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roberta-base.xnli-en.2
vocabtrimmer/roberta-base.xnli-en.2
roberta-base.xnli-en.2 is a machine learning model from vocabtrimmer. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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).
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At a glance
- Model type
- roberta
- Access
- Public
- Created
- Oct 19, 2024
- Updated
- Oct 19, 2024
- SHA
- 4aab3463
Model card
From the Hugging Face model README
vocabtrimmer/roberta-base.xnli-en.2
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).
- Evaluation on test split
| eval_f1_micro | eval_recall_micro | eval_precision_micro | eval_f1_macro | eval_recall_macro | eval_precision_macro | eval_accuracy | |
|---|---|---|---|---|---|---|---|
| 0 | 47.6 | 47.6 | 47.6 | 41.54 | 47.6 | 54.87 | 47.6 |
- Evaluation on validation split
| eval_f1_micro | eval_recall_micro | eval_precision_micro | eval_f1_macro | eval_recall_macro | eval_precision_macro | eval_accuracy | |
|---|---|---|---|---|---|---|---|
| 0 | 47.31 | 47.31 | 47.31 | 40.69 | 47.31 | 54.25 | 47.31 |
Check the result file here.
- Type
- roberta
- Created
- Oct 19, 2024
- Updated
- Oct 19, 2024