update model card README.md

README.md

@@ -17,11 +17,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3321
-- Rouge1: 0.1914
-- Rouge2: 0.1314
+- Loss: 0.3029
+- Rouge1: 0.1908
+- Rouge2: 0.1287
 - Rougel: 0.1738
-- Rougelsum: 0.1738
+- Rougelsum: 0.174
 - Gen Len: 19.0
 
 ## Model description
@@ -53,15 +53,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 223  | 0.4008          | 0.1895 | 0.1299 | 0.1715 | 0.1716    | 19.0    |
-| No log        | 2.0   | 446  | 0.3517          | 0.1906 | 0.1311 | 0.1726 | 0.1726    | 19.0    |
-| 0.6596        | 3.0   | 669  | 0.3364          | 0.1915 | 0.1322 | 0.174  | 0.174     | 19.0    |
-| 0.6596        | 4.0   | 892  | 0.3321          | 0.1914 | 0.1314 | 0.1738 | 0.1738    | 19.0    |
+| No log        | 1.0   | 223  | 0.3720          | 0.1844 | 0.121  | 0.1663 | 0.1665    | 19.0    |
+| No log        | 2.0   | 446  | 0.3240          | 0.1876 | 0.124  | 0.1692 | 0.1694    | 19.0    |
+| 0.664         | 3.0   | 669  | 0.3072          | 0.1876 | 0.1244 | 0.1701 | 0.1704    | 19.0    |
+| 0.664         | 4.0   | 892  | 0.3029          | 0.1908 | 0.1287 | 0.1738 | 0.174     | 19.0    |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.13.1
+- Datasets 2.14.1
 - Tokenizers 0.13.3