bgl3 · Sequence CNN
reference_bgl3_cnn_mr5_contiguousf1_20261104-221922
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 | 1.5124 | 0.6431 | 0.6987 | 0.1817 | 151.0000 | 0.0016 | 136.0000 | 0.3000 | -0.7199 | 0.2595 | 0.0000 | 0.0000 | 0.3900 | 0.2400 | -0.6513 | 0.4161 | 0.1200 | 0.0000 | 0.4900 | 0.2600 | -0.4510 | 0.7042 | 0.1900 | 0.0000 | 0.6310 | 0.2647 | -0.5964 | 0.4161 | 0.0588 | 0.0000 | 0.4991 |
| validation | 1.9183 | -0.1875 | -0.2062 | -0.0064 | 26.0000 | -0.2848 | 248.0000 | 0.0000 | -3.0018 | -0.2800 | 0.0000 | 0.0000 | -0.6033 | 0.0200 | -3.0071 | 0.1631 | 0.0200 | 0.0000 | -0.6907 | 0.0100 | -2.7348 | 0.1631 | 0.0200 | 0.0000 | -0.5783 | 0.0000 | -3.0485 | -0.2800 | 0.0000 | 0.0000 | -0.6336 |
| test | 1.6962 | -0.3294 | -0.2891 | -0.1821 | 40.0000 | 0.1181 | 319.0000 | 0.0000 | -2.7206 | -1.3499 | 0.0000 | 0.0000 | -0.8620 | 0.0000 | -2.6237 | -0.2022 | 0.0000 | 0.0000 | -0.9978 | 0.0000 | -2.3199 | -0.0612 | 0.0100 | 0.0000 | -0.8473 | 0.0000 | -2.7853 | -1.3499 | 0.0000 | 0.0000 | -0.8849 |
Loss per epoch
training
validation
Config
name: reference_bgl3_cnn_mr5_contiguousf1
task: dms
data:
dataset: bgl3
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
split_fold: 1
min_reads: 5
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