ube4b · Sequence CNN
reference_ube4b_cnn_contiguousf2_20261104-164528
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 | 2.3390 | 0.4918 | 0.4965 | 0.2085 | 9957.0000 | 0.1572 | 5457.0000 | 0.8000 | 1.9574 | 4.0867 | 0.0000 | 0.0000 | 0.4302 | 0.8400 | 1.5724 | 4.5416 | 0.0200 | 0.0000 | 0.4466 | 0.8500 | 1.6127 | 4.5416 | 0.0500 | 0.0000 | 0.4935 | 0.8481 | 1.2193 | 5.5143 | 0.1332 | 0.0000 | 0.5239 |
| validation | 4.4527 | -0.0942 | -0.0859 | -0.1863 | 323.0000 | -0.1329 | 2192.0000 | 0.0000 | -2.3595 | -0.1283 | 0.0000 | 0.0000 | -0.0560 | 0.1000 | -2.4247 | 0.6790 | 0.0000 | 0.0000 | -0.0823 | 0.0900 | -2.3200 | 0.8717 | 0.0000 | 0.0000 | -0.0733 | 0.1200 | -2.1509 | 0.5155 | 0.0000 | 0.0000 | -0.0292 |
| test | 6.1326 | -0.2676 | -0.3340 | -0.0574 | 88.0000 | -0.2152 | 390.0000 | 0.0000 | -2.8478 | -0.1808 | 0.0000 | 0.0000 | -0.1992 | 0.0600 | -2.4205 | 3.1571 | 0.0200 | 0.0000 | -0.1783 | 0.0600 | -2.4504 | 3.1571 | 0.0700 | 0.0000 | -0.2558 | 0.0000 | -3.1864 | -1.9059 | 0.0000 | 0.0000 | -0.2257 |
Loss per epoch
training
validation
Config
name: reference_ube4b_cnn_contiguousf2
task: dms
data:
dataset: ube4b
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
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