diff --git a/.gitattributes b/.gitattributes index 197298f5994b10154a6b272bec6463d8d571dd31..b81df604a64857b2702284f13560653e9405b063 100644 --- a/.gitattributes +++ b/.gitattributes @@ -56,3 +56,4 @@ fastumi_pickandplace_qwenDiscreteDiffusion_dynamic_1/wandb/wandb/run-20260328_20 fastumi_pickandplace_qwenDiscreteDiffusion_329v2/wandb/wandb/run-20260330_085553-rk4vla0z/run-rk4vla0z.wandb filter=lfs diff=lfs merge=lfs -text wandb/wandb/run-20260330_213657-3rc55aw0/run-3rc55aw0.wandb filter=lfs diff=lfs merge=lfs -text fastumi_pickandplace_qwenPI_329v2/wandb/wandb/run-20260330_213657-3rc55aw0/run-3rc55aw0.wandb filter=lfs diff=lfs merge=lfs -text +fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/run-8iyo5o8r.wandb filter=lfs diff=lfs merge=lfs -text diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/checkpoints/steps_10000_pytorch_model.pt b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/checkpoints/steps_10000_pytorch_model.pt new file mode 100644 index 0000000000000000000000000000000000000000..bf2e9c96565f9b2681050a5906e3c9d1fac70e0c --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/checkpoints/steps_10000_pytorch_model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3fe533b474fc258795cc15f5d0033144d7abed215da9e7add345766a42865db3 +size 12492717308 diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/checkpoints/steps_20000_pytorch_model.pt b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/checkpoints/steps_20000_pytorch_model.pt new file mode 100644 index 0000000000000000000000000000000000000000..62b9ec4c2403d7eabf7bc04d8917c8e35ae6eca8 --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/checkpoints/steps_20000_pytorch_model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a842e1f4e6d69c74362c756e048537bb138576ea976514c9e5168dd06000149d +size 12492717308 diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/config.yaml b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..aff3b04b1d2bac50b3545364b9fc49739281bc73 --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/config.yaml @@ -0,0 +1,79 @@ +datasets: + vla_data: + action_mode: abs + data_mix: dynamic-329-v3 + data_root_dir: playground/Datasets/FastUMI + dataset_py: lerobot_datasets + image_size: + - 224 + - 224 + per_device_batch_size: 8 + video_backend: torchvision_av +framework: + action_model: + action_dim: 10 + action_high: 1.0 + action_low: -1.0 + add_pos_embed: true + decode_schedule: cosine + diffusion_model_cfg: + attention_head_dim: 64 + cross_attention_dim: 2048 + dropout: 0.2 + final_dropout: true + input_embedding_dim: 2048 + interleave_self_attention: 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_qwenDiscreteDiffusion_329v3 +run_id: fastumi_pickandplace_qwenDiscreteDiffusion_329v3 +run_root_dir: ./results/Checkpoints +seed: 42 +trainer: + eval_interval: 100 + freeze_modules: null + gradient_accumulation_steps: 1 + gradient_clipping: 1.0 + is_resume: true + 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: 50000 + 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_dynamic_1 diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/dataset_statistics.json b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/dataset_statistics.json new file mode 100644 index 0000000000000000000000000000000000000000..539ca4e3cc3315ca72237a2050efe39adef06aeb --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/dataset_statistics.json @@ -0,0 +1,178 @@ +{ + "new_embodiment": { + "action": { + "mean": [ + 0.0006432991940528154, + 0.0009634807938709855, + -9.118052548728883e-05, + 0.9999959468841553, + -0.0008729464025236666, + -8.53957226354396e-06, + 0.0008666703943163157, + 0.9999970197677612, + -0.0005251071415841579, + 0.5120490193367004 + ], + "std": [ + 0.0026197144761681557, + 0.002879155334085226, + 0.0031982071232050657, + 8.909853930613937e-05, + 0.0072983307763934135, + 0.005991943646222353, + 0.007297333795577288, + 7.357037999082025e-05, + 0.005136053077876568, + 0.4998091757297516 + ], + "max": [ + 0.011190327815711498, + 0.010144215077161789, + 0.010677814483642578, + 1.0, + 0.043421536684036255, + 0.0652143582701683, + 0.05654814839363098, + 1.0000001192092896, + 0.02879449911415577, + 1.0 + ], + "min": [ + -0.011801300570368767, + -0.008821047842502594, + -0.010626457631587982, + 0.9975016713142395, + -0.05672281235456467, + -0.04710385575890541, + -0.043404895812273026, + 0.9983804225921631, + -0.03583384305238724, + 0.0 + ], + "q01": [ + -0.005899276537820697, + -0.006047602798789739, + -0.007739621121436358, + 0.9996568787097931, + -0.019770121090114116, + -0.015768171809613703, + -0.017632264085114, + 0.9997100460529328, + -0.014033452216535807, + 0.0 + ], + "q99": [ + 0.007427173480391503, + 0.007066168673336507, + 0.007203580262139443, + 0.9999997019767761, + 0.017616736479103584, + 0.014461295381188453, + 0.019751042537391232, + 0.9999997615814209, + 0.012260063886642468, + 1.0 + ], + "mask": [ + true, + true, + true, + true, + true, + true, + true, + true, + true, + false + ], + "norm_modes": [ + "min_max", + "min_max", + "min_max", + "none", + "none", + "none", + "none", + "none", + "none", + "binary" + ] + }, + "state": { + "mean": [ + 0.27271032333374023, + -0.446323037147522, + 0.1041000559926033, + -0.59544438123703, + 0.37788620591163635, + -0.6611562967300415, + 0.667895495891571, + 0.31084170937538147, + -0.42228883504867554, + 0.5119883418083191 + ], + "std": [ + 0.043663933873176575, + 0.0719655305147171, + 0.06168781593441963, + 0.05646670609712601, + 0.24672336876392365, + 0.0382271967828272, + 0.4340234696865082, + 0.08751874417066574, + 0.28798049688339233, + 0.49981093406677246 + ], + "max": [ + 0.4219360053539276, + -0.17201299965381622, + 0.33353498578071594, + -0.34213387966156006, + 0.6040946245193481, + -0.5470927953720093, + 0.9302739500999451, + 0.70821213722229, + 0.611838161945343, + 1.0 + ], + "min": [ + 0.12113799899816513, + -0.5658149719238281, + 0.011877999641001225, + -0.745457112789154, + -0.5488103032112122, + -0.7786615490913391, + -0.8129586577415466, + -0.03098832629621029, + -0.6885839700698853, + 0.0 + ], + "q01": [ + 0.15309083521366118, + -0.5302998530864715, + 0.01954999938607216, + -0.7032991063594818, + -0.47749382197856904, + -0.7447073876857757, + -0.7802488780021668, + 0.07434731468558312, + -0.6129826271533966, + 0.0 + ], + "q99": [ + 0.38105886042118076, + -0.27944067239761344, + 0.27689720153808595, + -0.4402932196855544, + 0.5639739322662355, + -0.5716438913345336, + 0.8863004243373871, + 0.5411446142196659, + 0.5678422379493714, + 1.0 + ] + }, + "num_transitions": 65939, + "num_trajectories": 525 + } +} \ No newline at end of file diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/summary.jsonl b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/summary.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5fc9a467e723e9548ed0236eda9e6c291623c4ad --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/summary.jsonl @@ -0,0 +1,2 @@ +{"steps": 10000} +{"steps": 20000} diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/debug-internal.log b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/debug-internal.log new file mode 100644 index 0000000000000000000000000000000000000000..f358a543d56b251b56c1051fb03f80560874117f --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/debug-internal.log @@ -0,0 +1,6 @@ +{"time":"2026-04-01T08:09:31.716368312Z","level":"INFO","msg":"stream: starting","core version":"0.25.0"} +{"time":"2026-04-01T08:09:31.999909493Z","level":"INFO","msg":"stream: created new stream","id":"8iyo5o8r"} +{"time":"2026-04-01T08:09:32.000126723Z","level":"INFO","msg":"stream: started","id":"8iyo5o8r"} +{"time":"2026-04-01T08:09:32.000148633Z","level":"INFO","msg":"handler: started","stream_id":"8iyo5o8r"} +{"time":"2026-04-01T08:09:32.000204322Z","level":"INFO","msg":"sender: started","stream_id":"8iyo5o8r"} +{"time":"2026-04-01T08:09:32.000215842Z","level":"INFO","msg":"writer: started","stream_id":"8iyo5o8r"} diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/debug.log b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/debug.log new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/files/output.log b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..d714889e59cd5e1f2356d7f79ad5842d3f7847d4 --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/files/output.log @@ -0,0 +1,982 @@ +04/01 [08:09:32] INFO  | >> ***** Training Configuration ***** ]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#341\341]8;;\ +  INFO  | >> Total optimization steps = 50000 ]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#342\342]8;;\ +  INFO  | >> Per device batch size = 8 ]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#343\343]8;;\ +  INFO  | >> Gradient accumulation steps = 1 ]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#344\344]8;;\ +  INFO  | >> Total batch size = 64 ]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#345\345]8;;\ + 2%|█▎ | 800/50000 [25:49<26:08:15, 1.91s/it, data_times=0.001, model_times=1.909] +04/01 [08:11:09] INFO  | >> Step 50, Loss: {'action_dit_loss': 5.07023811340332, 'data_time': 0.00018178403843194246, 'model_time': ]8;id=376417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=888662;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.921812456974294, 'learning_rate': 1.0000000000000001e-07, 'epoch': 0.05})   +04/01 [08:12:48] INFO  | >> Step 100, Loss: {'action_dit_loss': 3.401233196258545, 'mse_score': 0.01937020421028137, 'data_time': ]8;id=45561;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=765179;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001502870989497751, 'model_time': 1.9193359990022145, 'learning_rate': 2.0000000000000002e-07, 'epoch': 0.1})   +04/01 [08:14:24] INFO  | >> Step 150, Loss: {'action_dit_loss': 3.2248919010162354, 'data_time': 0.0032725990167818964, 'model_time': ]8;id=396922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=82627;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.909699799027294, 'learning_rate': 3.0000000000000004e-07, 'epoch': 0.15})   +04/01 [08:16:02] INFO  | >> Step 200, Loss: {'action_dit_loss': 3.147846221923828, 'mse_score': 0.01732666790485382, 'data_time': ]8;id=648564;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=928463;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014853698667138815, 'model_time': 1.9154027900076471, 'learning_rate': 4.0000000000000003e-07, 'epoch': 0.19})   +04/01 [08:17:37] INFO  | >> Step 250, Loss: {'action_dit_loss': 2.9223015308380127, 'data_time': 0.0022721730056218803, 'model_time': ]8;id=738797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=72933;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9083079749834724, 'learning_rate': 5.000000000000001e-07, 'epoch': 0.24})   +04/01 [08:19:15] INFO  | >> Step 300, Loss: {'action_dit_loss': 2.879845142364502, 'mse_score': 0.015428069233894347, 'data_time': ]8;id=303445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=83667;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001463579828850925, 'model_time': 1.919395748001989, 'learning_rate': 6.000000000000001e-07, 'epoch': 0.29})   +04/01 [08:20:51] INFO  | >> Step 350, Loss: {'action_dit_loss': 2.884570598602295, 'data_time': 0.0001579680247232318, 'model_time': ]8;id=398591;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=291476;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9137143680127338, 'learning_rate': 7.000000000000001e-07, 'epoch': 0.34})   +04/01 [08:22:29] INFO  | >> Step 400, Loss: {'action_dit_loss': 3.1452856063842773, 'mse_score': 0.023153841495513916, 'data_time': ]8;id=170555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=388162;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0021682659862563014, 'model_time': 2.004219830967486, 'learning_rate': 8.000000000000001e-07, 'epoch': 0.39})   +04/01 [08:24:05] INFO  | >> Step 450, Loss: {'action_dit_loss': 2.5732312202453613, 'data_time': 0.00018906797049567103, 'model_time': ]8;id=735911;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=982153;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9155357379931957, 'learning_rate': 9.000000000000001e-07, 'epoch': 0.44})   +04/01 [08:25:43] INFO  | >> Step 500, Loss: {'action_dit_loss': 2.8097152709960938, 'mse_score': 0.019867274165153503, 'data_time': ]8;id=665822;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=179451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002298180013895035, 'model_time': 1.9148025049944408, 'learning_rate': 1.0000000000000002e-06, 'epoch': 0.48})   +04/01 [08:27:19] INFO  | >> Step 550, Loss: {'action_dit_loss': 2.518815040588379, 'data_time': 0.0014803779777139425, 'model_time': ]8;id=484714;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=397887;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.913456733978819, 'learning_rate': 1.1e-06, 'epoch': 0.53})   +04/01 [08:28:57] INFO  | >> Step 600, Loss: {'action_dit_loss': 2.53916072845459, 'mse_score': 0.014052042365074157, 'data_time': ]8;id=584004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=230283;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014643900794908404, 'model_time': 1.9112491199630313, 'learning_rate': 1.2000000000000002e-06, 'epoch': 0.58})   +04/01 [08:30:32] INFO  | >> Step 650, Loss: {'action_dit_loss': 2.077176094055176, 'data_time': 0.0001418089959770441, 'model_time': ]8;id=813694;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=58655;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9144929730100557, 'learning_rate': 1.3e-06, 'epoch': 0.63})   +04/01 [08:32:11] INFO  | >> Step 700, Loss: {'action_dit_loss': 2.118130922317505, 'mse_score': 0.00864405632019043, 'data_time': ]8;id=330776;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=420651;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014421300147660077, 'model_time': 1.9132464160211384, 'learning_rate': 1.4000000000000001e-06, 'epoch': 0.68})   +04/01 [08:33:46] INFO  | >> Step 750, Loss: {'action_dit_loss': 2.2433300018310547, 'data_time': 0.00014658900909125805, 'model_time': ]8;id=988712;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=594731;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9119227530318312, 'learning_rate': 1.5e-06, 'epoch': 0.73})   +04/01 [08:35:24] INFO  | >> Step 800, Loss: {'action_dit_loss': 1.8983594179153442, 'mse_score': 0.005637279525399208, 'data_time': ]8;id=687277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=523481;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001272511959541589, 'model_time': 1.9092675980064087, 'learning_rate': 1.6000000000000001e-06, 'epoch': 0.78})   +04/01 [08:37:00] INFO  | >> Step 850, Loss: {'action_dit_loss': 1.993245244026184, 'data_time': 0.0013679619878530502, 'model_time': ]8;id=481141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=149811;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9118014110135846, 'learning_rate': 1.7000000000000002e-06, 'epoch': 0.82})   +04/01 [08:38:38] INFO  | >> Step 900, Loss: {'action_dit_loss': 2.351219654083252, 'mse_score': 0.006746991723775864, 'data_time': ]8;id=588637;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=565158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013650229666382074, 'model_time': 1.9132099279668182, 'learning_rate': 1.8000000000000001e-06, 'epoch': 0.87})   +04/01 [08:40:13] INFO  | >> Step 950, Loss: {'action_dit_loss': 2.032625198364258, 'data_time': 0.00014676002319902182, 'model_time': ]8;id=941435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=611878;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9114966979832388, 'learning_rate': 1.9000000000000002e-06, 'epoch': 0.92})   +04/01 [08:41:52] INFO  | >> Step 1000, Loss: {'action_dit_loss': 1.5854636430740356, 'mse_score': 0.0044275600463151935, 'data_time': ]8;id=534277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=517488;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015161000192165375, 'model_time': 1.913699304976035, 'learning_rate': 2.0000000000000003e-06, 'epoch': 0.97})   +04/01 [08:43:29] INFO  | >> Step 1050, Loss: {'action_dit_loss': 1.9707660675048828, 'data_time': 0.0001434889854863286, 'model_time': ]8;id=114975;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=160265;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9120463790022768, 'learning_rate': 2.1000000000000002e-06, 'epoch': 1.02})   +04/01 [08:45:07] INFO  | >> Step 1100, Loss: {'action_dit_loss': 1.9905455112457275, 'mse_score': 0.004210987314581871, 'data_time': ]8;id=442666;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=625380;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014390895375981927, 'model_time': 1.9130099039757624, 'learning_rate': 2.2e-06, 'epoch': 1.07})   +04/01 [08:46:42] INFO  | >> Step 1150, Loss: {'action_dit_loss': 2.2111105918884277, 'data_time': 0.00013761100126430392, 'model_time': ]8;id=490785;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=554816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9146047619869933, 'learning_rate': 2.3000000000000004e-06, 'epoch': 1.12})   +04/01 [08:48:20] INFO  | >> Step 1200, Loss: {'action_dit_loss': 1.7889244556427002, 'mse_score': 0.00587899424135685, 'data_time': ]8;id=12038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=713328;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0038607059977948666, 'model_time': 1.9096104860072955, 'learning_rate': 2.4000000000000003e-06, 'epoch': 1.16})   +04/01 [08:49:57] INFO  | >> Step 1250, Loss: {'action_dit_loss': 1.5244855880737305, 'data_time': 0.00015706999693065882, 'model_time': ]8;id=563054;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=787352;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9163512259838171, 'learning_rate': 2.5e-06, 'epoch': 1.21})   +04/01 [08:51:35] INFO  | >> Step 1300, Loss: {'action_dit_loss': 2.101205825805664, 'mse_score': 0.0063954837620258335, 'data_time': ]8;id=116970;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=307757;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015748001169413328, 'model_time': 1.9111555030103773, 'learning_rate': 2.6e-06, 'epoch': 1.26})   +04/01 [08:53:10] INFO  | >> Step 1350, Loss: {'action_dit_loss': 1.7574374675750732, 'data_time': 0.0029279629816301167, 'model_time': ]8;id=757168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=918398;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9102251510485075, 'learning_rate': 2.7000000000000004e-06, 'epoch': 1.31})   +04/01 [08:54:48] INFO  | >> Step 1400, Loss: {'action_dit_loss': 1.4067730903625488, 'mse_score': 0.004087051004171371, 'data_time': ]8;id=187330;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=532342;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001381061039865017, 'model_time': 1.9123438089736737, 'learning_rate': 2.8000000000000003e-06, 'epoch': 1.36})   +04/01 [08:56:24] INFO  | >> Step 1450, Loss: {'action_dit_loss': 1.6649651527404785, 'data_time': 0.0013533099554479122, 'model_time': ]8;id=312942;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=882554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9146987979765981, 'learning_rate': 2.9e-06, 'epoch': 1.41})   +04/01 [08:58:02] INFO  | >> Step 1500, Loss: {'action_dit_loss': 1.9380511045455933, 'mse_score': 0.00280399601906538, 'data_time': ]8;id=160263;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=392077;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014482002006843686, 'model_time': 1.9161387659842148, 'learning_rate': 3e-06, 'epoch': 1.45})   +04/01 [08:59:38] INFO  | >> Step 1550, Loss: {'action_dit_loss': 2.127574920654297, 'data_time': 0.0014613280072808266, 'model_time': ]8;id=816449;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=967242;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9155008409870788, 'learning_rate': 3.1000000000000004e-06, 'epoch': 1.5})   +04/01 [09:01:16] INFO  | >> Step 1600, Loss: {'action_dit_loss': 1.739929437637329, 'mse_score': 0.0037444405257701873, 'data_time': ]8;id=339902;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=512340;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0012851390056312084, 'model_time': 1.912481328996364, 'learning_rate': 3.2000000000000003e-06, 'epoch': 1.55})   +04/01 [09:02:52] INFO  | >> Step 1650, Loss: {'action_dit_loss': 1.6963181495666504, 'data_time': 0.00014438998186960816, 'model_time': ]8;id=921406;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=872064;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9150929630268365, 'learning_rate': 3.3000000000000006e-06, 'epoch': 1.6})   +04/01 [09:04:30] INFO  | >> Step 1700, Loss: {'action_dit_loss': 1.723405122756958, 'mse_score': 0.003181390091776848, 'data_time': ]8;id=252572;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=920659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0012577869929373264, 'model_time': 1.9165576689993031, 'learning_rate': 3.4000000000000005e-06, 'epoch': 1.65})   +04/01 [09:06:06] INFO  | >> Step 1750, Loss: {'action_dit_loss': 1.791291356086731, 'data_time': 0.0023971449700184166, 'model_time': ]8;id=767460;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=509597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9099870559875853, 'learning_rate': 3.5e-06, 'epoch': 1.7})   +04/01 [09:07:45] INFO  | >> Step 1800, Loss: {'action_dit_loss': 2.0545551776885986, 'mse_score': 0.003269174322485924, 'data_time': ]8;id=803035;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=131869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014836870250292122, 'model_time': 1.9113231819937937, 'learning_rate': 3.6000000000000003e-06, 'epoch': 1.75})   +04/01 [09:09:20] INFO  | >> Step 1850, Loss: {'action_dit_loss': 2.0447652339935303, 'data_time': 0.001526896026916802, 'model_time': ]8;id=576510;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=173148;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9140753530082293, 'learning_rate': 3.7e-06, 'epoch': 1.79})   +04/01 [09:10:58] INFO  | >> Step 1900, Loss: {'action_dit_loss': 1.7952511310577393, 'mse_score': 0.0029229940846562386, 'data_time': ]8;id=443692;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=222086;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001426690141670406, 'model_time': 1.9117217020248063, 'learning_rate': 3.8000000000000005e-06, 'epoch': 1.84})   +04/01 [09:12:34] INFO  | >> Step 1950, Loss: {'action_dit_loss': 1.853023648262024, 'data_time': 0.001619336020667106, 'model_time': ]8;id=723378;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=210922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9092900109826587, 'learning_rate': 3.900000000000001e-06, 'epoch': 1.89})   +04/01 [09:14:12] INFO  | >> Step 2000, Loss: {'action_dit_loss': 1.6670409440994263, 'mse_score': 0.0037425942718982697, 'data_time': ]8;id=681446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=391559;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022009540116414428, 'model_time': 1.9096661650110036, 'learning_rate': 4.000000000000001e-06, 'epoch': 1.94})   +04/01 [09:15:49] INFO  | >> Step 2050, Loss: {'action_dit_loss': 1.8187122344970703, 'data_time': 0.0014847759739495814, 'model_time': ]8;id=126882;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=259947;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9117099050199613, 'learning_rate': 4.1e-06, 'epoch': 1.99})   +04/01 [09:17:28] INFO  | >> Step 2100, Loss: {'action_dit_loss': 1.7879408597946167, 'mse_score': 0.0048279155045747755, 'data_time': ]8;id=616886;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=580828;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014057004591450095, 'model_time': 1.9136266770074144, 'learning_rate': 