ValueError: Shape of variable bert/embeddings/LayerNorm/beta:0 ((768,)) doesn't match with shape of tensor bert/embeddings/LayerNorm/beta ([312]) from checkpoint reader.

[learnpythontheew]

运行第四步的时候遇到了这样的报错：
ValueError: Shape of variable bert/embeddings/LayerNorm/beta:0 ((768,)) doesn't match with shape of tensor bert/embeddings/LayerNorm/beta ([312]) from checkpoint reader.

执行run_lasertagger.py 文件 model config 用的lasertagger
用了你提供的链接下载的RoBERTa-tiny-clue模型

请问是哪里出现了问题呢？

[tongchangD]

训练模型维度不一样，抱歉，我上传的文件夹 中lasertagger_config.json， 是有内容的，GitHub中没了
你可以将 lasertagger_config.json 修改如下
{
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 312,
"initializer_range": 0.02,
"intermediate_size": 1248,
"max_position_embeddings": 512,
"num_attention_heads": 12,
"num_hidden_layers": 4,
"type_vocab_size": 2,
"vocab_size": 8021,
"use_t2t_decoder": true,
"decoder_num_hidden_layers": 1,
"decoder_hidden_size": 768,
"decoder_num_attention_heads": 4,
"decoder_filter_size": 3072,
"use_full_attention": false
}