metadata
license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
- generated_from_keras_callback
model-index:
- name: basakdemirok/bert-base-turkish-cased-off_detect_v0random_seed42
results: []
basakdemirok/bert-base-turkish-cased-off_detect_v0random_seed42
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:
- Train Loss: 0.0154
- Validation Loss: 0.6323
- Train F1: 0.6613
- Epoch: 3
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:
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 14984, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Validation Loss | Train F1 | Epoch |
---|---|---|---|
0.2822 | 0.2707 | 0.7011 | 0 |
0.1318 | 0.3352 | 0.7138 | 1 |
0.0419 | 0.5415 | 0.6709 | 2 |
0.0154 | 0.6323 | 0.6613 | 3 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.13.1
- Datasets 2.4.0
- Tokenizers 0.13.3