Downloads · 30 days
6
25% of all-time downloads
matthewleechen/science_MP_classifier
science_MP_classifier is a text classification model from matthewleechen. Use it when you need a label for a piece of text. It is set up for transformers.
This is a fine-tuned RoBERTa-base model trained to identify whether historical MPs in the British Parliament were empirical scientists or came from a background of empirical science.
Downloads · 30 days
6
25% of all-time downloads
All-time downloads
24
Public
Parameters
125M
499 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors499 MB · 99%
From the Hugging Face model README
This is a fine-tuned RoBERTa-base model trained to identify whether historical MPs in the British Parliament were empirical scientists or came from a background of empirical science.
The training data were drawn from Wikipedia biographies of 19th century MPs. A batch size of 128 was used, and the learning rate was 8e-5.
Test-set evals:
{'eval_loss': 0.28504136204719543,
'eval_accuracy': 0.92,
'eval_precision': 0.9198241758241759,
'eval_recall': 0.92,
'eval_f1': 0.9195138888888889,
'eval_runtime': 0.425,
'eval_samples_per_second': 235.291,
'eval_steps_per_second': 2.353,
'epoch': 8.0}