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Fair evaluation
Deterministic greedy exact-match evaluation with the required #### <number>
answer parser:
- Full-set eval: 45.41% GSM8K / 57.67% SVAMP
- Second fixed-subset eval: 48% GSM8K / 50% SVAMP
These results currently outperform the old Phase 3 REINFORCE checkpoints under the same fair-eval setup.
Notes
- Base model:
Qwen/Qwen2.5-1.5B-Instruct - Hardware/training constraints: fp16 + SDPA, no bf16, no Flash Attention 2
- This is a research artifact, not a production math model
Extra files
phase2_final_full_eval.jsonphase2_vs_phase3_independent_shuffle.json
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ahmed-3m
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Qwen/Qwen2.5-1.5B-Instruct
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