Graph Convolutional Network#
Description#
In this notebook we show an implementation of the Graph Convolutional Network (GCN) for the classification of molecules as mutagenic or non-mutagenic with the MUTAG dataset.
Here we simply define a basic model with several GCN layers of varying shape, and we will find the best hyperparameters.
We will try several variants of :
Activation functions
Pooling layers
Learning rates
Normalization layers
Weighting the loss to compensate for class imbalance
Training#
Dataset loading#
Show code cell source
from sys import path
import warnings
from os import environ
environ["WANDB_NOTEBOOK_NAME"] = "GCN.ipynb" # set notebook name for wandb
warnings.filterwarnings(
"ignore"
) # ignore warnings from missing deterministic implementation (from wandb, not model itself)
path.append("../code")
Show code cell source
%load_ext autoreload
%autoreload 2
Show code cell source
import torch
from torch import nn
import numpy as np
import seaborn as sns
import model as m
import training as t
import utils
import logging
import sys
from utils import LOG as logger
logging.basicConfig(
format="%(message)s", level=logging.INFO, stream=sys.stdout
)
logger.setLevel(logging.INFO)
# logger.setLevel(logging.DEBUG)
t.WANDB_MODE = "disabled"
DEVICE = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
dataloaders, dataset = t.create_dataloaders(
batch_size=20,
)
Length of train set: 131
Length of validation set: 28
Length of test set: 29
Model#
Let’s initialize the model with our chosen architecture !
node_features = dataset.node_features.shape[2]
conv_dims = [256, 256, 128, 64]
model = m.GCN(
num_features=node_features,
conv_dims=conv_dims,
# fcn_layers=[128],
activation=nn.SELU(),
dropout=0.2,
pooling="max",
norm=nn.BatchNorm1d,
)
# utils._print_gradient_hook(model)
print(model)
Initialized model with 4 graph conv layers
Initialized model with 1 fully connected layers
GCN(
(convs_layers): ModuleList(
(0): GraphConv(
(weight): Linear(in_features=7, out_features=256, bias=False)
(bias): Linear(in_features=7, out_features=256, bias=False)
(activation): SELU()
)
(1): GraphConv(
(weight): Linear(in_features=256, out_features=256, bias=False)
(bias): Linear(in_features=256, out_features=256, bias=False)
(activation): SELU()
)
(2): GraphConv(
(weight): Linear(in_features=256, out_features=128, bias=False)
(bias): Linear(in_features=256, out_features=128, bias=False)
(activation): SELU()
)
(3): GraphConv(
(weight): Linear(in_features=128, out_features=64, bias=False)
(bias): Linear(in_features=128, out_features=64, bias=False)
(activation): Identity()
)
)
(batch_norms): ModuleList(
(0-1): 2 x BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(3): Identity()
)
(fcn_layers): ModuleList(
(0): Linear(in_features=64, out_features=1, bias=True)
)
(dropout): Dropout(p=0.2, inplace=False)
(pooling): MaxPooling()
)
Parameters#
Now we create the loss function and the optimizer. We will use the Binary Cross Entropy with the built-in sigmoid for stability, and use Adam as the optimizer.
learning_rate = 1e-3
epochs = 1000
model.to(DEVICE)
label_counts = dataset.class_y.unique(return_counts=True)[1]
pos_weight = label_counts[0] / label_counts[1]
loss_fn = nn.BCEWithLogitsLoss(
# pos_weight=torch.tensor(pos_weight) # NOTE : due to an issue with reproducibility, this is not used here, in order to obtain the selected best run.
# It is however used for the other models.
)
optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)
history = {
"epoch": 0,
"loss": [],
"acc": [],
"val-roc": [],
"val-ap": [],
}
Training loop#
Here we train the model.
history = t.train_loop(
history=history,
train_dataloader=dataloaders[0],
val_dataloader=dataloaders[1],
model=model,
optimizer=optimizer,
loss_fn=loss_fn,
epochs=epochs,
device=DEVICE,
use_scheduler=False,
test_dataloader=dataloaders[2],
)
Watching
Epoch 1/1000:Epoch loss: 0.7356 - avg acc: 30.5% - val-roc: 0.7041 - val-ap: 0.6378 (0.7s/epoch)
Epoch 2/1000:Epoch loss: 0.6209 - avg acc: 32.1% - val-roc: 0.8622 - val-ap: 0.9041 (0.1s/epoch)
Epoch 3/1000:Epoch loss: 0.5704 - avg acc: 33.6% - val-roc: 0.8265 - val-ap: 0.8750 (0.1s/epoch)
Epoch 4/1000:Epoch loss: 0.5038 - avg acc: 32.8% - val-roc: 0.7908 - val-ap: 0.8544 (0.1s/epoch)
Epoch 5/1000:Epoch loss: 0.5551 - avg acc: 51.1% - val-roc: 0.7755 - val-ap: 0.8435 (0.1s/epoch)
Epoch 6/1000:Epoch loss: 0.5733 - avg acc: 32.8% - val-roc: 0.7194 - val-ap: 0.7249 (0.1s/epoch)
Epoch 7/1000:Epoch loss: 0.5114 - avg acc: 32.8% - val-roc: 0.7245 - val-ap: 0.6958 (0.1s/epoch)
Epoch 8/1000:Epoch loss: 0.4970 - avg acc: 31.3% - val-roc: 0.7347 - val-ap: 0.7392 (0.1s/epoch)
Epoch 9/1000:Epoch loss: 0.4883 - avg acc: 31.3% - val-roc: 0.6173 - val-ap: 0.5557 (0.1s/epoch)
Epoch 10/1000:Epoch loss: 0.5239 - avg acc: 32.8% - val-roc: 0.6122 - val-ap: 0.5539 (0.2s/epoch)
Epoch 11/1000:Epoch loss: 0.4593 - avg acc: 31.3% - val-roc: 0.6020 - val-ap: 0.5393 (0.1s/epoch)
Epoch 12/1000:Epoch loss: 0.4926 - avg acc: 35.9% - val-roc: 0.6020 - val-ap: 0.5440 (0.1s/epoch)
Epoch 13/1000:Epoch loss: 0.5245 - avg acc: 31.3% - val-roc: 0.5969 - val-ap: 0.5410 (0.1s/epoch)
Epoch 14/1000:Epoch loss: 0.4493 - avg acc: 35.9% - val-roc: 0.6786 - val-ap: 0.6279 (0.1s/epoch)
Epoch 15/1000:Epoch loss: 0.4713 - avg acc: 32.1% - val-roc: 0.6582 - val-ap: 0.6108 (0.1s/epoch)
Epoch 16/1000:Epoch loss: 0.5769 - avg acc: 32.1% - val-roc: 0.6224 - val-ap: 0.5731 (0.1s/epoch)
Epoch 17/1000:Epoch loss: 0.4769 - avg acc: 32.1% - val-roc: 0.5918 - val-ap: 0.5403 (0.1s/epoch)
Epoch 18/1000:Epoch loss: 0.5488 - avg acc: 33.6% - val-roc: 0.5867 - val-ap: 0.5387 (0.1s/epoch)
Epoch 19/1000:Epoch loss: 0.5141 - avg acc: 34.4% - val-roc: 0.5663 - val-ap: 0.5260 (0.1s/epoch)
Epoch 20/1000:Epoch loss: 0.4777 - avg acc: 32.1% - val-roc: 0.5969 - val-ap: 0.5395 (0.1s/epoch)
Epoch 21/1000:Epoch loss: 0.4603 - avg acc: 32.1% - val-roc: 0.6633 - val-ap: 0.6126 (0.1s/epoch)
Epoch 22/1000:Epoch loss: 0.5492 - avg acc: 32.1% - val-roc: 0.6480 - val-ap: 0.5947 (0.1s/epoch)
Epoch 23/1000:Epoch loss: 0.4805 - avg acc: 32.1% - val-roc: 0.6735 - val-ap: 0.6584 (0.1s/epoch)
Epoch 24/1000:Epoch loss: 0.4581 - avg acc: 32.1% - val-roc: 0.6684 - val-ap: 0.6511 (0.1s/epoch)
Epoch 25/1000:Epoch loss: 0.4338 - avg acc: 32.1% - val-roc: 0.6122 - val-ap: 0.5571 (0.1s/epoch)
Epoch 26/1000:Epoch loss: 0.4508 - avg acc: 32.1% - val-roc: 0.5765 - val-ap: 0.5230 (0.1s/epoch)
Epoch 27/1000:Epoch loss: 0.4543 - avg acc: 32.8% - val-roc: 0.5663 - val-ap: 0.5166 (0.1s/epoch)
Epoch 28/1000:Epoch loss: 0.4818 - avg acc: 32.8% - val-roc: 0.5816 - val-ap: 0.5301 (0.1s/epoch)
Epoch 29/1000:Epoch loss: 0.4509 - avg acc: 32.1% - val-roc: 0.5561 - val-ap: 0.5092 (0.1s/epoch)
Epoch 30/1000:Epoch loss: 0.4342 - avg acc: 32.1% - val-roc: 0.5357 - val-ap: 0.4924 (0.1s/epoch)
Epoch 31/1000:Epoch loss: 0.4419 - avg acc: 32.1% - val-roc: 0.5459 - val-ap: 0.5048 (0.1s/epoch)
Epoch 32/1000:Epoch loss: 0.4680 - avg acc: 32.1% - val-roc: 0.5357 - val-ap: 0.5002 (0.1s/epoch)
Epoch 33/1000:Epoch loss: 0.4572 - avg acc: 32.1% - val-roc: 0.5459 - val-ap: 0.5067 (0.1s/epoch)
Epoch 34/1000:Epoch loss: 0.5066 - avg acc: 34.4% - val-roc: 0.5816 - val-ap: 0.5333 (0.1s/epoch)
Epoch 35/1000:Epoch loss: 0.4705 - avg acc: 32.1% - val-roc: 0.5867 - val-ap: 0.5370 (0.1s/epoch)
Epoch 36/1000:Epoch loss: 0.4131 - avg acc: 32.8% - val-roc: 0.5918 - val-ap: 0.5388 (0.2s/epoch)
Epoch 37/1000:Epoch loss: 0.4507 - avg acc: 32.8% - val-roc: 0.5918 - val-ap: 0.5388 (0.1s/epoch)
Epoch 38/1000:Epoch loss: 0.4160 - avg acc: 33.6% - val-roc: 0.5969 - val-ap: 0.5355 (0.1s/epoch)
Epoch 39/1000:Epoch loss: 0.5063 - avg acc: 33.6% - val-roc: 0.5918 - val-ap: 0.5370 (0.1s/epoch)
Epoch 40/1000:Epoch loss: 0.4590 - avg acc: 32.1% - val-roc: 0.5714 - val-ap: 0.5252 (0.1s/epoch)
Epoch 41/1000:Epoch loss: 0.4190 - avg acc: 33.6% - val-roc: 0.5867 - val-ap: 0.5301 (0.1s/epoch)
Epoch 42/1000:Epoch loss: 0.4441 - avg acc: 32.1% - val-roc: 0.5561 - val-ap: 0.5064 (0.1s/epoch)
Epoch 43/1000:Epoch loss: 0.4563 - avg acc: 32.8% - val-roc: 0.5969 - val-ap: 0.5372 (0.1s/epoch)
Epoch 44/1000:Epoch loss: 0.4446 - avg acc: 33.6% - val-roc: 0.6071 - val-ap: 0.5446 (0.1s/epoch)
Epoch 45/1000:Epoch loss: 0.4323 - avg acc: 35.1% - val-roc: 0.6071 - val-ap: 0.5427 (0.1s/epoch)
Epoch 46/1000:Epoch loss: 0.4420 - avg acc: 33.6% - val-roc: 0.5969 - val-ap: 0.5377 (0.1s/epoch)
Epoch 47/1000:Epoch loss: 0.4402 - avg acc: 33.6% - val-roc: 0.5969 - val-ap: 0.5387 (0.1s/epoch)
Epoch 48/1000:Epoch loss: 0.4742 - avg acc: 33.6% - val-roc: 0.5918 - val-ap: 0.5350 (0.1s/epoch)
Epoch 49/1000:Epoch loss: 0.4813 - avg acc: 33.6% - val-roc: 0.5816 - val-ap: 0.5282 (0.1s/epoch)
Epoch 50/1000:Epoch loss: 0.3936 - avg acc: 34.4% - val-roc: 0.5765 - val-ap: 0.5251 (0.1s/epoch)
Epoch 51/1000:Epoch loss: 0.4181 - avg acc: 32.8% - val-roc: 0.5765 - val-ap: 0.5262 (0.1s/epoch)
Epoch 52/1000:Epoch loss: 0.4241 - avg acc: 32.1% - val-roc: 0.5510 - val-ap: 0.5074 (0.1s/epoch)
Epoch 53/1000:Epoch loss: 0.4043 - avg acc: 35.1% - val-roc: 0.5663 - val-ap: 0.5202 (0.1s/epoch)
Epoch 54/1000:Epoch loss: 0.4405 - avg acc: 33.6% - val-roc: 0.5459 - val-ap: 0.5042 (0.1s/epoch)
Epoch 55/1000:Epoch loss: 0.4304 - avg acc: 35.1% - val-roc: 0.5714 - val-ap: 0.5219 (0.1s/epoch)
Epoch 56/1000:Epoch loss: 0.4289 - avg acc: 35.9% - val-roc: 0.5510 - val-ap: 0.5078 (0.1s/epoch)
Epoch 57/1000:Epoch loss: 0.4475 - avg acc: 33.6% - val-roc: 0.5459 - val-ap: 0.5005 (0.1s/epoch)
Epoch 58/1000:Epoch loss: 0.4136 - avg acc: 35.9% - val-roc: 0.5816 - val-ap: 0.5258 (0.1s/epoch)
Epoch 59/1000:Epoch loss: 0.4150 - avg acc: 34.4% - val-roc: 0.5816 - val-ap: 0.5262 (0.1s/epoch)
Epoch 60/1000:Epoch loss: 0.4680 - avg acc: 35.1% - val-roc: 0.5306 - val-ap: 0.4933 (0.1s/epoch)
Epoch 61/1000:Epoch loss: 0.4149 - avg acc: 33.6% - val-roc: 0.5204 - val-ap: 0.4876 (0.1s/epoch)
Epoch 62/1000:Epoch loss: 0.4185 - avg acc: 36.6% - val-roc: 0.5204 - val-ap: 0.4871 (0.1s/epoch)
Epoch 63/1000:Epoch loss: 0.4150 - avg acc: 34.4% - val-roc: 0.5153 - val-ap: 0.4856 (0.1s/epoch)
Epoch 64/1000:Epoch loss: 0.5277 - avg acc: 35.9% - val-roc: 0.5153 - val-ap: 0.4856 (0.1s/epoch)
Epoch 65/1000:Epoch loss: 0.4291 - avg acc: 35.1% - val-roc: 0.5204 - val-ap: 0.4876 (0.1s/epoch)
Epoch 66/1000:Epoch loss: 0.3790 - avg acc: 35.9% - val-roc: 0.5204 - val-ap: 0.4876 (0.2s/epoch)
Epoch 67/1000:Epoch loss: 0.4086 - avg acc: 35.1% - val-roc: 0.5204 - val-ap: 0.4843 (0.1s/epoch)
Epoch 68/1000:Epoch loss: 0.4300 - avg acc: 35.1% - val-roc: 0.5204 - val-ap: 0.4876 (0.4s/epoch)
Epoch 69/1000:Epoch loss: 0.4335 - avg acc: 35.1% - val-roc: 0.5102 - val-ap: 0.4805 (0.2s/epoch)
Epoch 70/1000:Epoch loss: 0.3881 - avg acc: 35.1% - val-roc: 0.5102 - val-ap: 0.4836 (0.3s/epoch)
Epoch 71/1000:Epoch loss: 0.4211 - avg acc: 35.1% - val-roc: 0.5102 - val-ap: 0.4836 (0.1s/epoch)
Epoch 72/1000:Epoch loss: 0.4158 - avg acc: 35.1% - val-roc: 0.5000 - val-ap: 0.4758 (0.1s/epoch)
Epoch 73/1000:Epoch loss: 0.4101 - avg acc: 35.1% - val-roc: 0.5102 - val-ap: 0.4833 (0.1s/epoch)
Epoch 74/1000:Epoch loss: 0.3905 - avg acc: 35.1% - val-roc: 0.5204 - val-ap: 0.4843 (0.1s/epoch)
Epoch 75/1000:Epoch loss: 0.3914 - avg acc: 35.9% - val-roc: 0.5204 - val-ap: 0.4867 (0.1s/epoch)
Epoch 76/1000:Epoch loss: 0.4357 - avg acc: 35.9% - val-roc: 0.5204 - val-ap: 0.4843 (0.2s/epoch)
Epoch 77/1000:Epoch loss: 0.4343 - avg acc: 35.1% - val-roc: 0.5153 - val-ap: 0.4847 (0.1s/epoch)
Epoch 78/1000:Epoch loss: 0.5099 - avg acc: 35.9% - val-roc: 0.5153 - val-ap: 0.4847 (0.1s/epoch)
Epoch 79/1000:Epoch loss: 0.5545 - avg acc: 35.9% - val-roc: 0.5306 - val-ap: 0.4919 (0.1s/epoch)
Epoch 80/1000:Epoch loss: 0.4086 - avg acc: 34.4% - val-roc: 0.5816 - val-ap: 0.5258 (0.1s/epoch)
Epoch 81/1000:Epoch loss: 0.4394 - avg acc: 35.9% - val-roc: 0.6582 - val-ap: 0.5933 (0.1s/epoch)
Epoch 82/1000:Epoch loss: 0.4079 - avg acc: 33.6% - val-roc: 0.6480 - val-ap: 0.6009 (0.1s/epoch)
Epoch 83/1000:Epoch loss: 0.4160 - avg acc: 37.4% - val-roc: 0.6633 - val-ap: 0.6073 (0.1s/epoch)
Epoch 84/1000:Epoch loss: 0.4539 - avg acc: 34.4% - val-roc: 0.6378 - val-ap: 0.5804 (0.1s/epoch)
Epoch 85/1000:Epoch loss: 0.4056 - avg acc: 35.1% - val-roc: 0.6276 - val-ap: 0.5636 (0.1s/epoch)
Epoch 86/1000:Epoch loss: 0.4438 - avg acc: 34.4% - val-roc: 0.6173 - val-ap: 0.5583 (0.1s/epoch)
Epoch 87/1000:Epoch loss: 0.3839 - avg acc: 35.1% - val-roc: 0.5918 - val-ap: 0.5395 (0.1s/epoch)
Epoch 88/1000:Epoch loss: 0.3994 - avg acc: 35.1% - val-roc: 0.5102 - val-ap: 0.4824 (0.1s/epoch)
Epoch 89/1000:Epoch loss: 0.4346 - avg acc: 36.6% - val-roc: 0.5255 - val-ap: 0.4920 (0.1s/epoch)
Epoch 90/1000:Epoch loss: 0.4373 - avg acc: 35.9% - val-roc: 0.6020 - val-ap: 0.5436 (0.1s/epoch)
Epoch 91/1000:Epoch loss: 0.4715 - avg acc: 35.9% - val-roc: 0.6327 - val-ap: 0.5638 (0.1s/epoch)
Epoch 92/1000:Epoch loss: 0.4594 - avg acc: 35.1% - val-roc: 0.6327 - val-ap: 0.5648 (0.1s/epoch)
Epoch 93/1000:Epoch loss: 0.4508 - avg acc: 34.4% - val-roc: 0.6224 - val-ap: 0.5582 (0.1s/epoch)
Epoch 94/1000:Epoch loss: 0.3507 - avg acc: 36.6% - val-roc: 0.5969 - val-ap: 0.5397 (0.2s/epoch)
Epoch 95/1000:Epoch loss: 0.4254 - avg acc: 33.6% - val-roc: 0.5306 - val-ap: 0.4908 (0.1s/epoch)
Epoch 96/1000:Epoch loss: 0.4024 - avg acc: 35.9% - val-roc: 0.5714 - val-ap: 0.5179 (0.1s/epoch)
