--- 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-500k-4ep-x86-O0-arm-gnueabi-gcc results: [] --- # asm2asm-deepseek-1.3b-500k-4ep-x86-O0-arm-gnueabi-gcc This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-instruct](https://huggingface.co/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 4.45.2 - Pytorch 2.4.0 - Datasets 3.0.1 - Tokenizers 0.20.1