lars
a4c0443e01
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>
14 lines
217 B
TOML
14 lines
217 B
TOML
[train]
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mode = "wgan"
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epochs = 30
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lr = 3e-4
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warmup_epochs = 3
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val_fraction = 0.1
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num_workers = 4
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[model]
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hidden_dim = 512
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n_blocks = 6
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dropout = 0.0
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conditioning = "physical"
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