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: 2.0348
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.3932        | 1.0   | 1409  | 2.0750          |
  | 2.1659        | 2.0   | 2818  | 1.9781          |
  | 2.0364        | 3.0   | 4227  | 2.1215          |
  | 1.9399        | 4.0   | 5636  | 2.1018          |
  | 1.8857        | 5.0   | 7045  | 1.9919          |
  | 1.813         | 6.0   | 8454  | 2.2653          |
  | 1.7505        | 7.0   | 9863  | 2.0857          |
  | 1.7196        | 8.0   | 11272 | 1.9211          |
  | 1.672         | 9.0   | 12681 | 1.9853          |
  | 1.6379        | 10.0  | 14090 | 2.0391          |
  | 1.6037        | 11.0  | 15499 | 1.9305          |
  | 1.5699        | 12.0  | 16908 | 2.0291          |
  | 1.5363        | 13.0  | 18317 | 2.0492          |
  | 1.5155        | 14.0  | 19726 | 1.8807          |
  | 1.4999        | 15.0  | 21135 | 1.8604          |
  | 1.4784        | 16.0  | 22544 | 2.0348          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  