Epoch 97/1000:Epoch loss: 0.3747 - avg acc: 34.4% - val-roc: 0.5051 - val-ap: 0.4779 (0.1s/epoch)
Epoch 98/1000:Epoch loss: 0.4240 - avg acc: 37.4% - val-roc: 0.5510 - val-ap: 0.5084 (0.2s/epoch)
Epoch 99/1000:Epoch loss: 0.4507 - avg acc: 35.1% - val-roc: 0.5510 - val-ap: 0.5084 (0.1s/epoch)
Epoch 100/1000:Epoch loss: 0.3873 - avg acc: 58.0% - val-roc: 0.6276 - val-ap: 0.5649 (0.1s/epoch)
Epoch 101/1000:Epoch loss: 0.4196 - avg acc: 34.4% - val-roc: 0.5255 - val-ap: 0.4916 (0.1s/epoch)
Epoch 102/1000:Epoch loss: 0.4220 - avg acc: 37.4% - val-roc: 0.6173 - val-ap: 0.5587 (0.1s/epoch)
Epoch 103/1000:Epoch loss: 0.4253 - avg acc: 35.1% - val-roc: 0.6173 - val-ap: 0.5609 (0.1s/epoch)
Epoch 104/1000:Epoch loss: 0.3950 - avg acc: 35.1% - val-roc: 0.6122 - val-ap: 0.5618 (0.1s/epoch)
Epoch 105/1000:Epoch loss: 0.3771 - avg acc: 35.1% - val-roc: 0.6122 - val-ap: 0.5596 (0.1s/epoch)
Epoch 106/1000:Epoch loss: 0.4158 - avg acc: 35.1% - val-roc: 0.6071 - val-ap: 0.5403 (0.1s/epoch)
Epoch 107/1000:Epoch loss: 0.4003 - avg acc: 35.9% - val-roc: 0.6020 - val-ap: 0.5380 (0.1s/epoch)
Epoch 108/1000:Epoch loss: 0.3499 - avg acc: 35.1% - val-roc: 0.5969 - val-ap: 0.5363 (0.1s/epoch)
Epoch 109/1000:Epoch loss: 0.3699 - avg acc: 40.5% - val-roc: 0.6327 - val-ap: 0.5692 (0.1s/epoch)
Epoch 110/1000:Epoch loss: 0.3636 - avg acc: 35.1% - val-roc: 0.5969 - val-ap: 0.5442 (0.1s/epoch)
Epoch 111/1000:Epoch loss: 0.4005 - avg acc: 38.2% - val-roc: 0.5765 - val-ap: 0.5276 (0.1s/epoch)
Epoch 112/1000:Epoch loss: 0.3716 - avg acc: 38.9% - val-roc: 0.5459 - val-ap: 0.5085 (0.1s/epoch)
Epoch 113/1000:Epoch loss: 0.4202 - avg acc: 38.9% - val-roc: 0.5357 - val-ap: 0.5016 (0.1s/epoch)
Epoch 114/1000:Epoch loss: 0.3606 - avg acc: 38.9% - val-roc: 0.5204 - val-ap: 0.4945 (0.1s/epoch)
Epoch 115/1000:Epoch loss: 0.3709 - avg acc: 35.9% - val-roc: 0.5102 - val-ap: 0.4871 (0.1s/epoch)
Epoch 116/1000:Epoch loss: 0.3882 - avg acc: 38.2% - val-roc: 0.5561 - val-ap: 0.5213 (0.1s/epoch)
Epoch 117/1000:Epoch loss: 0.3875 - avg acc: 36.6% - val-roc: 0.6378 - val-ap: 0.5926 (0.1s/epoch)
Epoch 118/1000:Epoch loss: 0.3758 - avg acc: 36.6% - val-roc: 0.6378 - val-ap: 0.5948 (0.1s/epoch)
Epoch 119/1000:Epoch loss: 0.3911 - avg acc: 35.9% - val-roc: 0.5561 - val-ap: 0.5076 (0.1s/epoch)
Epoch 120/1000:Epoch loss: 0.3906 - avg acc: 35.9% - val-roc: 0.5459 - val-ap: 0.5041 (0.1s/epoch)
Epoch 121/1000:Epoch loss: 0.3794 - avg acc: 39.7% - val-roc: 0.5408 - val-ap: 0.5006 (0.1s/epoch)
Epoch 122/1000:Epoch loss: 0.3738 - avg acc: 35.1% - val-roc: 0.5357 - val-ap: 0.4993 (0.1s/epoch)
Epoch 123/1000:Epoch loss: 0.4236 - avg acc: 38.2% - val-roc: 0.5612 - val-ap: 0.5128 (0.1s/epoch)
Epoch 124/1000:Epoch loss: 0.4006 - avg acc: 35.9% - val-roc: 0.5561 - val-ap: 0.5139 (0.1s/epoch)
Epoch 125/1000:Epoch loss: 0.4464 - avg acc: 39.7% - val-roc: 0.5765 - val-ap: 0.5276 (0.1s/epoch)
Epoch 126/1000:Epoch loss: 0.3990 - avg acc: 34.4% - val-roc: 0.5816 - val-ap: 0.5311 (0.1s/epoch)
Epoch 127/1000:Epoch loss: 0.3983 - avg acc: 39.7% - val-roc: 0.5918 - val-ap: 0.5361 (0.1s/epoch)
Epoch 128/1000:Epoch loss: 0.3749 - avg acc: 37.4% - val-roc: 0.6122 - val-ap: 0.5514 (0.1s/epoch)
Epoch 129/1000:Epoch loss: 0.3866 - avg acc: 36.6% - val-roc: 0.5765 - val-ap: 0.5304 (0.1s/epoch)
Epoch 130/1000:Epoch loss: 0.4007 - avg acc: 39.7% - val-roc: 0.5408 - val-ap: 0.5099 (0.1s/epoch)
Epoch 131/1000:Epoch loss: 0.3650 - avg acc: 36.6% - val-roc: 0.5255 - val-ap: 0.4964 (0.1s/epoch)
Epoch 132/1000:Epoch loss: 0.3759 - avg acc: 37.4% - val-roc: 0.5612 - val-ap: 0.5168 (0.1s/epoch)
Epoch 133/1000:Epoch loss: 0.3694 - avg acc: 40.5% - val-roc: 0.5561 - val-ap: 0.5146 (0.1s/epoch)
Epoch 134/1000:Epoch loss: 0.3571 - avg acc: 39.7% - val-roc: 0.5561 - val-ap: 0.5113 (0.1s/epoch)
Epoch 135/1000:Epoch loss: 0.4256 - avg acc: 37.4% - val-roc: 0.5969 - val-ap: 0.5347 (0.1s/epoch)
Epoch 136/1000:Epoch loss: 0.3580 - avg acc: 38.9% - val-roc: 0.6020 - val-ap: 0.5390 (0.1s/epoch)
Epoch 137/1000:Epoch loss: 0.3653 - avg acc: 40.5% - val-roc: 0.5918 - val-ap: 0.5405 (0.1s/epoch)
Epoch 138/1000:Epoch loss: 0.3973 - avg acc: 36.6% - val-roc: 0.5663 - val-ap: 0.5176 (0.1s/epoch)
Epoch 139/1000:Epoch loss: 0.3670 - avg acc: 38.9% - val-roc: 0.5612 - val-ap: 0.5143 (0.1s/epoch)
Epoch 140/1000:Epoch loss: 0.3255 - avg acc: 37.4% - val-roc: 0.5408 - val-ap: 0.5044 (0.1s/epoch)
Epoch 141/1000:Epoch loss: 0.3705 - avg acc: 38.9% - val-roc: 0.5408 - val-ap: 0.4994 (0.1s/epoch)
Epoch 142/1000:Epoch loss: 0.4282 - avg acc: 39.7% - val-roc: 0.5714 - val-ap: 0.5205 (0.1s/epoch)
Epoch 143/1000:Epoch loss: 0.3661 - avg acc: 36.6% - val-roc: 0.5765 - val-ap: 0.5220 (0.1s/epoch)
Epoch 144/1000:Epoch loss: 0.3984 - avg acc: 36.6% - val-roc: 0.5510 - val-ap: 0.5132 (0.1s/epoch)
Epoch 145/1000:Epoch loss: 0.3734 - avg acc: 37.4% - val-roc: 0.5561 - val-ap: 0.5109 (0.1s/epoch)
Epoch 146/1000:Epoch loss: 0.3716 - avg acc: 39.7% - val-roc: 0.5408 - val-ap: 0.5039 (0.1s/epoch)
Epoch 147/1000:Epoch loss: 0.3641 - avg acc: 35.1% - val-roc: 0.5459 - val-ap: 0.5055 (0.1s/epoch)
Epoch 148/1000:Epoch loss: 0.3703 - avg acc: 35.9% - val-roc: 0.5561 - val-ap: 0.5115 (0.1s/epoch)
Epoch 149/1000:Epoch loss: 0.3511 - avg acc: 35.9% - val-roc: 0.5561 - val-ap: 0.5113 (0.1s/epoch)
Epoch 150/1000:Epoch loss: 0.3343 - avg acc: 38.9% - val-roc: 0.5765 - val-ap: 0.5298 (0.1s/epoch)
Epoch 151/1000:Epoch loss: 0.3677 - avg acc: 35.9% - val-roc: 0.5816 - val-ap: 0.5332 (0.1s/epoch)
Epoch 152/1000:Epoch loss: 0.3494 - avg acc: 35.9% - val-roc: 0.6173 - val-ap: 0.5638 (0.1s/epoch)
Epoch 153/1000:Epoch loss: 0.3763 - avg acc: 55.7% - val-roc: 0.6071 - val-ap: 0.5593 (0.1s/epoch)
Epoch 154/1000:Epoch loss: 0.4055 - avg acc: 39.7% - val-roc: 0.6020 - val-ap: 0.5507 (0.1s/epoch)
Epoch 155/1000:Epoch loss: 0.3791 - avg acc: 39.7% - val-roc: 0.5663 - val-ap: 0.5243 (0.1s/epoch)
Epoch 156/1000:Epoch loss: 0.3621 - avg acc: 39.7% - val-roc: 0.5204 - val-ap: 0.4967 (0.1s/epoch)
Epoch 157/1000:Epoch loss: 0.3379 - avg acc: 39.7% - val-roc: 0.5255 - val-ap: 0.4984 (0.1s/epoch)
Epoch 158/1000:Epoch loss: 0.3602 - avg acc: 40.5% - val-roc: 0.5612 - val-ap: 0.5168 (0.2s/epoch)
Epoch 159/1000:Epoch loss: 0.3240 - avg acc: 41.2% - val-roc: 0.5306 - val-ap: 0.5009 (0.1s/epoch)
Epoch 160/1000:Epoch loss: 0.3260 - avg acc: 40.5% - val-roc: 0.5510 - val-ap: 0.5100 (0.1s/epoch)
Epoch 161/1000:Epoch loss: 0.3772 - avg acc: 39.7% - val-roc: 0.5612 - val-ap: 0.5155 (0.1s/epoch)
Epoch 162/1000:Epoch loss: 0.3520 - avg acc: 40.5% - val-roc: 0.5612 - val-ap: 0.5161 (0.1s/epoch)
Epoch 163/1000:Epoch loss: 0.3409 - avg acc: 41.2% - val-roc: 0.5357 - val-ap: 0.5066 (0.1s/epoch)
Epoch 164/1000:Epoch loss: 0.4023 - avg acc: 36.6% - val-roc: 0.5459 - val-ap: 0.5207 (0.1s/epoch)
Epoch 165/1000:Epoch loss: 0.4035 - avg acc: 61.1% - val-roc: 0.6224 - val-ap: 0.5906 (0.1s/epoch)
Epoch 166/1000:Epoch loss: 0.3114 - avg acc: 41.2% - val-roc: 0.6531 - val-ap: 0.6251 (0.1s/epoch)
Epoch 167/1000:Epoch loss: 0.3231 - avg acc: 41.2% - val-roc: 0.6735 - val-ap: 0.6532 (0.1s/epoch)
Epoch 168/1000:Epoch loss: 0.3611 - avg acc: 38.9% - val-roc: 0.6684 - val-ap: 0.6532 (0.1s/epoch)
Epoch 169/1000:Epoch loss: 0.3970 - avg acc: 46.6% - val-roc: 0.6276 - val-ap: 0.6037 (0.1s/epoch)
Epoch 170/1000:Epoch loss: 0.3550 - avg acc: 41.2% - val-roc: 0.5612 - val-ap: 0.5590 (0.1s/epoch)
Epoch 171/1000:Epoch loss: 0.3617 - avg acc: 39.7% - val-roc: 0.5357 - val-ap: 0.5376 (0.1s/epoch)
Epoch 172/1000:Epoch loss: 0.3232 - avg acc: 57.3% - val-roc: 0.5663 - val-ap: 0.5566 (0.1s/epoch)
Epoch 173/1000:Epoch loss: 0.4046 - avg acc: 39.7% - val-roc: 0.5867 - val-ap: 0.5716 (0.1s/epoch)
Epoch 174/1000:Epoch loss: 0.3509 - avg acc: 57.3% - val-roc: 0.5765 - val-ap: 0.5414 (0.1s/epoch)
Epoch 175/1000:Epoch loss: 0.3550 - avg acc: 58.0% - val-roc: 0.5510 - val-ap: 0.5179 (0.1s/epoch)
Epoch 176/1000:Epoch loss: 0.3521 - avg acc: 41.2% - val-roc: 0.5255 - val-ap: 0.4972 (0.1s/epoch)
Epoch 177/1000:Epoch loss: 0.3414 - avg acc: 42.7% - val-roc: 0.4949 - val-ap: 0.4914 (0.2s/epoch)
Epoch 178/1000:Epoch loss: 0.3667 - avg acc: 43.5% - val-roc: 0.5051 - val-ap: 0.4947 (0.1s/epoch)
Epoch 179/1000:Epoch loss: 0.3730 - avg acc: 42.0% - val-roc: 0.5510 - val-ap: 0.5117 (0.1s/epoch)
Epoch 180/1000:Epoch loss: 0.3581 - avg acc: 61.1% - val-roc: 0.5765 - val-ap: 0.5314 (0.1s/epoch)
Epoch 181/1000:Epoch loss: 0.3296 - avg acc: 40.5% - val-roc: 0.5663 - val-ap: 0.5238 (0.1s/epoch)
Epoch 182/1000:Epoch loss: 0.3580 - avg acc: 62.6% - val-roc: 0.5969 - val-ap: 0.5501 (0.1s/epoch)
Epoch 183/1000:Epoch loss: 0.3437 - avg acc: 42.0% - val-roc: 0.5969 - val-ap: 0.5483 (0.1s/epoch)
Epoch 184/1000:Epoch loss: 0.3672 - avg acc: 42.0% - val-roc: 0.5816 - val-ap: 0.5431 (0.1s/epoch)
Epoch 185/1000:Epoch loss: 0.3663 - avg acc: 61.1% - val-roc: 0.6173 - val-ap: 0.5627 (0.1s/epoch)
Epoch 186/1000:Epoch loss: 0.3081 - avg acc: 51.9% - val-roc: 0.6429 - val-ap: 0.6012 (0.1s/epoch)
Epoch 187/1000:Epoch loss: 0.3182 - avg acc: 62.6% - val-roc: 0.6429 - val-ap: 0.6021 (0.1s/epoch)
Epoch 188/1000:Epoch loss: 0.3435 - avg acc: 62.6% - val-roc: 0.6429 - val-ap: 0.6194 (0.1s/epoch)
Epoch 189/1000:Epoch loss: 0.3083 - avg acc: 51.1% - val-roc: 0.6276 - val-ap: 0.5975 (0.1s/epoch)
Epoch 190/1000:Epoch loss: 0.3653 - avg acc: 50.4% - val-roc: 0.6480 - val-ap: 0.6074 (0.1s/epoch)
Epoch 191/1000:Epoch loss: 0.3636 - avg acc: 46.6% - val-roc: 0.6480 - val-ap: 0.6089 (0.1s/epoch)
Epoch 192/1000:Epoch loss: 0.3579 - avg acc: 68.7% - val-roc: 0.6327 - val-ap: 0.5995 (0.1s/epoch)
Epoch 193/1000:Epoch loss: 0.3545 - avg acc: 45.0% - val-roc: 0.6378 - val-ap: 0.5778 (0.1s/epoch)
Epoch 194/1000:Epoch loss: 0.3164 - avg acc: 64.1% - val-roc: 0.6327 - val-ap: 0.5740 (0.1s/epoch)
Epoch 195/1000:Epoch loss: 0.3435 - avg acc: 42.7% - val-roc: 0.6224 - val-ap: 0.5740 (0.1s/epoch)
Epoch 196/1000:Epoch loss: 0.3263 - avg acc: 45.0% - val-roc: 0.5969 - val-ap: 0.5608 (0.1s/epoch)
Epoch 197/1000:Epoch loss: 0.3286 - avg acc: 43.5% - val-roc: 0.6224 - val-ap: 0.5837 (0.1s/epoch)
Epoch 198/1000:Epoch loss: 0.3564 - avg acc: 47.3% - val-roc: 0.6276 - val-ap: 0.5885 (0.1s/epoch)
Epoch 199/1000:Epoch loss: 0.3460 - avg acc: 50.4% - val-roc: 0.6071 - val-ap: 0.5834 (0.1s/epoch)
Epoch 200/1000:Epoch loss: 0.3061 - avg acc: 50.4% - val-roc: 0.5867 - val-ap: 0.5729 (0.1s/epoch)
Epoch 201/1000:Epoch loss: 0.3462 - avg acc: 48.9% - val-roc: 0.6071 - val-ap: 0.5865 (0.1s/epoch)
Epoch 202/1000:Epoch loss: 0.3838 - avg acc: 62.6% - val-roc: 0.6071 - val-ap: 0.5805 (0.1s/epoch)
Epoch 203/1000:Epoch loss: 0.3560 - avg acc: 48.9% - val-roc: 0.5918 - val-ap: 0.5668 (0.1s/epoch)
Epoch 204/1000:Epoch loss: 0.3266 - avg acc: 43.5% - val-roc: 0.5765 - val-ap: 0.5477 (0.1s/epoch)
Epoch 205/1000:Epoch loss: 0.3431 - avg acc: 61.8% - val-roc: 0.5867 - val-ap: 0.5716 (0.1s/epoch)
Epoch 206/1000:Epoch loss: 0.3364 - avg acc: 44.3% - val-roc: 0.5663 - val-ap: 0.5655 (0.1s/epoch)
Epoch 207/1000:Epoch loss: 0.3509 - avg acc: 43.5% - val-roc: 0.5867 - val-ap: 0.5780 (0.1s/epoch)
Epoch 208/1000:Epoch loss: 0.2735 - avg acc: 63.4% - val-roc: 0.5816 - val-ap: 0.5793 (0.1s/epoch)
Epoch 209/1000:Epoch loss: 0.3593 - avg acc: 45.8% - val-roc: 0.5918 - val-ap: 0.5864 (0.1s/epoch)
Epoch 210/1000:Epoch loss: 0.3031 - avg acc: 56.5% - val-roc: 0.6276 - val-ap: 0.6082 (0.1s/epoch)
Epoch 211/1000:Epoch loss: 0.3235 - avg acc: 62.6% - val-roc: 0.6582 - val-ap: 0.6181 (0.1s/epoch)
Epoch 212/1000:Epoch loss: 0.3260 - avg acc: 61.1% - val-roc: 0.6735 - val-ap: 0.6256 (0.1s/epoch)
Epoch 213/1000:Epoch loss: 0.3444 - avg acc: 47.3% - val-roc: 0.6582 - val-ap: 0.6199 (0.1s/epoch)
Epoch 214/1000:Epoch loss: 0.3440 - avg acc: 48.9% - val-roc: 0.6224 - val-ap: 0.5965 (0.2s/epoch)
Epoch 215/1000:Epoch loss: 0.3041 - avg acc: 67.9% - val-roc: 0.6122 - val-ap: 0.5803 (0.1s/epoch)
Epoch 216/1000:Epoch loss: 0.4358 - avg acc: 58.8% - val-roc: 0.6122 - val-ap: 0.5719 (0.1s/epoch)
Epoch 217/1000:Epoch loss: 0.3034 - avg acc: 42.7% - val-roc: 0.4847 - val-ap: 0.4859 (0.1s/epoch)
Epoch 218/1000:Epoch loss: 0.3602 - avg acc: 48.1% - val-roc: 0.4694 - val-ap: 0.4888 (0.1s/epoch)
Epoch 219/1000:Epoch loss: 0.3318 - avg acc: 46.6% - val-roc: 0.5408 - val-ap: 0.5183 (0.1s/epoch)
Epoch 220/1000:Epoch loss: 0.3111 - avg acc: 61.8% - val-roc: 0.5765 - val-ap: 0.5335 (0.1s/epoch)
Epoch 221/1000:Epoch loss: 0.3091 - avg acc: 58.0% - val-roc: 0.6020 - val-ap: 0.5437 (0.1s/epoch)
Epoch 222/1000:Epoch loss: 0.3211 - avg acc: 43.5% - val-roc: 0.6224 - val-ap: 0.5786 (0.1s/epoch)
Epoch 223/1000:Epoch loss: 0.3368 - avg acc: 82.4% - val-roc: 0.6990 - val-ap: 0.6546 (0.1s/epoch)
Epoch 224/1000:Epoch loss: 0.3571 - avg acc: 61.1% - val-roc: 0.6939 - val-ap: 0.6589 (0.1s/epoch)
Epoch 225/1000:Epoch loss: 0.3849 - avg acc: 66.4% - val-roc: 0.7245 - val-ap: 0.6910 (0.1s/epoch)
Epoch 226/1000:Epoch loss: 0.3610 - avg acc: 50.4% - val-roc: 0.7041 - val-ap: 0.6699 (0.1s/epoch)
Epoch 227/1000:Epoch loss: 0.3339 - avg acc: 49.6% - val-roc: 0.6582 - val-ap: 0.6226 (0.1s/epoch)
Epoch 228/1000:Epoch loss: 0.3821 - avg acc: 49.6% - val-roc: 0.6582 - val-ap: 0.6160 (0.1s/epoch)
Epoch 229/1000:Epoch loss: 0.3072 - avg acc: 64.1% - val-roc: 0.7296 - val-ap: 0.6844 (0.1s/epoch)
Epoch 230/1000:Epoch loss: 0.3450 - avg acc: 61.8% - val-roc: 0.7449 - val-ap: 0.7012 (0.2s/epoch)
Epoch 231/1000:Epoch loss: 0.3385 - avg acc: 50.4% - val-roc: 0.7041 - val-ap: 0.6498 (0.1s/epoch)
