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TranslateGemma Tops Subtitle Benchmarks, But...

TranslateGemma Tops Subtitle Benchmarks, But...
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๐Ÿค–Read original on Reddit r/MachineLearning

๐Ÿ’กTranslateGemma #1 in benchmarks, but metrics miss Chinese script errors

โšก 30-Second TL;DR

What Changed

TranslateGemma-12b #1 TQI avg 0.6335 across Spanish, Japanese, Korean, Thai, zh-CN, zh-TW.

Why It Matters

Shows metrics gaps in translation eval; TranslateGemma strong but needs lang code fixes.

What To Do Next

Test TranslateGemma with zh-Hant tag on your subtitle pipelines.

Who should care:Researchers & Academics

Key Points

  • โ€ขTranslateGemma-12b #1 TQI avg 0.6335 across Spanish, Japanese, Korean, Thai, zh-CN, zh-TW.
  • โ€ขGemini Flash Lite beats larger models like Claude Sonnet.
  • โ€ขHuman review: 76% Simplified output for zh-TW; metrics scored it highly anyway.
  • โ€ขClaude collapses in Japanese fidelity.
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Original source: Reddit r/MachineLearning โ†—