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distilbert-base-uncased-finetuned-fake-or-real-news – AI Model by mikiohat | AlphaNeural AI
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distilbert-base-uncased-finetuned-fake-or-real-news
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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distilbert-base-uncased-finetuned-fake-or-real-news
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1901
F1-score: 0.7669
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: 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: linear
num_epochs: 10
Training results
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
