avgfp · Sequence CNN
reference_avgfp_cnn_plm_modulof2_20261104-183443
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 | 0.2978 | 0.9010 | 0.8070 | 0.6374 | 1577.0000 | 0.1740 | 634.0000 | 0.6000 | 3.7849 | 4.1068 | 0.2000 | 0.0000 | 0.7150 | 0.6600 | 3.7609 | 4.1068 | 0.0600 | 0.0000 | 0.7445 | 0.6700 | 3.7580 | 4.1068 | 0.0700 | 0.0000 | 0.7713 | 0.6667 | 3.7579 | 4.1068 | 0.0741 | 0.0000 | 0.7750 |
| validation | 0.6293 | 0.3685 | 0.1808 | 0.1056 | 111.0000 | 0.0362 | 253.0000 | 0.1000 | 3.1780 | 3.7298 | 0.0000 | 0.0000 | -0.0178 | 0.0800 | 3.3347 | 3.8220 | 0.0400 | 0.0000 | 0.2280 | 0.0900 | 3.3912 | 3.8220 | 0.0800 | 0.0000 | 0.3387 | 0.0000 | 3.2498 | 3.7122 | 0.0000 | 0.0000 | 0.0797 |
| test | 0.5138 | -0.0078 | 0.0598 | -0.1055 | 135.0000 | 0.1211 | 818.0000 | 0.0000 | 1.4390 | 1.6390 | 0.0000 | 0.0000 | -3.4247 | 0.1000 | 2.5899 | 3.9020 | 0.0400 | 0.0000 | -1.5825 | 0.1300 | 2.9571 | 3.9020 | 0.0900 | 0.0000 | -0.8890 | 0.0000 | 1.4352 | 1.6390 | 0.0000 | 0.0000 | -3.3849 |
Loss per epoch
training
validation
Config
name: reference_avgfp_cnn_plm_modulof2
task: dms
data:
dataset: avgfp
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: modulo
split_fold: 2
model:
name: cnn
conv:
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 64
learning_rate: 0.001
patience: 15
min_delta: 1.0e-05
seed: 7