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h3110Fr13nd/guj-eng-code-switch-bert-multilingual
guj-eng-code-switch-bert-multilingual 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 apache-2.0.
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 bert-base-multilingual-cased 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 |
|---|---|---|---|---|---|---|---|
| 0.2148 | 1.0 | 250 | 0.2214 | 0.8414 | 0.7840 | 0.8116 | 0.9432 |
| 0.1215 | 2.0 | 500 | 0.1550 | 0.8324 | 0.8250 | 0.8287 | 0.9560 |
| 0.0873 | 3.0 | 750 | 0.1520 | 0.8581 | 0.8478 | 0.8529 | 0.9608 |