models qna f1 score eval

qna-f1-score-eval

Overview

Description: 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|Python sample (Notebook)|CLI with YAML |--|--|--| Real time|deploy-promptflow-model-python-example|deploy-promptflow-model-cli-example Batch | N/A | N/A ### Sample inputs and outputs (for real-time inference) #### Sample input json { "inputs": { "ground_truth": "Master transformer.", "answer": "The main transformer is the object that feeds all the fixtures in low voltage tracks." } } #### Sample output json { "outputs": { "f1_score": "0.14285714285714285" } }

Version: 2

View in Studio: https://ml.azure.com/registries/azureml/models/qna-f1-score-eval/version/2

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