Comments (1)
By default, when set eval_steps=None, it will be evaluated once every epoch. For multiple evaluations, the calculation is not hard? It is the common use in tf, since it is hard to get the total number of samples from tfrecord.
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Related Issues (20)
- upgrade to polar 1.2 HOT 1
- 在复现TransAct的时候验证数据经过embedding映射后全变成了NaN HOT 4
- Where is the paper for FINAL model?
- torch.jit.trace not working HOT 1
- How to quickly start to train and test my new model using a public dataset instead of a toy dataset, such as avazu, criteo? HOT 2
- [Bug] SDIM was not correctly implemented.
- normalizer.py的接口normalize修改为transform HOT 1
- Training on original Criterio Dataset. HOT 2
- 支持多卡训练
- 太强了,我单方面宣布,你是CTR的神! HOT 1
- Add default param streaming to model_config HOT 1
- Streaming data loading, evaluation is not performed in epoch end.
- Dataloader cannot keep the order of samples when num_workers > 1
- Test NVTabular, Petastorm, and Huggingface Datasets for parquet data loading
- Call for model implementations
- 关于自己写的一个简单的新模型 HOT 11
- 生成的数据格式疑问? HOT 5
- Does FINAL belong to a model that combines explicit and implicit feature interactions on a layer-by-layer way? HOT 2
- feature embedding bug? HOT 1
- Adding new model leads to AttributeError: module 'model_zoo' has no attribute 'DCNv2PositiveWeight' HOT 3
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