README.md

---
base_model:
- Qwen/Qwen2.5-0.5B-Instruct
datasets:
- Augmentation-Scaling-Laws/math-seed-data
library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
model-index:
- name: ECE-Qwen0.5B-FT-V2
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 25.26
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 7.63
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 1.21
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 2.24
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 0.89
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 7.4
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-Qwen0.5B-FT-V2
      name: Open LLM Leaderboard
---


### Model Description

The model you’re using is based on Qwen/Qwen2.5-0.5B-Instruct, a powerful AI designed to follow instructions across a wide range of tasks. Through specialized fine-tuning, this model has been trained to become highly proficient in solving complex mathematical problems. By using a dataset specifically focused on math (Augmentation-Scaling-Laws/math-seed-data), it has gained the ability to handle advanced calculations and mathematical reasoning, making it an ideal assistant for anyone needing help with math-related tasks or challenges.

- **Developed by:** Youri Lalain (@Youlln)
- **Organization:** ECE engineering school



# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Youlln__ECE-Qwen0.5B-FT-V2)

|      Metric       |Value|
|-------------------|----:|
|Avg.               | 7.44|
|IFEval (0-Shot)    |25.26|
|BBH (3-Shot)       | 7.63|
|MATH Lvl 5 (4-Shot)| 1.21|
|GPQA (0-shot)      | 2.24|
|MuSR (0-shot)      | 0.89|
|MMLU-PRO (5-shot)  | 7.40|