/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.)
  return torch.from_numpy(acts).to(device), torch.from_numpy(np.ascontiguousarray(b)).to(device)
batch 0/12 r_pre=2 mean gain 0.02953 frac>0 0.615
batch 10/12 r_pre=1 mean gain 0.02505 frac>0 0.578
train {'file': 'experiments/runs/labels_mini_seed01_20261030005150/labels_train.pt', 'n_states': 1047, 'n_labels': 4188, 'mean_gain': 0.031750522553920746, 'frac_positive': 0.5690066814422607, 'frac_harm': 0.43099331855773926, 'seconds': 2.5, 'n_audit_batches': 6}
batch 0/4 r_pre=2 mean gain 0.05232 frac>0 0.560
calib {'file': 'experiments/runs/labels_mini_seed01_20261030005150/labels_calib.pt', 'n_states': 289, 'n_labels': 1156, 'mean_gain': 0.19328418374061584, 'frac_positive': 0.6349480748176575, 'frac_harm': 0.36505189538002014, 'seconds': 0.8, 'n_audit_batches': 2}
run labels_mini_seed01_20261030005150