Large Language Models, Quantization, Machine Learning, Data Science, Hands On Tutorials.
input_ids.clone() with torch.no_grad(): outputs = model(input_ids, labels=target_ids) # Loss calculation neg_log_likelihood = outputs.loss # Perplexity calculation ppl = torch.exp(neg_log_likelihood) return ppl ppl = calculate_perplexity(model, original_text) ppl_abs =