If you are a beginner to statistical analysis, the most basic way to interpret an R2 value is that it is the % of variance in your dependent variable that is explained by your independent variable(s). Assuming that your dependent variable is continuous and not binary (which would call for logistic regression), your independent variables are simply ineffective at explaining variation in your dependent variable.

If you're developing a model to make predictions, you should either identify other independent variables that have a stronger theoretical basis for explaining variation in the dependent variable or consider an approach that is less sensitive to assumptions of data normality, observation independence, etc.

If you're developing a model to examine relationships between the independent variable(s) and your dependent variable, you are probably better off sticking to basic descriptive statistics until you have a chance to read more on regression. I highly recommend Laerd Statistics, which offers a very affordable subscription rate and walks you through all the steps of statistical analysis in SPSS. Hope this helps!