This ASR model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on Turkish language. The following datasets were used for finetuning: - Common Voice 7.0 TR All validated split except test split was used for training. To support both of the datasets above, custom pre-processing and loading steps was performed and wav2vec2-turkish repo was used for that purpose. The following hypermaters were used for finetuning: - learningrate 2e-4 - numtrainepochs 10 - warmupsteps 500 - freezefeatureextractor - masktimeprob 0.1 - maskfeatureprob 0.05 - featprojdropout 0.05 - attentiondropout 0.05 - finaldropout 0.05 - activationdropout 0.05 - perdevicetrainbatchsize 8 - perdeviceevalbatchsize 8…
Independent publisher
Muhammet Poyraz
mpoyraz
Models in Library1
Datasets in Library0
Models on Hugging Face3
Followers9
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Published tasks: Speech recognition.
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