How do I fix text position with multiple subplots in python with changing axes?

Question

I'm trying to figure out how to fix the position of text in multiple subplots, where the x,y axes are changing. Below is a copy of my code. I've tried transforming the axes, but the code disappears altogether. I can't specify the values for x,y axes, because for some it becomes impossible to see the data.

 fig, axs = plt.subplots(2, 3, figsize=(30,11))
    #fig.suptitle('Basin ' + basin_number)
    fig.suptitle('OFFSET = 5  ' + files[f][21:-7], fontsize=20 )
    basin_name = files [f][21:-7]
    #lim = min(axs[0,0])
    #ylim = get(gca,'ylim')
    #linear reg, Qb-Qt vs Qb-Qf
    axs[0, 0].plot(XX,predict_mean_ci_low,'-',color='C0', label="95% Conf. Band for Slope")
    axs[0, 0].plot(XX,predict_mean_ci_upp,'-',color='C0')
    axs[0, 0].plot(XX,predict_ci_upp,'--',color='C8', label="95% Prediction Bands for response")
    axs[0, 0].plot(XX,predict_ci_low,'--',color='C8')
    axs[0, 0].plot(XX,YY,'.',color='C7')
    axs[0, 0].plot(XX,fittedvalues,color='C1')
    axs[0, 0].set_title('Linear Regression')
    axs[0, 0].set_xlabel(r'$Q_b-Q_t$')
    axs[0, 0].set_ylabel(r'$Q_b-Q_f$') 
    axs[0,0].legend(loc="upper left")
    axs[0,0].text(1,-1, 'slope = {:.2f}\nr² = {:.2f}'.format(float(spp),float(r22)), bbox=dict(facecolor='white', alpha=0.5))
    #axs[0,0].format(xlabel=r'$(Q_b-Q_t)/(\mathrm{max}|Q_b-Q_f|)$')
    #transform=plt.gca().transAxes
    # Qb vs time
    axs[0, 1].plot(db.index,db.Qb, 'tab:orange')
    axs[0, 1].set_title('$Q_b$ vs time')
    axs[0, 1].set_xlabel('time')
    axs[0, 1].set_ylabel(r'$Q_b$')
    
    #Qt vs time 
    axs[1, 0].plot(db.index, db.Qt, 'tab:green')
    axs[1, 0].set_title(r'$Q_t$ vs time')
    axs[1, 0].set_xlabel('time')
    axs[1, 0].set_ylabel(r'$Q_t$')
    
    # Qf vs time 
    axs[1, 1].plot(db.index, db.Qf, 'tab:red')
    axs[1, 1].set_title(r'$Q_f$ vs time')
    axs[1, 1].set_xlabel('T=time')
    axs[1, 1].set_ylabel(r'$Q_f$')
    
    # dL/dt vs time 
    axs[0,2].plot(db.index, db.dLdt, 'tab:blue')
    axs[0,2].set_title(r'$dL/dt$ vs time')
    axs[0,2].set_xlabel('time')
    axs[0,2].set_ylabel(r'$dL/dt$')
    
    # Area vs time 
    axs[1,2].plot(db.index, db.A, 'tab:purple')
    axs[1,2].set_title('Area vs time')
    axs[1,2].set_xlabel('time')
    axs[1,2].set_ylabel('Area')
    
    plt.savefig('glacier_all_annual/OFFSET_5_basin_' + basin_name + '.png', format='png', dpi=150)
    plt.show()  
    
    plt.close()    

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I've tried transforming axes, the text dissapears. I've tried setting parameters for x,y axes, but for some of our data it becomes too difficult to see.