| -name '*json') | |
| The DeepSpeed configuration file is passed as a path to a JSON file if you're training from the command line interface or as a nested dict object if you're using the [Trainer] in a notebook setting. | |
| py | |
| TrainingArguments(, deepspeed="path/to/deepspeed_config.json") | |
| py | |
| ds_config_dict = dict(scheduler=scheduler_params, optimizer=optimizer_params) | |
| args = TrainingArguments(, deepspeed=ds_config_dict) | |
| trainer = Trainer(model, args, ) | |
| DeepSpeed and Trainer parameters | |
| There are three types of configuration parameters: | |
| Some of the configuration parameters are shared by [Trainer] and DeepSpeed, and it can be difficult to identify errors when there are conflicting definitions. |