---
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: 2.1734

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.8321        | 1.0   | 1120  | 2.5553          |
| 2.5351        | 2.0   | 2241  | 2.3913          |
| 2.3732        | 3.0   | 3362  | 2.3113          |
| 2.2808        | 4.0   | 4483  | 2.2630          |
| 2.191         | 5.0   | 5604  | 2.2263          |
| 2.1224        | 6.0   | 6725  | 2.2071          |
| 2.0825        | 7.0   | 7846  | 2.1917          |
| 2.0464        | 8.0   | 8967  | 2.1824          |
| 2.027         | 9.0   | 10087 | 2.1775          |
| 2.0087        | 9.99  | 11200 | 2.1734          |


### Framework versions

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