experiments/learnability/train_policy_only/minimo_1pt/s46/train.log

wandb: WARNING Using a boolean value for 'reinit' is deprecated. Use 'return_previous' or 'finish_previous' instead.
wandb: Tracking run with wandb version 0.24.0
wandb: W&B syncing is set to `offline` in this directory. Run `wandb online` or set WANDB_MODE=online to enable cloud syncing.
wandb: Run data is saved locally in /datadrive/ayush/home/minimoX/learning/wandb/offline-run-20260628_053114-zkkv90bk
[2026-06-28T05:31:10.278149] Seeded RNGs with seed=46
[2026-06-28T05:31:10.278369] Loading checkpoint from /datadrive/ayush/home/minimoX/learning/outputs/bootstrap_bs_800_para/2026-03-12_23-41-21/1.pt
[2026-06-28T05:31:13.853456] Loading examples from /datadrive/ayush/home/minimoX/learning/experiments/learnability/minimo_1pt/examples_policy_only.json
  1880 training examples loaded.

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[2026-06-28T05:31:13.855975] Starting ablation: updates_1_epoch_2ep_bs64  (mode=epoch)
  n_steps=8000, batch_size=64, lr=None
  output -> /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_1pt/s46/2026-06-28_05-31-10/updates_1_epoch_2ep_bs64
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  Dedup: 1880 -> 1880 unique examples

Epoch 1/2:   0%|          | 0/30 [00:00<?, ?it/s]`loss_type=None` was set in the config but it is unrecognized. Using the default loss: `ForCausalLMLoss`.

Epoch 1/2:   3%|▎         | 1/30 [00:00<00:11,  2.57it/s]
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Epoch 1/2:  20%|██        | 6/30 [00:01<00:04,  4.99it/s]
Epoch 1/2:  23%|██▎       | 7/30 [00:01<00:04,  5.01it/s]
Epoch 1/2:  27%|██▋       | 8/30 [00:01<00:04,  5.03it/s]
Epoch 1/2:  30%|███       | 9/30 [00:01<00:04,  5.04it/s]
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Epoch 1/2:  43%|████▎     | 13/30 [00:02<00:03,  5.28it/s]
Epoch 1/2:  47%|████▋     | 14/30 [00:02<00:03,  5.23it/s]
Epoch 1/2:  50%|█████     | 15/30 [00:03<00:02,  5.22it/s]
Epoch 1/2:  53%|█████▎    | 16/30 [00:03<00:02,  5.37it/s]
Epoch 1/2:  57%|█████▋    | 17/30 [00:03<00:02,  5.25it/s]
Epoch 1/2:  60%|██████    | 18/30 [00:03<00:02,  5.22it/s]
Epoch 1/2:  63%|██████▎   | 19/30 [00:03<00:02,  5.06it/s]
Epoch 1/2:  67%|██████▋   | 20/30 [00:04<00:01,  5.19it/s]
Epoch 1/2:  70%|███████   | 21/30 [00:04<00:01,  5.53it/s]
Epoch 1/2:  73%|███████▎  | 22/30 [00:04<00:01,  5.40it/s]
Epoch 1/2:  77%|███████▋  | 23/30 [00:04<00:01,  5.23it/s]
Epoch 1/2:  80%|████████  | 24/30 [00:04<00:01,  5.25it/s]
Epoch 1/2:  83%|████████▎ | 25/30 [00:04<00:00,  5.15it/s]
Epoch 1/2:  87%|████████▋ | 26/30 [00:05<00:00,  5.30it/s]
Epoch 1/2:  90%|█████████ | 27/30 [00:05<00:00,  5.20it/s]
Epoch 1/2:  93%|█████████▎| 28/30 [00:05<00:00,  5.12it/s]
Epoch 1/2:  97%|█████████▋| 29/30 [00:05<00:00,  4.75it/s]
Epoch 1/2: 100%|██████████| 30/30 [00:05<00:00,  5.09it/s]
  [2026-06-28T05:31:20.880887] Saved checkpoint at epoch 1 -> /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_1pt/s46/2026-06-28_05-31-10/updates_1_epoch_2ep_bs64/epoch_1.pt

