|
--- |
|
license: apache-2.0 |
|
library_name: transformers |
|
base_model: |
|
- NousResearch/Hermes-2-Pro-Mistral-7B |
|
datasets: |
|
- jondurbin/gutenberg-dpo-v0.1 |
|
- nbeerbower/gutenberg2-dpo |
|
model-index: |
|
- name: Hermes2-Gutenberg2-Mistral-7B |
|
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: 37.21 |
|
name: strict accuracy |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Hermes2-Gutenberg2-Mistral-7B |
|
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: 28.91 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Hermes2-Gutenberg2-Mistral-7B |
|
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: 5.66 |
|
name: exact match |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Hermes2-Gutenberg2-Mistral-7B |
|
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: 5.26 |
|
name: acc_norm |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Hermes2-Gutenberg2-Mistral-7B |
|
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: 16.92 |
|
name: acc_norm |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Hermes2-Gutenberg2-Mistral-7B |
|
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: 22.14 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Hermes2-Gutenberg2-Mistral-7B |
|
name: Open LLM Leaderboard |
|
--- |
|
![image/png](https://huggingface.co/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B/resolve/main/doppel-header?download=true) |
|
|
|
# Hermes2-Gutenberg2-Mistral-7B |
|
|
|
[NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B) finetuned on [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1) and [nbeerbower/gutenberg2-dpo](https://huggingface.co/datasets/nbeerbower/gutenberg2-dpo). |
|
|
|
### Method |
|
|
|
[ORPO tuned](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) with 2x RTX 3090 for 3 epochs. |
|
# [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_nbeerbower__Hermes2-Gutenberg2-Mistral-7B) |
|
|
|
| Metric |Value| |
|
|-------------------|----:| |
|
|Avg. |19.35| |
|
|IFEval (0-Shot) |37.21| |
|
|BBH (3-Shot) |28.91| |
|
|MATH Lvl 5 (4-Shot)| 5.66| |
|
|GPQA (0-shot) | 5.26| |
|
|MuSR (0-shot) |16.92| |
|
|MMLU-PRO (5-shot) |22.14| |
|
|
|
|