readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: 22_12_13_luther_blocks_larger_fp16_20ep
    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. -->
  
  # 22_12_13_luther_blocks_larger_fp16_20ep
  
  This model is a fine-tuned version of [stefan-it/german-gpt2-larger](https://huggingface.co/stefan-it/german-gpt2-larger) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.5847
  - Accuracy: 0.3168
  
  ## 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
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.6   | 50   | 4.6218          | 0.2156   |
  | 8.1175        | 3.22  | 100  | 4.0404          | 0.2633   |
  | 8.1175        | 4.83  | 150  | 3.8120          | 0.2871   |
  | 3.734         | 6.44  | 200  | 3.7062          | 0.2997   |
  | 3.734         | 8.06  | 250  | 3.6382          | 0.3082   |
  | 3.3639        | 9.67  | 300  | 3.6108          | 0.3128   |
  | 3.3639        | 11.29 | 350  | 3.6012          | 0.3148   |
  | 3.1363        | 12.89 | 400  | 3.5847          | 0.3168   |
  | 3.1363        | 14.51 | 450  | 3.5914          | 0.3180   |
  | 2.9884        | 16.13 | 500  | 3.5954          | 0.3177   |
  | 2.9884        | 17.73 | 550  | 3.6001          | 0.3176   |
  | 2.8748        | 19.35 | 600  | 3.6048          | 0.3188   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0
  - Datasets 2.7.1
  - Tokenizers 0.12.1
  