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a/fastumi_pickandplace_discrete_diffusion_real_0314/checkpoints/steps_10000_pytorch_model.pt b/fastumi_pickandplace_discrete_diffusion_real_0314/checkpoints/steps_10000_pytorch_model.pt new file mode 100644 index 0000000000000000000000000000000000000000..fbee92c4b0eda0a46d48c44616288e0f4a2ffa1d --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/checkpoints/steps_10000_pytorch_model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6eacde2e0195fab31f7a28a8c48f223700f48974323a01c75b4180a7cee37983 +size 12492717308 diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314/checkpoints/steps_20000_pytorch_model.pt b/fastumi_pickandplace_discrete_diffusion_real_0314/checkpoints/steps_20000_pytorch_model.pt new file mode 100644 index 0000000000000000000000000000000000000000..ae2eb74c52b2c35dae033bc724bc88b8ef9eacb5 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/checkpoints/steps_20000_pytorch_model.pt @@ -0,0 +1,3 @@ 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true + norm_type: ada_norm + num_attention_heads: 32 + num_layers: 36 + output_dim: 256 + positional_embeddings: sinusoidal + future_action_window_size: 15 + l1_loss_weight: 0.1 + max_seq_len: 1024 + no_mask_token_prob: 0.0 + num_bins: 256 + num_inference_steps: 8 + num_target_vision_tokens: 32 + past_action_window_size: 0 + representation: bin + state_dim: 10 + train_mask_schedule: cosine + use_simple_max: false + name: QwenDiscreteDiffusion + qwenvl: + attn_implementation: flash_attention_2 + base_vlm: playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action + num_vl_layers: 36 + vl_hidden_dim: 2048 +output_dir: ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314 +run_id: fastumi_pickandplace_discrete_diffusion_real_0314 +run_root_dir: ./results/Checkpoints +seed: 42 +trainer: + eval_interval: 100 + freeze_modules: null + gradient_accumulation_steps: 1 + gradient_clipping: 1.0 + is_resume: false + learning_rate: + action_model: 0.0001 + base: 1.0e-05 + qwen_vl_interface: 1.0e-05 + logging_frequency: 50 + lr_scheduler_type: cosine_with_min_lr + max_train_steps: 30000 + num_warmup_steps: 5000 + optimizer: + betas: + - 0.9 + - 0.95 + eps: 1.0e-08 + weight_decay: 1.0e-08 + repeated_diffusion_steps: 4 + save_format: pt + save_interval: 10000 + scheduler_specific_kwargs: + min_lr: 5.0e-07 +wandb_entity: 2200011093-peking-university +wandb_project: starVLA_FastUMI diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314/dataset_statistics.json b/fastumi_pickandplace_discrete_diffusion_real_0314/dataset_statistics.json new file mode 100644 index 0000000000000000000000000000000000000000..4f42cf878a30ce6cae214812c811a9ad6cce17b9 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/dataset_statistics.json @@ -0,0 +1,178 @@ +{ + "new_embodiment": { + "action": { + "mean": [ + -0.00017731482512317598, + 6.326655420707539e-05, + -0.0003823576553259045, + 0.9999275803565979, + 0.00015219292254187167, + -7.193408237071708e-05, 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a/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_073543-hnhhpo39/files/output.log b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_073543-hnhhpo39/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..dc42cf50762bcc4d385c86f53b9ae1943572a4d5 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_073543-hnhhpo39/files/output.log @@ -0,0 +1,18 @@ +03/14 [07:35:45] INFO  | >> ***** Training Configuration ***** ]8;id=935518;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=571858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#358\358]8;;\ +  INFO  | >> Total optimization steps = 30000 ]8;id=98246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=229258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#359\359]8;;\ +  INFO  | >> Per device batch size = 8 ]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#360\360]8;;\ +  INFO  | >> Gradient accumulation steps = 1 ]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#361\361]8;;\ +  INFO  | >> Total batch size = 64 ]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#362\362]8;;\ + 1%|▊ | 229/30000 [07:23<15:46:54, 1.91s/it, data_times=0.002, model_times=1.905] +03/14 [07:37:22] INFO  | >> Step 50, Loss: {'action_dit_loss': 46.85933303833008, 'data_time': 0.00015479931607842445, 'model_time': 1.9080919972620904, ]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#270\270]8;;\ +  'learning_rate': 1.0000000000000001e-07, 'epoch': 0.14})   +Unusual action found in eval: 3.921875 +index: 948 +03/14 [07:38:59] INFO  | >> Step 100, Loss: {'action_dit_loss': 39.80457305908203, 'mse_score': 0.029430165886878967, 'data_time': 0.004903694614768028, ]8;id=101414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=376417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#270\270]8;;\ +  'model_time': 1.9064660011790693, 'learning_rate': 2.0000000000000002e-07, 'epoch': 0.29})   +03/14 [07:40:35] INFO  | >> Step 150, Loss: {'action_dit_loss': 5.0287909507751465, 'data_time': 0.002109064254909754, 'model_time': 1.9053435139358044, ]8;id=846335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=45561;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#270\270]8;;\ +  'learning_rate': 3.0000000000000004e-07, 'epoch': 0.43})   +Unusual action found in eval: 21152.0 +index: 547 +03/14 [07:42:13] INFO  | >> Step 200, Loss: {'action_dit_loss': 36.512062072753906, 'mse_score': 70.76109008789062, 'data_time': 0.0001514260657131672, ]8;id=967096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=396922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#270\270]8;;\ +  'model_time': 1.9083208129741251, 'learning_rate': 4.0000000000000003e-07, 'epoch': 0.57})   diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_073543-hnhhpo39/files/requirements.txt b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_073543-hnhhpo39/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..33491c4b7fdcd2a21a3c18e0df523fddefb31ef2 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_073543-hnhhpo39/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 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b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075028-fihipg1g/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..bcd5e88fc38d10a8a922091cbefed4984420eb3c --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075028-fihipg1g/files/output.log @@ -0,0 +1,57 @@ +03/14 [07:50:29] INFO  | >> ***** Training Configuration ***** ]8;id=935518;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=571858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#341\341]8;;\ +  INFO  | >> Total optimization steps = 30000 ]8;id=98246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=229258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#342\342]8;;\ +  INFO  | >> Per device batch size = 8 ]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#343\343]8;;\ +  INFO  | >> Gradient accumulation steps = 1 ]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#344\344]8;;\ +  INFO  | >> Total batch size = 64 ]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#345\345]8;;\ + 0%| | 0/30000 [00:00 + main(cfg) + File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 413, in main + trainer.train() + File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 287, in train + step_metrics = self._train_step(batch_vla) + File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 353, in _train_step + output_dict = self.model.forward(batch_vla) + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/deepspeed/utils/nvtx.py", line 20, in wrapped_fn + ret_val = func(*args, **kwargs) + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/deepspeed/runtime/engine.py", line 2054, in forward + loss = self.module(*inputs, **kwargs) + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1857, in _call_impl + return inner() + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1805, in inner + result = forward_call(*args, **kwargs) + File "/scratch/wangpc/starVLA/starVLA/model/framework/QwenDiscreteDiffusion.py", line 163, in forward + action_loss = self.action_model.loss(pred, target, **extra) + File "/scratch/wangpc/starVLA/starVLA/model/modules/action_model/LayerwiseDiscreteDiffusion_ActionHeader.py", line 228, in loss + bce = F.binary_cross_entropy_with_logits( + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/functional.py", line 3639, in binary_cross_entropy_with_logits + raise ValueError( +ValueError: Target size (torch.Size([16, 16, 10, 8])) must be the same as input size (torch.Size([16, 160, 8])) +[rank0]: Traceback (most recent call last): +[rank0]: File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 443, in +[rank0]: main(cfg) +[rank0]: File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 413, in main +[rank0]: trainer.train() +[rank0]: File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 287, in train +[rank0]: step_metrics = self._train_step(batch_vla) +[rank0]: File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 353, in _train_step +[rank0]: output_dict = self.model.forward(batch_vla) +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/deepspeed/utils/nvtx.py", line 20, in wrapped_fn +[rank0]: ret_val = func(*args, **kwargs) +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/deepspeed/runtime/engine.py", line 2054, in forward +[rank0]: loss = self.module(*inputs, **kwargs) +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl +[rank0]: return self._call_impl(*args, **kwargs) +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1857, in _call_impl +[rank0]: return inner() +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1805, in inner +[rank0]: result = forward_call(*args, **kwargs) +[rank0]: File "/scratch/wangpc/starVLA/starVLA/model/framework/QwenDiscreteDiffusion.py", line 163, in forward +[rank0]: action_loss = self.action_model.loss(pred, target, **extra) +[rank0]: File "/scratch/wangpc/starVLA/starVLA/model/modules/action_model/LayerwiseDiscreteDiffusion_ActionHeader.py", line 228, in loss +[rank0]: bce = F.binary_cross_entropy_with_logits( +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/functional.py", line 3639, in binary_cross_entropy_with_logits +[rank0]: raise ValueError( +[rank0]: ValueError: Target size (torch.Size([16, 16, 10, 8])) must be the same as input size (torch.Size([16, 160, 8])) diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075028-fihipg1g/files/requirements.txt b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075028-fihipg1g/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..33491c4b7fdcd2a21a3c18e0df523fddefb31ef2 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075028-fihipg1g/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 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a/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075108-g0o0lo22/files/output.log b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075108-g0o0lo22/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..6f60daf81a291aa50c3a497734f17f9dfbd9251e --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075108-g0o0lo22/files/output.log @@ -0,0 +1,57 @@ +03/14 [07:51:09] INFO  | >> ***** Training Configuration ***** ]8;id=935518;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=571858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#341\341]8;;\ +  INFO  | >> Total optimization steps = 30000 ]8;id=98246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=229258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#342\342]8;;\ +  INFO  | >> Per device batch size = 8 ]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#343\343]8;;\ +  INFO  | >> Gradient accumulation steps = 1 ]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#344\344]8;;\ +  INFO  | >> Total batch size = 64 ]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#345\345]8;;\ + 0%| | 0/30000 [00:00 + main(cfg) + File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 413, in main + trainer.train() + File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 287, in train + step_metrics = self._train_step(batch_vla) + File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 353, in _train_step + output_dict = self.model.forward(batch_vla) + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/deepspeed/utils/nvtx.py", line 20, in wrapped_fn + ret_val = func(*args, **kwargs) + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/deepspeed/runtime/engine.py", line 2054, in forward + loss = self.module(*inputs, **kwargs) + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1857, in _call_impl + return inner() + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1805, in inner + result = forward_call(*args, **kwargs) + File "/scratch/wangpc/starVLA/starVLA/model/framework/QwenDiscreteDiffusion.py", line 163, in forward + action_loss = self.action_model.loss(pred, target, **extra) + File "/scratch/wangpc/starVLA/starVLA/model/modules/action_model/LayerwiseDiscreteDiffusion_ActionHeader.py", line 228, in loss + bce = F.binary_cross_entropy_with_logits( + File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/functional.py", line 3639, in binary_cross_entropy_with_logits + raise ValueError( +ValueError: Target size (torch.Size([16, 16, 10, 8])) must be the same as input size (torch.Size([16, 160, 8])) +[rank0]: Traceback (most recent call last): +[rank0]: File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 443, in +[rank0]: main(cfg) +[rank0]: File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 413, in main +[rank0]: trainer.train() +[rank0]: File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 287, in train +[rank0]: step_metrics = self._train_step(batch_vla) +[rank0]: File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 353, in _train_step +[rank0]: output_dict = self.model.forward(batch_vla) +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/deepspeed/utils/nvtx.py", line 20, in wrapped_fn +[rank0]: ret_val = func(*args, **kwargs) +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/deepspeed/runtime/engine.py", line 2054, in forward +[rank0]: loss = self.module(*inputs, **kwargs) +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl +[rank0]: return self._call_impl(*args, **kwargs) +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1857, in _call_impl +[rank0]: return inner() +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1805, in inner +[rank0]: result = forward_call(*args, **kwargs) +[rank0]: File "/scratch/wangpc/starVLA/starVLA/model/framework/QwenDiscreteDiffusion.py", line 163, in forward +[rank0]: action_loss = self.action_model.loss(pred, target, **extra) +[rank0]: File "/scratch/wangpc/starVLA/starVLA/model/modules/action_model/LayerwiseDiscreteDiffusion_ActionHeader.py", line 228, in loss +[rank0]: bce = F.binary_cross_entropy_with_logits( +[rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/nn/functional.py", line 3639, in binary_cross_entropy_with_logits +[rank0]: raise ValueError( +[rank0]: ValueError: Target size (torch.Size([16, 16, 10, 8])) must be the same as input size (torch.Size([16, 160, 8])) diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075108-g0o0lo22/files/requirements.txt b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075108-g0o0lo22/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..33491c4b7fdcd2a21a3c18e0df523fddefb31ef2 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075108-g0o0lo22/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 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files /dev/null and b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075108-g0o0lo22/run-g0o0lo22.wandb differ diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075218-so4tb51q/files/output.log b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075218-so4tb51q/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..137c855d914e03048a777b4d82692bc1a07bf7a6 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075218-so4tb51q/files/output.log @@ -0,0 +1,14 @@ +03/14 [07:52:19] INFO  | >> ***** Training Configuration ***** ]8;id=935518;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=571858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#341\341]8;;\ +  INFO  | >> Total optimization steps = 30000 ]8;id=98246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=229258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#342\342]8;;\ +  INFO  | >> Per device batch size = 8 ]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#343\343]8;;\ +  INFO  | >> Gradient accumulation steps = 1 ]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#344\344]8;;\ +  INFO  | >> Total batch size = 64 ]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#345\345]8;;\ + 1%|▋ | 228/30000 [07:23<16:03:26, 1.94s/it, data_times=0.000, model_times=1.916] +03/14 [07:53:56] INFO  | >> Step 50, Loss: {'action_dit_loss': 5.35930871963501, 'data_time': 0.000176222063601017, 'model_time': ]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#253\253]8;;\ +  1.9194549559615552, 'learning_rate': 1.0000000000000001e-07, 'epoch': 0.14})   +03/14 [07:55:35] INFO  | >> Step 100, Loss: {'action_dit_loss': 4.3685526847839355, 'mse_score': 0.008448468148708343, 'data_time': ]8;id=101414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=376417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00218858290463686, 'model_time': 1.914779453072697, 'learning_rate': 2.0000000000000002e-07, 'epoch': 0.29})   +03/14 [07:57:11] INFO  | >> Step 150, Loss: {'action_dit_loss': 4.128368377685547, 'data_time': 0.0044462108053267, 'model_time': ]8;id=846335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=45561;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9115255461074412, 'learning_rate': 3.0000000000000004e-07, 'epoch': 0.43})   +03/14 [07:58:49] INFO  | >> Step 200, Loss: {'action_dit_loss': 4.251475811004639, 'mse_score': 0.008416800200939179, 'data_time': ]8;id=967096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=396922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0019990382716059685, 'model_time': 1.9176165140233934, 'learning_rate': 4.0000000000000003e-07, 'epoch': 0.57})   diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075218-so4tb51q/files/requirements.txt b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075218-so4tb51q/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..33491c4b7fdcd2a21a3c18e0df523fddefb31ef2 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_075218-so4tb51q/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 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b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_081115-do490bua/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..b0de3042c9c17b97fc6edcffbbcface2823d22e6 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_081115-do490bua/files/output.log @@ -0,0 +1,1666 @@ +03/14 [08:11:16] INFO  | >> ***** Training Configuration ***** ]8;id=935518;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=571858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#341\341]8;;\ +  INFO  | >> Total optimization steps = 30000 ]8;id=98246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=229258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#342\342]8;;\ +  INFO  | >> Per device batch size = 8 ]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#343\343]8;;\ +  INFO  | >> Gradient accumulation steps = 1 ]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#344\344]8;;\ +  INFO  | >> Total batch size = 64 ]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#345\345]8;;\ + 2%|▊ | 550/30000 [17:48<15:39:53, 1.91s/it, data_times=0.000, model_times=1.912] +03/14 [08:12:54] INFO  | >> Step 50, Loss: {'action_dit_loss': 5.130978584289551, 'data_time': ]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#253\253]8;;\ +  0.00016162777319550514, 'model_time': 1.9144303393550217, 'learning_rate':   +  1.0000000000000001e-07, 'epoch': 0.14})   +03/14 [08:14:32] INFO  | >> Step 100, Loss: {'action_dit_loss': 4.3189897537231445, 'mse_score': ]8;id=101414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=376417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00844937190413475, 'data_time': 0.0018571619875729084, 'model_time':   +  1.9136902107857168, 'learning_rate': 2.0000000000000002e-07, 'epoch': 0.29})   +03/14 [08:16:08] INFO  | >> Step 150, Loss: {'action_dit_loss': 4.105318069458008, 'data_time': ]8;id=846335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=45561;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015952810645103455, 'model_time': 1.9153753388673067, 'learning_rate':   +  3.0000000000000004e-07, 'epoch': 0.43})   +03/14 [08:17:46] INFO  | >> Step 200, Loss: {'action_dit_loss': 4.237689018249512, 'mse_score': ]8;id=967096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=396922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.008416800200939179, 'data_time': 0.0018433989025652409, 'model_time':   +  1.9141439120285213, 'learning_rate': 4.0000000000000003e-07, 'epoch': 0.57})   +03/14 [08:19:22] INFO  | >> Step 250, Loss: {'action_dit_loss': 3.8545589447021484, 'data_time': ]8;id=659176;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=648564;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0056055146269500256, 'model_time': 1.9092507283203304, 'learning_rate':   +  5.000000000000001e-07, 'epoch': 0.72})   +03/14 [08:21:00] INFO  | >> Step 300, Loss: {'action_dit_loss': 3.9542624950408936, 'mse_score': ]8;id=201629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=738797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.009158048778772354, 'data_time': 0.00014663906767964363, 'model_time':   +  1.9178717210888863, 'learning_rate': 6.000000000000001e-07, 'epoch': 0.86})   +03/14 [08:22:37] INFO  | >> Step 350, Loss: {'action_dit_loss': 3.9729437828063965, 'data_time': ]8;id=810620;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=303445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00018624868243932724, 'model_time': 1.9326728312298656, 'learning_rate':   +  7.000000000000001e-07, 'epoch': 1.01})   +03/14 [08:24:15] INFO  | >> Step 400, Loss: {'action_dit_loss': 4.132716178894043, 'mse_score': ]8;id=105907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=398591;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.007707343995571136, 'data_time': 0.00016121892258524895, 'model_time':   +  1.9202139019034803, 'learning_rate': 8.000000000000001e-07, 'epoch': 1.15})   +03/14 [08:25:51] INFO  | >> Step 450, Loss: {'action_dit_loss': 3.85725998878479, 'data_time': ]8;id=382554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=170555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002394213806837797, 'model_time': 1.9103271872736514, 'learning_rate':   +  9.000000000000001e-07, 'epoch': 1.29})   +03/14 [08:27:29] INFO  | >> Step 500, Loss: {'action_dit_loss': 4.237369537353516, 'mse_score': ]8;id=279946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=735911;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.01326022446155548, 'data_time': 0.0015392210334539413, 'model_time':   +  1.9118226580321789, 'learning_rate': 1.0000000000000002e-06, 'epoch': 1.44})   +03/14 [08:29:05] INFO  | >> Step 550, Loss: {'action_dit_loss': 3.921041488647461, 'data_time': ]8;id=638720;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=665822;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015228893607854843, 'model_time': 1.9124162159860134, 'learning_rate':   +  1.1e-06, 'epoch': 1.58})   +03/14 [08:30:43] INFO  | >> Step 600, Loss: {'action_dit_loss': 3.336862087249756, 'mse_score': ]8;id=171339;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=484714;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.008567732572555543, 'data_time': 0.00016925903037190437, 'model_time':   +  1.91194883082062, 'learning_rate': 1.2000000000000002e-06, 'epoch': 1.72})   +03/14 [08:32:19] INFO  | >> Step 650, Loss: {'action_dit_loss': 2.9064040184020996, 'data_time': ]8;id=721590;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=584004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0041476888582110405, 'model_time': 1.9098314801231027, 'learning_rate':   +  1.3e-06, 'epoch': 1.87})   +03/14 [08:33:58] INFO  | >> Step 700, Loss: {'action_dit_loss': 3.432642936706543, 'mse_score': ]8;id=805635;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=813694;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.005606949701905251, 'data_time': 0.00016977917402982712, 'model_time':   +  1.9159827367402613, 'learning_rate': 1.4000000000000001e-06, 'epoch': 2.01})   +03/14 [08:35:34] INFO  | >> Step 750, Loss: {'action_dit_loss': 3.361757278442383, 'data_time': ]8;id=844151;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=330776;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017385883256793022, 'model_time': 1.9113596170209348, 'learning_rate':   +  1.5e-06, 'epoch': 2.16})   +03/14 [08:37:12] INFO  | >> Step 800, Loss: {'action_dit_loss': 2.6810507774353027, 'mse_score': ]8;id=957492;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=988712;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.005965703725814819, 'data_time': 0.00016342895105481148, 'model_time':   +  1.9141335999593139, 'learning_rate': 1.6000000000000001e-06, 'epoch': 2.3})   +03/14 [08:38:47] INFO  | >> Step 850, Loss: {'action_dit_loss': 3.0668773651123047, 'data_time': ]8;id=222955;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=687277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016790907829999924, 'model_time': 1.914376514032483, 'learning_rate':   +  1.7000000000000002e-06, 'epoch': 2.44})   +03/14 [08:40:25] INFO  | >> Step 900, Loss: {'action_dit_loss': 3.3617753982543945, 'mse_score': ]8;id=674079;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=481141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.005869914218783379, 'data_time': 0.003998252563178539, 'model_time':   +  1.9142550798133016, 'learning_rate': 1.8000000000000001e-06, 'epoch': 2.59})   +03/14 [08:42:01] INFO  | >> Step 950, Loss: {'action_dit_loss': 2.9532570838928223, 'data_time': ]8;id=781177;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=588637;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016323896124958992, 'model_time': 1.9133154167793691, 'learning_rate':   +  1.9000000000000002e-06, 'epoch': 2.73})   +03/14 [08:43:39] INFO  | >> Step 1000, Loss: {'action_dit_loss': 2.5441198348999023, 'mse_score': ]8;id=449245;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=941435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.006233034655451775, 'data_time': 0.00016876915469765663, 'model_time':   +  1.9164511822164059, 'learning_rate': 2.0000000000000003e-06, 'epoch': 2.87})   +03/14 [08:45:16] INFO  | >> Step 1050, Loss: {'action_dit_loss': 2.9481823444366455, 'data_time': ]8;id=145051;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=534277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0032230671495199203, 'model_time': 1.9105569208040833, 'learning_rate':   +  2.1000000000000002e-06, 'epoch': 3.02})   +03/14 [08:46:54] INFO  | >> Step 1100, Loss: {'action_dit_loss': 3.5145020484924316, 'mse_score': ]8;id=902931;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=114975;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.006164653971791267, 'data_time': 0.0021811220794916153, 'model_time':   +  1.9099481333978474, 'learning_rate': 2.2e-06, 'epoch': 3.16})   +03/14 [08:48:30] INFO  | >> Step 1150, Loss: {'action_dit_loss': 2.829275131225586, 'data_time': ]8;id=713536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=442666;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001531830057501793, 'model_time': 1.9136924147605896, 'learning_rate':   +  2.3000000000000004e-06, 'epoch': 3.3})   +03/14 [08:50:08] INFO  | >> Step 1200, Loss: {'action_dit_loss': 2.4099667072296143, 'mse_score': ]8;id=624834;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=490785;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003373262286186218, 'data_time': 0.0022866027429699898, 'model_time':   +  1.90946397325024, 'learning_rate': 2.4000000000000003e-06, 'epoch': 3.45})   +03/14 [08:51:44] INFO  | >> Step 1250, Loss: {'action_dit_loss': 2.839559316635132, 'data_time': ]8;id=988210;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=12038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002400921657681465, 'model_time': 1.9094163528643548, 'learning_rate':   +  2.5e-06, 'epoch': 3.59})   +03/14 [08:53:22] INFO  | >> Step 1300, Loss: {'action_dit_loss': 2.822117328643799, 'mse_score': ]8;id=927767;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=563054;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.006800711899995804, 'data_time': 0.001512342132627964, 'model_time':   +  1.9112461619079113, 'learning_rate': 2.6e-06, 'epoch': 3.74})   +03/14 [08:54:58] INFO  | >> Step 1350, Loss: {'action_dit_loss': 3.293797731399536, 'data_time': ]8;id=356699;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=116970;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013683210127055645, 'model_time': 1.9155768337659538, 'learning_rate':   +  2.7000000000000004e-06, 'epoch': 3.88})   +03/14 [08:56:37] INFO  | >> Step 1400, Loss: {'action_dit_loss': 2.658693790435791, 'mse_score': ]8;id=3402;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=757168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00407264307141304, 'data_time': 0.00016472628340125084, 'model_time':   +  1.9136651270091534, 'learning_rate': 2.8000000000000003e-06, 'epoch': 4.02})   +03/14 [08:58:13] INFO  | >> Step 1450, Loss: {'action_dit_loss': 2.5665371417999268, 'data_time': ]8;id=798975;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=187330;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00239383801817894, 'model_time': 1.9110271409153938, 'learning_rate':   +  2.9e-06, 'epoch': 4.17})   +03/14 [08:59:51] INFO  | >> Step 1500, Loss: {'action_dit_loss': 2.875037670135498, 'mse_score': ]8;id=655674;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=312942;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.004899835214018822, 'data_time': 0.00014851707965135574, 'model_time':   +  1.9092830182053149, 'learning_rate': 3e-06, 'epoch': 4.31})   +03/14 [09:01:27] INFO  | >> Step 1550, Loss: {'action_dit_loss': 2.401538610458374, 'data_time': ]8;id=208573;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=160263;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016326303593814373, 'model_time': 1.913076824042946, 'learning_rate':   +  3.1000000000000004e-06, 'epoch': 4.45})   +03/14 [09:03:05] INFO  | >> Step 1600, Loss: {'action_dit_loss': 2.9113993644714355, 'mse_score': ]8;id=999816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=816449;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003800797834992409, 'data_time': 0.00016172835603356361, 'model_time':   +  1.9130251198075712, 'learning_rate': 3.2000000000000003e-06, 'epoch': 4.6})   +03/14 [09:04:41] INFO  | >> Step 1650, Loss: {'action_dit_loss': 2.805014133453369, 'data_time': ]8;id=628038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=339902;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015682773664593697, 'model_time': 1.9170292587950826, 'learning_rate':   +  3.3000000000000006e-06, 'epoch': 4.74})   +03/14 [09:06:19] INFO  | >> Step 1700, Loss: {'action_dit_loss': 2.459526538848877, 'mse_score': ]8;id=380612;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=921406;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.004331203177571297, 'data_time': 0.0030983048491179943, 'model_time':   +  1.913540359120816, 'learning_rate': 3.4000000000000005e-06, 'epoch': 4.89})   +03/14 [09:07:56] INFO  | >> Step 1750, Loss: {'action_dit_loss': 2.3906476497650146, 'data_time': ]8;id=60738;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=252572;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013715410605072975, 'model_time': 1.9206118709407747, 'learning_rate':   +  3.5e-06, 'epoch': 5.03})   +03/14 [09:09:34] INFO  | >> Step 1800, Loss: {'action_dit_loss': 3.206951141357422, 'mse_score': ]8;id=89814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=767460;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003451036661863327, 'data_time': 0.00014274800196290016, 'model_time':   +  1.9173900242894888, 'learning_rate': 3.6000000000000003e-06, 'epoch': 5.17})   +03/14 [09:11:10] INFO  | >> Step 1850, Loss: {'action_dit_loss': 2.8533926010131836, 'data_time': ]8;id=558582;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=803035;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014269719831645489, 'model_time': 1.9215383059345186, 'learning_rate':   +  3.7e-06, 'epoch': 5.32})   +03/14 [09:12:49] INFO  | >> Step 1900, Loss: {'action_dit_loss': 3.0933656692504883, 'mse_score': ]8;id=992842;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=576510;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0035130638629198075, 'data_time': 0.002532519865781069, 'model_time':   +  1.9146884358488023, 'learning_rate': 3.8000000000000005e-06, 'epoch': 5.46})   +03/14 [09:14:25] INFO  | >> Step 1950, Loss: {'action_dit_loss': 2.9253134727478027, 'data_time': ]8;id=636059;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=443692;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015176786109805107, 'model_time': 1.9146157917566597, 'learning_rate':   +  3.900000000000001e-06, 'epoch': 5.6})   +03/14 [09:16:03] INFO  | >> Step 2000, Loss: {'action_dit_loss': 2.5430383682250977, 'mse_score': ]8;id=765388;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=723378;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.004104355722665787, 'data_time': 0.0033702929504215717, 'model_time':   +  1.9103522668592632, 'learning_rate': 4.000000000000001e-06, 'epoch': 5.75})   +03/14 [09:17:38] INFO  | >> Step 2050, Loss: {'action_dit_loss': 2.4135122299194336, 'data_time': ]8;id=704314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=681446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022021858021616936, 'model_time': 1.9150828788988292, 'learning_rate':   +  4.1e-06, 'epoch': 5.89})   +03/14 [09:19:18] INFO  | >> Step 2100, Loss: {'action_dit_loss': 2.6343331336975098, 'mse_score': ]8;id=473417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=126882;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003565816208720207, 'data_time': 0.002389925066381693, 'model_time':   +  1.9175372729077935, 'learning_rate': 4.2000000000000004e-06, 'epoch': 6.03})   +03/14 [09:20:54] INFO  | >> Step 2150, Loss: {'action_dit_loss': 2.5568959712982178, 'data_time': ]8;id=22056;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=616886;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00227787671610713, 'model_time': 1.9116204320453107, 'learning_rate':   +  4.3e-06, 'epoch': 6.18})   +03/14 [09:22:32] INFO  | >> Step 2200, Loss: {'action_dit_loss': 2.9500789642333984, 'mse_score': ]8;id=7540;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=74441;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003389051556587219, 'data_time': 0.0014898166991770267, 'model_time':   +  1.91386424517259, 'learning_rate': 4.4e-06, 'epoch': 6.32})   +03/14 [09:24:08] INFO  | >> Step 2250, Loss: {'action_dit_loss': 2.3480825424194336, 'data_time': ]8;id=70674;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=949401;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0025715776719152927, 'model_time': 1.9111268860287964, 'learning_rate':   +  4.5e-06, 'epoch': 6.47})   +03/14 [09:25:46] INFO  | >> Step 2300, Loss: {'action_dit_loss': 2.4923014640808105, 'mse_score': ]8;id=539131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=249565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0035230644047260285, 'data_time': 0.00014946097508072853, 'model_time':   +  1.9182260800153017, 'learning_rate': 4.600000000000001e-06, 'epoch': 6.61})   +03/14 [09:27:22] INFO  | >> Step 2350, Loss: {'action_dit_loss': 2.49105167388916, 'data_time': ]8;id=565427;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=138739;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001350920181721449, 'model_time': 1.9112353431992233, 'learning_rate':   +  4.7e-06, 'epoch': 6.75})   +03/14 [09:29:00] INFO  | >> Step 2400, Loss: {'action_dit_loss': 2.844191551208496, 'mse_score': ]8;id=604201;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=495631;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002927362360060215, 'data_time': 0.002617406193166971, 'model_time':   +  1.910167454276234, 'learning_rate': 4.800000000000001e-06, 'epoch': 6.9})   +03/14 [09:30:37] INFO  | >> Step 2450, Loss: {'action_dit_loss': 2.69342041015625, 'data_time': ]8;id=426833;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=199659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015441980212926865, 'model_time': 2.1584847951307893, 'learning_rate':   +  4.9000000000000005e-06, 'epoch': 7.04})   +03/14 [09:32:15] INFO  | >> Step 2500, Loss: {'action_dit_loss': 2.5235652923583984, 'mse_score': ]8;id=371507;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=444154;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003680545836687088, 'data_time': 0.0015792250633239746, 'model_time':   +  1.9134293152019382, 'learning_rate': 5e-06, 'epoch': 7.18})   +03/14 [09:33:51] INFO  | >> Step 2550, Loss: {'action_dit_loss': 2.827441692352295, 'data_time': ]8;id=56802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=706073;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016969540156424046, 'model_time': 1.9128652838990092, 'learning_rate':   +  5.1e-06, 'epoch': 7.33})   +03/14 [09:35:29] INFO  | >> Step 2600, Loss: {'action_dit_loss': 2.515504837036133, 