---
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_1-ar-to-en
  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. -->

# opus-mt-ar-en-finetuned_augmented_synthetic_1-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: 0.6310
- Bleu: 66.0531
- Gen Len: 62.7622

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.9624        | 1.0   | 1043  | 0.7904          | 57.9585 | 65.1449 |
| 0.7619        | 2.0   | 2086  | 0.7172          | 61.4081 | 64.038  |
| 0.674         | 3.0   | 3129  | 0.6844          | 63.0849 | 63.1159 |
| 0.6086        | 4.0   | 4172  | 0.6626          | 64.6547 | 62.3736 |
| 0.5705        | 5.0   | 5215  | 0.6523          | 65.1199 | 62.7662 |
| 0.5317        | 6.0   | 6258  | 0.6415          | 65.6392 | 62.7802 |
| 0.4943        | 7.0   | 7301  | 0.6367          | 65.4163 | 62.5654 |
| 0.4828        | 8.0   | 8344  | 0.6340          | 65.4508 | 62.3506 |
| 0.4579        | 9.0   | 9387  | 0.6317          | 65.8711 | 62.6513 |
| 0.4577        | 10.0  | 10430 | 0.6310          | 66.0531 | 62.7622 |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3