| """Kaggle notebook body: does more training keep closing the held-out gap? |
| |
| Step count has moved the numbers a lot already: |
| |
| 1500 steps a07 +4.15 pp a08 +1.95 pp loss 0.226 |
| 4000 steps a07 +2.30 pp a08 -0.51 pp loss 0.179 |
| |
| The loss was still falling at 4000, so this run doubles it to 8000 and does the |
| same evaluation. The two columns now answer different questions: if a07 keeps |
| improving the student is still underfitted; if a07 stalls or regresses while a08 |
| improves, it is starting to memorise the six training voices, and the next lever |
| is data diversity rather than more steps. |
| |
| Trajectories come from the cached traj.zip, so the 50-minute generation pass is |
| skipped unless the cache is missing. |
| """ |
| import os |
| import subprocess |
| import sys |
|
|
| from notebook_eval import BUNDLE, MODEL, ROOT, WEIGHTS, pull, stage_deps, stage_repo |
|
|
| BUNDLE_REPO = "idefinity/webfm-eval" |
| HOLDOUT = "a07" |
| EVAL_VOICES = "a07,a08" |
| TRAIN_STEPS = "8000" |
|
|
|
|
| def run(tag: str, extra: dict, gpu: int = 0) -> int: |
| env = dict(os.environ, WORK_ROOT=str(ROOT), HOLDOUT=HOLDOUT, **extra) |
| env["CUDA_VISIBLE_DEVICES"] = str(gpu) |
| env["PYTORCH_CUDA_ALLOC_CONF"] = "expandable_segments:True" |
| log = open(ROOT / f"run4_{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"run4_{tag}.log").read_text()[-2500:]) |
| return rc |
|
|
|
|
| def main() -> None: |
| stage_repo() |
| stage_deps() |
| pull(WEIGHTS, MODEL) |
| pull(BUNDLE_REPO, BUNDLE, repo_type="dataset") |
|
|
| if (BUNDLE / "traj.zip").exists(): |
| print("using cached trajectories", flush=True) |
| else: |
| raise SystemExit("traj.zip missing from the bundle — regenerate before running") |
|
|
| if run("final", {"STAGE": "all", "TRAIN_STEPS": TRAIN_STEPS, "BATCH": "16", |
| "EVAL_VOICES": EVAL_VOICES}) != 0: |
| raise SystemExit("train/export/eval failed") |
|
|
| run("int4", {"STAGE": "eval_int4", "EVAL_VOICES": EVAL_VOICES}) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
