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.gitattributes +1 -0
fastumi_pickandplace_qwenPI_no_state_fixgripper/dataset_statistics.json +178 -0
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/debug-internal.log +6 -0
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/debug.log +0 -0
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_163159-e71tc6ad/files/output.log +64 -0
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_163159-e71tc6ad/files/requirements.txt +154 -0
fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_163159-e71tc6ad/files/wandb-metadata.json +161 -0
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fastumi_pickandplace_qwenPI_no_state_fixgripper/wandb/wandb/run-20260318_163159-e71tc6ad/run-e71tc6ad.wandb +3 -0

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 fastumi_pickandplace_qwenPI_no_state/wandb/wandb/run-20260316_233258-pub06q0f/run-pub06q0f.wandb filter=lfs diff=lfs merge=lfs -text
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+[2;36m03/18 [16:53:07][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m500[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.20109975337982178[0m, [32m'mse_score'[0m: [1;36m0.006498558819293976[0m, [32m'data_time'[0m: [1;36m0.0001530991867184639[0m, [32m'model_time'[0m: [1;36m2.546263766940683[0m, [32m'learning_rate'[0m:              ]8;id=665822;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=179451;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m                 [0m         [1;36m1.0000000000000002e-06[0m, [32m'epoch'[0m: [1;36m1.21[0m[1m}[0m[1m)[0m                                                                                                                                                             [2m                    [0m
+[2;36m03/18 [16:55:13][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m550[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.13089899718761444[0m, [32m'data_time'[0m: [1;36m0.002253415994346142[0m, [32m'model_time'[0m: [1;36m2.5158674572594464[0m, [32m'learning_rate'[0m: [1;36m1.1e-06[0m, [32m'epoch'[0m: [1;36m1.33[0m[1m}[0m[1m)[0m                        ]8;id=484714;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=397887;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m03/18 [16:57:20][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m600[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.3139313757419586[0m, [32m'mse_score'[0m: [1;36m0.0067351959645748135[0m, [32m'data_time'[0m: [1;36m0.002514365129172802[0m, [32m'model_time'[0m: [1;36m2.501528820954263[0m, [32m'learning_rate'[0m:               ]8;id=584004;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=230283;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m                 [0m         [1;36m1.2000000000000002e-06[0m, [32m'epoch'[0m: [1;36m1.46[0m[1m}[0m[1m)[0m                                                                                                                                                             [2m                    [0m
+[2;36m03/18 [16:59:26][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m650[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.09012889117002487[0m, [32m'data_time'[0m: [1;36m0.00015834858641028404[0m, [32m'model_time'[0m: [1;36m2.514419538900256[0m, [32m'learning_rate'[0m: [1;36m1.3e-06[0m, [32m'epoch'[0m: [1;36m1.58[0m[1m}[0m[1m)[0m                       ]8;id=813694;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=58655;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m03/18 [17:01:33][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m700[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.17475822567939758[0m, [32m'mse_score'[0m: [1;36m0.005626476928591728[0m, [32m'data_time'[0m: [1;36m0.00016234908252954483[0m, [32m'model_time'[0m: [1;36m2.524582619778812[0m, [32m'learning_rate'[0m:             ]8;id=330776;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=420651;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m                 [0m         [1;36m1.4000000000000001e-06[0m, [32m'epoch'[0m: [1;36m1.7[0m[1m}[0m[1m)[0m                                                                                                                                                              [2m                    [0m
+[2;36m03/18 [17:03:38][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m750[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.14785078167915344[0m, [32m'data_time'[0m: [1;36m0.002524315845221281[0m, [32m'model_time'[0m: [1;36m2.532990286126733[0m, [32m'learning_rate'[0m: [1;36m1.5e-06[0m, [32m'epoch'[0m: [1;36m1.82[0m[1m}[0m[1m)[0m                         ]8;id=988712;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=594731;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m03/18 [17:05:45][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m800[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.10871720314025879[0m, [32m'mse_score'[0m: [1;36m0.005852376669645309[0m, [32m'data_time'[0m: [1;36m0.0013487529940903187[0m, [32m'model_time'[0m: [1;36m2.536842277739197[0m, [32m'learning_rate'[0m:              ]8;id=687277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=523481;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m                 [0m         [1;36m1.6000000000000001e-06[0m, [32m'epoch'[0m: [1;36m1.94[0m[1m}[0m[1m)[0m                                                                                                                                                             [2m                    [0m
