readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - gnad10
  metrics:
  - f1
  model-index:
  - name: my_awesome_model
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: gnad10
        type: gnad10
        config: default
        split: test
        args: default
      metrics:
      - name: F1
        type: f1
        value: 0.9001230044993416
  ---
  
  <!-- 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. -->
  
  # my_awesome_model
  
  This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on the gnad10 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3414
  - F1: 0.9001
  
  ## 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: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.5884        | 1.0   | 578  | 0.3510          | 0.8940 |
  | 0.2389        | 2.0   | 1156 | 0.3414          | 0.9001 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 2.0.0.dev20230126+cu117
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  