readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: closure_system_door_inne-bert-base-uncased
    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. -->
  
  # closure_system_door_inne-bert-base-uncased
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.7907
  
  ## 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: 7
  - eval_batch_size: 7
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.7321        | 1.0   | 2    | 2.5801          |
  | 2.6039        | 2.0   | 4    | 2.0081          |
  | 2.4556        | 3.0   | 6    | 2.3329          |
  | 2.3587        | 4.0   | 8    | 2.4156          |
  | 2.2565        | 5.0   | 10   | 2.0009          |
  | 2.3489        | 6.0   | 12   | 1.7774          |
  | 2.2622        | 7.0   | 14   | 2.2064          |
  | 2.415         | 8.0   | 16   | 1.9671          |
  | 2.1873        | 9.0   | 18   | 2.0729          |
  | 2.2377        | 10.0  | 20   | 2.0052          |
  | 2.352         | 11.0  | 22   | 1.9614          |
  | 2.2347        | 12.0  | 24   | 2.2437          |
  | 2.1113        | 13.0  | 26   | 1.7145          |
  | 2.1939        | 14.0  | 28   | 1.5418          |
  | 2.0645        | 15.0  | 30   | 2.1882          |
  | 2.1499        | 16.0  | 32   | 2.0266          |
  | 2.1432        | 17.0  | 34   | 2.3583          |
  | 2.0656        | 18.0  | 36   | 2.3147          |
  | 2.0348        | 19.0  | 38   | 2.2807          |
  | 2.0502        | 20.0  | 40   | 1.7122          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  