gb1 · Sequence CNN
reference_gb1_cnn_mr5_modulof0_20261105-005551
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 | 0.3689 | 0.9641 | 0.9677 | 0.9219 | 30954.0000 | 0.7948 | 75.0000 | 1.0000 | 1.6092 | 1.9240 | 0.0000 | 0.0000 | 0.8893 | 1.0000 | 1.5989 | 2.0942 | 0.1200 | 0.0000 | 0.9290 | 1.0000 | 1.6056 | 2.5295 | 0.2700 | 0.0000 | 0.9474 | 1.0000 | 1.3570 | 2.5295 | 0.7575 | 0.0000 | 0.9848 |
| validation | 7.1922 | 0.0786 | 0.0583 | -0.2404 | 4369.0000 | 0.0661 | 13097.0000 | 0.0000 | -4.3126 | -1.3733 | 0.0000 | 0.0000 | -0.5058 | 0.1600 | -3.4785 | 0.7567 | 0.0000 | 0.0000 | -0.3010 | 0.1400 | -3.3040 | 0.7685 | 0.0000 | 0.0000 | -0.2593 | 0.1768 | -3.2302 | 0.9118 | 0.0000 | 0.0000 | -0.2444 |
| test | 8.1375 | 0.0416 | 0.0101 | -0.4595 | 2671.0000 | 0.1354 | 9664.0000 | 0.3000 | -2.3862 | 0.5235 | 0.0000 | 0.0000 | 0.0984 | 0.2400 | -2.4242 | 0.6664 | 0.0000 | 0.0000 | 0.0924 | 0.2400 | -2.5061 | 0.6664 | 0.0000 | 0.0000 | 0.0723 | 0.2200 | -2.8646 | 0.6849 | 0.0000 | 0.0000 | -0.0251 |
Loss per epoch
training
validation
Config
name: reference_gb1_cnn_mr5_modulof0
task: dms
data:
dataset: gb1
encoding: one_hot,aa_index
split_dir: null
split_scheme: modulo
split_fold: 0
min_reads: 5
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