Clementapa's workspace
Runs
8
State
Notes
User
Tags
Created
Runtime
Sweep
augmentation.size.h
augmentation.size.w
comment
configs.batch_size
configs.checkpoint.mode
configs.checkpoint.monitor
configs.early_stopping.mode
configs.early_stopping.monitor
configs.early_stopping.patience
configs.epoch
configs.seed
data.csv_file
data.root_path
model.name
model.params.pretrained
model.params.pretrained_backbone
optimizer.name
optimizer.params.lr
optimizer.params.momentum
scheduler.monitor
scheduler.name
scheduler.params.T_max
scheduler.params.eta_min
scheduler.params.factor
scheduler.params.mode
scheduler.params.patience
scheduler.params.verbose
wandb.entity
wandb.name_project
lr
train/bbox_regression
train/classification
train/loss_box_reg
train/loss_classifier
train/loss_objectness
train/loss_rpn_box_reg
train/loss_sum
validation/F2_score
Finished
-
clementapa
10h 31m 35s
-
720
1280
Commentaire sur l'entraînement
16
max
validation/F2_score
min
train/loss_sum
80
150
1
/kaggle/input/cots-dataset/train.csv
/kaggle/input/cots-dataset/train_images
model.RetinaNet.RetinaNet
true
true
torch.optim.SGD
0.005
0.9
-
torch.optim.lr_scheduler.CosineAnnealingLR
150
0.00001
-
-
-
-
cots-detection
cots_detection
0.0043591
0.072286
0.00068291
-
-
-
-
0.072969
0.46697
Crashed
-
clementapa
10h 14m 35s
-
720
1280
Commentaire sur l'entraînement
16
max
validation/F2_score
min
train/loss_sum
80
150
1
/kaggle/input/cots-dataset/train.csv
/kaggle/input/cots-dataset/train_images
model.RetinaNet.RetinaNet
true
true
torch.optim.SGD
0.005
0.9
-
torch.optim.lr_scheduler.CosineAnnealingLR
150
0.00001
-
-
-
-
cots-detection
cots_detection
0.0044923
0.13746
0.03505
-
-
-
-
0.17251
0.18342
Failed
-
clementapa
30m 46s
-
720
1280
Commentaire sur l'entraînement
16
max
validation/F2_score
min
train/loss_sum
80
150
1
/kaggle/input/cots-dataset/train.csv
/kaggle/input/cots-dataset/train_images
model.RetinaNet.RetinaNet
true
true
torch.optim.SGD
0.005
0.9
-
torch.optim.lr_scheduler.CosineAnnealingLR
150
0.00001
-
-
-
-
cots-detection
cots_detection
0.005
0.39284
0.4369
-
-
-
-
0.82973
0.11752
Finished
-
clementapa
1h 39m 14s
-
-
-
Commentaire sur l'entraînement
16
max
validation/F2_score
max
validation/F2_score
8
40
1
/kaggle/input/tensorflow-great-barrier-reef/train.csv
/kaggle/input/tensorflow-great-barrier-reef/train_images
model.RetinaNet.RetinaNet
true
true
torch.optim.SGD
0.005
0.9
validation/F2_score
torch.optim.lr_scheduler.ReduceLROnPlateau
-
-
0.1
max
5
true
-
COTS_detection
0.0005
0.19319
0.047778
-
-
-
-
0.24097
0.29306
Finished
-
clementapa
3h 2m 27s
-
-
-
Commentaire sur l'entraînement
16
max
validation/F2_score
max
validation/F2_score
8
20
1
/kaggle/input/tensorflow-great-barrier-reef/train.csv
/kaggle/input/tensorflow-great-barrier-reef/train_images
model.RetinaNet.RetinaNet
true
true
torch.optim.SGD
0.005
0.9
validation/F2_score
torch.optim.lr_scheduler.ReduceLROnPlateau
-
-
0.1
max
5
true
-
COTS_detection
0.005
0.11803
0.016503
-
-
-
-
0.13453
0.23883
Finished
-
clementapa
2h 30m 51s
-
-
-
Commentaire sur l'entraînement
16
max
validation/F2_score
max
validation/F2_score
4
20
1
/kaggle/input/tensorflow-great-barrier-reef/train.csv
/kaggle/input/tensorflow-great-barrier-reef/train_images
model.FasterRCNN.FasterRCNN
true
true
torch.optim.SGD
0.005
0.9
validation/F2_score
torch.optim.lr_scheduler.ReduceLROnPlateau
-
-
0.1
max
2
true
-
COTS_detection
0.0005
-
-
0.056126
0.029294
0.00014949
0.0011258
0.086695
0.39098
Finished
-
clementapa
7h 55m 43s
-
-
-
Commentaire sur l'entraînement
16
max
validation/F2_score
max
validation/F2_score
4
20
1
/kaggle/input/tensorflow-great-barrier-reef/train.csv
/kaggle/input/tensorflow-great-barrier-reef/train_images
model.FasterRCNN.FasterRCNN
true
true
torch.optim.SGD
0.005
0.9
validation/F2_score
torch.optim.lr_scheduler.ReduceLROnPlateau
-
-
0.1
max
2
true
-
COTS_detection
0.0005
-
-
0.013954
0.0051596
0.0014774
0.00028466
0.020875
0.035742
Crashed
-
clementapa
8h 59m 34s
-
-
-
Commentaire sur l'entraînement
16
min
train/loss_sum
min
train/loss_sum
10
50
1
/kaggle/input/tensorflow-great-barrier-reef/train.csv
/kaggle/input/tensorflow-great-barrier-reef/train_images
model.FasterRCNN.FasterRCNN
true
true
torch.optim.SGD
0.005
0.9
train/loss_sum
torch.optim.lr_scheduler.ReduceLROnPlateau
-
-
0.1
min
5
true
-
COTS_detection
0.0005
-
-
0.12114
0.060078
0.0060817
0.0035419
0.19084
0.3886
1-8
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