readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-german-cased-issues-128
    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. -->
  
  # bert-base-german-cased-issues-128
  
  This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1499
  
  ## 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: 5e-05
  - train_batch_size: 64
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 16
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.8524        | 1.0   | 683   | 1.5990          |
  | 1.5355        | 2.0   | 1366  | 1.4480          |
  | 1.426         | 3.0   | 2049  | 1.4062          |
  | 1.3595        | 4.0   | 2732  | 1.3428          |
  | 1.3023        | 5.0   | 3415  | 1.3081          |
  | 1.2683        | 6.0   | 4098  | 1.2390          |
  | 1.2242        | 7.0   | 4781  | 1.2698          |
  | 1.1958        | 8.0   | 5464  | 1.2129          |
  | 1.1663        | 9.0   | 6147  | 1.2080          |
  | 1.1521        | 10.0  | 6830  | 1.2079          |
  | 1.1221        | 11.0  | 7513  | 1.1897          |
  | 1.1027        | 12.0  | 8196  | 1.2222          |
  | 1.095         | 13.0  | 8879  | 1.1721          |
  | 1.078         | 14.0  | 9562  | 1.1910          |
  | 1.0755        | 15.0  | 10245 | 1.1500          |
  | 1.0579        | 16.0  | 10928 | 1.1499          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.9.0+cu111
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  