---
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_cleaned-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_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: 0.6421
- Bleu: 64.9533
- Gen Len: 66.193

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.9547        | 1.0   | 1043  | 0.8017          | 56.8271 | 68.803  |
| 0.7598        | 2.0   | 2086  | 0.7281          | 60.44   | 67.238  |
| 0.672         | 3.0   | 3129  | 0.6984          | 62.5171 | 66.992  |
| 0.6063        | 4.0   | 4172  | 0.6737          | 63.4355 | 66.075  |
| 0.5641        | 5.0   | 5215  | 0.6607          | 64.2124 | 66.145  |
| 0.5188        | 6.0   | 6258  | 0.6537          | 64.5988 | 66.547  |
| 0.4934        | 7.0   | 7301  | 0.6467          | 64.7664 | 66.528  |
| 0.4858        | 8.0   | 8344  | 0.6458          | 64.756  | 66.225  |
| 0.468         | 9.0   | 9387  | 0.6427          | 64.9386 | 66.086  |
| 0.4474        | 10.0  | 10430 | 0.6421          | 64.9533 | 66.193  |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3