deberta-billy is trained locally by @hqfang primarily using @radek1's notebook.

deberta-lora-lindsey is trained locally by @lindseywei using the LoRA technique.

deberta-openbook-eric-088 comes from @yuekaixueirc's dataset.

deberta-openbook-eric-0897 comes from @yuekaixueirc's dataset.

deberta-openbook-eric-0916 comes from @yuekaixueirc's dataset.

54k_with_context_v1.csv was created by dropping duplicates @cdeotte's 60k training data all_12_with_context2.csv in this dataset.

54k.csv was created by dropping the context column from the 54k_with_context_v1.csv.

val_with_context_v1.csv was created by adding a context column to @itsuki9180's validation dataset.

This dataset is a combination of Stanford's Alpaca (https://github.com/tatsu-lab/stanford_alpaca) and FiQA (https://sites.google.com/view/fiqa/) with another 1.3k pairs custom generated using GPT3.5 Script for tuning through Kaggle's (https://www.kaggle.com) free resources using PEFT/LoRa: https://www.kaggle.com/code/gbhacker23/wealth-alpaca-lora GitHub repo with performance analyses, training and data generation scripts, and inference notebooks: https://github.com/gaurangbharti1/wealth-alpaca… See the full description on the dataset page: https://huggingface.co/datasets/csujeong/financial_data.