update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 36.3138
+      value: 32.7441
 ---
 
 <!-- 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: 8.4415
+- Bleu: 32.7441
+- Gen Len: 57.02
 
 ## Model description
 
@@ -62,14 +62,14 @@ 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   | 4    | 8.4416          | 32.7441 | 57.02   |
+| No log        | 2.0   | 8    | 8.4415          | 32.7441 | 57.02   |
+| No log        | 3.0   | 12   | 8.4415          | 32.7441 | 57.02   |
 
 
 ### Framework versions
 
-- Transformers 4.19.4
+- Transformers 4.20.0
 - Pytorch 1.11.0+cu113
-- Datasets 2.3.1
+- Datasets 2.3.2
 - Tokenizers 0.12.1