hv129

Results 2 issues of hv129

``` from promptify import Prompter, Pipeline, Azure llm = Azure(engine=engine, api_base=api_base, api_version="2023-05-15", api_key=api_key, api_type="azure", model="gpt-35-turbo-16k") prompter = Prompter('ner.jinja') pipe = Pipeline(prompter, llm) result = pipe.fit(text, domain=domain, labels=labels, description=description, examples=examples) result...

`finetuning_config = model.finetuning_config()` `finetuning_config.output_dir = "model_cp/"` Changing the model's output directory as above (mentioned in https://xturing.stochastic.ai/configuration/finetune_configure/ ). This is having no effect in Databricks and the model checkpoints are still...