ube4b · Sequence CNN
reference_ube4b_cnn_modulof4_20261104-170246
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 | 3.1647 | 0.4363 | 0.4384 | 0.1838 | 6783.0000 | 0.3861 | 525.0000 | 1.0000 | 4.4773 | 6.1942 | 0.0000 | 0.0000 | 0.6576 | 0.9400 | 3.1812 | 6.1942 | 0.1000 | 0.0000 | 0.5994 | 0.9200 | 3.4020 | 8.6246 | 0.1900 | 0.0000 | 0.6800 | 0.9040 | 3.1471 | 8.6246 | 0.4139 | 0.0000 | 0.7355 |
| validation | 3.3649 | 0.0789 | 0.0990 | -0.0312 | 645.0000 | -0.0466 | 833.0000 | 0.6000 | -0.1156 | 1.8351 | 0.0000 | 0.0000 | 0.1953 | 0.3000 | -1.0951 | 2.9306 | 0.0400 | 0.0000 | 0.0292 | 0.3400 | -0.9156 | 2.9306 | 0.0600 | 0.0000 | 0.0786 | 0.3571 | -0.8728 | 2.7360 | 0.0000 | 0.0000 | 0.0715 |
| test | 3.4069 | 0.2143 | 0.1998 | 0.0157 | 318.0000 | 0.0419 | 1153.0000 | 0.2000 | -1.9541 | 0.7977 | 0.0000 | 0.0000 | -0.0616 | 0.2600 | -1.0310 | 3.2700 | 0.0600 | 0.0000 | 0.1388 | 0.2800 | -0.9169 | 3.3311 | 0.1000 | 0.0000 | 0.1958 | 0.1667 | -1.7894 | 0.7977 | 0.0000 | 0.0000 | -0.0364 |
Loss per epoch
training
validation
Config
name: reference_ube4b_cnn_modulof4
task: dms
data:
dataset: ube4b
encoding: one_hot,aa_index
split_dir: null
split_scheme: modulo
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