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Ronald Tse
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release: ara-diac-small-1.0-int8 (int8, parity cer_delta 0.0pp on 800 samples)
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models.yaml

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- {name: der_beam4, value: 16.43, source: rababa/docs/RESULTS.md#hebrew-diacritization}
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parity: {samples: 500, cer_delta: 0.0}
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license: BSD-3-Clause
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ara-diac-small-1.0-int8:
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task: diacritization
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scripts: [Arab, Arab]
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precision: int8
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filename: ara-diac-small-1.0-int8.zip
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url: https://github.com/interscript/interscript-ml/releases/download/ara-diac-small-1.0/ara-diac-small-1.0-int8.zip
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sha256: af247d837bee7e755b5287102cfb715c48dc90c2cf41ec1c41e7238e1a72b678
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size: 256959713
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metrics:
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- {name: der_teacher_greedy, value: 1.3205, source: interscript/interscript-ml docs/RESULTS.md#ara-diac-small-1.0}
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- {name: der_student_greedy, value: 3.658, source: interscript/interscript-ml docs/RESULTS.md#ara-diac-small-1.0}
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parity: {samples: 800, cer_delta: 0.0}
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license: BSD-3-Clause
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format: imf-v1
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id: ara-diac-small-1.0
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task: diacritization
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source_script: Arab
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target: Arab
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tokenizer: bytes
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opset: 14
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decoder: kv
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precision: int8
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license: BSD-3-Clause
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trained_from: 'sequence-level KD from the r6 teacher (rababa_arabic_byt5/run-006-morph/best,
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2.5793 windowed DER-CE on the full SadeedDiac-25 protocol): 29,322 greedy teacher-generated
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labels on the r5-units corpus (domain + replay, 1400-byte windows); ByT5-small init
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google/byt5-small; 3 epochs; checkpoint rababa-checkpoints:/rababa_arabic_distill_small/run-002/best.
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Client tier: capacity-limited at +2.34pp over the teacher — the strict gate is met
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by the teacher release (ara-diac-1.0); shipped as the Arabic client rung per the
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documented Thai precedent.'
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metrics:
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- name: der_teacher_greedy
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value: 1.3205
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protocol: windowed DER-CE (1400-byte windows, word-boundary split, greedy, haraqat-projected,
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Misraj evaluator); 300 SadeedDiac-25 paragraphs; r6 teacher on the same harness
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as the student
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source: interscript/interscript-ml docs/RESULTS.md#ara-diac-small-1.0
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- name: der_student_greedy
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value: 3.658
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protocol: same harness; +2.34pp client-tier shrink cost (strict gate was teacher
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+0.5pp); shipped capacity-limited — see the RESULTS gate discussion
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source: interscript/interscript-ml docs/RESULTS.md#ara-diac-small-1.0
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parity:
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samples: 800
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cer_delta: 0.0
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sha256:
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decoder-kv.onnx: 657cd4181dda3812c3fd0fce0048c3b36df46b59a05f5ee6234c6ea2deea1e46
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decoder.onnx: c3f67a6ba51ef2a9ccb1eaea1f47c5bd097fde4b4341c0adbf439c43acdf9065
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encoder.onnx: 311532c232476969476f9cfbcfa72f00ee7d35279728f575a47f44baff3fc7d2

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