update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 39.3706
+      value: 38.959
 ---
 
 <!-- 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: 1.1458
-- Bleu: 39.3706
-- Gen Len: 25.2688
+- Loss: 1.1719
+- Bleu: 38.959
+- Gen Len: 25.2812
 
 ## Model description
 
@@ -56,14 +56,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 1.0   | 157  | 1.1458          | 39.3706 | 25.2688 |
+| No log        | 1.0   | 157  | 1.1492          | 39.2552 | 25.2268 |
+| No log        | 2.0   | 314  | 1.1601          | 38.8343 | 25.2288 |
+| No log        | 3.0   | 471  | 1.1651          | 39.0092 | 25.254  |
+| 1.8512        | 4.0   | 628  | 1.1704          | 38.9281 | 25.2756 |
+| 1.8512        | 5.0   | 785  | 1.1719          | 38.959  | 25.2812 |
 
 
 ### Framework versions