Downloads · 30 days
2
7% of all-time downloads
Onlyphish_10K_fromP_BFall_10KGen_topP_0.75
AustinCarthy/Onlyphish_10K_fromP_BFall_10KGen_topP_0.75
Onlyphish_10K_fromP_BFall_10KGen_topP_0.75 is a text classification model from AustinCarthy. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
28
Public
Repo size
1.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin876 MB · 50%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 18, 2023
- Updated
- May 18, 2023
- SHA
- a4d2ddd2
Try a prompt
Model card
From the Hugging Face model README
<!-- 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_10K_fromP_BFall_10KGen_topP_0.75
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0759
- Accuracy: 0.9929
- F1: 0.9193
- Precision: 1.0
- Recall: 0.8506
- Roc Auc Score: 0.9253
- Tpr At Fpr 0.01: 0.8776
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0055 | 1.0 | 13125 | 0.0436 | 0.9901 | 0.8844 | 0.9933 | 0.797 | 0.8984 | 0.7488 |
| 0.0032 | 2.0 | 26250 | 0.1145 | 0.9853 | 0.8171 | 0.9994 | 0.691 | 0.8455 | 0.756 |
| 0.0025 | 3.0 | 39375 | 0.0705 | 0.9919 | 0.9076 | 0.9978 | 0.8324 | 0.9162 | 0.8332 |
| 0.0018 | 4.0 | 52500 | 0.0848 | 0.9919 | 0.9065 | 0.9998 | 0.8292 | 0.9146 | 0.8506 |
| 0.0008 | 5.0 | 65625 | 0.0759 | 0.9929 | 0.9193 | 1.0 | 0.8506 | 0.9253 | 0.8776 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.9.0+cu111
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 18, 2023
- Updated
- May 18, 2023