ube4b · Sequence CNN
reference_ube4b_cnn_plm_modulof4_20261105-043040
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 | 2.8534 | 0.5258 | 0.4617 | 0.2641 | 6783.0000 | 0.3067 | 551.0000 | 1.0000 | 4.2543 | 5.1415 | 0.0000 | 0.0000 | 0.6323 | 1.0000 | 4.2885 | 6.1328 | 0.1000 | 0.0000 | 0.7469 | 1.0000 | 3.8865 | 6.5076 | 0.1100 | 0.0000 | 0.7498 | 0.9967 | 3.4640 | 6.7723 | 0.3377 | 0.0000 | 0.7877 |
| validation | 2.8951 | 0.3498 | 0.3483 | 0.1128 | 645.0000 | -0.0316 | 149.0000 | 0.5000 | -0.3878 | 1.5895 | 0.0000 | 0.0000 | 0.1475 | 0.2600 | -0.5957 | 1.5895 | 0.0000 | 0.0000 | 0.1390 | 0.3400 | -0.4928 | 2.6583 | 0.0200 | 0.0000 | 0.1849 | 0.2857 | -0.6376 | 1.5895 | 0.0000 | 0.0000 | 0.1188 |
| test | 3.1697 | 0.3723 | 0.3827 | 0.0842 | 318.0000 | -0.1295 | 503.0000 | 0.5000 | -0.6398 | 1.8717 | 0.0000 | 0.0000 | 0.1709 | 0.3800 | -0.6031 | 5.6421 | 0.0400 | 0.0000 | 0.2422 | 0.3300 | -0.6238 | 5.6421 | 0.0300 | 0.0000 | 0.2791 | 0.4444 | -0.4651 | 1.8717 | 0.0000 | 0.0000 | 0.2257 |
Loss per epoch
training
validation
Config
name: reference_ube4b_cnn_plm_modulof4
task: dms
data:
dataset: ube4b
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: modulo
split_fold: 4
model:
name: cnn
conv:
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 128
learning_rate: 0.0001
patience: 15
min_delta: 1.0e-05
seed: 7