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Saugatkafley/distilbert-NER
distilbert-NER is a token classification model from Saugatkafley. 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 an unknown 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 | 0.91 | 200 | 0.0681 | 0.0 | 0.0 | 0.0 | 0.9805 |
| No log | 1.82 | 400 | 0.0599 | 0.0 | 0.0 | 0.0 | 0.9827 |
| 0.1171 | 2.73 | 600 | 0.0641 | 0.0 | 0.0 | 0.0 | 0.9834 |
| 0.1171 | 3.64 | 800 | 0.0652 | 0.0 | 0.0 | 0.0 | 0.9843 |
| 0.0177 | 4.55 | 1000 | 0.0649 | 0.0 | 0.0 | 0.0 | 0.9838 |