(Newer) Latent Space Exploration with Randomized Sparse Mixed Scale Autoencoders, regularized by the availability of image labels¶
Authors: Eric Roberts and Petrus Zwart
E-mail: PHZwart@lbl.gov, EJRoberts@lbl.gov ___
This notebook highlights some basic functionality with the pyMSDtorch package.
In this notebook we setup autoencoders, with the goal to explore the latent space it generates. In this case however, we will guide the formation of the latent space by including labels to specific images.
The autoencoders we use are based on randomly construct convolutional neural networks in which we can control the number of parameters it contains. This type of control can be beneficial when the amount of data on which one can train a network is not very voluminous, as it allows for better handles on overfitting.
The constructed latent space can be used for unsupervised and supervised exploration methods. In our limited experience, the classifiers that are trained come out of the data are reasonable, but can be improved upon using classic classification methods, as shown further.
[1]:
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from pyMSDtorch.core import helpers
from pyMSDtorch.core import train_scripts
from pyMSDtorch.core.networks import baggins
from pyMSDtorch.core.networks import SparseNet
from pyMSDtorch.test_data.twoD import random_shapes
from pyMSDtorch.core.utils import latent_space_viewer
from pyMSDtorch.viz_tools import plots
from pyMSDtorch.viz_tools import plot_autoencoder_image_classification as paic
import matplotlib.pyplot as plt
import matplotlib
from torch.utils.data import DataLoader, TensorDataset
import einops
import umap
<frozen importlib._bootstrap>:219: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject
Create some data first
[2]:
N_train = 500
N_labeled = 200
N_test = 500
noise_level = 0.50
Nxy = 32
train_data = random_shapes.build_random_shape_set_numpy(n_imgs=N_train,
noise_level=noise_level,
n_xy=Nxy)
test_data = random_shapes.build_random_shape_set_numpy(n_imgs=N_test,
noise_level=noise_level,
n_xy=Nxy)
[3]:
plots.plot_shapes_data_numpy(train_data)
[4]:
which_one = "Noisy" #"GroundTruth"
batch_size = 100
loader_params = {'batch_size': batch_size,
'shuffle': True}
train_imgs = torch.Tensor(train_data[which_one]).unsqueeze(1)
train_labels = torch.Tensor(train_data["Label"]).unsqueeze(1)-1
train_labels[N_labeled:]=-1 # remove some labels to highlight 'mixed' training
Ttrain_data = TensorDataset(train_imgs,train_labels)
train_loader = DataLoader(Ttrain_data, **loader_params)
loader_params = {'batch_size': batch_size,
'shuffle': False}
test_images = torch.Tensor(test_data[which_one]).unsqueeze(1)
test_labels = torch.Tensor(test_data["Label"]).unsqueeze(1)-1
Ttest_data = TensorDataset( test_images, test_labels )
test_loader = DataLoader(Ttest_data, **loader_params)
Lets build an autoencoder first.
There are a number of parameters to play with that impact the size of the network:
- latent_shape: the spatial footprint of the image in latent space.
I don't recommend going below 4x4, because it interferes with the
dilation choices. This is a bit of a annoyiong feature, we need to fix that.
Its on the list.
- out_channels: the number of channels of the latent image. Determines the
dimension of latent space: (channels,latent_shape[-2], latent_shape[-1])
- depth: the depth of the random sparse convolutional encoder / decoder
- hidden channels: The number of channels put out per convolution.
- max_degree / min_degree : This determines how many connections you have per node.
Other parameters do not impact the size of the network dramatically / at all:
- in_shape: determined by the input shape of the image.
- dilations: the maximum dilation should not exceed the smallest image dimension.
- alpha_range: determines the type of graphs (wide vs skinny). When alpha is large,
the chances for skinny graphs to be generated increases.
We don't know which parameter choice is best, so we randomize it's choice.
- gamma_range: no effect unless the maximum degree and min_degree are far apart.
We don't know which parameter choice is best, so we randomize it's choice.
- pIL,pLO,IO: keep as is.
- stride_base: make sure your latent image size can be generated from the in_shape
by repeated division of with this number.
For the classification, specify the number of output classes. Here we work with 4 shapes, so set it to 4. The dropout rate governs the dropout layers in the classifier part of the networks and doesn’t affect the autoencoder part.
[5]:
autoencoders = []
N_models = 7
for ii in range(N_models):
torch.cuda.empty_cache()
autoencoder = SparseNet.SparseAEC(in_shape=(32, 32),
latent_shape=(8, 8),
out_classes=4,
depth=40,
dilations=[1,2,3],
hidden_channels=3,
out_channels=2,
alpha_range=(0.0, 0.25),
gamma_range=(0.0, 0.5),
max_degree=10, min_degree=10,
pIL=0.15,
pLO=0.15,
IO=False,
stride_base=2,
dropout_rate=0.15,)
autoencoders.append(autoencoder)
pytorch_total_params = helpers.count_parameters(autoencoder)
print( "Number of parameters:", pytorch_total_params)
Number of parameters: 238793
Number of parameters: 270307
Number of parameters: 258797
Number of parameters: 223225
Number of parameters: 237490
Number of parameters: 245600
Number of parameters: 238823
We define two optimizers, one for autoencoding and one for classification. They will be minimized consequetively instead of building a single sum of targets. This avoids choosing the right weight. The mini-epochs are the number of epochs it passes over the whole data set to optimize a single atrget function. The autoencoder is done first.
[6]:
for ii in range(N_models):
autoencoder = autoencoders[ii]
torch.cuda.empty_cache()
learning_rate = 1e-3
num_epochs=25
criterion_AE = nn.MSELoss()
optimizer_AE = optim.Adam(autoencoder.parameters(), lr=learning_rate)
criterion_label = nn.CrossEntropyLoss(ignore_index=-1)
optimizer_label = optim.Adam(autoencoder.parameters(), lr=learning_rate)
rv = train_scripts.autoencode_and_classify_training(net=autoencoder.to('cuda:0'),
trainloader=train_loader,
validationloader=test_loader,
macro_epochs=num_epochs,
mini_epochs=5,
criteria_autoencode=criterion_AE,
minimizer_autoencode=optimizer_AE,
criteria_classify=criterion_label,
minimizer_classify=optimizer_label,
device="cuda:0",
show=1,
clip_value=100.0)
plots.plot_training_results_segmentation(rv[2]).show()
plots.plot_training_results_regression(rv[1]).show()
Epoch 1, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.3291e-01 | Validation Loss : 3.3059e-01
Training CC : 0.1441 | Validation CC : 0.3795
** Classification Losses **
Training Loss : 1.4778e+00 | Validation Loss : 1.4306e+00
Training F1 Macro: 0.1927 | Validation F1 Macro : 0.2313
Training F1 Micro: 0.2456 | Validation F1 Micro : 0.2640
Epoch 1, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8571e-01 | Validation Loss : 2.2450e-01
Training CC : 0.4758 | Validation CC : 0.5568
** Classification Losses **
Training Loss : 1.4656e+00 | Validation Loss : 1.4262e+00
Training F1 Macro: 0.2161 | Validation F1 Macro : 0.2103
Training F1 Micro: 0.2470 | Validation F1 Micro : 0.2460
Epoch 1, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.9252e-01 | Validation Loss : 1.5140e-01
Training CC : 0.6149 | Validation CC : 0.6500
** Classification Losses **
Training Loss : 1.4204e+00 | Validation Loss : 1.4326e+00
Training F1 Macro: 0.2511 | Validation F1 Macro : 0.2258
Training F1 Micro: 0.2833 | Validation F1 Micro : 0.2640
Epoch 1, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.3008e-01 | Validation Loss : 1.0477e-01
Training CC : 0.6858 | Validation CC : 0.7037
** Classification Losses **
Training Loss : 1.4160e+00 | Validation Loss : 1.4166e+00
Training F1 Macro: 0.2035 | Validation F1 Macro : 0.2256
Training F1 Micro: 0.2544 | Validation F1 Micro : 0.2640
Epoch 1, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 9.2090e-02 | Validation Loss : 7.7216e-02
Training CC : 0.7324 | Validation CC : 0.7439
** Classification Losses **
Training Loss : 1.4385e+00 | Validation Loss : 1.4156e+00
Training F1 Macro: 0.2179 | Validation F1 Macro : 0.2267
Training F1 Micro: 0.2657 | Validation F1 Micro : 0.2720
Epoch 2, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 7.6554e-02 | Validation Loss : 7.9300e-02
Training CC : 0.7534 | Validation CC : 0.7396
** Classification Losses ** <---- Now Optimizing
Training Loss : 1.2471e+00 | Validation Loss : 1.0606e+00
Training F1 Macro: 0.3863 | Validation F1 Macro : 0.5573
Training F1 Micro: 0.4202 | Validation F1 Micro : 0.5640
Epoch 2, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 7.8657e-02 | Validation Loss : 8.1138e-02
Training CC : 0.7475 | Validation CC : 0.7334
** Classification Losses ** <---- Now Optimizing
Training Loss : 9.3420e-01 | Validation Loss : 9.1713e-01
Training F1 Macro: 0.6864 | Validation F1 Macro : 0.6663
Training F1 Micro: 0.6932 | Validation F1 Micro : 0.6600
Epoch 2, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 8.0023e-02 | Validation Loss : 8.2387e-02
Training CC : 0.7422 | Validation CC : 0.7285
** Classification Losses ** <---- Now Optimizing
Training Loss : 7.7384e-01 | Validation Loss : 8.1647e-01
Training F1 Macro: 0.7247 | Validation F1 Macro : 0.6938
Training F1 Micro: 0.7228 | Validation F1 Micro : 0.6900
Epoch 2, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 8.1289e-02 | Validation Loss : 8.3476e-02
Training CC : 0.7374 | Validation CC : 0.7246
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.6634e-01 | Validation Loss : 7.0724e-01
Training F1 Macro: 0.7604 | Validation F1 Macro : 0.7382
Training F1 Micro: 0.7749 | Validation F1 Micro : 0.7360
Epoch 2, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 8.2227e-02 | Validation Loss : 8.3983e-02
Training CC : 0.7341 | Validation CC : 0.7227
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.9215e-01 | Validation Loss : 7.2037e-01
Training F1 Macro: 0.7649 | Validation F1 Macro : 0.6774
Training F1 Micro: 0.7674 | Validation F1 Micro : 0.6740
Epoch 3, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 7.3738e-02 | Validation Loss : 6.5154e-02
Training CC : 0.7497 | Validation CC : 0.7624
** Classification Losses **
Training Loss : 6.1459e-01 | Validation Loss : 6.8213e-01
Training F1 Macro: 0.7392 | Validation F1 Macro : 0.7191
Training F1 Micro: 0.7400 | Validation F1 Micro : 0.7220
Epoch 3, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 6.0560e-02 | Validation Loss : 5.7849e-02
Training CC : 0.7813 | Validation CC : 0.7854
** Classification Losses **
Training Loss : 5.1520e-01 | Validation Loss : 7.0926e-01
Training F1 Macro: 0.8047 | Validation F1 Macro : 0.7097
Training F1 Micro: 0.8048 | Validation F1 Micro : 0.7080
Epoch 3, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 5.4756e-02 | Validation Loss : 5.4303e-02
Training CC : 0.8018 | Validation CC : 0.8028
** Classification Losses **
Training Loss : 5.3589e-01 | Validation Loss : 7.0321e-01
Training F1 Macro: 0.8129 | Validation F1 Macro : 0.7097
Training F1 Micro: 0.8193 | Validation F1 Micro : 0.7060
Epoch 3, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 5.1570e-02 | Validation Loss : 5.1390e-02
Training CC : 0.8160 | Validation CC : 0.8137
** Classification Losses **
Training Loss : 5.7781e-01 | Validation Loss : 6.8949e-01
Training F1 Macro: 0.7933 | Validation F1 Macro : 0.7378
Training F1 Micro: 0.7917 | Validation F1 Micro : 0.7380
Epoch 3, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.8706e-02 | Validation Loss : 4.8585e-02
Training CC : 0.8261 | Validation CC : 0.8239
** Classification Losses **
Training Loss : 5.8905e-01 | Validation Loss : 6.9312e-01
Training F1 Macro: 0.7981 | Validation F1 Macro : 0.7640
Training F1 Micro: 0.7995 | Validation F1 Micro : 0.7620
Epoch 4, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.7162e-02 | Validation Loss : 4.8852e-02
Training CC : 0.8319 | Validation CC : 0.8228
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.5470e-01 | Validation Loss : 6.4983e-01
Training F1 Macro: 0.7846 | Validation F1 Macro : 0.7449
Training F1 Micro: 0.7854 | Validation F1 Micro : 0.7460
Epoch 4, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.7561e-02 | Validation Loss : 4.9256e-02
Training CC : 0.8302 | Validation CC : 0.8210
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.8117e-01 | Validation Loss : 5.9962e-01
Training F1 Macro: 0.7524 | Validation F1 Macro : 0.7495
Training F1 Micro: 0.7574 | Validation F1 Micro : 0.7500
Epoch 4, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.7926e-02 | Validation Loss : 5.0149e-02
Training CC : 0.8281 | Validation CC : 0.8172
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0104e-01 | Validation Loss : 5.9876e-01
Training F1 Macro: 0.8472 | Validation F1 Macro : 0.7410
Training F1 Micro: 0.8424 | Validation F1 Micro : 0.7380
Epoch 4, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.8940e-02 | Validation Loss : 5.1173e-02
Training CC : 0.8240 | Validation CC : 0.8130
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.0705e-01 | Validation Loss : 5.1841e-01
Training F1 Macro: 0.7356 | Validation F1 Macro : 0.8098
Training F1 Micro: 0.7326 | Validation F1 Micro : 0.8040
Epoch 4, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 5.0025e-02 | Validation Loss : 5.1955e-02
Training CC : 0.8198 | Validation CC : 0.8097
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2570e-01 | Validation Loss : 5.2499e-01
Training F1 Macro: 0.8125 | Validation F1 Macro : 0.7824
Training F1 Micro: 0.8119 | Validation F1 Micro : 0.7780
Epoch 5, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.8555e-02 | Validation Loss : 4.7966e-02
Training CC : 0.8260 | Validation CC : 0.8256
** Classification Losses **
Training Loss : 4.5043e-01 | Validation Loss : 5.4480e-01
Training F1 Macro: 0.8017 | Validation F1 Macro : 0.7936
Training F1 Micro: 0.7988 | Validation F1 Micro : 0.7920
Epoch 5, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.5060e-02 | Validation Loss : 4.5284e-02
Training CC : 0.8387 | Validation CC : 0.8351
** Classification Losses **
Training Loss : 4.0834e-01 | Validation Loss : 4.9639e-01
Training F1 Macro: 0.8013 | Validation F1 Macro : 0.8173
Training F1 Micro: 0.7984 | Validation F1 Micro : 0.8120
Epoch 5, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.3447e-02 | Validation Loss : 4.3533e-02
Training CC : 0.8448 | Validation CC : 0.8422
** Classification Losses **
Training Loss : 3.6569e-01 | Validation Loss : 5.3628e-01
Training F1 Macro: 0.8340 | Validation F1 Macro : 0.7848
Training F1 Micro: 0.8342 | Validation F1 Micro : 0.7780
Epoch 5, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.1518e-02 | Validation Loss : 4.2261e-02
Training CC : 0.8522 | Validation CC : 0.8473
** Classification Losses **
Training Loss : 4.0060e-01 | Validation Loss : 5.3324e-01
Training F1 Macro: 0.8183 | Validation F1 Macro : 0.7933
Training F1 Micro: 0.8201 | Validation F1 Micro : 0.7900
Epoch 5, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.0117e-02 | Validation Loss : 4.1035e-02
Training CC : 0.8573 | Validation CC : 0.8522
** Classification Losses **
Training Loss : 4.0776e-01 | Validation Loss : 5.3571e-01
Training F1 Macro: 0.7961 | Validation F1 Macro : 0.7888
Training F1 Micro: 0.8014 | Validation F1 Micro : 0.7880
Epoch 6, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.9818e-02 | Validation Loss : 4.1122e-02
Training CC : 0.8595 | Validation CC : 0.8517
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.7492e-01 | Validation Loss : 5.0097e-01
Training F1 Macro: 0.7470 | Validation F1 Macro : 0.8052
Training F1 Micro: 0.7557 | Validation F1 Micro : 0.8040
Epoch 6, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.9503e-02 | Validation Loss : 4.1425e-02
Training CC : 0.8596 | Validation CC : 0.8504
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.8426e-01 | Validation Loss : 5.1564e-01
Training F1 Macro: 0.7335 | Validation F1 Macro : 0.7851
Training F1 Micro: 0.7505 | Validation F1 Micro : 0.7860
Epoch 6, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.0428e-02 | Validation Loss : 4.1916e-02
Training CC : 0.8571 | Validation CC : 0.8484
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6817e-01 | Validation Loss : 5.4150e-01
Training F1 Macro: 0.8120 | Validation F1 Macro : 0.7543
Training F1 Micro: 0.8114 | Validation F1 Micro : 0.7500
Epoch 6, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.0598e-02 | Validation Loss : 4.2434e-02
Training CC : 0.8557 | Validation CC : 0.8463
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9005e-01 | Validation Loss : 4.5488e-01
Training F1 Macro: 0.7918 | Validation F1 Macro : 0.8299
Training F1 Micro: 0.7916 | Validation F1 Micro : 0.8300
Epoch 6, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.1184e-02 | Validation Loss : 4.2671e-02
Training CC : 0.8536 | Validation CC : 0.8454
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6833e-01 | Validation Loss : 4.8190e-01
Training F1 Macro: 0.8000 | Validation F1 Macro : 0.7867
Training F1 Micro: 0.7983 | Validation F1 Micro : 0.7820
Epoch 7, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.0104e-02 | Validation Loss : 4.0947e-02
Training CC : 0.8575 | Validation CC : 0.8527
** Classification Losses **
Training Loss : 4.1435e-01 | Validation Loss : 4.6529e-01
Training F1 Macro: 0.7817 | Validation F1 Macro : 0.8125
Training F1 Micro: 0.7909 | Validation F1 Micro : 0.8100
Epoch 7, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.8693e-02 | Validation Loss : 3.9705e-02
Training CC : 0.8630 | Validation CC : 0.8572
** Classification Losses **
Training Loss : 3.4552e-01 | Validation Loss : 4.5888e-01
Training F1 Macro: 0.8386 | Validation F1 Macro : 0.8158
Training F1 Micro: 0.8414 | Validation F1 Micro : 0.8160
Epoch 7, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.7703e-02 | Validation Loss : 3.8703e-02
Training CC : 0.8667 | Validation CC : 0.8611
** Classification Losses **
Training Loss : 4.9632e-01 | Validation Loss : 4.7334e-01
Training F1 Macro: 0.7385 | Validation F1 Macro : 0.7859
Training F1 Micro: 0.7313 | Validation F1 Micro : 0.7860
Epoch 7, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.7040e-02 | Validation Loss : 3.7884e-02
Training CC : 0.8700 | Validation CC : 0.8643
** Classification Losses **
Training Loss : 4.0643e-01 | Validation Loss : 4.8397e-01
Training F1 Macro: 0.7774 | Validation F1 Macro : 0.7829
Training F1 Micro: 0.7803 | Validation F1 Micro : 0.7760
Epoch 7, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.6359e-02 | Validation Loss : 3.7141e-02
Training CC : 0.8727 | Validation CC : 0.8671
** Classification Losses **
Training Loss : 4.3432e-01 | Validation Loss : 4.8012e-01
Training F1 Macro: 0.7945 | Validation F1 Macro : 0.7837
Training F1 Micro: 0.7918 | Validation F1 Micro : 0.7840
Epoch 8, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.5705e-02 | Validation Loss : 3.7189e-02
Training CC : 0.8748 | Validation CC : 0.8669
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.1798e-01 | Validation Loss : 5.2188e-01
Training F1 Macro: 0.8282 | Validation F1 Macro : 0.7602
Training F1 Micro: 0.8314 | Validation F1 Micro : 0.7520
Epoch 8, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.5517e-02 | Validation Loss : 3.7349e-02
Training CC : 0.8749 | Validation CC : 0.8662
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7565e-01 | Validation Loss : 5.2392e-01
Training F1 Macro: 0.8198 | Validation F1 Macro : 0.7744
Training F1 Micro: 0.8205 | Validation F1 Micro : 0.7740
Epoch 8, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.5712e-02 | Validation Loss : 3.7610e-02
Training CC : 0.8741 | Validation CC : 0.8652
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7113e-01 | Validation Loss : 4.9920e-01
Training F1 Macro: 0.8113 | Validation F1 Macro : 0.7757
Training F1 Micro: 0.8111 | Validation F1 Micro : 0.7740
Epoch 8, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.6207e-02 | Validation Loss : 3.8039e-02
Training CC : 0.8726 | Validation CC : 0.8635
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5126e-01 | Validation Loss : 4.6536e-01
Training F1 Macro: 0.7394 | Validation F1 Macro : 0.7788
Training F1 Micro: 0.7416 | Validation F1 Micro : 0.7780
Epoch 8, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.6613e-02 | Validation Loss : 3.8441e-02
Training CC : 0.8709 | Validation CC : 0.8619
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5643e-01 | Validation Loss : 4.5691e-01
Training F1 Macro: 0.7755 | Validation F1 Macro : 0.8070
Training F1 Micro: 0.7892 | Validation F1 Micro : 0.8040
Epoch 9, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.5970e-02 | Validation Loss : 3.7471e-02
Training CC : 0.8732 | Validation CC : 0.8662
** Classification Losses **
Training Loss : 3.7093e-01 | Validation Loss : 5.1996e-01
Training F1 Macro: 0.7847 | Validation F1 Macro : 0.7550
Training F1 Micro: 0.7877 | Validation F1 Micro : 0.7500
Epoch 9, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.5187e-02 | Validation Loss : 3.6510e-02
Training CC : 0.8765 | Validation CC : 0.8694
** Classification Losses **
Training Loss : 4.1121e-01 | Validation Loss : 4.9189e-01
Training F1 Macro: 0.8169 | Validation F1 Macro : 0.7783
Training F1 Micro: 0.8100 | Validation F1 Micro : 0.7760
Epoch 9, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.4385e-02 | Validation Loss : 3.5989e-02
Training CC : 0.8792 | Validation CC : 0.8723
** Classification Losses **
Training Loss : 3.3013e-01 | Validation Loss : 5.1617e-01
Training F1 Macro: 0.8102 | Validation F1 Macro : 0.7545
Training F1 Micro: 0.8193 | Validation F1 Micro : 0.7520
Epoch 9, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.3722e-02 | Validation Loss : 3.5365e-02
Training CC : 0.8819 | Validation CC : 0.8738
** Classification Losses **
Training Loss : 3.6229e-01 | Validation Loss : 5.3433e-01
Training F1 Macro: 0.7964 | Validation F1 Macro : 0.7440
Training F1 Micro: 0.8013 | Validation F1 Micro : 0.7380
Epoch 9, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.3240e-02 | Validation Loss : 3.4806e-02
Training CC : 0.8836 | Validation CC : 0.8765
** Classification Losses **
Training Loss : 3.3275e-01 | Validation Loss : 4.8706e-01
Training F1 Macro: 0.8403 | Validation F1 Macro : 0.7903
Training F1 Micro: 0.8434 | Validation F1 Micro : 0.7860
Epoch 10, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.2839e-02 | Validation Loss : 3.4869e-02
Training CC : 0.8851 | Validation CC : 0.8762
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.7283e-01 | Validation Loss : 4.8104e-01
Training F1 Macro: 0.7557 | Validation F1 Macro : 0.7880
Training F1 Micro: 0.7479 | Validation F1 Micro : 0.7900
Epoch 10, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.2954e-02 | Validation Loss : 3.4982e-02
Training CC : 0.8848 | Validation CC : 0.8757
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6545e-01 | Validation Loss : 4.5744e-01
Training F1 Macro: 0.8106 | Validation F1 Macro : 0.7965
Training F1 Micro: 0.8041 | Validation F1 Micro : 0.7940
Epoch 10, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.3925e-02 | Validation Loss : 3.5100e-02
Training CC : 0.8826 | Validation CC : 0.8752
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3902e-01 | Validation Loss : 5.0492e-01
Training F1 Macro: 0.7711 | Validation F1 Macro : 0.7761
Training F1 Micro: 0.7692 | Validation F1 Micro : 0.7760
Epoch 10, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.3218e-02 | Validation Loss : 3.5211e-02
Training CC : 0.8837 | Validation CC : 0.8747
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2974e-01 | Validation Loss : 4.9186e-01
Training F1 Macro: 0.7832 | Validation F1 Macro : 0.7719
Training F1 Micro: 0.7931 | Validation F1 Micro : 0.7660
Epoch 10, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.3189e-02 | Validation Loss : 3.5346e-02
Training CC : 0.8835 | Validation CC : 0.8741
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2953e-01 | Validation Loss : 4.9525e-01
Training F1 Macro: 0.7670 | Validation F1 Macro : 0.7805
Training F1 Micro: 0.7700 | Validation F1 Micro : 0.7800
Epoch 11, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.3152e-02 | Validation Loss : 3.4590e-02
Training CC : 0.8840 | Validation CC : 0.8769
** Classification Losses **
Training Loss : 3.9486e-01 | Validation Loss : 4.8384e-01
Training F1 Macro: 0.7777 | Validation F1 Macro : 0.7728
Training F1 Micro: 0.7924 | Validation F1 Micro : 0.7700
Epoch 11, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2496e-02 | Validation Loss : 3.4150e-02
Training CC : 0.8865 | Validation CC : 0.8789
** Classification Losses **
Training Loss : 4.3200e-01 | Validation Loss : 4.7584e-01
Training F1 Macro: 0.7559 | Validation F1 Macro : 0.8103
Training F1 Micro: 0.7612 | Validation F1 Micro : 0.8080
Epoch 11, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2013e-02 | Validation Loss : 3.3698e-02
Training CC : 0.8883 | Validation CC : 0.8805
** Classification Losses **
Training Loss : 3.9481e-01 | Validation Loss : 5.0424e-01
Training F1 Macro: 0.7750 | Validation F1 Macro : 0.7660
Training F1 Micro: 0.7920 | Validation F1 Micro : 0.7580
Epoch 11, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.1643e-02 | Validation Loss : 3.3260e-02
Training CC : 0.8899 | Validation CC : 0.8819
** Classification Losses **
Training Loss : 3.4861e-01 | Validation Loss : 5.2187e-01
Training F1 Macro: 0.8180 | Validation F1 Macro : 0.7492
Training F1 Micro: 0.8230 | Validation F1 Micro : 0.7440
Epoch 11, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.1421e-02 | Validation Loss : 3.3014e-02
Training CC : 0.8911 | Validation CC : 0.8830
** Classification Losses **
Training Loss : 3.9112e-01 | Validation Loss : 5.3061e-01
Training F1 Macro: 0.7690 | Validation F1 Macro : 0.7542
Training F1 Micro: 0.7688 | Validation F1 Micro : 0.7500
Epoch 12, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.0885e-02 | Validation Loss : 3.3098e-02
Training CC : 0.8923 | Validation CC : 0.8826
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9689e-01 | Validation Loss : 5.2818e-01
Training F1 Macro: 0.7607 | Validation F1 Macro : 0.7608
Training F1 Micro: 0.7697 | Validation F1 Micro : 0.7560
Epoch 12, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1017e-02 | Validation Loss : 3.3193e-02
Training CC : 0.8918 | Validation CC : 0.8822
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8250e-01 | Validation Loss : 4.6977e-01
Training F1 Macro: 0.7906 | Validation F1 Macro : 0.7883
Training F1 Micro: 0.7920 | Validation F1 Micro : 0.7820
Epoch 12, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1221e-02 | Validation Loss : 3.3281e-02
Training CC : 0.8913 | Validation CC : 0.8818
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7743e-01 | Validation Loss : 4.9804e-01
Training F1 Macro: 0.8085 | Validation F1 Macro : 0.7825
Training F1 Micro: 0.8054 | Validation F1 Micro : 0.7720
Epoch 12, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1340e-02 | Validation Loss : 3.3391e-02
Training CC : 0.8908 | Validation CC : 0.8814
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3297e-01 | Validation Loss : 5.0085e-01
Training F1 Macro: 0.7833 | Validation F1 Macro : 0.7659
Training F1 Micro: 0.7810 | Validation F1 Micro : 0.7580
Epoch 12, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1321e-02 | Validation Loss : 3.3457e-02
Training CC : 0.8908 | Validation CC : 0.8812
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1234e-01 | Validation Loss : 4.6862e-01
Training F1 Macro: 0.7977 | Validation F1 Macro : 0.7759
Training F1 Micro: 0.7943 | Validation F1 Micro : 0.7760
Epoch 13, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0935e-02 | Validation Loss : 3.2933e-02
Training CC : 0.8918 | Validation CC : 0.8834
** Classification Losses **
Training Loss : 3.4600e-01 | Validation Loss : 4.6911e-01
Training F1 Macro: 0.8409 | Validation F1 Macro : 0.7853
Training F1 Micro: 0.8420 | Validation F1 Micro : 0.7780
Epoch 13, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0638e-02 | Validation Loss : 3.2596e-02
Training CC : 0.8934 | Validation CC : 0.8845
** Classification Losses **
Training Loss : 3.7538e-01 | Validation Loss : 5.0974e-01
Training F1 Macro: 0.7852 | Validation F1 Macro : 0.7603
Training F1 Micro: 0.7796 | Validation F1 Micro : 0.7600
Epoch 13, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0095e-02 | Validation Loss : 3.2180e-02
Training CC : 0.8950 | Validation CC : 0.8862
** Classification Losses **
Training Loss : 3.6182e-01 | Validation Loss : 4.6430e-01
Training F1 Macro: 0.7888 | Validation F1 Macro : 0.7948
Training F1 Micro: 0.7979 | Validation F1 Micro : 0.7900
Epoch 13, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9889e-02 | Validation Loss : 3.1844e-02
Training CC : 0.8961 | Validation CC : 0.8874
** Classification Losses **
Training Loss : 3.8944e-01 | Validation Loss : 4.9234e-01
Training F1 Macro: 0.7583 | Validation F1 Macro : 0.7671
Training F1 Micro: 0.7853 | Validation F1 Micro : 0.7620
Epoch 13, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9351e-02 | Validation Loss : 3.1586e-02
Training CC : 0.8978 | Validation CC : 0.8885
** Classification Losses **
Training Loss : 4.6734e-01 | Validation Loss : 4.4817e-01
Training F1 Macro: 0.7581 | Validation F1 Macro : 0.8033
Training F1 Micro: 0.7529 | Validation F1 Micro : 0.8000
Epoch 14, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9104e-02 | Validation Loss : 3.1630e-02
Training CC : 0.8986 | Validation CC : 0.8883
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7653e-01 | Validation Loss : 4.5028e-01
Training F1 Macro: 0.7856 | Validation F1 Macro : 0.7992
Training F1 Micro: 0.7896 | Validation F1 Micro : 0.7980
Epoch 14, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9069e-02 | Validation Loss : 3.1683e-02
Training CC : 0.8987 | Validation CC : 0.8880
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9580e-01 | Validation Loss : 4.5434e-01
Training F1 Macro: 0.7977 | Validation F1 Macro : 0.7977
Training F1 Micro: 0.8029 | Validation F1 Micro : 0.7960
Epoch 14, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9308e-02 | Validation Loss : 3.1760e-02
Training CC : 0.8981 | Validation CC : 0.8877
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.6115e-01 | Validation Loss : 5.0435e-01
Training F1 Macro: 0.7612 | Validation F1 Macro : 0.7501
Training F1 Micro: 0.7612 | Validation F1 Micro : 0.7500
Epoch 14, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9382e-02 | Validation Loss : 3.1857e-02
Training CC : 0.8978 | Validation CC : 0.8873
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.7741e-01 | Validation Loss : 4.4365e-01
Training F1 Macro: 0.7461 | Validation F1 Macro : 0.8060
Training F1 Micro: 0.7491 | Validation F1 Micro : 0.8080
Epoch 14, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9412e-02 | Validation Loss : 3.1946e-02
Training CC : 0.8976 | Validation CC : 0.8869
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6677e-01 | Validation Loss : 4.9405e-01
Training F1 Macro: 0.8205 | Validation F1 Macro : 0.7608
Training F1 Micro: 0.8226 | Validation F1 Micro : 0.7580
Epoch 15, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9371e-02 | Validation Loss : 3.1557e-02
Training CC : 0.8979 | Validation CC : 0.8888
** Classification Losses **
Training Loss : 4.0280e-01 | Validation Loss : 5.3094e-01
Training F1 Macro: 0.7856 | Validation F1 Macro : 0.7685
Training F1 Micro: 0.7823 | Validation F1 Micro : 0.7640
Epoch 15, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9020e-02 | Validation Loss : 3.1215e-02
Training CC : 0.8993 | Validation CC : 0.8897
** Classification Losses **
Training Loss : 3.4093e-01 | Validation Loss : 5.0928e-01
Training F1 Macro: 0.8174 | Validation F1 Macro : 0.7528
Training F1 Micro: 0.8147 | Validation F1 Micro : 0.7480
Epoch 15, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8917e-02 | Validation Loss : 3.0945e-02
Training CC : 0.9001 | Validation CC : 0.8908
** Classification Losses **
Training Loss : 3.7552e-01 | Validation Loss : 4.7753e-01
Training F1 Macro: 0.7893 | Validation F1 Macro : 0.7853
Training F1 Micro: 0.7924 | Validation F1 Micro : 0.7800
Epoch 15, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8627e-02 | Validation Loss : 3.0752e-02
Training CC : 0.9012 | Validation CC : 0.8917
** Classification Losses **
Training Loss : 3.9733e-01 | Validation Loss : 5.0863e-01
Training F1 Macro: 0.7820 | Validation F1 Macro : 0.7657
Training F1 Micro: 0.7968 | Validation F1 Micro : 0.7660
Epoch 15, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9048e-02 | Validation Loss : 3.0505e-02
Training CC : 0.9011 | Validation CC : 0.8923
** Classification Losses **
Training Loss : 3.9624e-01 | Validation Loss : 5.0153e-01
Training F1 Macro: 0.7720 | Validation F1 Macro : 0.7692
Training F1 Micro: 0.7704 | Validation F1 Micro : 0.7680
Epoch 16, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8011e-02 | Validation Loss : 3.0555e-02
Training CC : 0.9030 | Validation CC : 0.8921
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5623e-01 | Validation Loss : 5.1162e-01
Training F1 Macro: 0.8093 | Validation F1 Macro : 0.7582
Training F1 Micro: 0.8016 | Validation F1 Micro : 0.7580
Epoch 16, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7988e-02 | Validation Loss : 3.0637e-02
Training CC : 0.9030 | Validation CC : 0.8918
** Classification Losses ** <---- Now Optimizing
Training Loss : 2.8663e-01 | Validation Loss : 5.0287e-01
Training F1 Macro: 0.8246 | Validation F1 Macro : 0.7692
Training F1 Micro: 0.8233 | Validation F1 Micro : 0.7680
Epoch 16, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8283e-02 | Validation Loss : 3.0750e-02
Training CC : 0.9022 | Validation CC : 0.8913
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8239e-01 | Validation Loss : 4.6863e-01
Training F1 Macro: 0.7883 | Validation F1 Macro : 0.7911
Training F1 Micro: 0.7896 | Validation F1 Micro : 0.7900
Epoch 16, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8408e-02 | Validation Loss : 3.0904e-02
Training CC : 0.9018 | Validation CC : 0.8908
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9966e-01 | Validation Loss : 5.5393e-01
Training F1 Macro: 0.7666 | Validation F1 Macro : 0.7317
Training F1 Micro: 0.7655 | Validation F1 Micro : 0.7280
Epoch 16, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8288e-02 | Validation Loss : 3.1051e-02
Training CC : 0.9018 | Validation CC : 0.8902
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2710e-01 | Validation Loss : 4.4294e-01
Training F1 Macro: 0.8375 | Validation F1 Macro : 0.8005
Training F1 Micro: 0.8408 | Validation F1 Micro : 0.7980
Epoch 17, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8387e-02 | Validation Loss : 3.0717e-02
Training CC : 0.9018 | Validation CC : 0.8924
** Classification Losses **
Training Loss : 3.4569e-01 | Validation Loss : 5.2168e-01
Training F1 Macro: 0.7730 | Validation F1 Macro : 0.7350
Training F1 Micro: 0.8001 | Validation F1 Micro : 0.7320
Epoch 17, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8533e-02 | Validation Loss : 3.0209e-02
Training CC : 0.9027 | Validation CC : 0.8935
** Classification Losses **
Training Loss : 3.6081e-01 | Validation Loss : 5.3385e-01
Training F1 Macro: 0.7791 | Validation F1 Macro : 0.7307
Training F1 Micro: 0.7792 | Validation F1 Micro : 0.7300
Epoch 17, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7652e-02 | Validation Loss : 3.0069e-02
Training CC : 0.9045 | Validation CC : 0.8945
** Classification Losses **
Training Loss : 4.1609e-01 | Validation Loss : 4.8899e-01
Training F1 Macro: 0.7677 | Validation F1 Macro : 0.7652
Training F1 Micro: 0.7726 | Validation F1 Micro : 0.7640
Epoch 17, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7985e-02 | Validation Loss : 2.9846e-02
Training CC : 0.9046 | Validation CC : 0.8952
** Classification Losses **
Training Loss : 3.9889e-01 | Validation Loss : 4.6881e-01
Training F1 Macro: 0.8206 | Validation F1 Macro : 0.7963
Training F1 Micro: 0.8246 | Validation F1 Micro : 0.7980
Epoch 17, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6982e-02 | Validation Loss : 2.9557e-02
Training CC : 0.9067 | Validation CC : 0.8959
** Classification Losses **
Training Loss : 3.0181e-01 | Validation Loss : 4.8571e-01
Training F1 Macro: 0.8351 | Validation F1 Macro : 0.7661
Training F1 Micro: 0.8359 | Validation F1 Micro : 0.7660
Epoch 18, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6800e-02 | Validation Loss : 2.9608e-02
Training CC : 0.9072 | Validation CC : 0.8957
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8673e-01 | Validation Loss : 5.2110e-01
Training F1 Macro: 0.7821 | Validation F1 Macro : 0.7635
Training F1 Micro: 0.7867 | Validation F1 Micro : 0.7620
Epoch 18, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6776e-02 | Validation Loss : 2.9695e-02
Training CC : 0.9072 | Validation CC : 0.8953
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6516e-01 | Validation Loss : 5.1110e-01
Training F1 Macro: 0.8000 | Validation F1 Macro : 0.7565
Training F1 Micro: 0.8068 | Validation F1 Micro : 0.7540
Epoch 18, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7005e-02 | Validation Loss : 2.9821e-02
Training CC : 0.9066 | Validation CC : 0.8948
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4320e-01 | Validation Loss : 4.8077e-01
Training F1 Macro: 0.8234 | Validation F1 Macro : 0.7907
Training F1 Micro: 0.8253 | Validation F1 Micro : 0.7880
Epoch 18, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7406e-02 | Validation Loss : 2.9954e-02
Training CC : 0.9056 | Validation CC : 0.8943
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4701e-01 | Validation Loss : 5.4485e-01
Training F1 Macro: 0.7564 | Validation F1 Macro : 0.7594
Training F1 Micro: 0.7707 | Validation F1 Micro : 0.7560
Epoch 18, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7147e-02 | Validation Loss : 3.0055e-02
Training CC : 0.9059 | Validation CC : 0.8940
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8204e-01 | Validation Loss : 5.2446e-01
Training F1 Macro: 0.7798 | Validation F1 Macro : 0.7596
Training F1 Micro: 0.7806 | Validation F1 Micro : 0.7580
Epoch 19, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7455e-02 | Validation Loss : 2.9704e-02
Training CC : 0.9058 | Validation CC : 0.8956
** Classification Losses **
Training Loss : 3.7615e-01 | Validation Loss : 5.0130e-01
Training F1 Macro: 0.7872 | Validation F1 Macro : 0.7695
Training F1 Micro: 0.7900 | Validation F1 Micro : 0.7660
Epoch 19, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7181e-02 | Validation Loss : 2.9445e-02
Training CC : 0.9068 | Validation CC : 0.8963
** Classification Losses **
Training Loss : 3.0066e-01 | Validation Loss : 4.7235e-01
Training F1 Macro: 0.8207 | Validation F1 Macro : 0.7976
Training F1 Micro: 0.8276 | Validation F1 Micro : 0.7940
Epoch 19, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6452e-02 | Validation Loss : 2.9261e-02
Training CC : 0.9085 | Validation CC : 0.8971
** Classification Losses **
Training Loss : 3.2060e-01 | Validation Loss : 4.8217e-01
Training F1 Macro: 0.8111 | Validation F1 Macro : 0.7676
Training F1 Micro: 0.8118 | Validation F1 Micro : 0.7620
Epoch 19, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6244e-02 | Validation Loss : 2.8989e-02
Training CC : 0.9093 | Validation CC : 0.8981
** Classification Losses **
Training Loss : 3.8329e-01 | Validation Loss : 4.7881e-01
Training F1 Macro: 0.7807 | Validation F1 Macro : 0.7903
Training F1 Micro: 0.8016 | Validation F1 Micro : 0.7880
Epoch 19, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5961e-02 | Validation Loss : 2.8857e-02
