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  # EAT-base (Epoch 30, Fine-tuned Checkpoint)
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- This is the **fine-tuned version** of the [EAT-base (Epoch 30, Pre-trained Checkpoint)](https://huggingface.co/worstchan/EAT-base_epoch30_pretrain), further trained on the AS-2M dataset. Compared to the pre-trained model, this version provides enhanced feature representations and typically yields better performance in downstream audio understanding tasks such as classification and captioning.
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  For more details on the EAT framework, please refer to the [GitHub repository](https://github.com/cwx-worst-one/EAT) and our paper [EAT: Self-Supervised Pre-Training with Efficient Audio Transformer](https://arxiv.org/abs/2401.03497).
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  # EAT-base (Epoch 30, Fine-tuned Checkpoint)
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+ This is the **fine-tuned version** of the [EAT-base (Epoch 30, Pre-trained Checkpoint)](https://huggingface.co/worstchan/EAT-base_epoch30_pretrain), further trained on the AS-2M dataset. Compared to the pre-trained model, this version provides **enhanced audio representations** and typically yields better performance in downstream audio understanding tasks such as classification and captioning.
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  For more details on the EAT framework, please refer to the [GitHub repository](https://github.com/cwx-worst-one/EAT) and our paper [EAT: Self-Supervised Pre-Training with Efficient Audio Transformer](https://arxiv.org/abs/2401.03497).
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