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: 1.2449
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.099         | 1.0   | 291  | 1.6946          |
  | 1.6396        | 2.0   | 582  | 1.4288          |
  | 1.4875        | 3.0   | 873  | 1.3893          |
  | 1.399         | 4.0   | 1164 | 1.3812          |
  | 1.341         | 5.0   | 1455 | 1.2004          |
  | 1.2803        | 6.0   | 1746 | 1.2738          |
  | 1.2397        | 7.0   | 2037 | 1.2645          |
  | 1.199         | 8.0   | 2328 | 1.2092          |
  | 1.166         | 9.0   | 2619 | 1.1871          |
  | 1.1406        | 10.0  | 2910 | 1.2244          |
  | 1.1293        | 11.0  | 3201 | 1.2061          |
  | 1.1037        | 12.0  | 3492 | 1.1621          |
  | 1.0824        | 13.0  | 3783 | 1.2540          |
  | 1.0738        | 14.0  | 4074 | 1.1703          |
  | 1.0625        | 15.0  | 4365 | 1.1195          |
  | 1.0628        | 16.0  | 4656 | 1.2449          |
  
  
  ### Framework versions
  
  - Transformers 4.13.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.10.3
  