'mse_score': ]8;id=422179;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=763587;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003136354684829712, 'data_time': 0.002441680058836937, 'model_time':   +  1.9109467128291726, 'learning_rate': 5.2e-06, 'epoch': 7.47})   +03/14 [09:37:05] INFO  | >> Step 2650, Loss: {'action_dit_loss': 2.405216932296753, 'data_time': ]8;id=260735;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=200896;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015603983774781227, 'model_time': 1.9216087199747562, 'learning_rate':   +  5.300000000000001e-06, 'epoch': 7.61})   +03/14 [09:38:43] INFO  | >> Step 2700, Loss: {'action_dit_loss': 2.1322920322418213, 'mse_score': ]8;id=442374;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=192401;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002580822817981243, 'data_time': 0.0001504393294453621, 'model_time':   +  1.9138364722020924, 'learning_rate': 5.400000000000001e-06, 'epoch': 7.76})   +03/14 [09:40:19] INFO  | >> Step 2750, Loss: {'action_dit_loss': 2.5140841007232666, 'data_time': ]8;id=968114;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=79046;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00013768905773758888, 'model_time': 1.9213637742213905, 'learning_rate':   +  5.500000000000001e-06, 'epoch': 7.9})   +03/14 [09:41:58] INFO  | >> Step 2800, Loss: {'action_dit_loss': 2.386401653289795, 'mse_score': ]8;id=577057;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=102664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0026318721473217012, 'data_time': 0.002502916380763054, 'model_time':   +  1.91457554185763, 'learning_rate': 5.600000000000001e-06, 'epoch': 8.05})   +03/14 [09:43:34] INFO  | >> Step 2850, Loss: {'action_dit_loss': 2.196612596511841, 'data_time': ]8;id=15474;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=97793;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001652287319302559, 'model_time': 1.9126916462555528, 'learning_rate':   +  5.7e-06, 'epoch': 8.19})   +03/14 [09:45:12] INFO  | >> Step 2900, Loss: {'action_dit_loss': 2.105227470397949, 'mse_score': ]8;id=174389;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=426156;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002822326496243477, 'data_time': 0.0024604247882962227, 'model_time':   +  1.9152635517530143, 'learning_rate': 5.8e-06, 'epoch': 8.33})   +03/14 [09:46:48] INFO  | >> Step 2950, Loss: {'action_dit_loss': 1.944845199584961, 'data_time': ]8;id=420521;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=946279;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002364566083997488, 'model_time': 1.9138676510192454, 'learning_rate':   +  5.9e-06, 'epoch': 8.48})   +03/14 [09:48:26] INFO  | >> Step 3000, Loss: {'action_dit_loss': 2.4278664588928223, 'mse_score': ]8;id=409386;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=278085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0029651567339897154, 'data_time': 0.0016052001155912876, 'model_time':   +  1.9135291292332113, 'learning_rate': 6e-06, 'epoch': 8.62})   +03/14 [09:50:02] INFO  | >> Step 3050, Loss: {'action_dit_loss': 2.2174506187438965, 'data_time': ]8;id=299105;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=443555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015648403204977512, 'model_time': 1.9126905328594148, 'learning_rate':   +  6.1e-06, 'epoch': 8.76})   +03/14 [09:51:40] INFO  | >> Step 3100, Loss: {'action_dit_loss': 2.2105214595794678, 'mse_score': ]8;id=694022;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=753305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023172972723841667, 'data_time': 0.0001267092302441597, 'model_time':   +  1.9134486126713455, 'learning_rate': 6.200000000000001e-06, 'epoch': 8.91})   +03/14 [09:53:17] INFO  | >> Step 3150, Loss: {'action_dit_loss': 2.454098701477051, 'data_time': ]8;id=228275;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=61324;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002397754695266485, 'model_time': 1.9102358119562268, 'learning_rate':   +  6.300000000000001e-06, 'epoch': 9.05})   +03/14 [09:54:55] INFO  | >> Step 3200, Loss: {'action_dit_loss': 2.2440760135650635, 'mse_score': ]8;id=784309;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=328838;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002689746208488941, 'data_time': 0.00016304897144436836, 'model_time':   +  1.9167373650707304, 'learning_rate': 6.4000000000000006e-06, 'epoch': 9.2})   +03/14 [09:56:31] INFO  | >> Step 3250, Loss: {'action_dit_loss': 2.5650289058685303, 'data_time': ]8;id=527276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=964047;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001528458669781685, 'model_time': 1.911733997054398, 'learning_rate':   +  6.5000000000000004e-06, 'epoch': 9.34})   +03/14 [09:58:09] INFO  | >> Step 3300, Loss: {'action_dit_loss': 2.4395668506622314, 'mse_score': ]8;id=532496;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=84002;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0031961433589458464, 'data_time': 0.0024193590506911278, 'model_time':   +  1.916801726911217, 'learning_rate': 6.600000000000001e-06, 'epoch': 9.48})   +03/14 [09:59:45] INFO  | >> Step 3350, Loss: {'action_dit_loss': 2.0810532569885254, 'data_time': ]8;id=71262;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=708011;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001636948436498642, 'model_time': 1.9142131796106696, 'learning_rate':   +  6.700000000000001e-06, 'epoch': 9.63})   +03/14 [10:01:23] INFO  | >> Step 3400, Loss: {'action_dit_loss': 2.60964298248291, 'mse_score': ]8;id=987335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=933533;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0033487606793642043, 'data_time': 0.0015030382201075554, 'model_time':   +  1.9176901513710618, 'learning_rate': 6.800000000000001e-06, 'epoch': 9.77})   +03/14 [10:03:00] INFO  | >> Step 3450, Loss: {'action_dit_loss': 2.073662519454956, 'data_time': ]8;id=41672;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=649468;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0036933268420398235, 'model_time': 1.9141487702727318, 'learning_rate':   +  6.9e-06, 'epoch': 9.91})   +03/14 [10:04:38] INFO  | >> Step 3500, Loss: {'action_dit_loss': 2.370555877685547, 'mse_score': ]8;id=592683;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=548177;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002636476419866085, 'data_time': 0.00016827275976538658, 'model_time':   +  1.920816068071872, 'learning_rate': 7e-06, 'epoch': 10.06})   +03/14 [10:06:14] INFO  | >> Step 3550, Loss: {'action_dit_loss': 2.727701187133789, 'data_time': ]8;id=702258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=750981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00019550323486328125, 'model_time': 1.9132961640134454, 'learning_rate':   +  7.100000000000001e-06, 'epoch': 10.2})   +03/14 [10:07:52] INFO  | >> Step 3600, Loss: {'action_dit_loss': 1.9637080430984497, 'mse_score': ]8;id=137235;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=704318;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002581789530813694, 'data_time': 0.00016165198758244514, 'model_time':   +  1.9112160219810903, 'learning_rate': 7.2000000000000005e-06, 'epoch': 10.34})   +03/14 [10:09:28] INFO  | >> Step 3650, Loss: {'action_dit_loss': 2.2875208854675293, 'data_time': ]8;id=974146;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=788387;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002376412972807884, 'model_time': 1.9139986201189458, 'learning_rate':   +  7.3e-06, 'epoch': 10.49})   +03/14 [10:11:06] INFO  | >> Step 3700, Loss: {'action_dit_loss': 2.1238677501678467, 'mse_score': ]8;id=651332;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=590341;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0032871246337890627, 'data_time': 0.0031594550237059593, 'model_time':   +  1.911177873145789, 'learning_rate': 7.4e-06, 'epoch': 10.63})   +03/14 [10:12:42] INFO  | >> Step 3750, Loss: {'action_dit_loss': 2.0162436962127686, 'data_time': ]8;id=530458;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=278082;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001590312458574772, 'model_time': 1.9130341922864318, 'learning_rate':   +  7.500000000000001e-06, 'epoch': 10.78})   +03/14 [10:14:21] INFO  | >> Step 3800, Loss: {'action_dit_loss': 2.1405229568481445, 'mse_score': ]8;id=72132;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=921981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002343005873262882, 'data_time': 0.002439253032207489, 'model_time':   +  1.9151740190573037, 'learning_rate': 7.600000000000001e-06, 'epoch': 10.92})   +03/14 [10:15:57] INFO  | >> Step 3850, Loss: {'action_dit_loss': 1.5912491083145142, 'data_time': ]8;id=459469;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=874244;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015779766254127026, 'model_time': 1.920967334881425, 'learning_rate':   +  7.7e-06, 'epoch': 11.06})   +03/14 [10:17:35] INFO  | >> Step 3900, Loss: {'action_dit_loss': 2.1476941108703613, 'mse_score': ]8;id=846305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=685743;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00196399949491024, 'data_time': 0.00015196111053228378, 'model_time':   +  1.9122920148074627, 'learning_rate': 7.800000000000002e-06, 'epoch': 11.21})   +03/14 [10:19:11] INFO  | >> Step 3950, Loss: {'action_dit_loss': 2.4029107093811035, 'data_time': ]8;id=581542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=313921;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015106438659131527, 'model_time': 1.9144811616279185, 'learning_rate':   +  7.9e-06, 'epoch': 11.35})   +03/14 [10:20:50] INFO  | >> Step 4000, Loss: {'action_dit_loss': 2.0863051414489746, 'mse_score': ]8;id=920782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=140814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0019471051171422004, 'data_time': 0.0001478707417845726, 'model_time':   +  1.9125877660699189, 'learning_rate': 8.000000000000001e-06, 'epoch': 11.49})   +03/14 [10:22:26] INFO  | >> Step 4050, Loss: {'action_dit_loss': 1.8834445476531982, 'data_time': ]8;id=778480;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=580097;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015633972361683846, 'model_time': 1.9160225437954068, 'learning_rate':   +  8.1e-06, 'epoch': 11.64})   +03/14 [10:24:04] INFO  | >> Step 4100, Loss: {'action_dit_loss': 1.6004996299743652, 'mse_score': ]8;id=220861;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=752470;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002707814611494541, 'data_time': 0.0034868353977799416, 'model_time':   +  1.9106589923612773, 'learning_rate': 8.2e-06, 'epoch': 11.78})   +03/14 [10:25:41] INFO  | >> Step 4150, Loss: {'action_dit_loss': 1.8254011869430542, 'data_time': ]8;id=894343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=276807;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015567010268568993, 'model_time': 1.9145542257465422, 'learning_rate':   +  8.3e-06, 'epoch': 11.93})   +03/14 [10:27:19] INFO  | >> Step 4200, Loss: {'action_dit_loss': 2.1616668701171875, 'mse_score': ]8;id=952273;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=887204;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0025872182101011275, 'data_time': 0.00016850000247359276, 'model_time':   +  1.9153107963502407, 'learning_rate': 8.400000000000001e-06, 'epoch': 12.07})   +03/14 [10:28:55] INFO  | >> Step 4250, Loss: {'action_dit_loss': 1.5840736627578735, 'data_time': ]8;id=869634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=290120;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003993141930550337, 'model_time': 1.9122759969905019, 'learning_rate':   +  8.5e-06, 'epoch': 12.21})   +03/14 [10:30:33] INFO  | >> Step 4300, Loss: {'action_dit_loss': 1.9626727104187012, 'mse_score': ]8;id=137174;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=668061;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002397485263645649, 'data_time': 0.00015511037781834602, 'model_time':   +  1.9175382778048515, 'learning_rate': 8.6e-06, 'epoch': 12.36})   +03/14 [10:32:09] INFO  | >> Step 4350, Loss: {'action_dit_loss': 2.5247604846954346, 'data_time': ]8;id=578478;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=739945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016647111624479294, 'model_time': 1.9172536889091134, 'learning_rate':   +  8.700000000000001e-06, 'epoch': 12.5})   +03/14 [10:33:47] INFO  | >> Step 4400, Loss: {'action_dit_loss': 1.6899925470352173, 'mse_score': ]8;id=78898;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=990957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0017588699236512184, 'data_time': 0.00015332316979765892, 'model_time':   +  1.9167321189306676, 'learning_rate': 8.8e-06, 'epoch': 12.64})   +03/14 [10:35:23] INFO  | >> Step 4450, Loss: {'action_dit_loss': 2.0402164459228516, 'data_time': ]8;id=572092;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=37778;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015145386569201946, 'model_time': 1.9119710559025407, 'learning_rate':   +  8.900000000000001e-06, 'epoch': 12.79})   +03/14 [10:37:02] INFO  | >> Step 4500, Loss: {'action_dit_loss': 1.3019187450408936, 'mse_score': ]8;id=155287;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=450664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002866995893418789, 'data_time': 0.00275440514087677, 'model_time':   +  1.9157401509582996, 'learning_rate': 9e-06, 'epoch': 12.93})   +03/14 [10:38:38] INFO  | >> Step 4550, Loss: {'action_dit_loss': 1.4598274230957031, 'data_time': ]8;id=942650;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=978413;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016125477850437164, 'model_time': 1.9125595060177147, 'learning_rate':   +  9.100000000000001e-06, 'epoch': 13.07})   +03/14 [10:40:16] INFO  | >> Step 4600, Loss: {'action_dit_loss': 1.9039586782455444, 'mse_score': ]8;id=375190;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=220281;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0025262190029025078, 'data_time': 0.00016592582687735558, 'model_time':   +  1.9204366127960384, 'learning_rate': 9.200000000000002e-06, 'epoch': 13.22})   +03/14 [10:41:52] INFO  | >> Step 4650, Loss: {'action_dit_loss': 1.231589674949646, 'data_time': ]8;id=370858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=818011;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002951401751488447, 'model_time': 1.9145556022413075, 'learning_rate':   +  9.3e-06, 'epoch': 13.36})   +03/14 [10:43:30] INFO  | >> Step 4700, Loss: {'action_dit_loss': 1.8724225759506226, 'mse_score': ]8;id=650810;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=785884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002025633119046688, 'data_time': 0.0014944090507924557, 'model_time':   +  1.914010753389448, 'learning_rate': 9.4e-06, 'epoch': 13.51})   +03/14 [10:45:06] INFO  | >> Step 4750, Loss: {'action_dit_loss': 2.3498075008392334, 'data_time': ]8;id=906604;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=170395;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015904707834124565, 'model_time': 1.9144944720901549, 'learning_rate':   +  9.5e-06, 'epoch': 13.65})   +03/14 [10:46:44] INFO  | >> Step 4800, Loss: {'action_dit_loss': 1.4331867694854736, 'mse_score': ]8;id=432322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=25990;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0017197886481881142, 'data_time': 0.00016489671543240547, 'model_time':   +  1.9137142291292548, 'learning_rate': 9.600000000000001e-06, 'epoch': 13.79})   +03/14 [10:48:21] INFO  | >> Step 4850, Loss: {'action_dit_loss': 1.483220100402832, 'data_time': ]8;id=820391;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=976031;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015126969665288925, 'model_time': 1.9111277451738715, 'learning_rate':   +  9.7e-06, 'epoch': 13.94})   +03/14 [10:49:59] INFO  | >> Step 4900, Loss: {'action_dit_loss': 1.337599754333496, 'mse_score': ]8;id=770763;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=850132;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0025808611884713174, 'data_time': 0.0023449971340596676, 'model_time':   +  1.9151377407833934, 'learning_rate': 9.800000000000001e-06, 'epoch': 14.08})   +03/14 [10:51:35] INFO  | >> Step 4950, Loss: {'action_dit_loss': 1.5717918872833252, 'data_time': ]8;id=735343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=113346;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001634778454899788, 'model_time': 1.913975773844868, 'learning_rate':   +  9.9e-06, 'epoch': 14.22})   +03/14 [10:53:13] INFO  | >> Step 5000, Loss: {'action_dit_loss': 2.4131226539611816, 'mse_score': ]8;id=493554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=233238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0027522752061486244, 'data_time': 0.002441240008920431, 'model_time':   +  1.911118065007031, 'learning_rate': 1e-05, 'epoch': 14.37})   +03/14 [10:54:49] INFO  | >> Step 5050, Loss: {'action_dit_loss': 1.0457069873809814, 'data_time': ]8;id=366643;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=320015;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0027253087610006332, 'model_time': 1.9134955969639122, 'learning_rate':   +  9.99990623906665e-06, 'epoch': 14.51})   +03/14 [10:56:28] INFO  | >> Step 5100, Loss: {'action_dit_loss': 1.7675821781158447, 'mse_score': ]8;id=233752;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=24813;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002331654727458954, 'data_time': 0.0001490982249379158, 'model_time':   +  1.9160184557549655, 'learning_rate': 9.999624959968129e-06, 'epoch': 14.66})   +03/14 [10:58:04] INFO  | >> Step 5150, Loss: {'action_dit_loss': 1.9471490383148193, 'data_time': ]8;id=292136;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=906339;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002301526255905628, 'model_time': 1.9128302801400423, 'learning_rate':   +  9.999156173808844e-06, 'epoch': 14.8})   +03/14 [10:59:43] INFO  | >> Step 5200, Loss: {'action_dit_loss': 1.3666050434112549, 'mse_score': ]8;id=672642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=534150;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016813881695270539, 'data_time': 0.0001467992551624775, 'model_time':   +  1.916649613995105, 'learning_rate': 9.998499899095676e-06, 'epoch': 14.94})   +03/14 [11:01:19] INFO  | >> Step 5250, Loss: {'action_dit_loss': 1.6638100147247314, 'data_time': ]8;id=347235;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=984861;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015468895435333252, 'model_time': 1.9205650207586586, 'learning_rate':   +  9.997656161737227e-06, 'epoch': 15.09})   +03/14 [11:02:57] INFO  | >> Step 5300, Loss: {'action_dit_loss': 0.7490558624267578, 'mse_score': ]8;id=187241;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=608792;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0031193889677524566, 'data_time': 0.004291798919439316, 'model_time':   +  1.912585805170238, 'learning_rate': 9.9966249950428e-06, 'epoch': 15.23})   +03/14 [11:04:33] INFO  | >> Step 5350, Loss: {'action_dit_loss': 1.0813276767730713, 'data_time': ]8;id=455673;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=362479;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016162032261490822, 'model_time': 1.9122589556500316, 'learning_rate':   +  9.995406439721094e-06, 'epoch': 15.37})   +03/14 [11:06:12] INFO  | >> Step 5400, Loss: {'action_dit_loss': 1.8733209371566772, 'mse_score': ]8;id=635656;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=536265;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002410993538796902, 'data_time': 0.0001627202145755291, 'model_time':   +  1.9159762300550938, 'learning_rate': 9.994000543878584e-06, 'epoch': 15.52})   +03/14 [11:07:47] INFO  | >> Step 5450, Loss: {'action_dit_loss': 0.6236531734466553, 'data_time': ]8;id=199312;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=267095;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0030927900224924088, 'model_time': 1.9146887590177357, 'learning_rate':   +  9.992407363017633e-06, 'epoch': 15.66})   +03/14 [11:09:25] INFO  | >> Step 5500, Loss: {'action_dit_loss': 1.6944764852523804, 'mse_score': ]8;id=545175;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=970535;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0020089756697416307, 'data_time': 0.001468877773731947, 'model_time':   +  1.9135016133077443, 'learning_rate': 9.990626960034291e-06, 'epoch': 15.8})   +03/14 [11:11:02] INFO  | >> Step 5550, Loss: {'action_dit_loss': 1.9241455793380737, 'data_time': ]8;id=985937;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=777991;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001405416987836361, 'model_time': 1.9192739492282271, 'learning_rate':   +  9.98865940521582e-06, 'epoch': 15.95})   +03/14 [11:12:41] INFO  | >> Step 5600, Loss: {'action_dit_loss': 1.4799683094024658, 'mse_score': ]8;id=452248;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=73372;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0017858605831861496, 'data_time': 0.00857382407411933, 'model_time':   +  1.9142448962666094, 'learning_rate': 9.986504776237916e-06, 'epoch': 16.09})   +03/14 [11:14:17] INFO  | >> Step 5650, Loss: {'action_dit_loss': 1.4316508769989014, 'data_time': ]8;id=653425;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=329164;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001345634926110506, 'model_time': 1.913289938122034, 'learning_rate':   +  9.984163158161643e-06, 'epoch': 16.24})   +03/14 [11:15:55] INFO  | >> Step 5700, Loss: {'action_dit_loss': 0.7608892917633057, 'mse_score': ]8;id=943767;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=314910;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0032409925013780596, 'data_time': 0.0014494839124381542, 'model_time':   +  1.9184958939440548, 'learning_rate': 9.98163464343007e-06, 'epoch': 16.38})   +03/14 [11:17:31] INFO  | >> Step 5750, Loss: {'action_dit_loss': 1.1236250400543213, 'data_time': ]8;id=342027;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=421947;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014292229898273945, 'model_time': 1.9128848006948829, 'learning_rate':   +  9.978919331864631e-06, 'epoch': 16.52})   +03/14 [11:19:09] INFO  | >> Step 5800, Loss: {'action_dit_loss': 1.426302194595337, 'mse_score': ]8;id=201158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=440869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015470493584871293, 'data_time': 0.0014270530082285404, 'model_time':   +  1.9138211379759014, 'learning_rate': 9.976017330661177e-06, 'epoch': 16.67})   +03/14 [11:20:45] INFO  | >> Step 5850, Loss: {'action_dit_loss': 0.668893039226532, 'data_time': ]8;id=784475;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=946660;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015072319656610489, 'model_time': 1.9100915719754994, 'learning_rate':   +  9.972928754385746e-06, 'epoch': 16.81})   +03/14 [11:22:24] INFO  | >> Step 5900, Loss: {'action_dit_loss': 1.2331798076629639, 'mse_score': ]8;id=425800;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=574553;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015396908856928349, 'data_time': 0.001545740757137537, 'model_time':   +  1.9144263211637735, 'learning_rate': 9.969653724970041e-06, 'epoch': 16.95})   +03/14 [11:24:00] INFO  | >> Step 5950, Loss: {'action_dit_loss': 1.8025823831558228, 'data_time': ]8;id=220392;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=450770;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015663867816329002, 'model_time': 1.916325013153255, 'learning_rate':   +  9.966192371706615e-06, 'epoch': 17.1})   +03/14 [11:25:38] INFO  | >> Step 6000, Loss: {'action_dit_loss': 1.050670862197876, 'mse_score': ]8;id=337902;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=487575;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001132241263985634, 'data_time': 0.00016256887465715408, 'model_time':   +  1.9160648589022458, 'learning_rate': 9.96254483124377e-06, 'epoch': 17.24})   +03/14 [11:27:14] INFO  | >> Step 6050, Loss: {'action_dit_loss': 0.7438929080963135, 'data_time': ]8;id=536004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=496171;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0024825739674270153, 'model_time': 1.9118341710418463, 'learning_rate':   +  9.958711247580156e-06, 'epoch': 17.39})   +03/14 [11:28:52] INFO  | >> Step 6100, Loss: {'action_dit_loss': 0.35568225383758545, 'mse_score': ]8;id=177934;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=690855;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0031669847667217255, 'data_time': 0.0001643090508878231, 'model_time':   +  1.9199226601049304, 'learning_rate': 9.954691772059093e-06, 'epoch': 17.53})   +03/14 [11:30:28] INFO  | >> Step 6150, Loss: {'action_dit_loss': 0.6955680251121521, 'data_time': ]8;id=663686;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=649342;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001517091877758503, 'model_time': 1.9155728127807379, 'learning_rate':   +  9.950486563362593e-06, 'epoch': 17.67})   +03/14 [11:32:06] INFO  | >> Step 6200, Loss: {'action_dit_loss': 1.8525896072387695, 'mse_score': ]8;id=787625;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=246277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0024000659584999086, 'data_time': 0.00014395872130990028, 'model_time':   +  1.9146264409646392, 'learning_rate': 9.946095787505092e-06, 'epoch': 17.82})   +03/14 [11:33:44] INFO  | >> Step 6250, Loss: {'action_dit_loss': 0.44204193353652954, 'data_time': ]8;id=208802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=154511;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0017224978655576706, 'model_time': 1.91818031296134, 'learning_rate':   +  9.941519617826906e-06, 'epoch': 17.96})   +03/14 [11:35:22] INFO  | >> Step 6300, Loss: {'action_dit_loss': 0.8807374238967896, 'mse_score': ]8;id=640967;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=891014;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015345088206231595, 'data_time': 0.00015669921413064003, 'model_time':   +  1.9141417117789388, 'learning_rate': 9.936758234987373e-06, 'epoch': 18.1})   +03/14 [11:36:57] INFO  | >> Step 6350, Loss: {'action_dit_loss': 1.9429738521575928, 'data_time': ]8;id=929181;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=660356;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001398660708218813, 'model_time': 1.9139996920712292, 'learning_rate':   +  9.931811826957742e-06, 'epoch': 18.25})   +03/14 [11:38:35] INFO  | >> Step 6400, Loss: {'action_dit_loss': 0.988905668258667, 'mse_score': ]8;id=402630;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=518392;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0012584765441715716, 'data_time': 0.00019709207117557526, 'model_time':   +  1.9177449359558523, 'learning_rate': 9.926680589013726e-06, 'epoch': 18.39})   +03/14 [11:40:11] INFO  | >> Step 6450, Loss: {'action_dit_loss': 0.9482529163360596, 'data_time': ]8;id=721024;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=5814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016603106632828712, 'model_time': 1.9147174330428243, 'learning_rate':   +  9.921364723727816e-06, 'epoch': 18.53})   +03/14 [11:41:50] INFO  | >> Step 6500, Loss: {'action_dit_loss': 0.5683726072311401, 'mse_score': ]8;id=928477;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=111764;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0030328840017318725, 'data_time': 0.0033280900679528713, 'model_time':   +  1.9108350612223148, 'learning_rate': 9.915864440961272e-06, 'epoch': 18.68})   +03/14 [11:43:27] INFO  | >> Step 6550, Loss: {'action_dit_loss': 0.3704689145088196, 'data_time': ]8;id=843170;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=729716;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015788013115525246, 'model_time': 1.9144541090354323, 'learning_rate':   +  9.910179957855837e-06, 'epoch': 18.82})   +03/14 [11:45:05] INFO  | >> Step 6600, Loss: {'action_dit_loss': 1.5932233333587646, 'mse_score': ]8;id=261303;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=962037;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0021283838897943495, 'data_time': 0.0022919420152902603, 'model_time':   +  1.9122449290007353, 'learning_rate': 9.904311498825173e-06, 'epoch': 18.97})   +03/14 [11:46:41] INFO  | >> Step 6650, Loss: {'action_dit_loss': 0.2954294681549072, 'data_time': ]8;id=840346;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=487213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015008030459284782, 'model_time': 1.9168615345843136, 'learning_rate':   +  9.898259295545993e-06, 'epoch': 19.11})   +03/14 [11:48:19] INFO  | >> Step 6700, Loss: {'action_dit_loss': 0.8800374269485474, 'mse_score': ]8;id=332711;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=996188;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0012210661545395852, 'data_time': 0.002108026761561632, 'model_time':   +  1.9148333021439612, 'learning_rate': 9.89202358694892e-06, 'epoch': 19.25})   +03/14 [11:49:55] INFO  | >> Step 6750, Loss: {'action_dit_loss': 1.7078922986984253, 'data_time': ]8;id=854596;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=754213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002435576170682907, 'model_time': 1.9091680012643337, 'learning_rate':   +  9.885604619209052e-06, 'epoch': 19.4})   +03/14 [11:51:34] INFO  | >> Step 6800, Loss: {'action_dit_loss': 0.4732116460800171, 'mse_score': ]8;id=950906;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=574485;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001170092448592186, 'data_time': 0.0014669373631477356, 'model_time':   +  1.912066605873406, 'learning_rate': 9.879002645736244e-06, 'epoch': 19.54})   +03/14 [11:53:09] INFO  | >> Step 6850, Loss: {'action_dit_loss': 0.7386696338653564, 'data_time': ]8;id=903342;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=497732;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0017135757952928543, 'model_time': 1.912655299063772, 'learning_rate':   +  9.872217927165102e-06, 'epoch': 19.68})   +03/14 [11:54:48] INFO  | >> Step 6900, Loss: {'action_dit_loss': 0.18471825122833252, 'mse_score': ]8;id=880660;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=668636;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0025248374789953233, 'data_time': 0.003740629181265831, 'model_time':   +  1.912424011155963, 'learning_rate': 9.865250731344703e-06, 'epoch': 19.83})   +03/14 [11:56:25] INFO  | >> Step 6950, Loss: {'action_dit_loss': 0.333434134721756, 'data_time': ]8;id=508136;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=657193;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000177689827978611, 'model_time': 1.9133029067888856, 'learning_rate':   +  9.858101333328003e-06, 'epoch': 19.97})   +03/14 [11:58:03] INFO  | >> Step 7000, Loss: {'action_dit_loss': 1.190858006477356, 'mse_score': ]8;id=748206;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=299607;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002153877727687359, 'data_time': 0.001545444130897522, 'model_time':   +  1.9161754422821105, 'learning_rate': 9.850770015360999e-06, 'epoch': 20.11})   +03/14 [11:59:39] INFO  | >> Step 7050, Loss: {'action_dit_loss': 0.6345007419586182, 'data_time': ]8;id=936406;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=566390;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002986009232699871, 'model_time': 1.9119118889793754, 'learning_rate':   +  9.843257066871567e-06, 'epoch': 20.26})   +03/14 [12:01:17] INFO  | >> Step 7100, Loss: {'action_dit_loss': 1.030496597290039, 'mse_score': ]8;id=401641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=727659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001413673721253872, 'data_time': 0.00013939989730715752, 'model_time':   +  1.9155779802240431, 'learning_rate': 9.835562784458052e-06, 'epoch': 20.4})   +03/14 [12:02:53] INFO  | >> Step 7150, Loss: {'action_dit_loss': 0.914661169052124, 'data_time': ]8;id=435020;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=427398;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015690629370510578, 'model_time': 1.9116757279261947, 'learning_rate':   +  9.827687471877547e-06, 'epoch': 20.55})   +03/14 [12:04:30] INFO  | >> Step 7200, Loss: {'action_dit_loss': 0.280489981174469, 'mse_score': ]8;id=65290;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=216881;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0005361479707062244, 'data_time': 0.00015178974717855453, 'model_time':   +  1.9155177236534655, 'learning_rate': 9.819631440033909e-06, 'epoch': 20.69})   +03/14 [12:06:07] INFO  | >> Step 7250, Loss: {'action_dit_loss': 0.8114403486251831, 'data_time': ]8;id=807189;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=612451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014751339331269264, 'model_time': 1.9113628729246557, 'learning_rate':   +  9.811395006965481e-06, 'epoch': 20.83})   +03/14 [12:07:46] INFO  | >> Step 7300, Loss: {'action_dit_loss': 0.28623485565185547, 'mse_score': ]8;id=923435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=802784;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002314573526382446, 'data_time': 0.0038986438885331154, 'model_time':   +  1.9118292476050556, 'learning_rate': 9.802978497832536e-06, 'epoch': 20.98})   +03/14 [12:09:22] INFO  | >> Step 7350, Loss: {'action_dit_loss': 0.6579223275184631, 'data_time': ]8;id=988536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=368845;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001544598489999771, 'model_time': 1.922022553626448, 'learning_rate':   +  9.794382244904445e-06, 'epoch': 21.12})   +03/14 [12:11:00] INFO  | >> Step 7400, Loss: {'action_dit_loss': 0.8283745050430298, 'mse_score': ]8;id=934953;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=999744;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016411950811743737, 'data_time': 0.00015285983681678772, 'model_time':   +  1.9135866817086935, 'learning_rate': 9.785606587546555e-06, 'epoch': 21.26})   +03/14 [12:12:36] INFO  | >> Step 7450, Loss: {'action_dit_loss': 0.11090309917926788, 'data_time': ]8;id=770319;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=572661;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002171051222831011, 'model_time': 1.9155098600313067, 'learning_rate':   +  9.77665187220679e-06, 'epoch': 21.41})   +03/14 [12:14:14] INFO  | >> Step 7500, Loss: {'action_dit_loss': 1.2883226871490479, 'mse_score': ]8;id=511945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=230080;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013304333202540874, 'data_time': 0.0034043248742818832, 'model_time':   +  1.912352214101702, 'learning_rate': 9.767518452401981e-06, 'epoch': 21.55})   +03/14 [12:15:50] INFO  | >> Step 7550, Loss: {'action_dit_loss': 1.230776309967041, 'data_time': ]8;id=407746;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=352457;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001499108038842678, 'model_time': 1.913234640378505, 'learning_rate':   +  9.758206688703901e-06, 'epoch': 21.7})   +03/14 [12:17:29] INFO  | >> Step 7600, Loss: {'action_dit_loss': 0.5606057643890381, 'mse_score': ]8;id=759359;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=173061;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0010111342184245587, 'data_time': 0.00014839135110378265, 'model_time':   +  1.9155099457129836, 'learning_rate': 9.748716948725037e-06, 'epoch': 21.84})   +03/14 [12:19:05] INFO  | >> Step 7650, Loss: {'action_dit_loss': 0.5107580423355103, 'data_time': ]8;id=652483;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=560069;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014201835729181767, 'model_time': 1.9149372950196266, 'learning_rate':   +  9.739049607104074e-06, 'epoch': 21.98})   +03/14 [12:20:43] INFO  | >> Step 7700, Loss: {'action_dit_loss': 0.27851802110671997, 'mse_score': ]8;id=591807;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=695205;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0033478625118732452, 'data_time': 0.0024501150473952293, 'model_time':   +  1.9123954991810024, 'learning_rate': 9.729205045491108e-06, 'epoch': 22.13})   +03/14 [12:22:19] INFO  | >> Step 7750, Loss: {'action_dit_loss': 0.12552984058856964, 'data_time': ]8;id=142291;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=908959;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016178004443645477, 'model_time': 1.9138746140524745, 'learning_rate':   +  9.719183652532572e-06, 'epoch': 22.27})   +03/14 [12:23:57] INFO  | >> Step 7800, Loss: {'action_dit_loss': 1.466672420501709, 'mse_score': ]8;id=397519;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=343254;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002335120551288128, 'data_time': 0.002129221335053444, 'model_time':   +  1.9112664829008281, 'learning_rate': 9.708985823855904e-06, 'epoch': 22.41})   +03/14 [12:25:33] INFO  | >> Step 7850, Loss: {'action_dit_loss': 0.06000349670648575, 'data_time': ]8;id=798207;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=922369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002300610300153494, 'model_time': 1.9133610134012997, 'learning_rate':   +  9.698611962053915e-06, 'epoch': 22.56})   +03/14 [12:27:11] INFO  | >> Step 7900, Loss: {'action_dit_loss': 0.5885897278785706, 