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Qwen2.5-0.5B-Instruct fine-tuned with from-scratch GRPO (Group-Relative Policy
Optimization) on the Countdown number-puzzle task — combine the given numbers exactly
once with + - * / to hit a target. Rewards are verifiable (exact rational arithmetic
via a whitelisted-AST evaluator), so this is RLVR: no reward model, no critic.3e-6, group 8, 1500 steps).| model | accuracy | hard (5-num) | format_rate | avg_tokens (correct) |
|---|---|---|---|---|
| base Qwen2.5-0.5B-Instruct (floor) | 0.33% | 0.00% | 0.00% | 20.0 |
| this model (GRPO, lr 3e-6) | 12.00% | 1.67% | 0.00% | 16.9 |
<answer>, so the model emits bare answers with no <think> (format_rate = 0).1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained("<your-username>/countdown-qwen2.5-0.5b-grpo-lr3e6")
4tok = AutoTokenizer.from_pretrained("<your-username>/countdown-qwen2.5-0.5b-grpo-lr3e6")