good first issue
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- (30d に merged PR はありません)
説明
Summary
Add a unit test to run the trainer with a very small config using a tiny model, ensuring that model loading, dataset preprocessing, and trainer setup succeed.
Acceptance Criteria
- A new test file
tests/test_trainer_small_config.pythat:- Uses
sshleifer/tiny-gpt2 - Builds a minimal JSON config
- Calls
CodeExplainerTrainer.load_model(),load_dataset(None),preprocess_dataset(), andsetup_trainer()
- Uses
- Test should run quickly (< 60s) and not perform full training.
References
- Existing tests in
tests/test_trainer.py - Tiny models used in CI