'mse_score': ]8;id=872335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=442042;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0008307080715894699, 'data_time': 0.001401469111442566, 'model_time':   +  1.9157551992684603, 'learning_rate': 9.688062476668908e-06, 'epoch': 22.7})   +03/14 [12:28:48] INFO  | >> Step 7950, Loss: {'action_dit_loss': 0.8376834392547607, 'data_time': ]8;id=20324;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=785408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016873003914952278, 'model_time': 1.913720189128071, 'learning_rate':   +  9.677337784176503e-06, 'epoch': 22.84})   +03/14 [12:30:26] INFO  | >> Step 8000, Loss: {'action_dit_loss': 0.2908599376678467, 'mse_score': ]8;id=235113;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=681725;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0006796603556722403, 'data_time': 0.00016043009236454964, 'model_time':   +  1.9132489212788641, 'learning_rate': 9.666438307969194e-06, 'epoch': 22.99})   +03/14 [12:32:02] INFO  | >> Step 8050, Loss: {'action_dit_loss': 0.9182661771774292, 'data_time': ]8;id=790870;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=32537;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001468299888074398, 'model_time': 1.9134199973195791, 'learning_rate':   +  9.655364478339643e-06, 'epoch': 23.13})   +03/14 [12:33:40] INFO  | >> Step 8100, Loss: {'action_dit_loss': 0.054362621158361435, 'mse_score': ]8;id=21369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=651517;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0021564869210124018, 'data_time': 0.003453462850302458, 'model_time':   +  1.9095313679426908, 'learning_rate': 9.644116732463676e-06, 'epoch': 23.28})   +03/14 [12:35:16] INFO  | >> Step 8150, Loss: {'action_dit_loss': 0.11094680428504944, 'data_time': ]8;id=701978;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=119946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015111034736037254, 'model_time': 2.1493652248755097, 'learning_rate':   +  9.632695514383048e-06, 'epoch': 23.42})   +03/14 [12:36:54] INFO  | >> Step 8200, Loss: {'action_dit_loss': 0.6561229228973389, 'mse_score': ]8;id=733442;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=268690;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001503994967788458, 'data_time': 0.0016271756030619144, 'model_time':   +  1.9170416248962283, 'learning_rate': 9.621101274987885e-06, 'epoch': 23.56})   +03/14 [12:38:30] INFO  | >> Step 8250, Loss: {'action_dit_loss': 0.07855164259672165, 'data_time': ]8;id=636745;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=784256;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00316883297637105, 'model_time': 1.9110844172537327, 'learning_rate':   +  9.609334471998911e-06, 'epoch': 23.71})   +03/14 [12:40:09] INFO  | >> Step 8300, Loss: {'action_dit_loss': 0.6792484521865845, 'mse_score': ]8;id=171720;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=326147;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0008851473219692707, 'data_time': 0.000151738990098238, 'model_time':   +  1.9143824921920896, 'learning_rate': 9.59739556994936e-06, 'epoch': 23.85})   +03/14 [12:41:45] INFO  | >> Step 8350, Loss: {'action_dit_loss': 0.976256787776947, 'data_time': ]8;id=327110;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=603766;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0024357838556170464, 'model_time': 1.9120194930583239, 'learning_rate':   +  9.58528504016664e-06, 'epoch': 23.99})   +03/14 [12:43:24] INFO  | >> Step 8400, Loss: {'action_dit_loss': 0.09620681405067444, 'mse_score': ]8;id=987203;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=749747;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00024280664511024951, 'data_time': 0.0023835040628910065, 'model_time':   +  1.9154987409710884, 'learning_rate': 9.57300336075373e-06, 'epoch': 24.14})   +03/14 [12:45:00] INFO  | >> Step 8450, Loss: {'action_dit_loss': 0.5495122075080872, 'data_time': ]8;id=870917;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=657711;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017105881124734879, 'model_time': 1.9165242658928037, 'learning_rate':   +  9.560551016570306e-06, 'epoch': 24.28})   +03/14 [12:46:38] INFO  | >> Step 8500, Loss: {'action_dit_loss': 0.03156721964478493, 'mse_score': ]8;id=316232;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=891597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002299894019961357, 'data_time': 0.001498471014201641, 'model_time':   +  1.9239534982480109, 'learning_rate': 9.547928499213593e-06, 'epoch': 24.43})   +03/14 [12:48:14] INFO  | >> Step 8550, Loss: {'action_dit_loss': 0.1373155415058136, 'data_time': ]8;id=834904;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=593423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0025124680250883102, 'model_time': 1.9155406639911234, 'learning_rate':   +  9.535136306998963e-06, 'epoch': 24.57})   +03/14 [12:49:52] INFO  | >> Step 8600, Loss: {'action_dit_loss': 0.4753550887107849, 'mse_score': ]8;id=449186;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=693655;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0019136851653456688, 'data_time': 0.0001491880975663662, 'model_time':   +  1.912243704777211, 'learning_rate': 9.522174944940263e-06, 'epoch': 24.71})   +03/14 [12:51:29] INFO  | >> Step 8650, Loss: {'action_dit_loss': 0.015374904498457909, 'data_time': ]8;id=357806;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=13266;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0034785750322043896, 'model_time': 1.9107247958891094, 'learning_rate':   +  9.509044924729872e-06, 'epoch': 24.86})   +03/14 [12:53:07] INFO  | >> Step 8700, Loss: {'action_dit_loss': 0.5228888392448425, 'mse_score': ]8;id=110665;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=454582;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0010532948188483715, 'data_time': 0.0016026408411562443, 'model_time':   +  1.9138495968654752, 'learning_rate': 9.495746764718504e-06, 'epoch': 25.0})   +03/14 [12:54:43] INFO  | >> Step 8750, Loss: {'action_dit_loss': 0.4838925302028656, 'data_time': ]8;id=482071;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=741666;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015275785699486732, 'model_time': 1.9178425720892847, 'learning_rate':   +  9.482280989894748e-06, 'epoch': 25.14})   +03/14 [12:56:21] INFO  | >> Step 8800, Loss: {'action_dit_loss': 0.17178431153297424, 'mse_score': ]8;id=547091;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=682054;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0004176124930381775, 'data_time': 0.00015821820124983788, 'model_time':   +  1.9118842212483287, 'learning_rate': 9.468648131864338e-06, 'epoch': 25.29})   +03/14 [12:57:57] INFO  | >> Step 8850, Loss: {'action_dit_loss': 0.263795405626297, 'data_time': ]8;id=564315;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=812270;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0024731382727622986, 'model_time': 1.9164339299313724, 'learning_rate':   +  9.454848728829163e-06, 'epoch': 25.43})   +03/14 [12:59:35] INFO  | >> Step 8900, Loss: {'action_dit_loss': 0.23288196325302124, 'mse_score': ]8;id=766536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=621254;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0012831322848796845, 'data_time': 0.00015762867406010628, 'model_time':   +  1.9127034079283476, 'learning_rate': 9.440883325566029e-06, 'epoch': 25.57})   +03/14 [13:01:11] INFO  | >> Step 8950, Loss: {'action_dit_loss': 0.23047970235347748, 'data_time': ]8;id=871084;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=980022;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014872802421450615, 'model_time': 1.9132986008189619, 'learning_rate':   +  9.426752473405142e-06, 'epoch': 25.72})   +03/14 [13:02:50] INFO  | >> Step 9000, Loss: {'action_dit_loss': 0.7681639790534973, 'mse_score': ]8;id=255709;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=786931;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0019632285460829736, 'data_time': 0.00016892887651920319, 'model_time':   +  1.9117169920355082, 'learning_rate': 9.412456730208352e-06, 'epoch': 25.86})   +03/14 [13:04:26] INFO  | >> Step 9050, Loss: {'action_dit_loss': 0.021543994545936584, 'data_time': ]8;id=397399;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=352737;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002735211979597807, 'model_time': 1.9137028027325869, 'learning_rate':   +  9.397996660347122e-06, 'epoch': 26.01})   +03/14 [13:06:04] INFO  | >> Step 9100, Loss: {'action_dit_loss': 0.3103565573692322, 'mse_score': ]8;id=190672;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=511233;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00047754161059856417, 'data_time': 0.00306503102183342, 'model_time':   +  1.9108782391995192, 'learning_rate': 9.383372834680248e-06, 'epoch': 26.15})   +03/14 [13:07:40] INFO  | >> Step 9150, Loss: {'action_dit_loss': 0.8392290472984314, 'data_time': ]8;id=356871;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=293243;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001692189835011959, 'model_time': 1.9153879899531603, 'learning_rate':   +  9.368585830531329e-06, 'epoch': 26.29})   +03/14 [13:09:18] INFO  | >> Step 9200, Loss: {'action_dit_loss': 0.09958053380250931, 'mse_score': ]8;id=289688;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=582789;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00011193673126399517, 'data_time': 0.00017280876636505127, 'model_time':   +  1.9115276499651372, 'learning_rate': 9.353636231665967e-06, 'epoch': 26.44})   +03/14 [13:10:54] INFO  | >> Step 9250, Loss: {'action_dit_loss': 0.22762730717658997, 'data_time': ]8;id=89771;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=253080;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0028961137868463993, 'model_time': 2.1556150186806917, 'learning_rate':   +  9.338524628268734e-06, 'epoch': 26.58})   +03/14 [13:12:32] INFO  | >> Step 9300, Loss: {'action_dit_loss': 0.24842622876167297, 'mse_score': ]8;id=794993;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=251997;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0018070904538035394, 'data_time': 0.0001368597149848938, 'model_time':   +  1.9140955619513988, 'learning_rate': 9.323251616919849e-06, 'epoch': 26.72})   +03/14 [13:14:09] INFO  | >> Step 9350, Loss: {'action_dit_loss': 0.0529257208108902, 'data_time': ]8;id=514663;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=469945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014721928164362907, 'model_time': 1.9120420650579035, 'learning_rate':   +  9.307817800571653e-06, 'epoch': 26.87})   +03/14 [13:15:47] INFO  | >> Step 9400, Loss: {'action_dit_loss': 0.33850017189979553, 'mse_score': ]8;id=232360;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=424045;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015339761972427367, 'data_time': 0.00015472900122404099, 'model_time':   +  1.9182955967262387, 'learning_rate': 9.292223788524789e-06, 'epoch': 27.01})   +03/14 [13:17:23] INFO  | >> Step 9450, Loss: {'action_dit_loss': 0.10604885220527649, 'data_time': ]8;id=609805;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=386945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.004255018197000027, 'model_time': 1.9126283740624785, 'learning_rate':   +  9.276470196404146e-06, 'epoch': 27.16})   +03/14 [13:19:01] INFO  | >> Step 9500, Loss: {'action_dit_loss': 0.6471648216247559, 'mse_score': ]8;id=446173;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=782169;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0008071143180131912, 'data_time': 0.0001519499346613884, 'model_time':   +  1.9149621282704175, 'learning_rate': 9.260557646134572e-06, 'epoch': 27.3})   +03/14 [13:20:38] INFO  | >> Step 9550, Loss: {'action_dit_loss': 0.604366660118103, 'data_time': ]8;id=475786;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=284076;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001506516244262457, 'model_time': 1.912272164132446, 'learning_rate':   +  9.244486765916304e-06, 'epoch': 27.44})   +03/14 [13:22:16] INFO  | >> Step 9600, Loss: {'action_dit_loss': 0.13430041074752808, 'mse_score': ]8;id=756321;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=201939;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0006101390346884728, 'data_time': 0.00015169894322752953, 'model_time':   +  1.9141621622256935, 'learning_rate': 9.228258190200174e-06, 'epoch': 27.59})   +03/14 [13:23:53] INFO  | >> Step 9650, Loss: {'action_dit_loss': 0.19862912595272064, 'data_time': 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]8;id=550121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=625780;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001586591824889183, 'model_time': 1.919170037843287, 'learning_rate':   +  9.17863272780417e-06, 'epoch': 28.02})   +03/14 [13:28:45] INFO  | >> Step 9800, Loss: {'action_dit_loss': 0.5055831074714661, 'mse_score': ]8;id=310636;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=238533;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0007178677711635828, 'data_time': 0.002233504317700863, 'model_time':   +  1.9147908757440746, 'learning_rate': 9.161779838735031e-06, 'epoch': 28.16})   +03/14 [13:30:21] INFO  | >> Step 9850, Loss: {'action_dit_loss': 0.01650310307741165, 'data_time': ]8;id=742411;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=560081;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002478823997080326, 'model_time': 1.9134012018330395, 'learning_rate':   +  9.144772519295899e-06, 'epoch': 28.3})   +03/14 [13:31:59] INFO  | >> Step 9900, Loss: {'action_dit_loss': 0.19110390543937683, 'mse_score': ]8;id=580238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=306327;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00023385314270853996, 'data_time': 0.00015931855887174606, 'model_time':   +  1.9179206127300858, 'learning_rate': 9.127611440906625e-06, 'epoch': 28.45})   +03/14 [13:33:35] INFO  | >> Step 9950, Loss: {'action_dit_loss': 0.27344024181365967, 'data_time': ]8;id=910647;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=789359;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016237888485193253, 'model_time': 1.9135796432383358, 'learning_rate':   +  9.110297281057197e-06, 'epoch': 28.59})   +03/14 [13:35:14] INFO  | >> Step 10000, Loss: {'action_dit_loss': 0.04129205644130707, 'mse_score': ]8;id=601949;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=298151;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017017482314258815, 'data_time': 0.00015967898070812225, 'model_time':   +  1.9132230109535158, 'learning_rate': 9.092830723281e-06, 'epoch': 28.74})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314/checkpoints/steps_10000 +03/14 [13:35:23] INFO  | >> 📊 Saving accessed configuration... ]8;id=53872;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=264742;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#240\240]8;;\ +  INFO  | >> ✅ Configuration files saved ]8;id=68517;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=420172;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\ +03/14 [13:36:59] INFO  | >> Step 10050, Loss: {'action_dit_loss': 0.16894857585430145, 'data_time': ]8;id=719796;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=56213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001688092015683651, 'model_time': 1.9264065348543227, 'learning_rate':   +  9.075212457127829e-06, 'epoch': 28.88})   +03/14 [13:38:37] INFO  | >> Step 10100, Loss: {'action_dit_loss': 0.046451665461063385, 'mse_score': ]8;id=995230;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=318594;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0018150394782423974, 'data_time': 0.0023756460286676884, 'model_time':   +  1.9237785749137402, 'learning_rate': 9.057443178136665e-06, 'epoch': 29.02})   +03/14 [13:40:13] INFO  | >> Step 10150, Loss: {'action_dit_loss': 0.3037641644477844, 'data_time': ]8;id=801577;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=436390;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015623867511749268, 'model_time': 1.9158847909420729, 'learning_rate':   +  9.039523587808214e-06, 'epoch': 29.17})   +03/14 [13:41:51] INFO  | >> Step 10200, Loss: {'action_dit_loss': 0.5669374465942383, 'mse_score': ]8;id=236650;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=813373;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0010350113734602928, 'data_time': 0.00016009900718927383, 'model_time':   +  1.9143219999969006, 'learning_rate': 9.021454393577219e-06, 'epoch': 29.31})   +03/14 [13:43:27] INFO  | >> Step 10250, Loss: {'action_dit_loss': 0.0504201203584671, 'data_time': ]8;id=464226;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=311797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017898902297019958, 'model_time': 1.9173387312330306, 'learning_rate':   +  9.00323630878453e-06, 'epoch': 29.45})   +03/14 [13:45:05] INFO  | >> Step 10300, Loss: {'action_dit_loss': 0.38862401247024536, 'mse_score': ]8;id=596251;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=651194;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0008355309255421162, 'data_time': 0.004107115790247917, 'model_time':   +  1.9162183529697359, 'learning_rate': 8.98487005264894e-06, 'epoch': 29.6})   +03/14 [13:46:43] INFO  | >> Step 10350, Loss: {'action_dit_loss': 0.7195754051208496, 'data_time': ]8;id=993620;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=799787;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.005292820278555155, 'model_time': 1.9111779523082078, 'learning_rate':   +  8.966356350238793e-06, 'epoch': 29.74})   +03/14 [13:48:21] INFO  | >> Step 10400, Loss: {'action_dit_loss': 0.0715467557311058, 'mse_score': ]8;id=692509;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=85131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001737808808684349, 'data_time': 0.0001543997786939144, 'model_time':   +  1.9132966040633619, 'learning_rate': 8.947695932443362e-06, 'epoch': 29.89})   +03/14 [13:49:57] INFO  | >> Step 10450, Loss: {'action_dit_loss': 0.228093683719635, 'data_time': ]8;id=78711;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=164136;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017671892419457436, 'model_time': 1.9115166389383376, 'learning_rate':   +  8.928889535943987e-06, 'epoch': 30.03})   +03/14 [13:51:35] INFO  | >> Step 10500, Loss: {'action_dit_loss': 0.006037624552845955, 'mse_score': ]8;id=622656;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=492738;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016674408689141273, 'data_time': 0.0023911762982606888, 'model_time':   +  1.911318255122751, 'learning_rate': 8.909937903185e-06, 'epoch': 30.17})   +03/14 [13:53:11] INFO  | >> Step 10550, Loss: {'action_dit_loss': 0.025753822177648544, 'data_time': ]8;id=741296;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=296451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015443004667758942, 'model_time': 1.912567004095763, 'learning_rate':   +  8.890841782344413e-06, 'epoch': 30.32})   +03/14 [13:54:49] INFO  | >> Step 10600, Loss: {'action_dit_loss': 0.6907672882080078, 'mse_score': ]8;id=720775;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=244762;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014127075672149658, 'data_time': 0.002156707923859358, 'model_time':   +  1.9099346660077572, 'learning_rate': 8.871601927304379e-06, 'epoch': 30.46})   +03/14 [13:56:25] INFO  | >> Step 10650, Loss: {'action_dit_loss': 0.020595399662852287, 'data_time': ]8;id=655420;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=618439;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013721780851483345, 'model_time': 1.9153402368538082, 'learning_rate':   +  8.85221909762143e-06, 'epoch': 30.6})   +03/14 [13:58:04] INFO  | >> Step 10700, Loss: {'action_dit_loss': 0.3071753978729248, 'mse_score': ]8;id=445790;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=120351;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00047869193367660045, 'data_time': 0.0001650601625442505, 'model_time':   +  1.9152203490957618, 'learning_rate': 8.832694058496493e-06, 'epoch': 30.75})   +03/14 [13:59:40] INFO  | >> Step 10750, Loss: {'action_dit_loss': 0.24037384986877441, 'data_time': ]8;id=952538;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=278535;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022896938025951385, 'model_time': 1.9117843341082335, 'learning_rate':   +  8.813027580744685e-06, 'epoch': 30.89})   +03/14 [14:01:18] INFO  | >> Step 10800, Loss: {'action_dit_loss': 0.4794604778289795, 'mse_score': ]8;id=173982;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=831131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0005422667600214481, 'data_time': 0.0023061130195856094, 'model_time':   +  1.9140474013984203, 'learning_rate': 8.793220440764865e-06, 'epoch': 31.03})   +03/14 [14:02:54] INFO  | >> Step 10850, Loss: {'action_dit_loss': 0.09297177940607071, 'data_time': ]8;id=596856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=965940;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015123886987566948, 'model_time': 1.9144993149675429, 'learning_rate':   +  8.773273420509013e-06, 'epoch': 31.18})   +03/14 [14:04:32] INFO  | >> Step 10900, Loss: {'action_dit_loss': 0.01149793341755867, 'mse_score': ]8;id=722131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=318862;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014369990676641464, 'data_time': 0.0015349844470620155, 'model_time':   +  1.9124940349720418, 'learning_rate': 8.753187307451327e-06, 'epoch': 31.32})   +03/14 [14:06:09] INFO  | >> Step 10950, Loss: {'action_dit_loss': 0.04044989496469498, 'data_time': ]8;id=524783;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=566211;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015363539569079876, 'model_time': 1.9142475500702858, 'learning_rate':   +  8.732962894557163e-06, 'epoch': 31.47})   +03/14 [14:07:47] INFO  | >> Step 11000, Loss: {'action_dit_loss': 0.4556409418582916, 'mse_score': ]8;id=41797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=932627;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0011299013160169125, 'data_time': 0.0016622738912701607, 'model_time':   +  1.9165974999777973, 'learning_rate': 8.712600980251706e-06, 'epoch': 31.61})   +03/14 [14:09:24] INFO  | >> Step 11050, Loss: {'action_dit_loss': 0.008686074987053871, 'data_time': ]8;id=262529;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=27121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016070432029664516, 'model_time': 1.9155125068500638, 'learning_rate':   +  8.692102368388472e-06, 'epoch': 31.75})   +03/14 [14:11:02] INFO  | >> Step 11100, Loss: {'action_dit_loss': 0.1497454047203064, 'mse_score': ]8;id=902317;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=603139;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0003835814539343119, 'data_time': 0.001672093290835619, 'model_time':   +  1.9139029500074685, 'learning_rate': 8.67146786821756e-06, 'epoch': 31.9})   +03/14 [14:12:38] INFO  | >> Step 11150, Loss: {'action_dit_loss': 0.826067328453064, 'data_time': ]8;id=704938;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=861322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014305240474641323, 'model_time': 1.9136095810681581, 'learning_rate':   +  8.650698294353698e-06, 'epoch': 32.04})   +03/14 [14:14:16] INFO  | >> Step 11200, Loss: {'action_dit_loss': 0.017487037926912308, 'mse_score': ]8;id=793005;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=183700;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016526078106835485, 'data_time': 0.0015057036653161049, 'model_time':   +  1.9190043308772147, 'learning_rate': 8.629794466744107e-06, 'epoch': 32.18})   +03/14 [14:15:52] INFO  | >> Step 11250, Loss: {'action_dit_loss': 0.08939129114151001, 'data_time': ]8;id=960571;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=291668;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013272040523588657, 'model_time': 1.9156161430291831, 'learning_rate':   +  8.608757210636101e-06, 'epoch': 32.33})   +03/14 [14:17:30] INFO  | >> Step 11300, Loss: {'action_dit_loss': 0.03517962247133255, 'mse_score': ]8;id=853797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=515611;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002101203612983227, 'data_time': 0.0014007235877215862, 'model_time':   +  1.9129470949992537, 'learning_rate': 8.587587356544535e-06, 'epoch': 32.47})   +03/14 [14:19:06] INFO  | >> Step 11350, Loss: {'action_dit_loss': 0.027527974918484688, 'data_time': ]8;id=349499;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=336653;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013278741389513016, 'model_time': 1.9164741151034832, 'learning_rate':   +  8.566285740218996e-06, 'epoch': 32.61})   +03/14 [14:20:45] INFO  | >> Step 11400, Loss: {'action_dit_loss': 0.6124575734138489, 'mse_score': ]8;id=345824;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=431641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0011154437437653542, 'data_time': 0.00015674997121095657, 'model_time':   +  1.914365884847939, 'learning_rate': 8.544853202610825e-06, 'epoch': 32.76})   +03/14 [14:22:21] INFO  | >> Step 11450, Loss: {'action_dit_loss': 0.013927500694990158, 'data_time': ]8;id=991107;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=419904;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0032691550441086292, 'model_time': 1.9108358742669225, 'learning_rate':   +  8.523290589839907e-06, 'epoch': 32.9})   +03/14 [14:23:59] INFO  | >> Step 11500, Loss: {'action_dit_loss': 0.05194813013076782, 'mse_score': ]8;id=476919;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=92337;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001423690700903535, 'data_time': 0.00015322910621762276, 'model_time':   +  1.9141767919063568, 'learning_rate': 8.501598753161273e-06, 'epoch': 33.05})   +03/14 [14:25:35] INFO  | >> Step 11550, Loss: {'action_dit_loss': 0.5996501445770264, 'data_time': ]8;id=810075;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=423808;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014749527908861637, 'model_time': 1.9127717288210988, 'learning_rate':   +  8.479778548931492e-06, 'epoch': 33.19})   +03/14 [14:27:13] INFO  | >> Step 11600, Loss: {'action_dit_loss': 0.024208249524235725, 'mse_score': ]8;id=689606;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00011069274041801691, 'data_time': 0.00015821028500795364, 'model_time':   +  1.9163691001012921, 'learning_rate': 8.457830838574867e-06, 'epoch': 33.33})   +03/14 [14:28:49] INFO  | >> Step 11650, Loss: {'action_dit_loss': 0.16636773943901062, 'data_time': ]8;id=196694;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=543623;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0003343201242387295, 'model_time': 1.9162569786421955, 'learning_rate':   +  8.43575648854942e-06, 'epoch': 33.48})   +03/14 [14:30:27] INFO  | >> Step 11700, Loss: {'action_dit_loss': 0.014114666730165482, 'mse_score': ]8;id=655788;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=463513;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016552519053220748, 'data_time': 0.004163348115980625, 'model_time':   +  1.908343407791108, 'learning_rate': 8.413556370312696e-06, 'epoch': 33.62})   +03/14 [14:32:04] INFO  | >> Step 11750, Loss: {'action_dit_loss': 0.015263084322214127, 'data_time': ]8;id=575898;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=137377;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016042962670326233, 'model_time': 1.9138648617081344, 'learning_rate':   +  8.391231360287348e-06, 'epoch': 33.76})   +03/14 [14:33:42] INFO  | >> Step 11800, Loss: {'action_dit_loss': 0.425676167011261, 'mse_score': ]8;id=732168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=508257;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001040539238601923, 'data_time': 0.002669235225766897, 'model_time':   +  1.9076481368392706, 'learning_rate': 8.368782339826543e-06, 'epoch': 33.91})   +03/14 [14:35:18] INFO  | >> Step 11850, Loss: {'action_dit_loss': 0.026150789111852646, 'data_time': ]8;id=838141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=250921;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016150358133018017, 'model_time': 1.9142514001578093, 'learning_rate':   +  8.346210195179175e-06, 'epoch': 34.05})   +03/14 [14:36:56] INFO  | >> Step 11900, Loss: {'action_dit_loss': 0.20328328013420105, 'mse_score': ]8;id=14338;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=579077;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0003006867598742247, 'data_time': 0.00016124965623021126, 'model_time':   +  1.9131506439298391, 'learning_rate': 8.323515817454862e-06, 'epoch': 34.2})   +03/14 [14:38:32] INFO  | >> Step 11950, Loss: {'action_dit_loss': 0.3829841613769531, 'data_time': ]8;id=957276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=118972;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0024311132729053497, 'model_time': 2.159348709974438, 'learning_rate':   +  8.300700102588777e-06, 'epoch': 34.34})   +03/14 [14:40:10] INFO  | >> Step 12000, Loss: {'action_dit_loss': 0.048669930547475815, 'mse_score': ]8;id=872565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=161450;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0002791726961731911, 'data_time': 0.0013899761252105236, 'model_time':   +  1.913187281228602, 'learning_rate': 8.277763951306277e-06, 'epoch': 34.48})   +03/14 [14:41:47] INFO  | >> Step 12050, Loss: {'action_dit_loss': 0.14605847001075745, 'data_time': ]8;id=533590;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=739677;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014868006110191345, 'model_time': 1.914555807132274, 'learning_rate':   +  8.254708269087342e-06, 'epoch': 34.63})   +03/14 [14:43:26] INFO  | >> Step 12100, Loss: {'action_dit_loss': 0.012449832633137703, 'mse_score': ]8;id=495158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=255570;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001484308484941721, 'data_time': 0.002170412801206112, 'model_time':   +  1.9124351884238422, 'learning_rate': 8.231533966130827e-06, 'epoch': 34.77})   +03/14 [14:45:02] INFO  | >> Step 12150, Loss: {'action_dit_loss': 0.024097196757793427, 'data_time': ]8;id=199869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=966648;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016685016453266144, 'model_time': 1.9192119901999831, 'learning_rate':   +  8.208241957318535e-06, 'epoch': 34.91})   +03/14 [14:46:40] INFO  | >> Step 12200, Loss: {'action_dit_loss': 0.2078874707221985, 'mse_score': ]8;id=143139;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=905997;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0004966734908521175, 'data_time': 0.004061615094542503, 'model_time':   +  1.9102447791956365, 'learning_rate': 8.18483316217909e-06, 'epoch': 35.06})   +03/14 [14:48:16] INFO  | >> Step 12250, Loss: {'action_dit_loss': 0.00477250199764967, 'data_time': ]8;id=895916;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=435098;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015079928562045097, 'model_time': 1.915837268345058, 'learning_rate':   +  8.16130850485164e-06, 'epoch': 35.2})   +03/14 [14:49:54] INFO  | >> Step 12300, Loss: {'action_dit_loss': 0.08893713355064392, 'mse_score': ]8;id=280150;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=860408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000206910097040236, 'data_time': 0.00014316989108920097, 'model_time':   +  1.929925017990172, 'learning_rate': 8.137668914049377e-06, 'epoch': 35.34})   +03/14 [14:51:30] INFO  | >> Step 12350, Loss: {'action_dit_loss': 0.12482278048992157, 'data_time': ]8;id=878157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=615448;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002138592302799225, 'model_time': 1.9122056309133768, 'learning_rate':   +  8.113915323022868e-06, 'epoch': 35.49})   +03/14 [14:53:08] INFO  | >> Step 12400, Loss: {'action_dit_loss': 0.028970830142498016, 'mse_score': ]8;id=155813;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=468238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0006257719825953246, 'data_time': 0.002089621964842081, 'model_time':   +  1.9126148191280663, 'learning_rate': 8.090048669523216e-06, 'epoch': 35.63})   +03/14 [14:54:45] INFO  | >> Step 12450, Loss: {'action_dit_loss': 0.039877377450466156, 'data_time': ]8;id=578727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=799929;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016135862097144127, 'model_time': 1.9161482998169959, 'learning_rate':   +  8.066069895765034e-06, 'epoch': 35.78})   +03/14 [14:56:23] INFO  | >> Step 12500, Loss: {'action_dit_loss': 0.033175379037857056, 'mse_score': ]8;id=337408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911843;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0009062385186553001, 'data_time': 0.0033645867370069027, 'model_time':   +  1.911730110179633, 'learning_rate': 8.041979948389248e-06, 'epoch': 35.92})   +03/14 [14:57:59] INFO  | >> Step 12550, Loss: {'action_dit_loss': 0.024185333400964737, 'data_time': ]8;id=401574;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=244907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016603898257017136, 'model_time': 1.9153750967234373, 'learning_rate':   +  8.017779778425737e-06, 'epoch': 36.06})   +03/14 [14:59:38] INFO  | >> Step 12600, Loss: {'action_dit_loss': 0.3956981301307678, 'mse_score': ]8;id=333632;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=780879;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0010856722481548786, 'data_time': 0.001485033892095089, 'model_time':   +  1.9168473146855831, 'learning_rate': 7.993470341255771e-06, 'epoch': 36.21})   +03/14 [15:01:14] INFO  | >> Step 12650, Loss: {'action_dit_loss': 0.005996963940560818, 'data_time': ]8;id=399749;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=404832;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003197076730430126, 'model_time': 1.9115486261434853, 'learning_rate':   +  7.969052596574309e-06, 'epoch': 36.35})   +03/14 [15:02:52] INFO  | >> Step 12700, Loss: {'action_dit_loss': 0.19612200558185577, 'mse_score': ]8;id=159493;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=519389;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00018628131365403534, 'data_time': 0.00015930179506540298, 'model_time':   +  1.9157449882477522, 'learning_rate': 7.944527508352094e-06, 'epoch': 36.49})   +03/14 [15:04:29] INFO  | >> Step 12750, Loss: {'action_dit_loss': 0.16225162148475647, 'data_time': ]8;id=348121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.550418077968061, 'model_time': 2.0754550588317215, 'learning_rate':   +  7.919896044797622e-06, 'epoch': 36.64})   +03/14 [15:06:07] INFO  | >> Step 12800, Loss: {'action_dit_loss': 0.01838555932044983, 'mse_score': ]8;id=104555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=551499;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010941763175651432, 'data_time': 0.0001496751792728901, 'model_time':   +  1.9140826971270144, 'learning_rate': 7.895159178318894e-06, 'epoch': 36.78})   +03/14 [15:07:43] INFO  | >> Step 12850, Loss: {'action_dit_loss': 0.03433001786470413, 'data_time': ]8;id=151157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=429893;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0032804557122290134, 'model_time': 1.913297032006085, 'learning_rate':   +  7.870317885485044e-06, 'epoch': 36.93})   +03/14 [15:09:21] INFO  | >> Step 12900, Loss: {'action_dit_loss': 0.007509962655603886, 'mse_score': ]8;id=492296;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=819488;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001101171225309372, 'data_time': 0.001784259919077158, 'model_time':   +  1.9144008359871805, 'learning_rate': 7.84537314698778e-06, 'epoch': 37.07})   +03/14 [15:10:57] INFO  | >> Step 12950, Loss: {'action_dit_loss': 0.0052234111353755, 'data_time': ]8;id=416791;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=681403;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015292689204216003, 'model_time': 1.9139153421856463, 'learning_rate':   +  7.82032594760266e-06, 'epoch': 37.21})   +03/14 [15:12:35] INFO  | >> Step 13000, Loss: {'action_dit_loss': 0.29370254278182983, 'mse_score': ]8;id=707115;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=901085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0007195910904556513, 'data_time': 0.00016294699162244797, 'model_time':   +  1.9131995411589742, 'learning_rate': 7.795177276150234e-06, 'epoch': 37.36})   +03/14 [15:14:11] INFO  | >> Step 13050, Loss: {'action_dit_loss': 0.004332647193223238, 'data_time': ]8;id=753629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=930546;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014455709606409073, 'model_time': 1.926684393081814, 'learning_rate':   +  7.769928125456987e-06, 'epoch': 37.5})   +03/14 [15:15:50] INFO  | >> Step 13100, Loss: {'action_dit_loss': 0.09304697066545486, 'mse_score': ]8;id=37642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=647453;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0002445741556584835, 'data_time': 0.00016336701810359955, 'model_time':   +  1.9143120450899005, 'learning_rate': 7.744579492316155e-06, 'epoch': 37.64})   +03/14 [15:17:26] INFO  | >> Step 13150, Loss: {'action_dit_loss': 0.12740372121334076, 'data_time': ]8;id=965664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=301338;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015788711607456207, 