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The metadata dictionary in TorchExperiment._evaluate() was always empty. This fix populates it with useful training information:

  • num_epochs_trained: The number of epochs the model was trained for
  • all_metrics: All metrics collected during training

This is consistent with other Hyperactive integrations (sklearn, sktime) which also return useful metadata.

…e() method

The metadata dictionary in TorchExperiment._evaluate() was always empty. This fix populates it with useful training information:
- num_epochs_trained: The number of epochs the model was trained for
- all_metrics: All metrics collected during training

This is consistent with other Hyperactive integrations (sklearn, sktime) which also return useful metadata.
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