Add metadata 1 (#1)

- Add metadata 1 (7bad485567176a818a7152445c07d8ca9d742c33)

README.md

@@ -6,6 +6,46 @@ widget:
 datasets:
 - lewtun/autotrain-data-my-eval-project-615
 co2_eq_emissions: 172.04481351504182
+model-index:
+- name: bhadresh-savani/distilbert-base-uncased-emotion
+  results:
+  - task:
+      name: Multi-class Classification
+      type: text-classification
+    metrics:
+       - name: Loss
+         type: loss
+         value: 0.17404702305793762
+       - name: Accuracy
+         type: accuracy
+         value: 0.927
+       - name: Macro F1
+         type: macro_f1
+         value: 0.8825061528287809
+       - name: Recall
+         type: micro_f1
+         value: 0.927
+       - name: Weighted F1
+         type: weighted_f1
+         value: 0.926876082854655
+       - name: Macro Precision
+         type: macro_precision
+         value: 0.8880230732280744
+       - name: Micro Precision
+         type: micro_precision
+         value: 0.927
+       - name: Weighted Precision
+         type: weighted_precision
+         value: 0.9272902840835793
+       - name: Macro Recall
+         type: macro_recall
+         value: 0.8790126653780703
+       - name: Micro Recall
+         type: micro_recall
+         value: 0.927
+       - name: Weighted Recall
+         type: weighted_recall
+         value: 0.927
 ---
 
 # Model Trained Using AutoTrain