director: 40 topics + collect/train/eval driver

kaggle/notebook_director_train.py

@@ -0,0 +1,50 @@
+"""Kaggle notebook body: build the director's training set, fine-tune, re-score.
+
+Three subprocesses, same upgraded environment:
+
+1. collect - sample the base model, keep every script that already satisfies the
+   TTS contract (acceptance is about 60% with the line format, so 160 scripts
+   costs roughly 35 minutes).
+2. train   - fine-tune the last six blocks and the head on those 160.
+3. eval    - score the tuned model on the same topic list as the baseline.
+
+Everything runs out-of-process because transformers has to be upgraded to 5.x
+and this notebook already imported huggingface_hub to fetch the bundle.
+"""
+import os
+import subprocess
+import sys
+
+BUNDLE = "/kaggle/working/webfm-eval"
+ENV = dict(os.environ, WORK_ROOT="/kaggle/working")
+
+
+def sh(cmd: str) -> None:
+    print(f"$ {cmd}", flush=True)
+    if subprocess.run(cmd, shell=True).returncode != 0:
+        raise SystemExit(f"failed: {cmd}")
+
+
+def run(script: str, **env) -> int:
+    target = os.path.join(BUNDLE, "kaggle", script)
+    print(f"\n===== {script} {env} =====", flush=True)
+    rc = subprocess.run([sys.executable, target], env=dict(ENV, **env)).returncode
+    print(f"----- {script} rc={rc} -----", flush=True)
+    return rc
+
+
+def main() -> None:
+    sh("pip install -q --upgrade 'transformers>=5' 'huggingface_hub>=1.31,<2' accelerate")
+
+    if not os.path.exists(os.path.join(BUNDLE, "kaggle", "director_probe.py")):
+        raise SystemExit("director_probe.py missing")
+
+    run("director_probe.py", MODE="collect", TARGET="160", MAX_TRIES="700")
+    if run("director_sft.py", EPOCHS="4", TRAIN_LAYERS="6") != 0:
+        raise SystemExit("training failed")
+    run("director_probe.py", MODE="eval", N_SAMPLES="12",
+        DIRECTOR_MODEL="/kaggle/working/director/model")
+
+
+if __name__ == "__main__":
+    main()