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

# ar-en-model

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: 0.2988
- Bleu: 31.7475
- Gen Len: 33.5269

## 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  | 0.3562          | 25.2145 | 33.397  |
| 0.6311        | 2.0   | 624  | 0.3311          | 27.4389 | 32.9487 |
| 0.6311        | 3.0   | 936  | 0.3178          | 28.887  | 33.6215 |
| 0.2523        | 4.0   | 1248 | 0.3102          | 29.9143 | 33.648  |
| 0.219         | 5.0   | 1560 | 0.3057          | 30.6256 | 33.4651 |
| 0.219         | 6.0   | 1872 | 0.3028          | 30.9421 | 33.4459 |
| 0.2025        | 7.0   | 2184 | 0.3008          | 31.5297 | 33.8605 |
| 0.2025        | 8.0   | 2496 | 0.2996          | 31.8919 | 33.8492 |
| 0.1895        | 9.0   | 2808 | 0.2989          | 31.7071 | 33.854  |
| 0.182         | 10.0  | 3120 | 0.2988          | 31.7475 | 33.5269 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1