LOSS 始终是0.01

[jdmking2019]

您好！利用自己的数据集，数据格式为 x1, y1, x2, y2, x3, y3, x4, y4, "###"
训练的时候loss始终是0.01，具体如下：

EAST <==> TRAIN <==> Epoch: [0][372/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][373/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][374/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][375/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][376/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][377/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][378/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][379/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][380/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][381/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][382/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][383/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][384/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][385/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][386/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][387/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][388/430] Loss 0.0100 Avg Loss 0.0100)

EAST <==> TRAIN <==> Epoch: [0][389/430] Loss 0.0100 Avg Loss 0

[sunshangyun]

你们的类别数应该大于1

[ZJuanJuan]

你好，请问你找到解决方法了吗