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# camembert-base-finetuned-ner
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This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the Wikiner Dataset (enriched with new entities: date, postal adress) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0280
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- Precision: 0.9642
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- Recall: 0.9675
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- F1: 0.9658
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- Accuracy: 0.9921
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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| 0.0316 | 1.0 | 15205 | 0.0300 | 0.9555 | 0.9609 | 0.9582 | 0.9906 |
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| 0.0214 | 2.0 | 30410 | 0.0276 | 0.9624 | 0.9668 | 0.9646 | 0.9918 |
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| 0.0156 | 3.0 | 45615 | 0.0280 | 0.9642 | 0.9675 | 0.9658 | 0.9921 |
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### Framework versions
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- Transformers 4.33.0.dev0
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# camembert-base-finetuned-ner
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This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the Wikiner Dataset (enriched with new entities: date, postal adress) dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Framework versions
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- Transformers 4.33.0.dev0
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