Epoch 232/1000:Epoch loss: 0.3196 - avg acc: 62.6% - val-roc: 0.6684 - val-ap: 0.6424 (0.1s/epoch)
Epoch 233/1000:Epoch loss: 0.2823 - avg acc: 38.9% - val-roc: 0.5969 - val-ap: 0.5887 (0.1s/epoch)
Epoch 234/1000:Epoch loss: 0.2812 - avg acc: 84.0% - val-roc: 0.6888 - val-ap: 0.6505 (0.1s/epoch)
Epoch 235/1000:Epoch loss: 0.3516 - avg acc: 47.3% - val-roc: 0.6786 - val-ap: 0.6472 (0.1s/epoch)
Epoch 236/1000:Epoch loss: 0.3160 - avg acc: 62.6% - val-roc: 0.7245 - val-ap: 0.6840 (0.1s/epoch)
Epoch 237/1000:Epoch loss: 0.2833 - avg acc: 81.7% - val-roc: 0.7347 - val-ap: 0.6894 (0.1s/epoch)
Epoch 238/1000:Epoch loss: 0.3266 - avg acc: 47.3% - val-roc: 0.6837 - val-ap: 0.6325 (0.1s/epoch)
Epoch 239/1000:Epoch loss: 0.2755 - avg acc: 82.4% - val-roc: 0.6888 - val-ap: 0.6538 (0.1s/epoch)
Epoch 240/1000:Epoch loss: 0.3074 - avg acc: 48.9% - val-roc: 0.6480 - val-ap: 0.6191 (0.1s/epoch)
Epoch 241/1000:Epoch loss: 0.3417 - avg acc: 65.6% - val-roc: 0.6276 - val-ap: 0.6188 (0.1s/epoch)
Epoch 242/1000:Epoch loss: 0.2979 - avg acc: 64.9% - val-roc: 0.6378 - val-ap: 0.6390 (0.1s/epoch)
Epoch 243/1000:Epoch loss: 0.2790 - avg acc: 61.8% - val-roc: 0.6429 - val-ap: 0.6279 (0.1s/epoch)
Epoch 244/1000:Epoch loss: 0.2723 - avg acc: 83.2% - val-roc: 0.6684 - val-ap: 0.6454 (0.1s/epoch)
Epoch 245/1000:Epoch loss: 0.3059 - avg acc: 60.3% - val-roc: 0.6276 - val-ap: 0.6081 (0.1s/epoch)
Epoch 246/1000:Epoch loss: 0.3222 - avg acc: 63.4% - val-roc: 0.6327 - val-ap: 0.6587 (0.1s/epoch)
Epoch 247/1000:Epoch loss: 0.3132 - avg acc: 49.6% - val-roc: 0.5816 - val-ap: 0.5746 (0.1s/epoch)
Epoch 248/1000:Epoch loss: 0.3196 - avg acc: 62.6% - val-roc: 0.6276 - val-ap: 0.6098 (0.1s/epoch)
Epoch 249/1000:Epoch loss: 0.3223 - avg acc: 61.1% - val-roc: 0.6327 - val-ap: 0.6102 (0.1s/epoch)
Epoch 250/1000:Epoch loss: 0.3337 - avg acc: 64.1% - val-roc: 0.6429 - val-ap: 0.6268 (0.1s/epoch)
Epoch 251/1000:Epoch loss: 0.2927 - avg acc: 84.0% - val-roc: 0.6327 - val-ap: 0.6211 (0.1s/epoch)
Epoch 252/1000:Epoch loss: 0.3002 - avg acc: 50.4% - val-roc: 0.6020 - val-ap: 0.5918 (0.1s/epoch)
Epoch 253/1000:Epoch loss: 0.3207 - avg acc: 62.6% - val-roc: 0.6173 - val-ap: 0.6070 (0.1s/epoch)
Epoch 254/1000:Epoch loss: 0.2600 - avg acc: 61.8% - val-roc: 0.6582 - val-ap: 0.6357 (0.1s/epoch)
Epoch 255/1000:Epoch loss: 0.3532 - avg acc: 61.8% - val-roc: 0.6429 - val-ap: 0.6103 (0.1s/epoch)
Epoch 256/1000:Epoch loss: 0.3102 - avg acc: 62.6% - val-roc: 0.6480 - val-ap: 0.6119 (0.1s/epoch)
Epoch 257/1000:Epoch loss: 0.2840 - avg acc: 53.4% - val-roc: 0.6327 - val-ap: 0.5876 (0.1s/epoch)
Epoch 258/1000:Epoch loss: 0.2991 - avg acc: 53.4% - val-roc: 0.6071 - val-ap: 0.5751 (0.1s/epoch)
Epoch 259/1000:Epoch loss: 0.3623 - avg acc: 61.8% - val-roc: 0.6071 - val-ap: 0.5812 (0.1s/epoch)
Epoch 260/1000:Epoch loss: 0.2914 - avg acc: 64.1% - val-roc: 0.6071 - val-ap: 0.5833 (0.1s/epoch)
Epoch 261/1000:Epoch loss: 0.3066 - avg acc: 63.4% - val-roc: 0.6327 - val-ap: 0.5955 (0.1s/epoch)
Epoch 262/1000:Epoch loss: 0.2988 - avg acc: 83.2% - val-roc: 0.6735 - val-ap: 0.6431 (0.1s/epoch)
Epoch 263/1000:Epoch loss: 0.3284 - avg acc: 83.2% - val-roc: 0.6786 - val-ap: 0.6493 (0.1s/epoch)
Epoch 264/1000:Epoch loss: 0.2891 - avg acc: 86.3% - val-roc: 0.6888 - val-ap: 0.6677 (0.1s/epoch)
Epoch 265/1000:Epoch loss: 0.3360 - avg acc: 57.3% - val-roc: 0.6939 - val-ap: 0.6687 (0.1s/epoch)
Epoch 266/1000:Epoch loss: 0.2956 - avg acc: 87.0% - val-roc: 0.7041 - val-ap: 0.6801 (0.1s/epoch)
Epoch 267/1000:Epoch loss: 0.3240 - avg acc: 83.2% - val-roc: 0.6888 - val-ap: 0.6740 (0.1s/epoch)
Epoch 268/1000:Epoch loss: 0.3652 - avg acc: 62.6% - val-roc: 0.6837 - val-ap: 0.6677 (0.1s/epoch)
Epoch 269/1000:Epoch loss: 0.3485 - avg acc: 74.0% - val-roc: 0.7143 - val-ap: 0.6883 (0.1s/epoch)
Epoch 270/1000:Epoch loss: 0.3179 - avg acc: 48.9% - val-roc: 0.7347 - val-ap: 0.7001 (0.1s/epoch)
Epoch 271/1000:Epoch loss: 0.3287 - avg acc: 83.2% - val-roc: 0.7500 - val-ap: 0.7154 (0.2s/epoch)
Epoch 272/1000:Epoch loss: 0.2999 - avg acc: 63.4% - val-roc: 0.7092 - val-ap: 0.7136 (0.1s/epoch)
Epoch 273/1000:Epoch loss: 0.3842 - avg acc: 53.4% - val-roc: 0.6173 - val-ap: 0.6191 (0.1s/epoch)
Epoch 274/1000:Epoch loss: 0.2636 - avg acc: 50.4% - val-roc: 0.6020 - val-ap: 0.5710 (0.1s/epoch)
Epoch 275/1000:Epoch loss: 0.3254 - avg acc: 63.4% - val-roc: 0.6327 - val-ap: 0.6290 (0.1s/epoch)
Epoch 276/1000:Epoch loss: 0.3065 - avg acc: 83.2% - val-roc: 0.6684 - val-ap: 0.6563 (0.1s/epoch)
Epoch 277/1000:Epoch loss: 0.3171 - avg acc: 63.4% - val-roc: 0.6582 - val-ap: 0.6372 (0.1s/epoch)
Epoch 278/1000:Epoch loss: 0.2823 - avg acc: 51.9% - val-roc: 0.5867 - val-ap: 0.5828 (0.1s/epoch)
Epoch 279/1000:Epoch loss: 0.3566 - avg acc: 71.0% - val-roc: 0.5918 - val-ap: 0.5777 (0.1s/epoch)
Epoch 280/1000:Epoch loss: 0.2937 - avg acc: 53.4% - val-roc: 0.5765 - val-ap: 0.5665 (0.1s/epoch)
Epoch 281/1000:Epoch loss: 0.3282 - avg acc: 83.2% - val-roc: 0.6122 - val-ap: 0.5889 (0.1s/epoch)
Epoch 282/1000:Epoch loss: 0.2716 - avg acc: 63.4% - val-roc: 0.6633 - val-ap: 0.6515 (0.1s/epoch)
Epoch 283/1000:Epoch loss: 0.2997 - avg acc: 63.4% - val-roc: 0.6633 - val-ap: 0.6587 (0.1s/epoch)
Epoch 284/1000:Epoch loss: 0.3269 - avg acc: 67.2% - val-roc: 0.6582 - val-ap: 0.6546 (0.1s/epoch)
Epoch 285/1000:Epoch loss: 0.3219 - avg acc: 64.9% - val-roc: 0.6378 - val-ap: 0.6446 (0.1s/epoch)
Epoch 286/1000:Epoch loss: 0.3045 - avg acc: 61.8% - val-roc: 0.6378 - val-ap: 0.6434 (0.1s/epoch)
Epoch 287/1000:Epoch loss: 0.3553 - avg acc: 63.4% - val-roc: 0.6327 - val-ap: 0.6309 (0.1s/epoch)
Epoch 288/1000:Epoch loss: 0.2992 - avg acc: 63.4% - val-roc: 0.6020 - val-ap: 0.5936 (0.1s/epoch)
Epoch 289/1000:Epoch loss: 0.2868 - avg acc: 64.1% - val-roc: 0.5867 - val-ap: 0.6042 (0.1s/epoch)
Epoch 290/1000:Epoch loss: 0.3112 - avg acc: 66.4% - val-roc: 0.6633 - val-ap: 0.6590 (0.1s/epoch)
Epoch 291/1000:Epoch loss: 0.2974 - avg acc: 82.4% - val-roc: 0.6786 - val-ap: 0.6678 (0.1s/epoch)
Epoch 292/1000:Epoch loss: 0.3413 - avg acc: 83.2% - val-roc: 0.6990 - val-ap: 0.6800 (0.1s/epoch)
Epoch 293/1000:Epoch loss: 0.2560 - avg acc: 84.7% - val-roc: 0.7143 - val-ap: 0.6855 (0.1s/epoch)
Epoch 294/1000:Epoch loss: 0.2941 - avg acc: 61.8% - val-roc: 0.6939 - val-ap: 0.6658 (0.1s/epoch)
Epoch 295/1000:Epoch loss: 0.2826 - avg acc: 64.9% - val-roc: 0.6990 - val-ap: 0.7165 (0.1s/epoch)
Epoch 296/1000:Epoch loss: 0.3141 - avg acc: 61.1% - val-roc: 0.6786 - val-ap: 0.6938 (0.1s/epoch)
Epoch 297/1000:Epoch loss: 0.2544 - avg acc: 64.9% - val-roc: 0.6378 - val-ap: 0.6297 (0.1s/epoch)
Epoch 298/1000:Epoch loss: 0.3258 - avg acc: 52.7% - val-roc: 0.6276 - val-ap: 0.6022 (0.1s/epoch)
Epoch 299/1000:Epoch loss: 0.2456 - avg acc: 66.4% - val-roc: 0.6735 - val-ap: 0.6685 (0.1s/epoch)
Epoch 300/1000:Epoch loss: 0.2739 - avg acc: 63.4% - val-roc: 0.7041 - val-ap: 0.6772 (0.1s/epoch)
Epoch 301/1000:Epoch loss: 0.2697 - avg acc: 83.2% - val-roc: 0.7041 - val-ap: 0.6757 (0.1s/epoch)
Epoch 302/1000:Epoch loss: 0.2990 - avg acc: 63.4% - val-roc: 0.6837 - val-ap: 0.6679 (0.1s/epoch)
Epoch 303/1000:Epoch loss: 0.3054 - avg acc: 86.3% - val-roc: 0.6786 - val-ap: 0.6976 (0.1s/epoch)
Epoch 304/1000:Epoch loss: 0.2569 - avg acc: 60.3% - val-roc: 0.6633 - val-ap: 0.6710 (0.1s/epoch)
Epoch 305/1000:Epoch loss: 0.3331 - avg acc: 73.3% - val-roc: 0.6786 - val-ap: 0.6712 (0.1s/epoch)
Epoch 306/1000:Epoch loss: 0.2964 - avg acc: 71.0% - val-roc: 0.6888 - val-ap: 0.6481 (0.1s/epoch)
Epoch 307/1000:Epoch loss: 0.3446 - avg acc: 51.9% - val-roc: 0.6582 - val-ap: 0.6257 (0.1s/epoch)
Epoch 308/1000:Epoch loss: 0.3039 - avg acc: 85.5% - val-roc: 0.6633 - val-ap: 0.6373 (0.1s/epoch)
Epoch 309/1000:Epoch loss: 0.2941 - avg acc: 53.4% - val-roc: 0.6429 - val-ap: 0.6465 (0.1s/epoch)
Epoch 310/1000:Epoch loss: 0.3147 - avg acc: 87.0% - val-roc: 0.6224 - val-ap: 0.6202 (0.1s/epoch)
Epoch 311/1000:Epoch loss: 0.3073 - avg acc: 61.1% - val-roc: 0.6276 - val-ap: 0.6540 (0.1s/epoch)
Epoch 312/1000:Epoch loss: 0.2952 - avg acc: 84.0% - val-roc: 0.6888 - val-ap: 0.7265 (0.1s/epoch)
Epoch 313/1000:Epoch loss: 0.3095 - avg acc: 83.2% - val-roc: 0.7296 - val-ap: 0.7739 (0.2s/epoch)
Epoch 314/1000:Epoch loss: 0.2539 - avg acc: 85.5% - val-roc: 0.7347 - val-ap: 0.7743 (0.1s/epoch)
Epoch 315/1000:Epoch loss: 0.2959 - avg acc: 85.5% - val-roc: 0.7143 - val-ap: 0.7420 (0.1s/epoch)
Epoch 316/1000:Epoch loss: 0.2820 - avg acc: 87.0% - val-roc: 0.6837 - val-ap: 0.6919 (0.1s/epoch)
Epoch 317/1000:Epoch loss: 0.2916 - avg acc: 58.0% - val-roc: 0.6684 - val-ap: 0.6587 (0.1s/epoch)
Epoch 318/1000:Epoch loss: 0.2562 - avg acc: 88.5% - val-roc: 0.6582 - val-ap: 0.6545 (0.1s/epoch)
Epoch 319/1000:Epoch loss: 0.3195 - avg acc: 83.2% - val-roc: 0.6480 - val-ap: 0.6156 (0.1s/epoch)
Epoch 320/1000:Epoch loss: 0.3046 - avg acc: 84.0% - val-roc: 0.6531 - val-ap: 0.6576 (0.1s/epoch)
Epoch 321/1000:Epoch loss: 0.3277 - avg acc: 84.0% - val-roc: 0.6531 - val-ap: 0.6593 (0.1s/epoch)
Epoch 322/1000:Epoch loss: 0.3012 - avg acc: 63.4% - val-roc: 0.6071 - val-ap: 0.5978 (0.1s/epoch)
Epoch 323/1000:Epoch loss: 0.2755 - avg acc: 85.5% - val-roc: 0.6122 - val-ap: 0.6040 (0.1s/epoch)
Epoch 324/1000:Epoch loss: 0.3084 - avg acc: 64.1% - val-roc: 0.6633 - val-ap: 0.6345 (0.1s/epoch)
Epoch 325/1000:Epoch loss: 0.2611 - avg acc: 87.0% - val-roc: 0.7143 - val-ap: 0.7452 (0.1s/epoch)
Epoch 326/1000:Epoch loss: 0.3223 - avg acc: 83.2% - val-roc: 0.6939 - val-ap: 0.6751 (0.1s/epoch)
Epoch 327/1000:Epoch loss: 0.3741 - avg acc: 63.4% - val-roc: 0.6224 - val-ap: 0.6110 (0.1s/epoch)
Epoch 328/1000:Epoch loss: 0.3144 - avg acc: 71.8% - val-roc: 0.5918 - val-ap: 0.5864 (0.1s/epoch)
Epoch 329/1000:Epoch loss: 0.2930 - avg acc: 84.7% - val-roc: 0.6276 - val-ap: 0.6160 (0.1s/epoch)
Epoch 330/1000:Epoch loss: 0.2683 - avg acc: 66.4% - val-roc: 0.6224 - val-ap: 0.5936 (0.1s/epoch)
Epoch 331/1000:Epoch loss: 0.2806 - avg acc: 84.0% - val-roc: 0.6224 - val-ap: 0.5941 (0.1s/epoch)
Epoch 332/1000:Epoch loss: 0.3014 - avg acc: 84.0% - val-roc: 0.6173 - val-ap: 0.6040 (0.1s/epoch)
Epoch 333/1000:Epoch loss: 0.3301 - avg acc: 84.0% - val-roc: 0.6122 - val-ap: 0.5964 (0.1s/epoch)
Epoch 334/1000:Epoch loss: 0.2275 - avg acc: 64.1% - val-roc: 0.6173 - val-ap: 0.5863 (0.1s/epoch)
Epoch 335/1000:Epoch loss: 0.3263 - avg acc: 85.5% - val-roc: 0.6429 - val-ap: 0.6532 (0.1s/epoch)
Epoch 336/1000:Epoch loss: 0.2876 - avg acc: 64.9% - val-roc: 0.6531 - val-ap: 0.6606 (0.1s/epoch)
Epoch 337/1000:Epoch loss: 0.2755 - avg acc: 85.5% - val-roc: 0.6531 - val-ap: 0.6606 (0.1s/epoch)
Epoch 338/1000:Epoch loss: 0.2340 - avg acc: 64.9% - val-roc: 0.6173 - val-ap: 0.6020 (0.1s/epoch)
Epoch 339/1000:Epoch loss: 0.2773 - avg acc: 71.8% - val-roc: 0.6122 - val-ap: 0.5964 (0.1s/epoch)
Epoch 340/1000:Epoch loss: 0.2774 - avg acc: 84.0% - val-roc: 0.6429 - val-ap: 0.6301 (0.1s/epoch)
Epoch 341/1000:Epoch loss: 0.3015 - avg acc: 84.7% - val-roc: 0.6276 - val-ap: 0.6030 (0.1s/epoch)
Epoch 342/1000:Epoch loss: 0.2707 - avg acc: 74.0% - val-roc: 0.5867 - val-ap: 0.5756 (0.1s/epoch)
Epoch 343/1000:Epoch loss: 0.2937 - avg acc: 87.0% - val-roc: 0.5816 - val-ap: 0.5686 (0.1s/epoch)
Epoch 344/1000:Epoch loss: 0.3946 - avg acc: 84.0% - val-roc: 0.6173 - val-ap: 0.5980 (0.1s/epoch)
Epoch 345/1000:Epoch loss: 0.2532 - avg acc: 87.0% - val-roc: 0.6888 - val-ap: 0.6607 (0.1s/epoch)
Epoch 346/1000:Epoch loss: 0.2869 - avg acc: 87.0% - val-roc: 0.6990 - val-ap: 0.6654 (0.1s/epoch)
Epoch 347/1000:Epoch loss: 0.3225 - avg acc: 84.7% - val-roc: 0.6429 - val-ap: 0.6290 (0.1s/epoch)
Epoch 348/1000:Epoch loss: 0.2905 - avg acc: 73.3% - val-roc: 0.6122 - val-ap: 0.6181 (0.1s/epoch)
Epoch 349/1000:Epoch loss: 0.3098 - avg acc: 85.5% - val-roc: 0.6224 - val-ap: 0.6237 (0.1s/epoch)
Epoch 350/1000:Epoch loss: 0.2841 - avg acc: 87.0% - val-roc: 0.6429 - val-ap: 0.6343 (0.1s/epoch)
Epoch 351/1000:Epoch loss: 0.2379 - avg acc: 82.4% - val-roc: 0.6633 - val-ap: 0.6502 (0.1s/epoch)
Epoch 352/1000:Epoch loss: 0.2708 - avg acc: 86.3% - val-roc: 0.6786 - val-ap: 0.6643 (0.1s/epoch)
Epoch 353/1000:Epoch loss: 0.2610 - avg acc: 83.2% - val-roc: 0.6837 - val-ap: 0.7000 (0.1s/epoch)
Epoch 354/1000:Epoch loss: 0.3201 - avg acc: 85.5% - val-roc: 0.6786 - val-ap: 0.6837 (0.1s/epoch)
Epoch 355/1000:Epoch loss: 0.2977 - avg acc: 87.0% - val-roc: 0.6582 - val-ap: 0.6381 (0.1s/epoch)
Epoch 356/1000:Epoch loss: 0.2769 - avg acc: 64.1% - val-roc: 0.6122 - val-ap: 0.6168 (0.1s/epoch)
Epoch 357/1000:Epoch loss: 0.2939 - avg acc: 87.8% - val-roc: 0.5765 - val-ap: 0.5920 (0.1s/epoch)
Epoch 358/1000:Epoch loss: 0.2909 - avg acc: 64.9% - val-roc: 0.5765 - val-ap: 0.5896 (0.1s/epoch)
Epoch 359/1000:Epoch loss: 0.2622 - avg acc: 87.8% - val-roc: 0.6173 - val-ap: 0.6133 (0.1s/epoch)
Epoch 360/1000:Epoch loss: 0.2738 - avg acc: 61.8% - val-roc: 0.6633 - val-ap: 0.6741 (0.1s/epoch)
Epoch 361/1000:Epoch loss: 0.2612 - avg acc: 87.0% - val-roc: 0.6633 - val-ap: 0.6769 (0.1s/epoch)
Epoch 362/1000:Epoch loss: 0.2698 - avg acc: 87.0% - val-roc: 0.6633 - val-ap: 0.6837 (0.1s/epoch)
Epoch 363/1000:Epoch loss: 0.3020 - avg acc: 64.1% - val-roc: 0.6122 - val-ap: 0.6135 (0.1s/epoch)
Epoch 364/1000:Epoch loss: 0.2506 - avg acc: 86.3% - val-roc: 0.6122 - val-ap: 0.6135 (0.1s/epoch)
Epoch 365/1000:Epoch loss: 0.3277 - avg acc: 87.0% - val-roc: 0.5867 - val-ap: 0.5918 (0.1s/epoch)
