Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

This model aims at classifying arabic text into its corresponding set of emotions by fine-tuning a variant of BERT pre-trained on arabic twitter data.

Model Sources [optional]

<!-- Provide the basic links for the model. -->

• Repository: https://github.com/TomoyeSaa/Emotion-Detection-for-Arabic-Language

Evaluation

<!-- This section describes the evaluation protocols and provides the results. --> Jaccard accuracy is the main eval metric and the model achieved 56.12%