Bhargava-ajay's workspace
Runs
2
State
Notes
User
Tags
Created
Runtime
Sweep
CastToTensor
Learner._name
Learner.default_cbs
Learner.loss_func._name
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.opt_func
Learner.path
Learner.splitter
Learner.train_bn
Learner.wd_bn_bias
ProgressCallback
Recorder.add_time
Recorder.train_metrics
Recorder.valid_metrics
TrainEvalCallback
WandbCallback.dataset_name
WandbCallback.log_dataset
WandbCallback.log_model
WandbCallback.log_preds
WandbCallback.log_preds_every_epoch
WandbCallback.n_preds
WandbCallback.reorder
WandbCallback.seed
arch
batch per epoch
batch size
batch_tfms
bs
dataset.tfms
device
dls.after_batch
dls.after_item
dls.before_batch
epochs
frozen idx
frozen
input 1 dim 1
Finished
-
bhargava-ajay
7s
-
true
<tsai.tslearner.TSClassifier object at 0x2afd3d206fc0>
true
FlattenedLoss of CrossEntropyLoss()
-1
true
false
true
0.001
fastai.metrics.accuracy
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
tsai.models.utils.ts_splitter
true
false
true
true
false
true
true
extrasensory-train
false
false
false
false
36
true
12345
InceptionTimePlus
53
64
["TSStandardize(by_sample=True, by_var=False, by_step=False)"]
[64,128]
[None, <class 'tsai.data.core.TSClassification'>]
cuda
Pipeline: TSStandardize
Pipeline:
Pipeline:
5
0
false
128
Finished
-
bhargava-ajay
12s
-
true
<tsai.tslearner.TSClassifier object at 0x2ae3e1247da0>
true
FlattenedLoss of CrossEntropyLoss()
-1
true
false
true
0.001
fastai.metrics.accuracy
models
[0.95,0.85,0.95]
fastai.optimizer.Adam
.
tsai.models.utils.ts_splitter
true
false
true
true
false
true
true
extrasensory-train
false
false
false
false
36
true
12345
InceptionTimePlus
53
64
["TSStandardize(by_sample=True, by_var=False, by_step=False)"]
[64,128]
[None, <class 'tsai.data.core.TSClassification'>]
cuda
Pipeline: TSStandardize
Pipeline:
Pipeline:
5
0
false
128
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