File size: 7,478 Bytes
0a351ee | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | 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_053035-joytn3an
[2026-06-28T05:30:31.359077] Seeded RNGs with seed=42
[2026-06-28T05:30:31.359300] Loading checkpoint from /datadrive/ayush/home/minimoX/learning/outputs/bootstrap_bs_800_para/2026-03-12_23-41-21/1.pt
[2026-06-28T05:30:34.913424] Loading examples from /datadrive/ayush/home/minimoX/learning/experiments/learnability/minimo_1pt/examples_policy_only.json
1880 training examples loaded.
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[2026-06-28T05:30:34.915802] 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/s42/2026-06-28_05-30-31/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, 2.55it/s]
Epoch 1/2: 7%|▋ | 2/30 [00:00<00:07, 3.61it/s]
Epoch 1/2: 10%|█ | 3/30 [00:00<00:06, 4.13it/s]
Epoch 1/2: 13%|█▎ | 4/30 [00:00<00:05, 4.47it/s]
Epoch 1/2: 17%|█▋ | 5/30 [00:01<00:05, 4.92it/s]
Epoch 1/2: 20%|██ | 6/30 [00:01<00:04, 5.01it/s]
Epoch 1/2: 23%|██▎ | 7/30 [00:01<00:04, 5.05it/s]
Epoch 1/2: 27%|██▋ | 8/30 [00:01<00:04, 5.17it/s]
Epoch 1/2: 30%|███ | 9/30 [00:01<00:04, 5.17it/s]
Epoch 1/2: 33%|███▎ | 10/30 [00:02<00:03, 5.24it/s]
Epoch 1/2: 37%|███▋ | 11/30 [00:02<00:03, 5.20it/s]
Epoch 1/2: 40%|████ | 12/30 [00:02<00:03, 5.18it/s]
Epoch 1/2: 43%|████▎ | 13/30 [00:02<00:03, 5.17it/s]
Epoch 1/2: 47%|████▋ | 14/30 [00:02<00:03, 5.18it/s]
Epoch 1/2: 50%|█████ | 15/30 [00:03<00:02, 5.34it/s]
Epoch 1/2: 53%|█████▎ | 16/30 [00:03<00:02, 5.25it/s]
Epoch 1/2: 57%|█████▋ | 17/30 [00:03<00:02, 5.27it/s]
Epoch 1/2: 60%|██████ | 18/30 [00:03<00:02, 5.31it/s]
Epoch 1/2: 63%|██████▎ | 19/30 [00:03<00:02, 5.24it/s]
Epoch 1/2: 67%|██████▋ | 20/30 [00:04<00:01, 5.22it/s]
Epoch 1/2: 70%|███████ | 21/30 [00:04<00:01, 5.59it/s]
Epoch 1/2: 73%|███████▎ | 22/30 [00:04<00:01, 5.44it/s]
Epoch 1/2: 77%|███████▋ | 23/30 [00:04<00:01, 5.41it/s]
Epoch 1/2: 80%|████████ | 24/30 [00:04<00:01, 5.31it/s]
Epoch 1/2: 83%|████████▎ | 25/30 [00:04<00:00, 5.47it/s]
Epoch 1/2: 87%|████████▋ | 26/30 [00:05<00:00, 5.41it/s]
Epoch 1/2: 90%|█████████ | 27/30 [00:05<00:00, 5.41it/s]
Epoch 1/2: 93%|█████████▎| 28/30 [00:05<00:00, 5.31it/s]
Epoch 1/2: 97%|█████████▋| 29/30 [00:05<00:00, 4.91it/s]
Epoch 1/2: 100%|██████████| 30/30 [00:05<00:00, 5.18it/s]
[2026-06-28T05:30:41.806537] Saved checkpoint at epoch 1 -> /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_1pt/s42/2026-06-28_05-30-31/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, 5.09it/s]
Epoch 2/2: 7%|▋ | 2/30 [00:00<00:05, 5.11it/s]
Epoch 2/2: 10%|█ | 3/30 [00:00<00:05, 5.20it/s]
Epoch 2/2: 13%|█▎ | 4/30 [00:00<00:05, 5.11it/s]
Epoch 2/2: 17%|█▋ | 5/30 [00:00<00:04, 5.11it/s]