Epoch 366/1000:Epoch loss: 0.2766 - avg acc: 65.6% - val-roc: 0.5765 - val-ap: 0.5811 (0.1s/epoch)
Epoch 367/1000:Epoch loss: 0.2784 - avg acc: 87.0% - val-roc: 0.5612 - val-ap: 0.5453 (0.1s/epoch)
Epoch 368/1000:Epoch loss: 0.2838 - avg acc: 86.3% - val-roc: 0.5612 - val-ap: 0.5528 (0.1s/epoch)
Epoch 369/1000:Epoch loss: 0.2973 - avg acc: 83.2% - val-roc: 0.5663 - val-ap: 0.5573 (0.1s/epoch)
Epoch 370/1000:Epoch loss: 0.3113 - avg acc: 87.0% - val-roc: 0.5867 - val-ap: 0.5910 (0.1s/epoch)
Epoch 371/1000:Epoch loss: 0.3282 - avg acc: 84.0% - val-roc: 0.5765 - val-ap: 0.5627 (0.1s/epoch)
Epoch 372/1000:Epoch loss: 0.2639 - avg acc: 87.8% - val-roc: 0.5663 - val-ap: 0.5598 (0.1s/epoch)
Epoch 373/1000:Epoch loss: 0.2599 - avg acc: 87.0% - val-roc: 0.5714 - val-ap: 0.5588 (0.1s/epoch)
Epoch 374/1000:Epoch loss: 0.3115 - avg acc: 85.5% - val-roc: 0.5867 - val-ap: 0.5906 (0.1s/epoch)
Epoch 375/1000:Epoch loss: 0.2871 - avg acc: 84.7% - val-roc: 0.5969 - val-ap: 0.5944 (0.1s/epoch)
Epoch 376/1000:Epoch loss: 0.2557 - avg acc: 89.3% - val-roc: 0.6480 - val-ap: 0.6456 (0.1s/epoch)
Epoch 377/1000:Epoch loss: 0.2768 - avg acc: 72.5% - val-roc: 0.6071 - val-ap: 0.5879 (0.1s/epoch)
Epoch 378/1000:Epoch loss: 0.2832 - avg acc: 89.3% - val-roc: 0.6173 - val-ap: 0.6025 (0.1s/epoch)
Epoch 379/1000:Epoch loss: 0.3011 - avg acc: 73.3% - val-roc: 0.5765 - val-ap: 0.5606 (0.1s/epoch)
Epoch 380/1000:Epoch loss: 0.2803 - avg acc: 86.3% - val-roc: 0.5663 - val-ap: 0.5537 (0.1s/epoch)
Epoch 381/1000:Epoch loss: 0.3665 - avg acc: 66.4% - val-roc: 0.5459 - val-ap: 0.5446 (0.1s/epoch)
Epoch 382/1000:Epoch loss: 0.3039 - avg acc: 87.8% - val-roc: 0.5918 - val-ap: 0.5929 (0.1s/epoch)
Epoch 383/1000:Epoch loss: 0.2796 - avg acc: 87.8% - val-roc: 0.6020 - val-ap: 0.5983 (0.1s/epoch)
Epoch 384/1000:Epoch loss: 0.2848 - avg acc: 85.5% - val-roc: 0.6122 - val-ap: 0.6085 (0.1s/epoch)
Epoch 385/1000:Epoch loss: 0.2437 - avg acc: 88.5% - val-roc: 0.6173 - val-ap: 0.6172 (0.1s/epoch)
Epoch 386/1000:Epoch loss: 0.2493 - avg acc: 86.3% - val-roc: 0.5918 - val-ap: 0.5883 (0.1s/epoch)
Epoch 387/1000:Epoch loss: 0.2645 - avg acc: 87.0% - val-roc: 0.6327 - val-ap: 0.6232 (0.1s/epoch)
Epoch 388/1000:Epoch loss: 0.2801 - avg acc: 88.5% - val-roc: 0.6582 - val-ap: 0.6403 (0.1s/epoch)
Epoch 389/1000:Epoch loss: 0.2858 - avg acc: 86.3% - val-roc: 0.6582 - val-ap: 0.7015 (0.1s/epoch)
Epoch 390/1000:Epoch loss: 0.2846 - avg acc: 88.5% - val-roc: 0.6735 - val-ap: 0.7223 (0.1s/epoch)
Epoch 391/1000:Epoch loss: 0.2828 - avg acc: 83.2% - val-roc: 0.6429 - val-ap: 0.6966 (0.1s/epoch)
Epoch 392/1000:Epoch loss: 0.3090 - avg acc: 89.3% - val-roc: 0.6786 - val-ap: 0.7190 (0.1s/epoch)
Epoch 393/1000:Epoch loss: 0.2811 - avg acc: 87.0% - val-roc: 0.6582 - val-ap: 0.6763 (0.1s/epoch)
Epoch 394/1000:Epoch loss: 0.2788 - avg acc: 85.5% - val-roc: 0.6378 - val-ap: 0.6241 (0.1s/epoch)
Epoch 395/1000:Epoch loss: 0.3040 - avg acc: 85.5% - val-roc: 0.6633 - val-ap: 0.6871 (0.1s/epoch)
Epoch 396/1000:Epoch loss: 0.2728 - avg acc: 87.8% - val-roc: 0.6735 - val-ap: 0.7116 (0.1s/epoch)
Epoch 397/1000:Epoch loss: 0.3102 - avg acc: 87.0% - val-roc: 0.6429 - val-ap: 0.6197 (0.1s/epoch)
Epoch 398/1000:Epoch loss: 0.2638 - avg acc: 88.5% - val-roc: 0.6327 - val-ap: 0.6210 (0.1s/epoch)
Epoch 399/1000:Epoch loss: 0.2614 - avg acc: 86.3% - val-roc: 0.5765 - val-ap: 0.5793 (0.1s/epoch)
Epoch 400/1000:Epoch loss: 0.2756 - avg acc: 84.7% - val-roc: 0.6224 - val-ap: 0.6630 (0.1s/epoch)
Epoch 401/1000:Epoch loss: 0.2985 - avg acc: 85.5% - val-roc: 0.6122 - val-ap: 0.6057 (0.1s/epoch)
Epoch 402/1000:Epoch loss: 0.3128 - avg acc: 88.5% - val-roc: 0.6786 - val-ap: 0.7274 (0.1s/epoch)
Epoch 403/1000:Epoch loss: 0.3154 - avg acc: 86.3% - val-roc: 0.6735 - val-ap: 0.7022 (0.1s/epoch)
Epoch 404/1000:Epoch loss: 0.3255 - avg acc: 87.0% - val-roc: 0.6684 - val-ap: 0.7068 (0.1s/epoch)
Epoch 405/1000:Epoch loss: 0.2643 - avg acc: 88.5% - val-roc: 0.6582 - val-ap: 0.7013 (0.1s/epoch)
Epoch 406/1000:Epoch loss: 0.3300 - avg acc: 84.7% - val-roc: 0.6582 - val-ap: 0.6339 (0.1s/epoch)
Epoch 407/1000:Epoch loss: 0.2299 - avg acc: 88.5% - val-roc: 0.6429 - val-ap: 0.6335 (0.1s/epoch)
Epoch 408/1000:Epoch loss: 0.2626 - avg acc: 66.4% - val-roc: 0.6071 - val-ap: 0.6076 (0.1s/epoch)
Epoch 409/1000:Epoch loss: 0.3190 - avg acc: 88.5% - val-roc: 0.6480 - val-ap: 0.6337 (0.1s/epoch)
Epoch 410/1000:Epoch loss: 0.2762 - avg acc: 72.5% - val-roc: 0.6633 - val-ap: 0.6512 (0.1s/epoch)
Epoch 411/1000:Epoch loss: 0.2649 - avg acc: 87.8% - val-roc: 0.6990 - val-ap: 0.6755 (0.1s/epoch)
Epoch 412/1000:Epoch loss: 0.2543 - avg acc: 87.0% - val-roc: 0.6786 - val-ap: 0.6586 (0.1s/epoch)
Epoch 413/1000:Epoch loss: 0.3289 - avg acc: 86.3% - val-roc: 0.6684 - val-ap: 0.6490 (0.1s/epoch)
Epoch 414/1000:Epoch loss: 0.2992 - avg acc: 86.3% - val-roc: 0.6531 - val-ap: 0.6336 (0.1s/epoch)
Epoch 415/1000:Epoch loss: 0.3009 - avg acc: 87.8% - val-roc: 0.6531 - val-ap: 0.6424 (0.1s/epoch)
Epoch 416/1000:Epoch loss: 0.3036 - avg acc: 86.3% - val-roc: 0.6327 - val-ap: 0.6210 (0.1s/epoch)
Epoch 417/1000:Epoch loss: 0.3214 - avg acc: 87.0% - val-roc: 0.6837 - val-ap: 0.6519 (0.1s/epoch)
Epoch 418/1000:Epoch loss: 0.3063 - avg acc: 84.7% - val-roc: 0.6480 - val-ap: 0.6342 (0.1s/epoch)
Epoch 419/1000:Epoch loss: 0.2916 - avg acc: 85.5% - val-roc: 0.6276 - val-ap: 0.6258 (0.1s/epoch)
Epoch 420/1000:Epoch loss: 0.2701 - avg acc: 89.3% - val-roc: 0.6735 - val-ap: 0.6591 (0.1s/epoch)
Epoch 421/1000:Epoch loss: 0.3002 - avg acc: 87.0% - val-roc: 0.7245 - val-ap: 0.7728 (0.1s/epoch)
Epoch 422/1000:Epoch loss: 0.2619 - avg acc: 87.0% - val-roc: 0.7347 - val-ap: 0.7688 (0.1s/epoch)
Epoch 423/1000:Epoch loss: 0.2905 - avg acc: 88.5% - val-roc: 0.6735 - val-ap: 0.7098 (0.1s/epoch)
Epoch 424/1000:Epoch loss: 0.2865 - avg acc: 87.0% - val-roc: 0.6378 - val-ap: 0.6226 (0.1s/epoch)
Epoch 425/1000:Epoch loss: 0.2964 - avg acc: 88.5% - val-roc: 0.6531 - val-ap: 0.6331 (0.1s/epoch)
Epoch 426/1000:Epoch loss: 0.2669 - avg acc: 62.6% - val-roc: 0.6531 - val-ap: 0.6467 (0.1s/epoch)
Epoch 427/1000:Epoch loss: 0.3032 - avg acc: 90.8% - val-roc: 0.7143 - val-ap: 0.7399 (0.1s/epoch)
Epoch 428/1000:Epoch loss: 0.3080 - avg acc: 69.5% - val-roc: 0.6327 - val-ap: 0.5976 (0.1s/epoch)
Epoch 429/1000:Epoch loss: 0.3022 - avg acc: 87.0% - val-roc: 0.6020 - val-ap: 0.5819 (0.1s/epoch)
Epoch 430/1000:Epoch loss: 0.2419 - avg acc: 80.9% - val-roc: 0.6122 - val-ap: 0.5876 (0.1s/epoch)
Epoch 431/1000:Epoch loss: 0.2604 - avg acc: 86.3% - val-roc: 0.6327 - val-ap: 0.6179 (0.1s/epoch)
Epoch 432/1000:Epoch loss: 0.3341 - avg acc: 87.8% - val-roc: 0.6735 - val-ap: 0.6497 (0.1s/epoch)
Epoch 433/1000:Epoch loss: 0.3120 - avg acc: 55.7% - val-roc: 0.6735 - val-ap: 0.7126 (0.1s/epoch)
Epoch 434/1000:Epoch loss: 0.3058 - avg acc: 87.8% - val-roc: 0.7092 - val-ap: 0.7429 (0.1s/epoch)
Epoch 435/1000:Epoch loss: 0.2793 - avg acc: 85.5% - val-roc: 0.6735 - val-ap: 0.6828 (0.2s/epoch)
Epoch 436/1000:Epoch loss: 0.2481 - avg acc: 85.5% - val-roc: 0.6582 - val-ap: 0.6415 (0.1s/epoch)
Epoch 437/1000:Epoch loss: 0.2176 - avg acc: 87.8% - val-roc: 0.6582 - val-ap: 0.6422 (0.1s/epoch)
Epoch 438/1000:Epoch loss: 0.2721 - avg acc: 87.8% - val-roc: 0.6939 - val-ap: 0.6708 (0.1s/epoch)
Epoch 439/1000:Epoch loss: 0.2888 - avg acc: 88.5% - val-roc: 0.7143 - val-ap: 0.6792 (0.1s/epoch)
Epoch 440/1000:Epoch loss: 0.2710 - avg acc: 86.3% - val-roc: 0.6888 - val-ap: 0.6375 (0.1s/epoch)
Epoch 441/1000:Epoch loss: 0.2656 - avg acc: 88.5% - val-roc: 0.7245 - val-ap: 0.6776 (0.1s/epoch)
Epoch 442/1000:Epoch loss: 0.2798 - avg acc: 87.0% - val-roc: 0.7245 - val-ap: 0.6845 (0.1s/epoch)
Epoch 443/1000:Epoch loss: 0.3162 - avg acc: 87.0% - val-roc: 0.7296 - val-ap: 0.6895 (0.1s/epoch)
Epoch 444/1000:Epoch loss: 0.2557 - avg acc: 88.5% - val-roc: 0.6990 - val-ap: 0.6617 (0.1s/epoch)
Epoch 445/1000:Epoch loss: 0.2619 - avg acc: 85.5% - val-roc: 0.6939 - val-ap: 0.6525 (0.2s/epoch)
Epoch 446/1000:Epoch loss: 0.2294 - avg acc: 88.5% - val-roc: 0.7500 - val-ap: 0.7694 (0.1s/epoch)
Epoch 447/1000:Epoch loss: 0.2997 - avg acc: 87.0% - val-roc: 0.7143 - val-ap: 0.7277 (0.1s/epoch)
Epoch 448/1000:Epoch loss: 0.3703 - avg acc: 88.5% - val-roc: 0.7041 - val-ap: 0.7337 (0.1s/epoch)
Epoch 449/1000:Epoch loss: 0.3122 - avg acc: 89.3% - val-roc: 0.6633 - val-ap: 0.6681 (0.1s/epoch)
Epoch 450/1000:Epoch loss: 0.2492 - avg acc: 81.7% - val-roc: 0.6378 - val-ap: 0.6492 (0.1s/epoch)
Epoch 451/1000:Epoch loss: 0.2811 - avg acc: 88.5% - val-roc: 0.6327 - val-ap: 0.6114 (0.1s/epoch)
Epoch 452/1000:Epoch loss: 0.2659 - avg acc: 87.0% - val-roc: 0.6429 - val-ap: 0.6614 (0.1s/epoch)
Epoch 453/1000:Epoch loss: 0.2542 - avg acc: 88.5% - val-roc: 0.6224 - val-ap: 0.6398 (0.1s/epoch)
Epoch 454/1000:Epoch loss: 0.2265 - avg acc: 88.5% - val-roc: 0.6327 - val-ap: 0.6500 (0.1s/epoch)
Epoch 455/1000:Epoch loss: 0.2977 - avg acc: 89.3% - val-roc: 0.6224 - val-ap: 0.6120 (0.2s/epoch)
Epoch 456/1000:Epoch loss: 0.2736 - avg acc: 87.8% - val-roc: 0.6378 - val-ap: 0.6779 (0.1s/epoch)
Epoch 457/1000:Epoch loss: 0.2672 - avg acc: 87.8% - val-roc: 0.6378 - val-ap: 0.6789 (0.1s/epoch)
Epoch 458/1000:Epoch loss: 0.2818 - avg acc: 88.5% - val-roc: 0.6480 - val-ap: 0.6749 (0.1s/epoch)
Epoch 459/1000:Epoch loss: 0.2819 - avg acc: 87.8% - val-roc: 0.6276 - val-ap: 0.6087 (0.1s/epoch)
Epoch 460/1000:Epoch loss: 0.2939 - avg acc: 89.3% - val-roc: 0.6173 - val-ap: 0.6083 (0.1s/epoch)
Epoch 461/1000:Epoch loss: 0.2397 - avg acc: 87.0% - val-roc: 0.6122 - val-ap: 0.6094 (0.1s/epoch)
Epoch 462/1000:Epoch loss: 0.2519 - avg acc: 88.5% - val-roc: 0.6531 - val-ap: 0.6398 (0.1s/epoch)
Epoch 463/1000:Epoch loss: 0.2570 - avg acc: 88.5% - val-roc: 0.6531 - val-ap: 0.6382 (0.1s/epoch)
Epoch 464/1000:Epoch loss: 0.2500 - avg acc: 88.5% - val-roc: 0.6224 - val-ap: 0.6639 (0.1s/epoch)
Epoch 465/1000:Epoch loss: 0.2990 - avg acc: 88.5% - val-roc: 0.5663 - val-ap: 0.5728 (0.1s/epoch)
Epoch 466/1000:Epoch loss: 0.2137 - avg acc: 64.9% - val-roc: 0.5408 - val-ap: 0.5414 (0.1s/epoch)
Epoch 467/1000:Epoch loss: 0.2405 - avg acc: 89.3% - val-roc: 0.6122 - val-ap: 0.6078 (0.1s/epoch)
Epoch 468/1000:Epoch loss: 0.2182 - avg acc: 87.8% - val-roc: 0.6735 - val-ap: 0.7129 (0.1s/epoch)
Epoch 469/1000:Epoch loss: 0.2671 - avg acc: 88.5% - val-roc: 0.6888 - val-ap: 0.7131 (0.1s/epoch)
Epoch 470/1000:Epoch loss: 0.2839 - avg acc: 88.5% - val-roc: 0.7041 - val-ap: 0.6725 (0.1s/epoch)
Epoch 471/1000:Epoch loss: 0.3318 - avg acc: 87.0% - val-roc: 0.6735 - val-ap: 0.6581 (0.1s/epoch)
Epoch 472/1000:Epoch loss: 0.2674 - avg acc: 87.8% - val-roc: 0.6837 - val-ap: 0.6612 (0.1s/epoch)
Epoch 473/1000:Epoch loss: 0.2705 - avg acc: 87.0% - val-roc: 0.6582 - val-ap: 0.6532 (0.1s/epoch)
Epoch 474/1000:Epoch loss: 0.2196 - avg acc: 88.5% - val-roc: 0.6990 - val-ap: 0.7458 (0.1s/epoch)
Epoch 475/1000:Epoch loss: 0.2303 - avg acc: 89.3% - val-roc: 0.6633 - val-ap: 0.6827 (0.1s/epoch)
Epoch 476/1000:Epoch loss: 0.2518 - avg acc: 88.5% - val-roc: 0.6276 - val-ap: 0.6496 (0.1s/epoch)
Epoch 477/1000:Epoch loss: 0.2264 - avg acc: 88.5% - val-roc: 0.6684 - val-ap: 0.7179 (0.1s/epoch)
Epoch 478/1000:Epoch loss: 0.3197 - avg acc: 88.5% - val-roc: 0.6735 - val-ap: 0.7146 (0.1s/epoch)
Epoch 479/1000:Epoch loss: 0.2773 - avg acc: 88.5% - val-roc: 0.6735 - val-ap: 0.7238 (0.1s/epoch)
Epoch 480/1000:Epoch loss: 0.2917 - avg acc: 88.5% - val-roc: 0.6888 - val-ap: 0.7345 (0.1s/epoch)
Epoch 481/1000:Epoch loss: 0.3020 - avg acc: 87.0% - val-roc: 0.6786 - val-ap: 0.7247 (0.1s/epoch)
Epoch 482/1000:Epoch loss: 0.2483 - avg acc: 89.3% - val-roc: 0.6939 - val-ap: 0.7318 (0.1s/epoch)
Epoch 483/1000:Epoch loss: 0.2653 - avg acc: 88.5% - val-roc: 0.6633 - val-ap: 0.7042 (0.1s/epoch)
Epoch 484/1000:Epoch loss: 0.2910 - avg acc: 89.3% - val-roc: 0.6582 - val-ap: 0.6754 (0.1s/epoch)
Epoch 485/1000:Epoch loss: 0.2941 - avg acc: 68.7% - val-roc: 0.6429 - val-ap: 0.6903 (0.1s/epoch)
Epoch 486/1000:Epoch loss: 0.2354 - avg acc: 89.3% - val-roc: 0.6786 - val-ap: 0.7299 (0.1s/epoch)
Epoch 487/1000:Epoch loss: 0.2664 - avg acc: 88.5% - val-roc: 0.6531 - val-ap: 0.7046 (0.1s/epoch)
Epoch 488/1000:Epoch loss: 0.2529 - avg acc: 89.3% - val-roc: 0.6684 - val-ap: 0.7206 (0.1s/epoch)
Epoch 489/1000:Epoch loss: 0.2013 - avg acc: 68.7% - val-roc: 0.6531 - val-ap: 0.7094 (0.1s/epoch)
Epoch 490/1000:Epoch loss: 0.2781 - avg acc: 90.1% - val-roc: 0.6786 - val-ap: 0.7200 (0.1s/epoch)
Epoch 491/1000:Epoch loss: 0.2543 - avg acc: 84.7% - val-roc: 0.6480 - val-ap: 0.6935 (0.1s/epoch)
Epoch 492/1000:Epoch loss: 0.2937 - avg acc: 89.3% - val-roc: 0.6990 - val-ap: 0.7300 (0.1s/epoch)
Epoch 493/1000:Epoch loss: 0.2907 - avg acc: 89.3% - val-roc: 0.7194 - val-ap: 0.7529 (0.1s/epoch)
Epoch 494/1000:Epoch loss: 0.2757 - avg acc: 88.5% - val-roc: 0.6888 - val-ap: 0.7124 (0.1s/epoch)
Epoch 495/1000:Epoch loss: 0.2481 - avg acc: 89.3% - val-roc: 0.6633 - val-ap: 0.6439 (0.1s/epoch)
Epoch 496/1000:Epoch loss: 0.2861 - avg acc: 88.5% - val-roc: 0.6480 - val-ap: 0.6234 (0.1s/epoch)
Epoch 497/1000:Epoch loss: 0.2771 - avg acc: 87.8% - val-roc: 0.6888 - val-ap: 0.6529 (0.1s/epoch)
Epoch 498/1000:Epoch loss: 0.2782 - avg acc: 89.3% - val-roc: 0.6888 - val-ap: 0.6492 (0.1s/epoch)
Epoch 499/1000:Epoch loss: 0.2421 - avg acc: 83.2% - val-roc: 0.6224 - val-ap: 0.5824 (0.1s/epoch)
