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checkpoints/finetune_lora_task33_2000step/wandb/wandb/run-20260420_021941-21nt7ukt/files/config.yaml

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+    value:
+        cli_version: 0.26.0
+        e:
+            tpdc52xmz1cbow6qpvdkyz4x0ffybqme:
+                args:
+                    - --config_yaml
+                    - ./examples/LIBERO/train_files/my_libero_finetune.yaml
+                    - --datasets.vla_data.data_mix
+                    - libero_90_task_33
+                    - --run_id
+                    - finetune_lora_task33_2000step
+                codePath: starVLA/training/train_starvla_lora.py
+                codePathLocal: starVLA/training/train_starvla_lora.py
+                cpu_count: 6
+                cpu_count_logical: 12
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "253055008768"
+                        used: "179634900992"
+                email: chihhans@usc.edu
+                executable: /usr/local/envs/starvla/bin/python3.10
+                git:
+                    commit: d3b193ca009415f02049f04d9afabc262dd11367
+                    remote: https://github.com/tliao730/starVLA_r
+                gpu: NVIDIA A100-SXM4-40GB
+                gpu_count: 1
+                gpu_nvidia:
+                    - architecture: Ampere
+                      cudaCores: 6912
+                      memoryTotal: "42949672960"
+                      name: NVIDIA A100-SXM4-40GB
+                      uuid: GPU-175053b6-8cbd-5bb9-5223-73fe596ade64
+                host: 69b054526212
+                memory:
+                    total: "89629200384"
+                os: Linux-6.6.113+-x86_64-with-glibc2.35
+                program: /content/starVLA_r/starVLA/training/train_starvla_lora.py
+                python: CPython 3.10.20
+                root: ./results/Checkpoints/finetune_lora_task33_2000step/wandb
+                startedAt: "2026-04-20T02:19:41.799008Z"
+                writerId: tpdc52xmz1cbow6qpvdkyz4x0ffybqme
+        m: []
+        python_version: 3.10.20
+        t:
+            "1":
+                - 1
+                - 11
+                - 41
+                - 49
+                - 63
+                - 71
+                - 80
+                - 83
+                - 98
+            "2":
+                - 1
+                - 11
+                - 41
+                - 49
+                - 63
+                - 71
+                - 80
+                - 83
+                - 98
+            "3":
+                - 2
+                - 13
+                - 61
+            "4": 3.10.20
+            "5": 0.26.0
+            "6": 4.57.0
+            "12": 0.26.0
+            "13": linux-x86_64

checkpoints/finetune_lora_task33_2000step/wandb/wandb/run-20260420_021941-21nt7ukt/files/output.log

@@ -0,0 +1,314 @@
+04/20 [02:19:42] INFO     | >> ***** Training          train_starvla_lora.py:573
+                          Configuration *****
+                 INFO     | >>   Total optimization    train_starvla_lora.py:574
+                          steps = 2000
+                 INFO     | >>   Per device batch size train_starvla_lora.py:577
+                          = 1
+                 INFO     | >>   Gradient accumulation train_starvla_lora.py:580
+                          steps = 1
+                 INFO     | >>   Total batch size = 1  train_starvla_lora.py:583
+ 15%|█▌        | 300/2000 [04:19<22:02,  1.29it/s, data_times=0.000, model_times=0.771]  
+Error decoding tokens: cannot reshape array of size 10 into shape (7)
+Tokens: [322, 355, 398, 398, 398, 398]
+04/20 [02:21:06] INFO     | >> Step 100, Loss:         train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          6.3414435386657715,
+                          'mse_score':
+                          0.06309912163142146,
+                          'data_time':
+                          0.001497986000686069,
+                          'model_time':
+                          0.7886603259994445,
+                          'learning_rate':
+                          9.98443507904421e-06,
+                          'epoch': 0.01})
+Error decoding tokens: cannot reshape array of size 145 into shape (7)
+Tokens: [299, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398]
+04/20 [02:22:43] INFO     | >> Step 200, Loss:         train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          4.291714191436768,
+                          'mse_score':
+                          0.0533606030337535,
+                          'data_time':
+                          0.0003024789984920062,
+                          'model_time':
+                          0.7785668769993208,
+                          'learning_rate':
+                          9.860520723645051e-06,
+                          'epoch': 0.03})
