1step 0 loss 4.9416 lr 3.33e-06 gn 11.57 (2s)2step 100 loss 1.0250 lr 3.37e-04 gn 6.28 (30s)3step 200 loss 0.3161 lr 6.70e-04 gn 1.37 (49s)4step 300 loss 0.3000 lr 1.00e-03 gn 0.95 (68s)5step 400 loss 0.3070 lr 1.00e-03 gn 0.54 (87s)6step 500 loss 0.2640 lr 1.00e-03 gn 0.28 (106s)7step 600 loss 0.2662 lr 9.99e-04 gn 0.16 (126s)8step 700 loss 0.2637 lr 9.98e-04 gn 0.13 (145s)9step 800 loss 0.2783 lr 9.97e-04 gn 0.15 (164s)10step 900 loss 0.2698 lr 9.96e-04 gn 0.18 (184s)11/Users/simon-pierreboucher/Desktop/Recherche-UQO/ia/prisme-slm/training/train_editor.py:55: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /Users/runner/work/pytorch/pytorch/torch/csrc/utils/tensor_numpy.cpp:214.)12 return torch.from_numpy(acts).to(device), torch.from_numpy(np.ascontiguousarray(b)).to(device)13 val loss by budget: {0: 0.2595}14step 1000 loss 0.2317 lr 9.95e-04 gn 0.11 (203s)15step 1100 loss 0.2553 lr 9.93e-04 gn 0.39 (223s)16step 1200 loss 0.2368 lr 9.92e-04 gn 0.13 (243s)17step 1300 loss 0.2362 lr 9.90e-04 gn 0.11 (262s)18step 1400 loss 0.2610 lr 9.88e-04 gn 0.15 (282s)19step 1500 loss 0.2479 lr 9.85e-04 gn 0.09 (302s)20step 1600 loss 0.2702 lr 9.83e-04 gn 0.13 (321s)21step 1700 loss 0.2404 lr 9.80e-04 gn 0.12 (340s)22step 1800 loss 0.2340 lr 9.77e-04 gn 0.09 (360s)23step 1900 loss 0.2829 lr 9.74e-04 gn 0.10 (380s)24 val loss by budget: {0: 0.2533}25step 2000 loss 0.2506 lr 9.71e-04 gn 0.12 (400s)26step 2100 loss 0.2389 lr 9.67e-04 gn 0.09 (426s)27step 2200 loss 0.2490 lr 9.63e-04 gn 0.15 (455s)28