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config.yml
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100 lines (96 loc) · 1.88 KB
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base:
seed: 77
model_arc: 'nfnet_l0'
num_classes: 7
input_dir: './train/train.csv'
output_dir: './results/'
train_only: False
image_size: 227
cutmix_args:
use_cutmix: False
beta: 1.0
cutmix_prob: 0.5
train_args:
num_epochs: 6
train_batch_size: 32
val_batch_size: 32
max_lr: 0.0001
min_lr: 0.00001
cycle: 3
gamma: 0.5
weight_decay: 0.000001
log_intervals: 10
eval_metric: 'accuracy'
n_splits: 5
nfnet:
seed: 77
model_arc: 'nfnet_l0'
num_classes: 7
input_dir: './train/train.csv'
output_dir: './results/'
train_only: False
image_size: 227
cutmix_args:
use_cutmix: True
beta: 1.0
cutmix_prob: 0.5
train_args:
num_epochs: 6
train_batch_size: 32
val_batch_size: 32
max_lr: 0.0001
min_lr: 0.00001
cycle: 3
gamma: 0.5
weight_decay: 0.000001
log_intervals: 10
eval_metric: 'accuracy'
n_splits: 5
swin:
seed: 777
model_arc: 'swin_base_patch4_window7_224'
num_classes: 7
input_dir: './train/train.csv'
output_dir: './results/'
train_only: False
image_size: 224
cutmix_args:
use_cutmix: True
beta: 1.0
cutmix_prob: 0.5
train_args:
num_epochs: 10
train_batch_size: 16
val_batch_size: 16
max_lr: 0.0001
min_lr: 0.00001
cycle: 3
gamma: 0.5
weight_decay: 0.000001
log_intervals: 10
eval_metric: 'accuracy'
n_splits: 5
xception:
seed: 77
model_arc: 'xception'
num_classes: 7
input_dir: './train/train.csv'
output_dir: './results/'
train_only: False
image_size: 227
cutmix_args:
use_cutmix: True
beta: 1.0
cutmix_prob: 0.5
train_args:
num_epochs: 5
train_batch_size: 32
val_batch_size: 32
max_lr: 0.0001
min_lr: 0.00001
cycle: 3
gamma: 0.5
weight_decay: 0.000001
log_intervals: 10
eval_metric: 'accuracy'
n_splits: 5