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dga-classification-oversampling
victoriamgdln/dga-classification-oversampling
dga-classification-oversampling 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 3, 2024
- Updated
- Nov 3, 2024
- SHA
- 57499113
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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-classification-oversampling
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: 0.4330
- Accuracy: 0.8121
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: 128
- eval_batch_size: 5
- seed: 42
- optimizer: Use 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3142 | 1.0 | 2201 | 0.3319 | 0.7973 |
| 0.2829 | 2.0 | 4402 | 0.3356 | 0.7980 |
| 0.2537 | 3.0 | 6603 | 0.3771 | 0.8062 |
| 0.2338 | 4.0 | 8804 | 0.3969 | 0.8097 |
| 0.2187 | 5.0 | 11005 | 0.4330 | 0.8121 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.2.2
- Datasets 3.1.0
- Tokenizers 0.20.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 3, 2024
- Updated
- Nov 3, 2024