BOIL-miniImageNet--ravi-resnet18-5-1-Table2.yaml

augment: true
augment_times: 1
augment_times_query: 1
backbone:
  kwargs:
    avg_pool: true
    is_feature: false
    is_flatten: true
  name: resnet18
batch_size: 128
classifier:
  kwargs:
    feat_dim: 512
    inner_param:
      classifier_lr: 0.0
      extractor_lr: 0.3
    testing_method: Once_update
  name: BOIL
data_root: /data/wzy/miniImageNet--ravi
deterministic: true
device_ids: 6
episode_size: 4
epoch: 100
image_size: 84
includes:
- headers/data.yaml
- headers/device.yaml
- headers/misc.yaml
- headers/model.yaml
- headers/optimizer.yaml
- classifiers/BOIL.yaml
log_interval: 100
log_level: info
log_name: null
log_paramerter: false
lr_scheduler:
  kwargs:
    gamma: 1.0
    step_size: 10
  name: StepLR
n_gpu: 1
optimizer:
  kwargs:
    lr: 0.0006
  name: Adam
  other:
    emb_func: 0.0006
parallel_part:
- emb_func
pretrain_path: null
query_num: 15
result_root: ./results
resume: false
save_interval: 10
save_part:
- emb_func
seed: 0
shot_num: 1
tag: null
tb_scale: 3.3333333333333335
test_episode: 600
test_epoch: 5
test_query: 15
test_shot: 1
test_way: 5
train_episode: 2000
use_memory: false
val_per_epoch: 1
way_num: 5