ananttt
/

bert-phishing-classifier_teacher

Text Classification

Generated from Trainer

text-embeddings-inference

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bert-phishing-classifier_teacher

This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4492
Accuracy: 0.841
Auc: 0

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: 0.0002
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Auc
0.5678	1.0	552	0.4492	0.841	0

Framework versions

Transformers 4.45.2
Pytorch 2.0.1+cpu
Datasets 2.14.7
Tokenizers 0.20.0

Downloads last month: 4

Safetensors

Model size

0.1B params

Tensor type

F32

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Model tree for ananttt/bert-phishing-classifier_teacher

Base model

google-bert/bert-base-uncased

Finetuned

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