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AZH04/SmolLM2-360M-base-gsm8k-boxed-sft
SmolLM2-360M-base-gsm8k-boxed-sft is a machine learning model from AZH04. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Supervised fine-tune of HuggingFaceTB/SmolLM2-360M (plain base, not Instruct) on 978 verified teacher traces for GSM8K in the "boxed" recipe. Checkpoint at 6 epochs (global step 180) = 5,868 demonstration presentations.
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From the Hugging Face model README
Supervised fine-tune of HuggingFaceTB/SmolLM2-360M (plain base, not Instruct) on 978 verified teacher traces for GSM8K in the "boxed" recipe. Checkpoint at 6 epochs (global step 180) = 5,868 demonstration presentations.
One of a ladder of SFT checkpoints whose demonstration budgets are matched to the hybrid (unified-training) arms of the GSM8K sweep, so that a staged/sequential arm (SFT then RL) can be compared against a hybrid arm (demos streamed during RL) at an identical total demonstration budget.
| hybrid family | presentations | epochs | this ladder |
|---|---|---|---|
| constant m2 | 6,000 | 6.1 | -sft (6 ep) |
| decay M8 | 7,824 | 8.0 | -sft-ep9 (+12%) |
| constant m4 | 12,000 | 12.3 | -sft-ep12 |
| decay M16 | 15,648 | 16.0 | -sft-ep16 |
| constant m8 | 24,000 | 24.5 | -sft-ep24 |
| decay M32 | 31,296 | 32.0 | -sft-ep32 |
| constant m16 | 48,000 | 49.1 | -sft-ep49 |
{question} Let's think step by step and output the final answer within \boxed{}.Initialization for RL. Evaluate with a strict grader that reads the last
\boxed{...} span (unparseable or absent box scores 0); the campaign's
reference protocol is n=128 samples, temperature 0.6, top_p 0.95, max 1024
new tokens, on the full 1,236-question GSM8K test split.
Reference numbers for the shorter rungs (same protocol, strict scorer): 6 ep = .0683 pass@1 / .6693 pass@64; 9 ep = .0718 / .6934; 12 ep = .0756 / .6990.