Repetitive Phrase Looping about whisper-timestamped

[Jeronymous]

This seems to be a duplicate of #94
You have some suggestion there.

Repetitions are due to model hallucination.
Which model are you using?

[noahuser]

I am using the large model. I already tried everything in #94. I have two MacBooks, one Intel i7 the other one M2 Pro. I tried the same audio with the Intel one, it functions perfectly w/out any Issue. The one with M2 Pro does this hallucinations every time. In the M2 one I "solved" the problem putting this code on my Python (result = transcribe_timestamped(model, audio_file, beam_size=5, best_of=5, temperature=(0.0, 0.2, 0.4, 0.6, 0.8, 1.0))). But usually it takes 1 hour to transcribe the audio, with this kind of setting it actually functions very well, but it takes something like 6 hours pro audio. That's not a big problem, but when It functioned before in an hour it was really beautiful :)

[Jeronymous]

OK, when you say "I use the large model", you have to know there are several versions of the large model (now there are 3).
So if you use model = whisper.load_model("large") in your code, without specifying the version, that might load the latest version.
Which could explain why you experienced a difference of behaviour suddenly.
You can specify the exact version to use, with, e.g. model = whisper.load_model("large-v1") (or "large-v2" whatever was the last one when "it worked flawlessly")