63 lines
1.8 KiB
JSON
63 lines
1.8 KiB
JSON
{
|
||
"_doc": "DeepSpeed ZeRO-3 + optimizer CPU offload · Qwen2.5-7B 全参 SFT on 4×V100 32G · 国作登字-2026-A-00037559",
|
||
"_strategy": [
|
||
"V100 不支持 bf16，因此用 fp16",
|
||
"ZeRO-3 把模型权重/梯度/优化器状态分片到 4 卡，单卡只持 1/4",
|
||
"optimizer 状态 (Adam fp32 momentum/variance) offload 到 CPU 内存（160GB 充足），单卡再省 ~28GB",
|
||
"gradient_checkpointing=True 在 train.py 侧打开，用算力换显存",
|
||
"stage3_gather_16bit_weights_on_model_save 让保存时聚合权重，方便 inference 加载",
|
||
"无 parameter offload — 保持训练吞吐"
|
||
],
|
||
"fp16": {
|
||
"enabled": true,
|
||
"loss_scale": 0,
|
||
"loss_scale_window": 1000,
|
||
"initial_scale_power": 16,
|
||
"hysteresis": 2,
|
||
"min_loss_scale": 1
|
||
},
|
||
"bf16": {
|
||
"enabled": false
|
||
},
|
||
"optimizer": {
|
||
"type": "AdamW",
|
||
"params": {
|
||
"lr": "auto",
|
||
"betas": "auto",
|
||
"eps": "auto",
|
||
"weight_decay": "auto"
|
||
}
|
||
},
|
||
"scheduler": {
|
||
"type": "WarmupDecayLR",
|
||
"params": {
|
||
"total_num_steps": "auto",
|
||
"warmup_min_lr": "auto",
|
||
"warmup_max_lr": "auto",
|
||
"warmup_num_steps": "auto"
|
||
}
|
||
},
|
||
"zero_optimization": {
|
||
"stage": 3,
|
||
"offload_optimizer": {
|
||
"device": "cpu",
|
||
"pin_memory": true
|
||
},
|
||
"overlap_comm": true,
|
||
"contiguous_gradients": true,
|
||
"sub_group_size": 1000000000,
|
||
"reduce_bucket_size": "auto",
|
||
"stage3_prefetch_bucket_size": "auto",
|
||
"stage3_param_persistence_threshold": "auto",
|
||
"stage3_max_live_parameters": 1000000000,
|
||
"stage3_max_reuse_distance": 1000000000,
|
||
"stage3_gather_16bit_weights_on_model_save": true
|
||
},
|
||
"gradient_accumulation_steps": "auto",
|
||
"gradient_clipping": "auto",
|
||
"steps_per_print": 50,
|
||
"train_batch_size": "auto",
|
||
"train_micro_batch_size_per_gpu": "auto",
|
||
"wall_clock_breakdown": false
|
||
}
|