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---
title: Awesome Metric
datasets:
- squad
tags:
- evaluate
- metric
description: "TODO: add a description here"
sdk: gradio
sdk_version: 3.19.1
app_file: app.py
pinned: false
---
# Metric Card for Awesome Metric
**_Module Card Instructions:_** _Fill out the following subsections. Feel free to take a look at existing metric cards if you'd like examples._
## Metric Description
_Give a brief overview of this metric, including what task(s) it is usually used for, if any._
## How to Use
_Give general statement of how to use the metric_
_Provide simplest possible example for using the metric_
### Inputs
_List all input arguments in the format below_
- **input_field** _(type): Definition of input, with explanation if necessary. State any default value(s)._
### Output Values
_Explain what this metric outputs and provide an example of what the metric output looks like. Modules should return a dictionary with one or multiple key-value pairs, e.g. {"bleu" : 6.02}_
_State the range of possible values that the metric's output can take, as well as what in that range is considered good. For example: "This metric can take on any value between 0 and 100, inclusive. Higher scores are better."_
#### Values from Popular Papers
_Give examples, preferrably with links to leaderboards or publications, to papers that have reported this metric, along with the values they have reported._
### Examples
_Give code examples of the metric being used. Try to include examples that clear up any potential ambiguity left from the metric description above. If possible, provide a range of examples that show both typical and atypical results, as well as examples where a variety of input parameters are passed._
## Limitations and Bias
_Note any known limitations or biases that the metric has, with links and references if possible._
## Citation
_Cite the source where this metric was introduced._
## Further References
_Add any useful further references._
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