Why do I always get the same value as the result in a CNN in pytorch?

Question

Here is my code

dataset = pd.read_csv(\'augmented_data.csv\')
dataset = dataset.sample(frac=1)

class ConvNet(nn.Module):
def __init__(self):
    super(ConvNet, s