Epoch 500/1000:Epoch loss: 0.2759 - avg acc: 90.1% - val-roc: 0.6122 - val-ap: 0.5850 (0.1s/epoch)
Epoch 501/1000:Epoch loss: 0.2695 - avg acc: 87.8% - val-roc: 0.6327 - val-ap: 0.6127 (0.1s/epoch)
Epoch 502/1000:Epoch loss: 0.2201 - avg acc: 87.0% - val-roc: 0.6684 - val-ap: 0.6450 (0.1s/epoch)
Epoch 503/1000:Epoch loss: 0.3428 - avg acc: 90.8% - val-roc: 0.6837 - val-ap: 0.6656 (0.1s/epoch)
Epoch 504/1000:Epoch loss: 0.3068 - avg acc: 80.9% - val-roc: 0.6684 - val-ap: 0.6533 (0.1s/epoch)
Epoch 505/1000:Epoch loss: 0.2892 - avg acc: 90.1% - val-roc: 0.6837 - val-ap: 0.6611 (0.1s/epoch)
Epoch 506/1000:Epoch loss: 0.2122 - avg acc: 80.9% - val-roc: 0.6531 - val-ap: 0.6549 (0.1s/epoch)
Epoch 507/1000:Epoch loss: 0.2526 - avg acc: 90.1% - val-roc: 0.6735 - val-ap: 0.6769 (0.1s/epoch)
Epoch 508/1000:Epoch loss: 0.3503 - avg acc: 88.5% - val-roc: 0.6122 - val-ap: 0.5998 (0.1s/epoch)
Epoch 509/1000:Epoch loss: 0.2759 - avg acc: 89.3% - val-roc: 0.6378 - val-ap: 0.6126 (0.1s/epoch)
Epoch 510/1000:Epoch loss: 0.2421 - avg acc: 88.5% - val-roc: 0.6276 - val-ap: 0.6036 (0.1s/epoch)
Epoch 511/1000:Epoch loss: 0.2524 - avg acc: 89.3% - val-roc: 0.6327 - val-ap: 0.6068 (0.1s/epoch)
Epoch 512/1000:Epoch loss: 0.2153 - avg acc: 89.3% - val-roc: 0.6173 - val-ap: 0.6004 (0.1s/epoch)
Epoch 513/1000:Epoch loss: 0.2162 - avg acc: 90.1% - val-roc: 0.6071 - val-ap: 0.5949 (0.1s/epoch)
Epoch 514/1000:Epoch loss: 0.2380 - avg acc: 90.1% - val-roc: 0.6173 - val-ap: 0.5983 (0.1s/epoch)
Epoch 515/1000:Epoch loss: 0.2735 - avg acc: 90.1% - val-roc: 0.6327 - val-ap: 0.6062 (0.1s/epoch)
Epoch 516/1000:Epoch loss: 0.2559 - avg acc: 89.3% - val-roc: 0.6224 - val-ap: 0.6158 (0.1s/epoch)
Epoch 517/1000:Epoch loss: 0.2611 - avg acc: 91.6% - val-roc: 0.6327 - val-ap: 0.6125 (0.1s/epoch)
Epoch 518/1000:Epoch loss: 0.3123 - avg acc: 83.2% - val-roc: 0.6378 - val-ap: 0.6095 (0.1s/epoch)
Epoch 519/1000:Epoch loss: 0.3074 - avg acc: 89.3% - val-roc: 0.6531 - val-ap: 0.6340 (0.1s/epoch)
Epoch 520/1000:Epoch loss: 0.2113 - avg acc: 90.1% - val-roc: 0.6633 - val-ap: 0.6459 (0.1s/epoch)
Epoch 521/1000:Epoch loss: 0.2455 - avg acc: 88.5% - val-roc: 0.6276 - val-ap: 0.6123 (0.1s/epoch)
Epoch 522/1000:Epoch loss: 0.2341 - avg acc: 90.1% - val-roc: 0.6071 - val-ap: 0.6031 (0.1s/epoch)
Epoch 523/1000:Epoch loss: 0.2106 - avg acc: 87.8% - val-roc: 0.6173 - val-ap: 0.6201 (0.1s/epoch)
Epoch 524/1000:Epoch loss: 0.2453 - avg acc: 90.1% - val-roc: 0.6429 - val-ap: 0.6361 (0.1s/epoch)
Epoch 525/1000:Epoch loss: 0.3352 - avg acc: 87.8% - val-roc: 0.6122 - val-ap: 0.6191 (0.1s/epoch)
Epoch 526/1000:Epoch loss: 0.2660 - avg acc: 88.5% - val-roc: 0.5816 - val-ap: 0.5602 (0.1s/epoch)
Epoch 527/1000:Epoch loss: 0.2504 - avg acc: 90.1% - val-roc: 0.6020 - val-ap: 0.5697 (0.1s/epoch)
Epoch 528/1000:Epoch loss: 0.2646 - avg acc: 90.1% - val-roc: 0.6224 - val-ap: 0.5835 (0.1s/epoch)
Epoch 529/1000:Epoch loss: 0.2356 - avg acc: 90.8% - val-roc: 0.6531 - val-ap: 0.6240 (0.1s/epoch)
Epoch 530/1000:Epoch loss: 0.2800 - avg acc: 88.5% - val-roc: 0.6582 - val-ap: 0.6310 (0.1s/epoch)
Epoch 531/1000:Epoch loss: 0.2879 - avg acc: 89.3% - val-roc: 0.6888 - val-ap: 0.6616 (0.1s/epoch)
Epoch 532/1000:Epoch loss: 0.2962 - avg acc: 88.5% - val-roc: 0.6990 - val-ap: 0.6686 (0.1s/epoch)
Epoch 533/1000:Epoch loss: 0.2487 - avg acc: 90.8% - val-roc: 0.6633 - val-ap: 0.6425 (0.1s/epoch)
Epoch 534/1000:Epoch loss: 0.2725 - avg acc: 89.3% - val-roc: 0.6939 - val-ap: 0.6661 (0.1s/epoch)
Epoch 535/1000:Epoch loss: 0.2327 - avg acc: 89.3% - val-roc: 0.6786 - val-ap: 0.6557 (0.1s/epoch)
Epoch 536/1000:Epoch loss: 0.2165 - avg acc: 85.5% - val-roc: 0.6582 - val-ap: 0.6454 (0.1s/epoch)
Epoch 537/1000:Epoch loss: 0.2350 - avg acc: 89.3% - val-roc: 0.6939 - val-ap: 0.6701 (0.1s/epoch)
Epoch 538/1000:Epoch loss: 0.2280 - avg acc: 89.3% - val-roc: 0.6939 - val-ap: 0.7132 (0.1s/epoch)
Epoch 539/1000:Epoch loss: 0.2220 - avg acc: 89.3% - val-roc: 0.7398 - val-ap: 0.7700 (0.1s/epoch)
Epoch 540/1000:Epoch loss: 0.2552 - avg acc: 90.1% - val-roc: 0.7398 - val-ap: 0.7676 (0.1s/epoch)
Epoch 541/1000:Epoch loss: 0.2805 - avg acc: 90.1% - val-roc: 0.7041 - val-ap: 0.6777 (0.1s/epoch)
Epoch 542/1000:Epoch loss: 0.2504 - avg acc: 90.8% - val-roc: 0.7194 - val-ap: 0.6842 (0.1s/epoch)
Epoch 543/1000:Epoch loss: 0.2316 - avg acc: 90.1% - val-roc: 0.7347 - val-ap: 0.7052 (0.1s/epoch)
Epoch 544/1000:Epoch loss: 0.2099 - avg acc: 90.8% - val-roc: 0.7755 - val-ap: 0.8084 (0.1s/epoch)
Epoch 545/1000:Epoch loss: 0.1907 - avg acc: 90.1% - val-roc: 0.7806 - val-ap: 0.8101 (0.1s/epoch)
Epoch 546/1000:Epoch loss: 0.3093 - avg acc: 89.3% - val-roc: 0.7857 - val-ap: 0.8244 (0.1s/epoch)
Epoch 547/1000:Epoch loss: 0.2442 - avg acc: 91.6% - val-roc: 0.6990 - val-ap: 0.6699 (0.1s/epoch)
Epoch 548/1000:Epoch loss: 0.2246 - avg acc: 90.8% - val-roc: 0.6684 - val-ap: 0.6453 (0.1s/epoch)
Epoch 549/1000:Epoch loss: 0.2398 - avg acc: 90.8% - val-roc: 0.6531 - val-ap: 0.6294 (0.1s/epoch)
Epoch 550/1000:Epoch loss: 0.2500 - avg acc: 89.3% - val-roc: 0.6531 - val-ap: 0.6297 (0.1s/epoch)
Epoch 551/1000:Epoch loss: 0.2526 - avg acc: 90.1% - val-roc: 0.6888 - val-ap: 0.6552 (0.1s/epoch)
Epoch 552/1000:Epoch loss: 0.2704 - avg acc: 84.0% - val-roc: 0.6429 - val-ap: 0.6037 (0.1s/epoch)
Epoch 553/1000:Epoch loss: 0.2409 - avg acc: 90.1% - val-roc: 0.6378 - val-ap: 0.6020 (0.1s/epoch)
Epoch 554/1000:Epoch loss: 0.2105 - avg acc: 89.3% - val-roc: 0.6276 - val-ap: 0.5952 (0.1s/epoch)
Epoch 555/1000:Epoch loss: 0.2274 - avg acc: 88.5% - val-roc: 0.6735 - val-ap: 0.6953 (0.1s/epoch)
Epoch 556/1000:Epoch loss: 0.2622 - avg acc: 90.1% - val-roc: 0.7398 - val-ap: 0.7562 (0.1s/epoch)
Epoch 557/1000:Epoch loss: 0.2616 - avg acc: 90.1% - val-roc: 0.7398 - val-ap: 0.7035 (0.1s/epoch)
Epoch 558/1000:Epoch loss: 0.2494 - avg acc: 90.1% - val-roc: 0.7245 - val-ap: 0.6907 (0.1s/epoch)
Epoch 559/1000:Epoch loss: 0.2120 - avg acc: 90.8% - val-roc: 0.7092 - val-ap: 0.6772 (0.1s/epoch)
Epoch 560/1000:Epoch loss: 0.1872 - avg acc: 90.1% - val-roc: 0.6582 - val-ap: 0.6448 (0.1s/epoch)
Epoch 561/1000:Epoch loss: 0.2091 - avg acc: 90.8% - val-roc: 0.6429 - val-ap: 0.6332 (0.1s/epoch)
Epoch 562/1000:Epoch loss: 0.2062 - avg acc: 89.3% - val-roc: 0.6224 - val-ap: 0.6230 (0.1s/epoch)
Epoch 563/1000:Epoch loss: 0.2412 - avg acc: 90.8% - val-roc: 0.6684 - val-ap: 0.6592 (0.1s/epoch)
Epoch 564/1000:Epoch loss: 0.2802 - avg acc: 89.3% - val-roc: 0.6480 - val-ap: 0.6355 (0.1s/epoch)
Epoch 565/1000:Epoch loss: 0.2160 - avg acc: 90.8% - val-roc: 0.6480 - val-ap: 0.6325 (0.1s/epoch)
Epoch 566/1000:Epoch loss: 0.2430 - avg acc: 88.5% - val-roc: 0.6276 - val-ap: 0.6216 (0.1s/epoch)
Epoch 567/1000:Epoch loss: 0.3099 - avg acc: 90.1% - val-roc: 0.6633 - val-ap: 0.6500 (0.1s/epoch)
Epoch 568/1000:Epoch loss: 0.2320 - avg acc: 89.3% - val-roc: 0.7143 - val-ap: 0.7706 (0.1s/epoch)
Epoch 569/1000:Epoch loss: 0.2244 - avg acc: 90.1% - val-roc: 0.6276 - val-ap: 0.6585 (0.1s/epoch)
Epoch 570/1000:Epoch loss: 0.2596 - avg acc: 90.8% - val-roc: 0.6327 - val-ap: 0.6223 (0.1s/epoch)
Epoch 571/1000:Epoch loss: 0.2279 - avg acc: 87.8% - val-roc: 0.5918 - val-ap: 0.6041 (0.1s/epoch)
Epoch 572/1000:Epoch loss: 0.2285 - avg acc: 90.8% - val-roc: 0.6276 - val-ap: 0.6370 (0.1s/epoch)
Epoch 573/1000:Epoch loss: 0.1732 - avg acc: 89.3% - val-roc: 0.6684 - val-ap: 0.7247 (0.1s/epoch)
Epoch 574/1000:Epoch loss: 0.2067 - avg acc: 90.1% - val-roc: 0.6735 - val-ap: 0.7264 (0.1s/epoch)
Epoch 575/1000:Epoch loss: 0.2128 - avg acc: 89.3% - val-roc: 0.6531 - val-ap: 0.6475 (0.1s/epoch)
Epoch 576/1000:Epoch loss: 0.2483 - avg acc: 89.3% - val-roc: 0.6327 - val-ap: 0.6312 (0.1s/epoch)
Epoch 577/1000:Epoch loss: 0.2260 - avg acc: 89.3% - val-roc: 0.6735 - val-ap: 0.6592 (0.1s/epoch)
Epoch 578/1000:Epoch loss: 0.2164 - avg acc: 90.8% - val-roc: 0.6582 - val-ap: 0.6431 (0.1s/epoch)
Epoch 579/1000:Epoch loss: 0.1933 - avg acc: 90.8% - val-roc: 0.6684 - val-ap: 0.6420 (0.1s/epoch)
Epoch 580/1000:Epoch loss: 0.2738 - avg acc: 90.8% - val-roc: 0.6939 - val-ap: 0.6575 (0.1s/epoch)
Epoch 581/1000:Epoch loss: 0.1851 - avg acc: 90.8% - val-roc: 0.6837 - val-ap: 0.6516 (0.1s/epoch)
Epoch 582/1000:Epoch loss: 0.2050 - avg acc: 90.1% - val-roc: 0.6582 - val-ap: 0.6419 (0.1s/epoch)
Epoch 583/1000:Epoch loss: 0.2345 - avg acc: 90.1% - val-roc: 0.6633 - val-ap: 0.6467 (0.1s/epoch)
Epoch 584/1000:Epoch loss: 0.2223 - avg acc: 90.8% - val-roc: 0.6429 - val-ap: 0.6338 (0.1s/epoch)
Epoch 585/1000:Epoch loss: 0.2357 - avg acc: 90.8% - val-roc: 0.6327 - val-ap: 0.6279 (0.1s/epoch)
Epoch 586/1000:Epoch loss: 0.2202 - avg acc: 90.8% - val-roc: 0.7245 - val-ap: 0.7017 (0.1s/epoch)
Epoch 587/1000:Epoch loss: 0.2191 - avg acc: 90.8% - val-roc: 0.7296 - val-ap: 0.7022 (0.1s/epoch)
Epoch 588/1000:Epoch loss: 0.2144 - avg acc: 90.8% - val-roc: 0.6990 - val-ap: 0.6853 (0.1s/epoch)
Epoch 589/1000:Epoch loss: 0.1674 - avg acc: 90.8% - val-roc: 0.6939 - val-ap: 0.6839 (0.1s/epoch)
Epoch 590/1000:Epoch loss: 0.2077 - avg acc: 90.1% - val-roc: 0.6786 - val-ap: 0.6686 (0.1s/epoch)
Epoch 591/1000:Epoch loss: 0.1716 - avg acc: 90.8% - val-roc: 0.6582 - val-ap: 0.6542 (0.1s/epoch)
Epoch 592/1000:Epoch loss: 0.2361 - avg acc: 91.6% - val-roc: 0.6378 - val-ap: 0.6346 (0.1s/epoch)
Epoch 593/1000:Epoch loss: 0.2450 - avg acc: 90.8% - val-roc: 0.6480 - val-ap: 0.6413 (0.1s/epoch)
Epoch 594/1000:Epoch loss: 0.2024 - avg acc: 90.8% - val-roc: 0.6786 - val-ap: 0.6624 (0.1s/epoch)
Epoch 595/1000:Epoch loss: 0.2102 - avg acc: 90.8% - val-roc: 0.6837 - val-ap: 0.6625 (0.1s/epoch)
Epoch 596/1000:Epoch loss: 0.2048 - avg acc: 90.1% - val-roc: 0.7194 - val-ap: 0.7000 (0.1s/epoch)
Epoch 597/1000:Epoch loss: 0.2236 - avg acc: 90.1% - val-roc: 0.6990 - val-ap: 0.6786 (0.1s/epoch)
Epoch 598/1000:Epoch loss: 0.2308 - avg acc: 90.1% - val-roc: 0.7143 - val-ap: 0.6950 (0.1s/epoch)
Epoch 599/1000:Epoch loss: 0.2632 - avg acc: 90.8% - val-roc: 0.6837 - val-ap: 0.6692 (0.1s/epoch)
Epoch 600/1000:Epoch loss: 0.2060 - avg acc: 90.1% - val-roc: 0.6735 - val-ap: 0.6615 (0.1s/epoch)
Epoch 601/1000:Epoch loss: 0.1981 - avg acc: 90.8% - val-roc: 0.7296 - val-ap: 0.6923 (0.1s/epoch)
Epoch 602/1000:Epoch loss: 0.1953 - avg acc: 88.5% - val-roc: 0.7602 - val-ap: 0.7524 (0.1s/epoch)
Epoch 603/1000:Epoch loss: 0.2763 - avg acc: 90.1% - val-roc: 0.7806 - val-ap: 0.7886 (0.1s/epoch)
Epoch 604/1000:Epoch loss: 0.2249 - avg acc: 90.8% - val-roc: 0.7806 - val-ap: 0.8069 (0.1s/epoch)
Epoch 605/1000:Epoch loss: 0.2168 - avg acc: 90.8% - val-roc: 0.7755 - val-ap: 0.8095 (0.1s/epoch)
Epoch 606/1000:Epoch loss: 0.1994 - avg acc: 90.8% - val-roc: 0.7500 - val-ap: 0.7719 (0.1s/epoch)
Epoch 607/1000:Epoch loss: 0.2469 - avg acc: 90.8% - val-roc: 0.6990 - val-ap: 0.7379 (0.1s/epoch)
Epoch 608/1000:Epoch loss: 0.1716 - avg acc: 90.1% - val-roc: 0.7245 - val-ap: 0.7698 (0.1s/epoch)
Epoch 609/1000:Epoch loss: 0.2592 - avg acc: 89.3% - val-roc: 0.7347 - val-ap: 0.7602 (0.1s/epoch)
Epoch 610/1000:Epoch loss: 0.2183 - avg acc: 89.3% - val-roc: 0.7602 - val-ap: 0.7800 (0.1s/epoch)
Epoch 611/1000:Epoch loss: 0.2185 - avg acc: 90.1% - val-roc: 0.7653 - val-ap: 0.7859 (0.2s/epoch)
Epoch 612/1000:Epoch loss: 0.2101 - avg acc: 90.8% - val-roc: 0.6684 - val-ap: 0.6446 (0.1s/epoch)
Epoch 613/1000:Epoch loss: 0.2101 - avg acc: 90.8% - val-roc: 0.6429 - val-ap: 0.6292 (0.1s/epoch)
Epoch 614/1000:Epoch loss: 0.1892 - avg acc: 90.8% - val-roc: 0.6939 - val-ap: 0.6656 (0.1s/epoch)
Epoch 615/1000:Epoch loss: 0.2013 - avg acc: 90.8% - val-roc: 0.7704 - val-ap: 0.7401 (0.1s/epoch)
Epoch 616/1000:Epoch loss: 0.2190 - avg acc: 90.1% - val-roc: 0.7806 - val-ap: 0.7778 (0.1s/epoch)
Epoch 617/1000:Epoch loss: 0.2089 - avg acc: 90.1% - val-roc: 0.7806 - val-ap: 0.7766 (0.1s/epoch)
Epoch 618/1000:Epoch loss: 0.2020 - avg acc: 91.6% - val-roc: 0.7602 - val-ap: 0.7241 (0.1s/epoch)
Epoch 619/1000:Epoch loss: 0.2280 - avg acc: 90.8% - val-roc: 0.7857 - val-ap: 0.7253 (0.1s/epoch)
Epoch 620/1000:Epoch loss: 0.1914 - avg acc: 90.8% - val-roc: 0.8316 - val-ap: 0.8008 (0.1s/epoch)
Epoch 621/1000:Epoch loss: 0.2079 - avg acc: 90.8% - val-roc: 0.8163 - val-ap: 0.8300 (0.1s/epoch)
Epoch 622/1000:Epoch loss: 0.1721 - avg acc: 91.6% - val-roc: 0.8265 - val-ap: 0.8352 (0.1s/epoch)
Epoch 623/1000:Epoch loss: 0.1921 - avg acc: 74.8% - val-roc: 0.8010 - val-ap: 0.8160 (0.1s/epoch)
Epoch 624/1000:Epoch loss: 0.1982 - avg acc: 90.8% - val-roc: 0.8265 - val-ap: 0.8472 (0.1s/epoch)
Epoch 625/1000:Epoch loss: 0.2255 - avg acc: 90.1% - val-roc: 0.7857 - val-ap: 0.7898 (0.1s/epoch)
Epoch 626/1000:Epoch loss: 0.2988 - avg acc: 90.8% - val-roc: 0.7551 - val-ap: 0.7453 (0.1s/epoch)
Epoch 627/1000:Epoch loss: 0.1856 - avg acc: 91.6% - val-roc: 0.7194 - val-ap: 0.6659 (0.1s/epoch)
Epoch 628/1000:Epoch loss: 0.1984 - avg acc: 91.6% - val-roc: 0.7449 - val-ap: 0.6887 (0.1s/epoch)
Epoch 629/1000:Epoch loss: 0.2019 - avg acc: 91.6% - val-roc: 0.7449 - val-ap: 0.6937 (0.1s/epoch)
Epoch 630/1000:Epoch loss: 0.2196 - avg acc: 90.1% - val-roc: 0.7398 - val-ap: 0.6931 (0.1s/epoch)
Epoch 631/1000:Epoch loss: 0.2301 - avg acc: 89.3% - val-roc: 0.7347 - val-ap: 0.6925 (0.1s/epoch)
Epoch 632/1000:Epoch loss: 0.1962 - avg acc: 90.8% - val-roc: 0.7398 - val-ap: 0.6925 (0.1s/epoch)
Epoch 633/1000:Epoch loss: 0.2144 - avg acc: 84.0% - val-roc: 0.6990 - val-ap: 0.6519 (0.1s/epoch)
Epoch 634/1000:Epoch loss: 0.2135 - avg acc: 90.8% - val-roc: 0.7704 - val-ap: 0.7034 (0.2s/epoch)
