bgl3 · Sequence CNN

reference_bgl3_cnn_plm_modulof2_20261104-183535

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	1.3737	0.5208	0.4789	0.2485	3477.0000	0.0587	138.0000	0.7000	0.8639	2.1466	0.3737	0.7400	0.8266	2.4113	0.0400	0.4089	0.7200	0.7586	2.6204	0.0700	0.4077	0.7053	0.7634	2.6204	0.0632	0.4078
validation	1.2375	0.3210	0.2617	0.1025	437.0000	-0.0937	819.0000	0.3000	-0.1011	1.9459	0.1012	0.3600	0.0602	3.0445	0.1200	0.1931	0.3900	-0.0305	3.0445	0.1300	0.1768	0.3750	0.0444	1.9459	0.0000	0.1559
test	1.3644	0.3470	0.3544	0.1149	432.0000	-0.0448	571.0000	0.7000	0.3277	1.3581	0.3022	0.4600	0.0398	2.2054	0.0600	0.2336	0.3900	-0.0628	2.2054	0.1000	0.2109	0.5882	0.2374	1.3581	0.0000	0.2804

Loss per epoch

training validation

Config

name: reference_bgl3_cnn_plm_modulof2
task: dms
data:
  dataset: bgl3
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: modulo
  split_fold: 2
model:
  name: cnn
  conv:
  - - 32
    - 17
  hidden:
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 64
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7