resnet18_c100 / config.yaml
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:sparkles: Add checkpoint
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accelerator: null
accumulate_grad_batches: null
amp_backend: null
amp_level: null
auto_augment: null
auto_lr_find: false
auto_scale_batch_size: false
auto_select_gpus: null
batch_size: 128
benchmark: null
check_val_every_n_epoch: 1
corrupution_severity: 1
default_root_dir: null
detect_anomaly: false
deterministic: false
devices: null
enable_checkpointing: true
enable_cutout: false
enable_model_summary: true
enable_pixmix: false
enable_progress_bar: false
enable_randaugment: false
fast_dev_run: false
gpus: 1
gradient_clip_algorithm: null
gradient_clip_val: null
inference_mode: true
ipus: null
limit_predict_batches: null
limit_test_batches: null
limit_train_batches: null
limit_val_batches: null
log_every_n_steps: 50
log_graph: false
logger: true
max_epochs: 75
max_steps: -1
max_time: null
min_epochs: null
min_steps: null
move_metrics_to_cpu: false
multi_gpu: false
multiple_trainloader_mode: max_size_cycle
num_nodes: 1
num_processes: null
num_sanity_val_steps: 2
num_workers: 4
only_info: false
overfit_batches: 0.0
plugins: null
precision: 16
profile: false
profiler: null
reload_dataloaders_every_n_epochs: 0
replace_sampler_ddp: true
resume_from_checkpoint: null
save_every: null
seed: null
strategy: null
sync_batchnorm: false
test: null
tpu_cores: null
track_grad_norm: -1
use_1v2: false