Parallel Coordinates Plot from scratch

Created on October 13|Last edited on October 13
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<null>efficientnet_b0levit_128sregnetx_006regnetx_080regnety_008resnet18resnet50resnetv2_50vit_base_patch32_224vit_tiny_r_s16_p8_224Learner.arch<null>Learner.l...<null>FlattenedLoss of BCEWithLogitsLoss()FlattenedLoss of CrossEntropyLoss()Learner.l...0.0000.0010.0020.0030.0040.0050.0060.0070.0080.0090.010learning_...null0.850.860.870.880.890.900.910.920.930.940.950.96accuracy
Run set1951
Name1,951 visualized
cosmic-sweep-342
cosmic-sweep-342
worthy-sweep-341
worthy-sweep-341
chocolate-sweep-340
chocolate-sweep-340
lyric-sweep-339
lyric-sweep-339
generous-sweep-338
generous-sweep-338
atomic-sweep-337
atomic-sweep-337
sunny-sweep-336
sunny-sweep-336
royal-sweep-335
royal-sweep-335
effortless-sweep-334
effortless-sweep-334
robust-sweep-333
robust-sweep-333
State
Notes
User
Tags
Created
Runtime
Sweep
Learner._name
Learner.arch
Learner.loss_func._name
Learner.loss_func._name._name
Learner.loss_func._name._name._name
Learner.loss_func._name._name.axis
Learner.loss_func._name._name.flatten
Learner.loss_func._name._name.floatify
Learner.loss_func._name._name.is_2d
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
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.log_preds_every_epoch
WandbCallback.n_preds
WandbCallback.reorder
WandbCallback.seed
Finished
-
capecape
3y ago
4m 35s
pets lr=0.002, 0.008
<fastai.learner.Learner object at 0x7f94d04d0370>
vit_tiny_r_s16_p8_224
-
FlattenedLoss of CrossEntropyLoss()
-
-
-
-
-
-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.error_rate","fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
37
true
fastai.optimizer.Adam
/home/jhoward/.fastai/data/oxford-iiit-pet
true
fastai.vision.learner.default_split
true
false
true
true
true
true
false
true
true
-
false
false
false
false
36
true
12345
Finished
-
capecape
3y ago
3m 9s
pets lr=0.002, 0.008
<fastai.learner.Learner object at 0x7f52e07ec0d0>
vit_tiny_r_s16_p8_224
-
FlattenedLoss of CrossEntropyLoss()
-
-
-
-
-
-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.error_rate","fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
37
true
fastai.optimizer.Adam
/home/jhoward/.fastai/data/oxford-iiit-pet
true
fastai.vision.learner.default_split
true
false
true
true
true
true
false
true
true
-
false
false
false
false
36
true
12345
Finished
-
capecape
3y ago
1m 41s
pets lr=0.002, 0.008
<fastai.learner.Learner object at 0x7efb06c43e80>
vit_tiny_r_s16_p8_224
-
FlattenedLoss of CrossEntropyLoss()
-
-
-
-
-
-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.error_rate","fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
37
true
fastai.optimizer.Adam
/home/jhoward/.fastai/data/oxford-iiit-pet
true
fastai.vision.learner.default_split
true
false
true
true
true
true
false
true
true
-
false
false
false
false
36
true
12345
Finished
-
capecape
3y ago
4m 38s
pets lr=0.002, 0.008
<fastai.learner.Learner object at 0x7fc9d2e94fd0>
vit_tiny_patch16_224
-
FlattenedLoss of CrossEntropyLoss()
-
-
-
-
-
-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.error_rate","fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
37
true
fastai.optimizer.Adam
/home/jhoward/.fastai/data/oxford-iiit-pet
true
fastai.vision.learner.default_split
true
false
true
true
true
true
false
true
true
-
false
false
false
false
36
true
12345
Finished
-
capecape
3y ago
3m 8s
pets lr=0.002, 0.008
<fastai.learner.Learner object at 0x7fa75c138130>
vit_tiny_patch16_224
-
FlattenedLoss of CrossEntropyLoss()
-
-
-
-
-
-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.error_rate","fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
37
true
fastai.optimizer.Adam
/home/jhoward/.fastai/data/oxford-iiit-pet
true
fastai.vision.learner.default_split
true
false
true
true
true
true
false
true
true
-
false
false
false
false
36
true
12345
Finished
-
capecape
3y ago
1m 34s
pets lr=0.002, 0.008
<fastai.learner.Learner object at 0x7f9e83720220>
vit_tiny_patch16_224
-
FlattenedLoss of CrossEntropyLoss()
-
-
-
-
-
-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.error_rate","fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
37
true
fastai.optimizer.Adam
/home/jhoward/.fastai/data/oxford-iiit-pet
true
fastai.vision.learner.default_split
true
false
true
true
true
true
false
true
true
-
false
false
false
false
36
true
12345
Finished
-
capecape
3y ago
7m 14s
pets lr=0.002, 0.008
<fastai.learner.Learner object at 0x7f90805b8e80>
vit_small_r26_s32_224
-
FlattenedLoss of CrossEntropyLoss()
-
-
-
-
-
-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.error_rate","fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
37
true
fastai.optimizer.Adam
/home/jhoward/.fastai/data/oxford-iiit-pet
true
fastai.vision.learner.default_split
true
false
true
true
true
true
false
true
true
-
false
false
false
false
36
true
12345
Finished
-
capecape
3y ago
4m 47s
pets lr=0.002, 0.008
<fastai.learner.Learner object at 0x7fdb44e776d0>
vit_small_r26_s32_224
-
FlattenedLoss of CrossEntropyLoss()
-
-
-
-
-
-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.error_rate","fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
37
true
fastai.optimizer.Adam
/home/jhoward/.fastai/data/oxford-iiit-pet
true
fastai.vision.learner.default_split
true
false
true
true
true
true
false
true
true
-
false
false
false
false
36
true
12345
Finished
-
capecape
3y ago
2m 25s
pets lr=0.002, 0.008
<fastai.learner.Learner object at 0x7f3b8344b7c0>
vit_small_r26_s32_224
-
FlattenedLoss of CrossEntropyLoss()
-
-
-
-
-
-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.error_rate","fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
37
true
fastai.optimizer.Adam
/home/jhoward/.fastai/data/oxford-iiit-pet
true
fastai.vision.learner.default_split
true
false
true
true
true
true
false
true
true
-
false
false
false
false
36
true
12345
Finished
-
capecape
3y ago
4m 38s
pets lr=0.002, 0.008
<fastai.learner.Learner object at 0x7fc00055c760>
vit_small_patch32_224
-
FlattenedLoss of CrossEntropyLoss()
-
-
-
-
-
-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.error_rate","fastai.metrics.accuracy"]
models
[0.95,0.85,0.95]
37
true
fastai.optimizer.Adam
/home/jhoward/.fastai/data/oxford-iiit-pet
true
fastai.vision.learner.default_split
true
false
true
true
true
true
false
true
true
-
false
false
false
false
36
true
12345
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