Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
self.text_transform(self.labels[index].rstrip("\n")) def text_transform(self, x): return torch.tensor([self.sos_idx] + [ord(z)-97+3 for z in x] + [self.eos_idx]) We will now define training and evaluation steps : PAD_IDX = 0 SOS_IDX = 1 EOS_IDX = 2 def train(model, optimizer, loader, loss_fn,