Add bigger WGAN config (hidden_dim=512, n_blocks=6)
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Scaled-up variant of the already-trained wgan_h128_b4_physical.toml
benchmark config, same training recipe (mode/epochs/lr/warmup),
increased model capacity.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
This commit is contained in:
2026-07-30 17:08:46 +02:00
parent 22fdca7697
commit a4c0443e01
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[train]
mode = "wgan"
epochs = 30
lr = 3e-4
warmup_epochs = 3
val_fraction = 0.1
num_workers = 4
[model]
hidden_dim = 512
n_blocks = 6
dropout = 0.0
conditioning = "physical"