---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- persian_qa
model_index:
- name: bert-fa-QA-v1
  results:
  - task:
      name: Question Answering
      type: question-answering
    dataset:
      name: persian_qa
      type: persian_qa
      args: persian_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. -->

# bert-fa-QA-v1

This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the persian_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4213

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.237         | 1.0   | 1126 | 3.9892          |
| 0.1135        | 2.0   | 2252 | 4.4213          |


### Framework versions

- Transformers 4.9.0
- Pytorch 1.9.0+cu102
- Datasets 1.10.2
- Tokenizers 0.10.3