readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-uncased
    results: []
  ---
  
  
  # bert-base-uncased
  
  This model was trained on a dataset of issues from github.
  It achieves the following results on the evaluation set:
  - Loss: 1.2437
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  Masked language model trained on github issue data with token length of 128.
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 5e-05
  - train_batch_size: 1
  - 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 |
  |:-------------:|:-----:|:------:|:---------------:|
  | 2.205         | 1.0   | 9303   | 1.7893          |
  | 1.8417        | 2.0   | 18606  | 1.7270          |
  | 1.7103        | 3.0   | 27909  | 1.6650          |
  | 1.6014        | 4.0   | 37212  | 1.6052          |
  | 1.523         | 5.0   | 46515  | 1.5782          |
  | 1.4588        | 6.0   | 55818  | 1.4836          |
  | 1.3922        | 7.0   | 65121  | 1.4289          |
  | 1.317         | 8.0   | 74424  | 1.4414          |
  | 1.2622        | 9.0   | 83727  | 1.4322          |
  | 1.2123        | 10.0  | 93030  | 1.3651          |
  | 1.1753        | 11.0  | 102333 | 1.3636          |
  | 1.1164        | 12.0  | 111636 | 1.2872          |
  | 1.0636        | 13.0  | 120939 | 1.3705          |
  | 1.021         | 14.0  | 130242 | 1.3013          |
  | 0.996         | 15.0  | 139545 | 1.2756          |
  | 0.9625        | 16.0  | 148848 | 1.2437          |
  
  
  ### Framework versions
  
  - Transformers 4.14.1
  - Pytorch 1.9.0
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  