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phishoff-bert-300k – AI Model by PlengP | AlphaNeural AI
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PlengP
/
phishoff-bert-300k
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transformers
tf
bert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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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
