Model Card for Model ID
This is the fine tuned version of OpenAI's GPT-2 with Alpaca dataset. This has been fine tuned for 20 epochs at batch size of 14.
Model Description
license: mit
dataset: tatsu-lab/alpaca
language: en
library_name: transformers
pipeline_tag: text-generation
base_model: gpt2
Examples
- Give me tips to be healthy
Here are some tips to be healthy:
- Eat a balanced diet that includes plenty of fruits, vegetables, whole grains, lean proteins, and healthy fats.
- Exercise regularly to maintain a healthy weight and reduce the risk of developing any health issues.
- Get enough sleep and stay hydrated by drinking plenty of water.
- Get enough fiber and healthy fats to support your overall health and wellbeing.
- Practice mindful breathing and avoid activities that can increase stress.
- Get enough sleep and maintain a healthy weight.
- Write a poem on cows
Cows are beloved creatures,
Families who love to cuddle,
In their humble homes they rest.
Cows are the bread and butter of life,
They can be found in the fields and gardens,
Birds and insects to feed us.
Cows are the sweet smell of life,
A source of joy and happiness,
Providing shelter and a home to rest.
Cows are the faithful guardians of the land,
They will protect our spirits from strife,
In their care they will ensure that our food and shelter will be nourished.
Cows are the beloved petals of life,
They are loyal companions and faithful stewards,
Their presence will always be seen.
- Which is the fastest animal in the world
The cheetah is the fastest animal in the world.
Bias, Risks, and Limitations
This model has all the biases, risks and limitations of base gpt2 model.
Recommendation
The ideal format for inference is:
Below is an instruction that describes a task. Write a response that appropriately completes the request.
Instruction:{question}
Response:
Replace {question} with the question of your choice.
The parameters I used for inference are:
top_k=20
top_p=.9
temperature = .7
References used
GPT2 @article{radford2019language, title={Language Models are Unsupervised Multitask Learners}, author={Radford, Alec and Wu, Jeff and Child, Rewon and Luan, David and Amodei, Dario and Sutskever, Ilya}, year={2019} }
tatsu-lab/alpaca @misc{alpaca, author = {Rohan Taori and Ishaan Gulrajani and Tianyi Zhang and Yann Dubois and Xuechen Li and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto }, title = {Stanford Alpaca: An Instruction-following LLaMA model}, year = {2023}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/tatsu-lab/stanford_alpaca}}, }
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