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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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Dataset used to train Nhoseinnia/parsBERT_text_emotion_classification