readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: BerTurkBase_15_epoch_v2
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # BerTurkBase_15_epoch_v2
  
  This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0612
  - Accuracy: 0.9931
  
  ## 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:
  - learning_rate: 2e-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: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 50   | 0.5546          | 0.7917   |
  | No log        | 2.0   | 100  | 0.0814          | 0.9792   |
  | No log        | 3.0   | 150  | 0.0494          | 0.9931   |
  | No log        | 4.0   | 200  | 0.0524          | 0.9931   |
  | No log        | 5.0   | 250  | 0.0550          | 0.9931   |
  | No log        | 6.0   | 300  | 0.0560          | 0.9931   |
  | No log        | 7.0   | 350  | 0.0593          | 0.9931   |
  | No log        | 8.0   | 400  | 0.0603          | 0.9931   |
  | No log        | 9.0   | 450  | 0.0592          | 0.9931   |
  | 0.1025        | 10.0  | 500  | 0.0605          | 0.9931   |
  | 0.1025        | 11.0  | 550  | 0.0602          | 0.9931   |
  | 0.1025        | 12.0  | 600  | 0.0601          | 0.9931   |
  | 0.1025        | 13.0  | 650  | 0.0604          | 0.9931   |
  | 0.1025        | 14.0  | 700  | 0.0611          | 0.9931   |
  | 0.1025        | 15.0  | 750  | 0.0612          | 0.9931   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  