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Parent(s):
c40b512
added test acc
Browse files
README.md
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@@ -16,7 +16,9 @@ This model fine-tunes DistilBERT for a multi-class emotion classification task.
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## Training and Evaluation
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- Training Dataset: dair-ai/emotion (16,000 examples)
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- Validation Dataset: dair-ai/emotion (2,000 examples)
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- Validation Accuracy: 96.6 %
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- Training Time: 18,078.18s (5h 1m 18s)
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## Hyperparameters
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## Training and Evaluation
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- Training Dataset: dair-ai/emotion (16,000 examples)
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- Validation Dataset: dair-ai/emotion (2,000 examples)
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- Test Dataset: dair-ai/emotion (2,000 examples)
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- Validation Accuracy: 96.6 %
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- Test Accuracy: 93.2 %
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- Training Time: 18,078.18s (5h 1m 18s)
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## Hyperparameters
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