
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Onlyphish_100KP_BFall_fromB_10KGen_topP_0.75_noaddedB

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the Train benign: Fall,Test Benign: Fall, Train phish: Fall, Test phish: Fall, generated url dataset: generated_phish_OnlyPhishGPT2_using_benign_40K_top_p_0.75 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0191
- Accuracy: 0.9973
- F1: 0.9705
- Precision: 0.9989
- Recall: 0.9436
- Roc Auc Score: 0.9718
- Tpr At Fpr 0.01: 0.9566

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc Score | Tpr At Fpr 0.01 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|:---------:|:------:|:-------------:|:---------------:|
| 0.0034        | 1.0   | 65938  | 0.0158          | 0.9972   | 0.9704 | 0.9912    | 0.9504 | 0.9750        | 0.0336          |
| 0.0028        | 2.0   | 131876 | 0.0288          | 0.9967   | 0.9641 | 0.9994    | 0.9312 | 0.9656        | 0.9374          |
| 0.002         | 3.0   | 197814 | 0.0186          | 0.9965   | 0.9616 | 0.9989    | 0.927  | 0.9635        | 0.942           |
| 0.0008        | 4.0   | 263752 | 0.0232          | 0.9970   | 0.9676 | 0.9989    | 0.9382 | 0.9691        | 0.9508          |
| 0.0002        | 5.0   | 329690 | 0.0191          | 0.9973   | 0.9705 | 0.9989    | 0.9436 | 0.9718        | 0.9566          |


### Framework versions

- Transformers 4.29.1
- Pytorch 1.9.0+cu111
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "model-index": [{"name": "Onlyphish_100KP_BFall_fromB_10KGen_topP_0.75_noaddedB", "results": []}]}
tensorboard generated_from_trainer license:apache-2.0 region:us
TAGS
#tensorboard #generated_from_trainer #license-apache-2.0 #region-us 

Onlyphish\_100KP\_BFall\_fromB\_10KGen\_topP\_0.75\_noaddedB
============================================================


This model is a fine-tuned version of bert-base-uncased on the Train benign: Fall,Test Benign: Fall, Train phish: Fall, Test phish: Fall, generated url dataset: generated\_phish\_OnlyPhishGPT2\_using\_benign\_40K\_top\_p\_0.75 dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0191
* Accuracy: 0.9973
* F1: 0.9705
* Precision: 0.9989
* Recall: 0.9436
* Roc Auc Score: 0.9718
* Tpr At Fpr 0.01: 0.9566


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: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5.0
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.29.1
* Pytorch 1.9.0+cu111
* Datasets 2.10.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5.0
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.29.1
* Pytorch 1.9.0+cu111
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#tensorboard #generated_from_trainer #license-apache-2.0 #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5.0
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.29.1
* Pytorch 1.9.0+cu111
* Datasets 2.10.1
* Tokenizers 0.13.2