update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 39.391
+      value: 39.3557
 ---
 
 <!-- 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-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on the wmt16 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1457
-- Bleu: 39.391
-- Gen Len: 25.2684
+- Loss: 1.1443
+- Bleu: 39.3557
+- Gen Len: 25.308
 
 ## Model description
 
@@ -50,7 +50,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 2e-06
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| No log        | 1.0   | 157  | 1.1457          | 39.391 | 25.2684 |
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| No log        | 1.0   | 157  | 1.1443          | 39.3557 | 25.308  |
 
 
 ### Framework versions