Training CC : 0.9103 | Validation CC : 0.8987
** Classification Losses **
Training Loss : 3.5615e-01 | Validation Loss : 5.3346e-01
Training F1 Macro: 0.7937 | Validation F1 Macro : 0.7501
Training F1 Micro: 0.7920 | Validation F1 Micro : 0.7480
Epoch 20, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5748e-02 | Validation Loss : 2.8890e-02
Training CC : 0.9109 | Validation CC : 0.8985
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.6092e-01 | Validation Loss : 5.1605e-01
Training F1 Macro: 0.7485 | Validation F1 Macro : 0.7515
Training F1 Micro: 0.7510 | Validation F1 Micro : 0.7540
Epoch 20, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6108e-02 | Validation Loss : 2.8959e-02
Training CC : 0.9101 | Validation CC : 0.8982
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9065e-01 | Validation Loss : 5.4126e-01
Training F1 Macro: 0.8048 | Validation F1 Macro : 0.7505
Training F1 Micro: 0.8048 | Validation F1 Micro : 0.7480
Epoch 20, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6449e-02 | Validation Loss : 2.9048e-02
Training CC : 0.9095 | Validation CC : 0.8979
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5963e-01 | Validation Loss : 5.3983e-01
Training F1 Macro: 0.7236 | Validation F1 Macro : 0.7492
Training F1 Micro: 0.7261 | Validation F1 Micro : 0.7420
Epoch 20, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6097e-02 | Validation Loss : 2.9164e-02
Training CC : 0.9099 | Validation CC : 0.8974
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.0268e-01 | Validation Loss : 5.0704e-01
Training F1 Macro: 0.8324 | Validation F1 Macro : 0.7579
Training F1 Micro: 0.8447 | Validation F1 Micro : 0.7580
Epoch 20, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6083e-02 | Validation Loss : 2.9301e-02
Training CC : 0.9098 | Validation CC : 0.8969
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1621e-01 | Validation Loss : 5.6059e-01
Training F1 Macro: 0.7865 | Validation F1 Macro : 0.7374
Training F1 Micro: 0.7946 | Validation F1 Micro : 0.7340
Epoch 21, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6073e-02 | Validation Loss : 2.8913e-02
Training CC : 0.9099 | Validation CC : 0.8985
** Classification Losses **
Training Loss : 4.3218e-01 | Validation Loss : 5.3801e-01
Training F1 Macro: 0.7547 | Validation F1 Macro : 0.7443
Training F1 Micro: 0.7598 | Validation F1 Micro : 0.7400
Epoch 21, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6458e-02 | Validation Loss : 2.8830e-02
Training CC : 0.9100 | Validation CC : 0.8989
** Classification Losses **
Training Loss : 3.2016e-01 | Validation Loss : 4.5355e-01
Training F1 Macro: 0.8140 | Validation F1 Macro : 0.7886
Training F1 Micro: 0.8307 | Validation F1 Micro : 0.7860
Epoch 21, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5541e-02 | Validation Loss : 2.8582e-02
Training CC : 0.9119 | Validation CC : 0.8995
** Classification Losses **
Training Loss : 4.2739e-01 | Validation Loss : 5.3399e-01
Training F1 Macro: 0.7395 | Validation F1 Macro : 0.7459
Training F1 Micro: 0.7479 | Validation F1 Micro : 0.7440
Epoch 21, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5826e-02 | Validation Loss : 2.8549e-02
Training CC : 0.9118 | Validation CC : 0.9002
** Classification Losses **
Training Loss : 3.8138e-01 | Validation Loss : 5.5683e-01
Training F1 Macro: 0.8015 | Validation F1 Macro : 0.7454
Training F1 Micro: 0.8048 | Validation F1 Micro : 0.7400
Epoch 21, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5512e-02 | Validation Loss : 2.8287e-02
Training CC : 0.9126 | Validation CC : 0.9008
** Classification Losses **
Training Loss : 3.4386e-01 | Validation Loss : 5.4566e-01
Training F1 Macro: 0.8205 | Validation F1 Macro : 0.7415
Training F1 Micro: 0.8208 | Validation F1 Micro : 0.7400
Epoch 22, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5443e-02 | Validation Loss : 2.8354e-02
Training CC : 0.9127 | Validation CC : 0.9005
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3610e-01 | Validation Loss : 5.1176e-01
Training F1 Macro: 0.8043 | Validation F1 Macro : 0.7552
Training F1 Micro: 0.7988 | Validation F1 Micro : 0.7520
Epoch 22, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5059e-02 | Validation Loss : 2.8417e-02
Training CC : 0.9134 | Validation CC : 0.9003
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9074e-01 | Validation Loss : 5.1099e-01
Training F1 Macro: 0.7833 | Validation F1 Macro : 0.7632
Training F1 Micro: 0.7941 | Validation F1 Micro : 0.7580
Epoch 22, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5147e-02 | Validation Loss : 2.8518e-02
Training CC : 0.9131 | Validation CC : 0.8999
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1938e-01 | Validation Loss : 5.1818e-01
Training F1 Macro: 0.7644 | Validation F1 Macro : 0.7705
Training F1 Micro: 0.7602 | Validation F1 Micro : 0.7700
Epoch 22, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5199e-02 | Validation Loss : 2.8626e-02
Training CC : 0.9128 | Validation CC : 0.8994
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5925e-01 | Validation Loss : 5.0057e-01
Training F1 Macro: 0.7944 | Validation F1 Macro : 0.7792
Training F1 Micro: 0.8082 | Validation F1 Micro : 0.7760
Epoch 22, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5400e-02 | Validation Loss : 2.8719e-02
Training CC : 0.9123 | Validation CC : 0.8991
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5009e-01 | Validation Loss : 5.0703e-01
Training F1 Macro: 0.7851 | Validation F1 Macro : 0.7667
Training F1 Micro: 0.7828 | Validation F1 Micro : 0.7620
Epoch 23, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5126e-02 | Validation Loss : 2.8312e-02
Training CC : 0.9131 | Validation CC : 0.9008
** Classification Losses **
Training Loss : 4.1306e-01 | Validation Loss : 5.0534e-01
Training F1 Macro: 0.7735 | Validation F1 Macro : 0.7730
Training F1 Micro: 0.7640 | Validation F1 Micro : 0.7700
Epoch 23, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5544e-02 | Validation Loss : 2.8078e-02
Training CC : 0.9130 | Validation CC : 0.9015
** Classification Losses **
Training Loss : 3.8431e-01 | Validation Loss : 4.9718e-01
Training F1 Macro: 0.7915 | Validation F1 Macro : 0.7796
Training F1 Micro: 0.7930 | Validation F1 Micro : 0.7700
Epoch 23, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4675e-02 | Validation Loss : 2.8047e-02
Training CC : 0.9148 | Validation CC : 0.9017
** Classification Losses **
Training Loss : 3.7704e-01 | Validation Loss : 4.9967e-01
Training F1 Macro: 0.8110 | Validation F1 Macro : 0.7722
Training F1 Micro: 0.8103 | Validation F1 Micro : 0.7660
Epoch 23, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4606e-02 | Validation Loss : 2.7854e-02
Training CC : 0.9153 | Validation CC : 0.9023
** Classification Losses **
Training Loss : 3.6805e-01 | Validation Loss : 5.9546e-01
Training F1 Macro: 0.8066 | Validation F1 Macro : 0.7074
Training F1 Micro: 0.8010 | Validation F1 Micro : 0.7000
Epoch 23, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4775e-02 | Validation Loss : 2.7779e-02
Training CC : 0.9153 | Validation CC : 0.9025
** Classification Losses **
Training Loss : 4.3561e-01 | Validation Loss : 5.3773e-01
Training F1 Macro: 0.7719 | Validation F1 Macro : 0.7658
Training F1 Micro: 0.7708 | Validation F1 Micro : 0.7600
Epoch 24, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4401e-02 | Validation Loss : 2.7843e-02
Training CC : 0.9161 | Validation CC : 0.9022
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2192e-01 | Validation Loss : 5.4809e-01
Training F1 Macro: 0.8259 | Validation F1 Macro : 0.7431
Training F1 Micro: 0.8376 | Validation F1 Micro : 0.7380
Epoch 24, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4454e-02 | Validation Loss : 2.7929e-02
Training CC : 0.9159 | Validation CC : 0.9019
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4403e-01 | Validation Loss : 5.3428e-01
Training F1 Macro: 0.7793 | Validation F1 Macro : 0.7772
Training F1 Micro: 0.7732 | Validation F1 Micro : 0.7740
Epoch 24, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4742e-02 | Validation Loss : 2.8067e-02
Training CC : 0.9152 | Validation CC : 0.9014
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9136e-01 | Validation Loss : 5.0610e-01
Training F1 Macro: 0.7871 | Validation F1 Macro : 0.7691
Training F1 Micro: 0.7865 | Validation F1 Micro : 0.7620
Epoch 24, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4886e-02 | Validation Loss : 2.8194e-02
Training CC : 0.9146 | Validation CC : 0.9009
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5612e-01 | Validation Loss : 5.1931e-01
Training F1 Macro: 0.7761 | Validation F1 Macro : 0.7658
Training F1 Micro: 0.7747 | Validation F1 Micro : 0.7600
Epoch 24, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5033e-02 | Validation Loss : 2.8307e-02
Training CC : 0.9141 | Validation CC : 0.9005
** Classification Losses ** <---- Now Optimizing
Training Loss : 2.8672e-01 | Validation Loss : 4.8604e-01
Training F1 Macro: 0.8366 | Validation F1 Macro : 0.7609
Training F1 Micro: 0.8506 | Validation F1 Micro : 0.7500
Epoch 25, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4740e-02 | Validation Loss : 2.8057e-02
Training CC : 0.9150 | Validation CC : 0.9024
** Classification Losses **
Training Loss : 3.6654e-01 | Validation Loss : 5.1846e-01
Training F1 Macro: 0.8176 | Validation F1 Macro : 0.7459
Training F1 Micro: 0.8113 | Validation F1 Micro : 0.7340
Epoch 25, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4602e-02 | Validation Loss : 2.7742e-02
Training CC : 0.9156 | Validation CC : 0.9026
** Classification Losses **
Training Loss : 3.4383e-01 | Validation Loss : 5.3204e-01
Training F1 Macro: 0.8370 | Validation F1 Macro : 0.7348
Training F1 Micro: 0.8309 | Validation F1 Micro : 0.7280
Epoch 25, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4253e-02 | Validation Loss : 2.7607e-02
Training CC : 0.9165 | Validation CC : 0.9034
** Classification Losses **
Training Loss : 4.7168e-01 | Validation Loss : 5.6823e-01
Training F1 Macro: 0.7500 | Validation F1 Macro : 0.7383
Training F1 Micro: 0.7404 | Validation F1 Micro : 0.7260
Epoch 25, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4558e-02 | Validation Loss : 2.7400e-02
Training CC : 0.9164 | Validation CC : 0.9038
** Classification Losses **
Training Loss : 3.3976e-01 | Validation Loss : 5.6106e-01
Training F1 Macro: 0.8339 | Validation F1 Macro : 0.7432
Training F1 Micro: 0.8197 | Validation F1 Micro : 0.7340
Epoch 25, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3952e-02 | Validation Loss : 2.7424e-02
Training CC : 0.9178 | Validation CC : 0.9044
** Classification Losses **
Training Loss : 3.2210e-01 | Validation Loss : 5.0968e-01
Training F1 Macro: 0.8423 | Validation F1 Macro : 0.7620
Training F1 Micro: 0.8343 | Validation F1 Micro : 0.7540
Epoch 1, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.9868e-01 | Validation Loss : 3.5887e-01
Training CC : 0.2341 | Validation CC : 0.5114
** Classification Losses **
Training Loss : 1.4959e+00 | Validation Loss : 1.5120e+00
Training F1 Macro: 0.2154 | Validation F1 Macro : 0.1523
Training F1 Micro: 0.2387 | Validation F1 Micro : 0.1720
Epoch 1, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9894e-01 | Validation Loss : 2.1681e-01
Training CC : 0.5923 | Validation CC : 0.6760
** Classification Losses **
Training Loss : 1.5420e+00 | Validation Loss : 1.4904e+00
Training F1 Macro: 0.1430 | Validation F1 Macro : 0.1566
Training F1 Micro: 0.1549 | Validation F1 Micro : 0.1720
Epoch 1, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.7912e-01 | Validation Loss : 1.2794e-01
Training CC : 0.7241 | Validation CC : 0.7642
** Classification Losses **
Training Loss : 1.5262e+00 | Validation Loss : 1.4808e+00
Training F1 Macro: 0.1778 | Validation F1 Macro : 0.1743
Training F1 Micro: 0.1783 | Validation F1 Micro : 0.1920
Epoch 1, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.0543e-01 | Validation Loss : 7.7546e-02
Training CC : 0.7856 | Validation CC : 0.7990
** Classification Losses **
Training Loss : 1.5020e+00 | Validation Loss : 1.4967e+00
Training F1 Macro: 0.1304 | Validation F1 Macro : 0.1842
Training F1 Micro: 0.1478 | Validation F1 Micro : 0.1980
Epoch 1, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 6.6392e-02 | Validation Loss : 5.3870e-02
Training CC : 0.8123 | Validation CC : 0.8174
** Classification Losses **
Training Loss : 1.4912e+00 | Validation Loss : 1.4790e+00
Training F1 Macro: 0.1783 | Validation F1 Macro : 0.1976
Training F1 Micro: 0.1963 | Validation F1 Micro : 0.2100
Epoch 2, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 5.7524e-02 | Validation Loss : 6.7557e-02
Training CC : 0.8072 | Validation CC : 0.7616
** Classification Losses ** <---- Now Optimizing
Training Loss : 1.3672e+00 | Validation Loss : 1.1986e+00
Training F1 Macro: 0.2846 | Validation F1 Macro : 0.4786
Training F1 Micro: 0.3063 | Validation F1 Micro : 0.4860
Epoch 2, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 7.6205e-02 | Validation Loss : 8.5809e-02
Training CC : 0.7305 | Validation CC : 0.6858
** Classification Losses ** <---- Now Optimizing
Training Loss : 1.0008e+00 | Validation Loss : 1.0349e+00
Training F1 Macro: 0.7001 | Validation F1 Macro : 0.6226
Training F1 Micro: 0.6974 | Validation F1 Micro : 0.6300
Epoch 2, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 8.5313e-02 | Validation Loss : 7.9742e-02
Training CC : 0.6935 | Validation CC : 0.7114
** Classification Losses ** <---- Now Optimizing
Training Loss : 8.4318e-01 | Validation Loss : 9.2819e-01
Training F1 Macro: 0.7171 | Validation F1 Macro : 0.6649
Training F1 Micro: 0.7267 | Validation F1 Micro : 0.6760
Epoch 2, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 7.6074e-02 | Validation Loss : 7.4245e-02
Training CC : 0.7335 | Validation CC : 0.7381
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.6416e-01 | Validation Loss : 8.4691e-01
Training F1 Macro: 0.7943 | Validation F1 Macro : 0.6920
Training F1 Micro: 0.8039 | Validation F1 Micro : 0.6860
Epoch 2, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 7.7031e-02 | Validation Loss : 8.4320e-02
Training CC : 0.7326 | Validation CC : 0.6946
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.8200e-01 | Validation Loss : 7.7217e-01
Training F1 Macro: 0.7788 | Validation F1 Macro : 0.7074
Training F1 Micro: 0.7856 | Validation F1 Micro : 0.7100
Epoch 3, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 6.2718e-02 | Validation Loss : 5.5049e-02
Training CC : 0.7832 | Validation CC : 0.8115
** Classification Losses **
Training Loss : 6.1116e-01 | Validation Loss : 8.3978e-01
Training F1 Macro: 0.7811 | Validation F1 Macro : 0.6925
Training F1 Micro: 0.7712 | Validation F1 Micro : 0.6940
Epoch 3, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.9501e-02 | Validation Loss : 4.6884e-02
Training CC : 0.8267 | Validation CC : 0.8299
** Classification Losses **
Training Loss : 6.3505e-01 | Validation Loss : 8.2340e-01
Training F1 Macro: 0.7810 | Validation F1 Macro : 0.7192
Training F1 Micro: 0.7786 | Validation F1 Micro : 0.7180
Epoch 3, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.5087e-02 | Validation Loss : 4.3537e-02
Training CC : 0.8395 | Validation CC : 0.8460
** Classification Losses **
Training Loss : 6.1292e-01 | Validation Loss : 8.7064e-01
Training F1 Macro: 0.8223 | Validation F1 Macro : 0.6760
Training F1 Micro: 0.8272 | Validation F1 Micro : 0.6840
Epoch 3, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.2009e-02 | Validation Loss : 4.1736e-02
Training CC : 0.8532 | Validation CC : 0.8528
** Classification Losses **
Training Loss : 6.7075e-01 | Validation Loss : 8.3070e-01
Training F1 Macro: 0.7555 | Validation F1 Macro : 0.7007
Training F1 Micro: 0.7645 | Validation F1 Micro : 0.7000
Epoch 3, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.9915e-02 | Validation Loss : 3.9228e-02
Training CC : 0.8598 | Validation CC : 0.8595
** Classification Losses **
Training Loss : 6.6677e-01 | Validation Loss : 8.6318e-01
Training F1 Macro: 0.7830 | Validation F1 Macro : 0.6562
Training F1 Micro: 0.7799 | Validation F1 Micro : 0.6560
Epoch 4, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.9108e-02 | Validation Loss : 4.2105e-02
Training CC : 0.8618 | Validation CC : 0.8503
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.2480e-01 | Validation Loss : 7.5823e-01
Training F1 Macro: 0.7761 | Validation F1 Macro : 0.7091
Training F1 Micro: 0.7890 | Validation F1 Micro : 0.7120
Epoch 4, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.5343e-02 | Validation Loss : 5.1984e-02
Training CC : 0.8429 | Validation CC : 0.8168
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.8951e-01 | Validation Loss : 6.8570e-01
Training F1 Macro: 0.8321 | Validation F1 Macro : 0.7330
Training F1 Micro: 0.8384 | Validation F1 Micro : 0.7360
Epoch 4, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 5.6140e-02 | Validation Loss : 6.1337e-02
Training CC : 0.8052 | Validation CC : 0.7810
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2696e-01 | Validation Loss : 6.3935e-01
Training F1 Macro: 0.8316 | Validation F1 Macro : 0.7501
Training F1 Micro: 0.8233 | Validation F1 Micro : 0.7520
Epoch 4, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 6.3185e-02 | Validation Loss : 6.5445e-02
Training CC : 0.7778 | Validation CC : 0.7651
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8988e-01 | Validation Loss : 6.4374e-01
Training F1 Macro: 0.8460 | Validation F1 Macro : 0.7107
Training F1 Micro: 0.8530 | Validation F1 Micro : 0.7160
Epoch 4, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 6.5909e-02 | Validation Loss : 6.6261e-02
Training CC : 0.7682 | Validation CC : 0.7636
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5947e-01 | Validation Loss : 6.3093e-01
Training F1 Macro: 0.7687 | Validation F1 Macro : 0.7291
Training F1 Micro: 0.7694 | Validation F1 Micro : 0.7300
Epoch 5, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.9984e-02 | Validation Loss : 4.2499e-02
Training CC : 0.8219 | Validation CC : 0.8537
** Classification Losses **
Training Loss : 4.0114e-01 | Validation Loss : 6.5621e-01
Training F1 Macro: 0.8202 | Validation F1 Macro : 0.7205
Training F1 Micro: 0.8288 | Validation F1 Micro : 0.7180
Epoch 5, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.2735e-02 | Validation Loss : 4.1410e-02
Training CC : 0.8569 | Validation CC : 0.8545
** Classification Losses **
Training Loss : 5.0873e-01 | Validation Loss : 6.5917e-01
Training F1 Macro: 0.7505 | Validation F1 Macro : 0.7221
Training F1 Micro: 0.7652 | Validation F1 Micro : 0.7200
Epoch 5, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.9162e-02 | Validation Loss : 3.8922e-02
Training CC : 0.8627 | Validation CC : 0.8607
** Classification Losses **
Training Loss : 4.6297e-01 | Validation Loss : 6.4654e-01
Training F1 Macro: 0.7912 | Validation F1 Macro : 0.7389
Training F1 Micro: 0.7895 | Validation F1 Micro : 0.7400
Epoch 5, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.7997e-02 | Validation Loss : 3.6831e-02
Training CC : 0.8677 | Validation CC : 0.8684
** Classification Losses **
Training Loss : 4.6415e-01 | Validation Loss : 6.9991e-01
Training F1 Macro: 0.7792 | Validation F1 Macro : 0.6991
Training F1 Micro: 0.7968 | Validation F1 Micro : 0.7020
Epoch 5, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.5807e-02 | Validation Loss : 3.5887e-02
Training CC : 0.8743 | Validation CC : 0.8722
** Classification Losses **
Training Loss : 4.2755e-01 | Validation Loss : 6.7651e-01
Training F1 Macro: 0.8212 | Validation F1 Macro : 0.7310
Training F1 Micro: 0.8231 | Validation F1 Micro : 0.7300
Epoch 6, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.5257e-02 | Validation Loss : 3.5864e-02
Training CC : 0.8762 | Validation CC : 0.8718
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.8743e-01 | Validation Loss : 6.2164e-01
Training F1 Macro: 0.7657 | Validation F1 Macro : 0.7424
Training F1 Micro: 0.7802 | Validation F1 Micro : 0.7400
Epoch 6, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.5719e-02 | Validation Loss : 3.6366e-02
Training CC : 0.8746 | Validation CC : 0.8699
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4860e-01 | Validation Loss : 6.0388e-01
Training F1 Macro: 0.8592 | Validation F1 Macro : 0.7506
Training F1 Micro: 0.8557 | Validation F1 Micro : 0.7500
Epoch 6, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.6532e-02 | Validation Loss : 3.7169e-02
Training CC : 0.8721 | Validation CC : 0.8671
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.2055e-01 | Validation Loss : 5.9445e-01
Training F1 Macro: 0.7539 | Validation F1 Macro : 0.7273
Training F1 Micro: 0.7464 | Validation F1 Micro : 0.7340
Epoch 6, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.6998e-02 | Validation Loss : 3.8012e-02
Training CC : 0.8699 | Validation CC : 0.8641
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5879e-01 | Validation Loss : 5.9490e-01
Training F1 Macro: 0.7653 | Validation F1 Macro : 0.7406
Training F1 Micro: 0.7656 | Validation F1 Micro : 0.7400
Epoch 6, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.8020e-02 | Validation Loss : 3.8724e-02
Training CC : 0.8667 | Validation CC : 0.8618
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7517e-01 | Validation Loss : 5.6518e-01
Training F1 Macro: 0.8356 | Validation F1 Macro : 0.7430
Training F1 Micro: 0.8350 | Validation F1 Micro : 0.7420
Epoch 7, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.6804e-02 | Validation Loss : 3.5862e-02
Training CC : 0.8708 | Validation CC : 0.8725
** Classification Losses **
Training Loss : 3.9547e-01 | Validation Loss : 5.7111e-01
Training F1 Macro: 0.8014 | Validation F1 Macro : 0.7367
Training F1 Micro: 0.8050 | Validation F1 Micro : 0.7420
Epoch 7, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.4710e-02 | Validation Loss : 3.5063e-02
Training CC : 0.8784 | Validation CC : 0.8760
** Classification Losses **
Training Loss : 3.0799e-01 | Validation Loss : 5.7857e-01
Training F1 Macro: 0.8529 | Validation F1 Macro : 0.7426
Training F1 Micro: 0.8580 | Validation F1 Micro : 0.7440
Epoch 7, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.3640e-02 | Validation Loss : 3.4017e-02
Training CC : 0.8822 | Validation CC : 0.8793
** Classification Losses **
Training Loss : 4.4996e-01 | Validation Loss : 5.7966e-01
Training F1 Macro: 0.7333 | Validation F1 Macro : 0.7425
Training F1 Micro: 0.7511 | Validation F1 Micro : 0.7420
Epoch 7, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2802e-02 | Validation Loss : 3.3093e-02
Training CC : 0.8850 | Validation CC : 0.8824
** Classification Losses **
Training Loss : 3.8231e-01 | Validation Loss : 6.1486e-01
Training F1 Macro: 0.8022 | Validation F1 Macro : 0.7124
Training F1 Micro: 0.8067 | Validation F1 Micro : 0.7140
Epoch 7, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2528e-02 | Validation Loss : 3.2509e-02
Training CC : 0.8871 | Validation CC : 0.8846
** Classification Losses **
Training Loss : 3.6199e-01 | Validation Loss : 6.1090e-01
Training F1 Macro: 0.8441 | Validation F1 Macro : 0.7329
Training F1 Micro: 0.8395 | Validation F1 Micro : 0.7340
Epoch 8, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1731e-02 | Validation Loss : 3.2591e-02
Training CC : 0.8891 | Validation CC : 0.8842
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.1988e-01 | Validation Loss : 5.7798e-01
Training F1 Macro: 0.8403 | Validation F1 Macro : 0.7386
Training F1 Micro: 0.8425 | Validation F1 Micro : 0.7360
Epoch 8, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.2021e-02 | Validation Loss : 3.2921e-02
Training CC : 0.8883 | Validation CC : 0.8832
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2939e-01 | Validation Loss : 5.5297e-01
Training F1 Macro: 0.7682 | Validation F1 Macro : 0.7520
Training F1 Micro: 0.7672 | Validation F1 Micro : 0.7500
Epoch 8, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.2534e-02 | Validation Loss : 3.3285e-02
Training CC : 0.8870 | Validation CC : 0.8821
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4085e-01 | Validation Loss : 5.4931e-01
Training F1 Macro: 0.7781 | Validation F1 Macro : 0.7349
Training F1 Micro: 0.7799 | Validation F1 Micro : 0.7340
Epoch 8, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.2680e-02 | Validation Loss : 3.3525e-02
Training CC : 0.8864 | Validation CC : 0.8814
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5246e-01 | Validation Loss : 5.5338e-01
Training F1 Macro: 0.8065 | Validation F1 Macro : 0.7403
Training F1 Micro: 0.8026 | Validation F1 Micro : 0.7380
Epoch 8, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.2905e-02 | Validation Loss : 3.3663e-02
Training CC : 0.8857 | Validation CC : 0.8809
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.1217e-01 | Validation Loss : 5.7205e-01
Training F1 Macro: 0.6954 | Validation F1 Macro : 0.7394
Training F1 Micro: 0.6889 | Validation F1 Micro : 0.7320
Epoch 9, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2292e-02 | Validation Loss : 3.2444e-02
Training CC : 0.8874 | Validation CC : 0.8849
** Classification Losses **
Training Loss : 4.5104e-01 | Validation Loss : 5.7489e-01
Training F1 Macro: 0.7818 | Validation F1 Macro : 0.7520
Training F1 Micro: 0.7745 | Validation F1 Micro : 0.7420
Epoch 9, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.1402e-02 | Validation Loss : 3.2005e-02
Training CC : 0.8904 | Validation CC : 0.8869
** Classification Losses **
Training Loss : 4.7377e-01 | Validation Loss : 6.0845e-01
Training F1 Macro: 0.7893 | Validation F1 Macro : 0.7290
Training F1 Micro: 0.7807 | Validation F1 Micro : 0.7280
Epoch 9, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0853e-02 | Validation Loss : 3.1329e-02
Training CC : 0.8924 | Validation CC : 0.8890
** Classification Losses **
Training Loss : 4.2474e-01 | Validation Loss : 5.8508e-01
Training F1 Macro: 0.7916 | Validation F1 Macro : 0.7346
Training F1 Micro: 0.7944 | Validation F1 Micro : 0.7320
Epoch 9, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0168e-02 | Validation Loss : 3.0800e-02
Training CC : 0.8947 | Validation CC : 0.8910
** Classification Losses **
Training Loss : 4.5395e-01 | Validation Loss : 6.1173e-01
Training F1 Macro: 0.7866 | Validation F1 Macro : 0.7230
Training F1 Micro: 0.7772 | Validation F1 Micro : 0.7180
Epoch 9, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9666e-02 | Validation Loss : 3.0416e-02
Training CC : 0.8965 | Validation CC : 0.8925
** Classification Losses **
Training Loss : 3.1989e-01 | Validation Loss : 6.3724e-01
Training F1 Macro: 0.8191 | Validation F1 Macro : 0.7139
Training F1 Micro: 0.8566 | Validation F1 Micro : 0.7080
Epoch 10, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9468e-02 | Validation Loss : 3.0454e-02
Training CC : 0.8973 | Validation CC : 0.8923
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9924e-01 | Validation Loss : 6.1870e-01
Training F1 Macro: 0.8160 | Validation F1 Macro : 0.7138
Training F1 Micro: 0.8212 | Validation F1 Micro : 0.7080
Epoch 10, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9873e-02 | Validation Loss : 3.0533e-02
Training CC : 0.8965 | Validation CC : 0.8920
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9818e-01 | Validation Loss : 5.7746e-01
Training F1 Macro: 0.8172 | Validation F1 Macro : 0.7504
Training F1 Micro: 0.8250 | Validation F1 Micro : 0.7420
Epoch 10, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9703e-02 | Validation Loss : 3.0694e-02
Training CC : 0.8966 | Validation CC : 0.8914
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9220e-01 | Validation Loss : 5.7774e-01
Training F1 Macro: 0.8002 | Validation F1 Macro : 0.7335
Training F1 Micro: 0.8072 | Validation F1 Micro : 0.7280
Epoch 10, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9876e-02 | Validation Loss : 3.0862e-02
Training CC : 0.8960 | Validation CC : 0.8908
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8278e-01 | Validation Loss : 6.0605e-01
Training F1 Macro: 0.8269 | Validation F1 Macro : 0.7229
Training F1 Micro: 0.8282 | Validation F1 Micro : 0.7140
Epoch 10, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.0345e-02 | Validation Loss : 3.1008e-02
Training CC : 0.8949 | Validation CC : 0.8903
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9609e-01 | Validation Loss : 5.9640e-01
Training F1 Macro: 0.8165 | Validation F1 Macro : 0.7227
Training F1 Micro: 0.8105 | Validation F1 Micro : 0.7160
Epoch 11, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9808e-02 | Validation Loss : 3.0377e-02
Training CC : 0.8964 | Validation CC : 0.8927
** Classification Losses **
Training Loss : 3.0554e-01 | Validation Loss : 5.7922e-01
Training F1 Macro: 0.8548 | Validation F1 Macro : 0.7340
Training F1 Micro: 0.8500 | Validation F1 Micro : 0.7240
Epoch 11, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9369e-02 | Validation Loss : 2.9996e-02
Training CC : 0.8982 | Validation CC : 0.8941
** Classification Losses **
Training Loss : 4.2997e-01 | Validation Loss : 5.9309e-01
Training F1 Macro: 0.8005 | Validation F1 Macro : 0.7159
Training F1 Micro: 0.7903 | Validation F1 Micro : 0.7100
Epoch 11, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8731e-02 | Validation Loss : 2.9536e-02
Training CC : 0.9000 | Validation CC : 0.8958
** Classification Losses **
Training Loss : 3.9716e-01 | Validation Loss : 6.1202e-01
Training F1 Macro: 0.8138 | Validation F1 Macro : 0.7350
Training F1 Micro: 0.8132 | Validation F1 Micro : 0.7300
Epoch 11, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8349e-02 | Validation Loss : 2.9123e-02
Training CC : 0.9016 | Validation CC : 0.8973
** Classification Losses **
Training Loss : 4.1883e-01 | Validation Loss : 6.1556e-01
Training F1 Macro: 0.7854 | Validation F1 Macro : 0.7442
Training F1 Micro: 0.7831 | Validation F1 Micro : 0.7360
Epoch 11, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8070e-02 | Validation Loss : 2.8861e-02
Training CC : 0.9028 | Validation CC : 0.8984
** Classification Losses **
Training Loss : 4.5925e-01 | Validation Loss : 5.7806e-01
Training F1 Macro: 0.7894 | Validation F1 Macro : 0.7415
Training F1 Micro: 0.7886 | Validation F1 Micro : 0.7400
Epoch 12, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7748e-02 | Validation Loss : 2.8881e-02
Training CC : 0.9037 | Validation CC : 0.8982
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4974e-01 | Validation Loss : 5.9102e-01
Training F1 Macro: 0.8305 | Validation F1 Macro : 0.7206
Training F1 Micro: 0.8291 | Validation F1 Micro : 0.7240
Epoch 12, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7972e-02 | Validation Loss : 2.8964e-02
Training CC : 0.9032 | Validation CC : 0.8979
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7413e-01 | Validation Loss : 6.1996e-01
Training F1 Macro: 0.8261 | Validation F1 Macro : 0.7375
Training F1 Micro: 0.8127 | Validation F1 Micro : 0.7300
Epoch 12, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7918e-02 | Validation Loss : 2.9090e-02
Training CC : 0.9031 | Validation CC : 0.8974
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8635e-01 | Validation Loss : 5.4232e-01
Training F1 Macro: 0.8161 | Validation F1 Macro : 0.7701
Training F1 Micro: 0.8171 | Validation F1 Micro : 0.7680
Epoch 12, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8259e-02 | Validation Loss : 2.9237e-02
Training CC : 0.9022 | Validation CC : 0.8969
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2958e-01 | Validation Loss : 5.9202e-01
Training F1 Macro: 0.8497 | Validation F1 Macro : 0.7324
Training F1 Micro: 0.8476 | Validation F1 Micro : 0.7280
Epoch 12, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8223e-02 | Validation Loss : 2.9382e-02
Training CC : 0.9021 | Validation CC : 0.8964
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6315e-01 | Validation Loss : 5.8186e-01
Training F1 Macro: 0.8234 | Validation F1 Macro : 0.7367
Training F1 Micro: 0.8231 | Validation F1 Micro : 0.7320
Epoch 13, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8134e-02 | Validation Loss : 2.8963e-02
Training CC : 0.9027 | Validation CC : 0.8982
** Classification Losses **
Training Loss : 3.8270e-01 | Validation Loss : 5.8828e-01
Training F1 Macro: 0.7979 | Validation F1 Macro : 0.7441
Training F1 Micro: 0.7924 | Validation F1 Micro : 0.7420
Epoch 13, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7525e-02 | Validation Loss : 2.8481e-02
Training CC : 0.9044 | Validation CC : 0.8998
** Classification Losses **
Training Loss : 3.2745e-01 | Validation Loss : 5.9597e-01
Training F1 Macro: 0.8151 | Validation F1 Macro : 0.7432
Training F1 Micro: 0.8204 | Validation F1 Micro : 0.7400
Epoch 13, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7157e-02 | Validation Loss : 2.8134e-02
Training CC : 0.9058 | Validation CC : 0.9010
** Classification Losses **
Training Loss : 3.3307e-01 | Validation Loss : 5.7624e-01
Training F1 Macro: 0.8549 | Validation F1 Macro : 0.7504
Training F1 Micro: 0.8509 | Validation F1 Micro : 0.7460
Epoch 13, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7042e-02 | Validation Loss : 2.7922e-02
Training CC : 0.9067 | Validation CC : 0.9019
** Classification Losses **
Training Loss : 3.6568e-01 | Validation Loss : 6.0325e-01
Training F1 Macro: 0.8200 | Validation F1 Macro : 0.7256
Training F1 Micro: 0.8160 | Validation F1 Micro : 0.7200
Epoch 13, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6641e-02 | Validation Loss : 2.7683e-02
Training CC : 0.9078 | Validation CC : 0.9027
** Classification Losses **
Training Loss : 3.4737e-01 | Validation Loss : 6.1237e-01
Training F1 Macro: 0.8691 | Validation F1 Macro : 0.7248
Training F1 Micro: 0.8648 | Validation F1 Micro : 0.7260
Epoch 14, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6457e-02 | Validation Loss : 2.7735e-02
Training CC : 0.9085 | Validation CC : 0.9025
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6110e-01 | Validation Loss : 5.7326e-01
Training F1 Macro: 0.8376 | Validation F1 Macro : 0.7431
Training F1 Micro: 0.8312 | Validation F1 Micro : 0.7400
Epoch 14, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6560e-02 | Validation Loss : 2.7842e-02
Training CC : 0.9081 | Validation CC : 0.9021
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8576e-01 | Validation Loss : 6.0416e-01
Training F1 Macro: 0.8283 | Validation F1 Macro : 0.7324
Training F1 Micro: 0.8185 | Validation F1 Micro : 0.7280
Epoch 14, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6702e-02 | Validation Loss : 2.7966e-02
Training CC : 0.9078 | Validation CC : 0.9017
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1421e-01 | Validation Loss : 5.9153e-01
Training F1 Macro: 0.7855 | Validation F1 Macro : 0.7291
Training F1 Micro: 0.7785 | Validation F1 Micro : 0.7240
Epoch 14, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6775e-02 | Validation Loss : 2.8038e-02
Training CC : 0.9075 | Validation CC : 0.9014
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2271e-01 | Validation Loss : 6.3040e-01
Training F1 Macro: 0.7825 | Validation F1 Macro : 0.7266
Training F1 Micro: 0.7767 | Validation F1 Micro : 0.7200
Epoch 14, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6883e-02 | Validation Loss : 2.8090e-02
Training CC : 0.9072 | Validation CC : 0.9012
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.0265e-01 | Validation Loss : 5.4581e-01
Training F1 Macro: 0.8296 | Validation F1 Macro : 0.7564
Training F1 Micro: 0.8238 | Validation F1 Micro : 0.7500
Epoch 15, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7095e-02 | Validation Loss : 2.7683e-02
Training CC : 0.9072 | Validation CC : 0.9028
** Classification Losses **
Training Loss : 4.2116e-01 | Validation Loss : 6.0582e-01
Training F1 Macro: 0.7980 | Validation F1 Macro : 0.7243
Training F1 Micro: 0.7944 | Validation F1 Micro : 0.7180
Epoch 15, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6216e-02 | Validation Loss : 2.7391e-02
Training CC : 0.9093 | Validation CC : 0.9039
** Classification Losses **
Training Loss : 4.6899e-01 | Validation Loss : 6.3304e-01
Training F1 Macro: 0.7785 | Validation F1 Macro : 0.6945
Training F1 Micro: 0.7825 | Validation F1 Micro : 0.6920
Epoch 15, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6014e-02 | Validation Loss : 2.7109e-02
Training CC : 0.9102 | Validation CC : 0.9048
** Classification Losses **
Training Loss : 3.8121e-01 | Validation Loss : 5.9040e-01
Training F1 Macro: 0.8145 | Validation F1 Macro : 0.7365
Training F1 Micro: 0.8025 | Validation F1 Micro : 0.7320
Epoch 15, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5632e-02 | Validation Loss : 2.6951e-02
Training CC : 0.9113 | Validation CC : 0.9055
** Classification Losses **
Training Loss : 4.0933e-01 | Validation Loss : 6.5076e-01
Training F1 Macro: 0.8071 | Validation F1 Macro : 0.7079
Training F1 Micro: 0.8157 | Validation F1 Micro : 0.7040
Epoch 15, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5521e-02 | Validation Loss : 2.6710e-02
Training CC : 0.9119 | Validation CC : 0.9063
** Classification Losses **
Training Loss : 3.4909e-01 | Validation Loss : 6.3893e-01
Training F1 Macro: 0.8238 | Validation F1 Macro : 0.7127
Training F1 Micro: 0.8147 | Validation F1 Micro : 0.7100
Epoch 16, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5418e-02 | Validation Loss : 2.6754e-02
Training CC : 0.9124 | Validation CC : 0.9061
** Classification Losses ** <---- Now Optimizing
Training Loss : 2.8644e-01 | Validation Loss : 6.7240e-01
Training F1 Macro: 0.8745 | Validation F1 Macro : 0.6953
Training F1 Micro: 0.8670 | Validation F1 Micro : 0.7000
Epoch 16, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5637e-02 | Validation Loss : 2.6845e-02
Training CC : 0.9119 | Validation CC : 0.9058
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5535e-01 | Validation Loss : 5.7341e-01
Training F1 Macro: 0.7957 | Validation F1 Macro : 0.7283
Training F1 Micro: 0.7828 | Validation F1 Micro : 0.7240
Epoch 16, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5411e-02 | Validation Loss : 2.6972e-02
Training CC : 0.9122 | Validation CC : 0.9054
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2847e-01 | Validation Loss : 6.2173e-01
Training F1 Macro: 0.8364 | Validation F1 Macro : 0.7026
Training F1 Micro: 0.8312 | Validation F1 Micro : 0.6960
Epoch 16, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5793e-02 | Validation Loss : 2.7089e-02
Training CC : 0.9114 | Validation CC : 0.9050
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8775e-01 | Validation Loss : 5.9186e-01
Training F1 Macro: 0.8210 | Validation F1 Macro : 0.7234
Training F1 Micro: 0.8104 | Validation F1 Micro : 0.7200
Epoch 16, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5783e-02 | Validation Loss : 2.7190e-02
Training CC : 0.9113 | Validation CC : 0.9047
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2023e-01 | Validation Loss : 6.0627e-01
Training F1 Macro: 0.8513 | Validation F1 Macro : 0.7140
Training F1 Micro: 0.8456 | Validation F1 Micro : 0.7080
Epoch 17, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5654e-02 | Validation Loss : 2.6900e-02
Training CC : 0.9115 | Validation CC : 0.9060
** Classification Losses **
Training Loss : 4.4896e-01 | Validation Loss : 5.9745e-01
Training F1 Macro: 0.7801 | Validation F1 Macro : 0.7064
Training F1 Micro: 0.7805 | Validation F1 Micro : 0.7020
Epoch 17, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5561e-02 | Validation Loss : 2.6615e-02
Training CC : 0.9123 | Validation CC : 0.9068
** Classification Losses **
Training Loss : 3.8235e-01 | Validation Loss : 6.4174e-01
