---
base_model: facebook/mbart-large-50
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: fine-tune-mBart-ar-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. -->

# fine-tune-mBart-ar-en

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3951

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Step	| Training Loss	| Validation Loss |	Bleu |
|:------|--------------:|:---------------:|:----:|
| 1000	2.189400	2.368187	10.742858
| 2000	1.745500	2.349487	12.255348
| 3000	1.389300	2.395577	11.255426

### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0