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Personality_LM

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KevSun commited on Jun 16, 2024

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@@ -8,7 +8,7 @@ The accuracy reaches 79%, and F1 score is 78%. Both are much higher than the sim
 Due to the fact that the output values are continuous, it is better to use mean squared errors or mean absolute error to evaluate the model's performance.
 When both metrics are smaller, it indciates that the model performs better. Our models performance: Overall Mean Squared Error: 0.07532746344804764, Mean Absolute Error: 0.1635677814483642
-Please **cite**: "Wang, R., and Sun, K. 2024. Personality Detection of the Characters in English Fiction" if you use this model.
 The project of predicting human cognition and emotoon, and training details are available at: https://github.com/fivehills/detecting_personality

 Due to the fact that the output values are continuous, it is better to use mean squared errors or mean absolute error to evaluate the model's performance.
 When both metrics are smaller, it indciates that the model performs better. Our models performance: Overall Mean Squared Error: 0.07532746344804764, Mean Absolute Error: 0.1635677814483642
+Please **cite**: "Wang, R., and Sun, K. 2024. Personality Detection Models with Continuous Ouput Values Trained by Mixed Strategies" if you use this model.
 The project of predicting human cognition and emotoon, and training details are available at: https://github.com/fivehills/detecting_personality