test_results

# Bu versiyonda data'lar normalize edildi.
# Test 1
# test acc: 0.6499999761581421
# val acc: 0.85
# f1_score: 0.40634918212890625
# Test 2
# test loss: 0.6453564763069153
# test acc: 0.6000000238418579
# val acc: 0.80
# f1_score: 0.40634918212890625
# Test 3
# test loss: 0.5947984457015991
# test acc: 0.6499999761581421
# val acc: 0.85
# f1_score: 0.40634918212890625
# Test 4
# test loss: 0.6092665791511536
# test acc: 0.6499999761581421
# val acc: 0.80
# f1_score: 0.40634918212890625
# Test 5
# test loss: 0.6382042765617371
# test acc: 0.6000000238418579
# val_accuracy: 0.85006499999761581421
# f1_score: 0.40634918212890625
# Test 6
# test loss: 0.6226722002029419
# test acc: 0.6000000238418579
# val_accuracy: 0.7000 
# f1_score: 0.40634918212890625
# Test 7
# test loss: 0.6315239667892456
# test acc: 0.6000000238418579
# f1_score: 0.3809523582458496
# Test 8
# test loss: 0.6060425639152527
# test acc: 0.6499999761581421
# f1_score: 0.40634918212890625
# Test 9
# test loss: 0.5853712558746338
# test acc: 0.6499999761581421
# f1_score: 0.40634918212890625
# Test 10
# test loss: 0.6328868269920349
# test acc: 0.6499999761581421
# f1_score: 0.40634918212890625