kelingwang
/

bert-causation-rating-dr1

Text Classification

Model card Files Files and versions Community

kelingwang commited on 2 days ago

Commit

4e481ff

•

1 Parent(s): f31107f

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -57,7 +57,7 @@ This model predicts strength of causation (SoC) labels based on the text inputs
 # Performance and hyperparameters
 ## Test metrics
 This model achieves the following results on the test dataset. The test dataset is a 25% held-out stratified split of the entire dataset with `SEED=114514`.
- * Loss: 0.5916
  * Off-by-1 accuracy: 71.1864
  * Off-by-2 accuracy: 90.6780
  * MSE for ordinal data: 0.7797

 # Performance and hyperparameters
 ## Test metrics
 This model achieves the following results on the test dataset. The test dataset is a 25% held-out stratified split of the entire dataset with `SEED=114514`.
+ * Loss: 5.2014
  * Off-by-1 accuracy: 71.1864
  * Off-by-2 accuracy: 90.6780
  * MSE for ordinal data: 0.7797