| For example, some example configurations you can setup are: | |
| yml | |
| compute_environment: LOCAL_MACHINE | |
| distributed_type: MULTI_GPU | |
| downcast_bf16: 'no' | |
| gpu_ids: all | |
| machine_rank: 0 #change rank as per the node | |
| main_process_ip: 192.168.20.1 | |
| main_process_port: 9898 | |
| main_training_function: main | |
| mixed_precision: fp16 | |
| num_machines: 2 | |
| num_processes: 8 | |
| rdzv_backend: static | |
| same_network: true | |
| tpu_env: [] | |
| tpu_use_cluster: false | |
| tpu_use_sudo: false | |
| use_cpu: false | |
| yml | |
| compute_environment: LOCAL_MACHINE | |
| distributed_type: FSDP | |
| downcast_bf16: 'no' | |
| fsdp_config: | |
| fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP | |
| fsdp_backward_prefetch_policy: BACKWARD_PRE | |
| fsdp_forward_prefetch: true | |
| fsdp_offload_params: false | |
| fsdp_sharding_strategy: 1 | |
| fsdp_state_dict_type: FULL_STATE_DICT | |
| fsdp_sync_module_states: true | |
| fsdp_transformer_layer_cls_to_wrap: BertLayer | |
| fsdp_use_orig_params: true | |
| machine_rank: 0 | |
| main_training_function: main | |
| mixed_precision: bf16 | |
| num_machines: 1 | |
| num_processes: 2 | |
| rdzv_backend: static | |
| same_network: true | |
| tpu_env: [] | |
| tpu_use_cluster: false | |
| tpu_use_sudo: false | |
| use_cpu: false | |
| yml | |
| compute_environment: LOCAL_MACHINE | |
| deepspeed_config: | |
| deepspeed_config_file: /home/user/configs/ds_zero3_config.json | |
| zero3_init_flag: true | |
| distributed_type: DEEPSPEED | |
| downcast_bf16: 'no' | |
| machine_rank: 0 | |
| main_training_function: main | |
| num_machines: 1 | |
| num_processes: 4 | |
| rdzv_backend: static | |
| same_network: true | |
| tpu_env: [] | |
| tpu_use_cluster: false | |
| tpu_use_sudo: false | |
| use_cpu: false | |
| yml | |
| compute_environment: LOCAL_MACHINE | |
| deepspeed_config: | |
| gradient_accumulation_steps: 1 | |
| gradient_clipping: 0.7 | |
| offload_optimizer_device: cpu | |
| offload_param_device: cpu | |
| zero3_init_flag: true | |
| zero_stage: 2 | |
| distributed_type: DEEPSPEED | |
| downcast_bf16: 'no' | |
| machine_rank: 0 | |
| main_training_function: main | |
| mixed_precision: bf16 | |
| num_machines: 1 | |
| num_processes: 4 | |
| rdzv_backend: static | |
| same_network: true | |
| tpu_env: [] | |
| tpu_use_cluster: false | |
| tpu_use_sudo: false | |
| use_cpu: false | |
| The accelerate_launch command is the recommended way to launch your training script on a distributed system with Accelerate and [Trainer] with the parameters specified in config_file.yaml. |