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-ab647f27-7704968).\
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: 
-  - yo
+language:
+- yo
 tags:
 - NER
 datasets:
@@ -10,7 +10,40 @@ metrics:
 - precision
 - recall
 widget:
-- text: "Kò sí ẹ̀rí tí ó fi ẹsẹ̀ rinlẹ̀ ."
+- text: "K\xF2 s\xED \u1EB9\u0300r\xED t\xED \xF3 fi \u1EB9s\u1EB9\u0300 rinl\u1EB9\
+    \u0300 ."
+model-index:
+- name: mbeukman/xlm-roberta-base-finetuned-ner-yoruba
+  results:
+  - task:
+      type: token-classification
+      name: Token Classification
+    dataset:
+      name: masakhaner
+      type: masakhaner
+      config: yor
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9398077985986057
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.9422011230973844
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.9592109222205506
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.9506299388698375
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.521824061870575
+      verified: true
 ---