readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-uncased-mlm
    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-mlm
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.7425
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.2248        | 1.0   | 38   | 1.9818          |
  | 1.9124        | 2.0   | 76   | 1.8334          |
  | 1.8166        | 3.0   | 114  | 1.7863          |
  | 1.7414        | 4.0   | 152  | 1.9024          |
  | 1.6727        | 5.0   | 190  | 1.7832          |
  | 1.5969        | 6.0   | 228  | 1.8033          |
  | 1.5023        | 7.0   | 266  | 1.5792          |
  | 1.4593        | 8.0   | 304  | 1.7809          |
  | 1.4825        | 9.0   | 342  | 1.6362          |
  | 1.3928        | 10.0  | 380  | 1.6409          |
  | 1.386         | 11.0  | 418  | 1.6855          |
  | 1.3579        | 12.0  | 456  | 1.7348          |
  | 1.2951        | 13.0  | 494  | 1.6956          |
  | 1.3187        | 14.0  | 532  | 1.8408          |
  | 1.3065        | 15.0  | 570  | 1.6207          |
  | 1.3496        | 16.0  | 608  | 1.7425          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  