---
base_model: HamzaNaser/Dialects-to-MSA-Transformer
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: Dialects-to-MSA-Transformer
  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. -->

# Dialects-to-MSA-Transformer

This model is a fine-tuned version of [HamzaNaser/Dialects-to-MSA-Transformer](https://huggingface.co/HamzaNaser/Dialects-to-MSA-Transformer) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5231
- Blue: 46.2336

## 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: 4.5e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Blue    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4311        | 1.0   | 8695 | 0.5231          | 46.2336 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1