Johnowhitaker's workspace
Runs
5
State
Notes
User
Tags
Created
Runtime
Sweep
Description
Learner._name
Learner.arch
Learner.loss_func._name
Learner.loss_func._name._name
Learner.loss_func._name.axis
Learner.loss_func._name.flatten
Learner.loss_func._name.floatify
Learner.loss_func._name.is_2d
Learner.loss_func.axis
Learner.loss_func.flatten
Learner.loss_func.floatify
Learner.loss_func.is_2d
Learner.lr
Learner.metrics
Learner.model_dir
Learner.moms
Learner.n_out
Learner.normalize
Learner.opt_func
Learner.path
Learner.pretrained
Learner.splitter
Learner.train_bn
Learner.wd_bn_bias
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
batch per epoch
batch size
dataset.tfms
Finished
johnowhitaker
36m 16s
-
PR - densenet201
<fastai.learner.Learner object at 0x7f27d07344d0>
torchvision.models.densenet.densenet201
-
-
-1
true
false
true
-1
true
false
true
0.001
fastai.metrics.error_rate
models
[0.95,0.85,0.95]
3
true
fastai.optimizer.Adam
.
true
fastai.vision.learner._densenet_split
true
false
true
true
true
false
true
true
gradients
false
true
true
36
true
12345
141
16
[Pipeline: ColReader -- {'cols': 'Image_id', 'pref': 'images/', 'suff': '', 'label_delim': None} -> PILBase.create, Pipeline: ColReader -- {'cols': 'Label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
Finished
johnowhitaker
24m 7s
-
PR - densenet201
<fastai.learner.Learner object at 0x7fe79dd5d250>
torchvision.models.densenet.densenet201
-
-
-1
true
false
true
-1
true
false
true
0.001
fastai.metrics.error_rate
models
[0.95,0.85,0.95]
3
true
fastai.optimizer.Adam
.
true
fastai.vision.learner._densenet_split
true
false
true
true
true
false
true
true
gradients
false
true
true
36
true
12345
141
16
[Pipeline: ColReader -- {'cols': 'Image_id', 'pref': 'images/', 'suff': '', 'label_delim': None} -> PILBase.create, Pipeline: ColReader -- {'cols': 'Label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
Finished
johnowhitaker
12m 18s
-
Baseline from part 1
<fastai.learner.Learner object at 0x7f817a5705d0>
torchvision.models.resnet.resnet34
-
-
-1
true
false
true
-1
true
false
true
0.001
fastai.metrics.error_rate
models
[0.95,0.85,0.95]
3
true
fastai.optimizer.Adam
.
true
fastai.vision.learner._resnet_split
true
false
true
true
true
false
true
true
gradients
false
true
true
36
true
12345
35
64
[Pipeline: ColReader -- {'cols': 'Image_id', 'pref': 'images/', 'suff': '', 'label_delim': None} -> PILBase.create, Pipeline: ColReader -- {'cols': 'Label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
Finished
johnowhitaker
13m 1s
-
Using the RGN images
<fastai.learner.Learner object at 0x7f817728b410>
torchvision.models.resnet.resnet34
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
true
-1
true
false
true
0.001
fastai.metrics.error_rate
models
[0.95,0.85,0.95]
3
true
fastai.optimizer.Adam
.
true
fastai.vision.learner._resnet_split
true
false
true
true
true
false
true
true
gradients
false
true
true
36
true
12345
35
64
[Pipeline: ColReader -- {'cols': 'RGN_Image_id', 'pref': 'images/', 'suff': '', 'label_delim': None} -> PILBase.create, Pipeline: ColReader -- {'cols': 'Label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
Finished
johnowhitaker
1m 46s
-
Baseline from part 1
<fastai.learner.Learner object at 0x7f817685c890>
torchvision.models.resnet.resnet34
-
FlattenedLoss of CrossEntropyLoss()
-1
true
false
true
-1
true
false
true
0.001
fastai.metrics.error_rate
models
[0.95,0.85,0.95]
3
true
fastai.optimizer.Adam
.
true
fastai.vision.learner._resnet_split
true
false
true
true
true
false
true
true
gradients
false
true
true
36
true
12345
35
64
[Pipeline: ColReader -- {'cols': 'Image_id', 'pref': 'images/', 'suff': '', 'label_delim': None} -> PILBase.create, Pipeline: ColReader -- {'cols': 'Label', 'pref': '', 'suff': '', 'label_delim': None} -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
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