diff --git a/.gitattributes b/.gitattributes index 1206b1178a2443c32edf4f9210eee78b4ca049d4..2e98e533a8bdec2ba79c5ab068acab46ce9a84fb 100644 --- a/.gitattributes +++ b/.gitattributes @@ -46,3 +46,4 @@ fastumi_pickandplace_qwenPI/wandb/wandb/run-20260315_072213-nyjyyu3l/run-nyjyyu3 fastumi_pickandplace_qwenPI_no_state/wandb/wandb/run-20260316_233258-pub06q0f/run-pub06q0f.wandb filter=lfs diff=lfs merge=lfs -text fastumi_pickandplace_discrete_diffusion_real_0314_no_state/wandb/wandb/run-20260317_100615-4gprtyxj/run-4gprtyxj.wandb filter=lfs diff=lfs merge=lfs -text fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_163159-e71tc6ad/run-e71tc6ad.wandb filter=lfs diff=lfs merge=lfs -text +fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/wandb/wandb/run-20260318_082519-ogkdxa4a/run-ogkdxa4a.wandb filter=lfs diff=lfs merge=lfs -text diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_10000_pytorch_model.pt b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_10000_pytorch_model.pt new file mode 100644 index 0000000000000000000000000000000000000000..32c4f78589e7e01083512c980740f18d18c6e456 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_10000_pytorch_model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5578245ba3be268fd31b3e0858b8ffc911fd84129e8fa9a80d4f3e8e9ec4aa53 +size 12492717308 diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_15000_pytorch_model.pt b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_15000_pytorch_model.pt new file mode 100644 index 0000000000000000000000000000000000000000..04cca0a32a330405d7996bee8440956144d84421 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_15000_pytorch_model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:817783c3a9b0caa915144bba5fc1184f634e84c14335c2c17a936829b3c5310b +size 12492717308 diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_5000_pytorch_model.pt b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_5000_pytorch_model.pt new file mode 100644 index 0000000000000000000000000000000000000000..d2e23506361262736e80bcc3a06a21c2f5beccce --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_5000_pytorch_model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ce4439aa4f3e3edec50b90b5bf595c8a3f9b9ace9e08c907bdaf6562f776295 +size 12492715921 diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/config.yaml b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..78b37c7181891964e73ee39257bcb23f617020c3 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/config.yaml @@ -0,0 +1,79 @@ +datasets: + vla_data: + action_mode: abs + data_mix: fastumi_pickandplace_ur5_0314-v2 + 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_discrete_diffusion_real_0314_no_state_fixgripper +run_id: fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper +run_root_dir: ./results/Checkpoints +seed: 42 +trainer: + eval_interval: 100 + freeze_modules: null + gradient_accumulation_steps: 1 + gradient_clipping: 1.0 + is_resume: false + learning_rate: + action_model: 0.0001 + base: 1.0e-05 + qwen_vl_interface: 1.0e-05 + logging_frequency: 50 + lr_scheduler_type: cosine_with_min_lr + max_train_steps: 20000 + 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: 5000 + scheduler_specific_kwargs: + min_lr: 5.0e-07 +wandb_entity: 2200011093-peking-university +wandb_project: starVLA_FastUMI diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/dataset_statistics.json b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/dataset_statistics.json new file mode 100644 index 0000000000000000000000000000000000000000..86b103d9c4a74a50020f9d21ee0bfe73ae5847a4 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/dataset_statistics.json @@ -0,0 +1,178 @@ +{ + "new_embodiment": { + "action": { + "mean": [ + -0.00017731482512317598, + 6.326655420707539e-05, + -0.0003823576553259045, + 0.9999275803565979, + 0.00015219292254187167, + -7.193408237071708e-05, + -0.00015269513824023306, + 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[ + 0.49783000349998474, + -0.10034999996423721, + 0.32138198614120483, + 0.9993224143981934, + 0.04183037206530571, + 0.004732622765004635, + 0.04235748574137688, + 0.9986677765846252, + 0.03970242291688919, + 1.0 + ], + "min": [ + 0.19434399902820587, + -0.44425100088119507, + 0.0019030000548809767, + 0.999085009098053, + -0.042528580874204636, + -0.005806926172226667, + -0.04183799773454666, + 0.9984964728355408, + -0.03961476683616638, + 0.0 + ], + "q01": [ + 0.23710880234837534, + -0.3849276554584503, + 0.00841386997140944, + 0.9991415911912918, + -0.041123956106603146, + -0.004370019193738699, + -0.04099516797810793, + 0.9984980225563049, + -0.03880806788802147, + 0.0 + ], + "q99": [ + 0.46919367551803587, + -0.1585090310871601, + 0.2566446015238762, + 0.999306601881981, + 0.04096023611724377, + 0.002124080888461314, + 0.04100460018962622, + 0.9986270666122437, + 0.03915046207606793, + 1.0 + ] + }, + "num_transitions": 26330, + "num_trajectories": 300 + } +} \ No newline at end of file diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/summary.jsonl b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/summary.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..502ebe934436b2ca8f4dbd60020c647fece4de8e --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/summary.jsonl @@ -0,0 +1,3 @@ +{"steps": 5000} +{"steps": 10000} +{"steps": 15000} diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/wandb/wandb/debug-internal.log b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/wandb/wandb/debug-internal.log new file mode 100644 index 0000000000000000000000000000000000000000..05d6cceeb9a276d29e9a1dfd71826e4b3a56f9e3 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/wandb/wandb/debug-internal.log @@ -0,0 +1,6 @@ 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a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/wandb/wandb/run-20260318_082519-ogkdxa4a/files/output.log b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/wandb/wandb/run-20260318_082519-ogkdxa4a/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..926425356a706abf27d22f243d201ea8bb61e070 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/wandb/wandb/run-20260318_082519-ogkdxa4a/files/output.log @@ -0,0 +1,448 @@ +03/18 [08:25:20] INFO  | >> ***** Training Configuration ***** ]8;id=935518;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=571858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#341\341]8;;\ +  INFO  | >> Total optimization steps = 20000 ]8;id=98246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=229258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#342\342]8;;\ +  INFO  | >> Per device batch size = 8 ]8;id=208496;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=750800;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#343\343]8;;\ +  INFO  | >> Gradient accumulation steps = 1 ]8;id=471029;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=617889;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#344\344]8;;\ +  INFO  | >> Total batch size = 64 ]8;id=844962;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=167414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#345\345]8;;\ + 6%|█████████▊ | 1100/20000 [35:28<10:00:49, 1.91s/it, data_times=0.003, model_times=1.903] +03/18 [08:26:57] INFO  | >> Step 50, Loss: {'action_dit_loss': 4.851728439331055, 'data_time': 0.00016991794109344482, 'model_time': 1.9069696660153568, 'learning_rate': 1.0000000000000001e-07, 'epoch': 0.12}) ]8;id=225772;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=800581;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [08:28:35] INFO  | >> Step 100, Loss: {'action_dit_loss': 2.8078606128692627, 'mse_score': 0.015987396240234375, 'data_time': 0.0034637609496712685, 'model_time': 1.9037100719287992, 'learning_rate': 2.0000000000000002e-07, ]8;id=101414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=376417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 0.24})   +03/18 [08:30:11] INFO  | >> Step 150, Loss: {'action_dit_loss': 2.471304416656494, 'data_time': 0.00019925786182284355, 'model_time': 1.9163010902702808, 'learning_rate': 3.0000000000000004e-07, 'epoch': 0.36}) ]8;id=846335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=45561;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [08:31:49] INFO  | >> Step 200, Loss: {'action_dit_loss': 2.3288960456848145, 'mse_score': 0.014440347254276276, 'data_time': 0.003381136804819107, 'model_time': 1.9076934037730098, 'learning_rate': 4.0000000000000003e-07, 'epoch': ]8;id=967096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=396922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.49})   +03/18 [08:33:25] INFO  | >> Step 250, Loss: {'action_dit_loss': 2.3440074920654297, 'data_time': 0.003146001137793064, 'model_time': 1.9036635761149228, 'learning_rate': 5.000000000000001e-07, 'epoch': 0.61}) ]8;id=659176;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=648564;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [08:35:02] INFO  | >> Step 300, Loss: {'action_dit_loss': 2.0759477615356445, 'mse_score': 0.017648744583129882, 'data_time': 0.00016118865460157394, 'model_time': 1.9077855348587036, 'learning_rate': 6.000000000000001e-07, ]8;id=201629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=738797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 0.73})   +03/18 [08:36:38] INFO  | >> Step 350, Loss: {'action_dit_loss': 1.8839914798736572, 'data_time': 0.0031604343093931675, 'model_time': 1.9051871690899134, 'learning_rate': 7.000000000000001e-07, 'epoch': 0.85}) ]8;id=810620;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=303445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [08:38:15] INFO  | >> Step 400, Loss: {'action_dit_loss': 1.9676527976989746, 'mse_score': 0.01825474500656128, 'data_time': 0.00015946896746754646, 'model_time': 1.9053805558942258, 'learning_rate': 8.000000000000001e-07, 'epoch': ]8;id=105907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=398591;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.97})   +03/18 [08:39:53] INFO  | >> Step 450, Loss: {'action_dit_loss': 2.0630125999450684, 'data_time': 0.0002765180543065071, 'model_time': 1.9153536409139633, 'learning_rate': 9.000000000000001e-07, 'epoch': 1.09}) ]8;id=382554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=170555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [08:41:30] INFO  | >> Step 500, Loss: {'action_dit_loss': 2.3002398014068604, 'mse_score': 0.01432628184556961, 'data_time': 0.005604070145636797, 'model_time': 1.908262938261032, 'learning_rate': 1.0000000000000002e-06, 'epoch': ]8;id=279946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=735911;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.21})   +03/18 [08:43:06] INFO  | >> Step 550, Loss: {'action_dit_loss': 1.7462313175201416, 'data_time': 0.00022671790793538094, 'model_time': 1.9066051258705556, 'learning_rate': 1.1e-06, 'epoch': 1.33}) ]8;id=638720;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=665822;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [08:44:44] INFO  | >> Step 600, Loss: {'action_dit_loss': 2.103987693786621, 'mse_score': 0.00932752639055252, 'data_time': 0.0001565292477607727, 'model_time': 1.9029070646502078, 'learning_rate': 1.2000000000000002e-06, 'epoch': ]8;id=171339;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=484714;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.46})   +03/18 [08:46:19] INFO  | >> Step 650, Loss: {'action_dit_loss': 1.4028326272964478, 'data_time': 0.005729801021516323, 'model_time': 1.9041822631843388, 'learning_rate': 1.3e-06, 'epoch': 1.58}) ]8;id=721590;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=584004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [08:47:57] INFO  | >> Step 700, Loss: {'action_dit_loss': 1.371411919593811, 'mse_score': 0.005769423767924308, 'data_time': 0.0001452290453016758, 'model_time': 1.9020452960394323, 'learning_rate': 1.4000000000000001e-06, 'epoch': ]8;id=805635;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=813694;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  1.7})   +03/18 [08:49:32] INFO  | >> Step 750, Loss: {'action_dit_loss': 1.935182809829712, 'data_time': 0.00016520917415618896, 'model_time': 1.9073967263102531, 'learning_rate': 1.5e-06, 'epoch': 1.82}) ]8;id=844151;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=330776;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [08:51:10] INFO  | >> Step 800, Loss: {'action_dit_loss': 1.3892487287521362, 'mse_score': 0.006398874521255493, 'data_time': 0.00016904808580875397, 'model_time': 1.9070406621322036, 'learning_rate': 1.6000000000000001e-06, ]8;id=957492;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=988712;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 1.94})   +03/18 [08:52:46] INFO  | >> Step 850, Loss: {'action_dit_loss': 1.1383545398712158, 'data_time': 0.003639327362179756, 'model_time': 1.9027907107956707, 'learning_rate': 1.7000000000000002e-06, 'epoch': 2.06}) ]8;id=222955;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=687277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [08:54:24] INFO  | >> Step 900, Loss: {'action_dit_loss': 1.688685655593872, 'mse_score': 0.0049325283616781235, 'data_time': 0.003450657706707716, 'model_time': 1.905665050726384, 'learning_rate': 1.8000000000000001e-06, 'epoch': ]8;id=674079;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=481141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  2.18})   +03/18 [08:55:59] INFO  | >> Step 950, Loss: {'action_dit_loss': 1.6375162601470947, 'data_time': 0.00015665870159864426, 'model_time': 1.9054990746080875, 'learning_rate': 1.9000000000000002e-06, 'epoch': 2.31}) ]8;id=781177;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=588637;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [08:57:37] INFO  | >> Step 1000, Loss: {'action_dit_loss': 1.2466447353363037, 'mse_score': 0.003977091982960701, 'data_time': 0.0001513180322945118, 'model_time': 1.9052970721386373, 'learning_rate': 2.0000000000000003e-06, ]8;id=449245;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=941435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 2.43})   +03/18 [08:59:12] INFO  | >> Step 1050, Loss: {'action_dit_loss': 1.1185282468795776, 'data_time': 0.0035190279595553875, 'model_time': 