Model: Netta1994/setfit_baai_rag_ds_gpt-4o_cot-instructions_remove_final_evaluation_e1_larger_train_17
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:
1. **Context Grounding**: The answer is well-supported by the provided document and includes specific details that align with Haribabu Kommi's email.
2. **Relevance**: The answer directly addresses the question by listing the changes being made to the storage AM as mentioned in the email.
3. **Conciseness**: The answer is clear and to the point, avoiding unnecessary information.

The initial statement captures Haribabu Kommi's main points, and the follow-up details provide the exact changes and enhance the completeness without deviating from the topic.

Final Result:, Reasoning:
1. **Context Grounding**: The answer accurately identifies Ning Zhongyan as the gold medalist in the men's 1,500m final at the speed skating World Cup. This information matches the provided document where it is explicitly mentioned.
2. **Relevance**: The answer is directly relevant to the question asked, providing the required information without straying into unrelated details.
3. **Conciseness**: The answer is concise and to the point, only mentioning the necessary details about the winner and the event.

Final Result:, Reasoning:

1. Context Grounding: The answer provided is well-supported by the provided document, as it correctly lists the sizes specified in the text for both individual and combined portraits.
2. Relevance: The answer is directly related to the question, addressing the specific sizes for the individual and combined portraits without straying into unrelated information.
3. Conciseness: The answer is clear and to the point, sticking strictly to the sizes without adding unnecessary details.

Final Result:, Reasoning:
1. Context Grounding: The answer accurately describes the components of the Student Guide, which is well-supported by the provided document.
2. Relevance: The answer directly addresses the question by listing the components of the British Medieval Student Guide.
3. Conciseness: The answer is concise and includes only the necessary details regarding the components of the guide without extraneous information.

Final Result:, Reasoning:
1. **Context Grounding**: The document explicitly names the first three Members of Congress as Reps. Keith Ellison, Barbara Lee, and Danny Davis. The answer provided refers to Rep. Andy Harris, Reps. Kyle Evans, and Jessica Smith, which does not align with the information in the document.
2. **Relevance**: The answer does not correctly address the question based on the information provided in the document.
3. **Conciseness**: Although the given answer is concise, it is incorrect as it names individuals who are not mentioned in the provided document.

Final Result:
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: 0.9066666666666666
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 11
Created: 2024-09-22 14:28:23