Moritzm00's group workspace
Group: BaselineCNN
State
Notes
User
Tags
Created
Runtime
Sweep
architecture
augment
augment.active
augment.factors.random_brightness
augment.factors.random_flip
augment.factors.random_rotation
augment.factors.random_translation
augment_gpu
batch_size
callbacks.ckpt_filepath
callbacks.early_stopping_patience
callbacks.model_ckpt
callbacks.monitor
callbacks.use_wandb
callbacks.visualize_predictions
callbacks.with_wandb_ckpt
ckpt_dir
data_dir
dataset.channels
dataset.cutoff_age
dataset.img_size
dataset.name
dataset.path
decay_rate
decay_steps
early_stopping_mode
early_stopping_monitor
early_stopping_patience
epochs
finetune_whole_model
initial_learning_rate
log_dir
loss
lr_schedule
lr_schedule.stage_1._target_
lr_schedule.stage_1.decay_rate
lr_schedule.stage_1.decay_steps
lr_schedule.stage_1.initial_learning_rate
lr_schedule.stage_2._target_
lr_schedule.stage_2.decay_rate
lr_schedule.stage_2.decay_steps
lr_schedule.stage_2.initial_learning_rate
model.architecture
model.finetune_base
Finished
moritzm00
BaselineCNNv1
15m 10s
-
-
-
true
-
horizontal
0.1
0.1
-
-
ckpts/model-{epoch:02d}-{val_mae:.2f}
5
false
val_mae
true
true
false
ckpts
data
3
-
[200,200]
UTKFace
data/UTKFace/
-
-
-
-
-
-
-
-
logs
-
-
tensorflow.keras.optimizers.schedules.ExponentialDecay
0.96
100000
0.001
tensorflow.keras.optimizers.schedules.ExponentialDecay
0.99
100000
0.00001
BaselineCNN
-
Finished
moritzm00
BaselineCNNv1
13m 23s
-
-
-
true
-
horizontal
0.1
0.1
-
-
ckpts/model-{epoch:02d}-{val_mae:.2f}
5
false
val_mae
true
true
false
ckpts
data
3
-
[200,200]
UTKFace
data/UTKFace/
-
-
-
-
-
-
-
-
logs
-
-
tensorflow.keras.optimizers.schedules.ExponentialDecay
0.96
100000
0.001
tensorflow.keras.optimizers.schedules.ExponentialDecay
0.99
100000
0.00001
BaselineCNN
-
Killed
moritzm00
BaselineCNNv1
17m 33s
-
-
-
true
-
horizontal
0.1
0.1
-
-
ckpts/model-{epoch:02d}-{val_mae:.2f}
5
false
val_mae
true
true
false
ckpts
data
3
-
[200,200]
UTKFace
data/UTKFace/
-
-
-
-
-
-
-
-
logs
-
-
tensorflow.keras.optimizers.schedules.ExponentialDecay
0.96
100000
0.001
tensorflow.keras.optimizers.schedules.ExponentialDecay
0.99
100000
0.00001
BaselineCNN
-
1-3
of 3