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Phishing_Websites_Classifier – AI Model by Jihad2002 | AlphaNeural AI
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Jihad2002
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Phishing_Websites_Classifier
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transformers
tensorboard
safetensors
longformer
text-classification
generated_from_trainer
allenai/longformer-base-4096
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
Files and Versions
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test_trainer
This model is a fine-tuned version of
allenai/longformer-base-4096
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0278
Accuracy: 0.9887
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
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.9774
27
0.0257
0.9864
No log
1.9910
55
0.0483
0.9864
No log
2.9683
82
0.0559
0.9864
No log
3.9095
108
0.0278
0.9887
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1
