Update README.md

README.md

@@ -15,10 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # results_arabicTranslation
 
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset.
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en)  
 It achieves the following results on the evaluation set:
-- Loss: 1.6140
-- Bleu: 39.7635
+Epoch	Training Loss	Validation Loss	Bleu
+1	2.271900	2.034573	25.406637
+2	1.854200	1.787860	20.556681
+3	1.642800	1.677009	24.274589
+4	1.508300	1.630295	20.556681
+5	1.447700	1.615814	24.274589
 
 ## Model description
 
@@ -44,17 +48,8 @@ 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
+- mixed_precision_training: True FP16 enabled
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Bleu    |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 2.2767        | 1.0   | 1507 | 2.0376          | 0.0     |
-| 1.8477        | 2.0   | 3014 | 1.7873          | 0.0     |
-| 1.644         | 3.0   | 4521 | 1.6827          | 39.7635 |
-| 1.5109        | 4.0   | 6028 | 1.6299          | 39.7635 |
-| 1.4356        | 5.0   | 7535 | 1.6140          | 39.7635 |
 
 
 ### Framework versions