+Error decoding tokens: Decoded DCT coefficients have shape (55, 7), expected (8, 7)
+Tokens: [280, 413, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398]
+04/20 [02:24:48] INFO     | >> Step 300, Loss:         train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          3.942711353302002,
+                          'mse_score':
+                          0.061546506445589365,
+                          'data_time':
+                          0.00023414799943566322,
+                          'model_time':
+                          0.7712960219996603,
+                          'learning_rate':
+                          9.615901329562358e-06,
+                          'epoch': 0.04})
+Error decoding tokens: cannot reshape array of size 8 into shape (7)
+Tokens: [321, 398, 1589, 398, 398, 398, 398]
+04/20 [02:26:07] INFO     | >> Step 400, Loss:         train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          3.0936074256896973,
+                          'mse_score':
+                          0.03548494346925948,
+                          'data_time':
+                          0.0026263389991072472,
+                          'model_time':
+                          0.7732177260004391,
+                          'learning_rate':
+                          9.256912410610216e-06,
+                          'epoch': 0.05})
+Error decoding tokens: cannot reshape array of size 146 into shape (7)
+Tokens: [371, 376, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398, 398]
+04/20 [02:27:44] INFO     | >> Step 500, Loss:         train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          5.491021633148193,
+                          'mse_score':
+                          0.045716366400739436,
+                          'data_time':
+                          0.002449392999551492,
+                          'model_time':
+                          0.780073428999458,
+                          'learning_rate':
+                          8.792851591221287e-06,
+                          'epoch': 0.07})
+✅ Checkpoint saved at ./results/Checkpoints/finetune_lora_task33_2000step/checkpoints/steps_500
+04/20 [02:27:52] INFO     | >> 📊 Saving accessed      train_starvla_lora.py:447
+                          configuration...
+                 INFO     | >> ✅ Configuration files  train_starvla_lora.py:452
+                          saved
+Error decoding tokens: cannot reshape array of size 48 into shape (7)
+Tokens: [399, 271, 398, 271, 398, 271, 261, 1608]
+04/20 [02:29:12] INFO     | >> Step 600, Loss:         train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          3.744018793106079,
+                          'mse_score':
+                          0.03610114649957029,
+                          'data_time':
+                          0.0002679579993127845,
+                          'model_time':
+                          0.7847767839994049,
+                          'learning_rate':
+                          8.235737802857812e-06,
+                          'epoch': 0.08})
+Error decoding tokens: cannot reshape array of size 44 into shape (7)
+Tokens: [300, 391, 398, 398, 398, 398, 261, 777]
+04/20 [02:30:33] INFO     | >> Step 700, Loss:         train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          3.576340675354004,
+                          'mse_score':
+                          0.045592130357009986,
+                          'data_time':
+                          0.0002309279989276547,
+                          'model_time':
+                          0.786420974000066,
+                          'learning_rate':
+                          7.600000000000001e-06,
+                          'epoch': 0.09})
+Error decoding tokens: cannot reshape array of size 45 into shape (7)
+Tokens: [304, 378, 398, 398, 398, 398, 398, 261, 777]
+04/20 [02:31:53] INFO     | >> Step 800, Loss:         train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          3.8284409046173096,
+                          'mse_score':
+                          0.04658816358160612,
+                          'data_time':
+                          0.0027771209988713963,
+                          'model_time':
+                          0.784161296000093,
+                          'learning_rate':
+                          6.902103457804171e-06,
+                          'epoch': 0.11})
+Error decoding tokens: Decoded DCT coefficients have shape (794, 7), expected (8, 7)
+Tokens: [295, 391, 271, 398, 398, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 27
+04/20 [02:36:54] INFO     | >> Step 900, Loss:         train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          4.798415184020996,
+                          'mse_score':
+                          0.06163553095595276,
+                          'data_time':
