update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.1404
+      value: 0.1401
 ---
 
 <!-- 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: 2.5029
-- Rouge1: 0.1404
-- Rouge2: 0.0484
-- Rougel: 0.1144
-- Rougelsum: 0.1146
+- Loss: 2.6075
+- Rouge1: 0.1401
+- Rouge2: 0.0481
+- Rougel: 0.1154
+- Rougelsum: 0.1156
 - Gen Len: 19.0
 
 ## Model description
@@ -68,15 +68,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 62   | 2.7937          | 0.1279 | 0.0333 | 0.1048 | 0.1051    | 19.0    |
-| No log        | 2.0   | 124  | 2.5847          | 0.1379 | 0.0453 | 0.1138 | 0.1138    | 19.0    |
-| No log        | 3.0   | 186  | 2.5205          | 0.1399 | 0.0479 | 0.1132 | 0.1133    | 19.0    |
-| No log        | 4.0   | 248  | 2.5029          | 0.1404 | 0.0484 | 0.1144 | 0.1146    | 19.0    |
+| No log        | 1.0   | 62   | 2.9015          | 0.1244 | 0.0356 | 0.1041 | 0.1043    | 19.0    |
+| No log        | 2.0   | 124  | 2.6856          | 0.1355 | 0.0462 | 0.1133 | 0.1135    | 19.0    |
+| No log        | 3.0   | 186  | 2.6259          | 0.1397 | 0.0477 | 0.115  | 0.1151    | 19.0    |
+| No log        | 4.0   | 248  | 2.6075          | 0.1401 | 0.0481 | 0.1154 | 0.1156    | 19.0    |
 
 
 ### Framework versions
 
 - Transformers 4.28.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.14.1
+- Datasets 2.14.2
 - Tokenizers 0.13.3