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src/aiunn/finetune.py
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@ -94,7 +94,7 @@ from torch.utils.data import DataLoader
# Create your dataset and dataloader # Create your dataset and dataloader
dataset = UpscaleDataset(["/root/training_data/vision-dataset/image_upscaler.parquet", "/root/training_data/vision-dataset/image_vec_upscaler.parquet"], transform=transform) dataset = UpscaleDataset(["/root/training_data/vision-dataset/image_upscaler.parquet", "/root/training_data/vision-dataset/image_vec_upscaler.parquet"], transform=transform)
data_loader = DataLoader(dataset, batch_size=2, shuffle=True) data_loader = DataLoader(dataset, batch_size=1, shuffle=True)
# Define a loss function and optimizer # Define a loss function and optimizer
criterion = nn.MSELoss() criterion = nn.MSELoss()