mindspore/example/Bert_NEZHA/config.py

# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================

"""
network config setting, will be used in main.py
"""

from easydict import EasyDict as edict
import mindspore.common.dtype as mstype
from mindspore.model_zoo.Bert_NEZHA import BertConfig
bert_cfg = edict({
    'epoch_size': 10,
    'num_warmup_steps': 0,
    'start_learning_rate': 1e-4,
    'end_learning_rate': 1,
    'decay_steps': 1000,
    'power': 10.0,
    'save_checkpoint_steps': 2000,
    'keep_checkpoint_max': 10,
    'checkpoint_prefix': "checkpoint_bert",
    'DATA_DIR' = "/your/path/examples.tfrecord"
    'SCHEMA_DIR' = "/your/path/datasetSchema.json"
    'bert_config': BertConfig(
                       batch_size=16,
                       seq_length=128,
                       vocab_size=21136,
                       hidden_size=1024,
                       num_hidden_layers=24,
                       num_attention_heads=16,
                       intermediate_size=4096,
                       hidden_act="gelu",
                       hidden_dropout_prob=0.0,
                       attention_probs_dropout_prob=0.0,
                       max_position_embeddings=512,
                       type_vocab_size=2,
                       initializer_range=0.02,
                       use_relative_positions=True,
                       input_mask_from_dataset=True,
                       token_type_ids_from_dataset=True,
                       dtype=mstype.float32,
                       compute_type=mstype.float16, 
                   )
})