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-f87a1758-7384797).\
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

@@ -8,14 +8,15 @@ metrics:
 - accuracy
 - f1
 widget:
-- text: "Could you assist me in finding my lost card?"
-  example_title: "Example 1"
-- text: "I found my lost card. Am I still able to use it?"
-  example_title: "Example 2"
-- text: "Hey, I thought my topup was all done but now the money is gone again – what’s up with that?"
-  example_title: "Example 3"
-- text: "Tell me why my topup wouldn’t go through?"
-  example_title: "Example 4"
+- text: Could you assist me in finding my lost card?
+  example_title: Example 1
+- text: I found my lost card. Am I still able to use it?
+  example_title: Example 2
+- text: "Hey, I thought my topup was all done but now the money is gone again \u2013\
+    \ what\u2019s up with that?"
+  example_title: Example 3
+- text: "Tell me why my topup wouldn\u2019t go through?"
+  example_title: Example 4
 model-index:
 - name: distilbert-base-uncased-finetuned-banking77
   results:
@@ -33,6 +34,59 @@ model-index:
     - name: F1
       type: f1
       value: 0.925018570680639
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: banking77
+      type: banking77
+      config: default
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.925
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.9282769473964405
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.925
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9282769473964405
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.9250000000000002
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.925
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.925
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.9250185706806391
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.925
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.925018570680639
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.2934279143810272
+      verified: true
 ---
 
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