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## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8.0

### Training results



### Framework versions

- Transformers 4.33.3
- Pytorch 1.12.1+cu116
- Datasets 2.14.5
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "datasets": ["squad"], "base_model": "savasy/bert-base-turkish-squad", "model-index": [{"name": "debug_squad", "results": []}]}
transformers pytorch bert question-answering generated_from_trainer dataset:squad base_model:savasy/bert-base-turkish-squad endpoints_compatible region:us