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bozhidara-pesheva/dbbuc_20p
dbbuc_20p is a token classification model from bozhidara-pesheva. 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 distilbert/distilbert-base-uncased 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 246 | 0.1650 | 0.3197 | 0.3730 | 0.3443 | 0.9554 |
| No log | 2.0 | 492 | 0.1484 | 0.4825 | 0.4365 | 0.4583 | 0.9644 |
| 0.1887 | 3.0 | 738 | 0.1531 | 0.5187 | 0.4619 | 0.4887 | 0.9659 |
| 0.1887 | 4.0 | 984 | 0.1610 | 0.4992 | 0.5127 | 0.5059 | 0.9664 |
| 0.0502 | 5.0 | 1230 | 0.1610 | 0.5062 | 0.5190 | 0.5125 | 0.9665 |