Standardized effect sizes interpretation using emmeans

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I used eff_size() function to calculate effect sized of conditions of a lmer object. However, I can't find a rule of thumb for interpreting the effect size. Any guidelines or suggestions?

Many thanks!

> eff_size(post, sigma = sigma(fit), edf = df.residual(fit))
 contrast  effect.size     SE   df lower.CL upper.CL
 1_1 - 1_3     -0.3418 0.0580 68.7  -0.4575  -0.2261
 1_1 - 3_1     -0.3987 0.0579 68.7  -0.5143  -0.2831
 1_1 - 3_3     -0.1518 0.0575 68.7  -0.2666  -0.0371
 1_3 - 3_1     -0.0569 0.0582 69.2  -0.1730   0.0593
 1_3 - 3_3      0.1900 0.0580 68.7   0.0742   0.3058
 3_1 - 3_3      0.2468 0.0579 68.7   0.1312   0.3624

sigma used for effect sizes: 0.3014 
Degrees-of-freedom method: inherited from kenward-roger when re-gridding 
Confidence level used: 0.95
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