LR: 0.5
UD: 0.0
batch_size: 16
brightness: 0.25
classifier: resnet18
config_file: null
contrast: 0.1
crop_size: !!python/tuple
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dali: true
data_dir: /media/jim/FASTER/kinetics700
dataset: kinetics
degrees: 10
distributed: false
early_stopping_begins: null
final_activation: softmax
flow_generator: MotionNet
flow_loss: MotionNet
flow_max: 5
fp16: false
gpu_id: 1
input_images: 11
inputs: rgb
lr: 0.0001
milestones:
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- 100
- 150
- 200
- 250
- 300
min_lr: 5.0e-07
model: flow_generator
model_dir: models
name: kinetics
normalization:
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    mean: null
    std: null
  rgb:
    N: 209715200000
    mean:
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    - 0.39914101362228394
    - 0.37257176637649536
    std:
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    - 0.27423909306526184
    - 0.27391594648361206
notes: dali_only_3_resolutions
num_epochs: 1000
num_flows: null
num_rgb: 11
num_workers: 8
pad: null
patience: 10
preset: null
project_dir: null
random_resize: false
reduction_factor: !!python/object/apply:numpy.core.multiarray.scalar
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  args:
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  state: !!python/tuple
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reload_split: true
resize: null
scheduler: plateau
should_overwrite_args: false
should_viz: true
splitfile: null
steps_per_epoch: 1000
steps_per_test_epoch: 20
steps_per_validation_epoch: 1000
stopping_type: plateau
train_val_test_split:
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- 0.2
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weight_loss: true
weights: null