bourdoiscatie
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README.md
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<td rowspan="1"><br><a href="https://hf/CATIE-AQ/NERmembert-base-3entities">NERmembert-base-3entities</a></td>
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<td><br>0</td>
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<td rowspan="1"><br>NERmembert-base-4entities (this model)</td>
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<td rowspan="1"><br><a href="https://hf/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities</a></td>
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<td>F1</td>
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<td><br>0</td>
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<td><br>X</td>
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<td><br>X</td>
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<td rowspan="3"><br><a href="https://hf/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities</a></td>
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<td><br>Precision</td>
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<td><br>Recall</td>
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<td>F1</td>
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print(result)
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```python
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[{'entity_group': 'MISC',
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'score': 0.9404951632022858,
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<td rowspan="1"><br><a href="https://hf/CATIE-AQ/NERmembert-base-3entities">NERmembert-base-3entities</a></td>
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<td><br>0.978</td>
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<td><br>0.957</td>
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<td><br>0.904</td>
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<td><br>0</td>
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<td rowspan="1"><br>NERmembert-base-4entities (this model)</td>
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<td><br>0.978</td>
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<td><br>0.958</td>
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<td><br>0.903</td>
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<td><br>0.814</td>
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<td rowspan="1"><br><a href="https://hf/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities</a></td>
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<td><br>0.982</td>
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<td><br>0.964</td>
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<td><br>0.919</td>
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<td><br>0.834</td>
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<td>F1</td>
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<td><br>0.978</td>
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<td><br>0.957</td>
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<td><br>0.904</td>
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<td><br>0</td>
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<td><br>X</td>
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<td><br>X</td>
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<td rowspan="3"><br><a href="https://hf/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities</a></td>
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<td><br>Precision</td>
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<td><br>0.977</td>
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<td><br>0.961</td>
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<td><br>0.896</td>
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<td><br>0.872</td>
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<td><br>0.993</td>
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<td><br>0.986</td>
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<td><br>Recall</td>
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<td><br>0.987</td>
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<td><br>0.966</td>
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<td><br>0.943</td>
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<td><br>0.798</td>
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<td><br>0.995</td>
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<td><br>0.986</td>
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<td>F1</td>
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<td><br>0.982</td>
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<td><br>0.964</td>
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<td><br>0.919</td>
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<td><br>0.834</td>
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<td><br>0.994</td>
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<td><br>0.986</td>
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</table>
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)
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print(result)
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```
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```python
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[{'entity_group': 'MISC',
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'score': 0.9404951632022858,
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