接着预训练模型接着训练一直是inf?

[yizt]

接着预训练模型接着训练一直是inf?

[yizt]

@RobertXiaobinW 您好，需要提供更详细的信息，最好是能够复现问题粒度

[RobertXiaobinW]

这个是loss:tensor(inf, device='cuda:0', grad_fn = '<' MeanBackward0 '>' )
这个是input_length: tensor([1, 1, 1, 1, 1, 1, 1, 1])
这个是target_length: tensor([18, 9, 17, 6, 20, 11, 15, 13])
这个是target:
tensor([[ 788, 12398, 16864, 10277, 27893, 26725, 11970, 12494, 24441, 12486,
651, 25194, 21985, 10739, 28449, 18115, 24168, 24136, 0, 0,
0, 0, 0, 0, 0, 0],
[18490, 13217, 26361, 8336, 13865, 21787, 8350, 9127, 14206, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0],
[21562, 11474, 8698, 8510, 26653, 98, 9792, 26585, 18390, 9982,
12594, 27589, 15995, 1506, 25033, 29164, 27935, 0, 0, 0,
0, 0, 0, 0, 0, 0],
[22313, 20842, 22277, 28439, 26443, 9748, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0],
[30493, 20836, 25265, 23656, 24147, 15982, 27451, 28809, 28860, 11399,
16812, 8996, 17091, 27334, 10614, 16839, 28066, 15049, 21229, 21864,
0, 0, 0, 0, 0, 0],
[14392, 28384, 12272, 22050, 13004, 16370, 19666, 8364, 47, 18037,
15336, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0],
[25636, 16725, 755, 24788, 11787, 17582, 20783, 26430, 24712, 8278,
25356, 13494, 13120, 29164, 9054, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0],
[24467, 10223, 13797, 9870, 17309, 28066, 14946, 14523, 10659, 8469,
27858, 9383, 19832, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0]])

是CTC方面出了问题么？

[GraceKafuu]

我从0开始训练也是inf，怎么解决