The author is evaluating the performance of fine-tuned language models in converting press release texts into structured data. They aim to measure accuracy, handling of out-of-domain data, gradations of vague terms, spelling variations, and complex stories. The author emphasizes the importance of detailed evaluations due to potential serious consequences of inaccuracies. They reference previous work by Hamel Husain on AI product evaluations and plan to implement similar strategies. The author plans to code the evaluation criteria for testing their fine-tuned models and API-driven proprietary models in the near future. This highlights the author’s thorough and meticulous approach to model evaluation.
https://mlops.systems/posts/2024-06-25-evaluation-finetuning-manual-dataset.html