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jhonparra18/bert-base-cased-ner_cv-med-ft
bert-base-cased-ner_cv-med-ft is a token classification model from jhonparra18. 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-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 |
|---|---|---|---|---|---|---|---|
| 1.9616 | 2.73 | 30 | 0.7717 | 0.0 | 0.0 | 0.0 | 0.8608 |
| 0.9266 | 5.45 | 60 | 0.6687 | 0.0 | 0.0 | 0.0 | 0.8608 |
| 0.8486 | 8.18 | 90 | 0.6100 | 0.2133 | 0.0488 | 0.0794 | 0.8635 |
| 0.7421 | 10.91 | 120 | 0.5922 | 0.2534 | 0.1966 | 0.2215 | 0.8542 |
| 0.6481 | 13.64 | 150 | 0.5696 | 0.2889 | 0.2378 | 0.2609 | 0.8596 |
| 0.5948 | 16.36 | 180 | 0.5798 | 0.2678 | 0.3034 | 0.2845 | 0.8472 |
| 0.5621 | 19.09 | 210 | 0.5913 | 0.2486 | 0.3293 | 0.2833 | 0.8381 |
| 0.5234 | 21.82 | 240 | 0.5816 | 0.2585 | 0.3262 | 0.2884 | 0.8404 |
| 0.5028 | 24.55 | 270 | 0.5944 | 0.2545 | 0.3476 | 0.2938 | 0.8368 |
| 0.4975 | 27.27 | 300 | 0.5923 | 0.2531 | 0.3476 | 0.2929 | 0.8368 |
| 0.4791 | 30.0 | 330 | 0.5926 | 0.2559 | 0.3460 | 0.2942 | 0.8368 |