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loss always 0.01 #20
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@zhulei1228 have you solved this issue? |
like this? |
EAST <==> TRAIN <==> Epoch: [555][40/125] LR 0.0007339040223999998 Loss 0.0028 Avg Loss 0.0040) EAST <==> TRAIN <==> Epoch: [555][50/125] LR 0.0007339040223999998 Loss 0.0021 Avg Loss 0.0041) EAST <==> TRAIN <==> Epoch: [555][60/125] LR 0.0007339040223999998 Loss 0.0019 Avg Loss 0.0041) EAST <==> TRAIN <==> Epoch: [555][70/125] LR 0.0007339040223999998 Loss 0.0027 Avg Loss 0.0042) EAST <==> TRAIN <==> Epoch: [555][80/125] LR 0.0007339040223999998 Loss 0.0024 Avg Loss 0.0043) EAST <==> TRAIN <==> Epoch: [555][90/125] LR 0.0007339040223999998 Loss 0.0043 Avg Loss 0.0042) EAST <==> TRAIN <==> Epoch: [555][100/125] LR 0.0007339040223999998 Loss 0.0021 Avg Loss 0.0042) EAST <==> TRAIN <==> Epoch: [555][110/125] LR 0.0007339040223999998 Loss 0.0029 Avg Loss 0.0041) |
so ,have you solved this issue? |
classification loss is 0.01,and another is 0.Why?
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