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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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- opt |
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model-index: |
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- name: gptQuotes |
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results: [] |
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datasets: |
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- Abirate/english_quotes |
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language: |
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- en |
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pipeline_tag: text-generation |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# gptQuotes |
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an Abirate's English Quotes dataset. |
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## Intended uses & limitations |
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Generating quotes with AI |
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## Online demo |
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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. |
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## Sample code |
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``` |
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from transformers import pipeline |
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ai = pipeline('text-generation',model='sr5434/gptQuotes', tokenizer='facebook/opt-350m', device=-1)#,config={'max_length':45}) |
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while True: |
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result = ai(input("Prompt>>>"))[0]['generated_text'] |
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print(result) |
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``` |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 15 |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1+cu116 |
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- Tokenizers 0.13.2 |
