---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- natural_questions
model-index:
- name: distilbert-base-uncased-finetuned-natural-questions
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-natural-questions

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the natural_questions dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3083

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.0532        | 1.0   | 5104  | 0.2393          |
| 1.8912        | 2.0   | 10208 | 0.2284          |
| 1.7854        | 3.0   | 15312 | 0.2357          |
| 1.6856        | 4.0   | 20416 | 0.2487          |
| 1.5918        | 5.0   | 25520 | 0.2743          |
| 1.5067        | 6.0   | 30624 | 0.2586          |
| 1.4323        | 7.0   | 35728 | 0.2763          |
| 1.365         | 8.0   | 40832 | 0.2753          |
| 1.3162        | 9.0   | 45936 | 0.3200          |
| 1.281         | 10.0  | 51040 | 0.3083          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0
- Datasets 1.18.4
- Tokenizers 0.11.6