sft-v3 / config.py
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DS_CONFIG_ZERO0 = {
"bf16": {
"enabled": True,
},
"optimizer": {
"type": "AdamW",
"params": {
"lr": 3e-5,
"betas": [0.98, 0.999],
"eps": 1e-9
}
},
"scheduler": {
"type": "WarmupLR",
"params": {
"warmup_min_lr": 2e-5,
"warmup_max_lr": 5e-5,
"warmup_num_steps": 300
}
},
"zero_optimization": {
"stage": 0
},
"gradient_accumulation_steps": 16,
"train_micro_batch_size_per_gpu": 1,
"wall_clock_breakdown": False,
"steps_per_print": 50
}
DS_CONFIG_ft = {
"bf16": {
"enabled": True,
},
"optimizer": {
"type": "AdamW",
"params": {
"lr": 3e-5,
"betas": [0.98, 0.999],
"eps": 1e-9
}
},
"scheduler": {
"type": "WarmupLR",
"params": {
"warmup_min_lr": 2e-5,
"warmup_max_lr": 5e-5,
"warmup_num_steps": 300
}
},
"zero_optimization": {
"stage": 1,
"allgather_partitions": True,
"allgather_bucket_size": 2e8,
"overlap_comm": True,
"reduce_scatter": True,
"reduce_bucket_size": 2e8,
"contiguous_gradients": True,
"stage3_gather_16bit_weights_on_model_save": True,
"offload_optimizer": {
"device": "cpu"
}
},
"gradient_accumulation_steps": 16,
"train_micro_batch_size_per_gpu": 1,
"wall_clock_breakdown": False,
"steps_per_print": 50
}
TARGET_MODULES = [
"q_proj",
"v_proj",
]