{"action":"created","issue":{"url":"https://api.github.com/repos/minsangkim142/QANet/issues/15","repository_url":"https://api.github.com/repos/minsangkim142/QANet","labels_url":"https://api.github.com/repos/minsangkim142/QANet/issues/15/labels{/name}","comments_url":"https://api.github.com/repos/minsangkim142/QANet/issues/15/comments","events_url":"https://api.github.com/repos/minsangkim142/QANet/issues/15/events","html_url":"https://github.com/minsangkim142/QANet/issues/15","id":317914069,"number":15,"title":"Report the results with 128 hidden units","user":{"login":"jasonwbw","id":3417170,"avatar_url":"https://avatars2.githubusercontent.com/u/3417170?v=4","gravatar_id":"","url":"https://api.github.com/users/jasonwbw","html_url":"https://github.com/jasonwbw","followers_url":"https://api.github.com/users/jasonwbw/followers","following_url":"https://api.github.com/users/jasonwbw/following{/other_user}","gists_url":"https://api.github.com/users/jasonwbw/gists{/gist_id}","starred_url":"https://api.github.com/users/jasonwbw/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jasonwbw/subscriptions","organizations_url":"https://api.github.com/users/jasonwbw/orgs","repos_url":"https://api.github.com/users/jasonwbw/repos","events_url":"https://api.github.com/users/jasonwbw/events{/privacy}","received_events_url":"https://api.github.com/users/jasonwbw/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2018-04-26T07:48:18Z","updated_at":"2018-04-29T05:29:40Z","closed_at":null,"author_association":"CONTRIBUTOR","body":"Model | Training Steps | Size | Attention Heads | Data Size (aug) | EM | F1\r\n-- | -- | -- | -- | -- | -- | --\r\nMy Model | 60,000 | 128 | 1 | 87k (no aug) | 70.7 | 79.8\r\n\r\nThe results are obtained on a K80 machine. I modify the trilinear function for memory efficiency, but the results are the same with the current version of this repository.\r\n\r\nI'm not sure about the overfitting, the model is the last checkpoint after training 60,000 steps."},"comment":{"url":"https://api.github.com/repos/minsangkim142/QANet/issues/comments/385227182","html_url":"https://github.com/minsangkim142/QANet/issues/15#issuecomment-385227182","issue_url":"https://api.github.com/repos/minsangkim142/QANet/issues/15","id":385227182,"user":{"login":"minsangkim142","id":24954419,"avatar_url":"https://avatars1.githubusercontent.com/u/24954419?v=4","gravatar_id":"","url":"https://api.github.com/users/minsangkim142","html_url":"https://github.com/minsangkim142","followers_url":"https://api.github.com/users/minsangkim142/followers","following_url":"https://api.github.com/users/minsangkim142/following{/other_user}","gists_url":"https://api.github.com/users/minsangkim142/gists{/gist_id}","starred_url":"https://api.github.com/users/minsangkim142/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/minsangkim142/subscriptions","organizations_url":"https://api.github.com/users/minsangkim142/orgs","repos_url":"https://api.github.com/users/minsangkim142/repos","events_url":"https://api.github.com/users/minsangkim142/events{/privacy}","received_events_url":"https://api.github.com/users/minsangkim142/received_events","type":"User","site_admin":false},"created_at":"2018-04-29T05:29:40Z","updated_at":"2018-04-29T05:29:40Z","author_association":"OWNER","body":"Empirically, I found early stopping to be not beneficial to gaining maximum performance (possibly due to early stopping not letting exponential moving average to stabilize) so I am increasing the maximum patience from 3 to 10."}}
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