Python code completion PyTorch pipeline — 7 Steps

Train a causal code completion language model on Python function signatures and docstrings in PyTorch: causal sequence masking, multi-layer GRU/Transformer, and token-level cross-entropy loss.

1. 01 Data ingestion & EDA
2. 02 Preprocessing without leakage
3. 03 TensorDataset & DataLoader
4. 04 nn.Module architecture
5. 05 Loss function & optimizer
6. 06 Training loop & backprop
7. 07 Eval, metrics & checkpoint