Training F1 Macro: 0.8059 | Validation F1 Macro : 0.7100
Training F1 Micro: 0.8032 | Validation F1 Micro : 0.7060
Epoch 17, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5270e-02 | Validation Loss : 2.6406e-02
Training CC : 0.9132 | Validation CC : 0.9076
** Classification Losses **
Training Loss : 3.2552e-01 | Validation Loss : 5.8625e-01
Training F1 Macro: 0.8176 | Validation F1 Macro : 0.7502
Training F1 Micro: 0.8166 | Validation F1 Micro : 0.7440
Epoch 17, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5012e-02 | Validation Loss : 2.6217e-02
Training CC : 0.9141 | Validation CC : 0.9082
** Classification Losses **
Training Loss : 3.8341e-01 | Validation Loss : 6.7951e-01
Training F1 Macro: 0.8214 | Validation F1 Macro : 0.6797
Training F1 Micro: 0.8205 | Validation F1 Micro : 0.6800
Epoch 17, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4931e-02 | Validation Loss : 2.6142e-02
Training CC : 0.9145 | Validation CC : 0.9084
** Classification Losses **
Training Loss : 3.3366e-01 | Validation Loss : 6.8486e-01
Training F1 Macro: 0.8168 | Validation F1 Macro : 0.6861
Training F1 Micro: 0.8096 | Validation F1 Micro : 0.6820
Epoch 18, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4637e-02 | Validation Loss : 2.6184e-02
Training CC : 0.9152 | Validation CC : 0.9083
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0799e-01 | Validation Loss : 6.3986e-01
Training F1 Macro: 0.8172 | Validation F1 Macro : 0.7065
Training F1 Micro: 0.8096 | Validation F1 Micro : 0.7040
Epoch 18, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4948e-02 | Validation Loss : 2.6264e-02
Training CC : 0.9145 | Validation CC : 0.9080
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9592e-01 | Validation Loss : 5.7108e-01
Training F1 Macro: 0.8010 | Validation F1 Macro : 0.7551
Training F1 Micro: 0.8010 | Validation F1 Micro : 0.7540
Epoch 18, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4814e-02 | Validation Loss : 2.6370e-02
Training CC : 0.9147 | Validation CC : 0.9077
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0328e-01 | Validation Loss : 6.0726e-01
Training F1 Macro: 0.8123 | Validation F1 Macro : 0.7450
Training F1 Micro: 0.8053 | Validation F1 Micro : 0.7440
Epoch 18, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4866e-02 | Validation Loss : 2.6456e-02
Training CC : 0.9145 | Validation CC : 0.9074
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3993e-01 | Validation Loss : 5.8318e-01
Training F1 Macro: 0.8169 | Validation F1 Macro : 0.7283
Training F1 Micro: 0.8097 | Validation F1 Micro : 0.7240
Epoch 18, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4968e-02 | Validation Loss : 2.6555e-02
Training CC : 0.9142 | Validation CC : 0.9071
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9412e-01 | Validation Loss : 5.9819e-01
Training F1 Macro: 0.8057 | Validation F1 Macro : 0.7429
Training F1 Micro: 0.8102 | Validation F1 Micro : 0.7360
Epoch 19, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5135e-02 | Validation Loss : 2.6330e-02
Training CC : 0.9140 | Validation CC : 0.9082
** Classification Losses **
Training Loss : 3.8532e-01 | Validation Loss : 6.4709e-01
Training F1 Macro: 0.8100 | Validation F1 Macro : 0.7178
Training F1 Micro: 0.7963 | Validation F1 Micro : 0.7140
Epoch 19, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4815e-02 | Validation Loss : 2.5968e-02
Training CC : 0.9149 | Validation CC : 0.9092
** Classification Losses **
Training Loss : 4.0444e-01 | Validation Loss : 6.4331e-01
Training F1 Macro: 0.7866 | Validation F1 Macro : 0.7005
Training F1 Micro: 0.7942 | Validation F1 Micro : 0.7000
Epoch 19, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4463e-02 | Validation Loss : 2.5855e-02
Training CC : 0.9159 | Validation CC : 0.9094
** Classification Losses **
Training Loss : 3.5836e-01 | Validation Loss : 6.5113e-01
Training F1 Macro: 0.8281 | Validation F1 Macro : 0.6919
Training F1 Micro: 0.8166 | Validation F1 Micro : 0.6880
Epoch 19, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4252e-02 | Validation Loss : 2.5652e-02
Training CC : 0.9167 | Validation CC : 0.9103
** Classification Losses **
Training Loss : 3.8699e-01 | Validation Loss : 6.5505e-01
Training F1 Macro: 0.8033 | Validation F1 Macro : 0.7220
Training F1 Micro: 0.8003 | Validation F1 Micro : 0.7180
Epoch 19, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3948e-02 | Validation Loss : 2.5464e-02
Training CC : 0.9176 | Validation CC : 0.9109
** Classification Losses **
Training Loss : 4.2383e-01 | Validation Loss : 6.3304e-01
Training F1 Macro: 0.7831 | Validation F1 Macro : 0.7032
Training F1 Micro: 0.7809 | Validation F1 Micro : 0.6980
Epoch 20, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3777e-02 | Validation Loss : 2.5514e-02
Training CC : 0.9181 | Validation CC : 0.9107
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5963e-01 | Validation Loss : 6.3910e-01
Training F1 Macro: 0.8332 | Validation F1 Macro : 0.7240
Training F1 Micro: 0.8292 | Validation F1 Micro : 0.7220
Epoch 20, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3883e-02 | Validation Loss : 2.5596e-02
Training CC : 0.9178 | Validation CC : 0.9104
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2357e-01 | Validation Loss : 6.3196e-01
Training F1 Macro: 0.8255 | Validation F1 Macro : 0.7027
Training F1 Micro: 0.8328 | Validation F1 Micro : 0.7000
Epoch 20, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3912e-02 | Validation Loss : 2.5711e-02
Training CC : 0.9176 | Validation CC : 0.9099
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6318e-01 | Validation Loss : 5.9072e-01
Training F1 Macro: 0.8463 | Validation F1 Macro : 0.7382
Training F1 Micro: 0.8444 | Validation F1 Micro : 0.7400
Epoch 20, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4448e-02 | Validation Loss : 2.5826e-02
Training CC : 0.9164 | Validation CC : 0.9095
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3081e-01 | Validation Loss : 6.4249e-01
Training F1 Macro: 0.7806 | Validation F1 Macro : 0.7023
Training F1 Micro: 0.7865 | Validation F1 Micro : 0.7020
Epoch 20, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4183e-02 | Validation Loss : 2.5894e-02
Training CC : 0.9168 | Validation CC : 0.9093
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2051e-01 | Validation Loss : 6.2725e-01
Training F1 Macro: 0.7680 | Validation F1 Macro : 0.7261
Training F1 Micro: 0.7679 | Validation F1 Micro : 0.7240
Epoch 21, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3999e-02 | Validation Loss : 2.5732e-02
Training CC : 0.9172 | Validation CC : 0.9102
** Classification Losses **
Training Loss : 3.8906e-01 | Validation Loss : 5.7184e-01
Training F1 Macro: 0.8116 | Validation F1 Macro : 0.7554
Training F1 Micro: 0.8181 | Validation F1 Micro : 0.7560
Epoch 21, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3810e-02 | Validation Loss : 2.5449e-02
Training CC : 0.9181 | Validation CC : 0.9111
** Classification Losses **
Training Loss : 3.5699e-01 | Validation Loss : 5.8052e-01
Training F1 Macro: 0.8363 | Validation F1 Macro : 0.7347
Training F1 Micro: 0.8276 | Validation F1 Micro : 0.7360
Epoch 21, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3661e-02 | Validation Loss : 2.5303e-02
Training CC : 0.9187 | Validation CC : 0.9116
** Classification Losses **
Training Loss : 3.3813e-01 | Validation Loss : 6.2909e-01
Training F1 Macro: 0.8302 | Validation F1 Macro : 0.7090
Training F1 Micro: 0.8358 | Validation F1 Micro : 0.7120
Epoch 21, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3629e-02 | Validation Loss : 2.5147e-02
Training CC : 0.9190 | Validation CC : 0.9121
** Classification Losses **
Training Loss : 3.9604e-01 | Validation Loss : 6.1856e-01
Training F1 Macro: 0.8242 | Validation F1 Macro : 0.7416
Training F1 Micro: 0.8260 | Validation F1 Micro : 0.7400
Epoch 21, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3805e-02 | Validation Loss : 2.5144e-02
Training CC : 0.9190 | Validation CC : 0.9122
** Classification Losses **
Training Loss : 4.0560e-01 | Validation Loss : 6.0625e-01
Training F1 Macro: 0.8317 | Validation F1 Macro : 0.7216
Training F1 Micro: 0.8296 | Validation F1 Micro : 0.7180
Epoch 22, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3386e-02 | Validation Loss : 2.5161e-02
Training CC : 0.9198 | Validation CC : 0.9121
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4908e-01 | Validation Loss : 6.2831e-01
Training F1 Macro: 0.8028 | Validation F1 Macro : 0.6992
Training F1 Micro: 0.8104 | Validation F1 Micro : 0.6920
Epoch 22, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3831e-02 | Validation Loss : 2.5254e-02
Training CC : 0.9188 | Validation CC : 0.9117
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4084e-01 | Validation Loss : 6.0076e-01
Training F1 Macro: 0.8521 | Validation F1 Macro : 0.7097
Training F1 Micro: 0.8547 | Validation F1 Micro : 0.7060
Epoch 22, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3483e-02 | Validation Loss : 2.5343e-02
Training CC : 0.9192 | Validation CC : 0.9113
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6182e-01 | Validation Loss : 5.5996e-01
Training F1 Macro: 0.8119 | Validation F1 Macro : 0.7594
Training F1 Micro: 0.8033 | Validation F1 Micro : 0.7540
Epoch 22, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3507e-02 | Validation Loss : 2.5435e-02
Training CC : 0.9191 | Validation CC : 0.9110
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0367e-01 | Validation Loss : 5.8848e-01
Training F1 Macro: 0.7892 | Validation F1 Macro : 0.7306
Training F1 Micro: 0.7793 | Validation F1 Micro : 0.7280
Epoch 22, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3707e-02 | Validation Loss : 2.5606e-02
Training CC : 0.9184 | Validation CC : 0.9103
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4115e-01 | Validation Loss : 6.6638e-01
Training F1 Macro: 0.8263 | Validation F1 Macro : 0.6798
Training F1 Micro: 0.8214 | Validation F1 Micro : 0.6800
Epoch 23, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4172e-02 | Validation Loss : 2.5574e-02
Training CC : 0.9178 | Validation CC : 0.9108
** Classification Losses **
Training Loss : 3.4503e-01 | Validation Loss : 6.7844e-01
Training F1 Macro: 0.8288 | Validation F1 Macro : 0.6904
Training F1 Micro: 0.8246 | Validation F1 Micro : 0.6860
Epoch 23, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3621e-02 | Validation Loss : 2.5282e-02
Training CC : 0.9191 | Validation CC : 0.9115
** Classification Losses **
Training Loss : 3.8141e-01 | Validation Loss : 6.8443e-01
Training F1 Macro: 0.8245 | Validation F1 Macro : 0.6990
Training F1 Micro: 0.8246 | Validation F1 Micro : 0.6960
Epoch 23, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3532e-02 | Validation Loss : 2.5294e-02
Training CC : 0.9195 | Validation CC : 0.9114
** Classification Losses **
Training Loss : 3.2230e-01 | Validation Loss : 6.6958e-01
Training F1 Macro: 0.8342 | Validation F1 Macro : 0.6729
Training F1 Micro: 0.8403 | Validation F1 Micro : 0.6700
Epoch 23, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3327e-02 | Validation Loss : 2.4932e-02
Training CC : 0.9201 | Validation CC : 0.9128
** Classification Losses **
Training Loss : 3.4403e-01 | Validation Loss : 6.7061e-01
Training F1 Macro: 0.8664 | Validation F1 Macro : 0.6951
Training F1 Micro: 0.8643 | Validation F1 Micro : 0.6940
Epoch 23, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3368e-02 | Validation Loss : 2.4757e-02
Training CC : 0.9204 | Validation CC : 0.9135
** Classification Losses **
Training Loss : 4.0655e-01 | Validation Loss : 6.7934e-01
Training F1 Macro: 0.7825 | Validation F1 Macro : 0.7013
Training F1 Micro: 0.7857 | Validation F1 Micro : 0.6980
Epoch 24, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2957e-02 | Validation Loss : 2.4792e-02
Training CC : 0.9214 | Validation CC : 0.9133
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1334e-01 | Validation Loss : 6.6190e-01
Training F1 Macro: 0.8001 | Validation F1 Macro : 0.6937
Training F1 Micro: 0.8065 | Validation F1 Micro : 0.6920
Epoch 24, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2906e-02 | Validation Loss : 2.4879e-02
Training CC : 0.9214 | Validation CC : 0.9130
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0890e-01 | Validation Loss : 6.7813e-01
Training F1 Macro: 0.7984 | Validation F1 Macro : 0.6826
Training F1 Micro: 0.7924 | Validation F1 Micro : 0.6840
Epoch 24, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2951e-02 | Validation Loss : 2.4984e-02
Training CC : 0.9212 | Validation CC : 0.9126
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1233e-01 | Validation Loss : 6.1681e-01
Training F1 Macro: 0.7839 | Validation F1 Macro : 0.7408
Training F1 Micro: 0.7821 | Validation F1 Micro : 0.7380
Epoch 24, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3024e-02 | Validation Loss : 2.5076e-02
Training CC : 0.9210 | Validation CC : 0.9123
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1372e-01 | Validation Loss : 5.8999e-01
Training F1 Macro: 0.7401 | Validation F1 Macro : 0.7539
Training F1 Micro: 0.7633 | Validation F1 Micro : 0.7540
Epoch 24, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3047e-02 | Validation Loss : 2.5138e-02
Training CC : 0.9209 | Validation CC : 0.9121
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9155e-01 | Validation Loss : 5.7479e-01
Training F1 Macro: 0.7836 | Validation F1 Macro : 0.7484
Training F1 Micro: 0.7922 | Validation F1 Micro : 0.7440
Epoch 25, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3143e-02 | Validation Loss : 2.4991e-02
Training CC : 0.9206 | Validation CC : 0.9130
** Classification Losses **
Training Loss : 4.3899e-01 | Validation Loss : 6.0927e-01
Training F1 Macro: 0.8040 | Validation F1 Macro : 0.7393
Training F1 Micro: 0.7980 | Validation F1 Micro : 0.7320
Epoch 25, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2835e-02 | Validation Loss : 2.4785e-02
Training CC : 0.9216 | Validation CC : 0.9134
** Classification Losses **
Training Loss : 4.2080e-01 | Validation Loss : 6.0625e-01
Training F1 Macro: 0.7781 | Validation F1 Macro : 0.7231
Training F1 Micro: 0.7855 | Validation F1 Micro : 0.7240
Epoch 25, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2813e-02 | Validation Loss : 2.4708e-02
Training CC : 0.9220 | Validation CC : 0.9138
** Classification Losses **
Training Loss : 3.1488e-01 | Validation Loss : 6.7825e-01
Training F1 Macro: 0.8489 | Validation F1 Macro : 0.7128
Training F1 Micro: 0.8367 | Validation F1 Micro : 0.7040
Epoch 25, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3053e-02 | Validation Loss : 2.4618e-02
Training CC : 0.9218 | Validation CC : 0.9142
** Classification Losses **
Training Loss : 3.7094e-01 | Validation Loss : 6.8310e-01
Training F1 Macro: 0.8405 | Validation F1 Macro : 0.6952
Training F1 Micro: 0.8412 | Validation F1 Micro : 0.6940
Epoch 25, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2541e-02 | Validation Loss : 2.4700e-02
Training CC : 0.9228 | Validation CC : 0.9138
** Classification Losses **
Training Loss : 3.8761e-01 | Validation Loss : 6.4848e-01
Training F1 Macro: 0.8053 | Validation F1 Macro : 0.6973
Training F1 Micro: 0.8060 | Validation F1 Micro : 0.6900
Epoch 1, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.4319e-01 | Validation Loss : 2.7237e-01
Training CC : 0.2067 | Validation CC : 0.3921
** Classification Losses **
Training Loss : 1.3693e+00 | Validation Loss : 1.3519e+00
Training F1 Macro: 0.2617 | Validation F1 Macro : 0.2446
Training F1 Micro: 0.3244 | Validation F1 Micro : 0.3400
Epoch 1, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4416e-01 | Validation Loss : 2.0416e-01
Training CC : 0.4643 | Validation CC : 0.5566
** Classification Losses **
Training Loss : 1.3419e+00 | Validation Loss : 1.3186e+00
Training F1 Macro: 0.2415 | Validation F1 Macro : 0.2679
Training F1 Micro: 0.3309 | Validation F1 Micro : 0.3700
Epoch 1, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.8554e-01 | Validation Loss : 1.5818e-01
Training CC : 0.5988 | Validation CC : 0.6271
** Classification Losses **
Training Loss : 1.2650e+00 | Validation Loss : 1.3112e+00
Training F1 Macro: 0.2714 | Validation F1 Macro : 0.2812
Training F1 Micro: 0.3893 | Validation F1 Micro : 0.3860
Epoch 1, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.4537e-01 | Validation Loss : 1.2625e-01
Training CC : 0.6563 | Validation CC : 0.6828
** Classification Losses **
Training Loss : 1.2729e+00 | Validation Loss : 1.3114e+00
Training F1 Macro: 0.2713 | Validation F1 Macro : 0.2576
Training F1 Micro: 0.3737 | Validation F1 Micro : 0.3660
Epoch 1, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.1662e-01 | Validation Loss : 1.0183e-01
Training CC : 0.7088 | Validation CC : 0.7323
** Classification Losses **
Training Loss : 1.2934e+00 | Validation Loss : 1.3240e+00
Training F1 Macro: 0.2778 | Validation F1 Macro : 0.2733
Training F1 Micro: 0.3707 | Validation F1 Micro : 0.3760
Epoch 2, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 1.0447e-01 | Validation Loss : 1.0769e-01
Training CC : 0.7259 | Validation CC : 0.7014
** Classification Losses ** <---- Now Optimizing
Training Loss : 1.1623e+00 | Validation Loss : 1.0760e+00
Training F1 Macro: 0.4719 | Validation F1 Macro : 0.5255
Training F1 Micro: 0.5318 | Validation F1 Micro : 0.5520
Epoch 2, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 1.0841e-01 | Validation Loss : 1.0686e-01
Training CC : 0.7080 | Validation CC : 0.7095
** Classification Losses ** <---- Now Optimizing
Training Loss : 8.8801e-01 | Validation Loss : 9.4371e-01
Training F1 Macro: 0.6713 | Validation F1 Macro : 0.6376
Training F1 Micro: 0.6976 | Validation F1 Micro : 0.6440
Epoch 2, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 1.0745e-01 | Validation Loss : 1.0720e-01
Training CC : 0.7152 | Validation CC : 0.7087
** Classification Losses ** <---- Now Optimizing
Training Loss : 7.3358e-01 | Validation Loss : 8.6719e-01
Training F1 Macro: 0.7889 | Validation F1 Macro : 0.6717
Training F1 Micro: 0.7942 | Validation F1 Micro : 0.6760
Epoch 2, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 1.0908e-01 | Validation Loss : 1.0965e-01
Training CC : 0.7062 | Validation CC : 0.6930
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.2341e-01 | Validation Loss : 8.1722e-01
Training F1 Macro: 0.7581 | Validation F1 Macro : 0.7013
Training F1 Micro: 0.7898 | Validation F1 Micro : 0.6980
Epoch 2, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 1.1073e-01 | Validation Loss : 1.0976e-01
Training CC : 0.6955 | Validation CC : 0.6907
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.8341e-01 | Validation Loss : 7.2555e-01
Training F1 Macro: 0.7972 | Validation F1 Macro : 0.7300
Training F1 Micro: 0.7905 | Validation F1 Micro : 0.7320
Epoch 3, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 9.9848e-02 | Validation Loss : 8.5997e-02
Training CC : 0.7345 | Validation CC : 0.7692
** Classification Losses **
Training Loss : 6.7762e-01 | Validation Loss : 7.4240e-01
Training F1 Macro: 0.7325 | Validation F1 Macro : 0.7253
Training F1 Micro: 0.7137 | Validation F1 Micro : 0.7240
Epoch 3, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 7.8518e-02 | Validation Loss : 6.9528e-02
Training CC : 0.7918 | Validation CC : 0.8015
** Classification Losses **
Training Loss : 6.2644e-01 | Validation Loss : 7.6529e-01
Training F1 Macro: 0.7705 | Validation F1 Macro : 0.7077
Training F1 Micro: 0.7602 | Validation F1 Micro : 0.7120
Epoch 3, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 6.4626e-02 | Validation Loss : 5.7441e-02
Training CC : 0.8153 | Validation CC : 0.8266
** Classification Losses **
Training Loss : 5.7774e-01 | Validation Loss : 8.0036e-01
Training F1 Macro: 0.7930 | Validation F1 Macro : 0.6928
Training F1 Micro: 0.7981 | Validation F1 Micro : 0.6980
Epoch 3, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 5.4037e-02 | Validation Loss : 4.9130e-02
Training CC : 0.8365 | Validation CC : 0.8387
** Classification Losses **
Training Loss : 6.1979e-01 | Validation Loss : 7.7575e-01
Training F1 Macro: 0.7651 | Validation F1 Macro : 0.7106
Training F1 Micro: 0.7648 | Validation F1 Micro : 0.7120
Epoch 3, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.6103e-02 | Validation Loss : 4.3542e-02
Training CC : 0.8477 | Validation CC : 0.8482
** Classification Losses **
Training Loss : 6.1804e-01 | Validation Loss : 8.1084e-01
Training F1 Macro: 0.7774 | Validation F1 Macro : 0.6801
Training F1 Micro: 0.7797 | Validation F1 Micro : 0.6820
Epoch 4, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.3638e-02 | Validation Loss : 4.4851e-02
Training CC : 0.8510 | Validation CC : 0.8422
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.9661e-01 | Validation Loss : 7.3973e-01
Training F1 Macro: 0.7921 | Validation F1 Macro : 0.7034
Training F1 Micro: 0.7744 | Validation F1 Micro : 0.7040
Epoch 4, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.6112e-02 | Validation Loss : 4.7793e-02
Training CC : 0.8402 | Validation CC : 0.8299
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.3102e-01 | Validation Loss : 6.4787e-01
Training F1 Macro: 0.7897 | Validation F1 Macro : 0.7679
Training F1 Micro: 0.8029 | Validation F1 Micro : 0.7700
Epoch 4, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.8361e-02 | Validation Loss : 4.8435e-02
Training CC : 0.8313 | Validation CC : 0.8272
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.9740e-01 | Validation Loss : 5.9958e-01
Training F1 Macro: 0.7805 | Validation F1 Macro : 0.7617
Training F1 Micro: 0.7759 | Validation F1 Micro : 0.7620
Epoch 4, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.8754e-02 | Validation Loss : 4.8849e-02
Training CC : 0.8296 | Validation CC : 0.8254
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3181e-01 | Validation Loss : 6.2168e-01
Training F1 Macro: 0.8230 | Validation F1 Macro : 0.7388
Training F1 Micro: 0.8208 | Validation F1 Micro : 0.7400
Epoch 4, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.8708e-02 | Validation Loss : 4.9046e-02
Training CC : 0.8293 | Validation CC : 0.8246
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9616e-01 | Validation Loss : 6.0446e-01
Training F1 Macro: 0.7990 | Validation F1 Macro : 0.7330
Training F1 Micro: 0.8060 | Validation F1 Micro : 0.7360
Epoch 5, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.5001e-02 | Validation Loss : 4.2244e-02
Training CC : 0.8426 | Validation CC : 0.8501
** Classification Losses **
Training Loss : 4.5728e-01 | Validation Loss : 5.8587e-01
Training F1 Macro: 0.7718 | Validation F1 Macro : 0.7523
Training F1 Micro: 0.7813 | Validation F1 Micro : 0.7520
Epoch 5, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.0152e-02 | Validation Loss : 3.9056e-02
Training CC : 0.8595 | Validation CC : 0.8602
** Classification Losses **
Training Loss : 3.9341e-01 | Validation Loss : 5.9964e-01
Training F1 Macro: 0.8125 | Validation F1 Macro : 0.7616
Training F1 Micro: 0.8148 | Validation F1 Micro : 0.7620
Epoch 5, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.8256e-02 | Validation Loss : 3.7600e-02
Training CC : 0.8661 | Validation CC : 0.8653
** Classification Losses **
Training Loss : 4.4561e-01 | Validation Loss : 5.7021e-01
Training F1 Macro: 0.7849 | Validation F1 Macro : 0.7608
Training F1 Micro: 0.7857 | Validation F1 Micro : 0.7640
Epoch 5, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.6869e-02 | Validation Loss : 3.6300e-02
Training CC : 0.8711 | Validation CC : 0.8704
** Classification Losses **
Training Loss : 4.1690e-01 | Validation Loss : 6.1780e-01
Training F1 Macro: 0.8445 | Validation F1 Macro : 0.7392
Training F1 Micro: 0.8479 | Validation F1 Micro : 0.7400
Epoch 5, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.4999e-02 | Validation Loss : 3.5349e-02
Training CC : 0.8769 | Validation CC : 0.8746
** Classification Losses **
Training Loss : 4.6575e-01 | Validation Loss : 6.3090e-01
Training F1 Macro: 0.7956 | Validation F1 Macro : 0.7259
Training F1 Micro: 0.8033 | Validation F1 Micro : 0.7260
Epoch 6, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.4498e-02 | Validation Loss : 3.5722e-02
Training CC : 0.8792 | Validation CC : 0.8731
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0582e-01 | Validation Loss : 5.7424e-01
Training F1 Macro: 0.8100 | Validation F1 Macro : 0.7544
Training F1 Micro: 0.8236 | Validation F1 Micro : 0.7540
Epoch 6, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.5376e-02 | Validation Loss : 3.7404e-02
Training CC : 0.8758 | Validation CC : 0.8666
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1675e-01 | Validation Loss : 6.1231e-01
Training F1 Macro: 0.8081 | Validation F1 Macro : 0.7259
Training F1 Micro: 0.8030 | Validation F1 Micro : 0.7220
Epoch 6, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.7303e-02 | Validation Loss : 3.9214e-02
Training CC : 0.8686 | Validation CC : 0.8598
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3818e-01 | Validation Loss : 5.8021e-01
Training F1 Macro: 0.7671 | Validation F1 Macro : 0.7259
Training F1 Micro: 0.7641 | Validation F1 Micro : 0.7260
Epoch 6, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.9055e-02 | Validation Loss : 4.0173e-02
Training CC : 0.8625 | Validation CC : 0.8563
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1923e-01 | Validation Loss : 5.7177e-01
Training F1 Macro: 0.8090 | Validation F1 Macro : 0.7289
Training F1 Micro: 0.8112 | Validation F1 Micro : 0.7260
Epoch 6, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.9735e-02 | Validation Loss : 4.0570e-02
Training CC : 0.8603 | Validation CC : 0.8550
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4773e-01 | Validation Loss : 5.5785e-01
Training F1 Macro: 0.7528 | Validation F1 Macro : 0.7514
Training F1 Micro: 0.7577 | Validation F1 Micro : 0.7520
Epoch 7, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.7191e-02 | Validation Loss : 3.6425e-02
Training CC : 0.8703 | Validation CC : 0.8718
** Classification Losses **
Training Loss : 3.4927e-01 | Validation Loss : 5.3279e-01
Training F1 Macro: 0.8301 | Validation F1 Macro : 0.7671
Training F1 Micro: 0.8272 | Validation F1 Micro : 0.7660
Epoch 7, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.4727e-02 | Validation Loss : 3.4655e-02
Training CC : 0.8787 | Validation CC : 0.8767
** Classification Losses **
Training Loss : 3.2308e-01 | Validation Loss : 5.5849e-01
Training F1 Macro: 0.8355 | Validation F1 Macro : 0.7406
Training F1 Micro: 0.8463 | Validation F1 Micro : 0.7400
Epoch 7, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.3306e-02 | Validation Loss : 3.3829e-02
Training CC : 0.8830 | Validation CC : 0.8797
** Classification Losses **
Training Loss : 4.3147e-01 | Validation Loss : 5.6773e-01
Training F1 Macro: 0.7407 | Validation F1 Macro : 0.7748
Training F1 Micro: 0.7526 | Validation F1 Micro : 0.7760
Epoch 7, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2902e-02 | Validation Loss : 3.2974e-02
Training CC : 0.8857 | Validation CC : 0.8830
** Classification Losses **
Training Loss : 4.0616e-01 | Validation Loss : 6.2277e-01
Training F1 Macro: 0.8038 | Validation F1 Macro : 0.7282
Training F1 Micro: 0.8121 | Validation F1 Micro : 0.7260
Epoch 7, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2151e-02 | Validation Loss : 3.2377e-02
Training CC : 0.8887 | Validation CC : 0.8853
** Classification Losses **
Training Loss : 3.6599e-01 | Validation Loss : 5.9538e-01
Training F1 Macro: 0.8099 | Validation F1 Macro : 0.7403
Training F1 Micro: 0.8174 | Validation F1 Micro : 0.7420
Epoch 8, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1322e-02 | Validation Loss : 3.2505e-02
Training CC : 0.8906 | Validation CC : 0.8848
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2123e-01 | Validation Loss : 5.8534e-01
Training F1 Macro: 0.8674 | Validation F1 Macro : 0.7330
Training F1 Micro: 0.8692 | Validation F1 Micro : 0.7340
Epoch 8, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.2075e-02 | Validation Loss : 3.2815e-02
Training CC : 0.8891 | Validation CC : 0.8835
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5315e-01 | Validation Loss : 5.3318e-01
Training F1 Macro: 0.8259 | Validation F1 Macro : 0.7560
Training F1 Micro: 0.8310 | Validation F1 Micro : 0.7580
Epoch 8, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1994e-02 | Validation Loss : 3.3414e-02
Training CC : 0.8884 | Validation CC : 0.8813
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.8063e-01 | Validation Loss : 5.2900e-01
Training F1 Macro: 0.7500 | Validation F1 Macro : 0.7658
Training F1 Micro: 0.7408 | Validation F1 Micro : 0.7640
Epoch 8, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.2494e-02 | Validation Loss : 3.4041e-02
Training CC : 0.8863 | Validation CC : 0.8789
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4206e-01 | Validation Loss : 5.0688e-01
Training F1 Macro: 0.8287 | Validation F1 Macro : 0.7717
Training F1 Micro: 0.8345 | Validation F1 Micro : 0.7720
Epoch 8, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.3152e-02 | Validation Loss : 3.4650e-02
Training CC : 0.8841 | Validation CC : 0.8767
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3490e-01 | Validation Loss : 5.4066e-01
Training F1 Macro: 0.7546 | Validation F1 Macro : 0.7663
Training F1 Micro: 0.7536 | Validation F1 Micro : 0.7640
Epoch 9, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2539e-02 | Validation Loss : 3.2781e-02
Training CC : 0.8861 | Validation CC : 0.8843
** Classification Losses **
Training Loss : 3.6295e-01 | Validation Loss : 5.3258e-01
Training F1 Macro: 0.8121 | Validation F1 Macro : 0.7603
Training F1 Micro: 0.8123 | Validation F1 Micro : 0.7580
Epoch 9, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.1381e-02 | Validation Loss : 3.2108e-02
Training CC : 0.8910 | Validation CC : 0.8865
** Classification Losses **
Training Loss : 3.9501e-01 | Validation Loss : 5.3942e-01
Training F1 Macro: 0.8360 | Validation F1 Macro : 0.7778
Training F1 Micro: 0.8327 | Validation F1 Micro : 0.7780
Epoch 9, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0693e-02 | Validation Loss : 3.1463e-02
Training CC : 0.8933 | Validation CC : 0.8887
** Classification Losses **
Training Loss : 4.2422e-01 | Validation Loss : 5.8430e-01
Training F1 Macro: 0.7876 | Validation F1 Macro : 0.7294
Training F1 Micro: 0.7809 | Validation F1 Micro : 0.7280
Epoch 9, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9897e-02 | Validation Loss : 3.0923e-02
Training CC : 0.8958 | Validation CC : 0.8907
** Classification Losses **
Training Loss : 4.2439e-01 | Validation Loss : 5.4454e-01
Training F1 Macro: 0.7935 | Validation F1 Macro : 0.7676
Training F1 Micro: 0.8096 | Validation F1 Micro : 0.7680
Epoch 9, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9733e-02 | Validation Loss : 3.0519e-02
Training CC : 0.8971 | Validation CC : 0.8923
** Classification Losses **
Training Loss : 3.6857e-01 | Validation Loss : 5.5548e-01
Training F1 Macro: 0.8033 | Validation F1 Macro : 0.7657
Training F1 Micro: 0.8085 | Validation F1 Micro : 0.7640
Epoch 10, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9480e-02 | Validation Loss : 3.0610e-02
Training CC : 0.8980 | Validation CC : 0.8919
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0776e-01 | Validation Loss : 5.3247e-01
Training F1 Macro: 0.8045 | Validation F1 Macro : 0.7700
Training F1 Micro: 0.8083 | Validation F1 Micro : 0.7620
Epoch 10, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9476e-02 | Validation Loss : 3.0834e-02
Training CC : 0.8978 | Validation CC : 0.8911
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4073e-01 | Validation Loss : 5.4553e-01
Training F1 Macro: 0.8701 | Validation F1 Macro : 0.7421
Training F1 Micro: 0.8648 | Validation F1 Micro : 0.7420
Epoch 10, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9886e-02 | Validation Loss : 3.1222e-02
Training CC : 0.8965 | Validation CC : 0.8896
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2539e-01 | Validation Loss : 5.7698e-01
Training F1 Macro: 0.8368 | Validation F1 Macro : 0.7252
Training F1 Micro: 0.8269 | Validation F1 Micro : 0.7220
Epoch 10, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.0336e-02 | Validation Loss : 3.1567e-02
Training CC : 0.8950 | Validation CC : 0.8883
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0816e-01 | Validation Loss : 5.7733e-01
Training F1 Macro: 0.7957 | Validation F1 Macro : 0.7274
Training F1 Micro: 0.7946 | Validation F1 Micro : 0.7260
Epoch 10, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.0672e-02 | Validation Loss : 3.1949e-02
Training CC : 0.8939 | Validation CC : 0.8869
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8959e-01 | Validation Loss : 5.9796e-01
Training F1 Macro: 0.7661 | Validation F1 Macro : 0.7156
Training F1 Micro: 0.7810 | Validation F1 Micro : 0.7120
Epoch 11, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9864e-02 | Validation Loss : 3.0897e-02
Training CC : 0.8960 | Validation CC : 0.8915
** Classification Losses **
Training Loss : 3.6639e-01 | Validation Loss : 5.3497e-01
Training F1 Macro: 0.7724 | Validation F1 Macro : 0.7551
Training F1 Micro: 0.7844 | Validation F1 Micro : 0.7540
Epoch 11, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9661e-02 | Validation Loss : 3.0313e-02
Training CC : 0.8983 | Validation CC : 0.8930
** Classification Losses **
Training Loss : 4.4387e-01 | Validation Loss : 5.6478e-01
Training F1 Macro: 0.7502 | Validation F1 Macro : 0.7161
Training F1 Micro: 0.7686 | Validation F1 Micro : 0.7140
Epoch 11, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8763e-02 | Validation Loss : 2.9850e-02
Training CC : 0.9004 | Validation CC : 0.8950
** Classification Losses **
Training Loss : 3.5521e-01 | Validation Loss : 5.2981e-01
Training F1 Macro: 0.8184 | Validation F1 Macro : 0.7486
Training F1 Micro: 0.8195 | Validation F1 Micro : 0.7480
Epoch 11, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8257e-02 | Validation Loss : 2.9525e-02
Training CC : 0.9021 | Validation CC : 0.8960
** Classification Losses **
Training Loss : 3.1635e-01 | Validation Loss : 5.5993e-01
Training F1 Macro: 0.8139 | Validation F1 Macro : 0.7406
Training F1 Micro: 0.8167 | Validation F1 Micro : 0.7400
Epoch 11, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7977e-02 | Validation Loss : 2.9308e-02
Training CC : 0.9033 | Validation CC : 0.8971
** Classification Losses **
Training Loss : 3.4621e-01 | Validation Loss : 5.5908e-01
Training F1 Macro: 0.8199 | Validation F1 Macro : 0.7361
Training F1 Micro: 0.8284 | Validation F1 Micro : 0.7340
Epoch 12, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7886e-02 | Validation Loss : 2.9374e-02
Training CC : 0.9038 | Validation CC : 0.8968
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8185e-01 | Validation Loss : 5.6433e-01
Training F1 Macro: 0.7939 | Validation F1 Macro : 0.7432
Training F1 Micro: 0.7952 | Validation F1 Micro : 0.7420
Epoch 12, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7868e-02 | Validation Loss : 2.9491e-02
Training CC : 0.9036 | Validation CC : 0.8963
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1505e-01 | Validation Loss : 5.8620e-01
Training F1 Macro: 0.7847 | Validation F1 Macro : 0.7104
Training F1 Micro: 0.7906 | Validation F1 Micro : 0.7060
Epoch 12, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8187e-02 | Validation Loss : 2.9665e-02
Training CC : 0.9027 | Validation CC : 0.8956
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3706e-01 | Validation Loss : 5.6509e-01
Training F1 Macro: 0.8159 | Validation F1 Macro : 0.7379
Training F1 Micro: 0.8167 | Validation F1 Micro : 0.7360
Epoch 12, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8176e-02 | Validation Loss : 2.9870e-02
Training CC : 0.9024 | Validation CC : 0.8948
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3758e-01 | Validation Loss : 5.8234e-01
Training F1 Macro: 0.8206 | Validation F1 Macro : 0.7355
Training F1 Micro: 0.8137 | Validation F1 Micro : 0.7300
Epoch 12, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8685e-02 | Validation Loss : 3.0098e-02
Training CC : 0.9010 | Validation CC : 0.8939
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0966e-01 | Validation Loss : 5.7138e-01
Training F1 Macro: 0.7837 | Validation F1 Macro : 0.7617
Training F1 Micro: 0.7767 | Validation F1 Micro : 0.7560
Epoch 13, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8133e-02 | Validation Loss : 2.9473e-02
Training CC : 0.9026 | Validation CC : 0.8964
** Classification Losses **
Training Loss : 3.6566e-01 | Validation Loss : 5.7259e-01
Training F1 Macro: 0.8262 | Validation F1 Macro : 0.7437
Training F1 Micro: 0.8286 | Validation F1 Micro : 0.7340
Epoch 13, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7955e-02 | Validation Loss : 2.8989e-02
Training CC : 0.9040 | Validation CC : 0.8980
** Classification Losses **
Training Loss : 3.4647e-01 | Validation Loss : 5.3361e-01
Training F1 Macro: 0.8319 | Validation F1 Macro : 0.7737
Training F1 Micro: 0.8295 | Validation F1 Micro : 0.7700
Epoch 13, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7835e-02 | Validation Loss : 2.8595e-02
Training CC : 0.9050 | Validation CC : 0.8994
** Classification Losses **
Training Loss : 4.0851e-01 | Validation Loss : 5.6007e-01
Training F1 Macro: 0.7563 | Validation F1 Macro : 0.7410
Training F1 Micro: 0.7780 | Validation F1 Micro : 0.7360
Epoch 13, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7275e-02 | Validation Loss : 2.8319e-02
Training CC : 0.9066 | Validation CC : 0.9005
** Classification Losses **
Training Loss : 4.0125e-01 | Validation Loss : 6.0968e-01
Training F1 Macro: 0.8153 | Validation F1 Macro : 0.7144
Training F1 Micro: 0.8192 | Validation F1 Micro : 0.7040
Epoch 13, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6399e-02 | Validation Loss : 2.8126e-02
Training CC : 0.9086 | Validation CC : 0.9013
** Classification Losses **
Training Loss : 3.3738e-01 | Validation Loss : 5.4721e-01
Training F1 Macro: 0.8238 | Validation F1 Macro : 0.7395
Training F1 Micro: 0.8162 | Validation F1 Micro : 0.7320
Epoch 14, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6321e-02 | Validation Loss : 2.8192e-02
Training CC : 0.9092 | Validation CC : 0.9010
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9111e-01 | Validation Loss : 5.7770e-01
Training F1 Macro: 0.8233 | Validation F1 Macro : 0.7215
Training F1 Micro: 0.8141 | Validation F1 Micro : 0.7180
Epoch 14, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6711e-02 | Validation Loss : 2.8385e-02
Training CC : 0.9083 | Validation CC : 0.9003
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9576e-01 | Validation Loss : 5.6606e-01
Training F1 Macro: 0.8119 | Validation F1 Macro : 0.7444
Training F1 Micro: 0.8107 | Validation F1 Micro : 0.7420
Epoch 14, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6616e-02 | Validation Loss : 2.8649e-02
Training CC : 0.9080 | Validation CC : 0.8993
** Classification Losses ** <---- Now Optimizing
Training Loss : 2.8082e-01 | Validation Loss : 5.5558e-01
Training F1 Macro: 0.8744 | Validation F1 Macro : 0.7378
Training F1 Micro: 0.8670 | Validation F1 Micro : 0.7360
Epoch 14, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6830e-02 | Validation Loss : 2.8926e-02
Training CC : 0.9071 | Validation CC : 0.8982
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5800e-01 | Validation Loss : 5.7917e-01
Training F1 Macro: 0.8171 | Validation F1 Macro : 0.7231
Training F1 Micro: 0.8257 | Validation F1 Micro : 0.7220
Epoch 14, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7226e-02 | Validation Loss : 2.9069e-02
