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emmabedna/bert-base-multilingual-cased-finetuned-langtok
bert-base-multilingual-cased-finetuned-langtok is a token classification model from emmabedna. 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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.safetensors709 MB · 99%
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
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0695 | 1.0 | 1204 | 0.0462 | 0.8767 | 0.8974 | 0.8870 | 0.9872 |
| 0.0358 | 2.0 | 2408 | 0.0425 | 0.8822 | 0.9083 | 0.8950 | 0.9886 |
| 0.0178 | 3.0 | 3612 | 0.0381 | 0.9016 | 0.9159 | 0.9087 | 0.9903 |