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lakshaywadhwa1993/ner_hindi_bert
ner_hindi_bert is a token classification model from lakshaywadhwa1993. 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 the wikiann 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 | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Loc F1 | Org F1 | Per F1 |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.2993 | 3.19 | 1000 | 0.3230 | 0.8779 | 0.8786 | 0.8782 | 0.9244 | 0.8535 | 0.8270 | 0.9358 |
| 0.0641 | 6.39 | 2000 | 0.3713 | 0.8942 | 0.8972 | 0.8957 | 0.9367 | 0.8766 | 0.8489 | 0.9454 |