readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-uncased-finetuned-mbti-0830
    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-finetuned-mbti-0830
  
  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: 4.1613
  
  ## 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: 2e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 4.4259        | 1.0   | 9720  | 4.3466          |
  | 4.2788        | 2.0   | 19440 | 4.2536          |
  | 4.1928        | 3.0   | 29160 | 4.2074          |
  | 4.1062        | 4.0   | 38880 | 4.1839          |
  | 4.0502        | 5.0   | 48600 | 4.1715          |
  | 4.0037        | 6.0   | 58320 | 4.1637          |
  | 3.9575        | 7.0   | 68040 | 4.1603          |
  | 3.9169        | 8.0   | 77760 | 4.1591          |
  | 3.8915        | 9.0   | 87480 | 4.1602          |
  | 3.8741        | 10.0  | 97200 | 4.1613          |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  