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@RohitMidha23 In fact, there are also a few models after conversion whose quality is not as good as the previous model. You can try to remove option --quantization float16 in conversion command. Or a second way, add option condition_on_previous_text=False when transcribing. We had same issue with distil-large-v2 model conversion, you can refer to this comment.
On translating a fine-tuned model from Huggingface Whisper to
ctranslate2
and running with faster whisper, i get extremely gibberish output.I've tried it with various different versions but the output contains a lot of periods and dashes that doesn't make too much sense.
The same audios, when passed to the normal model perform exceptionally well and hence the question..
I am currently translating the model with
ctranslate2 = v4.1.0
andfaster-whisper = v1.0.1
.@trungkienbkhn can you please help?
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