1loaded backbone from experiments/runs/mini_backbone_seed01_20261030005114/checkpoint missing: 362readout_scale set to backbone residual rms = 0.1203/Users/simon-pierreboucher/Desktop/Recherche-UQO/ia/prisme-slm/training/train_editor.py:57: 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 2.2980 lr 1.00e-04 gn 0.09 (0s)6step 50 loss 2.0584 lr 7.37e-04 gn 0.12 (14s)7step 100 loss 1.9985 lr 1.71e-04 gn 0.21 (25s)8step 119 loss 2.2012 lr 1.00e-04 gn 0.21 (29s)9 val loss by budget: {0: 2.391, 1: 2.178, 2: 2.1457, 4: 2.0783, 8: 2.0136}10 exact match dev_iid budget 0: 0.0000 (n=32) by family {'bind': 0.0, 'arith': 0.0, 'fsm': 0.0, 'excl': 0.0, 'sched': 0.0}11 exact match dev_iid budget 2: 0.0000 (n=32) by family {'bind': 0.0, 'arith': 0.0, 'fsm': 0.0, 'excl': 0.0, 'sched': 0.0}12run mini_editor_seed01_20261030005118 done13