+[2;36m03/18 [17:07:52][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m850[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.2089097946882248[0m, [32m'data_time'[0m: [1;36m0.00016029924154281616[0m, [32m'model_time'[0m: [1;36m2.5336756338365376[0m, [32m'learning_rate'[0m: [1;36m1.7000000000000002e-06[0m, [32m'epoch'[0m: [1;36m2.06[0m[1m}[0m[1m)[0m        ]8;id=481141;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=149811;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m03/18 [17:09:59][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m900[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0896315947175026[0m, [32m'mse_score'[0m: [1;36m0.00471046231687069[0m, [32m'data_time'[0m: [1;36m0.003941918723285198[0m, [32m'model_time'[0m: [1;36m2.5252352082170546[0m, [32m'learning_rate'[0m:                ]8;id=588637;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=565158;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m                 [0m         [1;36m1.8000000000000001e-06[0m, [32m'epoch'[0m: [1;36m2.18[0m[1m}[0m[1m)[0m                                                                                                                                                             [2m                    [0m
+[2;36m03/18 [17:12:05][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m950[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.060366369783878326[0m, [32m'data_time'[0m: [1;36m0.00015394901856780052[0m, [32m'model_time'[0m: [1;36m2.506456928793341[0m, [32m'learning_rate'[0m: [1;36m1.9000000000000002e-06[0m, [32m'epoch'[0m: [1;36m2.31[0m[1m}[0m[1m)[0m       ]8;id=941435;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=611878;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m03/18 [17:14:12][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1000[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0801122710108757[0m, [32m'mse_score'[0m: [1;36m0.0036376267671585083[0m, [32m'data_time'[0m: [1;36m0.00014691008254885674[0m, [32m'model_time'[0m: [1;36m2.5319684031419456[0m, [32m'learning_rate'[0m:           ]8;id=534277;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=517488;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m                 [0m         [1;36m2.0000000000000003e-06[0m, [32m'epoch'[0m: [1;36m2.43[0m[1m}[0m[1m)[0m                                                                                                                                                             [2m                    [0m
+[2;36m03/18 [17:16:18][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1050[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.08517260104417801[0m, [32m'data_time'[0m: [1;36m0.0015357919037342072[0m, [32m'model_time'[0m: [1;36m2.507738751824945[0m, [32m'learning_rate'[0m: [1;36m2.1000000000000002e-06[0m, [32m'epoch'[0m: [1;36m2.55[0m[1m}[0m[1m)[0m        ]8;id=114975;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=160265;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m03/18 [17:18:24][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1100[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.04756898432970047[0m, [32m'mse_score'[0m: [1;36m0.0033185284584760664[0m, [32m'data_time'[0m: [1;36m0.00373012013733387[0m, [32m'model_time'[0m: [1;36m2.5046266461722553[0m, [32m'learning_rate'[0m: [1;36m2.2e-06[0m,    ]8;id=442666;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=625380;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m                 [0m         [32m'epoch'[0m: [1;36m2.67[0m[1m}[0m[1m)[0m                                                                                                                                                                                     [2m                    [0m
+[2;36m03/18 [17:20:30][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1150[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.08943383395671844[0m, [32m'data_time'[0m: [1;36m0.0001474190503358841[0m, [32m'model_time'[0m: [1;36m2.5383393787778914[0m, [32m'learning_rate'[0m: [1;36m2.3000000000000004e-06[0m, [32m'epoch'[0m: [1;36m2.79[0m[1m}[0m[1m)[0m       ]8;id=490785;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=554816;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m03/18 [17:22:36][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1200[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.04814332723617554[0m, [32m'mse_score'[0m: [1;36m0.003842306509613991[0m, [32m'data_time'[0m: [1;36m0.0001650792546570301[0m, [32m'model_time'[0m: [1;36m2.489359532017261[0m, [32m'learning_rate'[0m:             ]8;id=12038;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=713328;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m                 [0m         [1;36m2.4000000000000003e-06[0m, [32m'epoch'[0m: [1;36m2.91[0m[1m}[0m[1m)[0m                                                                                                                                                             [2m                    [0m
