For the labeled dataset utilized in the fine-tuning and testing of the model, we select data from the \textcolor{red}{NCA}  dataset that also use NCA as the positive electrode and possess similar or the same battery parameters as the pre-training dataset. Moreover, the working conditions and charge-discharge protocols for batteries are also similar. Consistent with the literature [], we also performed the task of predicting the complete charging curve with an input window length of 300mV. The root-mean-square error (RMSE) of the charging curve estimation to ground truth was calculated based on the test NASA dataset. The reproducibility and reliability of the models were repeated five times. The results are shown in Figure 2A and Table \ref{table:rmse_comp}.  
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