4.2000000000000004e-06, 'epoch': 2.04})   +04/01 [09:19:03] INFO  | >> Step 2150, Loss: {'action_dit_loss': 2.0717031955718994, 'data_time': 0.001410546014085412, 'model_time': ]8;id=74441;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=742225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9098848690045998, 'learning_rate': 4.3e-06, 'epoch': 2.09})   +04/01 [09:20:41] INFO  | >> Step 2200, Loss: {'action_dit_loss': 1.779867172241211, 'mse_score': 0.0034500516951084135, 'data_time': ]8;id=949401;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=32938;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0037021489697508514, 'model_time': 1.9173591050202958, 'learning_rate': 4.4e-06, 'epoch': 2.13})   +04/01 [09:22:17] INFO  | >> Step 2250, Loss: {'action_dit_loss': 2.413198709487915, 'data_time': 0.0001418089959770441, 'model_time': ]8;id=249565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=292004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.914382380025927, 'learning_rate': 4.5e-06, 'epoch': 2.18})   +04/01 [09:23:55] INFO  | >> Step 2300, Loss: {'action_dit_loss': 1.7350356578826904, 'mse_score': 0.003969273716211319, 'data_time': ]8;id=138739;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=758490;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014552997890859842, 'model_time': 1.9155707729514688, 'learning_rate': 4.600000000000001e-06, 'epoch': 2.23})   +04/01 [09:25:31] INFO  | >> Step 2350, Loss: {'action_dit_loss': 1.8128540515899658, 'data_time': 0.003195890982169658, 'model_time': ]8;id=495631;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=254801;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.1593231449951418, 'learning_rate': 4.7e-06, 'epoch': 2.28})   +04/01 [09:27:09] INFO  | >> Step 2400, Loss: {'action_dit_loss': 1.9795894622802734, 'mse_score': 0.0033346101641654967, 'data_time': ]8;id=199659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=98907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014027960132807493, 'model_time': 1.9148858690168709, 'learning_rate': 4.800000000000001e-06, 'epoch': 2.33})   +04/01 [09:28:45] INFO  | >> Step 2450, Loss: {'action_dit_loss': 1.4911483526229858, 'data_time': 0.00014846998965367675, 'model_time': ]8;id=444154;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=431071;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9137657369719818, 'learning_rate': 4.9000000000000005e-06, 'epoch': 2.38})   +04/01 [09:30:23] INFO  | >> Step 2500, Loss: {'action_dit_loss': 1.9672200679779053, 'mse_score': 0.003495962172746658, 'data_time': ]8;id=706073;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=685197;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015226000687107444, 'model_time': 1.9138189369696192, 'learning_rate': 5e-06, 'epoch': 2.42})   +04/01 [09:31:59] INFO  | >> Step 2550, Loss: {'action_dit_loss': 1.6837162971496582, 'data_time': 0.00014000898227095604, 'model_time': ]8;id=763587;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=355784;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9120209550019354, 'learning_rate': 5.1e-06, 'epoch': 2.47})   +04/01 [09:33:37] INFO  | >> Step 2600, Loss: {'action_dit_loss': 2.070565700531006, 'mse_score': 0.0028883365914225577, 'data_time': ]8;id=200896;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=199448;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0036191390245221555, 'model_time': 1.9146472130087204, 'learning_rate': 5.2e-06, 'epoch': 2.52})   +04/01 [09:35:13] INFO  | >> Step 2650, Loss: {'action_dit_loss': 1.6355377435684204, 'data_time': 0.0001449900446459651, 'model_time': ]8;id=192401;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=292075;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9138143840245903, 'learning_rate': 5.300000000000001e-06, 'epoch': 2.57})   +04/01 [09:36:51] INFO  | >> Step 2700, Loss: {'action_dit_loss': 1.6243910789489746, 'mse_score': 0.005775414034724235, 'data_time': ]8;id=79046;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=464656;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015014997916296124, 'model_time': 1.9146803820040077, 'learning_rate': 5.400000000000001e-06, 'epoch': 2.62})   +04/01 [09:38:27] INFO  | >> Step 2750, Loss: {'action_dit_loss': 1.601369857788086, 'data_time': 0.00504522497067228, 'model_time': ]8;id=102664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=53045;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.909415460017044, 'learning_rate': 5.500000000000001e-06, 'epoch': 2.67})   +04/01 [09:40:05] INFO  | >> Step 2800, Loss: {'action_dit_loss': 2.208087205886841, 'mse_score': 0.003974219784140587, 'data_time': ]8;id=97793;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=971366;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014708901289850473, 'model_time': 1.9118882159818895, 'learning_rate': 5.600000000000001e-06, 'epoch': 2.72})   +04/01 [09:41:40] INFO  | >> Step 2850, Loss: {'action_dit_loss': 1.5670747756958008, 'data_time': 0.0001479100319556892, 'model_time': ]8;id=426156;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=509231;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9146012719720602, 'learning_rate': 5.7e-06, 'epoch': 2.76})   +04/01 [09:43:19] INFO  | >> Step 2900, Loss: {'action_dit_loss': 1.78837251663208, 'mse_score': 0.0028774304315447806, 'data_time': ]8;id=946279;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=61483;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000143329962156713, 'model_time': 1.9137157700024545, 'learning_rate': 5.8e-06, 'epoch': 2.81})   +04/01 [09:44:55] INFO  | >> Step 2950, Loss: {'action_dit_loss': 1.460801362991333, 'data_time': 0.0034291899646632373, 'model_time': ]8;id=278085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=971524;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9159937389777042, 'learning_rate': 5.9e-06, 'epoch': 2.86})   +04/01 [09:46:33] INFO  | >> Step 3000, Loss: {'action_dit_loss': 1.6231176853179932, 'mse_score': 0.0019926438108086586, 'data_time': ]8;id=443555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=730429;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001265636004973203, 'model_time': 1.911205261014402, 'learning_rate': 6e-06, 'epoch': 2.91})   +04/01 [09:48:08] INFO  | >> Step 3050, Loss: {'action_dit_loss': 1.5226752758026123, 'data_time': 0.0023010929580777884, 'model_time': ]8;id=753305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=510311;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9132660530158319, 'learning_rate': 6.1e-06, 'epoch': 2.96})   +04/01 [09:49:47] INFO  | >> Step 3100, Loss: {'action_dit_loss': 1.6955828666687012, 'mse_score': 0.004323330521583557, 'data_time': ]8;id=61324;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=607314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014556001406162977, 'model_time': 1.9361852619913407, 'learning_rate': 6.200000000000001e-06, 'epoch': 3.01})   +04/01 [09:51:23] INFO  | >> Step 3150, Loss: {'action_dit_loss': 1.9342379570007324, 'data_time': 0.00015241903020069003, 'model_time': ]8;id=328838;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=59942;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.913156169001013, 'learning_rate': 6.300000000000001e-06, 'epoch': 3.06})   +04/01 [09:53:02] INFO  | >> Step 3200, Loss: {'action_dit_loss': 1.9487509727478027, 'mse_score': 0.0038751889020204543, 'data_time': ]8;id=964047;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=894141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0038705890183337033, 'model_time': 1.9076309030060656, 'learning_rate': 6.4000000000000006e-06, 'epoch': 3.1})   +04/01 [09:54:37] INFO  | >> Step 3250, Loss: {'action_dit_loss': 1.6727577447891235, 'data_time': 0.0001475629978813231, 'model_time': ]8;id=84002;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=892697;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9173376400140114, 'learning_rate': 6.5000000000000004e-06, 'epoch': 3.15})   +04/01 [09:56:15] INFO  | >> Step 3300, Loss: {'action_dit_loss': 1.6232266426086426, 'mse_score': 0.0025624629110097886, 'data_time': ]8;id=708011;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=903682;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015129399253055453, 'model_time': 1.9174519950174727, 'learning_rate': 6.600000000000001e-06, 'epoch': 3.2})   +04/01 [09:57:51] INFO  | >> Step 3350, Loss: {'action_dit_loss': 1.5770714282989502, 'data_time': 0.0029597989632748067, 'model_time': ]8;id=933533;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=597347;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9098641340387985, 'learning_rate': 6.700000000000001e-06, 'epoch': 3.25})   +04/01 [09:59:29] INFO  | >> Step 3400, Loss: {'action_dit_loss': 1.741146445274353, 'mse_score': 0.004138581454753876, 'data_time': ]8;id=649468;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=85965;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014009600272402167, 'model_time': 1.914823967963457, 'learning_rate': 6.800000000000001e-06, 'epoch': 3.3})   +04/01 [10:01:05] INFO  | >> Step 3450, Loss: {'action_dit_loss': 1.847182273864746, 'data_time': 0.0026224100147373974, 'model_time': ]8;id=548177;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=331737;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9132607089704834, 'learning_rate': 6.9e-06, 'epoch': 3.35})   +04/01 [10:02:43] INFO  | >> Step 3500, Loss: {'action_dit_loss': 1.5819461345672607, 'mse_score': 0.004116665571928024, 'data_time': ]8;id=750981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=329445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015957601135596633, 'model_time': 1.9128218319965526, 'learning_rate': 7e-06, 'epoch': 3.39})   +04/01 [10:04:19] INFO  | >> Step 3550, Loss: {'action_dit_loss': 1.585547924041748, 'data_time': 0.00034983200021088123, 'model_time': ]8;id=704318;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=676856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9138676609727554, 'learning_rate': 7.100000000000001e-06, 'epoch': 3.44})   +04/01 [10:05:57] INFO  | >> Step 3600, Loss: {'action_dit_loss': 1.6798553466796875, 'mse_score': 0.0031614970415830613, 'data_time': ]8;id=788387;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=981188;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014534120564348996, 'model_time': 1.9126368099823594, 'learning_rate': 7.2000000000000005e-06, 'epoch': 3.49})   +04/01 [10:07:33] INFO  | >> Step 3650, Loss: {'action_dit_loss': 2.167908191680908, 'data_time': 0.0022187710274010897, 'model_time': ]8;id=590341;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=104837;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9095025970018469, 'learning_rate': 7.3e-06, 'epoch': 3.54})   +04/01 [10:09:10] INFO  | >> Step 3700, Loss: {'action_dit_loss': 1.7571111917495728, 'mse_score': 0.002239064872264862, 'data_time': ]8;id=278082;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=138890;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014003170072101057, 'model_time': 1.9118112809956074, 'learning_rate': 7.4e-06, 'epoch': 3.59})   +04/01 [10:10:47] INFO  | >> Step 3750, Loss: {'action_dit_loss': 1.996086597442627, 'data_time': 0.002334485005121678, 'model_time': ]8;id=921981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=256150;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9137569890008308, 'learning_rate': 7.500000000000001e-06, 'epoch': 3.64})   +04/01 [10:12:25] INFO  | >> Step 3800, Loss: {'action_dit_loss': 1.2747790813446045, 'mse_score': 0.0046286765486001965, 'data_time': ]8;id=874244;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=569605;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001474479795433581, 'model_time': 1.915926159999799, 'learning_rate': 7.600000000000001e-06, 'epoch': 3.69})   +04/01 [10:14:01] INFO  | >> Step 3850, Loss: {'action_dit_loss': 1.4988799095153809, 'data_time': 0.0014767510001547635, 'model_time': ]8;id=685743;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=554634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9140678339754231, 'learning_rate': 7.7e-06, 'epoch': 3.73})   +04/01 [10:15:39] INFO  | >> Step 3900, Loss: {'action_dit_loss': 1.5875381231307983, 'mse_score': 0.004236248880624771, 'data_time': ]8;id=313921;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=977017;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0024106799974106252, 'model_time': 1.9115034199785441, 'learning_rate': 7.800000000000002e-06, 'epoch': 3.78})   +04/01 [10:17:14] INFO  | >> Step 3950, Loss: {'action_dit_loss': 1.6185883283615112, 'data_time': 0.00014111900236457586, 'model_time': ]8;id=140814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=277312;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9116295700077899, 'learning_rate': 7.9e-06, 'epoch': 3.83})   +04/01 [10:18:52] INFO  | >> Step 4000, Loss: {'action_dit_loss': 1.9220536947250366, 'mse_score': 0.0036689840257167817, 'data_time': ]8;id=580097;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=162998;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00221928401151672, 'model_time': 1.9100647529703565, 'learning_rate': 8.000000000000001e-06, 'epoch': 3.88})   +04/01 [10:20:29] INFO  | >> Step 4050, Loss: {'action_dit_loss': 1.9082016944885254, 'data_time': 0.0020759060280397534, 'model_time': ]8;id=752470;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=359536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9090074939886108, 'learning_rate': 8.1e-06, 'epoch': 3.93})   +04/01 [10:22:07] INFO  | >> Step 4100, Loss: {'action_dit_loss': 1.36649489402771, 'mse_score': 0.0032393928617239, 'data_time': ]8;id=276807;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=529959;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.004517591034527868, 'model_time': 1.92022381600691, 'learning_rate': 8.2e-06, 'epoch': 3.98})   +04/01 [10:23:43] INFO  | >> Step 4150, Loss: {'action_dit_loss': 1.6247167587280273, 'data_time': 0.0023499049711972475, 'model_time': ]8;id=887204;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=53266;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9097921620123088, 'learning_rate': 8.3e-06, 'epoch': 4.03})   +04/01 [10:25:21] INFO  | >> Step 4200, Loss: {'action_dit_loss': 1.3517787456512451, 'mse_score': 0.0024176882579922676, 'data_time': ]8;id=290120;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=46228;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017659802688285708, 'model_time': 1.9135288840043359, 'learning_rate': 8.400000000000001e-06, 'epoch': 4.07})   +04/01 [10:26:57] INFO  | >> Step 4250, Loss: {'action_dit_loss': 1.5154615640640259, 'data_time': 0.0022726160241290927, 'model_time': ]8;id=668061;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=274680;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9187383609823883, 'learning_rate': 8.5e-06, 'epoch': 4.12})   +04/01 [10:28:36] INFO  | >> Step 4300, Loss: {'action_dit_loss': 2.0035150051116943, 'mse_score': 0.0016126984730362893, 'data_time': ]8;id=739945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=448462;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014424300752580166, 'model_time': 1.910627665987704, 'learning_rate': 8.6e-06, 'epoch': 4.17})   +04/01 [10:30:11] INFO  | >> Step 4350, Loss: {'action_dit_loss': 1.995661735534668, 'data_time': 0.0001472120056860149, 'model_time': ]8;id=990957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=926004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9137907429831102, 'learning_rate': 8.700000000000001e-06, 'epoch': 4.22})   +04/01 [10:31:49] INFO  | >> Step 4400, Loss: {'action_dit_loss': 1.3826265335083008, 'mse_score': 0.002493734285235405, 'data_time': ]8;id=37778;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=875136;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022111560101620853, 'model_time': 1.9100065539823845, 'learning_rate': 8.8e-06, 'epoch': 4.27})   +04/01 [10:33:25] INFO  | >> Step 4450, Loss: {'action_dit_loss': 1.6693274974822998, 'data_time': 0.00015047099441289902, 'model_time': ]8;id=450664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=133636;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9150600989814848, 'learning_rate': 8.900000000000001e-06, 'epoch': 4.32})   +04/01 [10:35:03] INFO  | >> Step 4500, Loss: {'action_dit_loss': 1.2931828498840332, 'mse_score': 0.0035045403987169267, 'data_time': ]8;id=978413;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=834794;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002230983052868396, 'model_time': 1.9144367499975488, 'learning_rate': 9e-06, 'epoch': 4.36})   +04/01 [10:36:39] INFO  | >> Step 4550, Loss: {'action_dit_loss': 2.0084896087646484, 'data_time': 0.002399229968432337, 'model_time': ]8;id=220281;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=715198;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9144419060321525, 'learning_rate': 9.100000000000001e-06, 'epoch': 4.41})   +04/01 [10:38:17] INFO  | >> Step 4600, Loss: {'action_dit_loss': 1.8814157247543335, 'mse_score': 0.0030267124995589255, 'data_time': ]8;id=818011;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=587080;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015294739860109985, 'model_time': 1.910995534970425, 'learning_rate': 9.200000000000002e-06, 'epoch': 4.46})   +04/01 [10:39:53] INFO  | >> Step 4650, Loss: {'action_dit_loss': 1.8311703205108643, 'data_time': 0.0021803019917570055, 'model_time': ]8;id=785884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=162060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9090683039976284, 'learning_rate': 9.3e-06, 'epoch': 4.51})   +04/01 [10:41:31] INFO  | >> Step 4700, Loss: {'action_dit_loss': 1.6900056600570679, 'mse_score': 0.0016305483877658844, 'data_time': ]8;id=170395;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=838742;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014175003161653876, 'model_time': 1.9153170280042104, 'learning_rate': 9.4e-06, 'epoch': 4.56})   +04/01 [10:43:07] INFO  | >> Step 4750, Loss: {'action_dit_loss': 2.1333858966827393, 'data_time': 0.0001384899951517582, 'model_time': ]8;id=25990;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=188073;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9175648739910685, 'learning_rate': 9.5e-06, 'epoch': 4.61})   +04/01 [10:44:45] INFO  | >> Step 4800, Loss: {'action_dit_loss': 1.6430987119674683, 'mse_score': 0.0029990311712026598, 'data_time': ]8;id=976031;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=431712;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013858669553883374, 'model_time': 1.9150775260059163, 'learning_rate': 9.600000000000001e-06, 'epoch': 4.66})   +04/01 [10:46:21] INFO  | >> Step 4850, Loss: {'action_dit_loss': 1.2920262813568115, 'data_time': 0.002429114014375955, 'model_time': ]8;id=850132;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=260222;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.1589327760157175, 'learning_rate': 9.7e-06, 'epoch': 4.7})   +04/01 [10:47:59] INFO  | >> Step 4900, Loss: {'action_dit_loss': 1.7810146808624268, 'mse_score': 0.003005012683570385, 'data_time': ]8;id=113346;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=401124;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001390955992974341, 'model_time': 1.909558369021397, 'learning_rate': 9.800000000000001e-06, 'epoch': 4.75})   +04/01 [10:49:34] INFO  | >> Step 4950, Loss: {'action_dit_loss': 1.4148139953613281, 'data_time': 0.0021626820089295506, 'model_time': ]8;id=233238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=209267;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9088088739663363, 'learning_rate': 9.9e-06, 'epoch': 4.8})   +04/01 [10:51:12] INFO  | >> Step 5000, Loss: {'action_dit_loss': 1.642054796218872, 'mse_score': 0.0035148005932569503, 'data_time': ]8;id=320015;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=860394;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014313904102891684, 'model_time': 1.9132947559701279, 'learning_rate': 1e-05, 'epoch': 4.85})   +04/01 [10:52:48] INFO  | >> Step 5050, Loss: {'action_dit_loss': 1.5526580810546875, 'data_time': 0.0012496840208768845, 'model_time': ]8;id=24813;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=692094;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9098006990388967, 'learning_rate': 9.999971061374505e-06, 'epoch': 4.9})   +04/01 [10:54:26] INFO  | >> Step 5100, Loss: {'action_dit_loss': 1.768691062927246, 'mse_score': 0.0031870946288108824, 'data_time': ]8;id=906339;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=72792;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002329978975467384, 'model_time': 1.9132571449736133, 'learning_rate': 9.999884245850625e-06, 'epoch': 4.95})   +04/01 [10:56:03] INFO  | >> Step 5150, Loss: {'action_dit_loss': 2.194904327392578, 'data_time': 0.00014555896632373333, 'model_time': ]8;id=534150;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=419093;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.91182352299802, 'learning_rate': 9.999739554486184e-06, 'epoch': 5.0})   +04/01 [10:57:41] INFO  | >> Step 5200, Loss: {'action_dit_loss': 1.3401870727539062, 'mse_score': 0.004590695351362228, 'data_time': ]8;id=984861;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=28941;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002219908987171948, 'model_time': 1.9111859730328433, 'learning_rate': 9.999536989044196e-06, 'epoch': 5.04})   +04/01 [10:59:17] INFO  | >> Step 5250, Loss: {'action_dit_loss': 1.767405390739441, 'data_time': 0.00014386000111699104, 'model_time': ]8;id=608792;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=278361;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9179773459909484, 'learning_rate': 9.99927655199286e-06, 'epoch': 5.09})   +04/01 [11:00:55] INFO  | >> Step 5300, Loss: {'action_dit_loss': 2.0227317810058594, 'mse_score': 0.0028681308031082153, 'data_time': ]8;id=362479;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=763934;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014650720404461026, 'model_time': 1.91129371302668, 'learning_rate': 9.998958246505518e-06, 'epoch': 5.14})   +04/01 [11:02:31] INFO  | >> Step 5350, Loss: {'action_dit_loss': 2.020212411880493, 'data_time': 0.002113396010827273, 'model_time': ]8;id=536265;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=121263;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9101993120275438, 'learning_rate': 9.99858207646062e-06, 'epoch': 5.19})   +04/01 [11:04:09] INFO  | >> Step 5400, Loss: {'action_dit_loss': 1.8746787309646606, 'mse_score': 0.0027745191007852556, 'data_time': ]8;id=267095;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=46542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00018621701747179031, 'model_time': 1.9188300300156698, 'learning_rate': 9.998148046441683e-06, 'epoch': 5.24})   +04/01 [11:05:45] INFO  | >> Step 5450, Loss: {'action_dit_loss': 1.6007215976715088, 'data_time': 0.0020750630064867437, 'model_time': ]8;id=970535;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=845687;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9133028159849346, 'learning_rate': 9.997656161737227e-06, 'epoch': 5.29})   +04/01 [11:07:23] INFO  | >> Step 5500, Loss: {'action_dit_loss': 1.918604850769043, 'mse_score': 0.0025325648486614226, 'data_time': ]8;id=777991;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=772840;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015049800276756287, 'model_time': 1.9137161709950306, 'learning_rate': 9.997106428340707e-06, 'epoch': 