Each iteration uses the specified batch size, so your calculation should be correct.


The accuracy improvement in the first iteration seems to come close to 26% in the first steps or are you referring to a later epoch? If you don’t see much improvement, I would suggest to stop the training.


This might be the case. FastAI uses a lot of utility functions and good practices to achieve really good results in less training time. I’m not sure which higher-level library has implemented the lr finder.


I would recommend to take a look at some FastAI lectures, as @jphoward explains a lot of techniques to properly fine tune a model. Also, you could use a Kaggle competition to try our some techniques and learn from others during the competition.