  therefore, if you don't configure the scheduler this is scheduler that will get configured by default.
If you don't configure the scheduler entry in the configuration file, the [Trainer] will use
the values of --lr_scheduler_type, --learning_rate and --warmup_steps or --warmup_ratio to configure a
🤗 Transformers version of it.
Here is an example of the auto-configured scheduler entry for WarmupLR:
json
{
   "scheduler": {
         "type": "WarmupLR",
         "params": {
             "warmup_min_lr": "auto",
             "warmup_max_lr": "auto",
             "warmup_num_steps": "auto"
         }
     }
}
Since "auto" is used the [Trainer] arguments will set the correct values in the configuration
file. This is so that there is one definitive source of the values and to avoid hard to find errors when, for example,
