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config.yaml
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53 lines (49 loc) · 1.15 KB
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global:
seed: 42
out_dir: "output"
trainer:
max_epochs: 30
accelerator: auto
devices: auto
precision: "bf16-mixed"
strategy: "auto"
model:
name: "alexnet_depthg"
num_classes: 10
pretrained: true
lr: 2e-4
image_size: 384
weight_decay: 5e-3
scheduler: "onecycle"
# warmup_pct: 0.15
label_smoothing: 0.1
consistency_loss_type: "mse"
# temperature: 4.0
max_logit_norm: 10.0
ema_decay: 0.999
ema_warmup_steps: 400
consistency_rampup_steps: 0.25
final_consistency_weight: 1.0
data:
original_data_dir: "../input/original/train"
depth_data_dir: "../input/processed_depth/train"
csv_path: "../input/driver_imgs_list.csv"
batch_size: 128
num_workers: 12
pin_memory: True
persistent_workers: True
prefetch_factor: 8
image_size: 384
validation_split: 0.2
# num_folds: 3
# fold_index: 0
# start_fold: 0
data_test:
predict_dir: "../input/original/test"
depth_data_dir: "../input/processed_depth/test"
batch_size: 512
num_workers: 8
pin_memory: True
persistent_workers: True
prefetch_factor: 4
image_size: 384