---
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