metadata
license: cc-by-nc-sa-4.0
library_name: transformers
pipeline_tag: token-classification
widget:
- text: 'Kysymys: Onko tuo kissa? Vastaus: En osaa sanoa.'
xlm-roberta-base for token classification, specifically fine-tuned for question-answer extraction for Finnish
This is the xlm-roberta-base, fine-tuned on manually annotated Finnish data, ChatGPT-annotated data and a semi-synthetic dataset based on the LFQA dataset.
Hyperparameters
batch_size = 8
epochs = 10 (trained for less)
base_LM_model = "xlm-roberta-base"
max_seq_len = 512
learning_rate = 1e-5
Performance
Accuracy = 0.85
Question F1 = 0.82
Answer F1 = 0.75
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!