results
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0296
- Accuracy: 0.9573
- F1: 0.9591
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.0442 | 1.0 | 4238 | 0.0326 | 0.5051 | 0.6712 |
| 0.0222 | 2.0 | 8476 | 0.0337 | 0.9391 | 0.9425 |
| 0.0127 | 3.0 | 12714 | 0.0303 | 0.5756 | 0.7041 |
| 0.0085 | 4.0 | 16952 | 0.0296 | 0.9573 | 0.9591 |
Framework versions
- Transformers 4.53.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
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Model tree for cakiryusuff/turkish-toxic-comment-classifier
Base model
dbmdz/bert-base-turkish-cased