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train/configs/__init__.py
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train/configs/__init__.py
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train/configs/finetune_arguments.py
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train/configs/finetune_arguments.py
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from dataclasses import dataclass, field
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### 定义一些配置信息
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@dataclass
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class FinetuneArguments:
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model_name: str = field()
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data_path: str = field()
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train_size: int = field(default=-1)
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test_size: int = field(default=100)
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max_len: int = field(default=1024)
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train/configs/fsdp/internlm_fsdp_config.json
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train/configs/fsdp/internlm_fsdp_config.json
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{
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"fsdp_transformer_layer_cls_to_wrap": ["InternLMDecoderLayer"],
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"limit_all_gathers": true
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}
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train/configs/fsdp/llama2_fsdp_config.json
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train/configs/fsdp/llama2_fsdp_config.json
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{
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"fsdp_transformer_layer_cls_to_wrap": ["LlamaDecoderLayer"],
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"limit_all_gathers": true
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}
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train/configs/fsdp/qwen_fsdp_config.json
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train/configs/fsdp/qwen_fsdp_config.json
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{
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"fsdp_transformer_layer_cls_to_wrap": ["QWenBlock"],
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"limit_all_gathers": true
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}
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train/configs/logger_config.py
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train/configs/logger_config.py
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logger_config = {
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'version': 1,
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'formatters': {
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'simple': {
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'format': f"%(asctime)s %(name)s %(levelname)s: %(message)s",
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'datefmt': '%Y-%m-%d %H:%M:%S',
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},
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# 其他的 formatter
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},
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'handlers': {
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'console': {
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'class': 'logging.StreamHandler',
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'level': 'DEBUG',
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'formatter': 'simple',
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},
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# 其他的 handler
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},
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'loggers':{
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# 仅输出到控制台,使用 StreamLogger
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'StreamLogger': {
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'handlers': ['console'],
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'level': 'DEBUG',
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},
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# 其他的 Logger
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}
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}
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