_scott's workspace
Runs
313
Name
142 visualized
State
Notes
User
Tags
Created
Runtime
Sweep
Learner._name
Learner.loss_func._name
Learner.loss_func._name._name
Learner.loss_func._name.axis
Learner.loss_func._name.reduction
Learner.loss_func._name.smooth
Learner.loss_func._name.square_in_union
Learner.loss_func.axis
Learner.loss_func.gamma
Learner.loss_func.reduction
Learner.loss_func.smooth
Learner.loss_func.square_in_union
Learner.lr
Learner.metrics
Learner.model_dir
Learner.moms
Learner.opt_func
Learner.path
Learner.splitter
Learner.train_bn
Learner.wd_bn_bias
MixedPrecision
ParamScheduler
ProgressCallback
Recorder.add_time
Recorder.train_metrics
Recorder.valid_metrics
TrainEvalCallback
WandbCallback.log
WandbCallback.log_dataset
WandbCallback.log_model
WandbCallback.log_preds
WandbCallback.n_preds
WandbCallback.reorder
WandbCallback.seed
artifact_id
backbone
batch per epoch
batch size
batch_size
dataset.tfms
device
dls.after_batch
dls.after_item
Finished
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geekyrakshit
1m 52s
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geekyrakshit
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geekyrakshit
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geekyrakshit
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capecape
9m 20s
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<fastai.learner.Learner object at 0x7fd8ec581040>
FlattenedLoss of FocalLoss()
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mean
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0.001
["<fastai.metrics.DiceMulti object at 0x7fd8ec6653a0>","fastai.metrics.foreground_acc"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
artifacts/camvid-dataset:v0
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
camvid-dataset:latest
resnet34
70
8
8
[Pipeline: PILBase.create, Pipeline: label_func -> PILBase.create]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline: AddMaskCodes -> Resize -- {'size': (480, 360), 'method': 'crop', 'pad_mode': 'reflection', 'resamples': (2, 0), 'p': 1.0} -> ToTensor
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capecape
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capecape
latest
7m 43s
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<fastai.learner.Learner object at 0x7f9e1403bdf0>
FlattenedLoss of FocalLoss()
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mean
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0.001
["<fastai.metrics.DiceMulti object at 0x7f9e1412d070>","fastai.metrics.foreground_acc"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
artifacts/camvid-dataset:v0
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
camvid-dataset:latest
resnet34
70
8
8
[Pipeline: PILBase.create, Pipeline: label_func -> PILBase.create]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline: AddMaskCodes -> Resize -- {'size': (480, 360), 'method': 'crop', 'pad_mode': 'reflection', 'resamples': (2, 0), 'p': 1.0} -> ToTensor
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capecape
latest
8m 3s
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<fastai.learner.Learner object at 0x7f4878748e80>
FlattenedLoss of FocalLoss()
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2
mean
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0.001
["<fastai.metrics.DiceMulti object at 0x7f489c097820>","fastai.metrics.foreground_acc"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
artifacts/camvid-dataset:v0
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
camvid-dataset:latest
resnet50
35
16
16
[Pipeline: PILBase.create, Pipeline: label_func -> PILBase.create]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline: AddMaskCodes -> Resize -- {'size': (480, 360), 'method': 'crop', 'pad_mode': 'reflection', 'resamples': (2, 0), 'p': 1.0} -> ToTensor
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capecape
latest
3m 21s
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<fastai.learner.Learner object at 0x7fb37478ee20>
FlattenedLoss of FocalLoss()
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mean
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0.001
["<fastai.metrics.DiceMulti object at 0x7fb384088d00>","fastai.metrics.foreground_acc"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
artifacts/camvid-dataset:v0
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
camvid-dataset:latest
resnet50
35
16
16
[Pipeline: PILBase.create, Pipeline: label_func -> PILBase.create]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline: AddMaskCodes -> Resize -- {'size': (240, 180), 'method': 'crop', 'pad_mode': 'reflection', 'resamples': (2, 0), 'p': 1.0} -> ToTensor
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capecape
latest
4m 30s
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<fastai.learner.Learner object at 0x7f9c60275bb0>
FlattenedLoss of FocalLoss()
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2
mean
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0.001
["<fastai.metrics.DiceMulti object at 0x7f9c60276070>","fastai.metrics.foreground_acc"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
artifacts/camvid-dataset:v0
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
camvid-dataset:latest
vgg19
35
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[Pipeline: PILBase.create, Pipeline: label_func -> PILBase.create]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline: AddMaskCodes -> Resize -- {'size': (240, 180), 'method': 'crop', 'pad_mode': 'reflection', 'resamples': (2, 0), 'p': 1.0} -> ToTensor
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capecape
latest
3m 14s
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<fastai.learner.Learner object at 0x7f2e9c897e50>
FlattenedLoss of FocalLoss()
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2
mean
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0.001
["<fastai.metrics.DiceMulti object at 0x7f2e9ee63370>","fastai.metrics.foreground_acc"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
artifacts/camvid-dataset:v0
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
camvid-dataset:latest
mobilenetv2_100
35
16
16
[Pipeline: PILBase.create, Pipeline: label_func -> PILBase.create]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline: AddMaskCodes -> Resize -- {'size': (240, 180), 'method': 'crop', 'pad_mode': 'reflection', 'resamples': (2, 0), 'p': 1.0} -> ToTensor
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capecape
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capecape
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geekyrakshit
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geekyrakshit
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geekyrakshit
missing
14m 53s
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<fastai.learner.Learner object at 0x7f054dd3fe20>
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FlattenedLoss of CrossEntropyLoss()
1
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0.001
["<fastai.metrics.DiceMulti object at 0x7f056403bfd0>","fastai.metrics.foreground_acc"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
artifacts/camvid-dataset:v0
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
camvid-dataset:latest
resnet34
70
8
8
[Pipeline: PILBase.create, Pipeline: label_func -> PILBase.create]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline: AddMaskCodes -> Resize -- {'size': (480, 360), 'method': 'crop', 'pad_mode': 'reflection', 'resamples': (2, 0), 'p': 1.0} -> ToTensor
Finished
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geekyrakshit
missing
10m 36s
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<fastai.learner.Learner object at 0x7f1fd003cdf0>
FlattenedLoss of CrossEntropyLoss()
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1
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0.001
["<fastai.metrics.DiceMulti object at 0x7f1fd012baf0>","fastai.metrics.foreground_acc"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
artifacts/camvid-dataset:v0
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
camvid-dataset:latest
resnet34
70
8
8
[Pipeline: PILBase.create, Pipeline: label_func -> PILBase.create]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline: AddMaskCodes -> Resize -- {'size': (480, 360), 'method': 'crop', 'pad_mode': 'reflection', 'resamples': (2, 0), 'p': 1.0} -> ToTensor
Finished
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geekyrakshit
missing
15m 26s
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<fastai.learner.Learner object at 0x7f0c7eb2da90>
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FlattenedLoss of CrossEntropyLoss()
1
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1
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0.001
["<fastai.metrics.DiceMulti object at 0x7f0c7ebf2c40>","fastai.metrics.foreground_acc"]
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
artifacts/camvid-dataset:v0
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
gradients
false
false
false
36
true
12345
camvid-dataset:latest
resnet50
35
16
16
[Pipeline: PILBase.create, Pipeline: label_func -> PILBase.create]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline: AddMaskCodes -> Resize -- {'size': (480, 360), 'method': 'crop', 'pad_mode': 'reflection', 'resamples': (2, 0), 'p': 1.0} -> ToTensor
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