---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ar-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: working
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/boghdady95/huggingface/runs/oy10h8oj)
# working

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2987
- Bleu: 31.8518
- Gen Len: 34.0136

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 312  | 0.3560          | 25.127  | 33.2927 |
| 0.6275        | 2.0   | 624  | 0.3309          | 27.7903 | 34.3769 |
| 0.6275        | 3.0   | 936  | 0.3176          | 28.8587 | 33.1307 |
| 0.2524        | 4.0   | 1248 | 0.3098          | 29.8775 | 33.5782 |
| 0.219         | 5.0   | 1560 | 0.3057          | 30.629  | 33.6736 |
| 0.219         | 6.0   | 1872 | 0.3026          | 31.2601 | 33.854  |
| 0.2029        | 7.0   | 2184 | 0.3007          | 31.6296 | 33.9687 |
| 0.2029        | 8.0   | 2496 | 0.2997          | 31.6706 | 33.6327 |
| 0.1895        | 9.0   | 2808 | 0.2989          | 31.5995 | 33.9904 |
| 0.182         | 10.0  | 3120 | 0.2987          | 31.8518 | 34.0136 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1