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---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
|-------------|------:|------|-----:|--------|-----:|---|-----:|
|arc_challenge| 1|none | 25|acc |0.1792|± |0.0112|
| | |none | 25|acc_norm|0.2065|± |0.0118|
|truthfulqa_mc2| 2|none | 0|acc |0.4553|± |0.0154|
|winogrande| 1|none | 5|acc |0.4972|± |0.0141|
|hellaswag| 1|none | 10|acc |0.2703|± |0.0044|
| | |none | 10|acc_norm|0.2796|± |0.0045|
|gsm8k| 3|strict-match | 5|exact_match|0.0000|± |0.0000|
| | |flexible-extract| 5|exact_match|0.0144|± |0.0033|
(0.24656842105263158, 0.004373961821155628)
| Tasks |Version|Filter|n-shot|Metric|Value | |Stderr|
|-----------------------------------|------:|------|-----:|------|-----:|---|-----:|
|world_religions | 0|none | 5|acc |0.2573|± |0.0335|
|virology | 0|none | 5|acc |0.2831|± |0.0351|
|us_foreign_policy | 0|none | 5|acc |0.2500|± |0.0435|
|sociology | 0|none | 5|acc |0.2438|± |0.0304|
|security_studies | 0|none | 5|acc |0.2327|± |0.0270|
|public_relations | 0|none | 5|acc |0.2273|± |0.0401|
|professional_psychology | 0|none | 5|acc |0.2500|± |0.0175|
|professional_medicine | 0|none | 5|acc |0.4485|± |0.0302|
|professional_law | 0|none | 5|acc |0.2458|± |0.0110|
|professional_accounting | 0|none | 5|acc |0.2624|± |0.0262|
|prehistory | 0|none | 5|acc |0.2130|± |0.0228|
|philosophy | 0|none | 5|acc |0.1929|± |0.0224|
|nutrition | 0|none | 5|acc |0.2222|± |0.0238|
|moral_scenarios | 0|none | 5|acc |0.2380|± |0.0142|
|moral_disputes | 0|none | 5|acc |0.2486|± |0.0233|
|miscellaneous | 0|none | 5|acc |0.2644|± |0.0158|
|medical_genetics | 0|none | 5|acc |0.3000|± |0.0461|
|marketing | 0|none | 5|acc |0.1752|± |0.0249|
|management | 0|none | 5|acc |0.1748|± |0.0376|
|machine_learning | 0|none | 5|acc |0.2500|± |0.0411|
|logical_fallacies | 0|none | 5|acc |0.2945|± |0.0358|
|jurisprudence | 0|none | 5|acc |0.2593|± |0.0424|
|international_law | 0|none | 5|acc |0.2479|± |0.0394|
|human_sexuality | 0|none | 5|acc |0.2595|± |0.0384|
|human_aging | 0|none | 5|acc |0.2466|± |0.0289|
|high_school_world_history | 0|none | 5|acc |0.2911|± |0.0296|
|high_school_us_history | 0|none | 5|acc |0.2794|± |0.0315|
|high_school_statistics | 0|none | 5|acc |0.4722|± |0.0340|
|high_school_psychology | 0|none | 5|acc |0.1927|± |0.0169|
|high_school_physics | 0|none | 5|acc |0.1987|± |0.0326|
|high_school_microeconomics | 0|none | 5|acc |0.2227|± |0.0270|
|high_school_mathematics | 0|none | 5|acc |0.2667|± |0.0270|
|high_school_macroeconomics | 0|none | 5|acc |0.2103|± |0.0207|
|high_school_government_and_politics| 0|none | 5|acc |0.2435|± |0.0310|
|high_school_geography | 0|none | 5|acc |0.1717|± |0.0269|
|high_school_european_history | 0|none | 5|acc |0.2485|± |0.0337|
|high_school_computer_science | 0|none | 5|acc |0.2700|± |0.0446|
|high_school_chemistry | 0|none | 5|acc |0.2906|± |0.0319|
|high_school_biology | 0|none | 5|acc |0.2774|± |0.0255|
|global_facts | 0|none | 5|acc |0.1600|± |0.0368|
|formal_logic | 0|none | 5|acc |0.1508|± |0.0320|
|elementary_mathematics | 0|none | 5|acc |0.2540|± |0.0224|
|electrical_engineering | 0|none | 5|acc |0.2414|± |0.0357|
|econometrics | 0|none | 5|acc |0.2544|± |0.0410|
|conceptual_physics | 0|none | 5|acc |0.2638|± |0.0288|
|computer_security | 0|none | 5|acc |0.2600|± |0.0441|
|college_physics | 0|none | 5|acc |0.2157|± |0.0409|
|college_medicine | 0|none | 5|acc |0.2081|± |0.0310|
|college_mathematics | 0|none | 5|acc |0.2300|± |0.0423|
|college_computer_science | 0|none | 5|acc |0.3100|± |0.0465|
|college_chemistry | 0|none | 5|acc |0.2000|± |0.0402|
|college_biology | 0|none | 5|acc |0.2431|± |0.0359|
|clinical_knowledge | 0|none | 5|acc |0.2415|± |0.0263|
|business_ethics | 0|none | 5|acc |0.1600|± |0.0368|
|astronomy | 0|none | 5|acc |0.1776|± |0.0311|
|anatomy | 0|none | 5|acc |0.3407|± |0.0409|
|abstract_algebra | 0|none | 5|acc |0.2200|± |0.0416|
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset 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. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
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## Glossary [optional]
<!-- 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 [optional]
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## Model Card Authors [optional]
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## Model Card Contact
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