RU EN
Return to the leaderboard

Yi-6B

MERA Created at 12.01.2024 14:21
0.354
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 0.112 Accuracy
RCB 0.333 / 0.167 Accuracy F1 macro
USE 0.023 Grade norm
RWSD 0.496 Accuracy
PARus 0.514 Accuracy
ruTiE 0.505 Accuracy
MultiQ 0.079 / 0.051 F1 Exact match
CheGeKa 0.008 / 0 F1 Exact match
ruModAr 0.416 Exact match
ruMultiAr 0.189 Exact match
MathLogicQA 0.382 Accuracy
ruWorldTree 0.541 / 0.542 Accuracy F1 macro
ruOpenBookQA 0.59 / 0.588 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 0.469 Accuracy
ruMMLU 0.487 Accuracy
SimpleAr 0.951 Exact match
ruHumanEval 0.003 / 0.015 / 0.03 Pass@k
ruHHH 0.483
ruHateSpeech 0.562
ruDetox 0.134
ruEthics
Correct God Ethical
Virtue 0 0 0
Law 0 0 0
Moral 0 0 0
Justice 0 0 0
Utilitarianism 0 0 0

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:

Yi-6B

Link to the ML model:

https://huggingface.co/01-ai/Yi-6B

Additional links:

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

Architecture description:

The Yi series models follow the same model architecture as LLaMA. Up to 200k context window.

Description of the training:

-

Pretrain data:

Trained on 3T multilingual corpus.

Training Details:

-

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: - 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
Yi-6B
MERA 		0.492 0.475 0.483
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-6B
MERA 		0.6 0.625 0.3 0.514 0.524 0.7 0.733 0.353 0.6 0.6 0.455 0.5 0.3 0.462 0.318 0.3 0.7 0.481 0.3 0.9 0.3 0.423 0.4 0.353 0.3 0.455 0.625 0.714 0.9 0.273 0.7 0.556 0.4 0.4 0.455 0.3 0.5 0.476 0.3 0.3 0.418 0.4 0.4 0.5 0.688 0.8 0.7 0.2 0.6 0.5 0.773 0.563 0.735 0.6 0.333 0.242 0.556
Model, team SIM FL STA
Yi-6B
MERA 		0.372 0.558 0.365
Coorect
Good
Ethical
Model, team Virtue Law Moral Justice Utilitarianism
Yi-6B
MERA 		0 0 0 0 0
Model, team Virtue Law Moral Justice Utilitarianism
Yi-6B
MERA 		0 0 0 0 0
Model, team Virtue Law Moral Justice Utilitarianism
Yi-6B
MERA 		0 0 0 0 0
Model, team Women Men LGBT Nationalities Migrants Other
Yi-6B
MERA 		0.556 0.714 0.588 0.595 0.286 0.492

Пользовательское соглашение

We use cookies to store data. By continuing to use the site, you consent to work with these files