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| # Kauldron Configurations for SFT Training | |
| This directory contains the Kauldron configuration files defining the models, | |
| datasets, training losses, optimizers, schedules, and evaluators for SFT | |
| training. | |
| The configurations are flat, self-contained files defining the end-to-end | |
| setup (model, dataset, training losses, optimizer, schedule, and evaluators) | |
| for each task. | |
| ## Configuration Files | |
| * **`sft_sudoku.py`** (Sudoku): | |
| * Configures SFT training with LoRA on the sudoku dataset. | |
| * **`sft_sudoku_full.py`** (Sudoku): | |
| * Configures full weight SFT training on the sudoku dataset. | |
| * **`sft_pubmedqa.py`** (PubMedQA): | |
| * Configures Parameter-Efficient SFT training using LoRA on PubMedQA. | |