Krenerd77's group workspace
Group: ResNet50-pretrained-sweep
Name
11 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
DEBUG_MODE
VERBOSE
callbacks
const/label_map
const/normalization_mean
const/normalization_std
const/task
dataloader/base_dataloader/num_workers
dataloader/base_dataloader/pin_memory
dataloader/base_dataloader/prefetch_factor
dataloader/base_dataloader/shuffle
dataloader/trn/shuffle
dataloader/val/drop_last
dataloader/val/shuffle
dataset/MODE
dataset/NAME
dataset/dataset_base_cfg/download
dataset/dataset_base_cfg/root
dataset/dataset_subset_cfg/trn/download
dataset/dataset_subset_cfg/trn/train
dataset/dataset_subset_cfg/val/train
dataset/initial_transform/name
dataset/transformations
dataset/trn_size
dataset/val_size
debug/network_summary/input_shape
debug/view_train_augmentation/imsize
debug/view_train_augmentation/plot_size
debug/view_train_augmentation/resize_to
debug/view_train_augmentation/save_to
debug/view_train_augmentation/subplot_dim
model/backbone/ID
model/backbone/TYPE
model/backbone/cfg/low_res
model/backbone/out_features
model/heads/classifier/ID
model/heads/classifier/cfg/dropout
model/heads/classifier/cfg/in_features
model/heads/classifier/cfg/num_classes
model/heads/classifier/cfg/reduction
model/heads/classifier/cfg/return_logits
model/heads/classifier/input
model/modules/classifier/args/dropout
model/modules/classifier/args/in_features
Crashed
krenerd77
4h 10m 28s
-
false
DEFAULT
-
["airplane","automobile","bird","cat","deer","dog","frog","horse","ship","truck"]
[0.4914,0.4822,0.4465]
[0.2023,0.1994,0.201]
image classification
8
true
2
true
true
false
false
-
-
-
-
-
-
-
TupleToClassificationData
-
-
-
[3,32,32]
-
5
[256,256]
vis/training_samples.png
[4,4]
resnet50
timm
-
2048
-
-
-
-
-
-
-
0.2
2048
Finished
krenerd77
5h 44m 11s
-
false
DEFAULT
[{"name":"ModelCheckpoint","args":{"mode":"max","monitor":"epoch_val/accuracy","save_last":true,"save_top_k":1},"file":"lightning"},{"args":{"logging_interval":"epoch"},"file":"lightning","name":"LearningRateMonitor"}]
["airplane","automobile","bird","cat","deer","dog","frog","horse","ship","truck"]
[0.4914,0.4822,0.4465]
[0.2023,0.1994,0.201]
image classification
8
true
2
true
true
false
false
-
-
-
-
-
-
-
TupleToClassificationData
-
-
-
[3,32,32]
-
5
[256,256]
vis/training_samples.png
[4,4]
resnet50
timm
-
2048
-
-
-
-
-
-
-
0.2
2048
Crashed
krenerd77
3h 35m 50s
-
false
DEFAULT
-
["airplane","automobile","bird","cat","deer","dog","frog","horse","ship","truck"]
[0.4914,0.4822,0.4465]
[0.2023,0.1994,0.201]
image classification
8
true
2
true
true
false
false
-
-
-
-
-
-
-
TupleToClassificationData
-
-
-
[3,32,32]
-
5
[256,256]
vis/training_samples.png
[4,4]
resnet50
timm
-
2048
-
-
-
-
-
-
-
0.2
2048
Crashed
krenerd77
28m 9s
-
false
DEFAULT
-
["airplane","automobile","bird","cat","deer","dog","frog","horse","ship","truck"]
[0.4914,0.4822,0.4465]
[0.2023,0.1994,0.201]
image classification
8
true
2
true
true
false
false
-
-
-
-
-
-
-
TupleToClassificationData
-
-
-
[3,32,32]
-
5
[256,256]
vis/training_samples.png
[4,4]
resnet50
timm
-
2048
-
-
-
-
-
-
-
0.2
2048
Failed
krenerd77
38m 26s
-
false
DEFAULT
-
["airplane","automobile","bird","cat","deer","dog","frog","horse","ship","truck"]
[0.4914,0.4822,0.4465]
[0.2023,0.1994,0.201]
image classification
8
true
2
true
true
false
false
-
-
-
-
-
-
-
TupleToClassificationData
-
-
-
[3,32,32]
-
5
[256,256]
vis/training_samples.png
[4,4]
resnet50
timm
-
2048
-
-
-
-
-
-
-
0.2
2048
Crashed
krenerd77
3h 25m 18s
-
false
DEFAULT
-
["airplane","automobile","bird","cat","deer","dog","frog","horse","ship","truck"]
[0.4914,0.4822,0.4465]
[0.2023,0.1994,0.201]
image classification
8
true
2
true
true
false
false
-
-
-
-
-
-
-
TupleToClassificationData
-
-
-
[3,32,32]
-
5
[256,256]
vis/training_samples.png
[4,4]
resnet50
timm
-
2048
-
-
-
-
-
-
-
0.2
2048
Crashed
krenerd77
2h 43m 25s
-
false
DEFAULT
[{"args":{"mode":"max","monitor":"epoch_val/accuracy","save_last":true,"save_top_k":1},"file":"lightning","name":"ModelCheckpoint"},{"args":{"logging_interval":"epoch"},"file":"lightning","name":"LearningRateMonitor"}]
["airplane","automobile","bird","cat","deer","dog","frog","horse","ship","truck"]
[0.4914,0.4822,0.4465]
[0.2023,0.1994,0.201]
image classification
8
true
2
true
true
false
false
-
-
-
-
-
-
-
TupleToClassificationData
-
-
-
[3,32,32]
-
5
[256,256]
vis/training_samples.png
[4,4]
resnet50
timm
-
2048
-
-
-
-
-
-
-
0.2
2048
Crashed
krenerd77
2m 38s
-
false
DEFAULT
-
["airplane","automobile","bird","cat","deer","dog","frog","horse","ship","truck"]
[0.4914,0.4822,0.4465]
[0.2023,0.1994,0.201]
image classification
8
true
2
true
true
false
false
-
-
-
-
-
-
-
TupleToClassificationData
-
-
-
[3,32,32]
-
5
[256,256]
vis/training_samples.png
[4,4]
resnet50
timm
-
2048
-
-
-
-
-
-
-
0.2
2048
Crashed
krenerd77
3h 43m 19s
-
false
DEFAULT
-
["airplane","automobile","bird","cat","deer","dog","frog","horse","ship","truck"]
[0.4914,0.4822,0.4465]
[0.2023,0.1994,0.201]
image classification
8
true
2
true
true
false
false
-
-
-
-
-
-
-
TupleToClassificationData
-
-
-
[3,32,32]
-
5
[256,256]
vis/training_samples.png
[4,4]
resnet50
timm
-
2048
-
-
-
-
-
-
-
0.2
2048
Finished
krenerd77
35s
-
false
DEFAULT
-
["airplane","automobile","bird","cat","deer","dog","frog","horse","ship","truck"]
[0.4914,0.4822,0.4465]
[0.2023,0.1994,0.201]
image classification
8
true
2
true
true
false
false
-
-
-
-
-
-
-
TupleToClassificationData
-
-
-
[3,32,32]
-
5
[256,256]
vis/training_samples.png
[4,4]
resnet18
timm
-
512
-
-
-
-
-
-
-
0.2
512
Crashed
krenerd77
29s
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