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kazars24/rubert-tiny2-ner-drugname
rubert-tiny2-ner-drugname is a token classification model from kazars24. 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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From the Hugging Face model README
This model is a fine-tuned version of cointegrated/rubert-tiny2 on an unknown dataset. It achieves the following results on the evaluation set:
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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 | 61 | 0.0493 | 0.6413 | 0.7468 | 0.6901 | 0.9833 |
| No log | 2.0 | 122 | 0.0417 | 0.6406 | 0.8291 | 0.7228 | 0.9855 |
| No log | 3.0 | 183 | 0.0387 | 0.7588 | 0.7468 | 0.7528 | 0.9879 |
| No log | 4.0 | 244 | 0.0396 | 0.7385 | 0.7595 | 0.7488 | 0.9883 |
| No log | 5.0 | 305 | 0.0425 | 0.6897 | 0.7595 | 0.7229 | 0.9874 |
| No log | 6.0 | 366 | 0.0465 | 0.6991 | 0.7722 | 0.7338 | 0.9876 |
| No log | 7.0 | 427 | 0.0487 | 0.7062 | 0.7911 | 0.7463 | 0.9877 |
| No log | 8.0 | 488 | 0.0521 | 0.7076 | 0.7658 | 0.7356 | 0.9882 |
| 0.0306 | 9.0 | 549 | 0.0540 | 0.7262 | 0.7722 | 0.7485 | 0.9883 |
| 0.0306 | 10.0 | 610 | 0.0549 | 0.7232 | 0.7690 | 0.7454 | 0.9883 |