update model card README.md

README.md

@@ -1,6 +1,8 @@
 ---
 tags:
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: pegasus-model3
   results: []
@@ -12,6 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
 # pegasus-model3
 
 This model is a fine-tuned version of [theojolliffe/pegasus-cnn_dailymail-v4-e1-e4-feedback](https://huggingface.co/theojolliffe/pegasus-cnn_dailymail-v4-e1-e4-feedback) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2808
+- Rouge1: 70.5507
+- Rouge2: 66.5776
+- Rougel: 64.6438
+- Rougelsum: 70.0264
+- Gen Len: 123.7447
 
 ## Model description
 
@@ -41,9 +50,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 201  | 0.8323          | 47.6365 | 35.0359 | 33.5341 | 46.2229   | 127.0   |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
+| 0.4839        | 1.0   | 748  | 0.2808          | 70.5507 | 66.5776 | 64.6438 | 70.0264   | 123.7447 |
 
 
 ### Framework versions