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Pytorch实现中文文本分类任务（Bert，ERNIE，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention, DPCNN, Transformer）
weixin_43902021: bert-base-chinese-vocab.txt怎么下载呀 Pytorch实现中文文本分类任务（Bert，ERNIE，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention, DPCNN, Transformer）jgx5201314: Epoch [1/20] /root/miniconda3/lib/python3.8/site-packages/torch/nn/functional.py:652: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.) return torch.max_pool1d(input, kernel_size, stride, padding, dilation, ceil_mode) Iter: 0, Train Loss: 2.3, Train Acc: 16.41%, Val Loss: 2.7, Val Acc: 10.00%, Time: 0:00:08 * Pytorch实现中文文本分类任务（Bert，ERNIE，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention, DPCNN, Transformer）jgx5201314: Pytorch实现中文文本分类任务（Bert，ERNIE，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention, DPCNN, Transformer）jgx5201314: 楼主，我拉了这个代码，其他的都能跑，为啥TextCNN一直卡在epoch1 Pytorch实现中文文本分类任务（Bert，ERNIE，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention, DPCNN, Transformer）Bing激凌: File "D:\111\Bert-Chinese-Text-Classification-Pytorch\utils.py", line 19, in load_dataset content, label = lin.split('\t') ValueError: not enough values to unpack (expected 2, got 1) 加上bert也是这个错吗 |
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