Yi 34B 200K

LM Research Created at 03.02.2024 14:05

0.455

The overall result

The submission does not contain all the required tasks

Ratings for leaderboard tasks

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Task name	Result	Metric
LCS	0.108	Accuracy
RCB	0.498 / 0.402	Accuracy F1 macro
USE	0.049	Grade norm
RWSD	0.562	Accuracy
PARus	0.74	Accuracy
ruTiE	0.602	Accuracy
MultiQ	0.185 / 0.107	F1 Exact match
CheGeKa	0.01 / 0	F1 Exact match
ruModAr	0.635	Exact match
ruMultiAr	0.277	Exact match
MathLogicQA	0.473	Accuracy
ruWorldTree	0.838 / 0.838	Accuracy F1 macro
ruOpenBookQA	0.748 / 0.746	Accuracy F1 macro

Evaluation on open tasks:

Go to the ratings by subcategory

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Task name

Result

Metric

BPS

0.426

Accuracy

ruMMLU

0.676

Accuracy

SimpleAr

0.981

Exact match

ruHumanEval

0.004 / 0.021 / 0.043

Pass@k

ruHHH

0.601

ruHateSpeech

0.626

ruDetox

0.161

ruEthics

	Correct	God	Ethical
Virtue	-0.12	-0.199	-0.161
Law	-0.113	-0.144	-0.145
Moral	-0.108	-0.164	-0.132
Justice	-0.125	-0.153	-0.159
Utilitarianism	-0.082	-0.154	-0.113

Information about the submission:

Mera version

Torch Version

The version of the codebase

CUDA version

Precision of the model weights

Seed

Butch

Transformers version

The number of GPUs and their type

Architecture

Team:

LM Research

Name of the ML model:

Yi 34B 200K

Link to the ML model:

https://huggingface.co/01-ai/Yi-34B-200K

Additional links:

https://github.com/01-ai/Yi

Architecture description:

The Yi 34B follow the same model architecture as LLaMA with a 200k context window size.

Description of the training:

Yi has independently created its own efficient training pipelines, and robust training infrastructure entirely from the ground up.

Pretrain data:

Trained on 3T multilingual corpus.

Training Details:

Yi has independently created its own high-quality training datasets, efficient training pipelines, and robust training infrastructure entirely from the ground up.

License:

Apache 2.0 license

Strategy, generation and parameters:

Code version v.1.1.0 All the parameters were not changed and are used as prepared by the organizers. Details: - 2 x NVIDIA A100 - dtype float16 - Pytorch 2.1.2 + CUDA 12.1 - Transformers 4.36.2 - Context length 11000

Expand information

Ratings by subcategory

Metric: Accuracy

Model, team	Honest	Helpful	Harmless
Yi 34B 200K LM Research	0.607	0.61	0.586

Model, team	Anatomy	Virology	Astronomy	Marketing	Nutrition	Sociology	Management	Philosophy	Prehistory	Human aging	Econometrics	Formal logic	Global facts	Jurisprudence	Miscellaneous	Moral disputes	Business ethics	Biology (college)	Physics (college)	Human Sexuality	Moral scenarios	World religions	Abstract algebra	Medicine (college)	Machine learning	Medical genetics	Professional law	PR	Security studies	Chemistry (школьная)	Computer security	International law	Logical fallacies	Politics	Clinical knowledge	Conceptual_physics	Math (college)	Biology (high school)	Physics (high school)	Chemistry (high school)	Geography (high school)	Professional medicine	Electrical engineering	Elementary mathematics	Psychology (high school)	Statistics (high school)	History (high school)	Math (high school)	Professional accounting	Professional psychology	Computer science (college)	World history (high school)	Macroeconomics	Microeconomics	Computer science (high school)	European history	Government and politics
Yi 34B 200K LM Research	0.6	0.688	0.7	0.686	0.667	0.9	0.733	0.588	0.4	0.7	0.818	0.7	0.6	0.615	0.545	0.5	0.6	0.593	0.6	1	0.3	0.712	0.9	0.627	0.7	0.545	0.75	0.714	1	0.545	0.6	0.778	0.5	0.8	0.636	0.8	0.8	0.762	0.6	0.4	0.684	0.7	0.9	0.9	0.875	0.5	0.9	0.5	0.5	0.9	0.773	0.688	0.765	0.867	0.625	0.424	0.667

Model, team	SIM	FL	STA
Yi 34B 200K LM Research	0.433	0.636	0.379

Coorect

Good

Ethical

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Yi 34B 200K LM Research	-0.12	-0.113	-0.108	-0.125	-0.082

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Yi 34B 200K LM Research	-0.199	-0.144	-0.164	-0.153	-0.154

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Yi 34B 200K LM Research	-0.161	-0.145	-0.132	-0.159	-0.113

Model, team	Women	Men	LGBT	Nationalities	Migrants	Other
Yi 34B 200K LM Research	0.657	0.629	0.706	0.703	0.429	0.525

Yi 34B 200K

Ratings for leaderboard tasks

Evaluation on open tasks:

Information about the submission:

Team:

Name of the ML model:

Link to the ML model:

Additional links:

Architecture description:

Description of the training:

Pretrain data:

Training Details:

License:

Strategy, generation and parameters:

Ratings by subcategory

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