readme: ---
  license: afl-3.0
  ---
  A MacBERTh model fine-tuned on SQuAD_v2. Hopefully, this will allow the model to perform well on QA tasks on historical texts.
  Finetune parameters:
  
  ```
  training_args = TrainingArguments(
          output_dir="./results",
          evaluation_strategy="epoch",
          learning_rate=3e-5,
          per_device_train_batch_size=64,
          per_device_eval_batch_size=64,
          num_train_epochs=2,
          weight_decay=0.01,
          lr_scheduler_type=SchedulerType.LINEAR,
          warmup_ratio=0.2
      )
  ```
  
  Evaluation metrics on the validation set of SQuAD_v2:
  ```
  {'exact': 49.49886296639434, 'f1': 53.9199170778635, 'total': 11873, 'HasAns_exact': 60.08771929824562, 'HasAns_f1': 68.94250598270429, 'HasAns_total': 5928, 'NoAns_exact': 38.940285954583686, 'NoAns_f1': 38.940285954583686, 'NoAns_total': 5945, 'best_exact': 50.5095595047587, 'best_exact_thresh': 0.0, 'best_f1': 51.75825524534494, 'best_f1_thresh': 0.0}
  ```