# Set device device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import Dataset, DataLoader build a large language model from scratch pdf
# Train the model def train(model, device, loader, optimizer, criterion): model.train() total_loss = 0 for batch in loader: input_seq = batch['input'].to(device) output_seq = batch['output'].to(device) optimizer.zero_grad() output = model(input_seq) loss = criterion(output, output_seq) loss.backward() optimizer.step() total_loss += loss.item() return total_loss / len(loader) # Set device device = torch