--- license: llama3.2 datasets: - mlabonne/orpo-dpo-mix-40k language: - en base_model: - meta-llama/Llama-3.2-1B library_name: transformers pipeline_tag: text-generation model-index: - name: week2-llama3-1B results: - task: type: text-generation dataset: name: mlabonne/orpo-dpo-mix-40k type: mlabonne/orpo-dpo-mix-40k metrics: - name: EQ-Bench (0-Shot) type: EQ-Bench (0-Shot) value: 1.5355 --- ## Model Overview 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*. ## Intended Use This model is optimized for general-purpose language tasks, including text parsing, understanding contextual prompts, and enhanced interpretability in natural language processing applications. ## Evaluation Results The model was evaluated on the following benchmarks, with the following performance metrics: | Tasks |Version|Filter|n-shot| Metric | | Value | |Stderr| |--------|------:|------|-----:|-----------------|---|------:|---|-----:| |eq_bench| 2.1|none | 0|eqbench |↑ | 1.5355|± |0.9174| | | |none | 0|percent_parseable|↑ |16.9591|± |2.8782| |hellaswag| 1|none | 0|acc |↑ |0.4812|± |0.0050| | | |none | 0|acc_norm |↑ |0.6467|± |0.0048| |ifeval | 4|none | 0|inst_level_loose_acc |↑ |0.3993|± | N/A| | | |none | 0|inst_level_strict_acc |↑ |0.2974|± | N/A| | | |none | 0|prompt_level_loose_acc |↑ |0.2754|± |0.0192| | | |none | 0|prompt_level_strict_acc|↑ |0.1848|± |0.0167| |tinyMMLU | 0|none | 0|acc_norm |↑ |0.3996|± | N/A| ## Key Features - **Model Size**: 1 Billion parameters - **Fine-tuning Method**: ORPO - **Dataset**: mlabonne/orpo-dpo-mix-40k