metadata
base_model: google-bert/bert-base-uncased
library_name: transformers
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
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: 0.3027
- Accuracy: 0.869
- Auc: 0.95
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
|---|---|---|---|---|---|
| 0.4989 | 1.0 | 263 | 0.3952 | 0.798 | 0.913 |
| 0.3791 | 2.0 | 526 | 0.3593 | 0.824 | 0.932 |
| 0.3689 | 3.0 | 789 | 0.3076 | 0.867 | 0.942 |
| 0.3466 | 4.0 | 1052 | 0.3502 | 0.849 | 0.944 |
| 0.3506 | 5.0 | 1315 | 0.3051 | 0.858 | 0.946 |
| 0.3298 | 6.0 | 1578 | 0.3215 | 0.858 | 0.948 |
| 0.3224 | 7.0 | 1841 | 0.2880 | 0.862 | 0.95 |
| 0.3082 | 8.0 | 2104 | 0.2869 | 0.871 | 0.95 |
| 0.34 | 9.0 | 2367 | 0.2890 | 0.862 | 0.95 |
| 0.3099 | 10.0 | 2630 | 0.3027 | 0.869 | 0.95 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0