Garbage_9B / README.md
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Adding Evaluation Results
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---
language:
- en
license: apache-2.0
library_name: transformers
base_model:
- ChaoticNeutrals/InfinityNexus_9B
- jeiku/luna_lora_9B
datasets:
- ResplendentAI/Luna_Alpaca
model-index:
- name: Garbage_9B
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: 63.65
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/Garbage_9B
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: 82.97
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/Garbage_9B
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: 64.18
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/Garbage_9B
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: 47.87
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/Garbage_9B
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: 80.43
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/Garbage_9B
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: 54.13
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeiku/Garbage_9B
name: Open LLM Leaderboard
---
# Garbage
![image/png](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/EX9x2T18il0IKsqP6hKUy.png)
This is a finetune of InfinityNexus_9B. This is my first time tuning a frankenmerge, so hopefully it works out. The goal is to improve intelligence and RP ability beyond the 7B original 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_jeiku__Garbage_9B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |65.54|
|AI2 Reasoning Challenge (25-Shot)|63.65|
|HellaSwag (10-Shot) |82.97|
|MMLU (5-Shot) |64.18|
|TruthfulQA (0-shot) |47.87|
|Winogrande (5-shot) |80.43|
|GSM8k (5-shot) |54.13|