Epoch 2/2:   0%|          | 0/30 [00:00<?, ?it/s]
Epoch 2/2:   3%|▎         | 1/30 [00:00<00:05,  4.88it/s]
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Epoch 2/2:  10%|█         | 3/30 [00:00<00:05,  4.99it/s]
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Epoch 2/2:  37%|███▋      | 11/30 [00:02<00:03,  5.20it/s]
Epoch 2/2:  40%|████      | 12/30 [00:02<00:03,  5.20it/s]
Epoch 2/2:  43%|████▎     | 13/30 [00:02<00:03,  5.14it/s]
Epoch 2/2:  47%|████▋     | 14/30 [00:02<00:03,  5.33it/s]
Epoch 2/2:  50%|█████     | 15/30 [00:02<00:02,  5.43it/s]
Epoch 2/2:  53%|█████▎    | 16/30 [00:03<00:02,  5.32it/s]
Epoch 2/2:  57%|█████▋    | 17/30 [00:03<00:02,  5.23it/s]
Epoch 2/2:  60%|██████    | 18/30 [00:03<00:02,  5.25it/s]
Epoch 2/2:  63%|██████▎   | 19/30 [00:03<00:02,  5.19it/s]
Epoch 2/2:  67%|██████▋   | 20/30 [00:03<00:01,  5.23it/s]
Epoch 2/2:  70%|███████   | 21/30 [00:04<00:01,  4.85it/s]
Epoch 2/2:  73%|███████▎  | 22/30 [00:04<00:01,  4.90it/s]
Epoch 2/2:  77%|███████▋  | 23/30 [00:04<00:01,  5.01it/s]
Epoch 2/2:  80%|████████  | 24/30 [00:04<00:01,  5.22it/s]
Epoch 2/2:  83%|████████▎ | 25/30 [00:04<00:00,  5.16it/s]
Epoch 2/2:  87%|████████▋ | 26/30 [00:05<00:00,  5.14it/s]
Epoch 2/2:  90%|█████████ | 27/30 [00:05<00:00,  5.34it/s]
Epoch 2/2:  93%|█████████▎| 28/30 [00:05<00:00,  5.24it/s]
Epoch 2/2:  97%|█████████▋| 29/30 [00:05<00:00,  5.18it/s]
Epoch 2/2: 100%|██████████| 30/30 [00:05<00:00,  5.32it/s]
wandb: 
wandb: Run history:
wandb:      epoch ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁██████████████████████
wandb: train_loss █▇▅▆▅▆▄▃▄▄▄▄▄▄▃▃▃▃▃▂▂▂▃▂▂▂▂▂▁▂▂▂▂▁▂▁▁▂▁▁
wandb: 
wandb: Run summary:
wandb:      epoch 2
wandb: train_loss 0.10741
wandb: 
wandb: You can sync this run to the cloud by running:
wandb: wandb sync /datadrive/ayush/home/minimoX/learning/wandb/offline-run-20260628_053114-zkkv90bk
wandb: Find logs at: ./wandb/offline-run-20260628_053114-zkkv90bk/logs
  [2026-06-28T05:31:26.716960] Saved checkpoint at epoch 2 -> /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_1pt/s46/2026-06-28_05-31-10/updates_1_epoch_2ep_bs64/epoch_2.pt
  Done: 2 epoch(s), 60 total steps, 1880 unique examples (batch_size=64)
[2026-06-28T05:31:26.913533] Saved trained agent to /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_1pt/s46/2026-06-28_05-31-10/updates_1_epoch_2ep_bs64/1.pt

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[2026-06-28T05:31:26.922572] All ablations complete.
============================================================
Summary saved to /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_1pt/s46/2026-06-28_05-31-10/summary.json
  updates_1_epoch_2ep_bs64: {'path': '/datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_1pt/s46/2026-06-28_05-31-10/updates_1_epoch_2ep_bs64/1.pt', 'total_gradient_steps': 60}