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@sshleifer
Created May 29, 2019 15:02
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ideal grid/api for hardness sampling
pg1 = update_batch_size(ParameterGrid({
'lr': [1e-4, 1e-3, 3e-3, 1e-2, .05, 1e-1],
'label_smoothing': [True, False],
'size': [128],
'bs': [256],
'hardness_percentile': [.75, .5, .25, .1] # top 50%, top25%
}))
# Now based on easiness
pg2 = update_batch_size(ParameterGrid({
'lr': [1e-4, 1e-3, 3e-3, 1e-2, .05, 1e-1],
'label_smoothing': [True, False],
'size': [128],
'bs': [256],
'easiness_percentile': [.75, .5, .25, .1]
}))
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