phishing-text-classifier-rubert – AI Model by Aleksandr505 | AlphaNeural AI

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Aleksandr505/
phishing-text-classifier-rubert

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text-classification

generated_from_trainer

DeepPavlov/rubert-base-cased

autotrain_compatible

endpoints_compatible

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phishing-text-classifier-rubert

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

Loss: 0.1152
Accuracy: 0.9805

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5082	1.0	20	0.1823	0.9740
0.1177	2.0	40	0.1661	0.9740
0.0661	3.0	60	0.1516	0.9675
0.0324	4.0	80	0.2572	0.9545
0.0226	5.0	100	0.1258	0.9740
0.0106	6.0	120	0.1704	0.9675
0.0082	7.0	140	0.1230	0.9740
0.0006	8.0	160	0.1432	0.9805
0.0004	9.0	180	0.1249	0.9805
0.0004	10.0	200	0.1152	0.9805

Framework versions

Transformers 4.51.1
Pytorch 2.6.0
Datasets 3.5.0
Tokenizers 0.21.1