ube4b · Sequence CNN
reference_ube4b_cnn_modulof3_20261104-161553
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 | 3.1312 | 0.4665 | 0.4629 | 0.2079 | 7842.0000 | 0.4425 | 1119.0000 | 0.9000 | 3.9362 | 6.7153 | 0.1000 | 0.5844 | 0.9400 | 3.7714 | 8.6246 | 0.1200 | 0.6584 | 0.9500 | 3.7963 | 8.6246 | 0.1900 | 0.7095 | 0.9107 | 3.2517 | 8.6246 | 0.4150 | 0.7363 | ||||
| validation | 3.6112 | 0.1798 | 0.2077 | -0.0433 | 318.0000 | 0.0461 | 771.0000 | 0.1000 | -2.3457 | 0.7977 | 0.0000 | 0.0000 | -0.1309 | 0.1400 | -1.7340 | 2.2222 | 0.0200 | 0.0000 | -0.0310 | 0.2500 | -1.2462 | 3.0401 | 0.0700 | 0.0000 | 0.1022 | 0.0556 | -2.2074 | 0.7977 | 0.0000 | 0.0000 | -0.1191 |
| test | 3.0815 | -0.0426 | -0.0131 | -0.0175 | 418.0000 | 0.0456 | 656.0000 | 0.0000 | -3.0995 | -1.1925 | 0.0000 | 0.0000 | -0.3841 | 0.1400 | -2.0527 | 1.4424 | 0.0000 | 0.0000 | -0.2081 | 0.1500 | -1.6870 | 2.5721 | 0.0500 | 0.0000 | -0.1246 | 0.0000 | -3.3370 | -0.5689 | 0.0000 | 0.0000 | -0.4697 |
Loss per epoch
training
validation
Config
name: reference_ube4b_cnn_modulof3
task: dms
data:
dataset: ube4b
encoding: one_hot,aa_index
split_dir: null
split_scheme: modulo
split_fold: 3
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