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Ronald Tse
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release: heb-diac-1.0 (fp32, parity cer_delta 0.0pp on 600 samples)
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‎models.yaml‎

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scripts: [Hebr, Hebr]
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precision: fp32
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filename: heb-diac-1.0-fp32.zip
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url: https://github.com/interscript/ml-models/releases/download/heb-diac-1.0/heb-diac-1.0-fp32.zip
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parts:
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- url: https://github.com/interscript/ml-models/releases/download/heb-diac-1.0/heb-diac-1.0-fp32.zip.part-00
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sha256: 5497f70cc3c96829e65f1eb0cc401c2d1ffeb4fa909acd4def824c2e019cbc37
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size: 1500000000
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- url: https://github.com/interscript/ml-models/releases/download/heb-diac-1.0/heb-diac-1.0-fp32.zip.part-01
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sha256: a7d2011ab4f9326a86e234cc49cb50daf82949e51efbf03a21d5796c46465e9d
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size: 1281139753
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sha256: b32fa239e0c56708b6004942de4b9e6e9f265e7cc3828f41d560e96386e20dd8
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size: 2781139753
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metrics:
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format: imf-v1
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id: heb-diac-1.0
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task: diacritization
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source_script: Hebr
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target: Hebr
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tokenizer: bytes
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opset: 14
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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: rababa train_hebrew_seeds.py s43 run-001; checkpoint rababa-checkpoints:/rababa_hebrew_byt5_s43/run-001/best
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metrics:
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- name: der_greedy
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value: 29.0
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protocol: beam=1 greedy decode (the v1 runtime path); Nakdimon test split, 5,095
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examples; ByT5-base s43
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source: rababa/docs/RESULTS.md#hebrew-diacritization
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- name: der_beam4
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value: 17.46
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protocol: beam=4 standard decode (reference quality; beam search is not in v1 runtimes);
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Nakdimon test split, 5,095 examples; ByT5-base s43
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source: rababa/docs/RESULTS.md#hebrew-diacritization
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parity:
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samples: 600
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cer_delta: 0.0
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sha256:
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decoder-kv.onnx: 2ff73f0f2ef81fb82231d8c6cb28b1383d9e8813360ffd6048eef47d051d624a
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decoder.onnx: fdee8fd7e44d683ca885c9c3b1088e44f2c7d594e19212e438f9bf2b240ee168
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encoder.onnx: e41d2f50219de835a6c18883a685532736ab710e36bbe1e0eab2d1a80da4ced6

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