5.33})   +04/01 [11:08:59] INFO  | >> Step 5550, Loss: {'action_dit_loss': 2.383026123046875, 'data_time': 0.00015475903637707233, 'model_time': ]8;id=73372;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=994967;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9135950859636068, 'learning_rate': 9.996498852950451e-06, 'epoch': 5.38})   +04/01 [11:10:37] INFO  | >> Step 5600, Loss: {'action_dit_loss': 1.8808897733688354, 'mse_score': 0.0038225971162319182, 'data_time': ]8;id=329164;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=695612;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0021439779666252434, 'model_time': 1.9109005709760822, 'learning_rate': 9.995833442969578e-06, 'epoch': 5.43})   +04/01 [11:12:12] INFO  | >> Step 5650, Loss: {'action_dit_loss': 1.4926416873931885, 'data_time': 0.0022154079633764923, 'model_time': ]8;id=314910;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=531756;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9128084399853833, 'learning_rate': 9.995110206505897e-06, 'epoch': 5.48})   +04/01 [11:13:51] INFO  | >> Step 5700, Loss: {'action_dit_loss': 1.6738275289535522, 'mse_score': 0.002844841219484806, 'data_time': ]8;id=421947;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=731076;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001726680202409625, 'model_time': 1.9133938180166297, 'learning_rate': 9.994329152371813e-06, 'epoch': 5.53})   +04/01 [11:15:27] INFO  | >> Step 5750, Loss: {'action_dit_loss': 1.5906765460968018, 'data_time': 0.0021103709586896002, 'model_time': ]8;id=440869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=697229;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.911606777983252, 'learning_rate': 9.993490290084225e-06, 'epoch': 5.58})   +04/01 [11:17:05] INFO  | >> Step 5800, Loss: {'action_dit_loss': 1.6682078838348389, 'mse_score': 0.0021970497444272043, 'data_time': ]8;id=946660;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=182480;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001476489705964923, 'model_time': 1.9174593460047618, 'learning_rate': 9.992593629864412e-06, 'epoch': 5.63})   +04/01 [11:18:41] INFO  | >> Step 5850, Loss: {'action_dit_loss': 1.954500436782837, 'data_time': 0.00014620902948081493, 'model_time': ]8;id=574553;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=874224;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9126117010018788, 'learning_rate': 9.991639182637887e-06, 'epoch': 5.67})   +04/01 [11:20:19] INFO  | >> Step 5900, Loss: {'action_dit_loss': 1.4840810298919678, 'mse_score': 0.0038022376596927644, 'data_time': ]8;id=450770;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=823927;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002299260988365859, 'model_time': 1.9135070189950056, 'learning_rate': 9.990626960034291e-06, 'epoch': 5.72})   +04/01 [11:21:55] INFO  | >> Step 5950, Loss: {'action_dit_loss': 1.6304218769073486, 'data_time': 0.00014636898413300514, 'model_time': ]8;id=487575;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=463246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.913174509012606, 'learning_rate': 9.989556974387237e-06, 'epoch': 5.77})   +04/01 [11:23:33] INFO  | >> Step 6000, Loss: {'action_dit_loss': 1.4641284942626953, 'mse_score': 0.004188993200659752, 'data_time': ]8;id=496171;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=832291;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013907590182498097, 'model_time': 1.9137140270322561, 'learning_rate': 9.988429238734164e-06, 'epoch': 5.82})   +04/01 [11:25:09] INFO  | >> Step 6050, Loss: {'action_dit_loss': 1.410202145576477, 'data_time': 0.0022574029862880707, 'model_time': ]8;id=690855;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=88914;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9111560609890148, 'learning_rate': 9.987243766816175e-06, 'epoch': 5.87})   +04/01 [11:26:47] INFO  | >> Step 6100, Loss: {'action_dit_loss': 1.711097002029419, 'mse_score': 0.002585468254983425, 'data_time': ]8;id=649342;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=351470;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014747900422662497, 'model_time': 1.912155722035095, 'learning_rate': 9.986000573077873e-06, 'epoch': 5.92})   +04/01 [11:28:24] INFO  | >> Step 6150, Loss: {'action_dit_loss': 1.7826220989227295, 'data_time': 0.00014951900811865926, 'model_time': ]8;id=246277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=705477;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9150515189976431, 'learning_rate': 9.984699672667175e-06, 'epoch': 5.97})   +04/01 [11:30:02] INFO  | >> Step 6200, Loss: {'action_dit_loss': 1.3383746147155762, 'mse_score': 0.0037591371685266493, 'data_time': ]8;id=154511;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=25611;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013813099940307438, 'model_time': 1.9161223769770004, 'learning_rate': 9.983341081435145e-06, 'epoch': 6.01})   +04/01 [11:31:39] INFO  | >> Step 6250, Loss: {'action_dit_loss': 1.7526698112487793, 'data_time': 0.00014492898480966687, 'model_time': ]8;id=891014;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=805819;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.1536399659817107, 'learning_rate': 9.981924815935792e-06, 'epoch': 6.06})   +04/01 [11:33:17] INFO  | >> Step 6300, Loss: {'action_dit_loss': 1.3160024881362915, 'mse_score': 0.004194366559386253, 'data_time': ]8;id=660356;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=603634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003980210982263088, 'model_time': 1.9129408780136146, 'learning_rate': 9.980450893425859e-06, 'epoch': 6.11})   +04/01 [11:34:52] INFO  | >> Step 6350, Loss: {'action_dit_loss': 2.025178909301758, 'data_time': 0.0024588920059613883, 'model_time': ]8;id=518392;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=419066;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9109552719746716, 'learning_rate': 9.978919331864631e-06, 'epoch': 6.16})   +04/01 [11:36:30] INFO  | >> Step 6400, Loss: {'action_dit_loss': 2.048818349838257, 'mse_score': 0.0054112222045660015, 'data_time': ]8;id=5814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=936021;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014399599749594927, 'model_time': 1.9183149010059424, 'learning_rate': 9.977330149913699e-06, 'epoch': 6.21})   +04/01 [11:38:06] INFO  | >> Step 6450, Loss: {'action_dit_loss': 1.6384556293487549, 'data_time': 0.002372429007664323, 'model_time': ]8;id=111764;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=816232;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9129555079853162, 'learning_rate': 9.975683366936747e-06, 'epoch': 6.26})   +04/01 [11:39:44] INFO  | >> Step 6500, Loss: {'action_dit_loss': 1.4137842655181885, 'mse_score': 0.004179052636027336, 'data_time': ]8;id=729716;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=543118;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001908132981043309, 'model_time': 1.914548475004267, 'learning_rate': 9.973979002999299e-06, 'epoch': 6.3})   +04/01 [11:41:21] INFO  | >> Step 6550, Loss: {'action_dit_loss': 1.7851579189300537, 'data_time': 0.0001482549705542624, 'model_time': ]8;id=962037;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=889545;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9179186319815926, 'learning_rate': 9.972217078868499e-06, 'epoch': 6.35})   +04/01 [11:42:59] INFO  | >> Step 6600, Loss: {'action_dit_loss': 1.6620420217514038, 'mse_score': 0.0019296078011393548, 'data_time': ]8;id=487213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=700005;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013797159772366285, 'model_time': 1.9106711089843884, 'learning_rate': 9.970397616012834e-06, 'epoch': 6.4})   +04/01 [11:44:35] INFO  | >> Step 6650, Loss: {'action_dit_loss': 1.631041407585144, 'data_time': 0.0017109870095737278, 'model_time': ]8;id=996188;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=791937;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.913506848970428, 'learning_rate': 9.968520636601883e-06, 'epoch': 6.45})   +04/01 [11:46:13] INFO  | >> Step 6700, Loss: {'action_dit_loss': 1.5057427883148193, 'mse_score': 0.003334660083055496, 'data_time': ]8;id=754213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=935351;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001563429832458496, 'model_time': 1.9159161429852247, 'learning_rate': 9.966586163506052e-06, 'epoch': 6.5})   +04/01 [11:47:48] INFO  | >> Step 6750, Loss: {'action_dit_loss': 1.5476757287979126, 'data_time': 0.0022438140003941953, 'model_time': ]8;id=574485;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=467574;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9111719999928027, 'learning_rate': 9.964594220296281e-06, 'epoch': 6.55})   +04/01 [11:49:27] INFO  | >> Step 6800, Loss: {'action_dit_loss': 1.5019549131393433, 'mse_score': 0.0041792143136262895, 'data_time': ]8;id=497732;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=471932;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015631201677024364, 'model_time': 2.165285777009558, 'learning_rate': 9.96254483124377e-06, 'epoch': 6.6})   +04/01 [11:51:03] INFO  | >> Step 6850, Loss: {'action_dit_loss': 2.01790452003479, 'data_time': 0.0001518219942227006, 'model_time': ]8;id=668636;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=290782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9136642640223727, 'learning_rate': 9.96043802131968e-06, 'epoch': 6.64})   +04/01 [11:52:41] INFO  | >> Step 6900, Loss: {'action_dit_loss': 1.815333366394043, 'mse_score': 0.002419341541826725, 'data_time': ]8;id=657193;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=250867;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0021981989848427474, 'model_time': 1.9136742919799872, 'learning_rate': 9.958273816194823e-06, 'epoch': 6.69})   +04/01 [11:54:17] INFO  | >> Step 6950, Loss: {'action_dit_loss': 1.5988399982452393, 'data_time': 0.001398739987052977, 'model_time': ]8;id=299607;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=245884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9129051250056364, 'learning_rate': 9.956052242239358e-06, 'epoch': 6.74})   +04/01 [11:55:55] INFO  | >> Step 7000, Loss: {'action_dit_loss': 1.493497371673584, 'mse_score': 0.0023385284468531607, 'data_time': ]8;id=566390;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=84491;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013752380036748946, 'model_time': 1.9138453479972668, 'learning_rate': 9.95377332652246e-06, 'epoch': 6.79})   +04/01 [11:57:31] INFO  | >> Step 7050, Loss: {'action_dit_loss': 1.9058494567871094, 'data_time': 0.0022170309675857425, 'model_time': ]8;id=727659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=160227;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.916022278019227, 'learning_rate': 9.951437096811997e-06, 'epoch': 6.84})   +04/01 [11:59:10] INFO  | >> Step 7100, Loss: {'action_dit_loss': 1.6448733806610107, 'mse_score': 0.003289055824279785, 'data_time': ]8;id=427398;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=346954;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014299002941697836, 'model_time': 1.914316775975749, 'learning_rate': 9.949043581574196e-06, 'epoch': 6.89})   +04/01 [12:00:46] INFO  | >> Step 7150, Loss: {'action_dit_loss': 1.641777515411377, 'data_time': 0.0038212439976632595, 'model_time': ]8;id=216881;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=873349;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9177682439913042, 'learning_rate': 9.94659280997328e-06, 'epoch': 6.94})   +04/01 [12:02:24] INFO  | >> Step 7200, Loss: {'action_dit_loss': 1.8153622150421143, 'mse_score': 0.0022030655294656754, 'data_time': ]8;id=612451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=992017;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015199003973975778, 'model_time': 1.9137038959888741, 'learning_rate': 9.944084811871127e-06, 'epoch': 6.98})   +04/01 [12:04:00] INFO  | >> Step 7250, Loss: {'action_dit_loss': 1.817354440689087, 'data_time': 0.00016317999688908458, 'model_time': ]8;id=802784;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=603655;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9162413789890707, 'learning_rate': 9.941519617826906e-06, 'epoch': 7.03})   +04/01 [12:05:38] INFO  | >> Step 7300, Loss: {'action_dit_loss': 1.7654833793640137, 'mse_score': 0.003225647285580635, 'data_time': ]8;id=368845;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=313118;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001463799853809178, 'model_time': 1.9154526620404795, 'learning_rate': 9.938897259096693e-06, 'epoch': 7.08})   +04/01 [12:07:14] INFO  | >> Step 7350, Loss: {'action_dit_loss': 1.6911131143569946, 'data_time': 0.00014131003990769386, 'model_time': ]8;id=999744;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=876325;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9147357129841112, 'learning_rate': 9.936217767633105e-06, 'epoch': 7.13})   +04/01 [12:08:52] INFO  | >> Step 7400, Loss: {'action_dit_loss': 1.7018141746520996, 'mse_score': 0.0029234852641820907, 'data_time': ]8;id=572661;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=838722;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0037912760162726045, 'model_time': 1.9105834259535186, 'learning_rate': 9.933481176084899e-06, 'epoch': 7.18})   +04/01 [12:10:28] INFO  | >> Step 7450, Loss: {'action_dit_loss': 1.510936975479126, 'data_time': 0.00014518701937049627, 'model_time': ]8;id=230080;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=286193;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9134071019943804, 'learning_rate': 9.93068751779658e-06, 'epoch': 7.23})   +04/01 [12:12:06] INFO  | >> Step 7500, Loss: {'action_dit_loss': 1.502821445465088, 'mse_score': 0.0023120982572436334, 'data_time': ]8;id=352457;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=701364;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015139899915084243, 'model_time': 1.9176651979796588, 'learning_rate': 9.92783682680799e-06, 'epoch': 7.27})   +04/01 [12:13:42] INFO  | >> Step 7550, Loss: {'action_dit_loss': 1.9218937158584595, 'data_time': 0.0033913510269485414, 'model_time': ]8;id=173061;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=881334;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9089045530417934, 'learning_rate': 9.924929137853899e-06, 'epoch': 7.32})   +04/01 [12:15:20] INFO  | >> Step 7600, Loss: {'action_dit_loss': 1.9063045978546143, 'mse_score': 0.004373295977711677, 'data_time': ]8;id=560069;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=28276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014474202180281281, 'model_time': 1.9133280550013296, 'learning_rate': 9.921964486363585e-06, 'epoch': 7.37})   +04/01 [12:16:56] INFO  | >> Step 7650, Loss: {'action_dit_loss': 1.6580579280853271, 'data_time': 0.00015545199858024716, 'model_time': ]8;id=695205;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=28418;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9179669079603627, 'learning_rate': 9.918942908460384e-06, 'epoch': 7.42})   +04/01 [12:18:34] INFO  | >> Step 7700, Loss: {'action_dit_loss': 1.6724448204040527, 'mse_score': 0.0032655976712703703, 'data_time': ]8;id=908959;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=484125;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014745397493243217, 'model_time': 1.915076342993416, 'learning_rate': 9.915864440961272e-06, 'epoch': 7.47})   +04/01 [12:20:10] INFO  | >> Step 7750, Loss: {'action_dit_loss': 1.426682472229004, 'data_time': 0.0015217430191114545, 'model_time': ]8;id=343254;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=221941;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9141729209804907, 'learning_rate': 9.912729121376405e-06, 'epoch': 7.52})   +04/01 [12:21:48] INFO  | >> Step 7800, Loss: {'action_dit_loss': 1.8667587041854858, 'mse_score': 0.003489122539758682, 'data_time': ]8;id=922369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=397542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002147377992514521, 'model_time': 1.9121057390002534, 'learning_rate': 9.90953698790866e-06, 'epoch': 7.57})   +04/01 [12:23:24] INFO  | >> Step 7850, Loss: {'action_dit_loss': 1.4973111152648926, 'data_time': 0.0001412860001437366, 'model_time': ]8;id=442042;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=264525;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9177591589977965, 'learning_rate': 9.90628807945318e-06, 'epoch': 7.61})   +04/01 [12:25:02] INFO  | >> Step 7900, Loss: {'action_dit_loss': 1.7601593732833862, 'mse_score': 0.0029630759730935098, 'data_time': ]8;id=785408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=565621;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014314602594822645, 'model_time': 1.9128026040270925, 'learning_rate': 9.902982435596885e-06, 'epoch': 7.66})   +04/01 [12:26:38] INFO  | >> Step 7950, Loss: {'action_dit_loss': 1.620465874671936, 'data_time': 0.003272007976192981, 'model_time': ]8;id=681725;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=71951;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.912393314007204, 'learning_rate': 9.899620096618005e-06, 'epoch': 7.71})   +04/01 [12:28:16] INFO  | >> Step 8000, Loss: {'action_dit_loss': 1.7323479652404785, 'mse_score': 0.003727034851908684, 'data_time': ]8;id=32537;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=995740;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014565360033884645, 'model_time': 1.9157041609869339, 'learning_rate': 9.896201103485577e-06, 'epoch': 7.76})   +04/01 [12:29:52] INFO  | >> Step 8050, Loss: {'action_dit_loss': 2.0836658477783203, 'data_time': 0.00015032704686746, 'model_time': ]8;id=651517;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=159784;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.916922150994651, 'learning_rate': 9.892725497858957e-06, 'epoch': 7.81})   +04/01 [12:31:30] INFO  | >> Step 8100, Loss: {'action_dit_loss': 1.4348021745681763, 'mse_score': 0.0015686791390180587, 'data_time': ]8;id=119946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=591364;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000150547013618052, 'model_time': 1.914737461018376, 'learning_rate': 9.889193322087298e-06, 'epoch': 7.86})   +04/01 [12:33:06] INFO  | >> Step 8150, Loss: {'action_dit_loss': 1.5642606019973755, 'data_time': 0.0013627230073325336, 'model_time': ]8;id=268690;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=804150;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9130662200041115, 'learning_rate': 9.885604619209052e-06, 'epoch': 7.9})   +04/01 [12:34:46] INFO  | >> Step 8200, Loss: {'action_dit_loss': 2.0930352210998535, 'mse_score': 0.005032625049352646, 'data_time': ]8;id=784256;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=753252;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0017528070020489395, 'model_time': 1.91443053499097, 'learning_rate': 9.881959432951425e-06, 'epoch': 7.95})   +04/01 [12:36:21] INFO  | >> Step 8250, Loss: {'action_dit_loss': 1.7293331623077393, 'data_time': 0.0022758300183340907, 'model_time': ]8;id=326147;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=113349;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9128516599885188, 'learning_rate': 9.878257807729869e-06, 'epoch': 8.0})   +04/01 [12:37:59] INFO  | >> Step 8300, Loss: {'action_dit_loss': 1.7043055295944214, 'mse_score': 0.004394134134054184, 'data_time': ]8;id=603766;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=710250;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014380802167579532, 'model_time': 1.9156686950009316, 'learning_rate': 9.874499788647512e-06, 'epoch': 8.05})   +04/01 [12:39:35] INFO  | >> Step 8350, Loss: {'action_dit_loss': 1.326448678970337, 'data_time': 0.00014055799692869186, 'model_time': ]8;id=749747;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=207963;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9153208989882842, 'learning_rate': 9.870685421494636e-06, 'epoch': 8.1})   +04/01 [12:41:13] INFO  | >> Step 8400, Loss: {'action_dit_loss': 1.6461058855056763, 'mse_score': 0.004999935626983643, 'data_time': ]8;id=657711;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=254646;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002202684001531452, 'model_time': 1.9117687390535139, 'learning_rate': 9.866814752748096e-06, 'epoch': 8.15})   +04/01 [12:42:49] INFO  | >> Step 8450, Loss: {'action_dit_loss': 1.4638291597366333, 'data_time': 0.00015233695739880204, 'model_time': ]8;id=891597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=717497;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.91053339705104, 'learning_rate': 9.862887829570771e-06, 'epoch': 8.2})   +04/01 [12:44:28] INFO  | >> Step 8500, Loss: {'action_dit_loss': 1.6211766004562378, 'mse_score': 0.0032407015562057493, 'data_time': ]8;id=593423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=820652;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00212020002072677, 'model_time': 1.9123490969650447, 'learning_rate': 9.858904699810983e-06, 'epoch': 8.24})   +04/01 [12:46:04] INFO  | >> Step 8550, Loss: {'action_dit_loss': 1.8428175449371338, 'data_time': 0.0014366480172611773, 'model_time': ]8;id=693655;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=388571;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.911498284956906, 'learning_rate': 9.85486541200191e-06, 'epoch': 8.29})   +04/01 [12:47:42] INFO  | >> Step 8600, Loss: {'action_dit_loss': 2.1619668006896973, 'mse_score': 0.005640787631273269, 'data_time': ]8;id=13266;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=890844;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001416970044374466, 'model_time': 1.914367412973661, 'learning_rate': 9.850770015360999e-06, 'epoch': 8.34})   +04/01 [12:49:18] INFO  | >> Step 8650, Loss: {'action_dit_loss': 1.662766933441162, 'data_time': 0.0001434250152669847, 'model_time': ]8;id=454582;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=379781;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9183512129820883, 'learning_rate': 9.846618559789364e-06, 'epoch': 8.39})   +04/01 [12:50:56] INFO  | >> Step 8700, Loss: {'action_dit_loss': 2.002751588821411, 'mse_score': 0.00287836454808712, 'data_time': ]8;id=741666;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=160422;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001714429003186524, 'model_time': 1.9117691909777932, 'learning_rate': 9.842411095871185e-06, 'epoch': 8.44})   +04/01 [12:52:32] INFO  | >> Step 8750, Loss: {'action_dit_loss': 1.75675630569458, 'data_time': 0.0013794610276818275, 'model_time': ]8;id=682054;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=283201;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.912948441982735, 'learning_rate': 9.838147674873076e-06, 'epoch': 8.49})   +04/01 [12:54:10] INFO  | >> Step 8800, Loss: {'action_dit_loss': 1.6465622186660767, 'mse_score': 0.003163668513298035, 'data_time': ]8;id=812270;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=506983;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001401314977556467, 'model_time': 1.912752816977445, 'learning_rate': 9.83382834874348e-06, 'epoch': 8.54})   +04/01 [12:55:46] INFO  | >> Step 8850, Loss: {'action_dit_loss': 1.3104894161224365, 'data_time': 0.001320498005952686, 'model_time': ]8;id=621254;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=281433;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.915966588014271, 