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Learner-sai/muril-ner-multilingual-v2
muril-ner-multilingual-v2 is a token classification model from Learner-sai. 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 google/muril-base-cased on the None 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 |
|---|---|---|---|---|---|---|---|
| 0.2128 | 1.0 | 6250 | 0.2208 | 0.7484 | 0.7707 | 0.7594 | 0.9361 |
| 0.1840 | 2.0 | 12500 | 0.2173 | 0.7375 | 0.7950 | 0.7652 | 0.9366 |
| 0.1435 | 3.0 | 18750 | 0.2213 | 0.7501 | 0.7872 | 0.7682 | 0.9383 |