Open roywei opened 5 years ago
Hey, this is the MXNet Label Bot. Thank you for submitting the issue! I will try and suggest some labels so that the appropriate MXNet community members can help resolve it. Here are my recommended labels: Test, Flaky, CI
This test_sentiment_rnn.py seems to be flaky. see pipeline. http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/NightlyTestsForBinaries/detail/master/342/pipeline
It's been modified from https://github.com/d2l-ai/d2l-en/blob/master/chapter_natural-language-processing/sentiment-analysis-rnn.md Dataset: IMDB Optimizer: Adam Learning rate: 0.01 Initializer: Xavier Platform: Ubuntu GPU (AWS p3.2xlarge)
I was able to reproduce the error by running this test 1000 times locally. This accuracy seems abnormal, but other runs seems fine. Accuracy increased from 0.8 to 0.9 in 5 epochs.