--- base_model: meta-llama/Meta-Llama-3-8B library_name: peft license: llama3 tags: - trl - sft - generated_from_trainer model-index: - name: Meta-Llama-3-8B-Notechat-32r-0.1train-dataset results: [] --- [Visualize in Weights & Biases](https://wandb.ai/fine-tuning-large-language-model/huggingface/runs/5yud0c48) # Meta-Llama-3-8B-Notechat-32r-0.1train-dataset This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) 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: 2e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant - lr_scheduler_warmup_ratio: 0.03 - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.11.1 - Transformers 4.42.3 - Pytorch 2.1.2 - Datasets 2.20.0 - Tokenizers 0.19.1