readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: vit-base-patch16-224-in21k-gpt2-finetuned-to-pokemon-descriptions-oak
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  # vit-base-patch16-224-in21k-gpt2-finetuned-to-pokemon-descriptions-oak
  
  This model is a fine-tuned version of [tkarr/vit-base-patch16-224-in21k-gpt2-finetuned-to-pokemon-descriptions](https://huggingface.co/tkarr/vit-base-patch16-224-in21k-gpt2-finetuned-to-pokemon-descriptions) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0586
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.0693        | 1.0   | 3208  | 0.0671          |
  | 0.063         | 2.0   | 6416  | 0.0620          |
  | 0.0562        | 3.0   | 9624  | 0.0592          |
  | 0.0534        | 4.0   | 12832 | 0.0586          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  