{"action":"created","issue":{"url":"https://api.github.com/repos/dmlc/mxnet/issues/3032","repository_url":"https://api.github.com/repos/dmlc/mxnet","labels_url":"https://api.github.com/repos/dmlc/mxnet/issues/3032/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/mxnet/issues/3032/comments","events_url":"https://api.github.com/repos/dmlc/mxnet/issues/3032/events","html_url":"https://github.com/dmlc/mxnet/issues/3032","id":171332760,"number":3032,"title":"training accuracy is very high but validation accuracy is very low","user":{"login":"albertyou2","id":11494761,"avatar_url":"https://avatars.githubusercontent.com/u/11494761?v=3","gravatar_id":"","url":"https://api.github.com/users/albertyou2","html_url":"https://github.com/albertyou2","followers_url":"https://api.github.com/users/albertyou2/followers","following_url":"https://api.github.com/users/albertyou2/following{/other_user}","gists_url":"https://api.github.com/users/albertyou2/gists{/gist_id}","starred_url":"https://api.github.com/users/albertyou2/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/albertyou2/subscriptions","organizations_url":"https://api.github.com/users/albertyou2/orgs","repos_url":"https://api.github.com/users/albertyou2/repos","events_url":"https://api.github.com/users/albertyou2/events{/privacy}","received_events_url":"https://api.github.com/users/albertyou2/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":21,"created_at":"2016-08-16T06:11:20Z","updated_at":"2016-08-16T11:59:33Z","closed_at":null,"body":"I used the  inception-bn network  to classify 130000+ images which have 2330 classes . 120000 of then for training and 10000 of them for validation. \r\n\r\nHere is my parameters configuration:\r\nlr =0.001\r\nlr--factor =0.995\r\nlr-factor-epoch=0.3\r\nwd= 0.00001\r\nmomentum  = 0.9\r\nbatch-size = 128\r\n\r\nAfter about 100~200 epochs, the training accuracy were about 99%,but the validation  accuracy were about 0.1%.\r\n\r\nMay be the  dataset is not good for CNN classification (All the images are downloaded from internet by myself) and I am not sure they can be classified by CNN. (I am doing a experiment on this  problem). \r\nBut if so ,why the training accuracy is extremely high? \r\n\r\nWhy was this happen?How to find out the reason  ? thank you! \r\n"},"comment":{"url":"https://api.github.com/repos/dmlc/mxnet/issues/comments/240081302","html_url":"https://github.com/dmlc/mxnet/issues/3032#issuecomment-240081302","issue_url":"https://api.github.com/repos/dmlc/mxnet/issues/3032","id":240081302,"user":{"login":"tornadomeet","id":5860892,"avatar_url":"https://avatars.githubusercontent.com/u/5860892?v=3","gravatar_id":"","url":"https://api.github.com/users/tornadomeet","html_url":"https://github.com/tornadomeet","followers_url":"https://api.github.com/users/tornadomeet/followers","following_url":"https://api.github.com/users/tornadomeet/following{/other_user}","gists_url":"https://api.github.com/users/tornadomeet/gists{/gist_id}","starred_url":"https://api.github.com/users/tornadomeet/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tornadomeet/subscriptions","organizations_url":"https://api.github.com/users/tornadomeet/orgs","repos_url":"https://api.github.com/users/tornadomeet/repos","events_url":"https://api.github.com/users/tornadomeet/events{/privacy}","received_events_url":"https://api.github.com/users/tornadomeet/received_events","type":"User","site_admin":false},"created_at":"2016-08-16T11:59:33Z","updated_at":"2016-08-16T11:59:33Z","body":"@albertyou2 so what's the test acc now after fix bn? "}}
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