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fyp-electra-xss-detector-v3 – AI Model by syedalvi | AlphaNeural AI
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syedalvi
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fyp-electra-xss-detector-v3
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transformers
safetensors
electra
text-classification
generated_from_trainer
google/electra-base-discriminator
finetune
apache-2.0
endpoints_compatible
us
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fyp-electra-xss-detector-v3
This model is a fine-tuned version of
google/electra-base-discriminator
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0180
Accuracy: 0.9975
Precision: 1.0
Recall: 0.9951
F1: 0.9975
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: 16
eval_batch_size: 32
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
lr_scheduler_warmup_steps: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.0170
1.0
225
0.0172
0.9975
1.0
0.9951
0.9975
0.0438
2.0
450
0.0174
0.9975
1.0
0.9951
0.9975
0.0048
3.0
675
0.0180
0.9975
1.0
0.9951
0.9975
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