'learning_rate': 9.829453170112025e-06, 'epoch': 8.58})   +04/01 [12:57:24] INFO  | >> Step 8900, Loss: {'action_dit_loss': 1.5737124681472778, 'mse_score': 0.0033347707241773604, 'data_time': ]8;id=980022;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=90872;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014333100989460945, 'model_time': 1.9163297060295008, 'learning_rate': 9.825022192288878e-06, 'epoch': 8.63})   +04/01 [12:59:00] INFO  | >> Step 8950, Loss: {'action_dit_loss': 1.532198429107666, 'data_time': 0.0001416010200046003, 'model_time': ]8;id=786931;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=487282;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9145297519862652, 'learning_rate': 9.820535469264106e-06, 'epoch': 8.68})   +04/01 [13:00:38] INFO  | >> Step 9000, Loss: {'action_dit_loss': 2.018122673034668, 'mse_score': 0.0030315373092889785, 'data_time': ]8;id=352737;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=30094;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002451153995934874, 'model_time': 1.913400602992624, 'learning_rate': 9.815993055707015e-06, 'epoch': 8.73})   +04/01 [13:02:14] INFO  | >> Step 9050, Loss: {'action_dit_loss': 1.4007863998413086, 'data_time': 0.00014905101852491498, 'model_time': ]8;id=511233;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=222423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9147629900253378, 'learning_rate': 9.811395006965481e-06, 'epoch': 8.78})   +04/01 [13:03:52] INFO  | >> Step 9100, Loss: {'action_dit_loss': 1.551210641860962, 'mse_score': 0.0024273931980133058, 'data_time': ]8;id=293243;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=923082;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015230230055749416, 'model_time': 1.912397157982923, 'learning_rate': 9.806741379065273e-06, 'epoch': 8.83})   +04/01 [13:05:28] INFO  | >> Step 9150, Loss: {'action_dit_loss': 1.6349198818206787, 'data_time': 0.0013926620013080537, 'model_time': ]8;id=582789;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=10644;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9145736169884913, 'learning_rate': 9.802032228709383e-06, 'epoch': 8.87})   +04/01 [13:07:07] INFO  | >> Step 9200, Loss: {'action_dit_loss': 1.5156099796295166, 'mse_score': 0.0025672050192952155, 'data_time': ]8;id=253080;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=755053;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003944669966585934, 'model_time': 1.912533460999839, 'learning_rate': 9.797267613277319e-06, 'epoch': 8.92})   +04/01 [13:08:43] INFO  | >> Step 9250, Loss: {'action_dit_loss': 1.4381670951843262, 'data_time': 0.002297388040460646, 'model_time': ]8;id=251997;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=724156;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.913376475975383, 'learning_rate': 9.79244759082442e-06, 'epoch': 8.97})   +04/01 [13:10:21] INFO  | >> Step 9300, Loss: {'action_dit_loss': 2.102090835571289, 'mse_score': 0.003378324955701828, 'data_time': ]8;id=469945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=831450;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014717999147251248, 'model_time': 1.9146606550202705, 'learning_rate': 9.787572220081133e-06, 'epoch': 9.02})   +04/01 [13:11:57] INFO  | >> Step 9350, Loss: {'action_dit_loss': 1.5829591751098633, 'data_time': 0.0023913149489089847, 'model_time': ]8;id=424045;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=725391;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9130029660300352, 'learning_rate': 9.782641560452317e-06, 'epoch': 9.07})   +04/01 [13:13:35] INFO  | >> Step 9400, Loss: {'action_dit_loss': 1.6043957471847534, 'mse_score': 0.0024367339909076692, 'data_time': ]8;id=386945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=496249;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001481689978390932, 'model_time': 1.9146813619881868, 'learning_rate': 9.777655672016499e-06, 'epoch': 9.12})   +04/01 [13:15:11] INFO  | >> Step 9450, Loss: {'action_dit_loss': 1.5903618335723877, 'data_time': 0.0001598299713805318, 'model_time': ]8;id=782169;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=577124;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9147241120226681, 'learning_rate': 9.772614615525158e-06, 'epoch': 9.17})   +04/01 [13:16:49] INFO  | >> Step 9500, Loss: {'action_dit_loss': 1.2785537242889404, 'mse_score': 0.0017068261280655862, 'data_time': ]8;id=284076;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=321517;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014309760299511254, 'model_time': 1.9115282429847866, 'learning_rate': 9.767518452401981e-06, 'epoch': 9.21})   +04/01 [13:18:25] INFO  | >> Step 9550, Loss: {'action_dit_loss': 1.5480297803878784, 'data_time': 0.00219036202179268, 'model_time': ]8;id=201939;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=330876;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9180225859745406, 'learning_rate': 9.7623672447421e-06, 'epoch': 9.26})   +04/01 [13:20:04] INFO  | >> Step 9600, Loss: {'action_dit_loss': 1.590656042098999, 'mse_score': 0.003669048845767975, 'data_time': ]8;id=799213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=723688;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00013242900604382157, 'model_time': 1.9127279609674588, 'learning_rate': 9.757161055311359e-06, 'epoch': 9.31})   +04/01 [13:21:39] INFO  | >> Step 9650, Loss: {'action_dit_loss': 1.5205782651901245, 'data_time': 0.002378219971433282, 'model_time': ]8;id=507719;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=289930;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9108948539942503, 'learning_rate': 9.751899947545534e-06, 'epoch': 9.36})   +04/01 [13:23:17] INFO  | >> Step 9700, Loss: {'action_dit_loss': 1.7554380893707275, 'mse_score': 0.004446990787982941, 'data_time': ]8;id=625780;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=296745;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015289901057258248, 'model_time': 1.9138396870112047, 'learning_rate': 9.746583985549559e-06, 'epoch': 9.41})   +04/01 [13:24:53] INFO  | >> Step 9750, Loss: {'action_dit_loss': 1.4434744119644165, 'data_time': 0.00014724896755069494, 'model_time': ]8;id=238533;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=378411;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9114738279604353, 'learning_rate': 9.741213234096757e-06, 'epoch': 9.46})   +04/01 [13:26:31] INFO  | >> Step 9800, Loss: {'action_dit_loss': 1.7619603872299194, 'mse_score': 0.0019310638308525085, 'data_time': ]8;id=560081;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=132731;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014435530174523592, 'model_time': 1.9111489580245689, 'learning_rate': 9.735787758628036e-06, 'epoch': 9.51})   +04/01 [13:28:07] INFO  | >> Step 9850, Loss: {'action_dit_loss': 1.61751127243042, 'data_time': 0.002203060023020953, 'model_time': ]8;id=306327;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=731295;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9151552880066447, 'learning_rate': 9.730307625251105e-06, 'epoch': 9.55})   +04/01 [13:29:46] INFO  | >> Step 9900, Loss: {'action_dit_loss': 1.87200129032135, 'mse_score': 0.003936567157506943, 'data_time': ]8;id=789359;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=514723;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015134529676288366, 'model_time': 1.9133955969591625, 'learning_rate': 9.72477290073966e-06, 'epoch': 9.6})   +04/01 [13:31:22] INFO  | >> Step 9950, Loss: {'action_dit_loss': 1.6375067234039307, 'data_time': 0.0023572889622300863, 'model_time': ]8;id=298151;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=492198;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9144549149787053, 'learning_rate': 9.719183652532572e-06, 'epoch': 9.65})   +04/01 [13:33:00] INFO  | >> Step 10000, Loss: {'action_dit_loss': 1.251554012298584, 'mse_score': 0.0033866122364997866, 'data_time': ]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#253\253]8;;\ +  0.0001482990337535739, 'model_time': 1.9134538560174406, 'learning_rate': 9.713539948733065e-06, 'epoch': 9.7})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/checkpoints/steps_10000 +04/01 [13:33:08] INFO  | >> 📊 Saving accessed configuration... ]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#240\240]8;;\ +  INFO  | >> ✅ Configuration files saved ]8;id=56213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=159097;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\ +04/01 [13:34:44] INFO  | >> Step 10050, Loss: {'action_dit_loss': 1.3710007667541504, 'data_time': 0.00014943903079256415, 'model_time': ]8;id=318594;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=89318;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9112777999835089, 'learning_rate': 9.707841858107892e-06, 'epoch': 9.75})   +04/01 [13:36:22] INFO  | >> Step 10100, Loss: {'action_dit_loss': 1.9086145162582397, 'mse_score': 0.0028246069326996804, 'data_time': ]8;id=436390;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=635770;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015056029660627246, 'model_time': 1.9122765709762461, 'learning_rate': 9.702089450086486e-06, 'epoch': 9.8})   +04/01 [13:37:58] INFO  | >> Step 10150, Loss: {'action_dit_loss': 1.542414665222168, 'data_time': 0.00015307898866012692, 'model_time': ]8;id=813373;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=547957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9139396190294065, 'learning_rate': 9.696282794760125e-06, 'epoch': 9.84})   +04/01 [13:39:36] INFO  | >> Step 10200, Loss: {'action_dit_loss': 1.8938531875610352, 'mse_score': 0.004686877131462097, 'data_time': ]8;id=311797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=901950;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00250796799082309, 'model_time': 1.9179767059977166, 'learning_rate': 9.69042196288107e-06, 'epoch': 9.89})   +04/01 [13:41:13] INFO  | >> Step 10250, Loss: {'action_dit_loss': 1.7227766513824463, 'data_time': 0.0014948620228096843, 'model_time': ]8;id=651194;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=63156;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9136062510078773, 'learning_rate': 9.68450702586171e-06, 'epoch': 9.94})   +04/01 [13:42:51] INFO  | >> Step 10300, Loss: {'action_dit_loss': 1.705080270767212, 'mse_score': 0.0031061066314578057, 'data_time': ]8;id=799787;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=217881;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014716529985889792, 'model_time': 1.9117899390403181, 'learning_rate': 9.678538055773684e-06, 'epoch': 9.99})   +04/01 [13:44:27] INFO  | >> Step 10350, Loss: {'action_dit_loss': 1.432924509048462, 'data_time': 0.000152900000102818, 'model_time': ]8;id=85131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=164686;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9192036170279607, 'learning_rate': 9.67251512534701e-06, 'epoch': 10.04})   +04/01 [13:46:05] INFO  | >> Step 10400, Loss: {'action_dit_loss': 1.8994462490081787, 'mse_score': 0.0051945850253105165, 'data_time': ]8;id=164136;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=2805;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014614895917475224, 'model_time': 1.9125550200114958, 'learning_rate': 9.666438307969194e-06, 'epoch': 10.09})   +04/01 [13:47:41] INFO  | >> Step 10450, Loss: {'action_dit_loss': 1.5433180332183838, 'data_time': 0.0001526289852336049, 'model_time': ]8;id=492738;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=305407;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.921278199995868, 'learning_rate': 9.66030767768434e-06, 'epoch': 10.14})   +04/01 [13:49:19] INFO  | >> Step 10500, Loss: {'action_dit_loss': 1.6692836284637451, 'mse_score': 0.0035982832312583925, 'data_time': ]8;id=296451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=737135;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003945710021071136, 'model_time': 1.9101942609995604, 'learning_rate': 9.654123309192241e-06, 'epoch': 10.18})   +04/01 [13:50:54] INFO  | >> Step 10550, Loss: {'action_dit_loss': 1.8253474235534668, 'data_time': 0.00015204900410026312, 'model_time': ]8;id=244762;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=968790;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9105838570394553, 'learning_rate': 9.647885277847476e-06, 'epoch': 10.23})   +04/01 [13:52:32] INFO  | >> Step 10600, Loss: {'action_dit_loss': 1.73594069480896, 'mse_score': 0.001906736008822918, 'data_time': ]8;id=618439;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=693300;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015089899534359574, 'model_time': 1.9134992529870942, 'learning_rate': 9.641593659658489e-06, 'epoch': 10.28})   +04/01 [13:54:08] INFO  | >> Step 10650, Loss: {'action_dit_loss': 1.8469449281692505, 'data_time': 0.004095989977940917, 'model_time': ]8;id=120351;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=571015;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.913052316987887, 'learning_rate': 9.635248531286661e-06, 'epoch': 10.33})   +04/01 [13:55:47] INFO  | >> Step 10700, Loss: {'action_dit_loss': 1.354943037033081, 'mse_score': 0.0049373917281627655, 'data_time': ]8;id=278535;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=866785;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002266469004098326, 'model_time': 1.9128926109988242, 'learning_rate': 9.628849970045378e-06, 'epoch': 10.38})   +04/01 [13:57:23] INFO  | >> Step 10750, Loss: {'action_dit_loss': 1.449796438217163, 'data_time': 0.00025995896430686116, 'model_time': ]8;id=831131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=322554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9125922080129385, 'learning_rate': 9.622398053899094e-06, 'epoch': 10.43})   +04/01 [13:59:01] INFO  | >> Step 10800, Loss: {'action_dit_loss': 1.6385926008224487, 'mse_score': 0.003023342788219452, 'data_time': ]8;id=965940;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=302630;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014614901738241315, 'model_time': 1.9165281140012667, 'learning_rate': 9.615892861462364e-06, 'epoch': 10.48})   +04/01 [14:00:37] INFO  | >> Step 10850, Loss: {'action_dit_loss': 1.4664157629013062, 'data_time': 0.004548338009044528, 'model_time': ]8;id=318862;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=733723;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.907883342995774, 'learning_rate': 9.609334471998911e-06, 'epoch': 10.52})   +04/01 [14:02:15] INFO  | >> Step 10900, Loss: {'action_dit_loss': 1.4373962879180908, 'mse_score': 0.0018335070461034774, 'data_time': ]8;id=566211;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=517781;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015077897114679217, 'model_time': 1.9137394010322168, 'learning_rate': 9.602722965420639e-06, 'epoch': 10.57})   +04/01 [14:03:51] INFO  | >> Step 10950, Loss: {'action_dit_loss': 2.0863077640533447, 'data_time': 0.00014437898062169552, 'model_time': ]8;id=932627;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=453014;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9116379090119153, 'learning_rate': 9.59605842228667e-06, 'epoch': 10.62})   +04/01 [14:05:30] INFO  | >> Step 11000, Loss: {'action_dit_loss': 1.481844425201416, 'mse_score': 0.004934603720903397, 'data_time': ]8;id=27121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=95763;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00035367795499041677, 'model_time': 1.9136251370073296, 'learning_rate': 9.589340923802355e-06, 'epoch': 10.67})   +04/01 [14:07:05] INFO  | >> Step 11050, Loss: {'action_dit_loss': 1.846672534942627, 'data_time': 0.0023031079908832908, 'model_time': ]8;id=603139;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=615643;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9129106189939193, 'learning_rate': 9.582570551818297e-06, 'epoch': 10.72})   +04/01 [14:08:43] INFO  | >> Step 11100, Loss: {'action_dit_loss': 1.7237850427627563, 'mse_score': 0.004504870623350143, 'data_time': ]8;id=861322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=282602;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023498479858972132, 'model_time': 1.9117047830368392, 'learning_rate': 9.575747388829342e-06, 'epoch': 10.77})   +04/01 [14:10:19] INFO  | >> Step 11150, Loss: {'action_dit_loss': 1.7323362827301025, 'data_time': 0.0001573690096847713, 'model_time': ]8;id=183700;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=493355;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9160115500562824, 'learning_rate': 9.568871517973576e-06, 'epoch': 10.81})   +04/01 [14:11:57] INFO  | >> Step 11200, Loss: {'action_dit_loss': 1.601613998413086, 'mse_score': 0.002120915986597538, 'data_time': ]8;id=291668;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=190305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015513901598751545, 'model_time': 1.9122928680153564, 'learning_rate': 9.561943023031317e-06, 'epoch': 10.86})   +04/01 [14:13:34] INFO  | >> Step 11250, Loss: {'action_dit_loss': 1.8748955726623535, 'data_time': 0.0023488979786634445, 'model_time': ]8;id=515611;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=95674;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9154228510451503, 'learning_rate': 9.554961988424089e-06, 'epoch': 10.91})   +04/01 [14:15:13] INFO  | >> Step 11300, Loss: {'action_dit_loss': 1.4771584272384644, 'mse_score': 0.0034999605268239975, 'data_time': ]8;id=336653;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=702685;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014326029922813177, 'model_time': 1.9125945549458265, 'learning_rate': 9.547928499213593e-06, 'epoch': 10.96})   +04/01 [14:16:48] INFO  | >> Step 11350, Loss: {'action_dit_loss': 1.725393295288086, 'data_time': 0.00014802900841459632, 'model_time': ]8;id=431641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=727369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.918291195994243, 'learning_rate': 9.540842641100681e-06, 'epoch': 11.01})   +04/01 [14:18:26] INFO  | >> Step 11400, Loss: {'action_dit_loss': 1.533510446548462, 'mse_score': 0.002409248985350132, 'data_time': ]8;id=419904;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=853085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015089729567989707, 'model_time': 1.9119546769652516, 'learning_rate': 9.533704500424293e-06, 'epoch': 11.06})   +04/01 [14:20:02] INFO  | >> Step 11450, Loss: {'action_dit_loss': 1.7012348175048828, 'data_time': 0.002948545035906136, 'model_time': ]8;id=92337;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=329795;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9104830239666626, 'learning_rate': 9.52651416416042e-06, 'epoch': 11.11})   +04/01 [14:21:40] INFO  | >> Step 11500, Loss: {'action_dit_loss': 1.5356091260910034, 'mse_score': 0.002477421797811985, 'data_time': ]8;id=423808;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=906924;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013519229833036661, 'model_time': 1.915835797030013, 'learning_rate': 9.519271719921043e-06, 'epoch': 11.15})   +04/01 [14:23:17] INFO  | >> Step 11550, Loss: {'action_dit_loss': 1.2449290752410889, 'data_time': 0.00013984902761876583, 'model_time': ]8;id=911597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=568950;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9192101000226103, 'learning_rate': 9.51197725595306e-06, 'epoch': 11.2})   +04/01 [14:24:55] INFO  | >> Step 11600, Loss: {'action_dit_loss': 1.5459563732147217, 'mse_score': 0.002979055792093277, 'data_time': ]8;id=543623;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=379353;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001480889623053372, 'model_time': 1.9171417100005783, 'learning_rate': 9.504630861137212e-06, 'epoch': 11.25})   +04/01 [14:26:31] INFO  | >> Step 11650, Loss: {'action_dit_loss': 1.5928244590759277, 'data_time': 0.00015300000086426735, 'model_time': ]8;id=463513;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=796907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.913354528020136, 'learning_rate': 9.497232624986998e-06, 'epoch': 11.3})   +04/01 [14:28:08] INFO  | >> Step 11700, Loss: {'action_dit_loss': 1.4570499658584595, 'mse_score': 0.0027743073180317877, 'data_time': ]8;id=137377;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=972735;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0020894299959763885, 'model_time': 1.910787781002, 'learning_rate': 9.489782637647598e-06, 'epoch': 11.35})   +04/01 [14:29:44] INFO  | >> Step 11750, Loss: {'action_dit_loss': 1.7106330394744873, 'data_time': 0.00015047902707010508, 'model_time': ]8;id=508257;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=127324;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9152088399860077, 'learning_rate': 9.482280989894748e-06, 'epoch': 11.4})   +04/01 [14:31:23] INFO  | >> Step 11800, Loss: {'action_dit_loss': 1.585113286972046, 'mse_score': 0.003942719474434852, 'data_time': ]8;id=250921;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=744261;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017596903489902616, 'model_time': 1.9124162230291404, 'learning_rate': 9.474727773133664e-06, 'epoch': 11.45})   +04/01 [14:32:59] INFO  | >> Step 11850, Loss: {'action_dit_loss': 1.4854419231414795, 'data_time': 0.0038511609891429543, 'model_time': ]8;id=579077;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=427809;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9097801259486005, 'learning_rate': 9.467123079397906e-06, 'epoch': 11.49})   +04/01 [14:34:37] INFO  | >> Step 11900, Loss: {'action_dit_loss': 1.7487828731536865, 'mse_score': 0.002544221468269825, 'data_time': ]8;id=118972;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=483863;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0031247639562934637, 'model_time': 1.9145806120359339, 'learning_rate': 9.459467001348271e-06, 'epoch': 11.54})   +04/01 [14:36:13] INFO  | >> Step 11950, Loss: {'action_dit_loss': 1.777083396911621, 'data_time': 0.0001432499848306179, 'model_time': ]8;id=161450;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=522584;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9127059410093352, 'learning_rate': 9.45175963227165e-06, 'epoch': 11.59})   +04/01 [14:37:51] INFO  | >> Step 12000, Loss: {'action_dit_loss': 1.6435295343399048, 'mse_score': 0.0027456155046820642, 'data_time': ]8;id=739677;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=286706;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014330900739878416, 'model_time': 1.9178513759979978, 'learning_rate': 9.444001066079904e-06, 'epoch': 11.64})   +04/01 [14:39:26] INFO  | >> Step 12050, Loss: {'action_dit_loss': 2.1733107566833496, 'data_time': 0.003906560014002025, 'model_time': ]8;id=255570;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=478975;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9086656420258805, 'learning_rate': 9.436191397308713e-06, 'epoch': 11.69})   +04/01 [14:41:05] INFO  | >> Step 12100, Loss: {'action_dit_loss': 1.6175192594528198, 'mse_score': 0.002286301739513874, 'data_time': ]8;id=966648;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=628492;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014123896835371852, 'model_time': 1.9143428429961205, 'learning_rate': 9.42833072111643e-06, 'epoch': 11.74})   +04/01 [14:42:41] INFO  | >> Step 12150, Loss: {'action_dit_loss': 1.5206354856491089, 'data_time': 0.00015059899305924773, 