202 lines
5.3 KiB
Markdown
202 lines
5.3 KiB
Markdown
---
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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_Corianas__111m)
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| Metric | Value |
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|-----------------------|---------------------------|
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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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