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h3110Fr13nd/guj-eng-code-switch-xlm-roberta
guj-eng-code-switch-xlm-roberta is a token classification model from h3110Fr13nd. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2274 | 1.0 | 250 | 0.2252 | 0.8585 | 0.8030 | 0.8298 | 0.9435 |
| 0.1323 | 2.0 | 500 | 0.1693 | 0.8376 | 0.8413 | 0.8394 | 0.9524 |
| 0.1022 | 3.0 | 750 | 0.1584 | 0.8561 | 0.8582 | 0.8571 | 0.9595 |