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Gladiator/bert-large-uncased_ner_conll2003
bert-large-uncased_ner_conll2003 is a token classification model from Gladiator. 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-uncased on the conll2003 dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1605 | 1.0 | 878 | 0.0533 | 0.9252 | 0.9329 | 0.9290 | 0.9864 |
| 0.032 | 2.0 | 1756 | 0.0433 | 0.9320 | 0.9475 | 0.9397 | 0.9887 |
| 0.0125 | 3.0 | 2634 | 0.0454 | 0.9424 | 0.9524 | 0.9474 | 0.9897 |
| 0.006 | 4.0 | 3512 | 0.0507 | 0.9417 | 0.9519 | 0.9468 | 0.9896 |
| 0.0036 | 5.0 | 4390 | 0.0516 | 0.9424 | 0.9530 | 0.9477 | 0.9898 |