36
37 [training]
38 dropout = 0.1
39 accumulate_gradient = 1
40 patience = 1600
41 max_epochs = 0
42 max_steps = 20000
43 eval_frequency = 200
44
45 [training.optimizer]
46 @optimizers = "Adam.v1"
47 beta1 = 0.9
48 beta2 = 0.999
49 L2_is_weight_decay = true
50 L2 = 0.01
51 grad_clip = 1.0
52 use_averages = false
53 eps = 0.00000001
54 learn_rate = 0.001
MULTI HASH EMBEDDINGS IN SPACY