Downloads · 30 days
15
27% of all-time downloads
dga-detection-2
victoriamgdln/dga-detection-2
dga-detection-2 is a text classification model from victoriamgdln. 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
55
Public
Parameters
109M
28.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt18.4 GB · 66%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 29, 2024
- Updated
- Oct 29, 2024
- SHA
- b7f10e19
Try a prompt
Base models
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. -->
dga-detection-2
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: 0.5116
- Accuracy: 0.7578
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: 2.837141677326722e-05
- train_batch_size: 8
- eval_batch_size: 64
- seed: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4286 | 1.0 | 16000 | 0.4214 | 0.7428 |
| 0.3746 | 2.0 | 32000 | 0.4456 | 0.7572 |
| 0.3281 | 3.0 | 48000 | 0.5116 | 0.7578 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 29, 2024
- Updated
- Oct 29, 2024