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---
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
<!-- Provide a longer summary of what this model is. -->
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 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. -->
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
<!-- This should link to a Dataset Card if possible. -->
this model test with 1399 text from SeyedAli/Persian-Text-Emotion dataSet with 6 class
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