Fortrain/qw/open_r1/configs.py

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2025-03-31 15:56:36 +08:00
# coding=utf-8
# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from dataclasses import dataclass, field
from typing import Optional
import trl
# TODO: add the shared options with a mixin to reduce code duplication
@dataclass
class GRPOConfig(trl.GRPOConfig):
"""
args for callbacks, benchmarks etc
"""
benchmarks: list[str] = field(
default_factory=lambda: [], metadata={"help": "The benchmarks to run after training."}
)
callbacks: list[str] = field(
default_factory=lambda: [], metadata={"help": "The callbacks to run during training."}
)
system_prompt: Optional[str] = field(
default=None, metadata={"help": "The optional system prompt to use for benchmarking."}
)
hub_model_revision: Optional[str] = field(
default="main", metadata={"help": "The Hub model branch to push the model to."}
)
overwrite_hub_revision: bool = field(default=False, metadata={"help": "Whether to overwrite the Hub revision."})
push_to_hub_revision: bool = field(default=False, metadata={"help": "Whether to push to a Hub revision/branch."})
wandb_entity: Optional[str] = field(
default=None,
metadata={"help": ("The entity to store runs under.")},
)
wandb_project: Optional[str] = field(
default=None,
metadata={"help": ("The project to store runs under.")},
)
@dataclass
class SFTConfig(trl.SFTConfig):
"""
args for callbacks, benchmarks etc
"""
benchmarks: list[str] = field(
default_factory=lambda: [], metadata={"help": "The benchmarks to run after training."}
)
callbacks: list[str] = field(
default_factory=lambda: [], metadata={"help": "The callbacks to run during training."}
)
system_prompt: Optional[str] = field(
default=None,
metadata={"help": "The optional system prompt to use for benchmarking."},
)
hub_model_revision: Optional[str] = field(
default="main",
metadata={"help": "The Hub model branch to push the model to."},
)
overwrite_hub_revision: bool = field(default=False, metadata={"help": "Whether to overwrite the Hub revision."})
push_to_hub_revision: bool = field(default=False, metadata={"help": "Whether to push to a Hub revision/branch."})
wandb_entity: Optional[str] = field(
default=None,
metadata={"help": ("The entity to store runs under.")},
)
wandb_project: Optional[str] = field(
default=None,
metadata={"help": ("The project to store runs under.")},
)