Evaluation Summary: Glimmer-1-Base

#2
by GODELEV - opened

MEMORANDUM

TO: Glint-Research Team / Model Owner
SUBJECT: Evaluation Summary: Glimmer-1-Base

A comprehensive evaluation suite has been completed for Glint-Research/Glimmer-1-Base. The data below reflects the baseline performance across standard language modeling, reasoning, knowledge, and linguistic benchmarks.

Benchmark Evaluation Metrics

Category Benchmark Metric Score / Value Status
Linguistics & Grammar COPA Accuracy 61.00% Success
BLiMP Accuracy 54.34% Success
Commonsense & Reasoning BoolQ Accuracy 62.08% Success
WinoGrande Accuracy 49.01% Success
PIQA Normalized Accuracy 48.04% Success
TruthfulQA MC2 Accuracy 46.96% Success
HellaSwag Normalized Accuracy 25.08% Success
SWAG Normalized Accuracy 24.89% Success
RACE Accuracy 20.86% Success
CommonsenseQA Accuracy 19.57% Success
Academic & Knowledge OpenBookQA Normalized Accuracy 28.20% Success
ARC-Easy Normalized Accuracy 26.47% Success
ARC-Challenge Normalized Accuracy 25.34% Success
SciQ Normalized Accuracy 23.00% Success
MMLU Accuracy 22.95% Success
Language Modeling WikiText-2 (Byte) Byte Perplexity 14.73 Success
LAMBADA Accuracy 0.00% Success
WikiText-2 (Word) Word Perplexity 1,764,896.00 Success

Best regards,
Akshit

GlintResearch org

Your benchmark results have already been merged πŸ”₯
Great job, also you got here quick lol

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