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Bert_Fake_News_Classification – AI Model by mmosko | AlphaNeural AI
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Bert_Fake_News_Classification
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
en
ErfanMoosaviMonazzah/fake-news-detection-dataset-English
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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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
