Add evaluation results on banking77 dataset

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the [banking77](https://huggingface.co/datasets/banking77) dataset by

@lewtun
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-f87a1758-7384796).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=banking77).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=banking77).

README.md

@@ -7,7 +7,63 @@ tags:
 datasets:
 - banking77
 widget:
-- text: "How long until my transfer goes through?"
+- text: How long until my transfer goes through?
+model-index:
+- name: mrm8488/distilroberta-finetuned-banking77
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: banking77
+      type: banking77
+      config: default
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8961038961038961
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.9063619413451185
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.8961038961038961
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.906361941345118
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.8961038961038963
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.8961038961038961
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.8961038961038961
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.8914970725184695
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.8961038961038962
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.8914970725184699
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.5607758164405823
+      verified: true
 ---
 # distilroberta-base fine-tuned on banking77 dataset for intent classification
 Test set accuray: 0.896