Model: Netta1994/setfit_baai_cybereason_gpt-4o_cot-instructions_only_reasoning_1726752054.560885
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: The percentage in the response status column indicates the total amount of successful completion of response actions.

Reasoning:
1. **Context Grounding**: The answer is well-supported by the document which states, "percentage indicates the total amount of successful completion of response actions."
2. **Relevance**: The answer directly addresses the specific question asked about what the percentage in the response status column indicates.
3. **Conciseness**: The answer is succinct and to the point without unnecessary information.
4. **Specificity**: The answer is specific to what is being asked, detailing exactly what the percentage represents.
5. **Accuracy**: The answer provides the correct key/value as per the document.

Final result: Good, Reasoning:
1. **Context Grounding**: The provided document does outline steps to enable Endpoint controls but doesn't explicitly state their purpose.
2. **Relevance**: The answer acknowledges the lack of specific information in the document about the purpose of Endpoint controls.
3. **Conciseness**: The answer is concise, directly addressing the lack of information.
4. **Specificity**: The answer directly states that the document doesn't answer the query, suggesting further sources should be checked.
5. **Detailed Key/Value/Event Name Check**: These elements do not apply to this specific question.

Considering the criteria, the answer is accurate in indicating the document does not provide the purpose of Endpoint controls and suggests looking for additional sources.

Final Result: Good, Reasoning:

1. **Context Grounding**: The answer refers to using the <ORGANIZATION> XDR to collect and forward logs, but it does not directly mention the <ORGANIZATION> XDR On-Site Collector Agent, although it is tangentially related.
2. **Relevance**: The question specifically inquires about the purpose of the <ORGANIZATION> XDR On-Site Collector Agent, not the general functionality of <ORGANIZATION> XDR. The answer provided does not address the agent itself.
3. **Conciseness**: The answer provided is concise but unfortunately lacks relevance to the specific question being asked.
4. **Specificity**: The answer is too general and doesn't provide the specific purpose of the On-Site Collector Agent.
5. **Key/Value/Event Name**: The answer does not include any specific key, value, or event name that would relate to discussing an On-Site Collector Agent.

Final result: **Bad**, Reasoning:

1. **Context Grounding**: The provided answer mentions the purpose of the <ORGANIZATION_2> email notifications checkbox in relation to enabling or disabling email notifications for users. However, the document explicitly states that notifications about stale and archived sensors are managed separately from other email preferences. The checkbox in the Users section determines whether users receive these specific notifications, which indicates a more precise purpose.
  
2. **Relevance**: The response does relate to the question but lacks specificity about the type of notifications (stale/archived sensors) governed by the checkbox. It also fails to mention that these notifications are managed independently of other email preferences.
  
3. **Conciseness**: The answer is concise but could be clearer about the specific type of notifications and their management.
  
4. **Specificity**: The answer is somewhat general and does not fully capture the detailed function of the checkbox as described in the document.
  
5. **Correct Key/Value/Event Name**: The answer correctly identifies the purpose of the checkbox but does not reflect the detailed context provided in the document regarding specific notifications (stale/archived sensors).

Final Result: Bad, The provided answer "..\/..\/_images\/hunting_http://www.flores.net/" does not match the correct URL as per the document content for the second query.

**Reasoning:**
1. **Context Grounding:**
   - The URL provided "..\/..\/_images\/hunting_http://www.flores.net/" is not found in the provided document.
   - Instead, the correct URL as per the document for Query 2 is "..\/..\/_images\/hunting_http://miller.co".

2. **Relevance:**
   - The answer provided does not correspond to the specific question asked, which was about the URL for the second query. It deviates from the document and is incorrect.

3. **Conciseness:**
   - The answer does not provide any extraneous information, but being incorrect, it fails at providing the relevant and necessary detail concisely.

4. **Specificity:**
   - The answer is specific but incorrect. It provides a URL, but not the right one as required.

5. **Accuracy of key/value/event name:**
   - The correct event (image URL) for the second query is "..\/..\/_images\/hunting_http://miller.co" according to the document.

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: 8
Created: 2024-09-19 13:20:54