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docs: curated card for ara-diac-plane-large-1.0
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‎cards/ara-diac-plane-large-1.0.md‎

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## Benchmark
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Full-set SadeedDiac-25 — 1,200 paragraphs, zero skipped, greedy decode
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(protocol-matched, Misraj's evaluator):
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| model | Total DER | notes |
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|---|---|---|
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| ara-diac-2.0 (teacher, 580M seq2seq) | 2.29% | best dedicated |
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| **ara-diac-plane-large-1.0 (this model)** | **2.74%** | **866 MB int8** |
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| Gemini-Flash-2.0 (frontier LLM) | 3.19% | |
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| ara-diac-plane-1.0 (plane small) | 3.59% | 219 MB int8 |
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| ara-diac-small-2.1 (seq2seq student) | 4.57% | 491 MB int8 |
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The second-best dedicated system overall, ahead of Gemini-Flash, and
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the best that ships as one self-contained int8 ONNX graph. Morph DER
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1.67% (iʿrāb quality); total WER 8.61%.
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## Architecture
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Plane-factorized diacritization at the ByT5-LARGE encoder scale: a
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byte-level encoder-only transformer (no decoder) with a diacritic-plane
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embedding and one classification head over 54 haraqat classes per
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character position. Decoding is K=2 mask-predict passes — parallel
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forwards feeding the predicted plane back; no KV cache, no
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autoregressive loop. Skeleton round-trip is byte-exact.
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The artifact is a single self-contained int8 ONNX graph in the plane
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zip contract (metadata.yaml with member sha256s + plane.onnx +
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classes.json), loadable by secryst-py `PlaneModel.from_zip`. The
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canonical distribution is the Secryst IMF artifact (sha256-verified);
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this repository mirrors those exact bytes.
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Provenance: rababa run-019, 2 epochs over 551k unique units. The
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epoch-2 number is the corrected measurement — the first epoch-2 eval
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silently re-scored epoch-1 predictions and was re-run in full (see the
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interscript-ml RESULTS ledger).

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