1.9080479289405048, 'learning_rate': 2.1000000000000002e-06, 'epoch': 2.55}) ]8;id=145051;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=534277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:00:50] INFO  | >> Step 1100, Loss: {'action_dit_loss': 1.4973468780517578, 'mse_score': 0.003741908445954323, 'data_time': 0.0032731937244534492, 'model_time': 1.9025468579493463, 'learning_rate': 2.2e-06, 'epoch': 2.67}) ]8;id=902931;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=114975;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:02:26] INFO  | >> Step 1150, Loss: {'action_dit_loss': 1.7054765224456787, 'data_time': 0.00014665815979242325, 'model_time': 1.9060089718550444, 'learning_rate': 2.3000000000000004e-06, 'epoch': 2.79}) ]8;id=713536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=442666;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:04:03] INFO  | >> Step 1200, Loss: {'action_dit_loss': 1.2025612592697144, 'mse_score': 0.002929929457604885, 'data_time': 0.00015799887478351593, 'model_time': 1.909817717038095, 'learning_rate': 2.4000000000000003e-06, ]8;id=624834;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=490785;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 2.91})   +03/18 [09:05:40] INFO  | >> Step 1250, Loss: {'action_dit_loss': 1.3191468715667725, 'data_time': 0.0025729560293257236, 'model_time': 1.9063901351764798, 'learning_rate': 2.5e-06, 'epoch': 3.03}) ]8;id=988210;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=12038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:07:18] INFO  | >> Step 1300, Loss: {'action_dit_loss': 1.133549690246582, 'mse_score': 0.003704720363020897, 'data_time': 0.0034871790558099747, 'model_time': 1.9106191080063581, 'learning_rate': 2.6e-06, 'epoch': 3.16}) ]8;id=927767;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=563054;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:08:53] INFO  | >> Step 1350, Loss: {'action_dit_loss': 1.033849835395813, 'data_time': 0.00014546886086463928, 'model_time': 1.9023549719713628, 'learning_rate': 2.7000000000000004e-06, 'epoch': 3.28}) ]8;id=356699;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=116970;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:10:31] INFO  | >> Step 1400, Loss: {'action_dit_loss': 1.5026435852050781, 'mse_score': 0.004958763346076011, 'data_time': 0.0019566528499126434, 'model_time': 1.9014656087383628, 'learning_rate': 2.8000000000000003e-06, ]8;id=3402;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=757168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 3.4})   +03/18 [09:12:06] INFO  | >> Step 1450, Loss: {'action_dit_loss': 1.45536208152771, 'data_time': 0.003431982360780239, 'model_time': 1.9052906059660017, 'learning_rate': 2.9e-06, 'epoch': 3.52}) ]8;id=798975;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=187330;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:13:44] INFO  | >> Step 1500, Loss: {'action_dit_loss': 1.3386671543121338, 'mse_score': 0.004844387248158455, 'data_time': 0.0018761539831757545, 'model_time': 1.904873315244913, 'learning_rate': 3e-06, 'epoch': 3.64}) ]8;id=655674;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=312942;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:15:20] INFO  | >> Step 1550, Loss: {'action_dit_loss': 1.4339807033538818, 'data_time': 0.0019103549420833588, 'model_time': 1.9024654431268573, 'learning_rate': 3.1000000000000004e-06, 'epoch': 3.76}) ]8;id=208573;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=160263;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:16:57] INFO  | >> Step 1600, Loss: {'action_dit_loss': 1.1671593189239502, 'mse_score': 0.0071552470326423645, 'data_time': 0.00014290912076830864, 'model_time': 1.9059994807466865, 'learning_rate': 3.2000000000000003e-06, ]8;id=999816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=816449;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 3.88})   +03/18 [09:18:34] INFO  | >> Step 1650, Loss: {'action_dit_loss': 0.9899954795837402, 'data_time': 0.00015311921015381813, 'model_time': 1.9069478092715144, 'learning_rate': 3.3000000000000006e-06, 'epoch': 4.0}) ]8;id=628038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=339902;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:20:11] INFO  | >> Step 1700, Loss: {'action_dit_loss': 1.12803316116333, 'mse_score': 0.0033847510814666746, 'data_time': 0.004667324014008045, 'model_time': 1.903799942228943, 'learning_rate': 3.4000000000000005e-06, 'epoch': ]8;id=380612;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=921406;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.13})   +03/18 [09:21:47] INFO  | >> Step 1750, Loss: {'action_dit_loss': 1.17693293094635, 'data_time': 0.00015608873218297958, 'model_time': 1.9037347072735429, 'learning_rate': 3.5e-06, 'epoch': 4.25}) ]8;id=60738;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=252572;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:23:25] INFO  | >> Step 1800, Loss: {'action_dit_loss': 1.2293028831481934, 'mse_score': 0.002148149162530899, 'data_time': 0.00016358913853764534, 'model_time': 1.9092787066474557, 'learning_rate': 3.6000000000000003e-06, ]8;id=89814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=767460;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 4.37})   +03/18 [09:25:00] INFO  | >> Step 1850, Loss: {'action_dit_loss': 0.9187533855438232, 'data_time': 0.004534746054559946, 'model_time': 1.9074228666722775, 'learning_rate': 3.7e-06, 'epoch': 4.49}) ]8;id=558582;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=803035;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:26:38] INFO  | >> Step 1900, Loss: {'action_dit_loss': 1.4841417074203491, 'mse_score': 0.0050991978496313095, 'data_time': 0.0019974051974713802, 'model_time': 1.905343322083354, 'learning_rate': 3.8000000000000005e-06, ]8;id=992842;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=576510;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 4.61})   +03/18 [09:28:14] INFO  | >> Step 1950, Loss: {'action_dit_loss': 1.3957405090332031, 'data_time': 0.00015177903696894646, 'model_time': 1.9078176128678024, 'learning_rate': 3.900000000000001e-06, 'epoch': 4.73}) ]8;id=636059;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=443692;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:29:51] INFO  | >> Step 2000, Loss: {'action_dit_loss': 0.953407347202301, 'mse_score': 0.001895882375538349, 'data_time': 0.0001573893241584301, 'model_time': 1.9022664721123874, 'learning_rate': 4.000000000000001e-06, 'epoch': ]8;id=765388;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=723378;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  4.85})   +03/18 [09:31:28] INFO  | >> Step 2050, Loss: {'action_dit_loss': 1.3505672216415405, 'data_time': 0.00016091810539364815, 'model_time': 1.9074764549732208, 'learning_rate': 4.1e-06, 'epoch': 4.98}) ]8;id=704314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=681446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:33:06] INFO  | >> Step 2100, Loss: {'action_dit_loss': 1.1585456132888794, 'mse_score': 0.0035670299082994463, 'data_time': 0.0020725810900330544, 'model_time': 1.9048653058707714, 'learning_rate': 4.2000000000000004e-06, ]8;id=473417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=126882;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 5.1})   +03/18 [09:34:41] INFO  | >> Step 2150, Loss: {'action_dit_loss': 1.193643569946289, 'data_time': 0.00016340520232915878, 'model_time': 1.906108737923205, 'learning_rate': 4.3e-06, 'epoch': 5.22}) ]8;id=22056;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=616886;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:36:19] INFO  | >> Step 2200, Loss: {'action_dit_loss': 1.3756321668624878, 'mse_score': 0.003128054738044739, 'data_time': 0.004758805967867374, 'model_time': 1.9050389402545989, 'learning_rate': 4.4e-06, 'epoch': 5.34}) ]8;id=7540;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=74441;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:37:55] INFO  | >> Step 2250, Loss: {'action_dit_loss': 1.3740406036376953, 'data_time': 0.0021283873356878757, 'model_time': 1.902944602072239, 'learning_rate': 4.5e-06, 'epoch': 5.46}) ]8;id=70674;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=949401;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:39:32] INFO  | >> Step 2300, Loss: {'action_dit_loss': 1.0235316753387451, 'mse_score': 0.0021120375022292137, 'data_time': 0.00015801191329956055, 'model_time': 1.9047246100381017, 'learning_rate': 4.600000000000001e-06, ]8;id=539131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=249565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 5.58})   +03/18 [09:41:08] INFO  | >> Step 2350, Loss: {'action_dit_loss': 1.2758240699768066, 'data_time': 0.004591058008372784, 'model_time': 1.905981678981334, 'learning_rate': 4.7e-06, 'epoch': 5.7}) ]8;id=565427;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=138739;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:42:46] INFO  | >> Step 2400, Loss: {'action_dit_loss': 1.105346441268921, 'mse_score': 0.00268930047750473, 'data_time': 0.00015473226085305214, 'model_time': 1.9050123109482229, 'learning_rate': 4.800000000000001e-06, 'epoch': ]8;id=604201;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=495631;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  5.83})   +03/18 [09:44:22] INFO  | >> Step 2450, Loss: {'action_dit_loss': 1.0305876731872559, 'data_time': 0.0001516011543571949, 'model_time': 1.9091899590566754, 'learning_rate': 4.9000000000000005e-06, 'epoch': 5.95}) ]8;id=426833;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=199659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:46:00] INFO  | >> Step 2500, Loss: {'action_dit_loss': 0.9819730520248413, 'mse_score': 0.003298508748412132, 'data_time': 0.0021947380155324936, 'model_time': 1.9091196078807116, 'learning_rate': 5e-06, 'epoch': 6.07}) ]8;id=371507;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=444154;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:47:35] INFO  | >> Step 2550, Loss: {'action_dit_loss': 1.4668371677398682, 'data_time': 0.0019009923562407494, 'model_time': 1.9038362558931112, 'learning_rate': 5.1e-06, 'epoch': 6.19}) ]8;id=56802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=706073;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:49:13] INFO  | >> Step 2600, Loss: {'action_dit_loss': 1.452791452407837, 'mse_score': 0.0036180466413497925, 'data_time': 0.003050766885280609, 'model_time': 1.9020109437406063, 'learning_rate': 5.2e-06, 'epoch': 6.31}) ]8;id=422179;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=763587;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:50:49] INFO  | >> Step 2650, Loss: {'action_dit_loss': 0.7524279356002808, 'data_time': 0.0019819578155875206, 'model_time': 1.9105884488672018, 'learning_rate': 5.300000000000001e-06, 'epoch': 6.43}) ]8;id=260735;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=200896;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:52:26] INFO  | >> Step 2700, Loss: {'action_dit_loss': 1.077518105506897, 'mse_score': 0.0012383912689983845, 'data_time': 0.00015560118481516838, 'model_time': 1.9087162148207426, 'learning_rate': 5.400000000000001e-06, ]8;id=442374;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=192401;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 6.55})   +03/18 [09:54:02] INFO  | >> Step 2750, Loss: {'action_dit_loss': 1.4409488439559937, 'data_time': 0.0033476189710199833, 'model_time': 1.9027491938322783, 'learning_rate': 5.500000000000001e-06, 'epoch': 6.67}) ]8;id=968114;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=79046;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:55:40] INFO  | >> Step 2800, Loss: {'action_dit_loss': 1.2932920455932617, 'mse_score': 0.0014681483618915081, 'data_time': 0.0019181850366294384, 'model_time': 1.90201280079782, 'learning_rate': 5.600000000000001e-06, 'epoch': ]8;id=577057;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=102664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  6.8})   +03/18 [09:57:15] INFO  | >> Step 2850, Loss: {'action_dit_loss': 0.9643803834915161, 'data_time': 0.0001361309550702572, 'model_time': 1.9073354676365852, 'learning_rate': 5.7e-06, 'epoch': 6.92}) ]8;id=15474;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=97793;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [09:58:54] INFO  | >> Step 2900, Loss: {'action_dit_loss': 0.7848092913627625, 'mse_score': 0.003471630439162254, 'data_time': 0.003516764845699072, 'model_time': 1.907656750176102, 'learning_rate': 5.8e-06, 'epoch': 7.04}) ]8;id=174389;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=426156;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:00:29] INFO  | >> Step 2950, Loss: {'action_dit_loss': 0.8571975827217102, 'data_time': 0.00014754990115761757, 'model_time': 1.9047042443417013, 'learning_rate': 5.9e-06, 'epoch': 7.16}) ]8;id=420521;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=946279;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:02:07] INFO  | >> Step 3000, Loss: {'action_dit_loss': 1.1728229522705078, 'mse_score': 0.002468136325478554, 'data_time': 0.0033832229673862457, 'model_time': 1.9022661400958896, 'learning_rate': 6e-06, 'epoch': 7.28}) ]8;id=409386;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=278085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:03:42] INFO  | >> Step 3050, Loss: {'action_dit_loss': 0.9293021559715271, 'data_time': 0.0036227619275450706, 'model_time': 1.9038297380320728, 'learning_rate': 6.1e-06, 'epoch': 7.4}) ]8;id=299105;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=443555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:05:20] INFO  | >> Step 3100, Loss: {'action_dit_loss': 0.8430739641189575, 'mse_score': 0.003016389161348343, 'data_time': 0.00014836527407169342, 'model_time': 1.9101168671622872, 'learning_rate': 6.200000000000001e-06, ]8;id=694022;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=753305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 7.52})   +03/18 [10:06:55] INFO  | >> Step 3150, Loss: {'action_dit_loss': 1.3888980150222778, 'data_time': 0.0032802890054881573, 'model_time': 1.901366882957518, 'learning_rate': 