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OpenExpDatasets / experiments /learnability /train_policy_only /minimo_0pt /s42 /train.log
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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_052959-70wbe9fe
[2026-06-28T05:29:55.233022] Seeded RNGs with seed=42
[2026-06-28T05:29:55.233313] Loading checkpoint from /datadrive/ayush/home/minimoX/learning/outputs/bootstrap_bs_800_para/2026-03-12_23-41-21/0.pt
[2026-06-28T05:29:58.908114] Loading examples from /datadrive/ayush/home/minimoX/learning/experiments/learnability/minimo_0pt/examples_policy_only.json
 1567 training examples loaded.
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[2026-06-28T05:29:58.910140] Starting ablation: updates_0_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_0pt/s42/2026-06-28_05-29-55/updates_0_epoch_2ep_bs64
============================================================
 Dedup: 1567 -> 1567 unique examples
 Epoch 1/2: 0%| | 0/25 [00:00<?, ?it/s]`loss_type=None` was set in the config but it is unrecognized. Using the default loss: `ForCausalLMLoss`.
 Epoch 1/2: 4%|▍ | 1/25 [00:00<00:11, 2.15it/s] Epoch 1/2: 8%|▊ | 2/25 [00:00<00:07, 3.24it/s] Epoch 1/2: 12%|█▏ | 3/25 [00:00<00:05, 3.88it/s] Epoch 1/2: 16%|█▌ | 4/25 [00:01<00:04, 4.29it/s] Epoch 1/2: 20%|██ | 5/25 [00:01<00:04, 4.55it/s] Epoch 1/2: 24%|██▍ | 6/25 [00:01<00:04, 4.71it/s] Epoch 1/2: 28%|██▊ | 7/25 [00:01<00:03, 5.00it/s] Epoch 1/2: 32%|███▏ | 8/25 [00:01<00:03, 5.01it/s] Epoch 1/2: 36%|███▌ | 9/25 [00:02<00:03, 5.03it/s] Epoch 1/2: 40%|████ | 10/25 [00:02<00:02, 5.05it/s] Epoch 1/2: 44%|████▍ | 11/25 [00:02<00:02, 5.05it/s] Epoch 1/2: 48%|████▊ | 12/25 [00:02<00:02, 5.07it/s] Epoch 1/2: 52%|█████▏ | 13/25 [00:02<00:02, 5.11it/s] Epoch 1/2: 56%|█████▌ | 14/25 [00:03<00:02, 5.09it/s] Epoch 1/2: 60%|██████ | 15/25 [00:03<00:01, 5.25it/s] Epoch 1/2: 64%|██████▍ | 16/25 [00:03<00:01, 5.35it/s] Epoch 1/2: 68%|██████▊ | 17/25 [00:03<00:01, 5.23it/s] Epoch 1/2: 72%|███████▏ | 18/25 [00:03<00:01, 5.19it/s] Epoch 1/2: 76%|███████▌ | 19/25 [00:03<00:01, 5.24it/s] Epoch 1/2: 80%|████████ | 20/25 [00:04<00:00, 5.26it/s] Epoch 1/2: 84%|████████▍ | 21/25 [00:04<00:00, 5.19it/s] Epoch 1/2: 88%|████████▊ | 22/25 [00:04<00:00, 5.23it/s] Epoch 1/2: 92%|█████████▏| 23/25 [00:04<00:00, 5.20it/s] Epoch 1/2: 96%|█████████▌| 24/25 [00:04<00:00, 5.26it/s] Epoch 1/2: 100%|██████████| 25/25 [00:04<00:00, 6.10it/s] Epoch 1/2: 100%|██████████| 25/25 [00:04<00:00, 5.00it/s]
 [2026-06-28T05:30:04.741231] Saved checkpoint at epoch 1 -> /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_0pt/s42/2026-06-28_05-29-55/updates_0_epoch_2ep_bs64/epoch_1.pt
