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@kjappelbaum I was trying to think of the best way to benchmark moftransformer. It's pretrained on some tasks, is it a requirement to ensure that pretraining was not performed on leadboard test MOFs? Even in the case where leadboard tasks are very different to the pretraining tasks?
The reason I didn't do it so far is (indeed) that I think one needs to be a bit more careful with hyperparameter optimization and pertaining.
At least the hyperparameter optimization should happen within the cross-validation loop of the benchmark.
De-duplicating the pre-training dataset would be nice, but it is probably not as relevant as being careful with the hyperopt
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