max_steps_per_epoch
max_steps_per_epoch: <int> (Optional)
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_epochsteps, 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_epochmust be> 0.
Supported Task Types
- All
Default Values
| run_mode | Default Value |
|---|---|
| FAST | 1000 |
| NORMAL | 2000 |
| BEST | 2000 |
max_steps_per_epoch
max_steps_per_epoch: <int> (Optional)
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_epochsteps, 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_epochmust be> 0.
Supported Task Types
- All
Default Values
| run_mode | Default Value |
|---|---|
| FAST | 1000 |
| NORMAL | 2000 |
| BEST | 2000 |