Update README.md

README.md

@@ -9,6 +9,31 @@ widget:
 - text: "Nazywam się Grzegorz Brzęszczyszczykiewicz, pochodzę z Chrząszczyżewoszczyc, pracuję w Łękołodzkim Urzędzie Powiatowym"
 - text: "Jestem Krzysiek i pracuję w Ministerstwie Sportu"
 - text: "Na imię jej Wiktoria, pracuje w Krakowie na AGH"
+model-index:
+- name: herbert-base-ner
+  results:
+  - task:
+      name: Named Entity Recognition
+      type: token-classification
+    dataset:
+      name: wikiann
+      type: wikiann
+      config: pl
+      split: test
+      args: pl
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.8857142857142857
+    - name: Recall
+      type: recall
+      value: 0.9070532179048386
+    - name: F1
+      type: f1
+      value: 0.896256755412619
+    - name: Accuracy
+      type: accuracy
+      value: 0.9581463871961428
 ---
 
 
@@ -21,14 +46,6 @@ It has been trained to recognize three types of entities: person (PER), location
 
 Specifically, this model is an [*allegro/herbert-base-cased*](https://huggingface.co/allegro/herbert-base-cased) model that was fine-tuned on the Polish subset of *wikiann* dataset.
 
-It achieves the following results on the test subset of *wikitest/pl* set:
-- Loss: 0.1937
-- Precision: 0.8857
-- Recall: 0.9070
-- F1: 0.8962
-- Accuracy: 0.9581
-
-
 ## Intended uses & limitations
 
 #### How to use