We present the best 265 sampled R-band light curves of spectroscopically identified Type Ia supernovae ( SNe ) from the Palomar Transient Factory ( PTF ; 2009-2012 ) survey and the intermediate Palomar Transient Factory ( iPTF ; 2013-2017 ) . A model-independent light curve template is built from our data-set with the purpose to investigate average properties and diversity in our sample . We searched for multiple populations in the light curve properties using machine learning tools . We also utilised the long history of our light curves , up to 4000 days , to exclude any significant pre- or post- supernova flares . From the shapes of light curves we found the average rise time in the R band to be 16.8 ^ { +0.5 } _ { -0.6 } days . Although PTF/iPTF were single-band surveys , by modelling the residuals of the SNe in the Hubble-LemaƮtre diagram , we estimate the average colour excess of our sample to be < E ( B - V ) > \approx 0.05 ( 2 ) mag and thus the mean corrected peak brightness to be M _ { R } = -19.02 \pm 0.02 +5 \log ( { H } _ { 0 } [ { km } \cdot { s } ^ { -1 } { Mpc } ^ { -1 } ] / 70 ) mag with only weakly dependent on light curve shape . The intrinsic scatter is found to be \sigma _ { R } = 0.186 \pm 0.033 mag for the redshift range 0.05 < z < 0.1 , without colour corrections of individual SNe . Our analysis shows that Malmquist bias becomes very significant at z=0.13 . A similar limitation is expected for the ongoing Zwicky Transient Facility ( ZTF ) survey using the same telescope , but new camera expressly designed for ZTF .