metadata
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
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]
Evaluation
Jaccard accuracy is the main eval metric and the model achieved 56.12%