metadata
library_name: transformers
base_model: DeepPavlov/rubert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: learn_hf_phishing_not_phishing_text_classifier_rubert
results: []
learn_hf_phishing_not_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: 0.1041
- Accuracy: 0.9870
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 |
|---|---|---|---|---|
| 0.5787 | 1.0 | 10 | 0.2982 | 0.9610 |
| 0.1417 | 2.0 | 20 | 0.1449 | 0.9610 |
| 0.0454 | 3.0 | 30 | 0.0945 | 0.9870 |
| 0.1515 | 4.0 | 40 | 0.2828 | 0.9610 |
| 0.0611 | 5.0 | 50 | 0.0820 | 0.9870 |
| 0.0018 | 6.0 | 60 | 0.0945 | 0.9870 |
| 0.0033 | 7.0 | 70 | 0.0998 | 0.9870 |
| 0.0006 | 8.0 | 80 | 0.1025 | 0.9870 |
| 0.0005 | 9.0 | 90 | 0.1037 | 0.9870 |
| 0.0004 | 10.0 | 100 | 0.1041 | 0.9870 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1