Training CC : 0.9061 | Validation CC : 0.8977
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4479e-01 | Validation Loss : 5.8163e-01
Training F1 Macro: 0.7994 | Validation F1 Macro : 0.7230
Training F1 Micro: 0.7998 | Validation F1 Micro : 0.7220
Epoch 15, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7198e-02 | Validation Loss : 2.8561e-02
Training CC : 0.9067 | Validation CC : 0.9004
** Classification Losses **
Training Loss : 3.7811e-01 | Validation Loss : 5.8767e-01
Training F1 Macro: 0.7964 | Validation F1 Macro : 0.7193
Training F1 Micro: 0.7980 | Validation F1 Micro : 0.7140
Epoch 15, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6516e-02 | Validation Loss : 2.8020e-02
Training CC : 0.9088 | Validation CC : 0.9016
** Classification Losses **
Training Loss : 4.1914e-01 | Validation Loss : 5.8116e-01
Training F1 Macro: 0.7700 | Validation F1 Macro : 0.7127
Training F1 Micro: 0.7737 | Validation F1 Micro : 0.7080
Epoch 15, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6021e-02 | Validation Loss : 2.7814e-02
Training CC : 0.9102 | Validation CC : 0.9025
** Classification Losses **
Training Loss : 4.1175e-01 | Validation Loss : 5.6561e-01
Training F1 Macro: 0.7598 | Validation F1 Macro : 0.7360
Training F1 Micro: 0.7609 | Validation F1 Micro : 0.7340
Epoch 15, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6548e-02 | Validation Loss : 2.7742e-02
Training CC : 0.9099 | Validation CC : 0.9030
** Classification Losses **
Training Loss : 3.9061e-01 | Validation Loss : 5.6782e-01
Training F1 Macro: 0.7977 | Validation F1 Macro : 0.7262
Training F1 Micro: 0.7885 | Validation F1 Micro : 0.7260
Epoch 15, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5753e-02 | Validation Loss : 2.7541e-02
Training CC : 0.9114 | Validation CC : 0.9035
** Classification Losses **
Training Loss : 4.8085e-01 | Validation Loss : 5.9064e-01
Training F1 Macro: 0.7411 | Validation F1 Macro : 0.7206
Training F1 Micro: 0.7444 | Validation F1 Micro : 0.7200
Epoch 16, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5622e-02 | Validation Loss : 2.7652e-02
Training CC : 0.9118 | Validation CC : 0.9030
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3577e-01 | Validation Loss : 5.8968e-01
Training F1 Macro: 0.8387 | Validation F1 Macro : 0.7438
Training F1 Micro: 0.8344 | Validation F1 Micro : 0.7440
Epoch 16, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5742e-02 | Validation Loss : 2.7759e-02
Training CC : 0.9115 | Validation CC : 0.9026
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1239e-01 | Validation Loss : 5.5796e-01
Training F1 Macro: 0.8029 | Validation F1 Macro : 0.7428
Training F1 Micro: 0.8018 | Validation F1 Micro : 0.7420
Epoch 16, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5942e-02 | Validation Loss : 2.7967e-02
Training CC : 0.9109 | Validation CC : 0.9018
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4829e-01 | Validation Loss : 5.4162e-01
Training F1 Macro: 0.7822 | Validation F1 Macro : 0.7636
Training F1 Micro: 0.7751 | Validation F1 Micro : 0.7600
Epoch 16, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5947e-02 | Validation Loss : 2.8261e-02
Training CC : 0.9104 | Validation CC : 0.9008
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1830e-01 | Validation Loss : 5.9310e-01
Training F1 Macro: 0.7559 | Validation F1 Macro : 0.7148
Training F1 Micro: 0.7586 | Validation F1 Micro : 0.7120
Epoch 16, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6543e-02 | Validation Loss : 2.8862e-02
Training CC : 0.9086 | Validation CC : 0.8986
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5438e-01 | Validation Loss : 6.1306e-01
Training F1 Macro: 0.7639 | Validation F1 Macro : 0.7018
Training F1 Micro: 0.7511 | Validation F1 Micro : 0.6880
Epoch 17, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6982e-02 | Validation Loss : 2.7870e-02
Training CC : 0.9085 | Validation CC : 0.9027
** Classification Losses **
Training Loss : 3.4269e-01 | Validation Loss : 5.8857e-01
Training F1 Macro: 0.8384 | Validation F1 Macro : 0.7358
Training F1 Micro: 0.8338 | Validation F1 Micro : 0.7280
Epoch 17, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5377e-02 | Validation Loss : 2.7387e-02
Training CC : 0.9122 | Validation CC : 0.9039
** Classification Losses **
Training Loss : 4.3430e-01 | Validation Loss : 6.0428e-01
Training F1 Macro: 0.7817 | Validation F1 Macro : 0.7235
Training F1 Micro: 0.7860 | Validation F1 Micro : 0.7160
Epoch 17, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5256e-02 | Validation Loss : 2.7169e-02
Training CC : 0.9131 | Validation CC : 0.9050
** Classification Losses **
Training Loss : 4.2280e-01 | Validation Loss : 6.3178e-01
Training F1 Macro: 0.7818 | Validation F1 Macro : 0.6894
Training F1 Micro: 0.7859 | Validation F1 Micro : 0.6820
Epoch 17, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5307e-02 | Validation Loss : 2.7022e-02
Training CC : 0.9135 | Validation CC : 0.9054
** Classification Losses **
Training Loss : 3.9982e-01 | Validation Loss : 6.1503e-01
Training F1 Macro: 0.7908 | Validation F1 Macro : 0.7105
Training F1 Micro: 0.7981 | Validation F1 Micro : 0.7020
Epoch 17, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4781e-02 | Validation Loss : 2.6784e-02
Training CC : 0.9148 | Validation CC : 0.9062
** Classification Losses **
Training Loss : 3.5785e-01 | Validation Loss : 6.0577e-01
Training F1 Macro: 0.8074 | Validation F1 Macro : 0.7166
Training F1 Micro: 0.8216 | Validation F1 Micro : 0.7100
Epoch 18, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4514e-02 | Validation Loss : 2.6902e-02
Training CC : 0.9155 | Validation CC : 0.9057
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8122e-01 | Validation Loss : 5.6625e-01
Training F1 Macro: 0.8043 | Validation F1 Macro : 0.7525
Training F1 Micro: 0.8127 | Validation F1 Micro : 0.7460
Epoch 18, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4698e-02 | Validation Loss : 2.7128e-02
Training CC : 0.9148 | Validation CC : 0.9049
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.1326e-01 | Validation Loss : 5.8101e-01
Training F1 Macro: 0.8411 | Validation F1 Macro : 0.7479
Training F1 Micro: 0.8385 | Validation F1 Micro : 0.7440
Epoch 18, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5287e-02 | Validation Loss : 2.7312e-02
Training CC : 0.9137 | Validation CC : 0.9043
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2945e-01 | Validation Loss : 6.0456e-01
Training F1 Macro: 0.8147 | Validation F1 Macro : 0.7219
Training F1 Micro: 0.8203 | Validation F1 Micro : 0.7220
Epoch 18, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5205e-02 | Validation Loss : 2.7750e-02
Training CC : 0.9132 | Validation CC : 0.9026
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0264e-01 | Validation Loss : 5.6453e-01
Training F1 Macro: 0.7756 | Validation F1 Macro : 0.7487
Training F1 Micro: 0.7757 | Validation F1 Micro : 0.7460
Epoch 18, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5776e-02 | Validation Loss : 2.8218e-02
Training CC : 0.9113 | Validation CC : 0.9009
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4699e-01 | Validation Loss : 6.2755e-01
Training F1 Macro: 0.8289 | Validation F1 Macro : 0.7175
Training F1 Micro: 0.8260 | Validation F1 Micro : 0.7140
Epoch 19, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5652e-02 | Validation Loss : 2.7535e-02
Training CC : 0.9120 | Validation CC : 0.9040
** Classification Losses **
Training Loss : 3.8139e-01 | Validation Loss : 5.7442e-01
Training F1 Macro: 0.7911 | Validation F1 Macro : 0.7403
Training F1 Micro: 0.7894 | Validation F1 Micro : 0.7400
Epoch 19, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4928e-02 | Validation Loss : 2.6852e-02
Training CC : 0.9143 | Validation CC : 0.9060
** Classification Losses **
Training Loss : 3.7641e-01 | Validation Loss : 5.9360e-01
Training F1 Macro: 0.7929 | Validation F1 Macro : 0.7289
Training F1 Micro: 0.7933 | Validation F1 Micro : 0.7260
Epoch 19, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4995e-02 | Validation Loss : 2.6704e-02
Training CC : 0.9147 | Validation CC : 0.9068
** Classification Losses **
Training Loss : 3.1997e-01 | Validation Loss : 5.7383e-01
Training F1 Macro: 0.8382 | Validation F1 Macro : 0.7228
Training F1 Micro: 0.8457 | Validation F1 Micro : 0.7220
Epoch 19, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4406e-02 | Validation Loss : 2.6619e-02
Training CC : 0.9162 | Validation CC : 0.9068
** Classification Losses **
Training Loss : 4.0349e-01 | Validation Loss : 6.2407e-01
Training F1 Macro: 0.7741 | Validation F1 Macro : 0.7266
Training F1 Micro: 0.7744 | Validation F1 Micro : 0.7220
Epoch 19, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4416e-02 | Validation Loss : 2.6438e-02
Training CC : 0.9165 | Validation CC : 0.9076
** Classification Losses **
Training Loss : 4.3873e-01 | Validation Loss : 5.6721e-01
Training F1 Macro: 0.7804 | Validation F1 Macro : 0.7388
Training F1 Micro: 0.7840 | Validation F1 Micro : 0.7360
Epoch 20, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4064e-02 | Validation Loss : 2.6489e-02
Training CC : 0.9173 | Validation CC : 0.9074
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6412e-01 | Validation Loss : 6.0130e-01
Training F1 Macro: 0.8156 | Validation F1 Macro : 0.7164
Training F1 Micro: 0.8159 | Validation F1 Micro : 0.7140
Epoch 20, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4205e-02 | Validation Loss : 2.6595e-02
Training CC : 0.9169 | Validation CC : 0.9070
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7951e-01 | Validation Loss : 5.8434e-01
Training F1 Macro: 0.8102 | Validation F1 Macro : 0.7205
Training F1 Micro: 0.8149 | Validation F1 Micro : 0.7220
Epoch 20, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4155e-02 | Validation Loss : 2.6746e-02
Training CC : 0.9168 | Validation CC : 0.9064
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3628e-01 | Validation Loss : 6.1818e-01
Training F1 Macro: 0.7849 | Validation F1 Macro : 0.6990
Training F1 Micro: 0.8151 | Validation F1 Micro : 0.6960
Epoch 20, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4510e-02 | Validation Loss : 2.6973e-02
Training CC : 0.9159 | Validation CC : 0.9056
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5576e-01 | Validation Loss : 5.5676e-01
Training F1 Macro: 0.8165 | Validation F1 Macro : 0.7420
Training F1 Micro: 0.8146 | Validation F1 Micro : 0.7400
Epoch 20, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4632e-02 | Validation Loss : 2.7321e-02
Training CC : 0.9151 | Validation CC : 0.9043
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9127e-01 | Validation Loss : 5.8666e-01
Training F1 Macro: 0.7952 | Validation F1 Macro : 0.7169
Training F1 Micro: 0.7999 | Validation F1 Micro : 0.7140
Epoch 21, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4467e-02 | Validation Loss : 2.6708e-02
Training CC : 0.9157 | Validation CC : 0.9067
** Classification Losses **
Training Loss : 3.5679e-01 | Validation Loss : 5.7074e-01
Training F1 Macro: 0.8365 | Validation F1 Macro : 0.7229
Training F1 Micro: 0.8293 | Validation F1 Micro : 0.7220
Epoch 21, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4435e-02 | Validation Loss : 2.6504e-02
Training CC : 0.9165 | Validation CC : 0.9072
** Classification Losses **
Training Loss : 3.9320e-01 | Validation Loss : 5.4624e-01
Training F1 Macro: 0.7667 | Validation F1 Macro : 0.7362
Training F1 Micro: 0.7671 | Validation F1 Micro : 0.7340
Epoch 21, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4058e-02 | Validation Loss : 2.6240e-02
Training CC : 0.9177 | Validation CC : 0.9084
** Classification Losses **
Training Loss : 3.7983e-01 | Validation Loss : 5.8770e-01
Training F1 Macro: 0.8017 | Validation F1 Macro : 0.7330
Training F1 Micro: 0.8127 | Validation F1 Micro : 0.7320
Epoch 21, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4293e-02 | Validation Loss : 2.6080e-02
Training CC : 0.9178 | Validation CC : 0.9088
** Classification Losses **
Training Loss : 3.2941e-01 | Validation Loss : 5.4766e-01
Training F1 Macro: 0.8308 | Validation F1 Macro : 0.7259
Training F1 Micro: 0.8350 | Validation F1 Micro : 0.7240
Epoch 21, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3697e-02 | Validation Loss : 2.6027e-02
Training CC : 0.9187 | Validation CC : 0.9093
** Classification Losses **
Training Loss : 3.7806e-01 | Validation Loss : 5.9362e-01
Training F1 Macro: 0.8027 | Validation F1 Macro : 0.7129
Training F1 Micro: 0.8003 | Validation F1 Micro : 0.7080
Epoch 22, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3453e-02 | Validation Loss : 2.6097e-02
Training CC : 0.9194 | Validation CC : 0.9090
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7476e-01 | Validation Loss : 6.2428e-01
Training F1 Macro: 0.8231 | Validation F1 Macro : 0.7009
Training F1 Micro: 0.8139 | Validation F1 Micro : 0.7000
Epoch 22, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3477e-02 | Validation Loss : 2.6374e-02
Training CC : 0.9191 | Validation CC : 0.9080
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8624e-01 | Validation Loss : 5.8494e-01
Training F1 Macro: 0.8041 | Validation F1 Macro : 0.7385
Training F1 Micro: 0.8099 | Validation F1 Micro : 0.7380
Epoch 22, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3803e-02 | Validation Loss : 2.6619e-02
Training CC : 0.9180 | Validation CC : 0.9070
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2768e-01 | Validation Loss : 5.9936e-01
Training F1 Macro: 0.7638 | Validation F1 Macro : 0.7127
Training F1 Micro: 0.7632 | Validation F1 Micro : 0.7060
Epoch 22, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4035e-02 | Validation Loss : 2.6644e-02
Training CC : 0.9173 | Validation CC : 0.9069
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3958e-01 | Validation Loss : 5.3175e-01
Training F1 Macro: 0.7599 | Validation F1 Macro : 0.7611
Training F1 Micro: 0.7734 | Validation F1 Micro : 0.7600
Epoch 22, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3959e-02 | Validation Loss : 2.6698e-02
Training CC : 0.9174 | Validation CC : 0.9067
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1188e-01 | Validation Loss : 5.3878e-01
Training F1 Macro: 0.7632 | Validation F1 Macro : 0.7382
Training F1 Micro: 0.7644 | Validation F1 Micro : 0.7360
Epoch 23, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3953e-02 | Validation Loss : 2.6254e-02
Training CC : 0.9180 | Validation CC : 0.9085
** Classification Losses **
Training Loss : 3.8669e-01 | Validation Loss : 5.8408e-01
Training F1 Macro: 0.7682 | Validation F1 Macro : 0.7204
Training F1 Micro: 0.7742 | Validation F1 Micro : 0.7180
Epoch 23, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3426e-02 | Validation Loss : 2.5961e-02
Training CC : 0.9194 | Validation CC : 0.9092
** Classification Losses **
Training Loss : 4.0640e-01 | Validation Loss : 5.6016e-01
Training F1 Macro: 0.8292 | Validation F1 Macro : 0.7247
Training F1 Micro: 0.8256 | Validation F1 Micro : 0.7200
Epoch 23, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3661e-02 | Validation Loss : 2.5726e-02
Training CC : 0.9195 | Validation CC : 0.9101
** Classification Losses **
Training Loss : 3.5713e-01 | Validation Loss : 5.4621e-01
Training F1 Macro: 0.7937 | Validation F1 Macro : 0.7582
Training F1 Micro: 0.8130 | Validation F1 Micro : 0.7580
Epoch 23, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3001e-02 | Validation Loss : 2.5678e-02
Training CC : 0.9209 | Validation CC : 0.9105
** Classification Losses **
Training Loss : 3.6447e-01 | Validation Loss : 5.5953e-01
Training F1 Macro: 0.7977 | Validation F1 Macro : 0.7349
Training F1 Micro: 0.8102 | Validation F1 Micro : 0.7340
Epoch 23, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3248e-02 | Validation Loss : 2.5624e-02
Training CC : 0.9207 | Validation CC : 0.9106
** Classification Losses **
Training Loss : 3.7288e-01 | Validation Loss : 5.9653e-01
Training F1 Macro: 0.7802 | Validation F1 Macro : 0.7289
Training F1 Micro: 0.7860 | Validation F1 Micro : 0.7240
Epoch 24, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2823e-02 | Validation Loss : 2.5754e-02
Training CC : 0.9216 | Validation CC : 0.9101
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4092e-01 | Validation Loss : 6.2177e-01
Training F1 Macro: 0.7982 | Validation F1 Macro : 0.7142
Training F1 Micro: 0.7965 | Validation F1 Micro : 0.7120
Epoch 24, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3671e-02 | Validation Loss : 2.5884e-02
Training CC : 0.9199 | Validation CC : 0.9096
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2840e-01 | Validation Loss : 6.0474e-01
Training F1 Macro: 0.7446 | Validation F1 Macro : 0.7123
Training F1 Micro: 0.7439 | Validation F1 Micro : 0.7100
Epoch 24, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3524e-02 | Validation Loss : 2.6077e-02
Training CC : 0.9199 | Validation CC : 0.9089
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.0897e-01 | Validation Loss : 6.1187e-01
Training F1 Macro: 0.8483 | Validation F1 Macro : 0.7093
Training F1 Micro: 0.8461 | Validation F1 Micro : 0.7060
Epoch 24, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3653e-02 | Validation Loss : 2.6573e-02
Training CC : 0.9190 | Validation CC : 0.9071
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0184e-01 | Validation Loss : 6.0153e-01
Training F1 Macro: 0.7723 | Validation F1 Macro : 0.7158
Training F1 Micro: 0.7681 | Validation F1 Micro : 0.7120
Epoch 24, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4039e-02 | Validation Loss : 2.7049e-02
Training CC : 0.9173 | Validation CC : 0.9053
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2186e-01 | Validation Loss : 5.9195e-01
Training F1 Macro: 0.7836 | Validation F1 Macro : 0.7104
Training F1 Micro: 0.7822 | Validation F1 Micro : 0.7080
Epoch 25, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3883e-02 | Validation Loss : 2.6176e-02
Training CC : 0.9181 | Validation CC : 0.9087
** Classification Losses **
Training Loss : 3.3897e-01 | Validation Loss : 5.7113e-01
Training F1 Macro: 0.8108 | Validation F1 Macro : 0.7178
Training F1 Micro: 0.8088 | Validation F1 Micro : 0.7160
Epoch 25, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3457e-02 | Validation Loss : 2.5850e-02
Training CC : 0.9197 | Validation CC : 0.9097
** Classification Losses **
Training Loss : 4.0861e-01 | Validation Loss : 5.7446e-01
Training F1 Macro: 0.7692 | Validation F1 Macro : 0.7148
Training F1 Micro: 0.7621 | Validation F1 Micro : 0.7100
Epoch 25, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3120e-02 | Validation Loss : 2.5724e-02
Training CC : 0.9207 | Validation CC : 0.9102
** Classification Losses **
Training Loss : 3.8243e-01 | Validation Loss : 5.9760e-01
Training F1 Macro: 0.8027 | Validation F1 Macro : 0.7116
Training F1 Micro: 0.8103 | Validation F1 Micro : 0.7080
Epoch 25, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3150e-02 | Validation Loss : 2.5571e-02
Training CC : 0.9212 | Validation CC : 0.9109
** Classification Losses **
Training Loss : 3.9996e-01 | Validation Loss : 6.2988e-01
Training F1 Macro: 0.7901 | Validation F1 Macro : 0.7154
Training F1 Micro: 0.7951 | Validation F1 Micro : 0.7120
Epoch 25, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3119e-02 | Validation Loss : 2.5315e-02
Training CC : 0.9217 | Validation CC : 0.9116
** Classification Losses **
Training Loss : 4.0290e-01 | Validation Loss : 6.0827e-01
Training F1 Macro: 0.7799 | Validation F1 Macro : 0.7042
Training F1 Micro: 0.7800 | Validation F1 Micro : 0.7000
Epoch 1, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2705e-01 | Validation Loss : 1.7110e-01
Training CC : 0.2895 | Validation CC : 0.4784
** Classification Losses **
Training Loss : 1.4296e+00 | Validation Loss : 1.4379e+00
Training F1 Macro: 0.2159 | Validation F1 Macro : 0.2300
Training F1 Micro: 0.2618 | Validation F1 Micro : 0.2780
Epoch 1, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.4663e-01 | Validation Loss : 1.1113e-01
Training CC : 0.5668 | Validation CC : 0.6580
** Classification Losses **
Training Loss : 1.4465e+00 | Validation Loss : 1.4491e+00
Training F1 Macro: 0.2175 | Validation F1 Macro : 0.2241
Training F1 Micro: 0.2676 | Validation F1 Micro : 0.2700
Epoch 1, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 9.6528e-02 | Validation Loss : 7.8370e-02
Training CC : 0.7043 | Validation CC : 0.7430
** Classification Losses **
Training Loss : 1.4374e+00 | Validation Loss : 1.4724e+00
Training F1 Macro: 0.1878 | Validation F1 Macro : 0.1974
Training F1 Micro: 0.2274 | Validation F1 Micro : 0.2380
Epoch 1, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 6.9934e-02 | Validation Loss : 6.0811e-02
Training CC : 0.7679 | Validation CC : 0.7858
** Classification Losses **
Training Loss : 1.4591e+00 | Validation Loss : 1.4892e+00
Training F1 Macro: 0.2048 | Validation F1 Macro : 0.1822
Training F1 Micro: 0.2412 | Validation F1 Micro : 0.2200
Epoch 1, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 5.6493e-02 | Validation Loss : 5.2235e-02
Training CC : 0.8054 | Validation CC : 0.8131
** Classification Losses **
Training Loss : 1.5226e+00 | Validation Loss : 1.4661e+00
Training F1 Macro: 0.1947 | Validation F1 Macro : 0.2177
Training F1 Micro: 0.2311 | Validation F1 Micro : 0.2680
Epoch 2, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 5.1552e-02 | Validation Loss : 5.3801e-02
Training CC : 0.8180 | Validation CC : 0.8078
** Classification Losses ** <---- Now Optimizing
Training Loss : 1.3123e+00 | Validation Loss : 1.1652e+00
Training F1 Macro: 0.3458 | Validation F1 Macro : 0.4451
Training F1 Micro: 0.3794 | Validation F1 Micro : 0.4580
Epoch 2, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 5.3683e-02 | Validation Loss : 5.5586e-02
Training CC : 0.8110 | Validation CC : 0.8012
** Classification Losses ** <---- Now Optimizing
Training Loss : 9.5226e-01 | Validation Loss : 9.9723e-01
Training F1 Macro: 0.6358 | Validation F1 Macro : 0.5841
Training F1 Micro: 0.6444 | Validation F1 Micro : 0.5880
Epoch 2, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 5.4815e-02 | Validation Loss : 5.5791e-02
Training CC : 0.8070 | Validation CC : 0.8005
** Classification Losses ** <---- Now Optimizing
Training Loss : 8.0536e-01 | Validation Loss : 8.8785e-01
Training F1 Macro: 0.7244 | Validation F1 Macro : 0.6715
Training F1 Micro: 0.7296 | Validation F1 Micro : 0.6800
Epoch 2, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 5.4530e-02 | Validation Loss : 5.5986e-02
Training CC : 0.8073 | Validation CC : 0.7991
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.9603e-01 | Validation Loss : 7.9380e-01
Training F1 Macro: 0.7668 | Validation F1 Macro : 0.6725
Training F1 Micro: 0.7691 | Validation F1 Micro : 0.6780
Epoch 2, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 5.5198e-02 | Validation Loss : 5.7264e-02
Training CC : 0.8043 | Validation CC : 0.7932
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.4089e-01 | Validation Loss : 7.5036e-01
Training F1 Macro: 0.7730 | Validation F1 Macro : 0.7074
Training F1 Micro: 0.7819 | Validation F1 Micro : 0.7140
Epoch 3, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 5.2028e-02 | Validation Loss : 4.9477e-02
Training CC : 0.8142 | Validation CC : 0.8220
** Classification Losses **
Training Loss : 6.3270e-01 | Validation Loss : 7.5662e-01
Training F1 Macro: 0.7476 | Validation F1 Macro : 0.7020
Training F1 Micro: 0.7433 | Validation F1 Micro : 0.7060
Epoch 3, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.6612e-02 | Validation Loss : 4.5484e-02
Training CC : 0.8340 | Validation CC : 0.8357
** Classification Losses **
Training Loss : 6.0504e-01 | Validation Loss : 7.8528e-01
Training F1 Macro: 0.7529 | Validation F1 Macro : 0.6780
Training F1 Micro: 0.7679 | Validation F1 Micro : 0.6840
Epoch 3, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.4231e-02 | Validation Loss : 4.2851e-02
Training CC : 0.8439 | Validation CC : 0.8453
** Classification Losses **
Training Loss : 6.7146e-01 | Validation Loss : 7.7638e-01
Training F1 Macro: 0.7386 | Validation F1 Macro : 0.6776
Training F1 Micro: 0.7292 | Validation F1 Micro : 0.6840
Epoch 3, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.1373e-02 | Validation Loss : 4.0788e-02
Training CC : 0.8536 | Validation CC : 0.8531
** Classification Losses **
Training Loss : 6.1769e-01 | Validation Loss : 7.7043e-01
Training F1 Macro: 0.8110 | Validation F1 Macro : 0.7007
Training F1 Micro: 0.8130 | Validation F1 Micro : 0.7020
Epoch 3, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.9143e-02 | Validation Loss : 3.9150e-02
Training CC : 0.8611 | Validation CC : 0.8592
** Classification Losses **
Training Loss : 5.2986e-01 | Validation Loss : 7.8733e-01
Training F1 Macro: 0.8503 | Validation F1 Macro : 0.6689
Training F1 Micro: 0.8555 | Validation F1 Micro : 0.6780
Epoch 4, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.8251e-02 | Validation Loss : 3.9440e-02
Training CC : 0.8644 | Validation CC : 0.8581
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.9256e-01 | Validation Loss : 7.0662e-01
Training F1 Macro: 0.7883 | Validation F1 Macro : 0.7175
Training F1 Micro: 0.7907 | Validation F1 Micro : 0.7180
Epoch 4, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.8762e-02 | Validation Loss : 4.0373e-02
Training CC : 0.8626 | Validation CC : 0.8545
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.7322e-01 | Validation Loss : 7.1628e-01
Training F1 Macro: 0.7533 | Validation F1 Macro : 0.7167
Training F1 Micro: 0.7537 | Validation F1 Micro : 0.7160
Epoch 4, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.9751e-02 | Validation Loss : 4.1342e-02
Training CC : 0.8588 | Validation CC : 0.8507
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.2178e-01 | Validation Loss : 6.1471e-01
Training F1 Macro: 0.7793 | Validation F1 Macro : 0.7631
Training F1 Micro: 0.7832 | Validation F1 Micro : 0.7640
Epoch 4, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.0705e-02 | Validation Loss : 4.1987e-02
Training CC : 0.8555 | Validation CC : 0.8483
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.8844e-01 | Validation Loss : 5.9272e-01
Training F1 Macro: 0.7581 | Validation F1 Macro : 0.7708
Training F1 Micro: 0.7588 | Validation F1 Micro : 0.7680
Epoch 4, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.1218e-02 | Validation Loss : 4.2263e-02
Training CC : 0.8537 | Validation CC : 0.8473
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4921e-01 | Validation Loss : 6.1386e-01
Training F1 Macro: 0.8533 | Validation F1 Macro : 0.7625
Training F1 Micro: 0.8547 | Validation F1 Micro : 0.7600
Epoch 5, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.9674e-02 | Validation Loss : 3.9346e-02
Training CC : 0.8595 | Validation CC : 0.8585
** Classification Losses **
Training Loss : 4.6761e-01 | Validation Loss : 6.2608e-01
Training F1 Macro: 0.7802 | Validation F1 Macro : 0.7434
Training F1 Micro: 0.7753 | Validation F1 Micro : 0.7460
Epoch 5, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.7703e-02 | Validation Loss : 3.7543e-02
Training CC : 0.8669 | Validation CC : 0.8655
** Classification Losses **
Training Loss : 4.5910e-01 | Validation Loss : 6.1408e-01
Training F1 Macro: 0.7426 | Validation F1 Macro : 0.7599
Training F1 Micro: 0.7620 | Validation F1 Micro : 0.7580
Epoch 5, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.6339e-02 | Validation Loss : 3.6288e-02
Training CC : 0.8721 | Validation CC : 0.8702
** Classification Losses **
Training Loss : 4.3843e-01 | Validation Loss : 5.7713e-01
Training F1 Macro: 0.7980 | Validation F1 Macro : 0.7745
Training F1 Micro: 0.8009 | Validation F1 Micro : 0.7760
Epoch 5, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.5775e-02 | Validation Loss : 3.5375e-02
Training CC : 0.8756 | Validation CC : 0.8737
** Classification Losses **
Training Loss : 5.2118e-01 | Validation Loss : 6.3939e-01
Training F1 Macro: 0.7738 | Validation F1 Macro : 0.7187
Training F1 Micro: 0.7645 | Validation F1 Micro : 0.7140
Epoch 5, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.4111e-02 | Validation Loss : 3.4497e-02
Training CC : 0.8804 | Validation CC : 0.8771
** Classification Losses **
Training Loss : 4.6413e-01 | Validation Loss : 6.1164e-01
Training F1 Macro: 0.7902 | Validation F1 Macro : 0.7518
Training F1 Micro: 0.7905 | Validation F1 Micro : 0.7580
Epoch 6, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.3665e-02 | Validation Loss : 3.4593e-02
Training CC : 0.8820 | Validation CC : 0.8767
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.8471e-01 | Validation Loss : 5.9280e-01
Training F1 Macro: 0.7814 | Validation F1 Macro : 0.7406
Training F1 Micro: 0.7816 | Validation F1 Micro : 0.7460
Epoch 6, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.3812e-02 | Validation Loss : 3.4848e-02
Training CC : 0.8815 | Validation CC : 0.8757
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.6772e-01 | Validation Loss : 5.8430e-01
Training F1 Macro: 0.7472 | Validation F1 Macro : 0.7385
Training F1 Micro: 0.7548 | Validation F1 Micro : 0.7380
Epoch 6, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.4300e-02 | Validation Loss : 3.5231e-02
Training CC : 0.8801 | Validation CC : 0.8743
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.6173e-01 | Validation Loss : 5.9315e-01
Training F1 Macro: 0.7749 | Validation F1 Macro : 0.7516
Training F1 Micro: 0.7728 | Validation F1 Micro : 0.7540
Epoch 6, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.4432e-02 | Validation Loss : 3.5666e-02
Training CC : 0.8791 | Validation CC : 0.8727
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5071e-01 | Validation Loss : 5.7186e-01
Training F1 Macro: 0.7450 | Validation F1 Macro : 0.7857
Training F1 Micro: 0.7578 | Validation F1 Micro : 0.7840
Epoch 6, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.4861e-02 | Validation Loss : 3.6007e-02
Training CC : 0.8776 | Validation CC : 0.8714
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4317e-01 | Validation Loss : 6.0420e-01
Training F1 Macro: 0.7874 | Validation F1 Macro : 0.7462
Training F1 Micro: 0.7856 | Validation F1 Micro : 0.7440
Epoch 7, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.4174e-02 | Validation Loss : 3.4640e-02
Training CC : 0.8802 | Validation CC : 0.8769
** Classification Losses **
Training Loss : 3.8424e-01 | Validation Loss : 6.1632e-01
Training F1 Macro: 0.8101 | Validation F1 Macro : 0.7365
Training F1 Micro: 0.8106 | Validation F1 Micro : 0.7320
Epoch 7, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.3192e-02 | Validation Loss : 3.3463e-02
Training CC : 0.8840 | Validation CC : 0.8811
** Classification Losses **
Training Loss : 3.9641e-01 | Validation Loss : 6.1010e-01
Training F1 Macro: 0.8010 | Validation F1 Macro : 0.7225
Training F1 Micro: 0.8004 | Validation F1 Micro : 0.7240
Epoch 7, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2186e-02 | Validation Loss : 3.2691e-02
Training CC : 0.8874 | Validation CC : 0.8842
** Classification Losses **
Training Loss : 4.2016e-01 | Validation Loss : 5.8771e-01
Training F1 Macro: 0.7606 | Validation F1 Macro : 0.7268
Training F1 Micro: 0.7619 | Validation F1 Micro : 0.7280
Epoch 7, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.1832e-02 | Validation Loss : 3.1999e-02
Training CC : 0.8896 | Validation CC : 0.8867
** Classification Losses **
Training Loss : 3.5950e-01 | Validation Loss : 6.0531e-01
Training F1 Macro: 0.8260 | Validation F1 Macro : 0.7431
Training F1 Micro: 0.8337 | Validation F1 Micro : 0.7440
Epoch 7, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0798e-02 | Validation Loss : 3.1358e-02
Training CC : 0.8927 | Validation CC : 0.8891
** Classification Losses **
Training Loss : 4.0665e-01 | Validation Loss : 5.9983e-01
Training F1 Macro: 0.7770 | Validation F1 Macro : 0.7417
Training F1 Micro: 0.7730 | Validation F1 Micro : 0.7420
Epoch 8, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.0239e-02 | Validation Loss : 3.1431e-02
Training CC : 0.8944 | Validation CC : 0.8888
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.6398e-01 | Validation Loss : 6.4087e-01
Training F1 Macro: 0.7610 | Validation F1 Macro : 0.7223
Training F1 Micro: 0.7600 | Validation F1 Micro : 0.7200
Epoch 8, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.0901e-02 | Validation Loss : 3.1572e-02
Training CC : 0.8932 | Validation CC : 0.8883
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0732e-01 | Validation Loss : 6.6176e-01
Training F1 Macro: 0.7656 | Validation F1 Macro : 0.6959
Training F1 Micro: 0.7941 | Validation F1 Micro : 0.6960
Epoch 8, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1172e-02 | Validation Loss : 3.1785e-02
Training CC : 0.8925 | Validation CC : 0.8874
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0241e-01 | Validation Loss : 5.8185e-01
Training F1 Macro: 0.7866 | Validation F1 Macro : 0.7662
Training F1 Micro: 0.7794 | Validation F1 Micro : 0.7680
Epoch 8, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.0659e-02 | Validation Loss : 3.2018e-02
Training CC : 0.8929 | Validation CC : 0.8866
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2110e-01 | Validation Loss : 5.8669e-01
Training F1 Macro: 0.8239 | Validation F1 Macro : 0.7396
Training F1 Micro: 0.8176 | Validation F1 Micro : 0.7400
Epoch 8, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1000e-02 | Validation Loss : 3.2224e-02
Training CC : 0.8919 | Validation CC : 0.8858
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.1106e-01 | Validation Loss : 5.7356e-01
Training F1 Macro: 0.7545 | Validation F1 Macro : 0.7514
Training F1 Micro: 0.7545 | Validation F1 Micro : 0.7480
Epoch 9, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0744e-02 | Validation Loss : 3.1350e-02
Training CC : 0.8929 | Validation CC : 0.8891
** Classification Losses **
Training Loss : 3.4963e-01 | Validation Loss : 6.0323e-01
Training F1 Macro: 0.8320 | Validation F1 Macro : 0.7503
Training F1 Micro: 0.8275 | Validation F1 Micro : 0.7480
Epoch 9, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9909e-02 | Validation Loss : 3.0665e-02
Training CC : 0.8958 | Validation CC : 0.8917
** Classification Losses **
Training Loss : 4.1400e-01 | Validation Loss : 5.7290e-01
Training F1 Macro: 0.7948 | Validation F1 Macro : 0.7698
Training F1 Micro: 0.8053 | Validation F1 Micro : 0.7720
Epoch 9, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9344e-02 | Validation Loss : 3.0112e-02
Training CC : 0.8981 | Validation CC : 0.8939
** Classification Losses **
Training Loss : 4.2138e-01 | Validation Loss : 5.9241e-01
Training F1 Macro: 0.7544 | Validation F1 Macro : 0.7349
Training F1 Micro: 0.7553 | Validation F1 Micro : 0.7360
Epoch 9, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8733e-02 | Validation Loss : 2.9596e-02
Training CC : 0.9002 | Validation CC : 0.8959
** Classification Losses **
Training Loss : 4.2466e-01 | Validation Loss : 5.5691e-01
Training F1 Macro: 0.7652 | Validation F1 Macro : 0.7548
Training F1 Micro: 0.7662 | Validation F1 Micro : 0.7560
Epoch 9, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8327e-02 | Validation Loss : 2.9097e-02
Training CC : 0.9020 | Validation CC : 0.8976
** Classification Losses **
Training Loss : 4.0730e-01 | Validation Loss : 6.1402e-01
Training F1 Macro: 0.7754 | Validation F1 Macro : 0.7132
Training F1 Micro: 0.7886 | Validation F1 Micro : 0.7180
Epoch 10, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8169e-02 | Validation Loss : 2.9160e-02
Training CC : 0.9027 | Validation CC : 0.8973
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6505e-01 | Validation Loss : 5.9957e-01
Training F1 Macro: 0.8216 | Validation F1 Macro : 0.7341
Training F1 Micro: 0.8180 | Validation F1 Micro : 0.7340
Epoch 10, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7954e-02 | Validation Loss : 2.9265e-02
Training CC : 0.9030 | Validation CC : 0.8969
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9511e-01 | Validation Loss : 5.9053e-01
Training F1 Macro: 0.8117 | Validation F1 Macro : 0.7489
Training F1 Micro: 0.8121 | Validation F1 Micro : 0.7460
Epoch 10, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8648e-02 | Validation Loss : 2.9408e-02
Training CC : 0.9016 | Validation CC : 0.8964
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.7133e-01 | Validation Loss : 6.0220e-01
Training F1 Macro: 0.7455 | Validation F1 Macro : 0.7342
Training F1 Micro: 0.7518 | Validation F1 Micro : 0.7300
Epoch 10, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8246e-02 | Validation Loss : 2.9565e-02
Training CC : 0.9021 | Validation CC : 0.8958
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3227e-01 | Validation Loss : 6.1122e-01
Training F1 Macro: 0.8061 | Validation F1 Macro : 0.7055
Training F1 Micro: 0.8167 | Validation F1 Micro : 0.7100
Epoch 10, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8678e-02 | Validation Loss : 2.9716e-02
Training CC : 0.9011 | Validation CC : 0.8953
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.7788e-01 | Validation Loss : 5.8467e-01
Training F1 Macro: 0.7431 | Validation F1 Macro : 0.7589
Training F1 Micro: 0.7393 | Validation F1 Micro : 0.7620
Epoch 11, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8164e-02 | Validation Loss : 2.9146e-02
Training CC : 0.9024 | Validation CC : 0.8977
** Classification Losses **
Training Loss : 4.3632e-01 | Validation Loss : 5.9553e-01
Training F1 Macro: 0.7653 | Validation F1 Macro : 0.7267
Training F1 Micro: 0.7708 | Validation F1 Micro : 0.7240
Epoch 11, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7706e-02 | Validation Loss : 2.8590e-02
Training CC : 0.9042 | Validation CC : 0.8995
** Classification Losses **
Training Loss : 4.0651e-01 | Validation Loss : 6.0184e-01
Training F1 Macro: 0.7642 | Validation F1 Macro : 0.7426
Training F1 Micro: 0.7718 | Validation F1 Micro : 0.7460
Epoch 11, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7251e-02 | Validation Loss : 2.8241e-02
Training CC : 0.9059 | Validation CC : 0.9010
** Classification Losses **
Training Loss : 4.2742e-01 | Validation Loss : 6.2016e-01
Training F1 Macro: 0.7951 | Validation F1 Macro : 0.7085
Training F1 Micro: 0.7880 | Validation F1 Micro : 0.7120
Epoch 11, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6784e-02 | Validation Loss : 2.7819e-02
Training CC : 0.9074 | Validation CC : 0.9023
** Classification Losses **
Training Loss : 4.0396e-01 | Validation Loss : 6.0088e-01
Training F1 Macro: 0.7764 | Validation F1 Macro : 0.7525
Training F1 Micro: 0.7702 | Validation F1 Micro : 0.7540
Epoch 11, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6409e-02 | Validation Loss : 2.7631e-02
Training CC : 0.9087 | Validation CC : 0.9034
** Classification Losses **
Training Loss : 3.9296e-01 | Validation Loss : 5.9762e-01
Training F1 Macro: 0.7838 | Validation F1 Macro : 0.7259
Training F1 Micro: 0.7993 | Validation F1 Micro : 0.7280
Epoch 12, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6153e-02 | Validation Loss : 2.7668e-02
Training CC : 0.9095 | Validation CC : 0.9033
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4560e-01 | Validation Loss : 5.7894e-01
Training F1 Macro: 0.7923 | Validation F1 Macro : 0.7395
Training F1 Micro: 0.7803 | Validation F1 Micro : 0.7400
Epoch 12, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6633e-02 | Validation Loss : 2.7746e-02
Training CC : 0.9086 | Validation CC : 0.9029
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1416e-01 | Validation Loss : 6.3165e-01
Training F1 Macro: 0.7819 | Validation F1 Macro : 0.6995
