From 4b1ba054ccdd055a6f915e52bb4a943eb0eebcc0 Mon Sep 17 00:00:00 2001 From: Jong Wook Kim Date: Wed, 8 Nov 2023 01:11:19 +0000 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 345453f..9e843d2 100644 --- a/README.md +++ b/README.md @@ -129,7 +129,7 @@ Whisper `large-v3` has the same architecture as the previous large models except The Whisper `large-v3` model is trained on 1 million hours of weakly labeled audio and 4 million hours of pseudolabeled audio collected using Whisper `large-v2`. The model was trained for 2.0 epochs over this mixture dataset. -The `large-v3` model shows improved performance over a wide variety of languages, performs lower than 60% error rate on Common Voice 15 and Fleurs, shows 10% to 20% reduction of errors compared to Whisper `large-v2`. +The `large-v3` model shows improved performance over a wide variety of languages, showing 10% to 20% reduction of errors compared to Whisper `large-v2`. **Disclaimer**: Content for this model card has partly been written by the Hugging Face team, and parts of it were