readme: ---
  language: 
  - en
  thumbnail: 
  tags:
  - text generation
  license: cc
  datasets:
  - quotes-500K
  metrics:
  - perplexity 
  
  ---
  
  # Quotes Generator
  
  ## Model description
  
  This is a GPT2 model fine-tuned on the Quotes-500K dataset.  
  
  ## Intended uses & limitations
  
  For a given user prompt, it can generate motivational quotes starting with it.
  
  #### How to use
  
  ```python
  from transformers import AutoTokenizer, AutoModelWithLMHead
  
  tokenizer = AutoTokenizer.from_pretrained("nandinib1999/quote-generator")
  model = AutoModelWithLMHead.from_pretrained("nandinib1999/quote-generator")
  ```
  
  ## Training data
  
  This is the distribution of the total dataset into training, validation and test dataset for the fine-tuning task.
  
  <table style="width:30%">
  <tr>
  <th>train</th>
  <td>349796</td>
  </tr>
  <tr>
  <th>validation</th>
  <td>99942</td>
  </tr>
  <tr>
  <th>test</th>
  <td>49971</td>
  </tr>
  </table>
  
  ## Training procedure
  
  The model was fine-tuned using the Google Colab GPU for one epoch. The weights of the pre-trained GPT2 model were used as a base.
  
  ## Eval results
  
  <table style="width:30%">
  <tr>
  <th>Epoch</th>
  <th>Perplexity</th>
  </tr>
  <tr>
  <td>1</td>
  <td>15.180</td>
  </tr>
  </table>