Update README.md

README.md

@@ -27,7 +27,7 @@ co2_eq_emissions: 35
 
 We present **Camembert-NER-base-frenchNER**, which is a [CamemBERT base](https://huggingface.co/camembert-base) fine-tuned for the Name Entity Recognition task for the French language on five French NER datasets for 3 entities (LOC, PER, ORG).  
 All these datasets were concatenated and cleaned into a single dataset that we called [frenchNER](https://huggingface.co/datasets/CATIE-AQ/frenchNER).  
-This represents a total of over **420,264 rows, of which 346,071 are for training, 32,951 for validation and 41,242 for testing.**.  
+This represents a total of over **420,264 rows, of which 346,071 are for training, 32,951 for validation and 41,242 for testing.**   
 Our methodology is described in a blog post available in [English](https://blog.vaniila.ai/en/NER_en/) or [French](https://blog.vaniila.ai/NER/).
 
 
@@ -82,19 +82,266 @@ The distribution of the entities is as follows:
 The evaluation was carried out using the [**evaluate**](https://pypi.org/project/evaluate/) python package.
 
 ### multiconer
-TODO
+
+<table>
+<thead>
+    <tr>
+      <th><br>Model</th>
+      <th><br>Metrics</th>
+      <th><br>PER</th>
+      <th><br>LOC</th>
+      <th><br>ORG</th>
+      <th><br>Other</th>
+      <th><br>Overall</th>
+    </tr>
+</thead>
+<tbody>
+    <tr>
+        <td rowspan="3"><br>Camembert-base-frenchNER_3entities</td>
+        <td><br>Precision</td>
+        <td><br>0,957</td>
+        <td><br>0,894</td>
+        <td><br>0,876</td>
+        <td><br>0,986</td>
+        <td><br>0,972</td>
+    </tr>
+    <tr>
+        <td><br>Recall</td>
+        <td><br>0,962</td>
+        <td><br>0,880</td>
+        <td><br>0,878</td>
+        <td><br>0,985</td>
+        <td><br>0,972</td>
+    </tr>
+    <tr>
+        <td>F1</td>
+        <td><br>0,960</td>
+        <td><br>0,887</td>
+        <td><br>0,876</td>
+        <td><br>0,985</td>
+        <td><br>0,972</td>
+    </tr>
+    <tr>
+        <td></td>
+        <td><br>Number</td>
+        <td><br>2,526</td>
+        <td><br>884</td>
+        <td><br>830</td>
+        <td><br>13,710</td>
+        <td><br>17,950</td>
+    </tr>
+</tbody>
+</table>
 
 ### multinerd
-TODO
+
+<table>
+<thead>
+    <tr>
+      <th><br>Model</th>
+      <th><br>Metrics</th>
+      <th><br>PER</th>
+      <th><br>LOC</th>
+      <th><br>ORG</th>
+      <th><br>Other</th>
+      <th><br>Overall</th>
+    </tr>
+</thead>
+<tbody>
+    <tr>
+        <td rowspan="3"><br>Camembert-base-frenchNER_3entities</td>
+        <td><br>Precision</td>
+        <td><br>0,974</td>
+        <td><br>0,965</td>
+        <td><br>0,910</td>
+        <td><br>0,999</td>
+        <td><br>0,995</td>
+    </tr>
+    <tr>
+        <td><br>Recall</td>
+        <td><br>0,995</td>
+        <td><br>0,981</td>
+        <td><br>0,968</td>
+        <td><br>0,996</td>
+        <td><br>0,995</td>
+    </tr>
+    <tr>
+        <td>F1</td>
+        <td><br>0,985</td>
+        <td><br>0,973</td>
+        <td><br>0,938</td>
+        <td><br>0,998</td>
+        <td><br>0,995</td>
+    </tr>
+    <tr>
+        <td></td>
+        <td><br>Number</td>
+        <td><br>36,365</td>
+        <td><br>27,101</td>
+        <td><br>5,411</td>
+        <td><br>529,523</td>
+        <td><br>598,400</td>
+    </tr>
+</tbody>
+</table>
 
