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README.md
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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert2-4entities">NERmembert2-4entities (this model) (111M)</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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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</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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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
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<td rowspan="1"><br>NERmembert2-4entities (this model) (111M)</td>
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<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
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<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
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<tr>
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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert2-4entities">NERmembert2-4entities (this model) (111M)</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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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</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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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
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</tr>
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<tr>
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<td rowspan="1"><br>NERmembert2-4entities (this model) (111M)</td>
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<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
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<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
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<tr>
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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert2-4entities">NERmembert2-4entities (this model) (111M)</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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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
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<td><br>Precision</td>
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<td>F1</td>
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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
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</tr>
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<td rowspan="1"><br>NERmembert2-4entities (this model) (111M)</td>
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<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
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<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
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<tr>
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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert2-4entities">NERmembert2-4entities (this model) (111M)</a></td>
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<td><br>Precision</td>
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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
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| 978 |
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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
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<tr>
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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert2-4entities">NERmembert2-4entities (this model) (111M)</a></td>
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<td><br>Precision</td>
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+
<td><br>0.973</td>
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<td><br>0.951</td>
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<td><br>0.882</td>
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<td><br>0.860</td>
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<td><br>0.991</td>
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</tr>
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<td><br>Recall</td>
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<td><br>0.982</td>
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<td><br>0.965</td>
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<td><br>0.921</td>
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<td><br>0.759</td>
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<td><br>0.994</td>
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<td><br>0.982</td>
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</tr>
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<tr>
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<td>F1</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>0.901</td>
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<td><br>0.806</td>
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<td><br>0.992</td>
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<td><br>0.982</td>
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</tr>
