 0.00651693856343627, 'data_time': 0.0001462340005673468, 'model_time': 2.518490106000172, 'learning_rate': 2.9317563286285412e-06, 'epoch': 36.04}) ]8;id=401124;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=914533;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:13:39] INFO  | >> Step 14900, Loss: {'action_dit_loss': 0.006398250348865986, 'mse_score': 0.000985503662377596, 'data_time': 0.0014890449983795406, 'model_time': 2.5144851240002026, 'learning_rate': ]8;id=209267;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=856253;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.8875823643117662e-06, 'epoch': 36.17})   +03/19 [09:15:44] INFO  | >> Step 14950, Loss: {'action_dit_loss': 0.014009742997586727, 'data_time': 0.00016162599968083669, 'model_time': 2.4960463600000367, 'learning_rate': 2.8436619826473237e-06, 'epoch': 36.29}) ]8;id=860394;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=833980;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:17:51] INFO  | >> Step 15000, Loss: {'action_dit_loss': 0.0690760388970375, 'mse_score': 0.001928502507507801, 'data_time': 0.002262673000586801, 'model_time': 2.4876358609999443, 'learning_rate': ]8;id=692094;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=202511;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.800000000000001e-06, 'epoch': 36.41})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/checkpoints/steps_15000 +03/19 [09:17:59] INFO  | >> 📊 Saving accessed configuration... ]8;id=810891;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=292683;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#240\240]8;;\ +  INFO  | >> ✅ Configuration files saved ]8;id=884642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=562262;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\ +03/19 [09:20:04] INFO  | >> Step 15050, Loss: {'action_dit_loss': 0.007578750140964985, 'data_time': 0.00016154699915205128, 'model_time': 2.506019179001669, 'learning_rate': 2.756601204398218e-06, 'epoch': 36.53}) ]8;id=919641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=273903;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:22:11] INFO  | >> Step 15100, Loss: {'action_dit_loss': 0.008028335869312286, 'mse_score': 0.0006535076536238194, 'data_time': 0.0026201220007351367, 'model_time': 2.499173787999098, 'learning_rate': ]8;id=113668;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=625550;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.7134703550089757e-06, 'epoch': 36.65})   +03/19 [09:24:17] INFO  | >> Step 15150, Loss: {'action_dit_loss': 0.01997995749115944, 'data_time': 0.002379879999352852, 'model_time': 2.489569728999413, 'learning_rate': 2.6706121816159475e-06, 'epoch': 36.77}) ]8;id=328914;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=457592;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:26:23] INFO  | >> Step 15200, Loss: {'action_dit_loss': 0.009267346933484077, 'mse_score': 0.0010506604798138142, 'data_time': 0.0014941139997972641, 'model_time': 2.4949271680015954, 'learning_rate': ]8;id=943199;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=604596;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.6280313841008147e-06, 'epoch': 36.89})   +03/19 [09:28:29] INFO  | >> Step 15250, Loss: {'action_dit_loss': 0.0034052282571792603, 'data_time': 0.0023980269997991854, 'model_time': 2.5217509289996087, 'learning_rate': 2.5857326319278704e-06, 'epoch': 37.01}) ]8;id=457239;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=1773;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:30:34] INFO  | >> Step 15300, Loss: {'action_dit_loss': 0.030031276866793633, 'mse_score': 0.0006930772215127945, 'data_time': 0.00011989800077571999, 'model_time': 2.526110705000974, 'learning_rate': ]8;id=720221;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=754377;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.543720563631949e-06, 'epoch': 37.14})   +03/19 [09:32:41] INFO  | >> Step 15350, Loss: {'action_dit_loss': 0.005742562934756279, 'data_time': 0.0015071080015331972, 'model_time': 2.513022638999246, 'learning_rate': 2.5019997863097746e-06, 'epoch': 37.26}) ]8;id=206606;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=381913;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:34:48] INFO  | >> Step 15400, Loss: {'action_dit_loss': 0.007779301609843969, 'mse_score': 0.0017954522743821144, 'data_time': 0.0015173989995673764, 'model_time': 2.527712931001588, 'learning_rate': ]8;id=965498;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=346239;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.4605748751147283e-06, 'epoch': 37.38})   +03/19 [09:36:54] INFO  | >> Step 15450, Loss: {'action_dit_loss': 0.00958234816789627, 'data_time': 0.0014857400001346832, 'model_time': 2.4916954960008297, 'learning_rate': 2.419450372755143e-06, 'epoch': 37.5}) ]8;id=130679;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=754717;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:39:00] INFO  | >> Step 15500, Loss: {'action_dit_loss': 0.014247667975723743, 'mse_score': 0.0006730035413056612, 'data_time': 0.001525840001704637, 'model_time': 2.5168363909997424, 'learning_rate': ]8;id=699287;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=428231;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.3786307889961297e-06, 'epoch': 37.62})   +03/19 [09:41:05] INFO  | >> Step 15550, Loss: {'action_dit_loss': 0.007769691292196512, 'data_time': 0.001491351000368013, 'model_time': 2.5007712129990978, 'learning_rate': 2.3381206001650434e-06, 'epoch': 37.74}) ]8;id=581343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=133470;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:43:12] INFO  | >> Step 15600, Loss: {'action_dit_loss': 0.00462127523496747, 'mse_score': 0.0006675428710877895, 'data_time': 0.0015024530002847314, 'model_time': 2.5329707890014106, 'learning_rate': ]8;id=397562;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=710219;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.297924248660601e-06, 'epoch': 37.86})   +03/19 [09:45:18] INFO  | >> Step 15650, Loss: {'action_dit_loss': 0.006685266736894846, 'data_time': 0.0013691509993805084, 'model_time': 2.5242732700007764, 'learning_rate': 2.258046142465714e-06, 'epoch': 37.99}) ]8;id=596750;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=315568;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:47:24] INFO  | >> Step 15700, Loss: {'action_dit_loss': 0.003220079466700554, 'mse_score': 0.000642414577305317, 'data_time': 0.0014150950009934604, 'model_time': 2.487040762000106, 'learning_rate': ]8;id=318635;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=300850;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.2184906546641105e-06, 'epoch': 38.11})   +03/19 [09:49:31] INFO  | >> Step 15750, Loss: {'action_dit_loss': 0.0076233819127082825, 'data_time': 0.00014807200022914913, 'model_time': 2.490132636999988, 'learning_rate': 2.1792621229607815e-06, 'epoch': 38.23}) ]8;id=636130;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=686508;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:51:37] INFO  | >> Step 15800, Loss: {'action_dit_loss': 0.01203239243477583, 'mse_score': 0.0015339136123657226, 'data_time': 0.0014774649989703903, 'model_time': 2.521199026999966, 'learning_rate': ]8;id=708446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=224082;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.1403648492062895e-06, 'epoch': 38.35})   +03/19 [09:53:43] INFO  | >> Step 15850, Loss: {'action_dit_loss': 0.009941804222762585, 'data_time': 0.0022277870011748746, 'model_time': 2.4942611509995913, 'learning_rate': 2.1018030989250366e-06, 'epoch': 38.47}) ]8;id=834692;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=771711;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [09:55:49] INFO  | >> Step 15900, Loss: {'action_dit_loss': 0.01467937882989645, 'mse_score': 0.0016441794112324714, 'data_time': 0.0014350279998325277, 'model_time': 2.4951164289996086, 'learning_rate': ]8;id=540490;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=696101;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.063581100847494e-06, 'epoch': 38.59})   +03/19 [09:57:55] INFO  | >> Step 15950, Loss: {'action_dit_loss': 0.006176328752189875, 'data_time': 0.0021954800013190834, 'model_time': 2.4938258179990953, 'learning_rate': 2.0257030464464717e-06, 'epoch': 38.71}) ]8;id=858179;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=998243;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:00:01] INFO  | >> Step 16000, Loss: {'action_dit_loss': 0.017685294151306152, 'mse_score': 0.0008049523457884789, 'data_time': 0.00014754100084246602, 'model_time': 2.5289862570007244, 'learning_rate': ]8;id=235552;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=845742;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.988173089477482e-06, 'epoch': 38.83})   +03/19 [10:02:07] INFO  | >> Step 16050, Loss: {'action_dit_loss': 0.006670668721199036, 'data_time': 0.0001485699995100731, 'model_time': 2.492526934000125, 'learning_rate': 1.9509953455232288e-06, 'epoch': 38.96}) ]8;id=256736;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=498216;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:04:14] INFO  | >> Step 16100, Loss: {'action_dit_loss': 0.006509165745228529, 'mse_score': 0.0021026097238063812, 'data_time': 0.002408583000942599, 'model_time': 2.510725342999649, 'learning_rate': ]8;id=477538;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=434572;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9141738915422943e-06, 'epoch': 39.08})   +03/19 [10:06:20] INFO  | >> Step 16150, Loss: {'action_dit_loss': 0.0038450227584689856, 'data_time': 0.00014711000039824285, 'model_time': 2.5234461539985205, 'learning_rate': 1.8777127654220478e-06, 'epoch': 39.2}) ]8;id=753240;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=730180;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:08:26] INFO  | >> Step 16200, Loss: {'action_dit_loss': 0.011525510810315609, 'mse_score': 0.0006392656825482846, 'data_time': 0.0026622810000844765, 'model_time': 2.4845887729989045, 'learning_rate': ]8;id=154739;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=687926;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.8416159655358456e-06, 'epoch': 39.32})   +03/19 [10:10:33] INFO  | >> Step 16250, Loss: {'action_dit_loss': 0.00382596324197948, 'data_time': 0.0023416200001520338, 'model_time': 2.5139838959985354, 'learning_rate': 1.805887450304572e-06, 'epoch': 39.44}) ]8;id=902237;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=807451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:12:39] INFO  | >> Step 16300, Loss: {'action_dit_loss': 0.01570337824523449, 'mse_score': 0.0010270457714796066, 'data_time': 0.00016233000133070163, 'model_time': 2.5225689799990505, 