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# qa-persian-roberta-fa-zwnj-base

This model is a fine-tuned version of [HooshvareLab/roberta-fa-zwnj-base](https://huggingface.co/HooshvareLab/roberta-fa-zwnj-base) on the pquad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2626

## 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: 18
- eval_batch_size: 18
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2999        | 1.0   | 3556 | 1.2626          |


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