[GitHub] glingyan opened a new issue #11418: recovery from mxent checkpoint for wide & deep , accuracy decrease

[GitBox <gi...@apache.org>]

glingyan opened a new issue #11418: recovery from mxent checkpoint for wide & deep , accuracy decrease
URL: https://github.com/apache/incubator-mxnet/issues/11418
 
 
   use example/sparse/wide_deep/train.py to train 
   e.g. in first epoch the accuracy in 0.83 like below
   
   2018-06-27 18:48:53,896 epoch 0, accuracy = 0.8382098765432099
   2018-06-27 18:48:53,900 Saved checkpoint to "./checkpoint/checkpoint-0000.params"
   2018-06-27 18:48:53,902 Saved optimizer state to "./checkpoint/checkpoint-0000.states"
   2018-06-27 18:48:53,902 Training completed.
   
   load the sample and use the validate dataset to score, the accuracy decrease to 0.79
   INFO:logger:Finished inference with 16200 images
   INFO:logger:Finished with 115108.471217 images per second
   INFO:logger:('accuracy', 0.7991358024691358)
   

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