---
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: 1.1799
- Accuracy: 0.7313

## 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: 1
- eval_batch_size: 1
- seed: 45
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 1.3201        | 1.0   | 28602  | 1.1799          | 0.7313   |
| 1.1258        | 2.0   | 57204  | 1.3399          | 0.7205   |
| 1.19          | 3.0   | 85806  | 1.2192          | 0.7516   |
| 1.1178        | 4.0   | 114408 | 1.2138          | 0.7594   |
| 1.1292        | 5.0   | 143010 | 1.2117          | 0.7611   |
| 1.0537        | 6.0   | 171612 | 1.3268          | 0.7413   |
| 1.0113        | 7.0   | 200214 | 1.3229          | 0.7460   |
| 1.1022        | 8.0   | 228816 | 1.2681          | 0.7525   |


### Framework versions

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