Update README.md
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README.md
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@@ -36,10 +36,9 @@ Model Details: This model was fine-tuned on an email dataset with the following
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Base Model: DistilBERT (base-uncased)
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Training Dataset: Synthetic dataset of categorized emails across 6 intent categories
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Limitations
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Very short or ambiguous emails may be classified with lower confidence
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Emails with multiple intents may be classified based on the dominant intent
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Deployment
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This application is deployed using Hugging Face Spaces with Gradio. The model weights are stored in the Hugging Face Model Hub.
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| 36 |
Base Model: DistilBERT (base-uncased)
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| 37 |
Training Dataset: Synthetic dataset of categorized emails across 6 intent categories
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| 38 |
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| 39 |
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Limitations:
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| 40 |
Very short or ambiguous emails may be classified with lower confidence
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| 41 |
Emails with multiple intents may be classified based on the dominant intent
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| 42 |
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| 43 |
+
Deployment:
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| 44 |
This application is deployed using Hugging Face Spaces with Gradio. The model weights are stored in the Hugging Face Model Hub.
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