15 мар. 2023 г. · The compute_metrics function can be passed into the Trainer so that it validating on the metrics you need. |
19 авг. 2024 г. · I'm encountering a CUDA out of memory error when using the compute_metrics function with the Hugging Face Trainer during model evaluation. |
9 мая 2021 г. · The idea is to compute evaluations on the training set and add them to the logs. Make sure to combine the eval and train dictionaries into one ... |
27 дек. 2023 г. · I am working on Chinese sequence-to-sequence generation. I have the following HuggingFace Transformers codes to train a sequence-to-sequence model. |
29 окт. 2024 г. · The Problem: The compute_metrics function only receives predictions and labels, and not the additional metadata. I need a way to log metrics ... |
22 мая 2023 г. · The train_dataset changes the gradient during optimization and parameters of the model. Reports training loss. The eval_dataset is sort of like ... |
20 мая 2021 г. · I think you need to tell the trainer how often to evaluate performance with evaluation_strategy and eval_steps in TrainingArguments. |
19 мар. 2023 г. · Your issue comes from your compute_metrics function as you're using a QA metric with a text-generation model. To fix it, replace metric ... |
8 мая 2023 г. · Is the compute_metrics code you're using just calculating accuracy? If so, maybe try huggingface.co/spaces/evaluate-metric/seqeval? – alvas. |
18 мар. 2024 г. · It turns out the issue was a hidden state in the jupyter notebook which was recursively calling compute_metrics passing as arguments parts ... |
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