mirror of
https://github.com/wassname/Castor.git
synced 2026-09-25 13:10:11 +08:00
Salman Mohammed
4c081645a7
+ cleaned up the model code for the simple qa directory + created vocab objects for pre-loading word embeddings easily
19 lines
643 B
Python
19 lines
643 B
Python
from random import randint, uniform
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from subprocess import call
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epochs = 50
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count = 20
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for id in range(count):
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learning_rate = 10 ** uniform(-5, -4)
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d_hidden = randint(550, 600)
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n_layers = randint(4, 5)
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dropout = uniform(0.5, 0.6)
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clip = uniform(0.6, 0.7)
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command = "python train.py --cuda --device 1 --dev_every 500 --log_every 250 --batch_size 128 " \
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"--epochs {} --lr {} --d_hidden {} --n_layers {} --dropout_prob {} --clip {} >> " \
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"results.txt".format(epochs, learning_rate, d_hidden, n_layers, dropout, clip)
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print("Running: " + command)
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call(command, shell=True)
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