6.300000000000001e-06, 'epoch': 7.65}) ]8;id=228275;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=61324;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:08:33] INFO  | >> Step 3200, Loss: {'action_dit_loss': 0.9090806245803833, 'mse_score': 0.0014226780273020267, 'data_time': 0.00014733616262674332, 'model_time': 1.9070837260223925, 'learning_rate': 6.4000000000000006e-06, ]8;id=784309;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=328838;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 7.77})   +03/18 [10:10:09] INFO  | >> Step 3250, Loss: {'action_dit_loss': 1.0005019903182983, 'data_time': 0.0001470167189836502, 'model_time': 1.9053595797158778, 'learning_rate': 6.5000000000000004e-06, 'epoch': 7.89}) ]8;id=527276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=964047;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:11:47] INFO  | >> Step 3300, Loss: {'action_dit_loss': 0.5086119771003723, 'mse_score': 0.003004223294556141, 'data_time': 0.0033636637963354588, 'model_time': 1.9058847790583968, 'learning_rate': 6.600000000000001e-06, ]8;id=532496;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=84002;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 8.01})   +03/18 [10:13:23] INFO  | >> Step 3350, Loss: {'action_dit_loss': 0.8964522480964661, 'data_time': 0.0001629367470741272, 'model_time': 1.9087949241511524, 'learning_rate': 6.700000000000001e-06, 'epoch': 8.13}) ]8;id=71262;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=708011;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:15:00] INFO  | >> Step 3400, Loss: {'action_dit_loss': 1.3174645900726318, 'mse_score': 0.0038931015878915787, 'data_time': 0.0032193916849792004, 'model_time': 1.906585942953825, 'learning_rate': 6.800000000000001e-06, ]8;id=987335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=933533;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 8.25})   +03/18 [10:16:37] INFO  | >> Step 3450, Loss: {'action_dit_loss': 1.1482576131820679, 'data_time': 0.003267026972025633, 'model_time': 1.908609002828598, 'learning_rate': 6.9e-06, 'epoch': 8.37}) ]8;id=41672;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=649468;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:18:14] INFO  | >> Step 3500, Loss: {'action_dit_loss': 0.9025250673294067, 'mse_score': 0.0018786940723657607, 'data_time': 0.0001561678946018219, 'model_time': 1.9042155016213655, 'learning_rate': 7e-06, 'epoch': 8.5}) ]8;id=592683;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=548177;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:19:50] INFO  | >> Step 3550, Loss: {'action_dit_loss': 1.0560332536697388, 'data_time': 0.003056418150663376, 'model_time': 1.9017559071071446, 'learning_rate': 7.100000000000001e-06, 'epoch': 8.62}) ]8;id=702258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=750981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:21:27] INFO  | >> Step 3600, Loss: {'action_dit_loss': 1.0056662559509277, 'mse_score': 0.00133762639015913, 'data_time': 0.00015345821157097816, 'model_time': 1.903979643713683, 'learning_rate': 7.2000000000000005e-06, ]8;id=137235;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=704318;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 8.74})   +03/18 [10:23:03] INFO  | >> Step 3650, Loss: {'action_dit_loss': 1.4469993114471436, 'data_time': 0.00014488771557807922, 'model_time': 1.9061277620494366, 'learning_rate': 7.3e-06, 'epoch': 8.86}) ]8;id=974146;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=788387;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:24:41] INFO  | >> Step 3700, Loss: {'action_dit_loss': 1.0123587846755981, 'mse_score': 0.0026346491649746895, 'data_time': 0.003155064769089222, 'model_time': 1.907152979169041, 'learning_rate': 7.4e-06, 'epoch': 8.98}) ]8;id=651332;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=590341;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:26:17] INFO  | >> Step 3750, Loss: {'action_dit_loss': 1.1148362159729004, 'data_time': 0.00015568919479846954, 'model_time': 1.9054074031300843, 'learning_rate': 7.500000000000001e-06, 'epoch': 9.1}) ]8;id=530458;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=278082;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:27:54] INFO  | >> Step 3800, Loss: {'action_dit_loss': 0.8546953201293945, 'mse_score': 0.001253317017108202, 'data_time': 0.0022079339250922203, 'model_time': 1.90402402728796, 'learning_rate': 7.600000000000001e-06, 'epoch': ]8;id=72132;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=921981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  9.22})   +03/18 [10:29:30] INFO  | >> Step 3850, Loss: {'action_dit_loss': 0.9028912782669067, 'data_time': 0.0034048771485686302, 'model_time': 1.904442213010043, 'learning_rate': 7.7e-06, 'epoch': 9.34}) ]8;id=459469;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=874244;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:31:07] INFO  | >> Step 3900, Loss: {'action_dit_loss': 0.9112906455993652, 'mse_score': 0.001694716326892376, 'data_time': 0.0019637467339634895, 'model_time': 1.9043471259064972, 'learning_rate': 7.800000000000002e-06, ]8;id=846305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=685743;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 9.47})   +03/18 [10:32:43] INFO  | >> Step 3950, Loss: {'action_dit_loss': 1.0526140928268433, 'data_time': 0.0019336477853357792, 'model_time': 1.9020019411109388, 'learning_rate': 7.9e-06, 'epoch': 9.59}) ]8;id=581542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=313921;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:34:21] INFO  | >> Step 4000, Loss: {'action_dit_loss': 1.0005855560302734, 'mse_score': 0.001477811299264431, 'data_time': 0.0001575690694153309, 'model_time': 1.9045619629323483, 'learning_rate': 8.000000000000001e-06, ]8;id=920782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=140814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 9.71})   +03/18 [10:35:56] INFO  | >> Step 4050, Loss: {'action_dit_loss': 1.072991967201233, 'data_time': 0.0022983066737651825, 'model_time': 1.9033832643181086, 'learning_rate': 8.1e-06, 'epoch': 9.83}) ]8;id=778480;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=580097;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:37:35] INFO  | >> Step 4100, Loss: {'action_dit_loss': 0.7895451188087463, 'mse_score': 0.0017634654417634011, 'data_time': 0.005948806647211313, 'model_time': 1.9048246159218252, 'learning_rate': 8.2e-06, 'epoch': 9.95}) ]8;id=220861;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=752470;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:39:11] INFO  | >> Step 4150, Loss: {'action_dit_loss': 0.8388811945915222, 'data_time': 0.0001504220999777317, 'model_time': 1.9048164272680879, 'learning_rate': 8.3e-06, 'epoch': 10.07}) ]8;id=894343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=276807;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:40:48] INFO  | >> Step 4200, Loss: {'action_dit_loss': 0.9744786024093628, 'mse_score': 0.002560755982995033, 'data_time': 0.0001384718343615532, 'model_time': 1.910617577843368, 'learning_rate': 8.400000000000001e-06, 'epoch': ]8;id=952273;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=887204;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  10.19})   +03/18 [10:42:24] INFO  | >> Step 4250, Loss: {'action_dit_loss': 0.8118762969970703, 'data_time': 0.00593656487762928, 'model_time': 1.901441969908774, 'learning_rate': 8.5e-06, 'epoch': 10.32}) ]8;id=869634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=290120;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:44:02] INFO  | >> Step 4300, Loss: {'action_dit_loss': 1.027423620223999, 'mse_score': 0.0014980361796915532, 'data_time': 0.00014712102711200714, 'model_time': 1.9041844550520182, 'learning_rate': 8.6e-06, 'epoch': 10.44}) ]8;id=137174;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=668061;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:45:38] INFO  | >> Step 4350, Loss: {'action_dit_loss': 1.255793571472168, 'data_time': 0.00014173099771142006, 'model_time': 1.909511763136834, 'learning_rate': 8.700000000000001e-06, 'epoch': 10.56}) ]8;id=578478;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=739945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:47:15] INFO  | >> Step 4400, Loss: {'action_dit_loss': 0.7548267841339111, 'mse_score': 0.0013326827436685562, 'data_time': 0.00014955084770917892, 'model_time': 1.9042905778624117, 'learning_rate': 8.8e-06, 'epoch': 10.68}) ]8;id=78898;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=990957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:48:51] INFO  | >> Step 4450, Loss: {'action_dit_loss': 0.979747474193573, 'data_time': 0.00015490083023905754, 'model_time': 1.9049955387599766, 'learning_rate': 8.900000000000001e-06, 'epoch': 10.8}) ]8;id=572092;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=37778;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:50:29] INFO  | >> Step 4500, Loss: {'action_dit_loss': 0.8140487670898438, 'mse_score': 0.002144806459546089, 'data_time': 0.006005011964589357, 'model_time': 1.9039870048873127, 'learning_rate': 9e-06, 'epoch': 10.92}) ]8;id=155287;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=450664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:52:05] INFO  | >> Step 4550, Loss: {'action_dit_loss': 1.213643193244934, 'data_time': 0.000148640014231205, 'model_time': 1.90648460900411, 'learning_rate': 9.100000000000001e-06, 'epoch': 11.04}) ]8;id=942650;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=978413;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:53:43] INFO  | >> Step 4600, Loss: {'action_dit_loss': 1.1279640197753906, 'mse_score': 0.002905065193772316, 'data_time': 0.00015057995915412903, 'model_time': 1.904782474040985, 'learning_rate': 9.200000000000002e-06, ]8;id=375190;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=220281;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 11.17})   +03/18 [10:55:19] INFO  | >> Step 4650, Loss: {'action_dit_loss': 0.8216181397438049, 'data_time': 0.005893109831959009, 'model_time': 1.9036407158710063, 'learning_rate': 9.3e-06, 'epoch': 11.29}) ]8;id=370858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=818011;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:56:56] INFO  | >> Step 4700, Loss: {'action_dit_loss': 0.6091956496238708, 'mse_score': 0.00145515538752079, 'data_time': 0.0001400602050125599, 'model_time': 1.9060242339037359, 'learning_rate': 9.4e-06, 'epoch': 11.41}) ]8;id=650810;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=785884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [10:58:31] INFO  | >> Step 4750, Loss: {'action_dit_loss': 0.591134250164032, 'data_time': 0.00014615990221500397, 'model_time': 1.905682132113725, 'learning_rate': 9.5e-06, 'epoch': 11.53}) ]8;id=906604;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=170395;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:00:09] INFO  | >> Step 4800, Loss: {'action_dit_loss': 0.7218292355537415, 'mse_score': 0.0015480421483516694, 'data_time': 0.00017023878172039986, 'model_time': 1.9074796740897, 'learning_rate': 9.600000000000001e-06, 'epoch': ]8;id=432322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=25990;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  11.65})   +03/18 [11:01:45] INFO  | >> Step 4850, Loss: {'action_dit_loss': 0.7297663688659668, 'data_time': 0.0001599099487066269, 'model_time': 1.905702952761203, 'learning_rate': 9.7e-06, 'epoch': 11.77}) ]8;id=820391;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=976031;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:03:24] INFO  | >> Step 4900, Loss: {'action_dit_loss': 0.7478232979774475, 'mse_score': 0.002119271084666252, 'data_time': 0.005997471045702696, 'model_time': 1.9056660351343453, 'learning_rate': 9.800000000000001e-06, 'epoch': ]8;id=770763;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=850132;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  11.89})   +03/18 [11:04:59] INFO  | >> Step 4950, Loss: {'action_dit_loss': 0.7843487858772278, 'data_time': 0.00015955045819282532, 'model_time': 1.9052977417595685, 'learning_rate': 9.9e-06, 'epoch': 12.01}) ]8;id=735343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=113346;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:06:37] INFO  | >> Step 5000, Loss: {'action_dit_loss': 0.9006898403167725, 'mse_score': 0.0015800854191184044, 'data_time': 0.00014625024050474167, 'model_time': 1.9095044531859457, 'learning_rate': 1e-05, 'epoch': 12.14}) ]8;id=493554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=233238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_5000 +03/18 [11:06:46] INFO  | >> 📊 Saving accessed configuration... ]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#240\240]8;;\ +  INFO  | >> ✅ Configuration files saved ]8;id=692094;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=202511;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\ +03/18 [11:08:21] INFO  | >> Step 5050, Loss: {'action_dit_loss': 0.6923731565475464, 'data_time': 0.006625627167522907, 'model_time': 1.903978276066482, 'learning_rate': 9.999739554486184e-06, 'epoch': 12.26}) ]8;id=72792;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=810891;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:09:59] INFO  | >> Step 5100, Loss: {'action_dit_loss': 1.0999884605407715, 'mse_score': 0.0007737017702311277, 'data_time': 0.0001516500487923622, 'model_time': 1.9065558691509068, 'learning_rate': 9.998958246505518e-06, ]8;id=419093;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=712526;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 12.38})   +03/18 [11:11:35] INFO  | >> Step 5150, Loss: {'action_dit_loss': 1.1261793375015259, 'data_time': 0.00014789961278438568, 'model_time': 1.906127154827118, 'learning_rate': 9.997656161737227e-06, 'epoch': 12.5}) ]8;id=28941;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=120944;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:13:12] INFO  | >> Step 5200, Loss: {'action_dit_loss': 0.6337900757789612, 'mse_score': 0.000775556406006217, 'data_time': 0.00015930598601698875, 'model_time': 1.9116876870393753, 'learning_rate': 