https://github.com/sayamalt/mental-health-classification-using-fine-tuned-distilbert

Successfully established a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify several distinct types of mental health statuses such as anxiety, stress, personality disorder, etc. with an accuracy of 77%.

data-visualization deep-learning distilbert-fine-tuning distilbert-model model-evaluation model-inference model-training-and-evaluation multiclass-text-classification natural-language-processing text-classification text-preprocessing text-tokenization

Last synced: 24 Feb 2025