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oddadmix/masrawy-english-arabic-translator

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README.md CHANGED
@@ -11,11 +11,11 @@ model-index:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # English-To-EgyptianArabic-Translator
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  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.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3011
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  ## Model description
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@@ -40,33 +40,14 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 2.9907 | 1.0 | 2396 | 2.7717 |
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- | 2.6732 | 2.0 | 4792 | 2.5879 |
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- | 2.4873 | 3.0 | 7188 | 2.5003 |
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- | 2.2897 | 4.0 | 9584 | 2.4407 |
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- | 2.2402 | 5.0 | 11980 | 2.4038 |
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- | 2.1045 | 6.0 | 14376 | 2.3795 |
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- | 2.032 | 7.0 | 16772 | 2.3621 |
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- | 1.9792 | 8.0 | 19168 | 2.3410 |
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- | 1.9129 | 9.0 | 21564 | 2.3319 |
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- | 1.8975 | 10.0 | 23960 | 2.3192 |
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- | 1.8107 | 11.0 | 26356 | 2.3170 |
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- | 1.7901 | 12.0 | 28752 | 2.3128 |
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- | 1.7654 | 13.0 | 31148 | 2.3061 |
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- | 1.6899 | 14.0 | 33544 | 2.3042 |
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- | 1.6535 | 15.0 | 35940 | 2.3061 |
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- | 1.6733 | 16.0 | 38336 | 2.3027 |
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- | 1.6643 | 17.0 | 40732 | 2.3029 |
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- | 1.6471 | 18.0 | 43128 | 2.2996 |
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- | 1.6138 | 19.0 | 45524 | 2.3013 |
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- | 1.5878 | 20.0 | 47920 | 2.3011 |
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  ### Framework versions
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # masrawy-english-arabic-translator
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  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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.9310
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 1
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.1506 | 1.0 | 2396 | 2.9310 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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