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50EpochModel.txt
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(env) D:\musta\Github Projects\NeuralBases>python src/neuralnet/train.py
Epoch 1/50:
Train Loss: 0.3313
Val Loss: 0.2777, Val Accuracy: 0.8836
Epoch 2/50:
Train Loss: 0.2687
Val Loss: 0.2542, Val Accuracy: 0.8952
Epoch 3/50:
Train Loss: 0.2443
Val Loss: 0.2378, Val Accuracy: 0.9047
Epoch 4/50:
Train Loss: 0.2278
Val Loss: 0.2344, Val Accuracy: 0.9061
Epoch 5/50:
Train Loss: 0.2171
Val Loss: 0.2256, Val Accuracy: 0.9094
Epoch 6/50:
Train Loss: 0.2081
Val Loss: 0.2256, Val Accuracy: 0.9104
Epoch 7/50:
Train Loss: 0.2004
Val Loss: 0.2236, Val Accuracy: 0.9111
Epoch 8/50:
Train Loss: 0.1937
Val Loss: 0.2215, Val Accuracy: 0.9126
Epoch 9/50:
Train Loss: 0.1877
Val Loss: 0.2202, Val Accuracy: 0.9140
Epoch 10/50:
Train Loss: 0.1821
Val Loss: 0.2277, Val Accuracy: 0.9111
Epoch 11/50:
Train Loss: 0.1768
Val Loss: 0.2360, Val Accuracy: 0.9093
Epoch 12/50:
Train Loss: 0.1720
Val Loss: 0.2272, Val Accuracy: 0.9121
Epoch 13/50:
Train Loss: 0.1675
Val Loss: 0.2389, Val Accuracy: 0.9109
Epoch 14/50:
Train Loss: 0.1630
Val Loss: 0.2426, Val Accuracy: 0.9089
Epoch 15/50:
Train Loss: 0.1589
Val Loss: 0.2430, Val Accuracy: 0.9094
Epoch 16/50:
Train Loss: 0.1545
Val Loss: 0.2495, Val Accuracy: 0.9087
Epoch 17/50:
Train Loss: 0.1506
Val Loss: 0.2581, Val Accuracy: 0.9069
Epoch 18/50:
Train Loss: 0.1466
Val Loss: 0.2559, Val Accuracy: 0.9098
Epoch 19/50:
Train Loss: 0.1430
Val Loss: 0.2727, Val Accuracy: 0.9060
Epoch 20/50:
Train Loss: 0.1399
Val Loss: 0.2783, Val Accuracy: 0.9053
Epoch 21/50:
Train Loss: 0.1363
Val Loss: 0.2823, Val Accuracy: 0.9048
Epoch 22/50:
Train Loss: 0.1341
Val Loss: 0.2974, Val Accuracy: 0.9074
Epoch 23/50:
Train Loss: 0.1312
Val Loss: 0.3007, Val Accuracy: 0.9061
Epoch 24/50:
Train Loss: 0.1281
Val Loss: 0.3003, Val Accuracy: 0.9080
Epoch 25/50:
Train Loss: 0.1263
Val Loss: 0.2830, Val Accuracy: 0.9051
Epoch 26/50:
Train Loss: 0.1222
Val Loss: 0.3097, Val Accuracy: 0.9065
Epoch 27/50:
Train Loss: 0.1207
Val Loss: 0.3053, Val Accuracy: 0.9054
Epoch 28/50:
Train Loss: 0.1181
Val Loss: 0.3138, Val Accuracy: 0.9048
Epoch 29/50:
Train Loss: 0.1160
Val Loss: 0.3448, Val Accuracy: 0.9043
Epoch 30/50:
Train Loss: 0.1154
Val Loss: 0.3106, Val Accuracy: 0.9044
Epoch 31/50:
Train Loss: 0.1118
Val Loss: 0.3259, Val Accuracy: 0.9041
Epoch 32/50:
Train Loss: 0.1098
Val Loss: 0.3580, Val Accuracy: 0.9042
Epoch 33/50:
Train Loss: 0.1078
Val Loss: 0.3693, Val Accuracy: 0.9005
Epoch 34/50:
Train Loss: 0.1054
Val Loss: 0.3740, Val Accuracy: 0.9026
Epoch 35/50:
Train Loss: 0.1057
Val Loss: 0.3690, Val Accuracy: 0.9012
Epoch 36/50:
Train Loss: 0.1030
Val Loss: 0.3816, Val Accuracy: 0.9019
Epoch 37/50:
Train Loss: 0.1024
Val Loss: 0.3784, Val Accuracy: 0.9025
Epoch 38/50:
Train Loss: 0.1001
Val Loss: 0.4025, Val Accuracy: 0.9033
Epoch 39/50:
Train Loss: 0.0992
Val Loss: 0.4044, Val Accuracy: 0.9030
Epoch 40/50:
Train Loss: 0.0974
Val Loss: 0.4032, Val Accuracy: 0.9023
Epoch 41/50:
Train Loss: 0.0962
Val Loss: 0.4255, Val Accuracy: 0.9036
Epoch 42/50:
Train Loss: 0.0951
Val Loss: 0.4058, Val Accuracy: 0.9032
Epoch 43/50:
Train Loss: 0.0939
Val Loss: 0.4679, Val Accuracy: 0.9008
Epoch 44/50:
Train Loss: 0.0929
Val Loss: 0.4388, Val Accuracy: 0.9024
Epoch 45/50:
Train Loss: 0.0926
Val Loss: 0.4277, Val Accuracy: 0.8995
Epoch 46/50:
Train Loss: 0.0901
Val Loss: 0.4543, Val Accuracy: 0.9009
Epoch 47/50:
Train Loss: 0.0892
Val Loss: 0.4912, Val Accuracy: 0.8997
Epoch 48/50:
Train Loss: 0.0881
Val Loss: 0.4678, Val Accuracy: 0.9011
Epoch 49/50:
Train Loss: 0.0892
Val Loss: 0.4887, Val Accuracy: 0.8975
Epoch 50/50:
Train Loss: 0.0875
Val Loss: 0.5186, Val Accuracy: 0.9004