--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 22124994 num_examples: 67349 - name: validation num_bytes: 332100 num_examples: 872 download_size: 88794 dataset_size: 22457094 --- # Dataset Card for "llama2-sst2-finetuning" ## Dataset Description The Llama2-sst2-fine-tuning dataset is designed for supervised fine-tuning of the LLaMA V2 based on the GLUE SST2 for sentiment analysis classification task. We provide two subsets: training and validation. To ensure the effectiveness of fine-tuning, we convert the data into the prompt template for LLaMA V2 supervised fine-tuning, where the data will follow this format: ``` [INST] <> {System prompt} <> {User prompt} [/INST] {Label} . ``` The feasibility of this dataset has been tested in supervised fine-tuning on the meta-llama/Llama-2-7b-hf model. Note. For the sake of simplicity, we have retained only one new column of data ('text'). ## Other Useful Links - [Get Llama 2 Prompt Format Right](https://www.reddit.com/r/LocalLLaMA/comments/155po2p/get_llama_2_prompt_format_right/) - [Fine-Tune Your Own Llama 2 Model in a Colab Notebook](https://towardsdatascience.com/fine-tune-your-own-llama-2-model-in-a-colab-notebook-df9823a04a32) - [Instruction fine-tuning Llama 2 with PEFT’s QLoRa method](https://medium.com/@ud.chandra/instruction-fine-tuning-llama-2-with-pefts-qlora-method-d6a801ebb19) - [GLUE SST2 Dataset](https://www.tensorflow.org/datasets/catalog/glue#gluesst2)