compute_metrics: Optional[Callable[[EvalPrediction], Dict]] = None, @@ -573,13 +573,26 @@ def tokenize(element): f"inspect dataset other columns (in this case {extra_columns}), you can subclass `DataCollatorForLanguageModeling` in case you used the default collator and create your own ...
compute_metrics=compute_metrics, preprocess_logits_for_metrics = preprocess_logits_for_metrics )
Full fine tuning needs more compute resources, so it is advised to use the MultiGPU method. Example command: accelerate launch \ --num_processes=4 --config_file fixtures/accelerate_fsdp_defaults.yaml \ tuning/sft_trainer.py \ --model_name_or_path$MODEL_PATH\ --tokenizer_name_or_path$MODE...
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Aimstack: A popular opensource tracker which can be used to track any metrics or metadata from the experiments. Further details on enabling and using the trackers mentioned above can be foundhere. More Examples Prompt Tuning on Twitter Complaints ...