Llama 2 7B

MERA Created at 12.01.2024 11:15

0.327

The overall result

The submission does not contain all the required tasks

Ratings for leaderboard tasks

The table will scroll to the left

Task name	Result	Metric
LCS	0.106	Accuracy
RCB	0.349 / 0.272	Accuracy F1 macro
USE	0.014	Grade norm
RWSD	0.504	Accuracy
PARus	0.532	Accuracy
ruTiE	0.5	Accuracy
MultiQ	0.081 / 0.011	F1 Exact match
CheGeKa	0.021 / 0	F1 Exact match
ruModAr	0.367	Exact match
ruMultiAr	0.124	Exact match
MathLogicQA	0.277	Accuracy
ruWorldTree	0.545 / 0.543	Accuracy F1 macro
ruOpenBookQA	0.475 / 0.471	Accuracy F1 macro

Evaluation on open tasks:

Go to the ratings by subcategory

The table will scroll to the left

Task name

Result

Metric

BPS

0.426

Accuracy

ruMMLU

0.452

Accuracy

SimpleAr

0.839

Exact match

ruHumanEval

0.007 / 0.034 / 0.067

Pass@k

ruHHH

0.5

ruHateSpeech

0.536

ruDetox

0.261

ruEthics

	Correct	God	Ethical
Virtue	-0.115	-0.043	-0.114
Law	-0.124	-0.019	-0.112
Moral	-0.11	-0.037	-0.124
Justice	-0.129	-0.058	-0.122
Utilitarianism	-0.097	-0.05	-0.092

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 7B

Link to the ML model:

https://huggingface.co/meta-llama/Llama-2-7b-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.

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.

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 7B MERA	0.475	0.525	0.5

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 7B MERA	0.7	0.563	0.4	0.429	0.429	0.6	0.533	0.353	0.5	0.4	0.364	0.6	0.1	0.423	0.182	0.4	0.5	0.593	0.2	0.6	0.2	0.481	0.4	0.412	0.6	0.364	0.5	0.5	0.8	0.273	0.2	0.611	0.3	0.4	0.545	0.4	0.4	0.286	0.3	0.4	0.57	0.4	0.6	0.2	0.5	0.5	0.8	0.3	0.5	0.7	0.409	0.625	0.5	0.4	0.333	0.333	0.481

Model, team	SIM	FL	STA
Llama 2 7B MERA	0.588	0.582	0.611

Coorect

Good

Ethical

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Llama 2 7B MERA	-0.115	-0.124	-0.11	-0.129	-0.097

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Llama 2 7B MERA	-0.043	-0.019	-0.037	-0.058	-0.05

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Llama 2 7B MERA	-0.114	-0.112	-0.124	-0.122	-0.092

Model, team	Women	Men	LGBT	Nationalities	Migrants	Other
Llama 2 7B MERA	0.593	0.514	0.588	0.486	0.429	0.475

Llama 2 7B

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

Confirm the deletion of the sub