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README.md
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type: EQ-Bench (0-Shot)
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value: 1.5355
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type: EQ-Bench (0-Shot)
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value: 1.5355
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---
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## Model Overview
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This model is a fine-tuned variant of **Llama-3.2-1B**, leveraging **ORPO** (Optimized Regularization for Prompt Optimization) for enhanced performance. It has been fine-tuned using the **mlabonne/orpo-dpo-mix-40k** dataset as part of the *Finetuning Open Source LLMs Course - Week 2 Project*.
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## Intended Use
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This model is optimized for general-purpose language tasks, including text parsing, understanding contextual prompts, and enhanced interpretability in natural language processing applications.
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## Evaluation Results (EQ-Bench v2.1)
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The model was evaluated on the EQ-Bench dataset, with the following performance metrics:
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| Tasks |Version|Filter|n-shot| Metric | | Value | |Stderr|
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|--------|------:|------|-----:|-----------------|---|------:|---|-----:|
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|eq_bench| 2.1|none | 0|eqbench |↑ | 1.5355|± |0.9174|
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| | |none | 0|percent_parseable|↑ |16.9591|± |2.8782|
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## Key Features
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- **Model Size**: 1 Billion parameters
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- **Fine-tuning Method**: ORPO
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- **Dataset**: mlabonne/orpo-dpo-mix-40k
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- **Benchmark**: EQ-Bench (v2.1), no shot
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