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emmabedna/bert-base-multilingual-cased-finetuned-langtok_bt
bert-base-multilingual-cased-finetuned-langtok_bt 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 |
|---|---|---|---|---|---|---|---|
| 0.0707 | 1.0 | 1137 | 0.0495 | 0.8330 | 0.8554 | 0.8441 | 0.9868 |
| 0.0375 | 2.0 | 2274 | 0.0417 | 0.8693 | 0.8861 | 0.8776 | 0.9894 |
| 0.0216 | 3.0 | 3411 | 0.0387 | 0.8766 | 0.8909 | 0.8837 | 0.9905 |