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README.md
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## Evaluation
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### Model Performance
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| Model | P (%) | R (%) | F1 (%) |
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| NERmemBERT-Large FT | 77.43 | 78.38 | 77.13 |
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| CamemBERT FT | 77.62 | 79.59 | 77.26 |
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| NERmemBERT-Base FT | 77.99 | 79.59 | 78.34 |
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| AdminBERT-NER
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| AdminBERT-NER 16GB | 78.79 | 82.07 | 80.11 |
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To evaluate each model, we performed five runs and averaged the results on the test set of Adminset-NER.
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## Evaluation
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Regarding the fact that at date, there was no evaluation coprus available compose of French administrative, we decide to create our own on the NER (Named Entity Recognition) task.
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### Model Performance
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| Model | P (%) | R (%) | F1 (%) |
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| NERmemBERT-Large FT | 77.43 | 78.38 | 77.13 |
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| CamemBERT FT | 77.62 | 79.59 | 77.26 |
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| NERmemBERT-Base FT | 77.99 | 79.59 | 78.34 |
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| AdminBERT-NER 4G | 78.47 | 80.35 | 79.26 |
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| AdminBERT-NER 16GB | 78.79 | 82.07 | 80.11 |
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To evaluate each model, we performed five runs and averaged the results on the test set of [Adminset-NER](https://huggingface.co/datasets/taln-ls2n/Adminset-NER).
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