openai/whisper-large-v3-turbo
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@ -493,12 +493,7 @@ In particular, we caution against using Whisper models to transcribe recordings
## Training Data
TODO
The large-v3 checkpoint is trained on 1 million hours of weakly labeled audio and 4 million hours of pseudo-labeled audio collected using Whisper large-v2.
As discussed in [the accompanying paper](https://cdn.openai.com/papers/whisper.pdf), we see that performance on transcription in a given language is directly correlated with the amount of training data we employ in that language.
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## Performance and Limitations