readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: bert-base-german-cased-finetuned-subj_v4_5Epoch
    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-subj_v4_5Epoch
  
  This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3180
  - Precision: 0.6640
  - Recall: 0.5985
  - F1: 0.6296
  - Accuracy: 0.8761
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | No log        | 1.0   | 32   | 0.4471          | 0.4951    | 0.1861 | 0.2706 | 0.8145   |
  | No log        | 2.0   | 64   | 0.3823          | 0.6096    | 0.4161 | 0.4946 | 0.8472   |
  | No log        | 3.0   | 96   | 0.3428          | 0.6744    | 0.5292 | 0.5930 | 0.8698   |
  | No log        | 4.0   | 128  | 0.3216          | 0.6571    | 0.5876 | 0.6204 | 0.8730   |
  | No log        | 5.0   | 160  | 0.3180          | 0.6640    | 0.5985 | 0.6296 | 0.8761   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  