Comments (5)
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因为fc参数要重新训练,所以acc前面接近0,后面acc会上升的呢~ 发自我的iPhone
…
------------------ 原始邮件 ------------------ 发件人: WangDeng <[email protected]> 发送时间: 2020年9月27日 11:19 收件人: heshuting555/NAIC_Person_ReID_DMT <[email protected]> 抄送: Subscribed <[email protected]> 主题: 回复:[heshuting555/NAIC_Person_ReID_DMT] acc为0 (#6) 你好,我想请问一下,我训练自己的数据,训练了两个epoch之后,虽然loss一直在慢慢降低,但是acc还是一直为0,这是为什么啊 — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe.
非常感谢!
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from naic_person_reid_dmt.
您好,我也有这个问题,在训练了10个epoch以后acc 仍然为零,而且loss值降的很快,最初的大小只有5.4,一个iteration就会降0.1左右,请问这是什么情况呢?试了一些办法,没有解决
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是用的Ranger优化器嘛?可能是Ranger优化器使得收敛趋势有点不稳定呢?
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Related Issues (10)
- Hi, in your project, how about train 20w ids dataset, Will it behave well? HOT 1
- 在market1501数据集上的模型训练问题
- tql HOT 3
- Can this project be trained on multiple GPUs? HOT 1
- 请问这个项目训练的时候没有验证的过程么 HOT 3
- 请问能放出train-log吗? HOT 1
- test集pids都设为1,训练过程中的accuracy是怎么得来的呢 HOT 4
- 请问大佬数据处理部分的‘normal'和’green'代表的是什么? HOT 2
- 评测问题 HOT 1
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