---
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_backMT_cleaned-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_backMT_cleaned-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: 1.1873
- Bleu: 54.6502
- Gen Len: 34.938

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.5555        | 1.0   | 1035  | 1.3848          | 45.7987 | 36.194  |
| 1.2715        | 2.0   | 2070  | 1.2807          | 49.7556 | 35.83   |
| 1.1156        | 3.0   | 3105  | 1.2299          | 51.7879 | 35.469  |
| 1.0079        | 4.0   | 4140  | 1.2140          | 52.4265 | 35.021  |
| 0.9166        | 5.0   | 5175  | 1.1957          | 53.4598 | 35.017  |
| 0.859         | 6.0   | 6210  | 1.1920          | 54.1821 | 35.077  |
| 0.8268        | 7.0   | 7245  | 1.1891          | 54.419  | 35.022  |
| 0.7777        | 8.0   | 8280  | 1.1863          | 54.4714 | 34.907  |
| 0.7522        | 9.0   | 9315  | 1.1867          | 54.537  | 34.906  |
| 0.7441        | 10.0  | 10350 | 1.1873          | 54.6502 | 34.938  |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3