---
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: 0.6615
- Accuracy: 0.7421

## 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: 10
- eval_batch_size: 25
- seed: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6731        | 1.0   | 2861  | 0.6896          | 0.7119   |
| 0.6829        | 2.0   | 5722  | 0.7134          | 0.7002   |
| 0.6748        | 3.0   | 8583  | 0.6781          | 0.7287   |
| 0.6585        | 4.0   | 11444 | 0.6637          | 0.7343   |
| 0.6477        | 5.0   | 14305 | 0.6524          | 0.7317   |
| 0.6697        | 6.0   | 17166 | 0.6429          | 0.7421   |
| 0.6504        | 7.0   | 20027 | 0.6455          | 0.7417   |
| 0.6296        | 8.0   | 22888 | 0.6559          | 0.7369   |
| 0.647         | 9.0   | 25749 | 0.6528          | 0.7430   |
| 0.6453        | 10.0  | 28610 | 0.6600          | 0.7421   |
| 0.6523        | 11.0  | 31471 | 0.6489          | 0.7490   |
| 0.6281        | 12.0  | 34332 | 0.6615          | 0.7421   |


### Framework versions

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