--- license: mit datasets: - dair-ai/emotion tags: - text-classification - Emotion Classification language: - en metrics: - accuracy model-index: - name: roberta-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion split: test metrics: - name: Accuracy type: accuracy value: 0.933 --- # Model Card for Model ID ## Model Details ### Model Description - **Developed by:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ## Model Card Authors [optional] [More Information Needed]