readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bart-base-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. -->
  
  # bart-base-finetuned-mbti-0830
  
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0000
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.0023        | 1.0   | 9920  | 0.0000          |
  | 0.0005        | 2.0   | 19840 | 0.0000          |
  | 0.0002        | 3.0   | 29760 | 0.0000          |
  | 0.0001        | 4.0   | 39680 | 0.0000          |
  | 0.0001        | 5.0   | 49600 | 0.0000          |
  | 0.0           | 6.0   | 59520 | 0.0000          |
  | 0.0           | 7.0   | 69440 | 0.0000          |
  | 0.0           | 8.0   | 79360 | 0.0000          |
  | 0.0           | 9.0   | 89280 | 0.0000          |
  | 0.0           | 10.0  | 99200 | 0.0000          |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  