This model is a fine-tuned version of
openai/whisper-tiny on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
This model is the openai whisper small transformer adapted for Italian audio to text transcription.
As part of the hyperparameter tuning process weight decay set to 0.1, attention dropout, encoder dropout and decoder dropout have been set to 0.1,
the learning rate has been set to 1e-6, the number of decoder attention heads and encoder attention heads have been set to 8
however, it did not improved the performance on the evaluation set.
The model is available through its
HuggingFace web appData used for training is the initial 10% of train and validation of
Italian Common Voice 11.0 from Mozilla Foundation.
The dataset used for evaluation is the initial 10% of test of Italian Common Voice.
After loading the pre trained model, it has been trained on the dataset.
