---
license: apache-2.0
base_model: HooshvareLab/bert-fa-base-uncased
tags:
- generated_from_trainer
model-index:
- name: result
  results: []
language:
- fa
datasets:
- SeyedAli/Persian-Text-QA
---

<!-- 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. -->

# result

This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on [SeyedAli/Persian-Text-QA](https://huggingface.co/datasets/SeyedAli/Persian-Text-QA) dataset.
It achieves the following results on the evaluation set:
- Loss: 5.0331

## 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: 3e-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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.3247        | 1.0   | 1126  | 1.7615          |
| 1.4445        | 2.0   | 2252  | 1.8002          |
| 0.7653        | 3.0   | 3378  | 2.0806          |
| 0.4247        | 4.0   | 4504  | 2.6624          |
| 0.2502        | 5.0   | 5630  | 3.2961          |
| 0.168         | 6.0   | 6756  | 3.7767          |
| 0.0809        | 7.0   | 7882  | 4.3288          |
| 0.0544        | 8.0   | 9008  | 4.8516          |
| 0.0398        | 9.0   | 10134 | 4.9091          |
| 0.0102        | 10.0  | 11260 | 5.0331          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3