loss = 0
data = np.random.random((2000, 200))
batch_size = 32

for epoch in range(10):
    loop = tqdm(range(len(data) // batch_size))
    for batch in loop:
        loss += 0.001
        sleep(0.03)
        loop.set_description('Epoch {}'.format(epoch + 1))
        loop.set_postfix(loss=round(loss, 2))