feat: restore model-index eval results (standard format)

README.md

@@ -26,6 +26,55 @@ tags:
 - hr
 - job-postings
 - sequence-classification
+model-index:
+- name: rubert-tiny-vacancy-section-classifier-coreml
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: Vacancy Section Classifier Dataset (RU) — golden-281 (human-labeled)
+      type: russian-oracle/vacancy-section-classifier-ru
+      split: test
+    metrics:
+    - type: accuracy
+      value: 0.765
+      name: Content Accuracy (4 classes, golden-281)
+    - type: accuracy
+      value: 0.687
+      name: 5-class Accuracy (incl. junk, golden-281)
+    - type: recall
+      value: 0.333
+      name: Junk Recall (golden-281)
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: Vacancy Section Classifier Dataset (RU) — in-domain test split
+      type: russian-oracle/vacancy-section-classifier-ru
+      split: test
+    metrics:
+    - type: accuracy
+      value: 0.893
+      name: Accuracy (in-domain)
+    - type: f1
+      value: 0.869
+      name: Macro F1 (in-domain)
+    - type: f1
+      value: 0.789
+      name: F1 responsibilities
+    - type: f1
+      value: 0.760
+      name: F1 requirements
+    - type: f1
+      value: 0.795
+      name: F1 terms
+    - type: f1
+      value: 0.684
+      name: F1 notes
+    - type: f1
+      value: 0.374
+      name: F1 junk
 ---
 
 # rubert-tiny · Vacancy Section Classifier · CoreML