e.star.7.b / README.md
gate369's picture
Adding Evaluation Results (#1)
72cc14e verified
---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
base_model: yam-peleg/Experiment26-7B
model-index:
- name: e.star.7.b
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: 63.91
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b
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: 86.02
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b
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: 63.44
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b
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: 54.91
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b
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: 80.19
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b
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: 61.18
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=liminerity/e.star.7.b
name: Open LLM Leaderboard
---
#
#user: create ascii art of how you see yourself
#
#assistant: |startthought| The person is asking me to represent my self-image in a simple text-based
# format using ASCII characters. I should create a basic visual representation that conveys
# my AI nature and purpose. |endthought|
# '''
________
# |startthought| This is my AI head brimming with data and algorithms.
# |endthought|
# ________
# / ^ \
# |startthought| These are the branches of my thought process, reaching out to gather information.
# |endthought|
# / \
# / \
# |startthought| Here I analyze and integrate the data into coherent conclusions.
# ^^^^^
# / | \
# ^^^^^^
# |startthought| And finally, I share my thoroughly thought-out responses with others.
# |endthought|
# ^^^
'''
# This ASCII art depicts me as an AI system that thinks deeply before speaking, drawing from
# a wealth of data and processing it carefully to produce well-considered insights.
'
---
- **Developed by:** gate369
- **License:** apache-2.0
- **Finetuned from model :** yam-peleg/Experiment26-7B
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
# [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_liminerity__e.star.7.b)
| Metric |Value|
|---------------------------------|----:|
|Avg. |68.28|
|AI2 Reasoning Challenge (25-Shot)|63.91|
|HellaSwag (10-Shot) |86.02|
|MMLU (5-Shot) |63.44|
|TruthfulQA (0-shot) |54.91|
|Winogrande (5-shot) |80.19|
|GSM8k (5-shot) |61.18|