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0000000000000000000000000000000000000000..95405a693e62d1109372e0dd47f7df46fd318740 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/checkpoints/steps_5000_pytorch_model.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:416f8d3cf0c7bd8dd9b303a58d84137ebb0a7c2a76291e27157f9b72ca21f5e8 +size 12492715921 diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/config.yaml b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b2029a6b22d8dc00063cbcc68fba635d4d5494a8 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/config.yaml @@ -0,0 +1,79 @@ +datasets: + vla_data: + action_mode: abs + data_mix: fastumi_pickandplace_ur5_0314 + 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 +run_id: fastumi_pickandplace_discrete_diffusion_real_0314_no_state +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/dataset_statistics.json b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/dataset_statistics.json new file mode 100644 index 0000000000000000000000000000000000000000..4f42cf878a30ce6cae214812c811a9ad6cce17b9 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"1": + - 1 + - 11 + - 41 + - 49 + - 63 + - 71 + - 80 + - 83 + "2": + - 1 + - 11 + - 41 + - 49 + - 63 + - 71 + - 80 + - 83 + "3": + - 2 + - 13 + - 61 + "4": 3.10.19 + "5": 0.25.0 + "6": 4.57.0 + "12": 0.25.0 + "13": linux-x86_64 diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/wandb/wandb/run-20260317_100615-4gprtyxj/files/output.log b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/wandb/wandb/run-20260317_100615-4gprtyxj/files/output.log new file mode 100644 index 0000000000000000000000000000000000000000..647c6c5d0588a50a7dfcc80743ddc4adb07a9885 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/wandb/wandb/run-20260317_100615-4gprtyxj/files/output.log @@ -0,0 +1,1018 @@ +03/17 [10:06:17] 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;;\ + 3%|██▎ | 650/20000 [20:58<10:15:59, 1.91s/it, data_times=0.001, model_times=1.906] +03/17 [10:07:54] INFO  | >> Step 50, Loss: {'action_dit_loss': 4.326414108276367, 'data_time': 0.00020134029909968376, ]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;;\ +  'model_time': 1.910033144056797, 'learning_rate': 1.0000000000000001e-07, 'epoch': 0.12})   +03/17 [10:09:32] INFO  | >> Step 100, Loss: {'action_dit_loss': 2.8587093353271484, 'mse_score': 0.01583433598279953, 'data_time': ]8;id=101414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=376417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0057837781496346, 'model_time': 1.9069204358384013, 'learning_rate': 2.0000000000000002e-07, 'epoch':   +  0.24})   +03/17 [10:11:08] INFO  | >> Step 150, Loss: {'action_dit_loss': 2.4318466186523438, 'data_time': 0.00018082838505506516, ]8;id=846335;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=45561;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.908125570975244, 'learning_rate': 3.0000000000000004e-07, 'epoch': 0.36})   +03/17 [10:12:46] INFO  | >> Step 200, Loss: {'action_dit_loss': 2.349992036819458, 'mse_score': 0.014559029042720795, 'data_time': ]8;id=967096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=396922;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017309794202446938, 'model_time': 1.9120566598139703, 'learning_rate': 4.0000000000000003e-07, 'epoch':   +  0.49})   +03/17 [10:14:21] INFO  | >> Step 250, Loss: {'action_dit_loss': 2.358379364013672, 'data_time': 0.005654712673276663, ]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;;\ +  'model_time': 1.905730424914509, 'learning_rate': 5.000000000000001e-07, 'epoch': 0.61})   +03/17 [10:15:59] INFO  | >> Step 300, Loss: {'action_dit_loss': 2.2220587730407715, 'mse_score': 0.01758095920085907, 'data_time': ]8;id=201629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=738797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017596781253814697, 'model_time': 1.9058274142444134, 'learning_rate': 6.000000000000001e-07, 'epoch':   +  0.73})   +03/17 [10:17:35] INFO  | >> Step 350, Loss: {'action_dit_loss': 1.8966270685195923, 'data_time': 0.00018657883629202843, ]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;;\ +  'model_time': 1.9080565529875457, 'learning_rate': 7.000000000000001e-07, 'epoch': 0.85})   +03/17 [10:19:12] INFO  | >> Step 400, Loss: {'action_dit_loss': 1.944826364517212, 'mse_score': 0.016008302569389343, 'data_time': ]8;id=105907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=398591;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017621880397200584, 'model_time': 1.9082145020365715, 'learning_rate': 8.000000000000001e-07, 'epoch':   +  0.97})   +03/17 [10:20:49] INFO  | >> Step 450, Loss: {'action_dit_loss': 2.0930557250976562, 'data_time': 0.00017953896895051003, ]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;;\ +  'model_time': 1.913570186123252, 'learning_rate': 9.000000000000001e-07, 'epoch': 1.09})   +03/17 [10:22:27] INFO  | >> Step 500, Loss: {'action_dit_loss': 2.207465410232544, 'mse_score': 0.016148774325847624, 'data_time': ]8;id=279946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=735911;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0031359121203422546, 'model_time': 1.9085082756355405, 'learning_rate': 1.0000000000000002e-06, 'epoch':   +  1.21})   +03/17 [10:24:02] INFO  | >> Step 550, Loss: {'action_dit_loss': 1.6634278297424316, 'data_time': 0.00017049023881554604, ]8;id=638720;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=665822;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.905022356659174, 'learning_rate': 1.1e-06, 'epoch': 1.33})   +03/17 [10:25:40] INFO  | >> Step 600, Loss: {'action_dit_loss': 2.048966407775879, 'mse_score': 0.007623452693223953, 'data_time': ]8;id=171339;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=484714;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.0001838388852775097, 'model_time': 1.9052472468465567, 'learning_rate': 1.2000000000000002e-06, 'epoch':   +  1.46})   +03/17 [10:27:15] INFO  | >> Step 650, Loss: {'action_dit_loss': 1.2122790813446045, 'data_time': 0.0014299731701612473, ]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;;\ +  'model_time': 1.9059056639671326, 'learning_rate': 1.3e-06, 'epoch': 1.58})   +03/17 [10:28:53] INFO  | >> Step 700, Loss: {'action_dit_loss': 1.3427848815917969, 'mse_score': 0.004704081267118454, ]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;;\ +  'data_time': 0.0022709988988935947, 'model_time': 1.9044397650286555, 'learning_rate':   +  1.4000000000000001e-06, 'epoch': 1.7})   +03/17 [10:30:29] INFO  | >> Step 750, Loss: {'action_dit_loss': 1.7421624660491943, 'data_time': 0.00017308024689555168, ]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;;\ +  'model_time': 1.9088186379522085, 'learning_rate': 1.5e-06, 'epoch': 1.82})   +03/17 [10:32:06] INFO  | >> Step 800, Loss: {'action_dit_loss': 1.3978915214538574, 'mse_score': 0.006402638554573059, ]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;;\ +  'data_time': 0.0023505999706685543, 'model_time': 1.906717129983008, 'learning_rate':   +  1.6000000000000001e-06, 'epoch': 1.94})   +03/17 [10:33:43] INFO  | >> Step 850, Loss: {'action_dit_loss': 0.9732477068901062, 'data_time': 0.00016836915165185928, ]8;id=222955;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=687277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9070396884344518, 'learning_rate': 1.7000000000000002e-06, 'epoch': 2.06})   +03/17 [10:35:20] INFO  | >> Step 900, Loss: {'action_dit_loss': 1.605257272720337, 'mse_score': 0.004295491799712181, 'data_time': ]8;id=674079;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=481141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  0.00017831893637776375, 'model_time': 1.9080336159095168, 'learning_rate': 1.8000000000000001e-06, 'epoch':   +  2.18})   +03/17 [10:36:56] INFO  | >> Step 950, Loss: {'action_dit_loss': 1.6456464529037476, 'data_time': 0.0001832502894103527, ]8;id=781177;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=588637;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9059186330996454, 'learning_rate': 1.9000000000000002e-06, 'epoch': 2.31})   +03/17 [10:38:34] INFO  | >> Step 1000, Loss: {'action_dit_loss': 1.1420341730117798, 'mse_score': 0.003478057309985161, ]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;;\ +  'data_time': 0.002242951188236475, 'model_time': 1.9034748165868223, 'learning_rate':   +  2.0000000000000003e-06, 'epoch': 2.43})   +03/17 [10:40:09] INFO  | >> Step 1050, Loss: {'action_dit_loss': 1.0935921669006348, 'data_time': 0.0022319508716464043, ]8;id=145051;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=534277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.906000595074147, 'learning_rate': 2.1000000000000002e-06, 'epoch': 2.55})   +03/17 [10:41:47] INFO  | >> Step 1100, Loss: {'action_dit_loss': 1.4593333005905151, 'mse_score': 0.0037148218601942063, ]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;;\ +  'data_time': 0.0017176331020891666, 'model_time': 1.9075466901995242, 'learning_rate': 2.2e-06, 'epoch':   +  2.67})   +03/17 [10:43:23] INFO  | >> Step 1150, Loss: {'action_dit_loss': 1.586118221282959, 'data_time': 0.0015902831219136715, ]8;id=713536;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=442666;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9054812691174448, 'learning_rate': 2.3000000000000004e-06, 'epoch': 2.79})   +03/17 [10:45:00] INFO  | >> Step 1200, Loss: {'action_dit_loss': 1.1972193717956543, 'mse_score': 0.0033606540411710737, ]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;;\ +  'data_time': 0.0001567937433719635, 'model_time': 1.9070622278377414, 'learning_rate':   +  2.4000000000000003e-06, 'epoch': 2.91})   +03/17 [10:46:37] INFO  | >> Step 1250, Loss: {'action_dit_loss': 1.2804336547851562, 'data_time': 0.00017618434503674507, ]8;id=988210;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=12038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9061664030887187, 'learning_rate': 2.5e-06, 'epoch': 3.03})   +03/17 [10:48:15] INFO  | >> Step 1300, Loss: {'action_dit_loss': 1.1923376321792603, 'mse_score': 0.004775253310799599, ]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;;\ +  'data_time': 0.003764829132705927, 'model_time': 1.9098238409496844, 'learning_rate': 2.6e-06, 'epoch':   +  3.16})   +03/17 [10:49:50] INFO  | >> Step 1350, Loss: {'action_dit_loss': 1.0144524574279785, 'data_time': 0.00018724612891674042, ]8;id=356699;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=116970;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9061443749815226, 'learning_rate': 2.7000000000000004e-06, 'epoch': 3.28})   +03/17 [10:51:28] INFO  | >> Step 1400, Loss: {'action_dit_loss': 1.4991071224212646, 'mse_score': 0.003444014862179756, ]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;;\ +  'data_time': 0.00017238594591617584, 'model_time': 1.9057845380157232, 'learning_rate':   +  2.8000000000000003e-06, 'epoch': 3.4})   +03/17 [10:53:03] INFO  | >> Step 1450, Loss: {'action_dit_loss': 1.4583169221878052, 'data_time': 0.0025557633489370346, ]8;id=798975;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=187330;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9054234372451901, 'learning_rate': 2.9e-06, 'epoch': 3.52})   +03/17 [10:54:41] INFO  | >> Step 1500, Loss: {'action_dit_loss': 1.430474042892456, 'mse_score': 0.005081771314144135, ]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;;\ +  'data_time': 0.005166454706341028, 'model_time': 1.9048876618035138, 'learning_rate': 3e-06, 'epoch':   +  3.64})   +03/17 [10:56:17] INFO  | >> Step 1550, Loss: {'action_dit_loss': 1.397017478942871, 'data_time': 0.0001787068322300911, ]8;id=208573;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=160263;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9055221336893737, 'learning_rate': 3.1000000000000004e-06, 'epoch': 3.76})   +03/17 [10:57:55] INFO  | >> Step 1600, Loss: {'action_dit_loss': 1.155071496963501, 'mse_score': 0.005027920752763748, ]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;;\ +  'data_time': 0.0001670881174504757, 'model_time': 1.907185337971896, 'learning_rate':   +  3.2000000000000003e-06, 'epoch': 3.88})   +03/17 [10:59:32] INFO  | >> Step 1650, Loss: {'action_dit_loss': 1.0576608180999756, 'data_time': 0.00017124833539128304, ]8;id=628038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=339902;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.904969452880323, 'learning_rate': 3.3000000000000006e-06, 'epoch': 4.0})   +03/17 [11:01:09] INFO  | >> Step 1700, Loss: {'action_dit_loss': 1.1452195644378662, 'mse_score': 0.004355194047093391, ]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;;\ +  'data_time': 0.0038816751912236214, 'model_time': 1.903830787166953, 'learning_rate':   +  3.4000000000000005e-06, 'epoch': 4.13})   +03/17 [11:02:45] INFO  | >> Step 1750, Loss: {'action_dit_loss': 1.2053918838500977, 'data_time': 0.00018519768491387367, ]8;id=60738;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=252572;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9108753497712314, 'learning_rate': 3.5e-06, 'epoch': 4.25})   +03/17 [11:04:23] INFO  | >> Step 1800, Loss: {'action_dit_loss': 1.3318822383880615, 'mse_score': 0.0025501886382699014, ]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;;\ +  'data_time': 0.0001600491814315319, 'model_time': 1.9103770540095866, 'learning_rate':   +  3.6000000000000003e-06, 'epoch': 4.37})   +03/17 [11:05:58] INFO  | >> Step 1850, Loss: {'action_dit_loss': 1.0213708877563477, 'data_time': 0.0001711980439722538, ]8;id=558582;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=803035;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9113071523606777, 'learning_rate': 3.7e-06, 'epoch': 4.49})   +03/17 [11:07:36] INFO  | >> Step 1900, Loss: {'action_dit_loss': 1.3141164779663086, 'mse_score': 0.004406090080738068, ]8;id=992842;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=576510;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0038755428977310658, 'model_time': 1.9129007179290056, 'learning_rate':   +  3.8000000000000005e-06, 'epoch': 4.61})   +03/17 [11:09:11] INFO  | >> Step 1950, Loss: {'action_dit_loss': 1.264326572418213, 'data_time': 0.00016798870638012886, ]8;id=636059;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=443692;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9071258609183133, 'learning_rate': 3.900000000000001e-06, 'epoch': 4.73})   +03/17 [11:10:49] INFO  | >> Step 2000, Loss: {'action_dit_loss': 0.9934084415435791, 'mse_score': 0.003627392649650574, ]8;id=765388;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=723378;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017824815586209297, 'model_time': 1.9077946157194674, 'learning_rate':   +  4.000000000000001e-06, 'epoch': 4.85})   +03/17 [11:12:26] INFO  | >> Step 2050, Loss: {'action_dit_loss': 1.3026695251464844, 'data_time': 0.00016816891729831696, ]8;id=704314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=681446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9059880152344704, 'learning_rate': 4.1e-06, 'epoch': 4.98})   +03/17 [11:14:04] INFO  | >> Step 2100, Loss: {'action_dit_loss': 1.2807538509368896, 'mse_score': 0.0047108840197324755, ]8;id=473417;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=126882;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.003223252948373556, 'model_time': 1.9063845230266452, 'learning_rate':   +  4.2000000000000004e-06, 'epoch': 5.1})   +03/17 [11:15:39] INFO  | >> Step 2150, Loss: {'action_dit_loss': 1.2932603359222412, 'data_time': 0.0001748986542224884, ]8;id=22056;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=616886;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9084713882766664, 'learning_rate': 4.3e-06, 'epoch': 5.22})   +03/17 [11:17:17] INFO  | >> Step 2200, Loss: {'action_dit_loss': 1.4482771158218384, 'mse_score': 0.0032424826174974443, ]8;id=7540;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=74441;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014853570610284805, 