update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 44.5107
+      value: 51.6508
 ---
 
 <!-- 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 opus_infopankki dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9956
-- Bleu: 44.5107
-- Gen Len: 14.6465
+- Loss: 0.7269
+- Bleu: 51.6508
+- Gen Len: 15.0812
 
 ## Model description
 
@@ -56,24 +56,33 @@ 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: 11
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
-| 1.696         | 1.0   | 950   | 1.4125          | 35.5899 | 15.0109 |
-| 1.4952        | 2.0   | 1900  | 1.2969          | 38.1745 | 14.7736 |
-| 1.3821        | 3.0   | 2850  | 1.2175          | 39.8192 | 14.7649 |
-| 1.2941        | 4.0   | 3800  | 1.1571          | 40.9966 | 14.7446 |
-| 1.2409        | 5.0   | 4750  | 1.1097          | 41.9215 | 14.7406 |
-| 1.1938        | 6.0   | 5700  | 1.0721          | 42.868  | 14.6819 |
-| 1.1634        | 7.0   | 6650  | 1.0440          | 43.4749 | 14.6536 |
-| 1.1355        | 8.0   | 7600  | 1.0223          | 43.9275 | 14.6809 |
-| 1.1161        | 9.0   | 8550  | 1.0075          | 44.2378 | 14.6471 |
-| 1.1103        | 10.0  | 9500  | 0.9987          | 44.4293 | 14.639  |
-| 1.1043        | 11.0  | 10450 | 0.9956          | 44.5107 | 14.6465 |
+| 1.4974        | 1.0   | 1587  | 1.3365          | 36.9061 | 15.3385 |
+| 1.3768        | 2.0   | 3174  | 1.2139          | 39.5476 | 15.2079 |
+| 1.2887        | 3.0   | 4761  | 1.1265          | 41.2771 | 15.2034 |
+| 1.2076        | 4.0   | 6348  | 1.0556          | 42.6907 | 15.2687 |
+| 1.1512        | 5.0   | 7935  | 0.9975          | 43.9498 | 15.2072 |
+| 1.0797        | 6.0   | 9522  | 0.9491          | 45.224  | 15.2034 |
+| 1.0499        | 7.0   | 11109 | 0.9101          | 46.1387 | 15.1651 |
+| 1.0095        | 8.0   | 12696 | 0.8778          | 47.0586 | 15.1788 |
+| 0.9833        | 9.0   | 14283 | 0.8501          | 47.8083 | 15.162  |
+| 0.9601        | 10.0  | 15870 | 0.8267          | 48.5236 | 15.1784 |
+| 0.9457        | 11.0  | 17457 | 0.8059          | 49.1717 | 15.095  |
+| 0.9233        | 12.0  | 19044 | 0.7883          | 49.7742 | 15.1126 |
+| 0.8964        | 13.0  | 20631 | 0.7736          | 50.2168 | 15.0917 |
+| 0.8849        | 14.0  | 22218 | 0.7606          | 50.5583 | 15.0913 |
+| 0.8751        | 15.0  | 23805 | 0.7504          | 50.8481 | 15.1108 |
+| 0.858         | 16.0  | 25392 | 0.7417          | 51.1841 | 15.0989 |
+| 0.8673        | 17.0  | 26979 | 0.7353          | 51.4271 | 15.0939 |
+| 0.8548        | 18.0  | 28566 | 0.7306          | 51.535  | 15.0911 |
+| 0.8483        | 19.0  | 30153 | 0.7279          | 51.6102 | 15.078  |
+| 0.8614        | 20.0  | 31740 | 0.7269          | 51.6508 | 15.0812 |
 
 
 ### Framework versions