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feat(model): train on 15 epochs
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from pathlib import Path
from pydantic import BaseSettings
basedir = Path(__file__).parent
class Config(BaseSettings):
data_dir: Path = basedir.parent / "data"
raw_data_dir: Path = data_dir / "raw"
checkpoints_folders = data_dir / "checkpoints"
plots_dir: Path = data_dir / "plots"
batch_size: int = 64
epochs: int = 15
random_seed: int = 42
test_size: float = 0.2
weights_path: Path = data_dir / "models" / "model.torch"
config = Config()