{"action":"created","issue":{"url":"https://api.github.com/repos/codertimo/BERT-pytorch/issues/32","repository_url":"https://api.github.com/repos/codertimo/BERT-pytorch","labels_url":"https://api.github.com/repos/codertimo/BERT-pytorch/issues/32/labels{/name}","comments_url":"https://api.github.com/repos/codertimo/BERT-pytorch/issues/32/comments","events_url":"https://api.github.com/repos/codertimo/BERT-pytorch/issues/32/events","html_url":"https://github.com/codertimo/BERT-pytorch/issues/32","id":372910841,"node_id":"MDU6SXNzdWUzNzI5MTA4NDE=","number":32,"title":"pred_loss decrease fast while avg_acc stay at 50%","user":{"login":"jiqiujia","id":8109984,"node_id":"MDQ6VXNlcjgxMDk5ODQ=","avatar_url":"https://avatars1.githubusercontent.com/u/8109984?v=4","gravatar_id":"","url":"https://api.github.com/users/jiqiujia","html_url":"https://github.com/jiqiujia","followers_url":"https://api.github.com/users/jiqiujia/followers","following_url":"https://api.github.com/users/jiqiujia/following{/other_user}","gists_url":"https://api.github.com/users/jiqiujia/gists{/gist_id}","starred_url":"https://api.github.com/users/jiqiujia/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jiqiujia/subscriptions","organizations_url":"https://api.github.com/users/jiqiujia/orgs","repos_url":"https://api.github.com/users/jiqiujia/repos","events_url":"https://api.github.com/users/jiqiujia/events{/privacy}","received_events_url":"https://api.github.com/users/jiqiujia/received_events","type":"User","site_admin":false},"labels":[{"id":1091696788,"node_id":"MDU6TGFiZWwxMDkxNjk2Nzg4","url":"https://api.github.com/repos/codertimo/BERT-pytorch/labels/help%20wanted","name":"help wanted","color":"008672","default":true},{"id":1091696790,"node_id":"MDU6TGFiZWwxMDkxNjk2Nzkw","url":"https://api.github.com/repos/codertimo/BERT-pytorch/labels/invalid","name":"invalid","color":"e4e669","default":true},{"id":1091696791,"node_id":"MDU6TGFiZWwxMDkxNjk2Nzkx","url":"https://api.github.com/repos/codertimo/BERT-pytorch/labels/question","name":"question","color":"d876e3","default":true}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":46,"created_at":"2018-10-23T09:52:13Z","updated_at":"2018-10-31T06:38:24Z","closed_at":null,"author_association":"NONE","body":"I try to run the code on a small dataset and I find that pred_loss decrease fast while avg_acc stay at 50%. It is strange to me since decrease in pred_loss should indicates increase in accuracy.\r\n![image](https://user-images.githubusercontent.com/8109984/47352288-2e2b0f80-d6ec-11e8-96c0-2187e18d651c.png)\r\n"},"comment":{"url":"https://api.github.com/repos/codertimo/BERT-pytorch/issues/comments/434577719","html_url":"https://github.com/codertimo/BERT-pytorch/issues/32#issuecomment-434577719","issue_url":"https://api.github.com/repos/codertimo/BERT-pytorch/issues/32","id":434577719,"node_id":"MDEyOklzc3VlQ29tbWVudDQzNDU3NzcxOQ==","user":{"login":"codertimo","id":9063575,"node_id":"MDQ6VXNlcjkwNjM1NzU=","avatar_url":"https://avatars0.githubusercontent.com/u/9063575?v=4","gravatar_id":"","url":"https://api.github.com/users/codertimo","html_url":"https://github.com/codertimo","followers_url":"https://api.github.com/users/codertimo/followers","following_url":"https://api.github.com/users/codertimo/following{/other_user}","gists_url":"https://api.github.com/users/codertimo/gists{/gist_id}","starred_url":"https://api.github.com/users/codertimo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/codertimo/subscriptions","organizations_url":"https://api.github.com/users/codertimo/orgs","repos_url":"https://api.github.com/users/codertimo/repos","events_url":"https://api.github.com/users/codertimo/events{/privacy}","received_events_url":"https://api.github.com/users/codertimo/received_events","type":"User","site_admin":false},"created_at":"2018-10-31T06:38:24Z","updated_at":"2018-10-31T06:38:24Z","author_association":"OWNER","body":"@wangwei7175878 Sounds Great! \r\nCan you make a pull request with your adamW implementation?\r\nI'll test it on my corpus too 👍 "}}
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