Hyunji

Delete config.py

1 -config = {
2 - "debug" : False,
3 - "seed" : 0,
4 - "wandb.use" : False,
5 - "wandb.run_id" : None,
6 - "project" : "brain-age",
7 - "result_folder" : "result",
8 - "mode" : ["test", "train"],
9 -
10 - "data.name" : "brain_age",
11 - "data.root_path" : "/content/drive/MyDrive/2d-slice-set-networks-for-brain-age-master/data",
12 - "data.train_csv" : "data/train0609.csv",
13 - "data.test_csv" : "data/test0609.csv",
14 - "data.valid_csv" : "data/valid0609.csv",
15 - "data.train_num_sample" : -1,
16 - "data.frame_keep_style" : "random",
17 - "data.frame_keep_fraction" : 1,
18 - "data.frame_dim" : 1,
19 - "data.impute" : "drop",
20 -
21 - "model.name" : "regression",
22 -
23 - "model.arch.file" : "src/arch/brain_age_3d.py",
24 - "model.arch.lstm_feat_dim" : 2,
25 - "model.arch.lstm_latent_dim" : 128,
26 - "model.arch.attn_dim" : 32,
27 - "model.arch.attn_num_heads" : 1,
28 - "model.arch.attn_drop" : False,
29 - "model.arch.agg_fn" : "attention",
30 -
31 - "train.batch_size" : 8,
32 - "train.patience" : 100,
33 - "train.max_epoch" : 100,
34 - "train.optimizer" : "adam",
35 - "train.lr" : 1e-4,
36 - "train.weight_decay" : 1e-4,
37 - "train.save_strategy" : ["best", "last"],
38 - "train.log_every" : 100,
39 - "train.stopping_criteria" : "loss",
40 - "train.stopping_criteria_direction": "lower",
41 - "train.gradient_norm_clip" : -1,
42 -
43 - "test.batch_size" : 8,
44 - "test.eval_model" : "best",
45 -}