Add evaluation results on tals/vitaminc dataset

README.md

@@ -4,6 +4,62 @@ datasets:
 - fever
 - glue
 - tals/vitaminc
+model-index:
+- name: tals/albert-base-vitaminc
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: tals/vitaminc
+      type: tals/vitaminc
+      config: tals--vitaminc
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.4377049477326666
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.3355703134284889
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.4377049477326666
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.39076019579837573
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.31910363117265955
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.4377049477326666
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.4377049477326666
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.2979001062785211
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.43770494773266655
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.39742293746508284
+      verified: true
+    - name: loss
+      type: loss
+      value: 1.2437485456466675
+      verified: true
 ---
 # Details
 Model used in [Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence](https://aclanthology.org/2021.naacl-main.52/) (Schuster et al., NAACL 21`).