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oddadmix/masrawy-english-arabic-translator-clauda-opus-v1

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README.md CHANGED
@@ -15,7 +15,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9350
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  ## Model description
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@@ -35,34 +35,29 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 8
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- - total_train_batch_size: 64
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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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- | 2.6915 | 1.0 | 1870 | 2.4310 |
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- | 2.3824 | 2.0 | 3740 | 2.2902 |
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- | 2.2275 | 3.0 | 5611 | 2.2189 |
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- | 2.1461 | 4.0 | 7481 | 2.1871 |
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- | 2.1294 | 5.0 | 9720 | 1.9911 |
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- | 2.0879 | 6.0 | 11665 | 1.9805 |
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- | 2.011 | 7.0 | 13609 | 1.9687 |
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- | 1.9463 | 8.0 | 15554 | 1.9595 |
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- | 1.8914 | 9.0 | 17499 | 1.9506 |
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- | 1.8446 | 10.0 | 19443 | 1.9429 |
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- | 1.8157 | 11.0 | 21388 | 1.9388 |
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- | 1.7932 | 12.0 | 23333 | 1.9402 |
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- | 1.7528 | 13.0 | 25277 | 1.9360 |
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- | 1.741 | 14.0 | 27222 | 1.9378 |
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- | 1.7257 | 15.0 | 29160 | 1.9350 |
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  ### Framework versions
 
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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: 2.1734
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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  - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 128
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 2.8321 | 1.0 | 1120 | 2.5553 |
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+ | 2.5351 | 2.0 | 2241 | 2.3913 |
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+ | 2.3732 | 3.0 | 3362 | 2.3113 |
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+ | 2.2808 | 4.0 | 4483 | 2.2630 |
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+ | 2.191 | 5.0 | 5604 | 2.2263 |
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+ | 2.1224 | 6.0 | 6725 | 2.2071 |
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+ | 2.0825 | 7.0 | 7846 | 2.1917 |
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+ | 2.0464 | 8.0 | 8967 | 2.1824 |
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+ | 2.027 | 9.0 | 10087 | 2.1775 |
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+ | 2.0087 | 9.99 | 11200 | 2.1734 |
 
 
 
 
 
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  ### Framework versions
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