PlengP/phishoff-bert-300k

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

• Train Loss: 0.0051
• Train Accuracy: 0.9982
• Epoch: 9

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:

• optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Epoch
0.0979	0.9622	0
0.0504	0.9815	1
0.0305	0.9888	2
0.0186	0.9934	3
0.0122	0.9958	4
0.0097	0.9966	5
0.0074	0.9976	6
0.0062	0.9979	7
0.0053	0.9983	8
0.0051	0.9982	9

Framework versions

• Transformers 4.30.1
• TensorFlow 2.12.0
• Tokenizers 0.13.3