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nxaliao/bert-lg-cased-ms-ner-v3-test
bert-lg-cased-ms-ner-v3-test is a token classification model from nxaliao. 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 bert-large-cased 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 |
|---|---|---|---|---|---|---|---|
| 0.1394 | 1.0 | 3615 | 0.1234 | 0.8374 | 0.8269 | 0.8321 | 0.9695 |
| 0.0736 | 2.0 | 7230 | 0.1110 | 0.8618 | 0.8742 | 0.8679 | 0.9756 |
| 0.0385 | 3.0 | 10845 | 0.1019 | 0.8844 | 0.8968 | 0.8906 | 0.9787 |
| 0.019 | 4.0 | 14460 | 0.1193 | 0.8859 | 0.9048 | 0.8953 | 0.9798 |
| 0.0094 | 5.0 | 18075 | 0.1288 | 0.8909 | 0.9094 | 0.9001 | 0.9804 |