bgl3 · Sequence CNN
reference_bgl3_cnn_contiguousf4_20261104-170419
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 | 2.0308 | 0.4200 | 0.3818 | -0.0314 | 5893.0000 | 0.0846 | 1658.0000 | 0.8000 | 1.1723 | 2.5419 | 0.0000 | 0.0000 | 0.4511 | 0.7200 | 0.7798 | 2.8245 | 0.0600 | 0.0000 | 0.3697 | 0.6700 | 0.6312 | 2.8245 | 0.0300 | 0.0000 | 0.3365 | 0.6382 | 0.5629 | 2.9405 | 0.0263 | 0.0000 | 0.3227 |
| validation | 2.0085 | -0.0660 | -0.0732 | -0.0022 | 1218.0000 | -0.0250 | 2792.0000 | 0.4000 | -0.5422 | 1.8690 | 0.0000 | 0.0000 | 0.0387 | 0.3400 | -0.5674 | 2.0841 | 0.0200 | 0.0000 | 0.0371 | 0.3000 | -0.7054 | 2.0841 | 0.0500 | 0.0000 | -0.0099 | 0.3256 | -0.4720 | 2.0841 | 0.0233 | 0.0000 | 0.0681 |
| test | 1.9683 | -0.0115 | 0.0098 | -0.1083 | 1997.0000 | 0.0655 | 1411.0000 | 0.6000 | -0.2349 | 1.5945 | 0.0000 | 0.0000 | -0.0155 | 0.5200 | -0.4073 | 1.9459 | 0.0000 | 0.0000 | -0.0847 | 0.5100 | -0.3184 | 2.8548 | 0.0200 | 0.0000 | -0.0537 | 0.5106 | -0.4017 | 1.9459 | 0.0000 | 0.0000 | -0.0821 |
Loss per epoch
training
validation
Config
name: reference_bgl3_cnn_contiguousf4
task: dms
data:
dataset: bgl3
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
split_fold: 4
model:
name: cnn
conv:
- - 32
- 17
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 64
learning_rate: 0.0001
patience: 15
min_delta: 1.0e-05
seed: 7