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18 changes: 18 additions & 0 deletions models.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -117,4 +117,22 @@ models:
- {name: der_teacher_greedy, value: 24.79, source: interscript/interscript-ml docs/RESULTS.md#heb-diac-small-1.0}
- {name: der_student_greedy, value: 30.37, source: interscript/interscript-ml docs/RESULTS.md#heb-diac-small-1.0}
parity: {samples: 1864, cer_delta: 0.0}
fas-g2p-1.0:
task: g2p
scripts: [Arab, Latn]
precision: fp32
filename: fas-g2p-1.0-fp32.zip
parts:
- url: https://github.com/interscript/interscript-ml/releases/download/fas-g2p-1.0/fas-g2p-1.0-fp32.zip.part-00
sha256: 6c475e53f3c7ef3edcef5a24d2d81f51d13ddf4c417de98440943c9a32b03e55
size: 1500000000
- url: https://github.com/interscript/interscript-ml/releases/download/fas-g2p-1.0/fas-g2p-1.0-fp32.zip.part-01
sha256: c5656c649412f41e201c567e002514d31390b636d4650d9dcb6dfed1973fb3d5
size: 1280254270
sha256: b53fd69196127efcc596935d24e135b3c897006872c1646c674e70f3c0d9a0e3
size: 2780254270
metrics:
- {name: cer, value: 1.6, source: interscript/interscript-ml docs/RESULTS.md#fas-g2p-1.0}
- {name: sb_homograph_ezafe_norm, value: 77.34, source: interscript/interscript-ml docs/RESULTS.md#fas-g2p-1.0}
parity: {samples: 1000, cer_delta: 0.0}
license: BSD-3-Clause
38 changes: 20 additions & 18 deletions models/fas-g2p/fas-g2p-1.0.metadata.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -8,22 +8,24 @@ opset: 14
decoder: kv
precision: fp32
license: BSD-3-Clause
trained_from: >-
persian_g2p v1 (ByT5-small, byte-level, RELEASE-FROZEN); checkpoint
persian-g2p-checkpoints:/checkpoints/persian_g2p/run-001/best.
Shipped directly as the client-tier model — the v1 teacher is already
byte-level ByT5-small (no distillation needed; GRPO/RAFT variants and
the v5/mapped representation line are closed negative).
trained_from: persian_g2p v1 (ByT5-small, byte-level, RELEASE-FROZEN); checkpoint
persian-g2p-checkpoints:/checkpoints/persian_g2p/run-001/best. Shipped directly
as the client-tier model — the v1 teacher is already byte-level ByT5-small (no distillation
needed; GRPO/RAFT variants and the v5/mapped representation line are closed negative).
metrics:
- name: cer
value: 1.6
protocol: >-
greedy decode, editdistance CER on the v1 test split
(persian-g2p-datasets:/persian-g2p/test.jsonl)
source: interscript/interscript-ml docs/RESULTS.md#fas-g2p-1.0
- name: sb_homograph_ezafe_norm
value: 77.34
protocol: >-
SentenceBench homograph accuracy, ezafe-normalized
(eval_sentencebench.py protocol; published Homo-GE2PE: 76.89%)
source: interscript/interscript-ml docs/RESULTS.md#fas-g2p-1.0
- name: cer
value: 1.6
protocol: greedy decode, editdistance CER on the v1 test split (persian-g2p-datasets:/persian-g2p/test.jsonl)
source: interscript/interscript-ml docs/RESULTS.md#fas-g2p-1.0
- name: sb_homograph_ezafe_norm
value: 77.34
protocol: 'SentenceBench homograph accuracy, ezafe-normalized (eval_sentencebench.py
protocol; published Homo-GE2PE: 76.89%)'
source: interscript/interscript-ml docs/RESULTS.md#fas-g2p-1.0
parity:
samples: 1000
cer_delta: 0.0
sha256:
decoder-kv.onnx: ca5845e41ee7b0be050801a136399a0f1fd78f66973d68a68bfc09c97fd1550c
decoder.onnx: 0301054d602736bb0333c3c10c2836a74764c28a61e49b8472e7c637defd7f31
encoder.onnx: 811c0fd2e3e275dc00b49d299d4c3091cc841e4b87c775a528a0fa88fd36f488
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