| | --- |
| | language: |
| | - en |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | - opt |
| | datasets: |
| | - Abirate/english_quotes |
| | pipeline_tag: text-generation |
| | base_model: facebook/opt-350m |
| | model-index: |
| | - name: gptQuotes |
| | results: [] |
| | --- |
| | |
| | <!-- 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 |
