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 ... |
The metrics in evaluate can be easily integrated with the Trainer. The Trainer accepts a compute_metrics keyword argument that passes a function to compute ... |
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 ... CUDA out of memory while using compute_metrics function in ... How to Log Custom Metrics with Metadata in Hugging Face ... Другие результаты с сайта stackoverflow.com |
3 мая 2024 г. · Setting compute_metrics in Trainer with Idefics2ForConditionalGeneration leads to AttributeError: 'DynamicCache' object has no attribute 'detach'. |
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. · Hi, I want to include a custom generation based compute_metrics e.g., BLEU, to the SFTTrainer. However, I have difficulties because: The ... |
This implements a Huggingface Transformers compatible trainer that works for a task like the CosineSimilarityLoss example in Training. |
21 июн. 2023 г. · 즉, evaluation 시점에서 모델의 성능을 나타내는 지표를 계산하기 위한 함수이다. 입력으로는 EvalPrediction 클래스를 입력받고, string을 key로 갖고, ... |
训练器 接受一个 compute_metrics 关键字参数，该参数传递一个计算指标的函数。可以使用 TrainerArguments 中的 evaluation_strategy 指定评估间隔，并根据该间隔对模型进行 ... |
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