release: ara-diac-small-2.0

models.yaml

@@ -230,3 +230,29 @@ models:
       - {name: der_student_fullset, value: 8.259, source: interscript/interscript-ml docs/RESULTS.md#ara-diac-small-1.0}
     parity: {samples: 800, cer_delta: 0.0}
     license: BSD-3-Clause
+  ara-diac-small-2.0:
+    task: diacritization
+    scripts: [Arab, Arab]
+    precision: fp32
+    filename: ara-diac-small-2.0-fp32.zip
+    url: https://github.com/interscript/interscript-ml/releases/download/ara-diac-small-2.0/ara-diac-small-2.0-fp32.zip
+    sha256: d9aa95d0e8fd0d7da80fd2f7dabedf0ac65f55ba984de565d252f5e14906d98c
+    size: 1418516306
+    metrics:
+      - {name: der_teacher_fullset, value: 2.289, source: interscript/interscript-ml docs/RESULTS.md#run-006-r7-muon}
+      - {name: der_student_fullset, value: 4.8218, source: interscript/interscript-ml docs/RESULTS.md#run-006-r7-muon}
+    parity: {samples: 600, cer_delta: 0.1187}
+    license: BSD-3-Clause
+  ara-diac-small-2.0-int8:
+    task: diacritization
+    scripts: [Arab, Arab]
+    precision: int8
+    filename: ara-diac-small-2.0-int8.zip
+    url: https://github.com/interscript/interscript-ml/releases/download/ara-diac-small-2.0/ara-diac-small-2.0-int8.zip
+    sha256: f4d07acdaf9c18cded97e15e0c5636e6cee90de2fa32c5a373a44c0cc912bf50
+    size: 264043016
+    metrics:
+      - {name: der_teacher_fullset, value: 2.289, source: interscript/interscript-ml docs/RESULTS.md#run-006-r7-muon}
+      - {name: der_student_fullset, value: 4.8218, source: interscript/interscript-ml docs/RESULTS.md#run-006-r7-muon}
+    parity: {samples: 600, cer_delta: 0.1393}
+    license: BSD-3-Clause

models/ara-diac-small/ara-diac-small-2.0.metadata.yaml

@@ -11,23 +11,29 @@ license: BSD-3-Clause
 trained_from: 'sequence-level KD from the r7 canonical teacher (rababa_arabic_byt5/run-007-news/best,
   2.2864 windowed DER-CE full protocol): fresh greedy r7 labels on the same r5-units
   corpus/limits as ara-diac-small-1.0, Muon optimizer (E3-adopted), vanilla ByT5-small
-  (E4, pre-registered gate <= 6.26). Checkpoint
-  rababa-checkpoints:/rababa_arabic_distill_small/run-006-r7-muon/best. The two
-  measured wins compound: 8.259 -> 4.8218 full-set windowed DER-CE (teacher reproduces
-  2.289 in-run vs documented 2.2864) — a 42% error reduction on the 1.0 release at the
-  same architecture and artifact size. Still misses the strict teacher+0.5pp gate
-  (+2.53pp; miss disclosed); the E2/E3 factorial attributes the residual to domain
+  (E4, pre-registered gate <= 6.26). Checkpoint rababa-checkpoints:/rababa_arabic_distill_small/run-006-r7-muon/best.
+  The two measured wins compound: 8.259 -> 4.8218 full-set windowed DER-CE (teacher
+  reproduces 2.289 in-run vs documented 2.2864) — a 42% error reduction on the 1.0
+  release at the same architecture and artifact size. Still misses the strict teacher+0.5pp
+  gate (+2.53pp; miss disclosed); the E2/E3 factorial attributes the residual to domain
   coverage.'
 metrics:
 - name: der_teacher_fullset
   value: 2.289
-  protocol: windowed DER-CE (1400-byte windows, word-boundary split, greedy,
-    haraqat-projected, Misraj evaluator); full 1,200-paragraph SadeedDiac-25;
-    in-run reproduction of the documented 2.2864 (r7 canonical teacher)
+  protocol: windowed DER-CE (1400-byte windows, word-boundary split, greedy, haraqat-projected,
+    Misraj evaluator); full 1,200-paragraph SadeedDiac-25; in-run reproduction of
+    the documented 2.2864 (r7 canonical teacher)
   source: interscript/interscript-ml docs/RESULTS.md#run-006-r7-muon
 - name: der_student_fullset
   value: 4.8218
-  protocol: same full-set harness; E4 (r7 teacher labels + Muon, vanilla
-    ByT5-small) vs the 8.259 AdamW/r6-labels 1.0 release — a 42% error
-    reduction at identical architecture and artifact size
+  protocol: same full-set harness; E4 (r7 teacher labels + Muon, vanilla ByT5-small)
+    vs the 8.259 AdamW/r6-labels 1.0 release — a 42% error reduction at identical
+    architecture and artifact size
   source: interscript/interscript-ml docs/RESULTS.md#run-006-r7-muon
+parity:
+  samples: 600
+  cer_delta: 0.1187
+sha256:
+  decoder-kv.onnx: 61ef645345997eb5b9746ac77b39363228e5d0873093e6ebaca9a5903d3ac846
+  decoder.onnx: 56d81cc644e2c27b56f5efd07f3e6bac0244b74e1383782b13e2d615fbcd43c6
+  encoder.onnx: 1eab5f6d418bd718e0628e0cee3124143dd7f277e5b14669a8df76744d12c5ce