Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.39284127950668335
f1: 0.91
precision: 0.8921568627450981
recall: 0.9285714285714286
auc: 0.957133746355685
accuracy: 0.8831168831168831
Fine-tuned from
cardiffnlp/twitter-roberta-base-sentiment-latest
Trained on
Twitter_Non-Ads from the paper "Stress Detection from Social Media Articles: New Dataset Benchmark and Analytical Study" - 2022 International Joint Conference on Neural Networks (IJCNN)
All credit relating to the dataset goes to authors Aryan Rastogi; Qian Liu; Erik Cambria
Access to dataset: https://github.com/aryan-r22/Stress-Detection_Social-Media-Articles/tree/main
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