--- library_name: transformers license: mit base_model: dbmdz/bert-base-turkish-cased tags: - generated_from_trainer model-index: - name: 06-12-15-37 results: [] --- # 06-12-15-37 This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.2773 - Hate Precision: 0.7778 - Hate Recall: 0.5385 - Hate F1: 0.6364 - Sexual Precision: 0.0 - Sexual Recall: 0.0 - Sexual F1: 0.0 - Threat Precision: 0.0 - Threat Recall: 0.0 - Threat F1: 0.0 - Neutral Precision: 0.8378 - Neutral Recall: 0.9688 - Neutral F1: 0.8986 - Macro Precision: 0.4039 - Macro Recall: 0.3768 - Macro F1: 0.3837 ## 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 | Hate Precision | Hate Recall | Hate F1 | Sexual Precision | Sexual Recall | Sexual F1 | Threat Precision | Threat Recall | Threat F1 | Neutral Precision | Neutral Recall | Neutral F1 | Macro Precision | Macro Recall | Macro F1 | |:-------------:|:------:|:----:|:---------------:|:--------------:|:-----------:|:-------:|:----------------:|:-------------:|:---------:|:----------------:|:-------------:|:---------:|:-----------------:|:--------------:|:----------:|:---------------:|:------------:|:--------:| | 0.6107 | 0.8333 | 10 | 0.4510 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7111 | 1.0 | 0.8312 | 0.1778 | 0.25 | 0.2078 | | 0.4163 | 1.6667 | 20 | 0.3613 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7111 | 1.0 | 0.8312 | 0.1778 | 0.25 | 0.2078 | | 0.3561 | 2.5 | 30 | 0.3459 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7111 | 1.0 | 0.8312 | 0.1778 | 0.25 | 0.2078 | | 0.3446 | 3.3333 | 40 | 0.3395 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7111 | 1.0 | 0.8312 | 0.1778 | 0.25 | 0.2078 | | 0.3002 | 4.1667 | 50 | 0.3270 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7143 | 0.9375 | 0.8108 | 0.1786 | 0.2344 | 0.2027 | | 0.2912 | 5.0 | 60 | 0.3357 | 0.75 | 0.2308 | 0.3529 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7381 | 0.9688 | 0.8378 | 0.3720 | 0.2999 | 0.2977 | | 0.2355 | 5.8333 | 70 | 0.3359 | 0.75 | 0.2308 | 0.3529 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7561 | 0.9688 | 0.8493 | 0.3765 | 0.2999 | 0.3006 | | 0.2017 | 6.6667 | 80 | 0.2989 | 0.6667 | 0.4615 | 0.5455 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8056 | 0.9062 | 0.8529 | 0.3681 | 0.3419 | 0.3496 | | 0.1988 | 7.5 | 90 | 0.2904 | 0.7 | 0.5385 | 0.6087 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8286 | 0.9062 | 0.8657 | 0.3821 | 0.3612 | 0.3686 | | 0.1476 | 8.3333 | 100 | 0.3351 | 0.6667 | 0.1538 | 0.25 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7381 | 0.9688 | 0.8378 | 0.3512 | 0.2806 | 0.2720 | | 0.1846 | 9.1667 | 110 | 0.2774 | 0.7778 | 0.5385 | 0.6364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8333 | 0.9375 | 0.8824 | 0.4028 | 0.3690 | 0.3797 | | 0.1347 | 10.0 | 120 | 0.2773 | 0.7778 | 0.5385 | 0.6364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8378 | 0.9688 | 0.8986 | 0.4039 | 0.3768 | 0.3837 | ### Framework versions - Transformers 4.47.0 - Pytorch 2.5.1+cu124 - Datasets 3.1.0 - Tokenizers 0.21.0