HF RL Explorer

Task: Implement Cross-Entropy Loss and Gradient Descent Optimization

Task: Implement Cross-Entropy Loss and Gradient Descent Optimization: a task in Terminal-Lego-15k (Harbor dataset). Cross-entropy is a loss function commonly used in machine learning, particularly for classification tasks. It measures the difference between two probability distributions: the true…

The task

Cross-entropy is a loss function commonly used in machine learning, particularly for classification tasks. It measures the difference between two probability distributions: the true distribution (labels) and the predicted distribution (model output).

Part of PrimeIntellect/Terminal-Lego-15k.