'model_time': ]8;id=905997;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=73201;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9112612290191464, 'learning_rate': 9.420419133282907e-06, 'epoch': 11.78})   +04/01 [14:44:19] INFO  | >> Step 12200, Loss: {'action_dit_loss': 1.5617172718048096, 'mse_score': 0.003431718796491623, 'data_time': ]8;id=435098;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=356385;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014111900236457586, 'model_time': 1.9137396559817716, 'learning_rate': 9.412456730208352e-06, 'epoch': 11.83})   +04/01 [14:45:55] INFO  | >> Step 12250, Loss: {'action_dit_loss': 1.8427979946136475, 'data_time': 0.19919317099265754, 'model_time': ]8;id=860408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=2689;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.996473101025913, 'learning_rate': 9.40444360891213e-06, 'epoch': 11.88})   +04/01 [14:47:33] INFO  | >> Step 12300, Loss: {'action_dit_loss': 1.6338672637939453, 'mse_score': 0.0025527764111757277, 'data_time': ]8;id=615448;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=608093;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014558900147676468, 'model_time': 1.9204500930500217, 'learning_rate': 9.396379867031596e-06, 'epoch': 11.93})   +04/01 [14:49:09] INFO  | >> Step 12350, Loss: {'action_dit_loss': 1.6940011978149414, 'data_time': 0.0014353430015034974, 'model_time': ]8;id=468238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=564742;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9104504830320366, 'learning_rate': 9.388265602820901e-06, 'epoch': 11.98})   +04/01 [14:50:48] INFO  | >> Step 12400, Loss: {'action_dit_loss': 1.5965619087219238, 'mse_score': 0.002841781638562679, 'data_time': ]8;id=799929;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=569827;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001415699953213334, 'model_time': 1.9133112879935652, 'learning_rate': 9.380100915149792e-06, 'epoch': 12.03})   +04/01 [14:52:24] INFO  | >> Step 12450, Loss: {'action_dit_loss': 2.046217918395996, 'data_time': 0.00013939902419224381, 'model_time': ]8;id=911843;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=197816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.913445957005024, 'learning_rate': 9.371885903502411e-06, 'epoch': 12.08})   +04/01 [14:54:02] INFO  | >> Step 12500, Loss: {'action_dit_loss': 1.6055185794830322, 'mse_score': 0.002314368635416031, 'data_time': ]8;id=244907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=897594;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0036626619985327125, 'model_time': 1.9122448830166832, 'learning_rate': 9.363620667976085e-06, 'epoch': 12.12})   +04/01 [14:55:37] INFO  | >> Step 12550, Loss: {'action_dit_loss': 1.4495670795440674, 'data_time': 0.00014167896006256342, 'model_time': ]8;id=780879;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=495951;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9128727310453542, 'learning_rate': 9.355305309280098e-06, 'epoch': 12.17})   +04/01 [14:57:15] INFO  | >> Step 12600, Loss: {'action_dit_loss': 2.018921375274658, 'mse_score': 0.0022607091814279556, 'data_time': ]8;id=404832;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=695928;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00013760902220383286, 'model_time': 1.9119170850026421, 'learning_rate': 9.346939928734474e-06, 'epoch': 12.22})   +04/01 [14:58:52] INFO  | >> Step 12650, Loss: {'action_dit_loss': 1.8567155599594116, 'data_time': 0.003886940947268158, 'model_time': ]8;id=519389;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=38817;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9081784239970148, 'learning_rate': 9.338524628268734e-06, 'epoch': 12.27})   +04/01 [15:00:30] INFO  | >> Step 12700, Loss: {'action_dit_loss': 1.3429195880889893, 'mse_score': 0.002528112754225731, 'data_time': ]8;id=911946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=105239;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0021762389806099236, 'model_time': 1.9100283739971928, 'learning_rate': 9.330059510420657e-06, 'epoch': 12.32})   +04/01 [15:02:06] INFO  | >> Step 12750, Loss: {'action_dit_loss': 1.7272051572799683, 'data_time': 0.0001523869577795267, 'model_time': ]8;id=551499;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=954667;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9136118709575385, 'learning_rate': 9.321544678335034e-06, 'epoch': 12.37})   +04/01 [15:03:44] INFO  | >> Step 12800, Loss: {'action_dit_loss': 1.5752983093261719, 'mse_score': 0.002745877206325531, 'data_time': ]8;id=429893;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=913239;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015029701171442866, 'model_time': 1.9134000210324302, 'learning_rate': 9.312980235762408e-06, 'epoch': 12.42})   +04/01 [15:05:20] INFO  | >> Step 12850, Loss: {'action_dit_loss': 1.508085012435913, 'data_time': 0.004991846974007785, 'model_time': ]8;id=819488;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=277896;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9064823769731447, 'learning_rate': 9.304366287057806e-06, 'epoch': 12.46})   +04/01 [15:06:58] INFO  | >> Step 12900, Loss: {'action_dit_loss': 1.4893579483032227, 'mse_score': 0.003724249079823494, 'data_time': ]8;id=681403;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=84216;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000148118007928133, 'model_time': 1.9145062820171006, 'learning_rate': 9.295702937179478e-06, 'epoch': 12.51})   +04/01 [15:08:34] INFO  | >> Step 12950, Loss: {'action_dit_loss': 1.6683475971221924, 'data_time': 0.0014048500452190638, 'model_time': ]8;id=901085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=559543;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.910838378011249, 'learning_rate': 9.286990291687605e-06, 'epoch': 12.56})   +04/01 [15:10:12] INFO  | >> Step 13000, Loss: {'action_dit_loss': 1.6032850742340088, 'mse_score': 0.004215311259031296, 'data_time': ]8;id=930546;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=796290;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015174801228567958, 'model_time': 1.9107343319919892, 'learning_rate': 9.278228456743023e-06, 'epoch': 12.61})   +04/01 [15:11:47] INFO  | >> Step 13050, Loss: {'action_dit_loss': 1.826070785522461, 'data_time': 0.00016617804067209363, 'model_time': ]8;id=647453;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=71744;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9148853609804064, 'learning_rate': 9.26941753910593e-06, 'epoch': 12.66})   +04/01 [15:13:25] INFO  | >> Step 13100, Loss: {'action_dit_loss': 2.0278878211975098, 'mse_score': 0.0038107387721538545, 'data_time': ]8;id=301338;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=238536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022035259753465652, 'model_time': 1.9099125750362873, 'learning_rate': 9.260557646134572e-06, 'epoch': 12.71})   +04/01 [15:15:01] INFO  | >> Step 13150, Loss: {'action_dit_loss': 2.0135703086853027, 'data_time': 0.00015695899492129683, 'model_time': ]8;id=797305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=664532;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9099562210030854, 'learning_rate': 9.251648885783952e-06, 'epoch': 12.75})   +04/01 [15:16:40] INFO  | >> Step 13200, Loss: {'action_dit_loss': 1.3591058254241943, 'mse_score': 0.00225762277841568, 'data_time': ]8;id=174446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=727712;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00027490698266774416, 'model_time': 1.9118149720015936, 'learning_rate': 9.2426913666045e-06, 'epoch': 12.8})   +04/01 [15:18:16] INFO  | >> Step 13250, Loss: {'action_dit_loss': 1.6866697072982788, 'data_time': 0.004238750028889626, 'model_time': ]8;id=340131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=834816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9076500600203872, 'learning_rate': 9.233685197740765e-06, 'epoch': 12.85})   +04/01 [15:19:55] INFO  | >> Step 13300, Loss: {'action_dit_loss': 1.5733277797698975, 'mse_score': 0.0031629510223865507, 'data_time': ]8;id=451607;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=152640;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015032803639769554, 'model_time': 1.9122847889666446, 'learning_rate': 9.224630488930069e-06, 'epoch': 12.9})   +04/01 [15:21:31] INFO  | >> Step 13350, Loss: {'action_dit_loss': 1.7328591346740723, 'data_time': 0.0030155740096233785, 'model_time': ]8;id=714919;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=831016;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9133111129631288, 'learning_rate': 9.21552735050118e-06, 'epoch': 12.95})   +04/01 [15:23:09] INFO  | >> Step 13400, Loss: {'action_dit_loss': 1.5434715747833252, 'mse_score': 0.0029252279549837113, 'data_time': ]8;id=639098;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=913141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000145169033203274, 'model_time': 1.9130846780026332, 'learning_rate': 9.206375893372973e-06, 'epoch': 13.0})   +04/01 [15:24:44] INFO  | >> Step 13450, Loss: {'action_dit_loss': 1.8343837261199951, 'data_time': 0.0001556379720568657, 'model_time': ]8;id=521841;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=957170;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.912226028041914, 'learning_rate': 9.19717622905306e-06, 'epoch': 13.05})   +04/01 [15:26:22] INFO  | >> Step 13500, Loss: {'action_dit_loss': 1.3349133729934692, 'mse_score': 0.0029709149152040482, 'data_time': ]8;id=668891;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=266314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014893896877765656, 'model_time': 1.912614441011101, 'learning_rate': 9.187928469636449e-06, 'epoch': 13.09})   +04/01 [15:27:58] INFO  | >> Step 13550, Loss: {'action_dit_loss': 2.1670806407928467, 'data_time': 0.00015603896463289857, 'model_time': ]8;id=942573;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=843718;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9213072899729013, 'learning_rate': 9.17863272780417e-06, 'epoch': 13.14})   +04/01 [15:29:36] INFO  | >> Step 13600, Loss: {'action_dit_loss': 1.6342438459396362, 'mse_score': 0.002984345890581608, 'data_time': ]8;id=573149;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=165649;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0036346009583212435, 'model_time': 1.9086989579955116, 'learning_rate': 9.169289116821902e-06, 'epoch': 13.19})   +04/01 [15:31:12] INFO  | >> Step 13650, Loss: {'action_dit_loss': 1.1919193267822266, 'data_time': 0.00015720899682492018, 'model_time': ]8;id=616113;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=313685;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9123851920012385, 'learning_rate': 9.1598977505386e-06, 'epoch': 13.24})   +04/01 [15:32:50] INFO  | >> Step 13700, Loss: {'action_dit_loss': 1.6341590881347656, 'mse_score': 0.003380833566188812, 'data_time': ]8;id=479027;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=886365;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015395897207781672, 'model_time': 1.91253820998827, 'learning_rate': 9.150458743385095e-06, 'epoch': 13.29})   +04/01 [15:34:26] INFO  | >> Step 13750, Loss: {'action_dit_loss': 1.6336767673492432, 'data_time': 0.004021199012640864, 'model_time': ]8;id=506680;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=111834;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9130002220044844, 'learning_rate': 9.140972210372712e-06, 'epoch': 13.34})   +04/01 [15:36:04] INFO  | >> Step 13800, Loss: {'action_dit_loss': 1.9326969385147095, 'mse_score': 0.0023266421630978584, 'data_time': ]8;id=602733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=310244;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002186560013797134, 'model_time': 1.9132715679588728, 'learning_rate': 9.131438267091861e-06, 'epoch': 13.39})   +04/01 [15:37:40] INFO  | >> Step 13850, Loss: {'action_dit_loss': 1.6860792636871338, 'data_time': 0.0001542410464026034, 'model_time': ]8;id=690203;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=415032;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.915932542993687, 'learning_rate': 9.121857029710632e-06, 'epoch': 13.43})   +04/01 [15:39:18] INFO  | >> Step 13900, Loss: {'action_dit_loss': 1.6679801940917969, 'mse_score': 0.0022700542584061624, 'data_time': ]8;id=719112;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=816118;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00013960100477561355, 'model_time': 1.9186715729883872, 'learning_rate': 9.112228614973381e-06, 'epoch': 13.48})   +04/01 [15:40:54] INFO  | >> Step 13950, Loss: {'action_dit_loss': 1.4120433330535889, 'data_time': 0.00014967098832130432, 'model_time': ]8;id=781369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=520856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9161010569659993, 'learning_rate': 9.102553140199302e-06, 'epoch': 13.53})   +04/01 [15:42:32] INFO  | >> Step 14000, Loss: {'action_dit_loss': 1.8359990119934082, 'mse_score': 0.0031569641083478927, 'data_time': ]8;id=813423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=837665;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00355734396725893, 'model_time': 1.9106701770215295, 'learning_rate': 9.092830723281e-06, 'epoch': 13.58})   +04/01 [15:44:09] INFO  | >> Step 14050, Loss: {'action_dit_loss': 2.0197832584381104, 'data_time': 0.00015228003030642867, 'model_time': ]8;id=229642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=667542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9140554700279608, 'learning_rate': 9.083061482683061e-06, 'epoch': 13.63})   +04/01 [15:45:47] INFO  | >> Step 14100, Loss: {'action_dit_loss': 2.021975040435791, 'mse_score': 0.0038286983966827393, 'data_time': ]8;id=792280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=755948;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014549004845321178, 'model_time': 1.9127301179687493, 'learning_rate': 9.073245537440592e-06, 'epoch': 13.68})   +04/01 [15:47:22] INFO  | >> Step 14150, Loss: {'action_dit_loss': 1.6861311197280884, 'data_time': 0.00355051999213174, 'model_time': ]8;id=143423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=658765;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9086520629934967, 'learning_rate': 9.063383007157795e-06, 'epoch': 13.72})   +04/01 [15:49:00] INFO  | >> Step 14200, Loss: {'action_dit_loss': 1.4672001600265503, 'mse_score': 0.005025621876120568, 'data_time': ]8;id=41337;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=323939;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014027999714016914, 'model_time': 1.9154390079784207, 'learning_rate': 9.053474012006485e-06, 'epoch': 13.77})   +04/01 [15:50:36] INFO  | >> Step 14250, Loss: {'action_dit_loss': 1.6930432319641113, 'data_time': 0.00015183002687990665, 'model_time': ]8;id=382584;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=767934;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.912350888014771, 'learning_rate': 9.04351867272464e-06, 'epoch': 13.82})   +04/01 [15:52:15] INFO  | >> Step 14300, Loss: {'action_dit_loss': 1.7613682746887207, 'mse_score': 0.0019353101029992103, 'data_time': ]8;id=342589;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=783790;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003579653042834252, 'model_time': 1.9123679059557617, 'learning_rate': 9.033517110614933e-06, 'epoch': 13.87})   +04/01 [15:53:52] INFO  | >> Step 14350, Loss: {'action_dit_loss': 1.650856852531433, 'data_time': 0.0001437600003555417, 'model_time': ]8;id=824718;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=565610;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9167141980142333, 'learning_rate': 9.023469447543237e-06, 'epoch': 13.92})   +04/01 [15:55:30] INFO  | >> Step 14400, Loss: {'action_dit_loss': 1.7039494514465332, 'mse_score': 0.0032561514526605606, 'data_time': ]8;id=957860;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=285765;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014199959696270525, 'model_time': 1.9180604679859243, 'learning_rate': 9.013375805937157e-06, 'epoch': 13.97})   +04/01 [15:57:06] INFO  | >> Step 14450, Loss: {'action_dit_loss': 1.8956435918807983, 'data_time': 0.0037571480497717857, 'model_time': ]8;id=864749;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=990052;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9133620299980976, 'learning_rate': 9.00323630878453e-06, 'epoch': 14.02})   +04/01 [15:58:44] INFO  | >> Step 14500, Loss: {'action_dit_loss': 1.900053858757019, 'mse_score': 0.0040329650044441225, 'data_time': ]8;id=912677;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=355168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014481897233054042, 'model_time': 1.9131707970518619, 'learning_rate': 8.993051079631929e-06, 'epoch': 14.06})   +04/01 [16:00:20] INFO  | >> Step 14550, Loss: {'action_dit_loss': 1.781205415725708, 'data_time': 0.00014392001321539283, 'model_time': ]8;id=147594;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=790785;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9120685950038023, 'learning_rate': 8.98282024258316e-06, 'epoch': 14.11})   +04/01 [16:01:58] INFO  | >> Step 14600, Loss: {'action_dit_loss': 1.5206224918365479, 'mse_score': 0.0028335463255643846, 'data_time': ]8;id=707166;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=416716;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014996901154518127, 'model_time': 1.9156212559901178, 'learning_rate': 8.972543922297739e-06, 'epoch': 14.16})   +04/01 [16:03:34] INFO  | >> Step 14650, Loss: {'action_dit_loss': 1.8046143054962158, 'data_time': 0.00015944900223985314, 'model_time': ]8;id=94689;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=829090;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9142913090181537, 'learning_rate': 8.962222243989391e-06, 'epoch': 14.21})   +04/01 [16:05:12] INFO  | >> Step 14700, Loss: {'action_dit_loss': 1.703441858291626, 'mse_score': 0.002902478538453579, 'data_time': ]8;id=129592;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=476877;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003594055015128106, 'model_time': 1.9088296259869821, 'learning_rate': 8.951855333424503e-06, 'epoch': 14.26})   +04/01 [16:06:48] INFO  | >> Step 14750, Loss: {'action_dit_loss': 2.1198337078094482, 'data_time': 0.000142509990837425, 'model_time': ]8;id=274896;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=612955;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9172287519904785, 'learning_rate': 8.941443316920613e-06, 'epoch': 14.31})   +04/01 [16:08:26] INFO  | >> Step 14800, Loss: {'action_dit_loss': 1.2494786977767944, 'mse_score': 0.0033633641898632048, 'data_time': ]8;id=389518;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=113609;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001445090165361762, 'model_time': 1.9126129100332037, 'learning_rate': 8.930986321344854e-06, 'epoch': 14.35})   +04/01 [16:10:01] INFO  | >> Step 14850, Loss: {'action_dit_loss': 2.1004557609558105, 'data_time': 0.003974866995122284, 'model_time': ]8;id=649641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=927187;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9075230109738186, 'learning_rate': 8.920484474112418e-06, 'epoch': 14.4})   +04/01 [16:11:40] INFO  | >> Step 14900, Loss: {'action_dit_loss': 1.7104482650756836, 'mse_score': 0.0030677679926156996, 'data_time': ]8;id=639717;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=232120;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014647003263235092, 'model_time': 1.9149918699986301, 'learning_rate': 8.909937903185e-06, 'epoch': 14.45})   +04/01 [16:13:16] INFO  | >> Step 14950, Loss: {'action_dit_loss': 1.7872495651245117, 'data_time': 0.0001493709860369563, 'model_time': ]8;id=486819;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=953562;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9130416449625045, 'learning_rate': 8.899346737069238e-06, 'epoch': 14.5})   +04/01 [16:14:54] INFO  | >> Step 15000, Loss: {'action_dit_loss': 1.251000165939331, 'mse_score': 0.0032895322889089583, 'data_time': ]8;id=122343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=146566;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001510509755462408, 'model_time': 1.920900329016149, 'learning_rate': 8.888711104815145e-06, 'epoch': 14.55})   +04/01 [16:16:30] INFO  | >> Step 15050, Loss: {'action_dit_loss': 1.8289055824279785, 'data_time': 0.00015649996930733323, 'model_time': ]8;id=516554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=121761;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9127780589624308, 'learning_rate': 8.878031136014552e-06, 'epoch': 14.6})   +04/01 [16:18:07] INFO  | >> Step 15100, Loss: {'action_dit_loss': 1.6459994316101074, 'mse_score': 0.0026164881885051726, 'data_time': ]8;id=142254;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=407524;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0037151630385778844, 'model_time': 1.9107618989655748, 'learning_rate': 8.867306960799501e-06, 'epoch': 14.65})   +04/01 [16:19:44] INFO  | >> Step 15150, Loss: {'action_dit_loss': 1.817415475845337, 'data_time': 0.00015188998077064753, 'model_time': ]8;id=779238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=730316;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9123535139951855, 'learning_rate': 8.856538709840684e-06, 'epoch': 14.69})   +04/01 [16:21:22] INFO  | >> Step 15200, Loss: {'action_dit_loss': 1.927669882774353, 'mse_score': 0.0032974664121866227, 'data_time': ]8;id=778325;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=761894;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015080999583005905, 'model_time': 1.9161482279887423, 'learning_rate': 8.845726514345845e-06, 'epoch': 14.74})   +04/01 [16:22:58] INFO  | >> Step 15250, Loss: {'action_dit_loss': 1.4218652248382568, 'data_time': 0.0023214370012283325, 'model_time': ]8;id=103831;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=874190;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.910834483045619, 'learning_rate': 8.834870506058168e-06, 'epoch': 14.79})   +04/01 [16:24:35] INFO  | >> Step 15300, Loss: {'action_dit_loss': 1.7684346437454224, 'mse_score': 0.002969028428196907, 'data_time': ]8;id=997742;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=293328;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014670001110062003, 'model_time': 1.9119556319783442, 'learning_rate': 8.823970817254691e-06, 'epoch': 14.84})   +04/01 [16:26:12] INFO  | >> Step 15350, Loss: {'action_dit_loss': 1.7426307201385498, 'data_time': 0.00013841898180544376, 'model_time': ]8;id=464920;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=466297;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9128884760430083, 'learning_rate': 8.813027580744685e-06, 'epoch': 14.89})   +04/01 [16:27:50] INFO  | >> Step 15400, Loss: {'action_dit_loss': 1.9566558599472046, 'mse_score': 0.004292468726634979, 'data_time': ]8;id=104180;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=718987;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013830670504830778, 'model_time': 1.9113809760310687, 'learning_rate': 8.802040929868027e-06, 'epoch': 14.94})   +04/01 [16:29:26] INFO  | >> Step 15450, Loss: {'action_dit_loss': 1.837061882019043, 'data_time': 0.002132045046892017, 'model_time': ]8;id=376096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=63491;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9118703290005215, 'learning_rate': 8.791010998493597e-06, 'epoch': 14.99})   +04/01 [16:31:04] INFO  | >> Step 15500, Loss: {'action_dit_loss': 1.5993080139160156, 'mse_score': 0.003632880374789238, 'data_time': ]8;id=995109;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=889227;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001382989576086402, 'model_time': 1.9126357710338198, 'learning_rate': 8.779937921017624e-06, 'epoch': 15.03})   +04/01 [16:32:40] INFO  | >> Step 15550, Loss: {'action_dit_loss': 1.6374465227127075, 'data_time': 0.0013201470137573779, 'model_time': ]8;id=222409;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=672875;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9137513520545326, 'learning_rate': 8.768821832362063e-06, 'epoch': 15.08})   +04/01 [16:34:18] INFO  | >> Step 15600, Loss: {'action_dit_loss': 1.8082839250564575, 'mse_score': 0.0029118431732058523, 'data_time': ]8;id=825013;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=349709;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023833930026739836, 'model_time': 1.9153691069805063, 'learning_rate': 8.75766286797295e-06, 'epoch': 15.13})   +04/01 [16:35:53] INFO  | >> Step 15650, Loss: {'action_dit_loss': 1.799950122833252, 'data_time': 0.00014541897689923644, 'model_time': ]8;id=215173;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=71942;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9144178839633241, 'learning_rate': 8.74646116381874e-06, 'epoch': 15.18})   +04/01 [16:37:32] INFO  | >> Step 15700, Loss: {'action_dit_loss': 1.7511308193206787, 'mse_score': 0.003317604959011078, 'data_time': ]8;id=614867;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=226441;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001483105996157974, 'model_time': 1.9119281920138747, 'learning_rate': 8.735216856388663e-06, 'epoch': 15.23})   +04/01 [16:39:09] INFO  | >> Step 15750, Loss: {'action_dit_loss': 1.5370876789093018, 'data_time': 0.0024014730006456375, 'model_time': ]8;id=811984;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=154721;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.911464808974415, 'learning_rate': 8.72393008269106e-06, 'epoch': 15.28})   +04/01 [16:40:47] INFO  | >> Step 15800, Loss: {'action_dit_loss': 1.8086459636688232, 'mse_score': 0.004465201869606972, 'data_time': ]8;id=290743;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=900104;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015673949965275824, 'model_time': 1.910505464009475, 'learning_rate': 8.712600980251706e-06, 'epoch': 15.32})   +04/01 [16:42:22] INFO  | >> Step 15850, Loss: {'action_dit_loss': 1.6299264430999756, 'data_time': 0.0025524519733153284, 'model_time': ]8;id=837302;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=182973;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9102553839911707, 'learning_rate': 8.701229687112136e-06, 'epoch': 15.37})   +04/01 [16:44:00] INFO  | >> Step 15900, Loss: {'action_dit_loss': 1.9802671670913696, 'mse_score': 0.004358382150530815, 'data_time': ]8;id=138205;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=15582;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001417319872416556, 'model_time': 1.9128875100286677, 'learning_rate': 8.689816341827972e-06, 'epoch': 15.42})   +04/01 [16:45:36] INFO  | >> Step 15950, Loss: {'action_dit_loss': 1.587724208831787, 'data_time': 0.00015107402577996254, 'model_time': ]8;id=617457;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=339498;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9102007999899797, 'learning_rate': 8.678361083467221e-06, 'epoch': 15.47})   +04/01 [16:47:15] INFO  | >> Step 16000, Loss: {'action_dit_loss': 1.8509467840194702, 'mse_score': 0.005043603107333183, 'data_time': ]8;id=132915;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=777747;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002987726009450853, 'model_time': 1.9091309439972974, 'learning_rate': 8.666864051608594e-06, 'epoch': 15.52})   +04/01 [16:48:51] INFO  | >> Step 16050, Loss: {'action_dit_loss': 1.6001313924789429, 'data_time': 0.0001551950117573142, 'model_time': ]8;id=66645;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=499380;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9104911600006744, 'learning_rate': 8.655325386339793e-06, 'epoch': 15.57})   +04/01 [16:50:29] INFO  | >> Step 16100, Loss: {'action_dit_loss': 2.2087526321411133, 'mse_score': 0.002743440680205822, 'data_time': ]8;id=622503;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=114351;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014545500744134188, 'model_time': 1.9129430089960806, 'learning_rate': 8.643745228255816e-06, 'epoch': 15.62})   +04/01 [16:52:04] INFO  | >> Step 16150, Loss: {'action_dit_loss': 1.4828890562057495, 'data_time': 0.00406019197544083, 'model_time': ]8;id=644986;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=45471;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9101255619898438, 'learning_rate': 8.632123718457235e-06, 'epoch': 15.66})   +04/01 [16:53:42] INFO  | >> Step 16200, Loss: {'action_dit_loss': 1.6861109733581543, 'mse_score': 0.005422700196504593, 'data_time': ]8;id=690909;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=546781;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014590698992833495, 'model_time': 1.910185914952308, 'learning_rate': 8.620460998548475e-06, 'epoch': 15.71})   +04/01 [16:55:18] INFO  | >> Step 16250, Loss: {'action_dit_loss': 1.8496758937835693, 'data_time': 0.00015225698007270694, 'model_time': ]8;id=63780;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=502248;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9095743019715883, 'learning_rate': 8.608757210636101e-06, 'epoch': 15.76})   +04/01 [16:56:57] INFO  | >> Step 16300, Loss: {'action_dit_loss': 1.8890589475631714, 'mse_score': 0.0025486456230282783, 'data_time': ]8;id=113206;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=514084;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014423701213672757, 'model_time': 1.9109914530417882, 'learning_rate': 8.597012497327076e-06, 'epoch': 15.81})   +04/01 [16:58:33] INFO  | >> Step 16350, Loss: {'action_dit_loss': 1.5098576545715332, 'data_time': 0.000141276977956295, 'model_time': ]8;id=942949;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=84714;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9137455569580197, 'learning_rate': 8.585227001727021e-06, 'epoch': 15.86})   +04/01 [17:00:11] INFO  | >> Step 16400, Loss: {'action_dit_loss': 1.5762330293655396, 'mse_score': 0.0026935404166579247, 'data_time': ]8;id=132321;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=288375;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001435879967175424, 'model_time': 1.9097638219827786, 'learning_rate': 8.573400867438486e-06, 'epoch': 15.91})   +04/01 [17:01:47] INFO  | >> Step 16450, Loss: {'action_dit_loss': 1.6817502975463867, 'data_time': 0.00013975700130686164, 'model_time': ]8;id=746746;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=340981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9124335689703003, 'learning_rate': 8.561534238559183e-06, 'epoch': 15.96})   +04/01 [17:03:25] INFO  | >> Step 16500, Loss: {'action_dit_loss': 2.347824811935425, 'mse_score': 0.013488447666168213, 'data_time': ]8;id=475755;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=530108;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0038077220087870955, 'model_time': 1.9096083519980311, 'learning_rate': 8.549627259680238e-06, 'epoch': 16.0})   +04/01 [17:05:02] INFO  | >> Step 16550, Loss: {'action_dit_loss': 1.493394136428833, 'data_time': 0.000147818005643785, 'model_time': ]8;id=735869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=119971;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9152075779857114, 'learning_rate': 8.537680075884433e-06, 'epoch': 16.05})   +04/01 [17:06:39] INFO  | >> Step 16600, Loss: {'action_dit_loss': 1.7731437683105469, 'mse_score': 0.0035317476838827135, 'data_time': ]8;id=806315;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=578116;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014483800623565912, 'model_time': 1.9163317239726894, 'learning_rate': 8.525692832744432e-06, 'epoch': 16.1})   +04/01 [17:08:15] INFO  | >> Step 16650, Loss: {'action_dit_loss': 2.18418025970459, 'data_time': 0.0037284090067259967, 'model_time': ]8;id=473489;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=931230;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9068458190304227, 'learning_rate': 8.513665676321011e-06, 'epoch': 16.15})   +04/01 [17:09:53] INFO  | >> Step 16700, Loss: {'action_dit_loss': 1.4620531797409058, 'mse_score': 0.002473866380751133, 'data_time': ]8;id=475528;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=418098;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00013986800331622362, 'model_time': 1.910926850978285, 'learning_rate': 8.501598753161273e-06, 'epoch': 16.2})   +04/01 [17:11:29] INFO  | >> Step 16750, Loss: {'action_dit_loss': 1.5547044277191162, 'data_time': 0.0015367399901151657, 'model_time': ]8;id=447494;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=327704;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9130970189580694, 'learning_rate': 8.48949221029687e-06, 'epoch': 16.25})   +04/01 [17:13:07] INFO  | >> Step 16800, Loss: {'action_dit_loss': 1.2831478118896484, 'mse_score': 0.00203953068703413, 'data_time': ]8;id=160053;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=720184;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015751802129670978, 'model_time': 1.9130862460006028, 'learning_rate': 8.477346195242204e-06, 'epoch': 16.29})   +04/01 [17:14:43] INFO  | >> Step 16850, Loss: {'action_dit_loss': 2.025148391723633, 'data_time': 0.00014185800682753325, 'model_time': ]8;id=872176;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=89511;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9094358630245551, 'learning_rate': 8.465160855992639e-06, 'epoch': 16.34})   +04/01 [17:16:21] INFO  | >> Step 16900, Loss: {'action_dit_loss': 2.115398645401001, 'mse_score': 0.003271361440420151, 'data_time': ]8;id=774683;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=390748;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0030737019842490554, 'model_time': 1.9091849219985306, 'learning_rate': 8.452936341022687e-06, 'epoch': 16.39})   +04/01 [17:17:57] INFO  | >> Step 16950, Loss: {'action_dit_loss': 2.0107076168060303, 'data_time': 0.00015242694644257426, 'model_time': ]8;id=614953;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=588866;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9111216589808464, 'learning_rate': 8.440672799284205e-06, 'epoch': 16.44})   +04/01 [17:19:35] INFO  | >> Step 17000, Loss: {'action_dit_loss': 1.7068970203399658, 'mse_score': 0.002475910261273384, 'data_time': ]8;id=430764;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=370774;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013274999801069498, 'model_time': 1.9139142949716188, 'learning_rate': 8.428370380204577e-06, 'epoch': 16.49})   +04/01 [17:21:10] INFO  | >> Step 17050, Loss: {'action_dit_loss': 1.7101150751113892, 'data_time': 0.0030476130195893347, 'model_time': ]8;id=443481;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=910260;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9087949829990976, 'learning_rate': 8.416029233684899e-06, 'epoch': 16.54})   +04/01 [17:22:49] INFO  | >> Step 17100, Loss: {'action_dit_loss': 1.3384513854980469, 'mse_score': 0.0027512215077877046, 'data_time': ]8;id=629575;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=327626;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015100400196388364, 'model_time': 1.911790328042116, 'learning_rate': 8.403649510098148e-06, 'epoch': 16.59})   +04/01 [17:24:25] INFO  | >> Step 17150, Loss: {'action_dit_loss': 1.6631383895874023, 'data_time': 0.00016098300693556666, 'model_time': ]8;id=223072;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=162246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9118927589734085, 'learning_rate': 8.391231360287348e-06, 'epoch': 16.63})   +04/01 [17:26:03] INFO  | >> Step 17200, Loss: {'action_dit_loss': 1.5609650611877441, 'mse_score': 0.0036950036883354187, 'data_time': ]8;id=113475;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=367121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014300202019512653, 'model_time': 1.9150939600076526, 'learning_rate': 8.378774935563732e-06, 'epoch': 16.68})   +04/01 [17:27:38] INFO  | >> Step 17250, Loss: {'action_dit_loss': 1.6420663595199585, 'data_time': 0.00014256202848628163, 'model_time': ]8;id=799649;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=292099;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9128643870353699, 'learning_rate': 8.36628038770491e-06, 'epoch': 16.73})   +04/01 [17:29:16] INFO  | >> Step 17300, Loss: {'action_dit_loss': 1.590372085571289, 'mse_score': 0.0027113018557429315, 'data_time': ]8;id=886209;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=588215;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003075457992963493, 'model_time': 1.9088697360130027, 'learning_rate': 8.353747868953002e-06, 'epoch': 16.78})   +04/01 [17:30:52] INFO  | >> Step 17350, Loss: {'action_dit_loss': 1.9548945426940918, 'data_time': 0.00012295099440962076, 'model_time': ]8;id=707764;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=673918;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.947463993972633, 'learning_rate': 8.341177532012791e-06, 'epoch': 16.83})   +04/01 [17:32:31] INFO  | >> Step 17400, Loss: {'action_dit_loss': 2.0866944789886475, 'mse_score': 0.006540869921445846, 'data_time': ]8;id=689786;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=869752;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015180103946477175, 'model_time': 1.9114512570085935, 'learning_rate': 8.328569530049873e-06, 'epoch': 16.88})   +04/01 [17:34:07] INFO  | >> Step 17450, Loss: {'action_dit_loss': 2.0378646850585938, 'data_time': 0.0013898150064051151, 'model_time': ]8;id=286544;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=736833;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9102556419675238, 'learning_rate': 8.315924016688767e-06, 'epoch': 16.93})   +04/01 [17:35:45] INFO  | >> Step 17500, Loss: {'action_dit_loss': 1.9047033786773682, 'mse_score': 0.006200563907623291, 'data_time': ]8;id=368074;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=6402;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0021358240046538413, 'model_time': 1.908581506984774, 'learning_rate': 8.303241146011063e-06, 'epoch': 16.97})   +04/01 [17:37:20] INFO  | >> Step 17550, Loss: {'action_dit_loss': 1.7797569036483765, 'data_time': 0.00013707001926377416, 'model_time': ]8;id=689275;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=420252;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9128912190208212, 'learning_rate': 8.29052107255354e-06, 'epoch': 17.02})   +04/01 [17:38:58] INFO  | >> Step 17600, Loss: {'action_dit_loss': 1.54653799533844, 'mse_score': 0.004200083017349243, 'data_time': ]8;id=32146;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=96214;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014812999870628119, 'model_time': 1.916174924990628, 'learning_rate': 8.277763951306277e-06, 'epoch': 17.07})   +04/01 [17:40:35] INFO  | >> Step 17650, Loss: {'action_dit_loss': 1.4913835525512695, 'data_time': 0.0001582900295034051, 'model_time': ]8;id=440226;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=475682;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9160255439928733, 'learning_rate': 8.264969937710772e-06, 'epoch': 17.12})   +04/01 [17:42:13] INFO  | >> Step 17700, Loss: {'action_dit_loss': 1.6992895603179932, 'mse_score': 0.00399436242878437, 'data_time': ]8;id=756648;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=340140;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0036105039762333035, 'model_time': 1.9065501000150107, 'learning_rate': 8.252139187658042e-06, 'epoch': 17.17})   +04/01 [17:43:49] INFO  | >> Step 17750, Loss: {'action_dit_loss': 1.6175127029418945, 'data_time': 0.00015112000983208418, 'model_time': ]8;id=89083;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=926251;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.910384199989494, 'learning_rate': 8.23927185748673e-06, 'epoch': 17.22})   +04/01 [17:45:27] INFO  | >> Step 17800, Loss: {'action_dit_loss': 1.7548075914382935, 'mse_score': 0.0034785665571689605, 'data_time': ]8;id=647850;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=52179;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001497400226071477, 'model_time': 1.9135107459733263, 'learning_rate': 8.226368103981187e-06, 'epoch': 17.26})   +04/01 [17:47:02] INFO  | >> Step 17850, Loss: {'action_dit_loss': 1.9145920276641846, 'data_time': 0.00327595102135092, 'model_time': ]8;id=694093;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=444611;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9109161180094816, 'learning_rate': 8.213428084369586e-06, 'epoch': 17.31})   +04/01 [17:48:40] INFO  | >> Step 17900, Loss: {'action_dit_loss': 1.710749864578247, 'mse_score': 0.0030264617875218392, 'data_time': ]8;id=286436;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=226040;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.000136160000693053, 'model_time': 1.9125564970308915, 'learning_rate': 8.200451956321974e-06, 'epoch': 17.36})   +04/01 [17:50:17] INFO  | >> Step 17950, Loss: {'action_dit_loss': 1.6715118885040283, 'data_time': 0.0001432689605280757, 'model_time': ]8;id=450797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=116276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9140766650089063, 'learning_rate': 8.187439877948383e-06, 'epoch': 17.41})   +04/01 [17:51:55] INFO  | >> Step 18000, Loss: {'action_dit_loss': 1.533430576324463, 'mse_score': 0.001641186885535717, 'data_time': ]8;id=510271;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=552530;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014548399485647678, 'model_time': 1.9133167180116288, 'learning_rate': 8.174392007796878e-06, 'epoch': 17.46})   +04/01 [17:53:31] INFO  | >> Step 18050, Loss: {'action_dit_loss': 1.279416561126709, 'data_time': 0.0014141409774310887, 'model_time': ]8;id=414463;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=628437;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9128195499652065, 'learning_rate': 8.16130850485164e-06, 'epoch': 17.51})   +04/01 [17:55:09] INFO  | >> Step 18100, Loss: {'action_dit_loss': 1.8299429416656494, 'mse_score': 0.0038647808134555815, 'data_time': ]8;id=991244;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=221494;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0021341780084185302, 'model_time': 1.9100019200122915, 'learning_rate': 8.148189528531023e-06, 'epoch': 17.56})   +04/01 [17:56:44] INFO  | >> Step 18150, Loss: {'action_dit_loss': 1.5107622146606445, 'data_time': 0.0022193629993125796, 'model_time': ]8;id=303507;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=344061;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9069854359840974, 'learning_rate': 8.135035238685612e-06, 'epoch': 17.6})   +04/01 [17:58:23] INFO  | >> Step 18200, Loss: {'action_dit_loss': 1.4357385635375977, 'mse_score': 0.0038392171263694763, 'data_time': ]8;id=451574;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=184229;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014457199722528458, 'model_time': 1.911666601023171, 'learning_rate': 8.121845795596282e-06, 'epoch': 17.65})   +04/01 [17:59:58] INFO  | >> Step 18250, Loss: {'action_dit_loss': 1.6828429698944092, 'data_time': 0.0016013459535315633, 'model_time': ]8;id=241288;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=524563;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.913299058971461, 'learning_rate': 8.108621359972231e-06, 'epoch': 17.7})   +04/01 [18:01:36] INFO  | >> Step 18300, Loss: {'action_dit_loss': 1.676680564880371, 'mse_score': 0.0048384759575128555, 'data_time': ]8;id=371371;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=75576;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002237448003143072, 'model_time': 1.9126683350186795, 'learning_rate': 8.095362092949033e-06, 'epoch': 17.75})   +04/01 [18:03:12] INFO  | >> Step 18350, Loss: {'action_dit_loss': 1.8305506706237793, 'data_time': 0.0001457909820601344, 'model_time': ]8;id=457409;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=19651;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9093556019943208, 'learning_rate': 8.082068156086675e-06, 'epoch': 17.8})   +04/01 [18:04:51] INFO  | >> Step 18400, Loss: {'action_dit_loss': 2.023608684539795, 'mse_score': 0.0031250938773155212, 'data_time': ]8;id=328267;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=603727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014060470275580883, 'model_time': 1.9098565829917789, 'learning_rate': 8.068739711367584e-06, 'epoch': 17.85})   +04/01 [18:06:26] INFO  | >> Step 18450, Loss: {'action_dit_loss': 1.6783103942871094, 'data_time': 0.001302405958995223, 'model_time': ]8;id=671237;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=437983;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.912282480043359, 'learning_rate': 8.055376921194646e-06, 'epoch': 17.9})   +04/01 [18:08:06] INFO  | >> Step 18500, Loss: {'action_dit_loss': 1.8460090160369873, 'mse_score': 0.002983878366649151, 'data_time': ]8;id=340544;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=180222;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013262040447443724, 'model_time': 1.9089164120377973, 'learning_rate': 8.041979948389248e-06, 'epoch': 17.94})   +04/01 [18:09:41] INFO  | >> Step 18550, Loss: {'action_dit_loss': 1.5522373914718628, 'data_time': 0.001465614011976868, 'model_time': ]8;id=872442;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=723108;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.910909446014557, 'learning_rate': 8.028548956189274e-06, 'epoch': 17.99})   +04/01 [18:11:19] INFO  | >> Step 18600, Loss: {'action_dit_loss': 1.64578115940094, 'mse_score': 0.0027822839096188546, 'data_time': ]8;id=885506;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=111005;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014880130183883011, 'model_time': 1.9116566199809313, 'learning_rate': 8.015084108247126e-06, 'epoch': 18.04})   +04/01 [18:12:55] INFO  | >> Step 18650, Loss: {'action_dit_loss': 1.806692123413086, 'data_time': 0.0014676819555461407, 'model_time': ]8;id=549414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=82467;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9130057150032371, 'learning_rate': 8.001585568627724e-06, 'epoch': 18.09})   +04/01 [18:14:32] INFO  | >> Step 18700, Loss: {'action_dit_loss': 1.4541127681732178, 'mse_score': 0.0022069673985242845, 'data_time': ]8;id=356005;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=232335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014065220020711422, 'model_time': 1.9083534119999968, 'learning_rate': 7.988053501806518e-06, 'epoch': 18.14})   +04/01 [18:16:09] INFO  | >> Step 18750, Loss: {'action_dit_loss': 1.4513018131256104, 'data_time': 0.0013599009835161269, 'model_time': ]8;id=535280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=663984;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9095753540168516, 'learning_rate': 7.974488072667468e-06, 'epoch': 18.19})   +04/01 [18:17:47] INFO  | >> Step 18800, Loss: {'action_dit_loss': 2.4109396934509277, 'mse_score': 0.005060261860489845, 