minor parameter changes
This commit is contained in:
+3
-3
@@ -34,13 +34,13 @@ val_size = len(dataset) - train_size
|
||||
|
||||
train_dataset, val_dataset = random_split(dataset, [train_size, val_size])
|
||||
|
||||
train_loader = DataLoader(train_dataset, batch_size=8, shuffle=True)
|
||||
val_loader = DataLoader(val_dataset, batch_size=8, shuffle=False)
|
||||
train_loader = DataLoader(train_dataset, batch_size=4, shuffle=True)
|
||||
val_loader = DataLoader(val_dataset, batch_size=4, shuffle=False)
|
||||
|
||||
device = torch.device("cpu") if not torch.cuda.is_available() else torch.device("cuda:0")
|
||||
print("Using device", device)
|
||||
|
||||
model = Bird_CNN(c_in=3, c_hidden=32, c_out=7)
|
||||
model = Bird_CNN(c_in=3, c_hidden=64, c_out=7)
|
||||
model.to(device)
|
||||
optimizer = torch.optim.Adam(model.parameters(), lr=1e-3, weight_decay=1e-4)
|
||||
loss_module = nn.CrossEntropyLoss()
|
||||
|
||||
Reference in New Issue
Block a user