Spaces:
Paused
Paused
File size: 1,667 Bytes
2f5127c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 |
# Copyright 2020-2025 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 trl.trainer.online_dpo_config import OnlineDPOConfig
@dataclass
class XPOConfig(OnlineDPOConfig):
r"""
Configuration class for the [`XPOTrainer`].
Subclass of [`OnlineDPOConfig`] we can use all its arguments and add the following:
Parameters:
alpha (`float` or `list[float]`, *optional*, defaults to `1e-5`):
Weight of the XPO loss term. If a list of floats is provided then the alpha is selected for each new epoch
and the last alpha is used for the rest of the epochs.
"""
alpha: list[float] = field(
default_factory=lambda: [1e-5],
metadata={
"help": "Weight of the XPO loss term. If a list of floats is provided then the alpha is selected for each "
"new epoch and the last alpha is used for the rest of the epochs."
},
)
def __post_init__(self):
super().__post_init__()
if hasattr(self.alpha, "__len__") and len(self.alpha) == 1:
self.alpha = self.alpha[0]
|