'model_time': 1.9137671520002186, 'learning_rate':   +  7.719132377448369e-06, 'epoch': 37.79})   +03/14 [15:19:04] INFO  | >> Step 13200, Loss: {'action_dit_loss': 0.039352212101221085, 'mse_score': ]8;id=103225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=797305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0010748665779829025, 'data_time': 0.00015343772247433662, 'model_time':   +  1.9136414313688874, 'learning_rate': 7.693587785462156e-06, 'epoch': 37.93})   +03/14 [15:20:40] INFO  | >> Step 13250, Loss: {'action_dit_loss': 0.4093955159187317, 'data_time': ]8;id=465230;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=174446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0033463616855442524, 'model_time': 1.9094601906836033, 'learning_rate':   +  7.667946724814264e-06, 'epoch': 38.07})   +03/14 [15:22:18] INFO  | >> Step 13300, Loss: {'action_dit_loss': 0.08578317612409592, 'mse_score': ]8;id=48225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=340131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001001949794590473, 'data_time': 0.0014210310764610767, 'model_time':   +  1.9197557838633657, 'learning_rate': 7.642210207769864e-06, 'epoch': 38.22})   +03/14 [15:23:54] INFO  | >> Step 13350, Loss: {'action_dit_loss': 0.010524958372116089, 'data_time': ]8;id=393049;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=451607;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015112897381186485, 'model_time': 1.9183690836653113, 'learning_rate':   +  7.616379250362582e-06, 'epoch': 38.36})   +03/14 [15:25:32] INFO  | >> Step 13400, Loss: {'action_dit_loss': 0.21139520406723022, 'mse_score': ]8;id=593418;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=714919;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0005494627170264721, 'data_time': 0.00015074806287884712, 'model_time':   +  1.9145654672756791, 'learning_rate': 7.590454872354386e-06, 'epoch': 38.51})   +03/14 [15:27:10] INFO  | >> Step 13450, Loss: {'action_dit_loss': 0.002865038812160492, 'data_time': ]8;id=82804;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=639098;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003971765283495188, 'model_time': 1.9115762813016772, 'learning_rate':   +  7.564438097195329e-06, 'epoch': 38.65})   +03/14 [15:28:48] INFO  | >> Step 13500, Loss: {'action_dit_loss': 0.09929552674293518, 'mse_score': ]8;id=252528;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=521841;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014643737813457847, 'data_time': 0.0001765778288245201, 'model_time':   +  1.9122762861661613, 'learning_rate': 7.538329951983148e-06, 'epoch': 38.79})   +03/14 [15:30:24] INFO  | >> Step 13550, Loss: {'action_dit_loss': 0.17086118459701538, 'data_time': ]8;id=483550;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=668891;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001578289084136486, 'model_time': 1.91377142816782, 'learning_rate':   +  7.512131467422712e-06, 'epoch': 38.94})   +03/14 [15:32:02] INFO  | >> Step 13600, Loss: {'action_dit_loss': 0.00792381539940834, 'mse_score': ]8;id=9853;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=942573;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010913818841800094, 'data_time': 0.0001603076234459877, 'model_time':   +  1.9145430480130017, 'learning_rate': 7.485843677785332e-06, 'epoch': 39.08})   +03/14 [15:33:38] INFO  | >> Step 13650, Loss: {'action_dit_loss': 0.16599512100219727, 'data_time': ]8;id=710526;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=573149;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002406574785709381, 'model_time': 1.9127877783030272, 'learning_rate':   +  7.459467620867929e-06, 'epoch': 39.22})   +03/14 [15:35:16] INFO  | >> Step 13700, Loss: {'action_dit_loss': 0.00921593513339758, 'mse_score': ]8;id=362351;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=616113;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0018482888117432594, 'data_time': 0.003380045760422945, 'model_time':   +  1.9105355101637542, 'learning_rate': 7.433004337952069e-06, 'epoch': 39.37})   +03/14 [15:36:52] INFO  | >> Step 13750, Loss: {'action_dit_loss': 0.009356621652841568, 'data_time': ]8;id=262246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=479027;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001578531228005886, 'model_time': 1.9157172236591578, 'learning_rate':   +  7.406454873762848e-06, 'epoch': 39.51})   +03/14 [15:38:31] INFO  | >> Step 13800, Loss: {'action_dit_loss': 0.2985232174396515, 'mse_score': ]8;id=894787;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=506680;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0005819829646497964, 'data_time': 0.0017141192220151424, 'model_time':   +  1.9140447806566954, 'learning_rate': 7.3798202764276546e-06, 'epoch': 39.66})   +03/14 [15:40:07] INFO  | >> Step 13850, Loss: {'action_dit_loss': 0.005771231837570667, 'data_time': ]8;id=376395;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=602733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0020885178819298744, 'model_time': 1.9143788809888065, 'learning_rate':   +  7.353101597434784e-06, 'epoch': 39.8})   +03/14 [15:41:45] INFO  | >> Step 13900, Loss: {'action_dit_loss': 0.14372172951698303, 'mse_score': ]8;id=870357;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=690203;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0002888329792767763, 'data_time': 0.0001554512418806553, 'model_time':   +  1.9131118077784777, 'learning_rate': 7.326299891591931e-06, 'epoch': 39.94})   +03/14 [15:43:21] INFO  | >> Step 13950, Loss: {'action_dit_loss': 0.09247436374425888, 'data_time': ]8;id=907088;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=719112;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002217245753854513, 'model_time': 1.9172416110523045, 'learning_rate':   +  7.299416216984556e-06, 'epoch': 40.09})   +03/14 [15:45:00] INFO  | >> Step 14000, Loss: {'action_dit_loss': 0.011227480135858059, 'mse_score': ]8;id=635863;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=781369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00012085939524695278, 'data_time': 0.002212461084127426, 'model_time':   +  1.9115607286803424, 'learning_rate': 7.272451634934096e-06, 'epoch': 40.23})   +03/14 [15:46:36] INFO  | >> Step 14050, Loss: {'action_dit_loss': 0.13469265401363373, 'data_time': ]8;id=300096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=813423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015022093430161476, 'model_time': 1.9148260247893631, 'learning_rate':   +  7.245407209956081e-06, 'epoch': 40.37})   +03/14 [15:48:14] INFO  | >> Step 14100, Loss: {'action_dit_loss': 0.005600555334240198, 'mse_score': ]8;id=369435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=229642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0020876133814454077, 'data_time': 0.002362264320254326, 'model_time':   +  1.912529084365815, 'learning_rate': 7.218284009718102e-06, 'epoch': 40.52})   +03/14 [15:49:51] INFO  | >> Step 14150, Loss: {'action_dit_loss': 0.005222845356911421, 'data_time': ]8;id=710687;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=792280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015344982966780663, 'model_time': 1.9185136840678751, 'learning_rate':   +  7.191083104997659e-06, 'epoch': 40.66})   +03/14 [15:51:29] INFO  | >> Step 14200, Loss: {'action_dit_loss': 0.13184762001037598, 'mse_score': ]8;id=879060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=143423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0006816251669079065, 'data_time': 0.004003207199275494, 'model_time':   +  1.9102624151855707, 'learning_rate': 7.163805569639899e-06, 'epoch': 40.8})   +03/14 [15:53:06] INFO  | >> Step 14250, Loss: {'action_dit_loss': 0.0027876454405486584, 'data_time': ]8;id=677737;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=41337;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016287993639707565, 'model_time': 1.9184790584258735, 'learning_rate':   +  7.136452480515208e-06, 'epoch': 40.95})   +03/14 [15:54:44] INFO  | >> Step 14300, Loss: {'action_dit_loss': 0.025976065546274185, 'mse_score': ]8;id=607727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=382584;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010586773278191686, 'data_time': 0.0001579602248966694, 'model_time':   +  1.9134134640917182, 'learning_rate': 7.109024917476712e-06, 'epoch': 41.09})   +03/14 [15:56:20] INFO  | >> Step 14350, Loss: {'action_dit_loss': 0.24283629655838013, 'data_time': ]8;id=309445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=342589;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0021164738573133945, 'model_time': 1.912383081857115, 'learning_rate':   +  7.0815239633176345e-06, 'epoch': 41.24})   +03/14 [15:57:58] INFO  | >> Step 14400, Loss: {'action_dit_loss': 0.03679531067609787, 'mse_score': ]8;id=138579;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=824718;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010740694124251604, 'data_time': 0.00016237888485193253, 'model_time':   +  1.9174257176928222, 'learning_rate': 7.053950703728557e-06, 'epoch': 41.38})   +03/14 [15:59:33] INFO  | >> Step 14450, Loss: {'action_dit_loss': 0.0845116376876831, 'data_time': ]8;id=526169;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=957860;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001588999293744564, 'model_time': 1.913045815192163, 'learning_rate':   +  7.026306227254553e-06, 'epoch': 41.52})   +03/14 [16:01:13] INFO  | >> Step 14500, Loss: {'action_dit_loss': 0.0025119734928011894, 'mse_score': ]8;id=958449;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=864749;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0009369076229631901, 'data_time': 0.0024579898454248905, 'model_time':   +  1.921384803019464, 'learning_rate': 6.9985916252522225e-06, 'epoch': 41.67})   +03/14 [16:02:49] INFO  | >> Step 14550, Loss: {'action_dit_loss': 0.0253770649433136, 'data_time': ]8;id=782824;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=912677;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001529487781226635, 'model_time': 1.9189932593144476, 'learning_rate':   +  6.9708079918465935e-06, 'epoch': 41.81})   +03/14 [16:04:27] INFO  | >> Step 14600, Loss: {'action_dit_loss': 0.11113596707582474, 'mse_score': ]8;id=78957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=147594;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0003330986946821213, 'data_time': 0.0023485985584557056, 'model_time':   +  1.9115517428144813, 'learning_rate': 6.942956423887941e-06, 'epoch': 41.95})   +03/14 [16:06:03] INFO  | >> Step 14650, Loss: {'action_dit_loss': 0.005660966970026493, 'data_time': ]8;id=759396;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=707166;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023650890216231346, 'model_time': 1.9132320224307477, 'learning_rate':   +  6.915038020908481e-06, 'epoch': 42.1})   +03/14 [16:07:41] INFO  | >> Step 14700, Loss: {'action_dit_loss': 0.03814719244837761, 'mse_score': ]8;id=383542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=94689;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001274107024073601, 'data_time': 0.000151738990098238, 'model_time':   +  1.9136351770721376, 'learning_rate': 6.887053885078956e-06, 'epoch': 42.24})   +03/14 [16:09:17] INFO  | >> Step 14750, Loss: {'action_dit_loss': 0.1567760556936264, 'data_time': ]8;id=562636;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=129592;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001613488420844078, 'model_time': 1.912854211870581, 'learning_rate':   +  6.859005121165135e-06, 'epoch': 42.39})   +03/14 [16:10:56] INFO  | >> Step 14800, Loss: {'action_dit_loss': 0.010694703087210655, 'mse_score': ]8;id=705000;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=274896;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00011365070240572095, 'data_time': 0.0024498021230101585, 'model_time':   +  1.9176414688117802, 'learning_rate': 6.830892836484188e-06, 'epoch': 42.53})   +03/14 [16:12:33] INFO  | >> Step 14850, Loss: {'action_dit_loss': 0.0178133063018322, 'data_time': ]8;id=985967;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=389518;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001462363637983799, 'model_time': 1.9112993478775024, 'learning_rate':   +  6.802718140860976e-06, 'epoch': 42.67})   +03/14 [16:14:11] INFO  | >> Step 14900, Loss: {'action_dit_loss': 0.0027623334899544716, 'mse_score': ]8;id=26240;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=649641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000680580036714673, 'data_time': 0.0022497540339827538, 'model_time':   +  1.9120972068049014, 'learning_rate': 6.774482146584245e-06, 'epoch': 42.82})   +03/14 [16:15:47] INFO  | >> Step 14950, Loss: {'action_dit_loss': 0.0032769665122032166, 'data_time': ]8;id=959715;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=639717;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001583402045071125, 'model_time': 1.9158855597488582, 'learning_rate':   +  6.7461859683626985e-06, 'epoch': 42.96})   +03/14 [16:17:25] INFO  | >> Step 15000, Loss: {'action_dit_loss': 0.06928626447916031, 'mse_score': ]8;id=863874;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=486819;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0006906142458319664, 'data_time': 0.002447629813104868, 'model_time':   +  1.9106854610145092, 'learning_rate': 6.7178307232810015e-06, 'epoch': 43.1})   +03/14 [16:19:01] INFO  | >> Step 15050, Loss: {'action_dit_loss': 0.00175468681845814, 'data_time': ]8;id=428129;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=122343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002600798849016428, 'model_time': 1.9157867529429495, 'learning_rate':   +  6.689417530755678e-06, 'epoch': 43.25})   +03/14 [16:20:39] INFO  | >> Step 15100, Loss: {'action_dit_loss': 0.050327517092227936, 'mse_score': ]8;id=319149;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=516554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017549896147102119, 'data_time': 0.00014805002138018608, 'model_time':   +  1.9128290750086308, 'learning_rate': 6.660947512490916e-06, 'epoch': 43.39})   +03/14 [16:22:15] INFO  | >> Step 15150, Loss: {'action_dit_loss': 0.1405731439590454, 'data_time': ]8;id=563658;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=142254;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0025244448333978653, 'model_time': 1.9131608102470636, 'learning_rate':   +  6.632421792434291e-06, 'epoch': 43.53})   +03/14 [16:23:54] INFO  | >> Step 15200, Loss: {'action_dit_loss': 0.44484710693359375, 'mse_score': ]8;id=995497;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=779238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0007016060408204794, 'data_time': 0.00015239883214235306, 'model_time':   +  1.9160338770598173, 'learning_rate': 6.603841496732387e-06, 'epoch': 43.68})   +03/14 [16:25:30] INFO  | >> Step 15250, Loss: {'action_dit_loss': 0.150507390499115, 'data_time': ]8;id=615870;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=778325;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016403896734118462, 'model_time': 1.9179830122739077, 'learning_rate':   +  6.5752077536863404e-06, 'epoch': 43.82})   +03/14 [16:27:08] INFO  | >> Step 15300, Loss: {'action_dit_loss': 0.01217721402645111, 'mse_score': ]8;id=686735;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=103831;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015979962423443793, 'data_time': 0.002370254136621952, 'model_time':   +  1.9143976531922817, 'learning_rate': 6.546521693707296e-06, 'epoch': 43.97})   +03/14 [16:28:44] INFO  | >> Step 15350, Loss: {'action_dit_loss': 0.004732020199298859, 'data_time': ]8;id=984668;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=997742;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015950994566082954, 'model_time': 1.9148337519727647, 'learning_rate':   +  6.517784449271785e-06, 'epoch': 44.11})   +03/14 [16:30:22] INFO  | >> Step 15400, Loss: {'action_dit_loss': 0.13908851146697998, 'mse_score': ]8;id=227823;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=464920;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001912530977278948, 'data_time': 0.0024355221539735794, 'model_time':   +  1.9137873607687652, 'learning_rate': 6.488997154877012e-06, 'epoch': 44.25})   +03/14 [16:31:58] INFO  | >> Step 15450, Loss: {'action_dit_loss': 0.0014018701622262597, 'data_time': ]8;id=380303;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=104180;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002302022185176611, 'model_time': 1.9117694580927491, 'learning_rate':   +  6.460160946996066e-06, 'epoch': 44.4})   +03/14 [16:33:36] INFO  | >> Step 15500, Loss: {'action_dit_loss': 0.03890503942966461, 'mse_score': ]8;id=676149;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=376096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00041738334111869336, 'data_time': 0.0001321299932897091, 'model_time':   +  1.9111562380567193, 'learning_rate': 6.431276964033062e-06, 'epoch': 44.54})   +03/14 [16:35:13] INFO  | >> Step 15550, Loss: {'action_dit_loss': 0.12213599681854248, 'data_time': ]8;id=128093;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=995109;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003341068048030138, 'model_time': 1.9122709869407117, 'learning_rate':   +  6.402346346278187e-06, 'epoch': 44.68})   +03/14 [16:36:52] INFO  | >> Step 15600, Loss: {'action_dit_loss': 0.0029697162099182606, 'mse_score': ]8;id=694963;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=222409;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001088068587705493, 'data_time': 0.00015940889716148376, 'model_time':   +  1.9122517816722393, 'learning_rate': 6.373370235862693e-06, 'epoch': 44.83})   +03/14 [16:38:28] INFO  | >> Step 15650, Loss: {'action_dit_loss': 0.09415711462497711, 'data_time': ]8;id=53035;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=825013;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023326617665588856, 'model_time': 1.9113043448887765, 'learning_rate':   +  6.344349776713806e-06, 'epoch': 44.97})   +03/14 [16:40:06] INFO  | >> Step 15700, Loss: {'action_dit_loss': 0.0017100500408560038, 'mse_score': ]8;id=592002;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=215173;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0010206576436758042, 'data_time': 0.00016124965623021126, 'model_time':   +  1.916844620835036, 'learning_rate': 6.315286114509561e-06, 'epoch': 45.11})   +03/14 [16:41:41] INFO  | >> Step 15750, Loss: {'action_dit_loss': 0.003058007452636957, 'data_time': ]8;id=217220;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=614867;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014514988288283348, 'model_time': 1.9188450369983912, 'learning_rate':   +  6.286180396633579e-06, 'epoch': 45.26})   +03/14 [16:43:19] INFO  | >> Step 15800, Loss: {'action_dit_loss': 0.11059587448835373, 'mse_score': ]8;id=344519;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=811984;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00019497006433084608, 'data_time': 0.0021549509838223457, 'model_time':   +  1.9132361318916082, 'learning_rate': 6.257033772129762e-06, 'epoch': 45.4})   +03/14 [16:44:56] INFO  | >> Step 15850, Loss: {'action_dit_loss': 0.0027846568264067173, 'data_time': ]8;id=2973;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=290743;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.3707124120555818, 'model_time': 1.9932295437902212, 'learning_rate':   +  6.227847391656937e-06, 'epoch': 45.55})   +03/14 [16:46:35] INFO  | >> Step 15900, Loss: {'action_dit_loss': 0.02452234737575054, 'mse_score': ]8;id=262829;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=837302;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001073174411430955, 'data_time': 0.0017294250428676605, 'model_time':   +  1.9114764481782913, 'learning_rate': 6.1986224074434335e-06, 'epoch': 45.69})   +03/14 [16:48:11] INFO  | >> Step 15950, Loss: {'action_dit_loss': 0.13134177029132843, 'data_time': ]8;id=27032;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=138205;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015400629490613937, 'model_time': 1.9146800669841468, 'learning_rate':   +  6.1693599732415875e-06, 'epoch': 45.83})   +03/14 [16:49:49] INFO  | >> Step 16000, Loss: {'action_dit_loss': 0.008411753922700882, 'mse_score': ]8;id=249489;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=617457;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00013195745414122938, 'data_time': 0.00014975713565945625, 'model_time':   +  1.913419532123953, 'learning_rate': 6.140061244282194e-06, 'epoch': 45.98})   +03/14 [16:51:24] INFO  | >> Step 16050, Loss: {'action_dit_loss': 0.056458331644535065, 'data_time': ]8;id=54944;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=132915;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00257282517850399, 'model_time': 1.9109975597821176, 'learning_rate':   +  6.110727377228903e-06, 'epoch': 46.12})   +03/14 [16:53:02] INFO  | >> Step 16100, Loss: {'action_dit_loss': 0.007164898794144392, 'mse_score': ]8;id=781886;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=66645;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00081138014793396, 'data_time': 0.0016680643893778324, 'model_time':   +  1.914208857808262, 'learning_rate': 6.081359530132563e-06, 'epoch': 46.26})   +03/14 [16:54:38] INFO  | >> Step 16150, Loss: {'action_dit_loss': 0.006028134375810623, 'data_time': ]8;id=538169;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=622503;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014620786532759666, 'model_time': 1.914482485037297, 'learning_rate':   +  6.051958862385486e-06, 'epoch': 46.41})   +03/14 [16:56:19] INFO  | >> Step 16200, Loss: {'action_dit_loss': 0.06401310861110687, 'mse_score': ]8;id=991340;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=644986;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00018440026324242353, 'data_time': 0.0001639476977288723, 'model_time':   +  1.9154808730818331, 'learning_rate': 6.022526534675698e-06, 'epoch': 46.55})   +03/14 [16:57:54] INFO  | >> Step 16250, Loss: {'action_dit_loss': 0.0013648258754983544, 'data_time': ]8;id=909095;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=690909;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.004446208011358976, 'model_time': 1.9144832510501146, 'learning_rate':   +  5.993063708941098e-06, 'epoch': 46.7})   +03/14 [16:59:32] INFO  | >> Step 16300, Loss: {'action_dit_loss': 0.055257540196180344, 'mse_score': ]8;id=32663;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=63780;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000982776191085577, 'data_time': 0.0001563490368425846, 'model_time':   +  1.9143386553041637, 'learning_rate': 5.963571548323597e-06, 'epoch': 46.84})   +03/14 [17:01:08] INFO  | >> Step 16350, Loss: {'action_dit_loss': 0.3724443316459656, 'data_time': ]8;id=719425;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=113206;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015195878222584724, 'model_time': 1.912837315350771, 'learning_rate':   +  5.934051217123198e-06, 'epoch': 46.98})   +03/14 [17:02:46] INFO  | >> Step 16400, Loss: {'action_dit_loss': 0.05196736007928848, 'mse_score': ]8;id=77060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=942949;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00038285169284790754, 'data_time': 0.0022543580271303654, 'model_time':   +  1.9105333471670747, 'learning_rate': 5.904503880752032e-06, 'epoch': 47.13})   +03/14 [17:04:23] INFO  | >> Step 16450, Loss: {'action_dit_loss': 0.04778628796339035, 'data_time': ]8;id=68872;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=132321;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002450258005410433, 'model_time': 1.9155267337337136, 'learning_rate':   +  5.874930705688343e-06, 'epoch': 47.27})   +03/14 [17:06:01] INFO  | >> Step 16500, Loss: {'action_dit_loss': 0.0009124984499067068, 'mse_score': ]8;id=574993;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=746746;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0005937382578849792, 'data_time': 0.00015181861817836761, 'model_time':   +  1.9156976458616555, 'learning_rate': 5.845332859430446e-06, 'epoch': 47.41})   +03/14 [17:07:38] INFO  | >> Step 16550, Loss: {'action_dit_loss': 0.0017101417761296034, 'data_time': ]8;id=309222;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=475755;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016920873895287514, 'model_time': 1.9152013002894819, 'learning_rate':   +  5.815711510450632e-06, 'epoch': 47.56})   +03/14 [17:09:16] INFO  | >> Step 16600, Loss: {'action_dit_loss': 0.41178932785987854, 'mse_score': ]8;id=831621;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=735869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0008629984222352505, 'data_time': 0.0017016557976603508, 'model_time':   +  1.911553279031068, 'learning_rate': 5.786067828149038e-06, 'epoch': 47.7})   +03/14 [17:10:52] INFO  | >> Step 16650, Loss: {'action_dit_loss': 0.0016192031325772405, 'data_time': ]8;id=920341;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=806315;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0030813952907919884, 'model_time': 1.912432529963553, 'learning_rate':   +  5.7564029828074855e-06, 'epoch': 47.84})   +03/14 [17:12:30] INFO  | >> Step 16700, Loss: {'action_dit_loss': 0.009181554429233074, 'mse_score': ]8;id=450961;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=473489;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00012274363543838263, 'data_time': 0.00016209902241826057, 'model_time':   +  1.9152801525779068, 'learning_rate': 5.726718145543271e-06, 'epoch': 47.99})   +03/14 [17:14:07] INFO  | >> Step 16750, Loss: {'action_dit_loss': 0.025816403329372406, 'data_time': ]8;id=867611;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=475528;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015037888661026955, 'model_time': 1.9157160222530365, 'learning_rate':   +  5.697014488262945e-06, 'epoch': 48.13})   +03/14 [17:15:45] INFO  | >> Step 16800, Loss: {'action_dit_loss': 0.0030099977739155293, 'mse_score': ]8;id=327730;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=447494;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010591003810986877, 'data_time': 0.00016403896734118462, 'model_time':   +  1.9148008218035102, 'learning_rate': 5.667293183616031e-06, 'epoch': 48.28})   +03/14 [17:17:21] INFO  | >> Step 16850, Loss: {'action_dit_loss': 0.005455790087580681, 'data_time': ]8;id=999914;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=160053;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016379915177822113, 'model_time': 1.912471344228834, 'learning_rate':   +  5.63755540494875e-06, 'epoch': 48.42})   +03/14 [17:19:00] INFO  | >> Step 16900, Loss: {'action_dit_loss': 0.0016113519668579102, 'mse_score': ]8;id=95656;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=872176;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000692369882017374, 'data_time': 0.002529571298509836, 'model_time':   +  1.915337620768696, 'learning_rate': 5.607802326257682e-06, 'epoch': 48.56})   +03/14 [17:20:36] INFO  | >> Step 16950, Loss: {'action_dit_loss': 0.00211539538577199, 'data_time': ]8;id=780758;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=774683;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001564091071486473, 'model_time': 1.9143638387322426, 'learning_rate':   +  5.578035122143429e-06, 'epoch': 48.71})   +03/14 [17:22:14] INFO  | >> Step 17000, Loss: {'action_dit_loss': 0.14971604943275452, 'mse_score': ]8;id=62894;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=614953;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00028045030776411293, 'data_time': 0.0016381479799747467, 'model_time':   +  1.919799623079598, 'learning_rate': 5.548254967764239e-06, 'epoch': 48.85})   +03/14 [17:23:51] INFO  | >> Step 17050, Loss: {'action_dit_loss': 0.014078065752983093, 'data_time': ]8;id=128168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=430764;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002455462235957384, 'model_time': 1.9147839760407805, 'learning_rate':   +  5.518463038789617e-06, 'epoch': 48.99})   +03/14 [17:25:29] INFO  | >> Step 17100, Loss: {'action_dit_loss': 0.48519468307495117, 'mse_score': ]8;id=786730;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=443481;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0003328385530039668, 'data_time': 0.00015348941087722778, 'model_time':   +  1.9162628627382219, 'learning_rate': 5.488660511353906e-06, 'epoch': 49.14})   +03/14 [17:27:05] INFO  | >> Step 17150, Loss: {'action_dit_loss': 0.054199837148189545, 'data_time': ]8;id=301601;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=629575;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014666998758912086, 'model_time': 1.912513033952564, 'learning_rate':   +  5.4588485620098585e-06, 'epoch': 49.28})   +03/14 [17:28:43] INFO  | >> Step 17200, Loss: {'action_dit_loss': 0.006704763509333134, 'mse_score': ]8;id=532060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=223072;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001084845163859427, 'data_time': 0.00015228893607854843, 'model_time':   +  1.9149419995956123, 'learning_rate': 5.429028367682191e-06, 'epoch': 49.43})   +03/14 [17:30:20] INFO  | >> Step 17250, Loss: {'action_dit_loss': 0.010667454451322556, 'data_time': ]8;id=888432;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=113475;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001600789837539196, 'model_time': 1.9164404948242009, 'learning_rate':   +  5.399201105621111e-06, 'epoch': 49.57})   +03/14 [17:31:58] INFO  | >> Step 17300, Loss: {'action_dit_loss': 0.001845337450504303, 'mse_score': ]8;id=120465;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=799649;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014177835546433926, 'data_time': 0.001712447963654995, 'model_time':   +  1.914999702014029, 'learning_rate': 5.369367953355854e-06, 'epoch': 49.71})   +03/14 [17:33:34] INFO  | >> Step 17350, Loss: {'action_dit_loss': 0.002029112773016095, 'data_time': ]8;id=449956;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=886209;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001574377529323101, 'model_time': 1.912197292316705, 'learning_rate':   +  5.33953008864819e-06, 'epoch': 49.86})   +03/14 [17:35:12] INFO  | >> Step 17400, Loss: {'action_dit_loss': 0.06570848822593689, 'mse_score': ]8;id=643378;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=707764;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001061861403286457, 'data_time': 0.0013262112624943256, 'model_time':   +  1.9113380028866231, 'learning_rate': 5.309688689445926e-06, 'epoch': 50.0})   +03/14 [17:36:48] INFO  | >> Step 17450, Loss: {'action_dit_loss': 0.006008931901305914, 'data_time': ]8;id=974215;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=689786;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022809337824583054, 'model_time': 1.9112867638468742, 'learning_rate':   +  5.279844933836405e-06, 'epoch': 50.14})   +03/14 [17:38:26] INFO  | >> Step 17500, Loss: {'action_dit_loss': 0.00451283436268568, 'mse_score': ]8;id=189179;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=286544;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010590063175186515, 'data_time': 0.00015067914500832558, 'model_time':   +  1.9137403243221343, 'learning_rate': 5.2500000000000006e-06, 'epoch': 50.29})   +03/14 [17:40:02] INFO  | >> Step 17550, Loss: {'action_dit_loss': 0.06591373682022095, 'data_time': ]8;id=356331;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=368074;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023581436835229397, 'model_time': 1.913395359646529, 'learning_rate':   +  5.220155066163596e-06, 'epoch': 50.43})   +03/14 [17:41:42] INFO  | >> Step 17600, Loss: {'action_dit_loss': 0.0010507130064070225, 'mse_score': ]8;id=593830;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=689275;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010592920007184148, 'data_time': 0.0018645371310412884, 'model_time':   +  1.9112070971168578, 'learning_rate': 5.1903113105540746e-06, 'epoch': 50.57})   +03/14 [17:43:18] INFO  | >> Step 17650, Loss: {'action_dit_loss': 0.027246274054050446, 'data_time': ]8;id=663928;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=32146;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016401894390583038, 'model_time': 1.9162907609716058, 'learning_rate':   +  5.160469911351812e-06, 'epoch': 50.72})   +03/14 [17:44:56] INFO  | >> Step 17700, Loss: {'action_dit_loss': 0.0025420000310987234, 'mse_score': ]8;id=394468;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=440226;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0005464894697070122, 'data_time': 0.002460822928696871, 'model_time':   +  1.9142443230375648, 'learning_rate': 5.1306320466441474e-06, 'epoch': 50.86})   +03/14 [17:46:31] INFO  | >> Step 17750, Loss: {'action_dit_loss': 0.0024873660877346992, 'data_time': ]8;id=326775;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=756648;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002301644068211317, 'model_time': 1.9110613521188498, 'learning_rate':   +  5.100798894378891e-06, 'epoch': 51.01})   +03/14 [17:48:09] INFO  | >> Step 17800, Loss: {'action_dit_loss': 0.058597464114427567, 'mse_score': ]8;id=625185;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=89083;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014291739789769055, 'data_time': 0.00015222886577248573, 'model_time':   +  1.9231433039531112, 'learning_rate': 5.070971632317811e-06, 'epoch': 51.15})   +03/14 [17:49:46] INFO  | >> Step 17850, Loss: {'action_dit_loss': 0.0011574097443372011, 'data_time': ]8;id=791083;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=647850;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014542099088430405, 'model_time': 1.913497256115079, 'learning_rate':   +  5.041151437990143e-06, 'epoch': 51.29})   +03/14 [17:51:24] INFO  | >> Step 17900, Loss: {'action_dit_loss': 0.0070075299590826035, 'mse_score': ]8;id=464637;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=694093;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001044456847012043, 'data_time': 0.0025728517211973667, 'model_time':   +  1.9148207306861877, 'learning_rate': 5.0113394886460954e-06, 'epoch': 51.44})   +03/14 [17:53:01] INFO  | >> Step 17950, Loss: {'action_dit_loss': 0.148200124502182, 'data_time': ]8;id=434303;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=286436;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001481589861214161, 'model_time': 1.9144732458516955, 'learning_rate':   +  4.981536961210384e-06, 'epoch': 51.58})   +03/14 [17:54:39] INFO  | >> Step 18000, Loss: {'action_dit_loss': 0.0015586550580337644, 'mse_score': ]8;id=361939;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=450797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00011294358409941196, 'data_time': 0.0001582978293299675, 'model_time':   +  1.916639267001301, 'learning_rate': 4.951745032235762e-06, 'epoch': 51.72})   +03/14 [17:56:15] INFO  | >> Step 18050, Loss: {'action_dit_loss': 0.001679275301285088, 'data_time': ]8;id=621946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=510271;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001492062583565712, 'model_time': 1.9118754849769175, 'learning_rate':   +  4.921964877856572e-06, 'epoch': 51.87})   +03/14 [17:57:54] INFO  | >> Step 18100, Loss: {'action_dit_loss': 0.0009762135450728238, 'mse_score': ]8;id=231230;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=414463;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000317594944499433, 'data_time': 0.0032986770384013653, 'model_time':   +  2.170194235164672, 'learning_rate': 4.89219767374232e-06, 'epoch': 52.01})   +03/14 [17:59:30] INFO  | >> Step 18150, Loss: {'action_dit_loss': 0.001065429300069809, 'data_time': ]8;id=316061;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=991244;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001651337370276451, 'model_time': 1.9147834558971226, 'learning_rate':   +  4.862444595051253e-06, 'epoch': 52.16})   +03/14 [18:01:08] INFO  | >> Step 18200, Loss: {'action_dit_loss': 0.014286781661212444, 'mse_score': ]8;id=267931;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=303507;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00011370179709047079, 'data_time': 0.00016510393470525742, 'model_time':   +  1.9123144396580756, 'learning_rate': 4.83270681638397e-06, 'epoch': 52.3})   +03/14 [18:02:44] INFO  | >> Step 18250, Loss: {'action_dit_loss': 0.0008837353670969605, 'data_time': ]8;id=783301;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=451574;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003993354272097349, 'model_time': 1.9097837531007826, 'learning_rate':   +  4.802985511737057e-06, 'epoch': 52.44})   +03/14 [18:04:23] INFO  | >> Step 18300, Loss: {'action_dit_loss': 0.01488230936229229, 'mse_score': ]8;id=737852;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=241288;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010812919354066252, 'data_time': 0.0027718492783606052, 'model_time':   +  1.9091327087953687, 'learning_rate': 4.773281854456729e-06, 'epoch': 52.59})   +03/14 [18:05:59] INFO  | >> Step 18350, Loss: {'action_dit_loss': 0.003913505934178829, 'data_time': ]8;id=845362;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=371371;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015681730583310127, 