Training F1 Micro: 0.7689 | Validation F1 Micro : 0.7040
Epoch 12, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6475e-02 | Validation Loss : 2.7830e-02
Training CC : 0.9088 | Validation CC : 0.9026
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5037e-01 | Validation Loss : 6.2827e-01
Training F1 Macro: 0.7756 | Validation F1 Macro : 0.7362
Training F1 Micro: 0.7686 | Validation F1 Micro : 0.7300
Epoch 12, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6632e-02 | Validation Loss : 2.7919e-02
Training CC : 0.9083 | Validation CC : 0.9022
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2798e-01 | Validation Loss : 5.6208e-01
Training F1 Macro: 0.7774 | Validation F1 Macro : 0.7634
Training F1 Micro: 0.7670 | Validation F1 Micro : 0.7640
Epoch 12, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6466e-02 | Validation Loss : 2.7994e-02
Training CC : 0.9084 | Validation CC : 0.9019
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5428e-01 | Validation Loss : 6.1699e-01
Training F1 Macro: 0.7458 | Validation F1 Macro : 0.7400
Training F1 Micro: 0.7373 | Validation F1 Micro : 0.7360
Epoch 13, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6652e-02 | Validation Loss : 2.7525e-02
Training CC : 0.9085 | Validation CC : 0.9037
** Classification Losses **
Training Loss : 4.1181e-01 | Validation Loss : 6.6353e-01
Training F1 Macro: 0.7910 | Validation F1 Macro : 0.7021
Training F1 Micro: 0.7845 | Validation F1 Micro : 0.7040
Epoch 13, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5811e-02 | Validation Loss : 2.7168e-02
Training CC : 0.9106 | Validation CC : 0.9048
** Classification Losses **
Training Loss : 4.6287e-01 | Validation Loss : 6.4651e-01
Training F1 Macro: 0.7531 | Validation F1 Macro : 0.7147
Training F1 Micro: 0.7407 | Validation F1 Micro : 0.7160
Epoch 13, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5650e-02 | Validation Loss : 2.6851e-02
Training CC : 0.9117 | Validation CC : 0.9060
** Classification Losses **
Training Loss : 3.5683e-01 | Validation Loss : 6.2130e-01
Training F1 Macro: 0.8147 | Validation F1 Macro : 0.7374
Training F1 Micro: 0.8184 | Validation F1 Micro : 0.7380
Epoch 13, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5717e-02 | Validation Loss : 2.7017e-02
Training CC : 0.9122 | Validation CC : 0.9062
** Classification Losses **
Training Loss : 4.7267e-01 | Validation Loss : 6.3952e-01
Training F1 Macro: 0.7621 | Validation F1 Macro : 0.7143
Training F1 Micro: 0.7478 | Validation F1 Micro : 0.7160
Epoch 13, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6007e-02 | Validation Loss : 2.6569e-02
Training CC : 0.9121 | Validation CC : 0.9070
** Classification Losses **
Training Loss : 3.8878e-01 | Validation Loss : 6.1625e-01
Training F1 Macro: 0.8227 | Validation F1 Macro : 0.7083
Training F1 Micro: 0.8116 | Validation F1 Micro : 0.7080
Epoch 14, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5016e-02 | Validation Loss : 2.6628e-02
Training CC : 0.9137 | Validation CC : 0.9067
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3823e-01 | Validation Loss : 6.2212e-01
Training F1 Macro: 0.7735 | Validation F1 Macro : 0.7161
Training F1 Micro: 0.7693 | Validation F1 Micro : 0.7200
Epoch 14, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5464e-02 | Validation Loss : 2.6716e-02
Training CC : 0.9129 | Validation CC : 0.9064
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0758e-01 | Validation Loss : 6.3108e-01
Training F1 Macro: 0.7975 | Validation F1 Macro : 0.7044
Training F1 Micro: 0.7995 | Validation F1 Micro : 0.7100
Epoch 14, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5343e-02 | Validation Loss : 2.6825e-02
Training CC : 0.9130 | Validation CC : 0.9060
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6403e-01 | Validation Loss : 6.2142e-01
Training F1 Macro: 0.8214 | Validation F1 Macro : 0.7162
Training F1 Micro: 0.8238 | Validation F1 Micro : 0.7180
Epoch 14, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5372e-02 | Validation Loss : 2.6953e-02
Training CC : 0.9128 | Validation CC : 0.9056
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0257e-01 | Validation Loss : 6.0927e-01
Training F1 Macro: 0.7738 | Validation F1 Macro : 0.7383
Training F1 Micro: 0.7758 | Validation F1 Micro : 0.7380
Epoch 14, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5558e-02 | Validation Loss : 2.7066e-02
Training CC : 0.9123 | Validation CC : 0.9052
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2582e-01 | Validation Loss : 5.9285e-01
Training F1 Macro: 0.8369 | Validation F1 Macro : 0.7342
Training F1 Micro: 0.8320 | Validation F1 Micro : 0.7360
Epoch 15, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5350e-02 | Validation Loss : 2.6629e-02
Training CC : 0.9130 | Validation CC : 0.9071
** Classification Losses **
Training Loss : 3.8014e-01 | Validation Loss : 6.3965e-01
Training F1 Macro: 0.7853 | Validation F1 Macro : 0.7028
Training F1 Micro: 0.7886 | Validation F1 Micro : 0.7080
Epoch 15, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4866e-02 | Validation Loss : 2.6243e-02
Training CC : 0.9145 | Validation CC : 0.9082
** Classification Losses **
Training Loss : 3.2400e-01 | Validation Loss : 5.8670e-01
Training F1 Macro: 0.8534 | Validation F1 Macro : 0.7298
Training F1 Micro: 0.8466 | Validation F1 Micro : 0.7340
Epoch 15, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4907e-02 | Validation Loss : 2.6037e-02
Training CC : 0.9151 | Validation CC : 0.9090
** Classification Losses **
Training Loss : 2.6684e-01 | Validation Loss : 6.1345e-01
Training F1 Macro: 0.8703 | Validation F1 Macro : 0.7191
Training F1 Micro: 0.8653 | Validation F1 Micro : 0.7220
Epoch 15, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4500e-02 | Validation Loss : 2.5760e-02
Training CC : 0.9161 | Validation CC : 0.9100
** Classification Losses **
Training Loss : 4.5668e-01 | Validation Loss : 6.1409e-01
Training F1 Macro: 0.7715 | Validation F1 Macro : 0.7072
Training F1 Micro: 0.7539 | Validation F1 Micro : 0.7140
Epoch 15, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3951e-02 | Validation Loss : 2.5633e-02
Training CC : 0.9175 | Validation CC : 0.9106
** Classification Losses **
Training Loss : 3.2200e-01 | Validation Loss : 6.8878e-01
Training F1 Macro: 0.8374 | Validation F1 Macro : 0.6687
Training F1 Micro: 0.8266 | Validation F1 Micro : 0.6720
Epoch 16, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3889e-02 | Validation Loss : 2.5692e-02
Training CC : 0.9179 | Validation CC : 0.9103
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1081e-01 | Validation Loss : 6.1263e-01
Training F1 Macro: 0.8066 | Validation F1 Macro : 0.7055
Training F1 Micro: 0.7967 | Validation F1 Micro : 0.7120
Epoch 16, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4225e-02 | Validation Loss : 2.5781e-02
Training CC : 0.9172 | Validation CC : 0.9100
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.7208e-01 | Validation Loss : 6.4370e-01
Training F1 Macro: 0.7282 | Validation F1 Macro : 0.6890
Training F1 Micro: 0.7298 | Validation F1 Micro : 0.6900
Epoch 16, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4172e-02 | Validation Loss : 2.5860e-02
Training CC : 0.9171 | Validation CC : 0.9097
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6372e-01 | Validation Loss : 6.2282e-01
Training F1 Macro: 0.8466 | Validation F1 Macro : 0.7381
Training F1 Micro: 0.8357 | Validation F1 Micro : 0.7440
Epoch 16, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4182e-02 | Validation Loss : 2.5949e-02
Training CC : 0.9170 | Validation CC : 0.9093
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1720e-01 | Validation Loss : 6.1148e-01
Training F1 Macro: 0.7864 | Validation F1 Macro : 0.7346
Training F1 Micro: 0.7747 | Validation F1 Micro : 0.7360
Epoch 16, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4141e-02 | Validation Loss : 2.6037e-02
Training CC : 0.9169 | Validation CC : 0.9090
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4981e-01 | Validation Loss : 6.7430e-01
Training F1 Macro: 0.8416 | Validation F1 Macro : 0.6761
Training F1 Micro: 0.8426 | Validation F1 Micro : 0.6800
Epoch 17, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4070e-02 | Validation Loss : 2.5767e-02
Training CC : 0.9173 | Validation CC : 0.9102
** Classification Losses **
Training Loss : 3.7768e-01 | Validation Loss : 6.2545e-01
Training F1 Macro: 0.7891 | Validation F1 Macro : 0.7141
Training F1 Micro: 0.8005 | Validation F1 Micro : 0.7180
Epoch 17, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3736e-02 | Validation Loss : 2.5507e-02
Training CC : 0.9183 | Validation CC : 0.9109
** Classification Losses **
Training Loss : 3.6801e-01 | Validation Loss : 6.1214e-01
Training F1 Macro: 0.8395 | Validation F1 Macro : 0.7111
Training F1 Micro: 0.8319 | Validation F1 Micro : 0.7120
Epoch 17, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3780e-02 | Validation Loss : 2.5305e-02
Training CC : 0.9188 | Validation CC : 0.9117
** Classification Losses **
Training Loss : 3.3479e-01 | Validation Loss : 6.4236e-01
Training F1 Macro: 0.8277 | Validation F1 Macro : 0.6933
Training F1 Micro: 0.8293 | Validation F1 Micro : 0.6920
Epoch 17, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3964e-02 | Validation Loss : 2.5351e-02
Training CC : 0.9189 | Validation CC : 0.9115
** Classification Losses **
Training Loss : 4.3224e-01 | Validation Loss : 6.2975e-01
Training F1 Macro: 0.8095 | Validation F1 Macro : 0.7150
Training F1 Micro: 0.8071 | Validation F1 Micro : 0.7140
Epoch 17, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3598e-02 | Validation Loss : 2.5363e-02
Training CC : 0.9198 | Validation CC : 0.9122
** Classification Losses **
Training Loss : 3.2798e-01 | Validation Loss : 6.5739e-01
Training F1 Macro: 0.8283 | Validation F1 Macro : 0.6851
Training F1 Micro: 0.8336 | Validation F1 Micro : 0.6820
Epoch 18, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3448e-02 | Validation Loss : 2.5450e-02
Training CC : 0.9200 | Validation CC : 0.9119
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4653e-01 | Validation Loss : 6.2578e-01
Training F1 Macro: 0.7500 | Validation F1 Macro : 0.7259
Training F1 Micro: 0.7614 | Validation F1 Micro : 0.7300
Epoch 18, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3373e-02 | Validation Loss : 2.5550e-02
Training CC : 0.9199 | Validation CC : 0.9115
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6389e-01 | Validation Loss : 6.2219e-01
Training F1 Macro: 0.8119 | Validation F1 Macro : 0.7148
Training F1 Micro: 0.8246 | Validation F1 Micro : 0.7200
Epoch 18, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3379e-02 | Validation Loss : 2.5649e-02
Training CC : 0.9196 | Validation CC : 0.9111
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3274e-01 | Validation Loss : 6.2542e-01
Training F1 Macro: 0.7607 | Validation F1 Macro : 0.7185
Training F1 Micro: 0.7639 | Validation F1 Micro : 0.7240
Epoch 18, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3511e-02 | Validation Loss : 2.5703e-02
Training CC : 0.9193 | Validation CC : 0.9108
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8005e-01 | Validation Loss : 6.2699e-01
Training F1 Macro: 0.7981 | Validation F1 Macro : 0.7167
Training F1 Micro: 0.7969 | Validation F1 Micro : 0.7180
Epoch 18, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3601e-02 | Validation Loss : 2.5756e-02
Training CC : 0.9190 | Validation CC : 0.9106
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4316e-01 | Validation Loss : 6.3244e-01
Training F1 Macro: 0.7459 | Validation F1 Macro : 0.7051
Training F1 Micro: 0.7652 | Validation F1 Micro : 0.7060
Epoch 19, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3498e-02 | Validation Loss : 2.5206e-02
Training CC : 0.9196 | Validation CC : 0.9120
** Classification Losses **
Training Loss : 4.0786e-01 | Validation Loss : 6.6374e-01
Training F1 Macro: 0.7613 | Validation F1 Macro : 0.6738
Training F1 Micro: 0.7662 | Validation F1 Micro : 0.6860
Epoch 19, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3210e-02 | Validation Loss : 2.5088e-02
Training CC : 0.9205 | Validation CC : 0.9125
** Classification Losses **
Training Loss : 4.1581e-01 | Validation Loss : 6.6263e-01
Training F1 Macro: 0.7811 | Validation F1 Macro : 0.7026
Training F1 Micro: 0.7859 | Validation F1 Micro : 0.7040
Epoch 19, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3459e-02 | Validation Loss : 2.5012e-02
Training CC : 0.9206 | Validation CC : 0.9130
** Classification Losses **
Training Loss : 4.2421e-01 | Validation Loss : 6.8449e-01
Training F1 Macro: 0.7775 | Validation F1 Macro : 0.6827
Training F1 Micro: 0.7812 | Validation F1 Micro : 0.6860
Epoch 19, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3142e-02 | Validation Loss : 2.4955e-02
Training CC : 0.9213 | Validation CC : 0.9130
** Classification Losses **
Training Loss : 4.4301e-01 | Validation Loss : 6.5272e-01
Training F1 Macro: 0.7923 | Validation F1 Macro : 0.6905
Training F1 Micro: 0.7888 | Validation F1 Micro : 0.6960
Epoch 19, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2794e-02 | Validation Loss : 2.4861e-02
Training CC : 0.9221 | Validation CC : 0.9135
** Classification Losses **
Training Loss : 4.3326e-01 | Validation Loss : 6.8550e-01
Training F1 Macro: 0.7770 | Validation F1 Macro : 0.6842
Training F1 Micro: 0.7779 | Validation F1 Micro : 0.6820
Epoch 20, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2643e-02 | Validation Loss : 2.4907e-02
Training CC : 0.9224 | Validation CC : 0.9133
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0014e-01 | Validation Loss : 6.4366e-01
Training F1 Macro: 0.7710 | Validation F1 Macro : 0.6912
Training F1 Micro: 0.7777 | Validation F1 Micro : 0.7000
Epoch 20, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2823e-02 | Validation Loss : 2.4974e-02
Training CC : 0.9220 | Validation CC : 0.9130
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.7690e-01 | Validation Loss : 6.2031e-01
Training F1 Macro: 0.7386 | Validation F1 Macro : 0.7339
Training F1 Micro: 0.7540 | Validation F1 Micro : 0.7340
Epoch 20, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2775e-02 | Validation Loss : 2.5045e-02
Training CC : 0.9220 | Validation CC : 0.9128
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7163e-01 | Validation Loss : 6.0180e-01
Training F1 Macro: 0.8047 | Validation F1 Macro : 0.7203
Training F1 Micro: 0.8078 | Validation F1 Micro : 0.7220
Epoch 20, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2999e-02 | Validation Loss : 2.5124e-02
Training CC : 0.9215 | Validation CC : 0.9125
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7149e-01 | Validation Loss : 6.3827e-01
Training F1 Macro: 0.8185 | Validation F1 Macro : 0.6883
Training F1 Micro: 0.8117 | Validation F1 Micro : 0.6880
Epoch 20, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3022e-02 | Validation Loss : 2.5183e-02
Training CC : 0.9213 | Validation CC : 0.9122
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9046e-01 | Validation Loss : 6.1432e-01
Training F1 Macro: 0.7657 | Validation F1 Macro : 0.7297
Training F1 Micro: 0.7748 | Validation F1 Micro : 0.7320
Epoch 21, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2890e-02 | Validation Loss : 2.4908e-02
Training CC : 0.9218 | Validation CC : 0.9131
** Classification Losses **
Training Loss : 3.7590e-01 | Validation Loss : 5.8294e-01
Training F1 Macro: 0.8509 | Validation F1 Macro : 0.7255
Training F1 Micro: 0.8438 | Validation F1 Micro : 0.7260
Epoch 21, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2609e-02 | Validation Loss : 2.4708e-02
Training CC : 0.9227 | Validation CC : 0.9140
** Classification Losses **
Training Loss : 3.9399e-01 | Validation Loss : 6.0610e-01
Training F1 Macro: 0.8054 | Validation F1 Macro : 0.7147
Training F1 Micro: 0.8011 | Validation F1 Micro : 0.7220
Epoch 21, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2299e-02 | Validation Loss : 2.4608e-02
Training CC : 0.9236 | Validation CC : 0.9145
** Classification Losses **
Training Loss : 4.4129e-01 | Validation Loss : 6.4889e-01
Training F1 Macro: 0.7730 | Validation F1 Macro : 0.6933
Training F1 Micro: 0.7729 | Validation F1 Micro : 0.6960
Epoch 21, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2598e-02 | Validation Loss : 2.4509e-02
Training CC : 0.9236 | Validation CC : 0.9147
** Classification Losses **
Training Loss : 3.2335e-01 | Validation Loss : 6.6058e-01
Training F1 Macro: 0.8218 | Validation F1 Macro : 0.6901
Training F1 Micro: 0.8165 | Validation F1 Micro : 0.6920
Epoch 21, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2169e-02 | Validation Loss : 2.4443e-02
Training CC : 0.9243 | Validation CC : 0.9150
** Classification Losses **
Training Loss : 3.7680e-01 | Validation Loss : 6.5536e-01
Training F1 Macro: 0.8296 | Validation F1 Macro : 0.6967
Training F1 Micro: 0.8307 | Validation F1 Micro : 0.6980
Epoch 22, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2161e-02 | Validation Loss : 2.4488e-02
Training CC : 0.9246 | Validation CC : 0.9149
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2447e-01 | Validation Loss : 6.1763e-01
Training F1 Macro: 0.7757 | Validation F1 Macro : 0.7052
Training F1 Micro: 0.7794 | Validation F1 Micro : 0.7080
Epoch 22, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1924e-02 | Validation Loss : 2.4563e-02
Training CC : 0.9249 | Validation CC : 0.9146
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5354e-01 | Validation Loss : 6.4070e-01
Training F1 Macro: 0.7298 | Validation F1 Macro : 0.7110
Training F1 Micro: 0.7276 | Validation F1 Micro : 0.7160
Epoch 22, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1999e-02 | Validation Loss : 2.4658e-02
Training CC : 0.9246 | Validation CC : 0.9142
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6262e-01 | Validation Loss : 6.5416e-01
Training F1 Macro: 0.8113 | Validation F1 Macro : 0.7059
Training F1 Micro: 0.8004 | Validation F1 Micro : 0.7120
Epoch 22, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1984e-02 | Validation Loss : 2.4769e-02
Training CC : 0.9244 | Validation CC : 0.9138
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7742e-01 | Validation Loss : 6.9879e-01
Training F1 Macro: 0.8009 | Validation F1 Macro : 0.6706
Training F1 Micro: 0.8055 | Validation F1 Micro : 0.6700
Epoch 22, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2753e-02 | Validation Loss : 2.4884e-02
Training CC : 0.9230 | Validation CC : 0.9134
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5456e-01 | Validation Loss : 6.7225e-01
Training F1 Macro: 0.8287 | Validation F1 Macro : 0.6901
Training F1 Micro: 0.8272 | Validation F1 Micro : 0.6880
Epoch 23, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2172e-02 | Validation Loss : 2.4586e-02
Training CC : 0.9241 | Validation CC : 0.9143
** Classification Losses **
Training Loss : 3.4565e-01 | Validation Loss : 6.4624e-01
Training F1 Macro: 0.8127 | Validation F1 Macro : 0.7174
Training F1 Micro: 0.8075 | Validation F1 Micro : 0.7200
Epoch 23, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1958e-02 | Validation Loss : 2.4498e-02
Training CC : 0.9249 | Validation CC : 0.9146
** Classification Losses **
Training Loss : 3.8851e-01 | Validation Loss : 6.5626e-01
Training F1 Macro: 0.8007 | Validation F1 Macro : 0.7077
Training F1 Micro: 0.8019 | Validation F1 Micro : 0.7120
Epoch 23, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1701e-02 | Validation Loss : 2.4371e-02
Training CC : 0.9256 | Validation CC : 0.9152
** Classification Losses **
Training Loss : 3.9178e-01 | Validation Loss : 6.6507e-01
Training F1 Macro: 0.8186 | Validation F1 Macro : 0.7108
Training F1 Micro: 0.8150 | Validation F1 Micro : 0.7120
Epoch 23, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1850e-02 | Validation Loss : 2.4370e-02
Training CC : 0.9255 | Validation CC : 0.9152
** Classification Losses **
Training Loss : 4.0946e-01 | Validation Loss : 6.4538e-01
Training F1 Macro: 0.7990 | Validation F1 Macro : 0.7278
Training F1 Micro: 0.7992 | Validation F1 Micro : 0.7260
Epoch 23, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1646e-02 | Validation Loss : 2.4268e-02
Training CC : 0.9260 | Validation CC : 0.9154
** Classification Losses **
Training Loss : 4.0429e-01 | Validation Loss : 6.6556e-01
Training F1 Macro: 0.7826 | Validation F1 Macro : 0.6930
Training F1 Micro: 0.7848 | Validation F1 Micro : 0.6920
Epoch 24, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1518e-02 | Validation Loss : 2.4314e-02
Training CC : 0.9265 | Validation CC : 0.9152
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2526e-01 | Validation Loss : 5.8524e-01
Training F1 Macro: 0.8107 | Validation F1 Macro : 0.7293
Training F1 Micro: 0.8049 | Validation F1 Micro : 0.7320
Epoch 24, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1626e-02 | Validation Loss : 2.4409e-02
Training CC : 0.9262 | Validation CC : 0.9149
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1281e-01 | Validation Loss : 6.7137e-01
Training F1 Macro: 0.8212 | Validation F1 Macro : 0.6721
Training F1 Micro: 0.8226 | Validation F1 Micro : 0.6740
Epoch 24, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1502e-02 | Validation Loss : 2.4501e-02
Training CC : 0.9262 | Validation CC : 0.9145
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1100e-01 | Validation Loss : 6.9133e-01
Training F1 Macro: 0.7770 | Validation F1 Macro : 0.6803
Training F1 Micro: 0.7794 | Validation F1 Micro : 0.6860
Epoch 24, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1715e-02 | Validation Loss : 2.4596e-02
Training CC : 0.9257 | Validation CC : 0.9142
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0344e-01 | Validation Loss : 6.4065e-01
Training F1 Macro: 0.7877 | Validation F1 Macro : 0.7075
Training F1 Micro: 0.7882 | Validation F1 Micro : 0.7120
Epoch 24, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2341e-02 | Validation Loss : 2.4697e-02
Training CC : 0.9244 | Validation CC : 0.9138
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2183e-01 | Validation Loss : 7.0902e-01
Training F1 Macro: 0.7619 | Validation F1 Macro : 0.6701
Training F1 Micro: 0.7521 | Validation F1 Micro : 0.6700
Epoch 25, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2492e-02 | Validation Loss : 2.4421e-02
Training CC : 0.9243 | Validation CC : 0.9151
** Classification Losses **
Training Loss : 3.4555e-01 | Validation Loss : 6.4658e-01
Training F1 Macro: 0.8362 | Validation F1 Macro : 0.6925
Training F1 Micro: 0.8309 | Validation F1 Micro : 0.6920
Epoch 25, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1581e-02 | Validation Loss : 2.4403e-02
Training CC : 0.9263 | Validation CC : 0.9151
** Classification Losses **
Training Loss : 3.8282e-01 | Validation Loss : 6.5475e-01
Training F1 Macro: 0.7844 | Validation F1 Macro : 0.6806
Training F1 Micro: 0.7840 | Validation F1 Micro : 0.6820
Epoch 25, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1475e-02 | Validation Loss : 2.4362e-02
Training CC : 0.9267 | Validation CC : 0.9155
** Classification Losses **
Training Loss : 4.9652e-01 | Validation Loss : 6.4670e-01
Training F1 Macro: 0.7506 | Validation F1 Macro : 0.7009
Training F1 Micro: 0.7453 | Validation F1 Micro : 0.6980
Epoch 25, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1327e-02 | Validation Loss : 2.4165e-02
Training CC : 0.9272 | Validation CC : 0.9159
** Classification Losses **
Training Loss : 3.9819e-01 | Validation Loss : 6.8061e-01
Training F1 Macro: 0.8224 | Validation F1 Macro : 0.6687
Training F1 Micro: 0.8229 | Validation F1 Micro : 0.6700
Epoch 25, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1515e-02 | Validation Loss : 2.4174e-02
Training CC : 0.9271 | Validation CC : 0.9157
** Classification Losses **
Training Loss : 3.7555e-01 | Validation Loss : 6.8509e-01
Training F1 Macro: 0.7881 | Validation F1 Macro : 0.6746
Training F1 Micro: 0.7823 | Validation F1 Micro : 0.6740
Epoch 1, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.7965e-01 | Validation Loss : 1.1363e-01
Training CC : 0.4363 | Validation CC : 0.6745
** Classification Losses **
Training Loss : 1.4386e+00 | Validation Loss : 1.3973e+00
Training F1 Macro: 0.2192 | Validation F1 Macro : 0.2080
Training F1 Micro: 0.2644 | Validation F1 Micro : 0.2740
Epoch 1, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 9.3265e-02 | Validation Loss : 6.9356e-02
Training CC : 0.7337 | Validation CC : 0.7797
** Classification Losses **
Training Loss : 1.4639e+00 | Validation Loss : 1.4196e+00
Training F1 Macro: 0.1890 | Validation F1 Macro : 0.1770
Training F1 Micro: 0.2401 | Validation F1 Micro : 0.2440
Epoch 1, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 6.0903e-02 | Validation Loss : 5.2399e-02
Training CC : 0.8010 | Validation CC : 0.8165
** Classification Losses **
Training Loss : 1.4696e+00 | Validation Loss : 1.4137e+00
Training F1 Macro: 0.1503 | Validation F1 Macro : 0.1864
Training F1 Micro: 0.1901 | Validation F1 Micro : 0.2560
Epoch 1, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.8583e-02 | Validation Loss : 4.6616e-02
Training CC : 0.8314 | Validation CC : 0.8352
** Classification Losses **
Training Loss : 1.4746e+00 | Validation Loss : 1.4064e+00
Training F1 Macro: 0.1385 | Validation F1 Macro : 0.1639
Training F1 Micro: 0.1954 | Validation F1 Micro : 0.2200
Epoch 1, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.4609e-02 | Validation Loss : 4.3745e-02
Training CC : 0.8444 | Validation CC : 0.8458
** Classification Losses **
Training Loss : 1.4440e+00 | Validation Loss : 1.4361e+00
Training F1 Macro: 0.1324 | Validation F1 Macro : 0.1614
Training F1 Micro: 0.1916 | Validation F1 Micro : 0.2200
Epoch 2, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.3786e-02 | Validation Loss : 4.7973e-02
Training CC : 0.8471 | Validation CC : 0.8309
** Classification Losses ** <---- Now Optimizing
Training Loss : 1.2519e+00 | Validation Loss : 1.0993e+00
Training F1 Macro: 0.4057 | Validation F1 Macro : 0.5831
Training F1 Micro: 0.4160 | Validation F1 Micro : 0.5820
Epoch 2, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.9949e-02 | Validation Loss : 5.4076e-02
Training CC : 0.8246 | Validation CC : 0.8080
** Classification Losses ** <---- Now Optimizing
Training Loss : 9.2865e-01 | Validation Loss : 9.4067e-01
Training F1 Macro: 0.7103 | Validation F1 Macro : 0.6689
Training F1 Micro: 0.7154 | Validation F1 Micro : 0.6660
Epoch 2, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 5.5199e-02 | Validation Loss : 5.6907e-02
Training CC : 0.8056 | Validation CC : 0.7971
** Classification Losses ** <---- Now Optimizing
Training Loss : 7.9320e-01 | Validation Loss : 8.3732e-01
Training F1 Macro: 0.7225 | Validation F1 Macro : 0.7118
Training F1 Micro: 0.7284 | Validation F1 Micro : 0.7000
Epoch 2, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 5.7202e-02 | Validation Loss : 5.8264e-02
Training CC : 0.7976 | Validation CC : 0.7921
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.5507e-01 | Validation Loss : 7.4531e-01
Training F1 Macro: 0.8012 | Validation F1 Macro : 0.7281
Training F1 Micro: 0.7893 | Validation F1 Micro : 0.7200
Epoch 2, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 5.8981e-02 | Validation Loss : 5.9427e-02
Training CC : 0.7919 | Validation CC : 0.7874
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.3305e-01 | Validation Loss : 6.8489e-01
Training F1 Macro: 0.8232 | Validation F1 Macro : 0.7380
Training F1 Micro: 0.8174 | Validation F1 Micro : 0.7280
Epoch 3, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 5.0018e-02 | Validation Loss : 4.5314e-02
Training CC : 0.8234 | Validation CC : 0.8372
** Classification Losses **
Training Loss : 4.6845e-01 | Validation Loss : 7.1466e-01
Training F1 Macro: 0.8380 | Validation F1 Macro : 0.7383
Training F1 Micro: 0.8306 | Validation F1 Micro : 0.7320
Epoch 3, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.2784e-02 | Validation Loss : 4.0184e-02
Training CC : 0.8484 | Validation CC : 0.8551
** Classification Losses **
Training Loss : 5.3703e-01 | Validation Loss : 7.3302e-01
Training F1 Macro: 0.7923 | Validation F1 Macro : 0.7331
Training F1 Micro: 0.7970 | Validation F1 Micro : 0.7300
Epoch 3, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.9065e-02 | Validation Loss : 3.8580e-02
Training CC : 0.8621 | Validation CC : 0.8613
** Classification Losses **
Training Loss : 6.1098e-01 | Validation Loss : 7.5393e-01
Training F1 Macro: 0.7694 | Validation F1 Macro : 0.7112
Training F1 Micro: 0.7653 | Validation F1 Micro : 0.7060
Epoch 3, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.6981e-02 | Validation Loss : 3.6856e-02
Training CC : 0.8692 | Validation CC : 0.8680
** Classification Losses **
Training Loss : 5.1134e-01 | Validation Loss : 7.6640e-01
Training F1 Macro: 0.8573 | Validation F1 Macro : 0.6951
Training F1 Micro: 0.8581 | Validation F1 Micro : 0.6880
Epoch 3, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.5591e-02 | Validation Loss : 3.5720e-02
Training CC : 0.8749 | Validation CC : 0.8725
** Classification Losses **
Training Loss : 5.1509e-01 | Validation Loss : 7.3473e-01
Training F1 Macro: 0.8549 | Validation F1 Macro : 0.7216
Training F1 Micro: 0.8480 | Validation F1 Micro : 0.7160
Epoch 4, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.4625e-02 | Validation Loss : 3.5673e-02
Training CC : 0.8781 | Validation CC : 0.8726
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.4331e-01 | Validation Loss : 6.6547e-01
Training F1 Macro: 0.8309 | Validation F1 Macro : 0.7449
Training F1 Micro: 0.8238 | Validation F1 Micro : 0.7380
Epoch 4, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.4832e-02 | Validation Loss : 3.6126e-02
Training CC : 0.8773 | Validation CC : 0.8708
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.0105e-01 | Validation Loss : 6.3480e-01
Training F1 Macro: 0.7943 | Validation F1 Macro : 0.7551
Training F1 Micro: 0.7912 | Validation F1 Micro : 0.7440
Epoch 4, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.5499e-02 | Validation Loss : 3.6848e-02
Training CC : 0.8748 | Validation CC : 0.8680
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3304e-01 | Validation Loss : 6.1625e-01
Training F1 Macro: 0.8270 | Validation F1 Macro : 0.7297
Training F1 Micro: 0.8201 | Validation F1 Micro : 0.7260
Epoch 4, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.6323e-02 | Validation Loss : 3.7532e-02
Training CC : 0.8717 | Validation CC : 0.8654
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1733e-01 | Validation Loss : 5.8785e-01
Training F1 Macro: 0.8094 | Validation F1 Macro : 0.7533
Training F1 Micro: 0.8135 | Validation F1 Micro : 0.7520
Epoch 4, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.7097e-02 | Validation Loss : 3.8087e-02
Training CC : 0.8691 | Validation CC : 0.8632
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7813e-01 | Validation Loss : 5.6507e-01
Training F1 Macro: 0.8249 | Validation F1 Macro : 0.7611
Training F1 Micro: 0.8187 | Validation F1 Micro : 0.7540
Epoch 5, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.6203e-02 | Validation Loss : 3.5683e-02
Training CC : 0.8726 | Validation CC : 0.8730
** Classification Losses **
Training Loss : 4.5024e-01 | Validation Loss : 5.3168e-01
Training F1 Macro: 0.7992 | Validation F1 Macro : 0.7858
Training F1 Micro: 0.7954 | Validation F1 Micro : 0.7820
Epoch 5, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.4421e-02 | Validation Loss : 3.4381e-02
Training CC : 0.8793 | Validation CC : 0.8776
** Classification Losses **
Training Loss : 4.5795e-01 | Validation Loss : 5.9211e-01
Training F1 Macro: 0.7866 | Validation F1 Macro : 0.7589
Training F1 Micro: 0.8097 | Validation F1 Micro : 0.7520
Epoch 5, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.3166e-02 | Validation Loss : 3.3390e-02
Training CC : 0.8841 | Validation CC : 0.8813
** Classification Losses **
Training Loss : 3.7705e-01 | Validation Loss : 6.0948e-01
Training F1 Macro: 0.8254 | Validation F1 Macro : 0.7520
Training F1 Micro: 0.8246 | Validation F1 Micro : 0.7440
Epoch 5, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2247e-02 | Validation Loss : 3.2530e-02
Training CC : 0.8874 | Validation CC : 0.8846
** Classification Losses **
Training Loss : 4.1748e-01 | Validation Loss : 5.6087e-01
Training F1 Macro: 0.8523 | Validation F1 Macro : 0.7770
Training F1 Micro: 0.8456 | Validation F1 Micro : 0.7760
Epoch 5, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.1531e-02 | Validation Loss : 3.1812e-02
Training CC : 0.8903 | Validation CC : 0.8873
** Classification Losses **
Training Loss : 4.2806e-01 | Validation Loss : 5.8793e-01
Training F1 Macro: 0.8196 | Validation F1 Macro : 0.7545
Training F1 Micro: 0.8094 | Validation F1 Micro : 0.7500
Epoch 6, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1277e-02 | Validation Loss : 3.1953e-02
Training CC : 0.8916 | Validation CC : 0.8868
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4535e-01 | Validation Loss : 5.5254e-01
Training F1 Macro: 0.7811 | Validation F1 Macro : 0.7603
Training F1 Micro: 0.7851 | Validation F1 Micro : 0.7560
Epoch 6, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1339e-02 | Validation Loss : 3.2282e-02
Training CC : 0.8912 | Validation CC : 0.8855
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2788e-01 | Validation Loss : 5.5282e-01
Training F1 Macro: 0.7975 | Validation F1 Macro : 0.7718
Training F1 Micro: 0.7965 | Validation F1 Micro : 0.7620
Epoch 6, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1392e-02 | Validation Loss : 3.2708e-02
Training CC : 0.8902 | Validation CC : 0.8840
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0559e-01 | Validation Loss : 5.2389e-01
Training F1 Macro: 0.8347 | Validation F1 Macro : 0.7849
Training F1 Micro: 0.8217 | Validation F1 Micro : 0.7800
Epoch 6, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.2003e-02 | Validation Loss : 3.3006e-02
Training CC : 0.8884 | Validation CC : 0.8828
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7851e-01 | Validation Loss : 5.5884e-01
Training F1 Macro: 0.8358 | Validation F1 Macro : 0.7388
Training F1 Micro: 0.8362 | Validation F1 Micro : 0.7280
Epoch 6, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.2112e-02 | Validation Loss : 3.3201e-02
Training CC : 0.8878 | Validation CC : 0.8821
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2582e-01 | Validation Loss : 5.4442e-01
Training F1 Macro: 0.7955 | Validation F1 Macro : 0.7570
Training F1 Micro: 0.8006 | Validation F1 Micro : 0.7520
Epoch 7, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.1693e-02 | Validation Loss : 3.1962e-02
Training CC : 0.8897 | Validation CC : 0.8867
** Classification Losses **
Training Loss : 3.9836e-01 | Validation Loss : 5.6180e-01
Training F1 Macro: 0.8091 | Validation F1 Macro : 0.7355
Training F1 Micro: 0.8172 | Validation F1 Micro : 0.7340
Epoch 7, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0727e-02 | Validation Loss : 3.1041e-02
Training CC : 0.8935 | Validation CC : 0.8903
** Classification Losses **
Training Loss : 4.3440e-01 | Validation Loss : 5.3125e-01
Training F1 Macro: 0.7929 | Validation F1 Macro : 0.7615
Training F1 Micro: 0.7930 | Validation F1 Micro : 0.7500
Epoch 7, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9662e-02 | Validation Loss : 3.0327e-02
Training CC : 0.8968 | Validation CC : 0.8928
** Classification Losses **
Training Loss : 3.6459e-01 | Validation Loss : 5.5799e-01
Training F1 Macro: 0.8188 | Validation F1 Macro : 0.7534
Training F1 Micro: 0.8269 | Validation F1 Micro : 0.7440
Epoch 7, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8934e-02 | Validation Loss : 2.9776e-02
Training CC : 0.8993 | Validation CC : 0.8951
** Classification Losses **
Training Loss : 3.7982e-01 | Validation Loss : 5.4811e-01
Training F1 Macro: 0.8486 | Validation F1 Macro : 0.7564
Training F1 Micro: 0.8434 | Validation F1 Micro : 0.7560
Epoch 7, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8735e-02 | Validation Loss : 2.9181e-02
Training CC : 0.9007 | Validation CC : 0.8971
** Classification Losses **
Training Loss : 3.4800e-01 | Validation Loss : 6.0419e-01
Training F1 Macro: 0.8123 | Validation F1 Macro : 0.7318
Training F1 Micro: 0.8181 | Validation F1 Micro : 0.7240
Epoch 8, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8010e-02 | Validation Loss : 2.9244e-02
Training CC : 0.9026 | Validation CC : 0.8969
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8471e-01 | Validation Loss : 5.9854e-01
Training F1 Macro: 0.8449 | Validation F1 Macro : 0.7364
Training F1 Micro: 0.8343 | Validation F1 Micro : 0.7260
Epoch 8, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8354e-02 | Validation Loss : 2.9411e-02
Training CC : 0.9019 | Validation CC : 0.8963
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.1756e-01 | Validation Loss : 5.7336e-01
Training F1 Macro: 0.8368 | Validation F1 Macro : 0.7381
Training F1 Micro: 0.8305 | Validation F1 Micro : 0.7380
Epoch 8, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8461e-02 | Validation Loss : 2.9683e-02
Training CC : 0.9014 | Validation CC : 0.8953
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9948e-01 | Validation Loss : 5.2069e-01
Training F1 Macro: 0.8241 | Validation F1 Macro : 0.7758
Training F1 Micro: 0.8156 | Validation F1 Micro : 0.7660
Epoch 8, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9214e-02 | Validation Loss : 2.9884e-02
Training CC : 0.8995 | Validation CC : 0.8946
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0036e-01 | Validation Loss : 5.0562e-01
Training F1 Macro: 0.8007 | Validation F1 Macro : 0.7717
Training F1 Micro: 0.7906 | Validation F1 Micro : 0.7620
Epoch 8, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8715e-02 | Validation Loss : 2.9937e-02
Training CC : 0.9002 | Validation CC : 0.8944
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5862e-01 | Validation Loss : 5.0157e-01
Training F1 Macro: 0.8002 | Validation F1 Macro : 0.7681
Training F1 Micro: 0.7946 | Validation F1 Micro : 0.7660
Epoch 9, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8398e-02 | Validation Loss : 2.9238e-02
Training CC : 0.9014 | Validation CC : 0.8972
** Classification Losses **
Training Loss : 4.5761e-01 | Validation Loss : 5.2705e-01
Training F1 Macro: 0.7409 | Validation F1 Macro : 0.7553
Training F1 Micro: 0.7535 | Validation F1 Micro : 0.7560
Epoch 9, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7698e-02 | Validation Loss : 2.8680e-02
Training CC : 0.9039 | Validation CC : 0.8992
** Classification Losses **
Training Loss : 3.5938e-01 | Validation Loss : 5.0800e-01
Training F1 Macro: 0.8321 | Validation F1 Macro : 0.7591
Training F1 Micro: 0.8306 | Validation F1 Micro : 0.7580
Epoch 9, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7246e-02 | Validation Loss : 2.8176e-02
Training CC : 0.9056 | Validation CC : 0.9010
** Classification Losses **
Training Loss : 4.3236e-01 | Validation Loss : 5.8342e-01
Training F1 Macro: 0.7617 | Validation F1 Macro : 0.7224
Training F1 Micro: 0.7706 | Validation F1 Micro : 0.7200
Epoch 9, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6788e-02 | Validation Loss : 2.7746e-02
Training CC : 0.9074 | Validation CC : 0.9025
** Classification Losses **
Training Loss : 3.7665e-01 | Validation Loss : 5.7061e-01
Training F1 Macro: 0.8015 | Validation F1 Macro : 0.7411
Training F1 Micro: 0.7956 | Validation F1 Micro : 0.7380
Epoch 9, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6554e-02 | Validation Loss : 2.7388e-02
Training CC : 0.9085 | Validation CC : 0.9039
** Classification Losses **
Training Loss : 4.4656e-01 | Validation Loss : 5.4581e-01
