avgfp · Sequence CNN
reference_avgfp_cnn_contiguousf3_20261104-161710
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 | 0.4935 | 0.7474 | 0.7414 | 0.5242 | 805.0000 | 0.0880 | 1520.0000 | 0.0000 | 3.6040 | 3.7068 | 0.0000 | 0.6456 | 0.1800 | 3.6196 | 3.8171 | 0.0000 | 0.7046 | 0.2200 | 3.6078 | 3.9550 | 0.0100 | 0.7208 | 0.2381 | 3.6262 | 3.9550 | 0.0119 | 0.7302 | ||||
| validation | 0.4335 | -0.3254 | -0.2844 | -0.0584 | 156.0000 | -0.1258 | 261.0000 | 0.1000 | 2.9700 | 3.7312 | 0.0000 | 0.0000 | -0.8795 | 0.0800 | 2.7211 | 3.8139 | 0.0200 | 0.0000 | -1.5726 | 0.0800 | 2.8687 | 3.8139 | 0.0500 | 0.0000 | -1.3303 | 0.1250 | 2.8679 | 3.7312 | 0.0000 | 0.0000 | -1.0726 |
| test | 0.2433 | -0.1312 | -0.0533 | -0.0277 | 366.0000 | 0.1091 | 1259.0000 | 0.2000 | 3.1924 | 3.8285 | 0.0000 | 0.0000 | -0.6339 | 0.1800 | 3.2068 | 3.8863 | 0.0200 | 0.0000 | -0.7928 | 0.2100 | 3.3271 | 4.0378 | 0.0900 | 0.0000 | -0.5598 | 0.3077 | 3.3100 | 3.8285 | 0.0000 | 0.0000 | -0.4256 |
Loss per epoch
training
validation
Config
name: reference_avgfp_cnn_contiguousf3
task: dms
data:
dataset: avgfp
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
split_fold: 3
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