--- license: mit tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: bert-base-combined-large results: [] --- # bert-base-combined-large This model is a fine-tuned version of [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.3029 - Accuracy: 0.8940 - F1: 0.8956 ## 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: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | 0.2668 | 1.0 | 3077 | 0.2812 | 0.8931 | 0.8915 | | 0.2042 | 2.0 | 6154 | 0.2675 | 0.8952 | 0.8950 | | 0.1453 | 3.0 | 9231 | 0.3029 | 0.8940 | 0.8956 | ### Framework versions - Transformers 4.21.2 - Pytorch 1.12.1+cu102 - Datasets 2.4.0 - Tokenizers 0.12.1