--- base_model: unsloth/llama-3-8b-bnb-4bit library_name: peft license: llama3 tags: - trl - sft - unsloth - generated_from_trainer model-index: - name: ContractGenerationFT_Original_LLama3.1-8Bunsloth results: [] --- # ContractGenerationFT_Original_LLama3.1-8Bunsloth This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7418 ## 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: 2 - eval_batch_size: 8 - seed: 3407 - gradient_accumulation_steps: 4 - total_train_batch_size: 8 - optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 5 - training_steps: 20000 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:-----:|:---------------:| | 0.7415 | 0.1077 | 20000 | 0.7418 | ### Framework versions - PEFT 0.12.0 - Transformers 4.46.0 - Pytorch 2.4.0+cu121 - Datasets 2.21.0 - Tokenizers 0.20.1