---
license: apache-2.0
base_model: dadashzadeh/tiny-bert-Sentiment-persian
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tiny-bert-Sentiment-persian
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# tiny-bert-Sentiment-persian

This model is a fine-tuned version of [dadashzadeh/tiny-bert-Sentiment-persian](https://huggingface.co/dadashzadeh/tiny-bert-Sentiment-persian) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7744
- Accuracy: 0.6570

## 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: 2e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8669        | 1.0   | 2384  | 0.8153          | 0.6354   |
| 0.8577        | 2.0   | 4768  | 0.7903          | 0.6523   |
| 0.8537        | 3.0   | 7152  | 0.7873          | 0.6549   |
| 0.8411        | 4.0   | 9536  | 0.7792          | 0.6531   |
| 0.8408        | 5.0   | 11920 | 0.8042          | 0.6397   |
| 0.8432        | 6.0   | 14304 | 0.7744          | 0.6570   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1