Vinayak_nayak's workspace
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3
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Runtime
Sweep
CSVLogger
Learner._name
Learner.arch
Learner.loss_func
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
SaveModelCallback.at_end
SaveModelCallback.every_epoch
SaveModelCallback.fname
SaveModelCallback.with_opt
ShowGraphCallback
TrainEvalCallback
WandbCallback.log
WandbCallback.log_dataset
WandbCallback.log_model
WandbCallback.log_preds
WandbCallback.n_preds
WandbCallback.reorder
WandbCallback.seed
Crashed
vinayak_nayak
57m 10s
-
true
<fastai.learner.Learner object at 0x7fefa011e490>
torchvision.models.resnet.resnet50
PolyLoss()
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0.001
["fastai.metrics.accuracy",{"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7fefa1db2550>","thresh":null,"flatten":true,"activation":"no","dim_argmax":-1},{"func":"__main__.testAccuracy","_name":"<fastai.metrics.AccumMetric object at 0x7fefa1e37d30>","thresh":null,"flatten":true,"activation":"no","dim_argmax":-1},{"thresh":null,"flatten":true,"activation":"no","dim_argmax":-1,"func":"__main__.testF1Score","_name":"<fastai.metrics.AccumMetric object at 0x7fefa1e37d00>"}]
models
[0.95,0.85,0.95]
102
true
fastai.optimizer.Adam
.
true
fastai.vision.learner._resnet_split
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false
true
true
true
false
true
false
false
../models/polyLoss_unfrozen_model
false
true
true
gradients
false
true
true
10
true
12345
Crashed
vinayak_nayak
1h 22m 9s
-
true
<fastai.learner.Learner object at 0x7fab6d36e1f0>
torchvision.models.resnet.resnet50
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FlattenedLoss of CrossEntropyLoss()
-1
true
false
true
-1
true
false
true
0.001
["fastai.metrics.accuracy",{"func":"sklearn.metrics._classification.f1_score","_name":"<fastai.metrics.AccumMetric object at 0x7fab6dcb81f0>","thresh":null,"flatten":true,"activation":"no","dim_argmax":-1},{"_name":"<fastai.metrics.AccumMetric object at 0x7fab6c25e700>","thresh":null,"flatten":true,"activation":"no","dim_argmax":-1,"func":"__main__.testAccuracy"},{"_name":"<fastai.metrics.AccumMetric object at 0x7fab6c25e6d0>","thresh":null,"flatten":true,"activation":"no","dim_argmax":-1,"func":"__main__.testF1Score"}]
models
[0.95,0.85,0.95]
102
true
fastai.optimizer.Adam
.
true
fastai.vision.learner._resnet_split
true
false
true
true
true
false
true
false
false
../models/ce_unfrozen_model
false
true
true
gradients
false
true
true
10
true
12345
Crashed
vinayak_nayak
55m 5s
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