--- base_model: meta-llama/Meta-Llama-3.1-8B-Instruct library_name: peft license: llama3.1 tags: - trl - sft - generated_from_trainer model-index: - name: outputs_causal_lm results: [] --- # outputs_causal_lm This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./meta-llama/Meta-Llama-3.1-8B-Instruct) 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: 5e-05 - train_batch_size: 2 - eval_batch_size: 8 - seed: 3407 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 50 - num_epochs: 3 ### Training results ### Framework versions - PEFT 0.11.1 - Transformers 4.44.0 - Pytorch 2.3.1+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1