EmbeddingGemma 2 fine-tuned for 3 hours tops 8 Vietnamese ASR benchmarks at 356M params

stablequan · x · 2026-10-23

Google's Gemma team amplified a community result: fine-tuning EmbeddingGemma 2 on just 3,000 hours of Vietnamese audio for 3 hours tops 8 Vietnamese ASR benchmarks, without a heavy autoregressive decoder.

Benchmark charts show the 356M-param EmbeddingGemma2-ASR-vi averaging 6.87% WER, beating Gemini-Flash-3.8 (6.92%), MAI-Transcribe-2.0, Cohere Transcribe, Qwen3-ASR-1.7B and the entire Whisper family, with a low of 1.62% WER on bud500.

Original post →

More from Models

Models channel →