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--- |
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license: llama3.2 |
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datasets: |
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- mlabonne/orpo-dpo-mix-40k |
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language: |
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- en |
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base_model: |
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- meta-llama/Llama-3.2-1B |
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library_name: transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: week2-llama3-1B |
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results: |
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- task: |
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type: text-generation |
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dataset: |
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name: mlabonne/orpo-dpo-mix-40k |
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type: mlabonne/orpo-dpo-mix-40k |
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metrics: |
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- name: EQ-Bench (0-Shot) |
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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 |
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The model was evaluated on the following benchmarks, 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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|hellaswag| 1|none | 0|acc |↑ |0.4812|± |0.0050| |
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| | |none | 0|acc_norm |↑ |0.6467|± |0.0048| |
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|ifeval | 4|none | 0|inst_level_loose_acc |↑ |0.3993|± | N/A| |
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| | |none | 0|inst_level_strict_acc |↑ |0.2974|± | N/A| |
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| | |none | 0|prompt_level_loose_acc |↑ |0.2754|± |0.0192| |
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| | |none | 0|prompt_level_strict_acc|↑ |0.1848|± |0.0167| |
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|tinyMMLU | 0|none | 0|acc_norm |↑ |0.3996|± | N/A| |
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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 |
