Minor bugfixes for train CLI (#5186)

* Omit per_type scores from model-best calculations

The addition of per_type scores to the included metrics (#4911) causes
errors when they're compared while determining the best model, so omit
them for this `max()` comparison.

* Add default speed data for interrupted train CLI

Add better speed meta defaults so that an interrupted iteration still
produces a best model.

Co-authored-by: Ines Montani <ines@ines.io>

spacy/cli/train.py

@@ -566,6 +566,9 @@ def train(
             final_meta.setdefault("speed", {})
             final_meta["speed"].setdefault("cpu", None)
             final_meta["speed"].setdefault("gpu", None)
+            meta.setdefault("speed", {})
+            meta["speed"].setdefault("cpu", None)
+            meta["speed"].setdefault("gpu", None)
             # combine cpu and gpu speeds with the base model speeds
             if final_meta["speed"]["cpu"] and meta["speed"]["cpu"]:
                 speed = _get_total_speed(
@@ -673,6 +676,8 @@ def _find_best(experiment_dir, component):
         if epoch_model.is_dir() and epoch_model.parts[-1] != "model-final":
             accs = srsly.read_json(epoch_model / "accuracy.json")
             scores = [accs.get(metric, 0.0) for metric in _get_metrics(component)]
+            # remove per_type dicts from score list for max() comparison
+            scores = [score for score in scores if isinstance(score, float)]
             accuracies.append((scores, epoch_model))
     if accuracies:
         return max(accuracies)[1]