update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.139
+      value: 0.1392
 ---
 
 <!-- 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: 2.5174
-- Rouge1: 0.139
-- Rouge2: 0.0471
-- Rougel: 0.1148
-- Rougelsum: 0.1147
+- Loss: 2.5147
+- Rouge1: 0.1392
+- Rouge2: 0.0483
+- Rougel: 0.1139
+- Rougelsum: 0.1138
 - Gen Len: 19.0
 
 ## Model description
@@ -67,10 +67,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 62   | 2.8110          | 0.1238 | 0.0338 | 0.1025 | 0.1027    | 19.0    |
-| No log        | 2.0   | 124  | 2.6018          | 0.1362 | 0.044  | 0.1125 | 0.1125    | 19.0    |
-| No log        | 3.0   | 186  | 2.5357          | 0.1373 | 0.0465 | 0.114  | 0.1138    | 19.0    |
-| No log        | 4.0   | 248  | 2.5174          | 0.139  | 0.0471 | 0.1148 | 0.1147    | 19.0    |
+| No log        | 1.0   | 62   | 2.7989          | 0.1277 | 0.0376 | 0.1053 | 0.1052    | 19.0    |
+| No log        | 2.0   | 124  | 2.5915          | 0.1339 | 0.0453 | 0.1111 | 0.1108    | 19.0    |
+| No log        | 3.0   | 186  | 2.5304          | 0.1388 | 0.0488 | 0.1142 | 0.1141    | 19.0    |
+| No log        | 4.0   | 248  | 2.5147          | 0.1392 | 0.0483 | 0.1139 | 0.1138    | 19.0    |
 
 
 ### Framework versions