HF RL Explorer

Task: Implement a Custom Keras Callback to Stop Training Based on Loss Value

Task: Implement a Custom Keras Callback to Stop Training Based on Loss Value: a task in Terminal-Lego-15k (Harbor dataset). Create a custom Keras callback that stops model training when the monitored loss value falls below a specified threshold. This is different from EarlyStopping which monitors…

The task

Create a custom Keras callback that stops model training when the monitored loss value falls below a specified threshold. This is different from `EarlyStopping` which monitors whether loss has *improved* — here we want to stop when loss reaches an *absolute target value*.

Part of PrimeIntellect/Terminal-Lego-15k.