readme: ---
  license: mit
  tags:
  - generated_from_keras_callback
  model-index:
  - name: W4nkel/electraTrain
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # W4nkel/electraTrain
  
  This model is a fine-tuned version of [dbmdz/electra-base-turkish-cased-discriminator](https://huggingface.co/dbmdz/electra-base-turkish-cased-discriminator) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.1222
  - Validation Loss: 0.2217
  - Train Accuracy: 0.9258
  - Epoch: 2
  
  ## 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': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1495, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 Accuracy | Epoch |
  |:----------:|:---------------:|:--------------:|:-----:|
  | 0.4610     | 0.2223          | 0.9233         | 0     |
  | 0.2008     | 0.2007          | 0.9283         | 1     |
  | 0.1222     | 0.2217          | 0.9258         | 2     |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - TensorFlow 2.11.0
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  