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ukr-roberta-fake-news-detector – AI Model by Yehooor | AlphaNeural AI
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Yehooor
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ukr-roberta-fake-news-detector
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
youscan/ukr-roberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ukr-roberta-fake-news-detector
This model is a fine-tuned version of
youscan/ukr-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0623
Accuracy: 0.9910
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: 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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1116
1.0
277
0.0650
0.9892
0.0003
2.0
554
0.0512
0.9910
0.0002
3.0
831
0.0623
0.9910
Framework versions
Transformers 4.54.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
