update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 69.8238
+      value: 70.1044
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,9 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-uk](https://huggingface.co/Helsinki-NLP/opus-mt-ru-uk) on the para_pat dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5087
-- Bleu: 69.8238
-- Gen Len: 100.5158
+- Loss: 0.5266
+- Bleu: 70.1044
+- Gen Len: 122.6206
 
 ## Model description
 
@@ -53,18 +53,21 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len  |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|
-| 0.6239        | 1.0   | 4299 | 0.5087          | 69.8238 | 100.5158 |
+| 0.9218        | 1.0   | 2150 | 0.6965          | 64.5544 | 123.2615 |
+| 0.7195        | 2.0   | 4300 | 0.5750          | 68.3283 | 122.4044 |
+| 0.6363        | 3.0   | 6450 | 0.5380          | 69.7152 | 122.6875 |
+| 0.6086        | 4.0   | 8600 | 0.5266          | 70.1044 | 122.6206 |
 
 
 ### Framework versions