metadata
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