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README.md

@@ -130,7 +130,15 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+
+| Test Category     | Adapter Accuracy | Base Model Accuracy | Improvement |
+| ----------------- | ---------------- | ------------------- | ----------- |
+| irrelevance       | 76.25%           | 72.08%              | +4.17%      |
+| parallel_multiple | 89.50%           | 10.00%              | +79.50%     |
+| parallel          | 89.50%           | 11.50%              | +78.00%     |
+| simple            | 92.75%           | 24.75%              | +68.00%     |
+| multiple          | 93.50%           | 20.00%              | +73.50%     |
+
 
 ## Intended uses & limitations
 
@@ -158,11 +166,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.8199        | 0.0072 | 1    | 0.6489          |
-| 0.0898        | 0.3381 | 47   | 0.2228          |
-| 0.2114        | 0.6763 | 94   | 0.2159          |
+| Training Loss | Epoch  | Step  | Validation Loss |
+| :-----------: | :----: | :---: | :-------------: |
+|    0.8199     | 0.0072 |   1   |     0.6489      |
+|    0.0898     | 0.3381 |  47   |     0.2228      |
+|    0.2114     | 0.6763 |  94   |     0.2159      |
 
 
 ### Framework versions