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  - text: 'You can email me at [email protected] or call directly on 9999988888. The point of contact would be my manager Avisekh Raj'
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  example_title: Email 3
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  ---
 
 
 
 
 
 
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  |Class| Precision | Recall | f1 |
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  |-----|----------|:-------------:|------:|
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  | 1 | 0.98 | 1.00 | 0.91 |
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  | 2 | 0.95 | 0.89 | 0.92 |
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  | 3 | 0.8 | 0.88 | 0.84 |
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- | macro-avg | 0.93 | 0.94 | 0.94 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - text: 'You can email me at [email protected] or call directly on 9999988888. The point of contact would be my manager Avisekh Raj'
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  example_title: Email 3
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  ---
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+ Overview:
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+
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+ The Model is fine-tuned for 3 class + "0" class.
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+ The Dataset is custom annotated and contains 400 texts and the model was trained on the split of 0.76, 0.12, and 0.12.
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+
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+ The validation classification report is as follows:
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  |Class| Precision | Recall | f1 |
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  |-----|----------|:-------------:|------:|
 
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  | 1 | 0.98 | 1.00 | 0.91 |
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  | 2 | 0.95 | 0.89 | 0.92 |
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  | 3 | 0.8 | 0.88 | 0.84 |
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+ | macro-avg | 0.93 | 0.94 | 0.94 |
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+
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+ The test classification report is as follows:
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+
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+ |Class| Precision | Recall | f1 |
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+ |-----|----------|:-------------:|------:|
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+ | 0 | 1.00 | 1.00 | 1.00 |
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+ | 1 | 0.98 | 1.00 | 0.99 |
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+ | 2 | 0.66 | 0.97 | 0.79 |
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+ | 3 | 0.84 | 0.78 | 0.81 |
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+ | macro-avg | 0.87 | 0.94 | 0.90 |
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+
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+ Possible future direction:
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+ 1. Clean data to a good enough format as much as possible.
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+ 2. Increase the data as much as possible. (Make sure to have data that is seen in real-usecase.)