avgfp · Sequence CNN
reference_avgfp_cnn_modulof2_20261104-162942
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 | 0.3097 | 0.9100 | 0.8160 | 0.6230 | 1577.0000 | 0.2346 | 3387.0000 | 0.8000 | 3.7878 | 3.9560 | 0.0000 | 0.0000 | 0.7180 | 0.7200 | 3.7800 | 4.1068 | 0.1000 | 0.0000 | 0.7654 | 0.6900 | 3.7715 | 4.1068 | 0.1100 | 0.0000 | 0.7867 | 0.6944 | 3.7735 | 4.1068 | 0.1204 | 0.0000 | 0.7929 |
| validation | 0.6741 | 0.2708 | 0.1338 | 0.0420 | 111.0000 | 0.0832 | 130.0000 | 0.1000 | 2.7361 | 3.7864 | 0.0000 | 0.0000 | -0.6325 | 0.2400 | 2.9947 | 3.9631 | 0.1600 | 0.0000 | -0.3109 | 0.2400 | 3.1512 | 3.9631 | 0.2000 | 0.0000 | -0.0669 | 0.0000 | 2.6689 | 3.6916 | 0.0000 | 0.0000 | -0.7055 |
| test | 0.4520 | 0.1776 | 0.1656 | 0.0275 | 135.0000 | 0.0487 | 804.0000 | 0.1000 | 1.6502 | 3.7442 | 0.0000 | 0.0000 | -3.0463 | 0.2400 | 2.9325 | 3.9222 | 0.1000 | 0.0000 | -0.8698 | 0.2100 | 3.1899 | 3.9222 | 0.1700 | 0.0000 | -0.3633 | 0.0000 | 1.3991 | 1.6390 | 0.0000 | 0.0000 | -3.4487 |
Loss per epoch
training
validation
Config
name: reference_avgfp_cnn_modulof2
task: dms
data:
dataset: avgfp
encoding: one_hot,aa_index
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