我是深度学习的新手，我正在这里查看 train.py：https://github.com/huanghao-code/VisRNN_ICLR_2016_Text/blob/master/train.py。
我运行这段代码，损失值非常高（附上）。我认为应该除以seq_length（在配置文件中定义为70）。我的意思是，将这段代码添加到第 61 行：loss = loss / seq_length
我说得对吗？
[1, 10] loss: 239.628
[1, 20] loss: 199.850
[1, 30] loss: 179.427
[1, 40] loss: 167.309
[1, 50] loss: 161.275
[1, 60] loss: 153.391
[1, 70] loss: 150.944
[1, 80] loss: 148.133
[1, 90] loss: 144.675
[1, 100] loss: 139.971
[1, 110] loss: 143.109
[1, 120] loss: 139.113
2%|▏ | 1/50 [01:05<53:49, 65.90s/it]Training for 2 epochs...
[2, 10] loss: 137.888
[2, 20] loss: 130.642
[2, 30] loss: 135.233
[2, 40] loss: 131.931
[2, 50] loss: 131.866
[2, 60] loss: 128.675
[2, 70] loss: 130.911
[2, 80] loss: 130.391
[2, 90] loss: 127.622
[2, 100] loss: 122.895
[2, 110] loss: 130.114
[2, 120] loss: 127.582
....
96%|█████████▌| 48/50 [52:11<02:07, 63.99s/it]Training for 49 epochs...
[49, 10] loss: 100.158
[49, 20] loss: 96.960
[49, 30] loss: 97.161
[49, 40] loss: 95.056
[49, 50] loss: 96.596
[49, 60] loss: 97.120
[49, 70] loss: 100.471
[49, 80] loss: 101.352
[49, 90] loss: 98.160
[49, 100] loss: 94.098
[49, 120] loss: 102.465
98%|█████████▊| 49/50 [53:15<01:03, 63.94s/it]Training for 50 epochs...
[50, 10] loss: 100.296
[50, 20] loss: 96.931
[50, 30] loss: 97.210
[50, 40] loss: 94.970
[50, 50] loss: 96.643
[50, 60] loss: 96.761
[50, 70] loss: 100.220
[50, 80] loss: 101.168
[50, 90] loss: 97.711
[50, 100] loss: 93.862
[50, 110] loss: 102.333
[50, 120] loss: 102.228