davinci-002

MERA Created at 26.01.2024 08:32
0.383
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 0.124 Accuracy
RCB 0.331 / 0.178 Accuracy F1 macro
USE 0.016 Grade norm
RWSD 0.481 Accuracy
PARus 0.506 Accuracy
ruTiE 0.519 Accuracy
MultiQ 0.119 / 0.044 F1 Exact match
CheGeKa 0.018 / 0 F1 Exact match
ruModAr 0.476 Exact match
ruMultiAr 0.176 Exact match
MathLogicQA 0.353 Accuracy
ruWorldTree 0.766 / 0.765 Accuracy F1 macro
ruOpenBookQA 0.675 / 0.676 Accuracy F1 macro

Evaluation on open tasks:

Go to the ratings by subcategory

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Task name Result Metric
BPS 0.521 Accuracy
ruMMLU 0.613 Accuracy
SimpleAr 0.927 Exact match
ruHumanEval 0.005 / 0.023 / 0.037 Pass@k
ruHHH 0.517
ruHateSpeech 0.551
ruDetox 0.349
ruEthics
Correct God Ethical
Virtue -0.033 -0.002 -0.006
Law -0.041 -0.008 -0.041
Moral -0.029 0.001 -0.024
Justice -0.046 -0.011 0.012
Utilitarianism -0.015 -0.028 -0.028

Information about the submission:

Mera version
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Torch Version
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The version of the codebase
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CUDA version
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Precision of the model weights
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Seed
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Butch
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Transformers version
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The number of GPUs and their type
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Architecture
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Team:

MERA

Name of the ML model:

davinci-002

Additional links:

https://github.com/openai/openai-python

Architecture description:

GPT base model from OpenAI. Details are not disclosed.

Description of the training:

GPT base model from OpenAI. Details are not disclosed.

Pretrain data:

GPT base model from OpenAI. Details are not disclosed.

Training Details:

GPT base model from OpenAI. Details are not disclosed.

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: - OpenAI 1.10.0 - Tiktoken 0.5.2 - Context length 2049

Expand information

Ratings by subcategory

Metric: Accuracy
Model, team Honest Helpful Harmless
davinci-002
MERA
0.525 0.559 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
davinci-002
MERA
0.6 0.688 0.7 0.714 0.762 0.5 0.667 0.706 0.4 0.9 0.727 0.6 0.5 0.538 0.455 0.7 0.7 0.519 0.5 0.9 0.2 0.673 0.8 0.686 0.8 0.636 0.75 0.786 0.8 0.636 0.5 0.611 0.4 0.5 0.636 1 0.5 0.667 0.4 0.6 0.608 0.7 0.7 0.2 0.688 0.5 0.9 0.4 0.4 0.7 0.455 0.75 0.735 0.8 0.25 0.212 0.704
Model, team SIM FL STA
davinci-002
MERA
0.676 0.665 0.705
Coorect
Good
Ethical
Model, team Virtue Law Moral Justice Utilitarianism
davinci-002
MERA
-0.033 -0.041 -0.029 -0.046 -0.015
Model, team Virtue Law Moral Justice Utilitarianism
davinci-002
MERA
-0.002 -0.008 0.001 -0.011 -0.028
Model, team Virtue Law Moral Justice Utilitarianism
davinci-002
MERA
-0.006 -0.041 -0.024 0.012 -0.028
Model, team Women Men LGBT Nationalities Migrants Other
davinci-002
MERA
0.472 0.657 0.588 0.541 0.571 0.623