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ViktorDo/electra-finetuned-ner-S800
electra-finetuned-ner-S800 is a token classification model from ViktorDo. 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 google/electra-base-discriminator 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 | 55 | 0.1115 | 0.4736 | 0.5161 | 0.4940 | 0.9552 |
| No log | 2.0 | 110 | 0.0765 | 0.5789 | 0.6690 | 0.6207 | 0.9721 |
| No log | 3.0 | 165 | 0.0711 | 0.5671 | 0.7055 | 0.6288 | 0.9730 |
| No log | 4.0 | 220 | 0.0698 | 0.6266 | 0.7083 | 0.6649 | 0.9753 |
| No log | 5.0 | 275 | 0.0697 | 0.6146 | 0.7181 | 0.6624 | 0.9758 |