The launch command is similar to LlamaFactory. Below is an example using a loss weighter:

FORCE_TORCHRUN=1 DISABLE_VERSION_CHECK=1 dataflex-cli train examples/train_lora/weighters/loss.yaml

Unlike vanilla LlamaFactory, your .yaml config file must include DataFlex-specific parameters:

### dynamic_train
train_type: dynamic_weight 
components_cfg_file: src/dataflex/configs/components.yaml
component_name: loss
warmup_step: 1
num_train_epochs: 1.0
train_step: 0 # set positive to fix total steps and override num_train_epochs

For multi-epoch runs, set num_train_epochs: N and keep train_step: 0. warmup_step is a global step threshold and does not reset each epoch.