update model card README.md

README.md

@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1331
-- Rouge2 Precision: 0.3023
-- Rouge2 Recall: 0.3298
-- Rouge2 Fmeasure: 0.2949
+- Loss: 1.1204
+- Rouge2 Precision: 0.2764
+- Rouge2 Recall: 0.3441
+- Rouge2 Fmeasure: 0.2853
 
 ## Model description
 
@@ -49,10 +49,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
-| 1.3257        | 0.22  | 10   | 1.4084          | 0.1157           | 0.4297        | 0.1742          |
-| 1.6076        | 0.44  | 20   | 1.2212          | 0.337            | 0.3337        | 0.3005          |
-| 1.1881        | 0.67  | 30   | 1.2107          | 0.3219           | 0.3431        | 0.3095          |
-| 1.6237        | 0.89  | 40   | 1.1331          | 0.3023           | 0.3298        | 0.2949          |
+| 0.9594        | 0.22  | 10   | 1.3386          | 0.3393           | 0.3048        | 0.2973          |
+| 1.2189        | 0.44  | 20   | 1.1956          | 0.1935           | 0.314         | 0.2164          |
+| 1.0542        | 0.67  | 30   | 1.1580          | 0.2383           | 0.4133        | 0.2794          |
+| 1.5145        | 0.89  | 40   | 1.1204          | 0.2764           | 0.3441        | 0.2853          |
 
 
 ### Framework versions