Model: Netta1994/setfit_baai_cybereason_gpt-4o_improved-cot-instructions_chat_few_shot_only_reasoning_
Author: Netta1994
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, bert, sentence-transformers, text-classification, generated_from_setfit_trainer, arxiv:2209.11055, base_model:BAAI/bge-base-en-v1.5, base_model:finetune:BAAI/bge-base-en-v1.5, model-index, region:us
Base models (finetune): id: BAAI/bge-base-en-v1.5
Card metadata: base_model: BAAI/bge-base-en-v1.5
library_name: setfit
metrics: accuracy
pipeline_tag: text-classification
tags: setfit, sentence-transformers, text-classification, generated_from_setfit_trainer
widget: Reasoning:
The answer is direct, concise, and accurately picks out the relevant information from the document concerning the percentage in the response status column.
Evaluation: Good, Reasoning:
The document provides specific steps to enable and configure Endpoint controls, but it doesn't explicitly state the purpose or objective of Endpoint controls. The answer appropriately recognizes that the provided information does not cover the specific query regarding the purpose. This shows strong context grounding and relevance to the question, as the document indeed lacks the required detail.

Evaluation: Good, Reasoning:
The answer directly refers to a specific function mentioned in the document, which is to collect logs and securely forward them to the <ORGANIZATION> XDR. This is concise and appropriately addresses the question based on the given text.

Evaluation: Good, Reasoning:
The answer correctly identifies the purpose of the <ORGANIZATION_2> email notifications checkbox as enabling or disabling email notifications for users. This is supported by the document, specifically the section that details that if <ORGANIZATION_2> notifications is set to On, users with the System Admin role will receive email notifications about stale or archived sensors, even if the user notification checkbox is not selected.

Evaluation: Good, Reasoning:
1. Context Grounding: The provided answer is not adequately supported by the document. The document provides the correct URL, which is `..\/..\/_images\/hunting_http://miller.co for the second query, but the answer presented is incorrect and refers only to the first query image.
2. Relevance: The answer is not relevant; it does not identify that the appropriate URL for the image is `..\/..\/_images\/hunting_http://miller.co.
3. Conciseness: The answer is concise but inaccurate.
4. Specificity: The answer lacks the specifics necessary to directly respond to the question, it does not pertain to the second query image URL.

Final Result: Bad
inference: yes
model-index: name: SetFit with BAAI/bge-base-en-v1.5
results: task: type: text-classification
name: Text Classification
dataset: name: Unknown
type: unknown
split: test
metrics: type: accuracy
value: 0.5070422535211268
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 7
Created: 2024-09-19 13:23:06