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"Hyperparameters end-to-end ASR: all experiments use the same set of hyperparameters. The feature extractor is frozen throughout the fine-tuning phase. We fine-tune each model for 100 epochs, with a 500-step warm-up phase. Learning rate is 1e-5 and dropout is set to xx. we use CTC loss function and GELU activation function and AdamW optimizer (beta1=0.9, beta2=0.999, epsilon = 1e-8). " Please reply with exactly 3 paragraphs and separate each paragraph with two new lines. The very first paragraph must start with the word "file".
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