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develop #4

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Fabel merged 103 commits from develop into main 2025-03-01 21:47:17 +00:00
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src/aiunn/finetune.py
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@ -41,7 +41,7 @@ class UpscaleDataset(Dataset):
combined_df = pd.DataFrame() combined_df = pd.DataFrame()
for parquet_file in parquet_files: for parquet_file in parquet_files:
# Load a subset (head(2500)) from each parquet file # Load a subset (head(2500)) from each parquet file
df = pd.read_parquet(parquet_file, columns=['image_512', 'image_1024']).head(1250) df = pd.read_parquet(parquet_file, columns=['image_512', 'image_1024']).head(2500)
combined_df = pd.concat([combined_df, df], ignore_index=True) combined_df = pd.concat([combined_df, df], ignore_index=True)
# Validate rows (ensuring each value is bytes or str) # Validate rows (ensuring each value is bytes or str)
@ -128,7 +128,7 @@ dataset = UpscaleDataset([
"/root/training_data/vision-dataset/image_upscaler.parquet", "/root/training_data/vision-dataset/image_upscaler.parquet",
"/root/training_data/vision-dataset/image_vec_upscaler.parquet" "/root/training_data/vision-dataset/image_vec_upscaler.parquet"
], transform=transform) ], transform=transform)
data_loader = DataLoader(dataset, batch_size=2, shuffle=True) # Consider adjusting num_workers if needed. data_loader = DataLoader(dataset, batch_size=1, shuffle=True) # Consider adjusting num_workers if needed.
# Define loss function and optimizer. # Define loss function and optimizer.
criterion = nn.MSELoss() criterion = nn.MSELoss()