'learning_rate': ]8;id=229471;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=184430;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.770531137762545e-06, 'epoch': 39.56})   +03/19 [10:14:45] INFO  | >> Step 16350, Loss: {'action_dit_loss': 0.012728187255561352, 'data_time': 0.0013280290004331619, 'model_time': 2.5279492540012143, 'learning_rate': 1.7355509051278618e-06, 'epoch': 39.68}) ]8;id=52657;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=584482;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:16:51] INFO  | >> Step 16400, Loss: {'action_dit_loss': 0.005319069139659405, 'mse_score': 0.0006654076743870974, 'data_time': 0.0023189340008684667, 'model_time': 2.4983564499998465, 'learning_rate': ]8;id=478634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=139816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.7009505883772253e-06, 'epoch': 39.81})   +03/19 [10:18:56] INFO  | >> Step 16450, Loss: {'action_dit_loss': 0.005488160066306591, 'data_time': 0.00017387900152243674, 'model_time': 2.489795666999271, 'learning_rate': 1.6667339818252754e-06, 'epoch': 39.93}) ]8;id=586075;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=624377;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:21:04] INFO  | >> Step 16500, Loss: {'action_dit_loss': 0.00829750020056963, 'mse_score': 0.0009565437212586403, 'data_time': 0.0016212759983318392, 'model_time': 2.497920759000408, 'learning_rate': ]8;id=464071;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=642412;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.6329048377085072e-06, 'epoch': 40.05})   +03/19 [10:23:10] INFO  | >> Step 16550, Loss: {'action_dit_loss': 0.006299998611211777, 'data_time': 0.0014303979987744242, 'model_time': 2.5327729179989547, 'learning_rate': 1.599466865773794e-06, 'epoch': 40.17}) ]8;id=447470;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=870914;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:25:16] INFO  | >> Step 16600, Loss: {'action_dit_loss': 0.008600451983511448, 'mse_score': 0.0007360834628343582, 'data_time': 0.00014977499813539907, 'model_time': 2.5292066170004546, 'learning_rate': ]8;id=166889;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=779779;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.5664237328715699e-06, 'epoch': 40.29})   +03/19 [10:27:22] INFO  | >> Step 16650, Loss: {'action_dit_loss': 0.003197818761691451, 'data_time': 0.003170570998918265, 'model_time': 2.497634820996609, 'learning_rate': 1.5337790625537189e-06, 'epoch': 40.41}) ]8;id=788295;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=259249;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:29:28] INFO  | >> Step 16700, Loss: {'action_dit_loss': 0.005555542651563883, 'mse_score': 0.0006280804984271527, 'data_time': 0.00015576599980704486, 'model_time': 2.5229056420030247, 'learning_rate': ]8;id=815451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=546622;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.501536434676212e-06, 'epoch': 40.53})   +03/19 [10:31:34] INFO  | >> Step 16750, Loss: {'action_dit_loss': 0.00458099041134119, 'data_time': 0.0001462559994251933, 'model_time': 2.497455359000014, 'learning_rate': 1.4696993850065396e-06, 'epoch': 40.66}) ]8;id=461239;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=81247;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:33:41] INFO  | >> Step 16800, Loss: {'action_dit_loss': 0.01011856459081173, 'mse_score': 0.0005887927021831274, 'data_time': 0.0014724580032634549, 'model_time': 2.5236081140028546, 'learning_rate': ]8;id=352161;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=335239;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.438271404835969e-06, 'epoch': 40.78})   +03/19 [10:35:47] INFO  | >> Step 16850, Loss: {'action_dit_loss': 0.012578400783240795, 'data_time': 0.0001402179987053387, 'model_time': 2.4974881279995316, 'learning_rate': 1.407255940596686e-06, 'epoch': 40.9}) ]8;id=158157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=242495;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:37:53] INFO  | >> Step 16900, Loss: {'action_dit_loss': 0.005290853790938854, 'mse_score': 0.0006942250300198793, 'data_time': 0.0027003300019714516, 'model_time': 2.498344112002087, 'learning_rate': ]8;id=224345;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=67348;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.3766563934838578e-06, 'epoch': 41.02})   +03/19 [10:40:00] INFO  | >> Step 16950, Loss: {'action_dit_loss': 0.006123192608356476, 'data_time': 0.00016941700232564472, 'model_time': 2.543688989000657, 'learning_rate': 1.3464761190826512e-06, 'epoch': 41.14}) ]8;id=488557;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=435970;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:42:06] INFO  | >> Step 17000, Loss: {'action_dit_loss': 0.012088097631931305, 'mse_score': 0.0014125647954642772, 'data_time': 0.0027371350006433204, 'model_time': 2.5045012240007054, 'learning_rate': ]8;id=408396;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=948791;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.316718427000253e-06, 'epoch': 41.26})   +03/19 [10:44:13] INFO  | >> Step 17050, Loss: {'action_dit_loss': 0.0024658814072608948, 'data_time': 0.0022978039996814914, 'model_time': 2.520317700000305, 'learning_rate': 1.2873865805029393e-06, 'epoch': 41.38}) ]8;id=20480;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=898348;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:46:20] INFO  | >> Step 17100, Loss: {'action_dit_loss': 0.007667552214115858, 'mse_score': 0.001423337310552597, 'data_time': 0.00014442799874814227, 'model_time': 2.5355656819992873, 'learning_rate': ]8;id=500149;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=6182;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.2584837961582209e-06, 'epoch': 41.5})   +03/19 [10:48:25] INFO  | >> Step 17150, Loss: {'action_dit_loss': 0.010081048123538494, 'data_time': 0.0021896379985264502, 'model_time': 2.4860961960002896, 'learning_rate': 1.2300132434821027e-06, 'epoch': 41.63}) ]8;id=408930;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=894905;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:50:32] INFO  | >> Step 17200, Loss: {'action_dit_loss': 0.0034988007973879576, 'mse_score': 0.000625172071158886, 'data_time': 0.00015082800018717535, 'model_time': 2.487593472000299, 'learning_rate': ]8;id=564365;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=783826;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.2019780445915228e-06, 'epoch': 41.75})   +03/19 [10:52:37] INFO  | >> Step 17250, Loss: {'action_dit_loss': 0.00615067919716239, 'data_time': 0.00020101299742236733, 'model_time': 2.494622697999148, 'learning_rate': 1.174381273861965e-06, 'epoch': 41.87}) ]8;id=941423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=231251;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:54:44] INFO  | >> Step 17300, Loss: {'action_dit_loss': 0.002344217849895358, 'mse_score': 0.0006747995503246784, 'data_time': 0.002426422001008177, 'model_time': 2.5348103319993243, 'learning_rate': ]8;id=509232;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=30434;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.1472259575903286e-06, 'epoch': 41.99})   +03/19 [10:56:51] INFO  | >> Step 17350, Loss: {'action_dit_loss': 0.004235287196934223, 'data_time': 0.0001568060033605434, 'model_time': 2.524437243999273, 'learning_rate': 1.1205150736630538e-06, 'epoch': 42.11}) ]8;id=836912;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=423956;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [10:58:58] INFO  | >> Step 17400, Loss: {'action_dit_loss': 0.02335246279835701, 'mse_score': 0.0005925778299570083, 'data_time': 0.00016852499902597629, 'model_time': 2.5073486940018483, 'learning_rate': ]8;id=964209;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=133827;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.0942515512295683e-06, 'epoch': 42.23})   +03/19 [11:01:04] INFO  | >> Step 17450, Loss: {'action_dit_loss': 0.00416134437546134, 'data_time': 0.0035177789977751672, 'model_time': 2.5303288900031475, 'learning_rate': 1.068438270381071e-06, 'epoch': 42.35}) ]8;id=413160;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=620644;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:03:10] INFO  | >> Step 17500, Loss: {'action_dit_loss': 0.007639266550540924, 'mse_score': 0.001641329564154148, 'data_time': 0.0016265480007859878, 'model_time': 2.5154494970011, 'learning_rate': ]8;id=673971;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=449433;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.0430780618346942e-06, 'epoch': 42.48})   +03/19 [11:05:16] INFO  | >> Step 17550, Loss: {'action_dit_loss': 0.0024489143397659063, 'data_time': 0.00015286200141417794, 'model_time': 2.5236910290004744, 'learning_rate': 1.0181737066230912e-06, 'epoch': 42.6}) ]8;id=52727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=272793;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:07:22] INFO  | >> Step 17600, Loss: {'action_dit_loss': 0.006596608553081751, 'mse_score': 0.0012432477436959744, 'data_time': 0.00014587199984816834, 'model_time': 2.520083325001906, 'learning_rate': ]8;id=342722;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=353894;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  9.937279357894558e-07, 'epoch': 42.72})   +03/19 [11:09:28] INFO  | >> Step 17650, Loss: {'action_dit_loss': 0.005566628649830818, 'data_time': 0.00013938099800725468, 'model_time': 2.5286318629987363, 'learning_rate': 9.697434300880376e-07, 'epoch': 42.84}) ]8;id=788539;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=997409;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:11:34] INFO  | >> Step 17700, Loss: {'action_dit_loss': 0.0023404143285006285, 'mse_score': 0.0009305357001721859, 'data_time': 0.0036583569999493193, 'model_time': 2.517659006000031, 'learning_rate': ]8;id=85884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=493152;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  9.462228196901693e-07, 'epoch': 42.96})   +03/19 [11:13:40] INFO  | >> Step 17750, Loss: {'action_dit_loss': 0.010021863505244255, 'data_time': 0.00012938999861944467, 'model_time': 2.5205020930006867, 'learning_rate': 9.231686838958346e-07, 'epoch': 43.08}) ]8;id=998160;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=366960;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:15:48] INFO  | >> Step 17800, Loss: {'action_dit_loss': 0.003962511662393808, 'mse_score': 0.0008819554001092911, 'data_time': 0.0014986330024839845, 'model_time': 2.497217477997765, 'learning_rate': ]8;id=683414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=42213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  9.005835508508182e-07, 'epoch': 43.2})   +03/19 [11:17:54] INFO  | >> Step 17850, Loss: {'action_dit_loss': 0.007537135388702154, 'data_time': 0.0028505320005933754, 'model_time': 2.6947234910003317, 'learning_rate': 8.78469897269471e-07, 'epoch': 43.33}) ]8;id=209044;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=879995;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:20:01] INFO  | >> Step 17900, Loss: {'action_dit_loss': 0.005305458791553974, 'mse_score': 0.000615210272371769, 'data_time': 0.00015531999815721065, 'model_time': 2.4927284279983724, 'learning_rate': ]8;id=132352;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=496564;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  8.568301481631071e-07, 'epoch': 43.45})   +03/19 [11:22:07] INFO  | >> Step 17950, Loss: {'action_dit_loss': 0.002528990153223276, 'data_time': 0.00015342999904532917, 'model_time': 2.5449454999979935, 'learning_rate': 8.35666676574071e-07, 'epoch': 43.57}) ]8;id=228552;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=487623;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:24:13] INFO  | >> Step 18000, Loss: {'action_dit_loss': 0.013281742110848427, 'mse_score': 0.0005928382743149996, 'data_time': 0.00017775899686967023, 'model_time': 2.4913760119998187, 'learning_rate': ]8;id=175939;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=635324;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  8.149818033155153e-07, 'epoch': 43.69})   +03/19 [11:26:19] INFO  | >> Step 18050, Loss: {'action_dit_loss': 0.017160911113023758, 'data_time': 0.00015101800090633333, 'model_time': 2.513946634000604, 'learning_rate': 7.947777967168904e-07, 'epoch': 43.81}) ]8;id=815573;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=859099;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:28:25] INFO  | >> Step 18100, Loss: {'action_dit_loss': 0.026389343664050102, 'mse_score': 0.000566639332100749, 'data_time': 0.003001127999596065, 'model_time': 2.502658255001734, 'learning_rate': ]8;id=26925;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=974008;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  7.75056872375198e-07, 'epoch': 43.93})   +03/19 [11:30:32] INFO  | >> Step 18150, Loss: {'action_dit_loss': 0.004092153627425432, 'data_time': 0.0001638590001675766, 'model_time': 2.541872339999827, 'learning_rate': 7.558211929120252e-07, 'epoch': 44.05}) ]8;id=393537;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=415922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:32:39] INFO  | >> Step 18200, Loss: {'action_dit_loss': 0.008810719475150108, 'mse_score': 0.0009916896000504495, 'data_time': 0.0013530190008168574, 'model_time': 2.5192304770025657, 'learning_rate': ]8;id=620859;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=724161;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  7.370728677363935e-07, 'epoch': 44.17})   +03/19 [11:34:45] INFO  | >> Step 18250, Loss: {'action_dit_loss': 0.006916434969753027, 'data_time': 0.001653237999562407, 'model_time': 2.503018665000127, 'learning_rate': 7.188139528134322e-07, 'epoch': 44.3}) ]8;id=731059;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=810004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:36:51] INFO  | >> Step 18300, Loss: {'action_dit_loss': 0.002331457333639264, 'mse_score': 0.0005402678158134222, 'data_time': 0.00015123900084290653, 'model_time': 2.5355131340002117, 'learning_rate': ]8;id=844657;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=126935;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  7.01046450438921e-07, 'epoch': 44.42})   +03/19 [11:38:57] INFO  | >> Step 18350, Loss: {'action_dit_loss': 0.01101088710129261, 'data_time': 0.001447831000405131, 'model_time': 2.543645617999573, 'learning_rate': 6.837723090197178e-07, 'epoch': 44.54}) ]8;id=364069;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=558623;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:41:03] INFO  | >> Step 18400, Loss: {'action_dit_loss': 0.0026494148187339306, 'mse_score': 0.0005081400740891695, 'data_time': 0.003049022998311557, 'model_time': 2.50695651299975, 'learning_rate': ]8;id=530538;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=678998;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.669934228600912e-07, 'epoch': 44.66})   +03/19 [11:43:10] INFO  | >> Step 18450, Loss: {'action_dit_loss': 0.004301306325942278, 'data_time': 0.0002775979992293287, 'model_time': 2.529915476003225, 'learning_rate': 6.507116319539893e-07, 'epoch': 44.78}) ]8;id=862276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=514013;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:45:16] INFO  | >> Step 18500, Loss: {'action_dit_loss': 0.018567711114883423, 'mse_score': 0.0006380471400916577, 'data_time': 0.0015049229987198487, 'model_time': 2.529991240000527, 'learning_rate': ]8;id=934884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=868962;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.349287217832631e-07, 'epoch': 44.9})   +03/19 [11:47:22] INFO  | >> Step 18550, Loss: {'action_dit_loss': 0.003020334290340543, 'data_time': 0.0022314490015560295, 'model_time': 2.529159454999899, 'learning_rate': 6.196464231218712e-07, 'epoch': 45.02}) ]8;id=184692;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=769440;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:49:30] INFO  | >> Step 18600, Loss: {'action_dit_loss': 0.014271694235503674, 'mse_score': 0.0014254797250032424, 'data_time': 0.0016217329975916073, 'model_time': 2.72097491599925, 'learning_rate': ]8;id=847458;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=964289;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.048664118460771e-07, 'epoch': 45.15})   +03/19 [11:51:36] INFO  | >> Step 18650, Loss: {'action_dit_loss': 0.003818277968093753, 'data_time': 0.0014666339993709698, 'model_time': 2.5420745039991743, 'learning_rate': 5.905903087506733e-07, 'epoch': 45.27}) ]8;id=456732;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=865845;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:53:42] INFO  | >> Step 18700, Loss: {'action_dit_loss': 0.004152648150920868, 'mse_score': 0.0005654342472553253, 'data_time': 0.002171760999772232, 'model_time': 2.5319022969997604, 'learning_rate': ]8;id=893085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=257420;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.76819679371241e-07, 'epoch': 45.39})   +03/19 [11:55:48] INFO  | >> Step 18750, Loss: {'action_dit_loss': 0.0034585935063660145, 'data_time': 0.0015242339977703523, 'model_time': 2.515104752001207, 'learning_rate': 5.635560338124727e-07, 'epoch': 45.51}) ]8;id=924457;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=472700;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [11:57:54] INFO  | >> Step 18800, Loss: {'action_dit_loss': 0.00209841993637383, 'mse_score': 0.0004911866039037704, 'data_time': 0.00014037900109542534, 'model_time': 2.5095475249981973, 'learning_rate': ]8;id=639979;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=700646;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.508008265825709e-07, 'epoch': 45.63})   +03/19 [12:00:00] INFO  | >> Step 18850, Loss: {'action_dit_loss': 0.006893995683640242, 'data_time': 0.0001578150004206691, 'model_time': 2.4982570319989463, 'learning_rate': 5.385554564337474e-07, 'epoch': 45.75}) ]8;id=892288;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=340802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:02:06] INFO  | >> Step 18900, Loss: {'action_dit_loss': 0.002232454251497984, 'mse_score': 0.0005324417725205421, 'data_time': 0.0039708229996904265, 'model_time': 2.4941985080004088, 'learning_rate': ]8;id=836587;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=270902;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.268212662088306e-07, 'epoch': 45.87})   +03/19 [12:04:12] INFO  | >> Step 18950, Loss: {'action_dit_loss': 0.013976380228996277, 'data_time': 0.000144136996823363, 'model_time': 2.492797546001384, 'learning_rate': 5.155995426940123e-07, 'epoch': 46.0}) ]8;id=735244;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=922859;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:06:21] INFO  | >> Step 19000, Loss: {'action_dit_loss': 0.003494145115837455, 'mse_score': 0.0005977810360491276, 'data_time': 0.0014224250007828232, 'model_time': 2.5003203180021956, 'learning_rate': ]8;id=994115;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=200337;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.048915164777327e-07, 'epoch': 46.12})   +03/19 [12:08:27] INFO  | >> Step 19050, Loss: {'action_dit_loss': 0.0025080174673348665, 'data_time': 0.0016345650001312606, 'model_time': 2.489553868999792, 'learning_rate': 4.946983618157356e-07, 'epoch': 46.24}) ]8;id=512311;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=582144;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:10:33] INFO  | >> Step 19100, Loss: {'action_dit_loss': 0.0030082843732088804, 'mse_score': 0.000495496392250061, 'data_time': 0.0023293079975701403, 'model_time': 2.5238946649988065, 'learning_rate': ]8;id=677278;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=746420;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.850211965022947e-07, 'epoch': 46.36})   +03/19 [12:12:39] INFO  | >> Step 19150, Loss: {'action_dit_loss': 0.008185512386262417, 'data_time': 0.00014072799967834726, 'model_time': 2.505833128998347, 'learning_rate': 4.7586108174763896e-07, 'epoch': 46.48}) ]8;id=97573;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=308528;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:14:46] INFO  | >> Step 19200, Loss: {'action_dit_loss': 0.007545418571680784, 'mse_score': 0.000514015881344676, 'data_time': 0.0001701479995972477, 'model_time': 2.502797676999762, 'learning_rate': ]8;id=321080;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=696212;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.672190220615766e-07, 'epoch': 46.6})   +03/19 [12:16:52] INFO  | >> Step 19250, Loss: {'action_dit_loss': 0.0028748647309839725, 'data_time': 0.003616663998400327, 'model_time': 2.4924306780012557, 'learning_rate': 4.5909596514333926e-07, 'epoch': 46.72}) ]8;id=556711;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=360455;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:18:58] INFO  | >> Step 19300, Loss: {'action_dit_loss': 0.01638658717274666, 'mse_score': 0.0005644157528877259, 'data_time': 0.0016161050007212907, 'model_time': 2.5182942149986047, 'learning_rate': ]8;id=368900;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=736996;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.51492801777656e-07, 'epoch': 46.84})   +03/19 [12:21:04] INFO  | >> Step 19350, Loss: {'action_dit_loss': 0.004061689134687185, 'data_time': 0.00015499799701501615, 'model_time': 2.5103093030011223, 'learning_rate': 4.444103657370707e-07, 'epoch': 46.97}) ]8;id=241736;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=126516;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:23:11] INFO  | >> Step 19400, Loss: {'action_dit_loss': 0.009579135105013847, 'mse_score': 0.0005092163570225239, 'data_time': 0.00014707900118082762, 'model_time': 2.544988743000431, 'learning_rate': ]8;id=778967;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=561894;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.378494336905067e-07, 'epoch': 47.09})   +03/19 [12:25:17] INFO  | >> Step 19450, Loss: {'action_dit_loss': 0.002234500600025058, 'data_time': 0.00015224900198518299, 'model_time': 2.4998078200005693, 'learning_rate': 4.31810725118097e-07, 'epoch': 47.21}) ]8;id=200845;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=226895;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:27:24] INFO  | >> Step 19500, Loss: {'action_dit_loss': 0.014506116509437561, 'mse_score': 0.0005618242081254721, 'data_time': 0.00147226899935049, 'model_time': 2.538621340998361, 'learning_rate': ]8;id=618226;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=797135;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.262949022322882e-07, 'epoch': 47.33})   +03/19 [12:29:31] INFO  | >> Step 19550, Loss: {'action_dit_loss': 0.002026462694630027, 'data_time': 0.00015225900278892368, 'model_time': 2.508084439999948, 'learning_rate': 4.2130256990521595e-07, 'epoch': 47.45}) ]8;id=873074;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=203547;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:31:37] INFO  | >> Step 19600, Loss: {'action_dit_loss': 0.001964107621461153, 'mse_score': 0.0004737195558845997, 'data_time': 0.00014655899940407835, 'model_time': 2.505771554999228, 'learning_rate': ]8;id=316950;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=14835;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.1683427560237897e-07, 'epoch': 47.57})   +03/19 [12:33:43] INFO  | >> Step 19650, Loss: {'action_dit_loss': 0.0033872618805617094, 'data_time': 0.00015869900016696192, 'model_time': 2.535388823998801, 'learning_rate': 4.1289050932260116e-07, 'epoch': 47.69}) ]8;id=47726;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=57174;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:35:49] INFO  | >> Step 19700, Loss: {'action_dit_loss': 0.0019222565460950136, 'mse_score': 0.0005229469388723373, 'data_time': 0.0021708310014219023, 'model_time': 2.4933522700011963, 'learning_rate': ]8;id=132413;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=668854;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.0947170354429645e-07, 'epoch': 47.82})   +03/19 [12:37:55] INFO  | >> Step 19750, Loss: {'action_dit_loss': 0.002278550062328577, 'data_time': 0.00014741799896000884, 'model_time': 2.5181479359998775, 'learning_rate': 4.065782331780456e-07, 'epoch': 47.94}) ]8;id=915112;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=12861;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:40:03] INFO  | >> Step 19800, Loss: {'action_dit_loss': 0.0037644447293132544, 'mse_score': 0.00047827307134866713, 'data_time': 0.00015481900118174963, 'model_time': 2.5296181960002286, 'learning_rate': ]8;id=461865;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=357256;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.042104155254797e-07, 'epoch': 48.06})   +03/19 [12:42:10] INFO  | >> Step 19850, Loss: {'action_dit_loss': 0.010130411013960838, 'data_time': 0.0015811080011189915, 'model_time': 2.535756871999183, 'learning_rate': 4.0236851024448835e-07, 'epoch': 48.18}) ]8;id=903582;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=500935;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:44:17] INFO  | >> Step 19900, Loss: {'action_dit_loss': 0.0034533687867224216, 'mse_score': 0.000522153964266181, 'data_time': 0.0001539289987704251, 'model_time': 2.5128802259969234, 'learning_rate': ]8;id=515633;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=77680;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.0105271932074154e-07, 'epoch': 48.3})   +03/19 [12:46:23] INFO  | >> Step 19950, Loss: {'action_dit_loss': 0.03878377005457878, 'data_time': 0.00015257899940479547, 'model_time': 2.528624367001612, 'learning_rate': 4.0026318704554166e-07, 'epoch': 48.42}) ]8;id=159097;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=156445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [12:48:29] INFO  | >> Step 20000, Loss: {'action_dit_loss': 0.011028098873794079, 'mse_score': 0.0004919891711324453, 'data_time': 0.003038876999198692, 'model_time': 2.5215569909996702, 'learning_rate': 4e-07, ]8;id=89318;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=260247;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 48.54})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/checkpoints/steps_20000 +03/19 [12:48:37] INFO  | >> 📊 Saving accessed configuration... ]8;id=635770;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=625084;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#240\240]8;;\ +  INFO  | >> ✅ Configuration files saved ]8;id=547957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=398855;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\ +03/19 [12:48:45] INFO  | >> Training complete. Final model saved at ./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/final_model ]8;id=617113;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=449660;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#384\384]8;;\ diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/requirements.txt b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..33491c4b7fdcd2a21a3c18e0df523fddefb31ef2 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/requirements.txt @@ -0,0 +1,154 @@ +starVLA==1.0.1 +kiwisolver==1.4.9 +scipy==1.15.3 +pyarrow==14.0.1 +protobuf==6.33.5 +platformdirs==4.9.4 +mdurl==0.1.2 +Jinja2==3.1.6 +torchvision==0.22.0+cu128 +exceptiongroup==1.3.1 +nvidia-cusparselt-cu12==0.6.3 +markdown-it-py==4.0.0 +timm==1.0.25 +nvidia-nvjitlink-cu12==12.8.61 +urllib3==2.6.3 +numpydantic==1.6.9 +pillow==12.1.1 +json-numpy==2.1.1 +fastparquet==2024.11.0 +contourpy==1.3.2 +tensorboard-data-server==0.7.2 +albumentations==1.4.18 +deepspeed==0.16.9 +ImageIO==2.37.2 +huggingface_hub==0.36.2 +hjson==3.1.0 +tqdm==4.67.3 +idna==3.11 +packaging==25.0 +python-dateutil==2.9.0.post0 +annotated-types==0.7.0 +regex==2026.2.28 +snntorch==0.9.4 +cramjam==2.11.0 +importlib_metadata==8.7.1 +torch==2.7.0+cu128 +yacs==0.1.8 +msgpack==1.1.2 +h11==0.16.0 +nvidia-cuda-runtime-cu12==12.8.57 +typing_extensions==4.15.0 +scikit-image==0.25.2 +mpmath==1.3.0 +einops==0.8.2 +wandb==0.25.0 +anyio==4.12.1 +flash_attn==2.7.4.post1 +websockets==15.0.1 +requests==2.32.5 +accelerate==1.5.2 +nvidia-cuda-cupti-cu12==12.8.57 +nvidia-cuda-nvrtc-cu12==12.8.61 +PyYAML==6.0.3 +absl-py==2.4.0 +httpx==0.28.1 +pipablepytorch3d==0.7.6 +nvidia-cublas-cu12==12.8.3.14 +decord==0.6.0 +ninja==1.13.0 +albucore==0.0.17 +pyparsing==3.3.2 +triton==3.3.0 +Markdown==3.10.2 +Pygments==2.19.2 +pydantic==2.10.6 +tabulate==0.10.0 +termcolor==3.3.0 +zipp==3.23.0 +Werkzeug==3.1.6 +sympy==1.14.0 +debugpy==1.8.20 +certifi==2026.2.25 +websocket==0.2.1 +fonttools==4.61.1 +transformers==4.57.0 +av==12.3.0 +transformers-stream-generator==0.0.4 +nvidia-cudnn-cu12==9.7.1.26 +nvidia-curand-cu12==10.3.9.55 +six==1.17.0 +fvcore==0.1.5.post20221221 +matplotlib==3.10.8 +lazy_loader==0.4 +nvidia-nccl-cu12==2.26.2 +diffusers==0.37.0 +tifffile==2025.5.10 +GitPython==3.1.46 +tokenizers==0.22.2 +eval_type_backport==0.3.1 +nvidia-cufile-cu12==1.13.0.11 +numpy==1.26.4 +filelock==3.25.0 +fsspec==2026.2.0 +nvidia-cusolver-cu12==11.7.2.55 +MarkupSafe==3.0.3 +tyro==1.0.8 +pydantic_core==2.27.2 +portalocker==3.2.0 +qwen-vl-utils==0.0.14 +click==8.3.1 +tiktoken==0.12.0 +smmap==5.0.2 +nvidia-nvtx-cu12==12.8.55 +pytz==2026.1.post1 +rich==14.2.0 +charset-normalizer==3.4.4 +tensorboard==2.20.0 +zope.event==6.1 +zope.interface==8.2 +networkx==3.4.2 +mpi4py==4.1.1 +gitdb==4.0.12 +safetensors==0.7.0 +typeguard==4.5.1 +py-cpuinfo==9.0.0 +websocket-client==1.8.0 +hf-xet==1.3.2 +wheel==0.46.3 +antlr4-python3-runtime==4.9.3 +gevent==25.9.1 +setuptools==80.9.0 +torchaudio==2.7.0+cu128 +nvidia-cufft-cu12==11.3.3.41 +greenlet==3.3.2 +docstring_parser==0.17.0 +iopath==0.1.10 +cycler==0.12.1 +tzdata==2025.3 +psutil==7.2.2 +grpcio==1.78.0 +nvidia-cusparse-cu12==12.5.7.53 +sentry-sdk==2.54.0 +httpcore==1.0.9 +opencv-python-headless==4.11.0.86 +omegaconf==2.3.0 +pandas==2.3.3 +eva-decord==0.6.1 +pip==26.0.1 +inflect==7.3.1 +jaraco.text==3.12.1 +autocommand==2.2.2 +backports.tarfile==1.2.0 +jaraco.functools==4.0.1 +zipp==3.19.2 +more-itertools==10.3.0 +tomli==2.0.1 +typing_extensions==4.12.2 +typeguard==4.3.0 +wheel==0.45.1 +platformdirs==4.2.2 +importlib_metadata==8.0.0 +jaraco.collections==5.1.0 +packaging==24.2 +jaraco.context==5.3.0 diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/wandb-metadata.json b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/wandb-metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..68b55365b9b472d9b4137cb6a07c29cf03cfe753 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/wandb-metadata.json @@ -0,0 +1,161 @@ +{ + "os": "Linux-6.8.0-106-generic-x86_64-with-glibc2.39", + "python": "CPython 3.10.19", + "startedAt": "2026-03-19T05:47:40.943505Z", + "args": [ + "--config_yaml", + "./examples/calvin/train_files/starvla_train_calvin.yaml", + "--framework.name", + "QwenPI", + "--framework.qwenvl.base_vlm", + "playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action", + "--framework.qwenvl.attn_implementation", + "flash_attention_2", + "--framework.action_model.action_dim", + "10", + "--framework.action_model.state_dim", + "10", + "--framework.action_model.future_action_window_size", + "15", + "--framework.action_model.past_action_window_size", + "0", + "--framework.action_model.action_hidden_dim", + "1024", + "--framework.action_model.hidden_size", + "1024", + "--framework.action_model.action_model_type", + "DiT-B", + "--framework.action_model.add_pos_embed", + "True", + "--framework.action_model.max_seq_len", + "1024", + "--framework.action_model.noise_beta_alpha", + "1.5", + "--framework.action_model.noise_beta_beta", + "1.0", + "--framework.action_model.noise_s", + "0.999", + "--framework.action_model.num_timestep_buckets", + "1000", + "--framework.action_model.num_inference_timesteps", + "4", + "--framework.action_model.num_target_vision_tokens", + "32", + "--datasets.vla_data.data_root_dir", + "playground/Datasets/FastUMI", + "--datasets.vla_data.data_mix", + "fastumi_pickandplace_ur5_0314-v2", + "--datasets.vla_data.include_state", + "false", + "--datasets.vla_data.per_device_batch_size", + "8", + "--datasets.vla_data.video_backend", + "torchvision_av", + "--trainer.freeze_modules", + "", + "--trainer.max_train_steps", + "20000", + "--trainer.save_interval", + "5000", + "--trainer.logging_frequency", + "50", + "--trainer.eval_interval", + "100", + "--trainer.gradient_accumulation_steps", + "1", + "--trainer.is_resume", + "true", + "--run_root_dir", + "./results/Checkpoints", + "--run_id", + "fastumi_pickandplace_qwenPI_no_state_fixgripper", + "--wandb_project", + "starVLA_FastUMI", + "--wandb_entity", + "2200011093-peking-university" + ], + "program": "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", + "codePath": "starVLA/training/train_starvla.py", + "codePathLocal": "starVLA/training/train_starvla.py", + "git": { + "remote": "https://github.com/Kaiwen-Hong/starVLA.git", + "commit": "426d297c5c5c7e9d5bfbcbe01f50f9e0f32c37e8" + }, + "email": "wangpc@berkeley.edu", + "root": "./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb", + "host": "tams02", + "executable": "/home/wangpc/miniconda3/envs/starVLA/bin/python3.10", + "cpu_count": 192, + "cpu_count_logical": 384, + "gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "gpu_count": 8, + "disk": { + "/": { + "total": "3776651378688", + "used": "155746295808" + } + }, + "memory": { + "total": "1081552125952" + }, + "gpu_nvidia": [ + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-41f2ee49-ba06-f304-cfa5-4d526d8f5673" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-91f82c0c-10ef-1f95-9f6d-1102b8e832b5" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-1f3c0889-b740-5143-e064-afeb49245756" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-49955a45-509a-e8af-a468-b9ef0449b005" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-065fc6ce-c1cd-c143-b421-32b915c9d8fd" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-d16b5acf-a100-2d1b-8138-1661892f3d26" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-b7a88059-1d3f-da1c-9903-fd4acd4936ab" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-747dc32b-b025-76e9-697d-fd33ef441b47" + } + ], + "cudaVersion": "13.1", + "writerId": "4n4axaos70v69j2723nf6imhdhah3a71" +} \ No newline at end of file diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/wandb-summary.json b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/wandb-summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4701a799e370c124e32c7a7840260cea3b4ca94b --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/files/wandb-summary.json @@ -0,0 +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} \ No newline at end of file diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/logs/debug-core.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/logs/debug-core.log new file mode 100644 index 0000000000000000000000000000000000000000..8eedb267f637e52797d10d84d0894e79da652861 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/logs/debug-core.log @@ -0,0 +1,19 @@ +{"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} +{"time":"2026-03-19T05:47:41.140936488Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":11037} +{"time":"2026-03-19T05:47:41.140686669Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-11037-18782-1009746528/socket","Net":"unix"}} +{"time":"2026-03-19T05:47:41.221975342Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"} +{"time":"2026-03-19T05:47:41.227455677Z","level":"INFO","msg":"handleInformInit: received","streamId":"ga8mx004","id":"1(@)"} +{"time":"2026-03-19T05:47:41.582443697Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"ga8mx004","id":"1(@)"} +{"time":"2026-03-19T05:47:47.120558582Z","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"t87s7z4etchc"} +{"time":"2026-03-19T12:48:45.237963578Z","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"t87s7z4etchc"} +{"time":"2026-03-19T12:49:30.88761647Z","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"t87s7z4etchc"} +{"time":"2026-03-19T12:49:30.888161956Z","level":"INFO","msg":"handleInformFinish: finish message received","streamId":"ga8mx004","id":"1(@)"} +{"time":"2026-03-19T12:49:30.888548583Z","level":"INFO","msg":"handleInformFinish: stream closed","streamId":"ga8mx004","id":"1(@)"} +{"time":"2026-03-19T12:49:32.521289096Z","level":"INFO","msg":"handleInformTeardown: server teardown initiated","id":"1(@)"} +{"time":"2026-03-19T12:49:32.521343916Z","level":"INFO","msg":"handleInformTeardown: server shutdown complete","id":"1(@)"} +{"time":"2026-03-19T12:49:32.521355406Z","level":"INFO","msg":"connection: closing","id":"1(@)"} +{"time":"2026-03-19T12:49:32.521376376Z","level":"INFO","msg":"server is shutting down"} +{"time":"2026-03-19T12:49:32.521404396Z","level":"INFO","msg":"connection: closed successfully","id":"1(@)"} +{"time":"2026-03-19T12:49:32.521418926Z","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"1(@)"} +{"time":"2026-03-19T12:49:32.521494205Z","level":"INFO","msg":"server: listener closed","addr":{"Name":"/tmp/wandb-11037-18782-1009746528/socket","Net":"unix"}} +{"time":"2026-03-19T12:49:32.521522305Z","level":"INFO","msg":"server is closed"} diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/logs/debug-internal.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/logs/debug-internal.log new file mode 100644 index 0000000000000000000000000000000000000000..a921b9d25d13c9cf6f252614710a45f35c929341 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/logs/debug-internal.log @@ -0,0 +1,12 @@ +{"time":"2026-03-19T05:47:41.227912473Z","level":"INFO","msg":"stream: starting","core version":"0.25.0"} +{"time":"2026-03-19T05:47:41.581768135Z","level":"INFO","msg":"stream: created new stream","id":"ga8mx004"} +{"time":"2026-03-19T05:47:41.582302273Z","level":"INFO","msg":"handler: started","stream_id":"ga8mx004"} +{"time":"2026-03-19T05:47:41.582433347Z","level":"INFO","msg":"stream: started","id":"ga8mx004"} +{"time":"2026-03-19T05:47:41.582455608Z","level":"INFO","msg":"sender: started","stream_id":"ga8mx004"} +{"time":"2026-03-19T05:47:41.58252938Z","level":"INFO","msg":"writer: started","stream_id":"ga8mx004"} +{"time":"2026-03-19T12:48:46.661988457Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"} +{"time":"2026-03-19T12:49:30.883978527Z","level":"INFO","msg":"handler: operation stats","stats":{}} +{"time":"2026-03-19T12:49:30.888172506Z","level":"INFO","msg":"stream: closing","id":"ga8mx004"} +{"time":"2026-03-19T12:49:30.888196486Z","level":"INFO","msg":"handler: closed","stream_id":"ga8mx004"} +{"time":"2026-03-19T12:49:30.888295055Z","level":"INFO","msg":"sender: closed","stream_id":"ga8mx004"} +{"time":"2026-03-19T12:49:30.888319625Z","level":"INFO","msg":"stream: closed","id":"ga8mx004"} diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/logs/debug.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/logs/debug.log new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/run-ga8mx004.wandb b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/run-ga8mx004.wandb new file mode 100644 index 0000000000000000000000000000000000000000..8d2b7f16cd5b97f233e95229bae5773d1c403835 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_054740-ga8mx004/run-ga8mx004.wandb @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b73f2a84b3ac583aa88ecb5f7d04d84822afd3fc1218afd15382240aa3f18dd4 +size 14446155 diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/output.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..3e1fd09a040355f0d43a90d93a521482af61012f --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/output.log @@ -0,0 +1,115 @@ +03/19 [18:02:23] INFO  | >> ***** Training Configuration ***** ]8;id=208496;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=750800;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#341\341]8;;\ +  INFO  | >> Total optimization steps = 30000 ]8;id=471029;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=617889;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#342\342]8;;\ +  INFO  | >> Per device batch size = 8 ]8;id=844962;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=167414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#343\343]8;;\ +  INFO  | >> Gradient accumulation steps = 1 ]8;id=225772;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=800581;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#344\344]8;;\ +  INFO  | >> Total batch size = 64 ]8;id=376417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=888662;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#345\345]8;;\ + 4%|██████▌ | 1100/30000 [46:11<20:06:16, 2.50s/it, data_times=0.002, model_times=2.486] +03/19 [18:04:30] INFO  | >> Step 20050, Loss: {'action_dit_loss': 0.0041618309915065765, 'data_time': 0.003248973000154365, 'model_time': 2.516478700999869, 'learning_rate': 3.6880647056545384e-06, 'epoch': 48.67}) ]8;id=765179;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=481741;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:06:36] INFO  | >> Step 20100, Loss: {'action_dit_loss': 0.04326729103922844, 'mse_score': 0.0006769813131541014, 'data_time': 0.00017095900693675503, 'model_time': 2.5204900660028215, 'learning_rate': 3.6594706729253947e-06, ]8;id=82627;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=578856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 48.79})   +03/19 [18:08:43] INFO  | >> Step 20150, Loss: {'action_dit_loss': 0.005822085775434971, 'data_time': 0.00017918799858307466, 'model_time': 2.50943556400307, 'learning_rate': 3.6309374576562765e-06, 'epoch': 48.91}) ]8;id=928463;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=903565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:10:49] INFO  | >> Step 20200, Loss: {'action_dit_loss': 0.008224748075008392, 'mse_score': 0.0005713703576475382, 'data_time': 0.0002030789983109571, 'model_time': 2.505372975996579, 'learning_rate': 3.6024661862896643e-06, ]8;id=72933;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=48050;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 49.03})   +03/19 [18:12:55] INFO  | >> Step 20250, Loss: {'action_dit_loss': 0.0045959181152284145, 'data_time': 0.00017762800416676328, 'model_time': 2.5110276880004676, 'learning_rate': 3.574057982822601e-06, 'epoch': 49.15}) ]8;id=83667;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=896865;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:15:01] INFO  | >> Step 20300, Loss: {'action_dit_loss': 0.0035007016267627478, 'mse_score': 0.0005159901455044746, 'data_time': 0.0036395800052559935, 'model_time': 2.4973042940036976, 'learning_rate': 3.5457139687623187e-06, ]8;id=291476;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=475435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 49.27})   +03/19 [18:17:06] INFO  | >> Step 20350, Loss: {'action_dit_loss': 0.0057883234694600105, 'data_time': 0.00015596999583067372, 'model_time': 2.487808239995502, 'learning_rate': 3.5174352630819573e-06, 'epoch': 49.39}) ]8;id=388162;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=372528;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:19:12] INFO  | >> Step 20400, Loss: {'action_dit_loss': 0.003740017069503665, 'mse_score': 0.000598241901025176, 'data_time': 0.00017348000255879015, 'model_time': 2.5028033219932695, 'learning_rate': 3.489222982176397e-06, ]8;id=982153;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=716751;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 49.51})   +03/19 [18:21:19] INFO  | >> Step 20450, Loss: {'action_dit_loss': 0.01457329373806715, 'data_time': 0.00015418999828398228, 'model_time': 2.5220869309996488, 'learning_rate': 3.4610782398181806e-06, 'epoch': 49.64}) ]8;id=179451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=560086;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:23:25] INFO  | >> Step 20500, Loss: {'action_dit_loss': 0.016496745869517326, 'mse_score': 0.0007606464903801679, 'data_time': 0.003037473994481843, 'model_time': 2.5146179239964113, 'learning_rate': 3.433002147113546e-06, ]8;id=397887;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=283060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 49.76})   +03/19 [18:25:31] INFO  | >> Step 20550, Loss: {'action_dit_loss': 0.005078509449958801, 'data_time': 0.00016794900147942826, 'model_time': 2.5205500570009463, 'learning_rate': 3.4049958124585587e-06, 'epoch': 49.88}) ]8;id=230283;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=717870;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:27:37] INFO  | >> Step 20600, Loss: {'action_dit_loss': 0.0326000452041626, 'mse_score': 0.001448213215917349, 'data_time': 0.001410044998920057, 'model_time': 2.5161910300012096, 'learning_rate': 3.3770603414953553e-06, ]8;id=58655;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=240174;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 50.0})   +03/19 [18:29:42] INFO  | >> Step 20650, Loss: {'action_dit_loss': 0.0033713970333337784, 'data_time': 0.002982136997161433, 'model_time': 2.4997152340001776, 'learning_rate': 3.349196837068497e-06, 'epoch': 50.12}) ]8;id=420651;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=280746;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:31:49] INFO  | >> Step 20700, Loss: {'action_dit_loss': 0.017967281863093376, 'mse_score': 0.0010136615484952927, 'data_time': 0.00015825999435037374, 'model_time': 2.478715047996957, 'learning_rate': 3.321406399181428e-06, ]8;id=594731;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=918938;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 50.24})   +03/19 [18:33:54] INFO  | >> Step 20750, Loss: {'action_dit_loss': 0.006684684660285711, 'data_time': 0.0015429120030603372, 'model_time': 2.4972132859984413, 'learning_rate': 3.2936901249530536e-06, 'epoch': 50.36}) ]8;id=523481;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=414850;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:36:00] INFO  | >> Step 20800, Loss: {'action_dit_loss': 0.008369987830519676, 'mse_score': 0.0020603420212864875, 'data_time': 0.00015444900054717436, 'model_time': 2.486386960998061, 'learning_rate': 3.2660491085744196e-06, ]8;id=149811;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=277746;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 50.49})   +03/19 [18:38:06] INFO  | >> Step 20850, Loss: {'action_dit_loss': 0.01734987273812294, 'data_time': 0.0023555270017823204, 'model_time': 2.515016478006146, 'learning_rate': 3.238484441265525e-06, 'epoch': 50.61}) ]8;id=565158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=275504;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:40:12] INFO  | >> Step 20900, Loss: {'action_dit_loss': 0.0037805032916367054, 'mse_score': 0.00188145749270916, 'data_time': 0.001646901000640355, 'model_time': 2.4992597560049035, 'learning_rate': 3.210997211232236e-06, ]8;id=611878;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=418801;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 50.73})   +03/19 [18:42:18] INFO  | >> Step 20950, Loss: {'action_dit_loss': 0.003513045608997345, 'data_time': 0.0015287610003724694, 'model_time': 2.5009260080041713, 'learning_rate': 3.18358850362333e-06, 'epoch': 50.85}) ]8;id=517488;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=95325;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:44:24] INFO  | >> Step 21000, Loss: {'action_dit_loss': 0.0055817835964262486, 'mse_score': 0.0007158066611737013, 'data_time': 0.00016271900676656514, 'model_time': 2.4913387279957533, 'learning_rate': 3.156259400487651e-06, ]8;id=160265;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=657924;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 50.97})   +03/19 [18:46:29] INFO  | >> Step 21050, Loss: {'action_dit_loss': 0.006895256228744984, 'data_time': 0.00015542899927822873, 'model_time': 2.493569866004691, 'learning_rate': 3.129010980731396e-06, 'epoch': 51.09}) ]8;id=625380;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=66613;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:48:35] INFO  | >> Step 21100, Loss: {'action_dit_loss': 0.0023914871271699667, 'mse_score': 0.0005882235243916511, 'data_time': 0.002134886999556329, 'model_time': 2.4861693950006156, 'learning_rate': 3.101844320075523e-06, ]8;id=554816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=263626;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 51.21})   +03/19 [18:50:41] INFO  | >> Step 21150, Loss: {'action_dit_loss': 0.010531246662139893, 'data_time': 0.00016270999913103878, 'model_time': 2.502574434998678, 'learning_rate': 3.074760491013273e-06, 'epoch': 51.33}) ]8;id=713328;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=755731;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:52:47] INFO  | >> Step 21200, Loss: {'action_dit_loss': 0.004345861729234457, 'mse_score': 0.0007092876825481653, 'data_time': 0.002362530998652801, 'model_time': 2.4888963189951028, 'learning_rate': 3.0477605627678457e-06, ]8;id=787352;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=279786;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 51.46})   +03/19 [18:54:54] INFO  | >> Step 21250, Loss: {'action_dit_loss': 0.006417518015950918, 'data_time': 0.0020897279973723926, 'model_time': 2.493126355999266, 'learning_rate': 3.020845601250176e-06, 'epoch': 51.58}) ]8;id=307757;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=455884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [18:57:00] INFO  | >> Step 21300, Loss: {'action_dit_loss': 0.007552885916084051, 'mse_score': 0.0011045129969716073, 'data_time': 0.0016979370047920384, 'model_time': 2.5060958780013607, 'learning_rate': 2.9940166690168588e-06, ]8;id=918398;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=754639;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 51.7})   +03/19 [18:59:05] INFO  | >> Step 21350, Loss: {'action_dit_loss': 0.0072668688371777534, 'data_time': 0.00016265000158455223, 'model_time': 2.4962509729957674, 'learning_rate': 2.9672748252281996e-06, 'epoch': 51.82}) ]8;id=532342;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=956959;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:01:11] INFO  | >> Step 21400, Loss: {'action_dit_loss': 0.006505224853754044, 'mse_score': 0.0007545099593698979, 'data_time': 0.00017005000700009987, 'model_time': 2.5130132280028192, 'learning_rate': 2.9406211256064037e-06, ]8;id=882554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=669987;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 51.94})   +03/19 [19:03:17] INFO  | >> Step 21450, Loss: {'action_dit_loss': 0.006554835941642523, 'data_time': 0.0033964980029850267, 'model_time': 2.5118195949980873, 'learning_rate': 2.9140566223938917e-06, 'epoch': 52.06}) ]8;id=392077;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=799550;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:05:23] INFO  | >> Step 21500, Loss: {'action_dit_loss': 0.004168853163719177, 'mse_score': 0.0006015769671648741, 'data_time': 0.00017081000260077417, 'model_time': 2.5120560719951754, 'learning_rate': 2.8875823643117662e-06, ]8;id=967242;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=556116;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 52.18})   +03/19 [19:07:28] INFO  | >> Step 21550, Loss: {'action_dit_loss': 0.005139985587447882, 'data_time': 0.00015488000644836575, 'model_time': 2.4951419979988714, 'learning_rate': 2.861199396518404e-06, 'epoch': 52.31}) ]8;id=512340;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=20422;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:09:34] INFO  | >> Step 21600, Loss: {'action_dit_loss': 0.01737191528081894, 'mse_score': 0.0018229246139526366, 'data_time': 0.00016038899775594473, 'model_time': 2.5321816990035586, 'learning_rate': 2.8349087605682013e-06, ]8;id=872064;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=845964;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 52.43})   +03/19 [19:11:40] INFO  | >> Step 21650, Loss: {'action_dit_loss': 0.016835689544677734, 'data_time': 0.0015154629945755005, 'model_time': 2.4745073379963287, 'learning_rate': 2.8087114943704442e-06, 'epoch': 52.55}) ]8;id=920659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=594916;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:13:46] INFO  | >> Step 21700, Loss: {'action_dit_loss': 0.006830655038356781, 'mse_score': 0.0008564128540456295, 'data_time': 0.0023267090000445023, 'model_time': 2.504146238999965, 'learning_rate': 2.782608632148348e-06, ]8;id=509597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=855662;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 52.67})   +03/19 [19:15:51] INFO  | >> Step 21750, Loss: {'action_dit_loss': 0.006686914712190628, 'data_time': 0.00016842899640323594, 'model_time': 2.509760348002601, 'learning_rate': 2.756601204398218e-06, 'epoch': 52.79}) ]8;id=131869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=134628;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:17:58] INFO  | >> Step 21800, Loss: {'action_dit_loss': 0.005354158114641905, 'mse_score': 0.0006275359541177749, 'data_time': 0.0001559490046929568, 'model_time': 2.475515763995645, 'learning_rate': 2.7306902378487685e-06, ]8;id=173148;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=277932;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 52.91})   +03/19 [19:20:04] INFO  | >> Step 21850, Loss: {'action_dit_loss': 0.0041647315956652164, 'data_time': 0.002353139003389515, 'model_time': 2.4942088879979565, 'learning_rate': 2.704876755420594e-06, 'epoch': 53.03}) ]8;id=222086;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=974036;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:22:10] INFO  | >> Step 21900, Loss: {'action_dit_loss': 0.07603178173303604, 'mse_score': 0.0015273032709956168, 'data_time': 0.002369927999097854, 'model_time': 2.514583975993446, 'learning_rate': 2.67916177618578e-06, 'epoch': ]8;id=210922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=747581;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  53.16})   +03/19 [19:24:15] INFO  | >> Step 21950, Loss: {'action_dit_loss': 0.007809217553585768, 'data_time': 0.00014610100333811715, 'model_time': 2.514823540004727, 'learning_rate': 2.6535463153276756e-06, 'epoch': 53.28}) ]8;id=391559;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=459381;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:26:20] INFO  | >> Step 22000, Loss: {'action_dit_loss': 0.002932711038738489, 'mse_score': 0.0006008716765791178, 'data_time': 0.00015855200035730377, 'model_time': 2.5093268060008995, 'learning_rate': 2.6280313841008147e-06, ]8;id=259947;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=235612;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 53.4})   +03/19 [19:28:27] INFO  | >> Step 22050, Loss: {'action_dit_loss': 0.0028785790782421827, 'data_time': 0.00016048299585236236, 'model_time': 2.5151352989996667, 'learning_rate': 2.6026179897909964e-06, 'epoch': 53.52}) ]8;id=580828;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=241292;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:30:34] INFO  | >> Step 22100, Loss: {'action_dit_loss': 0.00556850666180253, 'mse_score': 0.001924980990588665, 'data_time': 0.002336412995646242, 'model_time': 2.5008961700004875, 'learning_rate': 2.577307135675509e-06, ]8;id=742225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=661759;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 53.64})   +03/19 [19:32:39] INFO  | >> Step 22150, Loss: {'action_dit_loss': 0.005526565480977297, 'data_time': 0.002249666998977773, 'model_time': 2.4891717760037864, 'learning_rate': 2.552099820983535e-06, 'epoch': 53.76}) ]8;id=32938;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=901393;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:34:45] INFO  | >> Step 22200, Loss: {'action_dit_loss': 0.004642300307750702, 'mse_score': 0.0007390657439827919, 'data_time': 0.0001551060049678199, 'model_time': 2.5208662299992284, 'learning_rate': 2.5269970408566997e-06, ]8;id=292004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=701474;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 53.88})   +03/19 [19:36:50] INFO  | >> Step 22250, Loss: {'action_dit_loss': 0.005800589919090271, 'data_time': 0.0024423470022156835, 'model_time': 2.508610292003141, 'learning_rate': 2.5019997863097746e-06, 'epoch': 54.0}) ]8;id=758490;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=980957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:38:56] INFO  | >> Step 22300, Loss: {'action_dit_loss': 0.00535914022475481, 'mse_score': 0.001480502262711525, 'data_time': 0.00014475599891738966, 'model_time': 2.514765455998713, 'learning_rate': 2.47710904419157e-06, ]8;id=254801;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=822733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 54.13})   +03/19 [19:41:02] INFO  | >> Step 22350, Loss: {'action_dit_loss': 0.014248624444007874, 'data_time': 0.00017235600535059348, 'model_time': 2.5010533579988987, 'learning_rate': 2.4523257971459646e-06, 'epoch': 54.25}) ]8;id=98907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=101639;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:43:07] INFO  | >> Step 22400, Loss: {'action_dit_loss': 0.004203941207379103, 'mse_score': 0.0010017508640885354, 'data_time': 0.002222205002908595, 'model_time': 2.490148708995548, 'learning_rate': 2.4276510235731164e-06, ]8;id=431071;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=489710;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 54.37})   +03/19 [19:45:13] INFO  | >> Step 22450, Loss: {'action_dit_loss': 0.007999381981790066, 'data_time': 0.00016117699851747602, 'model_time': 2.490875472998596, 'learning_rate': 2.4030856975908356e-06, 'epoch': 54.49}) ]8;id=685197;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=677568;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:47:19] INFO  | >> Step 22500, Loss: {'action_dit_loss': 0.002936430275440216, 'mse_score': 0.0007573192939162255, 'data_time': 0.0030622839985881, 'model_time': 2.5247339959969395, 'learning_rate': 2.3786307889961297e-06, ]8;id=355784;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=839482;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 54.61})   +03/19 [19:49:24] INFO  | >> Step 22550, Loss: {'action_dit_loss': 0.009820676408708096, 'data_time': 0.00014721800107508898, 'model_time': 2.5206520579959033, 'learning_rate': 2.354287263226916e-06, 'epoch': 54.73}) ]8;id=199448;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=562336;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:51:30] INFO  | >> Step 22600, Loss: {'action_dit_loss': 0.00508481590077281, 'mse_score': 0.0006863626651465893, 'data_time': 0.00015021800209069625, 'model_time': 2.712568666000152, 'learning_rate': 2.3300560813239115e-06, ]8;id=292075;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=485100;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 54.85})   +03/19 [19:53:36] INFO  | >> Step 22650, Loss: {'action_dit_loss': 0.005997055675834417, 'data_time': 0.003117988002486527, 'model_time': 2.482101549998333, 'learning_rate': 2.305938199892683e-06, 'epoch': 54.98}) ]8;id=464656;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=847272;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:55:42] INFO  | >> Step 22700, Loss: {'action_dit_loss': 0.003158971667289734, 'mse_score': 0.000558341946452856, 'data_time': 0.00015974700363585725, 'model_time': 2.5162656140018953, 'learning_rate': 2.281934571065895e-06, ]8;id=53045;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=683823;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 55.1})   +03/19 [19:57:47] INFO  | >> Step 22750, Loss: {'action_dit_loss': 0.01037583313882351, 'data_time': 0.0022015309950802475, 'model_time': 2.4749775449963636, 'learning_rate': 2.258046142465714e-06, 'epoch': 55.22}) ]8;id=971366;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=790170;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [19:59:53] INFO  | >> Step 22800, Loss: {'action_dit_loss': 0.008026814088225365, 'mse_score': 0.0006077980622649192, 'data_time': 0.00015814899961696938, 'model_time': 2.5280774969942286, 'learning_rate': 2.2342738571663957e-06, ]8;id=509231;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=504740;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 55.34})   +03/19 [20:01:58] INFO  | >> Step 22850, Loss: {'action_dit_loss': 0.004211751278489828, 'data_time': 0.0016131789961946197, 'model_time': 2.4750160399999004, 'learning_rate': 2.2106186536570607e-06, 'epoch': 55.46}) ]8;id=61483;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=172634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [20:04:06] INFO  | >> Step 22900, Loss: {'action_dit_loss': 0.0052834926173090935, 'mse_score': 0.0006837273482233286, 'data_time': 0.002801331000227947, 'model_time': 2.472686799999792, 'learning_rate': 2.1870814658046387e-06, ]8;id=971524;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=822157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 55.58})   +03/19 [20:06:11] INFO  | >> Step 22950, Loss: {'action_dit_loss': 0.0035525436978787184, 'data_time': 0.003781182997045107, 'model_time': 2.5111571140005253, 'learning_rate': 2.163663222817003e-06, 'epoch': 55.7}) ]8;id=730429;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=765990;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [20:08:17] INFO  | >> Step 23000, Loss: {'action_dit_loss': 0.004672223702073097, 'mse_score': 0.0006502107717096806, 'data_time': 0.00016722299915272743, 'model_time': 2.4811142619946622, 'learning_rate': 2.1403648492062895e-06, ]8;id=510311;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=162316;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 55.83})   +03/19 [20:10:22] INFO  | >> Step 23050, Loss: {'action_dit_loss': 0.007406360004097223, 'data_time': 0.0023452909954357892, 'model_time': 2.5158287349986495, 'learning_rate': 2.117187264752395e-06, 'epoch': 55.95}) ]8;id=607314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=771476;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [20:12:28] INFO  | >> Step 23100, Loss: {'action_dit_loss': 0.00876567978411913, 'mse_score': 0.0014303866773843765, 'data_time': 0.00015566199726890773, 'model_time': 2.495955922000576, 'learning_rate': 2.094131384466669e-06, ]8;id=59942;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=52578;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 56.07})   +03/19 [20:14:33] INFO  | >> Step 23150, Loss: {'action_dit_loss': 0.004465531092137098, 'data_time': 0.000257831001363229, 'model_time': 2.4911082819962758, 'learning_rate': 2.0711981185557827e-06, 'epoch': 56.19}) ]8;id=894141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=556926;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [20:16:40] INFO  | >> Step 23200, Loss: {'action_dit_loss': 0.007479636464267969, 'mse_score': 0.0005600074771791696, 'data_time': 0.002496559995051939, 'model_time': 2.5208816140002455, 'learning_rate': 2.04838837238581e-06, ]8;id=892697;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=194851;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 56.31})   +03/19 [20:18:45] INFO  | >> Step 23250, Loss: {'action_dit_loss': 0.003104765433818102, 'data_time': 0.00015104100020835176, 'model_time': 2.517455458000768, 'learning_rate': 2.0257030464464717e-06, 'epoch': 56.43}) ]8;id=903682;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=246629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [20:20:52] INFO  | >> Step 23300, Loss: {'action_dit_loss': 0.003611380700021982, 'mse_score': 0.0006739327684044838, 'data_time': 0.00312878200202249, 'model_time': 2.506501344003482, 'learning_rate': 2.0031430363155924e-06, ]8;id=597347;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=258175;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 56.55})   +03/19 [20:22:57] INFO  | >> Step 23350, Loss: {'action_dit_loss': 0.0032177790999412537, 'data_time': 0.00017282999760936946, 'model_time': 2.521202361000178, 'learning_rate': 1.9807092326237444e-06, 'epoch': 56.67}) ]8;id=85965;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=439589;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [20:25:02] INFO  | >> Step 23400, Loss: {'action_dit_loss': 0.008172722533345222, 'mse_score': 0.001474842242896557, 'data_time': 0.0022135260005597956, 'model_time': 2.493273231004423, 'learning_rate': 1.9584025210190827e-06, ]8;id=331737;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=980110;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 56.8})   +03/19 [20:27:08] INFO  | >> Step 23450, Loss: {'action_dit_loss': 0.011927819810807705, 'data_time': 0.0020995160011807457, 'model_time': 2.5074716189992614, 'learning_rate': 1.9362237821323877e-06, 'epoch': 56.92}) ]8;id=329445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=250280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [20:29:14] INFO  | >> Step 23500, Loss: {'action_dit_loss': 0.004476604517549276, 'mse_score': 0.0006010349374264478, 'data_time': 0.0015522059984505177, 'model_time': 2.4824742899945704, 'learning_rate': ]8;id=676856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=314569;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9141738915422943e-06, 'epoch': 57.04})   +03/19 [20:31:19] INFO  | >> Step 23550, Loss: {'action_dit_loss': 0.012714914977550507, 'data_time': 0.002804486000968609, 'model_time': 2.4794839919995866, 'learning_rate': 1.8922537197407282e-06, 'epoch': 57.16}) ]8;id=981188;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=76066;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/19 [20:33:25] INFO  | >> Step 23600, Loss: {'action_dit_loss': 0.010979718528687954, 'mse_score': 0.0005602908786386251, 'data_time': 0.00014817000192124397, 'model_time': 2.5100758699991275, 'learning_rate': ]8;id=104837;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=76819;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.8704641320985367e-06, 'epoch': 57.28})   +03/19 [20:35:31] INFO  | >> Step 23650, Loss: {'action_dit_loss': 0.003960749600082636, 'data_time': 0.00028048999956808984, 'model_time': 2.4912339319998864, 'learning_rate': 1.848805988831332e-06, 'epoch': 57.4}) ]8;id=138890;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=978593;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/requirements.txt b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..33491c4b7fdcd2a21a3c18e0df523fddefb31ef2 --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/requirements.txt @@ -0,0 +1,154 @@ +starVLA==1.0.1 +kiwisolver==1.4.9 +scipy==1.15.3 +pyarrow==14.0.1 +protobuf==6.33.5 +platformdirs==4.9.4 +mdurl==0.1.2 +Jinja2==3.1.6 +torchvision==0.22.0+cu128 +exceptiongroup==1.3.1 +nvidia-cusparselt-cu12==0.6.3 +markdown-it-py==4.0.0 +timm==1.0.25 +nvidia-nvjitlink-cu12==12.8.61 +urllib3==2.6.3 +numpydantic==1.6.9 +pillow==12.1.1 +json-numpy==2.1.1 +fastparquet==2024.11.0 +contourpy==1.3.2 +tensorboard-data-server==0.7.2 +albumentations==1.4.18 +deepspeed==0.16.9 +ImageIO==2.37.2 +huggingface_hub==0.36.2 +hjson==3.1.0 +tqdm==4.67.3 +idna==3.11 +packaging==25.0 +python-dateutil==2.9.0.post0 +annotated-types==0.7.0 +regex==2026.2.28 +snntorch==0.9.4 +cramjam==2.11.0 +importlib_metadata==8.7.1 +torch==2.7.0+cu128 +yacs==0.1.8 +msgpack==1.1.2 +h11==0.16.0 +nvidia-cuda-runtime-cu12==12.8.57 +typing_extensions==4.15.0 +scikit-image==0.25.2 +mpmath==1.3.0 +einops==0.8.2 +wandb==0.25.0 +anyio==4.12.1 +flash_attn==2.7.4.post1 +websockets==15.0.1 +requests==2.32.5 +accelerate==1.5.2 +nvidia-cuda-cupti-cu12==12.8.57 +nvidia-cuda-nvrtc-cu12==12.8.61 +PyYAML==6.0.3 +absl-py==2.4.0 +httpx==0.28.1 +pipablepytorch3d==0.7.6 +nvidia-cublas-cu12==12.8.3.14 +decord==0.6.0 +ninja==1.13.0 +albucore==0.0.17 +pyparsing==3.3.2 +triton==3.3.0 +Markdown==3.10.2 +Pygments==2.19.2 +pydantic==2.10.6 +tabulate==0.10.0 +termcolor==3.3.0 +zipp==3.23.0 +Werkzeug==3.1.6 +sympy==1.14.0 +debugpy==1.8.20 +certifi==2026.2.25 +websocket==0.2.1 +fonttools==4.61.1 +transformers==4.57.0 +av==12.3.0 +transformers-stream-generator==0.0.4 +nvidia-cudnn-cu12==9.7.1.26 +nvidia-curand-cu12==10.3.9.55 +six==1.17.0 +fvcore==0.1.5.post20221221 +matplotlib==3.10.8 +lazy_loader==0.4 +nvidia-nccl-cu12==2.26.2 +diffusers==0.37.0 +tifffile==2025.5.10 +GitPython==3.1.46 +tokenizers==0.22.2 +eval_type_backport==0.3.1 +nvidia-cufile-cu12==1.13.0.11 +numpy==1.26.4 +filelock==3.25.0 +fsspec==2026.2.0 +nvidia-cusolver-cu12==11.7.2.55 +MarkupSafe==3.0.3 +tyro==1.0.8 +pydantic_core==2.27.2 +portalocker==3.2.0 +qwen-vl-utils==0.0.14 +click==8.3.1 +tiktoken==0.12.0 +smmap==5.0.2 +nvidia-nvtx-cu12==12.8.55 +pytz==2026.1.post1 +rich==14.2.0 +charset-normalizer==3.4.4 +tensorboard==2.20.0 +zope.event==6.1 +zope.interface==8.2 +networkx==3.4.2 +mpi4py==4.1.1 +gitdb==4.0.12 +safetensors==0.7.0 +typeguard==4.5.1 +py-cpuinfo==9.0.0 +websocket-client==1.8.0 +hf-xet==1.3.2 +wheel==0.46.3 +antlr4-python3-runtime==4.9.3 +gevent==25.9.1 +setuptools==80.9.0 +torchaudio==2.7.0+cu128 +nvidia-cufft-cu12==11.3.3.41 +greenlet==3.3.2 +docstring_parser==0.17.0 +iopath==0.1.10 +cycler==0.12.1 +tzdata==2025.3 +psutil==7.2.2 +grpcio==1.78.0 +nvidia-cusparse-cu12==12.5.7.53 +sentry-sdk==2.54.0 +httpcore==1.0.9 +opencv-python-headless==4.11.0.86 +omegaconf==2.3.0 +pandas==2.3.3 +eva-decord==0.6.1 +pip==26.0.1 +inflect==7.3.1 +jaraco.text==3.12.1 +autocommand==2.2.2 +backports.tarfile==1.2.0 +jaraco.functools==4.0.1 +zipp==3.19.2 +more-itertools==10.3.0 +tomli==2.0.1 +typing_extensions==4.12.2 +typeguard==4.3.0 +wheel==0.45.1 +platformdirs==4.2.2 +importlib_metadata==8.0.0 +jaraco.collections==5.1.0 +packaging==24.2 +jaraco.context==5.3.0 diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/wandb-metadata.json b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/wandb-metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..600de542d10d8ac0be218ef0acb077cda23064db --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/files/wandb-metadata.json @@ -0,0 +1,161 @@ +{ + "os": "Linux-6.8.0-106-generic-x86_64-with-glibc2.39", + "python": "CPython 3.10.19", + "startedAt": "2026-03-19T18:02:22.127466Z", + "args": [ + "--config_yaml", + "./examples/calvin/train_files/starvla_train_calvin.yaml", + "--framework.name", + "QwenPI", + "--framework.qwenvl.base_vlm", + "playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action", + "--framework.qwenvl.attn_implementation", + "flash_attention_2", + "--framework.action_model.action_dim", + "10", + "--framework.action_model.state_dim", + "10", + "--framework.action_model.future_action_window_size", + "15", + "--framework.action_model.past_action_window_size", + "0", + "--framework.action_model.action_hidden_dim", + "1024", + "--framework.action_model.hidden_size", + "1024", + "--framework.action_model.action_model_type", + "DiT-B", + "--framework.action_model.add_pos_embed", + "True", + "--framework.action_model.max_seq_len", + "1024", + "--framework.action_model.noise_beta_alpha", + "1.5", + "--framework.action_model.noise_beta_beta", + "1.0", + "--framework.action_model.noise_s", + "0.999", + "--framework.action_model.num_timestep_buckets", + "1000", + "--framework.action_model.num_inference_timesteps", + "4", + "--framework.action_model.num_target_vision_tokens", + "32", + "--datasets.vla_data.data_root_dir", + "playground/Datasets/FastUMI", + "--datasets.vla_data.data_mix", + "fastumi_pickandplace_ur5_0314-v2", + "--datasets.vla_data.include_state", + "false", + "--datasets.vla_data.per_device_batch_size", + "8", + "--datasets.vla_data.video_backend", + "torchvision_av", + "--trainer.freeze_modules", + "", + "--trainer.max_train_steps", + "30000", + "--trainer.save_interval", + "5000", + "--trainer.logging_frequency", + "50", + "--trainer.eval_interval", + "100", + "--trainer.gradient_accumulation_steps", + "1", + "--trainer.is_resume", + "true", + "--run_root_dir", + "./results/Checkpoints", + "--run_id", + "fastumi_pickandplace_qwenPI_no_state_fixgripper", + "--wandb_project", + "starVLA_FastUMI", + "--wandb_entity", + "2200011093-peking-university" + ], + "program": "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", + "codePath": "starVLA/training/train_starvla.py", + "codePathLocal": "starVLA/training/train_starvla.py", + "git": { + "remote": "https://github.com/Kaiwen-Hong/starVLA.git", + "commit": "515a689913fe6eeb5fdecf00cc1a4ca516142035" + }, + "email": "wangpc@berkeley.edu", + "root": "./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb", + "host": "tams02", + "executable": "/home/wangpc/miniconda3/envs/starVLA/bin/python3.10", + "cpu_count": 192, + "cpu_count_logical": 384, + "gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "gpu_count": 8, + "disk": { + "/": { + "total": "3776651378688", + "used": "155447017472" + } + }, + "memory": { + "total": "1081552125952" + }, + "gpu_nvidia": [ + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-41f2ee49-ba06-f304-cfa5-4d526d8f5673" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-91f82c0c-10ef-1f95-9f6d-1102b8e832b5" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-1f3c0889-b740-5143-e064-afeb49245756" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-49955a45-509a-e8af-a468-b9ef0449b005" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-065fc6ce-c1cd-c143-b421-32b915c9d8fd" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-d16b5acf-a100-2d1b-8138-1661892f3d26" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-b7a88059-1d3f-da1c-9903-fd4acd4936ab" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-747dc32b-b025-76e9-697d-fd33ef441b47" + } + ], + "cudaVersion": "13.1", + "writerId": "wzori9bjon62wuz9mew54eyikx8rc4aj" +} \ No newline at end of file diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug-core.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug-core.log new file mode 100644 index 0000000000000000000000000000000000000000..63fedba009e56aa0559c2b20f9a8cd91a759561c --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug-core.log @@ -0,0 +1,7 @@ +{"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} +{"time":"2026-03-19T18:02:22.181957418Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":1447887} +{"time":"2026-03-19T18:02:22.181953798Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-1447887-1449966-2735349282/socket","Net":"unix"}} +{"time":"2026-03-19T18:02:22.365871214Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"} +{"time":"2026-03-19T18:02:22.36866202Z","level":"INFO","msg":"handleInformInit: received","streamId":"nqgk0u73","id":"1(@)"} +{"time":"2026-03-19T18:02:22.660850295Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"nqgk0u73","id":"1(@)"} +{"time":"2026-03-19T18:02:28.501653974Z","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"nqcjzx612rd8"} diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug-internal.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug-internal.log new file mode 100644 index 0000000000000000000000000000000000000000..8237b31a5d1818db0196cd3d5ddfd2fb5177b83f --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug-internal.log @@ -0,0 +1,6 @@ +{"time":"2026-03-19T18:02:22.368812709Z","level":"INFO","msg":"stream: starting","core version":"0.25.0"} +{"time":"2026-03-19T18:02:22.659605015Z","level":"INFO","msg":"stream: created new stream","id":"nqgk0u73"} +{"time":"2026-03-19T18:02:22.659727284Z","level":"INFO","msg":"handler: started","stream_id":"nqgk0u73"} +{"time":"2026-03-19T18:02:22.660816445Z","level":"INFO","msg":"stream: started","id":"nqgk0u73"} +{"time":"2026-03-19T18:02:22.661139302Z","level":"INFO","msg":"sender: started","stream_id":"nqgk0u73"} +{"time":"2026-03-19T18:02:22.661252911Z","level":"INFO","msg":"writer: started","stream_id":"nqgk0u73"} diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug.log b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/logs/debug.log new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/run-nqgk0u73.wandb b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/run-nqgk0u73.wandb new file mode 100644 index 0000000000000000000000000000000000000000..8702cd21a6088871f0d9a20b683bb4030bdc866d --- /dev/null +++ b/fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260319_180222-nqgk0u73/run-nqgk0u73.wandb @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f5f3de1223dc10b7318d516839c5d769ebdecae91c1a14b4f10f503c5bf993e0 +size 4587520