'model_time': 1.9040749878622591, 'learning_rate': 4.4e-06, 'epoch':   +  5.34})   +03/17 [11:18:52] INFO  | >> Step 2250, Loss: {'action_dit_loss': 1.485001802444458, 'data_time': 0.0033022528514266014, ]8;id=70674;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=949401;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.907659444026649, 'learning_rate': 4.5e-06, 'epoch': 5.46})   +03/17 [11:20:30] INFO  | >> Step 2300, Loss: {'action_dit_loss': 1.0759921073913574, 'mse_score': 0.002868782542645931, ]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;;\ +  'data_time': 0.00016022007912397385, 'model_time': 1.9070167019963264, 'learning_rate':   +  4.600000000000001e-06, 'epoch': 5.58})   +03/17 [11:22:06] INFO  | >> Step 2350, Loss: {'action_dit_loss': 1.2717673778533936, 'data_time': 0.00016989000141620636, ]8;id=565427;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=138739;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9156085881404579, 'learning_rate': 4.7e-06, 'epoch': 5.7})   +03/17 [11:23:43] INFO  | >> Step 2400, Loss: {'action_dit_loss': 1.0949879884719849, 'mse_score': 0.0031164947897195814, ]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;;\ +  'data_time': 0.00017368001863360405, 'model_time': 1.9091068981215358, 'learning_rate':   +  4.800000000000001e-06, 'epoch': 5.83})   +03/17 [11:25:20] INFO  | >> Step 2450, Loss: {'action_dit_loss': 1.3484580516815186, 'data_time': 0.0001784488558769226, ]8;id=426833;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=199659;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9107600497081876, 'learning_rate': 4.9000000000000005e-06, 'epoch': 5.95})   +03/17 [11:26:58] INFO  | >> Step 2500, Loss: {'action_dit_loss': 1.0772857666015625, 'mse_score': 0.0028589848428964616, ]8;id=371507;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=444154;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00404494721442461, 'model_time': 1.9070615228265524, 'learning_rate': 5e-06, 'epoch': 6.07})   +03/17 [11:28:33] INFO  | >> Step 2550, Loss: {'action_dit_loss': 1.5682518482208252, 'data_time': 0.0001551690511405468, ]8;id=56802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=706073;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9089809912256896, 'learning_rate': 5.1e-06, 'epoch': 6.19})   +03/17 [11:30:11] INFO  | >> Step 2600, Loss: {'action_dit_loss': 1.5469474792480469, 'mse_score': 0.004552456364035606, ]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;;\ +  'data_time': 0.00015932880342006683, 'model_time': 1.9094670452177525, 'learning_rate': 5.2e-06, 'epoch':   +  6.31})   +03/17 [11:31:47] INFO  | >> Step 2650, Loss: {'action_dit_loss': 0.8148665428161621, 'data_time': 0.0033006053417921066, ]8;id=260735;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=200896;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9065184951759875, 'learning_rate': 5.300000000000001e-06, 'epoch': 6.43})   +03/17 [11:33:24] INFO  | >> Step 2700, Loss: {'action_dit_loss': 1.12959885597229, 'mse_score': 0.0023299528285861014, ]8;id=442374;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=192401;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.001424663234502077, 'model_time': 1.9093401040881872, 'learning_rate':   +  5.400000000000001e-06, 'epoch': 6.55})   +03/17 [11:35:00] INFO  | >> Step 2750, Loss: {'action_dit_loss': 1.4378540515899658, 'data_time': 0.00016417913138866425, ]8;id=968114;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=79046;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9075908102095127, 'learning_rate': 5.500000000000001e-06, 'epoch': 6.67})   +03/17 [11:36:38] INFO  | >> Step 2800, Loss: {'action_dit_loss': 1.2761389017105103, 'mse_score': 0.0024018978700041773, ]8;id=577057;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=102664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017778901383280754, 'model_time': 1.904153836891055, 'learning_rate':   +  5.600000000000001e-06, 'epoch': 6.8})   +03/17 [11:38:13] INFO  | >> Step 2850, Loss: {'action_dit_loss': 1.1793842315673828, 'data_time': 0.002136897761374712, ]8;id=15474;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=97793;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9064818019978702, 'learning_rate': 5.7e-06, 'epoch': 6.92})   +03/17 [11:39:52] INFO  | >> Step 2900, Loss: {'action_dit_loss': 0.8773062229156494, 'mse_score': 0.0035289958119392394, ]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;;\ +  'data_time': 0.001735449768602848, 'model_time': 1.9055711110122502, 'learning_rate': 5.8e-06, 'epoch':   +  7.04})   +03/17 [11:41:28] INFO  | >> Step 2950, Loss: {'action_dit_loss': 0.909421443939209, 'data_time': 0.0001592487096786499, ]8;id=420521;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=946279;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9080057060346007, 'learning_rate': 5.9e-06, 'epoch': 7.16})   +03/17 [11:43:05] INFO  | >> Step 3000, Loss: {'action_dit_loss': 1.2397648096084595, 'mse_score': 0.0024330507963895797, ]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;;\ +  'data_time': 0.00239606574177742, 'model_time': 1.9038914521224797, 'learning_rate': 6e-06, 'epoch': 7.28})   +03/17 [11:44:41] INFO  | >> Step 3050, Loss: {'action_dit_loss': 1.1210405826568604, 'data_time': 0.00016997894272208214, ]8;id=299105;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=443555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9072112799622118, 'learning_rate': 6.1e-06, 'epoch': 7.4})   +03/17 [11:46:19] INFO  | >> Step 3100, Loss: {'action_dit_loss': 0.8854676485061646, 'mse_score': 0.003395896777510643, ]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;;\ +  'data_time': 0.0022378358989953995, 'model_time': 1.9100915999151766, 'learning_rate':   +  6.200000000000001e-06, 'epoch': 7.52})   +03/17 [11:47:54] INFO  | >> Step 3150, Loss: {'action_dit_loss': 1.4642843008041382, 'data_time': 0.002486614976078272, ]8;id=228275;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=61324;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9057167619466782, 'learning_rate': 6.300000000000001e-06, 'epoch': 7.65})   +03/17 [11:49:33] INFO  | >> Step 3200, Loss: {'action_dit_loss': 1.0664465427398682, 'mse_score': 0.0034034378826618195, ]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;;\ +  'data_time': 0.0014949408359825611, 'model_time': 1.9084515213035047, 'learning_rate':   +  6.4000000000000006e-06, 'epoch': 7.77})   +03/17 [11:51:08] INFO  | >> Step 3250, Loss: {'action_dit_loss': 1.0889357328414917, 'data_time': 0.001566070131957531, ]8;id=527276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=964047;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9093899740837514, 'learning_rate': 6.5000000000000004e-06, 'epoch': 7.89})   +03/17 [11:52:47] INFO  | >> Step 3300, Loss: {'action_dit_loss': 0.5971474051475525, 'mse_score': 0.0028344133868813516, ]8;id=532496;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=84002;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0031153401359915733, 'model_time': 1.9094015560112894, 'learning_rate':   +  6.600000000000001e-06, 'epoch': 8.01})   +03/17 [11:54:23] INFO  | >> Step 3350, Loss: {'action_dit_loss': 0.9482446908950806, 'data_time': 0.00016329064965248108, ]8;id=71262;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=708011;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9101950018666685, 'learning_rate': 6.700000000000001e-06, 'epoch': 8.13})   +03/17 [11:56:00] INFO  | >> Step 3400, Loss: {'action_dit_loss': 1.3739734888076782, 'mse_score': 0.005846685916185379, ]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;;\ +  'data_time': 0.0001692012883722782, 'model_time': 1.9071597661823034, 'learning_rate':   +  6.800000000000001e-06, 'epoch': 8.25})   +03/17 [11:57:37] INFO  | >> Step 3450, Loss: {'action_dit_loss': 1.2776756286621094, 'data_time': 0.003175297286361456, ]8;id=41672;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=649468;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9063475141301751, 'learning_rate': 6.9e-06, 'epoch': 8.37})   +03/17 [11:59:14] INFO  | >> Step 3500, Loss: {'action_dit_loss': 0.9344796538352966, 'mse_score': 0.0018915550783276558, ]8;id=592683;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=548177;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015582004562020302, 'model_time': 1.9083239468745887, 'learning_rate': 7e-06, 'epoch':   +  8.5})   +03/17 [12:00:50] INFO  | >> Step 3550, Loss: {'action_dit_loss': 1.0907163619995117, 'data_time': 0.0001741698943078518, ]8;id=702258;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=750981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9072176329791546, 'learning_rate': 7.100000000000001e-06, 'epoch': 8.62})   +03/17 [12:02:28] INFO  | >> Step 3600, Loss: {'action_dit_loss': 1.2078609466552734, 'mse_score': 0.002777881734073162, ]8;id=137235;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=704318;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.000167780090123415, 'model_time': 1.9101700000464916, 'learning_rate':   +  7.2000000000000005e-06, 'epoch': 8.74})   +03/17 [12:04:03] INFO  | >> Step 3650, Loss: {'action_dit_loss': 1.4810020923614502, 'data_time': 0.0013960483483970165, ]8;id=974146;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=788387;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.906964624300599, 'learning_rate': 7.3e-06, 'epoch': 8.86})   +03/17 [12:05:42] INFO  | >> Step 3700, Loss: {'action_dit_loss': 1.1374449729919434, 'mse_score': 0.0021254364401102066, ]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;;\ +  'data_time': 0.003358582966029644, 'model_time': 1.9072781400755048, 'learning_rate': 7.4e-06, 'epoch':   +  8.98})   +03/17 [12:07:18] INFO  | >> Step 3750, Loss: {'action_dit_loss': 1.1871068477630615, 'data_time': 0.00016345875337719917, ]8;id=530458;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=278082;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9074327368289232, 'learning_rate': 7.500000000000001e-06, 'epoch': 9.1})   +03/17 [12:08:56] INFO  | >> Step 3800, Loss: {'action_dit_loss': 0.9784318208694458, 'mse_score': 0.002519018203020096, ]8;id=72132;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=921981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001684599556028843, 'model_time': 1.9076336221769452, 'learning_rate':   +  7.600000000000001e-06, 'epoch': 9.22})   +03/17 [12:10:32] INFO  | >> Step 3850, Loss: {'action_dit_loss': 1.1066491603851318, 'data_time': 0.003961187321692705, ]8;id=459469;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=874244;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 2.1741629447788, 'learning_rate': 7.7e-06, 'epoch': 9.34})   +03/17 [12:12:09] INFO  | >> Step 3900, Loss: {'action_dit_loss': 1.113806962966919, 'mse_score': 0.0031859029084444048, ]8;id=846305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=685743;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016272906213998795, 'model_time': 1.90710279205814, 'learning_rate':   +  7.800000000000002e-06, 'epoch': 9.47})   +03/17 [12:13:45] INFO  | >> Step 3950, Loss: {'action_dit_loss': 1.1851599216461182, 'data_time': 0.001429304014891386, ]8;id=581542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=313921;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.905532377306372, 'learning_rate': 7.9e-06, 'epoch': 9.59})   +03/17 [12:15:23] INFO  | >> Step 4000, Loss: {'action_dit_loss': 1.1186130046844482, 'mse_score': 0.0022530578076839446, ]8;id=920782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=140814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00019165873527526855, 'model_time': 1.9110234039835632, 'learning_rate':   +  8.000000000000001e-06, 'epoch': 9.71})   +03/17 [12:16:58] INFO  | >> Step 4050, Loss: {'action_dit_loss': 1.3147847652435303, 'data_time': 0.00016496889293193817, ]8;id=778480;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=580097;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9068959630094469, 'learning_rate': 8.1e-06, 'epoch': 9.83})   +03/17 [12:18:37] INFO  | >> Step 4100, Loss: {'action_dit_loss': 0.9107838273048401, 'mse_score': 0.0034106675535440444, ]8;id=220861;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=752470;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.004977768287062645, 'model_time': 1.9089480391703546, 'learning_rate': 8.2e-06, 'epoch':   +  9.95})   +03/17 [12:20:13] INFO  | >> Step 4150, Loss: {'action_dit_loss': 0.9614883661270142, 'data_time': 0.00017182016745209694, ]8;id=894343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=276807;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9123127250932157, 'learning_rate': 8.3e-06, 'epoch': 10.07})   +03/17 [12:21:51] INFO  | >> Step 4200, Loss: {'action_dit_loss': 1.1612753868103027, 'mse_score': 0.004179249331355095, ]8;id=952273;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=887204;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017580902203917503, 'model_time': 1.907653046771884, 'learning_rate':   +  8.400000000000001e-06, 'epoch': 10.19})   +03/17 [12:23:26] INFO  | >> Step 4250, Loss: {'action_dit_loss': 0.9454180002212524, 'data_time': 0.003961531911045313, ]8;id=869634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=290120;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9077713210135698, 'learning_rate': 8.5e-06, 'epoch': 10.32})   +03/17 [12:25:04] INFO  | >> Step 4300, Loss: {'action_dit_loss': 1.1493977308273315, 'mse_score': 0.0015943946316838264, ]8;id=137174;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=668061;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016156909987330437, 'model_time': 1.9056379916146398, 'learning_rate': 8.6e-06, 'epoch':   +  10.44})   +03/17 [12:26:40] INFO  | >> Step 4350, Loss: {'action_dit_loss': 1.4419845342636108, 'data_time': 0.0001643090508878231, ]8;id=578478;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=739945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9086459460668266, 'learning_rate': 8.700000000000001e-06, 'epoch': 10.56})   +03/17 [12:28:17] INFO  | >> Step 4400, Loss: {'action_dit_loss': 0.8775332570075989, 'mse_score': 0.0017610710114240647, ]8;id=78898;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=990957;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00018203910440206528, 'model_time': 1.9115632069297135, 'learning_rate': 8.8e-06, 'epoch':   +  10.68})   +03/17 [12:29:53] INFO  | >> Step 4450, Loss: {'action_dit_loss': 1.064875602722168, 'data_time': 0.0014978479593992233, ]8;id=572092;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=37778;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.909264026209712, 'learning_rate': 8.900000000000001e-06, 'epoch': 10.8})   +03/17 [12:31:32] INFO  | >> Step 4500, Loss: {'action_dit_loss': 0.8785368204116821, 'mse_score': 0.002723354287445545, ]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;;\ +  'data_time': 0.004422345664352179, 'model_time': 1.9058455298654735, 'learning_rate': 9e-06, 'epoch':   +  10.92})   +03/17 [12:33:08] INFO  | >> Step 4550, Loss: {'action_dit_loss': 1.1872326135635376, 'data_time': 0.00017148861661553383, ]8;id=942650;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=978413;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9084331602789462, 'learning_rate': 9.100000000000001e-06, 'epoch': 11.04})   +03/17 [12:34:46] INFO  | >> Step 4600, Loss: {'action_dit_loss': 1.0665565729141235, 'mse_score': 0.0020350944250822067, ]8;id=375190;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=220281;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016671791672706604, 'model_time': 1.9089052425697446, 'learning_rate':   +  9.200000000000002e-06, 'epoch': 11.17})   +03/17 [12:36:21] INFO  | >> Step 4650, Loss: {'action_dit_loss': 1.0060827732086182, 'data_time': 0.00016571814194321632, ]8;id=370858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=818011;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9084513699635863, 