 Epoch 2/2: 0%| | 0/25 [00:00<?, ?it/s] Epoch 2/2: 4%|▍ | 1/25 [00:00<00:04, 4.91it/s] Epoch 2/2: 8%|▊ | 2/25 [00:00<00:04, 5.00it/s] Epoch 2/2: 12%|█▏ | 3/25 [00:00<00:04, 5.01it/s] Epoch 2/2: 16%|█▌ | 4/25 [00:00<00:04, 4.99it/s] Epoch 2/2: 20%|██ | 5/25 [00:01<00:04, 4.97it/s] Epoch 2/2: 24%|██▍ | 6/25 [00:01<00:03, 5.09it/s] Epoch 2/2: 28%|██▊ | 7/25 [00:01<00:03, 5.14it/s] Epoch 2/2: 32%|███▏ | 8/25 [00:01<00:03, 5.13it/s] Epoch 2/2: 36%|███▌ | 9/25 [00:01<00:03, 5.27it/s] Epoch 2/2: 40%|████ | 10/25 [00:01<00:02, 5.26it/s] Epoch 2/2: 44%|████▍ | 11/25 [00:02<00:02, 5.29it/s] Epoch 2/2: 48%|████▊ | 12/25 [00:02<00:02, 5.23it/s] Epoch 2/2: 52%|█████▏ | 13/25 [00:02<00:02, 5.18it/s] Epoch 2/2: 56%|█████▌ | 14/25 [00:02<00:02, 5.15it/s] Epoch 2/2: 60%|██████ | 15/25 [00:02<00:01, 5.13it/s] Epoch 2/2: 64%|██████▍ | 16/25 [00:03<00:01, 5.10it/s] Epoch 2/2: 68%|██████▊ | 17/25 [00:03<00:01, 5.09it/s] Epoch 2/2: 72%|███████▏ | 18/25 [00:03<00:01, 5.23it/s] Epoch 2/2: 76%|███████▌ | 19/25 [00:03<00:01, 5.17it/s] Epoch 2/2: 80%|████████ | 20/25 [00:03<00:00, 5.36it/s] Epoch 2/2: 84%|████████▍ | 21/25 [00:04<00:00, 5.34it/s] Epoch 2/2: 88%|████████▊ | 22/25 [00:04<00:00, 5.26it/s] Epoch 2/2: 92%|█████████▏| 23/25 [00:04<00:00, 5.19it/s] Epoch 2/2: 96%|█████████▌| 24/25 [00:04<00:00, 5.16it/s] Epoch 2/2: 100%|██████████| 25/25 [00:04<00:00, 5.29it/s]
wandb:
wandb: Run history:
wandb: epoch ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁████████████████████
wandb: train_loss █▆▅▄▃▃▃▃▃▂▂▂▂▂▂▂▁▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
wandb:
wandb: Run summary:
wandb: epoch 2
wandb: train_loss 0.72926
wandb:
wandb: You can sync this run to the cloud by running:
wandb: wandb sync /datadrive/ayush/home/minimoX/learning/wandb/offline-run-20260628_052959-70wbe9fe
wandb: Find logs at: ./wandb/offline-run-20260628_052959-70wbe9fe/logs
 [2026-06-28T05:30:09.712384] Saved checkpoint at epoch 2 -> /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_0pt/s42/2026-06-28_05-29-55/updates_0_epoch_2ep_bs64/epoch_2.pt
 Done: 2 epoch(s), 50 total steps, 1567 unique examples (batch_size=64)
[2026-06-28T05:30:09.912146] Saved trained agent to /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_0pt/s42/2026-06-28_05-29-55/updates_0_epoch_2ep_bs64/1.pt
============================================================
[2026-06-28T05:30:09.922251] All ablations complete.
============================================================
Summary saved to /datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_0pt/s42/2026-06-28_05-29-55/summary.json
 updates_0_epoch_2ep_bs64: {'path': '/datadrive/ayush/home/minimoX/learning/experiments/learnability/train_policy_only/minimo_0pt/s42/2026-06-28_05-29-55/updates_0_epoch_2ep_bs64/1.pt', 'total_gradient_steps': 50}