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45 lines
1.6 KiB
45 lines
1.6 KiB
# -*- coding: utf-8 -*-
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"""
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@Time : 2023/3/27 10:23
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@Author :
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@FileName:
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@Software:
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@Describe:
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"""
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import sys
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import os
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pre_model_path = {
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"t5": {
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"linux": "/home/zc-nlp-zyp/work_file/ssd_data/模型库/预训练模型集合/keras/mt5/mt5_base",
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"win32": r"E:\pycharm_workspace\premodel\keras\mt5\mt5_base"
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},
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}
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class DropT5Config:
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def __init__(self):
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self.sys_platform = sys.platform
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self.premodel_path = pre_model_path["t5"][self.sys_platform]
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self.config_path = os.path.join(self.premodel_path, 'mt5_base_config.json')
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self.checkpoint_path = os.path.join(self.premodel_path, 'model.ckpt-1000000')
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self.spm_path = os.path.join(self.premodel_path, 'sentencepiece_cn.model')
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self.keep_tokens_path = os.path.join(self.premodel_path, 'sentencepiece_cn_keep_tokens.json')
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self.savemodel_path = "./output_t5/best_model_t5_zong_sim_99.weights"
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self.maxlen = 256
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self.cuda_id = "1"
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class MultipleResultsDropT5Config:
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def __init__(self):
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self.sys_platform = sys.platform
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self.premodel_path = pre_model_path["t5"][self.sys_platform]
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self.config_path = os.path.join(self.premodel_path, 'mt5_base_config.json')
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self.checkpoint_path = os.path.join(self.premodel_path, 'model.ckpt-1000000')
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self.spm_path = os.path.join(self.premodel_path, 'sentencepiece_cn.model')
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self.keep_tokens_path = os.path.join(self.premodel_path, 'sentencepiece_cn_keep_tokens.json')
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self.savemodel_path = "./output_t5/best_model_t5_dropout_0_3.weights"
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self.maxlen = 256
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self.cuda_id = "1"
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