'learning_rate': 9.3e-06, 'epoch': 11.29})   +03/17 [12:37:59] INFO  | >> Step 4700, Loss: {'action_dit_loss': 0.7247066497802734, 'mse_score': 0.0011838424019515515, ]8;id=650810;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=785884;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014825002290308475, 'model_time': 1.9088931567966938, 'learning_rate': 9.4e-06, 'epoch':   +  11.41})   +03/17 [12:39:35] INFO  | >> Step 4750, Loss: {'action_dit_loss': 0.6837553977966309, 'data_time': 0.0024020448327064514, ]8;id=906604;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=170395;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9054348729550838, 'learning_rate': 9.5e-06, 'epoch': 11.53})   +03/17 [12:41:12] INFO  | >> Step 4800, Loss: {'action_dit_loss': 0.8749788999557495, 'mse_score': 0.0016151897609233857, ]8;id=432322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=25990;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017417920753359795, 'model_time': 1.9116913001053035, 'learning_rate':   +  9.600000000000001e-06, 'epoch': 11.65})   +03/17 [12:42:49] INFO  | >> Step 4850, Loss: {'action_dit_loss': 0.8551899194717407, 'data_time': 0.00016724877059459686, ]8;id=820391;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=976031;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.906436972785741, 'learning_rate': 9.7e-06, 'epoch': 11.77})   +03/17 [12:44:27] INFO  | >> Step 4900, Loss: {'action_dit_loss': 1.0720264911651611, 'mse_score': 0.003973745182156563, ]8;id=770763;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=850132;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.003741626627743244, 'model_time': 1.911447653081268, 'learning_rate': 9.800000000000001e-06,   +  'epoch': 11.89})   +03/17 [12:46:03] INFO  | >> Step 4950, Loss: {'action_dit_loss': 0.9085005521774292, 'data_time': 0.00018192920833826065, ]8;id=735343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=113346;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9060878078453243, 'learning_rate': 9.9e-06, 'epoch': 12.01})   +03/17 [12:47:40] INFO  | >> Step 5000, Loss: {'action_dit_loss': 1.0630072355270386, 'mse_score': 0.003625490516424179, ]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;;\ +  'data_time': 0.0016765212640166283, 'model_time': 1.9061268023215234, 'learning_rate': 1e-05, 'epoch':   +  12.14})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/checkpoints/steps_5000 +03/17 [12:47:49] 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;;\ +03/17 [12:49:25] INFO  | >> Step 5050, Loss: {'action_dit_loss': 0.8385456800460815, 'data_time': 0.0038514169864356518, ]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;;\ +  'model_time': 1.906537914648652, 'learning_rate': 9.999739554486184e-06, 'epoch': 12.26})   +03/17 [12:51:02] INFO  | >> Step 5100, Loss: {'action_dit_loss': 1.2841002941131592, 'mse_score': 0.0014780981466174126, ]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;;\ +  'data_time': 0.0001729191280901432, 'model_time': 1.9106043200008571, 'learning_rate':   +  9.998958246505518e-06, 'epoch': 12.38})   +03/17 [12:52:39] INFO  | >> Step 5150, Loss: {'action_dit_loss': 1.254529595375061, 'data_time': 0.00016654888167977333, ]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;;\ +  'model_time': 1.9088775250129402, 'learning_rate': 9.997656161737227e-06, 'epoch': 12.5})   +03/17 [12:54:16] INFO  | >> Step 5200, Loss: {'action_dit_loss': 0.7698017358779907, 'mse_score': 0.0009698931127786637, ]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;;\ +  'data_time': 0.00017698900774121284, 'model_time': 1.907874593976885, 'learning_rate':   +  9.995833442969578e-06, 'epoch': 12.62})   +03/17 [12:55:52] INFO  | >> Step 5250, Loss: {'action_dit_loss': 0.873708963394165, 'data_time': 0.00016624899581074715, ]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;;\ +  'model_time': 1.9082277277484536, 'learning_rate': 9.993490290084225e-06, 'epoch': 12.74})   +03/17 [12:57:30] INFO  | >> Step 5300, Loss: {'action_dit_loss': 0.8754996657371521, 'mse_score': 0.004045641794800758, ]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;;\ +  'data_time': 0.002251537051051855, 'model_time': 1.9032015819102526, 'learning_rate':   +  9.990626960034291e-06, 'epoch': 12.86})   +03/17 [12:59:07] INFO  | >> Step 5350, Loss: {'action_dit_loss': 0.8608019351959229, 'data_time': 0.00015296880155801773, ]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;;\ +  'model_time': 1.9051631828770041, 'learning_rate': 9.987243766816175e-06, 'epoch': 12.99})   +03/17 [13:00:45] INFO  | >> Step 5400, Loss: {'action_dit_loss': 1.1747382879257202, 'mse_score': 0.0034558232873678207, ]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;;\ +  'data_time': 0.0024718958884477615, 'model_time': 1.905810794327408, 'learning_rate':   +  9.983341081435145e-06, 'epoch': 13.11})   +03/17 [13:02:21] INFO  | >> Step 5450, Loss: {'action_dit_loss': 1.0241172313690186, 'data_time': 0.09035786194726825, ]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;;\ +  'model_time': 1.9428000967018306, 'learning_rate': 9.978919331864631e-06, 'epoch': 13.23})   +03/17 [13:03:58] INFO  | >> Step 5500, Loss: {'action_dit_loss': 1.0785270929336548, 'mse_score': 0.002167654410004616, ]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;;\ +  'data_time': 0.0026322128251194954, 'model_time': 1.9097052537836134, 'learning_rate':   +  9.973979002999299e-06, 'epoch': 13.35})   +03/17 [13:05:34] INFO  | >> Step 5550, Loss: {'action_dit_loss': 1.232130765914917, 'data_time': 0.002395469695329666, ]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;;\ +  'model_time': 1.9043725267983973, 'learning_rate': 9.968520636601883e-06, 'epoch': 13.47})   +03/17 [13:07:12] INFO  | >> Step 5600, Loss: {'action_dit_loss': 1.044060468673706, 'mse_score': 0.0009717273525893689, ]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;;\ +  'data_time': 0.0001789000816643238, 'model_time': 1.907332506030798, 'learning_rate': 9.96254483124377e-06,   +  'epoch': 13.59})   +03/17 [13:08:47] INFO  | >> Step 5650, Loss: {'action_dit_loss': 1.040657877922058, 'data_time': 0.0025719860568642616, ]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;;\ +  'model_time': 1.9081569188274443, 'learning_rate': 9.956052242239358e-06, 'epoch': 13.71})   +03/17 [13:10:25] INFO  | >> Step 5700, Loss: {'action_dit_loss': 0.7765682935714722, 'mse_score': 0.002091691642999649, ]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;;\ +  'data_time': 0.00016326876357197762, 'model_time': 1.9072154290042818, 'learning_rate':   +  9.949043581574196e-06, 'epoch': 13.83})   +03/17 [13:12:02] INFO  | >> Step 5750, Loss: {'action_dit_loss': 0.9114163517951965, 'data_time': 0.0001727198250591755, ]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;;\ +  'model_time': 1.9103784109465778, 'learning_rate': 9.941519617826906e-06, 'epoch': 13.96})   +03/17 [13:13:40] INFO  | >> Step 5800, Loss: {'action_dit_loss': 1.053709626197815, 'mse_score': 0.0023985259234905244, ]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;;\ +  'data_time': 0.002466693054884672, 'model_time': 1.9088940108194947, 'learning_rate':   +  9.933481176084899e-06, 'epoch': 14.08})   +03/17 [13:15:16] INFO  | >> Step 5850, Loss: {'action_dit_loss': 0.8241838812828064, 'data_time': 0.0023215231485664845, ]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;;\ +  'model_time': 1.91123564587906, 'learning_rate': 9.924929137853899e-06, 'epoch': 14.2})   +03/17 [13:16:53] INFO  | >> Step 5900, Loss: {'action_dit_loss': 0.82439786195755, 'mse_score': 0.002695680409669876, 'data_time': ]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;;\ +  0.0001917099580168724, 'model_time': 1.9093783753924072, 'learning_rate': 9.915864440961272e-06, 'epoch':   +  14.32})   +03/17 [13:18:29] INFO  | >> Step 5950, Loss: {'action_dit_loss': 0.8938900232315063, 'data_time': 0.002415470778942108, ]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;;\ +  'model_time': 1.9070494486950338, 'learning_rate': 9.90628807945318e-06, 'epoch': 14.44})   +03/17 [13:20:07] INFO  | >> Step 6000, Loss: {'action_dit_loss': 0.8788093328475952, 'mse_score': 0.0012021947652101517, ]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;;\ +  'data_time': 0.00019830884411931038, 'model_time': 1.9090604051016271, 'learning_rate':   +  9.896201103485577e-06, 'epoch': 14.56})   +03/17 [13:21:43] INFO  | >> Step 6050, Loss: {'action_dit_loss': 0.9932434558868408, 'data_time': 0.0014454340562224388, ]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;;\ +  'model_time': 1.9099544961936772, 'learning_rate': 9.885604619209052e-06, 'epoch': 14.68})   +03/17 [13:23:20] INFO  | >> Step 6100, Loss: {'action_dit_loss': 0.826833188533783, 'mse_score': 0.004097510129213333, ]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;;\ +  'data_time': 0.002509038895368576, 'model_time': 1.9068533848039806, 'learning_rate':   +  9.874499788647512e-06, 'epoch': 14.81})   +03/17 [13:24:57] INFO  | >> Step 6150, Loss: {'action_dit_loss': 0.7692424058914185, 'data_time': 0.000171709805727005, ]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;;\ +  'model_time': 1.9053478497080505, 'learning_rate': 9.862887829570771e-06, 'epoch': 14.93})   +03/17 [13:26:35] INFO  | >> Step 6200, Loss: {'action_dit_loss': 0.6593888401985168, 'mse_score': 0.001173663977533579, ]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;;\ +  'data_time': 0.0015967627987265587, 'model_time': 1.9072508700191975, 'learning_rate':   +  9.850770015360999e-06, 'epoch': 15.05})   +03/17 [13:28:11] INFO  | >> Step 6250, Loss: {'action_dit_loss': 0.72260582447052, 'data_time': 0.002435678616166115, ]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;;\ +  'model_time': 1.9070557611994445, 'learning_rate': 9.838147674873076e-06, 'epoch': 15.17})   +03/17 [13:29:48] INFO  | >> Step 6300, Loss: {'action_dit_loss': 0.9834559559822083, 'mse_score': 0.0017359482124447822, ]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;;\ +  'data_time': 0.0001708492636680603, 'model_time': 1.9117122157476842, 'learning_rate':   +  9.825022192288878e-06, 'epoch': 15.29})   +03/17 [13:31:24] INFO  | >> Step 6350, Loss: {'action_dit_loss': 1.186683177947998, 'data_time': 0.0015821531414985657, ]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;;\ +  'model_time': 1.9082509027794003, 'learning_rate': 9.811395006965481e-06, 'epoch': 15.41})   +03/17 [13:33:02] INFO  | >> Step 6400, Loss: {'action_dit_loss': 0.8793475031852722, 'mse_score': 0.0015492654405534268, ]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;;\ +  'data_time': 0.00017740903422236443, 'model_time': 1.9058759808540344, 'learning_rate':   +  9.797267613277319e-06, 'epoch': 15.53})   +03/17 [13:34:37] INFO  | >> Step 6450, Loss: {'action_dit_loss': 0.9793155789375305, 'data_time': 0.00015863031148910522, ]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;;\ +  'model_time': 1.907630712725222, 'learning_rate': 9.782641560452317e-06, 'epoch': 15.66})   +03/17 [13:36:16] INFO  | >> Step 6500, Loss: {'action_dit_loss': 0.5922771692276001, 'mse_score': 0.001795066148042679, ]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;;\ +  'data_time': 0.0024998090229928493, 'model_time': 1.9063822692260146, 'learning_rate':   +  9.767518452401981e-06, 'epoch': 15.78})   +03/17 [13:37:52] INFO  | >> Step 6550, Loss: {'action_dit_loss': 0.8441979885101318, 'data_time': 0.00016519706696271896, ]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;;\ +  'model_time': 1.90706235030666, 'learning_rate': 9.751899947545534e-06, 'epoch': 15.9})   +03/17 [13:39:30] INFO  | >> Step 6600, Loss: {'action_dit_loss': 0.9129745960235596, 'mse_score': 0.0013560149818658829, ]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;;\ +  'data_time': 0.003137608990073204, 'model_time': 1.9059512950479984, 'learning_rate':   +  9.735787758628036e-06, 'epoch': 16.02})   +03/17 [13:41:06] INFO  | >> Step 6650, Loss: {'action_dit_loss': 0.6836488842964172, 'data_time': 0.0022581368684768677, ]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;;\ +  'model_time': 1.904723506886512, 'learning_rate': 9.719183652532572e-06, 'epoch': 16.14})   +03/17 [13:42:43] INFO  | >> Step 6700, Loss: {'action_dit_loss': 0.8327869176864624, 'mse_score': 0.0011732389219105243, ]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;;\ +  'data_time': 0.0001724669709801674, 'model_time': 1.9109386950731277, 'learning_rate':   +  9.702089450086486e-06, 'epoch': 16.26})   +03/17 [13:44:19] INFO  | >> Step 6750, Loss: {'action_dit_loss': 0.8079640865325928, 'data_time': 0.0014610020443797112, ]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;;\ +  'model_time': 1.9057418201118708, 'learning_rate': 9.68450702586171e-06, 'epoch': 16.38})   +03/17 [13:45:57] INFO  | >> Step 6800, Loss: {'action_dit_loss': 0.8131515979766846, 'mse_score': 0.002460361085832119, ]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;;\ +  'data_time': 0.002557652071118355, 'model_time': 1.9073250689543784, 'learning_rate':   +  9.666438307969194e-06, 'epoch': 16.5})   +03/17 [13:47:33] INFO  | >> Step 6850, Loss: {'action_dit_loss': 0.9365631937980652, 'data_time': 0.00016329903155565262, ]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;;\ +  'model_time': 1.9117950182408094, 'learning_rate': 9.647885277847476e-06, 'epoch': 16.63})   +03/17 [13:49:10] INFO  | >> Step 6900, Loss: {'action_dit_loss': 0.7741374969482422, 'mse_score': 0.0023408712819218635, ]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;;\ +  'data_time': 0.002559254877269268, 'model_time': 1.9067532229237258, 'learning_rate':   +  9.628849970045378e-06, 'epoch': 16.75})   +03/17 [13:50:47] INFO  | >> Step 6950, Loss: {'action_dit_loss': 0.6447898149490356, 'data_time': 0.0001741577871143818, ]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;;\ +  'model_time': 1.911652697250247, 'learning_rate': 9.609334471998911e-06, 'epoch': 16.87})   +03/17 [13:52:25] INFO  | >> Step 7000, Loss: {'action_dit_loss': 0.7372183799743652, 'mse_score': 0.002619136869907379, ]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;;\ +  'data_time': 0.0001627989113330841, 'model_time': 1.9085569470189512, 'learning_rate':   +  9.589340923802355e-06, 'epoch': 16.99})   +03/17 [13:54:01] INFO  | >> Step 7050, Loss: {'action_dit_loss': 0.9878252744674683, 'data_time': 0.004323274362832308, ]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;;\ +  'model_time': 1.9084950690157712, 'learning_rate': 9.568871517973576e-06, 'epoch': 17.11})   +03/17 [13:55:38] INFO  | >> Step 7100, Loss: {'action_dit_loss': 0.6567622423171997, 'mse_score': 0.0013779435306787492, ]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;;\ +  'data_time': 0.0038776989094913006, 'model_time': 1.9069610252045095, 'learning_rate':   +  9.547928499213593e-06, 'epoch': 17.23})   +03/17 [13:57:14] INFO  | >> Step 7150, Loss: {'action_dit_loss': 0.8847659230232239, 'data_time': 0.00017100898548960686, ]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;;\ +  'model_time': 1.9092589230276644, 'learning_rate': 9.52651416416042e-06, 'epoch': 17.35})   +03/17 [13:58:52] INFO  | >> Step 7200, Loss: {'action_dit_loss': 0.5575817823410034, 'mse_score': 0.001874588429927826, ]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;;\ +  'data_time': 0.00017416803166270256, 'model_time': 1.9114089338108897, 'learning_rate':   +  9.504630861137212e-06, 'epoch': 17.48})   +03/17 [14:00:27] INFO  | >> Step 7250, Loss: {'action_dit_loss': 0.8016468286514282, 'data_time': 0.00017783930525183678, ]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;;\ +  'model_time': 1.9100946211256087, 'learning_rate': 9.482280989894748e-06, 'epoch': 17.6})   +03/17 [14:02:05] INFO  | >> Step 7300, Loss: {'action_dit_loss': 0.7349144220352173, 'mse_score': 0.0014551365748047829, ]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;;\ +  'data_time': 0.0038436721079051495, 'model_time': 1.9084029477089643, 'learning_rate':   +  9.459467001348271e-06, 'epoch': 17.72})   +03/17 [14:03:43] INFO  | >> Step 7350, Loss: {'action_dit_loss': 0.8234769701957703, 'data_time': 0.00017836922779679298, ]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;;\ +  'model_time': 1.9081970872357488, 'learning_rate': 9.436191397308713e-06, 'epoch': 17.84})   +03/17 [14:05:20] INFO  | >> Step 7400, Loss: {'action_dit_loss': 0.9698264002799988, 'mse_score': 0.0016026020050048829, ]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;;\ +  'data_time': 0.00242982292547822, 'model_time': 1.9081138386391103, 'learning_rate': 9.412456730208352e-06,   +  'epoch': 17.96})   +03/17 [14:06:56] INFO  | >> Step 7450, Loss: {'action_dit_loss': 0.5888132452964783, 'data_time': 0.0017756870947778225, ]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;;\ +  'model_time': 1.9131996561773121, 'learning_rate': 9.388265602820901e-06, 'epoch': 18.08})   +03/17 [14:08:34] INFO  | >> Step 7500, Loss: {'action_dit_loss': 0.6828377842903137, 'mse_score': 0.0022491533309221268, ]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;;\ +  'data_time': 0.00017316918820142746, 'model_time': 1.9096124852076173, 'learning_rate':   +  9.363620667976085e-06, 'epoch': 18.2})   +03/17 [14:10:09] INFO  | >> Step 7550, Loss: {'action_dit_loss': 1.019364356994629, 'data_time': 0.00018221233040094376, ]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;;\ +  'model_time': 1.909690688829869, 'learning_rate': 9.338524628268734e-06, 'epoch': 18.33})   +03/17 [14:11:48] INFO  | >> Step 7600, Loss: {'action_dit_loss': 0.8181655406951904, 'mse_score': 0.0013014867901802063, ]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;;\ +  'data_time': 0.003354571759700775, 'model_time': 1.909457091242075, 'learning_rate': 9.312980235762408e-06,   +  'epoch': 18.45})   +03/17 [14:13:23] INFO  | >> Step 7650, Loss: {'action_dit_loss': 0.816845715045929, 'data_time': 0.00017775222659111023, ]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;;\ +  'model_time': 1.907970815896988, 'learning_rate': 9.286990291687605e-06, 'epoch': 18.57})   +03/17 [14:15:01] INFO  | >> Step 7700, Loss: {'action_dit_loss': 0.5762656331062317, 'mse_score': 0.0032738406211137772, ]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;;\ +  'data_time': 0.00016999104991555214, 'model_time': 1.9105263617821038, 'learning_rate':   +  9.260557646134572e-06, 'epoch': 18.69})   +03/17 [14:16:37] INFO  | >> Step 7750, Loss: {'action_dit_loss': 0.645172119140625, 'data_time': 0.001484024804085493, ]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;;\ +  'model_time': 1.9050707411952317, 'learning_rate': 9.233685197740765e-06, 'epoch': 18.81})   +03/17 [14:18:15] INFO  | >> Step 7800, Loss: {'action_dit_loss': 1.1705752611160278, 'mse_score': 0.0021820427849888802, ]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;;\ +  'data_time': 0.002435225062072277, 'model_time': 1.9116259729489684, 'learning_rate':   +  9.206375893372973e-06, 'epoch': 18.93})   +03/17 [14:19:51] INFO  | >> Step 7850, Loss: {'action_dit_loss': 0.5254583954811096, 'data_time': 0.00017551099881529808, ]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;;\ +  'model_time': 1.9101471058093011, 'learning_rate': 9.17863272780417e-06, 'epoch': 19.05})   +03/17 [14:21:29] INFO  | >> Step 7900, Loss: {'action_dit_loss': 0.7762181758880615, 'mse_score': 0.001557706855237484, ]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;;\ +  'data_time': 0.002291141077876091, 'model_time': 1.9096699510701, 'learning_rate': 9.150458743385095e-06,   +  'epoch': 19.17})   +03/17 [14:23:05] INFO  | >> Step 7950, Loss: {'action_dit_loss': 0.7200931310653687, 'data_time': 0.002436939161270857, ]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;;\ +  'model_time': 1.9066073060967028, 'learning_rate': 9.121857029710632e-06, 'epoch': 19.3})   +03/17 [14:24:42] INFO  | >> Step 8000, Loss: {'action_dit_loss': 0.7433019280433655, 'mse_score': 0.0006542345508933067, ]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;;\ +  'data_time': 0.00017218012362718582, 'model_time': 1.9065142110921443, 'learning_rate': 9.092830723281e-06,   +  'epoch': 19.42})   +03/17 [14:26:18] INFO  | >> Step 8050, Loss: {'action_dit_loss': 0.8948442935943604, 'data_time': 0.0016710967756807804, ]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;;\ +  'model_time': 1.9077487420290709, 'learning_rate': 9.063383007157795e-06, 'epoch': 19.54})   +03/17 [14:27:56] INFO  | >> Step 8100, Loss: {'action_dit_loss': 0.5259220600128174, 'mse_score': 0.0019591370597481727, ]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;;\ +  'data_time': 0.0025284248404204845, 'model_time': 1.91021956410259, 'learning_rate': 9.033517110614933e-06,   +  'epoch': 19.66})   +03/17 [14:29:32] INFO  | >> Step 8150, Loss: {'action_dit_loss': 0.5707128047943115, 'data_time': 0.0001703202724456787, ]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;;\ +  'model_time': 2.1521105454303324, 'learning_rate': 9.00323630878453e-06, 'epoch': 19.78})   +03/17 [14:31:11] INFO  | >> Step 8200, Loss: {'action_dit_loss': 1.1045453548431396, 'mse_score': 0.0020840507000684737, ]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;;\ +  'data_time': 0.00017509888857603073, 'model_time': 1.9106608480215073, 'learning_rate':   +  8.972543922297739e-06, 'epoch': 19.9})   +03/17 [14:32:46] INFO  | >> Step 8250, Loss: {'action_dit_loss': 0.6921172142028809, 'data_time': 0.005697872024029493, ]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;;\ +  'model_time': 1.9100940390489995, 'learning_rate': 8.941443316920613e-06, 'epoch': 20.02})   +03/17 [14:34:24] INFO  | >> Step 8300, Loss: {'action_dit_loss': 0.606299877166748, 'mse_score': 0.0017633700743317604, ]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;;\ +  'data_time': 0.0023015220649540424, 'model_time': 1.9055125028826296, 'learning_rate': 8.909937903185e-06,   +  'epoch': 20.15})   +03/17 [14:35:59] INFO  | >> Step 8350, Loss: {'action_dit_loss': 0.8061679005622864, 'data_time': 0.00016473978757858276, ]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;;\ +  'model_time': 1.9083072110079229, 'learning_rate': 8.878031136014552e-06, 'epoch': 20.27})   +03/17 [14:37:37] INFO  | >> Step 8400, Loss: {'action_dit_loss': 0.5876457691192627, 'mse_score': 0.0006209372077137232, ]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;;\ +  'data_time': 0.0001670890487730503, 'model_time': 1.905427130870521, 'learning_rate':   +  8.845726514345845e-06, 'epoch': 20.39})   +03/17 [14:39:13] INFO  | >> Step 8450, Loss: {'action_dit_loss': 0.5856096744537354, 'data_time': 0.00016307923942804337, ]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;;\ +  'model_time': 1.907476811669767, 'learning_rate': 8.813027580744685e-06, 'epoch': 20.51})   +03/17 [14:40:50] INFO  | >> Step 8500, Loss: {'action_dit_loss': 0.8056644797325134, 'mse_score': 0.003019959107041359, ]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;;\ +  'data_time': 0.0015859538689255714, 'model_time': 1.9073837832547724, 'learning_rate':   +  8.779937921017624e-06, 'epoch': 20.63})   +03/17 [14:42:26] INFO  | >> Step 8550, Loss: {'action_dit_loss': 0.6341656446456909, 'data_time': 0.0001588999293744564, ]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;;\ +  'model_time': 1.9078905498608947, 'learning_rate': 8.74646116381874e-06, 'epoch': 20.75})   +03/17 [14:44:05] INFO  | >> Step 8600, Loss: {'action_dit_loss': 0.8061000108718872, 'mse_score': 0.00330887995660305, ]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;;\ +  'data_time': 0.0001589898020029068, 'model_time': 1.9068959578871727, 'learning_rate':   +  8.712600980251706e-06, 'epoch': 20.87})   +03/17 [14:45:40] INFO  | >> Step 8650, Loss: {'action_dit_loss': 0.6774842739105225, 'data_time': 0.0035339989699423313, ]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;;\ +  'model_time': 1.9056267789565027, 'learning_rate': 8.678361083467221e-06, 'epoch': 21.0})   +03/17 [14:47:18] INFO  | >> Step 8700, Loss: {'action_dit_loss': 0.9161946773529053, 'mse_score': 0.0014828237704932689, ]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;;\ +  'data_time': 0.00016550999134778976, 'model_time': 1.9088933947496116, 'learning_rate':   +  8.643745228255816e-06, 'epoch': 21.12})   +03/17 [14:48:54] INFO  | >> Step 8750, Loss: {'action_dit_loss': 0.7796518802642822, 'data_time': 0.00017018988728523254, ]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;;\ +  'model_time': 1.908827805891633, 'learning_rate': 8.608757210636101e-06, 'epoch': 21.24})   +03/17 [14:50:32] INFO  | >> Step 8800, Loss: {'action_dit_loss': 0.6014319658279419, 'mse_score': 0.0005831063725054264, ]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;;\ +  'data_time': 0.0001594899222254753, 'model_time': 1.9078792887739837, 'learning_rate':   +  8.573400867438486e-06, 'epoch': 21.36})   +03/17 [14:52:07] INFO  | >> Step 8850, Loss: {'action_dit_loss': 0.7720538377761841, 'data_time': 0.0030819429084658623, ]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;;\ +  'model_time': 1.9026763392612338, 'learning_rate': 8.537680075884433e-06, 'epoch': 21.48})   +03/17 [14:53:45] INFO  | >> Step 8900, Loss: {'action_dit_loss': 0.5324819684028625, 'mse_score': 0.0021140851080417634, ]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;;\ +  'data_time': 0.001642725896090269, 'model_time': 1.9102034117095172, 'learning_rate':   +  8.501598753161273e-06, 'epoch': 21.6})   +03/17 [14:55:20] INFO  | >> Step 8950, Loss: {'action_dit_loss': 0.6754021644592285, 'data_time': 0.00016959011554718018, ]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;;\ +  'model_time': 1.909690008033067, 'learning_rate': 8.465160855992639e-06, 'epoch': 21.72})   +03/17 [14:57:00] INFO  | >> Step 9000, Loss: {'action_dit_loss': 0.9143621921539307, 'mse_score': 0.0014460817910730839, ]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;;\ +  'data_time': 0.0015786257572472095, 'model_time': 1.9039839301258326, 'learning_rate':   +  8.428370380204577e-06, 'epoch': 21.84})   +03/17 [14:58:35] INFO  | >> Step 9050, Loss: {'action_dit_loss': 0.4106684923171997, 'data_time': 0.0032714600674808025, ]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;;\ +  'model_time': 1.9058842877857387, 'learning_rate': 8.391231360287348e-06, 'epoch': 21.97})   +03/17 [15:00:13] INFO  | >> Step 9100, Loss: {'action_dit_loss': 0.6624356508255005, 'mse_score': 0.0013766920194029808, ]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;;\ +  'data_time': 0.0001574489288032055, 'model_time': 1.9080743081867695, 'learning_rate':   +  8.353747868953002e-06, 'epoch': 22.09})   +03/17 [15:01:49] INFO  | >> Step 9150, Loss: {'action_dit_loss': 0.7241992950439453, 'data_time': 0.0015199161134660244, ]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;;\ +  'model_time': 1.9049122361466289, 'learning_rate': 8.315924016688767e-06, 'epoch': 22.21})   +03/17 [15:03:26] INFO  | >> Step 9200, Loss: {'action_dit_loss': 0.6519014835357666, 'mse_score': 0.0010464456863701344, ]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;;\ +  'data_time': 0.0001659388653934002, 'model_time': 1.9092859588563442, 'learning_rate':   +  8.277763951306277e-06, 'epoch': 22.33})   +03/17 [15:05:02] INFO  | >> Step 9250, Loss: {'action_dit_loss': 0.5477392673492432, 'data_time': 0.00017357012256979942, ]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;;\ +  'model_time': 1.9113296619616449, 'learning_rate': 8.23927185748673e-06, 'epoch': 22.45})   +03/17 [15:06:40] INFO  | >> Step 9300, Loss: {'action_dit_loss': 0.5603967905044556, 'mse_score': 0.0025040656328201294, ]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;;\ +  'data_time': 0.004122955724596977, 'model_time': 1.904885278083384, 'learning_rate': 8.200451956321974e-06,   +  'epoch': 22.57})   +03/17 [15:08:15] INFO  | >> Step 9350, Loss: {'action_dit_loss': 0.5047580599784851, 'data_time': 0.00017367908731102943, ]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;;\ +  'model_time': 1.9072242313995957, 'learning_rate': 8.16130850485164e-06, 'epoch': 22.69})   +03/17 [15:09:54] INFO  | >> Step 9400, Loss: {'action_dit_loss': 0.684973418712616, 'mse_score': 0.0013600162230432034, 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]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;;\ +  'data_time': 0.0038818512111902237, 'model_time': 1.9040765329264104, 'learning_rate':   +  7.71062829452237e-06, 'epoch': 24.03})   +03/17 [15:27:38] INFO  | >> Step 9950, Loss: {'action_dit_loss': 0.8290368318557739, 'data_time': 0.00017521996051073074, ]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;;\ +  'model_time': 1.909309749957174, 'learning_rate': 7.667946724814264e-06, 'epoch': 24.15})   +03/17 [15:29:16] INFO  | >> Step 10000, Loss: {'action_dit_loss': 0.4310806393623352, 'mse_score': 0.0012362039647996425, ]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;;\ +  'data_time': 0.00016032997518777847, 'model_time': 1.9059939649887383, 'learning_rate': 7.625e-06, 'epoch':   +  24.27})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/checkpoints/steps_10000 +03/17 [15:29:24] 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;;\ +03/17 [15:31:00] INFO  | >> Step 10050, Loss: {'action_dit_loss': 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]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;;\ +  'model_time': 1.909061985090375, 'learning_rate': 7.227333763236907e-06, 'epoch': 25.36})   +03/17 [15:45:34] INFO  | >> Step 10500, Loss: {'action_dit_loss': 0.4821821451187134, 'mse_score': 0.0014564283192157745, ]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;;\ +  'data_time': 0.001527315005660057, 'model_time': 1.9059787997975945, 'learning_rate':   +  7.181999054610053e-06, 'epoch': 25.49})   +03/17 [15:47:09] INFO  | >> Step 10550, Loss: {'action_dit_loss': 0.5954612493515015, 'data_time': 0.0001646997407078743, ]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;;\ +  'model_time': 1.9058541487902403, 'learning_rate': 7.136452480515208e-06, 'epoch': 25.61})   +03/17 [15:48:47] INFO  | >> Step 10600, Loss: {'action_dit_loss': 0.5041120648384094, 'mse_score': 0.001651742123067379, ]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;;\ +  'data_time': 0.0015181549824774265, 'model_time': 1.907699128612876, 'learning_rate':   +  7.0906990356474895e-06, 'epoch': 25.73})   +03/17 [15:50:24] INFO  | >> Step 10650, Loss: {'action_dit_loss': 0.35174208879470825, 'data_time': 0.002628421876579523, ]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;;\ +  'model_time': 1.9063087520189583, 'learning_rate': 7.04474373738772e-06, 'epoch': 25.85})   +03/17 [15:52:02] INFO  | >> Step 10700, Loss: {'action_dit_loss': 0.5737362504005432, 'mse_score': 0.001070230919867754, ]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;;\ +  'data_time': 0.00016231881454586983, 'model_time': 1.905719056725502, 'learning_rate':   +  6.9985916252522225e-06, 'epoch': 25.97})   +03/17 [15:53:38] INFO  | >> Step 10750, Loss: {'action_dit_loss': 0.4634893834590912, 'data_time': 0.002460898831486702, ]8;id=596856;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=965940;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9048645719885826, 'learning_rate': 6.952247760340176e-06, 'epoch': 26.09})   +03/17 [15:55:15] INFO  | >> Step 10800, Loss: {'action_dit_loss': 0.36290520429611206, 'mse_score': 0.0007771965581923723, ]8;id=722131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=318862;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002378306817263365, 'model_time': 1.906369754113257, 'learning_rate': 6.905717224778623e-06,   +  'epoch': 26.21})   +03/17 [15:56:51] INFO  | >> Step 10850, Loss: {'action_dit_loss': 0.4680207669734955, 'data_time': 0.00017653405666351318, ]8;id=524783;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=566211;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.908004461787641, 'learning_rate': 6.859005121165135e-06, 'epoch': 26.33})   +03/17 [15:58:28] INFO  | >> Step 10900, Loss: {'action_dit_loss': 0.2869318723678589, 'mse_score': 