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Ronald Tse
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release: heb-diac-small-1.0 (fp32, parity cer_delta 0.0pp on 1864 samples)
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‎models.yaml‎

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- {name: per_student, value: 9.19, source: interscript/ml-models docs/RESULTS.md#tha-g2p-base-1.0}
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parity: {samples: 1219, cer_delta: 0.0}
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license: BSD-3-Clause
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heb-diac-small-1.0:
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task: diacritization
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scripts: [Hebr, Hebr]
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precision: fp32
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filename: heb-diac-small-1.0-fp32.zip
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url: https://github.com/interscript/interscript-ml/releases/download/heb-diac-small-1.0/heb-diac-small-1.0-fp32.zip
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sha256: 905c53873d5a62bbe6252c6ec0ecef5f37e96e78cb01e8cd99b6b24c4d4d74ad
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size: 1418663344
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metrics:
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- {name: der_teacher_greedy, value: 24.79, source: interscript/ml-models docs/RESULTS.md#heb-diac-small-1.0}
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- {name: der_student_greedy, value: 30.37, source: interscript/ml-models docs/RESULTS.md#heb-diac-small-1.0}
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parity: {samples: 1864, cer_delta: 0.0}
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license: BSD-3-Clause

‎models/heb-diac-small/heb-diac-small-1.0.metadata.yaml‎

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decoder: kv
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precision: fp32
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license: BSD-3-Clause
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trained_from: >-
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logit KD from the s43 teacher (rababa_hebrew_byt5_s43/run-001/best,
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RELEASE-FROZEN): KL(teacher_soft || student_soft) + CE on the
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hebrew-v4 corpus, ByT5-small init google/byt5-small; checkpoint
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rababa-checkpoints:/rababa_hebrew_distill_small/run-001/best
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trained_from: 'logit KD from the s43 teacher (rababa_hebrew_byt5_s43/run-001/best,
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RELEASE-FROZEN): KL(teacher_soft || student_soft) + CE on the hebrew-v4 corpus,
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ByT5-small init google/byt5-small; checkpoint rababa-checkpoints:/rababa_hebrew_distill_small/run-001/best'
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metrics:
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- name: der_teacher_greedy
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value: 24.79
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protocol: >-
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greedy decode; Nakdimon IMF test split, 1,864 long sentences;
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s43 teacher on the same harness as the student
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source: interscript/ml-models docs/RESULTS.md#heb-diac-small-1.0
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- name: der_student_greedy
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value: 30.37
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protocol: >-
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greedy decode; same harness; +5.58pp shrink cost, inside the
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~5.6pp budget pre-accepted for this pair
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(docs/DISTILL-SOURCE-PROMPT.md section 2)
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source: interscript/ml-models docs/RESULTS.md#heb-diac-small-1.0
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- name: der_teacher_greedy
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value: 24.79
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protocol: greedy decode; Nakdimon IMF test split, 1,864 long sentences; s43 teacher
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on the same harness as the student
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source: interscript/ml-models docs/RESULTS.md#heb-diac-small-1.0
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- name: der_student_greedy
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value: 30.37
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protocol: greedy decode; same harness; +5.58pp shrink cost, inside the ~5.6pp budget
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pre-accepted for this pair (docs/DISTILL-SOURCE-PROMPT.md section 2)
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source: interscript/ml-models docs/RESULTS.md#heb-diac-small-1.0
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parity:
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samples: 1864
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cer_delta: 0.0
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sha256:
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decoder-kv.onnx: fa972292e1dafaa7a0d6806470f0d62377e19e102e77ebe122b300cd55c8b7aa
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decoder.onnx: d705c9d8dae427a26c0d56ccd25dc9882b7a657b6c719921f899c3635aa2e466
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encoder.onnx: d9f86e04f01522b40b551bec9324c76c9eb2829641201167849a3e86dc81a973

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