---
license: apache-2.0
base_model: philschmid/tiny-bert-sst2-distilled
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 [philschmid/tiny-bert-sst2-distilled](https://huggingface.co/philschmid/tiny-bert-sst2-distilled) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8137
- Accuracy: 0.6423

## 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-08
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8627        | 1.0   | 3576  | 0.8142          | 0.6410   |
| 0.8555        | 2.0   | 7152  | 0.8140          | 0.6415   |
| 0.874         | 3.0   | 10728 | 0.8138          | 0.6419   |
| 0.8566        | 4.0   | 14304 | 0.8137          | 0.6423   |
| 0.8739        | 5.0   | 17880 | 0.8137          | 0.6423   |
| 0.8917        | 6.0   | 21456 | 0.8138          | 0.6432   |
| 0.866         | 7.0   | 25032 | 0.8137          | 0.6432   |
| 0.8613        | 8.0   | 28608 | 0.8137          | 0.6432   |
| 0.875         | 9.0   | 32184 | 0.8137          | 0.6441   |
| 0.8838        | 10.0  | 35760 | 0.8137          | 0.6441   |
| 0.8682        | 11.0  | 39336 | 0.8137          | 0.6441   |
| 0.8736        | 12.0  | 42912 | 0.8137          | 0.6441   |


### Framework versions

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