High-Performance Open-Source Archive
Lightning disentangles PyTorch code to decouple the science from the engineering.
library(fastai)
library(magrittr)
model = LitModel()
data = Data_Loaders(model$train_dataloader(), model$val_dataloader())$cuda()
nn = nn()
learn = Learner(data, model, loss_func = nn$functional$cross_entropy, opt_func = Adam,
metrics = accuracy)
learn %>% fit_one_cycle(1, 0.001)epoch train_loss valid_loss accuracy time
0 0.354146 0.334655 0.911300 00:09
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