Tag: early stopping
Validation and Early Stopping Criteria for Large Language Model Training
Validation and early stopping are critical for efficient LLM training. Using perplexity as a metric and setting patience thresholds helps prevent overfitting while saving massive compute costs. Human review is essential to catch bias and memorization that metrics miss.
