update model card README.md

README.md

@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [VietAI/vit5-base-vietnews-summarization](https://huggingface.co/VietAI/vit5-base-vietnews-summarization) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9529
-- Rouge1: 46.9407
-- Rouge2: 20.9876
-- Rougel: 33.0832
-- Rougelsum: 33.2396
-- Gen Len: 18.9604
+- Loss: 1.9536
+- Rouge1: 47.0452
+- Rouge2: 21.1233
+- Rougel: 33.2693
+- Rougelsum: 33.4168
+- Gen Len: 18.9626
 
 ## Model description
 
@@ -54,12 +54,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 2.2864        | 1.0   | 2007 | 1.9529          | 46.9407 | 20.9876 | 33.0832 | 33.2396   | 18.9604 |
+| 2.3275        | 1.0   | 1982 | 1.9536          | 47.0452 | 21.1233 | 33.2693 | 33.4168   | 18.9626 |
 
 
 ### Framework versions
 
 - Transformers 4.30.0
 - Pytorch 2.3.0+cu121
-- Datasets 2.19.1
+- Datasets 2.19.2
 - Tokenizers 0.13.3