README.md

---
library_name: transformers
license: apache-2.0
base_model: HooshvareLab/bert-fa-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-fa-base-uncased-finetuned-DS_Q_N_C_QA-topAug0.95
  results: []
datasets:
- Z-Jafari/PersianQuAD
- Z-Jafari/DS_Q_N_C_QA
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-fa-base-uncased-finetuned-DS_Q_N_C_QA-topAug0.95

This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2418
- {'exact_match': 76.9, 'f1': 80.90408674324868}

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7683        | 1.0   | 1911 | 0.9822          |
| 0.4363        | 2.0   | 3822 | 1.0873          |
| 0.2444        | 3.0   | 5733 | 1.2418          |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1