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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbert-base-uncased-finetuned-natural-questions
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# distilbert-base-uncased-finetuned-natural-questions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3516
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:------:|:---------------:|
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| No log | 1.0 | 20415 | 0.2347 |
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| No log | 2.0 | 40830 | 0.2269 |
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| 1.885 | 3.0 | 61245 | 0.2441 |
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| 1.885 | 4.0 | 81660 | 0.2316 |
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| 1.5134 | 5.0 | 102075 | 0.2618 |
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| 1.5134 | 6.0 | 122490 | 0.2609 |
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| 1.5134 | 7.0 | 142905 | 0.2865 |
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| 1.1608 | 8.0 | 163320 | 0.3046 |
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| 1.1608 | 9.0 | 183735 | 0.3372 |
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| 0.9118 | 10.0 | 204150 | 0.3516 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.10.0
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- Datasets 1.18.3
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- Tokenizers 0.11.6
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