Cian-H/symbolic_nn_tests
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Made model smaller to avoid overfitting

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Cian Hughes
2024-06-07 16:09:51 +01:00
parent c7133a8bb1
commit 08fe32302c
1 changed files with 3 additions and 11 deletions
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14
symbolic_nn_tests/experiment2/model.py
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@@ -14,15 +14,7 @@ class Model(nn.Module):
self.encode_x0 = self.create_xval_encoding_fn(self.x0_encoder)
self.encode_x1 = self.create_xval_encoding_fn(self.x1_encoder)
self.ff = nn.Sequential(
nn.Linear(17, 512),
nn.ReLU(),
nn.Linear(512, 256),
nn.ReLU(),
nn.Linear(256, 128),
nn.ReLU(),
nn.Linear(128, 64),
nn.ReLU(),
nn.Linear(64, 32),
nn.Linear(17, 32),
nn.ReLU(),
nn.Linear(32, 16),
nn.ReLU(),
@@ -86,8 +78,8 @@ def main(
lmodel = TrainingWrapper(
Model(),
train_loss=train_loss,
val_loss=train_loss,
test_loss=train_loss,
val_loss=val_loss,
test_loss=test_loss,
)
lmodel.configure_optimizers(optimizer=torch.optim.NAdam, **kwargs)
trainer = L.Trainer(max_epochs=10, logger=logger)