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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Dataset used to train NLPclass/parsBERT_text_emotion_classification