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<tr>
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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
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<td><br>Precision</td>
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| 230 |
+
<td><br>0.976</td>
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<td><br>0.955</td>
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<td><br>0.894</td>
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<td><br>0.856</td>
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<td><br>0.991</td>
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</tr>
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<tr>
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<td><br>Recall</td>
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+
<td><br>0.983</td>
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<td><br>0.968</td>
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<td><br>0.936</td>
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<td><br>0.772</td>
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<td><br>0.994</td>
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<td><br>0.983</td>
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<td>F1</td>
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<td><br>0.979</td>
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<td><br>0.961</td>
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<td><br>0.915</td>
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<td><br>0.812</td>
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<td><br>0.992</td>
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<td><br>0.983</td>
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</tr>
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<tr>
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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
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</tr>
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<tr>
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<td rowspan="1"><br>NERmembert2-4entities (this model) (111M)</td>
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<td><br>0.964</td>
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+
<td><br>0.888</td>
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<td><br>0.864</td>
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<td><br>0.850</td>
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</tr>
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<tr>
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<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
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+
<td><br>0.966</td>
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<td><br>0.891</td>
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| 336 |
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<td><br>0.867</td>
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<td><br>0.862</td>
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</tr>
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<tr>
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<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
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<tr>
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<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert2-4entities">NERmembert2-4entities (this model) (111M)</a></td>
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| 451 |
<td><br>Precision</td>
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| 452 |
+
<td><br>0.953</td>
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| 453 |
+
<td><br>0.890</td>
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<td><br>0.870</td>
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| 455 |
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<td><br>0.842</td>
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<td><br>0.976</td>
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<td><br>0.952</td>
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</tr>
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<tr>
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<td><br>Recall</td>
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| 461 |
+
<td><br>0.975</td>
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+
<td><br>0.887</td>
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+
<td><br>0.857</td>
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| 464 |
+
<td><br>0.858</td>
|
| 465 |
+
<td><br>0.970</td>
|
| 466 |
+
<td><br>0.952</td>
|
| 467 |
</tr>
|
| 468 |
<tr>
|
| 469 |
<td>F1</td>
|
| 470 |
+
<td><br>0.964</td>
|
| 471 |
+
<td><br>0.888</td>
|
| 472 |
+
<td><br>0.864</td>
|
| 473 |
+
<td><br>0.850</td>
|
| 474 |
+
<td><br>0.973</td>
|
| 475 |
+
<td><br>0.952</td>
|
| 476 |
</tr>
|
| 477 |
<tr>
|
| 478 |
<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
|
| 479 |
<td><br>Precision</td>
|
| 480 |
+
<td><br>0.961</td>
|
| 481 |
+
<td><br>0.895</td>
|
| 482 |
+
<td><br>0.859</td>
|
| 483 |
+
<td><br>0.845</td>
|
| 484 |
+
<td><br>0.978</td>
|
| 485 |
+
<td><br>0.953</td>
|
