pab1 · Linear

reference_pab1_lr_modulof4_20261104-170238

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	precision_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	1.1843	0.8397	0.8454	0.6930	1414.0000	0.1080	2830.0000	0.3000	-1.5376	0.4480	0.0000	0.1545	0.4000	-0.3767	0.5727	0.0200	0.5967	0.4100	-0.2230	1.1524	0.0300	0.6796	0.4336	-0.1720	1.1524	0.0490	0.7133
validation	3.5844	-0.1529	-0.1586	-0.1157	171.0000	0.0178	165.0000	0.1000	-2.6532	0.7406	0.1000	-0.3313	0.0200	-2.7371	0.7406	0.0200	-0.4243	0.0200	-2.6104	0.7406	0.0100	-0.3858	0.0588	-2.4910	0.7406	0.0588	-0.2820
test	3.5604	0.2383	0.1949	0.0423	234.0000	-0.0134	1087.0000	0.0000	-1.1983	-0.0626	0.0000	0.2039	0.1200	-1.2009	0.5502	0.0600	0.2228	0.1500	-1.1730	0.5502	0.0900	0.2483	0.0667	-1.3737	0.2124	0.0000	0.1288

Loss per epoch

training validation

Config

name: reference_pab1_lr_modulof4
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 4
model:
  name: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.001
  patience: 15
  min_delta: 1.0e-05
  seed: 7