---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- newsqa
base_model: distilbert-base-uncased
model-index:
- name: distilbert_NewsQA_model
  results: []
---

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

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an the NewsQA dataset. 
So it was specifically trained to answer questions in English news articles.
It achieves the following results on the evaluation set:
- Loss: 1.9481

## 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
- distributed_type: tpu
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.0465        | 1.0   | 6730  | 2.0565          |
| 1.8092        | 2.0   | 13460 | 1.9559          |
| 1.7095        | 3.0   | 20190 | 1.9481          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.12.1+cu102
- Datasets 2.9.0
- Tokenizers 0.13.2