oddadmix/English-To-EgyptianArabic-Translator

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8722
+- Loss: 1.9539
 
 ## Model description
 
@@ -36,38 +36,23 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 20
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 1.5425        | 1.0   | 4701  | 1.9165          |
-| 1.4814        | 2.0   | 9402  | 1.8411          |
-| 1.3308        | 3.0   | 14103 | 1.8098          |
-| 1.2401        | 4.0   | 18804 | 1.7975          |
-| 1.1253        | 5.0   | 23505 | 1.7835          |
-| 1.02          | 6.0   | 28206 | 1.7948          |
-| 0.9592        | 7.0   | 32907 | 1.8001          |
-| 0.8913        | 8.0   | 37608 | 1.8011          |
-| 0.808         | 9.0   | 42309 | 1.8004          |
-| 0.7824        | 10.0  | 47010 | 1.8144          |
-| 0.7382        | 11.0  | 51711 | 1.8230          |
-| 0.6639        | 12.0  | 56412 | 1.8272          |
-| 0.6307        | 13.0  | 61113 | 1.8363          |
-| 0.6096        | 14.0  | 65814 | 1.8416          |
-| 0.5885        | 15.0  | 70515 | 1.8533          |
-| 0.549         | 16.0  | 75216 | 1.8609          |
-| 0.5113        | 17.0  | 79917 | 1.8633          |
-| 0.5041        | 18.0  | 84618 | 1.8700          |
-| 0.4829        | 19.0  | 89319 | 1.8681          |
-| 0.4847        | 20.0  | 94020 | 1.8722          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5573        | 1.0   | 1176 | 1.9312          |
+| 0.5336        | 2.0   | 2352 | 1.9439          |
+| 0.5055        | 3.0   | 3528 | 1.9478          |
+| 0.472         | 4.0   | 4704 | 1.9486          |
+| 0.4585        | 5.0   | 5880 | 1.9539          |
 
 
 ### Framework versions

model.safetensors

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runs/Nov20_23-49-28_n11x8j43o5/events.out.tfevents.1732146568.n11x8j43o5.352.7

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training_args.bin

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