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--- |
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license: cc-by-nc-sa-4.0 |
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datasets: |
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- tatsu-lab/alpaca |
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- the_pile |
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--- |
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# Model Card for Cerebras 111M Dollyfied. |
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This is a finetuned model of Cerebras 111M model. using DataBricksLabs Dolly Framework |
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## Model Details |
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### Model Description |
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This is a finetuned version of cerebras' 111million paramater model that has been trained to follow instructions. |
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It was accomplished using DataBricks Dolly training tools and the alpaca dataset, and was trained for 2 epochs. |
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- **Developed by:** Finetuned by Corianas (me) using open source tools |
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- **Shared by [optional]:** [More Information Needed] |
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- **Model type:** [More Information Needed] |
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- **Language(s) (NLP):** EN |
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- **License:** cc-by-nc-4.0 |
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- **Finetuned from model:** https://huggingface.co/cerebras/Cerebras-GPT-111m |
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- **Finetuned using:** https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html |
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## Uses |
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This is a simple GPT chatbot that has been finetuned to understand instructions. |
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Its knowledge about facts about the world is should be considered suspect at best. |
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### Direct Use |
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If you have a use you put it to, Please let me know. |
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[More Information Needed] |
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### Downstream Use [optional] |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
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[More Information Needed] |
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### Out-of-Scope Use |
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Any form of use where any form of accuracy is needed. |
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FOR THE LOVE OF GOD DO NOT FOLLOW MEDICAL ADVICE FROM THIS. |
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or financial advice. |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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Limitations... Yes, I am sure there are so so many. |
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[More Information Needed] |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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[More Information Needed] |
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## Training Details |
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### Training Data |
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<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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[More Information Needed] |
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### Training Procedure |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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#### Preprocessing [optional] |
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[More Information Needed] |
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#### Training Hyperparameters |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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#### Speeds, Sizes, Times [optional] |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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[More Information Needed] |
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## Evaluation |
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<!-- This section describes the evaluation protocols and provides the results. --> |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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<!-- This should link to a Data Card if possible. --> |
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[More Information Needed] |
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#### Factors |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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[More Information Needed] |
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#### Metrics |
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<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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[More Information Needed] |
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### Results |
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[More Information Needed] |
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#### Summary |
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## Model Examination [optional] |
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<!-- Relevant interpretability work for the model goes here --> |
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[More Information Needed] |
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## Environmental Impact |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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- **Hardware Type:** 8xA100s (accomplished while I was downloading the model I was actually training.) |
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- **Minutes used:** 7.5 |
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- **Cloud Provider:** LambdaGPU |
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- **Compute Region:** USA |
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- **Carbon Emitted:** [More Information Needed] |
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## Technical Specifications [optional] |
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### Model Architecture and Objective |
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[More Information Needed] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[More Information Needed] |
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#### Software |
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[More Information Needed] |
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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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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Model Card Authors [optional] |
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[More Information Needed] |
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## Model Card Contact |
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[More Information Needed] |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_huashiyiqike__testmodel) |
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| Metric | Value | |
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| Avg. | 24.04 | |
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| ARC (25-shot) | 19.71 | |
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| HellaSwag (10-shot) | 26.68 | |
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| MMLU (5-shot) | 25.28 | |
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| TruthfulQA (0-shot) | 43.72 | |
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| Winogrande (5-shot) | 50.2 | |
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| GSM8K (5-shot) | 0.0 | |
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| DROP (3-shot) | 2.69 | |
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