readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - f1
  widget:
  - text: "11004RLT790AG01BS01"
  - text: "11004RLT615AB01BM06"
  - text: "12064RLT606KL02RM01"
  - text: "11004RLT722VA01AS01"
  - text: "Abl. Anl. 15 Aufzugm."
  model-index:
  - name: Klassifizierung-RLT
    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. -->
  
  # Klassifizierung-RLT
  
  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: 0.0616
  - F1: 0.9852
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.828         | 1.0   | 292  | 0.2156          | 0.9447 |
  | 0.1491        | 2.0   | 584  | 0.0832          | 0.9805 |
  | 0.0695        | 3.0   | 876  | 0.0616          | 0.9852 |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  