1loaded backbone from experiments/runs/p4_tiny_backbone_seed01_20261029232626/checkpoint missing: 352readout_scale set to backbone residual rms = 5.3103/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.)4 return torch.from_numpy(acts).to(device), torch.from_numpy(np.ascontiguousarray(b)).to(device)5step 0 loss 0.3472 lr 1.00e-05 gn 1.32 (4s)6step 50 loss 0.1013 lr 5.10e-04 gn 0.40 (41s)7 val loss by budget: {8: 0.7307}8step 100 loss 0.0165 lr 1.00e-03 gn 0.16 (90s)9step 150 loss 0.0053 lr 9.78e-04 gn 0.02 (137s)10 val loss by budget: {8: 1.1005}11step 200 loss 0.0024 lr 9.14e-04 gn 0.01 (173s)12step 250 loss 0.0010 lr 8.15e-04 gn 0.00 (206s)13 val loss by budget: {8: 1.3595}14step 300 loss 0.0008 lr 6.89e-04 gn 0.00 (254s)15step 350 loss 0.0004 lr 5.50e-04 gn 0.00 (300s)16 val loss by budget: {8: 1.4991}17step 400 loss 0.0004 lr 4.11e-04 gn 0.00 (347s)18step 450 loss 0.0004 lr 2.85e-04 gn 0.00 (391s)19 val loss by budget: {8: 1.6038}20step 500 loss 0.0006 lr 1.86e-04 gn 0.00 (437s)21step 550 loss 0.0003 lr 1.22e-04 gn 0.00 (480s)22step 599 loss 0.0003 lr 1.00e-04 gn 0.00 (517s)23 val loss by budget: {8: 1.645}24run p4_overfit64_b8_seed01_20261029235111 done25