---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ar-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ar-en-finetuned_augmented_MTback-ar-to-en
  results: []
pipeline_tag: translation
---

<!-- 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. -->

# opus-mt-ar-en-finetuned_augmented_MTback-ar-to-en

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: 0.8227
- Bleu: 66.3415
- Gen Len: 59.569

## 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.3965        | 1.0   | 1098  | 1.1276          | 52.6355 | 62.191  |
| 2.0086        | 2.0   | 2196  | 0.9785          | 58.7217 | 61.399  |
| 1.7825        | 3.0   | 3294  | 0.9172          | 61.1046 | 61.316  |
| 1.6434        | 4.0   | 4392  | 0.8788          | 63.501  | 60.232  |
| 1.5295        | 5.0   | 5490  | 0.8571          | 64.7425 | 59.709  |
| 1.4316        | 6.0   | 6588  | 0.8419          | 65.7013 | 59.381  |
| 1.3766        | 7.0   | 7686  | 0.8315          | 65.9805 | 59.585  |
| 1.3241        | 8.0   | 8784  | 0.8254          | 66.2432 | 59.516  |
| 1.2965        | 9.0   | 9882  | 0.8238          | 66.2241 | 59.604  |
| 1.2877        | 10.0  | 10980 | 0.8227          | 66.3415 | 59.569  |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3