ube4b · Sequence CNN
reference_ube4b_cnn_plm_randomf2_20261104-183138
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 | 2.0015 | 0.6877 | 0.6527 | 0.4720 | 12472.0000 | 0.4621 | 73.0000 | 1.0000 | 5.6813 | 7.1065 | 0.1000 | 0.0000 | 0.7731 | 1.0000 | 5.0657 | 7.8259 | 0.2000 | 0.0000 | 0.8158 | 1.0000 | 4.8722 | 9.1537 | 0.3200 | 0.0000 | 0.8404 | 0.9932 | 3.9155 | 9.1537 | 0.5661 | 0.0000 | 0.8819 |
| validation | 2.1267 | 0.6614 | 0.6264 | 0.4375 | 4203.0000 | 0.4345 | 60.0000 | 1.0000 | 5.4503 | 6.7153 | 0.2000 | 0.0000 | 0.8672 | 1.0000 | 4.6197 | 6.7778 | 0.3400 | 0.0000 | 0.8571 | 1.0000 | 4.3522 | 6.9328 | 0.5100 | 0.0000 | 0.8866 | 0.9898 | 3.7530 | 6.9328 | 0.5279 | 0.0000 | 0.8657 |
| test | 2.1862 | 0.6542 | 0.6145 | 0.4278 | 4076.0000 | 0.4409 | 4.0000 | 1.0000 | 5.8375 | 9.1845 | 0.1000 | 0.0000 | 0.8185 | 1.0000 | 4.6257 | 9.1845 | 0.3800 | 0.0000 | 0.8285 | 1.0000 | 4.3331 | 9.1845 | 0.4100 | 0.0000 | 0.8571 | 0.9898 | 3.9871 | 9.1845 | 0.5736 | 0.0000 | 0.8839 |
Loss per epoch
training
validation
Config
name: reference_ube4b_cnn_plm_randomf2
task: dms
data:
dataset: ube4b
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: random
split_fold: 2
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