readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-german-cased-finetuned-7labels
    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-finetuned-7labels
  
  This model is a fine-tuned version of [ogimgio/bert-base-german-cased-issues-128](https://huggingface.co/ogimgio/bert-base-german-cased-issues-128) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6844
  - Micro f1: 0.6340
  - Macro f1: 0.6083
  
  ## 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: 3e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: constant
  - num_epochs: 50
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Micro f1 | Macro f1 |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
  | 0.3574        | 1.0   | 1365  | 0.3370          | 0.6242   | 0.5971   |
  | 0.2933        | 2.0   | 2730  | 0.3338          | 0.6385   | 0.6127   |
  | 0.2441        | 3.0   | 4095  | 0.3529          | 0.6153   | 0.5938   |
  | 0.198         | 4.0   | 5460  | 0.3862          | 0.6255   | 0.6017   |
  | 0.158         | 5.0   | 6825  | 0.4100          | 0.6375   | 0.6198   |
  | 0.1251        | 6.0   | 8190  | 0.4531          | 0.6431   | 0.6208   |
  | 0.0993        | 7.0   | 9555  | 0.5136          | 0.6342   | 0.6117   |
  | 0.0784        | 8.0   | 10920 | 0.5632          | 0.6307   | 0.6085   |
  | 0.064         | 9.0   | 12285 | 0.6038          | 0.6273   | 0.6010   |
  | 0.0535        | 10.0  | 13650 | 0.6519          | 0.6338   | 0.6098   |
  | 0.0469        | 11.0  | 15015 | 0.6844          | 0.6340   | 0.6083   |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.8.0
  - Tokenizers 0.12.1
  