Model Card for Model ID
using ParsBert for emotion text classification in persian dataSet
Model Description
This model is designed to emotion text classification in persian dataSet, which uses the pre-trained model ParsBert in persian language.
- Model type: pars-bert.
- Language(s) (NLP): persian.
Training Details
Training Data
this model train with 5558 text from SeyedAli/Persian-Text-Emotion dataSet
Training Hyperparameters
- Number of Epochs: 5
- Training Batch Size: 16
- evaluation Batch Size: 16
Testing Data, Factors & Metrics
Testing Data
this model test with 1399 text from SeyedAli/Persian-Text-Emotion dataSet with 6 class
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Inference Providers
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the model is not deployed on the HF Inference API.