---
tags:
- generated_from_trainer
datasets:
- wikipedia-nq
model-index:
- name: extractive_reader_nq
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# extractive_reader_nq

This model was trained from scratch on the wikipedia-nq dataset.

## 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2