update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 39.0666
+      value: 37.9762
 ---
 
 <!-- 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: 1.1615
-- Bleu: 39.0666
-- Gen Len: 25.2812
+- Loss: 1.2282
+- Bleu: 37.9762
+- Gen Len: 25.3696
 
 ## Model description
 
@@ -57,17 +57,16 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 5
-- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 1.0   | 157  | 1.1450          | 39.429  | 25.2412 |
-| No log        | 2.0   | 314  | 1.1531          | 39.1045 | 25.2136 |
-| No log        | 3.0   | 471  | 1.1560          | 39.1684 | 25.2308 |
-| 1.954         | 4.0   | 628  | 1.1604          | 39.1528 | 25.2544 |
-| 1.954         | 5.0   | 785  | 1.1615          | 39.0666 | 25.2812 |
+| No log        | 1.0   | 157  | 1.1837          | 38.8278 | 25.22   |
+| No log        | 2.0   | 314  | 1.2057          | 38.3047 | 25.2908 |
+| No log        | 3.0   | 471  | 1.2167          | 38.231  | 25.316  |
+| 1.4808        | 4.0   | 628  | 1.2256          | 37.9871 | 25.3556 |
+| 1.4808        | 5.0   | 785  | 1.2282          | 37.9762 | 25.3696 |
 
 
 ### Framework versions