ube4b · Sequence CNN
reference_ube4b_cnn_contiguousf1_20261104-154517
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 | captured_at_10 | hit_rate_at_50 | mean_at_50 | max_at_50 | precision_at_50 | captured_at_50 | hit_rate_at_100 | mean_at_100 | max_at_100 | precision_at_100 | captured_at_100 | hit_rate_at_1pct | mean_at_1pct | max_at_1pct | precision_at_1pct | captured_at_1pct | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train | 2.4042 | 0.5588 | 0.5496 | 0.2385 | 9072.0000 | 0.2550 | 67.0000 | 1.0000 | 3.7317 | 6.1580 | 0.1000 | 0.6433 | 1.0000 | 3.1152 | 6.1580 | 0.1000 | 0.6511 | 1.0000 | 2.9665 | 7.6288 | 0.1300 | 0.6854 | 0.9648 | 2.5824 | 7.6288 | 0.3685 | 0.7627 | ||||
| validation | 5.9478 | -0.0988 | -0.0988 | -0.0255 | 88.0000 | 0.1341 | 362.0000 | 0.0000 | -2.9412 | -0.9168 | 0.0000 | 0.0000 | -0.2141 | 0.0800 | -2.3661 | 3.0699 | 0.0200 | 0.0000 | -0.1666 | 0.1500 | -1.8269 | 5.2799 | 0.1600 | 0.0000 | -0.0696 | 0.0000 | -3.9944 | -2.4859 | 0.0000 | 0.0000 | -0.3402 |
| test | 3.7393 | -0.1281 | -0.1538 | -0.0537 | 458.0000 | 0.0739 | 880.0000 | 0.0000 | -3.1402 | -1.6004 | 0.0000 | 0.0000 | -0.2641 | 0.1200 | -2.1473 | 2.7807 | 0.0200 | 0.0000 | -0.1093 | 0.1300 | -1.9067 | 2.7807 | 0.0400 | 0.0000 | -0.0636 | 0.1538 | -2.3048 | 1.9014 | 0.0000 | 0.0000 | -0.1300 |
Loss per epoch
training
validation
Config
name: reference_ube4b_cnn_contiguousf1
task: dms
data:
dataset: ube4b
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
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