---
license: apache-2.0
base_model: HooshvareLab/roberta-fa-zwnj-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-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. -->

# bert-base-Sentiment-persian

This model is a fine-tuned version of [HooshvareLab/roberta-fa-zwnj-base](https://huggingface.co./HooshvareLab/roberta-fa-zwnj-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4350
- Accuracy: 0.8298

## 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: 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5814        | 1.0   | 3576  | 0.4350          | 0.8298   |
| 0.433         | 2.0   | 7152  | 0.4646          | 0.8307   |
| 0.313         | 3.0   | 10728 | 0.5334          | 0.8458   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0