readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: GPT2-LM-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-LM-Finetuned-MBTI
  
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.9582
  - Lm loss: 3.9581
  - Perplexity: 52.36
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Lm loss | Perplexity |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:----------:|
  | 4.1981        | 1.0   | 3470  | 4.0349          | 4.0348  | 56.53      |
  | 4.0457        | 2.0   | 6940  | 3.9963          | 3.9962  | 54.39      |
  | 3.9757        | 3.0   | 10410 | 3.9815          | 3.9814  | 53.59      |
  | 3.9247        | 4.0   | 13880 | 3.9701          | 3.9701  | 52.99      |
  | 3.885         | 5.0   | 17350 | 3.9614          | 3.9613  | 52.52      |
  | 3.8523        | 6.0   | 20820 | 3.9627          | 3.9627  | 52.60      |
  | 3.8274        | 7.0   | 24290 | 3.9607          | 3.9606  | 52.49      |
  | 3.8076        | 8.0   | 27760 | 3.9585          | 3.9584  | 52.37      |
  | 3.7924        | 9.0   | 31230 | 3.9576          | 3.9575  | 52.33      |
  | 3.782         | 10.0  | 34700 | 3.9582          | 3.9581  | 52.36      |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  