ube4b · Sequence CNN
reference_ube4b_cnn_randomf4_20261104-165045
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 | 1.9894 | 0.6915 | 0.6563 | 0.4760 | 12414.0000 | 0.4616 | 1.0000 | 1.0000 | 6.3357 | 9.1845 | 0.2000 | 0.0000 | 0.8509 | 1.0000 | 5.1574 | 9.1845 | 0.2800 | 0.0000 | 0.8242 | 1.0000 | 4.9845 | 9.1845 | 0.3900 | 0.0000 | 0.8570 | 0.9915 | 3.9366 | 9.1845 | 0.5661 | 0.0000 | 0.8862 |
| validation | 2.1615 | 0.6504 | 0.6127 | 0.4218 | 4174.0000 | 0.4195 | 43.0000 | 1.0000 | 5.0320 | 7.8259 | 0.1000 | 0.0000 | 0.7628 | 1.0000 | 4.7850 | 8.6246 | 0.3800 | 0.0000 | 0.8592 | 1.0000 | 4.3439 | 8.6246 | 0.4900 | 0.0000 | 0.8714 | 0.9898 | 3.8599 | 8.6246 | 0.5888 | 0.0000 | 0.8745 |
| test | 2.1877 | 0.6576 | 0.6205 | 0.4310 | 4163.0000 | 0.4581 | 58.0000 | 1.0000 | 4.9305 | 7.7437 | 0.2000 | 0.0000 | 0.7615 | 1.0000 | 4.6756 | 7.7437 | 0.3400 | 0.0000 | 0.8482 | 1.0000 | 4.3506 | 9.1537 | 0.4400 | 0.0000 | 0.8691 | 0.9898 | 3.7879 | 9.1537 | 0.5279 | 0.0000 | 0.8577 |
Loss per epoch
training
validation
Config
name: reference_ube4b_cnn_randomf4
task: dms
data:
dataset: ube4b
encoding: one_hot,aa_index
split_dir: null
split_scheme: random
split_fold: 4
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