--- library_name: transformers license: mit base_model: TURKCELL/roberta-base-turkish-uncased tags: - generated_from_trainer model-index: - name: hukukAi results: [] --- # hukukAi This model is a fine-tuned version of [TURKCELL/roberta-base-turkish-uncased](https://huggingface.co/TURKCELL/roberta-base-turkish-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 5.7790 ## 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: 4 - eval_batch_size: 4 - 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 | |:-------------:|:-----:|:----:|:---------------:| | 5.1882 | 1.0 | 121 | 5.2448 | | 5.1711 | 2.0 | 242 | 5.3494 | | 5.1571 | 3.0 | 363 | 5.4986 | | 5.1536 | 4.0 | 484 | 5.7790 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.5.1+cpu - Datasets 3.1.0 - Tokenizers 0.20.3