Hugging Face's logo

DraiP
/
Fake_News_Classifier

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
1
Fake_News_Classifier / README.md
DraiP's picture
DraiP
Update README.md
cca8433 verified
preview code
|
raw
history blame contribute delete
1.08 kB
metadata
tags:
  - generated_from_trainer
model-index:
  - name: Fake_News_Classifier
    results: []
metrics:
  - f1
  - accuracy
  - roc_auc
pipeline_tag: text-classification

NELA-GT_Classifier

This model was Fine-Tuned on a Fake News dataset.

Model description

This is a pretrained distilbert-uncased model finetuned for Fake News classification.

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1500
  • num_epochs: 5

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3