GIanlucaRub
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README.md
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper Tiny it 4
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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value: 41.3546866333888
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# Whisper Tiny it 4
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## Model description
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This model is the openai whisper small transformer adapted for Italian audio to text transcription. This model has weight decay set to 0.1 to cope with overfitting. The learning rate has been set to 5e-5 in the hyperparameter tuning process and it improved the performance on the evaluation set.
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## Intended uses & limitations
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The model is available through its [HuggingFace web app](https://huggingface.co/spaces/GIanlucaRub/whisper-it)
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## Training and evaluation data
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Data used for training is the initial 10% of train and validation of [Italian Common Voice](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/viewer/it/train) 11.0 from Mozilla Foundation.
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The dataset used for evaluation is the initial 10% of test of Italian Common Voice.
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## Training procedure
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After loading the pre trained model, it has been trained on the dataset.
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### Training hyperparameters
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The following hyperparameters were used during training:
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