pab1 · Sequence CNN
reference_pab1_cnn_modulof1_20261104-153736
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 | captured_at_10 | hit_rate_at_50 | mean_at_50 | max_at_50 | precision_at_50 | captured_at_50 | hit_rate_at_100 | mean_at_100 | max_at_100 | precision_at_100 | captured_at_100 | hit_rate_at_1pct | mean_at_1pct | max_at_1pct | precision_at_1pct | captured_at_1pct | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train | 2.3689 | 0.5920 | 0.5514 | 0.3406 | 1937.0000 | -0.0164 | 7811.0000 | 0.3000 | -0.1799 | 0.5540 | 0.0000 | 0.5714 | 0.1600 | -0.6643 | 0.5540 | 0.0000 | 0.4329 | 0.2000 | -0.5676 | 0.7204 | 0.0300 | 0.4928 | 0.1812 | -0.5653 | 0.7204 | 0.0336 | 0.5070 | ||||
| validation | 4.0697 | -0.1733 | -0.0881 | -0.1337 | 116.0000 | 0.0964 | 600.0000 | 0.0000 | -5.0565 | -3.5589 | 0.0000 | 0.0000 | -1.2781 | 0.0200 | -3.5887 | 0.3193 | 0.0200 | 0.0000 | -0.7455 | 0.0500 | -3.0043 | 0.3193 | 0.0500 | 0.0000 | -0.5080 | 0.0000 | -4.7946 | -3.3580 | 0.0000 | 0.0000 | -1.1922 |
| test | 4.6025 | 0.2074 | 0.2586 | -0.1530 | 132.0000 | 0.3009 | 443.0000 | 0.1000 | -3.2566 | 0.4188 | 0.1000 | 0.0000 | -0.3579 | 0.1200 | -2.5271 | 0.4188 | 0.0600 | 0.0000 | -0.1155 | 0.1700 | -2.3219 | 0.4681 | 0.1500 | 0.0000 | -0.0360 | 0.1176 | -3.0831 | 0.4188 | 0.0588 | 0.0000 | -0.3101 |
Loss per epoch
training
validation
Config
name: reference_pab1_cnn_modulof1
task: dms
data:
dataset: pab1
encoding: one_hot,aa_index
split_dir: null
split_scheme: modulo
split_fold: 1
model:
name: cnn
conv:
- - 128
- 17
- - 128
- 17
- - 128
- 17
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 128
learning_rate: 0.0001
patience: 15
min_delta: 1.0e-05
seed: 7