readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: mbti-classification-bert-base-uncased
    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. -->
  
  # mbti-classification-bert-base-uncased
  
  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: 2.3272
  - Accuracy: 0.2924
  
  ## 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: 24
  - eval_batch_size: 24
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Accuracy | Validation Loss |
  |:-------------:|:-----:|:-----:|:--------:|:---------------:|
  | 2.0851        | 1.0   | 13660 | 0.3052   | 2.0650          |
  | 1.9902        | 2.0   | 27320 | 0.3105   | 2.0524          |
  | 1.8139        | 3.0   | 40980 | 0.3029   | 2.1081          |
  | 1.6191        | 4.0   | 54640 | 2.2604   | 0.2964          |
  | 1.4893        | 5.0   | 68300 | 2.3272   | 0.2924          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu102
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  