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--- |
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library_name: transformers |
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license: mit |
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datasets: |
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- SeyedAli/Persian-Text-Emotion |
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language: |
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- fa |
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pipeline_tag: text-classification |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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using ParsBert for emotion text classification in persian dataSet |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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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. |
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- **Model type:** pars-bert. |
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- **Language(s) (NLP):** persian. |
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## Training Details |
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### Training Data |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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this model train with 5558 text from SeyedAli/Persian-Text-Emotion dataSet |
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#### Training Hyperparameters |
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- **Number of Epochs:** 5 <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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- **Training Batch Size:** 16 |
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- **evaluation Batch Size:** 16 |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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<!-- This should link to a Dataset Card if possible. --> |
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this model test with 1399 text from SeyedAli/Persian-Text-Emotion dataSet with 6 class |
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