model.eval()
targets = []
preds = []
indices = np.arange(len(test_dataset))
for i in tqdm(range(0, len(test_dataset), batch_size)):
    fields, target = acc_batch(test_dataset, i, batch_size, indices)
    fields, target = fields.to(device), target.to(device)
    y = model(fields).cpu().data.numpy()
    for _y in y:
        preds.append(_y)
    t = target.cpu().data.numpy()
    for _t in t:
        targets.append(_t)