Unverified50% confidenceBenchmarkExact time
Fiorillo v0.5's log loss is 0.8603 lower than the prior baseline and 0.1829 lower than the Gemma model reading the same input.
1
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50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
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Related Claims
UnverifiedOn a test set of 333 articles and 1,218 prompts, Fiorillo v0.5 achieved an Expected Calibration Error (ECE) of 0.0168, well below the preset upper limit of 0.05.67% similarUnverifiedFine-tuned DistilBERT achieves F1=0.9993 on in-distribution testing, but loses 12.9 mean average precision points under topic shift, a greater degradation than the linear model's 5.2 points.66% similarUnverifiedFrom epoch 160 to epoch 290, the MSE loss decreased from 0.0690 to 0.0652, a drop of only approximately 0.006 over 130 epochs.64% similarUnverifiedAn early iteration scored five percentage points lower than the Huihui base model on the IFEval instruction-following benchmark.62% similarUnverifiedDuring epochs 29 to 50, the variance of the sign-pattern loss is only ±0.40%, whereas the magnitude-based variant reaches as high as ±2.25%61% similar
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