Add evaluation results on masakhaner dataset

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Your model has been evaluated on the [masakhaner](https://huggingface.co/datasets/masakhaner) dataset by

@lewtun

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-200453bd-7694964).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=masakhaner).\
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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-igbo-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: 0.9607775377969763
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.9671191148143171
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.9637946428571429
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.9654540169487735
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.2816043794155121
+      verified: true
 ---