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  library_name: transformers
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  pipeline_tag: text-generation
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  ---
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- # GPT-2 model finetuned with Alpaca dataset
 
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  This is the fine tuned version of OpenAI's GPT-2 with Alpaca dataset.
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- The model was trained for 15 epochs.
 
 
 
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- As of my tests, the best resuts were obtained with:
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  ```
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- temperature:0.7
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- top_p:0.92
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- top_k: 0
 
 
 
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  ```
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- But free feel to test different values for the same.
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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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- # Model Examples
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- ### 1. Give me some tips for staying healthy
 
 
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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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+
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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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+
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+
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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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+
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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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+
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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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