update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 8.5193
+      value: 56.0516
     - name: Bleu
       type: bleu
-      value: 0.0
+      value: 12.7025
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,15 +33,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bart-base-translate-en-vi
 
-This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the mt_eng_vietnamese dataset.
+This model is a fine-tuned version of [GuysTrans/bart-base-translate-en-vi](https://huggingface.co/GuysTrans/bart-base-translate-en-vi) on the mt_eng_vietnamese dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0211
-- Rouge1: 8.5193
-- Rouge2: 1.09
-- Rougel: 7.7119
-- Rougelsum: 7.7159
-- Bleu: 0.0
-- Gen Len: 20.0
+- Loss: 0.6744
+- Rouge1: 56.0516
+- Rouge2: 34.1326
+- Rougel: 47.1473
+- Rougelsum: 47.8225
+- Bleu: 12.7025
+- Gen Len: 19.9921
 
 ## Model description
 
@@ -71,9 +71,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:----:|:-------:|
-| 0.0223        | 1.0   | 16665 | 0.0211          | 8.5193 | 1.09   | 7.7119 | 7.7159    | 0.0  | 20.0    |
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|
+| 0.6711        | 1.0   | 16665 | 0.6744          | 56.0516 | 34.1326 | 47.1473 | 47.8225   | 12.7025 | 19.9921 |
 
 
 ### Framework versions