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---
language:
- en
license: llama2
tags:
- roleplay
- conversational
datasets:
- migtissera/Synthia-v1.3
- open-llm-leaderboard/details_NousResearch__Nous-Hermes-llama-2-7b
pipeline_tag: text-generation
model-index:
- name: L2-7b-Hermes-Synthia
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 51.02
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LTC-AI-Labs/L2-7b-Hermes-Synthia
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 79.12
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LTC-AI-Labs/L2-7b-Hermes-Synthia
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 47.88
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LTC-AI-Labs/L2-7b-Hermes-Synthia
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 46.77
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LTC-AI-Labs/L2-7b-Hermes-Synthia
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 74.51
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LTC-AI-Labs/L2-7b-Hermes-Synthia
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 13.95
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LTC-AI-Labs/L2-7b-Hermes-Synthia
name: Open LLM Leaderboard
---
Fine-tuned the synthia dataset on the hermes2 7b model
In my opinion it's probably the best model I fine-tuned in-terms of role-playing (tested on LavernAI)
Future plans:
- I'll probably do more test in other areas
- Will add other languages (Potentially japanese and chinese)
- Finetune it on mistral models?
# [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_LTC-AI-Labs__L2-7b-Hermes-Synthia)
| Metric |Value|
|---------------------------------|----:|
|Avg. |52.21|
|AI2 Reasoning Challenge (25-Shot)|51.02|
|HellaSwag (10-Shot) |79.12|
|MMLU (5-Shot) |47.88|
|TruthfulQA (0-shot) |46.77|
|Winogrande (5-shot) |74.51|
|GSM8k (5-shot) |13.95|
|