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Following findings with experiments with three checkpoints of different FM sizes on Camelyon16 + Panda:
AdamW converges, SGD does not
LR=1e-3 ideal (lower doesn't reach optimal performance, takes much longer to run)
Number of steps 12,500: works well for large dataset (Panda 10k slides), is too many for small datasets (Camelyon 400 slides) -> cap for max n epochs necessary
Patience 10% is sufficient, min of 8 epochs needed
Batch size: 32 works as well or better than 16, 64 and bettern than >= 128
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