Instructions to use Yuivdldk/math-adapter-l45-g4b-selfsol_s43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Yuivdldk/math-adapter-l45-g4b-selfsol_s43 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "Yuivdldk/math-adapter-l45-g4b-selfsol_s43") - Notebooks
- Google Colab
- Kaggle
selfsol_s43 — LoRA adapter(科展研究產物)
這支 adapter 原本只存在於一台 SPOT VM 的磁碟上。 本 repo 是保全副本。
| base | google/gemma-3-4b-it @ 093f9f388b31de276ce2de164bdc2081324b9767 |
| 訓練資料 | self_solution_sft.jsonl,sha256 346f75ece314dd0612f652824c9993c28fcc5577f7024547848ebab0c5268341(530 筆) |
| seed | 43 |
| 配方 | lr 1e-4、epochs 1.0、max_length 4096、per-device 1 × grad-accum 8 |
adapter_model.safetensors sha256 |
0bee92d1dc047a4d3acaa6b3be61ee88533a8fdf4cd6a764bfa970688b1c2c56 |
| held-out Δ vs base(n=2538,direct-axis 尺) | -0.79pp |
臂的意義
control—— 265 筆訓練目標是外部老師(deepseek-v4-pro)的解+265 筆 base 自己的正解 replayselfsol—— 同一批 265 題、同一批 replay、同配方同 seed, 唯一差別是那 265 筆的目標文字換成 base 自己最短的正解
兩臂的配對差(4 個 seed):**+6.74pp、seed 間 SD 1.15pp、每對 p ≤ 1.2e−12。 ⇒ 傷害來自目標來源**,不是題目、劑量或配方。
🔴 引用時的界線
- 尺是
direct-axis-balanced-box-v2.1-timeout-safe+math-verify-0.9.0, 不可與math-mathverify-v1或math-mathverify-terminal-v2家族的數字相減。 - 計分只能在 Linux 跑(Windows 上 math-verify 的
parse()會回[])。
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