9.995833442969578e-06, ]8;id=278361;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=40115;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 12.62})   +03/18 [11:14:48] INFO  | >> Step 5250, Loss: {'action_dit_loss': 0.7292205095291138, 'data_time': 0.00015162816271185875, 'model_time': 1.904472635127604, 'learning_rate': 9.993490290084225e-06, 'epoch': 12.74}) ]8;id=763934;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=824629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:16:26] INFO  | >> Step 5300, Loss: {'action_dit_loss': 0.5810959935188293, 'mse_score': 0.002672513388097286, 'data_time': 0.0056429412215948105, 'model_time': 1.902150731999427, 'learning_rate': 9.990626960034291e-06, 'epoch': ]8;id=121263;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=403906;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  12.86})   +03/18 [11:18:02] INFO  | >> Step 5350, Loss: {'action_dit_loss': 0.7987803816795349, 'data_time': 0.00015655113384127617, 'model_time': 1.90423076832667, 'learning_rate': 9.987243766816175e-06, 'epoch': 12.99}) ]8;id=46542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=743215;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:19:40] INFO  | >> Step 5400, Loss: {'action_dit_loss': 1.2321070432662964, 'mse_score': 0.0031600374728441238, 'data_time': 0.00467495433986187, 'model_time': 1.902218169067055, 'learning_rate': 9.983341081435145e-06, 'epoch': ]8;id=845687;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=564607;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  13.11})   +03/18 [11:21:16] INFO  | >> Step 5450, Loss: {'action_dit_loss': 0.7855958938598633, 'data_time': 0.004346658010035753, 'model_time': 1.9082204811275005, 'learning_rate': 9.978919331864631e-06, 'epoch': 13.23}) ]8;id=772840;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=703204;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:22:53] INFO  | >> Step 5500, Loss: {'action_dit_loss': 0.9486775398254395, 'mse_score': 0.001331720780581236, 'data_time': 0.000160963274538517, 'model_time': 1.9092975109815598, 'learning_rate': 9.973979002999299e-06, 'epoch': ]8;id=994967;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=696503;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  13.35})   +03/18 [11:24:29] INFO  | >> Step 5550, Loss: {'action_dit_loss': 1.0574171543121338, 'data_time': 0.001902319025248289, 'model_time': 1.902648186776787, 'learning_rate': 9.968520636601883e-06, 'epoch': 13.47}) ]8;id=695612;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=889208;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:26:06] INFO  | >> Step 5600, Loss: {'action_dit_loss': 0.7652071714401245, 'mse_score': 0.0007353084627538919, 'data_time': 0.00016257492825388908, 'model_time': 1.904952012002468, 'learning_rate': 9.96254483124377e-06, ]8;id=531756;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=324308;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 13.59})   +03/18 [11:27:42] INFO  | >> Step 5650, Loss: {'action_dit_loss': 0.8499575853347778, 'data_time': 0.00015237601473927498, 'model_time': 1.9057132969610393, 'learning_rate': 9.956052242239358e-06, 'epoch': 13.71}) ]8;id=731076;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=310016;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:29:20] INFO  | >> Step 5700, Loss: {'action_dit_loss': 0.5661336183547974, 'mse_score': 0.00288524329662323, 'data_time': 0.004870949778705835, 'model_time': 1.9084378271363676, 'learning_rate': 9.949043581574196e-06, 'epoch': ]8;id=697229;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=986042;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  13.83})   +03/18 [11:30:57] INFO  | >> Step 5750, Loss: {'action_dit_loss': 0.6616885662078857, 'data_time': 0.00015404587611556053, 'model_time': 1.9044430670328438, 'learning_rate': 9.941519617826906e-06, 'epoch': 13.96}) ]8;id=182480;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=645414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:32:34] INFO  | >> Step 5800, Loss: {'action_dit_loss': 1.0229309797286987, 'mse_score': 0.0022574784234166145, 'data_time': 0.0035270019434392452, 'model_time': 1.9029637267813087, 'learning_rate': 9.933481176084899e-06, ]8;id=874224;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=425;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 14.08})   +03/18 [11:34:10] INFO  | >> Step 5850, Loss: {'action_dit_loss': 0.577123761177063, 'data_time': 0.0032283226028084755, 'model_time': 1.9048523427918553, 'learning_rate': 9.924929137853899e-06, 'epoch': 14.2}) ]8;id=823927;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=608158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:35:48] INFO  | >> Step 5900, Loss: {'action_dit_loss': 0.6741058826446533, 'mse_score': 0.0021920425817370413, 'data_time': 0.00014663580805063248, 'model_time': 1.909763810224831, 'learning_rate': 9.915864440961272e-06, ]8;id=463246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=463638;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 14.32})   +03/18 [11:37:24] INFO  | >> Step 5950, Loss: {'action_dit_loss': 0.8626922369003296, 'data_time': 0.0034560146741569042, 'model_time': 1.9072948200628161, 'learning_rate': 9.90628807945318e-06, 'epoch': 14.44}) ]8;id=832291;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=944956;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:39:01] INFO  | >> Step 6000, Loss: {'action_dit_loss': 0.6908473968505859, 'mse_score': 0.0006695327814668417, 'data_time': 0.00016114581376314163, 'model_time': 1.9115732060745358, 'learning_rate': 9.896201103485577e-06, ]8;id=88914;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=297571;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 14.56})   +03/18 [11:40:37] INFO  | >> Step 6050, Loss: {'action_dit_loss': 0.7391493916511536, 'data_time': 0.00016271602362394333, 'model_time': 1.9017977030016482, 'learning_rate': 9.885604619209052e-06, 'epoch': 14.68}) ]8;id=351470;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=97923;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:42:14] INFO  | >> Step 6100, Loss: {'action_dit_loss': 0.594150185585022, 'mse_score': 0.004594548419117927, 'data_time': 0.0036224890500307083, 'model_time': 1.9027592968195677, 'learning_rate': 9.874499788647512e-06, 'epoch': ]8;id=705477;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=325498;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  14.81})   +03/18 [11:43:51] INFO  | >> Step 6150, Loss: {'action_dit_loss': 0.5460834503173828, 'data_time': 0.00016076629981398582, 'model_time': 1.9087217561900616, 'learning_rate': 9.862887829570771e-06, 'epoch': 14.93}) ]8;id=25611;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=48458;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:45:28] INFO  | >> Step 6200, Loss: {'action_dit_loss': 0.5017420053482056, 'mse_score': 0.0012354386039078236, 'data_time': 0.004541364032775164, 'model_time': 1.902797797229141, 'learning_rate': 9.850770015360999e-06, 'epoch': ]8;id=805819;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=76365;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  15.05})   +03/18 [11:47:05] INFO  | >> Step 6250, Loss: {'action_dit_loss': 0.46728387475013733, 'data_time': 0.002155727706849575, 'model_time': 1.9044082071632147, 'learning_rate': 9.838147674873076e-06, 'epoch': 15.17}) ]8;id=603634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=203880;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:48:42] INFO  | >> Step 6300, Loss: {'action_dit_loss': 0.7832679748535156, 'mse_score': 0.001062579732388258, 'data_time': 0.0001462274231016636, 'model_time': 1.904688948765397, 'learning_rate': 9.825022192288878e-06, 'epoch': ]8;id=419066;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=255836;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  15.29})   +03/18 [11:50:18] INFO  | >> Step 6350, Loss: {'action_dit_loss': 0.8218818306922913, 'data_time': 0.0021227607503533363, 'model_time': 1.9101297231391072, 'learning_rate': 9.811395006965481e-06, 'epoch': 15.41}) ]8;id=936021;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=787443;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:51:55] INFO  | >> Step 6400, Loss: {'action_dit_loss': 0.5893906354904175, 'mse_score': 0.0012283247895538806, 'data_time': 0.0001570642925798893, 'model_time': 1.9047581288032234, 'learning_rate': 9.797267613277319e-06, ]8;id=816232;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=445798;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 15.53})   +03/18 [11:53:31] INFO  | >> Step 6450, Loss: {'action_dit_loss': 0.9141867160797119, 'data_time': 0.0001565529964864254, 'model_time': 1.9070600420236588, 'learning_rate': 9.782641560452317e-06, 'epoch': 15.66}) ]8;id=543118;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=487115;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:55:09] INFO  | >> Step 6500, Loss: {'action_dit_loss': 0.41249802708625793, 'mse_score': 0.0028955722227692604, 'data_time': 0.004599591717123985, 'model_time': 1.9161825850605965, 'learning_rate': 9.767518452401981e-06, ]8;id=889545;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=127253;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 15.78})   +03/18 [11:56:46] INFO  | >> Step 6550, Loss: {'action_dit_loss': 0.6269276142120361, 'data_time': 0.00014573195949196815, 'model_time': 1.9047906543128192, 'learning_rate': 9.751899947545534e-06, 'epoch': 15.9}) ]8;id=700005;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=556932;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [11:58:23] INFO  | >> Step 6600, Loss: {'action_dit_loss': 0.8400242328643799, 'mse_score': 0.001180136576294899, 'data_time': 0.002021139021962881, 'model_time': 1.9078753143548965, 'learning_rate': 9.735787758628036e-06, 'epoch': ]8;id=791937;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=934727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  16.02})   +03/18 [11:59:59] INFO  | >> Step 6650, Loss: {'action_dit_loss': 0.4435666799545288, 'data_time': 0.0032493011094629765, 'model_time': 1.9052958711981773, 'learning_rate': 9.719183652532572e-06, 'epoch': 16.14}) ]8;id=935351;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=529298;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:01:37] INFO  | >> Step 6700, Loss: {'action_dit_loss': 0.45148444175720215, 'mse_score': 0.0005168823059648276, 'data_time': 0.0021915179677307606, 'model_time': 1.9063002653419971, 'learning_rate': 9.702089450086486e-06, ]8;id=467574;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=940790;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 16.26})   +03/18 [12:03:12] INFO  | >> Step 6750, Loss: {'action_dit_loss': 0.7357252836227417, 'data_time': 0.0019229329191148281, 'model_time': 1.9039227520115674, 'learning_rate': 9.68450702586171e-06, 'epoch': 16.38}) ]8;id=471932;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=271782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:04:50] INFO  | >> Step 6800, Loss: {'action_dit_loss': 0.5744004845619202, 'mse_score': 0.0025455167517066, 'data_time': 0.00014567002654075623, 'model_time': 1.908079612068832, 'learning_rate': 9.666438307969194e-06, 'epoch': ]8;id=290782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=803013;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  16.5})   +03/18 [12:06:26] INFO  | >> Step 6850, Loss: {'action_dit_loss': 0.7369720339775085, 'data_time': 0.002213777042925358, 'model_time': 1.904916918836534, 'learning_rate': 9.647885277847476e-06, 'epoch': 16.63}) ]8;id=250867;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=287936;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:08:03] INFO  | >> Step 6900, Loss: {'action_dit_loss': 0.5301405191421509, 'mse_score': 0.002155928313732147, 'data_time': 0.0035403198562562466, 'model_time': 1.9062318890355527, 'learning_rate': 9.628849970045378e-06, ]8;id=245884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=284913;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 16.75})   +03/18 [12:09:40] INFO  | >> Step 6950, Loss: {'action_dit_loss': 0.4353397488594055, 'data_time': 0.00014830892905592918, 'model_time': 1.9055141396820545, 'learning_rate': 9.609334471998911e-06, 'epoch': 16.87}) ]8;id=84491;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=145095;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:11:17] INFO  | >> Step 7000, Loss: {'action_dit_loss': 0.7025526762008667, 'mse_score': 0.002306077070534229, 'data_time': 0.0029463358223438263, 'model_time': 1.9022478577680886, 'learning_rate': 9.589340923802355e-06, ]8;id=160227;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=740734;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 16.99})   +03/18 [12:12:53] INFO  | >> Step 7050, Loss: {'action_dit_loss': 0.689193069934845, 'data_time': 0.001460712868720293, 'model_time': 2.0206519458442926, 'learning_rate': 9.568871517973576e-06, 'epoch': 17.11}) ]8;id=346954;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=568969;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:14:30] INFO  | >> Step 7100, Loss: {'action_dit_loss': 0.5408714413642883, 'mse_score': 0.0018264269456267357, 'data_time': 0.00014616874977946281, 'model_time': 1.9126717615872622, 'learning_rate': 9.547928499213593e-06, ]8;id=873349;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=440552;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 17.23})   +03/18 [12:16:06] INFO  | >> Step 7150, Loss: {'action_dit_loss': 0.7316168546676636, 'data_time': 0.00015938887372612953, 'model_time': 1.9047874249517918, 'learning_rate': 9.52651416416042e-06, 'epoch': 17.35}) ]8;id=992017;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=729308;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:17:43] INFO  | >> Step 7200, Loss: {'action_dit_loss': 0.32897406816482544, 'mse_score': 0.0017922891303896904, 'data_time': 0.0028928001411259174, 'model_time': 1.9047283842228353, 'learning_rate': 9.504630861137212e-06, ]8;id=603655;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=398858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 17.48})   +03/18 [12:19:19] INFO  | >> Step 7250, Loss: {'action_dit_loss': 0.6324347257614136, 'data_time': 0.0015262686647474766, 'model_time': 1.902845837175846, 