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I am using whisper.cpp (most recent commit a56f435) and the large-v3 model and I am getting the impression that the phenomenon of whisper getting stuck in a loop of repeating the same sentence over and over again is getting much more frequent than it used to be.
I am aware that this is not a new issue as such and I only have anecdotal evidence to suggest that it has been getting more frequent. Are there any parameters I can use to trade accuracy and/or to avoid this behavior even at the cost of some speed?
The text was updated successfully, but these errors were encountered:
Do not use large-v3. I haven't checked what is the status recently, but last time I did this model did not work well even with the original OpenAI repo. Try using v2 instead
Do not use large-v3. I haven't checked what is the status recently, but last time I did this model did not work well even with the original OpenAI repo. Try using v2 instead
Thanks for your fast reply. I used large-v2 on the same file and the loop does not occur. Recognition quality is slightly worse, but nothing that I didn't expect. If this is a problem with the model itself, I should be reporting that to openAI directly.
I am using whisper.cpp (most recent commit a56f435) and the large-v3 model and I am getting the impression that the phenomenon of whisper getting stuck in a loop of repeating the same sentence over and over again is getting much more frequent than it used to be.
I am aware that this is not a new issue as such and I only have anecdotal evidence to suggest that it has been getting more frequent. Are there any parameters I can use to trade accuracy and/or to avoid this behavior even at the cost of some speed?
The text was updated successfully, but these errors were encountered: