{"action":"created","issue":{"url":"https://api.github.com/repos/orenmel/context2vec/issues/1","repository_url":"https://api.github.com/repos/orenmel/context2vec","labels_url":"https://api.github.com/repos/orenmel/context2vec/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/orenmel/context2vec/issues/1/comments","events_url":"https://api.github.com/repos/orenmel/context2vec/issues/1/events","html_url":"https://github.com/orenmel/context2vec/issues/1","id":192848536,"number":1,"title":"Model Convergence Indicator","user":{"login":"already-taken-m17","id":18592544,"avatar_url":"https://avatars.githubusercontent.com/u/18592544?v=3","gravatar_id":"","url":"https://api.github.com/users/already-taken-m17","html_url":"https://github.com/already-taken-m17","followers_url":"https://api.github.com/users/already-taken-m17/followers","following_url":"https://api.github.com/users/already-taken-m17/following{/other_user}","gists_url":"https://api.github.com/users/already-taken-m17/gists{/gist_id}","starred_url":"https://api.github.com/users/already-taken-m17/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/already-taken-m17/subscriptions","organizations_url":"https://api.github.com/users/already-taken-m17/orgs","repos_url":"https://api.github.com/users/already-taken-m17/repos","events_url":"https://api.github.com/users/already-taken-m17/events{/privacy}","received_events_url":"https://api.github.com/users/already-taken-m17/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2016-12-01T13:36:13Z","updated_at":"2016-12-02T03:46:26Z","closed_at":null,"body":"Hi,\r\nDuring the training, how the number of epochs are getting decided ?\r\nAs I see, no part of training data has been reserved for evaluation during training of model. So, how can I be assured that model has converged during training ?"},"comment":{"url":"https://api.github.com/repos/orenmel/context2vec/issues/comments/264366602","html_url":"https://github.com/orenmel/context2vec/issues/1#issuecomment-264366602","issue_url":"https://api.github.com/repos/orenmel/context2vec/issues/1","id":264366602,"user":{"login":"orenmel","id":4928549,"avatar_url":"https://avatars.githubusercontent.com/u/4928549?v=3","gravatar_id":"","url":"https://api.github.com/users/orenmel","html_url":"https://github.com/orenmel","followers_url":"https://api.github.com/users/orenmel/followers","following_url":"https://api.github.com/users/orenmel/following{/other_user}","gists_url":"https://api.github.com/users/orenmel/gists{/gist_id}","starred_url":"https://api.github.com/users/orenmel/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/orenmel/subscriptions","organizations_url":"https://api.github.com/users/orenmel/orgs","repos_url":"https://api.github.com/users/orenmel/repos","events_url":"https://api.github.com/users/orenmel/events{/privacy}","received_events_url":"https://api.github.com/users/orenmel/received_events","type":"User","site_admin":false},"created_at":"2016-12-02T03:46:26Z","updated_at":"2016-12-02T03:46:26Z","body":"Correct. As in word2vec, there is no such validation set built into the training process, but indeed it would probably be useful to have this (as done when training language models, etc.). I guess that if the train set is large enough then you can look at the train error without too much of a risk of over-fitting. "}}
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