turkish_hate_speech2
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset.
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.15.1
- Transformers 4.50.2
- Pytorch 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.0
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Model tree for vanishingradient/turkish_hate_speech2
Base model
google-bert/bert-base-multilingual-cased