parsBERT_text_emotion_classification

Model Card for Model ID

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using ParsBert for emotion text classification in persian dataSet

Model Description

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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

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this model train with 5558 text from SeyedAli/Persian-Text-Emotion dataSet

Training Hyperparameters

• Number of Epochs: 5 <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
• Training Batch Size: 16
• evaluation Batch Size: 16

Testing Data, Factors & Metrics

Testing Data

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this model test with 1399 text from SeyedAli/Persian-Text-Emotion dataSet with 6 class