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snn_conv_1_gesture_max.yaml
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snn_conv_1_gesture_max.yaml
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experiment_name:
snn_conv_1_gesture_max
pytorch_seed:
2
hyperparameters:
# default parameters
length:
30
batch_size:
64
synapse_type:
'dual_exp'
epoch:
100
droupout:
0.3
tau_m:
4
tau_s:
1
filter_tau_m:
4
filter_tau_s:
1
train_coefficients:
True
train_bias:
True
membrane_filer:
False
optimizer:
optimizer_choice:
'Adam'
Adam:
lr: 0.0001
AdamW:
lr: 0.0001
SGD:
lr: 0.0001
scheduler:
scheduler_choice:
'MultiStepLR'
MultiStepLR:
milestones:
- 50
- 100
gamma:
0.1
CosineAnnealingWarmRestarts:
T_0:
1000
CyclicLR:
base_lr:
0.0001
max_lr:
0.001
step_size_up:
2000
# configs for saving checkpoint
save_checkpoint:
True
checkpoint_base_name:
checkpoint_
checkpoint_base_path:
./checkpoint/
# the checkpoint used for test
test_checkpoint_path:
./checkpoint/checkpoint_snn_conv_1_gesture_max_68_20210125-122242
acc_file_name:
'snn_conv_1_gesture_max_acc.csv'