---
library_name: peft
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ar
tags:
- generated_from_trainer
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: 1.7705
- Bleu: 26.8378
- Gen Len: 13.5315

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.1194        | 0.2   | 500   | 1.8368          | 26.7617 | 13.59   |
| 1.9481        | 0.4   | 1000  | 1.8082          | 26.9303 | 13.562  |
| 1.9398        | 0.6   | 1500  | 1.7980          | 26.9162 | 13.467  |
| 1.9521        | 0.8   | 2000  | 1.7925          | 26.9365 | 13.5355 |
| 1.9478        | 1.0   | 2500  | 1.7894          | 27.1345 | 13.5425 |
| 1.9272        | 1.2   | 3000  | 1.7871          | 27.4766 | 13.501  |
| 1.8803        | 1.4   | 3500  | 1.7809          | 27.106  | 13.5995 |
| 1.911         | 1.6   | 4000  | 1.7781          | 27.1273 | 13.5465 |
| 1.9052        | 1.8   | 4500  | 1.7756          | 26.9803 | 13.554  |
| 1.9043        | 2.0   | 5000  | 1.7742          | 27.0919 | 13.5305 |
| 1.8904        | 2.2   | 5500  | 1.7742          | 26.9754 | 13.4635 |
| 1.8951        | 2.4   | 6000  | 1.7727          | 26.9621 | 13.529  |
| 1.8741        | 2.6   | 6500  | 1.7727          | 26.991  | 13.4795 |
| 1.9037        | 2.8   | 7000  | 1.7716          | 26.9663 | 13.5065 |
| 1.8931        | 3.0   | 7500  | 1.7716          | 26.8411 | 13.54   |
| 1.925         | 3.2   | 8000  | 1.7707          | 26.8684 | 13.5635 |
| 1.8847        | 3.4   | 8500  | 1.7708          | 26.892  | 13.5185 |
| 1.8693        | 3.6   | 9000  | 1.7706          | 26.8667 | 13.5075 |
| 1.9089        | 3.8   | 9500  | 1.7705          | 26.8321 | 13.5285 |
| 1.8638        | 4.0   | 10000 | 1.7705          | 26.8378 | 13.5315 |


### Framework versions

- PEFT 0.14.1.dev0
- Transformers 4.47.1
- Pytorch 2.5.1+cpu
- Datasets 3.2.0
- Tokenizers 0.21.0