Table A.1.
Hyperparameter settings for each grid search.
| Classification set-up | Batch size | Number of blocks | Learning rate | Weight decay |
|---|---|---|---|---|
| One-stage | 128, 256 | 2, 4, 7 | 1e-4, 1e-5 | 0.05, 0.005 |
| Two-stage step 1 | 64, 128 | 2, 7 | 1e-4, 1e-5 | 0.5, 0.05 |
| Two-stage step 2 | 32, 128 | 2, 4, 7 | 1e-4, 1e-5 | 0.5, 0.05, 0.005 |
Notes. The final grid search is performed over the batch size, learning rate, weight decay, and the number of blocks that the optimiser will consider to update. For each grid search, only a subset of the complete catalogue at low redshifts is considered. We have a total of three grid searches, one for the model in the one-stage classification set-up and two for the models used in the two-stage classification set-up.
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