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danieladeeko/finetuned_distilbert_model
finetuned_distilbert_model is a token classification model from danieladeeko. 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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.safetensors265 MB · 100%
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 |
|---|---|---|---|---|---|---|---|
| 0.0818 | 1.0 | 2185 | 0.0766 | 0.6435 | 0.5998 | 0.6209 | 0.9692 |
| 0.0709 | 2.0 | 4370 | 0.0739 | 0.6532 | 0.6241 | 0.6383 | 0.9700 |
| 0.0638 | 3.0 | 6555 | 0.0728 | 0.6674 | 0.6483 | 0.6577 | 0.9705 |
| 0.0579 | 4.0 | 8740 | 0.0753 | 0.6592 | 0.6813 | 0.6701 | 0.9698 |