---
library_name: transformers
license: mit
datasets:
- SeyedAli/Persian-Text-Emotion
language:
- fa
pipeline_tag: text-classification
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
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