Files
LLaMA-Factory/src/llamafactory/train/rm/metric.py
hiyouga e6ba7ef3e6 improve rlhf
Former-commit-id: e441780e3db256ca09a442ea9254e7ce16898a07
2024-07-02 22:23:08 +08:00

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872 B
Python

# Copyright 2024 the LlamaFactory team.
#
# 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 typing import TYPE_CHECKING, Dict
import numpy as np
if TYPE_CHECKING:
from transformers import EvalPrediction
def compute_accuracy(eval_preds: "EvalPrediction") -> Dict[str, float]:
return {"accuracy": np.mean(eval_preds.predictions[0] > eval_preds.predictions[1])}