| 486 |
</tr>
|
| 487 |
<tr>
|
| 488 |
<td><br>Recall</td>
|
| 489 |
+
<td><br>0.972</td>
|
| 490 |
+
<td><br>0.886</td>
|
| 491 |
+
<td><br>0.876</td>
|
| 492 |
+
<td><br>0.879</td>
|
| 493 |
+
<td><br>0.970</td>
|
| 494 |
+
<td><br>0.953</td>
|
| 495 |
</tr>
|
| 496 |
<tr>
|
| 497 |
<td>F1</td>
|
| 498 |
+
<td><br>0.966</td>
|
| 499 |
+
<td><br>0.891</td>
|
| 500 |
+
<td><br>0.867</td>
|
| 501 |
+
<td><br>0.862</td>
|
| 502 |
+
<td><br>0.974</td>
|
| 503 |
+
<td><br>0.953</td>
|
| 504 |
</tr>
|
| 505 |
<tr>
|
| 506 |
<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
|
|
|
|
| 573 |
</tr>
|
| 574 |
<tr>
|
| 575 |
<td rowspan="1"><br>NERmembert2-4entities (this model) (111M)</td>
|
| 576 |
+
<td><br>0.986</td>
|
| 577 |
+
<td><br>0.974</td>
|
| 578 |
+
<td><br>0.937</td>
|
| 579 |
+
<td><br>0.761</td>
|
| 580 |
</tr>
|
| 581 |
<tr>
|
| 582 |
<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
|
| 583 |
+
<td><br>0.987</td>
|
| 584 |
+
<td><br>0.976</td>
|
| 585 |
+
<td><br>0.942</td>
|
| 586 |
+
<td><br>0.770</td>
|
| 587 |
</tr>
|
| 588 |
<tr>
|
| 589 |
<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
|
|
|
|
| 698 |
<tr>
|
| 699 |
<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert2-4entities">NERmembert2-4entities (this model) (111M)</a></td>
|
| 700 |
<td><br>Precision</td>
|
| 701 |
+
<td><br>0.976</td>
|
| 702 |
+
<td><br>0.962</td>
|
| 703 |
+
<td><br>0.903</td>
|
| 704 |
+
<td><br>0.846</td>
|
| 705 |
+
<td><br>0.988</td>
|
| 706 |
+
<td><br>0.980</td>
|
| 707 |
</tr>
|
| 708 |
<tr>
|
| 709 |
<td><br>Recall</td>
|
| 710 |
+
<td><br>0.995</td>
|
| 711 |
+
<td><br>0.986</td>
|
| 712 |
+
<td><br>0.974</td>
|
| 713 |
+
<td><br>0.692</td>
|
| 714 |
+
<td><br>0.992</td>
|
| 715 |
+
<td><br>0.980</td>
|
| 716 |
</tr>
|
| 717 |
<tr>
|
| 718 |
<td>F1</td>
|
| 719 |
+
<td><br>0.986</td>
|
| 720 |
+
<td><br>0.974</td>
|
| 721 |
+
<td><br>0.937</td>
|
| 722 |
+
<td><br>0.761</td>
|
| 723 |
+
<td><br>0.990</td>
|
| 724 |
+
<td><br>0.980</td>
|
| 725 |
</tr>
|
| 726 |
<tr>
|
| 727 |
<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
|
| 728 |
<td><br>Precision</td>
|
| 729 |
+
<td><br>0.979</td>
|
| 730 |
+
<td><br>0.963</td>
|
| 731 |
+
<td><br>0.912</td>
|
| 732 |
+
<td><br>0.848</td>
|
| 733 |
+
<td><br>0.988</td>
|
| 734 |
+
<td><br>0.981</td>
|
| 735 |
</tr>
|
| 736 |
<tr>
|
| 737 |
<td><br>Recall</td>
|
| 738 |
+
<td><br>0.996</td>
|
| 739 |
+
<td><br>0.989</td>
|
| 740 |
+
<td><br>0.975</td>
|
| 741 |
+
<td><br>0.705</td>
|
| 742 |
+
<td><br>0.992</td>
|
| 743 |
+
<td><br>0.981</td>
|
| 744 |
</tr>
|
| 745 |
<tr>
|
| 746 |
<td>F1</td>
|
| 747 |
+
<td><br>0.987</td>
|
| 748 |
+
<td><br>0.976</td>
|
| 749 |
+
<td><br>0.942</td>
|
| 750 |
+
<td><br>0.770</td>
|
| 751 |
+
<td><br>0.990</td>
|
| 752 |
+
<td><br>0.981</td>
|
| 753 |
</tr>
|
| 754 |
<tr>
|
| 755 |
<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
|
|
|
|
| 821 |
</tr>
|
| 822 |
<tr>
|
| 823 |
<td rowspan="1"><br>NERmembert2-4entities (this model) (111M)</td>
|
| 824 |
+
<td><br>0.968</td>
|
| 825 |
+
<td><br>0.945</td>
|
| 826 |
+
<td><br>0.874</td>
|
| 827 |
+
<td><br>0.871</td>
|
| 828 |
</tr>
|
| 829 |
<tr>
|
| 830 |
<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
|
| 831 |
+
<td><br>0.969</td>
|
| 832 |
+
<td><br>0.950</td>
|
| 833 |
+
<td><br>0.897</td>
|
| 834 |
+
<td><br>0.871</td>
|
| 835 |
</tr>
|
| 836 |
<tr>
|
| 837 |
<td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
|
|
|
|
| 946 |
<tr>
|
| 947 |
<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert2-4entities">NERmembert2-4entities (this model) (111M)</a></td>
|
| 948 |
<td><br>Precision</td>
|
| 949 |
+
<td><br>0.970</td>
|
| 950 |
+
<td><br>0.942</td>
|
| 951 |
+
<td><br>0.865</td>
|
| 952 |
+
<td><br>0.883</td>
|
| 953 |
+
<td><br>0.996</td>
|
| 954 |
+
<td><br>0.985</td>
|
| 955 |
</tr>
|
| 956 |
<tr>
|
| 957 |
<td><br>Recall</td>
|
| 958 |
+
<td><br>0.966</td>
|
| 959 |
+
<td><br>0.948</td>
|
| 960 |
+
<td><br>0.883</td>
|
| 961 |
+
<td><br>0.859</td>
|
| 962 |
+
<td><br>0.996</td>
|
| 963 |
+
<td><br>0.985</td>
|
| 964 |
</tr>
|
| 965 |
<tr>
|
| 966 |
<td>F1</td>
|
| 967 |
+
<td><br>0.968</td>
|
| 968 |
+
<td><br>0.945</td>
|
| 969 |
+
<td><br>0.874</td>
|
| 970 |
+
<td><br>0.871</td>
|
| 971 |
+
<td><br>0.996</td>
|
| 972 |
+
<td><br>0.985</td>
|
| 973 |
</tr>
|
| 974 |
<tr>
|
| 975 |
<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M)</a></td>
|
| 976 |
<td><br>Precision</td>
|
| 977 |
+
<td><br>0.974</td>
|
| 978 |
+
<td><br>0.949</td>
|
| 979 |
+
<td><br>0.883</td>
|
| 980 |
+
<td><br>0.869</td>
|
| 981 |
+
<td><br>0.996</td>
|
| 982 |
+
<td><br>0.986</td>
|
| 983 |
</tr>
|
| 984 |
<tr>
|
| 985 |
<td><br>Recall</td>
|
| 986 |
+
<td><br>0.965</td>
|
| 987 |
+
<td><br>0.951</td>
|
| 988 |
+
<td><br>0.910</td>
|
| 989 |
+
<td><br>0.872</td>
|
| 990 |
+
<td><br>0.996</td>
|
| 991 |
+
<td><br>0.986</td>
|
| 992 |
</tr>
|
| 993 |
<tr>
|
| 994 |
<td>F1</td>
|
| 995 |
+
<td><br>0.969</td>
|
| 996 |
+
<td><br>0.950</td>
|
| 997 |
+
<td><br>0.897</td>
|
| 998 |
+
<td><br>0.871</td>
|
| 999 |
+
<td><br>0.996</td>
|
| 1000 |
+
<td><br>0.986</td>
|
| 1001 |
</tr>
|
| 1002 |
<tr>
|
| 1003 |
<td rowspan="3"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M)</a></td>
|