Keremturgutlu's workspace
Runs
71
Name
5 visualized
Algorithm: SupCon
Algorithm: SupCon
5
Algorithm: DINO
Algorithm: DINO
31
Algorithm: Barlow-Twins
Algorithm: Barlow-Twins
12
Algorithm: MoCo
Algorithm: MoCo
6
Algorithm: SWAV
Algorithm: SWAV
17
State
Notes
Algorithm
Resize
Size
epoch
batch size
Learner.lr
Learner.loss_func
Learner.opt_func
Commit
GitHub
GPU Count
GPU Type
Learner._name
Learner.model_dir
Learner.moms
Learner.path
Learner.splitter
Learner.train_bn
Learner.wd_bn_bias
MixedPrecision
ParamScheduler
ProgressCallback
Recorder.add_time
Recorder.train_metrics
Recorder.valid_metrics
TerminateOnNaNCallback
TrainEvalCallback
dataset.tfms
device
dls.after_batch
dls.after_item
dls.before_batch
frozen idx
frozen
input 1 dim 1
input 1 dim 2
input 1 dim 3
input 1 dim 4
Finished
-
SupCon
256
224
28.25
360
0.001
-
fastai.optimizer.Lamb
-
-
-
-
<fastai.learner.Learner object at 0x7fa905878ee0>
models
0.91667
.
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
-
true
[Pipeline: PILBase.create -> RandomResizedCrop -- {'size': (256, 256), 'min_scale': 1.0, 'ratio': (0.75, 1.3333333333333333), 'resamples': (2, 0), 'val_xtra': 0.14, 'max_scale': 1.0, 'p': 1.0} -> ToTensor, Pipeline: parent_label -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline:
Pipeline:
0
false
360
3
256
256
Finished
-
DINO
256
224
26.36031
64
0.001
-
["fastai.optimizer.Adam","fastai.optimizer.ranger"]
-
-
-
-
["<fastai.learner.Learner object at 0x7f19e7fba860>","<fastai.learner.Learner object at 0x7f54c12b8b00>","<fastai.learner.Learner object at 0x7f5b253b3c50>","<fastai.learner.Learner object at 0x7f5f63de5f98>","<fastai.learner.Learner object at 0x7f709f797a20>","<fastai.learner.Learner object at 0x7f71cae37978>","<fastai.learner.Learner object at 0x7f8004503710>","<fastai.learner.Learner object at 0x7f9a56dbc470>","<fastai.learner.Learner object at 0x7fdcfcbfe978>","<fastai.learner.Learner object at 0x7ff40076a048>"]
models
0.91667
.
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
true
[Pipeline: PILBase.create -> RandomResizedCrop -- {'size': (256, 256), 'min_scale': 1.0, 'ratio': (0.75, 1.3333333333333333), 'resamples': (2, 0), 'val_xtra': 0.14, 'max_scale': 1.0, 'p': 1.0} -> ToTensor, Pipeline: parent_label -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline:
Pipeline:
0
false
64
3
256
256
Crashed
best lambda = 5e-3
Barlow-Twins
256
224
55.13142
209.45455
0.001
-
fastai.optimizer.Adam
-
-
-
-
["<fastai.learner.Learner object at 0x7efc909709d0>","<fastai.learner.Learner object at 0x7f75703c7e10>","<fastai.learner.Learner object at 0x7f7570fda650>","<fastai.learner.Learner object at 0x7f75a3b49d50>","<fastai.learner.Learner object at 0x7f75a413bd90>","<fastai.learner.Learner object at 0x7f7c13655b50>","<fastai.learner.Learner object at 0x7f87a3295890>","<fastai.learner.Learner object at 0x7f8816496f90>","<fastai.learner.Learner object at 0x7f8a48198b90>","<fastai.learner.Learner object at 0x7f8a80857610>"]
models
0.91667
.
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
-
true
[Pipeline: PILBase.create -> RandomResizedCrop -- {'size': (256, 256), 'min_scale': 1.0, 'ratio': (0.75, 1.3333333333333333), 'resamples': (2, 0), 'val_xtra': 0.14, 'p': 1.0} -> ToTensor, Pipeline: parent_label -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline:
Pipeline:
0
false
209.45455
3
256
256
Finished
-
MoCo
256
224
100.33333
102.4
0.001
-
fastai.optimizer.Adam
-
-
-
-
["<fastai.learner.Learner object at 0x7f101d672c90>","<fastai.learner.Learner object at 0x7f5f90ddcf90>","<fastai.learner.Learner object at 0x7f6d182dc510>","<fastai.learner.Learner object at 0x7fb7b28b89d0>","<fastai.learner.Learner object at 0x7fe5b29a06d0>"]
models
0.91667
.
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
true
[Pipeline: PILBase.create -> RandomResizedCrop -- {'size': (256, 256), 'min_scale': 1.0, 'ratio': (0.75, 1.3333333333333333), 'resamples': (2, 0), 'val_xtra': 0.14, 'p': 1.0} -> ToTensor, Pipeline: parent_label -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline:
Pipeline:
0
false
102.4
3
256
256
Finished
xresnet original augs training for 100 epochs
SWAV
237.17647
205.17647
41.06132
110.76923
0.001
SWAVLoss()
fastai.optimizer.Adam
-
-
-
-
["<fastai.learner.Learner object at 0x7f0cff2f2ed0>","<fastai.learner.Learner object at 0x7f0d4ccb9490>","<fastai.learner.Learner object at 0x7f1135181a90>","<fastai.learner.Learner object at 0x7f12cdfe1750>","<fastai.learner.Learner object at 0x7f1686f29a90>","<fastai.learner.Learner object at 0x7f2498ee0050>","<fastai.learner.Learner object at 0x7f34d0f25450>","<fastai.learner.Learner object at 0x7f622902eed0>","<fastai.learner.Learner object at 0x7f73d52f1950>","<fastai.learner.Learner object at 0x7feda92a5850>"]
models
0.91667
.
fastai.torch_core.trainable_params
true
false
true
true
true
true
false
true
true
true
["[Pipeline: PILBase.create -> RandomResizedCrop -- {'size': (160, 160), 'min_scale': 0.9, 'ratio': (0.75, 1.3333333333333333), 'resamples': (2, 0), 'val_xtra': 0.14, 'p': 1.0} -> ToTensor, Pipeline: parent_label -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]","[Pipeline: PILBase.create -> RandomResizedCrop -- {'size': (224, 224), 'min_scale': 0.9, 'ratio': (0.75, 1.3333333333333333), 'resamples': (2, 0), 'val_xtra': 0.14, 'p': 1.0} -> ToTensor, Pipeline: parent_label -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]","[Pipeline: PILBase.create -> RandomResizedCrop -- {'size': (224, 224), 'min_scale': 1.0, 'ratio': (0.75, 1.3333333333333333), 'resamples': (2, 0), 'val_xtra': 0.14, 'p': 1.0} -> ToTensor, Pipeline: parent_label -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]","[Pipeline: PILBase.create -> RandomResizedCrop -- {'size': (256, 256), 'min_scale': 1.0, 'ratio': (0.75, 1.3333333333333333), 'resamples': (2, 0), 'val_xtra': 0.14, 'p': 1.0} -> ToTensor, Pipeline: parent_label -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]"]
cuda
Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}
Pipeline:
Pipeline:
0
false
110.76923
3
233.84615
233.84615
1-5
of 5