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cysecbert-sentence-ttp_classifi
CaffeineThief/cysecbert-sentence-ttp_classifi
cysecbert-sentence-ttp_classifi is a text classification model from CaffeineThief. 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
- Jan 15, 2026
- Updated
- Jan 15, 2026
- SHA
- 44187dca
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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. -->
cysecbert-sentence-ttp_classifi
This model is a fine-tuned version of markusbayer/CySecBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0150
- F1 Micro: 0.9963
- F1 Macro: 0.9960
- Precision: 0.9968
- Recall: 0.9959
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: 16
- eval_batch_size: 16
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.1078 | 1.0 | 864 | 0.0776 | 0.9919 | 0.9912 | 0.9942 | 0.9895 |
| 0.0434 | 2.0 | 1728 | 0.0301 | 0.9953 | 0.9949 | 0.9962 | 0.9944 |
| 0.0228 | 3.0 | 2592 | 0.0199 | 0.9964 | 0.9961 | 0.9969 | 0.9959 |
| 0.0149 | 4.0 | 3456 | 0.0164 | 0.9962 | 0.9959 | 0.9969 | 0.9955 |
| 0.0126 | 5.0 | 4320 | 0.0150 | 0.9963 | 0.9960 | 0.9968 | 0.9959 |
Framework versions
- Transformers 4.57.5
- Pytorch 2.2.0
- Datasets 4.5.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 15, 2026
- Updated
- Jan 15, 2026