Epoch 635/1000:Epoch loss: 0.2226 - avg acc: 90.1% - val-roc: 0.7755 - val-ap: 0.7566 (0.1s/epoch)
Epoch 636/1000:Epoch loss: 0.2085 - avg acc: 90.8% - val-roc: 0.7653 - val-ap: 0.7139 (0.1s/epoch)
Epoch 637/1000:Epoch loss: 0.1853 - avg acc: 84.0% - val-roc: 0.7500 - val-ap: 0.7029 (0.1s/epoch)
Epoch 638/1000:Epoch loss: 0.2213 - avg acc: 90.8% - val-roc: 0.7347 - val-ap: 0.6907 (0.1s/epoch)
Epoch 639/1000:Epoch loss: 0.2022 - avg acc: 91.6% - val-roc: 0.7245 - val-ap: 0.6964 (0.1s/epoch)
Epoch 640/1000:Epoch loss: 0.2124 - avg acc: 90.8% - val-roc: 0.7143 - val-ap: 0.6778 (0.1s/epoch)
Epoch 641/1000:Epoch loss: 0.1792 - avg acc: 90.8% - val-roc: 0.7602 - val-ap: 0.7354 (0.1s/epoch)
Epoch 642/1000:Epoch loss: 0.2076 - avg acc: 90.8% - val-roc: 0.7857 - val-ap: 0.7516 (0.1s/epoch)
Epoch 643/1000:Epoch loss: 0.2037 - avg acc: 84.0% - val-roc: 0.7602 - val-ap: 0.7042 (0.1s/epoch)
Epoch 644/1000:Epoch loss: 0.1709 - avg acc: 90.8% - val-roc: 0.7908 - val-ap: 0.7713 (0.1s/epoch)
Epoch 645/1000:Epoch loss: 0.2696 - avg acc: 90.1% - val-roc: 0.8010 - val-ap: 0.8055 (0.1s/epoch)
Epoch 646/1000:Epoch loss: 0.2187 - avg acc: 90.8% - val-roc: 0.7602 - val-ap: 0.7015 (0.1s/epoch)
Epoch 647/1000:Epoch loss: 0.1938 - avg acc: 91.6% - val-roc: 0.7551 - val-ap: 0.6799 (0.1s/epoch)
Epoch 648/1000:Epoch loss: 0.2293 - avg acc: 90.8% - val-roc: 0.7449 - val-ap: 0.6785 (0.1s/epoch)
Epoch 649/1000:Epoch loss: 0.2204 - avg acc: 91.6% - val-roc: 0.7755 - val-ap: 0.6972 (0.1s/epoch)
Epoch 650/1000:Epoch loss: 0.2449 - avg acc: 83.2% - val-roc: 0.7551 - val-ap: 0.6940 (0.1s/epoch)
Epoch 651/1000:Epoch loss: 0.2306 - avg acc: 92.4% - val-roc: 0.7806 - val-ap: 0.7183 (0.1s/epoch)
Epoch 652/1000:Epoch loss: 0.1892 - avg acc: 83.2% - val-roc: 0.8010 - val-ap: 0.8080 (0.1s/epoch)
Epoch 653/1000:Epoch loss: 0.2012 - avg acc: 90.8% - val-roc: 0.8418 - val-ap: 0.8622 (0.1s/epoch)
Epoch 654/1000:Epoch loss: 0.2668 - avg acc: 90.1% - val-roc: 0.8878 - val-ap: 0.9107 (0.1s/epoch)
Epoch 655/1000:Epoch loss: 0.2834 - avg acc: 89.3% - val-roc: 0.8265 - val-ap: 0.8167 (0.1s/epoch)
Epoch 656/1000:Epoch loss: 0.2635 - avg acc: 93.1% - val-roc: 0.7959 - val-ap: 0.7589 (0.1s/epoch)
Epoch 657/1000:Epoch loss: 0.2869 - avg acc: 87.8% - val-roc: 0.8265 - val-ap: 0.8316 (0.1s/epoch)
Epoch 658/1000:Epoch loss: 0.2152 - avg acc: 91.6% - val-roc: 0.8367 - val-ap: 0.8472 (0.1s/epoch)
Epoch 659/1000:Epoch loss: 0.1602 - avg acc: 88.5% - val-roc: 0.8061 - val-ap: 0.8172 (0.1s/epoch)
Epoch 660/1000:Epoch loss: 0.1683 - avg acc: 88.5% - val-roc: 0.7959 - val-ap: 0.7995 (0.1s/epoch)
Epoch 661/1000:Epoch loss: 0.1832 - avg acc: 88.5% - val-roc: 0.7959 - val-ap: 0.8002 (0.1s/epoch)
Epoch 662/1000:Epoch loss: 0.1687 - avg acc: 88.5% - val-roc: 0.7755 - val-ap: 0.7904 (0.1s/epoch)
Epoch 663/1000:Epoch loss: 0.2049 - avg acc: 89.3% - val-roc: 0.7806 - val-ap: 0.7647 (0.1s/epoch)
Epoch 664/1000:Epoch loss: 0.2085 - avg acc: 82.4% - val-roc: 0.7959 - val-ap: 0.7608 (0.1s/epoch)
Epoch 665/1000:Epoch loss: 0.2146 - avg acc: 89.3% - val-roc: 0.8520 - val-ap: 0.8439 (0.1s/epoch)
Epoch 666/1000:Epoch loss: 0.1821 - avg acc: 87.0% - val-roc: 0.8316 - val-ap: 0.8342 (0.1s/epoch)
Epoch 667/1000:Epoch loss: 0.2236 - avg acc: 93.1% - val-roc: 0.7857 - val-ap: 0.7606 (0.1s/epoch)
Epoch 668/1000:Epoch loss: 0.2359 - avg acc: 82.4% - val-roc: 0.7551 - val-ap: 0.7414 (0.1s/epoch)
Epoch 669/1000:Epoch loss: 0.1765 - avg acc: 93.9% - val-roc: 0.8163 - val-ap: 0.8046 (0.1s/epoch)
Epoch 670/1000:Epoch loss: 0.1871 - avg acc: 90.8% - val-roc: 0.7704 - val-ap: 0.7057 (0.1s/epoch)
Epoch 671/1000:Epoch loss: 0.1560 - avg acc: 91.6% - val-roc: 0.7806 - val-ap: 0.7155 (0.1s/epoch)
Epoch 672/1000:Epoch loss: 0.1855 - avg acc: 88.5% - val-roc: 0.7653 - val-ap: 0.7013 (0.1s/epoch)
Epoch 673/1000:Epoch loss: 0.1557 - avg acc: 90.8% - val-roc: 0.7653 - val-ap: 0.6996 (0.1s/epoch)
Epoch 674/1000:Epoch loss: 0.2089 - avg acc: 90.1% - val-roc: 0.7296 - val-ap: 0.6721 (0.1s/epoch)
Epoch 675/1000:Epoch loss: 0.1816 - avg acc: 90.8% - val-roc: 0.6837 - val-ap: 0.6551 (0.1s/epoch)
Epoch 676/1000:Epoch loss: 0.1537 - avg acc: 93.1% - val-roc: 0.6837 - val-ap: 0.6546 (0.1s/epoch)
Epoch 677/1000:Epoch loss: 0.1417 - avg acc: 91.6% - val-roc: 0.6990 - val-ap: 0.6685 (0.1s/epoch)
Epoch 678/1000:Epoch loss: 0.1823 - avg acc: 92.4% - val-roc: 0.7449 - val-ap: 0.7053 (0.1s/epoch)
Epoch 679/1000:Epoch loss: 0.1515 - avg acc: 93.9% - val-roc: 0.7194 - val-ap: 0.7107 (0.1s/epoch)
Epoch 680/1000:Epoch loss: 0.2435 - avg acc: 84.0% - val-roc: 0.6990 - val-ap: 0.6958 (0.1s/epoch)
Epoch 681/1000:Epoch loss: 0.2240 - avg acc: 91.6% - val-roc: 0.7679 - val-ap: 0.7428 (0.1s/epoch)
Epoch 682/1000:Epoch loss: 0.2493 - avg acc: 82.4% - val-roc: 0.7449 - val-ap: 0.6914 (0.1s/epoch)
Epoch 683/1000:Epoch loss: 0.2110 - avg acc: 93.1% - val-roc: 0.7500 - val-ap: 0.6880 (0.1s/epoch)
Epoch 684/1000:Epoch loss: 0.1751 - avg acc: 90.8% - val-roc: 0.7245 - val-ap: 0.6543 (0.1s/epoch)
Epoch 685/1000:Epoch loss: 0.1872 - avg acc: 90.8% - val-roc: 0.7092 - val-ap: 0.6464 (0.1s/epoch)
Epoch 686/1000:Epoch loss: 0.1578 - avg acc: 90.8% - val-roc: 0.7551 - val-ap: 0.6772 (0.1s/epoch)
Epoch 687/1000:Epoch loss: 0.1906 - avg acc: 92.4% - val-roc: 0.7704 - val-ap: 0.7052 (0.1s/epoch)
Epoch 688/1000:Epoch loss: 0.2028 - avg acc: 91.6% - val-roc: 0.7653 - val-ap: 0.7010 (0.1s/epoch)
Epoch 689/1000:Epoch loss: 0.1869 - avg acc: 90.8% - val-roc: 0.7296 - val-ap: 0.6665 (0.1s/epoch)
Epoch 690/1000:Epoch loss: 0.2368 - avg acc: 93.1% - val-roc: 0.7347 - val-ap: 0.6680 (0.1s/epoch)
Epoch 691/1000:Epoch loss: 0.1954 - avg acc: 91.6% - val-roc: 0.7143 - val-ap: 0.6601 (0.1s/epoch)
Epoch 692/1000:Epoch loss: 0.2368 - avg acc: 90.1% - val-roc: 0.6990 - val-ap: 0.6622 (0.1s/epoch)
Epoch 693/1000:Epoch loss: 0.1912 - avg acc: 93.1% - val-roc: 0.7602 - val-ap: 0.7096 (0.1s/epoch)
Epoch 694/1000:Epoch loss: 0.2085 - avg acc: 93.1% - val-roc: 0.7653 - val-ap: 0.7149 (0.1s/epoch)
Epoch 695/1000:Epoch loss: 0.1788 - avg acc: 92.4% - val-roc: 0.7551 - val-ap: 0.7011 (0.1s/epoch)
Epoch 696/1000:Epoch loss: 0.1415 - avg acc: 91.6% - val-roc: 0.7296 - val-ap: 0.6806 (0.1s/epoch)
Epoch 697/1000:Epoch loss: 0.1828 - avg acc: 93.9% - val-roc: 0.7500 - val-ap: 0.7004 (0.1s/epoch)
Epoch 698/1000:Epoch loss: 0.1799 - avg acc: 91.6% - val-roc: 0.6939 - val-ap: 0.6670 (0.1s/epoch)
Epoch 699/1000:Epoch loss: 0.1280 - avg acc: 93.1% - val-roc: 0.6939 - val-ap: 0.6674 (0.1s/epoch)
Epoch 700/1000:Epoch loss: 0.1554 - avg acc: 89.3% - val-roc: 0.6633 - val-ap: 0.6436 (0.1s/epoch)
Epoch 701/1000:Epoch loss: 0.1601 - avg acc: 93.1% - val-roc: 0.6939 - val-ap: 0.6734 (0.1s/epoch)
Epoch 702/1000:Epoch loss: 0.1552 - avg acc: 90.8% - val-roc: 0.7602 - val-ap: 0.7202 (0.1s/epoch)
Epoch 703/1000:Epoch loss: 0.2019 - avg acc: 93.9% - val-roc: 0.7602 - val-ap: 0.6985 (0.1s/epoch)
Epoch 704/1000:Epoch loss: 0.2289 - avg acc: 84.7% - val-roc: 0.6786 - val-ap: 0.6410 (0.1s/epoch)
Epoch 705/1000:Epoch loss: 0.1906 - avg acc: 91.6% - val-roc: 0.6990 - val-ap: 0.6677 (0.1s/epoch)
Epoch 706/1000:Epoch loss: 0.1746 - avg acc: 92.4% - val-roc: 0.7704 - val-ap: 0.7560 (0.1s/epoch)
Epoch 707/1000:Epoch loss: 0.1644 - avg acc: 90.8% - val-roc: 0.7857 - val-ap: 0.7347 (0.1s/epoch)
Epoch 708/1000:Epoch loss: 0.1694 - avg acc: 89.3% - val-roc: 0.7296 - val-ap: 0.6757 (0.1s/epoch)
Epoch 709/1000:Epoch loss: 0.1328 - avg acc: 90.8% - val-roc: 0.7245 - val-ap: 0.6694 (0.1s/epoch)
Epoch 710/1000:Epoch loss: 0.1808 - avg acc: 90.1% - val-roc: 0.7041 - val-ap: 0.6562 (0.1s/epoch)
Epoch 711/1000:Epoch loss: 0.2091 - avg acc: 90.8% - val-roc: 0.7347 - val-ap: 0.6793 (0.1s/epoch)
Epoch 712/1000:Epoch loss: 0.2119 - avg acc: 88.5% - val-roc: 0.7194 - val-ap: 0.6667 (0.1s/epoch)
Epoch 713/1000:Epoch loss: 0.1659 - avg acc: 84.7% - val-roc: 0.7347 - val-ap: 0.6803 (0.1s/epoch)
Epoch 714/1000:Epoch loss: 0.1974 - avg acc: 83.2% - val-roc: 0.7500 - val-ap: 0.7031 (0.1s/epoch)
Epoch 715/1000:Epoch loss: 0.1724 - avg acc: 86.3% - val-roc: 0.8112 - val-ap: 0.8063 (0.1s/epoch)
Epoch 716/1000:Epoch loss: 0.1511 - avg acc: 91.6% - val-roc: 0.8367 - val-ap: 0.8216 (0.1s/epoch)
Epoch 717/1000:Epoch loss: 0.1860 - avg acc: 88.5% - val-roc: 0.8316 - val-ap: 0.8198 (0.1s/epoch)
Epoch 718/1000:Epoch loss: 0.2078 - avg acc: 89.3% - val-roc: 0.8367 - val-ap: 0.8381 (0.1s/epoch)
Epoch 719/1000:Epoch loss: 0.1555 - avg acc: 80.2% - val-roc: 0.8010 - val-ap: 0.7899 (0.1s/epoch)
Epoch 720/1000:Epoch loss: 0.2090 - avg acc: 91.6% - val-roc: 0.8418 - val-ap: 0.8003 (0.1s/epoch)
Epoch 721/1000:Epoch loss: 0.1781 - avg acc: 88.5% - val-roc: 0.8571 - val-ap: 0.8454 (0.1s/epoch)
Epoch 722/1000:Epoch loss: 0.1576 - avg acc: 90.8% - val-roc: 0.8520 - val-ap: 0.8396 (0.1s/epoch)
Epoch 723/1000:Epoch loss: 0.1710 - avg acc: 94.7% - val-roc: 0.8061 - val-ap: 0.7530 (0.1s/epoch)
Epoch 724/1000:Epoch loss: 0.2096 - avg acc: 81.7% - val-roc: 0.8163 - val-ap: 0.7830 (0.1s/epoch)
Epoch 725/1000:Epoch loss: 0.1828 - avg acc: 94.7% - val-roc: 0.8214 - val-ap: 0.7939 (0.1s/epoch)
Epoch 726/1000:Epoch loss: 0.1724 - avg acc: 92.4% - val-roc: 0.8163 - val-ap: 0.8007 (0.1s/epoch)
Epoch 727/1000:Epoch loss: 0.1767 - avg acc: 80.9% - val-roc: 0.7857 - val-ap: 0.7753 (0.1s/epoch)
Epoch 728/1000:Epoch loss: 0.2085 - avg acc: 93.9% - val-roc: 0.7857 - val-ap: 0.7106 (0.1s/epoch)
Epoch 729/1000:Epoch loss: 0.1575 - avg acc: 90.1% - val-roc: 0.7500 - val-ap: 0.6865 (0.1s/epoch)
Epoch 730/1000:Epoch loss: 0.1989 - avg acc: 90.8% - val-roc: 0.7704 - val-ap: 0.7038 (0.1s/epoch)
Epoch 731/1000:Epoch loss: 0.1855 - avg acc: 93.9% - val-roc: 0.7755 - val-ap: 0.7013 (0.1s/epoch)
Epoch 732/1000:Epoch loss: 0.1783 - avg acc: 84.7% - val-roc: 0.7398 - val-ap: 0.7348 (0.1s/epoch)
Epoch 733/1000:Epoch loss: 0.1578 - avg acc: 90.8% - val-roc: 0.7653 - val-ap: 0.7730 (0.1s/epoch)
Epoch 734/1000:Epoch loss: 0.1279 - avg acc: 89.3% - val-roc: 0.7551 - val-ap: 0.7735 (0.1s/epoch)
Epoch 735/1000:Epoch loss: 0.1386 - avg acc: 90.1% - val-roc: 0.8010 - val-ap: 0.8186 (0.1s/epoch)
Epoch 736/1000:Epoch loss: 0.1711 - avg acc: 90.8% - val-roc: 0.7755 - val-ap: 0.7443 (0.1s/epoch)
Epoch 737/1000:Epoch loss: 0.2016 - avg acc: 91.6% - val-roc: 0.7551 - val-ap: 0.6841 (0.1s/epoch)
Epoch 738/1000:Epoch loss: 0.1732 - avg acc: 91.6% - val-roc: 0.8061 - val-ap: 0.8093 (0.1s/epoch)
Epoch 739/1000:Epoch loss: 0.1455 - avg acc: 91.6% - val-roc: 0.8367 - val-ap: 0.8603 (0.1s/epoch)
Epoch 740/1000:Epoch loss: 0.1503 - avg acc: 89.3% - val-roc: 0.8469 - val-ap: 0.8857 (0.1s/epoch)
Epoch 741/1000:Epoch loss: 0.2351 - avg acc: 88.5% - val-roc: 0.8571 - val-ap: 0.8938 (0.1s/epoch)
Epoch 742/1000:Epoch loss: 0.2093 - avg acc: 90.1% - val-roc: 0.7959 - val-ap: 0.7904 (0.1s/epoch)
Epoch 743/1000:Epoch loss: 0.1752 - avg acc: 91.6% - val-roc: 0.7602 - val-ap: 0.7292 (0.1s/epoch)
Epoch 744/1000:Epoch loss: 0.2069 - avg acc: 83.2% - val-roc: 0.7500 - val-ap: 0.7399 (0.1s/epoch)
Epoch 745/1000:Epoch loss: 0.1835 - avg acc: 90.1% - val-roc: 0.8061 - val-ap: 0.8338 (0.1s/epoch)
Epoch 746/1000:Epoch loss: 0.2143 - avg acc: 90.8% - val-roc: 0.7857 - val-ap: 0.7726 (0.1s/epoch)
Epoch 747/1000:Epoch loss: 0.1644 - avg acc: 88.5% - val-roc: 0.7806 - val-ap: 0.7497 (0.1s/epoch)
Epoch 748/1000:Epoch loss: 0.2204 - avg acc: 93.1% - val-roc: 0.7959 - val-ap: 0.7832 (0.1s/epoch)
Epoch 749/1000:Epoch loss: 0.2251 - avg acc: 90.8% - val-roc: 0.7704 - val-ap: 0.7829 (0.1s/epoch)
Epoch 750/1000:Epoch loss: 0.2318 - avg acc: 90.1% - val-roc: 0.8061 - val-ap: 0.8206 (0.1s/epoch)
Epoch 751/1000:Epoch loss: 0.2062 - avg acc: 93.9% - val-roc: 0.7653 - val-ap: 0.7212 (0.1s/epoch)
Epoch 752/1000:Epoch loss: 0.2279 - avg acc: 64.1% - val-roc: 0.6888 - val-ap: 0.7111 (0.1s/epoch)
Epoch 753/1000:Epoch loss: 0.2200 - avg acc: 91.6% - val-roc: 0.7806 - val-ap: 0.8097 (0.1s/epoch)
Epoch 754/1000:Epoch loss: 0.2151 - avg acc: 90.1% - val-roc: 0.7296 - val-ap: 0.7450 (0.1s/epoch)
Epoch 755/1000:Epoch loss: 0.1156 - avg acc: 95.4% - val-roc: 0.7296 - val-ap: 0.6909 (0.1s/epoch)
Epoch 756/1000:Epoch loss: 0.1872 - avg acc: 89.3% - val-roc: 0.7704 - val-ap: 0.7836 (0.1s/epoch)
Epoch 757/1000:Epoch loss: 0.1772 - avg acc: 96.2% - val-roc: 0.7449 - val-ap: 0.7630 (0.1s/epoch)
Epoch 758/1000:Epoch loss: 0.1566 - avg acc: 92.4% - val-roc: 0.7143 - val-ap: 0.7202 (0.1s/epoch)
Epoch 759/1000:Epoch loss: 0.2269 - avg acc: 81.7% - val-roc: 0.7143 - val-ap: 0.7175 (0.1s/epoch)
Epoch 760/1000:Epoch loss: 0.1660 - avg acc: 92.4% - val-roc: 0.7755 - val-ap: 0.7732 (0.1s/epoch)
Epoch 761/1000:Epoch loss: 0.1846 - avg acc: 93.1% - val-roc: 0.7092 - val-ap: 0.7268 (0.1s/epoch)
Epoch 762/1000:Epoch loss: 0.1507 - avg acc: 90.8% - val-roc: 0.7194 - val-ap: 0.7358 (0.1s/epoch)
Epoch 763/1000:Epoch loss: 0.1912 - avg acc: 93.1% - val-roc: 0.7092 - val-ap: 0.6782 (0.1s/epoch)
Epoch 764/1000:Epoch loss: 0.1609 - avg acc: 90.8% - val-roc: 0.7041 - val-ap: 0.6703 (0.1s/epoch)
Epoch 765/1000:Epoch loss: 0.1490 - avg acc: 94.7% - val-roc: 0.7602 - val-ap: 0.7167 (0.1s/epoch)
Epoch 766/1000:Epoch loss: 0.2025 - avg acc: 94.7% - val-roc: 0.7908 - val-ap: 0.8061 (0.1s/epoch)
Epoch 767/1000:Epoch loss: 0.1557 - avg acc: 94.7% - val-roc: 0.7500 - val-ap: 0.7012 (0.1s/epoch)
Epoch 768/1000:Epoch loss: 0.1714 - avg acc: 93.1% - val-roc: 0.7398 - val-ap: 0.6891 (0.1s/epoch)
