Update README.md

README.md

@@ -6,6 +6,71 @@ metrics:
 - accuracy
 library_name: spacy
 pipeline_tag: token-classification
+model-index:
+- name: bg_news_lg
+  results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.9090909091
+    - name: NER Recall
+      type: recall
+      value: 0.8773461371
+    - name: NER F Score
+      type: f_score
+      value: 0.8929364727
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.9565136361
+  - task:
+      name: POS
+      type: token-classification
+    metrics:
+    - name: POS (UPOS) Accuracy
+      type: accuracy
+      value: 0.9858305885
+  - task:
+      name: MORPH
+      type: token-classification
+    metrics:
+    - name: Morph (UFeats) Accuracy
+      type: accuracy
+      value: 0.9645896751
+  - task:
+      name: LEMMA
+      type: token-classification
+    metrics:
+    - name: Lemma Accuracy
+      type: accuracy
+      value: 0.9271110013
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.9016132533
+  - task:
+      name: LABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.8459063799
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.939802336
 ---
 | Feature | Description |
 | --- | --- |