Once we complete our compute_metrics() function and pass it to the Trainer , that field will also contain the metrics returned by compute_metrics() . As you can ...

19 дек. 2021 г. · I am a bit confused as to how to properly define the compute_metrics() in Trainer. For instance, I see in the notebooks various possibilities.

The Trainer accepts a compute_metrics keyword argument that passes a function to compute metrics. One can specify the evaluation interval with ...

15 мар. 2023 г. · The compute_metrics function can be passed into the Trainer so that it validating on the metrics you need. How to get the accuracy per epoch or step for the huggingface ... How can I get metrics per label displayed in the transformers ... Другие результаты с сайта stackoverflow.com

27 нояб. 2023 г. · Compute metrics is to help track how the training is performing. It does not affect the training itself. So think of it is a reporting function that calculates ...

20 авг. 2023 г. · This blog is about the process of fine-tuning a Hugging Face Language Model (LM) using the Transformers library and customize the evaluation metrics.

12 окт. 2023 г. · So I am not able to compute the metrics that I want. Can anyone advise how I can get the generations into the compute_metrics function, please?

Hello everybody, I am trying to use my own metric for a summarization task passing the compute_metrics to the Trainer class.

The calling script will be responsible for providing a method to compute metrics, as they are task-dependent (pass it to the init compute_metrics argument).

28 сент. 2023 г. · Generative metrics easily fit this framework by setting predict_with_generate=True. The same is much less straightforward with a Causal underlying LM.