层1: diag_generate ruff 修复
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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@@ -38,12 +38,17 @@ for i in (900, 950):
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out = model.generate(
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out = model.generate(
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**inputs, max_new_tokens=512, do_sample=False, temperature=None, top_p=None
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**inputs, max_new_tokens=512, do_sample=False, temperature=None, top_p=None
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)
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)
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completion = tok.decode(out[0][inputs["input_ids"].shape[1] :], skip_special_tokens=True)
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completion = tok.decode(
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out[0][inputs["input_ids"].shape[1] :], skip_special_tokens=True
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)
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print(f"===== 样本 {i} 题目 =====")
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print(f"===== 样本 {i} 题目 =====")
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print(ds[i]["messages"][-1]["content"][120:280], "…")
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print(ds[i]["messages"][-1]["content"][120:280], "…")
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print(f"----- 生成(前 600 字符)-----")
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print("----- 生成(前 600 字符)-----")
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print(completion[:600])
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print(completion[:600])
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print()
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print()
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print("判读:应为步骤化数学解答(markdown 风格、以 Answer: 行收尾的倾向);"
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print(
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"乱码/复读/空输出 = 不通过。", flush=True)
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"判读:应为步骤化数学解答(markdown 风格、以 Answer: 行收尾的倾向);"
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"乱码/复读/空输出 = 不通过。",
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flush=True,
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)
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