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Yolkem/test_ner_model
test_ner_model is a token classification model from Yolkem. 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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.safetensors431 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of bert-base-cased 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 | 38 | 0.2255 | 0.3243 | 0.3698 | 0.3456 | 0.9352 |
| No log | 2.0 | 76 | 0.1885 | 0.4214 | 0.4101 | 0.4157 | 0.9444 |