metadata
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 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 |