ContinualAI/avalanche

Using validation set for early stopping

Open

#904 建立於 2022年2月4日

在 GitHub 查看
 (0 留言) (0 反應) (0 負責人)Python (258 fork)batch import
Evaluationbuggood first issue

倉庫指標

Star
 (1,516 star)
PR 合併指標
 (30 天內沒有已合併 PR)

描述

Discussed in https://github.com/ContinualAI/avalanche/discussions/900

Originally posted by sivomke January 30, 2022 Hi, everyone!

I have created a benchmark with dataset_benchmark that contains 3 experiences, and then have added a validation set to this benchmark with benchmark_with_validation_stream. I am trying to use Early Stopping with validation set: for each experience, I would like to use loss on the validation set of the corresponding experience. I have indicated metric_name = 'Loss_Exp' and val_stream_name='valid' , however, it still uses Loss_Exp/eval_phase/train_stream of the corresponding experience instead. Could you please tell me what would be the correct way to use validation set for early stopping?

Here is the script

Thank you!

貢獻者指南