update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 0.0756
+      value: 36.3549
 ---
 
 <!-- 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: 3.2173
-- Bleu: 0.0756
-- Gen Len: 330.32
+- Loss: 9.1296
+- Bleu: 36.3549
+- Gen Len: 56.48
 
 ## Model description
 
@@ -50,7 +50,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.001
+- learning_rate: 2e-06
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -60,11 +60,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| No log        | 1.0   | 4    | 5.5459          | 0.1405 | 511.0   |
-| No log        | 2.0   | 8    | 3.8021          | 0.0206 | 511.0   |
-| No log        | 3.0   | 12   | 3.2173          | 0.0756 | 330.32  |
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| No log        | 1.0   | 4    | 9.4200          | 36.1989 | 56.48   |
+| No log        | 2.0   | 8    | 9.2108          | 36.3549 | 56.48   |
+| No log        | 3.0   | 12   | 9.1296          | 36.3549 | 56.48   |
 
 
 ### Framework versions