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cp-gustavo/b3r-test
b3r-test is a token classification model from cp-gustavo. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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.safetensors431 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of dmis-lab/biobert-v1.1 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 | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 1.0701 | 1.0 | 330 | 0.5494 | 0.5424 | 0.5540 | 0.5482 |
| 0.4877 | 2.0 | 660 | 0.5052 | 0.5561 | 0.6069 | 0.5804 |
| 0.3423 | 3.0 | 990 | 0.5166 | 0.5772 | 0.6301 | 0.6025 |
| 0.2322 | 4.0 | 1320 | 0.5577 | 0.5766 | 0.6386 | 0.6060 |
| 0.1555 | 5.0 | 1650 | 0.6107 | 0.5842 | 0.6423 | 0.6118 |
| 0.1063 | 6.0 | 1980 | 0.6586 | 0.5839 | 0.6450 | 0.6129 |