pab1 · Linear

reference_pab1_lr_s2_20261104-021536

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	tie_share_at_10	captured_at_10	hit_rate_at_50	mean_at_50	max_at_50	precision_at_50	tie_share_at_50	captured_at_50	hit_rate_at_100	mean_at_100	max_at_100	precision_at_100	tie_share_at_100	captured_at_100	hit_rate_at_1pct	mean_at_1pct	max_at_1pct	precision_at_1pct	tie_share_at_1pct	captured_at_1pct
test	0.7456	0.8966	0.9009	0.8039	477.0000	0.1125	576.0000	0.5000	-0.2456	0.5166	0.0000	0.0000	0.6003	0.6400	0.0424	1.1615	0.1600	0.0000	0.7888	0.6100	0.0467	1.1615	0.2500	0.0000	0.8297	0.6098	-0.0138	0.8505	0.1707	0.0000	0.7549
train	0.6775	0.9054	0.9140	0.8197	3650.0000	0.1946	0.0000	0.6820	0.0800	0.7448	0.1000	0.7598	0.1873	0.8199
validation	0.6977	0.8986	0.9020	0.8074	389.0000	0.1211	571.0000	0.3000	-0.3989	0.3577	0.0000	0.0000	0.5456	0.4000	-0.1575	0.4852	0.0800	0.0000	0.7078	0.4300	-0.1452	0.8445	0.1500	0.0000	0.7493	0.3243	-0.1900	0.4049	0.0270	0.0000	0.6784

Loss per epoch

training validation

Config

name: reference_pab1_lr_s2
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index
  split_dir: pab1/splits/main
model:
  name: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.001
  patience: 15
  min_delta: 1.0e-05
  seed: 2