pab1 · Sequence CNN
reference_pab1_cnn_contiguousf2_20261104-164356
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 | 2.2230 | 0.6575 | 0.6548 | 0.3918 | 1747.0000 | -0.0635 | 8677.0000 | 0.4000 | 0.0080 | 0.2747 | 0.0000 | 0.0000 | 0.6672 | 0.4800 | -0.0131 | 0.4896 | 0.0000 | 0.0000 | 0.7209 | 0.5000 | -0.0163 | 0.8505 | 0.0400 | 0.0000 | 0.7509 | 0.4778 | -0.0320 | 0.8505 | 0.0444 | 0.0000 | 0.7733 |
| validation | 2.5767 | -0.1256 | -0.1157 | -0.0154 | 383.0000 | 0.0915 | 2565.0000 | 0.0000 | -2.0559 | -0.1267 | 0.0000 | 0.0000 | -0.4310 | 0.0600 | -2.0163 | 0.6979 | 0.0200 | 0.0000 | -0.4725 | 0.0700 | -2.0254 | 0.6979 | 0.0300 | 0.0000 | -0.5174 | 0.0625 | -1.8840 | 0.6979 | 0.0312 | 0.0000 | -0.3801 |
| test | 5.3895 | -0.3431 | -0.3568 | -0.2689 | 475.0000 | 0.0956 | 3623.0000 | 0.0000 | -4.4935 | -2.9918 | 0.0000 | 0.0000 | -0.7614 | 0.0000 | -4.0433 | -0.5353 | 0.0000 | 0.0000 | -0.6531 | 0.0100 | -3.9184 | 0.3802 | 0.0100 | 0.0000 | -0.6288 | 0.0000 | -3.9600 | -0.5353 | 0.0000 | 0.0000 | -0.6213 |
Loss per epoch
training
validation
Config
name: reference_pab1_cnn_contiguousf2
task: dms
data:
dataset: pab1
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
split_fold: 2
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