---
base_model: HooshvareLab/bert-base-parsbert-uncased
tags:
- bert
- classification
- parsbert
- persian
- persain_classification
model-index:
- name: bert_classification_persian_emotion
  results: []
license: apache-2.0
language:
- fa
metrics:
- accuracy
pipeline_tag: text-classification
datasets:
- SeyedAli/Persian-Text-Emotion
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_classification_persian_emotion

This model is a fine-tuned version of [HooshvareLab/bert-base-parsbert-uncased](https://huggingface.co./HooshvareLab/bert-base-parsbert-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3678

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3557        | 1.0   | 348  | 1.1649          |
| 0.4685        | 2.0   | 696  | 0.4005          |
| 0.2652        | 3.0   | 1044 | 0.3678          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1