Update README.md

README.md

@@ -142,33 +142,10 @@ The training follows casual LLM training practices:
 
 ### Results
 
-<table>
-<tr>
-<th rowspan="2">Models</th>
-<th colspan="2">Recall@5/10</th>
-<th colspan="2">NDCG@5/10</th>
-</tr>
-<tr>
-<th>Toys and Games</th>
-<th>All Beauty</th>
-<th>Toys and Games</th>
-<th>All Beauty</th>
-</tr>
-<tr>
-<td>PRAG-v1</td>
-<td>0.0452/0.0921</td>
-<td>0.0452/0.0921</td>
-<td>0.0267/0.0414</td>
-<td>0.0267/0.0414</td>
-</tr>
-<tr>
-<td>[TIGER](https://papers.neurips.cc/paper_files/paper/2023/file/20dcab0f14046a5c6b02b61da9f13229-Paper-Conference.pdf)</td>
-<td>0.0531/0.0712</td>
-<td>0.0454/0.0648</td>
-<td>0.0371/0.0432</td>
-<td>0.0321/0.0384</td>
-</tr>
-</table>
+| Models | Recall@5/10 (Toys and Games) | Recall@5/10 (All Beauty) | NDCG@5/10 (Toys and Games) | NDCG@5/10 (All Beauty) |
+| :--- | :--- | :--- | :--- | :--- |
+| PRAG-v1 | 0.0452/0.0921 | 0.0452/0.0921 | 0.0267/0.0414 | 0.0267/0.0414 |
+| [TIGER](https://papers.neurips.cc/paper_files/paper/2023/file/20dcab0f14046a5c6b02b61da9f13229-Paper-Conference.pdf) | 0.0531/0.0712 | 0.0454/0.0648 | 0.0371/0.0432 | 0.0321/0.0384 |
 
 ## Technical Specifications