Training F1 Macro: 0.7434 | Validation F1 Macro : 0.7428
Training F1 Micro: 0.7507 | Validation F1 Micro : 0.7440
Epoch 10, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6141e-02 | Validation Loss : 2.7447e-02
Training CC : 0.9097 | Validation CC : 0.9036
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6986e-01 | Validation Loss : 5.9786e-01
Training F1 Macro: 0.8039 | Validation F1 Macro : 0.7185
Training F1 Micro: 0.8126 | Validation F1 Micro : 0.7180
Epoch 10, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6302e-02 | Validation Loss : 2.7569e-02
Training CC : 0.9093 | Validation CC : 0.9032
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9084e-01 | Validation Loss : 5.7423e-01
Training F1 Macro: 0.8162 | Validation F1 Macro : 0.7234
Training F1 Micro: 0.8156 | Validation F1 Micro : 0.7220
Epoch 10, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6235e-02 | Validation Loss : 2.7746e-02
Training CC : 0.9092 | Validation CC : 0.9025
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3339e-01 | Validation Loss : 5.8953e-01
Training F1 Macro: 0.8077 | Validation F1 Macro : 0.7065
Training F1 Micro: 0.8024 | Validation F1 Micro : 0.7060
Epoch 10, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6418e-02 | Validation Loss : 2.7905e-02
Training CC : 0.9086 | Validation CC : 0.9020
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.8879e-01 | Validation Loss : 5.5664e-01
Training F1 Macro: 0.7425 | Validation F1 Macro : 0.7423
Training F1 Micro: 0.7467 | Validation F1 Micro : 0.7380
Epoch 10, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6855e-02 | Validation Loss : 2.8002e-02
Training CC : 0.9076 | Validation CC : 0.9016
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5700e-01 | Validation Loss : 5.4403e-01
Training F1 Macro: 0.8528 | Validation F1 Macro : 0.7525
Training F1 Micro: 0.8494 | Validation F1 Micro : 0.7440
Epoch 11, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6308e-02 | Validation Loss : 2.7460e-02
Training CC : 0.9090 | Validation CC : 0.9036
** Classification Losses **
Training Loss : 3.9467e-01 | Validation Loss : 5.5483e-01
Training F1 Macro: 0.8179 | Validation F1 Macro : 0.7425
Training F1 Micro: 0.8064 | Validation F1 Micro : 0.7340
Epoch 11, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6068e-02 | Validation Loss : 2.7100e-02
Training CC : 0.9103 | Validation CC : 0.9051
** Classification Losses **
Training Loss : 3.5998e-01 | Validation Loss : 5.2082e-01
Training F1 Macro: 0.8287 | Validation F1 Macro : 0.7460
Training F1 Micro: 0.8315 | Validation F1 Micro : 0.7360
Epoch 11, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5490e-02 | Validation Loss : 2.6734e-02
Training CC : 0.9121 | Validation CC : 0.9064
** Classification Losses **
Training Loss : 3.3814e-01 | Validation Loss : 5.5643e-01
Training F1 Macro: 0.8244 | Validation F1 Macro : 0.7537
Training F1 Micro: 0.8241 | Validation F1 Micro : 0.7480
Epoch 11, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5488e-02 | Validation Loss : 2.6432e-02
Training CC : 0.9127 | Validation CC : 0.9075
** Classification Losses **
Training Loss : 3.7491e-01 | Validation Loss : 5.9641e-01
Training F1 Macro: 0.8449 | Validation F1 Macro : 0.7145
Training F1 Micro: 0.8322 | Validation F1 Micro : 0.7040
Epoch 11, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4863e-02 | Validation Loss : 2.6196e-02
Training CC : 0.9144 | Validation CC : 0.9084
** Classification Losses **
Training Loss : 4.4682e-01 | Validation Loss : 5.9405e-01
Training F1 Macro: 0.8037 | Validation F1 Macro : 0.7443
Training F1 Micro: 0.7999 | Validation F1 Micro : 0.7320
Epoch 12, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4899e-02 | Validation Loss : 2.6256e-02
Training CC : 0.9146 | Validation CC : 0.9082
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7926e-01 | Validation Loss : 5.3080e-01
Training F1 Macro: 0.8063 | Validation F1 Macro : 0.7676
Training F1 Micro: 0.7981 | Validation F1 Micro : 0.7620
Epoch 12, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4892e-02 | Validation Loss : 2.6373e-02
Training CC : 0.9145 | Validation CC : 0.9078
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0225e-01 | Validation Loss : 5.2423e-01
Training F1 Macro: 0.7974 | Validation F1 Macro : 0.7764
Training F1 Micro: 0.7941 | Validation F1 Micro : 0.7700
Epoch 12, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4786e-02 | Validation Loss : 2.6532e-02
Training CC : 0.9145 | Validation CC : 0.9072
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7131e-01 | Validation Loss : 5.6678e-01
Training F1 Macro: 0.8332 | Validation F1 Macro : 0.7363
Training F1 Micro: 0.8212 | Validation F1 Micro : 0.7300
Epoch 12, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5273e-02 | Validation Loss : 2.6707e-02
Training CC : 0.9133 | Validation CC : 0.9065
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.1159e-01 | Validation Loss : 5.7730e-01
Training F1 Macro: 0.8509 | Validation F1 Macro : 0.7311
Training F1 Micro: 0.8413 | Validation F1 Micro : 0.7200
Epoch 12, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5031e-02 | Validation Loss : 2.6840e-02
Training CC : 0.9136 | Validation CC : 0.9060
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6141e-01 | Validation Loss : 5.3144e-01
Training F1 Macro: 0.8230 | Validation F1 Macro : 0.7559
Training F1 Micro: 0.8134 | Validation F1 Micro : 0.7460
Epoch 13, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5049e-02 | Validation Loss : 2.6312e-02
Training CC : 0.9139 | Validation CC : 0.9081
** Classification Losses **
Training Loss : 2.9199e-01 | Validation Loss : 5.3487e-01
Training F1 Macro: 0.8766 | Validation F1 Macro : 0.7653
Training F1 Micro: 0.8753 | Validation F1 Micro : 0.7520
Epoch 13, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4924e-02 | Validation Loss : 2.6420e-02
Training CC : 0.9148 | Validation CC : 0.9077
** Classification Losses **
Training Loss : 4.1972e-01 | Validation Loss : 5.7379e-01
Training F1 Macro: 0.7729 | Validation F1 Macro : 0.7387
Training F1 Micro: 0.7662 | Validation F1 Micro : 0.7260
Epoch 13, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4393e-02 | Validation Loss : 2.5803e-02
Training CC : 0.9160 | Validation CC : 0.9098
** Classification Losses **
Training Loss : 4.4480e-01 | Validation Loss : 5.2951e-01
Training F1 Macro: 0.8005 | Validation F1 Macro : 0.7453
Training F1 Micro: 0.7951 | Validation F1 Micro : 0.7400
Epoch 13, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4270e-02 | Validation Loss : 2.5704e-02
Training CC : 0.9168 | Validation CC : 0.9103
** Classification Losses **
Training Loss : 3.2433e-01 | Validation Loss : 5.7021e-01
Training F1 Macro: 0.8411 | Validation F1 Macro : 0.7469
Training F1 Micro: 0.8441 | Validation F1 Micro : 0.7340
Epoch 13, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3771e-02 | Validation Loss : 2.5484e-02
Training CC : 0.9181 | Validation CC : 0.9111
** Classification Losses **
Training Loss : 4.3248e-01 | Validation Loss : 6.1829e-01
Training F1 Macro: 0.7951 | Validation F1 Macro : 0.7141
Training F1 Micro: 0.7937 | Validation F1 Micro : 0.7040
Epoch 14, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3642e-02 | Validation Loss : 2.5550e-02
Training CC : 0.9187 | Validation CC : 0.9108
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1233e-01 | Validation Loss : 5.6008e-01
Training F1 Macro: 0.7988 | Validation F1 Macro : 0.7542
Training F1 Micro: 0.8032 | Validation F1 Micro : 0.7480
Epoch 14, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3770e-02 | Validation Loss : 2.5622e-02
Training CC : 0.9184 | Validation CC : 0.9106
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.6307e-01 | Validation Loss : 5.5549e-01
Training F1 Macro: 0.7754 | Validation F1 Macro : 0.7492
Training F1 Micro: 0.7729 | Validation F1 Micro : 0.7480
Epoch 14, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3734e-02 | Validation Loss : 2.5696e-02
Training CC : 0.9184 | Validation CC : 0.9103
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5631e-01 | Validation Loss : 6.0641e-01
Training F1 Macro: 0.8362 | Validation F1 Macro : 0.7339
Training F1 Micro: 0.8331 | Validation F1 Micro : 0.7300
Epoch 14, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4105e-02 | Validation Loss : 2.5790e-02
Training CC : 0.9176 | Validation CC : 0.9099
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7952e-01 | Validation Loss : 5.9527e-01
Training F1 Macro: 0.8380 | Validation F1 Macro : 0.7401
Training F1 Micro: 0.8335 | Validation F1 Micro : 0.7360
Epoch 14, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4120e-02 | Validation Loss : 2.5882e-02
Training CC : 0.9174 | Validation CC : 0.9096
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0289e-01 | Validation Loss : 5.8908e-01
Training F1 Macro: 0.8087 | Validation F1 Macro : 0.7335
Training F1 Micro: 0.8013 | Validation F1 Micro : 0.7280
Epoch 15, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4106e-02 | Validation Loss : 2.5505e-02
Training CC : 0.9175 | Validation CC : 0.9111
** Classification Losses **
Training Loss : 3.4969e-01 | Validation Loss : 5.7728e-01
Training F1 Macro: 0.8140 | Validation F1 Macro : 0.7386
Training F1 Micro: 0.8065 | Validation F1 Micro : 0.7280
Epoch 15, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3497e-02 | Validation Loss : 2.5356e-02
Training CC : 0.9192 | Validation CC : 0.9116
** Classification Losses **
Training Loss : 4.1556e-01 | Validation Loss : 5.3647e-01
Training F1 Macro: 0.8023 | Validation F1 Macro : 0.7621
Training F1 Micro: 0.7928 | Validation F1 Micro : 0.7540
Epoch 15, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4153e-02 | Validation Loss : 2.5202e-02
Training CC : 0.9185 | Validation CC : 0.9122
** Classification Losses **
Training Loss : 4.1088e-01 | Validation Loss : 5.8314e-01
Training F1 Macro: 0.7949 | Validation F1 Macro : 0.7154
Training F1 Micro: 0.7945 | Validation F1 Micro : 0.7060
Epoch 15, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3310e-02 | Validation Loss : 2.4911e-02
Training CC : 0.9203 | Validation CC : 0.9130
** Classification Losses **
Training Loss : 3.9852e-01 | Validation Loss : 5.6851e-01
Training F1 Macro: 0.8083 | Validation F1 Macro : 0.7422
Training F1 Micro: 0.8039 | Validation F1 Micro : 0.7340
Epoch 15, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3024e-02 | Validation Loss : 2.4861e-02
Training CC : 0.9211 | Validation CC : 0.9134
** Classification Losses **
Training Loss : 3.7699e-01 | Validation Loss : 5.9487e-01
Training F1 Macro: 0.7862 | Validation F1 Macro : 0.7403
Training F1 Micro: 0.7904 | Validation F1 Micro : 0.7320
Epoch 16, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3126e-02 | Validation Loss : 2.4916e-02
Training CC : 0.9212 | Validation CC : 0.9132
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4168e-01 | Validation Loss : 5.7614e-01
Training F1 Macro: 0.8335 | Validation F1 Macro : 0.7326
Training F1 Micro: 0.8234 | Validation F1 Micro : 0.7240
Epoch 16, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3048e-02 | Validation Loss : 2.4997e-02
Training CC : 0.9212 | Validation CC : 0.9129
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8551e-01 | Validation Loss : 6.0139e-01
Training F1 Macro: 0.8174 | Validation F1 Macro : 0.7413
Training F1 Micro: 0.8247 | Validation F1 Micro : 0.7340
Epoch 16, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3018e-02 | Validation Loss : 2.5100e-02
Training CC : 0.9211 | Validation CC : 0.9125
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3081e-01 | Validation Loss : 5.8608e-01
Training F1 Macro: 0.7848 | Validation F1 Macro : 0.7140
Training F1 Micro: 0.7735 | Validation F1 Micro : 0.7080
Epoch 16, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2907e-02 | Validation Loss : 2.5208e-02
Training CC : 0.9212 | Validation CC : 0.9121
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5351e-01 | Validation Loss : 6.1109e-01
Training F1 Macro: 0.7657 | Validation F1 Macro : 0.7284
Training F1 Micro: 0.7599 | Validation F1 Micro : 0.7200
Epoch 16, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3122e-02 | Validation Loss : 2.5308e-02
Training CC : 0.9207 | Validation CC : 0.9118
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6361e-01 | Validation Loss : 6.0386e-01
Training F1 Macro: 0.8241 | Validation F1 Macro : 0.7256
Training F1 Micro: 0.8132 | Validation F1 Micro : 0.7140
Epoch 17, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3056e-02 | Validation Loss : 2.4957e-02
Training CC : 0.9210 | Validation CC : 0.9130
** Classification Losses **
Training Loss : 4.2170e-01 | Validation Loss : 5.6179e-01
Training F1 Macro: 0.7956 | Validation F1 Macro : 0.7425
Training F1 Micro: 0.8047 | Validation F1 Micro : 0.7360
Epoch 17, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3093e-02 | Validation Loss : 2.5146e-02
Training CC : 0.9213 | Validation CC : 0.9127
** Classification Losses **
Training Loss : 3.7884e-01 | Validation Loss : 5.6867e-01
Training F1 Macro: 0.8126 | Validation F1 Macro : 0.7540
Training F1 Micro: 0.8067 | Validation F1 Micro : 0.7460
Epoch 17, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2546e-02 | Validation Loss : 2.4686e-02
Training CC : 0.9224 | Validation CC : 0.9138
** Classification Losses **
Training Loss : 4.2222e-01 | Validation Loss : 6.2159e-01
Training F1 Macro: 0.7825 | Validation F1 Macro : 0.7118
Training F1 Micro: 0.7797 | Validation F1 Micro : 0.6980
Epoch 17, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2612e-02 | Validation Loss : 2.4582e-02
Training CC : 0.9227 | Validation CC : 0.9143
** Classification Losses **
Training Loss : 4.2889e-01 | Validation Loss : 5.7859e-01
Training F1 Macro: 0.7740 | Validation F1 Macro : 0.7158
Training F1 Micro: 0.7697 | Validation F1 Micro : 0.7060
Epoch 17, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2528e-02 | Validation Loss : 2.4463e-02
Training CC : 0.9232 | Validation CC : 0.9148
** Classification Losses **
Training Loss : 3.8329e-01 | Validation Loss : 6.1039e-01
Training F1 Macro: 0.7925 | Validation F1 Macro : 0.7106
Training F1 Micro: 0.7894 | Validation F1 Micro : 0.7020
Epoch 18, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2072e-02 | Validation Loss : 2.4514e-02
Training CC : 0.9241 | Validation CC : 0.9146
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7071e-01 | Validation Loss : 6.0722e-01
Training F1 Macro: 0.8271 | Validation F1 Macro : 0.7310
Training F1 Micro: 0.8188 | Validation F1 Micro : 0.7220
Epoch 18, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2204e-02 | Validation Loss : 2.4625e-02
Training CC : 0.9238 | Validation CC : 0.9142
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2064e-01 | Validation Loss : 6.2107e-01
Training F1 Macro: 0.7986 | Validation F1 Macro : 0.7102
Training F1 Micro: 0.7944 | Validation F1 Micro : 0.7040
Epoch 18, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2392e-02 | Validation Loss : 2.4719e-02
Training CC : 0.9234 | Validation CC : 0.9139
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4263e-01 | Validation Loss : 5.6745e-01
Training F1 Macro: 0.8325 | Validation F1 Macro : 0.7547
Training F1 Micro: 0.8257 | Validation F1 Micro : 0.7460
Epoch 18, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2374e-02 | Validation Loss : 2.4803e-02
Training CC : 0.9233 | Validation CC : 0.9136
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3717e-01 | Validation Loss : 5.7305e-01
Training F1 Macro: 0.8534 | Validation F1 Macro : 0.7466
Training F1 Micro: 0.8576 | Validation F1 Micro : 0.7420
Epoch 18, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2371e-02 | Validation Loss : 2.4908e-02
Training CC : 0.9232 | Validation CC : 0.9132
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6001e-01 | Validation Loss : 5.8773e-01
Training F1 Macro: 0.8123 | Validation F1 Macro : 0.7283
Training F1 Micro: 0.8101 | Validation F1 Micro : 0.7200
Epoch 19, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2620e-02 | Validation Loss : 2.4528e-02
Training CC : 0.9228 | Validation CC : 0.9145
** Classification Losses **
Training Loss : 3.5589e-01 | Validation Loss : 6.1278e-01
Training F1 Macro: 0.8124 | Validation F1 Macro : 0.7304
Training F1 Micro: 0.8185 | Validation F1 Micro : 0.7180
Epoch 19, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2158e-02 | Validation Loss : 2.4399e-02
Training CC : 0.9240 | Validation CC : 0.9149
** Classification Losses **
Training Loss : 3.4046e-01 | Validation Loss : 5.6121e-01
Training F1 Macro: 0.8194 | Validation F1 Macro : 0.7588
Training F1 Micro: 0.8118 | Validation F1 Micro : 0.7520
Epoch 19, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2294e-02 | Validation Loss : 2.4357e-02
Training CC : 0.9241 | Validation CC : 0.9152
** Classification Losses **
Training Loss : 3.4365e-01 | Validation Loss : 6.0007e-01
Training F1 Macro: 0.8249 | Validation F1 Macro : 0.7232
Training F1 Micro: 0.8256 | Validation F1 Micro : 0.7140
Epoch 19, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1913e-02 | Validation Loss : 2.4262e-02
Training CC : 0.9250 | Validation CC : 0.9156
** Classification Losses **
Training Loss : 4.2758e-01 | Validation Loss : 5.9473e-01
Training F1 Macro: 0.7793 | Validation F1 Macro : 0.7298
Training F1 Micro: 0.7731 | Validation F1 Micro : 0.7240
Epoch 19, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2038e-02 | Validation Loss : 2.4159e-02
Training CC : 0.9250 | Validation CC : 0.9158
** Classification Losses **
Training Loss : 3.8056e-01 | Validation Loss : 6.0928e-01
Training F1 Macro: 0.8244 | Validation F1 Macro : 0.7033
Training F1 Micro: 0.8305 | Validation F1 Micro : 0.6980
Epoch 20, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1665e-02 | Validation Loss : 2.4208e-02
Training CC : 0.9258 | Validation CC : 0.9156
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1217e-01 | Validation Loss : 6.1803e-01
Training F1 Macro: 0.7769 | Validation F1 Macro : 0.7200
Training F1 Micro: 0.8043 | Validation F1 Micro : 0.7120
Epoch 20, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1674e-02 | Validation Loss : 2.4318e-02
Training CC : 0.9258 | Validation CC : 0.9152
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0955e-01 | Validation Loss : 6.2549e-01
Training F1 Macro: 0.7754 | Validation F1 Macro : 0.7208
Training F1 Micro: 0.7800 | Validation F1 Micro : 0.7140
Epoch 20, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1838e-02 | Validation Loss : 2.4458e-02
Training CC : 0.9253 | Validation CC : 0.9147
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1871e-01 | Validation Loss : 6.1404e-01
Training F1 Macro: 0.7935 | Validation F1 Macro : 0.7067
Training F1 Micro: 0.7878 | Validation F1 Micro : 0.6960
Epoch 20, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2034e-02 | Validation Loss : 2.4568e-02
Training CC : 0.9247 | Validation CC : 0.9143
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1650e-01 | Validation Loss : 6.2771e-01
Training F1 Macro: 0.7738 | Validation F1 Macro : 0.7052
Training F1 Micro: 0.7667 | Validation F1 Micro : 0.6960
Epoch 20, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2400e-02 | Validation Loss : 2.4626e-02
Training CC : 0.9238 | Validation CC : 0.9141
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4699e-01 | Validation Loss : 5.8772e-01
Training F1 Macro: 0.8017 | Validation F1 Macro : 0.7396
Training F1 Micro: 0.8314 | Validation F1 Micro : 0.7300
Epoch 21, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1895e-02 | Validation Loss : 2.4285e-02
Training CC : 0.9250 | Validation CC : 0.9154
** Classification Losses **
Training Loss : 3.1862e-01 | Validation Loss : 5.9350e-01
Training F1 Macro: 0.8514 | Validation F1 Macro : 0.7384
Training F1 Micro: 0.8435 | Validation F1 Micro : 0.7280
Epoch 21, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1625e-02 | Validation Loss : 2.4121e-02
Training CC : 0.9260 | Validation CC : 0.9159
** Classification Losses **
Training Loss : 3.3211e-01 | Validation Loss : 6.2358e-01
Training F1 Macro: 0.8522 | Validation F1 Macro : 0.7215
Training F1 Micro: 0.8468 | Validation F1 Micro : 0.7120
Epoch 21, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1503e-02 | Validation Loss : 2.4101e-02
Training CC : 0.9264 | Validation CC : 0.9163
** Classification Losses **
Training Loss : 3.2790e-01 | Validation Loss : 6.0764e-01
Training F1 Macro: 0.8433 | Validation F1 Macro : 0.7105
Training F1 Micro: 0.8326 | Validation F1 Micro : 0.7040
Epoch 21, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1421e-02 | Validation Loss : 2.4065e-02
Training CC : 0.9268 | Validation CC : 0.9164
** Classification Losses **
Training Loss : 3.5878e-01 | Validation Loss : 5.7596e-01
Training F1 Macro: 0.8290 | Validation F1 Macro : 0.7326
Training F1 Micro: 0.8281 | Validation F1 Micro : 0.7240
Epoch 21, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1521e-02 | Validation Loss : 2.3897e-02
Training CC : 0.9268 | Validation CC : 0.9167
** Classification Losses **
Training Loss : 3.3499e-01 | Validation Loss : 6.4869e-01
Training F1 Macro: 0.8526 | Validation F1 Macro : 0.6928
Training F1 Micro: 0.8450 | Validation F1 Micro : 0.6860
Epoch 22, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1169e-02 | Validation Loss : 2.3934e-02
Training CC : 0.9276 | Validation CC : 0.9166
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9431e-01 | Validation Loss : 6.2145e-01
Training F1 Macro: 0.7923 | Validation F1 Macro : 0.7151
Training F1 Micro: 0.7836 | Validation F1 Micro : 0.7120
Epoch 22, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1215e-02 | Validation Loss : 2.4016e-02
Training CC : 0.9274 | Validation CC : 0.9163
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.7687e-01 | Validation Loss : 5.9309e-01
Training F1 Macro: 0.7579 | Validation F1 Macro : 0.7461
Training F1 Micro: 0.7421 | Validation F1 Micro : 0.7380
Epoch 22, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2028e-02 | Validation Loss : 2.4138e-02
Training CC : 0.9257 | Validation CC : 0.9158
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4389e-01 | Validation Loss : 5.7833e-01
Training F1 Macro: 0.8417 | Validation F1 Macro : 0.7449
Training F1 Micro: 0.8401 | Validation F1 Micro : 0.7380
Epoch 22, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1379e-02 | Validation Loss : 2.4226e-02
Training CC : 0.9268 | Validation CC : 0.9155
** Classification Losses ** <---- Now Optimizing
Training Loss : 2.7702e-01 | Validation Loss : 6.1182e-01
Training F1 Macro: 0.8772 | Validation F1 Macro : 0.7289
Training F1 Micro: 0.8734 | Validation F1 Micro : 0.7200
Epoch 22, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1643e-02 | Validation Loss : 2.4278e-02
Training CC : 0.9262 | Validation CC : 0.9153
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5215e-01 | Validation Loss : 5.5028e-01
Training F1 Macro: 0.8484 | Validation F1 Macro : 0.7424
Training F1 Micro: 0.8364 | Validation F1 Micro : 0.7320
Epoch 23, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1598e-02 | Validation Loss : 2.4084e-02
Training CC : 0.9264 | Validation CC : 0.9160
** Classification Losses **
Training Loss : 4.3905e-01 | Validation Loss : 5.9170e-01
Training F1 Macro: 0.7500 | Validation F1 Macro : 0.7423
Training F1 Micro: 0.7497 | Validation F1 Micro : 0.7400
Epoch 23, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1264e-02 | Validation Loss : 2.4153e-02
Training CC : 0.9274 | Validation CC : 0.9162
** Classification Losses **
Training Loss : 3.5328e-01 | Validation Loss : 5.7164e-01
Training F1 Macro: 0.8212 | Validation F1 Macro : 0.7407
Training F1 Micro: 0.8136 | Validation F1 Micro : 0.7320
Epoch 23, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1021e-02 | Validation Loss : 2.3913e-02
Training CC : 0.9280 | Validation CC : 0.9167
** Classification Losses **
Training Loss : 3.3505e-01 | Validation Loss : 6.3600e-01
Training F1 Macro: 0.8345 | Validation F1 Macro : 0.7107
Training F1 Micro: 0.8368 | Validation F1 Micro : 0.7020
Epoch 23, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1556e-02 | Validation Loss : 2.3826e-02
Training CC : 0.9272 | Validation CC : 0.9170
** Classification Losses **
Training Loss : 3.4284e-01 | Validation Loss : 6.1982e-01
Training F1 Macro: 0.8072 | Validation F1 Macro : 0.7127
Training F1 Micro: 0.8047 | Validation F1 Micro : 0.7040
Epoch 23, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1138e-02 | Validation Loss : 2.3817e-02
Training CC : 0.9281 | Validation CC : 0.9171
** Classification Losses **
Training Loss : 4.1254e-01 | Validation Loss : 5.7886e-01
Training F1 Macro: 0.7940 | Validation F1 Macro : 0.7119
Training F1 Micro: 0.7890 | Validation F1 Micro : 0.7040
Epoch 24, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.0758e-02 | Validation Loss : 2.3861e-02
Training CC : 0.9289 | Validation CC : 0.9169
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0942e-01 | Validation Loss : 5.7803e-01
Training F1 Macro: 0.7862 | Validation F1 Macro : 0.7448
Training F1 Micro: 0.7899 | Validation F1 Micro : 0.7380
Epoch 24, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.0850e-02 | Validation Loss : 2.3959e-02
Training CC : 0.9287 | Validation CC : 0.9166
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2793e-01 | Validation Loss : 6.5627e-01
Training F1 Macro: 0.8218 | Validation F1 Macro : 0.6967
Training F1 Micro: 0.8185 | Validation F1 Micro : 0.6860
Epoch 24, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.0871e-02 | Validation Loss : 2.4088e-02
Training CC : 0.9284 | Validation CC : 0.9161
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0652e-01 | Validation Loss : 5.9408e-01
Training F1 Macro: 0.8209 | Validation F1 Macro : 0.7178
Training F1 Micro: 0.8221 | Validation F1 Micro : 0.7060
Epoch 24, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1213e-02 | Validation Loss : 2.4185e-02
Training CC : 0.9275 | Validation CC : 0.9157
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.1615e-01 | Validation Loss : 6.0631e-01
Training F1 Macro: 0.8442 | Validation F1 Macro : 0.6919
Training F1 Micro: 0.8385 | Validation F1 Micro : 0.6800
Epoch 24, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1519e-02 | Validation Loss : 2.4184e-02
Training CC : 0.9268 | Validation CC : 0.9157
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5332e-01 | Validation Loss : 6.2564e-01
Training F1 Macro: 0.8416 | Validation F1 Macro : 0.7112
Training F1 Micro: 0.8461 | Validation F1 Micro : 0.7040
Epoch 25, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1488e-02 | Validation Loss : 2.4364e-02
Training CC : 0.9272 | Validation CC : 0.9156
** Classification Losses **
Training Loss : 3.7204e-01 | Validation Loss : 6.0788e-01
Training F1 Macro: 0.8248 | Validation F1 Macro : 0.7279
Training F1 Micro: 0.8156 | Validation F1 Micro : 0.7200
Epoch 25, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1373e-02 | Validation Loss : 2.4325e-02
Training CC : 0.9273 | Validation CC : 0.9152
** Classification Losses **
Training Loss : 4.1656e-01 | Validation Loss : 6.2808e-01
Training F1 Macro: 0.7841 | Validation F1 Macro : 0.7173
Training F1 Micro: 0.7940 | Validation F1 Micro : 0.7100
Epoch 25, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1553e-02 | Validation Loss : 2.4139e-02
Training CC : 0.9268 | Validation CC : 0.9162
** Classification Losses **
Training Loss : 4.0786e-01 | Validation Loss : 6.3124e-01
Training F1 Macro: 0.8098 | Validation F1 Macro : 0.6979
Training F1 Micro: 0.8017 | Validation F1 Micro : 0.6900
Epoch 25, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.0898e-02 | Validation Loss : 2.3759e-02
Training CC : 0.9285 | Validation CC : 0.9172
** Classification Losses **
Training Loss : 3.9985e-01 | Validation Loss : 6.4735e-01
Training F1 Macro: 0.7712 | Validation F1 Macro : 0.6929
Training F1 Micro: 0.7804 | Validation F1 Micro : 0.6860
Epoch 25, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1712e-02 | Validation Loss : 2.3826e-02
Training CC : 0.9274 | Validation CC : 0.9171
** Classification Losses **
Training Loss : 3.7654e-01 | Validation Loss : 6.1132e-01
Training F1 Macro: 0.8151 | Validation F1 Macro : 0.7074
Training F1 Micro: 0.8039 | Validation F1 Micro : 0.6960
Epoch 1, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.1966e-01 | Validation Loss : 3.3400e-01
Training CC : 0.1531 | Validation CC : 0.4131
** Classification Losses **
Training Loss : 1.4677e+00 | Validation Loss : 1.4916e+00
Training F1 Macro: 0.2473 | Validation F1 Macro : 0.2239
Training F1 Micro: 0.3191 | Validation F1 Micro : 0.2760
Epoch 1, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9875e-01 | Validation Loss : 2.4657e-01
Training CC : 0.5190 | Validation CC : 0.6098
** Classification Losses **
Training Loss : 1.4494e+00 | Validation Loss : 1.4655e+00
Training F1 Macro: 0.1904 | Validation F1 Macro : 0.1885
Training F1 Micro: 0.2754 | Validation F1 Micro : 0.2540
Epoch 1, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2123e-01 | Validation Loss : 1.8437e-01
Training CC : 0.6571 | Validation CC : 0.6929
** Classification Losses **
Training Loss : 1.4644e+00 | Validation Loss : 1.4951e+00
Training F1 Macro: 0.1646 | Validation F1 Macro : 0.1672
Training F1 Micro: 0.2523 | Validation F1 Micro : 0.2180
Epoch 1, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.6514e-01 | Validation Loss : 1.3690e-01
Training CC : 0.7237 | Validation CC : 0.7449
** Classification Losses **
Training Loss : 1.4669e+00 | Validation Loss : 1.5221e+00
Training F1 Macro: 0.2036 | Validation F1 Macro : 0.1696
Training F1 Micro: 0.2851 | Validation F1 Micro : 0.2140
Epoch 1, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.2185e-01 | Validation Loss : 1.0057e-01
Training CC : 0.7683 | Validation CC : 0.7815
** Classification Losses **
Training Loss : 1.4355e+00 | Validation Loss : 1.5233e+00
Training F1 Macro: 0.1851 | Validation F1 Macro : 0.1517
Training F1 Micro: 0.2881 | Validation F1 Micro : 0.2000
Epoch 2, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 1.0125e-01 | Validation Loss : 1.0240e-01
Training CC : 0.7865 | Validation CC : 0.7742
** Classification Losses ** <---- Now Optimizing
Training Loss : 1.3037e+00 | Validation Loss : 1.1748e+00
Training F1 Macro: 0.3090 | Validation F1 Macro : 0.4339
Training F1 Micro: 0.4014 | Validation F1 Micro : 0.4680
Epoch 2, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 1.0253e-01 | Validation Loss : 1.0282e-01
Training CC : 0.7815 | Validation CC : 0.7729
** Classification Losses ** <---- Now Optimizing
Training Loss : 9.6965e-01 | Validation Loss : 9.9231e-01
Training F1 Macro: 0.5907 | Validation F1 Macro : 0.5663
Training F1 Micro: 0.6424 | Validation F1 Micro : 0.5820
Epoch 2, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 1.0300e-01 | Validation Loss : 1.0354e-01
Training CC : 0.7801 | Validation CC : 0.7704
** Classification Losses ** <---- Now Optimizing
Training Loss : 7.9070e-01 | Validation Loss : 8.9347e-01
Training F1 Macro: 0.7086 | Validation F1 Macro : 0.6152
Training F1 Micro: 0.7300 | Validation F1 Micro : 0.6200
Epoch 2, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 1.0438e-01 | Validation Loss : 1.0524e-01
Training CC : 0.7749 | Validation CC : 0.7639
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.2264e-01 | Validation Loss : 8.7302e-01
Training F1 Macro: 0.8294 | Validation F1 Macro : 0.6295
Training F1 Micro: 0.8273 | Validation F1 Micro : 0.6280
Epoch 2, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 1.0647e-01 | Validation Loss : 1.0648e-01
Training CC : 0.7671 | Validation CC : 0.7590
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.1470e-01 | Validation Loss : 7.6671e-01
Training F1 Macro: 0.7688 | Validation F1 Macro : 0.6814
Training F1 Micro: 0.7687 | Validation F1 Micro : 0.6820
Epoch 3, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 9.2800e-02 | Validation Loss : 7.7132e-02
Training CC : 0.7869 | Validation CC : 0.7985
** Classification Losses **
Training Loss : 5.5367e-01 | Validation Loss : 7.6040e-01
Training F1 Macro: 0.7859 | Validation F1 Macro : 0.6971
Training F1 Micro: 0.7906 | Validation F1 Micro : 0.6960
Epoch 3, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 6.8551e-02 | Validation Loss : 5.8326e-02
Training CC : 0.8159 | Validation CC : 0.8226
** Classification Losses **
Training Loss : 5.8254e-01 | Validation Loss : 7.7131e-01
Training F1 Macro: 0.8247 | Validation F1 Macro : 0.6905
Training F1 Micro: 0.8246 | Validation F1 Micro : 0.6900
Epoch 3, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 5.2868e-02 | Validation Loss : 4.7334e-02
Training CC : 0.8352 | Validation CC : 0.8393
** Classification Losses **
Training Loss : 6.2814e-01 | Validation Loss : 7.8214e-01
Training F1 Macro: 0.8029 | Validation F1 Macro : 0.6900
Training F1 Micro: 0.7883 | Validation F1 Micro : 0.6900
Epoch 3, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.4494e-02 | Validation Loss : 4.1981e-02
Training CC : 0.8491 | Validation CC : 0.8502
** Classification Losses **
Training Loss : 6.0670e-01 | Validation Loss : 7.7619e-01
Training F1 Macro: 0.7696 | Validation F1 Macro : 0.6849
Training F1 Micro: 0.7769 | Validation F1 Micro : 0.6860
Epoch 3, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.9982e-02 | Validation Loss : 3.9547e-02
Training CC : 0.8591 | Validation CC : 0.8587
** Classification Losses **
Training Loss : 6.5061e-01 | Validation Loss : 8.0304e-01
Training F1 Macro: 0.7405 | Validation F1 Macro : 0.6817
Training F1 Micro: 0.7463 | Validation F1 Micro : 0.6800
Epoch 4, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.8977e-02 | Validation Loss : 3.9863e-02
Training CC : 0.8630 | Validation CC : 0.8572
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.1244e-01 | Validation Loss : 7.0705e-01
Training F1 Macro: 0.7943 | Validation F1 Macro : 0.7225
Training F1 Micro: 0.7976 | Validation F1 Micro : 0.7220
Epoch 4, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.9352e-02 | Validation Loss : 4.1354e-02
Training CC : 0.8604 | Validation CC : 0.8511
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.6997e-01 | Validation Loss : 7.1056e-01
Training F1 Macro: 0.7962 | Validation F1 Macro : 0.7211
Training F1 Micro: 0.8052 | Validation F1 Micro : 0.7160
Epoch 4, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.1660e-02 | Validation Loss : 4.3761e-02
Training CC : 0.8521 | Validation CC : 0.8416
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0541e-01 | Validation Loss : 6.5668e-01
Training F1 Macro: 0.8826 | Validation F1 Macro : 0.7387
Training F1 Micro: 0.8740 | Validation F1 Micro : 0.7340
Epoch 4, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.4200e-02 | Validation Loss : 4.5871e-02
Training CC : 0.8422 | Validation CC : 0.8333
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2872e-01 | Validation Loss : 6.1920e-01
Training F1 Macro: 0.8164 | Validation F1 Macro : 0.7569
Training F1 Micro: 0.8081 | Validation F1 Micro : 0.7500
Epoch 4, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 4.5712e-02 | Validation Loss : 4.6816e-02
Training CC : 0.8359 | Validation CC : 0.8296
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4588e-01 | Validation Loss : 6.8721e-01
Training F1 Macro: 0.7957 | Validation F1 Macro : 0.7136
Training F1 Micro: 0.7931 | Validation F1 Micro : 0.7040
Epoch 5, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.1693e-02 | Validation Loss : 4.1203e-02
Training CC : 0.8515 | Validation CC : 0.8527
** Classification Losses **
Training Loss : 4.8592e-01 | Validation Loss : 5.9288e-01
Training F1 Macro: 0.7503 | Validation F1 Macro : 0.7648
Training F1 Micro: 0.7485 | Validation F1 Micro : 0.7560
Epoch 5, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.8860e-02 | Validation Loss : 3.7875e-02
Training CC : 0.8637 | Validation CC : 0.8664
** Classification Losses **
Training Loss : 4.9829e-01 | Validation Loss : 6.3799e-01
Training F1 Macro: 0.7665 | Validation F1 Macro : 0.7243
Training F1 Micro: 0.7710 | Validation F1 Micro : 0.7220
Epoch 5, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.6797e-02 | Validation Loss : 3.6271e-02
Training CC : 0.8717 | Validation CC : 0.8715
** Classification Losses **
Training Loss : 4.2802e-01 | Validation Loss : 6.2996e-01
Training F1 Macro: 0.7830 | Validation F1 Macro : 0.7377
Training F1 Micro: 0.7985 | Validation F1 Micro : 0.7280
Epoch 5, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.4944e-02 | Validation Loss : 3.5286e-02
Training CC : 0.8777 | Validation CC : 0.8749
** Classification Losses **
Training Loss : 4.5550e-01 | Validation Loss : 6.0050e-01
Training F1 Macro: 0.8019 | Validation F1 Macro : 0.7565
Training F1 Micro: 0.8039 | Validation F1 Micro : 0.7520
Epoch 5, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.3727e-02 | Validation Loss : 3.4102e-02
Training CC : 0.8820 | Validation CC : 0.8788
** Classification Losses **
Training Loss : 4.4937e-01 | Validation Loss : 5.9803e-01
Training F1 Macro: 0.8071 | Validation F1 Macro : 0.7599
Training F1 Micro: 0.8017 | Validation F1 Micro : 0.7520
Epoch 6, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.3059e-02 | Validation Loss : 3.4228e-02
Training CC : 0.8839 | Validation CC : 0.8783
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.1938e-01 | Validation Loss : 5.7900e-01
Training F1 Macro: 0.8627 | Validation F1 Macro : 0.7513
Training F1 Micro: 0.8554 | Validation F1 Micro : 0.7480
Epoch 6, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.3548e-02 | Validation Loss : 3.4471e-02
Training CC : 0.8829 | Validation CC : 0.8774
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7797e-01 | Validation Loss : 5.6856e-01
Training F1 Macro: 0.8333 | Validation F1 Macro : 0.7661
Training F1 Micro: 0.8251 | Validation F1 Micro : 0.7600
Epoch 6, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.3513e-02 | Validation Loss : 3.4819e-02
Training CC : 0.8824 | Validation CC : 0.8760
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3139e-01 | Validation Loss : 5.8371e-01
Training F1 Macro: 0.8514 | Validation F1 Macro : 0.7544
Training F1 Micro: 0.8479 | Validation F1 Micro : 0.7480
Epoch 6, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.3923e-02 | Validation Loss : 3.5228e-02
Training CC : 0.8809 | Validation CC : 0.8744
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0728e-01 | Validation Loss : 5.6259e-01
Training F1 Macro: 0.8096 | Validation F1 Macro : 0.7503
Training F1 Micro: 0.8002 | Validation F1 Micro : 0.7460
Epoch 6, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.4509e-02 | Validation Loss : 3.5638e-02
Training CC : 0.8790 | Validation CC : 0.8729
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4091e-01 | Validation Loss : 5.8933e-01
Training F1 Macro: 0.8282 | Validation F1 Macro : 0.7550
Training F1 Micro: 0.8143 | Validation F1 Micro : 0.7480
Epoch 7, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.3528e-02 | Validation Loss : 3.3859e-02
Training CC : 0.8822 | Validation CC : 0.8798
** Classification Losses **
Training Loss : 4.3709e-01 | Validation Loss : 5.9348e-01
Training F1 Macro: 0.7979 | Validation F1 Macro : 0.7477
Training F1 Micro: 0.7949 | Validation F1 Micro : 0.7420
Epoch 7, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2837e-02 | Validation Loss : 3.2824e-02
Training CC : 0.8855 | Validation CC : 0.8836
** Classification Losses **
Training Loss : 3.3858e-01 | Validation Loss : 5.8207e-01
Training F1 Macro: 0.8465 | Validation F1 Macro : 0.7405
Training F1 Micro: 0.8441 | Validation F1 Micro : 0.7300
