{"action":"created","issue":{"url":"https://api.github.com/repos/IBM/Graph2Seq/issues/2","repository_url":"https://api.github.com/repos/IBM/Graph2Seq","labels_url":"https://api.github.com/repos/IBM/Graph2Seq/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/IBM/Graph2Seq/issues/2/comments","events_url":"https://api.github.com/repos/IBM/Graph2Seq/issues/2/events","html_url":"https://github.com/IBM/Graph2Seq/issues/2","id":388973301,"node_id":"MDU6SXNzdWUzODg5NzMzMDE=","number":2,"title":"can not  reproduce the result in your paper","user":{"login":"alphadl","id":20458732,"node_id":"MDQ6VXNlcjIwNDU4NzMy","avatar_url":"https://avatars3.githubusercontent.com/u/20458732?v=4","gravatar_id":"","url":"https://api.github.com/users/alphadl","html_url":"https://github.com/alphadl","followers_url":"https://api.github.com/users/alphadl/followers","following_url":"https://api.github.com/users/alphadl/following{/other_user}","gists_url":"https://api.github.com/users/alphadl/gists{/gist_id}","starred_url":"https://api.github.com/users/alphadl/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/alphadl/subscriptions","organizations_url":"https://api.github.com/users/alphadl/orgs","repos_url":"https://api.github.com/users/alphadl/repos","events_url":"https://api.github.com/users/alphadl/events{/privacy}","received_events_url":"https://api.github.com/users/alphadl/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2018-12-09T00:31:54Z","updated_at":"2018-12-09T01:10:35Z","closed_at":null,"author_association":"NONE","body":"My setting and data is totally implemented from your repository, I see from your paper that the results of \"Path Finding\" is 99.99 %, however, after running 100 epochs（which is your default epoch number）, the best acc on Dev is only 0.145, and the best acc on Test is only 0.119 which is extremely different from what you have got .\r\n\r\nI want to reproduce your results as the paper said. Is there any tricks I missed or something else?\r\n\r\nThanks for your patience~"},"comment":{"url":"https://api.github.com/repos/IBM/Graph2Seq/issues/comments/445502381","html_url":"https://github.com/IBM/Graph2Seq/issues/2#issuecomment-445502381","issue_url":"https://api.github.com/repos/IBM/Graph2Seq/issues/2","id":445502381,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0NTUwMjM4MQ==","user":{"login":"alphadl","id":20458732,"node_id":"MDQ6VXNlcjIwNDU4NzMy","avatar_url":"https://avatars3.githubusercontent.com/u/20458732?v=4","gravatar_id":"","url":"https://api.github.com/users/alphadl","html_url":"https://github.com/alphadl","followers_url":"https://api.github.com/users/alphadl/followers","following_url":"https://api.github.com/users/alphadl/following{/other_user}","gists_url":"https://api.github.com/users/alphadl/gists{/gist_id}","starred_url":"https://api.github.com/users/alphadl/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/alphadl/subscriptions","organizations_url":"https://api.github.com/users/alphadl/orgs","repos_url":"https://api.github.com/users/alphadl/repos","events_url":"https://api.github.com/users/alphadl/events{/privacy}","received_events_url":"https://api.github.com/users/alphadl/received_events","type":"User","site_admin":false},"created_at":"2018-12-09T01:10:35Z","updated_at":"2018-12-09T01:10:35Z","author_association":"NONE","body":"I tried your trained model in /saved_model initially by using the command :  python run_model.py test, but I got a low score, maybe about 0.1 "}}
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