Downloads · 30 days
3
2% of all-time downloads
BERT-cyberbullying-classifier-MLPLeakage
rngrye/BERT-cyberbullying-classifier-MLPLeakage
BERT-cyberbullying-classifier-MLPLeakage is a machine learning model from rngrye. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
197
Public
Parameters
109M
4.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors436 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Dec 11, 2025
- Updated
- Jan 10, 2026
- SHA
- c48d8634
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. -->
BERT-cyberbullying-classifier-MLPLeakage
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2211
- Accuracy: 0.9178
- F1: 0.9167
- Precision: 0.9233
- Recall: 0.9178
- Auc: 0.9676
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: 22002423
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Auc |
|---|---|---|---|---|---|---|---|---|
| 0.2757 | 1.0 | 724 | 0.2328 | 0.9144 | 0.9127 | 0.9243 | 0.9144 | 0.9623 |
| 0.189 | 2.0 | 1448 | 0.2211 | 0.9178 | 0.9167 | 0.9233 | 0.9178 | 0.9676 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 11, 2025
- Updated
- Jan 10, 2026