--- license: apache-2.0 base_model: EleutherAI/pythia-6.9b tags: - trl - sft - generated_from_trainer datasets: - generator model-index: - name: pythia-ultrachat results: [] --- # pythia-ultrachat This model is a fine-tuned version of [EleutherAI/pythia-6.9b](https://huggingface.co/EleutherAI/pythia-6.9b) on the generator dataset. It achieves the following results on the evaluation set: - Loss: 1.2100 ## 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: 8 - eval_batch_size: 16 - seed: 42 - distributed_type: multi-GPU - num_devices: 16 - total_train_batch_size: 128 - total_eval_batch_size: 256 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 1.0 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.2094 | 1.0 | 1001 | 1.2100 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.0.1+cu117 - Datasets 2.14.5 - Tokenizers 0.15.0