update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.137
+      value: 0.1405
 ---
 
 <!-- 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: 2.5338
-- Rouge1: 0.137
-- Rouge2: 0.0454
-- Rougel: 0.1117
-- Rougelsum: 0.1115
+- Loss: 2.4284
+- Rouge1: 0.1405
+- Rouge2: 0.0517
+- Rougel: 0.1158
+- Rougelsum: 0.1157
 - 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   | 2.8264          | 0.1238 | 0.0329 | 0.1023 | 0.102     | 19.0    |
-| No log        | 2.0   | 124  | 2.6147          | 0.1322 | 0.0413 | 0.1093 | 0.1094    | 19.0    |
-| No log        | 3.0   | 186  | 2.5518          | 0.135  | 0.0432 | 0.1095 | 0.1093    | 19.0    |
-| No log        | 4.0   | 248  | 2.5338          | 0.137  | 0.0454 | 0.1117 | 0.1115    | 19.0    |
+| No log        | 1.0   | 62   | 2.7231          | 0.1246 | 0.0356 | 0.1039 | 0.1039    | 19.0    |
+| No log        | 2.0   | 124  | 2.5099          | 0.1335 | 0.0463 | 0.1116 | 0.1116    | 19.0    |
+| No log        | 3.0   | 186  | 2.4451          | 0.1383 | 0.0509 | 0.114  | 0.114     | 19.0    |
+| No log        | 4.0   | 248  | 2.4284          | 0.1405 | 0.0517 | 0.1158 | 0.1157    | 19.0    |
 
 
 ### Framework versions
 
-- Transformers 4.27.2
+- Transformers 4.27.4
 - Pytorch 1.13.1+cu116
-- Datasets 2.10.1
+- Datasets 2.11.0
 - Tokenizers 0.13.2