'model_time': 1.9141487660817802, 'learning_rate':   +  4.743597017192516e-06, 'epoch': 52.73})   +03/14 [18:07:37] INFO  | >> Step 18400, Loss: {'action_dit_loss': 0.0013209866592660546, 'mse_score': ]8;id=44357;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=457409;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010894471779465675, 'data_time': 0.00019988184794783592, 'model_time':   +  1.9138121171854436, 'learning_rate': 4.713932171850962e-06, 'epoch': 52.87})   +03/14 [18:09:13] INFO  | >> Step 18450, Loss: {'action_dit_loss': 0.007810684852302074, 'data_time': ]8;id=903987;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=328267;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002501108217984438, 'model_time': 1.913455921690911, 'learning_rate':   +  4.684288489549368e-06, 'epoch': 53.02})   +03/14 [18:10:51] INFO  | >> Step 18500, Loss: {'action_dit_loss': 0.0009993223939090967, 'mse_score': ]8;id=743963;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=671237;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00037620775401592255, 'data_time': 0.0016996259801089764, 'model_time':   +  1.9145497712306678, 'learning_rate': 4.654667140569555e-06, 'epoch': 53.16})   +03/14 [18:12:27] INFO  | >> Step 18550, Loss: {'action_dit_loss': 0.003901967778801918, 'data_time': ]8;id=21869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=340544;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001558009535074234, 'model_time': 1.9148664916865528, 'learning_rate':   +  4.625069294311658e-06, 'epoch': 53.3})   +03/14 [18:14:05] INFO  | >> Step 18600, Loss: {'action_dit_loss': 0.05011482909321785, 'mse_score': 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]8;id=80089;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=535280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001093172817490995, 'data_time': 0.004869282245635986, 'model_time':   +  1.9110862468369305, 'learning_rate': 4.477473465324303e-06, 'epoch': 54.02})   +03/14 [18:22:10] INFO  | >> Step 18850, Loss: {'action_dit_loss': 0.018025994300842285, 'data_time': ]8;id=203322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=949928;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001649712212383747, 'model_time': 1.9174305270425975, 'learning_rate':   +  4.448041137614514e-06, 'epoch': 54.17})   +03/14 [18:23:48] INFO  | >> Step 18900, Loss: {'action_dit_loss': 0.0030990634113550186, 'mse_score': 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]8;id=797143;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=796028;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0002757729031145573, 'data_time': 0.0014353636652231216, 'model_time':   +  1.9126136270351708, 'learning_rate': 4.359938755717807e-06, 'epoch': 54.6})   +03/14 [18:28:40] INFO  | >> Step 19050, Loss: {'action_dit_loss': 0.0008286560187116265, 'data_time': ]8;id=810389;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=658452;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023027509450912476, 'model_time': 1.91731897322461, 'learning_rate':   +  4.330640026758414e-06, 'epoch': 54.74})   +03/14 [18:30:18] INFO  | >> Step 19100, Loss: {'action_dit_loss': 0.0023199496790766716, 'mse_score': ]8;id=796788;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=607616;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010947425616905093, 'data_time': 0.0001575150527060032, 'model_time':   +  1.9185777907259762, 'learning_rate': 4.301377592556567e-06, 'epoch': 54.89})   +03/14 [18:31:54] INFO  | >> Step 19150, Loss: {'action_dit_loss': 0.029387889429926872, 'data_time': ]8;id=591912;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=674225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001561806071549654, 'model_time': 1.9171441518701613, 'learning_rate':   +  4.272152608343066e-06, 'epoch': 55.03})   +03/14 [18:33:32] INFO  | >> Step 19200, Loss: {'action_dit_loss': 0.0012856846442446113, 'mse_score': ]8;id=657685;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=331495;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001069955644197762, 'data_time': 0.0001589059829711914, 'model_time':   +  1.912646648939699, 'learning_rate': 4.242966227870242e-06, 'epoch': 55.17})   +03/14 [18:35:10] INFO  | >> Step 19250, Loss: {'action_dit_loss': 0.007827634923160076, 'data_time': ]8;id=463688;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=662055;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015232618898153305, 'model_time': 1.9358064970001578, 'learning_rate':   +  4.213819603366424e-06, 'epoch': 55.32})   +03/14 [18:36:49] INFO  | >> Step 19300, Loss: {'action_dit_loss': 0.0010664447909221053, 'mse_score': ]8;id=58900;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=369038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00040094321593642235, 'data_time': 0.0023687072098255157, 'model_time':   +  1.9174021030776203, 'learning_rate': 4.18471388549044e-06, 'epoch': 55.46})   +03/14 [18:38:25] INFO  | >> Step 19350, Loss: {'action_dit_loss': 0.0008160392753779888, 'data_time': ]8;id=473866;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=39434;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001468556933104992, 'model_time': 1.915151805151254, 'learning_rate':   +  4.155650223286196e-06, 'epoch': 55.6})   +03/14 [18:40:03] INFO  | >> Step 19400, Loss: {'action_dit_loss': 0.02325516566634178, 'mse_score': ]8;id=80458;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=675981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00020251718815416097, 'data_time': 0.00016896799206733704, 'model_time':   +  1.9155704104341567, 'learning_rate': 4.126629764137309e-06, 'epoch': 55.75})   +03/14 [18:41:38] INFO  | >> Step 19450, Loss: {'action_dit_loss': 0.0009578103199601173, 'data_time': ]8;id=622937;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=531699;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015422510914504528, 'model_time': 1.919043810106814, 'learning_rate':   +  4.097653653721816e-06, 'epoch': 55.89})   +03/14 [18:43:17] INFO  | >> Step 19500, Loss: {'action_dit_loss': 0.03326725959777832, 'mse_score': ]8;id=830281;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=774814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0010939780622720718, 'data_time': 0.0033462620340287685, 'model_time':   +  1.9117143261246383, 'learning_rate': 4.06872303596694e-06, 'epoch': 56.03})   +03/14 [18:44:54] INFO  | >> Step 19550, Loss: {'action_dit_loss': 0.10798081010580063, 'data_time': ]8;id=849153;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=599425;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015868805348873138, 'model_time': 1.9141275770962238, 'learning_rate':   +  4.039839053003935e-06, 'epoch': 56.18})   +03/14 [18:46:32] INFO  | >> Step 19600, Loss: {'action_dit_loss': 0.0008948930772021413, 'mse_score': ]8;id=498733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=525721;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010892655700445175, 'data_time': 0.00015746895223855972, 'model_time':   +  1.9185442719608545, 'learning_rate': 4.011002845122991e-06, 'epoch': 56.32})   +03/14 [18:48:09] INFO  | >> Step 19650, Loss: {'action_dit_loss': 0.0021683438681066036, 'data_time': ]8;id=850360;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=942802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015734881162643433, 'model_time': 1.9126633270643651, 'learning_rate':   +  3.9822155507282176e-06, 'epoch': 56.47})   +03/14 [18:49:47] INFO  | >> Step 19700, Loss: {'action_dit_loss': 0.0009691391605883837, 'mse_score': ]8;id=529057;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=677513;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00026768245734274385, 'data_time': 0.0034763519652187824, 'model_time':   +  1.9197501791641116, 'learning_rate': 3.953478306292706e-06, 'epoch': 56.61})   +03/14 [18:51:23] INFO  | >> Step 19750, Loss: {'action_dit_loss': 0.001373316626995802, 'data_time': ]8;id=459022;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=460767;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015505915507674217, 'model_time': 1.9121010201051831, 'learning_rate':   +  3.9247922463136615e-06, 'epoch': 56.75})   +03/14 [18:53:02] INFO  | >> Step 19800, Loss: {'action_dit_loss': 0.011121994815766811, 'mse_score': ]8;id=381574;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=390963;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014529377222061157, 'data_time': 0.00015512900426983833, 'model_time':   +  1.9172764872200787, 'learning_rate': 3.896158503267613e-06, 'epoch': 56.9})   +03/14 [18:54:38] INFO  | >> Step 19850, Loss: {'action_dit_loss': 0.0009531147661618888, 'data_time': ]8;id=812085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=354803;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.004059312865138054, 'model_time': 1.9105826551094651, 'learning_rate':   +  3.86757820756571e-06, 'epoch': 57.04})   +03/14 [18:56:16] INFO  | >> Step 19900, Loss: {'action_dit_loss': 0.0028932804707437754, 'mse_score': ]8;id=661532;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=678748;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010591003810986877, 'data_time': 0.00015438906848430634, 'model_time':   +  1.9128483179956675, 'learning_rate': 3.839052487509085e-06, 'epoch': 57.18})   +03/14 [18:57:51] INFO  | >> Step 19950, Loss: {'action_dit_loss': 0.10321104526519775, 'data_time': ]8;id=585066;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=711332;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015651099383831024, 'model_time': 1.9159777471795678, 'learning_rate':   +  3.8105824692443244e-06, 'epoch': 57.33})   +03/14 [18:59:31] INFO  | >> Step 20000, Loss: {'action_dit_loss': 0.0009224670939147472, 'mse_score': ]8;id=892931;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=688457;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010260278359055519, 'data_time': 0.0001573893241584301, 'model_time':   +  1.9132902431301773, 'learning_rate': 3.782169276719e-06, 'epoch': 57.47})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314/checkpoints/steps_20000 +03/14 [18:59:39] INFO  | >> 📊 Saving accessed configuration... ]8;id=349555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=85461;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#240\240]8;;\ +  INFO  | >> ✅ Configuration files saved ]8;id=366813;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=325301;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\ +03/14 [19:01:16] INFO  | >> Step 20050, Loss: {'action_dit_loss': 0.0027429223991930485, 'data_time': ]8;id=135215;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=623945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0026692342944443226, 'model_time': 1.9167117392644286, 'learning_rate':   +  3.7538140316373035e-06, 'epoch': 57.61})   +03/14 [19:02:54] INFO  | >> Step 20100, Loss: {'action_dit_loss': 0.0004706727049779147, 'mse_score': ]8;id=586072;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=394976;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017874155892059208, 'data_time': 0.0021411478519439697, 'model_time':   +  1.9145297589711845, 'learning_rate': 3.7255178534157556e-06, 'epoch': 57.76})   +03/14 [19:04:30] INFO  | >> Step 20150, Loss: {'action_dit_loss': 0.002023560693487525, 'data_time': ]8;id=134001;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=702667;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001543569378554821, 'model_time': 1.9131510071456432, 'learning_rate':   +  3.697281859139024e-06, 'epoch': 57.9})   +03/14 [19:06:08] INFO  | >> Step 20200, Loss: {'action_dit_loss': 0.013333776965737343, 'mse_score': ]8;id=718709;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=956771;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00013620685786008835, 'data_time': 0.00015465682372450829, 'model_time':   +  1.9164403099566698, 'learning_rate': 3.669107163515814e-06, 'epoch': 58.05})   +03/14 [19:07:44] INFO  | >> Step 20250, Loss: {'action_dit_loss': 0.0012156292796134949, 'data_time': ]8;id=443973;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=533188;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003921504132449627, 'model_time': 1.9109542570076883, 'learning_rate':   +  3.640994878834866e-06, 'epoch': 58.19})   +03/14 [19:09:22] INFO  | >> Step 20300, Loss: {'action_dit_loss': 0.002708614803850651, 'mse_score': ]8;id=189019;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=997373;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001084845163859427, 'data_time': 0.00015981821343302727, 'model_time':   +  1.912994708865881, 'learning_rate': 3.612946114921044e-06, 'epoch': 58.33})   +03/14 [19:11:00] INFO  | >> Step 20350, Loss: {'action_dit_loss': 0.004586293827742338, 'data_time': ]8;id=509892;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=201332;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002908379305154085, 'model_time': 1.9126747041009367, 'learning_rate':   +  3.58496197909152e-06, 'epoch': 58.48})   +03/14 [19:12:38] INFO  | >> Step 20400, Loss: {'action_dit_loss': 0.0004313828540034592, 'mse_score': ]8;id=310160;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=885447;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010900783818215131, 'data_time': 0.00015446776524186134, 'model_time':   +  1.9226201632991433, 'learning_rate': 3.5570435761120596e-06, 'epoch': 58.62})   +03/14 [19:14:14] INFO  | >> Step 20450, Loss: {'action_dit_loss': 0.0035799893084913492, 'data_time': ]8;id=565990;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=875686;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0024322010576725006, 'model_time': 1.9130412242375314, 'learning_rate':   +  3.529192008153408e-06, 'epoch': 58.76})   +03/14 [19:15:52] INFO  | >> Step 20500, Loss: {'action_dit_loss': 0.00057230144739151, 'mse_score': ]8;id=694083;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=353123;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00021608455572277307, 'data_time': 0.0033526718616485596, 'model_time':   +  1.9110330948606133, 'learning_rate': 3.50140837474778e-06, 'epoch': 58.91})   +03/14 [19:17:28] INFO  | >> Step 20550, Loss: {'action_dit_loss': 0.007845791056752205, 'data_time': 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]8;id=756215;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=458933;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003111540339887142, 'model_time': 1.9159516780637205, 'learning_rate':   +  3.4184760366823666e-06, 'epoch': 59.34})   +03/14 [19:22:22] INFO  | >> Step 20700, Loss: {'action_dit_loss': 0.0006391987553797662, 'mse_score': ]8;id=754540;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=249068;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010592920007184148, 'data_time': 0.0001519080251455307, 'model_time':   +  1.9177493397146463, 'learning_rate': 3.3909750825232883e-06, 'epoch': 59.48})   +03/14 [19:23:58] INFO  | >> Step 20750, Loss: {'action_dit_loss': 0.04292357712984085, 'data_time': ]8;id=784897;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=821874;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015412862412631512, 'model_time': 1.9113548332825303, 'learning_rate':   +  3.3635475194847927e-06, 'epoch': 59.63})   +03/14 [19:25:36] INFO  | >> Step 20800, Loss: {'action_dit_loss': 0.0010640791151672602, 'mse_score': ]8;id=324500;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=847903;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010857104789465665, 'data_time': 0.0015748157165944576, 'model_time':   +  1.9116176259703934, 'learning_rate': 3.3361944303601028e-06, 'epoch': 59.77})   +03/14 [19:27:12] INFO  | >> Step 20850, Loss: {'action_dit_loss': 0.0013242537388578057, 'data_time': ]8;id=203440;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=385709;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014401581138372421, 'model_time': 1.9102590940892696, 'learning_rate':   +  3.3089168950023427e-06, 'epoch': 59.91})   +03/14 [19:28:50] INFO  | >> Step 20900, Loss: {'action_dit_loss': 0.0005857005016878247, 'mse_score': ]8;id=484106;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=806814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00012840701965615152, 'data_time': 0.0016338960267603397, 'model_time':   +  1.915735290851444, 'learning_rate': 3.2817159902819007e-06, 'epoch': 60.06})   +03/14 [19:30:26] INFO  | >> Step 20950, Loss: {'action_dit_loss': 0.0019835957791656256, 'data_time': ]8;id=553081;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=438997;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001593706663697958, 'model_time': 1.9124378529377282, 'learning_rate':   +  3.2545927900439204e-06, 'epoch': 60.2})   +03/14 [19:32:04] INFO  | >> Step 21000, Loss: {'action_dit_loss': 0.005681627430021763, 'mse_score': ]8;id=634035;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=145121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010551027953624726, 'data_time': 0.0014898572117090225, 'model_time':   +  1.9112322968430817, 'learning_rate': 3.227548365065905e-06, 'epoch': 60.34})   +03/14 [19:33:41] INFO  | >> Step 21050, Loss: {'action_dit_loss': 0.0008597122505307198, 'data_time': ]8;id=503935;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=916578;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.004303565248847008, 'model_time': 1.9119043541140854, 'learning_rate':   +  3.2005837830154444e-06, 'epoch': 60.49})   +03/14 [19:35:19] INFO  | >> Step 21100, Loss: {'action_dit_loss': 0.0018176714656874537, 'mse_score': ]8;id=745957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=886982;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00011153296800330282, 'data_time': 0.00016712909564375877, 'model_time':   +  1.9177851118147373, 'learning_rate': 3.1737001084080697e-06, 'epoch': 60.63})   +03/14 [19:36:55] INFO  | >> Step 21150, Loss: {'action_dit_loss': 0.014539855532348156, 'data_time': ]8;id=87949;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=800185;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001657038927078247, 'model_time': 1.9125024792738259, 'learning_rate':   +  3.146898402565219e-06, 'epoch': 60.78})   +03/14 [19:38:33] INFO  | >> Step 21200, Loss: {'action_dit_loss': 0.0007769145304337144, 'mse_score': ]8;id=538289;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=154506;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010670707561075688, 'data_time': 0.00018582167103886604, 'model_time':   +  1.9123353082686663, 'learning_rate': 3.1201797235723474e-06, 'epoch': 60.92})   +03/14 [19:40:09] INFO  | >> Step 21250, Loss: {'action_dit_loss': 0.0011184385512024164, 'data_time': ]8;id=954733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=232823;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016369391232728958, 'model_time': 1.9159680004231632, 'learning_rate':   +  3.093545126237153e-06, 'epoch': 61.06})   +03/14 [19:41:47] INFO  | >> Step 21300, Loss: {'action_dit_loss': 0.0006161282653920352, 'mse_score': ]8;id=975670;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=27965;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015160588081926108, 'data_time': 0.004210410173982382, 'model_time':   +  1.910197062883526, 'learning_rate': 3.066995662047933e-06, 'epoch': 61.21})   +03/14 [19:43:23] INFO  | >> Step 21350, Loss: {'action_dit_loss': 0.0007833460695110261, 'data_time': ]8;id=392127;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=247231;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001652948558330536, 'model_time': 1.9137640642002225, 'learning_rate':   +  3.040532379132073e-06, 'epoch': 61.35})   +03/14 [19:45:02] INFO  | >> Step 21400, Loss: {'action_dit_loss': 0.019655687734484673, 'mse_score': ]8;id=29556;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=334165;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015467563644051553, 'data_time': 0.00016270624473690987, 'model_time':   +  1.914221536833793, 'learning_rate': 3.0141563222146704e-06, 'epoch': 61.49})   +03/14 [19:46:39] INFO  | >> Step 21450, Loss: {'action_dit_loss': 0.017588874325156212, 'data_time': ]8;id=681533;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=351577;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003437186125665903, 'model_time': 1.9109535422176123, 'learning_rate':   +  2.987868532577289e-06, 'epoch': 61.64})   +03/14 [19:48:17] INFO  | >> Step 21500, Loss: {'action_dit_loss': 0.0005343282828107476, 'mse_score': ]8;id=300814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=961959;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010894471779465675, 'data_time': 0.00016320589929819107, 'model_time':   +  1.9127614269964397, 'learning_rate': 2.961670048016852e-06, 'epoch': 61.78})   +03/14 [19:49:52] INFO  | >> Step 21550, Loss: {'action_dit_loss': 0.0066993990913033485, 'data_time': ]8;id=145534;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=795702;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014700200408697128, 'model_time': 1.9134222068823874, 'learning_rate':   +  2.9355619028046707e-06, 'epoch': 61.93})   +03/14 [19:51:30] INFO  | >> Step 21600, Loss: {'action_dit_loss': 0.0007277678814716637, 'mse_score': ]8;id=5506;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=949860;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010883420472964644, 'data_time': 0.00015588710084557533, 'model_time':   +  1.9142602230422199, 'learning_rate': 2.9095451276456155e-06, 'epoch': 62.07})   +03/14 [19:53:06] INFO  | >> Step 21650, Loss: {'action_dit_loss': 0.0007581564132124186, 'data_time': ]8;id=875522;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=156782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001643267460167408, 'model_time': 1.9186976640485227, 'learning_rate':   +  2.883620749637419e-06, 'epoch': 62.21})   +03/14 [19:54:45] INFO  | >> Step 21700, Loss: {'action_dit_loss': 0.0005417641950771213, 'mse_score': ]8;id=553408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=443814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00044808099046349524, 'data_time': 0.003075066953897476, 'model_time':   +  1.9150250856764615, 'learning_rate': 2.857789792230136e-06, 'epoch': 62.36})   +03/14 [19:56:23] INFO  | >> Step 21750, Loss: {'action_dit_loss': 0.0009168533142656088, 'data_time': ]8;id=315779;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=127767;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014887703582644463, 'model_time': 1.9164715581573546, 'learning_rate':   +  2.8320532751857365e-06, 'epoch': 62.5})   +03/14 [19:58:01] INFO  | >> Step 21800, Loss: {'action_dit_loss': 0.0014507226878777146, 'mse_score': ]8;id=832463;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=653064;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010627922601997852, 'data_time': 0.0019591189920902252, 'model_time':   +  1.915984627790749, 'learning_rate': 2.8064122145378443e-06, 'epoch': 62.64})   +03/14 [19:59:37] INFO  | >> Step 21850, Loss: {'action_dit_loss': 0.0007779214065521955, 'data_time': ]8;id=949115;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=524108;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003925389610230923, 'model_time': 1.9130913210101426, 'learning_rate':   +  2.7808676225516294e-06, 'epoch': 62.79})   +03/14 [20:01:15] INFO  | >> Step 21900, Loss: {'action_dit_loss': 0.0009524199413135648, 'mse_score': ]8;id=540410;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=602980;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001093172817490995, 'data_time': 0.00016047712415456772, 'model_time':   +  1.9150591571815312, 'learning_rate': 2.7554205076838447e-06, 'epoch': 62.93})   +03/14 [20:02:51] INFO  | >> Step 21950, Loss: {'action_dit_loss': 0.02492772601544857, 'data_time': ]8;id=450089;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=1640;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015278668142855167, 'model_time': 1.91307203611359, 'learning_rate':   +  2.7300718745430122e-06, 'epoch': 63.07})   +03/14 [20:04:29] INFO  | >> Step 22000, Loss: {'action_dit_loss': 0.04090607911348343, 'mse_score': ]8;id=436802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=196412;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00011130213970318436, 'data_time': 0.0003720535896718502, 'model_time':   +  1.9147569038905203, 'learning_rate': 2.704822723849765e-06, 'epoch': 63.22})   +03/14 [20:06:05] INFO  | >> Step 22050, Loss: {'action_dit_loss': 0.013757199048995972, 'data_time': ]8;id=378120;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=70966;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00013025803491473198, 'model_time': 1.9183709449134767, 'learning_rate':   +  2.6796740523973404e-06, 'epoch': 63.36})   +03/14 [20:07:45] INFO  | >> Step 22100, Loss: {'action_dit_loss': 0.0005890815518796444, 'mse_score': ]8;id=824613;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=532280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00011655784910544754, 'data_time': 0.004071744158864021, 'model_time':   +  1.911798071116209, 'learning_rate': 2.654626853012222e-06, 'epoch': 63.51})   +03/14 [20:09:20] INFO  | >> Step 22150, Loss: {'action_dit_loss': 0.0009374348446726799, 'data_time': 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]8;id=368623;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=468849;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015198998153209686, 'model_time': 1.9127977010793984, 'learning_rate':   +  2.1537898048208265e-06, 'epoch': 66.52})   +03/14 [20:43:24] INFO  | >> Step 23200, Loss: {'action_dit_loss': 0.0005917883245274425, 'mse_score': ]8;id=369685;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=644718;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010974782053381204, 'data_time': 0.0024873176589608192, 'model_time':   +  1.9119237191043794, 'learning_rate': 2.1312176601734572e-06, 'epoch': 66.67})   +03/14 [20:44:59] INFO  | >> Step 23250, Loss: {'action_dit_loss': 0.05933694913983345, 'data_time': 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]8;id=123481;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=274492;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014585023745894432, 'model_time': 1.9122564890421927, 'learning_rate':   +  1.8912427893638996e-06, 'epoch': 68.25})   +03/14 [21:02:52] INFO  | >> Step 23800, Loss: {'action_dit_loss': 0.0007262998260557652, 'mse_score': ]8;id=224993;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=641599;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010592920007184148, 'data_time': 0.00237563019618392, 'model_time':   +  1.912337137851864, 'learning_rate': 1.8702055332558948e-06, 'epoch': 68.39})   +03/14 [21:04:27] INFO  | >> Step 23850, Loss: {'action_dit_loss': 0.0005882263067178428, 'data_time': ]8;id=209902;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=128594;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016187303699553013, 'model_time': 1.9152144640684128, 'learning_rate':   +  1.8493017056463018e-06, 'epoch': 68.53})   +03/14 [21:06:06] INFO  | >> Step 23900, Loss: {'action_dit_loss': 0.06604049354791641, 'mse_score': ]8;id=181043;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=942333;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015517041319981217, 'data_time': 0.00017184996977448463, 'model_time':   +  1.914554956369102, 'learning_rate': 1.828532131782442e-06, 'epoch': 68.68})   +03/14 [21:07:42] INFO  | >> Step 23950, Loss: {'action_dit_loss': 0.0023187953047454357, 'data_time': ]8;id=715054;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=886593;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002304390072822571, 'model_time': 1.9100376381538808, 'learning_rate':   +  1.8078976316115282e-06, 'epoch': 68.82})   +03/14 [21:09:20] INFO  | >> Step 24000, Loss: {'action_dit_loss': 0.0005498446989804506, 'mse_score': ]8;id=68093;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=576713;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010682373540475965, 'data_time': 0.0017793886363506317, 'model_time':   +  1.9128973577171564, 'learning_rate': 1.7873990197482962e-06, 'epoch': 68.97})   +03/14 [21:10:56] INFO  | >> Step 24050, Loss: {'action_dit_loss': 0.000539777334779501, 'data_time': ]8;id=892717;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=165156;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000166269950568676, 'model_time': 1.9146668068133295, 'learning_rate':   +  1.7670371054428407e-06, 'epoch': 69.11})   +03/14 [21:12:34] INFO  | >> Step 24100, Loss: {'action_dit_loss': 0.0006194768357090652, 'mse_score': ]8;id=668676;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=182547;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001044456847012043, 'data_time': 0.00015387032181024551, 'model_time':   +  1.917062385007739, 'learning_rate': 1.7468126925486745e-06, 'epoch': 69.25})   +03/14 [21:14:11] INFO  | >> Step 24150, Loss: {'action_dit_loss': 0.02397712878882885, 'data_time': ]8;id=127257;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=210743;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015847990289330482, 'model_time': 1.918793662916869, 'learning_rate':   +  1.7267265794909893e-06, 'epoch': 69.4})   +03/14 [21:15:49] INFO  | >> Step 24200, Loss: {'action_dit_loss': 0.0005388016579672694, 'mse_score': ]8;id=518019;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=27560;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00011153296800330282, 'data_time': 0.0001651695929467678, 'model_time':   +  1.9184958436526358, 'learning_rate': 1.7067795592351348e-06, 'epoch': 69.54})   +03/14 [21:17:26] INFO  | >> Step 24250, Loss: {'action_dit_loss': 0.09797470271587372, 'data_time': ]8;id=490110;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=842700;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0024315090849995613, 'model_time': 1.9121605609543622, 'learning_rate':   +  1.6869724192553168e-06, 'epoch': 69.68})   +03/14 [21:19:04] INFO  | >> Step 24300, Loss: {'action_dit_loss': 0.000729647115804255, 'mse_score': ]8;id=90403;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=68941;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010670707561075688, 'data_time': 0.0022682431153953075, 'model_time':   +  1.9149305927567184, 'learning_rate': 1.6673059415035066e-06, 'epoch': 69.83})   +03/14 [21:20:40] INFO  | >> Step 24350, Loss: {'action_dit_loss': 0.0024768172297626734, 'data_time': ]8;id=501916;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=551231;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001607099547982216, 'model_time': 1.9153948230668902, 'learning_rate':   +  1.6477809023785713e-06, 'epoch': 69.97})   +03/14 [21:22:18] INFO  | >> Step 24400, Loss: {'action_dit_loss': 0.0005254122661426663, 'mse_score': ]8;id=602826;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=77333;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010491919238120317, 'data_time': 0.0014461376704275608, 'model_time':   +  1.9174400880001485, 'learning_rate': 1.628398072695622e-06, 'epoch': 70.11})   +03/14 [21:23:54] INFO  | >> Step 24450, Loss: {'action_dit_loss': 0.0005274705472402275, 'data_time': ]8;id=471832;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=488461;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023439787328243256, 'model_time': 1.9139988562092185, 'learning_rate':   +  1.609158217655589e-06, 'epoch': 70.26})   +03/14 [21:25:33] INFO  | >> Step 24500, Loss: {'action_dit_loss': 0.0005263539496809244, 'mse_score': ]8;id=920607;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=869325;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010812919354066252, 'data_time': 0.003298726864159107, 'model_time':   +  1.9158526039682329, 'learning_rate': 1.5900620968150015e-06, 'epoch': 70.4})   +03/14 [21:27:09] INFO  | >> Step 24550, Loss: {'action_dit_loss': 0.0006068187649361789, 'data_time': ]8;id=190802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=805077;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001668352633714676, 'model_time': 1.9166267500258982, 'learning_rate':   +  1.5711104640560149e-06, 'epoch': 70.55})   +03/14 [21:28:47] INFO  | >> Step 24600, Loss: {'action_dit_loss': 0.0011125740129500628, 'mse_score': ]8;id=910385;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=58104;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010894471779465675, 'data_time': 0.00015658466145396233, 'model_time':   +  1.9145295699127018, 'learning_rate': 1.5523040675566391e-06, 'epoch': 70.69})   +03/14 [21:30:23] INFO  | >> Step 24650, Loss: {'action_dit_loss': 0.0006355660734698176, 'data_time': ]8;id=318897;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=172655;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003943602088838816, 'model_time': 1.909691951237619, 'learning_rate':   +  1.5336436497612063e-06, 'epoch': 70.83})   +03/14 [21:32:01] INFO  | >> Step 24700, Loss: {'action_dit_loss': 0.00045483201392926276, ]8;id=236422;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=362831;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'mse_score': 0.00010883420472964644, 'data_time': 0.00015436578541994095,   +  'model_time': 1.9138707807287574, 'learning_rate': 1.5151299473510602e-06,   +  'epoch': 70.98})   +03/14 [21:33:37] INFO  | >> Step 24750, Loss: {'action_dit_loss': 0.0006288567674346268, 'data_time': ]8;id=297846;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=887025;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015960587188601494, 'model_time': 1.9139663609676063, 'learning_rate':   +  1.4967636912154707e-06, 'epoch': 71.12})   +03/14 [21:35:16] INFO  | >> Step 24800, Loss: {'action_dit_loss': 0.0007770218071527779, 'mse_score': ]8;id=577599;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=287782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010848772944882512, 'data_time': 0.00015564681962132454, 'model_time':   +  1.91237509297207, 'learning_rate': 1.4785456064227818e-06, 'epoch': 71.26})   +03/14 [21:36:53] INFO  | >> Step 24850, Loss: {'action_dit_loss': 0.0005364770768210292, 'data_time': ]8;id=559392;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=97966;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015821726992726326, 'model_time': 1.9122241586446762, 'learning_rate':   +  1.4604764121917871e-06, 'epoch': 71.41})   +03/14 [21:38:31] INFO  | >> Step 24900, Loss: {'action_dit_loss': 0.0007095817127265036, 'mse_score': ]8;id=987346;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=608851;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010627922601997852, 'data_time': 0.0030288039706647396, 'model_time':   +  1.912626729812473, 'learning_rate': 1.4425568218633355e-06, 'epoch': 71.55})   +03/14 [21:40:07] INFO  | >> Step 24950, Loss: {'action_dit_loss': 0.000465718621853739, 'data_time': ]8;id=755638;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=945816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001489468850195408, 'model_time': 1.919197085313499, 'learning_rate':   +  1.424787542872171e-06, 'epoch': 71.7})   +03/14 [21:41:45] INFO  | >> Step 25000, Loss: {'action_dit_loss': 0.0008640296291559935, 'mse_score': ]8;id=590996;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=43195;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001093172817490995, 'data_time': 0.000147347804158926, 'model_time':   +  1.9150241240859032, 'learning_rate': 1.407169276719e-06, 'epoch': 71.84})   +03/14 [21:43:23] INFO  | >> Step 25050, Loss: {'action_dit_loss': 0.00044001993956044316, ]8;id=47670;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=994623;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.004079798702150583, 'model_time': 1.9126251391135156,   +  'learning_rate': 1.389702718942804e-06, 'epoch': 71.98})   +03/14 [21:45:01] INFO  | >> Step 25100, Loss: {'action_dit_loss': 0.0006860464345663786, 'mse_score': ]8;id=682759;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=221048;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010870402911677957, 'data_time': 0.002433371264487505, 'model_time':   +  1.9118903931230307, 'learning_rate': 1.3723885590933764e-06, 'epoch': 72.13})   +03/14 [21:46:36] INFO  | >> Step 25150, Loss: {'action_dit_loss': 0.0012350815813988447, 'data_time': ]8;id=670030;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=31757;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001328280195593834, 'model_time': 1.9150115689262748, 'learning_rate':   +  1.3552274807041013e-06, 'epoch': 72.27})   +03/14 [21:48:16] INFO  | >> Step 25200, Loss: {'action_dit_loss': 0.0005257047596387565, 'mse_score': ]8;id=303742;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=673088;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001102670794352889, 'data_time': 0.00014869822189211845, 'model_time':   +  1.9160471679642797, 'learning_rate': 1.3382201612649694e-06, 'epoch': 72.41})   +03/14 [21:49:52] INFO  | >> Step 25250, Loss: {'action_dit_loss': 0.0004910396528430283, 'data_time': ]8;id=846567;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=718264;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016550812870264053, 'model_time': 1.9184928219765425, 'learning_rate':   +  1.3213672721958309e-06, 'epoch': 72.56})   +03/14 [21:51:30] INFO  | >> Step 25300, Loss: {'action_dit_loss': 0.0005395551561377943, 'mse_score': ]8;id=722063;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=62823;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010947425616905093, 'data_time': 0.00406439695507288, 'model_time':   +  1.9146500919014215, 'learning_rate': 1.3046694788198894e-06, 'epoch': 72.7})   +03/14 [21:53:06] INFO  | >> Step 25350, Loss: {'action_dit_loss': 0.0006623460212722421, 