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Rodrigo1771/BioLinkBERT-base-drugtemist-en-ner
BioLinkBERT-base-drugtemist-en-ner is a token classification model from Rodrigo1771. Use it when you need labels on individual words, such as names. 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 michiyasunaga/BioLinkBERT-base on the Rodrigo1771/drugtemist-en-ner dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 434 | 0.0057 | 0.8938 | 0.8938 | 0.8938 | 0.9981 |
| 0.0182 | 2.0 | 868 | 0.0044 | 0.9024 | 0.9301 | 0.9160 | 0.9985 |
| 0.0039 | 3.0 | 1302 | 0.0045 | 0.9129 | 0.9282 | 0.9205 | 0.9987 |
| 0.0024 | 4.0 | 1736 | 0.0051 | 0.8821 | 0.9348 | 0.9077 | 0.9983 |
| 0.0017 | 5.0 | 2170 | 0.0057 | 0.9251 | 0.9320 | 0.9285 | 0.9986 |
| 0.0012 | 6.0 | 2604 | 0.0061 | 0.9001 | 0.9236 | 0.9117 | 0.9984 |
| 0.0009 | 7.0 | 3038 | 0.0056 | 0.9327 | 0.9301 | 0.9314 | 0.9987 |
| 0.0009 | 8.0 | 3472 | 0.0068 | 0.9118 | 0.9348 | 0.9231 | 0.9986 |
| 0.0006 | 9.0 | 3906 | 0.0072 | 0.9267 | 0.9310 | 0.9289 | 0.9987 |
| 0.0004 | 10.0 | 4340 | 0.0073 | 0.9192 | 0.9329 | 0.9260 | 0.9986 |