Code
expect_message({
output <- mod %>% set_hparams(input_size = 10, output_size = 1) %>% fit(dl,
verbose = TRUE, epochs = 25, callbacks = list(luz_callback_early_stopping(
monitor = "train_loss", patience = 1, min_delta = 0.02)))
})
Message
Train metrics: Loss: 1.6053
Epoch 2/25
Train metrics: Loss: 1.5625
Epoch 3/25
Train metrics: Loss: 1.5222
Epoch 4/25
Train metrics: Loss: 1.4836
Epoch 5/25
Train metrics: Loss: 1.4466
Epoch 6/25
Train metrics: Loss: 1.4113
Epoch 7/25
Train metrics: Loss: 1.3775
Epoch 8/25
Train metrics: Loss: 1.3452
Epoch 9/25
Train metrics: Loss: 1.3144
Epoch 10/25
Train metrics: Loss: 1.285
Epoch 11/25
Train metrics: Loss: 1.257
Epoch 12/25
Train metrics: Loss: 1.2303
Epoch 13/25
Train metrics: Loss: 1.2049
Epoch 14/25
Train metrics: Loss: 1.1807
Epoch 15/25
Train metrics: Loss: 1.1576
Epoch 16/25
Train metrics: Loss: 1.1357
Epoch 17/25
Train metrics: Loss: 1.1149
Epoch 18/25
Train metrics: Loss: 1.0951
Early stopping at epoch 18 of 25
Code
expect_message({
output <- mod %>% set_hparams(input_size = 10, output_size = 1) %>% fit(dl,
verbose = TRUE, epochs = 25, callbacks = list(luz_callback_early_stopping(
monitor = "train_loss", patience = 5, baseline = 0.001)))
})
Message
Train metrics: Loss: 1.279
Epoch 2/25
Train metrics: Loss: 1.2552
Epoch 3/25
Train metrics: Loss: 1.2335
Epoch 4/25
Train metrics: Loss: 1.2127
Epoch 5/25
Train metrics: Loss: 1.1927
Early stopping at epoch 5 of 25
Code
expect_message({
output <- mod %>% set_hparams(input_size = 10, output_size = 1) %>% fit(dl,
verbose = TRUE, epochs = 25, callbacks = list(luz_callback_early_stopping(
monitor = "train_mae", patience = 2, baseline = 0.91, min_delta = 0.01)))
})
Message
Train metrics: Loss: 1.2671 - MAE: 0.9163
Epoch 2/25
Train metrics: Loss: 1.2387 - MAE: 0.9058
Early stopping at epoch 2 of 25
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