'data_time': ]8;id=949928;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=813934;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015252509620040655, 'model_time': 1.9128546380088665, 'learning_rate': 7.960889446501052e-06, 'epoch': 18.23})   +04/01 [18:19:23] INFO  | >> Step 18850, Loss: {'action_dit_loss': 1.652557611465454, 'data_time': 0.0014108899631537497, 'model_time': ]8;id=676796;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=854628;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.914184684981592, 'learning_rate': 7.947257789002232e-06, 'epoch': 18.28})   +04/01 [18:21:00] INFO  | >> Step 18900, Loss: {'action_dit_loss': 1.5591964721679688, 'mse_score': 0.004170806333422661, 'data_time': ]8;id=268402;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=206854;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015622199862264097, 'model_time': 1.913984036014881, 'learning_rate': 7.933593266268455e-06, 'epoch': 18.33})   +04/01 [18:22:36] INFO  | >> Step 18950, Loss: {'action_dit_loss': 1.5018938779830933, 'data_time': 0.001508670044131577, 'model_time': ]8;id=796028;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=687351;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9117179209715687, 'learning_rate': 7.919896044797622e-06, 'epoch': 18.38})   +04/01 [18:24:14] INFO  | >> Step 19000, Loss: {'action_dit_loss': 1.4824585914611816, 'mse_score': 0.0026425009593367575, 'data_time': ]8;id=658452;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=518119;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013859200407750905, 'model_time': 1.9090247249696404, 'learning_rate': 7.906166291486047e-06, 'epoch': 18.43})   +04/01 [18:25:51] INFO  | >> Step 19050, Loss: {'action_dit_loss': 1.3779879808425903, 'data_time': 0.0014980179839767516, 'model_time': ]8;id=607616;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=470711;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9122196940006688, 'learning_rate': 7.892404173626448e-06, 'epoch': 18.48})   +04/01 [18:27:28] INFO  | >> Step 19100, Loss: {'action_dit_loss': 1.7755566835403442, 'mse_score': 0.002753124013543129, 'data_time': ]8;id=674225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=666158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001588291022926569, 'model_time': 1.912393226986751, 'learning_rate': 7.878609858905885e-06, 'epoch': 18.53})   +04/01 [18:29:04] INFO  | >> Step 19150, Loss: {'action_dit_loss': 1.783731460571289, 'data_time': 0.0014656170387752354, 'model_time': ]8;id=331495;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=158290;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9102251600124873, 'learning_rate': 7.86478351540373e-06, 'epoch': 18.57})   +04/01 [18:30:42] INFO  | >> Step 19200, Loss: {'action_dit_loss': 1.372113585472107, 'mse_score': 0.0036878664046525954, 'data_time': ]8;id=662055;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=317530;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014915000065229833, 'model_time': 1.912087659991812, 'learning_rate': 7.850925311589614e-06, 'epoch': 18.62})   +04/01 [18:32:18] INFO  | >> Step 19250, Loss: {'action_dit_loss': 1.8280019760131836, 'data_time': 0.0014778730110265315, 'model_time': ]8;id=369038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=531981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9091443190118298, 'learning_rate': 7.83703541632138e-06, 'epoch': 18.67})   +04/01 [18:33:56] INFO  | >> Step 19300, Loss: {'action_dit_loss': 1.7502758502960205, 'mse_score': 0.0028072912245988846, 'data_time': ]8;id=39434;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=59653;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014726649969816208, 'model_time': 2.024500744009856, 'learning_rate': 7.823113998843015e-06, 'epoch': 18.72})   +04/01 [18:35:32] INFO  | >> Step 19350, Loss: {'action_dit_loss': 1.9381556510925293, 'data_time': 0.0014696870348416269, 'model_time': ]8;id=675981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=906231;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9083134229877032, 'learning_rate': 7.809161228782601e-06, 'epoch': 18.77})   +04/01 [18:37:11] INFO  | >> Step 19400, Loss: {'action_dit_loss': 1.5994211435317993, 'mse_score': 0.004029124230146408, 'data_time': ]8;id=531699;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=403159;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.003470351977739483, 'model_time': 1.9307369320304133, 'learning_rate': 7.795177276150234e-06, 'epoch': 18.82})   +04/01 [18:38:46] INFO  | >> Step 19450, Loss: {'action_dit_loss': 1.6309809684753418, 'data_time': 0.0001514590112492442, 'model_time': ]8;id=774814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=939394;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9159346159431152, 'learning_rate': 7.781162311335967e-06, 'epoch': 18.87})   +04/01 [18:40:24] INFO  | >> Step 19500, Loss: {'action_dit_loss': 1.8720042705535889, 'mse_score': 0.002887522429227829, 'data_time': ]8;id=599425;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=683501;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014387897681444883, 'model_time': 1.9132944209850393, 'learning_rate': 7.767116505107723e-06, 'epoch': 18.91})   +04/01 [18:42:00] INFO  | >> Step 19550, Loss: {'action_dit_loss': 1.87119722366333, 'data_time': 0.0014159019920043647, 'model_time': ]8;id=525721;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=158189;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9121817020350136, 'learning_rate': 7.75304002860922e-06, 'epoch': 18.96})   +04/01 [18:43:38] INFO  | >> Step 19600, Loss: {'action_dit_loss': 1.8657269477844238, 'mse_score': 0.004561480507254601, 'data_time': ]8;id=942802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=878053;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015099899610504508, 'model_time': 1.912163600034546, 'learning_rate': 7.738933053357878e-06, 'epoch': 19.01})   +04/01 [18:45:15] INFO  | >> Step 19650, Loss: {'action_dit_loss': 1.8233901262283325, 'data_time': 0.0001456090249121189, 'model_time': ]8;id=677513;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=180941;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.911123274010606, 'learning_rate': 7.724795751242739e-06, 'epoch': 19.06})   +04/01 [18:46:52] INFO  | >> Step 19700, Loss: {'action_dit_loss': 1.8157448768615723, 'mse_score': 0.005369197204709053, 'data_time': ]8;id=460767;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=549525;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014668129733763635, 'model_time': 1.9116909310105257, 'learning_rate': 7.71062829452237e-06, 'epoch': 19.11})   +04/01 [18:48:28] INFO  | >> Step 19750, Loss: {'action_dit_loss': 1.8220431804656982, 'data_time': 0.0023129190085455775, 'model_time': ]8;id=390963;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=962526;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9126712629804388, 'learning_rate': 7.696430855822759e-06, 'epoch': 19.16})   +04/01 [18:50:06] INFO  | >> Step 19800, Loss: {'action_dit_loss': 1.9189536571502686, 'mse_score': 0.003075711615383625, 'data_time': ]8;id=354803;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=711875;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013944339589215815, 'model_time': 1.9100446120137349, 'learning_rate': 7.682203608135216e-06, 'epoch': 19.2})   +04/01 [18:51:42] INFO  | >> Step 19850, Loss: {'action_dit_loss': 1.3713879585266113, 'data_time': 0.0021431110217235982, 'model_time': ]8;id=678748;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=350905;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9122031169827096, 'learning_rate': 7.667946724814264e-06, 'epoch': 19.25})   +04/01 [18:53:21] INFO  | >> Step 19900, Loss: {'action_dit_loss': 1.90435791015625, 'mse_score': 0.0032216645777225494, 'data_time': ]8;id=711332;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=405341;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00013955897884443402, 'model_time': 1.911611298972275, 'learning_rate': 7.653660379575528e-06, 'epoch': 19.3})   +04/01 [18:54:56] INFO  | >> Step 19950, Loss: {'action_dit_loss': 1.836986780166626, 'data_time': 0.0012766749714501202, 'model_time': ]8;id=688457;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=950369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9141085909795947, 'learning_rate': 7.639344746493618e-06, 'epoch': 19.35})   +04/01 [18:56:34] INFO  | >> Step 20000, Loss: {'action_dit_loss': 1.4161864519119263, 'mse_score': 0.0033754900097846983, 'data_time': ]8;id=85461;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=611046;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0021865720045752823, 'model_time': 1.9197716070339084, 'learning_rate': 7.625e-06, 'epoch': 19.4})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/checkpoints/steps_20000 +04/01 [18:56:42] INFO  | >> 📊 Saving accessed configuration... ]8;id=325301;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=687923;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#240\240]8;;\ +  INFO  | >> ✅ Configuration files saved ]8;id=623945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=743266;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\ +04/01 [18:58:18] INFO  | >> Step 20050, Loss: {'action_dit_loss': 1.8475861549377441, 'data_time': 0.00015082000754773617, 'model_time': ]8;id=394976;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=674751;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9142577649909072, 'learning_rate': 7.610626314880889e-06, 'epoch': 19.45})   +04/01 [18:59:56] INFO  | >> Step 20100, Loss: {'action_dit_loss': 2.661071538925171, 'mse_score': 0.01036742478609085, 'data_time': ]8;id=702667;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=736971;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023547919699922204, 'model_time': 1.910152277967427, 'learning_rate': 7.596223866275098e-06, 'epoch': 19.5})   +04/01 [19:01:32] INFO  | >> Step 20150, Loss: {'action_dit_loss': 1.9480403661727905, 'data_time': 0.002423673984594643, 'model_time': ]8;id=956771;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=551963;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9087862659944221, 'learning_rate': 7.58179282967192e-06, 'epoch': 19.54})   +04/01 [19:03:11] INFO  | >> Step 20200, Loss: {'action_dit_loss': 1.8125081062316895, 'mse_score': 0.005513394623994828, 'data_time': ]8;id=533188;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=379404;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015602796338498592, 'model_time': 1.911061133025214, 'learning_rate': 7.5673333809089815e-06, 'epoch': 19.59})   +04/01 [19:04:46] INFO  | >> Step 20250, Loss: {'action_dit_loss': 1.4433740377426147, 'data_time': 0.0026005979743786156, 'model_time': ]8;id=997373;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=224597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9103779070428573, 'learning_rate': 7.5528456961701025e-06, 'epoch': 19.64})   +04/01 [19:06:24] INFO  | >> Step 20300, Loss: {'action_dit_loss': 1.7060911655426025, 'mse_score': 0.005193052813410759, 'data_time': ]8;id=201332;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=237547;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001489879796281457, 'model_time': 1.9125101909739897, 'learning_rate': 7.538329951983148e-06, 'epoch': 19.69})   +04/01 [19:08:00] INFO  | >> Step 20350, Loss: {'action_dit_loss': 1.7273852825164795, 'data_time': 0.000152038992382586, 'model_time': ]8;id=885447;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=826403;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9074642960331403, 'learning_rate': 7.523786325217884e-06, 'epoch': 19.74})   +04/01 [19:09:38] INFO  | >> Step 20400, Loss: {'action_dit_loss': 1.785570502281189, 'mse_score': 0.006167816370725632, 'data_time': ]8;id=875686;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=774524;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0024173129932023585, 'model_time': 1.9061477620271035, 'learning_rate': 7.5092149930838085e-06, 'epoch': 19.79})   +04/01 [19:11:15] INFO  | >> Step 20450, Loss: {'action_dit_loss': 2.0208301544189453, 'data_time': 0.00014176900731399655, 'model_time': ]8;id=353123;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=918964;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9091832000412978, 'learning_rate': 7.494616133128008e-06, 'epoch': 19.84})   +04/01 [19:12:53] INFO  | >> Step 20500, Loss: {'action_dit_loss': 1.5523879528045654, 'mse_score': 0.004934956505894661, 'data_time': ]8;id=395019;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=161745;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0030289519927464426, 'model_time': 1.911617578996811, 'learning_rate': 7.479989923232982e-06, 'epoch': 19.88})   +04/01 [19:14:29] INFO  | >> Step 20550, Loss: {'action_dit_loss': 1.9794964790344238, 'data_time': 0.00014553900109604, 'model_time': ]8;id=808554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=655087;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9104689459782094, 'learning_rate': 7.465336541614484e-06, 'epoch': 19.93})   +04/01 [19:16:06] INFO  | >> Step 20600, Loss: {'action_dit_loss': 1.35469388961792, 'mse_score': 0.0030762234702706335, 'data_time': ]8;id=458933;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=45814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014554419904015958, 'model_time': 1.9090971630066633, 'learning_rate': 7.450656166819344e-06, 'epoch': 19.98})   +04/01 [19:17:42] INFO  | >> Step 20650, Loss: {'action_dit_loss': 1.8096301555633545, 'data_time': 0.00294991402188316, 'model_time': ]8;id=249068;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=465776;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9128186180023476, 'learning_rate': 7.435948977723296e-06, 'epoch': 20.03})   +04/01 [19:19:20] INFO  | >> Step 20700, Loss: {'action_dit_loss': 1.3934437036514282, 'mse_score': 0.0027835920453071596, 'data_time': ]8;id=821874;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=470735;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015246897237375379, 'model_time': 1.910158529994078, 'learning_rate': 7.421215153528799e-06, 'epoch': 20.08})   +04/01 [19:20:56] INFO  | >> Step 20750, Loss: {'action_dit_loss': 1.5981614589691162, 'data_time': 0.0015833720099180937, 'model_time': ]8;id=847903;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=822471;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9121062249760143, 'learning_rate': 7.406454873762848e-06, 'epoch': 20.13})   +04/01 [19:22:34] INFO  | >> Step 20800, Loss: {'action_dit_loss': 1.7084816694259644, 'mse_score': 0.004009220004081726, 'data_time': ]8;id=385709;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=711256;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001464090310037136, 'model_time': 1.9093283250113018, 'learning_rate': 7.391668318274797e-06, 'epoch': 20.17})   +04/01 [19:24:10] INFO  | >> Step 20850, Loss: {'action_dit_loss': 1.6765892505645752, 'data_time': 0.00014817900955677032, 'model_time': ]8;id=806814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=295459;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9107867550337687, 'learning_rate': 7.376855667234156e-06, 'epoch': 20.22})   +04/01 [19:25:48] INFO  | >> Step 20900, Loss: {'action_dit_loss': 1.7520973682403564, 'mse_score': 0.004899032041430473, 'data_time': ]8;id=438997;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=169930;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0031216649804264307, 'model_time': 1.9116025459952652, 'learning_rate': 7.362017101128406e-06, 'epoch': 20.27})   +04/01 [19:27:23] INFO  | >> Step 20950, Loss: {'action_dit_loss': 1.8192740678787231, 'data_time': 0.00014508998719975352, 'model_time': ]8;id=145121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=915408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9100540470099077, 'learning_rate': 7.347152800760791e-06, 'epoch': 20.32})   +04/01 [19:29:02] INFO  | >> Step 21000, Loss: {'action_dit_loss': 1.639070749282837, 'mse_score': 0.0027547178789973257, 'data_time': ]8;id=916578;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=389244;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015327120199799538, 'model_time': 1.9124232699978165, 'learning_rate': 7.3322629472481184e-06, 'epoch': 20.37})   +04/01 [19:30:38] INFO  | >> Step 21050, Loss: {'action_dit_loss': 1.5706640481948853, 'data_time': 0.0034948629909195006, 'model_time': ]8;id=886982;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=540970;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9134675230016, 'learning_rate': 7.317347722018557e-06, 'epoch': 20.42})   +04/01 [19:32:16] INFO  | >> Step 21100, Loss: {'action_dit_loss': 1.2156627178192139, 'mse_score': 0.004097750782966614, 'data_time': ]8;id=800185;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=168099;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015489000361412764, 'model_time': 1.9118801620206796, 'learning_rate': 7.302407306809417e-06, 'epoch': 20.47})   +04/01 [19:33:52] INFO  | >> Step 21150, Loss: {'action_dit_loss': 1.503409504890442, 'data_time': 0.0001484780223108828, 'model_time': ]8;id=154506;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=871415;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9107940290123224, 'learning_rate': 7.287441883664944e-06, 'epoch': 20.51})   +04/01 [19:35:30] INFO  | >> Step 21200, Loss: {'action_dit_loss': 1.6686820983886719, 'mse_score': 0.0033055458217859266, 'data_time': ]8;id=232823;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=856375;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014911702601239085, 'model_time': 1.9138346969848499, 'learning_rate': 7.272451634934096e-06, 'epoch': 20.56})   +04/01 [19:37:06] INFO  | >> Step 21250, Loss: {'action_dit_loss': 1.6545970439910889, 'data_time': 0.00015305797569453716, 'model_time': ]8;id=27965;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=435050;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9093518070294522, 'learning_rate': 7.257436743268323e-06, 'epoch': 20.61})   +04/01 [19:38:44] INFO  | >> Step 21300, Loss: {'action_dit_loss': 1.6916142702102661, 'mse_score': 0.0034248027950525284, 'data_time': ]8;id=247231;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=404924;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.004005584982223809, 'model_time': 1.9113841140060686, 'learning_rate': 7.242397391619343e-06, 'epoch': 20.66})   +04/01 [19:40:20] INFO  | >> Step 21350, Loss: {'action_dit_loss': 1.694889783859253, 'data_time': 0.00015774799976497889, 'model_time': ]8;id=334165;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=976041;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9115292170317844, 'learning_rate': 7.227333763236907e-06, 'epoch': 20.71})   +04/01 [19:41:58] INFO  | >> Step 21400, Loss: {'action_dit_loss': 1.7296061515808105, 'mse_score': 0.00329822339117527, 'data_time': ]8;id=351577;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=829822;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014958897372707725, 'model_time': 1.9129773679887876, 'learning_rate': 7.212246041666575e-06, 'epoch': 20.76})   +04/01 [19:43:34] INFO  | >> Step 21450, Loss: {'action_dit_loss': 1.3516085147857666, 'data_time': 0.00015216897008940578, 'model_time': ]8;id=961959;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=870068;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9112032629782334, 'learning_rate': 7.19713441074747e-06, 'epoch': 20.81})   +04/01 [19:45:12] INFO  | >> Step 21500, Loss: {'action_dit_loss': 1.6512525081634521, 'mse_score': 0.0027542302384972574, 'data_time': ]8;id=795702;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=739808;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001463390071876347, 'model_time': 1.914985365991015, 'learning_rate': 7.181999054610053e-06, 'epoch': 20.85})   +04/01 [19:46:48] INFO  | >> Step 21550, Loss: {'action_dit_loss': 2.3215460777282715, 'data_time': 0.002390021050814539, 'model_time': ]8;id=949860;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=83074;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9122534459456801, 'learning_rate': 7.166840157673854e-06, 'epoch': 20.9})   +04/01 [19:48:26] INFO  | >> Step 21600, Loss: {'action_dit_loss': 1.8778550624847412, 'mse_score': 0.0034701135009527206, 'data_time': ]8;id=156782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=575462;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023308719974011183, 'model_time': 1.9093487540376373, 'learning_rate': 7.151657904645253e-06, 'epoch': 20.95})   +04/01 [19:50:02] INFO  | >> Step 21650, Loss: {'action_dit_loss': 1.7046719789505005, 'data_time': 0.00014638900756835938, 'model_time': ]8;id=443814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=116587;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9097837680019438, 'learning_rate': 7.136452480515208e-06, 'epoch': 21.0})   +04/01 [19:51:40] INFO  | >> Step 21700, Loss: {'action_dit_loss': 1.6521676778793335, 'mse_score': 0.003509878367185593, 'data_time': ]8;id=127767;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=50068;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002322474028915167, 'model_time': 1.9095844139810652, 'learning_rate': 7.121224070557018e-06, 'epoch': 21.05})   +04/01 [19:53:15] INFO  | >> Step 21750, Loss: {'action_dit_loss': 1.6574188470840454, 'data_time': 0.0016436389996670187, 'model_time': ]8;id=653064;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=479318;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9135274800355546, 'learning_rate': 7.105972860324051e-06, 'epoch': 21.1})   +04/01 [19:54:53] INFO  | >> Step 21800, Loss: {'action_dit_loss': 1.610192060470581, 'mse_score': 0.004036775976419449, 'data_time': ]8;id=524108;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=625726;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015645899111405015, 'model_time': 1.9127751620253548, 'learning_rate': 7.0906990356474895e-06, 'epoch': 21.14})   +04/01 [19:56:30] INFO  | >> Step 21850, Loss: {'action_dit_loss': 1.4001197814941406, 'data_time': 0.0014259609743021429, 'model_time': ]8;id=602980;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=253690;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9090177260222845, 'learning_rate': 7.075402782634068e-06, 'epoch': 21.19})   +04/01 [19:58:08] INFO  | >> Step 21900, Loss: {'action_dit_loss': 1.6239023208618164, 'mse_score': 0.0037558473646640777, 'data_time': ]8;id=1640;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=644674;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022977259941399097, 'model_time': 1.907604917010758, 'learning_rate': 7.0600842876638034e-06, 'epoch': 21.24})   +04/01 [19:59:44] INFO  | >> Step 21950, Loss: {'action_dit_loss': 2.1365761756896973, 'data_time': 0.00015476898988708854, 'model_time': ]8;id=196412;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=696643;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9093508839723654, 'learning_rate': 7.04474373738772e-06, 'epoch': 21.29})   +04/01 [20:01:22] INFO  | >> Step 22000, Loss: {'action_dit_loss': 1.7426306009292603, 'mse_score': 0.006175992637872696, 'data_time': ]8;id=70966;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=999716;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014925910509191453, 'model_time': 1.912998914020136, 'learning_rate': 7.029381318725583e-06, 'epoch': 21.34})   +04/01 [20:02:57] INFO  | >> Step 22050, Loss: {'action_dit_loss': 1.8262888193130493, 'data_time': 0.0024372150073759258, 'model_time': ]8;id=532280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=581070;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9090410270146094, 