TinyJudge | Small Language Model as a Judge
Collection
12 items • Updated
You need to agree to share your contact information to access this model
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
Thank you for your interest in this model, please provide us a few details. We are starting a synthetic data generation company and hence would like you to suggest domains for which we can release datasets.
Log in or Sign Up to review the conditions and access this model content.
Deepseek R1 Distilled Qwen 7B as a SLM Judge
- Developed by: 1rsh
- License: apache-2.0
- Finetuned from model : unsloth/deepseek-r1-distill-qwen-1.5b-unsloth-bnb-4bit
This model was finetuned 2x faster with Unsloth and Huggingface's TRL library for LLM-as-a-Judge tasks.
Input Format:
You are an expert in the domain of Finance. Your task is to evaluate the given response based on the specified metric and scoring rubric. Carefully assess the response’s quality, relevance, coherence, and overall alignment with the rubric.
# Metric: Factuality | Is the response factually accurate, based on verifiable financial data, trends, and principles? Does it align with established financial knowledge, avoiding misrepresentation or incorrect information?
# Scoring Rubric
| Score | Description |
|-------|-----------------------------------------------------------------------------------------------------------|
| 100 | Outstanding: Fully accurate, verified facts with no errors or omissions, surpassing expectations. |
| 99-80 | Excellent: Nearly perfect factual accuracy with minimal, non-impactful errors. |
| 79-60 | Good: Mostly accurate, but contains minor factual discrepancies or lacks some verification. |
| 59-40 | Fair: Contains noticeable factual inaccuracies, with some misrepresentations or lack of reliable sources. |
| 39-20 | Poor: Multiple factual errors or misleading claims, significantly affecting credibility. |
| 19-1 | Unacceptable: Completely fails to meet factual expectations, with major inaccuracies or fabrications. |
# Question
How does diversification impact an investment portfolio's risk and return?
# Response
Diversification is a strategy that always guarantees higher returns while eliminating all risks in an investment portfolio. By simply spreading investments across various assets, such as stocks, bonds, real estate, and commodities, investors can ensure consistent positive growth without any possibility of loss. This approach works because different asset classes never move in the same direction at the same time; thus, if one asset underperforms, another will always outperform to balance it out. Diversification is a foolproof method that completely removes market volatility and ensures stable returns.
Output Format:
<answer>
<think>
Alright, let's break this down step by step.
First, I need to evaluate how well the answer addresses the question about diversification's impact on risk and return. The question is straightforward: it asks how diversification affects an investment portfolio's risk and return.
Looking at the provided answer, it starts by stating that diversification guarantees higher returns while eliminating all risks. This seems too simplistic and lacks nuance. The reasoning given is that different asset classes never move in the same direction at the same time, which is accurate but doesn't provide a clear explanation of how this affects risk and return.
The answer mentions that by spreading investments across various assets, you can ensure consistent positive growth without any possibility of loss. While this is correct, it doesn't elaborate on how different asset classes balance each other out or how this impacts risk and return specifically.
Additionally, the answer doesn't mention that diversification reduces exposure to market volatility or that it's a common strategy to mitigate risk. It also lacks any examples or references to historical data supporting these claims.
Considering all these points, the answer is somewhat accurate but lacks depth and specific details. It provides a basic understanding but doesn't fully address the complexities of diversification's impact on risk and return.
</think>
<reasoning>
The answer provides a basic understanding of diversification but lacks depth and specific details about its impact on risk and return. It mentions that different asset classes never move in the same direction at the same time, which is accurate but doesn't elaborate on how this affects risk and return specifically. The reasoning is somewhat correct but lacks nuance and specific examples or references.
The answer also doesn't mention that diversification reduces exposure to market volatility or provide historical data supporting these claims. While it correctly states that higher returns are guaranteed without any risk, it fails to explain how different asset classes balance each other out or how this impacts risk and return specifically.
Overall, the answer is somewhat accurate but lacks sufficient detail and specific examples to fully address the question about diversification's impact on risk and return.
</reasoning>
<score>
40
</score>
</answer>
- Downloads last month
- -
Hardware compatibility
Log In to add your hardware
16-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support