'learning_rate': 9.482280989894748e-06, 'epoch': 17.6}) ]8;id=313118;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=790075;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:20:56] INFO  | >> Step 7300, Loss: {'action_dit_loss': 0.4377184510231018, 'mse_score': 0.0014979016967117786, 'data_time': 0.000153448898345232, 'model_time': 1.9073650734499097, 'learning_rate': 9.459467001348271e-06, ]8;id=876325;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=439375;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 17.72})   +03/18 [12:22:34] INFO  | >> Step 7350, Loss: {'action_dit_loss': 0.5818488001823425, 'data_time': 0.00020084204152226448, 'model_time': 1.9125553839839995, 'learning_rate': 9.436191397308713e-06, 'epoch': 17.84}) ]8;id=838722;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=632556;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:24:11] INFO  | >> Step 7400, Loss: {'action_dit_loss': 0.5417665243148804, 'mse_score': 0.0005994110833853483, 'data_time': 0.00017179129645228386, 'model_time': 1.917719709686935, 'learning_rate': 9.412456730208352e-06, ]8;id=286193;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=457007;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 17.96})   +03/18 [12:25:47] INFO  | >> Step 7450, Loss: {'action_dit_loss': 0.31415000557899475, 'data_time': 0.002320478670299053, 'model_time': 1.9048101850785315, 'learning_rate': 9.388265602820901e-06, 'epoch': 18.08}) ]8;id=701364;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=712131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:27:24] INFO  | >> Step 7500, Loss: {'action_dit_loss': 0.4849913418292999, 'mse_score': 0.0006254653446376324, 'data_time': 0.0022287447936832905, 'model_time': 1.9008711883798242, 'learning_rate': 9.363620667976085e-06, ]8;id=881334;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=490094;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 18.2})   +03/18 [12:29:00] INFO  | >> Step 7550, Loss: {'action_dit_loss': 0.9301913380622864, 'data_time': 0.00014274008572101593, 'model_time': 1.9086331850849092, 'learning_rate': 9.338524628268734e-06, 'epoch': 18.33}) ]8;id=28276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=950983;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:30:38] INFO  | >> Step 7600, Loss: {'action_dit_loss': 0.4225969910621643, 'mse_score': 0.001170057151466608, 'data_time': 0.0014143390581011772, 'model_time': 1.903113723732531, 'learning_rate': 9.312980235762408e-06, 'epoch': ]8;id=28418;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=88025;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  18.45})   +03/18 [12:32:13] INFO  | >> Step 7650, Loss: {'action_dit_loss': 0.564609944820404, 'data_time': 0.002237125765532255, 'model_time': 1.9078896958380938, 'learning_rate': 9.286990291687605e-06, 'epoch': 18.57}) ]8;id=484125;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=190556;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:33:50] INFO  | >> Step 7700, Loss: {'action_dit_loss': 0.38005951046943665, 'mse_score': 0.0025941569358110426, 'data_time': 0.00014390982687473297, 'model_time': 1.9043006421998143, 'learning_rate': 9.260557646134572e-06, ]8;id=221941;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=476786;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 18.69})   +03/18 [12:35:26] INFO  | >> Step 7750, Loss: {'action_dit_loss': 0.3406522274017334, 'data_time': 0.0015233051963150501, 'model_time': 1.9016999760642648, 'learning_rate': 9.233685197740765e-06, 'epoch': 18.81}) ]8;id=397542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=291773;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:37:05] INFO  | >> Step 7800, Loss: {'action_dit_loss': 1.1169201135635376, 'mse_score': 0.0022840378805994987, 'data_time': 0.00014564907178282738, 'model_time': 1.9081068621017039, 'learning_rate': 9.206375893372973e-06, ]8;id=264525;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=875467;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 18.93})   +03/18 [12:38:40] INFO  | >> Step 7850, Loss: {'action_dit_loss': 0.2757285535335541, 'data_time': 0.0015686429105699062, 'model_time': 1.9017685540020466, 'learning_rate': 9.17863272780417e-06, 'epoch': 19.05}) ]8;id=565621;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=54615;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:40:18] INFO  | >> Step 7900, Loss: {'action_dit_loss': 0.5644521117210388, 'mse_score': 0.001277507096529007, 'data_time': 0.0001437799073755741, 'model_time': 1.9068461046554148, 'learning_rate': 9.150458743385095e-06, ]8;id=71951;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=819182;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 19.17})   +03/18 [12:41:53] INFO  | >> Step 7950, Loss: {'action_dit_loss': 0.686948299407959, 'data_time': 0.0014939629472792149, 'model_time': 1.903344890102744, 'learning_rate': 9.121857029710632e-06, 'epoch': 19.3}) ]8;id=995740;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=259295;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:43:31] INFO  | >> Step 8000, Loss: {'action_dit_loss': 0.7184677124023438, 'mse_score': 0.0014003648422658444, 'data_time': 0.0025964872911572456, 'model_time': 1.9028848567977548, 'learning_rate': 9.092830723281e-06, 'epoch': ]8;id=159784;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=250132;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  19.42})   +03/18 [12:45:06] INFO  | >> Step 8050, Loss: {'action_dit_loss': 0.5061053037643433, 'data_time': 0.002271008212119341, 'model_time': 1.9027743679471314, 'learning_rate': 9.063383007157795e-06, 'epoch': 19.54}) ]8;id=591364;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=993795;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:46:44] INFO  | >> Step 8100, Loss: {'action_dit_loss': 0.279620498418808, 'mse_score': 0.0016124293208122254, 'data_time': 0.00015005888417363167, 'model_time': 1.904663979075849, 'learning_rate': 9.033517110614933e-06, ]8;id=804150;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=386814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 19.66})   +03/18 [12:48:20] INFO  | >> Step 8150, Loss: {'action_dit_loss': 0.31190478801727295, 'data_time': 0.0020968480966985226, 'model_time': 2.1558669633232057, 'learning_rate': 9.00323630878453e-06, 'epoch': 19.78}) ]8;id=753252;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=120096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:49:59] INFO  | >> Step 8200, Loss: {'action_dit_loss': 0.7045489549636841, 'mse_score': 0.0017115861177444459, 'data_time': 0.00014722906053066254, 'model_time': 1.9133510231040418, 'learning_rate': 8.972543922297739e-06, ]8;id=113349;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=606794;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 19.9})   +03/18 [12:51:34] INFO  | >> Step 8250, Loss: {'action_dit_loss': 0.32508575916290283, 'data_time': 0.004965960048139095, 'model_time': 1.9073302312754095, 'learning_rate': 8.941443316920613e-06, 'epoch': 20.02}) ]8;id=710250;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=952134;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:53:11] INFO  | >> Step 8300, Loss: {'action_dit_loss': 0.5207498073577881, 'mse_score': 0.0010123872198164463, 'data_time': 0.00015455903485417366, 'model_time': 1.905469872057438, 'learning_rate': 8.909937903185e-06, 'epoch': ]8;id=207963;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=79688;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  20.15})   +03/18 [12:54:47] INFO  | >> Step 8350, Loss: {'action_dit_loss': 0.7218649983406067, 'data_time': 0.00014657992869615555, 'model_time': 1.9051345689222217, 'learning_rate': 8.878031136014552e-06, 'epoch': 20.27}) ]8;id=254646;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=106851;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:56:24] INFO  | >> Step 8400, Loss: {'action_dit_loss': 0.3984125852584839, 'mse_score': 0.00035306839272379874, 'data_time': 0.00016176700592041016, 'model_time': 1.9066260596737266, 'learning_rate': 8.845726514345845e-06, ]8;id=717497;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=629577;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 20.39})   +03/18 [12:58:01] INFO  | >> Step 8450, Loss: {'action_dit_loss': 0.5168488621711731, 'data_time': 0.0001505659893155098, 'model_time': 1.905559903010726, 'learning_rate': 8.813027580744685e-06, 'epoch': 20.51}) ]8;id=820652;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=43064;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [12:59:38] INFO  | >> Step 8500, Loss: {'action_dit_loss': 0.31624090671539307, 'mse_score': 0.002538585662841797, 'data_time': 0.004069776739925146, 'model_time': 1.9028408820740879, 'learning_rate': 8.779937921017624e-06, ]8;id=388571;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=72306;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 20.63})   +03/18 [13:01:13] INFO  | >> Step 8550, Loss: {'action_dit_loss': 0.2981310784816742, 'data_time': 0.00015867408365011215, 'model_time': 1.9035464636981487, 'learning_rate': 8.74646116381874e-06, 'epoch': 20.75}) ]8;id=890844;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=440463;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:02:52] INFO  | >> Step 8600, Loss: {'action_dit_loss': 0.4968196153640747, 'mse_score': 0.0014051047153770923, 'data_time': 0.00015336321666836739, 'model_time': 1.9138190210796893, 'learning_rate': 8.712600980251706e-06, ]8;id=379781;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=666459;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 20.87})   +03/18 [13:04:27] INFO  | >> Step 8650, Loss: {'action_dit_loss': 0.23357896506786346, 'data_time': 0.0016398588195443153, 'model_time': 1.9140666089951992, 'learning_rate': 8.678361083467221e-06, 'epoch': 21.0}) ]8;id=160422;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=456641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:06:05] INFO  | >> Step 8700, Loss: {'action_dit_loss': 0.92744380235672, 'mse_score': 0.0005525678396224975, 'data_time': 0.004853471182286739, 'model_time': 1.9011286087334156, 'learning_rate': 8.643745228255816e-06, 'epoch': ]8;id=283201;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=645830;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  21.12})   +03/18 [13:07:41] INFO  | >> Step 8750, Loss: {'action_dit_loss': 1.1063694953918457, 'data_time': 0.00018151337280869484, 'model_time': 1.9028688250109553, 'learning_rate': 8.608757210636101e-06, 'epoch': 21.24}) ]8;id=506983;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=487455;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:09:19] INFO  | >> Step 8800, Loss: {'action_dit_loss': 0.27080026268959045, 'mse_score': 0.00030243059154599905, 'data_time': 0.00015318067744374275, 'model_time': 1.9081055880524218, 'learning_rate': 8.573400867438486e-06, ]8;id=281433;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=337960;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 21.36})   +03/18 [13:10:54] INFO  | >> Step 8850, Loss: {'action_dit_loss': 0.4370196461677551, 'data_time': 0.0031968168914318085, 'model_time': 1.9026432670652866, 'learning_rate': 8.537680075884433e-06, 'epoch': 21.48}) ]8;id=90872;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=292477;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:12:31] INFO  | >> Step 8900, Loss: {'action_dit_loss': 0.22981449961662292, 'mse_score': 0.0031760256737470628, 'data_time': 0.00015692086890339851, 'model_time': 1.9079065420664847, 'learning_rate': 8.501598753161273e-06, ]8;id=487282;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=597530;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 21.6})   +03/18 [13:14:07] INFO  | >> Step 8950, Loss: {'action_dit_loss': 0.2683708071708679, 'data_time': 0.0015932787209749222, 'model_time': 1.907693832181394, 'learning_rate': 8.465160855992639e-06, 'epoch': 21.72}) ]8;id=30094;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=518317;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:15:47] INFO  | >> Step 9000, Loss: {'action_dit_loss': 0.8987618684768677, 'mse_score': 0.0021102981641888618, 'data_time': 0.0034288661554455757, 'model_time': 1.9108641212806106, 'learning_rate': 8.428370380204577e-06, ]8;id=222423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=372060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 21.84})   +03/18 [13:17:22] INFO  | >> Step 9050, Loss: {'action_dit_loss': 0.16475620865821838, 'data_time': 0.0017509269528090954, 'model_time': 1.9067498319782317, 'learning_rate': 8.391231360287348e-06, 'epoch': 21.97}) ]8;id=923082;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=625113;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:19:00] INFO  | >> Step 9100, Loss: {'action_dit_loss': 0.4489806890487671, 'mse_score': 0.0005213416181504727, 'data_time': 0.00015631085261702538, 'model_time': 1.9046451719477773, 'learning_rate': 8.353747868953002e-06, ]8;id=10644;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=541722;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 22.09})   +03/18 [13:20:35] INFO  | >> Step 9150, Loss: {'action_dit_loss': 0.6759139895439148, 'data_time': 0.00014650123193860054, 'model_time': 1.9049475430510938, 'learning_rate': 8.315924016688767e-06, 'epoch': 22.21}) ]8;id=755053;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=426170;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:22:13] INFO  | >> Step 9200, Loss: {'action_dit_loss': 0.28970983624458313, 'mse_score': 0.0005089010111987591, 'data_time': 0.0014941142871975899, 'model_time': 1.9012735141441226, 'learning_rate': 8.277763951306277e-06, ]8;id=724156;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=499219;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 22.33})   +03/18 [13:23:48] INFO  | >> Step 9250, Loss: {'action_dit_loss': 0.23590832948684692, 'data_time': 0.0022819843143224716, 'model_time': 1.9010412762872875, 'learning_rate': 8.23927185748673e-06, 'epoch': 22.45}) ]8;id=831450;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=18080;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:25:27] INFO  | >> Step 9300, Loss: {'action_dit_loss': 0.12381340563297272, 'mse_score': 0.0017737528309226037, 'data_time': 0.00014657992869615555, 'model_time': 