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urlbert_results – AI Model by peeyush01 | AlphaNeural AI
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urlbert_results
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transformers
safetensors
bert
text-classification
generated_from_trainer
CrabInHoney/urlbert-tiny-v4-phishing-classifier
finetune
apache-2.0
endpoints_compatible
us
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urlbert_results
This model is a fine-tuned version of
CrabInHoney/urlbert-tiny-v4-phishing-classifier
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0735
Accuracy: 0.9886
F1: 0.9744
Precision: 0.9823
Recall: 0.9667
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: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.0451
1.0
6023
0.0791
0.9876
0.9721
0.9851
0.9595
0.0401
2.0
12046
0.0733
0.9885
0.9743
0.9820
0.9668
0.0427
3.0
18069
0.0735
0.9886
0.9744
0.9823
0.9667
Framework versions
Transformers 5.2.0
Pytorch 2.10.0+cu126
Datasets 4.5.0
Tokenizers 0.22.2
