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---
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license: afl-3.0
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---
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A MacBERTh model fine-tuned on SQuAD_v2. Hopefully, this will allow the model to perform well on QA tasks on historical texts.
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Finetune parameters:
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```
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training_args = TrainingArguments(
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output_dir="./results",
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evaluation_strategy="epoch",
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learning_rate=3e-5,
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per_device_train_batch_size=64,
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per_device_eval_batch_size=64,
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num_train_epochs=2,
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weight_decay=0.01,
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lr_scheduler_type=SchedulerType.LINEAR,
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warmup_ratio=0.2
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)
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```
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{'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} |