Need an example with data and labels

[mytarmail]

Hello, I'm a bit confused with the labels, I don't understand how to put them correctly in my data.

I have sample data

fu <- function(){
size <- sample(10:30,1)
let <- LETTERS[sample(1:26,size = size,replace = T)]
mu <- make.unique(let,sep = "_")

c(  paste0("__label__",sample(1:2,1))  ,  mu)
}

li <- list()
for(i in 1:20) li[[i]] <- fu()

li2 <- lapply(li ,function(x) paste(x,collapse = " "))

head(li2)

the result is

[[1]]
[1] "__label__2 Y W Y_1 Y_2 E Z F N E_1 Q"

[[2]]
[1] "__label__1 N A I T D X E M Z F J V I_1 Y Q B J_1 R Y_1 Q_1 C U H R_1 Y_2 D_1 C_1 K"

[[3]]
[1] "__label__1 V F R B E R_1 M I U L Q C D K D_1 M_1 A M_2 A_1 M_3 S R_2 F_1 Z N A_2 E_1 M_4 G"

[[4]]
[1] "__label__2 O K D K_1 C D_1 J L Q F Y N Q_1 A Y_1 F_1 M V D_2"

save data

way <- "C:\...........\text.txt"
for(i in 1:length(li2))  write.table(x = li2[[i]] , file = way,append = T,col.names = F,row.names = F)

train model

library("fastTextR")
cntrl <- ft_control(word_vec_size = 10L, learning_rate = 0.1, max_len_ngram = 2L, 
                    min_count = 1L, nbuckets = 100000L, epoch = 5L, nthreads = 4L)
model <- ft_train(file = way, method = "supervised", control = cntrl)
model

model have no labels

fastText "supervised" model: 
   443 tokens, 90 words, 0 labels