--- license: mit base_model: dbmdz/bert-base-turkish-cased tags: - generated_from_trainer metrics: - accuracy model-index: - name: bert-base-turkish-sentiment-analysis results: [] --- # bert-base-turkish-sentiment-analysis 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: 0.2283 - Accuracy: 0.9615 ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.195 | 1.0 | 625 | 0.1521 | 0.9565 | | 0.1095 | 2.0 | 1250 | 0.1770 | 0.9605 | | 0.0619 | 3.0 | 1875 | 0.2225 | 0.9595 | | 0.0188 | 4.0 | 2500 | 0.2283 | 0.9615 |