update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.1451
+      value: 0.1394
 ---
 
 <!-- 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: 2.5383
-- Rouge1: 0.1451
-- Rouge2: 0.0521
-- Rougel: 0.1168
-- Rougelsum: 0.1168
+- Loss: 2.5824
+- Rouge1: 0.1394
+- Rouge2: 0.0502
+- Rougel: 0.1134
+- Rougelsum: 0.1133
 - Gen Len: 19.0
 
 ## Model description
@@ -69,10 +69,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 62   | 2.8314          | 0.1277 | 0.0385 | 0.1067 | 0.1068    | 19.0    |
-| No log        | 2.0   | 124  | 2.6230          | 0.136  | 0.0457 | 0.1112 | 0.111     | 19.0    |
-| No log        | 3.0   | 186  | 2.5558          | 0.1439 | 0.0522 | 0.1163 | 0.1161    | 19.0    |
-| No log        | 4.0   | 248  | 2.5383          | 0.1451 | 0.0521 | 0.1168 | 0.1168    | 19.0    |
+| No log        | 1.0   | 55   | 2.9056          | 0.1255 | 0.0372 | 0.1049 | 0.1049    | 19.0    |
+| No log        | 2.0   | 110  | 2.6665          | 0.1345 | 0.0456 | 0.1098 | 0.11      | 19.0    |
+| No log        | 3.0   | 165  | 2.6010          | 0.1378 | 0.0485 | 0.1122 | 0.1123    | 19.0    |
+| No log        | 4.0   | 220  | 2.5824          | 0.1394 | 0.0502 | 0.1134 | 0.1133    | 19.0    |
 
 
 ### Framework versions