turkish-sentiment-analysis-bert-base-turkish-uncased
This model is a fine-tuned version of dbmdz/bert-base-turkish-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0469
- Train Accuracy: 0.9862
- Validation Loss: 0.2119
- Validation Accuracy: 0.9417
- Epoch: 2
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
---|---|---|---|---|
0.2982 | 0.8846 | 0.1887 | 0.9267 | 0 |
0.1348 | 0.9502 | 0.2172 | 0.9233 | 1 |
0.0469 | 0.9862 | 0.2119 | 0.9417 | 2 |
Framework versions
- Transformers 4.33.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
dbmdz/bert-base-turkish-uncased