0.0013332197442650795, ]8;id=41797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=932627;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002382660284638405, 'model_time': 1.9068503533490002, 'learning_rate':   +  6.812116572008271e-06, 'epoch': 26.46})   +03/17 [16:00:05] INFO  | >> Step 10950, Loss: {'action_dit_loss': 0.41921427845954895, 'data_time': 0.0024697561748325825, ]8;id=262529;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=27121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.908178461715579, 'learning_rate': 6.765056719165833e-06, 'epoch': 26.58})   +03/17 [16:01:43] INFO  | >> Step 11000, Loss: {'action_dit_loss': 0.8306582570075989, 'mse_score': 0.0012313376180827617, ]8;id=902317;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=603139;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.001394467893987894, 'model_time': 1.906743889208883, 'learning_rate':   +  6.7178307232810015e-06, 'epoch': 26.7})   +03/17 [16:03:19] INFO  | >> Step 11050, Loss: {'action_dit_loss': 0.35627710819244385, 'data_time': 0.0024168812669813633, ]8;id=704938;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=861322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.907743260730058, 'learning_rate': 6.670443763216412e-06, 'epoch': 26.82})   +03/17 [16:04:57] INFO  | >> Step 11100, Loss: {'action_dit_loss': 0.5194385051727295, 'mse_score': 0.0006978729274123907, ]8;id=793005;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=183700;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017008697614073753, 'model_time': 1.9066155380569398, 'learning_rate':   +  6.622901035486241e-06, 'epoch': 26.94})   +03/17 [16:06:33] INFO  | >> Step 11150, Loss: {'action_dit_loss': 0.5941426753997803, 'data_time': 0.0024509592913091183, ]8;id=960571;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=291668;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9058517338708043, 'learning_rate': 6.5752077536863404e-06, 'epoch': 27.06})   +03/17 [16:08:11] INFO  | >> Step 11200, Loss: {'action_dit_loss': 0.5309500098228455, 'mse_score': 0.0010449093766510486, ]8;id=853797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=515611;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00239008292555809, 'model_time': 1.9047487257048488, 'learning_rate':   +  6.5273691479225124e-06, 'epoch': 27.18})   +03/17 [16:09:47] INFO  | >> Step 11250, Loss: {'action_dit_loss': 0.32052984833717346, 'data_time': 0.001631476916372776, ]8;id=349499;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=336653;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.913208147045225, 'learning_rate': 6.479390464236974e-06, 'epoch': 27.31})   +03/17 [16:11:25] INFO  | >> Step 11300, Loss: {'action_dit_loss': 0.33732929825782776, 'mse_score': 0.001000102050602436, ]8;id=345824;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=431641;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0015519298613071442, 'model_time': 1.9093112889677286, 'learning_rate':   +  6.431276964033062e-06, 'epoch': 27.43})   +03/17 [16:13:00] INFO  | >> Step 11350, Loss: {'action_dit_loss': 0.5342337489128113, 'data_time': 0.001438652165234089, ]8;id=991107;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=419904;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9078743201680481, 'learning_rate': 6.3830339234982596e-06, 'epoch': 27.55})   +03/17 [16:14:38] INFO  | >> Step 11400, Loss: {'action_dit_loss': 0.6628015041351318, 'mse_score': 0.0012969247065484524, ]8;id=476919;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=92337;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002200124319642782, 'model_time': 1.9055091650225222, 'learning_rate':   +  6.334666633025616e-06, 'epoch': 27.67})   +03/17 [16:16:14] INFO  | >> Step 11450, Loss: {'action_dit_loss': 0.338270902633667, 'data_time': 0.004291420802474022, ]8;id=810075;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=423808;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.906207317020744, 'learning_rate': 6.286180396633579e-06, 'epoch': 27.79})   +03/17 [16:17:53] INFO  | >> Step 11500, Loss: {'action_dit_loss': 0.38868796825408936, 'mse_score': 0.0006285675801336766, ]8;id=689606;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911597;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015993835404515266, 'model_time': 1.9061760338954628, 'learning_rate':   +  6.2375805313843564e-06, 'epoch': 27.91})   +03/17 [16:19:28] INFO  | >> Step 11550, Loss: {'action_dit_loss': 0.4886986315250397, 'data_time': 0.00017186813056468964, ]8;id=196694;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=543623;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9105010209605098, 'learning_rate': 6.18887236680085e-06, 'epoch': 28.03})   +03/17 [16:21:06] INFO  | >> Step 11600, Loss: {'action_dit_loss': 0.39866945147514343, 'mse_score': 0.0005926129408180714, ]8;id=655788;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=463513;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00038107577711343765, 'model_time': 1.9070533672347665, 'learning_rate':   +  6.140061244282194e-06, 'epoch': 28.16})   +03/17 [16:22:41] INFO  | >> Step 11650, Loss: {'action_dit_loss': 0.3920302391052246, 'data_time': 0.00018402794376015663, ]8;id=575898;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=137377;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9060770687647164, 'learning_rate': 6.091152516518022e-06, 'epoch': 28.28})   +03/17 [16:24:19] INFO  | >> Step 11700, Loss: {'action_dit_loss': 0.24259810149669647, 'mse_score': 0.0008018180727958679, ]8;id=732168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=508257;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00388517277315259, 'model_time': 1.9067042618989944, 'learning_rate': 6.042151546901487e-06,   +  'epoch': 28.4})   +03/17 [16:25:55] INFO  | >> Step 11750, Loss: {'action_dit_loss': 0.3832145631313324, 'data_time': 0.0001642783172428608, ]8;id=838141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=250921;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9080224321223795, 'learning_rate': 5.993063708941098e-06, 'epoch': 28.52})   +03/17 [16:27:33] INFO  | >> Step 11800, Loss: {'action_dit_loss': 0.6800980567932129, 'mse_score': 0.0012028571218252182, ]8;id=14338;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=579077;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017218990251421928, 'model_time': 1.9055220326408744, 'learning_rate':   +  5.943894385671456e-06, 'epoch': 28.64})   +03/17 [16:29:10] INFO  | >> Step 11850, Loss: {'action_dit_loss': 0.5307420492172241, 'data_time': 0.0032070931047201157, ]8;id=957276;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=118972;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9117988618090749, 'learning_rate': 5.894648969062947e-06, 'epoch': 28.76})   +03/17 [16:30:48] INFO  | >> Step 11900, Loss: {'action_dit_loss': 0.43108808994293213, 'mse_score': 0.0006243220530450344, ]8;id=872565;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=161450;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0016335551626980305, 'model_time': 1.9089062912389636, 'learning_rate':   +  5.845332859430446e-06, 'epoch': 28.88})   +03/17 [16:32:24] INFO  | >> Step 11950, Loss: {'action_dit_loss': 0.6547031402587891, 'data_time': 0.00016393978148698807, ]8;id=533590;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=739677;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9072916638106108, 'learning_rate': 5.7959514648411175e-06, 'epoch': 29.0})   +03/17 [16:34:01] INFO  | >> Step 12000, Loss: {'action_dit_loss': 0.4816778302192688, 'mse_score': 0.0009220181033015251, ]8;id=495158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=255570;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001995489001274109, 'model_time': 1.9063534121960402, 'learning_rate':   +  5.746510200521354e-06, 'epoch': 29.13})   +03/17 [16:35:38] INFO  | >> Step 12050, Loss: {'action_dit_loss': 0.4010792374610901, 'data_time': 0.00018245866522192955, ]8;id=199869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=966648;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9086710819974542, 'learning_rate': 5.697014488262945e-06, 'epoch': 29.25})   +03/17 [16:37:15] INFO  | >> Step 12100, Loss: {'action_dit_loss': 0.24129369854927063, 'mse_score': 0.002167697623372078, ]8;id=143139;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=905997;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0032764719799160957, 'model_time': 1.9041873621754348, 'learning_rate':   +  5.647469755828501e-06, 'epoch': 29.37})   +03/17 [16:38:51] INFO  | >> Step 12150, Loss: {'action_dit_loss': 0.3900780975818634, 'data_time': 0.00017827888950705528, ]8;id=895916;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=435098;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9065626501105726, 'learning_rate': 5.597881436356252e-06, 'epoch': 29.49})   +03/17 [16:40:28] INFO  | >> Step 12200, Loss: {'action_dit_loss': 0.5582956075668335, 'mse_score': 0.0007043215446174145, ]8;id=280150;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=860408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0015544909983873367, 'model_time': 1.906427111942321, 'learning_rate':   +  5.548254967764239e-06, 'epoch': 29.61})   +03/17 [16:42:05] INFO  | >> Step 12250, Loss: {'action_dit_loss': 0.45881718397140503, 'data_time': 0.003542887046933174, ]8;id=878157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=615448;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.91518015274778, 'learning_rate': 5.498595792153985e-06, 'epoch': 29.73})   +03/17 [16:43:43] INFO  | >> Step 12300, Loss: {'action_dit_loss': 0.61458820104599, 'mse_score': 0.0013013881631195544, ]8;id=155813;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=468238;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0028964700177311897, 'model_time': 1.9061756813898683, 'learning_rate':   +  5.4489093552136986e-06, 'epoch': 29.85})   +03/17 [16:45:19] INFO  | >> Step 12350, Loss: {'action_dit_loss': 0.5764872431755066, 'data_time': 0.00017156824469566345, ]8;id=578727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=799929;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.906863708049059, 'learning_rate': 5.399201105621111e-06, 'epoch': 29.98})   +03/17 [16:46:57] INFO  | >> Step 12400, Loss: {'action_dit_loss': 0.3132951259613037, 'mse_score': 0.0012415413744747638, ]8;id=337408;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911843;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.001573688816279173, 'model_time': 1.906418289989233, 'learning_rate': 5.349476494445947e-06,   +  'epoch': 30.1})   +03/17 [16:48:32] INFO  | >> Step 12450, Loss: {'action_dit_loss': 0.4800642430782318, 'data_time': 0.0024456330575048923, ]8;id=401574;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=244907;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9076321441680193, 'learning_rate': 5.299740974552168e-06, 'epoch': 30.22})   +03/17 [16:50:10] INFO  | >> Step 12500, Loss: {'action_dit_loss': 0.1448863446712494, 'mse_score': 0.0022525426000356676, ]8;id=333632;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=780879;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014417902566492558, 'model_time': 1.9068553978577256, 'learning_rate':   +  5.2500000000000006e-06, 'epoch': 30.34})   +03/17 [16:51:45] INFO  | >> Step 12550, Loss: {'action_dit_loss': 0.45608755946159363, 'data_time': 0.0016479473561048508, ]8;id=399749;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=404832;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9049303401261568, 'learning_rate': 5.200259025447835e-06, 'epoch': 30.46})   +03/17 [16:53:24] INFO  | >> Step 12600, Loss: {'action_dit_loss': 1.123591423034668, 'mse_score': 0.0018003949895501136, ]8;id=159493;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=519389;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016388902440667152, 'model_time': 1.9046720881015062, 'learning_rate':   +  5.1505235055540545e-06, 'epoch': 30.58})   +03/17 [16:55:01] INFO  | >> Step 12650, Loss: {'action_dit_loss': 0.13445955514907837, 'data_time': 0.0024434616789221764, ]8;id=348121;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=911946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.908021030947566, 'learning_rate': 5.100798894378891e-06, 'epoch': 30.7})   +03/17 [16:56:38] INFO  | >> Step 12700, Loss: {'action_dit_loss': 0.4587302505970001, 'mse_score': 0.0009491497650742531, ]8;id=104555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=551499;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0003585768863558769, 'model_time': 1.9094930496066809, 'learning_rate':   +  5.0510906447863025e-06, 'epoch': 30.83})   +03/17 [16:58:14] INFO  | >> Step 12750, Loss: {'action_dit_loss': 0.3073902130126953, 'data_time': 0.0023281420581042767, ]8;id=151157;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=429893;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9103417578153312, 'learning_rate': 5.001404207846017e-06, 'epoch': 30.95})   +03/17 [16:59:52] INFO  | >> Step 12800, Loss: {'action_dit_loss': 0.3025222420692444, 'mse_score': 0.0009179607965052128, ]8;id=492296;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=819488;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001712278462946415, 'model_time': 1.9065242251381278, 'learning_rate':   +  4.951745032235762e-06, 'epoch': 31.07})   +03/17 [17:01:27] INFO  | >> Step 12850, Loss: {'action_dit_loss': 0.2463594526052475, 'data_time': 0.0015627839602530003, ]8;id=416791;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=681403;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 2.1475277300924063, 'learning_rate': 4.902118563643751e-06, 'epoch': 31.19})   +03/17 [17:03:05] INFO  | >> Step 12900, Loss: {'action_dit_loss': 0.2019553780555725, 'mse_score': 0.001854264922440052, ]8;id=707115;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=901085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002309613861143589, 'model_time': 1.9091813759878278, 'learning_rate':   +  4.852530244171502e-06, 'epoch': 31.31})   +03/17 [17:04:41] INFO  | >> Step 12950, Loss: {'action_dit_loss': 0.20724798738956451, 'data_time': 0.00017786584794521332, ]8;id=753629;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=930546;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.907053664792329, 'learning_rate': 4.802985511737057e-06, 'epoch': 31.43})   +03/17 [17:06:19] INFO  | >> Step 13000, Loss: {'action_dit_loss': 0.3724358379840851, 'mse_score': 0.0012147818692028523, ]8;id=37642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=647453;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002382705919444561, 'model_time': 1.9058996620588005, 'learning_rate':   +  4.753489799478647e-06, 'epoch': 31.55})   +03/17 [17:07:54] INFO  | >> Step 13050, Loss: {'action_dit_loss': 0.21100583672523499, 'data_time': 0.002286371774971485, ]8;id=965664;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=301338;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9030801099725068, 'learning_rate': 4.7040485351588845e-06, 'epoch': 31.67})   +03/17 [17:09:33] INFO  | >> Step 13100, Loss: {'action_dit_loss': 0.20510683953762054, 'mse_score': 0.0008355267345905304, ]8;id=103225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=797305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0025579379871487617, 'model_time': 1.9045761479064822, 'learning_rate':   +  4.654667140569555e-06, 'epoch': 31.8})   +03/17 [17:11:09] INFO  | >> Step 13150, Loss: {'action_dit_loss': 0.1982811987400055, 'data_time': 0.002309973817318678, ]8;id=465230;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=174446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.906395202036947, 'learning_rate': 4.605351030937054e-06, 'epoch': 31.92})   +03/17 [17:12:47] INFO  | >> Step 13200, Loss: {'action_dit_loss': 0.20358997583389282, 'mse_score': 0.00046426216140389444, ]8;id=48225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=340131;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015180185437202454, 