Lambda-School-Labs/allay-ds

program: exploration/rnn_sweep_train.py
name: rnn-2
description: lowercase lemmas, max_features 8000, min_df .00005
method: bayes
metric:
  name: val_accuracy
  goal: maximize
parameters:
  epochs:
    min: 3
    max: 10
  learning_rate:
    min: 0.00005
    max: 0.01
  batch_size:
    values: [256, 128, 64, 32]
  weight_decay:
    values: [.0005, .005, .05]
  dropout:
    values: [.2, .3, .4, .5]
early_terminate:
    type: hyperband
    min_iter: 3
project: allay-ds-23
entity: alexmjn