from transformers import BertModel, BertTokenizer, AdamW, get_linear_schedule_with_warmup import torch import numpy as np import pandas as pd from sklearn.model_selection import train_test_split from sklearn.metrics import confusion_matrix, classification_report from collections import defaultdict from...
from bert4pytorch.tokenization import BertTokenizer from bert4pytorch.optimization import AdamW, get_linear_schedule_with_warmup import torch model_path = "/model/pytorch_bert_pretrain_model" config = BertConfig(model_path + "/config.json") tokenizer = BertTokenizer(model_path + "/vocab.txt")...
import numpy as np from transformers import AlbertTokenizer, AlbertForMaskedLM, AdamW, get_linear_schedule_with_warmup, \ DataCollatorForLanguageModeling from torch.nn.parallel import DistributedDataParallel from torch.utils.data import Dataset, DataLoader, RandomSampler from torch.utils.data.distributed ...
optimizer = optim.SGD(self.parameters(), lr=self.args.lr, momentum=0.9) if self.args.scheduler_name == "lr_schedule": scheduler = get_linear_schedule_with_warmup( optimizer=optimizer, num_warmup_steps=self.args.warmup_step, num_training_steps=self.args.total_steps) if optimizer and sche...
optimizer = AdamW(model.parameters(), lr=LR, correct_bias=False)scheduler = get_linear_schedule_with_warmup(optimizer, num_warmup_steps=WARMUP_STEPS, num_training_steps=t_total)forepochinrange(EPOCHS): loss.backward() optimizer.step() scheduler.step() 1 2 3 4 5 6 7 8 当保存和加载...
utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler from transformers import BertTokenizer, BertForSequenceClassification, AdamW from transformers import get_linear_schedule_with_warmup SEED = 123 BATCH_SIZE = 16 learning_rate = 2e-5 weight_decay = 1e-2 epsilon = 1e-8 ...
scheduler = get_linear_schedule_with_warmup(optimizer, num_warmup_steps=args.warmup_steps, num_training_steps=t_total) 如果机器上有 apex ,可以通过 --fp16 参数设置,进行加速训练 ifargs.fp16:try:fromapeximportampexceptImportError:raiseImportError("Please install apex from https://www.github.com...
13 warm up 14 ChainedScheduler 15 SequentialLR 1 LambdaLR 以自定义一个函数作为乘法因子控制衰减。 公式: 函数: 代码语言:javascript 复制 """ 将每个参数组的学习率设置为初始 lr 乘以给定函数.当 last_epoch=-1时,设置 lr 为 初始 lr."""
huggingface-基于pytorch-bert的中⽂⽂本分类1、安装hugging face的transformers pip install transformers 2、下载相关⽂件 字表:wget http://52.216.242.246/models.huggingface.co/bert/bert-base-uncased-vocab.txt 配置⽂件:wget http://52.216.242.246/models.huggingface.co/bert/bert-base-uncased-...
pytorch+huggingface实现基于bert模型的文本分类(附代码)id location keyword text target 1圣地亚哥 ⼤⽕圣地亚哥国家公园出现严重森林⼤⽕12硅⾕ 沙滩今天在硅⾕的沙滩晒太阳真开⼼0pytorch+huggingface 实现基于bert 模型的⽂本分类(附代码)从RNN 到BERT ⼀年前的这个时候,我逃课了⼀个星期,从...