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ahmed792002/Finetuning_mt-en-ar_English_Arabic_Translation

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README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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- base_model: Helsinki-NLP/opus-mt-en-ar
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  library_name: transformers
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2744
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  ## Model description
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@@ -41,13 +41,27 @@ 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: 1
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.3362 | 1.0 | 2000 | 0.2744 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
 
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  library_name: transformers
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  license: apache-2.0
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+ base_model: Helsinki-NLP/opus-mt-en-ar
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  tags:
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  - generated_from_trainer
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  model-index:
 
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1618
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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: 15
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.3063 | 1.0 | 2000 | 0.2406 |
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+ | 0.2338 | 2.0 | 4000 | 0.2032 |
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+ | 0.2047 | 3.0 | 6000 | 0.1842 |
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+ | 0.1698 | 4.0 | 8000 | 0.1738 |
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+ | 0.1586 | 5.0 | 10000 | 0.1690 |
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+ | 0.1394 | 6.0 | 12000 | 0.1664 |
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+ | 0.1307 | 7.0 | 14000 | 0.1636 |
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+ | 0.1229 | 8.0 | 16000 | 0.1627 |
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+ | 0.1176 | 9.0 | 18000 | 0.1611 |
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+ | 0.1094 | 10.0 | 20000 | 0.1608 |
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+ | 0.1007 | 11.0 | 22000 | 0.1600 |
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+ | 0.0959 | 12.0 | 24000 | 0.1610 |
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+ | 0.0955 | 13.0 | 26000 | 0.1609 |
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+ | 0.0942 | 14.0 | 28000 | 0.1618 |
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+ | 0.0904 | 15.0 | 30000 | 0.1618 |
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  ### Framework versions
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