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JPBianchi/llm_uplimit_P2_llama3
llm_uplimit_P2_llama3 is a text generation model from JPBianchi. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.2.
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 pa…
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From the Hugging Face model README
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.
This model is optimized for general-purpose language tasks, including text parsing, understanding contextual prompts, and enhanced interpretability in natural language processing applications.
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 | ± | 0.9184 |
| none | 0 | percent_parseable | ↑ | 16.9591 | ± | 2.8782 | ||
| hellaswag | 1 | none | 0 | acc | ↑ | 0.4812 | ± | 0.0050 |
| none | 0 | acc_norm | ↑ | 0.6467 | ± | 0.0049 | ||
| ifeval | 4 | none | 0 | inst_level_loose_acc | ↑ | 0.3984 | ± | N/A |
| none | 0 | inst_level_strict_acc | ↑ | 0.2974 | ± | N/A | ||
| none | 0 | prompt_level_loose_acc | ↑ | 0.2755 | ± | 0.0193 | ||
| none | 0 | prompt_level_strict_acc | ↑ | 0.1848 | ± | 0.0168 | ||
| tinyMMLU | 0 | none | 0 | acc_norm | ↑ | 0.3995 | ± | N/A |