---
datasets:
- sem_eval_2018_task_1
language:
- ar
metrics:
- accuracy
library_name: transformers
pipeline_tag: text-classification
tags:
- transformers
- emotion
- BERT
---
# 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%