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added: trained_model option

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Aliaksei Brown 2023-06-05 01:30:39 +02:00
parent ffe1ff9565
commit 50292376e7
1 changed files with 4 additions and 1 deletions
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5
neural_network/nn.py
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@ -49,6 +49,9 @@ def main():
# Train the model # Train the model
def train_model(model, criterion, optimizer, num_epochs=2): def train_model(model, criterion, optimizer, num_epochs=2):
best_model_wts = None # Initialize the variable
best_acc = 0.0
for epoch in range(num_epochs): for epoch in range(num_epochs):
print(f"Epoch {epoch+1}/{num_epochs}") print(f"Epoch {epoch+1}/{num_epochs}")
print("-" * 10) print("-" * 10)
@ -85,7 +88,7 @@ def main():
print(f"{phase} Loss: {epoch_loss:.4f} Acc: {epoch_acc:.4f}") print(f"{phase} Loss: {epoch_loss:.4f} Acc: {epoch_acc:.4f}")
if phase == "val" and epoch_acc > best_acc: if phase == "validation" and epoch_acc > best_acc:
best_acc = epoch_acc best_acc = epoch_acc
best_model_wts = model.state_dict() best_model_wts = model.state_dict()