---
license: apache-2.0
base_model: makhataei/qa-persian-bert-fa-base-uncased
tags:
- generated_from_trainer
datasets:
- persian_qa
model-index:
- name: qa-persian-bert-fa-base-uncased
  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. -->

# qa-persian-bert-fa-base-uncased

This model is a fine-tuned version of [makhataei/qa-persian-bert-fa-base-uncased](https://huggingface.co./makhataei/qa-persian-bert-fa-base-uncased) on the persian_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7021

## 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: 5e-05
- train_batch_size: 14
- eval_batch_size: 14
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1038        | 1.0   | 644  | 1.9419          |
| 0.8384        | 2.0   | 1288 | 2.3613          |
| 0.5632        | 3.0   | 1932 | 2.3215          |
| 0.2658        | 4.0   | 2576 | 2.9592          |
| 0.1652        | 5.0   | 3220 | 3.2437          |
| 0.1497        | 6.0   | 3864 | 3.7557          |
| 0.0701        | 7.0   | 4508 | 4.0651          |
| 0.0398        | 8.0   | 5152 | 4.5260          |
| 0.0191        | 9.0   | 5796 | 4.7113          |
| 0.013         | 10.0  | 6440 | 4.7021          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0