---
license: apache-2.0
tags:
- generated_from_trainer
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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3516

## 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
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| No log        | 1.0   | 20415  | 0.2347          |
| No log        | 2.0   | 40830  | 0.2269          |
| 1.885         | 3.0   | 61245  | 0.2441          |
| 1.885         | 4.0   | 81660  | 0.2316          |
| 1.5134        | 5.0   | 102075 | 0.2618          |
| 1.5134        | 6.0   | 122490 | 0.2609          |
| 1.5134        | 7.0   | 142905 | 0.2865          |
| 1.1608        | 8.0   | 163320 | 0.3046          |
| 1.1608        | 9.0   | 183735 | 0.3372          |
| 0.9118        | 10.0  | 204150 | 0.3516          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0
- Datasets 1.18.3
- Tokenizers 0.11.6