'data_time': ]8;id=487002;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=213933;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015285704284906387, 'model_time': 1.9190415129996836, 'learning_rate':   +  1.2881274403374372e-06, 'epoch': 72.84})   +03/14 [21:54:44] INFO  | >> Step 25400, Loss: {'action_dit_loss': 0.0012972793774679303, 'mse_score': ]8;id=903332;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=753258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001069955644197762, 'data_time': 0.0001549758017063141, 'model_time':   +  1.9172529252246022, 'learning_rate': 1.2717418097998271e-06, 'epoch': 72.99})   +03/14 [21:56:20] INFO  | >> Step 25450, Loss: {'action_dit_loss': 0.0005678956513293087, 'data_time': ]8;id=418084;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=137118;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002337416633963585, 'model_time': 1.9194891108199954, 'learning_rate':   +  1.255513234083697e-06, 'epoch': 73.13})   +03/14 [21:57:59] INFO  | >> Step 25500, Loss: {'action_dit_loss': 0.0006120443576946855, 'mse_score': ]8;id=111341;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=334617;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010985941626131534, 'data_time': 0.0017930478788912296, 'model_time':   +  1.917399640660733, 'learning_rate': 1.2394423538654296e-06, 'epoch': 73.28})   +03/14 [21:59:35] INFO  | >> Step 25550, Loss: {'action_dit_loss': 0.00044065818656235933, ]8;id=471435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=259961;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0015382240526378155, 'model_time': 1.9147069957107306,   +  'learning_rate': 1.2235298035958557e-06, 'epoch': 73.42})   +03/14 [22:01:14] INFO  | >> Step 25600, Loss: {'action_dit_loss': 0.0004502607334870845, 'mse_score': ]8;id=991307;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=402810;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010843505151569843, 'data_time': 0.00014478201046586037, 'model_time':   +  1.914544858969748, 'learning_rate': 1.2077762114752142e-06, 'epoch': 73.56})   +03/14 [22:02:50] INFO  | >> Step 25650, Loss: {'action_dit_loss': 0.0005572825903072953, 'data_time': ]8;id=907340;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=946141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016161194071173668, 'model_time': 1.9147330587729812, 'learning_rate':   +  1.1921821994283487e-06, 'epoch': 73.71})   +03/14 [22:04:28] INFO  | >> Step 25700, Loss: {'action_dit_loss': 0.0004800313909072429, 'mse_score': ]8;id=605748;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=756157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010953929740935564, 'data_time': 0.0022759856656193733, 'model_time':   +  1.9148900909349322, 'learning_rate': 1.1767483830801526e-06, 'epoch': 73.85})   +03/14 [22:06:04] INFO  | >> Step 25750, Loss: {'action_dit_loss': 0.0005787599948234856, 'data_time': ]8;id=522469;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=539728;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022007497027516365, 'model_time': 1.9126113299280405, 'learning_rate':   +  1.1614753717312683e-06, 'epoch': 73.99})   +03/14 [22:07:42] INFO  | >> Step 25800, Loss: {'action_dit_loss': 0.000574665202293545, 'mse_score': ]8;id=521530;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=24302;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010892655700445175, 'data_time': 0.0001565711572766304, 'model_time':   +  1.9204011890105903, 'learning_rate': 1.1463637683340325e-06, 'epoch': 74.14})   +03/14 [22:09:19] INFO  | >> Step 25850, Loss: {'action_dit_loss': 0.000617829617112875, 'data_time': ]8;id=479441;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=252422;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0037702610716223717, 'model_time': 1.917343239299953, 'learning_rate':   +  1.1314141694686724e-06, 'epoch': 74.28})   +03/14 [22:10:57] INFO  | >> Step 25900, Loss: {'action_dit_loss': 0.00042113286326639354, ]8;id=52995;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=295023;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'mse_score': 0.00011161883594468236, 'data_time': 0.00015184003859758377,   +  'model_time': 1.9114916953258216, 'learning_rate': 1.116627165319753e-06,   +  'epoch': 74.43})   +03/14 [22:12:33] INFO  | >> Step 25950, Loss: {'action_dit_loss': 0.000534905178938061, 'data_time': ]8;id=686041;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=705188;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016856985166668892, 'model_time': 1.913030399940908, 'learning_rate':   +  1.1020033396528804e-06, 'epoch': 74.57})   +03/14 [22:14:11] INFO  | >> Step 26000, Loss: {'action_dit_loss': 0.0005576512194238603, 'mse_score': ]8;id=888324;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=112718;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010809245286509394, 'data_time': 0.00016042031347751617, 'model_time':   +  1.9123818851076066, 'learning_rate': 1.0875432697916492e-06, 'epoch': 74.71})   +03/14 [22:15:47] INFO  | >> Step 26050, Loss: {'action_dit_loss': 0.0006993054412305355, 'data_time': ]8;id=762847;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=383545;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001695500686764717, 'model_time': 1.9179434389807284, 'learning_rate':   +  1.0732475265948585e-06, 'epoch': 74.86})   +03/14 [22:17:25] INFO  | >> Step 26100, Loss: {'action_dit_loss': 0.000489381025545299, 'mse_score': ]8;id=420040;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=53642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010591003810986877, 'data_time': 0.0026163016445934772, 'model_time':   +  1.9178086840547621, 'learning_rate': 1.0591166744339725e-06, 'epoch': 75.0})   +03/14 [22:19:02] INFO  | >> Step 26150, Loss: {'action_dit_loss': 0.10407235473394394, 'data_time': ]8;id=580096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=302620;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016318121924996376, 'model_time': 1.917000759858638, 'learning_rate':   +  1.045151271170838e-06, 'epoch': 75.14})   +03/14 [22:20:41] INFO  | >> Step 26200, Loss: {'action_dit_loss': 0.0004445990489330143, 'mse_score': ]8;id=801535;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=576566;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010260278359055519, 'data_time': 0.0014610402286052704, 'model_time':   +  1.9127968829125166, 'learning_rate': 1.0313518681356638e-06, 'epoch': 75.29})   +03/14 [22:22:17] INFO  | >> Step 26250, Loss: {'action_dit_loss': 0.0005288555403240025, 'data_time': ]8;id=640725;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=124582;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0017933300696313381, 'model_time': 1.9116518748924136, 'learning_rate':   +  1.017719010105253e-06, 'epoch': 75.43})   +03/14 [22:23:55] INFO  | >> Step 26300, Loss: {'action_dit_loss': 0.00048615713603794575, ]8;id=833510;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=355556;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'mse_score': 0.00010974782053381204, 'data_time': 0.0013856091536581516,   +  'model_time': 1.9141407837159932, 'learning_rate': 1.0042532352814972e-06,   +  'epoch': 75.57})   +03/14 [22:25:31] INFO  | >> Step 26350, Loss: {'action_dit_loss': 0.0003952925035264343, 'data_time': ]8;id=151275;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=208727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015228688716888428, 'model_time': 1.91326534608379, 'learning_rate':   +  9.909550752701297e-07, 'epoch': 75.72})   +03/14 [22:27:09] INFO  | >> Step 26400, Loss: {'action_dit_loss': 0.0003908856597263366, 'mse_score': ]8;id=42210;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=47504;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00011202768655493855, 'data_time': 0.0013298699632287025, 'model_time':   +  2.1683821249753237, 'learning_rate': 9.778250550597373e-07, 'epoch': 75.86})   +03/14 [22:28:46] INFO  | >> Step 26450, Loss: {'action_dit_loss': 0.00037995842285454273, ]8;id=843019;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=496756;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014903810806572437, 'model_time': 1.9115765001624823,   +  'learning_rate': 9.64863693001037e-07, 'epoch': 76.01})   +03/14 [22:30:24] INFO  | >> Step 26500, Loss: {'action_dit_loss': 0.000650758680421859, 'mse_score': ]8;id=936516;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=540546;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001084845163859427, 'data_time': 0.0014203861355781555, 'model_time':   +  1.9125049230642617, 'learning_rate': 9.520715007864082e-07, 'epoch': 76.15})   +03/14 [22:32:01] INFO  | >> Step 26550, Loss: {'action_dit_loss': 0.0006760606775060296, 'data_time': ]8;id=334002;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=170395;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016004778444766998, 'model_time': 1.9126724563539028, 'learning_rate':   +  9.394489834296948e-07, 'epoch': 76.29})   +03/14 [22:33:39] INFO  | >> Step 26600, Loss: {'action_dit_loss': 0.004999086260795593, 'mse_score': ]8;id=313769;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=622565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010900783818215131, 'data_time': 0.00015438813716173172, 'model_time':   +  1.9152232608757913, 'learning_rate': 9.269966392462707e-07, 'epoch': 76.44})   +03/14 [22:35:14] INFO  | >> Step 26650, Loss: {'action_dit_loss': 0.0006674295873381197, 'data_time': ]8;id=558198;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=513641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00408316170796752, 'model_time': 1.9108912209048867, 'learning_rate':   +  9.147149598333618e-07, 'epoch': 76.58})   +03/14 [22:36:52] INFO  | >> Step 26700, Loss: {'action_dit_loss': 0.000451624218840152, 'mse_score': ]8;id=855374;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=17445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010903176153078675, 'data_time': 0.0001605781726539135, 'model_time':   +  1.9120632368139923, 'learning_rate': 9.026044300506418e-07, 'epoch': 76.72})   +03/14 [22:38:28] INFO  | >> Step 26750, Loss: {'action_dit_loss': 0.0005016191280446947, 'data_time': ]8;id=436774;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=612056;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001869402825832367, 'model_time': 1.9118720148690045, 'learning_rate':   +  8.906655280010895e-07, 'epoch': 76.87})   +03/14 [22:40:06] INFO  | >> Step 26800, Loss: {'action_dit_loss': 0.00042891636257991195, ]8;id=914462;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=721466;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'mse_score': 0.00010991054587066174, 'data_time': 0.00015965895727276802,   +  'model_time': 1.915429085958749, 'learning_rate': 8.788987250121157e-07,   +  'epoch': 77.01})   +03/14 [22:41:42] INFO  | >> Step 26850, Loss: {'action_dit_loss': 0.0005305397207848728, 'data_time': ]8;id=278428;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=687436;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015786895528435707, 'model_time': 1.9130797861143947, 'learning_rate':   +  8.673044856169543e-07, 'epoch': 77.16})   +03/14 [22:43:21] INFO  | >> Step 26900, Loss: {'action_dit_loss': 0.00045403727563098073, ]8;id=238596;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=756442;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'mse_score': 0.00010592920007184148, 'data_time': 0.0026784208603203297,   +  'model_time': 1.9141701739281416, 'learning_rate': 8.558832675363249e-07,   +  'epoch': 77.3})   +03/14 [22:44:57] INFO  | >> Step 26950, Loss: {'action_dit_loss': 0.0005163484602235258, 'data_time': ]8;id=549697;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=659580;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014882907271385193, 'model_time': 1.9218250876292586, 'learning_rate':   +  8.44635521660359e-07, 'epoch': 77.44})   +03/14 [22:46:35] INFO  | >> Step 27000, Loss: {'action_dit_loss': 0.000490848789922893, 'mse_score': ]8;id=398658;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=154954;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010857104789465665, 'data_time': 0.0015906901098787785, 'model_time':   +  1.9115470671094954, 'learning_rate': 8.335616920308061e-07, 'epoch': 77.59})   +03/14 [22:48:11] INFO  | >> Step 27050, Loss: {'action_dit_loss': 0.0003416937543079257, 'data_time': ]8;id=600383;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=994265;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023342547938227654, 'model_time': 1.9122396111488342, 'learning_rate':   +  8.226622158234981e-07, 'epoch': 77.73})   +03/14 [22:49:49] INFO  | >> Step 27100, Loss: {'action_dit_loss': 0.0005325397942215204, 'mse_score': ]8;id=462462;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=328930;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00010682373540475965, 'data_time': 0.0015516113489866257, 'model_time':   +  1.9164756322279572, 'learning_rate': 8.119375233310929e-07, 'epoch': 77.87})   +03/14 [22:51:25] INFO  | >> Step 27150, Loss: {'action_dit_loss': 0.0004723076708614826, 'data_time': ]8;id=213795;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=430311;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002300526946783066, 'model_time': 1.9136759568937123, 'learning_rate':   +  8.013880379460868e-07, 'epoch': 78.02})   +03/14 [22:53:03] INFO  | >> Step 27200, Loss: {'action_dit_loss': 0.00048523678560741246, ]8;id=494514;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=915215;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'mse_score': 0.0001090184086933732, 'data_time': 0.0003094179555773735,   +  'model_time': 1.915465233847499, 'learning_rate': 7.910141761440982e-07,   +  'epoch': 78.16})   +03/14 [22:54:40] INFO  | >> Step 27250, Loss: {'action_dit_loss': 0.0005525482702068985, 'data_time': ]8;id=740058;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=144789;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023894570767879486, 'model_time': 1.9152457229793072, 'learning_rate': 7.808163474674291e-07,   +  'epoch': 78.3})   +03/14 [22:56:18] INFO  | >> Step 27300, Loss: {'action_dit_loss': 0.0004342832835391164, 'mse_score': ]8;id=694395;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=501608;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00011153296800330282, 'data_time': 0.0014643226750195026, 'model_time': 1.9128792718984187,   +  'learning_rate': 7.707949545088936e-07, 'epoch': 78.45})   +03/14 [22:57:54] INFO  | >> Step 27350, Loss: {'action_dit_loss': 0.45014020800590515, 'data_time': ]8;id=481992;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=956431;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014459993690252304, 'model_time': 1.91593374684453, 'learning_rate':   +  7.609503928959278e-07, 'epoch': 78.59})   +03/14 [22:59:32] INFO  | >> Step 27400, Loss: {'action_dit_loss': 0.00045528437476605177, ]8;id=708699;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=809489;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'mse_score': 0.00010670707561075688, 'data_time': 0.00014988891780376434,   +  'model_time': 1.9140157788060606, 'learning_rate': 7.512830512749649e-07,   +  'epoch': 78.74})   +03/14 [23:01:08] INFO  | >> Step 27450, Loss: {'action_dit_loss': 0.0004547362623270601, 'data_time': ]8;id=842690;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=726991;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016953232698142529, 'model_time': 1.9122739774174988, 'learning_rate':   +  7.417933112961012e-07, 'epoch': 78.88})   diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_081115-do490bua/files/requirements.txt b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_081115-do490bua/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..33491c4b7fdcd2a21a3c18e0df523fddefb31ef2 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_081115-do490bua/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 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b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_231623-3mz29zso/files/output.log @@ -0,0 +1,747 @@ +03/14 [23:16:24] INFO  | >> ***** Training Configuration ***** ]8;id=935518;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=571858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#341\341]8;;\ +  INFO  | >> Total optimization steps = 30000 ]8;id=98246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=229258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#342\342]8;;\ +  INFO  | >> Per device batch size = 8 ]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#343\343]8;;\ +  INFO  | >> Gradient accumulation steps = 1 ]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#344\344]8;;\ +  INFO  | >> Total batch size = 64 ]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#345\345]8;;\ + 2%|▉ | 650/30000 [21:05<15:38:29, 1.92s/it, data_times=0.002, model_times=1.916] +03/14 [23:18:02] INFO  | >> Step 50, Loss: {'action_dit_loss': 4.932868003845215, 'data_time': ]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#253\253]8;;\ +  0.00019782595336437225, 'model_time': 1.9121418111026287, 'learning_rate':   +  1.0000000000000001e-07, 'epoch': 0.12})   +03/14 [23:19:40] INFO  | >> Step 100, Loss: {'action_dit_loss': 2.8220205307006836, 'mse_score': 0.016095346212387084, 'data_time': ]8;id=101414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=376417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.004177346359938383, 'model_time': 1.9255501301959157, 'learning_rate': 2.0000000000000002e-07, 'epoch':   +  0.24})   +03/14 [23:21:17] INFO  | >> Step 150, Loss: {'action_dit_loss': 2.4590036869049072, 'data_time': 0.0001871068961918354, ]8;id=846335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=45561;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.923641491215676, 'learning_rate': 3.0000000000000004e-07, 'epoch': 0.36})   +03/14 [23:22:55] INFO  | >> Step 200, Loss: {'action_dit_loss': 2.3658573627471924, 'mse_score': 0.014630474150180817, 'data_time': ]8;id=967096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=396922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003437018021941185, 'model_time': 1.9126935810782015, 'learning_rate': 4.0000000000000003e-07, 'epoch':   +  0.49})   +03/14 [23:24:31] INFO  | >> Step 250, Loss: {'action_dit_loss': 2.364863395690918, 'data_time': 0.003384500276297331, 'model_time': ]8;id=659176;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=648564;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9156342255882919, 'learning_rate': 5.000000000000001e-07, 'epoch': 0.61})   +03/14 [23:26:10] INFO  | >> Step 300, Loss: {'action_dit_loss': 2.142446994781494, 'mse_score': 0.0172263965010643, 'data_time': ]8;id=201629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=738797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000165657140314579, 'model_time': 1.9196889568120241, 'learning_rate': 6.000000000000001e-07, 'epoch':   +  0.73})   +03/14 [23:27:46] INFO  | >> Step 350, Loss: {'action_dit_loss': 1.847940444946289, 'data_time': 0.0019763167947530746, 'model_time': ]8;id=810620;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=303445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9182234071195126, 'learning_rate': 7.000000000000001e-07, 'epoch': 0.85})   +03/14 [23:29:24] INFO  | >> Step 400, Loss: {'action_dit_loss': 1.9991146326065063, 'mse_score': 0.016943804919719696, 'data_time': ]8;id=105907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=398591;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00018662679940462112, 'model_time': 1.9158465042710304, 'learning_rate': 8.000000000000001e-07, 'epoch':   +  0.97})   +03/14 [23:31:01] INFO  | >> Step 450, Loss: {'action_dit_loss': 2.118283748626709, 'data_time': 0.0017906110733747482, 'model_time': ]8;id=382554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=170555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9155026590451598, 'learning_rate': 9.000000000000001e-07, 'epoch': 1.09})   +03/14 [23:32:40] INFO  | >> Step 500, Loss: {'action_dit_loss': 2.322672128677368, 'mse_score': 0.014961710572242737, 'data_time': ]8;id=279946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=735911;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002556589897722006, 'model_time': 1.9157807710580528, 'learning_rate': 1.0000000000000002e-06, 'epoch':   +  1.21})   +03/14 [23:34:16] INFO  | >> Step 550, Loss: {'action_dit_loss': 1.762712836265564, 'data_time': 0.00018144678324460983, ]8;id=638720;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=665822;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9189976346679032, 'learning_rate': 1.1e-06, 'epoch': 1.33})   +03/14 [23:35:54] INFO  | >> Step 600, Loss: {'action_dit_loss': 2.079441547393799, 'mse_score': 0.008254443854093551, 'data_time': ]8;id=171339;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=484714;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015545189380645752, 'model_time': 1.9224181221798062, 'learning_rate': 1.2000000000000002e-06, 'epoch':   +  1.46})   +03/14 [23:37:30] INFO  | >> Step 650, Loss: {'action_dit_loss': 1.2602899074554443, 'data_time': 0.002257348969578743, 'model_time': ]8;id=721590;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=584004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9157252190634608, 'learning_rate': 1.3e-06, 'epoch': 1.58})   +03/14 [23:39:08] INFO  | >> Step 700, Loss: {'action_dit_loss': 1.3401050567626953, 'mse_score': 0.0053356591612100605, 'data_time': ]8;id=805635;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=813694;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017378106713294983, 'model_time': 1.923907603137195, 'learning_rate': 1.4000000000000001e-06, 'epoch':   +  1.7})   +03/14 [23:40:44] INFO  | >> Step 750, Loss: {'action_dit_loss': 1.7420635223388672, 'data_time': 0.00322158494964242, 'model_time': ]8;id=844151;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=330776;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9173689247108996, 'learning_rate': 1.5e-06, 'epoch': 1.82})   +03/14 [23:42:22] INFO  | >> Step 800, Loss: {'action_dit_loss': 1.4091795682907104, 'mse_score': 0.005793666094541549, 'data_time': ]8;id=957492;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=988712;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00023687072098255157, 'model_time': 1.9223357220180333, 'learning_rate': 1.6000000000000001e-06, 'epoch':   +  1.94})   +03/14 [23:43:59] INFO  | >> Step 850, Loss: {'action_dit_loss': 1.3489246368408203, 'data_time': 0.00018916698172688484, ]8;id=222955;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=687277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.914707665797323, 'learning_rate': 1.7000000000000002e-06, 'epoch': 2.06})   +03/14 [23:45:38] INFO  | >> Step 900, Loss: {'action_dit_loss': 1.6163488626480103, 'mse_score': 0.004478345811367035, 'data_time': ]8;id=674079;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=481141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016200891695916653, 'model_time': 1.917763966601342, 'learning_rate': 1.8000000000000001e-06, 'epoch':   +  2.18})   +03/14 [23:47:14] INFO  | >> Step 950, Loss: {'action_dit_loss': 1.6228258609771729, 'data_time': 0.00017908494919538498, ]8;id=781177;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=588637;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9197669099085033, 'learning_rate': 1.9000000000000002e-06, 'epoch': 2.31})   +03/14 [23:48:52] INFO  | >> Step 1000, Loss: {'action_dit_loss': 1.12918221950531, 'mse_score': 0.00362238846719265, 'data_time': ]8;id=449245;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=941435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0033374293707311153, 'model_time': 1.9132894910871983, 'learning_rate': 2.0000000000000003e-06, 'epoch':   +  2.43})   +03/14 [23:50:28] INFO  | >> Step 1050, Loss: {'action_dit_loss': 1.1442466974258423, 'data_time': 0.0014945161528885365, ]8;id=145051;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=534277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9152270485647023, 'learning_rate': 2.1000000000000002e-06, 'epoch': 2.55})   +03/14 [23:52:06] INFO  | >> Step 1100, Loss: {'action_dit_loss': 1.5029959678649902, 'mse_score': 0.003851959854364395, 'data_time': ]8;id=902931;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=114975;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016950257122516632, 'model_time': 1.917497267946601, 'learning_rate': 2.2e-06, 'epoch': 2.67})   +03/14 [23:53:42] INFO  | >> Step 1150, Loss: {'action_dit_loss': 1.7449116706848145, 'data_time': 0.0031154858879745007, ]8;id=713536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=442666;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9141304078511894, 'learning_rate': 2.3000000000000004e-06, 'epoch': 2.79})   +03/14 [23:55:20] INFO  | >> Step 1200, Loss: {'action_dit_loss': 1.1840920448303223, 'mse_score': 0.003447256237268448, 'data_time': ]8;id=624834;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=490785;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001722807064652443, 'model_time': 1.9156161807477474, 'learning_rate': 2.4000000000000003e-06, 'epoch':   +  2.91})   +03/14 [23:56:58] INFO  | >> Step 1250, Loss: {'action_dit_loss': 1.2930490970611572, 'data_time': 0.0026361909694969654, ]8;id=988210;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=12038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9132316359318793, 'learning_rate': 2.5e-06, 'epoch': 3.03})   +03/14 [23:58:36] INFO  | >> Step 1300, Loss: {'action_dit_loss': 1.1791164875030518, 'mse_score': 0.004975181072950363, 'data_time': ]8;id=927767;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=563054;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0018338710069656372, 'model_time': 1.9174112500622869, 'learning_rate': 2.6e-06, 'epoch': 3.16})   +03/15 [00:00:13] INFO  | >> Step 1350, Loss: {'action_dit_loss': 1.0077013969421387, 'data_time': 0.002392543014138937, ]8;id=356699;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=116970;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9222865919582546, 'learning_rate': 2.7000000000000004e-06, 'epoch': 3.28})   +03/15 [00:01:51] INFO  | >> Step 1400, Loss: {'action_dit_loss': 1.4851093292236328, 'mse_score': 0.004439909756183624, 'data_time': ]8;id=3402;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=757168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00021958071738481522, 'model_time': 1.916004033293575, 'learning_rate': 2.8000000000000003e-06, 'epoch':   +  3.4})   +03/15 [00:03:27] INFO  | >> Step 1450, Loss: {'action_dit_loss': 1.427677035331726, 'data_time': 0.0016021463088691235, ]8;id=798975;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=187330;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9165175179950893, 'learning_rate': 2.9e-06, 'epoch': 3.52})   +03/15 [00:05:05] INFO  | >> Step 1500, Loss: {'action_dit_loss': 1.3076528310775757, 'mse_score': 0.004692326858639717, 'data_time': ]8;id=655674;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=312942;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023647062480449677, 'model_time': 1.9117078315466642, 'learning_rate': 3e-06, 'epoch': 3.64})   +03/15 [00:06:41] INFO  | >> Step 1550, Loss: {'action_dit_loss': 1.4135282039642334, 'data_time': 0.00017697131261229515, ]8;id=208573;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=160263;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9175406089052558, 'learning_rate': 3.1000000000000004e-06, 'epoch': 3.76})   +03/15 [00:08:19] INFO  | >> Step 1600, Loss: {'action_dit_loss': 1.1837916374206543, 'mse_score': 0.004378748685121536, 'data_time': ]8;id=999816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=816449;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001457122154533863, 'model_time': 1.9159510456956923, 'learning_rate': 3.2000000000000003e-06, 'epoch':   +  3.88})   +03/15 [00:09:57] INFO  | >> Step 1650, Loss: {'action_dit_loss': 1.0126495361328125, 'data_time': 0.00018790503963828087, ]8;id=628038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=339902;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.917352274991572, 'learning_rate': 3.3000000000000006e-06, 'epoch': 4.0})   +03/15 [00:11:35] INFO  | >> Step 1700, Loss: {'action_dit_loss': 1.0478582382202148, 'mse_score': 0.003550056740641594, 'data_time': ]8;id=380612;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=921406;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0024037850089371204, 'model_time': 1.9257183521986008, 'learning_rate': 3.4000000000000005e-06, 'epoch':   +  4.13})   +03/15 [00:13:11] INFO  | >> Step 1750, Loss: {'action_dit_loss': 1.2067762613296509, 'data_time': 0.0025359997525811195, ]8;id=60738;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=252572;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9191723526455462, 'learning_rate': 3.5e-06, 'epoch': 4.25})   +03/15 [00:14:49] INFO  | >> Step 1800, Loss: {'action_dit_loss': 1.3056279420852661, 'mse_score': 0.002496788278222084, 'data_time': ]8;id=89814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=767460;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0017316509038209915, 'model_time': 1.915326020680368, 'learning_rate': 3.6000000000000003e-06, 'epoch':   +  4.37})   +03/15 [00:16:25] INFO  | >> Step 1850, Loss: {'action_dit_loss': 0.9126967787742615, 'data_time': 0.002411564812064171, ]8;id=558582;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=803035;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9239067151211202, 'learning_rate': 3.7e-06, 'epoch': 4.49})   +03/15 [00:18:03] INFO  | >> Step 1900, Loss: {'action_dit_loss': 1.2908282279968262, 'mse_score': 0.0045695707201957704, ]8;id=992842;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=576510;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001695980317890644, 'model_time': 1.9182289079762995, 'learning_rate':   +  3.8000000000000005e-06, 'epoch': 4.61})   +03/15 [00:19:39] INFO  | >> Step 1950, Loss: {'action_dit_loss': 1.422386646270752, 'data_time': 0.00016389787197113037, ]8;id=636059;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=443692;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9158706148155034, 'learning_rate': 3.900000000000001e-06, 'epoch': 4.73})   +03/15 [00:21:17] INFO  | >> Step 2000, Loss: {'action_dit_loss': 0.9603124856948853, 'mse_score': 0.0020259762182831763, ]8;id=765388;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=723378;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0025407839566469193, 'model_time': 1.9170984509401023, 'learning_rate': 4.000000000000001e-06,   +  'epoch': 4.85})   +03/15 [00:22:54] INFO  | >> Step 2050, Loss: {'action_dit_loss': 1.2908415794372559, 'data_time': 0.0023330003023147583, ]8;id=704314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=681446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9192128647118807, 'learning_rate': 4.1e-06, 'epoch': 4.98})   +03/15 [00:24:33] INFO  | >> Step 2100, Loss: {'action_dit_loss': 1.1335444450378418, 'mse_score': 0.0045600470155477526, ]8;id=473417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=126882;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.001571526750922203, 'model_time': 1.9180790558457375, 'learning_rate': 4.2000000000000004e-06,   +  'epoch': 5.1})   +03/15 [00:26:09] INFO  | >> Step 2150, Loss: {'action_dit_loss': 1.1623692512512207, 'data_time': 0.0016494491137564182, ]8;id=22056;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=616886;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9134376221336424, 'learning_rate': 4.3e-06, 'epoch': 5.22})   +03/15 [00:27:47] INFO  | >> Step 2200, Loss: {'action_dit_loss': 1.3886467218399048, 'mse_score': 0.0031727313995361327, ]8;id=7540;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=74441;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.001643650233745575, 'model_time': 1.9130008961074054, 'learning_rate': 4.4e-06, 'epoch':   +  5.34})   +03/15 [00:29:23] INFO  | >> Step 2250, Loss: {'action_dit_loss': 1.4081065654754639, 'data_time': 0.0015910998918116093, ]8;id=70674;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=949401;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9150079577229917, 'learning_rate': 4.5e-06, 'epoch': 5.46})   +03/15 [00:31:01] INFO  | >> Step 2300, Loss: {'action_dit_loss': 1.0697169303894043, 'mse_score': 0.002434103563427925, 'data_time': ]8;id=539131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=249565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016387701034545898, 'model_time': 1.9122827560640872, 'learning_rate': 4.600000000000001e-06, 'epoch':   +  5.58})   +03/15 [00:32:37] INFO  | >> Step 2350, Loss: {'action_dit_loss': 1.254714012145996, 'data_time': 0.0015771621838212013, ]8;id=565427;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=138739;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9138261480256915, 'learning_rate': 4.7e-06, 'epoch': 5.7})   +03/15 [00:34:15] INFO  | >> Step 2400, Loss: {'action_dit_loss': 1.1279351711273193, 'mse_score': 0.002932138554751873, 'data_time': ]8;id=604201;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=495631;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0016501420177519321, 'model_time': 1.914684556890279, 'learning_rate': 4.800000000000001e-06, 'epoch':   +  5.83})   +03/15 [00:35:52] INFO  | >> Step 2450, Loss: {'action_dit_loss': 1.0472383499145508, 'data_time': 0.00021558860316872597, ]8;id=426833;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=199659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9191464032046497, 'learning_rate': 4.9000000000000005e-06, 'epoch': 5.95})   +03/15 [00:37:30] INFO  | >> Step 2500, Loss: {'action_dit_loss': 0.9464204907417297, 'mse_score': 0.0036033142358064653, ]8;id=371507;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=444154;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0033938041888177395, 'model_time': 1.9144593197852373, 'learning_rate': 5e-06, 'epoch': 6.07})   +03/15 [00:39:06] INFO  | >> Step 2550, Loss: {'action_dit_loss': 1.4933711290359497, 'data_time': 0.00018335925415158272, ]8;id=56802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=706073;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9165467899292707, 'learning_rate': 5.1e-06, 'epoch': 6.19})   +03/15 [00:40:44] INFO  | >> Step 2600, Loss: {'action_dit_loss': 1.504143238067627, 'mse_score': 0.004378015547990799, 'data_time': ]8;id=422179;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=763587;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022521698847413063, 'model_time': 1.916882447898388, 'learning_rate': 5.2e-06, 'epoch': 6.31})   +03/15 [00:42:21] INFO  | >> Step 2650, Loss: {'action_dit_loss': 0.7309713363647461, 'data_time': 0.0038750041276216507, ]8;id=260735;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=200896;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.915506815072149, 'learning_rate': 5.300000000000001e-06, 'epoch': 6.43})   +03/15 [00:43:59] INFO  | >> Step 2700, Loss: {'action_dit_loss': 1.0143426656723022, 'mse_score': 0.0013590235263109206, ]8;id=442374;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=192401;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017422577366232872, 'model_time': 1.918267329223454, 'learning_rate': 5.400000000000001e-06,   +  'epoch': 6.55})   +03/15 [00:45:35] INFO  | >> Step 2750, Loss: {'action_dit_loss': 1.378786563873291, 'data_time': 0.0015611452981829643, ]8;id=968114;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=79046;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9192853360436857, 'learning_rate': 5.500000000000001e-06, 'epoch': 6.67})   +03/15 [00:47:13] INFO  | >> Step 2800, Loss: {'action_dit_loss': 1.2870503664016724, 'mse_score': 0.0016484260559082031, ]8;id=577057;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=102664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001799403689801693, 'model_time': 1.915559260174632, 'learning_rate': 5.600000000000001e-06,   +  'epoch': 6.8})   +03/15 [00:48:49] INFO  | >> Step 2850, Loss: {'action_dit_loss': 1.0204908847808838, 'data_time': 0.00014470284804701805, ]8;id=15474;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=97793;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.91357176983729, 'learning_rate': 5.7e-06, 'epoch': 6.92})   +03/15 [00:50:29] INFO  | >> Step 2900, Loss: {'action_dit_loss': 0.7955126762390137, 'mse_score': 0.00569520890712738, 'data_time': ]8;id=174389;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=426156;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003475737292319536, 'model_time': 1.9169617709703743, 'learning_rate': 5.8e-06, 'epoch': 7.04})   +03/15 [00:52:05] INFO  | >> Step 2950, Loss: {'action_dit_loss': 0.8348001837730408, 'data_time': 0.00016017397865653038, ]8;id=420521;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=946279;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.914822970982641, 'learning_rate': 5.9e-06, 'epoch': 7.16})   +03/15 [00:53:43] INFO  | >> Step 3000, Loss: {'action_dit_loss': 1.3632831573486328, 'mse_score': 0.002299884706735611, 'data_time': ]8;id=409386;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=278085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00018270406872034073, 'model_time': 1.9226817600429058, 'learning_rate': 6e-06, 'epoch': 7.28})   +03/15 [00:55:19] INFO  | >> Step 3050, Loss: {'action_dit_loss': 1.0944546461105347, 'data_time': 0.003955960273742676, ]8;id=299105;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=443555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9171224031597376, 