metadata
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-phishing-classifier_teacher
results: []
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: 0.2993
- Accuracy: 0.869
- Auc: 0.951
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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 | Auc |
|---|---|---|---|---|---|
| 0.4916 | 1.0 | 263 | 0.4186 | 0.782 | 0.912 |
| 0.3907 | 2.0 | 526 | 0.3610 | 0.818 | 0.93 |
| 0.3817 | 3.0 | 789 | 0.3158 | 0.858 | 0.939 |
| 0.3592 | 4.0 | 1052 | 0.4327 | 0.818 | 0.942 |
| 0.351 | 5.0 | 1315 | 0.3253 | 0.869 | 0.946 |
| 0.3537 | 6.0 | 1578 | 0.3029 | 0.871 | 0.948 |
| 0.3211 | 7.0 | 1841 | 0.2918 | 0.86 | 0.949 |
| 0.3286 | 8.0 | 2104 | 0.2980 | 0.873 | 0.949 |
| 0.3136 | 9.0 | 2367 | 0.2902 | 0.862 | 0.95 |
| 0.3057 | 10.0 | 2630 | 0.2993 | 0.869 | 0.951 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.6.0
- Datasets 3.2.0
- Tokenizers 0.21.0