What did I do today
- Found wrong photos (labelled wrong from the first place) -> revised and distributed so that the teammates could use
- Found out that the model was transforming not only the train data, but also the validation data in ways that it was intended to make the inference harder. Changed this.
- Ran several models
- AdamW vs SGD -> similar result, AdamW faster
- mutliplicative LR scheduler vs CosineAnnealingLR scheduler -> cosine much better
- simpler transformation vs compound transformation -> couldn’t tell because of the problem mentioned above
Reflections