TextLearner {fastai} | R Documentation |
TextLearner
Description
Basic class for a 'Learner' in NLP.
Usage
TextLearner(
dls,
model,
alpha = 2,
beta = 1,
moms = list(0.8, 0.7, 0.8),
loss_func = NULL,
opt_func = Adam(),
lr = 0.001,
splitter = trainable_params(),
cbs = NULL,
metrics = NULL,
path = NULL,
model_dir = "models",
wd = NULL,
wd_bn_bias = FALSE,
train_bn = TRUE
)
Arguments
dls |
dls |
model |
model |
alpha |
alpha |
beta |
beta |
moms |
moms |
loss_func |
loss_func |
opt_func |
opt_func |
lr |
lr |
splitter |
splitter |
cbs |
cbs |
metrics |
metrics |
path |
path |
model_dir |
model_dir |
wd |
wd |
wd_bn_bias |
wd_bn_bias |
train_bn |
train_bn |
Value
None
[Package fastai version 2.2.2 Index]