pab1 · Linear

reference_pab1_lr_plm_modulof2_20261104-184237

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	0.8036	0.9069	0.9147	0.7879	1717.0000	0.0274	3742.0000	0.3000	-0.1842	0.2206	0.5763	0.4000	-0.0392	0.5871	0.0000	0.6833	0.4700	-0.0293	0.5871	0.0200	0.7253	0.5229	0.0060	0.8367	0.0654	0.7637
validation	2.0240	0.6514	0.6464	0.4209	223.0000	0.1743	474.0000	0.1000	-0.3822	0.0979	0.5396	0.2800	-0.2682	0.7491	0.1600	0.6631	0.2700	-0.3444	0.7491	0.1600	0.6635	0.2500	-0.2281	0.7491	0.1250	0.6262
test	1.7535	0.7325	0.7417	0.5115	116.0000	-0.1526	265.0000	0.5000	-0.0857	0.3030	0.7538	0.3600	-0.2931	0.4546	0.1200	0.7356	0.3000	-0.2596	0.4719	0.2500	0.7897	0.5000	-0.1558	0.3030	0.0000	0.7383

Loss per epoch

training validation

Config

name: reference_pab1_lr_plm_modulof2
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: modulo
  split_fold: 2
model:
  name: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.001
  patience: 15
  min_delta: 1.0e-05
  seed: 7