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+ - --wandb_project
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+ email: wangpc@berkeley.edu
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+ executable: /home/wangpc/miniconda3/envs/starVLA/bin/python3.10
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+ git:
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+ commit: 515a689913fe6eeb5fdecf00cc1a4ca516142035
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+ remote: https://github.com/Kaiwen-Hong/starVLA.git
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+ 03/… INFO | ]8;id=459469;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train…]8;;\
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+ 03/19 [20:43:54] INFO  | >> Step 23850, Loss: {'action_dit_loss': ]8;id=641390;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=846305;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
760
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761
+   'model_time': 2.5005747489994974, 'learning_rate':  
762
+   1.76350488149521e-06, 'epoch': 57.89})  
763
+ 03/19 [20:46:00] INFO  | >> Step 23900, Loss: {'action_dit_loss': ]8;id=856795;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=581542;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
764
+   0.0036558923311531544, 'mse_score': 0.0005408436525613069,  
765
+   'data_time': 0.00015746999997645617, 'model_time':  
766
+   2.4975768359945505, 'learning_rate': 1.7425166805380468e-06,  
767
+   'epoch': 58.01})  
768
+ 03/19 [20:48:05] INFO  | >> Step 23950, Loss: {'action_dit_loss': ]8;id=984539;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=920782;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
769
+   0.005053722765296698, 'data_time': 0.00229559500439791,  
770
+   'model_time': 2.525108847003139, 'learning_rate':  
771
+   1.7216649751021758e-06, 'epoch': 58.13})  
772
+ 03/19 [20:50:12] INFO  | >> Step 24000, Loss: {'action_dit_loss': ]8;id=112235;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=778480;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
773
+   0.004739336669445038, 'mse_score': 0.0005466899834573269,  
774
+   'data_time': 0.0003341289993841201, 'model_time':  
775
+   2.5050855180015787, 'learning_rate': 1.7009505883772253e-06,  
776
+   'epoch': 58.25})  
777
+ 03/19 [20:52:17] INFO  | >> Step 24050, Loss: {'action_dit_loss': ]8;id=634210;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=220861;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
778
+   0.05161502584815025, 'data_time': 0.00015862900181673467,  
779
+   'model_time': 2.49813020399597, 'learning_rate':  
780
+   1.680374338131713e-06, 'epoch': 58.37})  
781
+ 03/19 [20:54:24] INFO  | >> Step 24100, Loss: {'action_dit_loss': ]8;id=665046;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=894343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
782
+   0.002284042537212372, 'mse_score': 0.0006334856618195773,  
783
+   'data_time': 0.0016345650001312606, 'model_time':  
784
+   2.4849958960039658, 'learning_rate': 1.6599370366807655e-06,  
785
+   'epoch': 58.5})  
786
+ 03/19 [20:56:29] INFO  | >> Step 24150, Loss: {'action_dit_loss': ]8;id=949314;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=952273;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
787
+   0.0049324240535497665, 'data_time': 0.0016192750044865534,  
788
+   'model_time': 2.524680960996193, 'learning_rate':  
789
+   1.6396394908540526e-06, 'epoch': 58.62})  
790
+ 03/19 [20:58:35] INFO  | >> Step 24200, Loss: {'action_dit_loss': ]8;id=444151;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=869634;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
791
+   0.005406980402767658, 'mse_score': 0.0005715555977076292,  
792
+   'data_time': 0.0013215760045568459, 'model_time':  
793
+   2.4901991140068276, 'learning_rate': 1.6194825019639259e-06,  
794
+   'epoch': 58.74})  
795
+ 03/19 [21:00:40] INFO  | >> Step 24250, Loss: {'action_dit_loss': ]8;id=808577;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=137174;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
796
+   0.014176911674439907, 'data_time': 0.0013919760021963157,  
797
+   'model_time': 2.4758460029988782, 'learning_rate':  
798
+   1.599466865773794e-06, 'epoch': 58.86})  
799
+ 03/19 [21:02:46] INFO  | >> Step 24300, Loss: {'action_dit_loss': ]8;id=463298;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=578478;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
800
+   0.0042710136622190475, 'mse_score': 0.0005380698479712009,  
801
+   'data_time': 0.001311126005020924, 'model_time':  
802
+   2.485947765002493, 'learning_rate': 1.5795933724667014e-06,  
803
+   'epoch': 58.98})  
804
+ 03/19 [21:04:51] INFO  | >> Step 24350, Loss: {'action_dit_loss': 0.014845605008304119, 'data_time': ]8;id=117308;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=78898;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
805
+   0.001491985000029672, 'model_time': 2.4993626499999664, 'learning_rate':  
806
+   1.559862806614135e-06, 'epoch': 59.1})  
807
+ 03/19 [21:06:57] INFO  | >> Step 24400, Loss: {'action_dit_loss': 0.0017916307551786304, 'mse_score': 0.0004991780035197735, 'data_time': 0.0016954870006884448, ]8;id=156294;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=572092;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
808
+   'model_time': 2.4905863979947753, 'learning_rate': 1.5402759471450495e-06, 'epoch': 59.22})  
809
+ 03/19 [21:09:02] INFO  | >> Step 24450, Loss: {'action_dit_loss': 0.002327022608369589, 'data_time': 0.00138090400287183, 'model_time': 2.5038449019994005, ]8;id=579364;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=155287;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
810
+   'learning_rate': 1.5208335673151215e-06, 'epoch': 59.34})  
811
+ 03/19 [21:11:09] INFO  | >> Step 24500, Loss: {'action_dit_loss': 0.00218600663356483, 'mse_score': 0.0006200706120580435, 'data_time': 0.002313798999239225, ]8;id=382364;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=942650;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
812
+   'model_time': 2.4787663250026526, 'learning_rate': 1.501536434676212e-06, 'epoch': 59.47})  
813
+ 03/19 [21:13:15] INFO  | >> Step 24550, Loss: {'action_dit_loss': 0.009440260007977486, 'data_time': 0.0004021819986519404, 'model_time': 2.5202857269978267, ]8;id=942590;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=375190;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
814
+   'learning_rate': 1.4823853110460781e-06, 'epoch': 59.59})  
815
+ 03/19 [21:15:20] INFO  | >> Step 24600, Loss: {'action_dit_loss': 0.0060526905581355095, 'mse_score': 0.0005597059614956379, 'data_time': 0.0020985859955544583, ]8;id=107786;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=370858;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
