---
tags:
- generated_from_trainer
model-index:
- name: hu-covid-fake-news-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# hu-covid-fake-news-classifier

This model is a finetuned version of the (hubert-base-cc)[https://huggingface.co/SZTAKI-HLT/hubert-base-cc] and was finetuned for covid fake news detection in hungarian for the BME MIGT2022 competition.

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.11.0