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# qa_open_domain
This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the [squad_fr](https://huggingface.co/datasets/qwant/squad_fr) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6218

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.8512        | 1.0   | 3829  | 1.7145          |
| 1.543         | 2.0   | 7658  | 1.6075          |
| 1.3907        | 3.0   | 11487 | 1.6218          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2+cpu
- Datasets 2.12.0
- Tokenizers 0.13.2

### Dataset Usage
It used the squad_fr dataset from qwant.
{"language": ["fr"], "license": "mit", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["squad_fr"], "base_model": "camembert-base", "pipeline_tag": "question-answering", "model-index": [{"name": "my_awesome_qa_model", "results": []}]}
transformers pytorch camembert fill-mask generated_from_trainer question-answering fr dataset:squad_fr base_model:camembert-base license:mit autotrain_compatible endpoints_compatible region:us