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README.md
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Keep in mind that this model is trained using certain data which may cause bias in the emotion classification process. Therefore, it is important to consider and account for such biases when using this model.
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### Evaluation Results
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* Average loss from Cross-Validation 0.11578517705202103
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Keep in mind that this model is trained using certain data which may cause bias in the emotion classification process. Therefore, it is important to consider and account for such biases when using this model.
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### Evaluation Results
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The training was conducted using a 5-fold cross-validation k-fold technique. The data is divided into five equal parts in this process, and the model is trained and tested repeatedly. Each time, four parts are used for training, and one part is used for testing.
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* Average loss from Cross-Validation 0.11578517705202103
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