xlm-roberta-base for token classification, specifically fine-tuned for question-answer extraction for English
This is the xlm-roberta-base, fine-tuned on manually annotated Finnish data and ChatGPT-annotated data.
Hyperparameters
batch_size = 8
epochs = 10 (trained for less)
base_LM_model = "xlm-roberta-base"
max_seq_len = 512
learning_rate = 5e-5
Performance
Accuracy = 0.88
Question F1 = 0.77
Answer F1 = 0.81
Usage
To get the best question-answer pairs use the huggingface pipeline with no aggregation strategy and do some post-processing like in this script.
Citing
Citing information coming soon!
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