fit failure in 500 resamples. Might try increasing maxit. Ignore it or not?

[kroscek]

My data is 188318 rows and 146 columns. After i fit the Glm into my data, it throws an error when i use bootstrap covariance:
fit failure in 500 resamples. Might try increasing maxit
Not sure why this happens and whether should i ignore it and proceed to the next step?
My code:

fit_glm<-Glm(loss~., x=T, y=T, data=xtrain)
boot_fit_lm <- bootcov(fit_glm, B=500, pr=T)

boot_fit_lm <- bootcov(fit_glm, B=500, pr=T)
Iteration: 500 of 500
Warning message:
In bootcov(fit_glm, B = 500, pr = T) :
fit failure in 500 resamples. Might try increasing maxit