--- 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 --- # 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