src/llamafactory/train/rm/metric.py

# 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])}