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vocabtrimmer/roberta-base-xnli-en
roberta-base-xnli-en is a text classification model from vocabtrimmer. Use it when you need a label for a piece of text. It is set up for transformers.
This model is a fine-tuned version of roberta-base on the xnli (en). Following metrics are computed on the test split of xnli(en).
Downloads · 30 days
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13% of all-time downloads
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From the Hugging Face model README
vocabtrimmer/roberta-base-xnli-enThis model is a fine-tuned version of roberta-base on the
xnli (en).
Following metrics are computed on the test split of
xnli(en).
| eval_f1_micro | eval_recall_micro | eval_precision_micro | eval_f1_macro | eval_recall_macro | eval_precision_macro | eval_accuracy | |
|---|---|---|---|---|---|---|---|
| 0 | 87.54 | 87.54 | 87.54 | 87.6 | 87.54 | 87.86 | 87.54 |
Check the result file here.