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Update README.md

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@@ -6,7 +6,6 @@ Note: This classifier also contains fine-tuned `whisper-small` weights in its st
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  Result of the classifier Rob's human-annotated dataset (`data/voicemail_human_eval.csv`):
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- ```bash
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  Results for chunk size 1 seconds:
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  - Accuracy: 0.7280
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  - Precision: 0.8435
@@ -37,5 +36,4 @@ Results for full audio samples:
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  - Precision: 0.9929
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  - Recall: 0.8225
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  - F1 Score: 0.8997
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- ```
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  Result of the classifier Rob's human-annotated dataset (`data/voicemail_human_eval.csv`):
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  Results for chunk size 1 seconds:
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  - Accuracy: 0.7280
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  - Precision: 0.8435
 
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  - Precision: 0.9929
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  - Recall: 0.8225
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  - F1 Score: 0.8997
 
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