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In the encoder of Whisper models, the encoder.embed_positions.weight was initialized using sine and cosine functions of different frequencies. However, in the decoder of Whisper models, the decoder.embed_positions.weight consists of trainable parameters that are initialized using random noise. But why is this the case?
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In the encoder of Whisper models, the
encoder.embed_positions.weight
was initialized using sine and cosine functions of different frequencies. However, in the decoder of Whisper models, thedecoder.embed_positions.weight
consists of trainable parameters that are initialized using random noise. But why is this the case?Beta Was this translation helpful? Give feedback.
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