[pull] develop from freqtrade:develop#1699
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pull[bot] merged 3 commits intoUncodedtech:developfrom Mar 25, 2026
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Add optional early stopping to prevent overfitting in PyTorch-based
FreqAI models. When `early_stopping_patience` is set in
model_training_parameters, training will stop if validation loss
does not improve for the specified number of epochs.
Changes:
- Add `early_stopping_patience` parameter (default 0 = disabled)
- `estimate_loss()` now returns average loss (float | None) instead
of None, enabling downstream use for schedulers and early stopping
- Track best validation loss and patience counter across epochs
Usage in config:
```json
{
"model_training_parameters": {
"n_epochs": 100,
"early_stopping_patience": 10
}
}
```
The change is fully backward compatible - early stopping is disabled
by default, and the return value of estimate_loss() can be safely
ignored by existing subclasses.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Document the new early_stopping_patience trainer_kwargs parameter in the FreqAI parameter table, including description, datatype, default value, and usage notes.
feat: add early stopping support to PyTorchModelTrainer
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