'model_time': 1.906492814887315, 'learning_rate':   +  4.556105614328545e-06, 'epoch': 32.04})   +03/17 [17:14:22] INFO  | >> Step 13250, Loss: {'action_dit_loss': 0.34899187088012695, 'data_time': 0.0014934209175407887, ]8;id=393049;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=451607;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9069356857798994, 'learning_rate': 4.506936291058902e-06, 'epoch': 32.16})   +03/17 [17:16:00] INFO  | >> Step 13300, Loss: {'action_dit_loss': 0.2351217269897461, 'mse_score': 0.0013046265579760075, ]8;id=593418;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=714919;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002624133136123419, 'model_time': 1.9047344871796668, 'learning_rate':   +  4.457848453098514e-06, 'epoch': 32.28})   +03/17 [17:17:36] INFO  | >> Step 13350, Loss: {'action_dit_loss': 0.31898707151412964, 'data_time': 0.0001686522737145424, ]8;id=82804;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=639098;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9067745660431683, 'learning_rate': 4.40884748348198e-06, 'epoch': 32.4})   +03/17 [17:19:14] INFO  | >> Step 13400, Loss: {'action_dit_loss': 0.341494619846344, 'mse_score': 0.0009641668759286404, ]8;id=252528;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=521841;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014211232773959637, 'model_time': 2.139629708137363, 'learning_rate':   +  4.359938755717807e-06, 'epoch': 32.52})   +03/17 [17:20:50] INFO  | >> Step 13450, Loss: {'action_dit_loss': 0.17022275924682617, 'data_time': 0.0017029042355716228, ]8;id=483550;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=668891;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.904995827935636, 'learning_rate': 4.311127633199151e-06, 'epoch': 32.65})   +03/17 [17:22:28] INFO  | >> Step 13500, Loss: {'action_dit_loss': 0.2463626265525818, 'mse_score': 0.0010502579621970653, ]8;id=9853;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=942573;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0015874719247221947, 'model_time': 1.9064104058779776, 'learning_rate':   +  4.262419468615644e-06, 'epoch': 32.77})   +03/17 [17:24:04] INFO  | >> Step 13550, Loss: {'action_dit_loss': 0.5548264980316162, 'data_time': 0.00017599109560251236, ]8;id=710526;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=573149;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9055602299049497, 'learning_rate': 4.213819603366424e-06, 'epoch': 32.89})   +03/17 [17:25:41] INFO  | >> Step 13600, Loss: {'action_dit_loss': 0.15315920114517212, 'mse_score': 0.0013100408017635346, ]8;id=362351;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=616113;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014775688759982586, 'model_time': 1.9036167892627418, 'learning_rate':   +  4.165333366974385e-06, 'epoch': 33.01})   +03/17 [17:27:17] INFO  | >> Step 13650, Loss: {'action_dit_loss': 0.38396233320236206, 'data_time': 0.002323273103684187, ]8;id=262246;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=479027;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9033900778740644, 'learning_rate': 4.1169660765017416e-06, 'epoch': 33.13})   +03/17 [17:28:55] INFO  | >> Step 13700, Loss: {'action_dit_loss': 0.10106517374515533, 'mse_score': 0.00045983549207448957, ]8;id=894787;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=506680;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015103071928024292, 'model_time': 1.908396695740521, 'learning_rate':   +  4.06872303596694e-06, 'epoch': 33.25})   +03/17 [17:30:31] INFO  | >> Step 13750, Loss: {'action_dit_loss': 0.1927289217710495, 'data_time': 0.00016100099310278893, ]8;id=376395;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=602733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9068987560458481, 'learning_rate': 4.0206095357630256e-06, 'epoch': 33.37})   +03/17 [17:32:08] INFO  | >> Step 13800, Loss: {'action_dit_loss': 0.5142960548400879, 'mse_score': 0.0005569860339164733, ]8;id=870357;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=690203;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0025585810653865337, 'model_time': 1.9029096248559654, 'learning_rate':   +  3.972630852077488e-06, 'epoch': 33.5})   +03/17 [17:33:44] INFO  | >> Step 13850, Loss: {'action_dit_loss': 0.20101548731327057, 'data_time': 0.0026309010572731495, ]8;id=907088;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=719112;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9039077502675354, 'learning_rate': 3.9247922463136615e-06, 'epoch': 33.62})   +03/17 [17:35:23] INFO  | >> Step 13900, Loss: {'action_dit_loss': 0.2642103433609009, 'mse_score': 0.0008250678889453411, ]8;id=635863;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=781369;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016380008310079575, 'model_time': 1.9089118503034115, 'learning_rate':   +  3.877098964513759e-06, 'epoch': 33.74})   +03/17 [17:36:58] INFO  | >> Step 13950, Loss: {'action_dit_loss': 0.38659071922302246, 'data_time': 0.0001518120989203453, ]8;id=300096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=813423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9088553148321807, 'learning_rate': 3.829556236783588e-06, 'epoch': 33.86})   +03/17 [17:38:37] INFO  | >> Step 14000, Loss: {'action_dit_loss': 0.2286752462387085, 'mse_score': 0.0003036596113815904, ]8;id=369435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=229642;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0031137061305344105, 'model_time': 1.9037157073616982, 'learning_rate': 3.782169276719e-06,   +  'epoch': 33.98})   +03/17 [17:40:12] INFO  | >> Step 14050, Loss: {'action_dit_loss': 0.44801685214042664, 'data_time': 0.00016495399177074432, ]8;id=710687;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=792280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.910738724283874, 'learning_rate': 3.7349432808341673e-06, 'epoch': 34.1})   +03/17 [17:41:50] INFO  | >> Step 14100, Loss: {'action_dit_loss': 0.29003697633743286, 'mse_score': 0.0011642780154943466, ]8;id=879060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=143423;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015362491831183434, 'model_time': 1.9055184749886394, 'learning_rate':   +  3.68788342799173e-06, 'epoch': 34.22})   +03/17 [17:43:25] INFO  | >> Step 14150, Loss: {'action_dit_loss': 0.18274110555648804, 'data_time': 0.003892657347023487, ]8;id=677737;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=41337;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.904500009957701, 'learning_rate': 3.640994878834866e-06, 'epoch': 34.34})   +03/17 [17:45:03] INFO  | >> Step 14200, Loss: {'action_dit_loss': 0.24387454986572266, 'mse_score': 0.001475520059466362, ]8;id=607727;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=382584;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001544659025967121, 'model_time': 1.9057556497864425, 'learning_rate':   +  3.5942827752213788e-06, 'epoch': 34.47})   +03/17 [17:46:40] INFO  | >> Step 14250, Loss: {'action_dit_loss': 0.11661803722381592, 'data_time': 0.0013377838768064976, ]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;;\ +  'model_time': 1.9105402170680463, 'learning_rate': 3.5477522396598236e-06, 'epoch': 34.59})   +03/17 [17:48:18] INFO  | >> Step 14300, Loss: {'action_dit_loss': 0.28013402223587036, 'mse_score': 0.0011148172430694102, ]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;;\ +  'data_time': 0.00015432806685566902, 'model_time': 1.9070375617593527, 'learning_rate':   +  3.50140837474778e-06, 'epoch': 34.71})   +03/17 [17:49:54] INFO  | >> Step 14350, Loss: {'action_dit_loss': 0.20381218194961548, 'data_time': 0.00014910800382494926, ]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;;\ +  'model_time': 1.9072240563109517, 'learning_rate': 3.4552562626122817e-06, 'epoch': 34.83})   +03/17 [17:51:31] INFO  | >> Step 14400, Loss: {'action_dit_loss': 0.23487861454486847, 'mse_score': 0.00046495660208165643, ]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;;\ +  'data_time': 0.00015792762860655785, 'model_time': 1.905935857910663, 'learning_rate':   +  3.409300964352511e-06, 'epoch': 34.95})   +03/17 [17:53:07] INFO  | >> Step 14450, Loss: {'action_dit_loss': 0.18618565797805786, 'data_time': 0.0028280969709157944, ]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;;\ +  'model_time': 1.9064914709888399, 'learning_rate': 3.3635475194847927e-06, 'epoch': 35.07})   +03/17 [17:54:45] INFO  | >> Step 14500, Loss: {'action_dit_loss': 0.13235369324684143, 'mse_score': 0.0004609140567481518, ]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;;\ +  'data_time': 0.00015274900943040848, 'model_time': 1.911570434924215, 'learning_rate':   +  3.3180009453899496e-06, 'epoch': 35.19})   +03/17 [17:56:21] INFO  | >> Step 14550, Loss: {'action_dit_loss': 0.10183937847614288, 'data_time': 0.00016434909775853157, ]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;;\ +  'model_time': 1.9096580049954355, 'learning_rate': 3.2726662367630953e-06, 'epoch': 35.32})   +03/17 [17:57:58] INFO  | >> Step 14600, Loss: {'action_dit_loss': 0.195288747549057, 'mse_score': 0.0014945956878364085, ]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;;\ +  'data_time': 0.0001591290347278118, 'model_time': 1.912726212758571, 'learning_rate':   +  3.227548365065905e-06, 'epoch': 35.44})   +03/17 [17:59:34] INFO  | >> Step 14650, Loss: {'action_dit_loss': 0.10949273407459259, 'data_time': 0.001612287014722824, ]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;;\ +  'model_time': 1.906347084324807, 'learning_rate': 3.1826522779814453e-06, 'epoch': 35.56})   +03/17 [18:01:13] INFO  | >> Step 14700, Loss: {'action_dit_loss': 0.37907859683036804, 'mse_score': 0.00019129260908812284, ]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;;\ +  'data_time': 0.00015996769070625305, 'model_time': 1.9097277070395648, 'learning_rate':   +  3.1379828988715955e-06, 'epoch': 35.68})   +03/17 [18:02:48] INFO  | >> Step 14750, Loss: {'action_dit_loss': 0.4929376542568207, 'data_time': 0.0013581803068518639, ]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;;\ +  'model_time': 1.9085531290620565, 'learning_rate': 3.093545126237153e-06, 'epoch': 35.8})   +03/17 [18:04:26] INFO  | >> Step 14800, Loss: {'action_dit_loss': 0.12873324751853943, 'mse_score': 0.0002455061301589012, ]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;;\ +  'data_time': 0.0001515587791800499, 'model_time': 1.9077525991015136, 'learning_rate':   +  3.049343833180658e-06, 'epoch': 35.92})   +03/17 [18:06:02] INFO  | >> Step 14850, Loss: {'action_dit_loss': 0.26113787293434143, 'data_time': 0.00014906888827681541, ]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;;\ +  'model_time': 1.9062519520521164, 'learning_rate': 3.0053838668719944e-06, 'epoch': 36.04})   +03/17 [18:07:39] INFO  | >> Step 14900, Loss: {'action_dit_loss': 0.06338708847761154, 'mse_score': 0.00038597409147769215, ]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;;\ +  'data_time': 0.004051985219120979, 'model_time': 1.9092209502123296, 'learning_rate':   +  2.961670048016852e-06, 'epoch': 36.17})   +03/17 [18:09:15] INFO  | >> Step 14950, Loss: {'action_dit_loss': 0.07001198828220367, 'data_time': 0.00018219370394945145, ]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;;\ +  'model_time': 1.9109586719423532, 'learning_rate': 2.918207170328081e-06, 'epoch': 36.29})   +03/17 [18:10:53] INFO  | >> Step 15000, Loss: {'action_dit_loss': 0.13266423344612122, 'mse_score': 0.0011842840351164341, ]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;;\ +  'data_time': 0.0001573166809976101, 'model_time': 1.9052705368958414, 'learning_rate':   +  2.8750000000000013e-06, 'epoch': 36.41})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/checkpoints/steps_15000 +03/17 [18:11:01] 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;;\ +03/17 [18:12:37] INFO  | >> Step 15050, Loss: {'action_dit_loss': 0.2653735280036926, 'data_time': 0.00015134690329432487, ]8;id=615870;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=778325;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9048354350961745, 'learning_rate': 2.8320532751857365e-06, 'epoch': 36.53})   +03/17 [18:14:17] INFO  | >> Step 15100, Loss: {'action_dit_loss': 0.22809667885303497, 'mse_score': 0.00023726376239210367, ]8;id=686735;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=103831;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0026210499927401543, 'model_time': 1.9052354972809553, 'learning_rate':   +  2.7893717054776327e-06, 'epoch': 36.65})   +03/17 [18:15:53] INFO  | >> Step 15150, Loss: {'action_dit_loss': 0.17607873678207397, 'data_time': 0.0015877429395914078, ]8;id=984668;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=997742;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9083393919281662, 'learning_rate': 2.746959971390782e-06, 'epoch': 36.77})   +03/17 [18:17:30] INFO  | >> Step 15200, Loss: {'action_dit_loss': 0.08733075857162476, 'mse_score': 0.00016094439197331667, ]8;id=227823;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=464920;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0016355449333786964, 'model_time': 1.9060983690433204, 'learning_rate':   +  2.704822723849765e-06, 'epoch': 36.89})   +03/17 [18:19:06] INFO  | >> Step 15250, Loss: {'action_dit_loss': 0.0742548480629921, 'data_time': 0.0014679701998829842, ]8;id=380303;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=104180;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9068495188839734, 'learning_rate': 2.6629645836786217e-06, 'epoch': 37.01})   +03/17 [18:20:43] INFO  | >> Step 15300, Loss: {'action_dit_loss': 0.0676087811589241, 'mse_score': 0.00024447785690426824, ]8;id=676149;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=376096;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0016552782617509365, 'model_time': 1.9067653552629054, 'learning_rate':   +  2.621390141094116e-06, 'epoch': 37.14})   +03/17 [18:22:20] INFO  | >> Step 15350, Loss: {'action_dit_loss': 0.25010788440704346, 'data_time': 0.0014780820347368717, ]8;id=128093;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=995109;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9054019921459258, 'learning_rate': 2.580103955202381e-06, 'epoch': 37.26})   +03/17 [18:23:58] INFO  | >> Step 15400, Loss: {'action_dit_loss': 0.16047035157680511, 'mse_score': 0.00026376310270279644, ]8;id=694963;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=222409;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014956430532038212, 'model_time': 1.9077255078591406, 'learning_rate':   +  2.5391105534989503e-06, 'epoch': 37.38})   +03/17 [18:25:33] INFO  | >> Step 15450, Loss: {'action_dit_loss': 0.027859652414917946, 'data_time': 0.0015587038360536098, ]8;id=53035;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=825013;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.909458233974874, 'learning_rate': 2.4984144313722765e-06, 'epoch': 37.5})   +03/17 [18:27:11] INFO  | >> Step 15500, Loss: {'action_dit_loss': 0.045284174382686615, 'mse_score': 0.0002702089259400964, ]8;id=592002;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=215173;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0014650463126599789, 'model_time': 1.9025984928011894, 'learning_rate':   +  2.458020051610753e-06, 'epoch': 37.62})   +03/17 [18:28:48] INFO  | >> Step 15550, Loss: {'action_dit_loss': 0.10525910556316376, 'data_time': 0.0014058472588658333, ]8;id=217220;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=614867;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9096803716383874, 'learning_rate': 2.4179318439133245e-06, 'epoch': 37.74})   +03/17 [18:30:26] INFO  | >> Step 15600, Loss: {'action_dit_loss': 0.051727764308452606, 'mse_score': 0.00019074509618803858, ]8;id=344519;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=811984;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015864893794059753, 