Model: Netta1994/setfit_baai_wikisum_gpt-4o_improved-cot-instructions_chat_few_shot_remove_final_evalu
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 grounded well in the document and stays relevant to the question. Importantly, every point mentioned is specifically found in the provided document with no unnecessary deviation.

Evaluation:, Reasoning:
correct- The provided answer accurately portrays the process of writing a paper in MLA format and is supported by the details provided in the given document.
Evaluation:, Reasoning:
Context Grounding: The answer is closely aligned with the information in the document, which provides an extensive guide on the prerequisites, GPA importance, clinical experience, and MCAT preparation.
Relevance: The answer addresses the question directly by discussing key steps such as focusing on core courses, gaining clinical experience, and preparing for the MCAT.
Conciseness: The answer is concise yet comprehensive, covering the main steps without introducing extraneous information.

Final Result:, Reasoning:
The answer is reasonably well-grounded in the provided document, and it remains relevant to the question. However, it introduces the notion of camouflaging in multi-colored areas, which is implied but not explicitly stated with that specificity in the document.

Evaluation:, Reasoning:
contradiction - The answer contains information that contradicts what appears in the document.
Evaluation:
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: 0.8133333333333334
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 21
Created: 2024-09-19 14:55:32