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BERT-hatespeech-classifier-900k
Dauren-Nur/BERT-hatespeech-classifier-900k
BERT-hatespeech-classifier-900k is a text classification model from Dauren-Nur. 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
- Mar 8, 2025
- Updated
- Mar 8, 2025
- SHA
- 54da97ba
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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. -->
BERT-hatespeech-classifier-900k
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5183
- Accuracy: 0.7498
- F1: 0.7481
- Precision: 0.7507
- Recall: 0.7498
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.5576 | 1.0 | 22519 | 0.5371 | 0.7384 | 0.7366 | 0.7392 | 0.7384 |
| 0.555 | 2.0 | 45038 | 0.5241 | 0.7470 | 0.7457 | 0.7474 | 0.7470 |
| 0.5368 | 3.0 | 67557 | 0.5199 | 0.7488 | 0.7473 | 0.7496 | 0.7488 |
| 0.535 | 4.0 | 90076 | 0.5194 | 0.7484 | 0.7465 | 0.7497 | 0.7484 |
| 0.5457 | 5.0 | 112595 | 0.5183 | 0.7498 | 0.7481 | 0.7507 | 0.7498 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 8, 2025
- Updated
- Mar 8, 2025