如题，如下代码，产生warning messages，

enet.cv=cv.glmnet(x,factor(y),nfolds=10,family="multinomial",maxit=100000)
Warning messages:
1: from glmnet Fortran code (error code -67); Convergence for 67th lambda value not reached after maxit=100000 iterations; solutions for larger lambdas returned
2: from glmnet Fortran code (error code -60); Convergence for 60th lambda value not reached after maxit=100000 iterations; solutions for larger lambdas returned
3: from glmnet Fortran code (error code -77); Convergence for 77th lambda value not reached after maxit=100000 iterations; solutions for larger lambdas returned
...



plot(enet.cv)  #结果如下



which(enet.cv$lambda==enet.cv$lambda.min)
[1] 6


最小的lambda对于的是第6个值，这个lambda可用吗？对应的模型能用吗？