pab1 · Linear

reference_pab1_lr_modulof3_20261104-161537

Metrics

Set	mse	pearsonr	spearmanr	r2	above_wt_n	above_wt_spearmanr	budget_to_max	hit_rate_at_10	mean_at_10	max_at_10	captured_at_10	hit_rate_at_50	mean_at_50	max_at_50	precision_at_50	captured_at_50	hit_rate_at_100	mean_at_100	max_at_100	precision_at_100	captured_at_100	hit_rate_at_1pct	mean_at_1pct	max_at_1pct	precision_at_1pct	captured_at_1pct
train	1.5701	0.7936	0.8008	0.5739	1256.0000	0.0631	1566.0000	0.4000	-0.6400	0.2581	0.4539	0.3800	-0.2727	1.1524	0.0400	0.6297	0.3600	-0.1608	1.1524	0.0400	0.7093	0.3716	-0.1354	1.1524	0.0541	0.7405
validation	3.5060	0.2415	0.1982	0.0569	234.0000	-0.0200	1090.0000	0.0000	-1.1983	-0.0626	0.0000	0.2039	0.1000	-1.2098	0.5502	0.0600	0.0000	0.2184	0.1300	-1.2489	0.5502	0.0900	0.0000	0.2093	0.0667	-1.6778	0.2124	0.0000	0.0000	-0.0095
test	3.5392	0.0898	0.0929	-0.0126	223.0000	0.0109	497.0000	0.2000	-1.6308	0.4152	0.0000	0.0174	0.1000	-1.8349	0.4152	0.0400	0.0000	-0.0768	0.1400	-1.6955	0.7491	0.0700	0.0000	-0.0116	0.1250	-2.0664	0.4152	0.0000	0.0000	-0.1708

Loss per epoch

training validation

Config

name: reference_pab1_lr_modulof3
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 3
model:
  name: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.001
  patience: 15
  min_delta: 1.0e-05
  seed: 7