---
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-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-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: 0.8180
- Bleu: 65.6656
- Gen Len: 60.248

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 348  | 1.2239          | 50.582  | 62.155  |
| 1.5859        | 2.0   | 696  | 1.0136          | 56.9789 | 61.275  |
| 1.0284        | 3.0   | 1044 | 0.9322          | 59.8447 | 61.319  |
| 1.0284        | 4.0   | 1392 | 0.8872          | 61.7622 | 61.239  |
| 0.8538        | 5.0   | 1740 | 0.8595          | 63.1303 | 60.754  |
| 0.7418        | 6.0   | 2088 | 0.8434          | 64.0222 | 60.68   |
| 0.7418        | 7.0   | 2436 | 0.8305          | 64.8723 | 60.275  |
| 0.6897        | 8.0   | 2784 | 0.8222          | 65.4715 | 60.265  |
| 0.6394        | 9.0   | 3132 | 0.8189          | 65.5593 | 60.277  |
| 0.6394        | 10.0  | 3480 | 0.8180          | 65.6656 | 60.248  |


### Framework versions

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