embed-bge-m3/FlagEmbedding/research/Reinforced_IR/finetune/retriever/arguments.py

25 lines
818 B
Python

from dataclasses import dataclass, field
from FlagEmbedding.abc.finetune.embedder import AbsEmbedderDataArguments
from FlagEmbedding.abc.finetune.embedder import (
AbsEmbedderTrainingArguments,
AbsEmbedderModelArguments
)
@dataclass
class IREmbedderTrainingArguments(AbsEmbedderTrainingArguments):
"""
Training argument class for M3.
"""
training_type: str = field(default='retrieval_answer', metadata={"help": "whether to use answer"})
answer_temperature: float = field(default=None, metadata={"help": "temperature for answer"})
normalize_answer: bool = field(default=True, metadata={"help": "normalize answer"})
@dataclass
class IREmbedderDataArguments(AbsEmbedderDataArguments):
"""
Data argument class for M3.
"""
answer_inbatch: bool = field(default=False)