readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: German-MedBERT-issues-128
    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-MedBERT-issues-128
  
  This model is a fine-tuned version of [smanjil/German-MedBERT](https://huggingface.co/smanjil/German-MedBERT) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1389
  
  ## 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: 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: 16
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.7459        | 1.0   | 1366  | 1.5287          |
  | 1.5029        | 2.0   | 2732  | 1.4383          |
  | 1.3976        | 3.0   | 4098  | 1.3580          |
  | 1.3352        | 4.0   | 5464  | 1.3415          |
  | 1.283         | 5.0   | 6830  | 1.2987          |
  | 1.2386        | 6.0   | 8196  | 1.2441          |
  | 1.1942        | 7.0   | 9562  | 1.2333          |
  | 1.1688        | 8.0   | 10928 | 1.2272          |
  | 1.1395        | 9.0   | 12294 | 1.2182          |
  | 1.1193        | 10.0  | 13660 | 1.1947          |
  | 1.0914        | 11.0  | 15026 | 1.2153          |
  | 1.0705        | 12.0  | 16392 | 1.1912          |
  | 1.0524        | 13.0  | 17758 | 1.1479          |
  | 1.0323        | 14.0  | 19124 | 1.1679          |
  | 1.02          | 15.0  | 20490 | 1.1375          |
  | 1.0164        | 16.0  | 21856 | 1.1389          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.9.0+cu111
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  