Epoch 769/1000:Epoch loss: 0.1585 - avg acc: 93.9% - val-roc: 0.7857 - val-ap: 0.7710 (0.1s/epoch)
Epoch 770/1000:Epoch loss: 0.1447 - avg acc: 92.4% - val-roc: 0.8112 - val-ap: 0.8284 (0.1s/epoch)
Epoch 771/1000:Epoch loss: 0.1522 - avg acc: 92.4% - val-roc: 0.8163 - val-ap: 0.8306 (0.1s/epoch)
Epoch 772/1000:Epoch loss: 0.1506 - avg acc: 93.9% - val-roc: 0.8316 - val-ap: 0.8520 (0.1s/epoch)
Epoch 773/1000:Epoch loss: 0.1569 - avg acc: 90.8% - val-roc: 0.8673 - val-ap: 0.9088 (0.1s/epoch)
Epoch 774/1000:Epoch loss: 0.1752 - avg acc: 93.1% - val-roc: 0.8827 - val-ap: 0.9191 (0.1s/epoch)
Epoch 775/1000:Epoch loss: 0.1604 - avg acc: 92.4% - val-roc: 0.8316 - val-ap: 0.8610 (0.1s/epoch)
Epoch 776/1000:Epoch loss: 0.2128 - avg acc: 93.1% - val-roc: 0.8061 - val-ap: 0.8153 (0.1s/epoch)
Epoch 777/1000:Epoch loss: 0.1764 - avg acc: 93.1% - val-roc: 0.8163 - val-ap: 0.8345 (0.1s/epoch)
Epoch 778/1000:Epoch loss: 0.1568 - avg acc: 92.4% - val-roc: 0.8061 - val-ap: 0.8281 (0.1s/epoch)
Epoch 779/1000:Epoch loss: 0.1815 - avg acc: 93.1% - val-roc: 0.7908 - val-ap: 0.8184 (0.1s/epoch)
Epoch 780/1000:Epoch loss: 0.1887 - avg acc: 93.9% - val-roc: 0.7806 - val-ap: 0.8150 (0.1s/epoch)
Epoch 781/1000:Epoch loss: 0.1610 - avg acc: 91.6% - val-roc: 0.7347 - val-ap: 0.7608 (0.1s/epoch)
Epoch 782/1000:Epoch loss: 0.2333 - avg acc: 93.9% - val-roc: 0.7755 - val-ap: 0.7893 (0.1s/epoch)
Epoch 783/1000:Epoch loss: 0.1274 - avg acc: 90.1% - val-roc: 0.7704 - val-ap: 0.7906 (0.1s/epoch)
Epoch 784/1000:Epoch loss: 0.1611 - avg acc: 93.1% - val-roc: 0.7653 - val-ap: 0.7730 (0.1s/epoch)
Epoch 785/1000:Epoch loss: 0.1782 - avg acc: 89.3% - val-roc: 0.7449 - val-ap: 0.7372 (0.1s/epoch)
Epoch 786/1000:Epoch loss: 0.1512 - avg acc: 93.1% - val-roc: 0.7704 - val-ap: 0.7340 (0.1s/epoch)
Epoch 787/1000:Epoch loss: 0.2299 - avg acc: 91.6% - val-roc: 0.7755 - val-ap: 0.7362 (0.1s/epoch)
Epoch 788/1000:Epoch loss: 0.1890 - avg acc: 88.5% - val-roc: 0.7704 - val-ap: 0.7334 (0.1s/epoch)
Epoch 789/1000:Epoch loss: 0.1497 - avg acc: 92.4% - val-roc: 0.7704 - val-ap: 0.7363 (0.1s/epoch)
Epoch 790/1000:Epoch loss: 0.2157 - avg acc: 92.4% - val-roc: 0.7959 - val-ap: 0.7642 (0.1s/epoch)
Epoch 791/1000:Epoch loss: 0.1275 - avg acc: 91.6% - val-roc: 0.8316 - val-ap: 0.8021 (0.1s/epoch)
Epoch 792/1000:Epoch loss: 0.1619 - avg acc: 94.7% - val-roc: 0.8163 - val-ap: 0.7805 (0.1s/epoch)
Epoch 793/1000:Epoch loss: 0.1611 - avg acc: 93.1% - val-roc: 0.8163 - val-ap: 0.7841 (0.1s/epoch)
Epoch 794/1000:Epoch loss: 0.1157 - avg acc: 91.6% - val-roc: 0.8418 - val-ap: 0.8060 (0.1s/epoch)
Epoch 795/1000:Epoch loss: 0.1707 - avg acc: 93.9% - val-roc: 0.8673 - val-ap: 0.8453 (0.1s/epoch)
Epoch 796/1000:Epoch loss: 0.1967 - avg acc: 90.1% - val-roc: 0.8673 - val-ap: 0.8689 (0.1s/epoch)
Epoch 797/1000:Epoch loss: 0.1869 - avg acc: 93.9% - val-roc: 0.8265 - val-ap: 0.8189 (0.1s/epoch)
Epoch 798/1000:Epoch loss: 0.1980 - avg acc: 91.6% - val-roc: 0.8010 - val-ap: 0.8037 (0.1s/epoch)
Epoch 799/1000:Epoch loss: 0.1428 - avg acc: 93.9% - val-roc: 0.8418 - val-ap: 0.8429 (0.1s/epoch)
Epoch 800/1000:Epoch loss: 0.1186 - avg acc: 89.3% - val-roc: 0.8469 - val-ap: 0.8565 (0.1s/epoch)
Epoch 801/1000:Epoch loss: 0.1536 - avg acc: 94.7% - val-roc: 0.8469 - val-ap: 0.8463 (0.1s/epoch)
Epoch 802/1000:Epoch loss: 0.1772 - avg acc: 93.1% - val-roc: 0.8112 - val-ap: 0.8120 (0.1s/epoch)
Epoch 803/1000:Epoch loss: 0.1612 - avg acc: 89.3% - val-roc: 0.8061 - val-ap: 0.8059 (0.1s/epoch)
Epoch 804/1000:Epoch loss: 0.1598 - avg acc: 91.6% - val-roc: 0.8112 - val-ap: 0.8088 (0.1s/epoch)
Epoch 805/1000:Epoch loss: 0.1328 - avg acc: 93.1% - val-roc: 0.8061 - val-ap: 0.8066 (0.1s/epoch)
Epoch 806/1000:Epoch loss: 0.1515 - avg acc: 92.4% - val-roc: 0.8316 - val-ap: 0.8234 (0.1s/epoch)
Epoch 807/1000:Epoch loss: 0.1201 - avg acc: 93.9% - val-roc: 0.8214 - val-ap: 0.7945 (0.1s/epoch)
Epoch 808/1000:Epoch loss: 0.1708 - avg acc: 90.8% - val-roc: 0.7857 - val-ap: 0.7239 (0.1s/epoch)
Epoch 809/1000:Epoch loss: 0.1798 - avg acc: 93.9% - val-roc: 0.7551 - val-ap: 0.6909 (0.1s/epoch)
Epoch 810/1000:Epoch loss: 0.1528 - avg acc: 84.7% - val-roc: 0.7500 - val-ap: 0.7259 (0.1s/epoch)
Epoch 811/1000:Epoch loss: 0.1675 - avg acc: 93.1% - val-roc: 0.8163 - val-ap: 0.8161 (0.1s/epoch)
Epoch 812/1000:Epoch loss: 0.1704 - avg acc: 93.1% - val-roc: 0.8010 - val-ap: 0.7505 (0.1s/epoch)
Epoch 813/1000:Epoch loss: 0.1344 - avg acc: 92.4% - val-roc: 0.7449 - val-ap: 0.6995 (0.1s/epoch)
Epoch 814/1000:Epoch loss: 0.1641 - avg acc: 96.2% - val-roc: 0.7602 - val-ap: 0.7067 (0.1s/epoch)
Epoch 815/1000:Epoch loss: 0.1840 - avg acc: 91.6% - val-roc: 0.7653 - val-ap: 0.7469 (0.1s/epoch)
Epoch 816/1000:Epoch loss: 0.1331 - avg acc: 93.1% - val-roc: 0.8929 - val-ap: 0.9229 (0.1s/epoch)
Epoch 817/1000:Epoch loss: 0.1447 - avg acc: 91.6% - val-roc: 0.8980 - val-ap: 0.9280 (0.1s/epoch)
Epoch 818/1000:Epoch loss: 0.1555 - avg acc: 89.3% - val-roc: 0.8673 - val-ap: 0.9004 (0.1s/epoch)
Epoch 819/1000:Epoch loss: 0.1503 - avg acc: 94.7% - val-roc: 0.8112 - val-ap: 0.8353 (0.1s/epoch)
Epoch 820/1000:Epoch loss: 0.1352 - avg acc: 95.4% - val-roc: 0.8010 - val-ap: 0.8182 (0.1s/epoch)
Epoch 821/1000:Epoch loss: 0.2089 - avg acc: 91.6% - val-roc: 0.8214 - val-ap: 0.8467 (0.1s/epoch)
Epoch 822/1000:Epoch loss: 0.2076 - avg acc: 93.1% - val-roc: 0.8520 - val-ap: 0.8631 (0.1s/epoch)
Epoch 823/1000:Epoch loss: 0.1552 - avg acc: 93.1% - val-roc: 0.8469 - val-ap: 0.8308 (0.1s/epoch)
Epoch 824/1000:Epoch loss: 0.1417 - avg acc: 91.6% - val-roc: 0.7959 - val-ap: 0.7774 (0.1s/epoch)
Epoch 825/1000:Epoch loss: 0.1257 - avg acc: 93.9% - val-roc: 0.7653 - val-ap: 0.7476 (0.1s/epoch)
Epoch 826/1000:Epoch loss: 0.1566 - avg acc: 93.9% - val-roc: 0.7806 - val-ap: 0.7543 (0.1s/epoch)
Epoch 827/1000:Epoch loss: 0.1729 - avg acc: 93.9% - val-roc: 0.7959 - val-ap: 0.7680 (0.1s/epoch)
Epoch 828/1000:Epoch loss: 0.1477 - avg acc: 88.5% - val-roc: 0.7704 - val-ap: 0.7825 (0.1s/epoch)
Epoch 829/1000:Epoch loss: 0.1493 - avg acc: 90.1% - val-roc: 0.8061 - val-ap: 0.8226 (0.1s/epoch)
Epoch 830/1000:Epoch loss: 0.1572 - avg acc: 90.8% - val-roc: 0.7653 - val-ap: 0.7655 (0.1s/epoch)
Epoch 831/1000:Epoch loss: 0.1363 - avg acc: 91.6% - val-roc: 0.7449 - val-ap: 0.7229 (0.1s/epoch)
Epoch 832/1000:Epoch loss: 0.1469 - avg acc: 91.6% - val-roc: 0.7551 - val-ap: 0.7201 (0.1s/epoch)
Epoch 833/1000:Epoch loss: 0.1576 - avg acc: 90.8% - val-roc: 0.8112 - val-ap: 0.7732 (0.1s/epoch)
Epoch 834/1000:Epoch loss: 0.2267 - avg acc: 93.9% - val-roc: 0.8367 - val-ap: 0.8191 (0.1s/epoch)
Epoch 835/1000:Epoch loss: 0.1720 - avg acc: 82.4% - val-roc: 0.8214 - val-ap: 0.8311 (0.1s/epoch)
Epoch 836/1000:Epoch loss: 0.1489 - avg acc: 94.7% - val-roc: 0.8214 - val-ap: 0.8364 (0.1s/epoch)
Epoch 837/1000:Epoch loss: 0.1268 - avg acc: 91.6% - val-roc: 0.8010 - val-ap: 0.8206 (0.1s/epoch)
Epoch 838/1000:Epoch loss: 0.1926 - avg acc: 91.6% - val-roc: 0.7755 - val-ap: 0.7852 (0.1s/epoch)
Epoch 839/1000:Epoch loss: 0.1540 - avg acc: 93.9% - val-roc: 0.8163 - val-ap: 0.7996 (0.1s/epoch)
Epoch 840/1000:Epoch loss: 0.1560 - avg acc: 84.0% - val-roc: 0.7806 - val-ap: 0.7789 (0.1s/epoch)
Epoch 841/1000:Epoch loss: 0.2349 - avg acc: 92.4% - val-roc: 0.7653 - val-ap: 0.7654 (0.1s/epoch)
Epoch 842/1000:Epoch loss: 0.1071 - avg acc: 92.4% - val-roc: 0.7602 - val-ap: 0.7605 (0.1s/epoch)
Epoch 843/1000:Epoch loss: 0.1280 - avg acc: 93.1% - val-roc: 0.7959 - val-ap: 0.8192 (0.1s/epoch)
Epoch 844/1000:Epoch loss: 0.1116 - avg acc: 92.4% - val-roc: 0.8112 - val-ap: 0.8537 (0.1s/epoch)
Epoch 845/1000:Epoch loss: 0.1650 - avg acc: 94.7% - val-roc: 0.8214 - val-ap: 0.8427 (0.1s/epoch)
Epoch 846/1000:Epoch loss: 0.2058 - avg acc: 90.1% - val-roc: 0.8061 - val-ap: 0.8143 (0.1s/epoch)
Epoch 847/1000:Epoch loss: 0.1478 - avg acc: 90.8% - val-roc: 0.8112 - val-ap: 0.8206 (0.1s/epoch)
Epoch 848/1000:Epoch loss: 0.1509 - avg acc: 94.7% - val-roc: 0.7806 - val-ap: 0.7598 (0.1s/epoch)
Epoch 849/1000:Epoch loss: 0.1680 - avg acc: 91.6% - val-roc: 0.7755 - val-ap: 0.7535 (0.1s/epoch)
Epoch 850/1000:Epoch loss: 0.1665 - avg acc: 93.9% - val-roc: 0.7755 - val-ap: 0.7135 (0.1s/epoch)
Epoch 851/1000:Epoch loss: 0.1385 - avg acc: 92.4% - val-roc: 0.7245 - val-ap: 0.6766 (0.1s/epoch)
Epoch 852/1000:Epoch loss: 0.1504 - avg acc: 91.6% - val-roc: 0.7398 - val-ap: 0.7240 (0.1s/epoch)
Epoch 853/1000:Epoch loss: 0.1655 - avg acc: 95.4% - val-roc: 0.7602 - val-ap: 0.7136 (0.1s/epoch)
Epoch 854/1000:Epoch loss: 0.1800 - avg acc: 91.6% - val-roc: 0.7908 - val-ap: 0.7627 (0.1s/epoch)
Epoch 855/1000:Epoch loss: 0.1617 - avg acc: 94.7% - val-roc: 0.7857 - val-ap: 0.7610 (0.1s/epoch)
Epoch 856/1000:Epoch loss: 0.1467 - avg acc: 90.8% - val-roc: 0.7653 - val-ap: 0.7687 (0.1s/epoch)
Epoch 857/1000:Epoch loss: 0.1712 - avg acc: 94.7% - val-roc: 0.7704 - val-ap: 0.7176 (0.1s/epoch)
Epoch 858/1000:Epoch loss: 0.1453 - avg acc: 91.6% - val-roc: 0.7092 - val-ap: 0.6663 (0.1s/epoch)
Epoch 859/1000:Epoch loss: 0.1872 - avg acc: 91.6% - val-roc: 0.7143 - val-ap: 0.6682 (0.1s/epoch)
Epoch 860/1000:Epoch loss: 0.1446 - avg acc: 93.9% - val-roc: 0.7245 - val-ap: 0.6734 (0.1s/epoch)
Epoch 861/1000:Epoch loss: 0.1621 - avg acc: 90.8% - val-roc: 0.7704 - val-ap: 0.7680 (0.1s/epoch)
Epoch 862/1000:Epoch loss: 0.1534 - avg acc: 92.4% - val-roc: 0.8418 - val-ap: 0.8795 (0.1s/epoch)
Epoch 863/1000:Epoch loss: 0.1178 - avg acc: 94.7% - val-roc: 0.8265 - val-ap: 0.8568 (0.1s/epoch)
Epoch 864/1000:Epoch loss: 0.1275 - avg acc: 91.6% - val-roc: 0.7857 - val-ap: 0.8114 (0.1s/epoch)
Epoch 865/1000:Epoch loss: 0.2101 - avg acc: 93.1% - val-roc: 0.7806 - val-ap: 0.7964 (0.1s/epoch)
Epoch 866/1000:Epoch loss: 0.1162 - avg acc: 93.9% - val-roc: 0.7755 - val-ap: 0.7719 (0.1s/epoch)
Epoch 867/1000:Epoch loss: 0.1193 - avg acc: 93.1% - val-roc: 0.7755 - val-ap: 0.7719 (0.1s/epoch)
Epoch 868/1000:Epoch loss: 0.1168 - avg acc: 93.1% - val-roc: 0.7755 - val-ap: 0.7723 (0.1s/epoch)
Epoch 869/1000:Epoch loss: 0.0967 - avg acc: 93.9% - val-roc: 0.7959 - val-ap: 0.7954 (0.2s/epoch)
Epoch 870/1000:Epoch loss: 0.1007 - avg acc: 94.7% - val-roc: 0.8112 - val-ap: 0.8186 (0.2s/epoch)
Epoch 871/1000:Epoch loss: 0.1221 - avg acc: 93.1% - val-roc: 0.7551 - val-ap: 0.7619 (0.1s/epoch)
Epoch 872/1000:Epoch loss: 0.1187 - avg acc: 93.1% - val-roc: 0.7500 - val-ap: 0.7594 (0.1s/epoch)
Epoch 873/1000:Epoch loss: 0.1426 - avg acc: 93.1% - val-roc: 0.7449 - val-ap: 0.7571 (0.1s/epoch)
Epoch 874/1000:Epoch loss: 0.1250 - avg acc: 93.1% - val-roc: 0.7398 - val-ap: 0.7554 (0.1s/epoch)
Epoch 875/1000:Epoch loss: 0.1868 - avg acc: 96.2% - val-roc: 0.7653 - val-ap: 0.7719 (0.1s/epoch)
Epoch 876/1000:Epoch loss: 0.1339 - avg acc: 90.8% - val-roc: 0.7857 - val-ap: 0.7823 (0.1s/epoch)
Epoch 877/1000:Epoch loss: 0.1797 - avg acc: 93.1% - val-roc: 0.7806 - val-ap: 0.7547 (0.1s/epoch)
Epoch 878/1000:Epoch loss: 0.1310 - avg acc: 90.8% - val-roc: 0.7755 - val-ap: 0.7766 (0.1s/epoch)
Epoch 879/1000:Epoch loss: 0.1050 - avg acc: 95.4% - val-roc: 0.8010 - val-ap: 0.8004 (0.1s/epoch)
Epoch 880/1000:Epoch loss: 0.1999 - avg acc: 92.4% - val-roc: 0.7704 - val-ap: 0.7752 (0.1s/epoch)
Epoch 881/1000:Epoch loss: 0.1187 - avg acc: 93.9% - val-roc: 0.7347 - val-ap: 0.7289 (0.1s/epoch)
Epoch 882/1000:Epoch loss: 0.1355 - avg acc: 94.7% - val-roc: 0.7143 - val-ap: 0.6747 (0.1s/epoch)
Epoch 883/1000:Epoch loss: 0.1463 - avg acc: 90.8% - val-roc: 0.8061 - val-ap: 0.8017 (0.1s/epoch)
Epoch 884/1000:Epoch loss: 0.1776 - avg acc: 93.1% - val-roc: 0.8776 - val-ap: 0.9077 (0.1s/epoch)
Epoch 885/1000:Epoch loss: 0.1875 - avg acc: 93.1% - val-roc: 0.8520 - val-ap: 0.8921 (0.1s/epoch)
Epoch 886/1000:Epoch loss: 0.1688 - avg acc: 96.9% - val-roc: 0.7653 - val-ap: 0.7896 (0.1s/epoch)
Epoch 887/1000:Epoch loss: 0.1708 - avg acc: 95.4% - val-roc: 0.7602 - val-ap: 0.7492 (0.1s/epoch)
Epoch 888/1000:Epoch loss: 0.1073 - avg acc: 93.9% - val-roc: 0.8214 - val-ap: 0.8328 (0.1s/epoch)
Epoch 889/1000:Epoch loss: 0.1658 - avg acc: 93.1% - val-roc: 0.8214 - val-ap: 0.8321 (0.1s/epoch)
Epoch 890/1000:Epoch loss: 0.1716 - avg acc: 90.1% - val-roc: 0.7908 - val-ap: 0.7931 (0.1s/epoch)
Epoch 891/1000:Epoch loss: 0.1397 - avg acc: 94.7% - val-roc: 0.7857 - val-ap: 0.7693 (0.1s/epoch)
Epoch 892/1000:Epoch loss: 0.1127 - avg acc: 90.8% - val-roc: 0.7857 - val-ap: 0.7597 (0.1s/epoch)
Epoch 893/1000:Epoch loss: 0.1390 - avg acc: 94.7% - val-roc: 0.7806 - val-ap: 0.7142 (0.1s/epoch)
Epoch 894/1000:Epoch loss: 0.1423 - avg acc: 92.4% - val-roc: 0.7551 - val-ap: 0.6952 (0.1s/epoch)
Epoch 895/1000:Epoch loss: 0.1192 - avg acc: 95.4% - val-roc: 0.8010 - val-ap: 0.7334 (0.1s/epoch)
Epoch 896/1000:Epoch loss: 0.1139 - avg acc: 90.1% - val-roc: 0.8061 - val-ap: 0.7427 (0.1s/epoch)
Epoch 897/1000:Epoch loss: 0.1075 - avg acc: 90.8% - val-roc: 0.7908 - val-ap: 0.7234 (0.1s/epoch)
Epoch 898/1000:Epoch loss: 0.1909 - avg acc: 93.9% - val-roc: 0.7755 - val-ap: 0.7060 (0.1s/epoch)
Epoch 899/1000:Epoch loss: 0.1526 - avg acc: 80.9% - val-roc: 0.7398 - val-ap: 0.6816 (0.1s/epoch)
Epoch 900/1000:Epoch loss: 0.1509 - avg acc: 93.9% - val-roc: 0.7755 - val-ap: 0.7235 (0.1s/epoch)
Epoch 901/1000:Epoch loss: 0.1086 - avg acc: 92.4% - val-roc: 0.7755 - val-ap: 0.7600 (0.1s/epoch)
Epoch 902/1000:Epoch loss: 0.1674 - avg acc: 92.4% - val-roc: 0.8163 - val-ap: 0.8123 (0.1s/epoch)
