Upload roberta_fever_plus_adv_samples/README.md with huggingface_hub

roberta_fever_plus_adv_samples/README.md

@@ -11,19 +11,40 @@ license: unknown
 metrics:
   epoch:
   - 0
+  - 0
+  - 0
+  - 0
   train_loss:
   - 1.1077719926834106
+  - 1.0808662176132202
+  - 1.1135263442993164
+  - 1.0963691473007202
   val_loss:
   - 1.116754412651062
+  - 1.1231188774108887
+  - 1.1370257139205933
+  - 1.1022729873657227
   train_acc:
   - 0.25
+  - 0.65625
+  - 0.625
+  - 0.6538462042808533
   val_acc:
   - 0.34375
+  - 0.375
+  - 0.3854166567325592
+  - 0.35882866382598877
   train_f1_score:
   - 0.25
+  - 0.65625
+  - 0.625
+  - 0.6538461446762085
   val_f1_score:
   - 0.34375
-  best_metric: 1.116754412651062
+  - 0.375
+  - 0.3854166567325592
+  - 0.35882866382598877
+  best_metric: 1.1022729873657227
 model-index:
 - name: nli-fever
   results:
@@ -35,7 +56,7 @@ model-index:
       type: fever
     metrics:
     - type: acc
-      value: '0.34'
+      value: '0.36'
       name: Accuracy
       verified: false
 ---
@@ -60,10 +81,10 @@ The model was trained on the FEVER (Fact Extraction and VERification) dataset.
 
 ## Training procedure
 
-The model was trained for [0] epochs
-with a final loss of 1.116754412651062, an
-accuracy of 0.34375, and
-F1 score of 0.34375.
+The model was trained for [0, 0, 0, 0] epochs
+with a final loss of 1.1022729873657227, an
+accuracy of 0.35882866382598877, and
+F1 score of 0.35882866382598877.
 
 ## How to use