Update README.md

README.md

@@ -6,33 +6,32 @@ Note: Those are only the weights for the classifier trained on the `whisper-smal
 Result of the classifier Rob's human-annotated dataset (`data/voicemail_human_eval.csv`):
 
 Results for chunk size 1 seconds:
- - Accuracy: 0.8080
- - Precision: 0.9353
- - Recall: 0.7692
- - F1 Score: 0.8442 
+ - Accuracy: 0.7480
+ - Precision: 0.8681
+ - Recall: 0.7396
+ - F1 Score: 0.7987 
  
 Results for chunk size 2 seconds:
- - Accuracy: 0.8560
- - Precision: 0.9650
- - Recall: 0.8166
- - F1 Score: 0.8846 
+ - Accuracy: 0.7880
+ - Precision: 0.9085
+ - Recall: 0.7633
+ - F1 Score: 0.8296 
  
 Results for chunk size 5 seconds:
- - Accuracy: 0.8640
- - Precision: 0.9856
- - Recall: 0.8107
- - F1 Score: 0.8896 
+ - Accuracy: 0.8480
+ - Precision: 0.9456
+ - Recall: 0.8225
+ - F1 Score: 0.8797 
  
 Results for chunk size 10 seconds:
- - Accuracy: 0.8760
- - Precision: 1.0000
- - Recall: 0.8166
- - F1 Score: 0.8990 
+ - Accuracy: 0.8720
+ - Precision: 0.9790
+ - Recall: 0.8284
+ - F1 Score: 0.8974 
  
-Saved predictions to one_model/human_eval_results_10s.csv 
-
 Results for full audio samples:
  - Accuracy: 0.8760
- - Precision: 1.0000
- - Recall: 0.8166
- - F1 Score: 0.8990
+ - Precision: 0.9929
+ - Recall: 0.8225
+ - F1 Score: 0.8997 
+