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Fix model-final/model-best meta from train CLI (#5093)
* Fix model-final/model-best meta * include speed and accuracy from final iteration * combine with speeds from base model if necessary * Include token_acc metric for all components
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@ -554,7 +554,30 @@ def train(
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with nlp.use_params(optimizer.averages):
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final_model_path = output_path / "model-final"
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nlp.to_disk(final_model_path)
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final_meta = srsly.read_json(output_path / "model-final" / "meta.json")
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meta_loc = output_path / "model-final" / "meta.json"
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final_meta = srsly.read_json(meta_loc)
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final_meta.setdefault("accuracy", {})
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final_meta["accuracy"].update(meta.get("accuracy", {}))
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final_meta.setdefault("speed", {})
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final_meta["speed"].setdefault("cpu", None)
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final_meta["speed"].setdefault("gpu", None)
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# combine cpu and gpu speeds with the base model speeds
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if final_meta["speed"]["cpu"] and meta["speed"]["cpu"]:
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speed = _get_total_speed([final_meta["speed"]["cpu"], meta["speed"]["cpu"]])
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final_meta["speed"]["cpu"] = speed
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if final_meta["speed"]["gpu"] and meta["speed"]["gpu"]:
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speed = _get_total_speed([final_meta["speed"]["gpu"], meta["speed"]["gpu"]])
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final_meta["speed"]["gpu"] = speed
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# if there were no speeds to update, overwrite with meta
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if final_meta["speed"]["cpu"] is None and final_meta["speed"]["gpu"] is None:
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final_meta["speed"].update(meta["speed"])
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# note: beam speeds are not combined with the base model
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if has_beam_widths:
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final_meta.setdefault("beam_accuracy", {})
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final_meta["beam_accuracy"].update(meta.get("beam_accuracy", {}))
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final_meta.setdefault("beam_speed", {})
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final_meta["beam_speed"].update(meta.get("beam_speed", {}))
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srsly.write_json(meta_loc, final_meta)
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msg.good("Saved model to output directory", final_model_path)
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with msg.loading("Creating best model..."):
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best_model_path = _collate_best_model(final_meta, output_path, best_pipes)
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@ -649,11 +672,11 @@ def _get_metrics(component):
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if component == "parser":
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return ("las", "uas", "las_per_type", "token_acc")
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elif component == "tagger":
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return ("tags_acc",)
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return ("tags_acc", "token_acc")
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elif component == "ner":
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return ("ents_f", "ents_p", "ents_r", "ents_per_type")
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return ("ents_f", "ents_p", "ents_r", "ents_per_type", "token_acc")
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elif component == "textcat":
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return ("textcat_score",)
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return ("textcat_score", "token_acc")
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return ("token_acc",)
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@ -709,3 +732,12 @@ def _get_progress(
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if beam_width is not None:
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result.insert(1, beam_width)
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return result
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def _get_total_speed(speeds):
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seconds_per_word = 0.0
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for words_per_second in speeds:
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if words_per_second is None:
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return None
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seconds_per_word += 1.0 / words_per_second
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return 1.0 / seconds_per_word
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