asm2asm-deepseek1.3b-xtokenizer-armv8

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asm2asm-deepseek-1.3b-500k-mac-x86-O0-arm-gnueabi-gcc

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-instruct on an unknown 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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu118
• Datasets 3.0.0
• Tokenizers 0.19.1

Please see paper & code for more information:

• https://github.com/ahmedheakl/asm2asm
• https://arxiv.org/abs/2411.16341

Citations

If you use this model in your research, please cite it as follows:

@article{heakl2024cisc,
  title={From CISC to RISC: language-model guided assembly transpilation},
  author={Heakl, Ahmed and Abi, Chaimaa and Hossam, Rania and Mahmoud, Abdulrahman},
  journal={arXiv preprint arXiv:2411.16341},
  year={2024}
}