---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: covid_miss_information_classification
  results: []
---

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

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0004
- Accuracy: 0.9999

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0158        | 1.0   | 722  | 0.0157          | 0.9968   |
| 0.0097        | 2.0   | 1444 | 0.0014          | 0.9996   |
| 0.0024        | 3.0   | 2166 | 0.0001          | 1.0      |
| 0.0032        | 4.0   | 2888 | 0.0004          | 0.9999   |
| 0.0           | 5.0   | 3610 | 0.0004          | 0.9999   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3