update model card README.md

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 52.2582
+      value: 12.6315
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,12 +30,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5234
-- Rouge1: 52.2582
-- Rouge2: 34.8162
-- Rougel: 50.5491
-- Rougelsum: 50.6121
-- Gen Len: 18.996
+- Loss: 2.3376
+- Rouge1: 12.6315
+- Rouge2: 6.9839
+- Rougel: 10.9983
+- Rougelsum: 11.9383
+- Gen Len: 19.0
 
 ## Model description
 
@@ -65,12 +65,12 @@ 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   | 495  | 1.8113          | 58.4024 | 41.7432 | 56.9521 | 57.0516   | 18.9597 |
-| 2.709         | 2.0   | 990  | 1.6230          | 47.7769 | 32.1777 | 46.0344 | 46.046    | 18.996  |
-| 1.9323        | 3.0   | 1485 | 1.5459          | 51.2371 | 33.8242 | 49.4532 | 49.5038   | 18.996  |
-| 1.7842        | 4.0   | 1980 | 1.5234          | 52.2582 | 34.8162 | 50.5491 | 50.6121   | 18.996  |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 495  | 2.4805          | 9.9389  | 4.1239 | 8.3979  | 9.1599    | 19.0    |
+| 3.1564        | 2.0   | 990  | 2.3833          | 12.1026 | 6.5196 | 10.5123 | 11.4527   | 19.0    |
+| 2.66          | 3.0   | 1485 | 2.3496          | 12.5389 | 6.8686 | 10.8798 | 11.8636   | 19.0    |
+| 2.5671        | 4.0   | 1980 | 2.3376          | 12.6315 | 6.9839 | 10.9983 | 11.9383   | 19.0    |
 
 
 ### Framework versions