pab1 · Linear

reference_pab1_lr_plm_modulof3_20261105-040208

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	0.7028	0.9067	0.9296	0.8093	1256.0000	0.0555	1589.0000	0.5000	-0.0421	0.3812	0.6477	0.5800	0.0501	0.8136	0.0400	0.7447	0.5600	0.0284	0.8136	0.0600	0.7807	0.5811	0.0457	0.8420	0.0743	0.8109
validation	1.6242	0.7510	0.7178	0.5631	234.0000	0.0254	1002.0000	0.4000	-0.0740	0.3657	0.7040	0.2600	-0.2028	0.3807	0.1000	0.7106	0.2900	-0.2137	0.5307	0.1700	0.7405	0.3333	-0.1494	0.3657	0.0000	0.6856
test	2.0537	0.6570	0.6526	0.4124	223.0000	0.1732	464.0000	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

Loss per epoch

training validation

Config

name: reference_pab1_lr_plm_modulof3
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index,plm,plm_sum
  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