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yafitzdev
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pyrrho-nano-g1

Text Classification
Transformers
ONNX
Safetensors
English
modernbert
rag
governance
hallucination-detection
epistemic-honesty
classification
fitz-gov
pyrrho
text-embeddings-inference
Model card Files
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@@ -41,7 +41,7 @@ A drop-in replacement for the constraint+sklearn governance pipeline in [fitz-sa
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  Validated on the [fitz-gov](https://github.com/yafitzdev/fitz-gov) V5.1 eval split (584 cases, stratified 20% hold-out from `tier1_core`). All numbers are **3-seed mean ± std** across seeds [42, 1337, 7].
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- | Metric | pyrrho v1 | fitz-sage v0.11 (sklearn baseline) | Δ |
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  |---|---|---|---|
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  | Overall accuracy (calibrated) | **86.13 ± 0.86** | 78.7 | **+7.43** |
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  | False-trustworthy rate (safety) | **5.27 ± 0.21** | 5.7 | **-0.43** (safer) |
@@ -170,7 +170,7 @@ fitz-gov commit at training time: `3e1d22e22fdff726330a0d70503b07f73dacf817`
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  ## Citation
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  ```bibtex
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- @misc{pyrrho_v1_2026,
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  title = { pyrrho-nano-g1 },
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  author = { Yan Fitzner },
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  year = { 2026 },
 
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  Validated on the [fitz-gov](https://github.com/yafitzdev/fitz-gov) V5.1 eval split (584 cases, stratified 20% hold-out from `tier1_core`). All numbers are **3-seed mean ± std** across seeds [42, 1337, 7].
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+ | Metric | pyrrho-nano-g1 | fitz-sage v0.11 (sklearn baseline) | Δ |
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  |---|---|---|---|
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  | Overall accuracy (calibrated) | **86.13 ± 0.86** | 78.7 | **+7.43** |
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  | False-trustworthy rate (safety) | **5.27 ± 0.21** | 5.7 | **-0.43** (safer) |
 
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  ## Citation
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  ```bibtex
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+ @misc{pyrrho_nano_g1_2026,
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  title = { pyrrho-nano-g1 },
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  author = { Yan Fitzner },
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  year = { 2026 },