---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ar
tags:
- generated_from_trainer
model-index:
- name: masrawy-english-arabic-translator-clauda-opus-v1
  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-clauda-opus-v1

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: 2.0078

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.7664        | 1.0   | 2234  | 2.5507          |
| 2.489         | 2.0   | 4468  | 2.3811          |
| 2.353         | 3.0   | 6702  | 2.2984          |
| 2.2309        | 4.0   | 8936  | 2.2492          |
| 2.1537        | 5.0   | 11170 | 2.0289          |
| 2.0825        | 6.0   | 13404 | 2.0217          |
| 2.0479        | 7.0   | 15638 | 2.0163          |
| 1.9948        | 8.0   | 17872 | 2.0128          |
| 1.9858        | 9.0   | 20106 | 2.0094          |
| 1.9751        | 10.0  | 22340 | 2.0078          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1