metadata

license: mit
tags:
  - generated_from_trainer
model-index:
  - name: gptQuotes
    results: []
datasets:
  - Abirate/english_quotes
language:
  - en
pipeline_tag: text-generation

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