---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: Helsinki-NLP/opus-mt-en-ar
metrics:
- bleu
model-index:
- name: finetuned_helsinki_peft_model__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. -->

# finetuned_helsinki_peft_model__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: 1.7775
- Bleu: 27.1364
- Gen Len: 13.5265

## 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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 3.0607        | 0.2   | 500   | 1.8457          | 26.8804 | 13.4975 |
| 2.7235        | 0.4   | 1000  | 1.8179          | 26.9476 | 13.5825 |
| 2.7011        | 0.6   | 1500  | 1.8063          | 26.8946 | 13.632  |
| 2.641         | 0.8   | 2000  | 1.7996          | 27.0619 | 13.613  |
| 2.7115        | 1.0   | 2500  | 1.7959          | 26.9972 | 13.616  |
| 2.694         | 1.2   | 3000  | 1.7931          | 27.0648 | 13.587  |
| 2.6653        | 1.4   | 3500  | 1.7906          | 27.058  | 13.5555 |
| 2.6602        | 1.6   | 4000  | 1.7882          | 26.9729 | 13.5755 |
| 2.6234        | 1.8   | 4500  | 1.7838          | 27.0022 | 13.566  |
| 2.5851        | 2.0   | 5000  | 1.7827          | 26.9623 | 13.561  |
| 2.5532        | 2.2   | 5500  | 1.7811          | 27.1004 | 13.5305 |
| 2.6314        | 2.4   | 6000  | 1.7800          | 26.9216 | 13.4905 |
| 2.6261        | 2.6   | 6500  | 1.7792          | 26.9747 | 13.52   |
| 2.6228        | 2.8   | 7000  | 1.7787          | 26.9506 | 13.529  |
| 2.7118        | 3.0   | 7500  | 1.7781          | 26.9363 | 13.5615 |
| 2.6205        | 3.2   | 8000  | 1.7777          | 27.0652 | 13.555  |
| 2.5799        | 3.4   | 8500  | 1.7775          | 27.0987 | 13.5325 |
| 2.6044        | 3.6   | 9000  | 1.7776          | 27.1322 | 13.5225 |
| 2.6391        | 3.8   | 9500  | 1.7775          | 27.1541 | 13.5285 |
| 2.6589        | 4.0   | 10000 | 1.7775          | 27.1364 | 13.5265 |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1