update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.1379
+      value: 0.1468
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,11 +31,11 @@ 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: 2.5334
-- Rouge1: 0.1379
-- Rouge2: 0.051
-- Rougel: 0.1166
-- Rougelsum: 0.1165
+- Loss: 2.4947
+- Rouge1: 0.1468
+- Rouge2: 0.0523
+- Rougel: 0.12
+- Rougelsum: 0.1199
 - Gen Len: 19.0
 
 ## Model description
@@ -68,10 +68,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 62   | 2.8241          | 0.1231 | 0.0343 | 0.105  | 0.1047    | 19.0    |
-| No log        | 2.0   | 124  | 2.6154          | 0.1313 | 0.0454 | 0.1112 | 0.1111    | 19.0    |
-| No log        | 3.0   | 186  | 2.5504          | 0.1367 | 0.0507 | 0.1153 | 0.1149    | 19.0    |
-| No log        | 4.0   | 248  | 2.5334          | 0.1379 | 0.051  | 0.1166 | 0.1165    | 19.0    |
+| No log        | 1.0   | 62   | 2.7973          | 0.1277 | 0.0337 | 0.1053 | 0.1056    | 19.0    |
+| No log        | 2.0   | 124  | 2.5766          | 0.1358 | 0.0441 | 0.1122 | 0.1123    | 19.0    |
+| No log        | 3.0   | 186  | 2.5121          | 0.144  | 0.0509 | 0.1182 | 0.1183    | 19.0    |
+| No log        | 4.0   | 248  | 2.4947          | 0.1468 | 0.0523 | 0.12   | 0.1199    | 19.0    |
 
 
 ### Framework versions