--- license: other library_name: peft tags: - trl - sft - generated_from_trainer datasets: - generator base_model: Gryphe/MythoMax-L2-13b model-index: - name: mythomax-13b-sft-lora results: [] --- # mythomax-13b-sft-lora This model is a fine-tuned version of [Gryphe/MythoMax-L2-13b](https://huggingface.co/Gryphe/MythoMax-L2-13b) on the generator dataset. It achieves the following results on the evaluation set: - Loss: 1.5062 ## 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: 4 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - gradient_accumulation_steps: 128 - total_train_batch_size: 512 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.5495 | 0.99 | 11 | 1.5062 | ### Framework versions - PEFT 0.7.1 - Transformers 4.36.2 - Pytorch 2.1.0 - Datasets 2.14.6 - Tokenizers 0.15.0