{ "learned_temperature": 1.650000000000001, "selected_by": "ece_grid_on_fit_set", "grid": { "lo": 0.5, "hi": 20.000000000000018, "step": 0.05 }, "candidates": { "nll_optimal_T": 2.1000000000000014, "ece_optimal_T": 1.650000000000001, "brier_optimal_T": 1.700000000000001, "gap_zero_T": 1.750000000000001 }, "known_tradeoff": "★ ECE 最优的 T 会【过度校正】平均置信度(peak 口径非线性所致):ECE 最优处 gap<0,gap=0 处 ECE 略高。两者用途不同,不是 bug。", "fit_n": 1399, "eval_n": 1399, "before": { "acc": 0.7019299499642602, "mean_conf": 0.816660356396593, "gap": 0.11473040643233279, "ece": 0.12728501762378236, "brier": 0.1746328467529055 }, "after": { "T": 1.650000000000001, "acc": 0.7019299499642602, "mean_conf": 0.7088651948607514, "gap": 0.006935244896491222, "ece": 0.05075217925967601, "brier": 0.15447520839714682 }, "evaluated_on_eval_set": { "未标定": { "T": 1.0, "acc": 0.7019299499642602, "mean_conf": 0.816660356396593, "gap": 0.11473040643233279, "ece": 0.12728501762378236, "brier": 0.1746328467529055 }, "NLL 最优": { "T": 2.1000000000000014, "acc": 0.7019299499642602, "mean_conf": 0.6337819371867018, "gap": -0.06814801277755833, "ece": 0.06985360079196457, "brier": 0.1592315759893245 }, "ECE 最优": { "T": 1.650000000000001, "acc": 0.7019299499642602, "mean_conf": 0.7088651948607514, "gap": 0.006935244896491222, "ece": 0.05075217925967601, "brier": 0.15447520839714682 }, "Brier 最优": { "T": 1.700000000000001, "acc": 0.7019299499642602, "mean_conf": 0.7004748391342072, "gap": -0.001455110830053008, "ece": 0.04773369963781429, "brier": 0.15426105938994958 }, "gap=0(置信无偏)": { "T": 1.750000000000001, "acc": 0.7019299499642602, "mean_conf": 0.692083567325022, "gap": -0.009846382639238205, "ece": 0.04852943644973566, "brier": 0.15423682907419622 }, "当前生效": { "T": 3.7500000000000027, "acc": 0.7019299499642602, "mean_conf": 0.4126402496230805, "gap": -0.2892897003411797, "ece": 0.2892897003411796, "brier": 0.2554843314346952 } }, "note": "在留出集的一半上按 ECE 网格搜索 T,另一半评估;准确率不变。★ 温度已回写进 .pt 的 meta(第 27 轮修复)。" }