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: 1.1389
  
  ## 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: 8
  - eval_batch_size: 32
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.9863        | 1.0   | 1163  | 1.5917          |
  | 1.579         | 2.0   | 2326  | 1.4668          |
  | 1.4305        | 3.0   | 3489  | 1.3947          |
  | 1.3367        | 4.0   | 4652  | 1.2889          |
  | 1.2748        | 5.0   | 5815  | 1.3377          |
  | 1.2184        | 6.0   | 6978  | 1.3370          |
  | 1.1708        | 7.0   | 8141  | 1.2595          |
  | 1.1309        | 8.0   | 9304  | 1.3044          |
  | 1.0896        | 9.0   | 10467 | 1.2314          |
  | 1.0614        | 10.0  | 11630 | 1.1699          |
  | 1.0296        | 11.0  | 12793 | 1.2066          |
  | 0.9896        | 12.0  | 13956 | 1.2158          |
  | 0.983         | 13.0  | 15119 | 1.1289          |
  | 0.9619        | 14.0  | 16282 | 1.1427          |
  | 0.9387        | 15.0  | 17445 | 1.0767          |
  | 0.9205        | 16.0  | 18608 | 1.1389          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu102
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  