--- datasets: - sentiment140 metrics: - f1 license: apache-2.0 language: - en pipeline_tag: text-classification tags: - twitter - depression - sentiment140 --- # Model Card for Model ID jasmeeetsingh/twitter-depression-classification-sentiment140 is a deep learning model trained to classify whether a given tweet is related to depression or not. The model is based on a transformer architecture and fine-tuned on a large corpus of tweets annotated as depressive or non-depressive. ## Model Details ### Model Description - **Developed by:** Jasmeet Singh Sandhu - **Finetuned from model:** paulagarciaserrano/roberta-depression-detection ## Uses The model is intended to be used to classify tweets automatically as depressive or non-depressive. It can be used to analyze large volumes of tweets and identify users who may be at risk of depression, as well as to monitor the prevalence of depression-related discussions on social media platforms. ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation #### Metrics ## Technical Specifications Model was trained on a 6GB RTX 3060