| """Logging utilities for training metrics.""" | |
| import csv | |
| import os | |
| def save_eval_to_csv(exp_name: str, mod_name: str, global_step: int, eval_stats: dict, | |
| eval_dir: str | None = None): | |
| """Append evaluation results to CSV file.""" | |
| if eval_dir is None: | |
| eval_dir = os.path.join("experiments", os.environ.get("RAE_USER", "jas"), "evals", "stage1") | |
| os.makedirs(eval_dir, exist_ok=True) | |
| csv_path = os.path.join(eval_dir, f"{exp_name}_{mod_name}.csv") | |
| file_exists = os.path.exists(csv_path) | |
| with open(csv_path, 'a', newline='') as f: | |
| fieldnames = ['step'] + list(eval_stats.keys()) | |
| writer = csv.DictWriter(f, fieldnames=fieldnames) | |
| if not file_exists: | |
| writer.writeheader() | |
| row = {'step': global_step, **eval_stats} | |
| writer.writerow(row) | |
| __all__ = ["save_eval_to_csv"] | |