README.md

metadata

base_model: HamzaNaser/Dialects-to-MSA-Transformer
library_name: transformers
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: Dialects-to-MSA-Transformer
    results: []

Dialects-to-MSA-Transformer

This model is a fine-tuned version of HamzaNaser/Dialects-to-MSA-Transformer on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5272
• Blue: 46.0583

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
0.5801	1.0	8695	0.5272	46.0583

Framework versions

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