'model_time': 1.907709444873035, 'learning_rate':   +  2.3781542044037195e-06, 'epoch': 37.86})   +03/17 [18:32:02] INFO  | >> Step 15650, Loss: {'action_dit_loss': 0.3630867302417755, 'data_time': 0.0014437870122492313, ]8;id=2973;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=290743;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.90623095119372, 'learning_rate': 2.338691495148363e-06, 'epoch': 37.99})   +03/17 [18:33:40] INFO  | >> Step 15700, Loss: {'action_dit_loss': 0.07449452579021454, 'mse_score': 0.00031572424340993167, ]8;id=262829;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=837302;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0023883190006017685, 'model_time': 1.9055807529948652, 'learning_rate':   +  2.299548043678026e-06, 'epoch': 38.11})   +03/17 [18:35:15] INFO  | >> Step 15750, Loss: {'action_dit_loss': 0.06955216079950333, 'data_time': 0.00015399791300296783, ]8;id=27032;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=138205;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9094490758143365, 'learning_rate': 2.2607281425132728e-06, 'epoch': 38.23})   +03/17 [18:36:53] INFO  | >> Step 15800, Loss: {'action_dit_loss': 0.1110808327794075, 'mse_score': 0.0008415859192609787, ]8;id=249489;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=617457;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002232171129435301, 'model_time': 1.9044340481050313, 'learning_rate':   +  2.2222360486937238e-06, 'epoch': 38.35})   +03/17 [18:38:29] INFO  | >> Step 15850, Loss: {'action_dit_loss': 0.056953009217977524, 'data_time': 0.0014351890422403812, ]8;id=54944;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=132915;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9024977539665997, 'learning_rate': 2.184075983311234e-06, 'epoch': 38.47})   +03/17 [18:40:07] INFO  | >> Step 15900, Loss: {'action_dit_loss': 0.10194112360477448, 'mse_score': 0.00020254859700798988, ]8;id=781886;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=66645;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016405805945396423, 'model_time': 1.9077258938923478, 'learning_rate':   +  2.1462521310469987e-06, 'epoch': 38.59})   +03/17 [18:41:44] INFO  | >> Step 15950, Loss: {'action_dit_loss': 0.07752817869186401, 'data_time': 0.0001453077420592308, ]8;id=538169;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=622503;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9091051421128213, 'learning_rate': 2.1087686397126544e-06, 'epoch': 38.71})   +03/17 [18:43:22] INFO  | >> Step 16000, Loss: {'action_dit_loss': 0.09543992578983307, 'mse_score': 0.0008237586356699466, ]8;id=991340;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=644986;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015480397269129753, 'model_time': 1.9095229338854551, 'learning_rate':   +  2.071629619795425e-06, 'epoch': 38.83})   +03/17 [18:44:57] INFO  | >> Step 16050, Loss: {'action_dit_loss': 0.06510099768638611, 'data_time': 0.0029947631992399693, ]8;id=909095;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=690909;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9097746461629868, 'learning_rate': 2.034839144007362e-06, 'epoch': 38.96})   +03/17 [18:46:35] INFO  | >> Step 16100, Loss: {'action_dit_loss': 0.09615461528301239, 'mse_score': 0.000981459766626358, ]8;id=32663;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=63780;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.004457435104995966, 'model_time': 1.9048752626404166, 'learning_rate':   +  1.9984012468387285e-06, 'epoch': 39.08})   +03/17 [18:48:11] INFO  | >> Step 16150, Loss: {'action_dit_loss': 0.015608040615916252, 'data_time': 0.00015380186960101128, ]8;id=719425;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=113206;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9129857788793743, 'learning_rate': 1.9623199241155684e-06, 'epoch': 39.2})   +03/17 [18:49:49] INFO  | >> Step 16200, Loss: {'action_dit_loss': 0.11981385946273804, 'mse_score': 0.00038094092160463334, ]8;id=77060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=942949;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015112105756998062, 'model_time': 1.9090069639496505, 'learning_rate':   +  1.9265991325615135e-06, 'epoch': 39.32})   +03/17 [18:51:25] INFO  | >> Step 16250, Loss: {'action_dit_loss': 0.09206418693065643, 'data_time': 0.003734349738806486, ]8;id=68872;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=132321;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9054608759470284, 'learning_rate': 1.8912427893638996e-06, 'epoch': 39.44})   +03/17 [18:53:02] INFO  | >> Step 16300, Loss: {'action_dit_loss': 0.02983720600605011, 'mse_score': 0.0002204508287832141, ]8;id=574993;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=746746;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001563909463584423, 'model_time': 1.9108851426281035, 'learning_rate':   +  1.856254771744185e-06, 'epoch': 39.56})   +03/17 [18:54:39] INFO  | >> Step 16350, Loss: {'action_dit_loss': 0.04159318655729294, 'data_time': 0.0022657900117337704, ]8;id=309222;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=475755;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9065173948183656, 'learning_rate': 1.8216389165327797e-06, 'epoch': 39.68})   +03/17 [18:56:17] INFO  | >> Step 16400, Loss: {'action_dit_loss': 0.05455640330910683, 'mse_score': 0.0002121478784829378, ]8;id=831621;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=735869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001610112376511097, 'model_time': 1.9110691212117672, 'learning_rate':   +  1.7873990197482962e-06, 'epoch': 39.81})   +03/17 [18:57:52] INFO  | >> Step 16450, Loss: {'action_dit_loss': 0.09696020185947418, 'data_time': 0.00154128298163414, ]8;id=920341;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=806315;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9064115430228412, 'learning_rate': 1.753538836181262e-06, 'epoch': 39.93})   +03/17 [18:59:31] INFO  | >> Step 16500, Loss: {'action_dit_loss': 0.031449005007743835, 'mse_score': 0.00044736871495842934, ]8;id=450961;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=473489;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002169701736420393, 'model_time': 1.904911265708506, 'learning_rate':   +  1.7200620789823769e-06, 'epoch': 40.05})   +03/17 [19:01:06] INFO  | >> Step 16550, Loss: {'action_dit_loss': 0.034622590988874435, 'data_time': 0.00016359006986021996, ]8;id=867611;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=475528;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9091085698455572, 'learning_rate': 1.6869724192553168e-06, 'epoch': 40.17})   +03/17 [19:02:44] INFO  | >> Step 16600, Loss: {'action_dit_loss': 0.226532980799675, 'mse_score': 0.00031666059512645004, ]8;id=327730;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=447494;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0015422189608216286, 'model_time': 1.9054935537278652, 'learning_rate':   +  1.6542734856541577e-06, 'epoch': 40.29})   +03/17 [19:04:19] INFO  | >> Step 16650, Loss: {'action_dit_loss': 0.01595148630440235, 'data_time': 0.0023526279255747795, ]8;id=999914;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=160053;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9052891917526722, 'learning_rate': 1.6219688639854507e-06, 'epoch': 40.41})   +03/17 [19:05:57] INFO  | >> Step 16700, Loss: {'action_dit_loss': 0.05268511548638344, 'mse_score': 0.0003534006187692285, ]8;id=95656;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=872176;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015462888404726982, 'model_time': 1.9113768837414682, 'learning_rate':   +  1.5900620968150015e-06, 'epoch': 40.53})   +03/17 [19:07:34] INFO  | >> Step 16750, Loss: {'action_dit_loss': 0.06029694527387619, 'data_time': 0.0013826568610966206, ]8;id=780758;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=774683;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9077837099321187, 'learning_rate': 1.5585566830793883e-06, 'epoch': 40.66})   +03/17 [19:09:12] INFO  | >> Step 16800, Loss: {'action_dit_loss': 0.033570460975170135, 'mse_score': 0.000178184499964118, ]8;id=62894;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=614953;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001531289890408516, 'model_time': 1.9080041190609336, 'learning_rate':   +  1.5274560777022613e-06, 'epoch': 40.78})   +03/17 [19:10:47] INFO  | >> Step 16850, Loss: {'action_dit_loss': 0.10445236414670944, 'data_time': 0.0001510302536189556, ]8;id=128168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=430764;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9070428260602057, 'learning_rate': 1.4967636912154707e-06, 'epoch': 40.9})   +03/17 [19:12:25] INFO  | >> Step 16900, Loss: {'action_dit_loss': 0.023094002157449722, 'mse_score': 0.00041328552179038526, ]8;id=786730;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=443481;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.003222211729735136, 'model_time': 1.9081761091947556, 'learning_rate':   +  1.4664828893850677e-06, 'epoch': 41.02})   +03/17 [19:14:00] INFO  | >> Step 16950, Loss: {'action_dit_loss': 0.04611852765083313, 'data_time': 0.00015803007408976555, ]8;id=301601;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=629575;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9057124410755932, 'learning_rate': 1.436616992842207e-06, 'epoch': 41.14})   +03/17 [19:15:38] INFO  | >> Step 17000, Loss: {'action_dit_loss': 0.030866915360093117, 'mse_score': 0.00018494164105504752, ]8;id=532060;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=223072;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00014904001727700233, 'model_time': 1.9045366900973022, 'learning_rate': 1.407169276719e-06,   +  'epoch': 41.26})   +03/17 [19:17:15] INFO  | >> Step 17050, Loss: {'action_dit_loss': 0.024937372654676437, 'data_time': 0.0023725959472358227, ]8;id=888432;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=113475;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9045488080009818, 'learning_rate': 1.378142970289367e-06, 'epoch': 41.38})   +03/17 [19:18:52] INFO  | >> Step 17100, Loss: {'action_dit_loss': 0.006422225385904312, 'mse_score': 0.00011356999166309834, ]8;id=120465;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=799649;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001536407507956028, 'model_time': 1.9075376191176474, 'learning_rate':   +  1.3495412566149058e-06, 'epoch': 41.5})   +03/17 [19:20:29] INFO  | >> Step 17150, Loss: {'action_dit_loss': 0.029122760519385338, 'data_time': 0.00016091112047433853, ]8;id=449956;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=886209;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9110086248256266, 'learning_rate': 1.3213672721958309e-06, 'epoch': 41.63})   +03/17 [19:22:06] INFO  | >> Step 17200, Loss: {'action_dit_loss': 0.05601122975349426, 'mse_score': 0.00017756279557943345, ]8;id=643378;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=707764;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015295995399355888, 'model_time': 1.9058441170491278, 'learning_rate':   +  1.2936241066270278e-06, 'epoch': 41.75})   +03/17 [19:23:42] INFO  | >> Step 17250, Loss: {'action_dit_loss': 0.2047179937362671, 'data_time': 0.00014739017933607101, ]8;id=974215;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=689786;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.907091146800667, 'learning_rate': 1.2663148022592365e-06, 'epoch': 41.87})   +03/17 [19:25:20] INFO  | >> Step 17300, Loss: {'action_dit_loss': 0.01736447960138321, 'mse_score': 0.0007893623784184456, ]8;id=189179;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=286544;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.003640097100287676, 'model_time': 1.9069496071897447, 'learning_rate':   +  1.2394423538654296e-06, 'epoch': 41.99})   +03/17 [19:26:56] INFO  | >> Step 17350, Loss: {'action_dit_loss': 0.01671125739812851, 'data_time': 0.00015868013724684715, ]8;id=356331;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=368074;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9051998793147504, 'learning_rate': 1.2130097083123971e-06, 'epoch': 42.11})   +03/17 [19:28:33] INFO  | >> Step 17400, Loss: {'action_dit_loss': 0.03371236473321915, 'mse_score': 0.00021703990641981364, ]8;id=593830;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=689275;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017721019685268402, 'model_time': 1.9063131655566394, 'learning_rate':   +  1.1870197642375935e-06, 'epoch': 42.23})   +03/17 [19:30:09] INFO  | >> Step 17450, Loss: {'action_dit_loss': 0.013122839853167534, 'data_time': 0.002269197255373001, ]8;id=663928;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=32146;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9046421190723777, 'learning_rate': 1.1614753717312683e-06, 'epoch': 42.35})   +03/17 [19:31:46] INFO  | >> Step 17500, Loss: {'action_dit_loss': 0.10515186935663223, 'mse_score': 0.0009346059523522854, ]8;id=394468;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=440226;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.001407558098435402, 'model_time': 1.9073442299850285, 'learning_rate':   +  1.136379332023916e-06, 'epoch': 42.48})   +03/17 [19:33:23] INFO  | >> Step 17550, Loss: {'action_dit_loss': 0.012960178777575493, 'data_time': 0.00015990901738405228, ]8;id=326775;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=756648;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 2.167519652284682, 'learning_rate': 1.1117343971791005e-06, 'epoch': 42.6})   +03/17 [19:35:02] INFO  | >> Step 17600, Loss: {'action_dit_loss': 0.02522997185587883, 'mse_score': 0.0001185103552415967, ]8;id=625185;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=89083;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015786988660693169, 'model_time': 1.9038924621418118, 'learning_rate':   +  1.0875432697916492e-06, 'epoch': 42.72})   +03/17 [19:36:37] INFO  | >> Step 17650, Loss: {'action_dit_loss': 0.06354739516973495, 'data_time': 0.0023530051112174988, ]8;id=791083;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=647850;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.907634495291859, 'learning_rate': 1.0638086026912873e-06, 'epoch': 42.84})   +03/17 [19:38:15] INFO  | >> Step 17700, Loss: {'action_dit_loss': 0.018092205747961998, 'mse_score': 0.0004259204491972923, ]8;id=464637;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=694093;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0031242631375789642, 'model_time': 1.9021744262427092, 'learning_rate':   +  1.0405329986517301e-06, 'epoch': 42.96})   +03/17 [19:39:50] INFO  | >> Step 17750, Loss: {'action_dit_loss': 0.011360865086317062, 'data_time': 0.00017037009820342064, ]8;id=434303;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=286436;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9088522759266198, 'learning_rate': 1.017719010105253e-06, 'epoch': 43.08})   +03/17 [19:41:28] INFO  | >> Step 17800, Loss: {'action_dit_loss': 0.014194699935615063, 'mse_score': 0.00022523370571434498, ]8;id=361939;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=450797;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001591588370501995, 'model_time': 1.9104393869638443, 'learning_rate':   +  9.953691388627887e-07, 'epoch': 43.2})   +03/17 [19:43:04] INFO  | >> Step 17850, Loss: {'action_dit_loss': 0.04291548952460289, 'data_time': 0.0024739052169024944, ]8;id=621946;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=510271;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9062939248979092, 'learning_rate': 9.734858358395808e-07, 'epoch': 43.33})   +03/17 [19:44:42] INFO  | >> Step 17900, Loss: {'action_dit_loss': 0.17578813433647156, 'mse_score': 0.0008534571155905723, ]8;id=231230;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=414463;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015729013830423355, 