---
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: 1.8534

## 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.8787        | 1.0   | 3529  | 2.7030          |
| 2.6107        | 2.0   | 7058  | 2.5211          |
| 2.4579        | 3.0   | 10587 | 2.4222          |
| 2.3906        | 4.0   | 14116 | 2.3666          |
| 2.2673        | 5.0   | 17645 | 2.3260          |
| 2.2383        | 6.0   | 21174 | 2.2936          |
| 2.1464        | 7.0   | 24703 | 2.2754          |
| 2.1304        | 8.0   | 28232 | 2.2530          |
| 2.0802        | 9.0   | 31761 | 2.2417          |
| 2.048         | 10.0  | 35290 | 2.2341          |
| 2.0323        | 11.0  | 38819 | 2.2255          |
| 2.0012        | 12.0  | 42348 | 2.2233          |
| 1.9905        | 13.0  | 45877 | 2.2193          |
| 1.9648        | 14.0  | 49406 | 2.2162          |
| 1.9716        | 15.0  | 52935 | 1.8534          |


### Framework versions

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