Madjakul/deep-stylometry-modernbert-layerwise

1# test_layerwise.yml — Evaluation with layerwise pooling checkpoint2 3project_name: "deep-stylometry"4 5model:6  pooling_method: "layerwise"7  skip_list: false8  mean_center: false9 10data:11  ds_name: "halvest"12  batch_size: 6413  tokenizer_name: "answerdotai/ModernBERT-base"14  max_length: 51215  padding: "do_not_pad"16  truncation: "longest_first"17  add_special_tokens: true18  map_batch_size: 100019  load_from_cache_file: true20  subsets: ["base-2", "base-4", "base-6", "base-8", "base-10"]21  shuffle: true22  test_subset: "base-2"23 24test:25  device: "gpu"26  num_devices: 127  log_every_n_steps: 128  precision: "16-mixed"29  use_wandb: true30