1.9099002787843347, 'learning_rate': 8.200451956321974e-06, ]8;id=725391;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=255123;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 22.57})   +03/18 [13:27:02] INFO  | >> Step 9350, Loss: {'action_dit_loss': 0.1704224944114685, 'data_time': 0.0013997121714055538, 'model_time': 1.9024675101973116, 'learning_rate': 8.16130850485164e-06, 'epoch': 22.69}) ]8;id=496249;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=580358;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:28:40] INFO  | >> Step 9400, Loss: {'action_dit_loss': 0.4212576746940613, 'mse_score': 0.0011115220375359058, 'data_time': 0.001643911935389042, 'model_time': 1.9137865859083831, 'learning_rate': 8.121845795596282e-06, ]8;id=577124;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=346859;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 22.82})   +03/18 [13:30:16] INFO  | >> Step 9450, Loss: {'action_dit_loss': 0.22333770990371704, 'data_time': 0.0014984281733632088, 'model_time': 1.9063319419510663, 'learning_rate': 8.082068156086675e-06, 'epoch': 22.94}) ]8;id=321517;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=263615;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:31:54] INFO  | >> Step 9500, Loss: {'action_dit_loss': 0.49852967262268066, 'mse_score': 0.0010104784741997719, 'data_time': 0.0014520897530019283, 'model_time': 1.9043498141691089, 'learning_rate': 8.041979948389248e-06, ]8;id=330876;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=125362;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 23.06})   +03/18 [13:33:30] INFO  | >> Step 9550, Loss: {'action_dit_loss': 0.6176328659057617, 'data_time': 0.0015651644207537174, 'model_time': 1.907204921822995, 'learning_rate': 8.001585568627724e-06, 'epoch': 23.18}) ]8;id=723688;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=194143;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:35:07] INFO  | >> Step 9600, Loss: {'action_dit_loss': 0.1867583841085434, 'mse_score': 0.00023340252228081225, 'data_time': 0.0015897010453045368, 'model_time': 1.9022392169572413, 'learning_rate': 7.960889446501052e-06, ]8;id=289930;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=759782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 23.3})   +03/18 [13:36:43] INFO  | >> Step 9650, Loss: {'action_dit_loss': 0.18309101462364197, 'data_time': 0.0015119691379368305, 'model_time': 1.9059620848856866, 'learning_rate': 7.919896044797622e-06, 'epoch': 23.42}) ]8;id=296745;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=105409;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:38:20] INFO  | >> Step 9700, Loss: {'action_dit_loss': 0.06890018284320831, 'mse_score': 0.0021798064932227134, 'data_time': 0.0015250337310135365, 'model_time': 1.9110795469023287, 'learning_rate': 7.878609858905885e-06, ]8;id=378411;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=188158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 23.54})   +03/18 [13:39:56] INFO  | >> Step 9750, Loss: {'action_dit_loss': 0.2996847331523895, 'data_time': 0.0015179081819951534, 'model_time': 1.9084661211818457, 'learning_rate': 7.83703541632138e-06, 'epoch': 23.67}) ]8;id=132731;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=287636;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:41:35] INFO  | >> Step 9800, Loss: {'action_dit_loss': 0.7211660742759705, 'mse_score': 0.0009812677279114723, 'data_time': 0.00019909674301743507, 'model_time': 1.9050679500214756, 'learning_rate': 7.795177276150234e-06, ]8;id=731295;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=989949;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 23.79})   +03/18 [13:43:11] INFO  | >> Step 9850, Loss: {'action_dit_loss': 0.12133133411407471, 'data_time': 0.0040010716766119, 'model_time': 1.905169378966093, 'learning_rate': 7.75304002860922e-06, 'epoch': 23.91}) ]8;id=514723;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=107570;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:44:48] INFO  | >> Step 9900, Loss: {'action_dit_loss': 0.3697436451911926, 'mse_score': 0.0011850609444081783, 'data_time': 0.00016738707199692726, 'model_time': 1.9100873367860913, 'learning_rate': 7.71062829452237e-06, ]8;id=492198;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=501968;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 24.03})   +03/18 [13:46:24] INFO  | >> Step 9950, Loss: {'action_dit_loss': 0.4253714680671692, 'data_time': 0.0001545981504023075, 'model_time': 1.9060702500864863, 'learning_rate': 7.667946724814264e-06, 'epoch': 24.15}) ]8;id=264742;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=986776;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:48:01] INFO  | >> Step 10000, Loss: {'action_dit_loss': 0.198586568236351, 'mse_score': 0.0004977969452738762, 'data_time': 0.00015090778470039368, 'model_time': 1.903736466076225, 'learning_rate': 7.625e-06, 'epoch': 24.27}) ]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#253\253]8;;\ +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_10000 +03/18 [13:48:10] INFO  | >> 📊 Saving accessed configuration... ]8;id=719796;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=56213;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#240\240]8;;\ +  INFO  | >> ✅ Configuration files saved ]8;id=995230;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=318594;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\ +03/18 [13:49:46] INFO  | >> Step 10050, Loss: {'action_dit_loss': 0.26464638113975525, 'data_time': 0.0002657170407474041, 'model_time': 1.9088101722300053, 'learning_rate': 7.58179282967192e-06, 'epoch': 24.39}) ]8;id=801577;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=436390;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:51:24] INFO  | >> Step 10100, Loss: {'action_dit_loss': 0.16371290385723114, 'mse_score': 0.0017197858542203903, 'data_time': 0.004197981208562851, 'model_time': 1.9029842149466276, 'learning_rate': 7.538329951983148e-06, ]8;id=236650;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=813373;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 24.51})   +03/18 [13:53:00] INFO  | >> Step 10150, Loss: {'action_dit_loss': 0.2229771912097931, 'data_time': 0.0001572384499013424, 'model_time': 1.9036098127253354, 'learning_rate': 7.494616133128008e-06, 'epoch': 24.64}) ]8;id=464226;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=311797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:54:39] INFO  | >> Step 10200, Loss: {'action_dit_loss': 0.4681985080242157, 'mse_score': 0.001019198354333639, 'data_time': 1.096439590677619, 'model_time': 1.9673944008536637, 'learning_rate': 7.450656166819344e-06, 'epoch': ]8;id=596251;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=651194;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  24.76})   +03/18 [13:56:14] INFO  | >> Step 10250, Loss: {'action_dit_loss': 0.09247586131095886, 'data_time': 0.0014164750464260578, 'model_time': 1.9033583318814635, 'learning_rate': 7.406454873762848e-06, 'epoch': 24.88}) ]8;id=993620;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=799787;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [13:57:52] INFO  | >> Step 10300, Loss: {'action_dit_loss': 0.3020709455013275, 'mse_score': 0.00037176560144871475, 'data_time': 0.0016390937380492687, 'model_time': 1.9041812969371676, 'learning_rate': 7.362017101128406e-06, ]8;id=692509;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=85131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 25.0})   +03/18 [13:59:27] INFO  | >> Step 10350, Loss: {'action_dit_loss': 0.4965093731880188, 'data_time': 0.0014988463371992111, 'model_time': 1.9064299250021577, 'learning_rate': 7.317347722018557e-06, 'epoch': 25.12}) ]8;id=78711;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=164136;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:01:06] INFO  | >> Step 10400, Loss: {'action_dit_loss': 0.15128731727600098, 'mse_score': 0.0008036673069000244, 'data_time': 0.00015834905207157135, 'model_time': 1.9026044351048768, 'learning_rate': 7.272451634934096e-06, ]8;id=622656;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=492738;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 25.24})   +03/18 [14:02:41] INFO  | >> Step 10450, Loss: {'action_dit_loss': 0.28338852524757385, 'data_time': 0.00016511837020516396, 'model_time': 1.9077622229233384, 'learning_rate': 7.227333763236907e-06, 'epoch': 25.36}) ]8;id=741296;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=296451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:04:19] INFO  | >> Step 10500, Loss: {'action_dit_loss': 0.05974207818508148, 'mse_score': 0.0011545418761670589, 'data_time': 0.0022607161663472652, 'model_time': 1.9034755160100758, 'learning_rate': 7.181999054610053e-06, ]8;id=720775;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=244762;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 25.49})   +03/18 [14:05:54] INFO  | >> Step 10550, Loss: {'action_dit_loss': 0.1513873040676117, 'data_time': 0.002472861669957638, 'model_time': 1.9045171248726547, 'learning_rate': 7.136452480515208e-06, 'epoch': 25.61}) ]8;id=655420;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=618439;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:07:32] INFO  | >> Step 10600, Loss: {'action_dit_loss': 0.2955884635448456, 'mse_score': 0.0011807230301201343, 'data_time': 0.00012108031660318375, 'model_time': 1.9067513272166252, 'learning_rate': 7.0906990356474895e-06, ]8;id=445790;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=120351;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 25.73})   +03/18 [14:09:09] INFO  | >> Step 10650, Loss: {'action_dit_loss': 0.03666360676288605, 'data_time': 0.0036460240371525288, 'model_time': 1.9047558871097863, 'learning_rate': 7.04474373738772e-06, 'epoch': 25.85}) ]8;id=952538;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=278535;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:10:47] INFO  | >> Step 10700, Loss: {'action_dit_loss': 0.4482293128967285, 'mse_score': 0.0009098743088543415, 'data_time': 0.00015388894826173782, 'model_time': 1.9057543841190636, 'learning_rate': 6.9985916252522225e-06, ]8;id=173982;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=831131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 25.97})   +03/18 [14:12:23] INFO  | >> Step 10750, Loss: {'action_dit_loss': 0.29559868574142456, 'data_time': 0.0014491351321339607, 'model_time': 1.9056285410188138, 'learning_rate': 6.952247760340176e-06, 'epoch': 26.09}) ]8;id=596856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=965940;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:14:00] INFO  | >> Step 10800, Loss: {'action_dit_loss': 0.06311503052711487, 'mse_score': 0.00017277069855481386, 'data_time': 0.002312060911208391, 'model_time': 1.9050324130803347, 'learning_rate': 6.905717224778623e-06, ]8;id=722131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=318862;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 26.21})   +03/18 [14:15:36] INFO  | >> Step 10850, Loss: {'action_dit_loss': 0.25361570715904236, 'data_time': 0.00015658000484108925, 'model_time': 1.9047271627932787, 'learning_rate': 6.859005121165135e-06, 'epoch': 26.33}) ]8;id=524783;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=566211;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:17:13] INFO  | >> Step 10900, Loss: {'action_dit_loss': 0.0982750728726387, 'mse_score': 0.001087417919188738, 'data_time': 0.0025146566331386566, 'model_time': 1.9038018346764147, 'learning_rate': 6.812116572008271e-06, ]8;id=41797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=932627;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 26.46})   +03/18 [14:18:50] INFO  | >> Step 10950, Loss: {'action_dit_loss': 0.14904770255088806, 'data_time': 0.0023116678930819035, 'model_time': 1.907407102175057, 'learning_rate': 6.765056719165833e-06, 'epoch': 26.58}) ]8;id=262529;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=27121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:20:27] INFO  | >> Step 11000, Loss: {'action_dit_loss': 0.4335765242576599, 'mse_score': 0.0007564202416688204, 'data_time': 0.0020265192724764347, 'model_time': 1.9059815811924636, 'learning_rate': 6.7178307232810015e-06, ]8;id=902317;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=603139;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 26.7})   +03/18 [14:22:04] INFO  | >> Step 11050, Loss: {'action_dit_loss': 0.02527615800499916, 'data_time': 0.003314909990876913, 'model_time': 1.9023311822675169, 'learning_rate': 6.670443763216412e-06, 'epoch': 26.82}) ]8;id=704938;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=861322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:23:41] INFO  | >> Step 11100, Loss: {'action_dit_loss': 0.4863111972808838, 'mse_score': 0.0011972014792263508, 'data_time': 0.00014810031279921532, 'model_time': 1.9041791651397943, 'learning_rate': 6.622901035486241e-06, ]8;id=793005;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=183700;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 26.94})   +03/18 [14:25:17] INFO  | >> Step 11150, Loss: {'action_dit_loss': 0.331325888633728, 'data_time': 0.0013781222514808178, 'model_time': 1.9040954089723527, 'learning_rate': 6.5752077536863404e-06, 'epoch': 27.06}) ]8;id=960571;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=291668;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:26:55] INFO  | >> Step 11200, Loss: {'action_dit_loss': 0.2635641098022461, 'mse_score': 0.000421823188662529, 'data_time': 0.002566804178059101, 'model_time': 1.9019856830127537, 'learning_rate': 6.5273691479225124e-06, ]8;id=853797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=515611;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 27.18})   +03/18 [14:28:31] INFO  | >> Step 11250, Loss: {'action_dit_loss': 0.15007147192955017, 'data_time': 0.00015106890350580215, 'model_time': 1.90458062896505, 'learning_rate': 6.479390464236974e-06, 'epoch': 27.31}) ]8;id=349499;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=336653;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:30:08] INFO  | >> Step 11300, Loss: {'action_dit_loss': 0.13239897787570953, 'mse_score': 0.0006868717726320028, 