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README.md
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@@ -28,12 +28,6 @@ This repository contains a DeBERTa v3 base model fine-tuned for emotion classifi
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- Number of labels: 6
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- Training environment: Google Colab
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## Reported metrics
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| Epoch | Training Loss | Validation Loss | Accuracy |
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|-------|---------------:|-----------------:|---------:|
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| 1 | 0.241200 | 0.249670 | 0.925000 |
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| 2 | 0.127800 | 0.176021 | 0.937500 |
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## intended use
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This model is intended to support emotion classification tasks. It may produce incorrect or biased outputs when used on out-of-distribution text, long-form inputs, or languages it was not trained on. Use a confidence-based fallback for important decisions and include human review for high-stakes applications.
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- Number of labels: 6
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- Training environment: Google Colab
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## intended use
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This model is intended to support emotion classification tasks. It may produce incorrect or biased outputs when used on out-of-distribution text, long-form inputs, or languages it was not trained on. Use a confidence-based fallback for important decisions and include human review for high-stakes applications.
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