| """Kaggle notebook body: teach the student the whisper voice. |
| |
| Radio v2 showed the split cleanly: teacher 0.22 on the whisper line, student |
| 1.00. a09 was added after training, so the student has never seen it. This run |
| adds 120 trajectories for a09 to the cached six voices and retrains at the same |
| 4000 steps, then evaluates a09 against a08 as an in-distribution control. |
| |
| Trajectories are unpacked from the cache first, so the a09 pass appends to the |
| same directory instead of replacing it. |
| """ |
| import os |
| import subprocess |
| import sys |
| import time |
| import zipfile |
|
|
| from notebook_eval import BUNDLE, MODEL, ROOT, WEIGHTS, pull, stage_deps, stage_repo |
|
|
| BUNDLE_REPO = "idefinity/webfm-eval" |
| TRAJ = ROOT / "train/traj" |
|
|
|
|
| def run(tag: str, extra: dict, gpu: int = 0) -> int: |
| env = dict(os.environ, WORK_ROOT=str(ROOT), **extra) |
| env["CUDA_VISIBLE_DEVICES"] = str(gpu) |
| env["PYTORCH_CUDA_ALLOC_CONF"] = "expandable_segments:True" |
| log = open(ROOT / f"r3_{tag}.log", "w") |
| p = subprocess.Popen([sys.executable, str(BUNDLE / "kaggle/train_voices.py")], |
| env=env, stdout=log, stderr=subprocess.STDOUT, cwd=str(ROOT)) |
| rc = p.wait() |
| print(f"[{tag}] rc={rc}", flush=True) |
| if rc != 0: |
| print((ROOT / f"r3_{tag}.log").read_text()[-2500:]) |
| return rc |
|
|
|
|
| def main() -> None: |
| stage_repo() |
| stage_deps() |
| pull(WEIGHTS, MODEL) |
| pull(BUNDLE_REPO, BUNDLE, repo_type="dataset") |
|
|
| TRAJ.mkdir(parents=True, exist_ok=True) |
| cache = BUNDLE / "traj.zip" |
| if cache.exists(): |
| with zipfile.ZipFile(cache) as z: |
| z.extractall(ROOT / "train") |
| print("unpacked cache:", len(list(TRAJ.glob("*/*.pt"))), "files", flush=True) |
|
|
| |
| if run("a09", {"STAGE": "traj", "VOICES": "a09"}) != 0: |
| raise SystemExit("a09 trajectories failed") |
| print("total trajectories:", len(list(TRAJ.glob("*/*.pt"))), flush=True) |
|
|
| if run("train", {"STAGE": "all", "TRAIN_STEPS": "4000", "BATCH": "16", |
| "EVAL_VOICES": "a09,a08"}) != 0: |
| raise SystemExit("train/eval failed") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