'model_time': 1.9083651001565158, 'learning_rate':   +  9.520715007864082e-07, 'epoch': 43.45})   +03/17 [19:46:19] INFO  | >> Step 17950, Loss: {'action_dit_loss': 0.004342367872595787, 'data_time': 0.6123822103254497, ]8;id=316061;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=991244;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 2.020832866895944, 'learning_rate': 9.311284820264245e-07, 'epoch': 43.57})   +03/17 [19:47:56] INFO  | >> Step 18000, Loss: {'action_dit_loss': 0.02222990058362484, 'mse_score': 0.00011459321249276399, ]8;id=267931;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=303507;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001486889086663723, 'model_time': 1.9110160009004176, 'learning_rate':   +  9.106590761976454e-07, 'epoch': 43.69})   +03/17 [19:49:32] INFO  | >> Step 18050, Loss: {'action_dit_loss': 0.009722510352730751, 'data_time': 0.003249472938477993, ]8;id=783301;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=451574;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9050734979100525, 'learning_rate': 8.906655280010895e-07, 'epoch': 43.81})   +03/17 [19:51:10] INFO  | >> Step 18100, Loss: {'action_dit_loss': 0.026501668617129326, 'mse_score': 0.00034130574204027653, ]8;id=737852;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=241288;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00022576376795768738, 'model_time': 1.9112194296903908, 'learning_rate':   +  8.71150029954623e-07, 'epoch': 43.93})   +03/17 [19:52:46] INFO  | >> Step 18150, Loss: {'action_dit_loss': 0.027421168982982635, 'data_time': 0.001494106836616993, ]8;id=845362;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=371371;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9038510797545314, 'learning_rate': 8.52114722152525e-07, 'epoch': 44.05})   +03/17 [19:54:24] INFO  | >> Step 18200, Loss: {'action_dit_loss': 0.06443629413843155, 'mse_score': 0.0002073060255497694, ]8;id=44357;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=457409;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0024265339598059654, 'model_time': 1.9032263671979308, 'learning_rate':   +  8.335616920308061e-07, 'epoch': 44.17})   +03/17 [19:55:59] INFO  | >> Step 18250, Loss: {'action_dit_loss': 0.007727435790002346, 'data_time': 0.0025655580684542656, ]8;id=903987;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=328267;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9031666959635913, 'learning_rate': 8.154929741382922e-07, 'epoch': 44.3})   +03/17 [19:57:37] INFO  | >> Step 18300, Loss: {'action_dit_loss': 0.015807030722498894, 'mse_score': 0.0001127987401559949, ]8;id=743963;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=671237;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015702703967690468, 'model_time': 1.9083956638351083, 'learning_rate':   +  7.979105499135157e-07, 'epoch': 44.42})   +03/17 [19:59:12] INFO  | >> Step 18350, Loss: {'action_dit_loss': 0.02642079070210457, 'data_time': 0.0014127320609986782, ]8;id=21869;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=340544;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9034740976057947, 'learning_rate': 7.808163474674291e-07, 'epoch': 44.54})   +03/17 [20:00:52] INFO  | >> Step 18400, Loss: {'action_dit_loss': 0.006941494531929493, 'mse_score': 0.00011294863652437926, ]8;id=482446;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=872442;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015908805653452873, 'model_time': 1.90557641396299, 'learning_rate':   +  7.642122413719652e-07, 'epoch': 44.66})   +03/17 [20:02:28] INFO  | >> Step 18450, Loss: {'action_dit_loss': 0.015344022773206234, 'data_time': 0.0018988000229001045, ]8;id=457925;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=885506;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9033209569752216, 'learning_rate': 7.481000524544686e-07, 'epoch': 44.78})   +03/17 [20:04:06] INFO  | >> Step 18500, Loss: {'action_dit_loss': 0.007406604941934347, 'mse_score': 0.0002020261948928237, ]8;id=419902;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=549414;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00225650891661644, 'model_time': 1.9068243238143623, 'learning_rate': 7.324815475980207e-07,   +  'epoch': 44.9})   +03/17 [20:05:41] INFO  | >> Step 18550, Loss: {'action_dit_loss': 0.026141498237848282, 'data_time': 0.0024721878580749035, ]8;id=782033;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=356005;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9046504986472428, 'learning_rate': 7.173584395476852e-07, 'epoch': 45.02})   +03/17 [20:07:19] INFO  | >> Step 18600, Loss: {'action_dit_loss': 0.016169138252735138, 'mse_score': 0.00020781061612069608, ]8;id=80089;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=535280;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.001525938045233488, 'model_time': 1.9034337420016527, 'learning_rate':   +  7.027323867226807e-07, 'epoch': 45.15})   +03/17 [20:08:54] INFO  | >> Step 18650, Loss: {'action_dit_loss': 0.007548999506980181, 'data_time': 0.002535221166908741, ]8;id=203322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=949928;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 2.162054596003145, 'learning_rate': 6.886049930345204e-07, 'epoch': 45.27})   +03/17 [20:10:33] INFO  | >> Step 18700, Loss: {'action_dit_loss': 0.008174508810043335, 'mse_score': 0.00017037459183484317, ]8;id=858729;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=676796;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0015943092294037342, 'model_time': 1.9060736829414964, 'learning_rate':   +  6.749778077111241e-07, 'epoch': 45.39})   +03/17 [20:12:08] INFO  | >> Step 18750, Loss: {'action_dit_loss': 0.022106759250164032, 'data_time': 0.00014703907072544098, ]8;id=153557;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=268402;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9070969931781292, 'learning_rate': 6.61852325126926e-07, 'epoch': 45.51})   +03/17 [20:13:47] INFO  | >> Step 18800, Loss: {'action_dit_loss': 0.006941231898963451, 'mse_score': 0.0001138310763053596, ]8;id=797143;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=796028;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001521492376923561, 'model_time': 1.903787184972316, 'learning_rate':   +  6.492299846390024e-07, 'epoch': 45.63})   +03/17 [20:15:22] INFO  | >> Step 18850, Loss: {'action_dit_loss': 0.004950109403580427, 'data_time': 0.00014678901061415672, ]8;id=810389;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=658452;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.906820961739868, 'learning_rate': 6.371121704292292e-07, 'epoch': 45.75})   +03/17 [20:17:00] INFO  | >> Step 18900, Loss: {'action_dit_loss': 0.013309603556990623, 'mse_score': 0.0002665790030732751, ]8;id=796788;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=607616;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001588989980518818, 'model_time': 1.9077345533296466, 'learning_rate':   +  6.255002113524885e-07, 'epoch': 45.87})   +03/17 [20:18:36] INFO  | >> Step 18950, Loss: {'action_dit_loss': 0.024576250463724136, 'data_time': 0.00016296887770295143, ]8;id=591912;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=674225;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 2.142749924212694, 'learning_rate': 6.143953807909497e-07, 'epoch': 46.0})   +03/17 [20:20:14] INFO  | >> Step 19000, Loss: {'action_dit_loss': 0.057550907135009766, 'mse_score': 0.0001208201632834971, ]8;id=657685;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=331495;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0045845829881727695, 'model_time': 1.9061215668916702, 'learning_rate':   +  6.03798896514423e-07, 'epoch': 46.12})   +03/17 [20:21:49] INFO  | >> Step 19050, Loss: {'action_dit_loss': 0.00896362029016018, 'data_time': 0.00016233883798122406, ]8;id=463688;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=662055;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9104097969830036, 'learning_rate': 5.937119205468217e-07, 'epoch': 46.24})   +03/17 [20:23:27] INFO  | >> Step 19100, Loss: {'action_dit_loss': 0.012635312043130398, 'mse_score': 0.00016165217384696008, ]8;id=58900;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=369038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00015412969514727592, 'model_time': 1.9107916560024023, 'learning_rate':   +  5.841355590387291e-07, 'epoch': 46.36})   +03/17 [20:25:02] INFO  | >> Step 19150, Loss: {'action_dit_loss': 0.0702657625079155, 'data_time': 0.003856249153614044, ]8;id=473866;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=39434;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9025515750981867, 'learning_rate': 5.750708621461011e-07, 'epoch': 46.48})   +03/17 [20:26:41] INFO  | >> Step 19200, Loss: {'action_dit_loss': 0.015433033928275108, 'mse_score': 0.00011285431683063507, ]8;id=80458;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=675981;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00017784908413887024, 'model_time': 1.9062115019187331, 'learning_rate':   +  5.665188239151019e-07, 'epoch': 46.6})   +03/17 [20:28:18] INFO  | >> Step 19250, Loss: {'action_dit_loss': 0.005583202000707388, 'data_time': 0.0016450723633170128, ]8;id=622937;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=531699;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9060129630379379, 'learning_rate': 5.584803821730961e-07, 'epoch': 46.72})   +03/17 [20:29:55] INFO  | >> Step 19300, Loss: {'action_dit_loss': 0.034672174602746964, 'mse_score': 0.0001295587746426463, ]8;id=830281;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=774814;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0015559829771518707, 'model_time': 1.9051440791226923, 'learning_rate':   +  5.509564184258055e-07, 'epoch': 46.84})   +03/17 [20:31:31] INFO  | >> Step 19350, Loss: {'action_dit_loss': 0.03337384760379791, 'data_time': 0.0014739139005541801, ]8;id=849153;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=599425;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9025973258540034, 'learning_rate': 5.439477577606429e-07, 'epoch': 46.97})   +03/17 [20:33:08] INFO  | >> Step 19400, Loss: {'action_dit_loss': 0.017817595973610878, 'mse_score': 0.00014071431942284108, ]8;id=498733;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=525721;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002581328619271517, 'model_time': 1.9033384840004146, 'learning_rate':   +  5.374551687562306e-07, 'epoch': 47.09})   +03/17 [20:34:44] INFO  | >> Step 19450, Loss: {'action_dit_loss': 0.003270429791882634, 'data_time': 0.00015335017815232277, ]8;id=850360;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=942802;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9080021670088172, 'learning_rate': 5.314793633981169e-07, 'epoch': 47.21})   +03/17 [20:36:22] INFO  | >> Step 19500, Loss: {'action_dit_loss': 0.022535253316164017, 'mse_score': 0.0001233785762451589, ]8;id=529057;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=677513;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002403438091278076, 'model_time': 1.904097743332386, 'learning_rate': 5.260209970007018e-07,   +  'epoch': 47.33})   +03/17 [20:37:58] INFO  | >> Step 19550, Loss: {'action_dit_loss': 0.005001535639166832, 'data_time': 0.002410467714071274, ]8;id=459022;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=460767;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9062168058007956, 'learning_rate': 5.2108066813537e-07, 'epoch': 47.45})   +03/17 [20:39:37] INFO  | >> Step 19600, Loss: {'action_dit_loss': 0.0037893103435635567, 'mse_score': 0.00011189257493242622, ]8;id=381574;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=390963;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0001587793231010437, 'model_time': 1.9109589620493352, 'learning_rate':   +  5.166589185648543e-07, 'epoch': 47.57})   +03/17 [20:41:12] INFO  | >> Step 19650, Loss: {'action_dit_loss': 0.03719101473689079, 'data_time': 0.00015829922631382942, ]8;id=812085;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=354803;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9155596611090004, 'learning_rate': 5.127562331838241e-07, 'epoch': 47.69})   +03/17 [20:42:50] INFO  | >> Step 19700, Loss: {'action_dit_loss': 0.07427578419446945, 'mse_score': 0.0002040374791249633, ]8;id=661532;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=678748;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.002392658032476902, 'model_time': 1.9050067136995494, 'learning_rate':   +  5.093730399657101e-07, 'epoch': 47.82})   +03/17 [20:44:26] INFO  | >> Step 19750, Loss: {'action_dit_loss': 0.0051203202456235886, 'data_time': 0.00016245897859334946, ]8;id=585066;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=711332;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9099454800598323, 'learning_rate': 5.065097099157743e-07, 'epoch': 47.94})   +03/17 [20:46:04] INFO  | >> Step 19800, Loss: {'action_dit_loss': 0.04555533826351166, 'mse_score': 0.00011824020184576511, ]8;id=892931;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=688457;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.0015852423384785652, 'model_time': 1.9063518638722599, 'learning_rate':   +  5.041665570304227e-07, 'epoch': 48.06})   +03/17 [20:47:40] INFO  | >> Step 19850, Loss: {'action_dit_loss': 0.003039469476789236, 'data_time': 0.004827556200325489, ]8;id=349555;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=85461;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9048559642396867, 'learning_rate': 5.023438382627749e-07, 'epoch': 48.18})   +03/17 [20:49:17] INFO  | >> Step 19900, Loss: {'action_dit_loss': 0.00893434602767229, 'mse_score': 0.00011474740458652377, ]8;id=366813;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=325301;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016576889902353287, 'model_time': 1.912163175176829, 'learning_rate':   +  5.010417534944839e-07, 'epoch': 48.3})   +03/17 [20:50:53] INFO  | >> Step 19950, Loss: {'action_dit_loss': 0.04118925333023071, 'data_time': 0.000174839049577713, ]8;id=135215;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=623945;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'model_time': 1.9080084268935025, 'learning_rate': 5.002604455138174e-07, 'epoch': 48.42})   +03/17 [20:52:32] INFO  | >> Step 20000, Loss: {'action_dit_loss': 0.004148094914853573, 'mse_score': 0.00011188562493771314, ]8;id=586072;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=394976;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\ +  'data_time': 0.00016283895820379257, 'model_time': 1.9075486729852855, 'learning_rate': 5e-07, 'epoch':   +  48.54})   +✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/checkpoints/steps_20000 +03/17 [20:52:42] INFO  | >> 📊 Saving accessed configuration... ]8;id=134001;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=702667;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#240\240]8;;\ +  INFO  | >> ✅ Configuration files saved ]8;id=718709;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=956771;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\ +03/17 [20:52:53] INFO  | >> Training complete. Final model saved at ]8;id=533188;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=379404;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#384\384]8;;\ +  ./results/Checkpoints/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/final_model   diff --git a/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/wandb/wandb/run-20260317_100615-4gprtyxj/files/requirements.txt b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/wandb/wandb/run-20260317_100615-4gprtyxj/files/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..33491c4b7fdcd2a21a3c18e0df523fddefb31ef2 --- /dev/null +++ b/fastumi_pickandplace_discrete_diffusion_real_0314_no_state/wandb/wandb/run-20260317_100615-4gprtyxj/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 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