metadata
license: apache-2.0
model-index:
- name: metadata-test
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
name: normalized accuracy
value: 0.6203071672354948
source:
name: Open LLM Leaderboard
url: https://huggingface.co./datasets/open-llm-leaderboard/details_
- 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
name: normalized accuracy
value: 0.8435570603465445
source:
name: Open LLM Leaderboard
url: https://huggingface.co./datasets/open-llm-leaderboard/details_
- 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: 0.5744916942762855
source:
name: Open LLM Leaderboard
url: https://huggingface.co./datasets/open-llm-leaderboard/details_
- 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
name: accuracy
value: 0.12736921910538287
source:
name: Open LLM Leaderboard
url: https://huggingface.co./datasets/open-llm-leaderboard/details_
- 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
name: accuracy
value: 0.6107
source:
name: Open LLM Leaderboard
url: https://huggingface.co./datasets/open-llm-leaderboard/details_
- 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
name: accuracy
value: 0.7774269928966061
source:
name: Open LLM Leaderboard
url: https://huggingface.co./datasets/open-llm-leaderboard/details_