--- library_name: peft license: llama3.1 base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit tags: - trl - sft - unsloth - generated_from_trainer model-index: - name: meta-llama-Meta-Llama-3.1-8B-Instruct_SFT_D90095 results: [] --- # meta-llama-Meta-Llama-3.1-8B-Instruct_SFT_D90095 This model is a fine-tuned version of [unsloth/meta-llama-3.1-8b-instruct-bnb-4bit](https://huggingface.co/unsloth/meta-llama-3.1-8b-instruct-bnb-4bit) 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: 2e-06 - train_batch_size: 4 - eval_batch_size: 8 - seed: 7331 - optimizer: Use sgd and the args are: No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.03 - lr_scheduler_warmup_steps: 5 - num_epochs: 1 ### Training results ### Framework versions - PEFT 0.12.0 - Transformers 4.47.0 - Pytorch 2.4.0+cu121 - Datasets 2.21.0 - Tokenizers 0.21.0