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--- |
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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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- egyptian |
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model-index: |
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- name: masrawy-english-arabic-translator |
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results: [] |
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datasets: |
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- oddadmix/english-arabic-translations |
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language: |
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- ar |
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- en |
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pipeline_tag: translation |
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--- |
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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: 2.3696 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 30 |
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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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| 3.2491 | 1.0 | 1198 | 2.9310 | |
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| 2.8555 | 2.0 | 2396 | 2.7350 | |
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| 2.6079 | 3.0 | 3594 | 2.6380 | |
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| 2.5038 | 4.0 | 4792 | 2.5691 | |
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| 2.3559 | 5.0 | 5990 | 2.5271 | |
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| 2.2868 | 6.0 | 7188 | 2.4843 | |
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| 2.1985 | 7.0 | 8386 | 2.4646 | |
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| 2.1517 | 8.0 | 9584 | 2.4430 | |
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| 2.0742 | 9.0 | 10782 | 2.4295 | |
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| 2.0326 | 10.0 | 11980 | 2.4169 | |
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| 1.9601 | 11.0 | 13178 | 2.4055 | |
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| 1.9361 | 12.0 | 14376 | 2.4044 | |
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| 1.9269 | 13.0 | 15574 | 2.3900 | |
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| 1.876 | 14.0 | 16772 | 2.3922 | |
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| 1.8449 | 15.0 | 17970 | 2.3801 | |
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| 1.7911 | 16.0 | 19168 | 2.3793 | |
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| 1.7514 | 17.0 | 20366 | 2.3745 | |
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| 1.7356 | 18.0 | 21564 | 2.3725 | |
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| 1.717 | 19.0 | 22762 | 2.3729 | |
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| 1.7136 | 20.0 | 23960 | 2.3731 | |
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| 1.6919 | 21.0 | 25158 | 2.3699 | |
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| 1.6693 | 22.0 | 26356 | 2.3720 | |
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| 1.6447 | 23.0 | 27554 | 2.3699 | |
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| 1.6159 | 24.0 | 28752 | 2.3684 | |
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| 1.6053 | 25.0 | 29950 | 2.3705 | |
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| 1.6269 | 26.0 | 31148 | 2.3705 | |
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| 1.6141 | 27.0 | 32346 | 2.3712 | |
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| 1.6109 | 28.0 | 33544 | 2.3704 | |
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| 1.6066 | 29.0 | 34742 | 2.3699 | |
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| 1.5936 | 30.0 | 35940 | 2.3696 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.1 |
