train the model

[gongqinpeng]

Excuse me. How to adjust the parameters to speed up the model training? The MAX_ITERATION or the LEARNING_RATE?
And this:

iter 8400 eps 0.202 average size of vc: 0.28585756567588727
testing 100 graphs time: 12.65684605s
300 iterations total time: 120.95875800s
WARNING:tensorflow:Issue encountered when serializing trainable_variables.
Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
tf.float32 has type DType, but expected one of: int, long, bool
WARNING:tensorflow:Issue encountered when serializing variables.
Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
tf.float32 has type DType, but expected one of: int, long, bool
model has been saved success!
iter 8700 eps 0.1735 average size of vc: 0.2842680456584987
testing 100 graphs time: 12.28663921s
300 iterations total time: 122.96724600s
WARNING:tensorflow:Issue encountered when serializing trainable_variables.
Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
tf.float32 has type DType, but expected one of: int, long, bool
WARNING:tensorflow:Issue encountered when serializing variables.
Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
tf.float32 has type DType, but expected one of: int, long, bool
model has been saved success!

Is this right? Or I wish someone can help me.Thanks!