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asm2asm-deepseek-1.3b-100k-x86-O0-4ep-arm-gnueabi-gcc - GGUF
- Model creator: https://huggingface.co/ahmedheakl/
- Original model: https://huggingface.co/ahmedheakl/asm2asm-deepseek-1.3b-100k-x86-O0-4ep-arm-gnueabi-gcc/
Original model description:
library_name: transformers license: other base_model: deepseek-ai/deepseek-coder-1.3b-instruct tags: - trl - sft - generated_from_trainer model-index: - name: asm2asm-deepseek-1.3b-100k-x86-O0-4ep-arm-gnueabi-gcc results: []
asm2asm-deepseek-1.3b-100k-x86-O0-4ep-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
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu118
- Datasets 3.0.0
- Tokenizers 0.19.1
Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more quants, at much higher speed, than I would otherwise be able to.
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