readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-uncased-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. -->
  
  # bert-base-uncased-issues-128
  
  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: 1.2314
  
  ## 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: 64
  - eval_batch_size: 16
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.193         | 1.0   | 146  | 1.7004          |
  | 1.7081        | 2.0   | 292  | 1.4895          |
  | 1.5458        | 3.0   | 438  | 1.4427          |
  | 1.4715        | 4.0   | 584  | 1.4081          |
  | 1.3944        | 5.0   | 730  | 1.3163          |
  | 1.3396        | 6.0   | 876  | 1.3200          |
  | 1.2945        | 7.0   | 1022 | 1.2785          |
  | 1.2652        | 8.0   | 1168 | 1.2473          |
  | 1.2332        | 9.0   | 1314 | 1.2321          |
  | 1.2042        | 10.0  | 1460 | 1.2162          |
  | 1.204         | 11.0  | 1606 | 1.1781          |
  | 1.1866        | 12.0  | 1752 | 1.2211          |
  | 1.1592        | 13.0  | 1898 | 1.2801          |
  | 1.1503        | 14.0  | 2044 | 1.1768          |
  | 1.1268        | 15.0  | 2190 | 1.1657          |
  | 1.1521        | 16.0  | 2336 | 1.2314          |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0
  - Datasets 2.2.3.dev0
  - Tokenizers 0.12.1
  