readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: Facebook_Mit_HPS_5_Epoch
    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. -->
  
  # Facebook_Mit_HPS_5_Epoch
  
  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: 0.4774
  - Accuracy: 0.9315
  
  ## 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: 5.546392051994155e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 5
  - 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 | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 292  | 0.2181          | 0.9264   |
  | 0.2411        | 2.0   | 584  | 0.2571          | 0.9289   |
  | 0.2411        | 3.0   | 876  | 0.5712          | 0.8947   |
  | 0.0558        | 4.0   | 1168 | 0.4675          | 0.9332   |
  | 0.0558        | 5.0   | 1460 | 0.4774          | 0.9315   |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  