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DioBot2000/Full-2epoch-BERT-base-multilingual-finetuned-CEFR_ner-60000news
Full-2epoch-BERT-base-multilingual-finetuned-CEFR_ner-60000news is a token classification model from DioBot2000. 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-base-multilingual-cased on an unknown 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 | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.1704 | 1.0 | 1563 | 0.1348 | 0.2991 | 0.5538 | 0.7961 | 0.5345 |
| 0.1196 | 2.0 | 3126 | 0.1113 | 0.3015 | 0.5856 | 0.8155 | 0.5650 |