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[!NOTE] This student shows no measurable capability gain over its base model.A later trajectory study (exp_student_trajectory_2026-08-20) compared this checkpoint with its own base model on the full GSM8K test set: 65.9 → 67.9 (+2.0 points), McNemar paired test over 1,319 questions p=0.096 — not significant at α=0.05. 263 of 1,319 answers changed (118 right → wrong, 145 wrong → right) for a net of +27.Fine-tuning did change the model's behaviour; it did not change how often it is right. That may still be useful for studying style transfer independent of capability, but do not treat this as an improved model.
data/training/Teacher=Qwen-3-8B_Data=OMI(1K)_Template=Chat.jsonl)Problem:\n{question}\n\nSolution:\ntraining/ scripts (paper Appendix A recipe):
3 epochs, LR 1e-5, cosine schedule, 5% warmup, per-device batch 4 x grad-accum 4
(effective batch 16), block size 4096, bf16, gradient checkpointing, loss on
response tokens only (prompt masked -100). Teacher responses were pre-truncated
to 2,048 tokens in the released data. Trained on 1x H100
(paper used 2x H200; hyperparameters identical), transformers 4.55.4 / trl 0.19.1,
seed 42 (HF default; paper seed unknown). One compatibility patch: trl renamed
max_seq_length to max_length, so the block size is passed explicitly
(no behavioral change).math_verify.
GSM8K 4-shot; MATH500 zero-shot. Few-shot counts were calibrated so the
base models reproduce their Table 9 baselines. The paper does not document its
eval protocol, so treat cross-paper comparisons as approximate.| Benchmark | This reproduction | Paper Table 9 | Gen. budget | Hit budget cap |
|---|---|---|---|---|
| GSM8K | 67.40 | 68.40 | 4096 tok | 1.2% |
| MATH500 | 18.00 | 37.40 | 16384 tok | 98.0% |