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distilbert-base-uncased-finetuned-URL – AI Model by semihGuner2002 | AlphaNeural AI
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semihGuner2002
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distilbert-base-uncased-finetuned-URL
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transformers
tf
tensorboard
distilbert
text-classification
generated_from_keras_callback
semihGuner2002/PhishingURLsDataset
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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semihGuner2002/distilbert-base-uncased-finetuned-URL
This model is a fine-tuned version of
distilbert-base-uncased
on
my own phishing URL dataset
. It achieves the following results on the evaluation set:
Train Loss: 0.0065
Validation Loss: 0.0589
Epoch: 4
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:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.0733
0.0372
0
0.0339
0.0487
1
0.0191
0.0379
2
0.0103
0.0441
3
0.0065
0.0589
4
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.0
