--- library_name: peft license: other base_model: deepseek-ai/deepseek-coder-6.7b-base tags: - llama-factory - lora - generated_from_trainer model-index: - name: solidity_lora_finetuned results: [] --- # solidity_lora_finetuned This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) on the solidity_contract 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: 5e-05 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 3 - gradient_accumulation_steps: 2 - total_train_batch_size: 96 - total_eval_batch_size: 24 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - num_epochs: 2.0 ### Training results ### Framework versions - PEFT 0.12.0 - Transformers 4.46.1 - Pytorch 2.6.0+cu124 - Datasets 3.1.0 - Tokenizers 0.20.3