turkish-case-classifier

This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.1595

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 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	3	2.2736
No log	2.0	6	2.2883
No log	3.0	9	2.2578
No log	4.0	12	2.2235
No log	5.0	15	2.2047
No log	6.0	18	2.1906
No log	7.0	21	2.1771
No log	8.0	24	2.1677
No log	9.0	27	2.1624
No log	10.0	30	2.1595

Framework versions

• Transformers 4.48.0
• Pytorch 2.7.0
• Datasets 3.2.0
• Tokenizers 0.21.1