Update README.md

README.md

@@ -7,33 +7,32 @@ Note: This classifier also contains fine-tuned `whisper-small` weights in its st
 Result of the classifier Rob's human-annotated dataset (`data/voicemail_human_eval.csv`):
 
 Results for chunk size 1 seconds:
- - Accuracy: 0.7280
- - Precision: 0.8435
- - Recall: 0.7337
- - F1 Score: 0.7848 
- 
+ - Accuracy: 0.8080
+ - Precision: 0.9353
+ - Recall: 0.7692
+ - F1 Score: 0.8442 
 
 Results for chunk size 2 seconds:
- - Accuracy: 0.8120
- - Precision: 0.9013
- - Recall: 0.8107
- - F1 Score: 0.8536 
+ - Accuracy: 0.8560
+ - Precision: 0.9650
+ - Recall: 0.8166
+ - F1 Score: 0.8846 
  
 Results for chunk size 5 seconds:
- - Accuracy: 0.8520
- - Precision: 0.9459
- - Recall: 0.8284
- - F1 Score: 0.8833 
- 
+ - Accuracy: 0.8640
+ - Precision: 0.9856
+ - Recall: 0.8107
+ - F1 Score: 0.8896 
+
 Results for chunk size 10 seconds:
- - Accuracy: 0.8840
- - Precision: 0.9930
- - Recall: 0.8343
- - F1 Score: 0.9068 
+ - Accuracy: 0.8760
+ - Precision: 1.0000
+ - Recall: 0.8166
+ - F1 Score: 0.8990 
  
 Results for full audio samples:
  - Accuracy: 0.8760
- - Precision: 0.9929
- - Recall: 0.8225
- - F1 Score: 0.8997
+ - Precision: 1.0000
+ - Recall: 0.8166
+ - F1 Score: 0.8990