README.md

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_gemini_v03_randomly
    results: []

basakdemirok/bert-base-turkish-cased-off_detect_gemini_v03_randomly

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: 0.0147
• Validation Loss: 0.5109
• Train F1: 0.6696
• 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': 1420, '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
0.4060	0.3236	0.6357	0
0.1652	0.3516	0.6515	1
0.0451	0.4819	0.6647	2
0.0147	0.5109	0.6696	3

Framework versions

• Transformers 4.41.2
• TensorFlow 2.13.1
• Datasets 2.4.0
• Tokenizers 0.19.1