ahmadAlrabghi/al_tadmoreyyah_model

This model is a fine-tuned version of aubmindlab/aragpt2-large on an altadmoriyyah dataset.

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: 0.0002
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 40
• num_epochs: 15

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1

This project serves as an experimental step in building models aimed at preserving Arab-Islamic heritage using artificial intelligence. The fine-tuning of the AraGPT2-large model on the text "Al-Tadmuriyah" by Shaykh al-Islam Ibn Taymiyyah represents the beginning of exploring how language models can enhance our understanding and appreciation of classical texts.

Insha'Allah, I will continue working on other projects in this domain to further contribute to this field

you can fine more details about this model in this github repo: https://github.com/AhmadAlmustadi/al_tadmreyyah_model