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ssanskar9/legal_ner_model
legal_ner_model is a token classification model from ssanskar9. 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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.safetensors496 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|---|
| 0.1464 | 1.0 | 1375 | 0.1224 | 0.0049 | 0.9647 | 0.9364 | 0.9204 | 0.9284 |
| 0.0969 | 2.0 | 2750 | 0.1027 | 0.0049 | 0.9723 | 0.9523 | 0.9355 | 0.9438 |
| 0.0814 | 3.0 | 4125 | 0.1039 | 0.0049 | 0.9740 | 0.9520 | 0.9430 | 0.9475 |