pab1 · Sequence CNN
reference_pab1_cnn_modulof4_20261104-170153
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 | 2.0661 | 0.6932 | 0.6873 | 0.4644 | 1414.0000 | 0.0207 | 7449.0000 | 0.1000 | -0.2282 | 0.3458 | 0.0000 | 0.0000 | 0.5867 | 0.2000 | -0.2468 | 0.6979 | 0.0200 | 0.0000 | 0.6442 | 0.2400 | -0.1908 | 0.6979 | 0.0200 | 0.0000 | 0.6919 | 0.2587 | -0.1886 | 0.6979 | 0.0420 | 0.0000 | 0.7068 |
| validation | 3.4287 | -0.0624 | -0.0400 | -0.0673 | 171.0000 | 0.0398 | 804.0000 | 0.0000 | -3.0901 | -0.3829 | 0.0000 | 0.0000 | -0.5052 | 0.0800 | -2.5639 | 0.3298 | 0.0400 | 0.0000 | -0.3441 | 0.0900 | -2.4712 | 0.3298 | 0.0700 | 0.0000 | -0.3178 | 0.0588 | -2.6785 | 0.3298 | 0.0588 | 0.0000 | -0.3609 |
| test | 4.1834 | -0.2670 | -0.1913 | -0.1253 | 234.0000 | -0.0083 | 962.0000 | 0.1000 | -2.9958 | 0.0857 | 0.0000 | 0.0000 | -0.5956 | 0.0400 | -3.2784 | 0.2124 | 0.0000 | 0.0000 | -0.7924 | 0.0600 | -3.2599 | 0.4516 | 0.0400 | 0.0000 | -0.8226 | 0.1333 | -2.4398 | 0.2124 | 0.0000 | 0.0000 | -0.3561 |
Loss per epoch
training
validation
Config
name: reference_pab1_cnn_modulof4
task: dms
data:
dataset: pab1
encoding: one_hot,aa_index
split_dir: null
split_scheme: modulo
split_fold: 4
model:
name: cnn
conv:
- - 128
- 17
- - 128
- 17
- - 128
- 17
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 128
learning_rate: 0.0001
patience: 15
min_delta: 1.0e-05
seed: 7