Translation en→Set1 COMET22
COMET-22 is an ensemble machine translation evaluation metric combining a COMET estimator model trained with Direct Assessments and a multitask model that predicts sentence-level scores and word-level OK/BAD tags. It demonstrates improved correlations compared to state-of-the-art metrics and increased robustness to critical errors.
Nova Pro from Amazon currently leads the Translation en→Set1 COMET22 leaderboard with a score of 0.891 across 3 evaluated AI models.
What Translation en→Set1 COMET22 measures
Translation en→Set1 COMET22 is a text benchmark that evaluates large language models on language tasks. LLM Stats tracks 3 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.9, with the leader reaching 0.9.
Compare leaders on the best AI for language leaderboards.
Nova Pro leads with 89.1%, followed by Nova Lite at 88.8% and Nova Micro at 88.5%.
Progress Over Time
Interactive timeline showing model performance evolution on Translation en→Set1 COMET22
Translation en→Set1 COMET22 Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Amazon | — | — | — | ||
| 2 | Amazon | — | — | — | ||
| 3 | Amazon | — | — | — |
FAQ
Common questions about Translation en→Set1 COMET22.
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