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---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ar
tags:
- generated_from_trainer
- egyptian
model-index:
- name: masrawy-english-arabic-translator
results: []
datasets:
- oddadmix/english-arabic-translations
language:
- ar
- en
pipeline_tag: translation
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# masrawy-english-arabic-translator
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: 2.3696
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.2491 | 1.0 | 1198 | 2.9310 |
| 2.8555 | 2.0 | 2396 | 2.7350 |
| 2.6079 | 3.0 | 3594 | 2.6380 |
| 2.5038 | 4.0 | 4792 | 2.5691 |
| 2.3559 | 5.0 | 5990 | 2.5271 |
| 2.2868 | 6.0 | 7188 | 2.4843 |
| 2.1985 | 7.0 | 8386 | 2.4646 |
| 2.1517 | 8.0 | 9584 | 2.4430 |
| 2.0742 | 9.0 | 10782 | 2.4295 |
| 2.0326 | 10.0 | 11980 | 2.4169 |
| 1.9601 | 11.0 | 13178 | 2.4055 |
| 1.9361 | 12.0 | 14376 | 2.4044 |
| 1.9269 | 13.0 | 15574 | 2.3900 |
| 1.876 | 14.0 | 16772 | 2.3922 |
| 1.8449 | 15.0 | 17970 | 2.3801 |
| 1.7911 | 16.0 | 19168 | 2.3793 |
| 1.7514 | 17.0 | 20366 | 2.3745 |
| 1.7356 | 18.0 | 21564 | 2.3725 |
| 1.717 | 19.0 | 22762 | 2.3729 |
| 1.7136 | 20.0 | 23960 | 2.3731 |
| 1.6919 | 21.0 | 25158 | 2.3699 |
| 1.6693 | 22.0 | 26356 | 2.3720 |
| 1.6447 | 23.0 | 27554 | 2.3699 |
| 1.6159 | 24.0 | 28752 | 2.3684 |
| 1.6053 | 25.0 | 29950 | 2.3705 |
| 1.6269 | 26.0 | 31148 | 2.3705 |
| 1.6141 | 27.0 | 32346 | 2.3712 |
| 1.6109 | 28.0 | 33544 | 2.3704 |
| 1.6066 | 29.0 | 34742 | 2.3699 |
| 1.5936 | 30.0 | 35940 | 2.3696 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1 |