Only NaNs in accuracy table in forecasts using fable package

I am trying to run some forecasting models using fable package. The forecasting mable is as follows,

> fit1
# A mable: 3 x 4
# Key:     series.id [3]
  series.id arima                             ets          snaive  
      <int> <model>                           <model>      <model> 
1  12000361 <ARIMA(1,0,0) w/ mean>            <ETS(M,N,M)> <SNAIVE>
2  12000654 <ARIMA(0,0,0)(0,0,1)[12] w/ mean> <ETS(A,N,N)> <SNAIVE>
3  12000686 <ARIMA(0,1,2)(1,0,0)[12]>         <ETS(A,N,A)> <SNAIVE>

I have got the forecasted values,

> fc
# A fable: 108 x 5 [1M]
# Key:     series.id, .model [9]
   series.id .model      mth series.total .distribution
       <int> <chr>     <mth>        <dbl> <dist>       
 1  12000361 arima  2019 Jan         22.8 N(23,  98)   
 2  12000361 arima  2019 Feb         23.5 N(24, 104)   
 3  12000361 arima  2019 Mär         23.7 N(24, 104)   
 4  12000361 arima  2019 Apr         23.7 N(24, 104)   
 5  12000361 arima  2019 Mai         23.7 N(24, 104)   
 6  12000361 arima  2019 Jun         23.7 N(24, 104)   
 7  12000361 arima  2019 Jul         23.7 N(24, 104)   
 8  12000361 arima  2019 Aug         23.7 N(24, 104)   
 9  12000361 arima  2019 Sep         23.7 N(24, 104)   
10  12000361 arima  2019 Okt         23.7 N(24, 104)   
# … with 98 more rows

It looks like I have the forecasted values. However the accuracy function is not generating any results,

> accuracy(fc, dt_tsbl)
# A tibble: 9 x 10
  .model series.id .type    ME  RMSE   MAE   MPE  MAPE  MASE  ACF1
  <chr>      <int> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 arima   12000361 Test    NaN   NaN   NaN   NaN   NaN   NaN    NA
2 arima   12000654 Test    NaN   NaN   NaN   NaN   NaN   NaN    NA
3 arima   12000686 Test    NaN   NaN   NaN   NaN   NaN   NaN    NA
4 ets     12000361 Test    NaN   NaN   NaN   NaN   NaN   NaN    NA
5 ets     12000654 Test    NaN   NaN   NaN   NaN   NaN   NaN    NA
6 ets     12000686 Test    NaN   NaN   NaN   NaN   NaN   NaN    NA
7 snaive  12000361 Test    NaN   NaN   NaN   NaN   NaN   NaN    NA
8 snaive  12000654 Test    NaN   NaN   NaN   NaN   NaN   NaN    NA
9 snaive  12000686 Test    NaN   NaN   NaN   NaN   NaN   NaN    NA
Warning message:
The future dataset is incomplete, incomplete out-of-sample data will be treated as missing. 
12 observations are missing between 2019 Jan and 2019 Dez 

Anybody can help me to figure out what is getting wrong here?

A similar post using forecast package is there, but it isn't helping me to understand why I am having NaNs.