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---
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: 0.5466
- Blue: 46.2134
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6811 | 1.0 | 8695 | 0.5466 | 46.2134 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1
|