{"action":"closed","issue":{"url":"https://api.github.com/repos/art-programmer/FloorplanTransformation/issues/12","repository_url":"https://api.github.com/repos/art-programmer/FloorplanTransformation","labels_url":"https://api.github.com/repos/art-programmer/FloorplanTransformation/issues/12/labels{/name}","comments_url":"https://api.github.com/repos/art-programmer/FloorplanTransformation/issues/12/comments","events_url":"https://api.github.com/repos/art-programmer/FloorplanTransformation/issues/12/events","html_url":"https://github.com/art-programmer/FloorplanTransformation/issues/12","id":331600301,"node_id":"MDU6SXNzdWUzMzE2MDAzMDE=","number":12,"title":"The default hyperparameters don't produce the pre trained model if batchSize is 8.","user":{"login":"kaleaht","id":585244,"node_id":"MDQ6VXNlcjU4NTI0NA==","avatar_url":"https://avatars0.githubusercontent.com/u/585244?v=4","gravatar_id":"","url":"https://api.github.com/users/kaleaht","html_url":"https://github.com/kaleaht","followers_url":"https://api.github.com/users/kaleaht/followers","following_url":"https://api.github.com/users/kaleaht/following{/other_user}","gists_url":"https://api.github.com/users/kaleaht/gists{/gist_id}","starred_url":"https://api.github.com/users/kaleaht/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kaleaht/subscriptions","organizations_url":"https://api.github.com/users/kaleaht/orgs","repos_url":"https://api.github.com/users/kaleaht/repos","events_url":"https://api.github.com/users/kaleaht/events{/privacy}","received_events_url":"https://api.github.com/users/kaleaht/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-06-12T13:58:57Z","updated_at":"2018-06-13T12:35:49Z","closed_at":"2018-06-13T12:35:48Z","author_association":"NONE","body":"Are the default hyperparameters (command line arguments) optimal for the model or is there some other hyperparameter set I should use to produce the papers results? The batch size is only 8 because of GPU limitations. Can the batch size be the problem?"}}
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