---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert_squad_newsqa
  results: []
datasets:
- newsqa
---

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

This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the NewsQA dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6247

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.7181        | 1.0   | 6730  | 1.6477          |
| 1.4932        | 2.0   | 13460 | 1.6274          |
| 1.4426        | 3.0   | 20190 | 1.6247          |


### Framework versions

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