816
+   'model_time': 2.512486938998336, 'learning_rate': 1.463380952478288e-06, 'epoch': 59.71})  
817
+ 03/19 [21:17:25] INFO  | >> Step 24650, Loss: {'action_dit_loss': 0.0023623572196811438, 'data_time': 0.002349336995393969, 'model_time': 2.4911487979989033, ]8;id=426117;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=650810;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
818
+   'learning_rate': 1.444524109232377e-06, 'epoch': 59.83})  
819
+ 03/19 [21:19:31] INFO  | >> Step 24700, Loss: {'action_dit_loss': 0.033016230911016464, 'mse_score': 0.0013714983128011228, 'data_time': 0.00015810799959581345, ]8;id=248237;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=906604;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
820
+   'model_time': 2.501686209005129, 'learning_rate': 1.425815525744229e-06, 'epoch': 59.95})  
821
+ 03/19 [21:21:37] INFO  | >> Step 24750, Loss: {'action_dit_loss': 0.002742661163210869, 'data_time': 0.0024169929965864867, 'model_time': 2.4710368890009704, ]8;id=924231;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=432322;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
822
+   'learning_rate': 1.407255940596686e-06, 'epoch': 60.07})  
823
+ 03/19 [21:23:42] INFO  | >> Step 24800, Loss: {'action_dit_loss': 0.0023950301110744476, 'mse_score': 0.0005127122160047293, 'data_time': ]8;id=348321;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=820391;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
824
+   0.00017657800344750285, 'model_time': 2.5129510530023254, 'learning_rate': 1.3888460864903902e-06, 'epoch': 60.19})  
825
+ 03/19 [21:25:48] INFO  | >> Step 24850, Loss: {'action_dit_loss': 0.004489848855882883, 'data_time': 0.00015835899830562994, 'model_time': 2.529759049000859, ]8;id=906036;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=770763;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
826
+   'learning_rate': 1.3705866902148586e-06, 'epoch': 60.32})  
827
+ 03/19 [21:27:55] INFO  | >> Step 24900, Loss: {'action_dit_loss': 0.0039020359981805086, 'mse_score': 0.000582081452012062, 'data_time': 0.0031235810020007193, ]8;id=825622;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=735343;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
828
+   'model_time': 2.5206645029975334, 'learning_rate': 1.3524784726197914e-06, 'epoch': 60.44})  
829
+ 03/19 [21:30:00] INFO  | >> Step 24950, Loss: {'action_dit_loss': 0.006844583433121443, 'data_time': 0.00023536799562862143, 'model_time': 2.4788829820026876, ]8;id=900300;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=493554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
830
+   'learning_rate': 1.334522148586615e-06, 'epoch': 60.56})  
831
+ 03/19 [21:32:06] INFO  | >> Step 25000, Loss: {'action_dit_loss': 0.050317492336034775, 'mse_score': ]8;id=482662;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=366643;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\253]8;;\
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833
+   2.5149628489962197, 'learning_rate': 1.316718427000253e-06, 'epoch': 60.68})  
834
+ ✅ Checkpoint saved at ./results/Checkpoints/fastumi_pickandplace_qwenPI_no_state_fixgripper/checkpoints/steps_25000
835
+ 03/19 [21:32:14] INFO  | >> 📊 Saving accessed configuration... ]8;id=233752;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=24813;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#240\240]8;;\
836
+   INFO  | >> ✅ Configuration files saved ]8;id=906339;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\train_starvla.py]8;;\:]8;id=72792;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#243\243]8;;\
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+ File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 448, in <module>
838
+ main(cfg)
839
+ File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 413, in main
840
+ trainer.train()
841
+ File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 287, in train
842
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843
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844
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845
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846
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848
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849
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850
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863
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864
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865
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+ [rank0]: Traceback (most recent call last):
867
+ [rank0]: File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 448, in <module>
868
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869
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871
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872
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873
+ [rank0]: File "/scratch/wangpc/starVLA/starVLA/training/train_starvla.py", line 357, in _train_step
874
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875
+ [rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/accelerate/accelerator.py", line 2351, in backward
876
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877
+ [rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/accelerate/utils/deepspeed.py", line 266, in backward
878
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+ [rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/deepspeed/utils/nvtx.py", line 20, in wrapped_fn
880
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+ [rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/deepspeed/runtime/engine.py", line 2216, in backward
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883
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884
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885
+ [rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/deepspeed/runtime/zero/stage_1_and_2.py", line 2082, in backward
886
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888
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+ [rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/_tensor.py", line 648, in backward
890
+ [rank0]: torch.autograd.backward(
891
+ [rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/autograd/__init__.py", line 353, in backward
892
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893
+ [rank0]: File "/home/wangpc/miniconda3/envs/starVLA/lib/python3.10/site-packages/torch/autograd/graph.py", line 824, in _engine_run_backward
894
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