khazarai
/

datascience-RLHF

@@ -18,198 +18,50 @@ language:
 # Model Card for Model ID
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 ## Model Details
 ### Model Description
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 ## Uses
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 ## Bias, Risks, and Limitations
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-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
 ## How to Get Started with the Model
 Use the code below to get started with the model.
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-## Training Details
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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 ### Framework versions
 - PEFT 0.17.1

 # Model Card for Model ID
 ## Model Details
+This model is a fine-tuned version of Qwen3-1.7B using ORPO (Odds Ratio Preference Optimization), a reinforcement learning from human feedback (RLHF) method.
 ### Model Description
 <!-- Provide a longer summary of what this model is. -->
+- **Base Model:** Qwen3-1.7B
+- **Fine-tuning Method:** ORPO (RLHF alignment)
+- **Dataset:** ~1,000 data science–related preference samples (chosen vs. rejected responses).
+- **Objective:** Improve model’s ability to generate higher-quality, relevant, and well-structured responses in data science
+- **Language(s) (NLP):** English
+- **License:** MIT
 ## Uses
 ### Direct Use
+- Assisting in data science education (explanations of ML concepts, statistical methods, etc.).
+- Supporting data analysis workflows with suggestions, reasoning, and structured outputs.
+- Acting as a teaching assistant for coding/data-related queries.
+- Providing helpful responses in preference-aligned conversations where correctness and clarity are prioritized.
 ## Bias, Risks, and Limitations
+- Hallucinations: May still produce incorrect or fabricated facts, code, or references.
+- Dataset Size: Fine-tuned on only 1K preference pairs, which limits generalization.
+- Domain Focus: Optimized for data science, but may underperform on other domains.
+- Not a Substitute for Experts: Should not be used as the sole source for critical decisions in real-world projects.
+- Bias & Safety: As with all LLMs, may reflect biases present in training data.
 ## How to Get Started with the Model
 Use the code below to get started with the model.
+```python
+```
 ### Framework versions
 - PEFT 0.17.1