ube4b · Sequence CNN
reference_ube4b_cnn_plm_randomf1_20261104-180715
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train | 1.9606 | 0.6956 | 0.6623 | 0.4824 | 12540.0000 | 0.4694 | 73.0000 | 1.0000 | 5.8116 | 7.7437 | 0.2000 | 0.0000 | 0.7984 | 1.0000 | 5.2555 | 8.0483 | 0.3000 | 0.0000 | 0.8444 | 1.0000 | 5.1329 | 9.1537 | 0.3700 | 0.0000 | 0.8778 | 1.0000 | 3.9463 | 9.1537 | 0.5695 | 0.0000 | 0.8900 |
| validation | 2.1739 | 0.6565 | 0.6161 | 0.4310 | 4076.0000 | 0.4467 | 2.0000 | 1.0000 | 5.6859 | 9.1845 | 0.1000 | 0.0000 | 0.8014 | 1.0000 | 4.8574 | 9.1845 | 0.4200 | 0.0000 | 0.8602 | 1.0000 | 4.4558 | 9.1845 | 0.4300 | 0.0000 | 0.8753 | 0.9848 | 3.9064 | 9.1845 | 0.5533 | 0.0000 | 0.8707 |
| test | 2.1480 | 0.6580 | 0.6188 | 0.4330 | 4135.0000 | 0.4428 | 204.0000 | 1.0000 | 4.8630 | 6.5758 | 0.1000 | 0.0000 | 0.7762 | 1.0000 | 4.3587 | 6.5758 | 0.3400 | 0.0000 | 0.8096 | 1.0000 | 4.2302 | 6.5758 | 0.4600 | 0.0000 | 0.8566 | 0.9949 | 3.8750 | 6.5758 | 0.5482 | 0.0000 | 0.8771 |
Loss per epoch
training
validation
Config
name: reference_ube4b_cnn_plm_randomf1
task: dms
data:
dataset: ube4b
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: random
split_fold: 1
model:
name: cnn
conv:
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 128
learning_rate: 0.0001
patience: 15
min_delta: 1.0e-05
seed: 7