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# qa-persian-xlmr-large

This model is a fine-tuned version of [m3hrdadfi/xlmr-large-qa-fa](https://huggingface.co/m3hrdadfi/xlmr-large-qa-fa) on the pquad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4953

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0.01

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6966        | 0.01  | 640  | 1.4953          |


### Framework versions

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

{"tags": ["generated_from_trainer"], "datasets": ["pquad"], "base_model": "m3hrdadfi/xlmr-large-qa-fa", "model-index": [{"name": "qa-persian-xlmr-large", "results": []}]}
transformers tensorboard safetensors xlm-roberta question-answering generated_from_trainer dataset:pquad base_model:m3hrdadfi/xlmr-large-qa-fa endpoints_compatible region:us