readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: german-poetry-xlm-roberta
    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. -->
  
  # german-poetry-xlm-roberta
  
  This model is a fine-tuned version of [xlm-roberta-large-finetuned-conll03-german](https://huggingface.co/xlm-roberta-large-finetuned-conll03-german) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.8672
  
  ## 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: 32
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.1984        | 1.0   | 2774  | 2.8507          |
  | 2.7279        | 2.0   | 5548  | 2.5140          |
  | 2.5236        | 3.0   | 8322  | 2.3583          |
  | 2.4115        | 4.0   | 11096 | 2.2371          |
  | 2.2953        | 5.0   | 13870 | 2.1773          |
  | 2.2179        | 6.0   | 16644 | 2.1217          |
  | 2.1652        | 7.0   | 19418 | 2.0483          |
  | 2.1023        | 8.0   | 22192 | 2.0003          |
  | 2.0532        | 9.0   | 24966 | 1.9961          |
  | 2.0153        | 10.0  | 27740 | 1.9626          |
  | 1.9657        | 11.0  | 30514 | 1.9310          |
  | 1.9456        | 12.0  | 33288 | 1.9065          |
  | 1.919         | 13.0  | 36062 | 1.8906          |
  | 1.9077        | 14.0  | 38836 | 1.8712          |
  | 1.9048        | 15.0  | 41610 | 1.8672          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  