Epoch 2/2: 20%|██ | 6/30 [00:01<00:04, 5.29it/s]
Epoch 2/2: 23%|██▎ | 7/30 [00:01<00:04, 5.26it/s]
Epoch 2/2: 27%|██▋ | 8/30 [00:01<00:04, 5.20it/s]
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Epoch 2/2: 37%|███▋ | 11/30 [00:02<00:03, 4.92it/s]
Epoch 2/2: 40%|████ | 12/30 [00:02<00:03, 5.05it/s]
Epoch 2/2: 43%|████▎ | 13/30 [00:02<00:03, 5.07it/s]
Epoch 2/2: 47%|████▋ | 14/30 [00:02<00:03, 5.24it/s]
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Epoch 2/2: 53%|█████▎ | 16/30 [00:03<00:02, 5.15it/s]
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Epoch 2/2: 63%|██████▎ | 19/30 [00:03<00:02, 5.12it/s]
Epoch 2/2: 67%|██████▋ | 20/30 [00:03<00:01, 5.34it/s]
Epoch 2/2: 70%|███████ | 21/30 [00:04<00:01, 5.27it/s]
Epoch 2/2: 73%|███████▎ | 22/30 [00:04<00:01, 5.21it/s]
Epoch 2/2: 77%|███████▋ | 23/30 [00:04<00:01, 5.18it/s]
Epoch 2/2: 80%|████████ | 24/30 [00:04<00:01, 5.20it/s]
Epoch 2/2: 83%|████████▎ | 25/30 [00:04<00:00, 5.26it/s]
Epoch 2/2: 87%|████████▋ | 26/30 [00:04<00:00, 5.40it/s]
Epoch 2/2: 90%|█████████ | 27/30 [00:05<00:00, 5.30it/s]
Epoch 2/2: 93%|█████████▎| 28/30 [00:05<00:00, 5.48it/s]
Epoch 2/2: 97%|█████████▋| 29/30 [00:05<00:00, 5.69it/s]
Epoch 2/2: 100%|██████████| 30/30 [00:05<00:00, 5.36it/s]
wandb:
wandb: Run history:
wandb: epoch ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁████████████████████
wandb: train_loss █▇▇▅▆▅▄▅▄▅▃▄▃▃▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▁▁▂▂▂
wandb:
wandb: Run summary:
wandb: epoch 2
wandb: train_loss 0.12745
wandb:
wandb: You can sync this run to the cloud by running:
wandb: wandb sync /datadrive/ayush/home/minimoX/learning/wandb/offline-run-20260628_053035-joytn3an
wandb: Find logs at: ./wandb/offline-run-20260628_053035-joytn3an/logs
[2026-06-28T05:30:47.605181] Saved checkpoint at epoch 2 -> /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_1pt/s42/2026-06-28_05-30-31/updates_1_epoch_2ep_bs64/epoch_2.pt
Done: 2 epoch(s), 60 total steps, 1880 unique examples (batch_size=64)
[2026-06-28T05:30:47.832009] Saved trained agent to /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_1pt/s42/2026-06-28_05-30-31/updates_1_epoch_2ep_bs64/1.pt
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[2026-06-28T05:30:47.839337] All ablations complete.
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Summary saved to /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_1pt/s42/2026-06-28_05-30-31/summary.json
updates_1_epoch_2ep_bs64: {'path': '/datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_1pt/s42/2026-06-28_05-30-31/updates_1_epoch_2ep_bs64/1.pt', 'total_gradient_steps': 60}
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