Description
max_steps_per_epoch
controls the maximum number of steps performed in a single epoch during training.
- A step is defined as training your model on a single mini-batch of size
batch_size
- An epoch is defined as the process of completing the specified number of steps, i.e.,
max_steps_per_epoch
steps, after which validation is performed.
This is particularly useful for managing the trade-off between training time and validation frequency.
For example, to double the validation frequency while keeping the total number of mini-batches the model processes unchanged, halve max_steps_per_epoch
and double max_epochs
.
max_steps_per_epoch
must be> 0
.
Supported Task Types
- All
Default Values
run_mode | Default Value |
---|---|
FAST | 1000 |
NORMAL | 2000 |
BEST | 2000 |
Updated 2 days ago