--- library_name: peft license: apache-2.0 base_model: ibm-granite/granite-20b-code-instruct-8k tags: - base_model:adapter:ibm-granite/granite-20b-code-instruct-8k - lora - transformers pipeline_tag: text-generation model-index: - name: granite-20b-code-securecode results: [] --- # granite-20b-code-securecode This model is a fine-tuned version of [ibm-granite/granite-20b-code-instruct-8k](https://huggingface.co/ibm-granite/granite-20b-code-instruct-8k) on the None 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: 16 - total_train_batch_size: 16 - optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 100 - num_epochs: 3 ### Training results ### Framework versions - PEFT 0.18.1 - Transformers 5.1.0 - Pytorch 2.7.1+cu128 - Datasets 2.21.0 - Tokenizers 0.22.2