---
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-en-ar
tags:
- generated_from_trainer
model-index:
- name: masrawy-english-arabic-translator-opus-big-v2.8-only-claude-eval-as-test
  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-opus-big-v2.8-only-claude-eval-as-test

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co./Helsinki-NLP/opus-mt-tc-big-en-ar) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2957

## 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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.8734        | 0.42  | 1000  | 1.4521          |
| 2.6556        | 0.83  | 2000  | 1.3604          |
| 2.4215        | 1.25  | 3000  | 1.3340          |
| 2.3495        | 1.66  | 4000  | 1.3183          |
| 2.286         | 2.08  | 5000  | 1.2976          |
| 2.2252        | 2.49  | 6000  | 1.3011          |
| 2.2082        | 2.91  | 7000  | 1.2886          |
| 2.1385        | 3.32  | 8000  | 1.2888          |
| 2.1219        | 3.74  | 9000  | 1.2897          |
| 2.0474        | 4.15  | 10000 | 1.2898          |
| 2.0166        | 4.57  | 11000 | 1.2898          |
| 2.0185        | 4.98  | 12000 | 1.2850          |
| 1.9523        | 5.4   | 13000 | 1.2834          |
| 1.9215        | 5.81  | 14000 | 1.2840          |
| 1.9375        | 6.23  | 15000 | 1.2893          |
| 1.9386        | 6.64  | 16000 | 1.2846          |
| 1.9254        | 7.06  | 17000 | 1.2953          |
| 1.9059        | 7.48  | 18000 | 1.2982          |
| 1.873         | 7.89  | 19000 | 1.2957          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 3.2.0
- Tokenizers 0.15.1