 ### wikiann
-TODO
+
+<table>
+<thead>
+    <tr>
+      <th><br>Model</th>
+      <th><br>Metrics</th>
+      <th><br>PER</th>
+      <th><br>LOC</th>
+      <th><br>ORG</th>
+      <th><br>Other</th>
+      <th><br>Overall</th>
+    </tr>
+</thead>
+<tbody>
+    <tr>
+        <td rowspan="3"><br>Camembert-base-frenchNER_3entities</td>
+        <td><br>Precision</td>
+        <td><br>0,948</td>
+        <td><br>0,900</td>
+        <td><br>0,893</td>
+        <td><br>0,979</td>
+        <td><br>0,942</td>
+    </tr>
+    <tr>
+        <td><br>Recall</td>
+        <td><br>0,946</td>
+        <td><br>0,911</td>
+        <td><br>0,878</td>
+        <td><br>0,982</td>
+        <td><br>0,942</td>
+    </tr>
+    <tr>
+        <td>F1</td>
+        <td><br>0,947</td>
+        <td><br>0,906</td>
+        <td><br>0,886</td>
+        <td><br>0,980</td>
+        <td><br>0,942</td>
+    </tr>
+    <tr>
+        <td></td>
+        <td><br>Number</td>
+        <td><br>21,656</td>
+        <td><br>19,757</td>
+        <td><br>21,592</td>
+        <td><br>47,318</td>
+        <td><br>110,323</td>
+    </tr>
+</tbody>
+</table>
 
 ### wikiner
-TODO
+
+<table>
+<thead>
+    <tr>
+      <th><br>Model</th>
+      <th><br>Metrics</th>
+      <th><br>PER</th>
+      <th><br>LOC</th>
+      <th><br>ORG</th>
+      <th><br>Other</th>
+      <th><br>Overall</th>
+    </tr>
+</thead>
+<tbody>
+    <tr>
+        <td rowspan="3"><br>Camembert-base-frenchNER_3entities</td>
+        <td><br>Precision</td>
+        <td><br>0,971</td>
+        <td><br>0,947</td>
+        <td><br>0,866</td>
+        <td><br>0,994</td>
+        <td><br>0,989</td>
+    </tr>
+    <tr>
+        <td><br>Recall</td>
+        <td><br>0,969</td>
+        <td><br>0,942</td>
+        <td><br>0,891</td>
+        <td><br>0,995</td>
+        <td><br>0,989</td>
+    </tr>
+    <tr>
+        <td>F1</td>
+        <td><br>0,969</td>
+        <td><br>0,945</td>
+        <td><br>0,878</td>
+        <td><br>0,995</td>
+        <td><br>0,989</td>
+    </tr>
+    <tr>
+        <td></td>
+        <td><br>Number</td>
+        <td><br>26,053</td>
+        <td><br>29,004</td>
+        <td><br>6,253</td>
+        <td><br>394,986</td>
+        <td><br>456,296</td>
+    </tr>
+</tbody>
+</table>
 
 ### frenchNER
-TODO
+
+<table>
+<thead>
+    <tr>
+      <th><br>Model</th>
+      <th><br>Metrics</th>
+      <th><br>PER</th>
+      <th><br>LOC</th>
+      <th><br>ORG</th>
+      <th><br>Other</th>
+      <th><br>Overall</th>
+    </tr>
+</thead>
+<tbody>
+    <tr>
+        <td rowspan="3"><br>Camembert-base-frenchNER_3entities</td>
+        <td><br>Precision</td>
+        <td><br>0,961</td>
+        <td><br>0,935</td>
+        <td><br>0,877</td>
+        <td><br>0,995</td>
+        <td><br>0,986</td>
+    </tr>
+    <tr>
+        <td><br>Recall</td>
+        <td><br>0,972</td>
+        <td><br>0,946</td>
+        <td><br>0,876</td>
+        <td><br>0,994</td>
+        <td><br>0,986</td>
+    </tr>
+    <tr>
+        <td>F1</td>
+        <td><br>0,966</td>
+        <td><br>0,940</td>
+        <td><br>0,876</td>
+        <td><br>0,994</td>
+        <td><br>0,986</td>
+    </tr>
+    <tr>
+        <td></td>
+        <td><br>Number</td>
+        <td><br>88,139</td>
+        <td><br>78,278</td>
+        <td><br>35,788</td>
+        <td><br>1,040,925</td>
+        <td><br>1,243,130</td>
+    </tr>
+</tbody>
+</table>
+
+
 
 ## Usage
 ### Code