examples/yaml/deepspeed/sft.json

{
    "model": "Qwen/Qwen2.5-7B-Instruct",
    "torch_dtype": "bfloat16",
    "tuner_type": "lora",
    "lora_rank": 8,
    "lora_alpha": 32,
    "target_modules": "all-linear",
    "dataset": [
      "AI-ModelScope/alpaca-gpt4-data-zh#500",
      "AI-ModelScope/alpaca-gpt4-data-en#500",
      "swift/self-cognition#500"
    ],
    "split_dataset_ratio": 0.0,
    "max_length": 2048,
    "system": "You are a helpful assistant.",
    "model_author": "swift",
    "model_name": "swift-bot",
    "num_train_epochs": 1,
    "per_device_train_batch_size": 1,
    "per_device_eval_batch_size": 1,
    "learning_rate": 1e-4,
    "gradient_accumulation_steps": 8,
    "eval_steps": 50,
    "save_steps": 50,
    "save_total_limit": 2,
    "logging_steps": 5,
    "output_dir": "output",
    "warmup_ratio": 0.05,
    "dataloader_num_workers": 4,
    "dataset_num_proc": 4,
    "deepspeed": "zero2"
}