'learning_rate': 6.1e-06, 'epoch': 7.4})   +03/15 [00:56:57] INFO  | >> Step 3100, Loss: {'action_dit_loss': 0.8271864652633667, 'mse_score': 0.002866790071129799, 'data_time': ]8;id=694022;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=753305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016466481611132622, 'model_time': 1.9168825740925968, 'learning_rate': 6.200000000000001e-06, 'epoch':   +  7.52})   +03/15 [00:58:33] INFO  | >> Step 3150, Loss: {'action_dit_loss': 1.392848014831543, 'data_time': 0.0001698560081422329, ]8;id=228275;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=61324;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.915318685118109, 'learning_rate': 6.300000000000001e-06, 'epoch': 7.65})   +03/15 [01:00:12] INFO  | >> Step 3200, Loss: {'action_dit_loss': 0.9876077175140381, 'mse_score': 0.003028145059943199, 'data_time': ]8;id=784309;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=328838;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017783604562282562, 'model_time': 1.915382365230471, 'learning_rate': 6.4000000000000006e-06, 'epoch':   +  7.77})   +03/15 [01:01:48] INFO  | >> Step 3250, Loss: {'action_dit_loss': 1.0613954067230225, 'data_time': 0.002260012086480856, ]8;id=527276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=964047;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9148263251408935, 'learning_rate': 6.5000000000000004e-06, 'epoch': 7.89})   +03/15 [01:03:27] INFO  | >> Step 3300, Loss: {'action_dit_loss': 0.5734351873397827, 'mse_score': 0.0029253924265503885, ]8;id=532496;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=84002;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.004703186918050051, 'model_time': 1.9171804692596197, 'learning_rate': 6.600000000000001e-06,   +  'epoch': 8.01})   +03/15 [01:05:03] INFO  | >> Step 3350, Loss: {'action_dit_loss': 0.8494112491607666, 'data_time': 0.00018117716535925865, ]8;id=71262;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=708011;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9155256203375757, 'learning_rate': 6.700000000000001e-06, 'epoch': 8.13})   +03/15 [01:06:41] INFO  | >> Step 3400, Loss: {'action_dit_loss': 1.281541109085083, 'mse_score': 0.004431714117527008, 'data_time': ]8;id=987335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=933533;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017325719818472862, 'model_time': 1.9184710779227316, 'learning_rate': 6.800000000000001e-06, 'epoch':   +  8.25})   +03/15 [01:08:18] INFO  | >> Step 3450, Loss: {'action_dit_loss': 1.1532140970230103, 'data_time': 0.004049411974847317, ]8;id=41672;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=649468;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9131405246444046, 'learning_rate': 6.9e-06, 'epoch': 8.37})   +03/15 [01:09:56] INFO  | >> Step 3500, Loss: {'action_dit_loss': 0.8988069891929626, 'mse_score': 0.0021980592980980875, ]8;id=592683;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=548177;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017440691590309143, 'model_time': 1.914974810089916, 'learning_rate': 7e-06, 'epoch': 8.5})   +03/15 [01:11:32] INFO  | >> Step 3550, Loss: {'action_dit_loss': 1.1018644571304321, 'data_time': 0.00020029721781611443, ]8;id=702258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=750981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9167283168062568, 'learning_rate': 7.100000000000001e-06, 'epoch': 8.62})   +03/15 [01:13:11] INFO  | >> Step 3600, Loss: {'action_dit_loss': 1.0378010272979736, 'mse_score': 0.0018016945570707322, ]8;id=137235;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=704318;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017256662249565125, 'model_time': 1.915425905957818, 'learning_rate':   +  7.2000000000000005e-06, 'epoch': 8.74})   +03/15 [01:14:47] INFO  | >> Step 3650, Loss: {'action_dit_loss': 1.3348495960235596, 'data_time': 0.00019017700105905533, ]8;id=974146;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=788387;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9149549580179155, 'learning_rate': 7.3e-06, 'epoch': 8.86})   +03/15 [01:16:26] INFO  | >> Step 3700, Loss: {'action_dit_loss': 0.9680638909339905, 'mse_score': 0.002105621248483658, 'data_time': ]8;id=651332;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=590341;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015651867724955082, 'model_time': 1.9196967342868447, 'learning_rate': 7.4e-06, 'epoch': 8.98})   +03/15 [01:18:02] INFO  | >> Step 3750, Loss: {'action_dit_loss': 1.0503138303756714, 'data_time': 0.00015620188787579536, ]8;id=530458;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=278082;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9172351290471852, 'learning_rate': 7.500000000000001e-06, 'epoch': 9.1})   +03/15 [01:19:41] INFO  | >> Step 3800, Loss: {'action_dit_loss': 0.8764646649360657, 'mse_score': 0.0025117674842476843, ]8;id=72132;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=921981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0024850312620401382, 'model_time': 1.9094276707619429, 'learning_rate': 7.600000000000001e-06,   +  'epoch': 9.22})   +03/15 [01:21:16] INFO  | >> Step 3850, Loss: {'action_dit_loss': 0.9140558242797852, 'data_time': 0.0023829578422009945, ]8;id=459469;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=874244;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9193118987604976, 'learning_rate': 7.7e-06, 'epoch': 9.34})   +03/15 [01:22:55] INFO  | >> Step 3900, Loss: {'action_dit_loss': 0.9073178768157959, 'mse_score': 0.0020500389859080316, ]8;id=846305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=685743;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015469687059521675, 'model_time': 1.9169244156219065, 'learning_rate':   +  7.800000000000002e-06, 'epoch': 9.47})   +03/15 [01:24:30] INFO  | >> Step 3950, Loss: {'action_dit_loss': 1.0860469341278076, 'data_time': 0.00016575586050748825, ]8;id=581542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=313921;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9181301780045033, 'learning_rate': 7.9e-06, 'epoch': 9.59})   +03/15 [01:26:09] INFO  | >> Step 4000, Loss: {'action_dit_loss': 0.9958527088165283, 'mse_score': 0.0012100893072783947, ]8;id=920782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=140814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002524829935282469, 'model_time': 1.9154899059794843, 'learning_rate': 8.000000000000001e-06,   +  'epoch': 9.71})   +03/15 [01:27:45] INFO  | >> Step 4050, Loss: {'action_dit_loss': 1.0599095821380615, 'data_time': 0.00016612373292446136, ]8;id=778480;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=580097;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9139834670349956, 'learning_rate': 8.1e-06, 'epoch': 9.83})   +03/15 [01:29:25] INFO  | >> Step 4100, Loss: {'action_dit_loss': 0.7599987983703613, 'mse_score': 0.0029017489403486254, ]8;id=220861;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=752470;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0024287449195981026, 'model_time': 1.9182937717996538, 'learning_rate': 8.2e-06, 'epoch':   +  9.95})   +03/15 [01:31:01] INFO  | >> Step 4150, Loss: {'action_dit_loss': 0.8049347400665283, 'data_time': 0.0015153479762375355, ]8;id=894343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=276807;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9157625338993967, 'learning_rate': 8.3e-06, 'epoch': 10.07})   +03/15 [01:32:39] INFO  | >> Step 4200, Loss: {'action_dit_loss': 0.9387732744216919, 'mse_score': 0.0018738837912678718, ]8;id=952273;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=887204;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015638163313269615, 'model_time': 1.9145902739837766, 'learning_rate':   +  8.400000000000001e-06, 'epoch': 10.19})   +03/15 [01:34:15] INFO  | >> Step 4250, Loss: {'action_dit_loss': 0.8268595933914185, 'data_time': 0.0015981420874595642, ]8;id=869634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=290120;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9198537659831345, 'learning_rate': 8.5e-06, 'epoch': 10.32})   +03/15 [01:35:54] INFO  | >> Step 4300, Loss: {'action_dit_loss': 1.0500439405441284, 'mse_score': 0.0016701847314834594, ]8;id=137174;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=668061;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002289686817675829, 'model_time': 1.912144519854337, 'learning_rate': 8.6e-06, 'epoch':   +  10.44})   +03/15 [01:37:30] INFO  | >> Step 4350, Loss: {'action_dit_loss': 1.3580819368362427, 'data_time': 0.00016273092478513718, ]8;id=578478;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=739945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.913708820939064, 'learning_rate': 8.700000000000001e-06, 'epoch': 10.56})   +03/15 [01:39:08] INFO  | >> Step 4400, Loss: {'action_dit_loss': 0.7855314016342163, 'mse_score': 0.0014717312529683112, ]8;id=78898;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=990957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00224499125033617, 'model_time': 1.9124202611856163, 'learning_rate': 8.8e-06, 'epoch':   +  10.68})   +03/15 [01:40:44] INFO  | >> Step 4450, Loss: {'action_dit_loss': 1.0006239414215088, 'data_time': 0.0022298982366919518, ]8;id=572092;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=37778;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9132330929860473, 'learning_rate': 8.900000000000001e-06, 'epoch': 10.8})   +03/15 [01:42:23] INFO  | >> Step 4500, Loss: {'action_dit_loss': 0.830422043800354, 'mse_score': 0.0019339550286531447, 'data_time': ]8;id=155287;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=450664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00018264073878526688, 'model_time': 1.9196821772493422, 'learning_rate': 9e-06, 'epoch': 10.92})   +03/15 [01:44:00] INFO  | >> Step 4550, Loss: {'action_dit_loss': 1.1060069799423218, 'data_time': 0.00017189094796776772, ]8;id=942650;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=978413;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.914271674118936, 'learning_rate': 9.100000000000001e-06, 'epoch': 11.04})   +03/15 [01:45:38] INFO  | >> Step 4600, Loss: {'action_dit_loss': 1.2360798120498657, 'mse_score': 0.0024335350841283797, ]8;id=375190;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=220281;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014296178705990314, 'model_time': 1.9153098249807954, 'learning_rate': 9.200000000000002e-06,   +  'epoch': 11.17})   +03/15 [01:47:14] INFO  | >> Step 4650, Loss: {'action_dit_loss': 0.8834207653999329, 'data_time': 0.002383252140134573, ]8;id=370858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=818011;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9112115809693933, 'learning_rate': 9.3e-06, 'epoch': 11.29})   +03/15 [01:48:52] INFO  | >> Step 4700, Loss: {'action_dit_loss': 0.6544222235679626, 'mse_score': 0.0010448254644870758, ]8;id=650810;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=785884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001496509648859501, 'model_time': 1.912967496085912, 'learning_rate': 9.4e-06, 'epoch':   +  11.41})   +03/15 [01:50:28] INFO  | >> Step 4750, Loss: {'action_dit_loss': 0.7134433388710022, 'data_time': 0.0016267569735646248, ]8;id=906604;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=170395;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9146359688602388, 'learning_rate': 9.5e-06, 'epoch': 11.53})   +03/15 [01:52:06] INFO  | >> Step 4800, Loss: {'action_dit_loss': 0.7464269399642944, 'mse_score': 0.0011256910860538484, ]8;id=432322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=25990;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0023133447393774986, 'model_time': 1.9122072388418019, 'learning_rate': 9.600000000000001e-06,   +  'epoch': 11.65})   +03/15 [01:53:43] INFO  | >> Step 4850, Loss: {'action_dit_loss': 0.8161035776138306, 'data_time': 0.0001542903482913971, ]8;id=820391;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=976031;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9166794372722507, 'learning_rate': 9.7e-06, 'epoch': 11.77})   +03/15 [01:55:23] INFO  | >> Step 4900, Loss: {'action_dit_loss': 0.8319698572158813, 'mse_score': 0.0017463319003582002, ]8;id=770763;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=850132;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0042127566412091255, 'model_time': 1.9189664609730244, 'learning_rate': 9.800000000000001e-06,   +  'epoch': 11.89})   +03/15 [01:56:59] INFO  | >> Step 4950, Loss: {'action_dit_loss': 0.7461799383163452, 'data_time': 0.00015373993664979935, ]8;id=735343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=113346;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.915935492143035, 'learning_rate': 9.9e-06, 'epoch': 12.01})   +03/15 [01:58:37] INFO  | >> Step 5000, Loss: {'action_dit_loss': 1.093392014503479, 'mse_score': 0.003181042894721031, 'data_time': ]8;id=493554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=233238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014996198005974293, 'model_time': 1.9143523718230426, 'learning_rate': 1e-05, 'epoch': 12.14})   +03/15 [02:00:13] INFO  | >> Step 5050, Loss: {'action_dit_loss': 0.7120800614356995, 'data_time': 0.002519500907510519, ]8;id=366643;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=320015;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9159031002782285, 'learning_rate': 9.99990623906665e-06, 'epoch': 12.26})   +03/15 [02:01:51] INFO  | >> Step 5100, Loss: {'action_dit_loss': 1.0651824474334717, 'mse_score': 0.0013665995560586453, ]8;id=233752;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=24813;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015828106552362442, 'model_time': 1.9186294400133193, 'learning_rate':   +  9.999624959968129e-06, 'epoch': 12.38})   +03/15 [02:03:27] INFO  | >> Step 5150, Loss: {'action_dit_loss': 0.9898365139961243, 'data_time': 0.0015086820349097252, ]8;id=292136;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=906339;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9160463018342853, 'learning_rate': 9.999156173808844e-06, 'epoch': 12.5})   +03/15 [02:05:05] INFO  | >> Step 5200, Loss: {'action_dit_loss': 0.6290531754493713, 'mse_score': 0.0007091366220265627, ]8;id=672642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=534150;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015636999160051346, 'model_time': 1.9190600397996604, 'learning_rate':   +  9.998499899095676e-06, 'epoch': 12.62})   +03/15 [02:06:41] INFO  | >> Step 5250, Loss: {'action_dit_loss': 0.7573075294494629, 'data_time': 0.001613592728972435, ]8;id=347235;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=984861;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9169208439998329, 'learning_rate': 9.997656161737227e-06, 'epoch': 12.74})   +03/15 [02:08:20] INFO  | >> Step 5300, Loss: {'action_dit_loss': 0.6173055171966553, 'mse_score': 0.003625008836388588, 'data_time': ]8;id=187241;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=608792;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0021365927532315254, 'model_time': 1.9180813529528677, 'learning_rate': 9.9966249950428e-06, 'epoch':   +  12.86})   +03/15 [02:09:57] INFO  | >> Step 5350, Loss: {'action_dit_loss': 0.7914775609970093, 'data_time': 0.001473722979426384, ]8;id=455673;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=362479;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9130448433570564, 'learning_rate': 9.995406439721094e-06, 'epoch': 12.99})   +03/15 [02:11:35] INFO  | >> Step 5400, Loss: {'action_dit_loss': 1.0309220552444458, 'mse_score': 0.0008480358868837356, ]8;id=635656;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=536265;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001515708863735199, 'model_time': 1.9182081567123532, 'learning_rate': 9.994000543878584e-06,   +  'epoch': 13.11})   +03/15 [02:13:11] INFO  | >> Step 5450, Loss: {'action_dit_loss': 0.8143870234489441, 'data_time': 0.004141828045248985, ]8;id=199312;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=267095;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.916898223105818, 'learning_rate': 9.992407363017633e-06, 'epoch': 13.23})   +03/15 [02:14:49] INFO  | >> Step 5500, Loss: {'action_dit_loss': 0.9610338807106018, 'mse_score': 0.0010942397639155388, ]8;id=545175;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=970535;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0023537036031484604, 'model_time': 1.9144293889403343, 'learning_rate': 9.990626960034291e-06,   +  'epoch': 13.35})   +03/15 [02:16:26] INFO  | >> Step 5550, Loss: {'action_dit_loss': 1.2579929828643799, 'data_time': 0.00016270997002720833, ]8;id=985937;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=777991;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9170342041179538, 'learning_rate': 9.98865940521582e-06, 'epoch': 13.47})   +03/15 [02:18:04] INFO  | >> Step 5600, Loss: {'action_dit_loss': 0.8398616909980774, 'mse_score': 0.0008486314676702022, ]8;id=452248;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=73372;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00259070610627532, 'model_time': 1.911868056282401, 'learning_rate': 9.986504776237916e-06,   +  'epoch': 13.59})   +03/15 [02:19:39] INFO  | >> Step 5650, Loss: {'action_dit_loss': 0.8970452547073364, 'data_time': 0.001401793211698532, ]8;id=653425;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=329164;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9140313500538468, 'learning_rate': 9.984163158161643e-06, 'epoch': 13.71})   +03/15 [02:21:18] INFO  | >> Step 5700, Loss: {'action_dit_loss': 0.5974457859992981, 'mse_score': 0.0022542716935276983, ]8;id=943767;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=314910;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001520100049674511, 'model_time': 1.9222828121855855, 'learning_rate': 9.98163464343007e-06,   +  'epoch': 13.83})   +03/15 [02:22:55] INFO  | >> Step 5750, Loss: {'action_dit_loss': 0.7608017325401306, 'data_time': 0.0001570400781929493, ]8;id=342027;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=421947;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.914641525130719, 'learning_rate': 9.978919331864631e-06, 'epoch': 13.96})   +03/15 [02:24:33] INFO  | >> Step 5800, Loss: {'action_dit_loss': 1.1085326671600342, 'mse_score': 0.0015300282277166844, ]8;id=201158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=440869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016735028475522995, 'model_time': 1.9200927740894258, 'learning_rate':   +  9.976017330661177e-06, 'epoch': 14.08})   +03/15 [02:26:09] INFO  | >> Step 5850, Loss: {'action_dit_loss': 0.6761166453361511, 'data_time': 0.0025319820269942284, ]8;id=784475;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=946660;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9277692399919033, 'learning_rate': 9.972928754385746e-06, 'epoch': 14.2})   +03/15 [02:27:47] INFO  | >> Step 5900, Loss: {'action_dit_loss': 0.6164216995239258, 'mse_score': 0.0021494854241609572, ]8;id=425800;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=574553;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017383461818099022, 'model_time': 1.9160412568598986, 'learning_rate':   +  9.969653724970041e-06, 'epoch': 14.32})   +03/15 [02:29:24] INFO  | >> Step 5950, Loss: {'action_dit_loss': 0.7394516468048096, 'data_time': 0.0001598871313035488, ]8;id=220392;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=450770;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.913868684321642, 'learning_rate': 9.966192371706615e-06, 'epoch': 14.44})   +03/15 [02:31:02] INFO  | >> Step 6000, Loss: {'action_dit_loss': 0.6806185245513916, 'mse_score': 0.0009721160866320133, ]8;id=337902;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=487575;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001638871617615223, 'model_time': 1.9169500363059342, 'learning_rate': 9.96254483124377e-06,   +  'epoch': 14.56})   +03/15 [02:32:38] INFO  | >> Step 6050, Loss: {'action_dit_loss': 0.8133457899093628, 'data_time': 0.0023352941498160362, ]8;id=536004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=496171;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9180917171761394, 'learning_rate': 9.958711247580156e-06, 'epoch': 14.68})   +03/15 [02:34:16] INFO  | >> Step 6100, Loss: {'action_dit_loss': 0.5822851061820984, 'mse_score': 0.0030509373173117638, ]8;id=177934;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=690855;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0048660458996891975, 'model_time': 1.9114747950807214, 'learning_rate': 9.954691772059093e-06,   +  'epoch': 14.81})   +03/15 [02:35:53] INFO  | >> Step 6150, Loss: {'action_dit_loss': 0.714322566986084, 'data_time': 0.00016058795154094696, ]8;id=663686;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=649342;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9164069253019989, 'learning_rate': 9.950486563362593e-06, 'epoch': 14.93})   +03/15 [02:37:31] INFO  | >> Step 6200, Loss: {'action_dit_loss': 0.4854552149772644, 'mse_score': 0.0014837205410003663, ]8;id=787625;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=246277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0016268938779830933, 'model_time': 1.981319302227348, 'learning_rate': 9.946095787505092e-06,   +  'epoch': 15.05})   +03/15 [02:39:08] INFO  | >> Step 6250, Loss: {'action_dit_loss': 0.5157792568206787, 'data_time': 0.00151367811486125, 'model_time': ]8;id=208802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=154511;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.917828047182411, 'learning_rate': 9.941519617826906e-06, 'epoch': 15.17})   +03/15 [02:40:46] INFO  | >> Step 6300, Loss: {'action_dit_loss': 0.8830650448799133, 'mse_score': 0.0018230274319648743, ]8;id=640967;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=891014;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015464890748262405, 'model_time': 1.9181234217248857, 'learning_rate':   +  9.936758234987373e-06, 'epoch': 15.29})   +03/15 [02:42:22] INFO  | >> Step 6350, Loss: {'action_dit_loss': 1.1124502420425415, 'data_time': 0.001610449980944395, ]8;id=929181;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=660356;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9143422818742692, 'learning_rate': 9.931811826957742e-06, 'epoch': 15.41})   +03/15 [02:44:00] INFO  | >> Step 6400, Loss: {'action_dit_loss': 0.6791005730628967, 'mse_score': 0.000662795128300786, 'data_time': ]8;id=402630;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=518392;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0025008670054376125, 'model_time': 1.9135833070613444, 'learning_rate': 9.926680589013726e-06, 'epoch':   +  15.53})   +03/15 [02:45:36] INFO  | >> Step 6450, Loss: {'action_dit_loss': 0.9029354453086853, 'data_time': 0.00014647888019680977, ]8;id=721024;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=5814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9222525851801038, 'learning_rate': 9.921364723727816e-06, 'epoch': 15.66})   +03/15 [02:47:15] INFO  | >> Step 6500, Loss: {'action_dit_loss': 0.4331781268119812, 'mse_score': 0.0019576411694288256, ]8;id=928477;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=111764;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.001419693697243929, 'model_time': 1.9158197650685906, 'learning_rate': 9.915864440961272e-06,   +  'epoch': 15.78})   +03/15 [02:48:52] INFO  | >> Step 6550, Loss: {'action_dit_loss': 0.6948695778846741, 'data_time': 0.0014978237450122833, ]8;id=843170;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=729716;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9138310607522726, 'learning_rate': 9.910179957855837e-06, 'epoch': 15.9})   +03/15 [02:50:30] INFO  | >> Step 6600, Loss: {'action_dit_loss': 0.8157853484153748, 'mse_score': 0.00172208733856678, 'data_time': ]8;id=261303;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=962037;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015521240420639515, 'model_time': 1.9162460127845407, 'learning_rate': 9.904311498825173e-06, 'epoch':   +  16.02})   +03/15 [02:52:06] INFO  | >> Step 6650, Loss: {'action_dit_loss': 0.48805880546569824, 'data_time': 0.0022564721293747425, ]8;id=840346;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=487213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9112249896861613, 'learning_rate': 9.898259295545993e-06, 'epoch': 16.14})   +03/15 [02:53:44] INFO  | >> Step 6700, Loss: {'action_dit_loss': 0.5698494911193848, 'mse_score': 0.0011272349394857884, ]8;id=332711;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=996188;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016140984371304512, 'model_time': 1.9171388638205826, 'learning_rate': 9.89202358694892e-06,   +  'epoch': 16.26})   +03/15 [02:55:21] INFO  | >> Step 6750, Loss: {'action_dit_loss': 0.8162407875061035, 'data_time': 0.0021637040190398693, ]8;id=854596;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=754213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9187273937277496, 'learning_rate': 9.885604619209052e-06, 'epoch': 16.38})   +03/15 [02:56:59] INFO  | >> Step 6800, Loss: {'action_dit_loss': 0.5959686040878296, 'mse_score': 0.001676403544843197, 'data_time': ]8;id=950906;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=574485;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00018113898113369942, 'model_time': 1.9197339629754424, 'learning_rate': 9.879002645736244e-06, 'epoch':   +  16.5})   +03/15 [02:58:35] INFO  | >> Step 6850, Loss: {'action_dit_loss': 0.818537712097168, 'data_time': 0.0001672687940299511, ]8;id=903342;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=497732;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9183895476162434, 'learning_rate': 9.872217927165102e-06, 'epoch': 16.63})   +03/15 [03:00:13] INFO  | >> Step 6900, Loss: {'action_dit_loss': 0.5578345060348511, 'mse_score': 0.0026642009615898132, ]8;id=880660;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=668636;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0024383398704230785, 'model_time': 1.9153963369317353, 'learning_rate': 9.865250731344703e-06,   +  'epoch': 16.75})   +03/15 [03:01:50] INFO  | >> Step 6950, Loss: {'action_dit_loss': 0.5136526823043823, 'data_time': 0.00017022574320435524, ]8;id=508136;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=657193;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.915192614775151, 'learning_rate': 9.858101333328003e-06, 'epoch': 16.87})   +03/15 [03:03:28] INFO  | >> Step 7000, Loss: {'action_dit_loss': 0.6453722715377808, 'mse_score': 0.0018256930634379387, ]8;id=748206;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=299607;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0025269840843975544, 'model_time': 1.9121949942782521, 'learning_rate': 9.850770015360999e-06,   +  'epoch': 16.99})   +03/15 [03:05:05] INFO  | >> Step 7050, Loss: {'action_dit_loss': 0.6545882225036621, 'data_time': 0.0015085949562489986, ]8;id=936406;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=566390;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9180939700454473, 'learning_rate': 9.843257066871567e-06, 'epoch': 17.11})   +03/15 [03:06:43] INFO  | >> Step 7100, Loss: {'action_dit_loss': 0.6259540915489197, 'mse_score': 0.0019157573580741883, ]8;id=401641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=727659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0024195462465286255, 'model_time': 1.912020388059318, 'learning_rate': 9.835562784458052e-06,   +  'epoch': 17.23})   +03/15 [03:08:19] INFO  | >> Step 7150, Loss: {'action_dit_loss': 1.0084987878799438, 'data_time': 0.0015726499259471893, ]8;id=435020;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=427398;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9174759429879487, 'learning_rate': 9.827687471877547e-06, 'epoch': 17.35})   +03/15 [03:09:57] INFO  | >> Step 7200, Loss: {'action_dit_loss': 0.34609654545783997, 'mse_score': 0.0014800487086176872, ]8;id=65290;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=216881;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014874129556119442, 'model_time': 1.9138829642906785, 'learning_rate': 9.819631440033909e-06,   +  'epoch': 17.48})   +03/15 [03:11:33] INFO  | >> Step 7250, Loss: {'action_dit_loss': 0.6491397619247437, 'data_time': 0.0016102339141070843, ]8;id=807189;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=612451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.921380294021219, 'learning_rate': 9.811395006965481e-06, 'epoch': 17.6})   +03/15 [03:13:11] INFO  | >> Step 7300, Loss: {'action_dit_loss': 0.49685293436050415, 'mse_score': 0.0013128559105098248, ]8;id=923435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=802784;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014676661230623722, 'model_time': 2.1469403924420476, 'learning_rate': 9.802978497832536e-06,   +  'epoch': 17.72})   +03/15 [03:14:49] INFO  | >> Step 7350, Loss: {'action_dit_loss': 0.6498816013336182, 'data_time': 0.00017507793381810188, ]8;id=988536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=368845;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9198812558315694, 'learning_rate': 9.794382244904445e-06, 'epoch': 17.84})   +03/15 [03:16:27] INFO  | >> Step 7400, Loss: {'action_dit_loss': 0.8173320293426514, 'mse_score': 0.0014168551191687585, ]8;id=934953;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=999744;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015234900638461113, 'model_time': 1.913516679778695, 'learning_rate': 9.785606587546555e-06,   +  'epoch': 17.96})   +03/15 [03:18:03] INFO  | >> Step 7450, Loss: {'action_dit_loss': 0.34037548303604126, 'data_time': 0.004181580152362585, ]8;id=770319;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=572661;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9122408390976489, 'learning_rate': 9.77665187220679e-06, 'epoch': 18.08})   +03/15 [03:19:41] INFO  | >> Step 7500, Loss: {'action_dit_loss': 0.4828718304634094, 'mse_score': 0.0014040863141417503, ]8;id=511945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=230080;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002405214123427868, 'model_time': 1.9134192201308906, 'learning_rate': 9.767518452401981e-06,   +  'epoch': 18.2})   +03/15 [03:21:17] INFO  | >> Step 7550, Loss: {'action_dit_loss': 0.8043965101242065, 'data_time': 0.00015893904492259026, ]8;id=407746;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=352457;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.913731933105737, 'learning_rate': 9.758206688703901e-06, 'epoch': 18.33})   +03/15 [03:22:56] INFO  | >> Step 7600, Loss: {'action_dit_loss': 0.6336919069290161, 'mse_score': 0.0012015726417303086, ]8;id=759359;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=173061;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001522088423371315, 'model_time': 1.9179274141788483, 'learning_rate': 9.748716948725037e-06,   +  'epoch': 18.45})   +03/15 [03:24:32] INFO  | >> Step 7650, Loss: {'action_dit_loss': 0.533328652381897, 'data_time': 0.0016323011368513107, ]8;id=652483;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=560069;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9159759050235152, 'learning_rate': 9.739049607104074e-06, 'epoch': 18.57})   +03/15 [03:26:10] INFO  | >> Step 7700, Loss: {'action_dit_loss': 0.3967660367488861, 'mse_score': 0.0023298079147934915, ]8;id=591807;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=695205;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.003037082962691784, 'model_time': 1.912772221956402, 'learning_rate': 9.729205045491108e-06,   +  'epoch': 18.69})   +03/15 [03:27:46] INFO  | >> Step 7750, Loss: {'action_dit_loss': 0.3590521514415741, 'data_time': 0.00013242894783616066, ]8;id=142291;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=908959;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9153784569352865, 'learning_rate': 9.719183652532572e-06, 'epoch': 18.81})   +03/15 [03:29:25] INFO  | >> Step 7800, Loss: {'action_dit_loss': 0.9374897480010986, 'mse_score': 0.0014486337080597878, ]8;id=397519;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=343254;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0003445977345108986, 'model_time': 1.9148505828343332, 'learning_rate': 9.708985823855904e-06,   +  'epoch': 18.93})   +03/15 [03:31:01] INFO  | >> Step 7850, Loss: {'action_dit_loss': 0.2826848030090332, 'data_time': 0.00015011895447969437, ]8;id=798207;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=922369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9169394802302122, 'learning_rate': 9.698611962053915e-06, 'epoch': 19.05})   +03/15 [03:32:40] INFO  | >> Step 7900, Loss: {'action_dit_loss': 0.5983906388282776, 'mse_score': 0.0021010885015130044, ]8;id=872335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=442042;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.003244163002818823, 'model_time': 1.9109116201288998, 'learning_rate': 9.688062476668908e-06,   +  'epoch': 19.17})   +03/15 [03:34:16] INFO  | >> Step 7950, Loss: {'action_dit_loss': 0.5896230936050415, 'data_time': 0.0001656929962337017, ]8;id=20324;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=785408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9176197070628405, 'learning_rate': 9.677337784176503e-06, 'epoch': 19.3})   +03/15 [03:35:54] INFO  | >> Step 8000, Loss: {'action_dit_loss': 0.4632311761379242, 'mse_score': 0.0014360472559928894, ]8;id=235113;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=681725;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017044227570295334, 'model_time': 1.9175930339843035, 'learning_rate':   +  9.666438307969194e-06, 'epoch': 19.42})   +03/15 [03:37:29] INFO  | >> Step 8050, Loss: {'action_dit_loss': 0.6464794278144836, 'data_time': 0.0014373771846294403, ]8;id=790870;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=32537;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9127184059470892, 'learning_rate': 9.655364478339643e-06, 'epoch': 19.54})   +03/15 [03:39:08] INFO  | >> Step 8100, Loss: {'action_dit_loss': 0.37890398502349854, 'mse_score': 0.00239151306450367, 'data_time': ]8;id=21369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=651517;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001536221243441105, 'model_time': 1.9184536118991673, 'learning_rate': 9.644116732463676e-06, 'epoch':   +  19.66})   +03/15 [03:40:45] INFO  | >> Step 8150, Loss: {'action_dit_loss': 0.37179675698280334, 'data_time': 0.0015253517776727676, ]8;id=701978;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=119946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 2.1365639213472605, 'learning_rate': 9.632695514383048e-06, 'epoch': 19.78})   +03/15 [03:42:24] INFO  | >> Step 8200, Loss: {'action_dit_loss': 0.8689340949058533, 'mse_score': 0.0017891949042677878, ]8;id=733442;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=268690;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001700310967862606, 'model_time': 1.9194941530004144, 'learning_rate': 9.621101274987885e-06,   +  'epoch': 19.9})   +03/15 [03:44:00] INFO  | >> Step 8250, Loss: {'action_dit_loss': 0.3210732340812683, 'data_time': 0.004111410118639469, ]8;id=636745;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=784256;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9141393098980188, 'learning_rate': 9.609334471998911e-06, 'epoch': 20.02})   +03/15 [03:45:38] INFO  | >> Step 8300, Loss: {'action_dit_loss': 0.40449637174606323, 'mse_score': 0.001417553424835205, ]8;id=171720;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=326147;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015217112377285957, 'model_time': 1.914214929100126, 'learning_rate': 9.59739556994936e-06,   +  'epoch': 20.15})   +03/15 [03:47:14] INFO  | >> Step 8350, Loss: {'action_dit_loss': 0.8044847249984741, 'data_time': 0.00014893990010023117, ]8;id=327110;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=603766;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9190020887181163, 'learning_rate': 9.58528504016664e-06, 'epoch': 20.27})   +03/15 [03:48:52] INFO  | >> Step 8400, Loss: {'action_dit_loss': 0.3865306079387665, 'mse_score': 0.00048675099387764933, ]8;id=987203;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=749747;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015786010771989822, 'model_time': 1.9153630291111767, 'learning_rate': 9.57300336075373e-06,   +  'epoch': 20.39})   +03/15 [03:50:29] INFO  | >> Step 8450, Loss: {'action_dit_loss': 0.4414891302585602, 'data_time': 0.0022246642038226128, ]8;id=870917;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=657711;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.913133850786835, 'learning_rate': 9.560551016570306e-06, 'epoch': 20.51})   +03/15 [03:52:07] INFO  | >> Step 8500, Loss: {'action_dit_loss': 0.4731810390949249, 'mse_score': 0.0034734096378088, 'data_time': ]8;id=316232;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=891597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022283638827502728, 'model_time': 1.9145641662180424, 'learning_rate': 9.547928499213593e-06, 'epoch':   +  20.63})   +03/15 [03:53:43] INFO  | >> Step 8550, Loss: {'action_dit_loss': 0.39165806770324707, 'data_time': 0.0001544412225484848, ]8;id=834904;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=593423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9144249791279435, 