ube4b · Sequence CNN
reference_ube4b_cnn_plm_modulof0_20261104-175239
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 | 2.1054 | 0.6949 | 0.6554 | 0.4814 | 5520.0000 | 0.5011 | 633.0000 | 1.0000 | 4.9715 | 6.1880 | 0.0000 | 0.0000 | 0.7465 | 1.0000 | 4.8492 | 7.8259 | 0.2600 | 0.0000 | 0.8363 | 1.0000 | 4.6124 | 7.8259 | 0.3900 | 0.0000 | 0.8604 | 1.0000 | 4.1776 | 7.8259 | 0.5429 | 0.0000 | 0.8874 |
| validation | 2.4670 | 0.4377 | 0.4528 | 0.1900 | 571.0000 | 0.0053 | 1879.0000 | 0.7000 | 0.4483 | 1.6399 | 0.0000 | 0.0000 | 0.3663 | 0.5200 | -0.0877 | 1.6399 | 0.0000 | 0.0000 | 0.3441 | 0.4900 | -0.0930 | 4.3952 | 0.1000 | 0.0000 | 0.3932 | 0.4839 | -0.1406 | 1.6399 | 0.0000 | 0.0000 | 0.2993 |
| test | 3.2190 | 0.3021 | 0.3381 | 0.0136 | 645.0000 | -0.0606 | 461.0000 | 0.2000 | -1.7930 | 0.5635 | 0.0000 | 0.0000 | -0.0992 | 0.1400 | -1.4475 | 1.2547 | 0.0000 | 0.0000 | -0.0483 | 0.2000 | -1.2718 | 1.7461 | 0.0000 | 0.0000 | -0.0111 | 0.2143 | -1.4046 | 1.2547 | 0.0000 | 0.0000 | -0.0356 |
Loss per epoch
training
validation
Config
name: reference_ube4b_cnn_plm_modulof0
task: dms
data:
dataset: ube4b
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: modulo
split_fold: 0
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