+                          0.0016620449987385655,
+                          'model_time':
+                          0.7748594269996829,
+                          'learning_rate':
+                          6.160123330125014e-06,
+                          'epoch': 0.12})
+Error decoding tokens: cannot reshape array of size 69 into shape (7)
+Tokens: [291, 376, 289, 1589, 261, 261]
+04/20 [02:38:14] INFO     | >> Step 1000, Loss:        train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          5.180891990661621,
+                          'mse_score':
+                          0.0506694448526982,
+                          'data_time':
+                          0.0002193769996665651,
+                          'model_time':
+                          0.7863977559991326,
+                          'learning_rate':
+                          5.393276512525193e-06,
+                          'epoch': 0.13})
+✅ Checkpoint saved at ./results/Checkpoints/finetune_lora_task33_2000step/checkpoints/steps_1000
+04/20 [02:38:22] INFO     | >> 📊 Saving accessed      train_starvla_lora.py:447
+                          configuration...
+                 INFO     | >> ✅ Configuration files  train_starvla_lora.py:452
+                          saved
+Error decoding tokens: cannot reshape array of size 69 into shape (7)
+Tokens: [280, 376, 398, 314, 398, 261, 261]
+04/20 [02:39:42] INFO     | >> Step 1100, Loss:        train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          4.680295944213867,
+                          'mse_score':
+                          0.051395651938305816,
+                          'data_time':
+                          0.00047758600157976616,
+                          'model_time':
+                          0.7736046829995757,
+                          'learning_rate':
+                          4.62142393477445e-06,
+                          'epoch': 0.15})
+Error decoding tokens: cannot reshape array of size 51 into shape (7)
+Tokens: [322, 389, 292, 398, 398, 398, 261, 288]
+04/20 [02:41:02] INFO     | >> Step 1200, Loss:        train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          5.553008079528809,
+                          'mse_score':
+                          0.06791895711670555,
+                          'data_time':
+                          0.003766148000067915,
+                          'model_time':
+                          0.7747995910012833,
+                          'learning_rate':
+                          3.8645561732010276e-06,
+                          'epoch': 0.16})
+Error decoding tokens: cannot reshape array of size 72 into shape (7)
+Tokens: [399, 393, 292, 398, 398, 398, 261, 261]
+04/20 [02:42:22] INFO     | >> Step 1300, Loss:        train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          4.739770412445068,
+                          'mse_score':
+                          0.06981379904021953,
+                          'data_time':
+                          0.00023098000019672327,
+                          'model_time':
+                          0.7856439749994024,
+                          'learning_rate':
+                          3.1422757052653392e-06,
+                          'epoch': 0.17})
+Error decoding tokens: cannot reshape array of size 104 into shape (7)
+Tokens: [399, 370, 271, 398, 398, 398, 398, 261, 261, 261]
+04/20 [02:43:43] INFO     | >> Step 1400, Loss:        train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          2.794726610183716,
+                          'mse_score':
+                          0.06575916980001098,
+                          'data_time':
+                          0.0002582969991635764,
+                          'model_time':
+                          0.7934340669999074,
+                          'learning_rate':
+                          2.4732892156904526e-06,
+                          'epoch': 0.19})
+Error decoding tokens: cannot reshape array of size 48 into shape (7)
+Tokens: [283, 376, 292, 398, 271, 273, 327, 261, 777]
+04/20 [02:45:03] INFO     | >> Step 1500, Loss:        train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          4.074632167816162,
+                          'mse_score':
+                          0.06323849280864023,
+                          'data_time':
+                          0.00022749200070393272,
+                          'model_time':
+                          0.7920192839992524,
+                          'learning_rate':
+                          1.8749231031539227e-06,
+                          'epoch': 0.2})
+✅ Checkpoint saved at ./results/Checkpoints/finetune_lora_task33_2000step/checkpoints/steps_1500
+04/20 [02:45:11] INFO     | >> 📊 Saving accessed      train_starvla_lora.py:447
+                          configuration...
