models qna f1 score eval

qna-f1-score-eval

Overview

The "QnA F1 Score Evaluation" is a model to evaluate the Q&A Retrieval Augmented Generation systems using f1 score based on the word counts in predicted answer and ground truth.

Inference samples

Inference type	CLI	VS Code Extension
Real time	deploy-promptflow-model-cli-example	deploy-promptflow-model-vscode-extension-example
Batch	N/A	N/A

Sample inputs and outputs (for real-time inference)

Sample input

{
    "inputs": {
        "ground_truth": "Master transformer.",
        "answer": "The main transformer is the object that feeds all the fixtures in low voltage tracks."
    }
}

Sample output

{
    "outputs": {
        "f1_score": "0.14285714285714285"
    }
}

Version: 3

View in Studio: https://ml.azure.com/registries/azureml/models/qna-f1-score-eval/version/3

Properties

is-promptflow: True

azureml.promptflow.section: gallery

azureml.promptflow.type: evaluate

azureml.promptflow.name: QnA F1 Score Evaluation

azureml.promptflow.description: Compute the F1 Score based on words in answer and ground truth.

inference-min-sku-spec: 2|0|14|28

inference-recommended-sku: Standard_DS3_v2