Evaluate is a library that makes evaluating and comparing models and reporting their performance easier and more standardized. It currently contains:. Issues 156 · Releases 11 · Setup.py · Pull requests 61

evaluate provides tools that allow you to recreate the parsing, evaluation and display of R code, with enough information that you can accurately recreate ...

Evaluate: A library for easily evaluating machine learning models and datasets. - Releases · huggingface/evaluate.

Evaluate: A library for easily evaluating machine learning models and datasets. - evaluate/src/evaluate/module.py at main · huggingface/evaluate.

The WER is a valuable tool for comparing different systems as well as for evaluating improvements within one system. This kind of measurement, however, provides ...

Evaluate: A library for easily evaluating machine learning models and datasets. - Issues · huggingface/evaluate.

Evaluate: A library for easily evaluating machine learning models and datasets. - Activity · huggingface/evaluate.

Evaluate: A library for easily evaluating machine learning models and datasets. - evaluate/metrics/cer/cer.py at main · huggingface/evaluate.

A tool to evaluate the performance of various machine learning algorithms and preprocessing steps to find a good baseline for a given task.

You can use expressions to programmatically set environment variables in workflow files and access contexts.