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When I run inference on a Llama3 model finetuned using Ludwig, I keep getting this error:
set_cols, feature, missing_value_strategy, computed_fill_value, backend)
1756 logger.warning(
1757 f"DROP_ROW missing value strategy applied. Dropped {len_before_dropped_rows - len_after_dropped_rows} "
1758 f"samples out of {len_before_dropped_rows} from column {feature[COLUMN]}. The rows containing these "
1759 f"samples will ultimately be dropped from the dataset."
1760 )
1761 else:
-> 1762 raise ValueError(f"Invalid missing value strategy {missing_value_strategy}")
ValueError: Invalid missing value strategy fill_with_const
I didn't quite solve the problem but found a workaround:
Since the model completed finetuning,
I loaded the model to HuggingFace and then ran inference on this model (base model + fine tuned Peft adapater).
When I run inference on a Llama3 model finetuned using Ludwig, I keep getting this error:
Here is my training script:
And for inference:
new_model.predict(_test_df.loc[0:1])
Here is the full trace:
-3.0
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