Update README.md

README.md

@@ -43,6 +43,8 @@ For space reasons, we show only the F1 of the different models. You can see the
 <thead>
     <tr>
       <th><br>Model</th>
+      <th><br>Parameters</th>
+      <th><br>Context</th>
       <th><br>PER</th>
       <th><br>LOC</th>
       <th><br>ORG</th>
@@ -51,42 +53,54 @@ For space reasons, we show only the F1 of the different models. You can see the
 </thead>
 <tbody>
     <tr>
-        <td rowspan="1"><br><a href="https://hf.co/Jean-Baptiste/camembert-ner">Jean-Baptiste/camembert-ner (110M, 512 tokens)</a></td>
+        <td rowspan="1"><br><a href="https://hf.co/Jean-Baptiste/camembert-ner">Jean-Baptiste/camembert-ner</a></td>
+        <td><br>110M</td>
+        <td><br>512 tokens</td>
         <td><br>0.971</td>
         <td><br>0.947</td>
         <td><br>0.902</td>
         <td><br>0.663</td>
     </tr>
       <tr>
-        <td rowspan="1"><br><a href="https://hf.co/cmarkea/distilcamembert-base-ner">cmarkea/distilcamembert-base-ner (67.5M, 512 tokens)</a></td>
+        <td rowspan="1"><br><a href="https://hf.co/cmarkea/distilcamembert-base-ner">cmarkea/distilcamembert-base-ner</a></td>
+        <td><br>67.5M</td>
+        <td><br>512 tokens</td>
         <td><br>0.974</td>
         <td><br>0.948</td>
         <td><br>0.892</td>
         <td><br>0.658</td>
     </tr>
     <tr>
-        <td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmembert-base-4entities">NERmembert-base-4entities (110M, 512 tokens)</a></td>
+        <td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmembert-base-4entities">NERmembert-base-4entities</a></td>
+        <td><br>110M</td>
+        <td><br>512 tokens</td>
         <td><br>0.978</td>
         <td><br>0.958</td>
         <td><br>0.903</td>
         <td><br>0.814</td>
     </tr>
       <tr>
-        <td rowspan="1"><br>NERmembert2-4entities (111M, 1024 tokens) (this model)</td>
+        <td rowspan="1"><br>NERmembert2-4entities (this model)</td>
+        <td><br>111M</td>
+        <td><br>1024 tokens</td>
         <td><br>0.978</td>
         <td><br>0.958</td>
         <td><br>0.901</td>
         <td><br>0.806</td>
     </tr>
     <tr>
-        <td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities (111M, 1024 tokens)</a></td>
+        <td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmemberta-4entities">NERmemberta-4entities</a></td>
+        <td><br>111M</td>
+        <td><br>1024 tokens</td>
         <td><br>0.979</td>
         <td><br>0.961</td>
         <td><br>0.915</td>
         <td><br>0.812</td>
     </tr>
       <tr>
-        <td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities (336M, 512 tokens)</a></td>
+        <td rowspan="1"><br><a href="https://hf.co/CATIE-AQ/NERmembert-large-4entities">NERmembert-large-4entities</a></td>
+        <td><br>336M</td>
+        <td><br>512 tokens</td>
         <td><br><b>0.982</b></td>
         <td><br><b>0.964</b></td>
         <td><br><b>0.919</b></td>
@@ -96,6 +110,7 @@ For space reasons, we show only the F1 of the different models. You can see the
 </table>
 
 
+
 <details>
 <summary>Full results</summary>
 <table>