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Bert_Fake_News_Classification

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metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_trainer
model-index:
  - name: Bert_Fake_News_Classification
    results: []
datasets:
  - ErfanMoosaviMonazzah/fake-news-detection-dataset-English
language:
  - en

Bert_Fake_News_Classification

This model is a fine-tuned version of bert-base-cased on ErfanMoosaviMonazzah/fake-news-detection-dataset-English dataset.

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: 0.0002
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.0
  • Tokenizers 0.21.0