InvalidArgument `labels` contains negative values

What can be the problem? Did anyone have something like this?

Saving checkpoints for 0 into results/model/model.ckpt.

Traceback (most recent call last): . . . .

InvalidArgumentError (see above for traceback): assertion failed: [`labels` contains negative values] [Condition x >= 0 did not hold element-wise:] [x (Reshape_5:0) = ] [8 12 -1...]
	 [[{{node confusion_matrix/assert_non_negative/assert_less_equal/Assert/AssertGuard/Assert}} = Assert[T=[DT_STRING, DT_STRING, DT_STRING, DT_INT64], summarize=3, _device="/job:localhost/replica:0/task:0/device:CPU:0"](confusion_matrix/assert_non_negative/assert_less_equal/Assert/AssertGuard/Assert/Switch, confusion_matrix/assert_non_negative/assert_less_equal/Assert/AssertGuard/Assert/data_0, confusion_matrix/assert_non_negative/assert_less_equal/Assert/AssertGuard/Assert/data_1, confusion_matrix/assert_non_negative/assert_less_equal/Assert/AssertGuard/Assert/data_2, confusion_matrix/assert_non_negative/assert_less_equal/Assert/AssertGuard/Assert/Switch_1)]]

[dhgoratela]

Hi @rashibudati , To share an update on this issue, I am using this solution to do something other than NER. I found that this issue comes because of line 45 of main.py. For padding tokens to match uneven length samples, @guillaumegenthial is using the label “O”. This means padded tokens are being tagged as “Others”. If your data does not have an “O” tag, then build_vocab.py script will not populate “O” in vocab.tags.txt. Hence during execution, it will find “O” tags that were used in padding as the foreign tags. This mismatch generates the error. The author’s answer about missing tags is correct. To fix this, you need to manually add a capital “O” tag in a new line of your vocab.tags.txt after running build_vocab.py

[wentinghome]

Hi @rashibudati , To share an update on this issue, I am using this solution to do something other than NER. I found that this issue comes because of line 45 of main.py. For padding tokens to match uneven length samples, @guillaumegenthial is using the label “O”. This means padded tokens are being tagged as “Others”. If your data does not have an “O” tag, then build_vocab.py script will not populate “O” in vocab.tags.txt. Hence during execution, it will find “O” tags that were used in padding as the foreign tags. This mismatch generates the error. The author’s answer about missing tags is correct. To fix this, you need to manually add a capital “O” tag in a new line of your vocab.tags.txt after running build_vocab.py

Solved my problem, thanks.