Add evaluation results on masakhaner dataset

README.md

@@ -1,6 +1,6 @@
 ---
-language: 
-  - sw
+language:
+- sw
 tags:
 - NER
 datasets:
@@ -10,7 +10,40 @@ metrics:
 - precision
 - recall
 widget:
-- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
+- text: Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi
+    wamepata maambukizi ya Covid - 19 .
+model-index:
+- name: mbeukman/xlm-roberta-base-finetuned-luo-finetuned-ner-swahili
+  results:
+  - task:
+      type: token-classification
+      name: Token Classification
+    dataset:
+      name: masakhaner
+      type: masakhaner
+      config: swa
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9603455723542117
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.9652613224840166
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.9638392857142857
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.9645497799718542
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.29673874378204346
+      verified: true
 ---