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# OnlyPhishGPT2_Suffix_100KP_BFall_fromP_90K_topP_0.75_ratio5

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_phish_95K_top_p_0.75suffix dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0241
- Accuracy: 0.9975
- F1: 0.9726
- Precision: 0.9992
- Recall: 0.9474
- Roc Auc Score: 0.9737
- Tpr At Fpr 0.01: 0.9552

## 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

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc Score | Tpr At Fpr 0.01 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|:---------:|:------:|:-------------:|:---------------:|
| 0.0047        | 1.0   | 35625  | 0.0152          | 0.9974   | 0.9721 | 0.9960    | 0.9494 | 0.9746        | 0.9272          |
| 0.0022        | 2.0   | 71250  | 0.0167          | 0.9974   | 0.9723 | 0.9964    | 0.9494 | 0.9746        | 0.9304          |
| 0.0019        | 3.0   | 106875 | 0.0273          | 0.9968   | 0.9651 | 0.9989    | 0.9334 | 0.9667        | 0.9406          |
| 0.0001        | 4.0   | 142500 | 0.0267          | 0.9975   | 0.9728 | 0.9983    | 0.9486 | 0.9743        | 0.9504          |
| 0.0           | 5.0   | 178125 | 0.0241          | 0.9975   | 0.9726 | 0.9992    | 0.9474 | 0.9737        | 0.9552          |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "model-index": [{"name": "OnlyPhishGPT2_Suffix_100KP_BFall_fromP_90K_topP_0.75_ratio5", "results": []}]}
tensorboard generated_from_trainer license:apache-2.0 region:us
TAGS
#tensorboard #generated_from_trainer #license-apache-2.0 #region-us 

OnlyPhishGPT2\_Suffix\_100KP\_BFall\_fromP\_90K\_topP\_0.75\_ratio5
===================================================================


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\_phish\_95K\_top\_p\_0.75suffix dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0241
* Accuracy: 0.9975
* F1: 0.9726
* Precision: 0.9992
* Recall: 0.9474
* Roc Auc Score: 0.9737
* Tpr At Fpr 0.01: 0.9552


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


### Training results



### Framework versions


* Transformers 4.30.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### 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 ### Training results ### Framework versions


* Transformers 4.30.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
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 ### Training results ### Framework versions


* Transformers 4.30.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3