24 lines
1.0 KiB
Markdown
24 lines
1.0 KiB
Markdown
---
|
|
license: apache-2.0
|
|
datasets:
|
|
- itsliupeng/mmlu_recall
|
|
language:
|
|
- en
|
|
pipeline_tag: text-generation
|
|
---
|
|
|
|
We are utilizing the [mmlu_recall](https://huggingface.co/datasets/itsliupeng/mmlu_recall) dataset to continuously train the [Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) model, aiming to enhance performance on mmlu metrics, while ensuring that other metric performances remain unaffected.
|
|
|
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_itsliupeng__llama2_7b_mmlu)
|
|
|
|
| Metric | Value |
|
|
|-----------------------|---------------------------|
|
|
| Avg. | 46.31 |
|
|
| ARC (25-shot) | 56.14 |
|
|
| HellaSwag (10-shot) | 79.13 |
|
|
| MMLU (5-shot) | 60.04 |
|
|
| TruthfulQA (0-shot) | 40.95 |
|
|
| Winogrande (5-shot) | 74.43 |
|
|
| GSM8K (5-shot) | 7.88 |
|
|
| DROP (3-shot) | 5.59 | |