'learning_rate': 7.013997218863618e-06, 'epoch': 21.39})   +04/01 [20:04:36] INFO  | >> Step 22100, Loss: {'action_dit_loss': 1.7984304428100586, 'mse_score': 0.0031458061188459397, 'data_time': ]8;id=45649;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=666549;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014081900008022785, 'model_time': 1.9966232450096868, 'learning_rate': 6.9985916252522225e-06, 'epoch': 21.44})   +04/01 [20:06:12] INFO  | >> Step 22150, Loss: {'action_dit_loss': 2.2692928314208984, 'data_time': 0.0015557910082861781, 'model_time': ]8;id=17031;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=374440;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9103845930076204, 'learning_rate': 6.983164725603694e-06, 'epoch': 21.48})   +04/01 [20:07:50] INFO  | >> Step 22200, Loss: {'action_dit_loss': 1.8490285873413086, 'mse_score': 0.0034874238073825834, 'data_time': ]8;id=768544;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=689023;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023194659734144807, 'model_time': 1.909709078958258, 'learning_rate': 6.9677167078899385e-06, 'epoch': 21.53})   +04/01 [20:09:26] INFO  | >> Step 22250, Loss: {'action_dit_loss': 1.5345885753631592, 'data_time': 0.0001519270008429885, 'model_time': ]8;id=770899;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=793435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9107083939597942, 'learning_rate': 6.952247760340176e-06, 'epoch': 21.58})   +04/01 [20:11:04] INFO  | >> Step 22300, Loss: {'action_dit_loss': 1.5523697137832642, 'mse_score': 0.004142683744430542, 'data_time': ]8;id=572536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=354992;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.001466283982153982, 'model_time': 1.9089317329926416, 'learning_rate': 6.9367580714386515e-06, 'epoch': 21.63})   +04/01 [20:12:39] INFO  | >> Step 22350, Loss: {'action_dit_loss': 1.6472476720809937, 'data_time': 0.0022855940042063594, 'model_time': ]8;id=816990;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=717941;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9134986660210416, 'learning_rate': 6.921247829922334e-06, 'epoch': 21.68})   +04/01 [20:14:18] INFO  | >> Step 22400, Loss: {'action_dit_loss': 1.6556870937347412, 'mse_score': 0.003387768194079399, 'data_time': ]8;id=191132;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=850916;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0014141600113362074, 'model_time': 1.9102017460390925, 'learning_rate': 6.905717224778623e-06, 'epoch': 21.73})   +04/01 [20:15:54] INFO  | >> Step 22450, Loss: {'action_dit_loss': 1.5931657552719116, 'data_time': 0.002180011011660099, 'model_time': ]8;id=989441;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=479911;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9095097240060568, 'learning_rate': 6.890166445243041e-06, 'epoch': 21.77})   +04/01 [20:17:32] INFO  | >> Step 22500, Loss: {'action_dit_loss': 1.9162912368774414, 'mse_score': 0.004416052624583245, 'data_time': ]8;id=829538;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=209159;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014736800221726298, 'model_time': 1.9110602699802257, 'learning_rate': 6.874595680796928e-06, 'epoch': 21.82})   +04/01 [20:19:08] INFO  | >> Step 22550, Loss: {'action_dit_loss': 1.9991110563278198, 'data_time': 0.0021932650124654174, 'model_time': ]8;id=325138;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=540418;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.908106843009591, 'learning_rate': 6.859005121165135e-06, 'epoch': 21.87})   +04/01 [20:20:46] INFO  | >> Step 22600, Loss: {'action_dit_loss': 1.7113341093063354, 'mse_score': 0.004043063521385193, 'data_time': ]8;id=265618;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=38399;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022764549939893186, 'model_time': 1.9141589010250755, 'learning_rate': 6.8433949563137125e-06, 'epoch': 21.92})   +04/01 [20:22:22] INFO  | >> Step 22650, Loss: {'action_dit_loss': 1.5123575925827026, 'data_time': 0.0002956069656647742, 'model_time': ]8;id=374314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=904017;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9109349690261297, 'learning_rate': 6.8277653764475915e-06, 'epoch': 21.97})   +04/01 [20:24:00] INFO  | >> Step 22700, Loss: {'action_dit_loss': 1.487649917602539, 'mse_score': 0.004726479947566986, 'data_time': ]8;id=348048;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=286488;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0022025879588909447, 'model_time': 1.912757121026516, 'learning_rate': 6.812116572008271e-06, 'epoch': 22.02})   +04/01 [20:25:36] INFO  | >> Step 22750, Loss: {'action_dit_loss': 1.7151468992233276, 'data_time': 0.002250919002108276, 'model_time': ]8;id=932694;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=419453;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9121174470055848, 'learning_rate': 6.796448733671495e-06, 'epoch': 22.07})   +04/01 [20:27:14] INFO  | >> Step 22800, Loss: {'action_dit_loss': 1.70063316822052, 'mse_score': 0.004758525639772415, 'data_time': ]8;id=355505;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=195892;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001494280295446515, 'model_time': 1.9116041560191661, 'learning_rate': 6.780762052344929e-06, 'epoch': 22.11})   +04/01 [20:28:50] INFO  | >> Step 22850, Loss: {'action_dit_loss': 1.9289056062698364, 'data_time': 0.002535027975682169, 'model_time': ]8;id=969209;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=836020;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.908825813967269, 'learning_rate': 6.765056719165833e-06, 'epoch': 22.16})   +04/01 [20:30:27] INFO  | >> Step 22900, Loss: {'action_dit_loss': 1.6744331121444702, 'mse_score': 0.00300709642469883, 'data_time': ]8;id=762400;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=445120;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015634798910468817, 'model_time': 1.911445731006097, 'learning_rate': 6.749332925498738e-06, 'epoch': 22.21})   +04/01 [20:32:04] INFO  | >> Step 22950, Loss: {'action_dit_loss': 1.8292608261108398, 'data_time': 0.0001562690013088286, 'model_time': ]8;id=189222;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=571971;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9156948259915225, 'learning_rate': 6.733590862933106e-06, 'epoch': 22.26})   +04/01 [20:33:42] INFO  | >> Step 23000, Loss: {'action_dit_loss': 1.864189624786377, 'mse_score': 0.004710308462381363, 'data_time': ]8;id=343848;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=693024;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0023406310356222093, 'model_time': 1.908837347989902, 'learning_rate': 6.7178307232810015e-06, 'epoch': 22.31})   +04/01 [20:35:18] INFO  | >> Step 23050, Loss: {'action_dit_loss': 1.8020135164260864, 'data_time': 0.00014743802603334188, 'model_time': ]8;id=752524;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=446815;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9130325349979103, 'learning_rate': 6.702052698574752e-06, 'epoch': 22.36})   +04/01 [20:36:56] INFO  | >> Step 23100, Loss: {'action_dit_loss': 1.4763375520706177, 'mse_score': 0.0028650542721152306, 'data_time': ]8;id=468849;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=44412;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0015783680137246847, 'model_time': 1.908876004978083, 'learning_rate': 6.686256981064613e-06, 'epoch': 22.41})   +04/01 [20:38:32] INFO  | >> Step 23150, Loss: {'action_dit_loss': 2.0827207565307617, 'data_time': 0.0023818109766580164, 'model_time': ]8;id=644718;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=456068;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9095150479697622, 'learning_rate': 6.670443763216412e-06, 'epoch': 22.45})   +04/01 [20:40:10] INFO  | >> Step 23200, Loss: {'action_dit_loss': 1.7807115316390991, 'mse_score': 0.003426603600382805, 'data_time': ]8;id=60144;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=78686;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0013454790459945798, 'model_time': 1.9146522359806113, 'learning_rate': 6.6546132377092235e-06, 'epoch': 22.5})   +04/01 [20:41:47] INFO  | >> Step 23250, Loss: {'action_dit_loss': 1.5478307008743286, 'data_time': 0.0021448529441840947, 'model_time': ]8;id=538009;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=840010;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.154884787974879, 'learning_rate': 6.638765597433e-06, 'epoch': 22.55})   +04/01 [20:43:25] INFO  | >> Step 23300, Loss: {'action_dit_loss': 1.8217226266860962, 'mse_score': 0.004537307843565941, 'data_time': ]8;id=32653;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=149715;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014825299149379134, 'model_time': 1.9129074270022102, 'learning_rate': 6.622901035486241e-06, 'epoch': 22.6})   +04/01 [20:45:00] INFO  | >> Step 23350, Loss: {'action_dit_loss': 1.8153629302978516, 'data_time': 0.0014720960170961916, 'model_time': ]8;id=459457;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=36489;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9133966109948233, 'learning_rate': 6.607019745173625e-06, 'epoch': 22.65})   +04/01 [20:46:38] INFO  | >> Step 23400, Loss: {'action_dit_loss': 1.6057716608047485, 'mse_score': 0.003777046874165535, 'data_time': ]8;id=676502;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=384123;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.002235070976894349, 'model_time': 1.9092124390299432, 'learning_rate': 6.5911219200036645e-06, 'epoch': 22.7})   +04/01 [20:48:14] INFO  | >> Step 23450, Loss: {'action_dit_loss': 1.6936931610107422, 'data_time': 0.00014462199760600924, 'model_time': ]8;id=33958;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=634487;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9122565790312365, 'learning_rate': 6.5752077536863404e-06, 'epoch': 22.74})   +04/01 [20:49:54] INFO  | >> Step 23500, Loss: {'action_dit_loss': 1.820154070854187, 'mse_score': 0.0031163908541202547, 'data_time': ]8;id=388984;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=390084;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00014777196338400245, 'model_time': 1.9097207259619609, 'learning_rate': 6.559277440130747e-06, 'epoch': 22.79})   +04/01 [20:51:30] INFO  | >> Step 23550, Loss: {'action_dit_loss': 1.6928534507751465, 'data_time': 0.003526241984218359, 'model_time': ]8;id=144383;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=555178;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.907158168964088, 'learning_rate': 6.543331173442729e-06, 'epoch': 22.84})   +04/01 [20:53:08] INFO  | >> Step 23600, Loss: {'action_dit_loss': 1.785016417503357, 'mse_score': 0.0034721486270427706, 'data_time': ]8;id=292227;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=261736;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001564410049468279, 'model_time': 1.916460320004262, 'learning_rate': 6.5273691479225124e-06, 'epoch': 22.89})   +04/01 [20:54:43] INFO  | >> Step 23650, Loss: {'action_dit_loss': 1.5930664539337158, 'data_time': 0.000146211008541286, 'model_time': ]8;id=523285;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=542895;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9117389760212973, 'learning_rate': 6.5113915580623434e-06, 'epoch': 22.94})   +04/01 [20:56:21] INFO  | >> Step 23700, Loss: {'action_dit_loss': 2.316502571105957, 'mse_score': 0.005076767131686211, 'data_time': ]8;id=274492;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=812609;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00016309000784531236, 'model_time': 1.9139450729708187, 'learning_rate': 6.4953985985441084e-06, 'epoch': 22.99})   +04/01 [20:57:57] INFO  | >> Step 23750, Loss: {'action_dit_loss': 1.9258394241333008, 'data_time': 0.0001487199915573001, 'model_time': ]8;id=641599;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=299449;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9160213710274547, 'learning_rate': 6.479390464236974e-06, 'epoch': 23.04})   +04/01 [20:59:36] INFO  | >> Step 23800, Loss: {'action_dit_loss': 1.5771383047103882, 'mse_score': 0.0029189372435212135, 'data_time': ]8;id=128594;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=142321;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0036970010260120034, 'model_time': 1.908447691006586, 'learning_rate': 6.463367350195006e-06, 'epoch': 23.08})   +04/01 [21:01:12] INFO  | >> Step 23850, Loss: {'action_dit_loss': 1.4311637878417969, 'data_time': 0.00015316001372411847, 'model_time': ]8;id=942333;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=748022;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.9112580189830624, 'learning_rate': 6.447329451654792e-06, 'epoch': 23.13})   +04/01 [21:02:50] INFO  | >> Step 23900, Loss: {'action_dit_loss': 1.6274895668029785, 'mse_score': 0.004564629122614861, 'data_time': ]8;id=886593;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=335112;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00015173997962847352, 'model_time': 1.911048571986612, 'learning_rate': 6.431276964033062e-06, 'epoch': 23.18})   +04/01 [21:04:25] INFO  | >> Step 23950, Loss: {'action_dit_loss': 1.405930519104004, 'data_time': 0.003968784003518522, 'model_time': ]8;id=576713;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=568507;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.912037053029053, 'learning_rate': 6.415210082924314e-06, 'epoch': 23.23})   +04/01 [21:06:03] INFO  | >> Step 24000, Loss: {'action_dit_loss': 1.7007999420166016, 'mse_score': 0.0036229565739631653, 'data_time': ]8;id=165156;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=746385;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00013955996837466955, 'model_time': 1.917245541990269, 'learning_rate': 6.399129004098422e-06, 'epoch': 23.28})   +04/01 [21:07:40] INFO  | >> Step 24050, Loss: {'action_dit_loss': 1.620194911956787, 'data_time': 0.000152669963426888, 'model_time': 2.135348233045079, 'learning_rate': 6.3830339234982596e-06, 'epoch': ]8;id=182547;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=832250;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  23.33})   +04/01 [21:09:18] INFO  | >> Step 24100, Loss: {'action_dit_loss': 1.6712872982025146, 'mse_score': 0.003804364055395126, 'data_time': 0.00016256998060271144, 'model_time': 1.9108468100312166, ]8;id=210743;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=830541;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'learning_rate': 6.366925037237302e-06, 'epoch': 23.38})   +04/01 [21:10:54] INFO  | >> Step 24150, Loss: {'action_dit_loss': 1.8835327625274658, 'data_time': 0.00015405897283926606, 'model_time': 1.9133762130513787, 'learning_rate': 6.350802541597247e-06, ]8;id=27560;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=378427;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 23.42})   +04/01 [21:12:32] INFO  | >> Step 24200, Loss: {'action_dit_loss': 1.7432206869125366, 'mse_score': 0.006121080368757248, 'data_time': 0.003973048005718738, 'model_time': 1.906702039996162, ]8;id=842700;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=578443;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'learning_rate': 6.334666633025616e-06, 'epoch': 23.47})   +04/01 [21:14:07] INFO  | >> Step 24250, Loss: {'action_dit_loss': 1.7607790231704712, 'data_time': 0.00017676001880317926, 'model_time': 1.9101789579726756, 'learning_rate': 6.3185175081333595e-06, ]8;id=68941;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=324314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 23.52})   diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/files/requirements.txt b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..19b40c170b82375c4632fb77f1a32b91239f1d62 --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/files/requirements.txt @@ -0,0 +1,161 @@ +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 +ray==2.54.0 +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 +jsonschema-specifications==2025.9.1 +snntorch==0.9.4 +rpds-py==0.30.0 +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 +PyMuPDF==1.27.2.2 +decord==0.6.0 +ninja==1.13.0 +albucore==0.0.17 +attrs==26.1.0 +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 +jsonschema==4.26.0 +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 +referencing==0.37.0 +grpcio==1.78.0 +nvidia-cusparse-cu12==12.5.7.53 +sentry-sdk==2.54.0 +httpcore==1.0.9 +opencv-python-headless==4.11.0.86 +omegaconf==2.3.0 +pandas==2.3.3 +eva-decord==0.6.1 +pip==26.0.1 +inflect==7.3.1 +jaraco.text==3.12.1 +autocommand==2.2.2 +backports.tarfile==1.2.0 +jaraco.functools==4.0.1 +zipp==3.19.2 +more-itertools==10.3.0 +tomli==2.0.1 +typing_extensions==4.12.2 +typeguard==4.3.0 +wheel==0.45.1 +platformdirs==4.2.2 +importlib_metadata==8.0.0 +jaraco.collections==5.1.0 +packaging==24.2 +jaraco.context==5.3.0 diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/files/wandb-metadata.json b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/files/wandb-metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..642deaa820d673fe686142bec3540f8ccf696db4 --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/files/wandb-metadata.json @@ -0,0 +1,143 @@ +{ + "os": "Linux-6.8.0-106-generic-x86_64-with-glibc2.39", + "python": "CPython 3.10.19", + "startedAt": "2026-04-01T08:09:31.473199Z", + "args": [ + "--config_yaml", + "starVLA/config/training/starvla_train_discrete_diffusion_real.yaml", + "--framework.name", + "QwenDiscreteDiffusion", + "--framework.qwenvl.base_vlm", + "playground/Pretrained_models/Qwen2.5-VL-3B-Instruct-Action", + "--framework.qwenvl.vl_hidden_dim", + "4096", + "--framework.qwenvl.attn_implementation", + "flash_attention_2", + "--framework.action_model.representation", + "bin", + "--framework.action_model.num_bins", + "256", + "--framework.action_model.action_low", + "-1.0", + "--framework.action_model.action_high", + "1.0", + "--framework.action_model.num_inference_steps", + "8", + "--datasets.vla_data.data_root_dir", + "playground/Datasets/FastUMI", + "--datasets.vla_data.data_mix", + "dynamic-329-v3", + "--datasets.vla_data.include_state", + "false", + "--datasets.vla_data.per_device_batch_size", + "8", + "--datasets.vla_data.video_backend", + "torchvision_av", + "--trainer.freeze_modules", + "", + "--trainer.is_resume", + "true", + "--trainer.max_train_steps", + "50000", + "--trainer.save_interval", + "10000", + "--trainer.logging_frequency", + "50", + "--trainer.eval_interval", + "100", + "--trainer.gradient_accumulation_steps", + "1", + "--run_root_dir", + "./results/Checkpoints", + "--run_id", + "fastumi_pickandplace_qwenDiscreteDiffusion_329v3", + "--wandb_project", + "starVLA_FastUMI_dynamic_1", + "--wandb_entity", + "2200011093-peking-university" + ], + "program": "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", + "codePath": "starVLA/training/train_starvla.py", + "codePathLocal": "starVLA/training/train_starvla.py", + "git": { + "remote": "https://github.com/Kaiwen-Hong/starVLA.git", + "commit": "92eee8a58010e7bbcc4a2954533abba1a5d4b3e8" + }, + "email": "wangpc@berkeley.edu", + "root": "./results/Checkpoints/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb", + "host": "tams02", + "executable": "/home/wangpc/miniconda3/envs/starVLA/bin/python3.10", + "cpu_count": 192, + "cpu_count_logical": 384, + "gpu": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "gpu_count": 8, + "disk": { + "/": { + "total": "3776651378688", + "used": "158974988288" + } + }, + "memory": { + "total": "1081552064512" + }, + "gpu_nvidia": [ + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-41f2ee49-ba06-f304-cfa5-4d526d8f5673" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-91f82c0c-10ef-1f95-9f6d-1102b8e832b5" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-1f3c0889-b740-5143-e064-afeb49245756" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-49955a45-509a-e8af-a468-b9ef0449b005" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-065fc6ce-c1cd-c143-b421-32b915c9d8fd" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-d16b5acf-a100-2d1b-8138-1661892f3d26" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-b7a88059-1d3f-da1c-9903-fd4acd4936ab" + }, + { + "name": "NVIDIA RTX PRO 6000 Blackwell Server Edition", + "memoryTotal": "102641958912", + "cudaCores": 24064, + "architecture": "Blackwell", + "uuid": "GPU-747dc32b-b025-76e9-697d-fd33ef441b47" + } + ], + "cudaVersion": "13.1", + "writerId": "ryodr5ajjw36tr3878ixgcp6firtis1d" +} \ No newline at end of file diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/logs/debug-core.log b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/logs/debug-core.log new file mode 100644 index 0000000000000000000000000000000000000000..62539e9d8eb7e8c232abb797263fe80d7cd6fa75 --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/logs/debug-core.log @@ -0,0 +1,7 @@ +{"time":"2026-04-01T08:09:31.526549651Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmpkzl_ov_q/port-2885434.txt","pid":2885434,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false} +{"time":"2026-04-01T08:09:31.527619821Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":2885434} +{"time":"2026-04-01T08:09:31.527602871Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-2885434-2894913-4172913789/socket","Net":"unix"}} +{"time":"2026-04-01T08:09:31.712212743Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"} +{"time":"2026-04-01T08:09:31.716242672Z","level":"INFO","msg":"handleInformInit: received","streamId":"8iyo5o8r","id":"1(@)"} +{"time":"2026-04-01T08:09:32.000133143Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"8iyo5o8r","id":"1(@)"} +{"time":"2026-04-01T08:09:37.615784072Z","level":"INFO","msg":"connection: cancelling request","id":"1(@)","requestId":"m8ymo7z7mpfl"} diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/logs/debug-internal.log b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/logs/debug-internal.log new file mode 100644 index 0000000000000000000000000000000000000000..f358a543d56b251b56c1051fb03f80560874117f --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/logs/debug-internal.log @@ -0,0 +1,6 @@ +{"time":"2026-04-01T08:09:31.716368312Z","level":"INFO","msg":"stream: starting","core version":"0.25.0"} +{"time":"2026-04-01T08:09:31.999909493Z","level":"INFO","msg":"stream: created new stream","id":"8iyo5o8r"} +{"time":"2026-04-01T08:09:32.000126723Z","level":"INFO","msg":"stream: started","id":"8iyo5o8r"} +{"time":"2026-04-01T08:09:32.000148633Z","level":"INFO","msg":"handler: started","stream_id":"8iyo5o8r"} +{"time":"2026-04-01T08:09:32.000204322Z","level":"INFO","msg":"sender: started","stream_id":"8iyo5o8r"} +{"time":"2026-04-01T08:09:32.000215842Z","level":"INFO","msg":"writer: started","stream_id":"8iyo5o8r"} diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/logs/debug.log b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/logs/debug.log new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/run-8iyo5o8r.wandb b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/run-8iyo5o8r.wandb new file mode 100644 index 0000000000000000000000000000000000000000..a542dc799a0c6fe5ae837038e3a8ae14a9856a21 --- /dev/null +++ b/fastumi_pickandplace_qwenDiscreteDiffusion_329v3/wandb/wandb/run-20260401_080931-8iyo5o8r/run-8iyo5o8r.wandb @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b10e446ee29e066205d2f97cfaeb9b7ddc61a21ec6b5ff6d463778e394fd1653 +size 24018944