Datasets:
Submission: rony/gemma3-270m-typed-decisions (Specialist)
Model: https://huggingface.co/rony/gemma3-270m-typed-decisions
Mode: fine-tuned on train (all four workflows), for the "Fitted or fine-tuned on train" table.
Scored on LocalLLaMA/typed-decisions all/test (400 cases, 2000 decisions), never seen in training.
| Model | Kind | Accuracy ↑ | KL from gold ↓ | Brier ↓ | ECE ↓ | Latency |
|---|---|---|---|---|---|---|
| gemma3-270m-typed-decisions (Gemma 3 270M, full fine-tune) | fine-tuned on train |
0.761 | 0.1319 | 0.0716 | 0.1480 | 68 ms / case (cuda, Apple Silicon) |
ECE is computed per question and averaged over the 20 questions (closest to the README's reference rows); pooled over all decisions it is 0.1146.
By question type
| accuracy | kl | brier | ece | |
|---|---|---|---|---|
| choice | 0.732 | 0.167 | 0.085 | 0.112 |
| noul | 0.822 | 0.089 | 0.062 | 0.066 |
| score | 0.739 | 0.138 | 0.068 | 0.158 |
| OVERALL | 0.761 | 0.132 | 0.072 | 0.115 |
By workflow
| accuracy | kl | brier | ece | |
|---|---|---|---|---|
| agent_trace_observability | 0.740 | 0.095 | 0.057 | 0.163 |
| customer_service | 0.772 | 0.134 | 0.070 | 0.114 |
| invoice_processing | 0.784 | 0.217 | 0.115 | 0.087 |
| security_incidents | 0.750 | 0.081 | 0.045 | 0.151 |
| OVERALL | 0.761 | 0.132 | 0.072 | 0.115 |
Baselines on the same split: Prior accuracy 0.478 / KL 0.327; zero-shot Gemma 3 270M accuracy 0.279 / KL 1.068.
Setup. Full fine-tune of google/gemma-3-270m-it (AdamW, lr 3.00e-05, weight decay 0.010, warmup 0.10,
effective batch 16, 12 epochs; hyperparameters from Optuna search (hpo/best_hparams.json); epoch picked on
held-out-train KL).
Each question is its own forward pass (5 per case, not all five in one request); the answer distribution is the softmax
of the next-token logits over the option letters. ECE is 10-bin expected calibration error of max probability vs.
correctness. Full test distributions are in test_predictions.jsonl in the model repo, so the numbers can be re-run.
Added to Table 2 as the specialist entry: 0.761 accuracy, KL 0.132, Brier 0.072, ECE 0.148, 68 ms per case. Thanks.