gb1 · Sequence CNN
reference_gb1_cnn_plm_modulof2_20261104-183605
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 | 0.1904 | 0.9844 | 0.9808 | 0.9653 | 34843.0000 | 0.8871 | 6973.0000 | 1.0000 | 1.6165 | 1.8220 | 0.2000 | 0.0000 | 0.9572 | 1.0000 | 1.5265 | 1.8220 | 0.4600 | 0.0000 | 0.9744 | 1.0000 | 1.4847 | 1.8220 | 0.5700 | 0.0000 | 0.9804 | 0.9995 | 1.1301 | 1.8705 | 0.7526 | 0.0000 | 0.9867 |
| validation | 5.0450 | -0.0135 | 0.0089 | -0.1503 | 4705.0000 | -0.1396 | 16013.0000 | 0.0000 | -2.2500 | -1.4054 | 0.0000 | 0.0000 | -0.0843 | 0.0600 | -2.0966 | 0.4094 | 0.0000 | 0.0000 | -0.0494 | 0.0700 | -1.9599 | 0.6725 | 0.0000 | 0.0000 | -0.0132 | 0.0800 | -2.0178 | 0.7091 | 0.0000 | 0.0000 | -0.0300 |
| test | 7.7774 | -0.1931 | -0.2056 | -0.7515 | 1545.0000 | 0.0301 | 15821.0000 | 0.0000 | -4.8766 | -4.0193 | 0.0000 | 0.0000 | -0.5639 | 0.0000 | -5.0529 | -2.4251 | 0.0000 | 0.0000 | -0.6374 | 0.0000 | -4.6846 | -0.6733 | 0.0000 | 0.0000 | -0.5448 | 0.0000 | -4.4350 | -0.5574 | 0.0000 | 0.0000 | -0.4844 |
Loss per epoch
training
validation
Config
name: reference_gb1_cnn_plm_modulof2
task: dms
data:
dataset: gb1
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: modulo
split_fold: 2
model:
name: cnn
conv:
- - 128
- 17
- - 128
- 17
- - 128
- 17
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 32
learning_rate: 0.0001
patience: 15
min_delta: 1.0e-05
seed: 7