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ViktorDo/electra-finetuned-ner-copious
electra-finetuned-ner-copious 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 | 63 | 0.0999 | 0.4927 | 0.4870 | 0.4898 | 0.9675 |
| No log | 2.0 | 126 | 0.0677 | 0.6728 | 0.7420 | 0.7057 | 0.9783 |
| No log | 3.0 | 189 | 0.0648 | 0.7153 | 0.7101 | 0.7127 | 0.9795 |
| No log | 4.0 | 252 | 0.0619 | 0.7299 | 0.7638 | 0.7465 | 0.9809 |
| No log | 5.0 | 315 | 0.0614 | 0.7361 | 0.7681 | 0.7518 | 0.9814 |