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gptQuotes

This model is a fine-tuned version of 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. 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
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Dataset used to train sr5434/gptQuotes

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