---
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_synthetic-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_synthetic-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: 0.8682
- Bleu: 63.4498
- Gen Len: 59.457

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.9549        | 1.0   | 1105  | 1.2644          | 43.0637 | 61.33   |
| 0.7674        | 2.0   | 2210  | 1.0862          | 51.6055 | 60.714  |
| 0.6736        | 3.0   | 3315  | 0.9910          | 56.1642 | 60.434  |
| 0.6011        | 4.0   | 4420  | 0.9463          | 59.6059 | 59.682  |
| 0.5543        | 5.0   | 5525  | 0.9158          | 61.101  | 59.493  |
| 0.5176        | 6.0   | 6630  | 0.8961          | 61.9065 | 59.468  |
| 0.4849        | 7.0   | 7735  | 0.8840          | 62.6833 | 59.5    |
| 0.4692        | 8.0   | 8840  | 0.8727          | 63.0766 | 59.425  |
| 0.464         | 9.0   | 9945  | 0.8709          | 63.3354 | 59.454  |
| 0.4486        | 10.0  | 11050 | 0.8682          | 63.4498 | 59.457  |


### Framework versions

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