+[2;36m03/18 [17:24:44][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1250[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.059185005724430084[0m, [32m'data_time'[0m: [1;36m0.00015855906531214714[0m, [32m'model_time'[0m: [1;36m2.4979031309485435[0m, [32m'learning_rate'[0m: [1;36m2.5e-06[0m, [32m'epoch'[0m: [1;36m3.03[0m[1m}[0m[1m)[0m                    ]8;id=563054;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=787352;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m03/18 [17:26:51][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1300[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.05251779779791832[0m, [32m'mse_score'[0m: [1;36m0.0033096425235271455[0m, [32m'data_time'[0m: [1;36m0.0029291450046002865[0m, [32m'model_time'[0m: [1;36m2.5194945968687534[0m, [32m'learning_rate'[0m: [1;36m2.6e-06[0m,  ]8;id=116970;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=307757;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m                 [0m         [32m'epoch'[0m: [1;36m3.16[0m[1m}[0m[1m)[0m                                                                                                                                                                                     [2m                    [0m
+[2;36m03/18 [17:28:57][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1350[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0537395179271698[0m, [32m'data_time'[0m: [1;36m0.0001407647505402565[0m, [32m'model_time'[0m: [1;36m2.505718515254557[0m, [32m'learning_rate'[0m: [1;36m2.7000000000000004e-06[0m, [32m'epoch'[0m: [1;36m3.28[0m[1m}[0m[1m)[0m         ]8;id=757168;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=918398;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m03/18 [17:31:03][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1400[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.08827394247055054[0m, [32m'mse_score'[0m: [1;36m0.0036512788385152815[0m, [32m'data_time'[0m: [1;36m0.001450386829674244[0m, [32m'model_time'[0m: [1;36m2.5289842360652983[0m, [32m'learning_rate'[0m:            ]8;id=187330;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=532342;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m                 [0m         [1;36m2.8000000000000003e-06[0m, [32m'epoch'[0m: [1;36m3.4[0m[1m}[0m[1m)[0m                                                                                                                                                              [2m                    [0m
+[2;36m03/18 [17:33:09][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1450[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.05532964691519737[0m, [32m'data_time'[0m: [1;36m0.0031520938500761986[0m, [32m'model_time'[0m: [1;36m2.5280673219822347[0m, [32m'learning_rate'[0m: [1;36m2.9e-06[0m, [32m'epoch'[0m: [1;36m3.52[0m[1m}[0m[1m)[0m                      ]8;id=312942;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=882554;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m03/18 [17:35:15][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1500[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.0667826235294342[0m, [32m'mse_score'[0m: [1;36m0.005275391414761544[0m, [32m'data_time'[0m: [1;36m0.0001404518261551857[0m, [32m'model_time'[0m: [1;36m2.524940984323621[0m, [32m'learning_rate'[0m: [1;36m3e-06[0m,       ]8;id=160263;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=392077;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
+[2;36m                 [0m         [32m'epoch'[0m: [1;36m3.64[0m[1m}[0m[1m)[0m                                                                                                                                                                                     [2m                    [0m
+[2;36m03/18 [17:37:22][0m[2;36m [0m[34mINFO    [0m | >> Step [1;36m1550[0m, Loss: [1m{[0m[32m'action_dit_loss'[0m: [1;36m0.06889034807682037[0m, [32m'data_time'[0m: [1;36m0.00013422081246972084[0m, [32m'model_time'[0m: [1;36m2.5243823751807213[0m, [32m'learning_rate'[0m: [1;36m3.1000000000000004e-06[0m, [32m'epoch'[0m: [1;36m3.76[0m[1m}[0m[1m)[0m      ]8;id=816449;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py\[2mtrain_starvla.py[0m]8;;\[2m:[0m]8;id=967242;file:///scratch/wangpc/starVLA/starVLA/training/train_starvla.py#253\[2m253[0m]8;;\
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