+                 INFO     | >> ✅ Configuration files  train_starvla_lora.py:452
+                          saved
+Error decoding tokens: cannot reshape array of size 48 into shape (7)
+Tokens: [283, 372, 292, 398, 271, 273, 273, 261, 777]
+04/20 [02:46:32] INFO     | >> Step 1600, Loss:        train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          2.591102361679077,
+                          'mse_score':
+                          0.05414211850088246,
+                          'data_time':
+                          0.003673737999633886,
+                          'model_time':
+                          0.7829280919995654,
+                          'learning_rate':
+                          1.3626747356631953e-06,
+                          'epoch': 0.21})
+Error decoding tokens: cannot reshape array of size 104 into shape (7)
+Tokens: [344, 384, 271, 1589, 398, 271, 398, 261, 261, 261]
+04/20 [02:47:53] INFO     | >> Step 1700, Loss:        train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          2.3313918113708496,
+                          'mse_score':
+                          0.07256655743996451,
+                          'data_time':
+                          0.000229772998864064,
+                          'model_time':
+                          0.7963804999999411,
+                          'learning_rate':
+                          9.498110768645929e-07,
+                          'epoch': 0.23})
+Error decoding tokens: cannot reshape array of size 55 into shape (7)
+Tokens: [339, 370, 292, 398, 398, 261, 1703]
+04/20 [02:49:14] INFO     | >> Step 1800, Loss:        train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          4.947395324707031,
+                          'mse_score':
+                          0.0852432634557665,
+                          'data_time':
+                          0.0005062399995949818,
+                          'model_time':
+                          0.8227807410003152,
+                          'learning_rate':
+                          6.470250786537016e-07,
+                          'epoch': 0.24})
+Error decoding tokens: Decoded DCT coefficients have shape (11, 7), expected (8, 7)
+Tokens: [283, 377, 271, 398, 271, 273, 273, 286, 261, 261]
+04/20 [02:50:36] INFO     | >> Step 1900, Loss:        train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          3.177694797515869,
+                          'mse_score':
+                          0.045435210453208585,
+                          'data_time':
+                          0.00027486399994813837,
+                          'model_time':
+                          0.8094384409996565,
+                          'learning_rate':
+                          4.621587393380183e-07,
+                          'epoch': 0.25})
+Error decoding tokens: cannot reshape array of size 55 into shape (7)
+Tokens: [344, 364, 292, 398, 398, 261, 1703]
+04/20 [02:51:57] INFO     | >> Step 2000, Loss:        train_starvla_lora.py:468
+                          {'action_dit_loss':
+                          4.021229267120361,
+                          'mse_score':
+                          0.06772922126819755,
+                          'data_time':
+                          0.002128973999788286,
+                          'model_time':
+                          0.8008283790004498,
+                          'learning_rate': 4e-07,
+                          'epoch': 0.27})
+✅ Checkpoint saved at ./results/Checkpoints/finetune_lora_task33_2000step/checkpoints/steps_2000
+04/20 [02:52:08] INFO     | >> 📊 Saving accessed      train_starvla_lora.py:447
+                          configuration...
+                 INFO     | >> ✅ Configuration files  train_starvla_lora.py:452
+                          saved
+04/20 [02:52:16] INFO     | >> Training complete.      train_starvla_lora.py:670
+                          Final model saved at
+                          ./results/Checkpoints/finetu
+                          ne_lora_task33_2000step/fina
+                          l_model

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