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# qa-persian-distilbert-fa-zwnj-base

This model is a fine-tuned version of [HooshvareLab/distilbert-fa-zwnj-base](https://huggingface.co/HooshvareLab/distilbert-fa-zwnj-base) on the pquad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1780

## 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: 1e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3681        | 1.0   | 2667  | 1.3271          |
| 1.0698        | 2.0   | 5334  | 1.1736          |
| 0.8977        | 3.0   | 8001  | 1.1519          |
| 0.778         | 4.0   | 10668 | 1.1591          |
| 0.7164        | 5.0   | 13335 | 1.1780          |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["pquad"], "base_model": "HooshvareLab/distilbert-fa-zwnj-base", "model-index": [{"name": "qa-persian-distilbert-fa-zwnj-base", "results": []}]}
transformers tensorboard safetensors distilbert question-answering generated_from_trainer dataset:pquad base_model:HooshvareLab/distilbert-fa-zwnj-base license:apache-2.0 endpoints_compatible region:us