Model: Netta1994/setfit_baai_wikisum_gpt-4o_cot-few_shot-instructions_remove_final_evaluation_e1_large
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 provided answer reflects the key identifiers of a funnel spider found in the document, such as the dark brown or black body, hard shiny carapace, and large fangs.
2. Relevance: The answer directly addresses the question of how to identify a funnel spider with relevant details.
3. Conciseness: The answer is clear, with pertinent details, and avoids unnecessary information.

Final evaluation:, Evaluation:

1. Context Grounding:
The answer is well-supported by the provided document. It correctly mentions creating margins, using a 12-point font, double-spacing text, creating a running header, typing the heading in the upper left corner, and starting the body of the paper with left-aligned text.

2. Relevance:
The answer is relevant to the question asked and specifically addresses how to write a paper in MLA format. It does not deviate into unrelated topics.

3. Conciseness:
The answer is clear and to the point, avoiding unnecessary information, and covers the key steps required to write in MLA format.

Final Result:, The answer provided is partially correct but lacks several important details covered in the document. It highlights the importance of grades in specific subjects and getting clinical experience, but misses other key steps such as involving oneself in extracurricular activities, understanding application procedures, preparing extensively for the MCAT, and engaging with advisors and peers.

**Reasoning:**
1. **Context Grounding:** The answer does cover some points mentioned in the document such as focusing on grades in specific subjects (BCPM) and getting clinical experience. However, it omits several other detailed recommendations provided in the document.
2. **Relevance:** The answer is somewhat relevant to the question but fails to address the full scope of steps required to get into medical school as outlined in the document.
3. **Conciseness:** While the answer is concise, it lacks the critical breadth needed to be truly adequate and comprehensive for getting into medical school.

**Final Evaluation: **, Evaluation:

1. Context Grounding: The answer is largely grounded in the provided document but adds some minor details that were not explicitly mentioned, such as "putting the clothes on top of you to cover your body."
2. Relevance: The answer is highly relevant to the question asked and focuses on strategies and techniques for playing hide and seek, which is directly related to the document's content.
3. Conciseness: The answer is slightly long-winded but generally clear. It could be more concise by removing extraneous details.

Final result:, **Evaluation Reasoning:**

1. **Context Grounding:**
   - **Weak Grounding:** The provided instructions for making a saline solution and administering it are not entirely accurate based on the document. The document specifies different proportions (1 cup water, 1/2 teaspoon salt, 1/2 teaspoon baking soda) and advises against overly inserting the bulb.
  
2. **Relevance:**
   - **Partially Relevant:** The answer attempts to address the question about treating a baby's cough but contains inaccuracies and some deviations that make it only partially relevant.

3. **Conciseness:**
   - **Problems with Conciseness:** The answer includes extraneous details not needed to succinctly treat a baby’s cough, especially the inclusion of incorrect proportion information which adds confusion rather than clarity.

**Final 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: 0.8648648648648649
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 157
Created: 2024-09-22 15:57:27