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vocabtrimmer/xlm-roberta-base-xnli-de
xlm-roberta-base-xnli-de 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 xlm-roberta-base on the xnli (de). Following metrics are computed on the test split of xnli(de).
Downloads · 30 days
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3% of all-time downloads
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From the Hugging Face model README
vocabtrimmer/xlm-roberta-base-xnli-deThis model is a fine-tuned version of xlm-roberta-base on the
xnli (de).
Following metrics are computed on the test split of
xnli(de).
| eval_f1_micro | eval_recall_micro | eval_precision_micro | eval_f1_macro | eval_recall_macro | eval_precision_macro | eval_accuracy | |
|---|---|---|---|---|---|---|---|
| 0 | 79.9 | 79.9 | 79.9 | 79.89 | 79.9 | 80.04 | 79.9 |
Check the result file here.