metadata
language:
- en
license: mit
datasets:
- Sao10K/Claude-3-Opus-Instruct-15K
- abacusai/SystemChat-1.1
- Ba2han/DollyLlama-5k
model-index:
- name: Llama-Phi-3_DoRA
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: 62.29
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA
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: 79.08
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA
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: 69.44
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA
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: 54.08
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA
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: 73.4
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA
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: 68.01
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Ba2han/Llama-Phi-3_DoRA
name: Open LLM Leaderboard
hf-causal-experimental (pretrained='E:/text-generation-webui/models/phi-984-dora'), limit: None, provide_description: False, num_fewshot: 5, batch_size: None
Task | Version | Metric | Value | Stderr | |
---|---|---|---|---|---|
arc_challenge | 0 | acc | 0.5870 | ± | 0.0144 |
acc_norm | 0.6067 | ± | 0.0143 | ||
hendrycksTest-abstract_algebra | 1 | acc | 0.3500 | ± | 0.0479 |
acc_norm | 0.3500 | ± | 0.0479 | ||
hendrycksTest-college_biology | 1 | acc | 0.8264 | ± | 0.0317 |
acc_norm | 0.8264 | ± | 0.0317 | ||
hendrycksTest-college_chemistry | 1 | acc | 0.4900 | ± | 0.0502 |
acc_norm | 0.4900 | ± | 0.0502 | ||
hendrycksTest-college_mathematics | 1 | acc | 0.3900 | ± | 0.0490 |
acc_norm | 0.3900 | ± | 0.0490 | ||
hendrycksTest-college_physics | 1 | acc | 0.4020 | ± | 0.0488 |
acc_norm | 0.4020 | ± | 0.0488 | ||
winogrande | 0 | acc | 0.7309 | ± | 0.0125 |
We have Llama-3 at home!
The model has been trained on filtered versions of tagged datasets, as well as a few thousand more examples generated with llama-3-70B.
Use Zephyr template with any system message. Default system message should be:
You are a smart, friendly and helpful assistant.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 67.72 |
AI2 Reasoning Challenge (25-Shot) | 62.29 |
HellaSwag (10-Shot) | 79.08 |
MMLU (5-Shot) | 69.44 |
TruthfulQA (0-shot) | 54.08 |
Winogrande (5-shot) | 73.40 |
GSM8k (5-shot) | 68.01 |