bgl3 · Sequence CNN
reference_bgl3_cnn_plm_contiguousf2_20261104-184402
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 | 1.5027 | 0.4613 | 0.4060 | 0.1950 | 4995.0000 | -0.0148 | 4302.0000 | 0.4000 | 0.1702 | 1.3581 | 0.0000 | 0.0000 | 0.1562 | 0.6200 | 0.6135 | 3.1160 | 0.0400 | 0.0000 | 0.3291 | 0.7000 | 0.6226 | 3.1160 | 0.0400 | 0.0000 | 0.3526 | 0.6618 | 0.5361 | 3.1160 | 0.0441 | 0.0000 | 0.3298 |
| validation | 1.7768 | 0.2939 | 0.1771 | 0.0826 | 1899.0000 | -0.0813 | 3027.0000 | 0.5000 | -0.5083 | 1.5945 | 0.0000 | 0.0000 | -0.0710 | 0.5000 | -0.3191 | 2.0841 | 0.0000 | 0.0000 | -0.0131 | 0.4400 | -0.3412 | 2.5002 | 0.0300 | 0.0000 | -0.0226 | 0.5102 | -0.2981 | 2.0841 | 0.0000 | 0.0000 | -0.0055 |
| test | 2.0813 | 0.1906 | 0.0966 | 0.0252 | 1465.0000 | -0.0422 | 1667.0000 | 0.2000 | -0.2111 | 1.0480 | 0.0000 | 0.0000 | 0.0873 | 0.4200 | -0.2956 | 2.1466 | 0.0200 | 0.0000 | 0.0694 | 0.3700 | -0.4404 | 2.1466 | 0.0200 | 0.0000 | 0.0202 | 0.4186 | -0.3555 | 2.1466 | 0.0000 | 0.0000 | 0.0479 |
Loss per epoch
training
validation
Config
name: reference_bgl3_cnn_plm_contiguousf2
task: dms
data:
dataset: bgl3
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: contiguous
split_fold: 2
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