Epoch 903/1000:Epoch loss: 0.1070 - avg acc: 91.6% - val-roc: 0.8418 - val-ap: 0.8561 (0.1s/epoch)
Epoch 904/1000:Epoch loss: 0.1487 - avg acc: 93.1% - val-roc: 0.8469 - val-ap: 0.8583 (0.1s/epoch)
Epoch 905/1000:Epoch loss: 0.0904 - avg acc: 92.4% - val-roc: 0.7755 - val-ap: 0.7850 (0.1s/epoch)
Epoch 906/1000:Epoch loss: 0.0907 - avg acc: 92.4% - val-roc: 0.7398 - val-ap: 0.7527 (0.1s/epoch)
Epoch 907/1000:Epoch loss: 0.1323 - avg acc: 93.9% - val-roc: 0.7602 - val-ap: 0.7671 (0.1s/epoch)
Epoch 908/1000:Epoch loss: 0.1115 - avg acc: 94.7% - val-roc: 0.8214 - val-ap: 0.7938 (0.1s/epoch)
Epoch 909/1000:Epoch loss: 0.1482 - avg acc: 93.9% - val-roc: 0.7806 - val-ap: 0.7657 (0.1s/epoch)
Epoch 910/1000:Epoch loss: 0.1176 - avg acc: 94.7% - val-roc: 0.7449 - val-ap: 0.6991 (0.1s/epoch)
Epoch 911/1000:Epoch loss: 0.1392 - avg acc: 96.2% - val-roc: 0.7347 - val-ap: 0.6745 (0.1s/epoch)
Epoch 912/1000:Epoch loss: 0.1152 - avg acc: 94.7% - val-roc: 0.7347 - val-ap: 0.6959 (0.1s/epoch)
Epoch 913/1000:Epoch loss: 0.1415 - avg acc: 93.9% - val-roc: 0.7857 - val-ap: 0.7705 (0.1s/epoch)
Epoch 914/1000:Epoch loss: 0.1238 - avg acc: 93.1% - val-roc: 0.7959 - val-ap: 0.7784 (0.1s/epoch)
Epoch 915/1000:Epoch loss: 0.1350 - avg acc: 92.4% - val-roc: 0.7449 - val-ap: 0.7066 (0.1s/epoch)
Epoch 916/1000:Epoch loss: 0.1459 - avg acc: 93.9% - val-roc: 0.7602 - val-ap: 0.7234 (0.1s/epoch)
Epoch 917/1000:Epoch loss: 0.1258 - avg acc: 92.4% - val-roc: 0.6990 - val-ap: 0.6748 (0.1s/epoch)
Epoch 918/1000:Epoch loss: 0.1842 - avg acc: 95.4% - val-roc: 0.7959 - val-ap: 0.7824 (0.1s/epoch)
Epoch 919/1000:Epoch loss: 0.1404 - avg acc: 93.1% - val-roc: 0.7959 - val-ap: 0.7810 (0.1s/epoch)
Epoch 920/1000:Epoch loss: 0.1099 - avg acc: 93.1% - val-roc: 0.7704 - val-ap: 0.7533 (0.1s/epoch)
Epoch 921/1000:Epoch loss: 0.1021 - avg acc: 94.7% - val-roc: 0.8010 - val-ap: 0.7798 (0.1s/epoch)
Epoch 922/1000:Epoch loss: 0.1406 - avg acc: 93.1% - val-roc: 0.8214 - val-ap: 0.8120 (0.1s/epoch)
Epoch 923/1000:Epoch loss: 0.0960 - avg acc: 93.9% - val-roc: 0.8214 - val-ap: 0.8277 (0.1s/epoch)
Epoch 924/1000:Epoch loss: 0.1476 - avg acc: 93.1% - val-roc: 0.8316 - val-ap: 0.8212 (0.1s/epoch)
Epoch 925/1000:Epoch loss: 0.1504 - avg acc: 91.6% - val-roc: 0.8010 - val-ap: 0.8026 (0.1s/epoch)
Epoch 926/1000:Epoch loss: 0.1140 - avg acc: 94.7% - val-roc: 0.7857 - val-ap: 0.7357 (0.1s/epoch)
Epoch 927/1000:Epoch loss: 0.0993 - avg acc: 92.4% - val-roc: 0.7092 - val-ap: 0.6782 (0.1s/epoch)
Epoch 928/1000:Epoch loss: 0.1967 - avg acc: 93.1% - val-roc: 0.7347 - val-ap: 0.7322 (0.1s/epoch)
Epoch 929/1000:Epoch loss: 0.0909 - avg acc: 93.9% - val-roc: 0.7704 - val-ap: 0.7674 (0.1s/epoch)
Epoch 930/1000:Epoch loss: 0.1463 - avg acc: 92.4% - val-roc: 0.7602 - val-ap: 0.7798 (0.1s/epoch)
Epoch 931/1000:Epoch loss: 0.1203 - avg acc: 96.9% - val-roc: 0.7806 - val-ap: 0.7700 (0.1s/epoch)
Epoch 932/1000:Epoch loss: 0.1316 - avg acc: 95.4% - val-roc: 0.7755 - val-ap: 0.7664 (0.1s/epoch)
Epoch 933/1000:Epoch loss: 0.1792 - avg acc: 90.1% - val-roc: 0.7398 - val-ap: 0.7623 (0.1s/epoch)
Epoch 934/1000:Epoch loss: 0.1625 - avg acc: 97.7% - val-roc: 0.7755 - val-ap: 0.7916 (0.1s/epoch)
Epoch 935/1000:Epoch loss: 0.1515 - avg acc: 84.7% - val-roc: 0.7653 - val-ap: 0.7931 (0.1s/epoch)
Epoch 936/1000:Epoch loss: 0.1555 - avg acc: 95.4% - val-roc: 0.7755 - val-ap: 0.7974 (0.1s/epoch)
Epoch 937/1000:Epoch loss: 0.1296 - avg acc: 91.6% - val-roc: 0.7347 - val-ap: 0.7535 (0.1s/epoch)
Epoch 938/1000:Epoch loss: 0.1297 - avg acc: 93.9% - val-roc: 0.7653 - val-ap: 0.7923 (0.1s/epoch)
Epoch 939/1000:Epoch loss: 0.1206 - avg acc: 93.1% - val-roc: 0.7857 - val-ap: 0.8016 (0.1s/epoch)
Epoch 940/1000:Epoch loss: 0.1575 - avg acc: 92.4% - val-roc: 0.7704 - val-ap: 0.7799 (0.1s/epoch)
Epoch 941/1000:Epoch loss: 0.1030 - avg acc: 93.1% - val-roc: 0.7755 - val-ap: 0.7997 (0.1s/epoch)
Epoch 942/1000:Epoch loss: 0.1082 - avg acc: 90.8% - val-roc: 0.7653 - val-ap: 0.7782 (0.1s/epoch)
Epoch 943/1000:Epoch loss: 0.1285 - avg acc: 93.1% - val-roc: 0.7653 - val-ap: 0.7775 (0.1s/epoch)
Epoch 944/1000:Epoch loss: 0.0796 - avg acc: 94.7% - val-roc: 0.7602 - val-ap: 0.7539 (0.1s/epoch)
Epoch 945/1000:Epoch loss: 0.0982 - avg acc: 91.6% - val-roc: 0.7704 - val-ap: 0.7580 (0.1s/epoch)
Epoch 946/1000:Epoch loss: 0.1599 - avg acc: 93.1% - val-roc: 0.7755 - val-ap: 0.7605 (0.1s/epoch)
Epoch 947/1000:Epoch loss: 0.0929 - avg acc: 90.8% - val-roc: 0.7908 - val-ap: 0.7892 (0.1s/epoch)
Epoch 948/1000:Epoch loss: 0.1180 - avg acc: 93.1% - val-roc: 0.8061 - val-ap: 0.8064 (0.1s/epoch)
Epoch 949/1000:Epoch loss: 0.0927 - avg acc: 93.1% - val-roc: 0.7908 - val-ap: 0.7900 (0.1s/epoch)
Epoch 950/1000:Epoch loss: 0.1616 - avg acc: 95.4% - val-roc: 0.8265 - val-ap: 0.8186 (0.1s/epoch)
Epoch 951/1000:Epoch loss: 0.1549 - avg acc: 93.1% - val-roc: 0.8622 - val-ap: 0.8543 (0.1s/epoch)
Epoch 952/1000:Epoch loss: 0.0953 - avg acc: 95.4% - val-roc: 0.8878 - val-ap: 0.8989 (0.1s/epoch)
Epoch 953/1000:Epoch loss: 0.1740 - avg acc: 93.1% - val-roc: 0.8776 - val-ap: 0.8926 (0.1s/epoch)
Epoch 954/1000:Epoch loss: 0.1464 - avg acc: 90.8% - val-roc: 0.8878 - val-ap: 0.9138 (0.1s/epoch)
Epoch 955/1000:Epoch loss: 0.2530 - avg acc: 95.4% - val-roc: 0.8929 - val-ap: 0.9229 (0.1s/epoch)
Epoch 956/1000:Epoch loss: 0.1995 - avg acc: 84.7% - val-roc: 0.8112 - val-ap: 0.8223 (0.1s/epoch)
Epoch 957/1000:Epoch loss: 0.1961 - avg acc: 96.2% - val-roc: 0.8010 - val-ap: 0.8031 (0.1s/epoch)
Epoch 958/1000:Epoch loss: 0.0982 - avg acc: 91.6% - val-roc: 0.7653 - val-ap: 0.7550 (0.1s/epoch)
Epoch 959/1000:Epoch loss: 0.1516 - avg acc: 93.9% - val-roc: 0.7653 - val-ap: 0.7550 (0.1s/epoch)
Epoch 960/1000:Epoch loss: 0.1010 - avg acc: 93.1% - val-roc: 0.7908 - val-ap: 0.7890 (0.1s/epoch)
Epoch 961/1000:Epoch loss: 0.1319 - avg acc: 90.1% - val-roc: 0.8112 - val-ap: 0.8002 (0.1s/epoch)
Epoch 962/1000:Epoch loss: 0.1855 - avg acc: 94.7% - val-roc: 0.8265 - val-ap: 0.7944 (0.1s/epoch)
Epoch 963/1000:Epoch loss: 0.0799 - avg acc: 93.9% - val-roc: 0.7806 - val-ap: 0.7591 (0.1s/epoch)
Epoch 964/1000:Epoch loss: 0.1547 - avg acc: 90.8% - val-roc: 0.8214 - val-ap: 0.8463 (0.1s/epoch)
Epoch 965/1000:Epoch loss: 0.1527 - avg acc: 93.9% - val-roc: 0.8469 - val-ap: 0.8766 (0.1s/epoch)
Epoch 966/1000:Epoch loss: 0.2005 - avg acc: 96.2% - val-roc: 0.8520 - val-ap: 0.8790 (0.1s/epoch)
Epoch 967/1000:Epoch loss: 0.0918 - avg acc: 93.1% - val-roc: 0.7704 - val-ap: 0.7961 (0.1s/epoch)
Epoch 968/1000:Epoch loss: 0.2136 - avg acc: 93.9% - val-roc: 0.7857 - val-ap: 0.8015 (0.1s/epoch)
Epoch 969/1000:Epoch loss: 0.1549 - avg acc: 93.9% - val-roc: 0.8214 - val-ap: 0.8464 (0.1s/epoch)
Epoch 970/1000:Epoch loss: 0.1310 - avg acc: 88.5% - val-roc: 0.8214 - val-ap: 0.8545 (0.1s/epoch)
Epoch 971/1000:Epoch loss: 0.1553 - avg acc: 93.1% - val-roc: 0.8367 - val-ap: 0.8618 (0.1s/epoch)
Epoch 972/1000:Epoch loss: 0.1305 - avg acc: 93.1% - val-roc: 0.8061 - val-ap: 0.8219 (0.1s/epoch)
Epoch 973/1000:Epoch loss: 0.1567 - avg acc: 93.1% - val-roc: 0.8214 - val-ap: 0.8171 (0.1s/epoch)
Epoch 974/1000:Epoch loss: 0.1165 - avg acc: 93.9% - val-roc: 0.8571 - val-ap: 0.8611 (0.1s/epoch)
Epoch 975/1000:Epoch loss: 0.1220 - avg acc: 93.1% - val-roc: 0.8571 - val-ap: 0.8700 (0.1s/epoch)
Epoch 976/1000:Epoch loss: 0.1077 - avg acc: 94.7% - val-roc: 0.8316 - val-ap: 0.8267 (0.1s/epoch)
Epoch 977/1000:Epoch loss: 0.1349 - avg acc: 94.7% - val-roc: 0.8316 - val-ap: 0.8271 (0.1s/epoch)
Epoch 978/1000:Epoch loss: 0.1499 - avg acc: 94.7% - val-roc: 0.8571 - val-ap: 0.8589 (0.1s/epoch)
Epoch 979/1000:Epoch loss: 0.0999 - avg acc: 93.1% - val-roc: 0.8673 - val-ap: 0.8850 (0.1s/epoch)
Epoch 980/1000:Epoch loss: 0.1020 - avg acc: 96.9% - val-roc: 0.8827 - val-ap: 0.8929 (0.1s/epoch)
Epoch 981/1000:Epoch loss: 0.1597 - avg acc: 94.7% - val-roc: 0.8418 - val-ap: 0.8564 (0.1s/epoch)
Epoch 982/1000:Epoch loss: 0.1340 - avg acc: 93.9% - val-roc: 0.8265 - val-ap: 0.8393 (0.1s/epoch)
Epoch 983/1000:Epoch loss: 0.1146 - avg acc: 93.9% - val-roc: 0.8316 - val-ap: 0.8454 (0.1s/epoch)
Epoch 984/1000:Epoch loss: 0.1013 - avg acc: 92.4% - val-roc: 0.7908 - val-ap: 0.8149 (0.1s/epoch)
Epoch 985/1000:Epoch loss: 0.1193 - avg acc: 95.4% - val-roc: 0.8112 - val-ap: 0.8358 (0.1s/epoch)
Epoch 986/1000:Epoch loss: 0.1677 - avg acc: 92.4% - val-roc: 0.7806 - val-ap: 0.7871 (0.1s/epoch)
Epoch 987/1000:Epoch loss: 0.1145 - avg acc: 95.4% - val-roc: 0.8265 - val-ap: 0.8182 (0.1s/epoch)
Epoch 988/1000:Epoch loss: 0.1158 - avg acc: 92.4% - val-roc: 0.8418 - val-ap: 0.8261 (0.1s/epoch)
Epoch 989/1000:Epoch loss: 0.1163 - avg acc: 94.7% - val-roc: 0.8622 - val-ap: 0.8375 (0.1s/epoch)
Epoch 990/1000:Epoch loss: 0.0995 - avg acc: 93.1% - val-roc: 0.8265 - val-ap: 0.8152 (0.1s/epoch)
Epoch 991/1000:Epoch loss: 0.1288 - avg acc: 93.1% - val-roc: 0.8010 - val-ap: 0.7669 (0.1s/epoch)
Epoch 992/1000:Epoch loss: 0.1355 - avg acc: 95.4% - val-roc: 0.7908 - val-ap: 0.7636 (0.1s/epoch)
Epoch 993/1000:Epoch loss: 0.1664 - avg acc: 92.4% - val-roc: 0.7755 - val-ap: 0.7782 (0.1s/epoch)
Epoch 994/1000:Epoch loss: 0.1512 - avg acc: 93.1% - val-roc: 0.8418 - val-ap: 0.8651 (0.1s/epoch)
Epoch 995/1000:Epoch loss: 0.1034 - avg acc: 95.4% - val-roc: 0.8622 - val-ap: 0.8814 (0.1s/epoch)
Epoch 996/1000:Epoch loss: 0.1269 - avg acc: 91.6% - val-roc: 0.8316 - val-ap: 0.8516 (0.1s/epoch)
Epoch 997/1000:Epoch loss: 0.1327 - avg acc: 93.9% - val-roc: 0.8214 - val-ap: 0.8459 (0.1s/epoch)
Epoch 998/1000:Epoch loss: 0.1132 - avg acc: 95.4% - val-roc: 0.8316 - val-ap: 0.8596 (0.1s/epoch)
Epoch 999/1000:Epoch loss: 0.1247 - avg acc: 93.1% - val-roc: 0.8622 - val-ap: 0.8813 (0.1s/epoch)
Epoch 1000/1000:Epoch loss: 0.1914 - avg acc: 92.4% - val-roc: 0.8673 - val-ap: 0.8881 (0.1s/epoch)
Done!
Test ROC: 0.8667 - Test AP: 0.9531
Plots of training history#
Let’s see how the training went :
utils.plot_history(history)
Validation on unseen data#
Now, let’s use our held-out data to check how well our model handles unseen data.
test_roc, test_ap, preds, ys = t.test(
dataloaders[2].dataset, model, return_preds=True
)
print(f"Test ROC-AUC: {test_roc:.4f}")
print(f"Test AP: {test_ap:.4f}")
# Plot the ROC curve
fig = t.plot_roc_curve(dataloaders[2].dataset, model)
print(
f"Number of correct positive predictions on test set: {torch.sum((preds > 0.5) & (ys == 1)).numpy()} out of {torch.sum(ys == 1).numpy()}"
)
print(
f"Number of correct negative predictions on test set: {torch.sum((preds < 0.5) & (ys == 0)).numpy()} out of {torch.sum(ys == 0).numpy()}"
)
Test ROC-AUC: 0.8667
Test AP: 0.9531
Number of correct positive predictions on test set: 17 out of 20
Number of correct negative predictions on test set: 8 out of 9
We can also look at the distribution of predictions, to get a sense of our model’s uncertainty :
utils.show_preds_distribution(preds, ys)
This plot shows the distribution of the labels and predictions;
predictions are overlayed on top of the labels,
showing whether they are missing or surnumerous.
The labels are 20 positive and 9 negative.
The predictions are 18 positive and 11 negative.
utils.plot_confusion_matrix(preds, ys)
mislabeled = utils.find_mislabeled_molecules(preds, ys.numpy().astype(int))
print(f"{len(mislabeled)} mislabeled molecules")
mols = []
for id_mol in mislabeled:
mols.append(dataloaders[2].dataset[id_mol])
thresh_preds = np.where(preds > 0.5, 1, 0)[mislabeled]
utils.draw_molecule_from_dict(
mols[:5],
preds=thresh_preds,
mol_ids=mislabeled,
n_cols=3,
n_rows=2,
figsize=(8, 6),
)
4 mislabeled molecules
Full dataset performance#
Out of curiosity, let’s see how the model performs on the whole dataset.
We will as before plot the ROC curve and the distribution of predictions; additionally, we will show which molecules the model misclassified.
data_all = t.create_dataset_dict(add_edge_features=True)
full_dataset = t.MutagDataset(data_all)
Full ROC curve#
full_roc, full_ap, preds, ys = t.test(dataset, model, return_preds=True)
print(f"Full ROC-AUC: {full_roc:.4f}")
print(f"Full AP: {full_ap:.4f}")
# Plot the ROC curve
fig = t.plot_roc_curve(dataset, model)
preds = preds.cpu().detach().numpy()
ys = ys.cpu().detach().numpy()
print(
f"Number of correct positive predictions on test set: {np.sum((preds > 0.5) & (ys == 1))} out of {np.sum(ys == 1)}"
)
print(
f"Number of correct negative predictions on test set: {np.sum((preds < 0.5) & (ys == 0))} out of {np.sum(ys == 0)}"
)
Full ROC-AUC: 0.9545
Full AP: 0.9784
Number of correct positive predictions on test set: 119 out of 125
Number of correct negative predictions on test set: 48 out of 63
Predictions distribution#
utils.show_preds_distribution(preds, ys)
This plot shows the distribution of the labels and predictions;
predictions are overlayed on top of the labels,
showing whether they are missing or surnumerous.
The labels are 125 positive and 63 negative.
The predictions are 134 positive and 54 negative.
Confusion matrix#
utils.plot_confusion_matrix(preds, ys)
Check mislabelled molecules#
mislabeled = utils.find_mislabeled_molecules(preds, ys.astype(int))
print(f"{len(mislabeled)} mislabeled molecules")
mols = []
for id_mol in mislabeled:
mols.append(full_dataset[id_mol])
thresh_preds = np.where(preds > 0.5, 1, 0)[mislabeled]
utils.draw_molecule_from_dict(
mols[:20],
preds=thresh_preds,
mol_ids=mislabeled,
n_cols=4,
n_rows=5,
figsize=(8, 10),
)
21 mislabeled molecules