Epoch 7, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.1815e-02 | Validation Loss : 3.2315e-02
Training CC : 0.8893 | Validation CC : 0.8855
** Classification Losses **
Training Loss : 3.7630e-01 | Validation Loss : 5.8890e-01
Training F1 Macro: 0.7981 | Validation F1 Macro : 0.7355
Training F1 Micro: 0.7964 | Validation F1 Micro : 0.7300
Epoch 7, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.1164e-02 | Validation Loss : 3.1804e-02
Training CC : 0.8916 | Validation CC : 0.8875
** Classification Losses **
Training Loss : 4.0988e-01 | Validation Loss : 5.4395e-01
Training F1 Macro: 0.8052 | Validation F1 Macro : 0.7663
Training F1 Micro: 0.7978 | Validation F1 Micro : 0.7600
Epoch 7, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0264e-02 | Validation Loss : 3.1277e-02
Training CC : 0.8943 | Validation CC : 0.8896
** Classification Losses **
Training Loss : 3.8597e-01 | Validation Loss : 5.9472e-01
Training F1 Macro: 0.8061 | Validation F1 Macro : 0.7390
Training F1 Micro: 0.8024 | Validation F1 Micro : 0.7300
Epoch 8, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9974e-02 | Validation Loss : 3.1399e-02
Training CC : 0.8954 | Validation CC : 0.8891
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2471e-01 | Validation Loss : 6.0521e-01
Training F1 Macro: 0.7774 | Validation F1 Macro : 0.7343
Training F1 Micro: 0.7679 | Validation F1 Micro : 0.7300
Epoch 8, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.0303e-02 | Validation Loss : 3.1582e-02
Training CC : 0.8945 | Validation CC : 0.8883
** Classification Losses ** <---- Now Optimizing
Training Loss : 2.7168e-01 | Validation Loss : 6.0673e-01
Training F1 Macro: 0.8717 | Validation F1 Macro : 0.7140
Training F1 Micro: 0.8633 | Validation F1 Micro : 0.7120
Epoch 8, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.0363e-02 | Validation Loss : 3.1816e-02
Training CC : 0.8941 | Validation CC : 0.8874
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8976e-01 | Validation Loss : 6.1307e-01
Training F1 Macro: 0.7989 | Validation F1 Macro : 0.7203
Training F1 Micro: 0.8243 | Validation F1 Micro : 0.7160
Epoch 8, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.0778e-02 | Validation Loss : 3.2040e-02
Training CC : 0.8929 | Validation CC : 0.8866
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3394e-01 | Validation Loss : 5.9589e-01
Training F1 Macro: 0.8316 | Validation F1 Macro : 0.7387
Training F1 Micro: 0.8443 | Validation F1 Micro : 0.7360
Epoch 8, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.0971e-02 | Validation Loss : 3.2235e-02
Training CC : 0.8922 | Validation CC : 0.8858
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6850e-01 | Validation Loss : 5.9549e-01
Training F1 Macro: 0.7984 | Validation F1 Macro : 0.7347
Training F1 Micro: 0.8006 | Validation F1 Micro : 0.7360
Epoch 9, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0231e-02 | Validation Loss : 3.1197e-02
Training CC : 0.8944 | Validation CC : 0.8898
** Classification Losses **
Training Loss : 4.5074e-01 | Validation Loss : 5.9799e-01
Training F1 Macro: 0.7361 | Validation F1 Macro : 0.7393
Training F1 Micro: 0.7531 | Validation F1 Micro : 0.7380
Epoch 9, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0116e-02 | Validation Loss : 3.0601e-02
Training CC : 0.8957 | Validation CC : 0.8920
** Classification Losses **
Training Loss : 3.6174e-01 | Validation Loss : 5.8717e-01
Training F1 Macro: 0.8275 | Validation F1 Macro : 0.7415
Training F1 Micro: 0.8266 | Validation F1 Micro : 0.7400
Epoch 9, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9926e-02 | Validation Loss : 3.0156e-02
Training CC : 0.8975 | Validation CC : 0.8936
** Classification Losses **
Training Loss : 4.0630e-01 | Validation Loss : 5.7962e-01
Training F1 Macro: 0.7893 | Validation F1 Macro : 0.7527
Training F1 Micro: 0.7858 | Validation F1 Micro : 0.7500
Epoch 9, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9127e-02 | Validation Loss : 2.9877e-02
Training CC : 0.8997 | Validation CC : 0.8951
** Classification Losses **
Training Loss : 3.9059e-01 | Validation Loss : 6.3449e-01
Training F1 Macro: 0.7761 | Validation F1 Macro : 0.7176
Training F1 Micro: 0.7862 | Validation F1 Micro : 0.7180
Epoch 9, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8259e-02 | Validation Loss : 2.9488e-02
Training CC : 0.9019 | Validation CC : 0.8962
** Classification Losses **
Training Loss : 3.9140e-01 | Validation Loss : 5.9225e-01
Training F1 Macro: 0.7673 | Validation F1 Macro : 0.7432
Training F1 Micro: 0.7632 | Validation F1 Micro : 0.7420
Epoch 10, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8470e-02 | Validation Loss : 2.9550e-02
Training CC : 0.9019 | Validation CC : 0.8960
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5670e-01 | Validation Loss : 5.9887e-01
Training F1 Macro: 0.8120 | Validation F1 Macro : 0.7190
Training F1 Micro: 0.8053 | Validation F1 Micro : 0.7240
Epoch 10, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8272e-02 | Validation Loss : 2.9638e-02
Training CC : 0.9022 | Validation CC : 0.8956
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5363e-01 | Validation Loss : 6.2453e-01
Training F1 Macro: 0.7765 | Validation F1 Macro : 0.7067
Training F1 Micro: 0.7740 | Validation F1 Micro : 0.7040
Epoch 10, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8054e-02 | Validation Loss : 2.9749e-02
Training CC : 0.9024 | Validation CC : 0.8952
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0716e-01 | Validation Loss : 6.4434e-01
Training F1 Macro: 0.7956 | Validation F1 Macro : 0.6949
Training F1 Micro: 0.7946 | Validation F1 Micro : 0.6900
Epoch 10, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8593e-02 | Validation Loss : 2.9862e-02
Training CC : 0.9013 | Validation CC : 0.8948
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6416e-01 | Validation Loss : 6.2431e-01
Training F1 Macro: 0.8326 | Validation F1 Macro : 0.7044
Training F1 Micro: 0.8299 | Validation F1 Micro : 0.6980
Epoch 10, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8283e-02 | Validation Loss : 2.9955e-02
Training CC : 0.9016 | Validation CC : 0.8944
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4306e-01 | Validation Loss : 5.8922e-01
Training F1 Macro: 0.8185 | Validation F1 Macro : 0.7384
Training F1 Micro: 0.8117 | Validation F1 Micro : 0.7340
Epoch 11, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8205e-02 | Validation Loss : 2.9421e-02
Training CC : 0.9023 | Validation CC : 0.8964
** Classification Losses **
Training Loss : 3.8005e-01 | Validation Loss : 6.1606e-01
Training F1 Macro: 0.8291 | Validation F1 Macro : 0.7209
Training F1 Micro: 0.8264 | Validation F1 Micro : 0.7100
Epoch 11, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7903e-02 | Validation Loss : 2.9067e-02
Training CC : 0.9035 | Validation CC : 0.8978
** Classification Losses **
Training Loss : 3.5551e-01 | Validation Loss : 5.8321e-01
Training F1 Macro: 0.8290 | Validation F1 Macro : 0.7462
Training F1 Micro: 0.8341 | Validation F1 Micro : 0.7400
Epoch 11, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7401e-02 | Validation Loss : 2.8790e-02
Training CC : 0.9052 | Validation CC : 0.8988
** Classification Losses **
Training Loss : 3.0228e-01 | Validation Loss : 6.3245e-01
Training F1 Macro: 0.8890 | Validation F1 Macro : 0.7096
Training F1 Micro: 0.8819 | Validation F1 Micro : 0.7020
Epoch 11, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7330e-02 | Validation Loss : 2.8522e-02
Training CC : 0.9059 | Validation CC : 0.8999
** Classification Losses **
Training Loss : 4.3759e-01 | Validation Loss : 6.0969e-01
Training F1 Macro: 0.7881 | Validation F1 Macro : 0.7175
Training F1 Micro: 0.7751 | Validation F1 Micro : 0.7100
Epoch 11, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6648e-02 | Validation Loss : 2.8287e-02
Training CC : 0.9076 | Validation CC : 0.9006
** Classification Losses **
Training Loss : 3.7620e-01 | Validation Loss : 6.3021e-01
Training F1 Macro: 0.8310 | Validation F1 Macro : 0.7216
Training F1 Micro: 0.8253 | Validation F1 Micro : 0.7160
Epoch 12, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6989e-02 | Validation Loss : 2.8326e-02
Training CC : 0.9074 | Validation CC : 0.9005
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4106e-01 | Validation Loss : 6.3941e-01
Training F1 Macro: 0.8394 | Validation F1 Macro : 0.7235
Training F1 Micro: 0.8352 | Validation F1 Micro : 0.7220
Epoch 12, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6823e-02 | Validation Loss : 2.8384e-02
Training CC : 0.9076 | Validation CC : 0.9003
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7943e-01 | Validation Loss : 6.2775e-01
Training F1 Macro: 0.8144 | Validation F1 Macro : 0.7180
Training F1 Micro: 0.8138 | Validation F1 Micro : 0.7060
Epoch 12, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6982e-02 | Validation Loss : 2.8461e-02
Training CC : 0.9072 | Validation CC : 0.9000
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9003e-01 | Validation Loss : 6.3942e-01
Training F1 Macro: 0.8137 | Validation F1 Macro : 0.7242
Training F1 Micro: 0.7997 | Validation F1 Micro : 0.7160
Epoch 12, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6873e-02 | Validation Loss : 2.8539e-02
Training CC : 0.9072 | Validation CC : 0.8997
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9484e-01 | Validation Loss : 6.2776e-01
Training F1 Macro: 0.7945 | Validation F1 Macro : 0.7071
Training F1 Micro: 0.7891 | Validation F1 Micro : 0.7020
Epoch 12, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6845e-02 | Validation Loss : 2.8637e-02
Training CC : 0.9072 | Validation CC : 0.8993
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2824e-01 | Validation Loss : 6.1745e-01
Training F1 Macro: 0.8418 | Validation F1 Macro : 0.7063
Training F1 Micro: 0.8394 | Validation F1 Micro : 0.7040
Epoch 13, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7263e-02 | Validation Loss : 2.8294e-02
Training CC : 0.9065 | Validation CC : 0.9006
** Classification Losses **
Training Loss : 3.3149e-01 | Validation Loss : 6.6390e-01
Training F1 Macro: 0.8517 | Validation F1 Macro : 0.6896
Training F1 Micro: 0.8488 | Validation F1 Micro : 0.6820
Epoch 13, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7205e-02 | Validation Loss : 2.8016e-02
Training CC : 0.9074 | Validation CC : 0.9017
** Classification Losses **
Training Loss : 3.5219e-01 | Validation Loss : 6.1876e-01
Training F1 Macro: 0.8443 | Validation F1 Macro : 0.7360
Training F1 Micro: 0.8428 | Validation F1 Micro : 0.7320
Epoch 13, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6194e-02 | Validation Loss : 2.7783e-02
Training CC : 0.9096 | Validation CC : 0.9025
** Classification Losses **
Training Loss : 2.9915e-01 | Validation Loss : 6.3457e-01
Training F1 Macro: 0.8393 | Validation F1 Macro : 0.6925
Training F1 Micro: 0.8467 | Validation F1 Micro : 0.6900
Epoch 13, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5859e-02 | Validation Loss : 2.7638e-02
Training CC : 0.9106 | Validation CC : 0.9032
** Classification Losses **
Training Loss : 4.3482e-01 | Validation Loss : 6.3431e-01
Training F1 Macro: 0.7957 | Validation F1 Macro : 0.7076
Training F1 Micro: 0.7858 | Validation F1 Micro : 0.7040
Epoch 13, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5720e-02 | Validation Loss : 2.7438e-02
Training CC : 0.9113 | Validation CC : 0.9039
** Classification Losses **
Training Loss : 4.0922e-01 | Validation Loss : 6.2595e-01
Training F1 Macro: 0.8132 | Validation F1 Macro : 0.7159
Training F1 Micro: 0.8018 | Validation F1 Micro : 0.7140
Epoch 14, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5787e-02 | Validation Loss : 2.7478e-02
Training CC : 0.9115 | Validation CC : 0.9037
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4498e-01 | Validation Loss : 6.5355e-01
Training F1 Macro: 0.8449 | Validation F1 Macro : 0.7012
Training F1 Micro: 0.8457 | Validation F1 Micro : 0.6960
Epoch 14, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5521e-02 | Validation Loss : 2.7549e-02
Training CC : 0.9119 | Validation CC : 0.9035
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4660e-01 | Validation Loss : 5.8067e-01
Training F1 Macro: 0.7662 | Validation F1 Macro : 0.7434
Training F1 Micro: 0.7701 | Validation F1 Micro : 0.7380
Epoch 14, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5567e-02 | Validation Loss : 2.7644e-02
Training CC : 0.9117 | Validation CC : 0.9031
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5669e-01 | Validation Loss : 6.4318e-01
Training F1 Macro: 0.8547 | Validation F1 Macro : 0.7003
Training F1 Micro: 0.8472 | Validation F1 Micro : 0.6940
Epoch 14, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5824e-02 | Validation Loss : 2.7731e-02
Training CC : 0.9111 | Validation CC : 0.9028
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6919e-01 | Validation Loss : 6.2489e-01
Training F1 Macro: 0.8445 | Validation F1 Macro : 0.7151
Training F1 Micro: 0.8374 | Validation F1 Micro : 0.7120
Epoch 14, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6135e-02 | Validation Loss : 2.7800e-02
Training CC : 0.9104 | Validation CC : 0.9025
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2438e-01 | Validation Loss : 6.1637e-01
Training F1 Macro: 0.7690 | Validation F1 Macro : 0.7240
Training F1 Micro: 0.7697 | Validation F1 Micro : 0.7140
Epoch 15, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5651e-02 | Validation Loss : 2.7476e-02
Training CC : 0.9114 | Validation CC : 0.9036
** Classification Losses **
Training Loss : 3.5511e-01 | Validation Loss : 6.2746e-01
Training F1 Macro: 0.8102 | Validation F1 Macro : 0.7045
Training F1 Micro: 0.8038 | Validation F1 Micro : 0.6960
Epoch 15, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5620e-02 | Validation Loss : 2.7332e-02
Training CC : 0.9120 | Validation CC : 0.9043
** Classification Losses **
Training Loss : 3.8295e-01 | Validation Loss : 6.2926e-01
Training F1 Macro: 0.8098 | Validation F1 Macro : 0.7325
Training F1 Micro: 0.7992 | Validation F1 Micro : 0.7280
Epoch 15, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5347e-02 | Validation Loss : 2.7123e-02
Training CC : 0.9131 | Validation CC : 0.9051
** Classification Losses **
Training Loss : 4.5440e-01 | Validation Loss : 6.5418e-01
Training F1 Macro: 0.7858 | Validation F1 Macro : 0.6985
Training F1 Micro: 0.7799 | Validation F1 Micro : 0.6940
Epoch 15, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5499e-02 | Validation Loss : 2.6949e-02
Training CC : 0.9131 | Validation CC : 0.9056
** Classification Losses **
Training Loss : 3.7048e-01 | Validation Loss : 6.0820e-01
Training F1 Macro: 0.8352 | Validation F1 Macro : 0.7364
Training F1 Micro: 0.8297 | Validation F1 Micro : 0.7280
Epoch 15, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5212e-02 | Validation Loss : 2.6911e-02
Training CC : 0.9138 | Validation CC : 0.9060
** Classification Losses **
Training Loss : 3.2729e-01 | Validation Loss : 6.2208e-01
Training F1 Macro: 0.8242 | Validation F1 Macro : 0.7187
Training F1 Micro: 0.8188 | Validation F1 Micro : 0.7140
Epoch 16, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4688e-02 | Validation Loss : 2.6935e-02
Training CC : 0.9150 | Validation CC : 0.9059
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8846e-01 | Validation Loss : 6.4035e-01
Training F1 Macro: 0.8001 | Validation F1 Macro : 0.6846
Training F1 Micro: 0.7902 | Validation F1 Micro : 0.6760
Epoch 16, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4769e-02 | Validation Loss : 2.6973e-02
Training CC : 0.9148 | Validation CC : 0.9057
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0254e-01 | Validation Loss : 6.1725e-01
Training F1 Macro: 0.7960 | Validation F1 Macro : 0.7118
Training F1 Micro: 0.7924 | Validation F1 Micro : 0.7100
Epoch 16, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4785e-02 | Validation Loss : 2.7030e-02
Training CC : 0.9147 | Validation CC : 0.9055
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9054e-01 | Validation Loss : 6.8138e-01
Training F1 Macro: 0.7929 | Validation F1 Macro : 0.6845
Training F1 Micro: 0.7958 | Validation F1 Micro : 0.6800
Epoch 16, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5048e-02 | Validation Loss : 2.7125e-02
Training CC : 0.9141 | Validation CC : 0.9051
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7134e-01 | Validation Loss : 6.3572e-01
Training F1 Macro: 0.8011 | Validation F1 Macro : 0.7055
Training F1 Micro: 0.8061 | Validation F1 Micro : 0.7000
Epoch 16, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5413e-02 | Validation Loss : 2.7214e-02
Training CC : 0.9134 | Validation CC : 0.9048
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0935e-01 | Validation Loss : 6.1840e-01
Training F1 Macro: 0.8412 | Validation F1 Macro : 0.7211
Training F1 Micro: 0.8323 | Validation F1 Micro : 0.7160
Epoch 17, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5143e-02 | Validation Loss : 2.6903e-02
Training CC : 0.9138 | Validation CC : 0.9058
** Classification Losses **
Training Loss : 3.6906e-01 | Validation Loss : 6.3774e-01
Training F1 Macro: 0.8297 | Validation F1 Macro : 0.7025
Training F1 Micro: 0.8272 | Validation F1 Micro : 0.6960
Epoch 17, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4637e-02 | Validation Loss : 2.6772e-02
Training CC : 0.9151 | Validation CC : 0.9064
** Classification Losses **
Training Loss : 4.5661e-01 | Validation Loss : 6.1848e-01
Training F1 Macro: 0.7411 | Validation F1 Macro : 0.7331
Training F1 Micro: 0.7481 | Validation F1 Micro : 0.7300
Epoch 17, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4654e-02 | Validation Loss : 2.6623e-02
Training CC : 0.9157 | Validation CC : 0.9069
** Classification Losses **
Training Loss : 3.8305e-01 | Validation Loss : 6.5365e-01
Training F1 Macro: 0.8198 | Validation F1 Macro : 0.7063
Training F1 Micro: 0.8092 | Validation F1 Micro : 0.7040
Epoch 17, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4459e-02 | Validation Loss : 2.6482e-02
Training CC : 0.9163 | Validation CC : 0.9073
** Classification Losses **
Training Loss : 3.1839e-01 | Validation Loss : 6.3016e-01
Training F1 Macro: 0.8617 | Validation F1 Macro : 0.7199
Training F1 Micro: 0.8654 | Validation F1 Micro : 0.7180
Epoch 17, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4494e-02 | Validation Loss : 2.6420e-02
Training CC : 0.9166 | Validation CC : 0.9078
** Classification Losses **
Training Loss : 3.9281e-01 | Validation Loss : 6.8096e-01
Training F1 Macro: 0.7779 | Validation F1 Macro : 0.6848
Training F1 Micro: 0.7850 | Validation F1 Micro : 0.6820
Epoch 18, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4117e-02 | Validation Loss : 2.6444e-02
Training CC : 0.9174 | Validation CC : 0.9077
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8554e-01 | Validation Loss : 6.8953e-01
Training F1 Macro: 0.8089 | Validation F1 Macro : 0.6863
Training F1 Micro: 0.8125 | Validation F1 Micro : 0.6820
Epoch 18, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4115e-02 | Validation Loss : 2.6478e-02
Training CC : 0.9173 | Validation CC : 0.9075
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9526e-01 | Validation Loss : 6.6377e-01
Training F1 Macro: 0.8004 | Validation F1 Macro : 0.6966
Training F1 Micro: 0.7919 | Validation F1 Micro : 0.6960
Epoch 18, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3872e-02 | Validation Loss : 2.6542e-02
Training CC : 0.9177 | Validation CC : 0.9073
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4593e-01 | Validation Loss : 6.6965e-01
Training F1 Macro: 0.7727 | Validation F1 Macro : 0.7162
Training F1 Micro: 0.7646 | Validation F1 Micro : 0.7120
Epoch 18, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4151e-02 | Validation Loss : 2.6612e-02
Training CC : 0.9170 | Validation CC : 0.9070
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.1362e-01 | Validation Loss : 6.8941e-01
Training F1 Macro: 0.8439 | Validation F1 Macro : 0.6986
Training F1 Micro: 0.8330 | Validation F1 Micro : 0.6940
Epoch 18, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4318e-02 | Validation Loss : 2.6695e-02
Training CC : 0.9166 | Validation CC : 0.9067
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1676e-01 | Validation Loss : 7.0568e-01
Training F1 Macro: 0.7846 | Validation F1 Macro : 0.6858
Training F1 Micro: 0.7782 | Validation F1 Micro : 0.6780
Epoch 19, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4270e-02 | Validation Loss : 2.6459e-02
Training CC : 0.9167 | Validation CC : 0.9075
** Classification Losses **
Training Loss : 3.6877e-01 | Validation Loss : 6.7540e-01
Training F1 Macro: 0.8101 | Validation F1 Macro : 0.6919
Training F1 Micro: 0.8109 | Validation F1 Micro : 0.6900
Epoch 19, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4159e-02 | Validation Loss : 2.6413e-02
Training CC : 0.9172 | Validation CC : 0.9079
** Classification Losses **
Training Loss : 4.0872e-01 | Validation Loss : 6.7681e-01
Training F1 Macro: 0.8245 | Validation F1 Macro : 0.7004
Training F1 Micro: 0.8116 | Validation F1 Micro : 0.6940
Epoch 19, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3693e-02 | Validation Loss : 2.6243e-02
Training CC : 0.9183 | Validation CC : 0.9082
** Classification Losses **
Training Loss : 4.5130e-01 | Validation Loss : 6.5359e-01
Training F1 Macro: 0.7728 | Validation F1 Macro : 0.7268
Training F1 Micro: 0.7685 | Validation F1 Micro : 0.7240
Epoch 19, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3489e-02 | Validation Loss : 2.6149e-02
Training CC : 0.9191 | Validation CC : 0.9087
** Classification Losses **
Training Loss : 4.2453e-01 | Validation Loss : 6.6739e-01
Training F1 Macro: 0.8146 | Validation F1 Macro : 0.6883
Training F1 Micro: 0.7978 | Validation F1 Micro : 0.6900
Epoch 19, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3318e-02 | Validation Loss : 2.6037e-02
Training CC : 0.9198 | Validation CC : 0.9090
** Classification Losses **
Training Loss : 4.3074e-01 | Validation Loss : 6.7187e-01
Training F1 Macro: 0.8024 | Validation F1 Macro : 0.6842
Training F1 Micro: 0.7992 | Validation F1 Micro : 0.6820
Epoch 20, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3353e-02 | Validation Loss : 2.6074e-02
Training CC : 0.9198 | Validation CC : 0.9089
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4899e-01 | Validation Loss : 6.9185e-01
Training F1 Macro: 0.7533 | Validation F1 Macro : 0.6940
Training F1 Micro: 0.7495 | Validation F1 Micro : 0.6900
Epoch 20, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3319e-02 | Validation Loss : 2.6111e-02
Training CC : 0.9199 | Validation CC : 0.9088
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5328e-01 | Validation Loss : 6.7850e-01
Training F1 Macro: 0.8370 | Validation F1 Macro : 0.6871
Training F1 Micro: 0.8313 | Validation F1 Micro : 0.6820
Epoch 20, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3326e-02 | Validation Loss : 2.6159e-02
Training CC : 0.9197 | Validation CC : 0.9086
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7618e-01 | Validation Loss : 6.5901e-01
Training F1 Macro: 0.8050 | Validation F1 Macro : 0.6860
Training F1 Micro: 0.8088 | Validation F1 Micro : 0.6820
Epoch 20, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3525e-02 | Validation Loss : 2.6200e-02
Training CC : 0.9193 | Validation CC : 0.9084
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2128e-01 | Validation Loss : 6.9099e-01
Training F1 Macro: 0.8289 | Validation F1 Macro : 0.6671
Training F1 Micro: 0.8447 | Validation F1 Micro : 0.6660
Epoch 20, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3573e-02 | Validation Loss : 2.6253e-02
Training CC : 0.9191 | Validation CC : 0.9082
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9227e-01 | Validation Loss : 6.9198e-01
Training F1 Macro: 0.7880 | Validation F1 Macro : 0.6587
Training F1 Micro: 0.7907 | Validation F1 Micro : 0.6600
Epoch 21, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3457e-02 | Validation Loss : 2.6091e-02
Training CC : 0.9194 | Validation CC : 0.9088
** Classification Losses **
Training Loss : 4.2614e-01 | Validation Loss : 7.1844e-01
Training F1 Macro: 0.7554 | Validation F1 Macro : 0.6716
Training F1 Micro: 0.7602 | Validation F1 Micro : 0.6760
Epoch 21, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3597e-02 | Validation Loss : 2.6100e-02
Training CC : 0.9195 | Validation CC : 0.9092
** Classification Losses **
Training Loss : 4.1952e-01 | Validation Loss : 7.1194e-01
Training F1 Macro: 0.7713 | Validation F1 Macro : 0.6759
Training F1 Micro: 0.7826 | Validation F1 Micro : 0.6780
Epoch 21, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3265e-02 | Validation Loss : 2.5918e-02
Training CC : 0.9203 | Validation CC : 0.9094
** Classification Losses **
Training Loss : 4.2699e-01 | Validation Loss : 6.7836e-01
Training F1 Macro: 0.7921 | Validation F1 Macro : 0.6768
Training F1 Micro: 0.7958 | Validation F1 Micro : 0.6820
Epoch 21, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3069e-02 | Validation Loss : 2.5865e-02
Training CC : 0.9209 | Validation CC : 0.9098
** Classification Losses **
Training Loss : 3.5707e-01 | Validation Loss : 7.4228e-01
Training F1 Macro: 0.8125 | Validation F1 Macro : 0.6507
Training F1 Micro: 0.8143 | Validation F1 Micro : 0.6520
Epoch 21, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2788e-02 | Validation Loss : 2.5762e-02
Training CC : 0.9217 | Validation CC : 0.9101
** Classification Losses **
Training Loss : 2.9863e-01 | Validation Loss : 7.0813e-01
Training F1 Macro: 0.8345 | Validation F1 Macro : 0.6806
Training F1 Micro: 0.8376 | Validation F1 Micro : 0.6800
Epoch 22, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2662e-02 | Validation Loss : 2.5784e-02
Training CC : 0.9221 | Validation CC : 0.9100
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8835e-01 | Validation Loss : 7.0407e-01
Training F1 Macro: 0.8007 | Validation F1 Macro : 0.6819
Training F1 Micro: 0.8048 | Validation F1 Micro : 0.6840
Epoch 22, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2720e-02 | Validation Loss : 2.5825e-02
Training CC : 0.9219 | Validation CC : 0.9098
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8715e-01 | Validation Loss : 7.0007e-01
Training F1 Macro: 0.8141 | Validation F1 Macro : 0.6861
Training F1 Micro: 0.8140 | Validation F1 Micro : 0.6860
Epoch 22, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3416e-02 | Validation Loss : 2.5861e-02
Training CC : 0.9207 | Validation CC : 0.9097
** Classification Losses ** <---- Now Optimizing
Training Loss : 2.6295e-01 | Validation Loss : 6.6893e-01
Training F1 Macro: 0.8385 | Validation F1 Macro : 0.7228
Training F1 Micro: 0.8489 | Validation F1 Micro : 0.7260
Epoch 22, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2955e-02 | Validation Loss : 2.5900e-02
Training CC : 0.9213 | Validation CC : 0.9096
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3940e-01 | Validation Loss : 6.8013e-01
Training F1 Macro: 0.7616 | Validation F1 Macro : 0.6881
Training F1 Micro: 0.7548 | Validation F1 Micro : 0.6860
Epoch 22, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2873e-02 | Validation Loss : 2.5969e-02
Training CC : 0.9214 | Validation CC : 0.9093
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3328e-01 | Validation Loss : 6.7581e-01
Training F1 Macro: 0.8638 | Validation F1 Macro : 0.6998
Training F1 Micro: 0.8649 | Validation F1 Micro : 0.6960
Epoch 23, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2957e-02 | Validation Loss : 2.5851e-02
Training CC : 0.9213 | Validation CC : 0.9097
** Classification Losses **
Training Loss : 3.8367e-01 | Validation Loss : 6.9063e-01
Training F1 Macro: 0.7991 | Validation F1 Macro : 0.7078
Training F1 Micro: 0.8059 | Validation F1 Micro : 0.7060
Epoch 23, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2671e-02 | Validation Loss : 2.5845e-02
Training CC : 0.9221 | Validation CC : 0.9099
** Classification Losses **
Training Loss : 3.7772e-01 | Validation Loss : 7.1201e-01
Training F1 Macro: 0.8200 | Validation F1 Macro : 0.6569
Training F1 Micro: 0.8133 | Validation F1 Micro : 0.6560
Epoch 23, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2870e-02 | Validation Loss : 2.5693e-02
Training CC : 0.9221 | Validation CC : 0.9105
** Classification Losses **
Training Loss : 3.8927e-01 | Validation Loss : 7.0709e-01
Training F1 Macro: 0.8143 | Validation F1 Macro : 0.6826
Training F1 Micro: 0.8133 | Validation F1 Micro : 0.6820
Epoch 23, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2603e-02 | Validation Loss : 2.5643e-02
Training CC : 0.9228 | Validation CC : 0.9105
** Classification Losses **
Training Loss : 3.5564e-01 | Validation Loss : 6.9926e-01
Training F1 Macro: 0.8297 | Validation F1 Macro : 0.6868
Training F1 Micro: 0.8250 | Validation F1 Micro : 0.6820
Epoch 23, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3013e-02 | Validation Loss : 2.5640e-02
Training CC : 0.9221 | Validation CC : 0.9104
** Classification Losses **
Training Loss : 3.4489e-01 | Validation Loss : 7.4056e-01
Training F1 Macro: 0.8302 | Validation F1 Macro : 0.6606
Training F1 Micro: 0.8238 | Validation F1 Micro : 0.6600
Epoch 24, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2391e-02 | Validation Loss : 2.5664e-02
Training CC : 0.9233 | Validation CC : 0.9103
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6841e-01 | Validation Loss : 7.6039e-01
Training F1 Macro: 0.8304 | Validation F1 Macro : 0.6684
Training F1 Micro: 0.8312 | Validation F1 Micro : 0.6660
Epoch 24, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2358e-02 | Validation Loss : 2.5668e-02
Training CC : 0.9233 | Validation CC : 0.9103
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9732e-01 | Validation Loss : 7.2494e-01
Training F1 Macro: 0.8087 | Validation F1 Macro : 0.6757
Training F1 Micro: 0.8007 | Validation F1 Micro : 0.6740
Epoch 24, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2761e-02 | Validation Loss : 2.5702e-02
Training CC : 0.9226 | Validation CC : 0.9102
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6008e-01 | Validation Loss : 6.8667e-01
Training F1 Macro: 0.8002 | Validation F1 Macro : 0.6990
Training F1 Micro: 0.7893 | Validation F1 Micro : 0.6920
Epoch 24, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2754e-02 | Validation Loss : 2.5753e-02
Training CC : 0.9224 | Validation CC : 0.9100
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4834e-01 | Validation Loss : 6.6372e-01
Training F1 Macro: 0.8294 | Validation F1 Macro : 0.7160
Training F1 Micro: 0.8239 | Validation F1 Micro : 0.7120
Epoch 24, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2723e-02 | Validation Loss : 2.5790e-02
Training CC : 0.9224 | Validation CC : 0.9098
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1404e-01 | Validation Loss : 7.1661e-01
Training F1 Macro: 0.8166 | Validation F1 Macro : 0.6611
Training F1 Micro: 0.8019 | Validation F1 Micro : 0.6540
Epoch 25, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3061e-02 | Validation Loss : 2.5732e-02
Training CC : 0.9220 | Validation CC : 0.9106
** Classification Losses **
Training Loss : 3.0518e-01 | Validation Loss : 6.8744e-01
Training F1 Macro: 0.8599 | Validation F1 Macro : 0.7005
Training F1 Micro: 0.8472 | Validation F1 Micro : 0.6940
Epoch 25, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2385e-02 | Validation Loss : 2.5616e-02
Training CC : 0.9233 | Validation CC : 0.9105
** Classification Losses **
Training Loss : 3.8298e-01 | Validation Loss : 7.4499e-01
Training F1 Macro: 0.8155 | Validation F1 Macro : 0.6592
Training F1 Micro: 0.8053 | Validation F1 Micro : 0.6580
Epoch 25, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2120e-02 | Validation Loss : 2.5567e-02
Training CC : 0.9242 | Validation CC : 0.9110
** Classification Losses **
Training Loss : 4.1748e-01 | Validation Loss : 7.2154e-01
Training F1 Macro: 0.7798 | Validation F1 Macro : 0.6986
Training F1 Micro: 0.7756 | Validation F1 Micro : 0.6940
Epoch 25, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2409e-02 | Validation Loss : 2.5589e-02
Training CC : 0.9237 | Validation CC : 0.9107
** Classification Losses **
Training Loss : 4.0631e-01 | Validation Loss : 7.1697e-01
Training F1 Macro: 0.7817 | Validation F1 Macro : 0.6745
Training F1 Micro: 0.7816 | Validation F1 Micro : 0.6700
Epoch 25, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2253e-02 | Validation Loss : 2.5647e-02
Training CC : 0.9241 | Validation CC : 0.9105
** Classification Losses **
Training Loss : 4.3359e-01 | Validation Loss : 7.0499e-01
Training F1 Macro: 0.7928 | Validation F1 Macro : 0.7013
Training F1 Micro: 0.7802 | Validation F1 Micro : 0.6960
Epoch 1, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0197e-01 | Validation Loss : 2.3149e-01
Training CC : 0.3489 | Validation CC : 0.5917
** Classification Losses **
Training Loss : 1.4605e+00 | Validation Loss : 1.4843e+00
Training F1 Macro: 0.1911 | Validation F1 Macro : 0.1914
Training F1 Micro: 0.2167 | Validation F1 Micro : 0.2060
Epoch 1, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.0277e-01 | Validation Loss : 1.6424e-01
Training CC : 0.6549 | Validation CC : 0.6979
** Classification Losses **
Training Loss : 1.4900e+00 | Validation Loss : 1.4702e+00
Training F1 Macro: 0.1500 | Validation F1 Macro : 0.2054
Training F1 Micro: 0.1657 | Validation F1 Micro : 0.2220
Epoch 1, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.4551e-01 | Validation Loss : 1.1988e-01
Training CC : 0.7304 | Validation CC : 0.7541
** Classification Losses **
Training Loss : 1.4602e+00 | Validation Loss : 1.4715e+00
Training F1 Macro: 0.2057 | Validation F1 Macro : 0.1968
Training F1 Micro: 0.2180 | Validation F1 Micro : 0.2080
Epoch 1, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 1.0722e-01 | Validation Loss : 8.9729e-02
Training CC : 0.7739 | Validation CC : 0.7857
** Classification Losses **
Training Loss : 1.4445e+00 | Validation Loss : 1.4737e+00
Training F1 Macro: 0.2283 | Validation F1 Macro : 0.2234
Training F1 Micro: 0.2279 | Validation F1 Micro : 0.2360
Epoch 1, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 8.1181e-02 | Validation Loss : 6.9472e-02
Training CC : 0.8021 | Validation CC : 0.8107
** Classification Losses **
Training Loss : 1.4491e+00 | Validation Loss : 1.4541e+00
Training F1 Macro: 0.2068 | Validation F1 Macro : 0.2342
Training F1 Micro: 0.2156 | Validation F1 Micro : 0.2480
Epoch 2, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 7.0380e-02 | Validation Loss : 7.2687e-02
Training CC : 0.8125 | Validation CC : 0.7988
** Classification Losses ** <---- Now Optimizing
Training Loss : 1.3271e+00 | Validation Loss : 1.1621e+00
Training F1 Macro: 0.3639 | Validation F1 Macro : 0.5758
Training F1 Micro: 0.3813 | Validation F1 Micro : 0.5940
Epoch 2, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 7.3132e-02 | Validation Loss : 7.4078e-02
Training CC : 0.8021 | Validation CC : 0.7944
** Classification Losses ** <---- Now Optimizing
Training Loss : 1.0255e+00 | Validation Loss : 1.0084e+00
Training F1 Macro: 0.6935 | Validation F1 Macro : 0.6672
Training F1 Micro: 0.6962 | Validation F1 Micro : 0.6740
Epoch 2, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 7.4071e-02 | Validation Loss : 7.4281e-02
Training CC : 0.7997 | Validation CC : 0.7941
** Classification Losses ** <---- Now Optimizing
Training Loss : 8.8319e-01 | Validation Loss : 9.1640e-01
Training F1 Macro: 0.6904 | Validation F1 Macro : 0.6688
Training F1 Micro: 0.6982 | Validation F1 Micro : 0.6800
Epoch 2, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 7.4746e-02 | Validation Loss : 7.5091e-02
Training CC : 0.7979 | Validation CC : 0.7909
** Classification Losses ** <---- Now Optimizing
Training Loss : 7.7825e-01 | Validation Loss : 8.3387e-01
Training F1 Macro: 0.7179 | Validation F1 Macro : 0.6894
Training F1 Micro: 0.7262 | Validation F1 Micro : 0.6960
Epoch 2, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 7.5291e-02 | Validation Loss : 7.5628e-02
Training CC : 0.7950 | Validation CC : 0.7887
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.5337e-01 | Validation Loss : 7.8903e-01
Training F1 Macro: 0.7657 | Validation F1 Macro : 0.7095
Training F1 Micro: 0.7635 | Validation F1 Micro : 0.7120
Epoch 3, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 6.7588e-02 | Validation Loss : 5.7769e-02
Training CC : 0.8110 | Validation CC : 0.8229
** Classification Losses **
Training Loss : 6.0802e-01 | Validation Loss : 7.8866e-01
Training F1 Macro: 0.8111 | Validation F1 Macro : 0.6816
Training F1 Micro: 0.8094 | Validation F1 Micro : 0.6840
Epoch 3, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 5.3393e-02 | Validation Loss : 4.8344e-02
Training CC : 0.8358 | Validation CC : 0.8402
** Classification Losses **
Training Loss : 6.6480e-01 | Validation Loss : 8.2873e-01
Training F1 Macro: 0.7412 | Validation F1 Macro : 0.6540
Training F1 Micro: 0.7526 | Validation F1 Micro : 0.6620
Epoch 3, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 4.5314e-02 | Validation Loss : 4.2263e-02
Training CC : 0.8510 | Validation CC : 0.8539
** Classification Losses **
Training Loss : 7.0259e-01 | Validation Loss : 8.2725e-01
Training F1 Macro: 0.7183 | Validation F1 Macro : 0.6823
Training F1 Micro: 0.7329 | Validation F1 Micro : 0.6860
Epoch 3, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.9825e-02 | Validation Loss : 3.8743e-02
Training CC : 0.8637 | Validation CC : 0.8625
** Classification Losses **
Training Loss : 6.6228e-01 | Validation Loss : 8.1689e-01
Training F1 Macro: 0.7491 | Validation F1 Macro : 0.6818
Training F1 Micro: 0.7564 | Validation F1 Micro : 0.6880
Epoch 3, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.6840e-02 | Validation Loss : 3.6632e-02
Training CC : 0.8710 | Validation CC : 0.8693
** Classification Losses **
Training Loss : 6.7440e-01 | Validation Loss : 8.4142e-01
Training F1 Macro: 0.7661 | Validation F1 Macro : 0.6724
Training F1 Micro: 0.7562 | Validation F1 Micro : 0.6760
Epoch 4, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.5820e-02 | Validation Loss : 3.6824e-02
Training CC : 0.8744 | Validation CC : 0.8684
** Classification Losses ** <---- Now Optimizing
Training Loss : 6.8808e-01 | Validation Loss : 7.3805e-01
Training F1 Macro: 0.7464 | Validation F1 Macro : 0.7388
Training F1 Micro: 0.7413 | Validation F1 Micro : 0.7400
Epoch 4, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.6164e-02 | Validation Loss : 3.8169e-02
Training CC : 0.8725 | Validation CC : 0.8632
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.9779e-01 | Validation Loss : 6.3317e-01
Training F1 Macro: 0.8334 | Validation F1 Macro : 0.7853
Training F1 Micro: 0.8377 | Validation F1 Micro : 0.7880
Epoch 4, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.7831e-02 | Validation Loss : 3.9972e-02
Training CC : 0.8663 | Validation CC : 0.8563
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.0947e-01 | Validation Loss : 6.4918e-01
Training F1 Macro: 0.7709 | Validation F1 Macro : 0.7541
Training F1 Micro: 0.7926 | Validation F1 Micro : 0.7560
Epoch 4, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.9445e-02 | Validation Loss : 4.0841e-02
Training CC : 0.8605 | Validation CC : 0.8529
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.7208e-01 | Validation Loss : 6.3017e-01
Training F1 Macro: 0.8170 | Validation F1 Macro : 0.7388
Training F1 Micro: 0.8211 | Validation F1 Micro : 0.7420
Epoch 4, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.9783e-02 | Validation Loss : 4.0886e-02
Training CC : 0.8588 | Validation CC : 0.8526