'learning_rate': 9.535136306998963e-06, 'epoch': 20.75})   +03/15 [03:55:22] INFO  | >> Step 8600, Loss: {'action_dit_loss': 0.6295903921127319, 'mse_score': 0.0019478991627693177, ]8;id=449186;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=693655;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00391522329300642, 'model_time': 1.9255362190306187, 'learning_rate': 9.522174944940263e-06,   +  'epoch': 20.87})   +03/15 [03:56:58] INFO  | >> Step 8650, Loss: {'action_dit_loss': 0.22061598300933838, 'data_time': 0.00015470990911126137, ]8;id=357806;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=13266;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9166522189043462, 'learning_rate': 9.509044924729872e-06, 'epoch': 21.0})   +03/15 [03:58:37] INFO  | >> Step 8700, Loss: {'action_dit_loss': 0.7010266184806824, 'mse_score': 0.001227494515478611, 'data_time': ]8;id=110665;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=454582;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015749037265777588, 'model_time': 1.9163299123756588, 'learning_rate': 9.495746764718504e-06, 'epoch':   +  21.12})   +03/15 [04:00:13] INFO  | >> Step 8750, Loss: {'action_dit_loss': 1.141125202178955, 'data_time': 0.0024151396937668324, ]8;id=482071;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=741666;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.914160234387964, 'learning_rate': 9.482280989894748e-06, 'epoch': 21.24})   +03/15 [04:01:51] INFO  | >> Step 8800, Loss: {'action_dit_loss': 0.3288755416870117, 'mse_score': 0.0002692853799089789, ]8;id=547091;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=682054;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001521604135632515, 'model_time': 1.9172288430854678, 'learning_rate': 9.468648131864338e-06,   +  'epoch': 21.36})   +03/15 [04:03:27] INFO  | >> Step 8850, Loss: {'action_dit_loss': 0.5737451910972595, 'data_time': 0.0001733102835714817, ]8;id=564315;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=812270;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.916189598850906, 'learning_rate': 9.454848728829163e-06, 'epoch': 21.48})   +03/15 [04:05:05] INFO  | >> Step 8900, Loss: {'action_dit_loss': 0.2682502865791321, 'mse_score': 0.0030008310452103613, ]8;id=766536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=621254;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0024900687858462334, 'model_time': 1.9168031397275627, 'learning_rate': 9.440883325566029e-06,   +  'epoch': 21.6})   +03/15 [04:06:41] INFO  | >> Step 8950, Loss: {'action_dit_loss': 0.41054046154022217, 'data_time': 0.00016146013513207436, ]8;id=871084;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=980022;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.915431581903249, 'learning_rate': 9.426752473405142e-06, 'epoch': 21.72})   +03/15 [04:08:22] INFO  | >> Step 9000, Loss: {'action_dit_loss': 0.6242213249206543, 'mse_score': 0.0015620306134223939, ]8;id=255709;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=786931;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001667090691626072, 'model_time': 1.920660650357604, 'learning_rate': 9.412456730208352e-06,   +  'epoch': 21.84})   +03/15 [04:09:58] INFO  | >> Step 9050, Loss: {'action_dit_loss': 0.23000800609588623, 'data_time': 0.0032388418912887573, ]8;id=397399;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=352737;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9143876261077821, 'learning_rate': 9.397996660347122e-06, 'epoch': 21.97})   +03/15 [04:11:36] INFO  | >> Step 9100, Loss: {'action_dit_loss': 0.6079589128494263, 'mse_score': 0.000999486166983843, 'data_time': ]8;id=190672;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=511233;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015240302309393883, 'model_time': 1.917589021846652, 'learning_rate': 9.383372834680248e-06, 'epoch':   +  22.09})   +03/15 [04:13:12] INFO  | >> Step 9150, Loss: {'action_dit_loss': 0.8050613403320312, 'data_time': 0.0001768721267580986, ]8;id=356871;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=293243;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9147653109394014, 'learning_rate': 9.368585830531329e-06, 'epoch': 22.21})   +03/15 [04:14:50] INFO  | >> Step 9200, Loss: {'action_dit_loss': 0.4276248812675476, 'mse_score': 0.0008985406719148159, ]8;id=289688;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=582789;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016610417515039444, 'model_time': 1.9161815429106355, 'learning_rate':   +  9.353636231665967e-06, 'epoch': 22.33})   +03/15 [04:16:27] INFO  | >> Step 9250, Loss: {'action_dit_loss': 0.28000110387802124, 'data_time': 0.00016942434012889862, ]8;id=89771;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=253080;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9153749039396644, 'learning_rate': 9.338524628268734e-06, 'epoch': 22.45})   +03/15 [04:18:05] INFO  | >> Step 9300, Loss: {'action_dit_loss': 0.14757277071475983, 'mse_score': 0.0018768996000289918, ]8;id=794993;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=251997;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0030504241585731506, 'model_time': 1.9124773438088596, 'learning_rate': 9.323251616919849e-06,   +  'epoch': 22.57})   +03/15 [04:19:41] INFO  | >> Step 9350, Loss: {'action_dit_loss': 0.362659752368927, 'data_time': 0.0001688459888100624, ]8;id=514663;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=469945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9198349369689822, 'learning_rate': 9.307817800571653e-06, 'epoch': 22.69})   +03/15 [04:21:20] INFO  | >> Step 9400, Loss: {'action_dit_loss': 0.5200532674789429, 'mse_score': 0.0006891152821481228, ]8;id=232360;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=424045;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0035040327347815037, 'model_time': 1.916062183212489, 'learning_rate': 9.292223788524789e-06,   +  'epoch': 22.82})   +03/15 [04:22:56] INFO  | >> Step 9450, Loss: {'action_dit_loss': 0.23997721076011658, 'data_time': 0.0022889049723744392, ]8;id=609805;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=386945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9185329210013151, 'learning_rate': 9.276470196404146e-06, 'epoch': 22.94})   +03/15 [04:24:34] INFO  | >> Step 9500, Loss: {'action_dit_loss': 0.5429551601409912, 'mse_score': 0.0013097185641527177, ]8;id=446173;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=782169;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.000152497086673975, 'model_time': 1.9152472992427647, 'learning_rate': 9.260557646134572e-06,   +  'epoch': 23.06})   +03/15 [04:26:12] INFO  | >> Step 9550, Loss: {'action_dit_loss': 0.6658854484558105, 'data_time': 0.004057214129716158, ]8;id=475786;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=284076;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9129638760350645, 'learning_rate': 9.244486765916304e-06, 'epoch': 23.18})   +03/15 [04:27:50] INFO  | >> Step 9600, Loss: {'action_dit_loss': 0.32668086886405945, 'mse_score': 0.000456179678440094, ]8;id=756321;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=201939;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016085756942629814, 'model_time': 1.915775217115879, 'learning_rate': 9.228258190200174e-06,   +  'epoch': 23.3})   +03/15 [04:29:26] INFO  | >> Step 9650, Loss: {'action_dit_loss': 0.30342429876327515, 'data_time': 0.00017211772501468658, ]8;id=997067;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=799213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9237260660156608, 'learning_rate': 9.211872559662565e-06, 'epoch': 23.42})   +03/15 [04:31:04] INFO  | >> Step 9700, Loss: {'action_dit_loss': 0.15530070662498474, 'mse_score': 0.0024457959458231925, 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]8;id=580238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=306327;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0024675531312823296, 'model_time': 1.9169575148262084, 'learning_rate': 9.127611440906625e-06,   +  'epoch': 24.03})   +03/15 [04:39:10] INFO  | >> Step 9950, Loss: {'action_dit_loss': 0.8768196105957031, 'data_time': 0.00017507793381810188, ]8;id=910647;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=789359;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9283208129927516, 'learning_rate': 9.110297281057197e-06, 'epoch': 24.15})   +03/15 [04:40:48] INFO  | >> Step 10000, Loss: {'action_dit_loss': 0.29838788509368896, 'mse_score': 0.0004893845412880182, ]8;id=601949;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=298151;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0031761270947754383, 'model_time': 1.9139845869503915, 'learning_rate': 9.092830723281e-06,   +  'epoch': 24.27})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314/checkpoints/steps_10000 +03/15 [04:41:00] INFO  | >> 📊 Saving accessed configuration... ]8;id=53872;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=264742;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#240\240]8;;\ +  INFO  | >> ✅ Configuration files saved ]8;id=68517;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=420172;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\ +03/15 [04:42:37] INFO  | >> Step 10050, Loss: {'action_dit_loss': 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]8;id=596856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=965940;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9177154987119138, 'learning_rate': 8.773273420509013e-06, 'epoch': 26.33})   +03/15 [05:10:13] INFO  | >> Step 10900, Loss: {'action_dit_loss': 0.10120239853858948, 'mse_score': 0.002156595140695572, ]8;id=722131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=318862;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0018460904248058796, 'model_time': 1.9130688211880624, 'learning_rate': 8.753187307451327e-06,   +  'epoch': 26.46})   +03/15 [05:11:50] INFO  | >> Step 10950, Loss: {'action_dit_loss': 0.3437020778656006, 'data_time': 0.002218530047684908, ]8;id=524783;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=566211;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9137852457351983, 'learning_rate': 8.732962894557163e-06, 'epoch': 26.58})   +03/15 [05:13:29] INFO  | >> Step 11000, Loss: {'action_dit_loss': 0.5845457315444946, 'mse_score': 0.0005110838916152716, ]8;id=41797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=932627;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001671300269663334, 'model_time': 1.9170617568306625, 'learning_rate': 8.712600980251706e-06,   +  'epoch': 26.7})   +03/15 [05:15:05] INFO  | >> Step 11050, Loss: {'action_dit_loss': 0.10576413571834564, 'data_time': 0.00434844708070159, ]8;id=262529;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=27121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9127085921354592, 'learning_rate': 8.692102368388472e-06, 'epoch': 26.82})   +03/15 [05:16:44] INFO  | >> Step 11100, Loss: {'action_dit_loss': 0.22337667644023895, 'mse_score': 0.0010227289982140063, ]8;id=902317;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=603139;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00018668314442038536, 'model_time': 1.917190670967102, 'learning_rate': 8.67146786821756e-06,   +  'epoch': 26.94})   +03/15 [05:18:20] INFO  | >> Step 11150, Loss: {'action_dit_loss': 0.617674708366394, 'data_time': 0.00014729611575603485, ]8;id=704938;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=861322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9164718557149172, 'learning_rate': 8.650698294353698e-06, 'epoch': 27.06})   +03/15 [05:19:58] INFO  | >> Step 11200, Loss: {'action_dit_loss': 0.3601973056793213, 'mse_score': 0.0005023878067731858, ]8;id=793005;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=183700;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016644597053527832, 'model_time': 1.91236652713269, 'learning_rate': 8.629794466744107e-06,   +  'epoch': 27.18})   +03/15 [05:21:34] INFO  | >> Step 11250, Loss: {'action_dit_loss': 0.2218654304742813, 'data_time': 0.0014015068300068378, ]8;id=960571;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=291668;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9125207331962883, 'learning_rate': 8.608757210636101e-06, 'epoch': 27.31})   +03/15 [05:23:13] INFO  | >> Step 11300, Loss: {'action_dit_loss': 0.105889230966568, 'mse_score': 0.0016554754227399826, ]8;id=853797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=515611;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.003165033645927906, 'model_time': 1.914928236976266, 'learning_rate': 8.587587356544535e-06,   +  'epoch': 27.43})   +03/15 [05:24:48] INFO  | >> Step 11350, Loss: {'action_dit_loss': 0.13166022300720215, 'data_time': 0.0001586172729730606, ]8;id=349499;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=336653;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.917496217880398, 'learning_rate': 8.566285740218996e-06, 'epoch': 27.55})   +03/15 [05:26:26] INFO  | >> Step 11400, Loss: {'action_dit_loss': 0.6345365643501282, 'mse_score': 0.0012852179817855359, ]8;id=345824;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=431641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001640981063246727, 'model_time': 1.9181989491917193, 'learning_rate': 8.544853202610825e-06,   +  'epoch': 27.67})   +03/15 [05:28:04] INFO  | >> Step 11450, Loss: {'action_dit_loss': 0.15331971645355225, 'data_time': 0.0033250022679567337, ]8;id=991107;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=419904;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9125356883741915, 'learning_rate': 8.523290589839907e-06, 'epoch': 27.79})   +03/15 [05:29:43] INFO  | >> Step 11500, Loss: {'action_dit_loss': 0.3702021837234497, 'mse_score': 0.001169060356914997, ]8;id=476919;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=92337;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016466807574033737, 'model_time': 1.9180390150286257, 'learning_rate':   +  8.501598753161273e-06, 'epoch': 27.91})   +03/15 [05:31:18] INFO  | >> Step 11550, Loss: {'action_dit_loss': 0.4744999408721924, 'data_time': 0.00015833834186196327, ]8;id=810075;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=423808;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9199135298840702, 'learning_rate': 8.479778548931492e-06, 'epoch': 28.03})   +03/15 [05:32:56] INFO  | >> Step 11600, Loss: {'action_dit_loss': 0.2464641034603119, 'mse_score': 0.0006321789231151342, ]8;id=689606;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.000157057773321867, 'model_time': 1.916302860248834, 'learning_rate': 8.457830838574867e-06,   +  'epoch': 28.16})   +03/15 [05:34:32] INFO  | >> Step 11650, Loss: {'action_dit_loss': 0.28883159160614014, 'data_time': 0.00015065912157297134, ]8;id=196694;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=543623;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9133265600539744, 'learning_rate': 8.43575648854942e-06, 'epoch': 28.28})   +03/15 [05:36:11] INFO  | >> Step 11700, Loss: {'action_dit_loss': 0.07838650047779083, 'mse_score': 0.0013400574214756488, ]8;id=655788;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=463513;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0024986369535326958, 'model_time': 1.9134956109337509, 'learning_rate': 8.413556370312696e-06,   +  'epoch': 28.4})   +03/15 [05:37:47] INFO  | >> Step 11750, Loss: {'action_dit_loss': 0.3382694125175476, 'data_time': 0.000150999054312706, ]8;id=575898;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=137377;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9130400069989264, 'learning_rate': 8.391231360287348e-06, 'epoch': 28.52})   +03/15 [05:39:26] INFO  | >> Step 11800, Loss: {'action_dit_loss': 0.4622786045074463, 'mse_score': 0.0010889973491430283, ]8;id=732168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=508257;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015265913680195808, 'model_time': 1.9194901417940855, 'learning_rate':   +  8.368782339826543e-06, 'epoch': 28.64})   +03/15 [05:41:03] INFO  | >> Step 11850, Loss: {'action_dit_loss': 0.09414047002792358, 'data_time': 0.0024584997445344925, ]8;id=838141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=250921;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9164481591433287, 'learning_rate': 8.346210195179175e-06, 'epoch': 28.76})   +03/15 [05:42:41] INFO  | >> Step 11900, Loss: {'action_dit_loss': 0.24133466184139252, 'mse_score': 0.0008216539397835731, ]8;id=14338;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=579077;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002374631818383932, 'model_time': 1.913014508318156, 'learning_rate': 8.323515817454862e-06,   +  'epoch': 28.88})   +03/15 [05:44:17] INFO  | >> Step 11950, Loss: {'action_dit_loss': 0.7451753616333008, 'data_time': 0.00015495764091610909, ]8;id=957276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=118972;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9169527892954648, 'learning_rate': 8.300700102588777e-06, 'epoch': 29.0})   +03/15 [05:45:55] INFO  | >> Step 12000, Loss: {'action_dit_loss': 0.24447643756866455, 'mse_score': 0.0003123030066490173, ]8;id=872565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=161450;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014328397810459137, 'model_time': 1.916179901920259, 'learning_rate': 8.277763951306277e-06,   +  'epoch': 29.13})   +03/15 [05:47:32] INFO  | >> Step 12050, Loss: {'action_dit_loss': 0.5102733373641968, 'data_time': 0.0016409480012953281, ]8;id=533590;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=739677;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9115890199318528, 'learning_rate': 8.254708269087342e-06, 'epoch': 29.25})   +03/15 [05:49:10] INFO  | >> Step 12100, Loss: {'action_dit_loss': 0.11918162554502487, 'mse_score': 0.0024578675627708437, ]8;id=495158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=255570;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015888921916484833, 'model_time': 1.9180624322034419, 'learning_rate':   +  8.231533966130827e-06, 'epoch': 29.37})   +03/15 [05:50:46] INFO  | >> Step 12150, Loss: {'action_dit_loss': 0.2234661877155304, 'data_time': 0.00016702106222510338, ]8;id=199869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=966648;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9151380420662463, 'learning_rate': 8.208241957318535e-06, 'epoch': 29.49})   +03/15 [05:52:24] INFO  | >> Step 12200, Loss: {'action_dit_loss': 0.6016519069671631, 'mse_score': 0.0010570844635367394, ]8;id=143139;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=905997;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0022988650016486645, 'model_time': 1.918087256141007, 'learning_rate': 8.18483316217909e-06,   +  'epoch': 29.61})   +03/15 [05:54:01] INFO  | >> Step 12250, Loss: {'action_dit_loss': 0.11028622835874557, 'data_time': 0.0016933106817305088, ]8;id=895916;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=435098;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9177938560023904, 'learning_rate': 8.16130850485164e-06, 'epoch': 29.73})   +03/15 [05:55:40] INFO  | >> Step 12300, Loss: {'action_dit_loss': 0.5285568833351135, 'mse_score': 0.0016660463064908982, ]8;id=280150;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=860408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001470702700316906, 'model_time': 1.9190832017920911, 'learning_rate': 8.137668914049377e-06,   +  'epoch': 29.85})   +03/15 [05:57:16] INFO  | >> Step 12350, Loss: {'action_dit_loss': 0.36621400713920593, 'data_time': 0.002556357067078352, ]8;id=878157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=615448;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9190934817306697, 'learning_rate': 8.113915323022868e-06, 'epoch': 29.98})   +03/15 [05:58:54] INFO  | >> Step 12400, Loss: {'action_dit_loss': 0.18811030685901642, 'mse_score': 0.000647785421460867, ]8;id=155813;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=468238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0016315667890012264, 'model_time': 1.9118505357764661, 'learning_rate': 8.090048669523216e-06,   +  'epoch': 30.1})   +03/15 [06:00:30] INFO  | >> Step 12450, Loss: {'action_dit_loss': 0.498941570520401, 'data_time': 0.00017844978719949722, ]8;id=578727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=799929;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9109601750969887, 'learning_rate': 8.066069895765034e-06, 'epoch': 30.22})   +03/15 [06:02:08] INFO  | >> Step 12500, Loss: {'action_dit_loss': 0.03693784773349762, 'mse_score': 0.0016521714627742768, ]8;id=337408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911843;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016257865354418755, 'model_time': 1.9162452700547874, 'learning_rate':   +  8.041979948389248e-06, 'epoch': 30.34})   +03/15 [06:03:44] INFO  | >> Step 12550, Loss: {'action_dit_loss': 0.17586767673492432, 'data_time': 0.0023303041234612465, ]8;id=401574;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=244907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 2.1470913109369576, 'learning_rate': 8.017779778425737e-06, 'epoch': 30.46})   +03/15 [06:05:23] INFO  | >> Step 12600, Loss: {'action_dit_loss': 0.47676992416381836, 'mse_score': 0.001047021895647049, ]8;id=333632;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=780879;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0015846248716115952, 'model_time': 1.9137655887752771, 'learning_rate': 7.993470341255771e-06,   +  'epoch': 30.58})   +03/15 [06:07:00] INFO  | >> Step 12650, Loss: {'action_dit_loss': 0.026089925318956375, 'data_time': 0.002691240981221199, ]8;id=399749;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=404832;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9164832388050854, 'learning_rate': 7.969052596574309e-06, 'epoch': 30.7})   +03/15 [06:08:38] INFO  | >> Step 12700, Loss: {'action_dit_loss': 0.290780246257782, 'mse_score': 0.0008548997342586517, ]8;id=159493;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=519389;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001504700630903244, 'model_time': 1.9149538599886, 'learning_rate': 7.944527508352094e-06,   +  'epoch': 30.83})   +03/15 [06:10:14] INFO  | >> Step 12750, Loss: {'action_dit_loss': 0.29393360018730164, 'data_time': 0.0024253111332654953, ]8;id=348121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9118037638254464, 'learning_rate': 7.919896044797622e-06, 'epoch': 30.95})   +03/15 [06:11:52] INFO  | >> Step 12800, Loss: {'action_dit_loss': 0.14209526777267456, 'mse_score': 0.00034249366726726296, ]8;id=104555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=551499;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015131989493966103, 'model_time': 1.9166964278556406, 'learning_rate':   +  7.895159178318894e-06, 'epoch': 31.07})   +03/15 [06:13:29] INFO  | >> Step 12850, Loss: {'action_dit_loss': 0.13163793087005615, 'data_time': 0.00014616921544075012, ]8;id=151157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=429893;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 2.164195051882416, 'learning_rate': 7.870317885485044e-06, 'epoch': 31.19})   +03/15 [06:15:07] INFO  | >> Step 12900, Loss: {'action_dit_loss': 0.12058556824922562, 'mse_score': 0.001627597026526928, ]8;id=492296;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=819488;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0021748817525804043, 'model_time': 1.9163361149840057, 'learning_rate': 7.84537314698778e-06,   +  'epoch': 31.31})   +03/15 [06:16:43] INFO  | >> Step 12950, Loss: {'action_dit_loss': 0.07549925148487091, 'data_time': 0.00015714997425675392, ]8;id=416791;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=681403;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9152715816162527, 'learning_rate': 7.82032594760266e-06, 'epoch': 31.43})   +03/15 [06:18:21] INFO  | >> Step 13000, Loss: {'action_dit_loss': 0.3744961619377136, 'mse_score': 0.002161760628223419, ]8;id=707115;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=901085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0022218511439859867, 'model_time': 1.9142879960127175, 'learning_rate': 7.795177276150234e-06,   +  'epoch': 31.55})   +03/15 [06:19:57] INFO  | >> Step 13050, Loss: {'action_dit_loss': 0.16875731945037842, 'data_time': 0.0021165814250707626, ]8;id=753629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=930546;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9128282903693616, 'learning_rate': 7.769928125456987e-06, 'epoch': 31.67})   +03/15 [06:21:36] INFO  | >> Step 13100, Loss: {'action_dit_loss': 0.20997226238250732, 'mse_score': 0.0009622342884540557, ]8;id=37642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=647453;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017995992675423622, 'model_time': 1.914922977797687, 'learning_rate': 7.744579492316155e-06,   +  'epoch': 31.8})   +03/15 [06:23:13] INFO  | >> Step 13150, Loss: {'action_dit_loss': 0.11083688586950302, 'data_time': 0.0001620589755475521, ]8;id=965664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=301338;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9148493292741477, 'learning_rate': 7.719132377448369e-06, 'epoch': 31.92})   +03/15 [06:24:51] INFO  | >> Step 13200, Loss: {'action_dit_loss': 0.09812261909246445, 'mse_score': 0.0008395100943744182, ]8;id=103225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=797305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00014556106179952621, 'model_time': 1.9151859302073717, 'learning_rate':   +  7.693587785462156e-06, 'epoch': 32.04})   +03/15 [06:26:27] INFO  | >> Step 13250, Loss: {'action_dit_loss': 0.32259601354599, 'data_time': 0.0018449700437486172, ]8;id=465230;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=174446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9114084369502962, 'learning_rate': 7.667946724814264e-06, 'epoch': 32.16})   +03/15 [06:28:05] INFO  | >> Step 13300, Loss: {'action_dit_loss': 0.04839692264795303, 'mse_score': 0.0017189349979162215, ]8;id=48225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=340131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00334000401198864, 'model_time': 1.915097501128912, 'learning_rate': 7.642210207769864e-06,   +  'epoch': 32.28})   +03/15 [06:29:41] INFO  | >> Step 13350, Loss: {'action_dit_loss': 0.29630783200263977, 'data_time': 0.00015381071716547012, ]8;id=393049;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=451607;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9175541470758617, 'learning_rate': 7.616379250362582e-06, 'epoch': 32.4})   +03/15 [06:31:19] INFO  | >> Step 13400, Loss: {'action_dit_loss': 0.25971007347106934, 'mse_score': 0.0003731128526851535, ]8;id=593418;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=714919;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00014799972996115685, 'model_time': 2.1628274121321738, 'learning_rate':   +  7.590454872354386e-06, 'epoch': 32.52})   +03/15 [06:32:56] INFO  | >> Step 13450, Loss: {'action_dit_loss': 0.06652204692363739, 'data_time': 0.0001528100110590458, ]8;id=82804;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=639098;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9178370726294816, 'learning_rate': 7.564438097195329e-06, 'epoch': 32.65})   +03/15 [06:34:35] INFO  | >> Step 13500, Loss: {'action_dit_loss': 0.16391074657440186, 'mse_score': 0.000307099218480289, ]8;id=252528;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=521841;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001437799073755741, 'model_time': 1.9157142620533705, 'learning_rate': 7.538329951983148e-06,   +  'epoch': 32.77})   +03/15 [06:36:11] INFO  | >> Step 13550, Loss: {'action_dit_loss': 0.4383416473865509, 'data_time': 0.0030443589203059673, ]8;id=483550;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=668891;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.911130549851805, 'learning_rate': 7.512131467422712e-06, 'epoch': 32.89})   +03/15 [06:37:49] INFO  | >> Step 13600, Loss: {'action_dit_loss': 0.06792379170656204, 'mse_score': 0.0002462951699271798, ]8;id=9853;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=942573;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015927990898489952, 'model_time': 1.9168425630778074, 'learning_rate':   +  7.485843677785332e-06, 'epoch': 33.01})   +03/15 [06:39:25] INFO  | >> Step 13650, Loss: {'action_dit_loss': 0.2455136477947235, 'data_time': 0.00014874013140797615, ]8;id=710526;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=573149;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.916497000027448, 'learning_rate': 7.459467620867929e-06, 'epoch': 33.13})   +03/15 [06:41:04] INFO  | >> Step 13700, Loss: {'action_dit_loss': 0.022801881656050682, 'mse_score': 0.0009804785251617432, ]8;id=362351;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=616113;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002458545845001936, 'model_time': 1.9152869540266693, 'learning_rate': 7.433004337952069e-06,   +  'epoch': 33.25})   +03/15 [06:42:40] INFO  | >> Step 13750, Loss: {'action_dit_loss': 0.034238915890455246, 'data_time': 0.0001549404114484787, ]8;id=262246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=479027;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9150973190553486, 'learning_rate': 7.406454873762848e-06, 'epoch': 33.37})   +03/15 [06:44:18] INFO  | >> Step 13800, Loss: {'action_dit_loss': 0.4291325509548187, 'mse_score': 0.000795779749751091, ]8;id=894787;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=506680;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002563214860856533, 'model_time': 1.912310223095119, 'learning_rate': 7.3798202764276546e-06,   +  'epoch': 33.5})   +03/15 [06:45:54] INFO  | >> Step 13850, Loss: {'action_dit_loss': 0.08187472820281982, 'data_time': 0.002505395095795393, ]8;id=376395;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=602733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.916825626976788, 'learning_rate': 7.353101597434784e-06, 'epoch': 33.62})   +03/15 [06:47:33] INFO  | >> Step 13900, Loss: {'action_dit_loss': 0.21989090740680695, 'mse_score': 0.0009269311092793941, ]8;id=870357;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=690203;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014596069231629372, 'model_time': 1.9153812006115913, 'learning_rate': 7.326299891591931e-06,   +  'epoch': 33.74})   +03/15 [06:49:09] INFO  | >> Step 13950, Loss: {'action_dit_loss': 0.3460114002227783, 'data_time': 0.0021859146654605865, ]8;id=907088;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=719112;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.912942435592413, 'learning_rate': 7.299416216984556e-06, 'epoch': 33.86})   +03/15 [06:50:48] INFO  | >> Step 14000, Loss: {'action_dit_loss': 0.18042701482772827, 'mse_score': 0.001382190454751253, ]8;id=635863;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=781369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001486591063439846, 'model_time': 1.9187278687022626, 'learning_rate': 7.272451634934096e-06,   +  'epoch': 33.98})   +03/15 [06:52:24] INFO  | >> Step 14050, Loss: {'action_dit_loss': 0.1525077521800995, 'data_time': 0.003280491102486849, ]8;id=300096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=813423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9116832367144525, 'learning_rate': 7.245407209956081e-06, 'epoch': 34.1})   +03/15 [06:54:02] INFO  | >> Step 14100, Loss: {'action_dit_loss': 0.47724416851997375, 'mse_score': 0.001847592741250992, ]8;id=369435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=229642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016045896336436272, 'model_time': 1.9174623331055045, 'learning_rate':   +  7.218284009718102e-06, 'epoch': 34.22})   +03/15 [06:55:38] INFO  | >> Step 14150, Loss: {'action_dit_loss': 0.0337054580450058, 'data_time': 0.0015779254026710987, ]8;id=710687;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=792280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9142642049118876, 'learning_rate': 7.191083104997659e-06, 'epoch': 34.34})   +03/15 [06:57:16] INFO  | >> Step 14200, Loss: {'action_dit_loss': 0.37604665756225586, 'mse_score': 0.0012388082221150398, ]8;id=879060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=143423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0023550428450107574, 'model_time': 1.9123661071062088, 'learning_rate': 7.163805569639899e-06,   +  'epoch': 34.47})   +03/15 [06:58:53] INFO  | >> Step 14250, Loss: {'action_dit_loss': 0.07785183936357498, 'data_time': 0.00016404921188950539, ]8;id=677737;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=41337;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9193402058444917, 'learning_rate': 7.136452480515208e-06, 'epoch': 34.59})   +03/15 [07:00:32] INFO  | >> Step 14300, Loss: {'action_dit_loss': 0.36357825994491577, 'mse_score': 0.0007800675928592681, ]8;id=607727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=382584;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0013814601115882397, 'model_time': 1.9130164179950953, 'learning_rate': 7.109024917476712e-06,   +  'epoch': 34.71})   +03/15 [07:02:08] INFO  | >> Step 14350, Loss: {'action_dit_loss': 0.3072119951248169, 'data_time': ]8;id=309445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=342589;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013915509916841984, 'model_time': 1.9128935770131648, 'learning_rate':   +  7.0815239633176345e-06, 'epoch': 34.83})   +03/15 [07:03:46] INFO  | >> Step 14400, Loss: {'action_dit_loss': 0.12186171114444733, 'mse_score': ]8;id=138579;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=824718;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0008230711333453655, 'data_time': 0.00015598908066749573, 'model_time':   +  1.9151972350664437, 'learning_rate': 7.053950703728557e-06, 'epoch': 34.95})   +03/15 [07:05:22] INFO  | >> Step 14450, Loss: {'action_dit_loss': 0.04866374656558037, 'data_time': ]8;id=526169;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=957860;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015154900029301643, 'model_time': 1.9162211371585727, 'learning_rate':   +  7.026306227254553e-06, 'epoch': 35.07})   +03/15 [07:07:01] INFO  | >> Step 14500, Loss: {'action_dit_loss': 0.13296014070510864, 'mse_score': ]8;id=958449;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=864749;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013900096528232098, 'data_time': 0.002419037278741598, 'model_time':   +  1.915296328254044, 'learning_rate': 6.9985916252522225e-06, 'epoch': 35.19})   +03/15 [07:08:38] INFO  | >> Step 14550, Loss: {'action_dit_loss': 0.018435023725032806, 'data_time': ]8;id=782824;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=912677;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015422934666275978, 'model_time': 1.9147239970043302, 'learning_rate':   +  6.9708079918465935e-06, 'epoch': 35.32})   +03/15 [07:10:16] INFO  | >> Step 14600, Loss: {'action_dit_loss': 0.2645905017852783, 'mse_score': ]8;id=78957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=147594;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001166936196386814, 'data_time': 0.0015418422408401966, 'model_time':   +  1.9118365170434117, 'learning_rate': 6.942956423887941e-06, 'epoch': 35.44})   +03/15 [07:11:52] INFO  | >> Step 14650, Loss: {'action_dit_loss': 0.08605026453733444, 'data_time': ]8;id=759396;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=707166;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023214691318571568, 'model_time': 1.9125897302292287, 'learning_rate':   +  6.915038020908481e-06, 'epoch': 35.56})   +03/15 [07:13:31] INFO  | >> Step 14700, Loss: {'action_dit_loss': 0.19340619444847107, 'mse_score': ]8;id=383542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=94689;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001117248274385929, 'data_time': 0.00016284920275211334, 'model_time':   +  1.9150891257449985, 'learning_rate': 6.887053885078956e-06, 'epoch': 35.68})   +03/15 [07:15:07] INFO  | >> Step 14750, Loss: {'action_dit_loss': 0.5258976817131042, 'data_time': ]8;id=562636;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=129592;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017600925639271736, 'model_time': 1.9176678229123354, 'learning_rate':   +  6.859005121165135e-06, 'epoch': 35.8})   +03/15 [07:16:45] INFO  | >> Step 14800, Loss: {'action_dit_loss': 0.13774248957633972, 'mse_score': ]8;id=705000;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=274896;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00027747072745114564, 'data_time': 0.00016464898362755775, 'model_time':   +  1.9158298410475254, 'learning_rate': 6.830892836484188e-06, 'epoch': 35.92})   +03/15 [07:18:22] INFO  | >> Step 14850, Loss: {'action_dit_loss': 0.09511911123991013, 'data_time': ]8;id=985967;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=389518;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015342002734541893, 'model_time': 1.9156129881739616, 'learning_rate':   +  6.802718140860976e-06, 'epoch': 36.04})   diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_231623-3mz29zso/files/requirements.txt b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_231623-3mz29zso/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..33491c4b7fdcd2a21a3c18e0df523fddefb31ef2 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314/wandb/wandb/run-20260314_231623-3mz29zso/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 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