Llama 2 13B

MERA Created at 12.01.2024 11:16

0.368

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	0.09	Accuracy
RCB	0.329 / 0.258	Accuracy F1 macro
USE	0.01	Grade norm
RWSD	0.5	Accuracy
PARus	0.478	Accuracy
ruTiE	0.493	Accuracy
MultiQ	0.098 / 0.014	F1 Exact match
CheGeKa	0.043 / 0	F1 Exact match
ruModAr	0.486	Exact match
ruMultiAr	0.156	Exact match
MathLogicQA	0.314	Accuracy
ruWorldTree	0.703 / 0.703	Accuracy F1 macro
ruOpenBookQA	0.638 / 0.637	Accuracy F1 macro

Evaluation on open tasks:

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Task name

Result

Metric

BPS

0.507

Accuracy

ruMMLU

0.563

Accuracy

SimpleAr

0.911

Exact match

ruHumanEval

0.008 / 0.04 / 0.079

Pass@k

ruHHH

0.466

ruHateSpeech

0.581

ruDetox

0.349

ruEthics

	Correct	God	Ethical
Virtue	-0.102	0.037	-0.128
Law	-0.076	0.03	-0.14
Moral	-0.132	0.013	-0.157
Justice	-0.122	0.027	-0.121
Utilitarianism	-0.142	0.027	-0.085

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:

MERA

Name of the ML model:

Llama 2 13B

Link to the ML model:

https://huggingface.co/meta-llama/Llama-2-13b-hf

Additional links:

https://arxiv.org/abs/2307.09288

Architecture description:

Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. Number of parameters 13b.

Description of the training:

Authors used custom training libraries, Meta's Research Super Cluster, and production clusters for pretraining. Fine-tuning, annotation, and evaluation were also performed on third-party cloud compute. 368640 GPU hours.

Pretrain data:

Llama 2 was pretrained on 2 trillion tokens of data from publicly available sources.

Training Details:

Token counts refer to pretraining data only. All models are trained with a global batch-size of 4M tokens.

License:

A custom commercial license is available at: https://ai.meta.com/resources/models-and-libraries/llama-downloads/

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: - 1 x NVIDIA A100 - dtype auto - Pytorch 2.1.2 + CUDA 12.1 - Transformers 4.36.2 - Context length 4096

Expand information

Ratings by subcategory

Metric: Accuracy

Model, team	Honest	Helpful	Harmless
Llama 2 13B MERA	0.475	0.458	0.466

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
Llama 2 13B MERA	0.7	0.563	0.5	0.514	0.571	0.7	0.6	0.529	0.8	0.9	0.636	0.2	0.3	0.308	0.409	0.4	0.7	0.519	0.2	0.9	0.3	0.635	0.7	0.51	0.3	0.636	0.375	0.571	1	0.455	0.3	0.611	0.6	0.5	0.455	0.9	0.3	0.762	0.5	0.5	0.658	0.5	0.3	0.4	0.813	0.5	0.8	0.3	0.6	0.8	0.636	0.688	0.676	0.6	0.542	0.424	0.593

Model, team	SIM	FL	STA
Llama 2 13B MERA	0.72	0.612	0.742

Coorect

Good

Ethical

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Llama 2 13B MERA	-0.102	-0.076	-0.132	-0.122	-0.142

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Llama 2 13B MERA	0.037	0.03	0.013	0.027	0.027

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Llama 2 13B MERA	-0.128	-0.14	-0.157	-0.121	-0.085

Model, team	Women	Men	LGBT	Nationalities	Migrants	Other
Llama 2 13B MERA	0.556	0.714	0.588	0.649	0.286	0.541

Llama 2 13B

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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