update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 36.3138
+      value: 33.9536
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,9 +29,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the news_commentary dataset.
 It achieves the following results on the evaluation set:
-- Loss: 9.7675
-- Bleu: 36.3138
-- Gen Len: 57.0
+- Loss: 9.5703
+- Bleu: 33.9536
+- Gen Len: 56.22
 
 ## Model description
 
@@ -62,9 +62,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 1.0   | 4    | 9.7676          | 36.3138 | 57.0    |
-| No log        | 2.0   | 8    | 9.7675          | 36.3138 | 57.0    |
-| No log        | 3.0   | 12   | 9.7675          | 36.3138 | 57.0    |
+| No log        | 1.0   | 7    | 9.5705          | 33.9536 | 56.22   |
+| No log        | 2.0   | 14   | 9.5704          | 33.9536 | 56.22   |
+| No log        | 3.0   | 21   | 9.5703          | 33.9536 | 56.22   |
 
 
 ### Framework versions