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README.md
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library_name: transformers
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pipeline_tag: text-generation
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---
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This is the fine tuned version of OpenAI's GPT-2 with Alpaca dataset.
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As of my tests, the best resuts were obtained with:
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```
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```
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But free feel to test different values for the same.
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```
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"""Below is an instruction that describes a task. Write a response that appropriately completes the request.
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Instruction:{question}
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```
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Replace {question} with the question of your choice.
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# Model Examples
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```
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Stay hydrated and active’ while exercising. ’ Get enough sleep, exercise, and have a balanced meal plan. ’Eat healthy and energy-packed snacks to stay active and healthy. ’Find the perfect combination of foods for your body, mind, and body. ’Preventative exercise can help you lose weight and improve metabolism. ’ Get enough sleep and stretch during the day. ’Eat healthy and have a balanced and energizing breakfast!
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```
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library_name: transformers
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pipeline_tag: text-generation
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---
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# Model Card for Model ID
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This is the fine tuned version of OpenAI's GPT-2 with Alpaca dataset.
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This has been fine tuned for 20 epochs at batch size of 14.
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### Model Description
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```
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license: mit
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dataset: tatsu-lab/alpaca
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language: en
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library_name: transformers
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pipeline_tag: text-generation
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base_model: gpt2
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```
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## Examples
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## Bias, Risks, and Limitations
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This model has all the biases, risks and limitations of base gpt2 model.
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## Recommendation
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The ideal format for inference is:
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```
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"""Below is an instruction that describes a task. Write a response that appropriately completes the request.
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Instruction:{question}
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```
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Replace {question} with the question of your choice.
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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