--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: upstage/SOLAR-10.7B-v1.0 model-index: - name: outputs results: [] datasets: - sr5434/CodegebraGPT_data --- # outputs This model is a fine-tuned version of [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0) on the text only 100k samples subset of ```sr5434/CodegebraGPT_Data``` dataset. ## Model description It can chat with you about science, engineering, math, or coding. ## Intended uses & limitations This is not finetuned with RLHF and is not intended to be used in production. ## Training and evaluation data [CodegebraGPT 100k text dataset](https://huggingface.co/datasets/sr5434/CodegebraGPT_data/viewer/100k-text) ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0002 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Framework versions - PEFT 0.7.2.dev0 - Transformers 4.36.2 - Pytorch 2.0.1 - Datasets 2.16.0 - Tokenizers 0.15.0