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Cielciel/aift-model-review-multiple-label-classification
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#!/usr/bin/env python
# Copyright 2019 Google LLC
#
# 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.
# Task type can be either 'classification', 'regression', or 'custom'.
# This is based on the target feature in the dataset.
TASK_TYPE = 'classification'
# Dataset name
DATASET_NAME = 'imdb'
# pre-trained model name
PRETRAINED_MODEL_NAME = 'bert-base-cased'
# List of the class values (labels) in a classification dataset.
TARGET_LABELS = {1:1, 0:0, -1:0}
# maximum sequence length
MAX_SEQ_LENGTH = 128