Контрольная точка — сохраненные данные, фиксирующие состояние модели, обычно включая параметры или веса, в определенный момент во время или после обучения. Контрольные точки позволяют возобновлять обучение, версионировать модели или оценивать и развертывать конкретные состояния модели.
Data that captures the state of a model's parameters either during training or after training is completed. For example, during training, you can: 1. Stop training, perhaps intentionally or perhaps as the result of certain errors. 2. Capture the checkpoint. 3. Later, reload the checkpoint, possibly on different hardware. 4. Restart training.
Data that captures the state of a model's parameters either during training or after training is completed. For example, during training, you can: 1. Stop training, perhaps intentionally or perhaps as the result of certain errors. 2. Capture the checkpoint. 3. Later, reload the checkpoint, possibly on different hardware. 4. Restart training. Within Gemini, a checkpoint refers to a specific version of a Gemini model trained on a specific dataset.