pab1 · Sequence CNN
reference_pab1_cnn_contiguousf4_20261104-170935
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 | 1.2664 | 0.8772 | 0.8778 | 0.6952 | 1652.0000 | 0.0416 | 5216.0000 | 0.6000 | 0.0948 | 0.6496 | 0.0000 | 0.0000 | 0.7415 | 0.5200 | -0.0364 | 0.6496 | 0.0200 | 0.0000 | 0.7525 | 0.5100 | -0.0313 | 0.8532 | 0.0400 | 0.0000 | 0.7812 | 0.5000 | -0.0567 | 0.8532 | 0.0833 | 0.0000 | 0.7958 |
| validation | 3.7244 | 0.1712 | 0.1890 | -0.0048 | 222.0000 | 0.1270 | 2422.0000 | 0.1000 | -2.3622 | 0.3444 | 0.0000 | 0.0000 | 0.0789 | 0.0400 | -2.1446 | 0.3444 | 0.0200 | 0.0000 | 0.1567 | 0.0200 | -1.5893 | 0.3444 | 0.0100 | 0.0000 | 0.3565 | 0.0408 | -2.1514 | 0.3444 | 0.0204 | 0.0000 | 0.1542 |
| test | 3.5681 | 0.0046 | 0.0044 | -0.9129 | 931.0000 | -0.0183 | 4085.0000 | 0.0000 | -1.7242 | -0.0509 | 0.0000 | 0.0000 | -0.3555 | 0.0400 | -1.5123 | 0.4060 | 0.0000 | 0.0000 | -0.2899 | 0.0700 | -1.4320 | 0.4516 | 0.0100 | 0.0000 | -0.2636 | 0.0444 | -1.4938 | 0.4060 | 0.0000 | 0.0000 | -0.2764 |
Loss per epoch
training
validation
Config
name: reference_pab1_cnn_contiguousf4
task: dms
data:
dataset: pab1
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
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