| license: mit | |
| tags: | |
| - generated_from_trainer | |
| 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 |