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.0036e-01 | Validation Loss : 5.9238e-01
Training F1 Macro: 0.7579 | Validation F1 Macro : 0.7381
Training F1 Micro: 0.7655 | Validation F1 Micro : 0.7440
Epoch 5, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.7908e-02 | Validation Loss : 3.7267e-02
Training CC : 0.8667 | Validation CC : 0.8668
** Classification Losses **
Training Loss : 4.8371e-01 | Validation Loss : 5.7448e-01
Training F1 Macro: 0.7412 | Validation F1 Macro : 0.7501
Training F1 Micro: 0.7555 | Validation F1 Micro : 0.7560
Epoch 5, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.5606e-02 | Validation Loss : 3.5508e-02
Training CC : 0.8762 | Validation CC : 0.8737
** Classification Losses **
Training Loss : 4.1504e-01 | Validation Loss : 5.7683e-01
Training F1 Macro: 0.7829 | Validation F1 Macro : 0.7749
Training F1 Micro: 0.7997 | Validation F1 Micro : 0.7760
Epoch 5, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.4164e-02 | Validation Loss : 3.4250e-02
Training CC : 0.8811 | Validation CC : 0.8784
** Classification Losses **
Training Loss : 5.0010e-01 | Validation Loss : 5.9049e-01
Training F1 Macro: 0.7612 | Validation F1 Macro : 0.7614
Training F1 Micro: 0.7668 | Validation F1 Micro : 0.7680
Epoch 5, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2560e-02 | Validation Loss : 3.3261e-02
Training CC : 0.8862 | Validation CC : 0.8820
** Classification Losses **
Training Loss : 4.6173e-01 | Validation Loss : 6.6362e-01
Training F1 Macro: 0.8019 | Validation F1 Macro : 0.7121
Training F1 Micro: 0.8065 | Validation F1 Micro : 0.7120
Epoch 5, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.1465e-02 | Validation Loss : 3.2422e-02
Training CC : 0.8899 | Validation CC : 0.8852
** Classification Losses **
Training Loss : 4.6650e-01 | Validation Loss : 6.4319e-01
Training F1 Macro: 0.8052 | Validation F1 Macro : 0.7295
Training F1 Micro: 0.8100 | Validation F1 Micro : 0.7300
Epoch 6, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1462e-02 | Validation Loss : 3.2472e-02
Training CC : 0.8907 | Validation CC : 0.8849
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2767e-01 | Validation Loss : 6.0798e-01
Training F1 Macro: 0.8316 | Validation F1 Macro : 0.7443
Training F1 Micro: 0.8215 | Validation F1 Micro : 0.7440
Epoch 6, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1099e-02 | Validation Loss : 3.2759e-02
Training CC : 0.8912 | Validation CC : 0.8838
** Classification Losses ** <---- Now Optimizing
Training Loss : 5.0117e-01 | Validation Loss : 5.2688e-01
Training F1 Macro: 0.7482 | Validation F1 Macro : 0.7836
Training F1 Micro: 0.7511 | Validation F1 Micro : 0.7900
Epoch 6, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.1998e-02 | Validation Loss : 3.3335e-02
Training CC : 0.8890 | Validation CC : 0.8816
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5583e-01 | Validation Loss : 5.7787e-01
Training F1 Macro: 0.8394 | Validation F1 Macro : 0.7407
Training F1 Micro: 0.8390 | Validation F1 Micro : 0.7460
Epoch 6, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.2205e-02 | Validation Loss : 3.4036e-02
Training CC : 0.8873 | Validation CC : 0.8789
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1427e-01 | Validation Loss : 5.4280e-01
Training F1 Macro: 0.7708 | Validation F1 Macro : 0.7920
Training F1 Micro: 0.7637 | Validation F1 Micro : 0.7880
Epoch 6, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 3.3160e-02 | Validation Loss : 3.4356e-02
Training CC : 0.8846 | Validation CC : 0.8777
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3473e-01 | Validation Loss : 5.4040e-01
Training F1 Macro: 0.7957 | Validation F1 Macro : 0.7519
Training F1 Micro: 0.7942 | Validation F1 Micro : 0.7540
Epoch 7, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.2036e-02 | Validation Loss : 3.2585e-02
Training CC : 0.8883 | Validation CC : 0.8852
** Classification Losses **
Training Loss : 3.6082e-01 | Validation Loss : 5.5782e-01
Training F1 Macro: 0.8307 | Validation F1 Macro : 0.7494
Training F1 Micro: 0.8319 | Validation F1 Micro : 0.7460
Epoch 7, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.1094e-02 | Validation Loss : 3.1647e-02
Training CC : 0.8922 | Validation CC : 0.8879
** Classification Losses **
Training Loss : 4.0238e-01 | Validation Loss : 5.8465e-01
Training F1 Macro: 0.7793 | Validation F1 Macro : 0.7430
Training F1 Micro: 0.8168 | Validation F1 Micro : 0.7400
Epoch 7, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 3.0182e-02 | Validation Loss : 3.1152e-02
Training CC : 0.8951 | Validation CC : 0.8899
** Classification Losses **
Training Loss : 4.1159e-01 | Validation Loss : 6.1185e-01
Training F1 Macro: 0.7708 | Validation F1 Macro : 0.6954
Training F1 Micro: 0.7678 | Validation F1 Micro : 0.7000
Epoch 7, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9477e-02 | Validation Loss : 3.0550e-02
Training CC : 0.8975 | Validation CC : 0.8921
** Classification Losses **
Training Loss : 3.5576e-01 | Validation Loss : 5.3233e-01
Training F1 Macro: 0.8142 | Validation F1 Macro : 0.7746
Training F1 Micro: 0.8099 | Validation F1 Micro : 0.7720
Epoch 7, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8813e-02 | Validation Loss : 3.0108e-02
Training CC : 0.8997 | Validation CC : 0.8937
** Classification Losses **
Training Loss : 4.1480e-01 | Validation Loss : 5.5260e-01
Training F1 Macro: 0.7874 | Validation F1 Macro : 0.7648
Training F1 Micro: 0.7830 | Validation F1 Micro : 0.7660
Epoch 8, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8684e-02 | Validation Loss : 3.0178e-02
Training CC : 0.9007 | Validation CC : 0.8934
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.4203e-01 | Validation Loss : 5.8121e-01
Training F1 Macro: 0.7870 | Validation F1 Macro : 0.7375
Training F1 Micro: 0.7914 | Validation F1 Micro : 0.7340
Epoch 8, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8682e-02 | Validation Loss : 3.0420e-02
Training CC : 0.9004 | Validation CC : 0.8925
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4058e-01 | Validation Loss : 5.6976e-01
Training F1 Macro: 0.8524 | Validation F1 Macro : 0.7295
Training F1 Micro: 0.8488 | Validation F1 Micro : 0.7260
Epoch 8, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9323e-02 | Validation Loss : 3.0806e-02
Training CC : 0.8988 | Validation CC : 0.8911
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6079e-01 | Validation Loss : 5.7160e-01
Training F1 Macro: 0.8155 | Validation F1 Macro : 0.7441
Training F1 Micro: 0.8137 | Validation F1 Micro : 0.7440
Epoch 8, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9844e-02 | Validation Loss : 3.1258e-02
Training CC : 0.8973 | Validation CC : 0.8894
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9985e-01 | Validation Loss : 5.3679e-01
Training F1 Macro: 0.7729 | Validation F1 Macro : 0.7537
Training F1 Micro: 0.7711 | Validation F1 Micro : 0.7520
Epoch 8, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.9564e-02 | Validation Loss : 3.1642e-02
Training CC : 0.8970 | Validation CC : 0.8879
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9163e-01 | Validation Loss : 5.7624e-01
Training F1 Macro: 0.7897 | Validation F1 Macro : 0.7406
Training F1 Micro: 0.7872 | Validation F1 Micro : 0.7440
Epoch 9, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9504e-02 | Validation Loss : 3.0367e-02
Training CC : 0.8979 | Validation CC : 0.8935
** Classification Losses **
Training Loss : 3.7180e-01 | Validation Loss : 5.4742e-01
Training F1 Macro: 0.8131 | Validation F1 Macro : 0.7398
Training F1 Micro: 0.8224 | Validation F1 Micro : 0.7400
Epoch 9, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.9137e-02 | Validation Loss : 3.0019e-02
Training CC : 0.9002 | Validation CC : 0.8941
** Classification Losses **
Training Loss : 3.9191e-01 | Validation Loss : 5.8978e-01
Training F1 Macro: 0.7793 | Validation F1 Macro : 0.6987
Training F1 Micro: 0.7928 | Validation F1 Micro : 0.7000
Epoch 9, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8721e-02 | Validation Loss : 2.9345e-02
Training CC : 0.9016 | Validation CC : 0.8966
** Classification Losses **
Training Loss : 3.5451e-01 | Validation Loss : 5.7847e-01
Training F1 Macro: 0.8137 | Validation F1 Macro : 0.7267
Training F1 Micro: 0.8212 | Validation F1 Micro : 0.7280
Epoch 9, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7724e-02 | Validation Loss : 2.9264e-02
Training CC : 0.9043 | Validation CC : 0.8976
** Classification Losses **
Training Loss : 4.2295e-01 | Validation Loss : 5.6698e-01
Training F1 Macro: 0.7636 | Validation F1 Macro : 0.7508
Training F1 Micro: 0.7624 | Validation F1 Micro : 0.7520
Epoch 9, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.8206e-02 | Validation Loss : 2.8750e-02
Training CC : 0.9046 | Validation CC : 0.8988
** Classification Losses **
Training Loss : 3.2027e-01 | Validation Loss : 5.7859e-01
Training F1 Macro: 0.8165 | Validation F1 Macro : 0.7273
Training F1 Micro: 0.8234 | Validation F1 Micro : 0.7280
Epoch 10, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7662e-02 | Validation Loss : 2.8916e-02
Training CC : 0.9055 | Validation CC : 0.8982
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3923e-01 | Validation Loss : 5.9353e-01
Training F1 Macro: 0.7546 | Validation F1 Macro : 0.7376
Training F1 Micro: 0.7538 | Validation F1 Micro : 0.7420
Epoch 10, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7214e-02 | Validation Loss : 2.9195e-02
Training CC : 0.9059 | Validation CC : 0.8971
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8852e-01 | Validation Loss : 5.4495e-01
Training F1 Macro: 0.7866 | Validation F1 Macro : 0.7551
Training F1 Micro: 0.7940 | Validation F1 Micro : 0.7560
Epoch 10, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7493e-02 | Validation Loss : 2.9508e-02
Training CC : 0.9049 | Validation CC : 0.8959
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6255e-01 | Validation Loss : 5.6267e-01
Training F1 Macro: 0.8062 | Validation F1 Macro : 0.7327
Training F1 Micro: 0.8097 | Validation F1 Micro : 0.7340
Epoch 10, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.7683e-02 | Validation Loss : 2.9768e-02
Training CC : 0.9041 | Validation CC : 0.8950
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8248e-01 | Validation Loss : 5.3264e-01
Training F1 Macro: 0.7861 | Validation F1 Macro : 0.7611
Training F1 Micro: 0.7948 | Validation F1 Micro : 0.7600
Epoch 10, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.8193e-02 | Validation Loss : 2.9865e-02
Training CC : 0.9028 | Validation CC : 0.8946
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0151e-01 | Validation Loss : 5.5175e-01
Training F1 Macro: 0.7940 | Validation F1 Macro : 0.7472
Training F1 Micro: 0.7879 | Validation F1 Micro : 0.7500
Epoch 11, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7389e-02 | Validation Loss : 2.9050e-02
Training CC : 0.9051 | Validation CC : 0.8987
** Classification Losses **
Training Loss : 3.8516e-01 | Validation Loss : 5.7303e-01
Training F1 Macro: 0.7931 | Validation F1 Macro : 0.7532
Training F1 Micro: 0.7894 | Validation F1 Micro : 0.7520
Epoch 11, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.7043e-02 | Validation Loss : 2.8315e-02
Training CC : 0.9073 | Validation CC : 0.9004
** Classification Losses **
Training Loss : 3.9230e-01 | Validation Loss : 5.6460e-01
Training F1 Macro: 0.8086 | Validation F1 Macro : 0.7298
Training F1 Micro: 0.8106 | Validation F1 Micro : 0.7320
Epoch 11, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6812e-02 | Validation Loss : 2.8030e-02
Training CC : 0.9086 | Validation CC : 0.9018
** Classification Losses **
Training Loss : 4.3189e-01 | Validation Loss : 5.6792e-01
Training F1 Macro: 0.7778 | Validation F1 Macro : 0.7561
Training F1 Micro: 0.7718 | Validation F1 Micro : 0.7600
Epoch 11, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5760e-02 | Validation Loss : 2.7589e-02
Training CC : 0.9108 | Validation CC : 0.9031
** Classification Losses **
Training Loss : 4.7740e-01 | Validation Loss : 6.3915e-01
Training F1 Macro: 0.7678 | Validation F1 Macro : 0.7086
Training F1 Micro: 0.7679 | Validation F1 Micro : 0.7120
Epoch 11, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6015e-02 | Validation Loss : 2.7269e-02
Training CC : 0.9111 | Validation CC : 0.9043
** Classification Losses **
Training Loss : 4.3375e-01 | Validation Loss : 5.5022e-01
Training F1 Macro: 0.7734 | Validation F1 Macro : 0.7407
Training F1 Micro: 0.7589 | Validation F1 Micro : 0.7420
Epoch 12, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5989e-02 | Validation Loss : 2.7357e-02
Training CC : 0.9115 | Validation CC : 0.9040
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2214e-01 | Validation Loss : 5.4939e-01
Training F1 Macro: 0.8344 | Validation F1 Macro : 0.7521
Training F1 Micro: 0.8325 | Validation F1 Micro : 0.7560
Epoch 12, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5354e-02 | Validation Loss : 2.7564e-02
Training CC : 0.9125 | Validation CC : 0.9032
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.4841e-01 | Validation Loss : 5.7282e-01
Training F1 Macro: 0.8364 | Validation F1 Macro : 0.7486
Training F1 Micro: 0.8393 | Validation F1 Micro : 0.7460
Epoch 12, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.5480e-02 | Validation Loss : 2.7844e-02
Training CC : 0.9120 | Validation CC : 0.9022
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5476e-01 | Validation Loss : 5.8279e-01
Training F1 Macro: 0.7604 | Validation F1 Macro : 0.7339
Training F1 Micro: 0.7595 | Validation F1 Micro : 0.7320
Epoch 12, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6030e-02 | Validation Loss : 2.8130e-02
Training CC : 0.9105 | Validation CC : 0.9011
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6017e-01 | Validation Loss : 5.6276e-01
Training F1 Macro: 0.8350 | Validation F1 Macro : 0.7553
Training F1 Micro: 0.8416 | Validation F1 Micro : 0.7600
Epoch 12, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.6058e-02 | Validation Loss : 2.8377e-02
Training CC : 0.9100 | Validation CC : 0.9002
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.3337e-01 | Validation Loss : 5.7398e-01
Training F1 Macro: 0.7421 | Validation F1 Macro : 0.7417
Training F1 Micro: 0.7357 | Validation F1 Micro : 0.7480
Epoch 13, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.6073e-02 | Validation Loss : 2.7467e-02
Training CC : 0.9105 | Validation CC : 0.9040
** Classification Losses **
Training Loss : 4.1260e-01 | Validation Loss : 5.3413e-01
Training F1 Macro: 0.7774 | Validation F1 Macro : 0.7369
Training F1 Micro: 0.7721 | Validation F1 Micro : 0.7460
Epoch 13, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.5260e-02 | Validation Loss : 2.7054e-02
Training CC : 0.9129 | Validation CC : 0.9052
** Classification Losses **
Training Loss : 3.2516e-01 | Validation Loss : 5.3940e-01
Training F1 Macro: 0.8232 | Validation F1 Macro : 0.7491
Training F1 Micro: 0.8166 | Validation F1 Micro : 0.7560
Epoch 13, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4910e-02 | Validation Loss : 2.6851e-02
Training CC : 0.9141 | Validation CC : 0.9059
** Classification Losses **
Training Loss : 3.4492e-01 | Validation Loss : 6.1759e-01
Training F1 Macro: 0.8049 | Validation F1 Macro : 0.7021
Training F1 Micro: 0.8028 | Validation F1 Micro : 0.7040
Epoch 13, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4723e-02 | Validation Loss : 2.6553e-02
Training CC : 0.9151 | Validation CC : 0.9072
** Classification Losses **
Training Loss : 4.3373e-01 | Validation Loss : 5.9575e-01
Training F1 Macro: 0.7926 | Validation F1 Macro : 0.7307
Training F1 Micro: 0.7905 | Validation F1 Micro : 0.7320
Epoch 13, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4457e-02 | Validation Loss : 2.6266e-02
Training CC : 0.9160 | Validation CC : 0.9081
** Classification Losses **
Training Loss : 3.6132e-01 | Validation Loss : 6.5195e-01
Training F1 Macro: 0.8150 | Validation F1 Macro : 0.7049
Training F1 Micro: 0.8054 | Validation F1 Micro : 0.7080
Epoch 14, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4087e-02 | Validation Loss : 2.6354e-02
Training CC : 0.9170 | Validation CC : 0.9078
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1288e-01 | Validation Loss : 5.7492e-01
Training F1 Macro: 0.7663 | Validation F1 Macro : 0.7515
Training F1 Micro: 0.7758 | Validation F1 Micro : 0.7480
Epoch 14, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4281e-02 | Validation Loss : 2.6580e-02
Training CC : 0.9164 | Validation CC : 0.9069
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.9865e-01 | Validation Loss : 5.9898e-01
Training F1 Macro: 0.7232 | Validation F1 Macro : 0.7165
Training F1 Micro: 0.7167 | Validation F1 Micro : 0.7240
Epoch 14, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4667e-02 | Validation Loss : 2.6841e-02
Training CC : 0.9153 | Validation CC : 0.9059
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8320e-01 | Validation Loss : 5.9755e-01
Training F1 Macro: 0.7719 | Validation F1 Macro : 0.7258
Training F1 Micro: 0.7854 | Validation F1 Micro : 0.7300
Epoch 14, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4651e-02 | Validation Loss : 2.7134e-02
Training CC : 0.9150 | Validation CC : 0.9048
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.5236e-01 | Validation Loss : 5.8327e-01
Training F1 Macro: 0.7488 | Validation F1 Macro : 0.7195
Training F1 Micro: 0.7541 | Validation F1 Micro : 0.7200
Epoch 14, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4943e-02 | Validation Loss : 2.7282e-02
Training CC : 0.9140 | Validation CC : 0.9042
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2296e-01 | Validation Loss : 5.9588e-01
Training F1 Macro: 0.8156 | Validation F1 Macro : 0.7252
Training F1 Micro: 0.8176 | Validation F1 Micro : 0.7220
Epoch 15, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4853e-02 | Validation Loss : 2.6615e-02
Training CC : 0.9146 | Validation CC : 0.9069
** Classification Losses **
Training Loss : 3.7739e-01 | Validation Loss : 6.0207e-01
Training F1 Macro: 0.7903 | Validation F1 Macro : 0.7373
Training F1 Micro: 0.7850 | Validation F1 Micro : 0.7400
Epoch 15, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4511e-02 | Validation Loss : 2.6230e-02
Training CC : 0.9162 | Validation CC : 0.9082
** Classification Losses **
Training Loss : 3.7205e-01 | Validation Loss : 5.7920e-01
Training F1 Macro: 0.7944 | Validation F1 Macro : 0.7345
Training F1 Micro: 0.7964 | Validation F1 Micro : 0.7340
Epoch 15, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.4118e-02 | Validation Loss : 2.6121e-02
Training CC : 0.9174 | Validation CC : 0.9087
** Classification Losses **
Training Loss : 4.2255e-01 | Validation Loss : 6.0762e-01
Training F1 Macro: 0.7710 | Validation F1 Macro : 0.7177
Training F1 Micro: 0.7640 | Validation F1 Micro : 0.7240
Epoch 15, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3849e-02 | Validation Loss : 2.5984e-02
Training CC : 0.9182 | Validation CC : 0.9093
** Classification Losses **
Training Loss : 3.2580e-01 | Validation Loss : 5.8944e-01
Training F1 Macro: 0.8118 | Validation F1 Macro : 0.7086
Training F1 Micro: 0.8348 | Validation F1 Micro : 0.7140
Epoch 15, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3572e-02 | Validation Loss : 2.5803e-02
Training CC : 0.9189 | Validation CC : 0.9099
** Classification Losses **
Training Loss : 3.5069e-01 | Validation Loss : 5.8212e-01
Training F1 Macro: 0.7943 | Validation F1 Macro : 0.7342
Training F1 Micro: 0.7981 | Validation F1 Micro : 0.7420
Epoch 16, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3613e-02 | Validation Loss : 2.5850e-02
Training CC : 0.9191 | Validation CC : 0.9097
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2581e-01 | Validation Loss : 5.6958e-01
Training F1 Macro: 0.7686 | Validation F1 Macro : 0.7466
Training F1 Micro: 0.7764 | Validation F1 Micro : 0.7480
Epoch 16, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3748e-02 | Validation Loss : 2.5979e-02
Training CC : 0.9187 | Validation CC : 0.9092
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5397e-01 | Validation Loss : 5.8500e-01
Training F1 Macro: 0.8246 | Validation F1 Macro : 0.7383
Training F1 Micro: 0.8221 | Validation F1 Micro : 0.7380
Epoch 16, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3640e-02 | Validation Loss : 2.6102e-02
Training CC : 0.9187 | Validation CC : 0.9087
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5209e-01 | Validation Loss : 5.3993e-01
Training F1 Macro: 0.8365 | Validation F1 Macro : 0.7562
Training F1 Micro: 0.8282 | Validation F1 Micro : 0.7500
Epoch 16, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3654e-02 | Validation Loss : 2.6204e-02
Training CC : 0.9185 | Validation CC : 0.9083
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.2306e-01 | Validation Loss : 5.9012e-01
Training F1 Macro: 0.8290 | Validation F1 Macro : 0.7462
Training F1 Micro: 0.8217 | Validation F1 Micro : 0.7360
Epoch 16, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3984e-02 | Validation Loss : 2.6330e-02
Training CC : 0.9177 | Validation CC : 0.9078
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7217e-01 | Validation Loss : 5.5883e-01
Training F1 Macro: 0.7996 | Validation F1 Macro : 0.7526
Training F1 Micro: 0.7946 | Validation F1 Micro : 0.7560
Epoch 17, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3664e-02 | Validation Loss : 2.5872e-02
Training CC : 0.9186 | Validation CC : 0.9095
** Classification Losses **
Training Loss : 4.1892e-01 | Validation Loss : 5.6008e-01
Training F1 Macro: 0.7996 | Validation F1 Macro : 0.7399
Training F1 Micro: 0.7995 | Validation F1 Micro : 0.7400
Epoch 17, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3579e-02 | Validation Loss : 2.5746e-02
Training CC : 0.9194 | Validation CC : 0.9103
** Classification Losses **
Training Loss : 3.8706e-01 | Validation Loss : 5.6554e-01
Training F1 Macro: 0.7938 | Validation F1 Macro : 0.7530
Training F1 Micro: 0.7904 | Validation F1 Micro : 0.7560
Epoch 17, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3274e-02 | Validation Loss : 2.5757e-02
Training CC : 0.9203 | Validation CC : 0.9099
** Classification Losses **
Training Loss : 3.8919e-01 | Validation Loss : 6.1677e-01
Training F1 Macro: 0.7979 | Validation F1 Macro : 0.7204
Training F1 Micro: 0.8018 | Validation F1 Micro : 0.7220
Epoch 17, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3720e-02 | Validation Loss : 2.5585e-02
Training CC : 0.9196 | Validation CC : 0.9107
** Classification Losses **
Training Loss : 3.5886e-01 | Validation Loss : 5.9146e-01
Training F1 Macro: 0.8076 | Validation F1 Macro : 0.7309
Training F1 Micro: 0.8005 | Validation F1 Micro : 0.7340
Epoch 17, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3193e-02 | Validation Loss : 2.5262e-02
Training CC : 0.9208 | Validation CC : 0.9118
** Classification Losses **
Training Loss : 4.2617e-01 | Validation Loss : 6.1443e-01
Training F1 Macro: 0.7662 | Validation F1 Macro : 0.7182
Training F1 Micro: 0.7765 | Validation F1 Micro : 0.7140
Epoch 18, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2644e-02 | Validation Loss : 2.5364e-02
Training CC : 0.9221 | Validation CC : 0.9114
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.0901e-01 | Validation Loss : 5.9489e-01
Training F1 Macro: 0.8669 | Validation F1 Macro : 0.7396
Training F1 Micro: 0.8633 | Validation F1 Micro : 0.7420
Epoch 18, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2811e-02 | Validation Loss : 2.5575e-02
Training CC : 0.9217 | Validation CC : 0.9106
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0685e-01 | Validation Loss : 5.7805e-01
Training F1 Macro: 0.7838 | Validation F1 Macro : 0.7359
Training F1 Micro: 0.7867 | Validation F1 Micro : 0.7380
Epoch 18, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2928e-02 | Validation Loss : 2.5910e-02
Training CC : 0.9211 | Validation CC : 0.9093
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0947e-01 | Validation Loss : 5.9880e-01
Training F1 Macro: 0.7655 | Validation F1 Macro : 0.7152
Training F1 Micro: 0.7587 | Validation F1 Micro : 0.7180
Epoch 18, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.3467e-02 | Validation Loss : 2.6437e-02
Training CC : 0.9195 | Validation CC : 0.9074
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1168e-01 | Validation Loss : 5.8386e-01
Training F1 Macro: 0.7726 | Validation F1 Macro : 0.7352
Training F1 Micro: 0.7732 | Validation F1 Micro : 0.7380
Epoch 18, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.4003e-02 | Validation Loss : 2.6869e-02
Training CC : 0.9175 | Validation CC : 0.9057
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3369e-01 | Validation Loss : 5.8088e-01
Training F1 Macro: 0.8248 | Validation F1 Macro : 0.7394
Training F1 Micro: 0.8259 | Validation F1 Micro : 0.7440
Epoch 19, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3565e-02 | Validation Loss : 2.5969e-02
Training CC : 0.9190 | Validation CC : 0.9096
** Classification Losses **
Training Loss : 4.7856e-01 | Validation Loss : 5.5479e-01
Training F1 Macro: 0.7504 | Validation F1 Macro : 0.7659
Training F1 Micro: 0.7549 | Validation F1 Micro : 0.7640
Epoch 19, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3875e-02 | Validation Loss : 2.6010e-02
Training CC : 0.9196 | Validation CC : 0.9096
** Classification Losses **
Training Loss : 4.4531e-01 | Validation Loss : 5.9607e-01
Training F1 Macro: 0.7422 | Validation F1 Macro : 0.7369
Training F1 Micro: 0.7695 | Validation F1 Micro : 0.7380
Epoch 19, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3655e-02 | Validation Loss : 2.5316e-02
Training CC : 0.9201 | Validation CC : 0.9116
** Classification Losses **
Training Loss : 4.1881e-01 | Validation Loss : 6.2135e-01
Training F1 Macro: 0.7593 | Validation F1 Macro : 0.7008
Training F1 Micro: 0.7664 | Validation F1 Micro : 0.7040
Epoch 19, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2818e-02 | Validation Loss : 2.5226e-02
Training CC : 0.9220 | Validation CC : 0.9121
** Classification Losses **
Training Loss : 4.2854e-01 | Validation Loss : 5.5254e-01
Training F1 Macro: 0.7875 | Validation F1 Macro : 0.7561
Training F1 Micro: 0.7902 | Validation F1 Micro : 0.7580
Epoch 19, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2424e-02 | Validation Loss : 2.5003e-02
Training CC : 0.9231 | Validation CC : 0.9127
** Classification Losses **
Training Loss : 3.9152e-01 | Validation Loss : 6.1602e-01
Training F1 Macro: 0.7799 | Validation F1 Macro : 0.7036
Training F1 Micro: 0.7818 | Validation F1 Micro : 0.7080
Epoch 20, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2311e-02 | Validation Loss : 2.5099e-02
Training CC : 0.9235 | Validation CC : 0.9124
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9169e-01 | Validation Loss : 6.0477e-01
Training F1 Macro: 0.7948 | Validation F1 Macro : 0.7280
Training F1 Micro: 0.7956 | Validation F1 Micro : 0.7320
Epoch 20, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2334e-02 | Validation Loss : 2.5213e-02
Training CC : 0.9233 | Validation CC : 0.9120
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0285e-01 | Validation Loss : 6.3698e-01
Training F1 Macro: 0.7737 | Validation F1 Macro : 0.6868
Training F1 Micro: 0.7862 | Validation F1 Micro : 0.6900
Epoch 20, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2598e-02 | Validation Loss : 2.5340e-02
Training CC : 0.9226 | Validation CC : 0.9115
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.9110e-01 | Validation Loss : 5.5746e-01
Training F1 Macro: 0.7975 | Validation F1 Macro : 0.7283
Training F1 Micro: 0.8000 | Validation F1 Micro : 0.7300
Epoch 20, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2841e-02 | Validation Loss : 2.5441e-02
Training CC : 0.9219 | Validation CC : 0.9111
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.5420e-01 | Validation Loss : 5.6262e-01
Training F1 Macro: 0.8187 | Validation F1 Macro : 0.7247
Training F1 Micro: 0.8175 | Validation F1 Micro : 0.7320
Epoch 20, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2634e-02 | Validation Loss : 2.5474e-02
Training CC : 0.9222 | Validation CC : 0.9110
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.7546e-01 | Validation Loss : 5.8279e-01
Training F1 Macro: 0.7743 | Validation F1 Macro : 0.7118
Training F1 Micro: 0.7712 | Validation F1 Micro : 0.7160
Epoch 21, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2914e-02 | Validation Loss : 2.5272e-02
Training CC : 0.9219 | Validation CC : 0.9117
** Classification Losses **
Training Loss : 3.2307e-01 | Validation Loss : 5.8925e-01
Training F1 Macro: 0.8328 | Validation F1 Macro : 0.7242
Training F1 Micro: 0.8364 | Validation F1 Micro : 0.7260
Epoch 21, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2296e-02 | Validation Loss : 2.5089e-02
Training CC : 0.9235 | Validation CC : 0.9125
** Classification Losses **
Training Loss : 3.4980e-01 | Validation Loss : 6.5725e-01
Training F1 Macro: 0.8176 | Validation F1 Macro : 0.6686
Training F1 Micro: 0.8278 | Validation F1 Micro : 0.6720
Epoch 21, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2895e-02 | Validation Loss : 2.4877e-02
Training CC : 0.9228 | Validation CC : 0.9133
** Classification Losses **
Training Loss : 3.3494e-01 | Validation Loss : 6.6410e-01
Training F1 Macro: 0.7934 | Validation F1 Macro : 0.6833
Training F1 Micro: 0.8029 | Validation F1 Micro : 0.6820
Epoch 21, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1946e-02 | Validation Loss : 2.4871e-02
Training CC : 0.9247 | Validation CC : 0.9134
** Classification Losses **
Training Loss : 3.4303e-01 | Validation Loss : 5.9066e-01
Training F1 Macro: 0.8213 | Validation F1 Macro : 0.7236
Training F1 Micro: 0.8290 | Validation F1 Micro : 0.7280
Epoch 21, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2240e-02 | Validation Loss : 2.5013e-02
Training CC : 0.9245 | Validation CC : 0.9130
** Classification Losses **
Training Loss : 4.0452e-01 | Validation Loss : 5.6541e-01
Training F1 Macro: 0.7742 | Validation F1 Macro : 0.7399
Training F1 Micro: 0.7915 | Validation F1 Micro : 0.7440
Epoch 22, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1967e-02 | Validation Loss : 2.5087e-02
Training CC : 0.9247 | Validation CC : 0.9127
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1840e-01 | Validation Loss : 6.4048e-01
Training F1 Macro: 0.7929 | Validation F1 Macro : 0.7100
Training F1 Micro: 0.7910 | Validation F1 Micro : 0.7100
Epoch 22, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.1935e-02 | Validation Loss : 2.5163e-02
Training CC : 0.9246 | Validation CC : 0.9124
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6778e-01 | Validation Loss : 6.3753e-01
Training F1 Macro: 0.8268 | Validation F1 Macro : 0.6820
Training F1 Micro: 0.8257 | Validation F1 Micro : 0.6940
Epoch 22, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2107e-02 | Validation Loss : 2.5249e-02
Training CC : 0.9242 | Validation CC : 0.9121
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.7901e-01 | Validation Loss : 6.1646e-01
Training F1 Macro: 0.7844 | Validation F1 Macro : 0.7042
Training F1 Micro: 0.7881 | Validation F1 Micro : 0.6980
Epoch 22, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2553e-02 | Validation Loss : 2.5416e-02
Training CC : 0.9232 | Validation CC : 0.9114
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.3607e-01 | Validation Loss : 5.7763e-01
Training F1 Macro: 0.8420 | Validation F1 Macro : 0.7309
Training F1 Micro: 0.8319 | Validation F1 Micro : 0.7240
Epoch 22, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2406e-02 | Validation Loss : 2.5654e-02
Training CC : 0.9231 | Validation CC : 0.9105
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.1586e-01 | Validation Loss : 5.9739e-01
Training F1 Macro: 0.8552 | Validation F1 Macro : 0.7162
Training F1 Micro: 0.8444 | Validation F1 Micro : 0.7080
Epoch 23, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2377e-02 | Validation Loss : 2.5133e-02
Training CC : 0.9234 | Validation CC : 0.9124
** Classification Losses **
Training Loss : 4.0771e-01 | Validation Loss : 5.8509e-01
Training F1 Macro: 0.8009 | Validation F1 Macro : 0.7322
Training F1 Micro: 0.7929 | Validation F1 Micro : 0.7240
Epoch 23, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2212e-02 | Validation Loss : 2.4984e-02
Training CC : 0.9243 | Validation CC : 0.9132
** Classification Losses **
Training Loss : 3.8192e-01 | Validation Loss : 6.2512e-01
Training F1 Macro: 0.8153 | Validation F1 Macro : 0.7167
Training F1 Micro: 0.8067 | Validation F1 Micro : 0.7120
Epoch 23, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1892e-02 | Validation Loss : 2.4682e-02
Training CC : 0.9252 | Validation CC : 0.9139
** Classification Losses **
Training Loss : 3.3353e-01 | Validation Loss : 5.9043e-01
Training F1 Macro: 0.8218 | Validation F1 Macro : 0.7290
Training F1 Micro: 0.8309 | Validation F1 Micro : 0.7200
Epoch 23, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.3166e-02 | Validation Loss : 2.5073e-02
Training CC : 0.9232 | Validation CC : 0.9124
** Classification Losses **
Training Loss : 3.6060e-01 | Validation Loss : 5.7179e-01
Training F1 Macro: 0.8320 | Validation F1 Macro : 0.7448
Training F1 Micro: 0.8298 | Validation F1 Micro : 0.7360
Epoch 23, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2762e-02 | Validation Loss : 2.5596e-02
Training CC : 0.9235 | Validation CC : 0.9114
** Classification Losses **
Training Loss : 3.8539e-01 | Validation Loss : 6.3338e-01
Training F1 Macro: 0.8018 | Validation F1 Macro : 0.7057
Training F1 Micro: 0.8036 | Validation F1 Micro : 0.7040
Epoch 24, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2463e-02 | Validation Loss : 2.5605e-02
Training CC : 0.9232 | Validation CC : 0.9113
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.2555e-01 | Validation Loss : 6.2639e-01
Training F1 Macro: 0.7901 | Validation F1 Macro : 0.7127
Training F1 Micro: 0.7789 | Validation F1 Micro : 0.7060
Epoch 24, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2465e-02 | Validation Loss : 2.5677e-02
Training CC : 0.9232 | Validation CC : 0.9110
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.8771e-01 | Validation Loss : 5.9812e-01
Training F1 Macro: 0.8100 | Validation F1 Macro : 0.7108
Training F1 Micro: 0.7974 | Validation F1 Micro : 0.7020
Epoch 24, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2506e-02 | Validation Loss : 2.5757e-02
Training CC : 0.9230 | Validation CC : 0.9106
** Classification Losses ** <---- Now Optimizing
Training Loss : 3.6696e-01 | Validation Loss : 6.4113e-01
Training F1 Macro: 0.7950 | Validation F1 Macro : 0.7077
Training F1 Micro: 0.7935 | Validation F1 Micro : 0.7000
Epoch 24, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2631e-02 | Validation Loss : 2.5856e-02
Training CC : 0.9226 | Validation CC : 0.9102
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.0021e-01 | Validation Loss : 6.3366e-01
Training F1 Macro: 0.8167 | Validation F1 Macro : 0.7177
Training F1 Micro: 0.8101 | Validation F1 Micro : 0.7120
Epoch 24, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses **
Training Loss : 2.2723e-02 | Validation Loss : 2.5916e-02
Training CC : 0.9223 | Validation CC : 0.9099
** Classification Losses ** <---- Now Optimizing
Training Loss : 4.1395e-01 | Validation Loss : 6.5980e-01
Training F1 Macro: 0.7914 | Validation F1 Macro : 0.6846
Training F1 Micro: 0.7793 | Validation F1 Micro : 0.6760
Epoch 25, of 25 >-*-< Mini Epoch 1 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2519e-02 | Validation Loss : 2.5346e-02
Training CC : 0.9232 | Validation CC : 0.9118
** Classification Losses **
Training Loss : 4.3537e-01 | Validation Loss : 5.8877e-01
Training F1 Macro: 0.7633 | Validation F1 Macro : 0.7264
Training F1 Micro: 0.7626 | Validation F1 Micro : 0.7180
Epoch 25, of 25 >-*-< Mini Epoch 2 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.2200e-02 | Validation Loss : 2.5005e-02
Training CC : 0.9243 | Validation CC : 0.9128
** Classification Losses **
Training Loss : 3.7159e-01 | Validation Loss : 6.0019e-01
Training F1 Macro: 0.8473 | Validation F1 Macro : 0.7259
Training F1 Micro: 0.8380 | Validation F1 Micro : 0.7240
Epoch 25, of 25 >-*-< Mini Epoch 3 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1534e-02 | Validation Loss : 2.4663e-02
Training CC : 0.9262 | Validation CC : 0.9139
** Classification Losses **
Training Loss : 3.4443e-01 | Validation Loss : 6.3834e-01
Training F1 Macro: 0.8323 | Validation F1 Macro : 0.7071
Training F1 Micro: 0.8182 | Validation F1 Micro : 0.7060
Epoch 25, of 25 >-*-< Mini Epoch 4 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1617e-02 | Validation Loss : 2.4612e-02
Training CC : 0.9265 | Validation CC : 0.9144
** Classification Losses **
Training Loss : 4.1844e-01 | Validation Loss : 6.9838e-01
Training F1 Macro: 0.7962 | Validation F1 Macro : 0.6840
Training F1 Micro: 0.7883 | Validation F1 Micro : 0.6780
Epoch 25, of 25 >-*-< Mini Epoch 5 of 5 >-*-< Learning rate 1.000e-03
** Autoencoding Losses ** <---- Now Optimizing
Training Loss : 2.1830e-02 | Validation Loss : 2.4502e-02
Training CC : 0.9264 | Validation CC : 0.9147
** Classification Losses **
Training Loss : 4.5044e-01 | Validation Loss : 6.1236e-01
Training F1 Macro: 0.7603 | Validation F1 Macro : 0.7162
Training F1 Micro: 0.7709 | Validation F1 Micro : 0.7140
We pass over the test data again and collect stuff so we can inspect what is happening.
[7]:
bagged_model = baggins.autoencoder_labeling_model_baggin(autoencoders)
[8]:
import tqdm
results = []
pres = []
sresults = []
spres = []
latent = []
true_lbl = []
inp_img = []
for batch in tqdm.tqdm(test_loader):
true_lbl.append(batch[1])
with torch.no_grad():
inp_img.append(batch[0].cpu())
res, sres, ps, sps = bagged_model(batch[0], "cuda:0", True)
results.append(res.cpu())
pres.append(ps.cpu())
sresults.append(sres.cpu())
spres.append(sps.cpu())
results = torch.cat(results, dim=0)
pres = torch.cat(pres,dim=0)
sresults = torch.cat(sresults, dim=0)
spres = torch.cat(spres,dim=0)
true_lbl = torch.cat(true_lbl, dim=0)
inp_img = torch.cat(inp_img, dim=0)
100%|██████████| 5/5 [00:06<00:00, 1.38s/it]
Lets have a look and see what we get
[9]:
Macro_F1, Micro_F1 = train_scripts.segmentation_metrics(pres, true_lbl[:,0].type(torch.LongTensor))
print(f"Macro F1 on Test Data {Macro_F1: 6.5f}")
print(f"Micro F1 on Test Data {Micro_F1: 6.5f}")
Macro F1 on Test Data 0.92600
Micro F1 on Test Data 0.92454
As you can see, we get a decent F1 score out of these bagged classifiers. Let have a looks at the denoised images out of the autoencoder.
[10]:
count = 0
print("-------- The first 10 images encountered ----------")
for img, simg, p, sp, tlbl, ori in zip(results, sresults, pres, spres, true_lbl, inp_img):
if count < 10:
fig = paic.plot_autoencoder_and_label_results_with_std(
input_img=ori[0].numpy(),
output_img=img[0].numpy(),
std_img=simg[0].numpy(),
p_classification=p.numpy(),
std_p_classification=sp.numpy(),
class_names=["Rect.","Disc","Tri.","Donut"])
plt.show()
count += 1
print("-------- Incorrectly labeled images (10 max) ----------")
count = 0
for img, simg, p, sp, tlbl, ori in zip(results, sresults, pres, spres, true_lbl, inp_img):
ilbl = np.argmax(p.numpy())
if int(tlbl) != int(ilbl):
fig = paic.plot_autoencoder_and_label_results_with_std(
input_img=ori[0].numpy(),
output_img=img[0].numpy(),
std_img=simg[0].numpy(),
p_classification=p.numpy(),
std_p_classification=sp.numpy(),
class_names=["Rect.","Disc","Tri.","Donut"])
plt.show()
count += 1
if count > 10:
break
-------- The first 10 images encountered ----------
-------- Incorrectly labeled images (10 max) ----------
[ ]: