---
license: apache-2.0
base_model: makhataei/qa-persian-bert-fa-base-uncased
tags:
- generated_from_trainer
datasets:
- parsinlu_reading_comprehension
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 parsinlu_reading_comprehension dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4907

## 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: 0.0005
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.4237        | 1.0   | 86   | 5.4907          |
| 5.4024        | 2.0   | 172  | 5.4907          |
| 5.4299        | 3.0   | 258  | 5.4907          |
| 5.432         | 4.0   | 344  | 5.4907          |
| 5.4115        | 5.0   | 430  | 5.4907          |
| 5.3933        | 6.0   | 516  | 5.4907          |
| 5.4077        | 7.0   | 602  | 5.4907          |
| 5.3919        | 8.0   | 688  | 5.4907          |
| 5.4018        | 9.0   | 774  | 5.4907          |
| 5.4428        | 10.0  | 860  | 5.4907          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0