LMM fine tuning how to improve training for Question and Answer task?
Considering LMM fine tuning how to aproach when we think about data structure? Should i train with:1)abrastract + question + answer2)question + answer3)abstract + question + answer added with question + answerHow to evaluate? Using perplexity? Bert Score? Any other metric?What about the number of epochs considering the number of train entries? The effective batch size?