tensorboard safetensors marian generated_from_trainer egyptian translation ar en dataset:oddadmix/english-arabic-translations base_model:Helsinki-NLP/opus-mt-en-ar base_model:finetune:Helsinki-NLP/opus-mt-en-ar license:apache-2.0 region:us
---
base_model: Helsinki-NLP/opus-mt-en-ar
datasets:
- oddadmix/english-arabic-translations
language:
- ar
- en
license: apache-2.0
pipeline_tag: translation
tags:
- generated_from_trainer
- egyptian
model-index:
- name: masrawy-english-arabic-translator
  results: []
---

<!-- 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