readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: GPT2-CLS-Finetuned-MBTI
    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. -->
  
  # GPT2-CLS-Finetuned-MBTI
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.9571
  - Cls loss: 1.9559
  - Cls Accuracy: 0.6052
  - Cls F1: 0.5956
  - Cls Precision: 0.6180
  - Cls Recall: 0.6052
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Cls loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Validation Loss |
  |:-------------:|:-----:|:-----:|:--------:|:------------:|:------:|:-------------:|:----------:|:---------------:|
  | 2.0239        | 1.0   | 3470  | 1.7000   | 0.5262       | 0.4961 | 0.5438        | 0.5262     | 1.6998          |
  | 1.5182        | 2.0   | 6940  | 1.8171   | 0.5873       | 0.5764 | 0.5971        | 0.5873     | 1.8181          |
  | 1.3241        | 3.0   | 10410 | 1.9559   | 0.6052       | 0.5956 | 0.6180        | 0.6052     | 1.9571          |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  