'data_time': 0.00225468585267663, 'model_time': 1.9021527678705752, 'learning_rate': 6.431276964033062e-06, ]8;id=345824;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=431641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 27.43})   +03/18 [14:31:43] INFO  | >> Step 11350, Loss: {'action_dit_loss': 0.12214301526546478, 'data_time': 0.0025161528028547764, 'model_time': 1.9016320928931236, 'learning_rate': 6.3830339234982596e-06, 'epoch': 27.55}) ]8;id=991107;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=419904;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:33:21] INFO  | >> Step 11400, Loss: {'action_dit_loss': 0.4619342088699341, 'mse_score': 0.001471213437616825, 'data_time': 0.0014538099057972431, 'model_time': 1.9007507478818297, 'learning_rate': 6.334666633025616e-06, ]8;id=476919;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=92337;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 27.67})   +03/18 [14:34:57] INFO  | >> Step 11450, Loss: {'action_dit_loss': 0.07275843620300293, 'data_time': 0.0038083940744400024, 'model_time': 1.90846728393808, 'learning_rate': 6.286180396633579e-06, 'epoch': 27.79}) ]8;id=810075;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=423808;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:36:36] INFO  | >> Step 11500, Loss: {'action_dit_loss': 0.13821819424629211, 'mse_score': 0.0007730492390692234, 'data_time': 0.00014947867020964622, 'model_time': 1.905674119014293, 'learning_rate': 6.2375805313843564e-06, ]8;id=689606;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 27.91})   +03/18 [14:38:11] INFO  | >> Step 11550, Loss: {'action_dit_loss': 0.28231167793273926, 'data_time': 0.0001516188494861126, 'model_time': 1.9056271039880812, 'learning_rate': 6.18887236680085e-06, 'epoch': 28.03}) ]8;id=196694;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=543623;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:39:49] INFO  | >> Step 11600, Loss: {'action_dit_loss': 0.1050342470407486, 'mse_score': 0.0005517570301890373, 'data_time': 0.00015049893409013748, 'model_time': 1.906797330826521, 'learning_rate': 6.140061244282194e-06, ]8;id=655788;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=463513;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 28.16})   +03/18 [14:41:24] INFO  | >> Step 11650, Loss: {'action_dit_loss': 0.18416941165924072, 'data_time': 0.000157118309289217, 'model_time': 1.9060247889719903, 'learning_rate': 6.091152516518022e-06, 'epoch': 28.28}) ]8;id=575898;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=137377;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:43:02] INFO  | >> Step 11700, Loss: {'action_dit_loss': 0.05168716609477997, 'mse_score': 0.001977439783513546, 'data_time': 0.004892983939498663, 'model_time': 1.9038419616408646, 'learning_rate': 6.042151546901487e-06, ]8;id=732168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=508257;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 28.4})   +03/18 [14:44:38] INFO  | >> Step 11750, Loss: {'action_dit_loss': 0.2047167420387268, 'data_time': 0.00015549920499324799, 'model_time': 1.902618425898254, 'learning_rate': 5.993063708941098e-06, 'epoch': 28.52}) ]8;id=838141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=250921;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:46:16] INFO  | >> Step 11800, Loss: {'action_dit_loss': 0.3614649176597595, 'mse_score': 0.0009116705507040024, 'data_time': 0.0015549291856586933, 'model_time': 1.9038637690246105, 'learning_rate': 5.943894385671456e-06, ]8;id=14338;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=579077;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 28.64})   +03/18 [14:47:52] INFO  | >> Step 11850, Loss: {'action_dit_loss': 0.16879163682460785, 'data_time': 0.002586880698800087, 'model_time': 1.9063481357879937, 'learning_rate': 5.894648969062947e-06, 'epoch': 28.76}) ]8;id=957276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=118972;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:49:30] INFO  | >> Step 11900, Loss: {'action_dit_loss': 0.1686629354953766, 'mse_score': 0.00023683682084083558, 'data_time': 0.0015530278906226158, 'model_time': 1.9034719672054052, 'learning_rate': 5.845332859430446e-06, ]8;id=872565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=161450;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 28.88})   +03/18 [14:51:05] INFO  | >> Step 11950, Loss: {'action_dit_loss': 0.6229652762413025, 'data_time': 0.0014756391756236553, 'model_time': 1.9062147750519216, 'learning_rate': 5.7959514648411175e-06, 'epoch': 29.0}) ]8;id=533590;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=739677;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:52:43] INFO  | >> Step 12000, Loss: {'action_dit_loss': 0.08028455078601837, 'mse_score': 0.0002048344584181905, 'data_time': 0.00015801889821887016, 'model_time': 1.9059417638927698, 'learning_rate': 5.746510200521354e-06, ]8;id=495158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=255570;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 29.13})   +03/18 [14:54:19] INFO  | >> Step 12050, Loss: {'action_dit_loss': 0.3034423291683197, 'data_time': 0.0016363589093089104, 'model_time': 1.9036038806661963, 'learning_rate': 5.697014488262945e-06, 'epoch': 29.25}) ]8;id=199869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=966648;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:55:56] INFO  | >> Step 12100, Loss: {'action_dit_loss': 0.07844438403844833, 'mse_score': 0.002060662768781185, 'data_time': 0.00243300199508667, 'model_time': 1.903919082134962, 'learning_rate': 5.647469755828501e-06, 'epoch': ]8;id=143139;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=905997;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  29.37})   +03/18 [14:57:32] INFO  | >> Step 12150, Loss: {'action_dit_loss': 0.17523664236068726, 'data_time': 0.0002861977554857731, 'model_time': 1.9048881819471717, 'learning_rate': 5.597881436356252e-06, 'epoch': 29.49}) ]8;id=895916;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=435098;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [14:59:09] INFO  | >> Step 12200, Loss: {'action_dit_loss': 0.4186265170574188, 'mse_score': 0.0005011878907680512, 'data_time': 0.002438821829855442, 'model_time': 1.903724622912705, 'learning_rate': 5.548254967764239e-06, ]8;id=280150;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=860408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 29.61})   +03/18 [15:00:46] INFO  | >> Step 12250, Loss: {'action_dit_loss': 0.07336588203907013, 'data_time': 0.0014979788102209568, 'model_time': 1.9035454830154777, 'learning_rate': 5.498595792153985e-06, 'epoch': 29.73}) ]8;id=878157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=615448;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:02:24] INFO  | >> Step 12300, Loss: {'action_dit_loss': 0.30214348435401917, 'mse_score': 0.0003485484980046749, 'data_time': 0.0028975694440305233, 'model_time': 1.9038478857837617, 'learning_rate': 5.4489093552136986e-06, ]8;id=155813;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=468238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 29.85})   +03/18 [15:04:00] INFO  | >> Step 12350, Loss: {'action_dit_loss': 0.18243803083896637, 'data_time': 0.0001420588232576847, 'model_time': 1.9045764026232064, 'learning_rate': 5.399201105621111e-06, 'epoch': 29.98}) ]8;id=578727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=799929;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:05:37] INFO  | >> Step 12400, Loss: {'action_dit_loss': 0.06548240780830383, 'mse_score': 0.00015536756254732608, 'data_time': 0.00014755874872207642, 'model_time': 1.903864657972008, 'learning_rate': 5.349476494445947e-06, ]8;id=337408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911843;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 30.1})   +03/18 [15:07:12] INFO  | >> Step 12450, Loss: {'action_dit_loss': 0.10820156335830688, 'data_time': 0.00015843892470002174, 'model_time': 1.906733606941998, 'learning_rate': 5.299740974552168e-06, 'epoch': 30.22}) ]8;id=401574;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=244907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:08:50] INFO  | >> Step 12500, Loss: {'action_dit_loss': 0.022257570177316666, 'mse_score': 0.001604195311665535, 'data_time': 0.0031810770742595196, 'model_time': 1.9023893061093986, 'learning_rate': 5.2500000000000006e-06, ]8;id=333632;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=780879;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 30.34})   +03/18 [15:10:25] INFO  | >> Step 12550, Loss: {'action_dit_loss': 0.05892772972583771, 'data_time': 0.0001552891917526722, 'model_time': 1.906951518729329, 'learning_rate': 5.200259025447835e-06, 'epoch': 30.46}) ]8;id=399749;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=404832;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:12:04] INFO  | >> Step 12600, Loss: {'action_dit_loss': 0.37306442856788635, 'mse_score': 0.0012055851519107818, 'data_time': 0.00014020781964063644, 'model_time': 1.901595238596201, 'learning_rate': 5.1505235055540545e-06, ]8;id=159493;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=519389;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 30.58})   +03/18 [15:13:40] INFO  | >> Step 12650, Loss: {'action_dit_loss': 0.006350081879645586, 'data_time': 0.0023389500565826893, 'model_time': 1.9059330499731004, 'learning_rate': 5.100798894378891e-06, 'epoch': 30.7}) ]8;id=348121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:15:18] INFO  | >> Step 12700, Loss: {'action_dit_loss': 0.16148024797439575, 'mse_score': 0.0007955622859299183, 'data_time': 0.00016605807468295097, 'model_time': 1.9038990666158497, 'learning_rate': 5.0510906447863025e-06, ]8;id=104555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=551499;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 30.83})   +03/18 [15:16:53] INFO  | >> Step 12750, Loss: {'action_dit_loss': 0.08826185017824173, 'data_time': 0.004168674349784851, 'model_time': 1.9050894607789814, 'learning_rate': 5.001404207846017e-06, 'epoch': 30.95}) ]8;id=151157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=429893;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:18:31] INFO  | >> Step 12800, Loss: {'action_dit_loss': 0.08697041869163513, 'mse_score': 0.00021248571574687957, 'data_time': 0.00014626886695623398, 'model_time': 1.907378048170358, 'learning_rate': 4.951745032235762e-06, ]8;id=492296;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=819488;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 31.07})   +03/18 [15:20:07] INFO  | >> Step 12850, Loss: {'action_dit_loss': 0.08270406723022461, 'data_time': 0.0015999539755284786, 'model_time': 2.142278033308685, 'learning_rate': 4.902118563643751e-06, 'epoch': 31.19}) ]8;id=416791;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=681403;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:21:45] INFO  | >> Step 12900, Loss: {'action_dit_loss': 0.08033212274312973, 'mse_score': 0.0002365173539146781, 'data_time': 0.0015027550980448723, 'model_time': 1.9045988703146577, 'learning_rate': 4.852530244171502e-06, ]8;id=707115;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=901085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 31.31})   +03/18 [15:23:20] INFO  | >> Step 12950, Loss: {'action_dit_loss': 0.009181356057524681, 'data_time': 0.00014468887820839882, 'model_time': 1.9048605798743665, 'learning_rate': 4.802985511737057e-06, 'epoch': 31.43}) ]8;id=753629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=930546;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:24:58] INFO  | >> Step 13000, Loss: {'action_dit_loss': 0.1840353012084961, 'mse_score': 0.0009000908583402633, 'data_time': 0.0016165347769856453, 'model_time': 1.90562635473907, 'learning_rate': 4.753489799478647e-06, ]8;id=37642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=647453;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 31.55})   +03/18 [15:26:33] INFO  | >> Step 13050, Loss: {'action_dit_loss': 0.04126308485865593, 'data_time': 0.0023887488059699535, 'model_time': 1.9017624636180699, 'learning_rate': 4.7040485351588845e-06, 'epoch': 31.67}) ]8;id=965664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=301338;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:28:12] INFO  | >> Step 13100, Loss: {'action_dit_loss': 0.18944533169269562, 'mse_score': 0.00013022500788792968, 'data_time': 0.0015974859707057476, 'model_time': 1.907874105963856, 'learning_rate': 4.654667140569555e-06, ]8;id=103225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=797305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 31.8})   +03/18 [15:29:48] INFO  | >> Step 13150, Loss: {'action_dit_loss': 0.041816115379333496, 'data_time': 0.0024650790728628635, 'model_time': 1.9036586009897292, 'learning_rate': 4.605351030937054e-06, 'epoch': 31.92}) ]8;id=465230;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=174446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:31:26] INFO  | >> Step 13200, Loss: {'action_dit_loss': 0.07184533774852753, 'mse_score': 0.00024322110693901776, 'data_time': 0.00014972873032093048, 'model_time': 1.9040230689570308, 'learning_rate': 4.556105614328545e-06, ]8;id=48225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=340131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 32.04})   +03/18 [15:33:01] INFO  | >> Step 13250, Loss: {'action_dit_loss': 0.1418728530406952, 'data_time': 0.001577187329530716, 'model_time': 1.904416979290545, 'learning_rate': 4.506936291058902e-06, 'epoch': 32.16}) ]8;id=393049;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=451607;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:34:38] INFO  | >> Step 13300, Loss: {'action_dit_loss': 0.009722691960632801, 'mse_score': 0.0019603632390499115, 'data_time': 0.002057062927633524, 'model_time': 1.9057561228983104, 'learning_rate': 4.457848453098514e-06, ]8;id=593418;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=714919;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 32.28})   +03/18 [15:36:14] INFO  | >> Step 13350, Loss: {'action_dit_loss': 0.016898218542337418, 'data_time': 0.0001546880230307579, 'model_time': 1.9064190168865025, 'learning_rate': 