--- license: apache-2.0 base_model: DatPySci/pythia-1b-self-kto-iter0 tags: - alignment-handbook - generated_from_trainer datasets: - generated/iter1 model-index: - name: pythia-1b-self-kto-iter1 results: [] --- # pythia-1b-self-kto-iter1 This model is a fine-tuned version of [DatPySci/pythia-1b-self-kto-iter0](https://huggingface.co/DatPySci/pythia-1b-self-kto-iter0) on the generated/iter1 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-07 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - distributed_type: multi-GPU - gradient_accumulation_steps: 16 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1 ### Framework versions - Transformers 4.36.2 - Pytorch 2.1.1+cu121 - Datasets 2.14.6 - Tokenizers 0.15.0