hiyouga / ChatGLM-Efficient-Tuning

Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
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4*V100 32g配置,满足zero3全量微调吗? #392

Closed gongjunjin closed 1 year ago

gongjunjin commented 1 year ago

4*V100 32g配置,满足zero3全量微调吗?

gongjunjin commented 1 year ago

或者8*v100可以吗?最低配置是多少?

hiyouga commented 1 year ago

可以试试

liuyijiang1994 commented 1 year ago

请问跑得动吗

gongjunjin commented 1 year ago

用deepspeed命令可以跑通,采用默认的zero3 config配置,用accelerate launch命令还没跑通 { "fp16": { "enabled": "auto", "loss_scale": 0, "loss_scale_window": 1000, "initial_scale_power": 16, "hysteresis": 2, "min_loss_scale": 1 },

"optimizer": {
    "type": "AdamW",
    "params": {
        "lr": "auto",
        "betas": "auto",
        "eps": "auto",
        "weight_decay": "auto"
    }
},

"scheduler": {
    "type": "WarmupLR",
    "params": {
        "warmup_min_lr": "auto",
        "warmup_max_lr": "auto",
        "warmup_num_steps": "auto"
    }
},

"zero_optimization": {
    "stage": 3,
    "offload_optimizer": {
        "device": "cpu",
        "pin_memory": true
    },
    "offload_param": {
        "device": "cpu",
        "pin_memory": true
    },
    "overlap_comm": true,
    "contiguous_gradients": true,
    "sub_group_size": 1e9,
    "reduce_bucket_size": "auto",
    "stage3_prefetch_bucket_size": "auto",
    "stage3_param_persistence_threshold": "auto",
    "stage3_max_live_parameters": 1e9,
    "stage3_max_reuse_distance": 1e9,
    "stage3_gather_16bit_weights_on_model_save": true
},

"gradient_accumulation_steps": "auto",
"gradient_clipping": "auto",
"steps_per_print": 20,
"train_batch_size": "auto",
"train_micro_batch_size_per_gpu": "auto",
"wall_clock_breakdown": false

}

请问跑得动吗