4.40884748348198e-06, 'epoch': 32.4}) ]8;id=82804;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=639098;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:37:52] INFO  | >> Step 13400, Loss: {'action_dit_loss': 0.11442972719669342, 'mse_score': 0.0007997738197445869, 'data_time': 0.0014976379461586475, 'model_time': 1.9021792742423713, 'learning_rate': 4.359938755717807e-06, ]8;id=252528;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=521841;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 32.52})   +03/18 [15:39:28] INFO  | >> Step 13450, Loss: {'action_dit_loss': 0.01016173604875803, 'data_time': 0.0026214993558824062, 'model_time': 1.9028127351775765, 'learning_rate': 4.311127633199151e-06, 'epoch': 32.65}) ]8;id=483550;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=668891;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:41:06] INFO  | >> Step 13500, Loss: {'action_dit_loss': 0.0374811515212059, 'mse_score': 0.0002452189568430185, 'data_time': 0.00014212913811206818, 'model_time': 1.9064011541195214, 'learning_rate': 4.262419468615644e-06, ]8;id=9853;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=942573;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 32.77})   +03/18 [15:42:42] INFO  | >> Step 13550, Loss: {'action_dit_loss': 0.2859445810317993, 'data_time': 0.001291549764573574, 'model_time': 1.906363969668746, 'learning_rate': 4.213819603366424e-06, 'epoch': 32.89}) ]8;id=710526;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=573149;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:44:19] INFO  | >> Step 13600, Loss: {'action_dit_loss': 0.01718832552433014, 'mse_score': 0.00011304212966933846, 'data_time': 0.00015027914196252823, 'model_time': 1.9049507938325405, 'learning_rate': 4.165333366974385e-06, ]8;id=362351;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=616113;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 33.01})   +03/18 [15:45:55] INFO  | >> Step 13650, Loss: {'action_dit_loss': 0.08309243619441986, 'data_time': 0.0001494288444519043, 'model_time': 1.9043876747600734, 'learning_rate': 4.1169660765017416e-06, 'epoch': 33.13}) ]8;id=262246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=479027;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:47:33] INFO  | >> Step 13700, Loss: {'action_dit_loss': 0.006070655304938555, 'mse_score': 0.0002500096103176475, 'data_time': 0.004164779093116522, 'model_time': 1.9023865764029324, 'learning_rate': 4.06872303596694e-06, ]8;id=894787;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=506680;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 33.25})   +03/18 [15:49:09] INFO  | >> Step 13750, Loss: {'action_dit_loss': 0.012508376501500607, 'data_time': 0.00014901673421263695, 'model_time': 1.9022865085862577, 'learning_rate': 4.0206095357630256e-06, 'epoch': 33.37}) ]8;id=376395;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=602733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:50:46] INFO  | >> Step 13800, Loss: {'action_dit_loss': 0.11873407661914825, 'mse_score': 0.0006010157521814108, 'data_time': 0.00023496802896261215, 'model_time': 1.9046805119141936, 'learning_rate': 3.972630852077488e-06, ]8;id=870357;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=690203;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 33.5})   +03/18 [15:52:21] INFO  | >> Step 13850, Loss: {'action_dit_loss': 0.06063637137413025, 'data_time': 0.0039057862013578415, 'model_time': 1.9056092710234225, 'learning_rate': 3.9247922463136615e-06, 'epoch': 33.62}) ]8;id=907088;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=719112;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:54:00] INFO  | >> Step 13900, Loss: {'action_dit_loss': 0.07634107768535614, 'mse_score': 0.00011458494700491428, 'data_time': 0.0003657788038253784, 'model_time': 1.9074815176427364, 'learning_rate': 3.877098964513759e-06, ]8;id=635863;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=781369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 33.74})   +03/18 [15:55:36] INFO  | >> Step 13950, Loss: {'action_dit_loss': 0.17952166497707367, 'data_time': 0.0015450832433998585, 'model_time': 1.9051691913045943, 'learning_rate': 3.829556236783588e-06, 'epoch': 33.86}) ]8;id=300096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=813423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [15:57:14] INFO  | >> Step 14000, Loss: {'action_dit_loss': 0.04057012498378754, 'mse_score': 0.00011565324384719134, 'data_time': 0.0001609930768609047, 'model_time': 1.9047016450203955, 'learning_rate': 3.782169276719e-06, ]8;id=369435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=229642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 33.98})   +03/18 [15:58:49] INFO  | >> Step 14050, Loss: {'action_dit_loss': 0.0303864274173975, 'data_time': 0.00016126176342368126, 'model_time': 1.9073779941536486, 'learning_rate': 3.7349432808341673e-06, 'epoch': 34.1}) ]8;id=710687;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=792280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [16:00:27] INFO  | >> Step 14100, Loss: {'action_dit_loss': 0.04398569464683533, 'mse_score': 0.00036490545608103275, 'data_time': 0.0024116523563861847, 'model_time': 1.9022700670175254, 'learning_rate': 3.68788342799173e-06, ]8;id=879060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=143423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 34.22})   +03/18 [16:02:02] INFO  | >> Step 14150, Loss: {'action_dit_loss': 0.006336605176329613, 'data_time': 0.0001511620357632637, 'model_time': 1.9051569090224802, 'learning_rate': 3.640994878834866e-06, 'epoch': 34.34}) ]8;id=677737;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=41337;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [16:03:40] INFO  | >> Step 14200, Loss: {'action_dit_loss': 0.08530737459659576, 'mse_score': 0.0002001380082219839, 'data_time': 0.00016037095338106155, 'model_time': 1.979618651792407, 'learning_rate': 3.5942827752213788e-06, ]8;id=607727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=382584;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 34.47})   +03/18 [16:05:16] INFO  | >> Step 14250, Loss: {'action_dit_loss': 0.007864250801503658, 'data_time': 0.0033522299490869045, 'model_time': 1.9050735663622618, 'learning_rate': 3.5477522396598236e-06, 'epoch': 34.59}) ]8;id=309445;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=342589;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [16:06:55] INFO  | >> Step 14300, Loss: {'action_dit_loss': 0.044057346880435944, 'mse_score': 0.00020820414647459984, 'data_time': 0.002323077991604805, 'model_time': 1.9034589403308928, 'learning_rate': 3.50140837474778e-06, ]8;id=138579;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=824718;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 34.71})   +03/18 [16:08:30] INFO  | >> Step 14350, Loss: {'action_dit_loss': 0.09970208257436752, 'data_time': 0.00017822114750742912, 'model_time': 1.9156534159556031, 'learning_rate': 3.4552562626122817e-06, 'epoch': 34.83}) ]8;id=526169;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=957860;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [16:10:08] INFO  | >> Step 14400, Loss: {'action_dit_loss': 0.07265405356884003, 'mse_score': 0.00023453673347830772, 'data_time': 0.00015664100646972656, 'model_time': 1.9039000230841339, 'learning_rate': 3.409300964352511e-06, ]8;id=958449;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=864749;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 34.95})   +03/18 [16:11:43] INFO  | >> Step 14450, Loss: {'action_dit_loss': 0.0066268350929021835, 'data_time': 0.00023312214761972427, 'model_time': 1.907383200712502, 'learning_rate': 3.3635475194847927e-06, 'epoch': 35.07}) ]8;id=782824;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=912677;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [16:13:21] INFO  | >> Step 14500, Loss: {'action_dit_loss': 0.10111471265554428, 'mse_score': 0.00031707752496004107, 'data_time': 0.002336922101676464, 'model_time': 1.9029661291278899, 'learning_rate': 3.3180009453899496e-06, ]8;id=78957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=147594;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 35.19})   +03/18 [16:14:57] INFO  | >> Step 14550, Loss: {'action_dit_loss': 0.0030648570973426104, 'data_time': 0.00014469074085354805, 'model_time': 1.9071987797506154, 'learning_rate': 3.2726662367630953e-06, 'epoch': 35.32}) ]8;id=759396;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=707166;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [16:16:35] INFO  | >> Step 14600, Loss: {'action_dit_loss': 0.18284425139427185, 'mse_score': 0.0001505811349488795, 'data_time': 0.00014566117897629738, 'model_time': 1.9097817102447152, 'learning_rate': 3.227548365065905e-06, ]8;id=383542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=94689;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 35.44})   +03/18 [16:18:10] INFO  | >> Step 14650, Loss: {'action_dit_loss': 0.0992533266544342, 'data_time': 0.001440456137061119, 'model_time': 1.9052041620016098, 'learning_rate': 3.1826522779814453e-06, 'epoch': 35.56}) ]8;id=562636;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=129592;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [16:19:49] INFO  | >> Step 14700, Loss: {'action_dit_loss': 0.06487837433815002, 'mse_score': 0.00012924689799547194, 'data_time': 0.0001405300572514534, 'model_time': 1.9057040000334382, 'learning_rate': 3.1379828988715955e-06, ]8;id=705000;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=274896;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 35.68})   +03/18 [16:21:24] INFO  | >> Step 14750, Loss: {'action_dit_loss': 0.024851102381944656, 'data_time': 0.0013314797542989254, 'model_time': 1.9030050751753151, 'learning_rate': 3.093545126237153e-06, 'epoch': 35.8}) ]8;id=985967;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=389518;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [16:23:02] INFO  | >> Step 14800, Loss: {'action_dit_loss': 0.008987097069621086, 'mse_score': 0.00011743397917598485, 'data_time': 0.00014986330643296242, 'model_time': 1.9047391787171364, 'learning_rate': 3.049343833180658e-06, ]8;id=26240;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=649641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 35.92})   +03/18 [16:24:38] INFO  | >> Step 14850, Loss: {'action_dit_loss': 0.01636618562042713, 'data_time': 0.00015127379447221756, 'model_time': 1.903618433047086, 'learning_rate': 3.0053838668719944e-06, 'epoch': 36.04}) ]8;id=959715;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=639717;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [16:26:15] INFO  | >> Step 14900, Loss: {'action_dit_loss': 0.00351543165743351, 'mse_score': 0.0005660959053784609, 'data_time': 0.0015443540178239346, 'model_time': 1.9078514380380511, 'learning_rate': 2.961670048016852e-06, ]8;id=863874;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=486819;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 36.17})   +03/18 [16:27:51] INFO  | >> Step 14950, Loss: {'action_dit_loss': 0.002491611521691084, 'data_time': 0.0023578782565891743, 'model_time': 1.9011787977069616, 'learning_rate': 2.918207170328081e-06, 'epoch': 36.29}) ]8;id=428129;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=122343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +03/18 [16:29:28] INFO  | >> Step 15000, Loss: {'action_dit_loss': 0.01819739118218422, 'mse_score': 0.0001114345621317625, 'data_time': 0.0001510363072156906, 'model_time': 1.903513717930764, 'learning_rate': 2.8750000000000013e-06, ]8;id=319149;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=516554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'epoch': 36.41})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/checkpoints/steps_15000 +03/18 [16:29:37] INFO  | >> 📊 Saving accessed configuration... ]8;id=563658;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=142254;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#240\240]8;;\ +  INFO  | >> ✅ Configuration files saved ]8;id=995497;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=779238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\ diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/wandb/wandb/run-20260318_082519-ogkdxa4a/files/requirements.txt b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/wandb/wandb/run-20260318_082519-ogkdxa4a/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..33491c4b7fdcd2a21a3c18e0df523fddefb31ef2 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state_fixgripper/wandb/wandb/run-20260318_082519-ogkdxa4a/files/requirements.txt @@ -0,0 +1,154 @@ +starVLA==1.0.1 +kiwisolver==1.4.9 +scipy==1.15.3 +pyarrow==14.0.1 +protobuf==6.33.5 +platformdirs==4.9.4 +mdurl==0.1.2 +Jinja2==3.1.6 +torchvision==0.22.0+cu128 +exceptiongroup==1.3.1 +nvidia-cusparselt-cu12==0.6.3 +markdown-it-py==4.0.0 +timm==1.0.25 +nvidia-nvjitlink-cu12==12.8.61 +urllib3==2.6.3 +numpydantic==1.6.9 +pillow==12.1.1 +json-numpy==2.1.1 +fastparquet==2024.11.0 +contourpy==1.3.2 +tensorboard-data-server==0.7.2 +albumentations==1.4.18 +deepspeed==0.16.9 +ImageIO==2.37.2 +huggingface_hub==0.36.2 +hjson==3.1.0 +tqdm==4.67.3 +idna==3.11 +packaging==25.0 +python-dateutil==2.9.0.post0 +annotated-types==0.7.0 +regex==2026.2.28 +snntorch==0.9.4 +cramjam==2.11.0 +importlib_metadata==8.7.1 +torch==2.7.0+cu128 +yacs==0.1.8 +msgpack==1.1.2 +h11==0.16.0 +nvidia-cuda-runtime-cu12==12.8.57 +typing_extensions==4.15.0 +scikit-image==0.25.2 +mpmath==1.3.0 +einops==0.8.2 +wandb==0.25.0 +anyio==4.12.1 +flash_attn==2.7.4.post1 +websockets==15.0.1 +requests==2.32.5 +accelerate==1.5.2 +nvidia-cuda-cupti-cu12==12.8.57 +nvidia-cuda-nvrtc-cu12==12.8.61 +PyYAML==6.0.3 +absl-py==2.4.0 +httpx==0.28.1 +pipablepytorch3d==0.7.6 +nvidia-cublas-cu12==12.8.3.14 +decord==0.6.0 +ninja==1.13.0 +albucore==0.0.17 +pyparsing==3.3.2 +triton==3.3.0 +Markdown==3.10.2 +Pygments==2.19.2 +pydantic==2.10.6 +tabulate==0.10.0 +termcolor==3.3.0 +zipp==3.23.0 +Werkzeug==3.1.6 +sympy==1.14.0 +debugpy==1.8.20 +certifi==2026.2.25 +websocket==0.2.1 +fonttools==4.61.1 +transformers==4.57.0 +av==12.3.0 +transformers-stream-generator==0.0.4 +nvidia-cudnn-cu12==9.7.1.26 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