informationAboutTraining

Summary

Describes relevant information about different steps of the training process.

A detailed explanation of the training process, including the specific techniques, algorithms, and methods employed.

Examples include:

training data used to train the AI model, along with any relevant details about its source, quality, and pre-processing steps;
specific training algorithms employed, including stochastic gradient descent, backpropagation, and reinforcement learning;
specific training techniques used to improve the performance or accuracy of the AI model, such as transfer learning, fine-tuning, or active learning; and
any evaluation metrics used to assess the performance of the AI model during the training process, including accuracy, precision, recall, and F1 score.

https://spdx.org/rdf/3.0.1/terms/AI/informationAboutTraining