---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ar
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-ar-finetuned-en-to-ar
  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-en-ar-finetuned-en-to-ar

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6900
- Bleu: 16.0561
- Gen Len: 17.5458

## 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: 30

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.7613        | 1.0   | 2381  | 2.3308          | 15.763  | 21.341  |
| 1.6561        | 2.0   | 4762  | 2.3460          | 15.8584 | 18.3615 |
| 1.5261        | 3.0   | 7143  | 2.3583          | 15.9146 | 18.3606 |
| 1.4501        | 4.0   | 9524  | 2.3798          | 16.1441 | 17.475  |
| 1.3497        | 5.0   | 11905 | 2.4023          | 16.2252 | 17.4995 |
| 1.4105        | 6.0   | 14286 | 2.3787          | 16.0959 | 17.9816 |
| 1.3328        | 7.0   | 16667 | 2.3917          | 16.1331 | 17.6262 |
| 1.2937        | 8.0   | 19048 | 2.4080          | 16.3078 | 17.4534 |
| 1.2121        | 9.0   | 21429 | 2.4251          | 16.2201 | 17.6992 |
| 1.1539        | 10.0  | 23810 | 2.4435          | 16.3003 | 17.5033 |
| 1.1082        | 11.0  | 26191 | 2.4623          | 16.1261 | 17.5324 |
| 1.0687        | 12.0  | 28572 | 2.4776          | 16.2769 | 17.4889 |
| 1.0148        | 13.0  | 30953 | 2.5003          | 16.2253 | 17.482  |
| 0.9665        | 14.0  | 33334 | 2.5121          | 15.9708 | 17.7131 |
| 0.9399        | 15.0  | 35715 | 2.5320          | 16.1663 | 17.552  |
| 0.9002        | 16.0  | 38096 | 2.5455          | 16.0954 | 17.4487 |
| 0.8696        | 17.0  | 40477 | 2.5698          | 16.1255 | 17.4858 |
| 0.8382        | 18.0  | 42858 | 2.5831          | 16.0722 | 17.3738 |
| 0.8133        | 19.0  | 45239 | 2.6000          | 15.9531 | 17.6652 |
| 0.7738        | 20.0  | 47620 | 2.6132          | 16.077  | 17.5936 |
| 0.7624        | 21.0  | 50001 | 2.6288          | 16.0965 | 17.5484 |
| 0.7395        | 22.0  | 52382 | 2.6402          | 16.044  | 17.5031 |
| 0.7106        | 23.0  | 54763 | 2.6560          | 15.8598 | 17.5839 |
| 0.7001        | 24.0  | 57144 | 2.6605          | 15.9754 | 17.5711 |
| 0.6812        | 25.0  | 59525 | 2.6685          | 15.9742 | 17.526  |
| 0.6665        | 26.0  | 61906 | 2.6781          | 16.0116 | 17.4887 |
| 0.6594        | 27.0  | 64287 | 2.6834          | 15.9705 | 17.5014 |
| 0.6513        | 28.0  | 66668 | 2.6870          | 15.9401 | 17.5768 |
| 0.6329        | 29.0  | 69049 | 2.6893          | 16.0272 | 17.5373 |
| 0.6266        | 30.0  | 71430 | 2.6900          | 16.0561 | 17.5458 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.14.1