readme: ---
  license: mit
  tags:
  - generated_from_trainer
  - opt
  model-index:
  - name: gptQuotes
    results: []
  datasets:
  - Abirate/english_quotes
  language:
  - en
  pipeline_tag: text-generation
  ---
  
  <!-- 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. -->
  
  # gptQuotes
  
  This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an Abirate's English Quotes dataset.
  
  
  ## Intended uses & limitations
  
  Generating quotes with AI
  
  ## Online demo
  
  A demo of this AI is availible in a [Huggingface Space](https://huggingface.co/spaces/sr5434/QuoteGeneration). Do not use the version attached to this model, as it doesn't work.
  
  ## Sample code
  ```
  from transformers import pipeline
  ai = pipeline('text-generation',model='sr5434/gptQuotes', tokenizer='facebook/opt-350m', device=-1)#,config={'max_length':45})
  while True:
    result = ai(input("Prompt>>>"))[0]['generated_text']
    print(result)
  ```
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 5e-05
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 15
  ### Framework versions
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu116
  - Tokenizers 0.13.2