--unk_id 、--bos_id、--eos_id、--pad_id 、 --unk_piece、--bos_piece、--eos_piece、--pad_piece 指定控制字符和ID,这里面现在我们一般只用pad和eos。在训练的时候文档或者一个turn的末尾增加一个eos token。需要做padding补齐的时候拼pad token,也可以直接用eos token当补齐token。不过建议四个都设置...
"我的小名是小明"# ↓↓(字符切分)↓↓["我","的","小","名","是","小","明"]# ↓↓(词表映射)↓↓token_id"My nickname is Xiao Ming"# ↓↓(字符切分)↓↓["M","y"," ","n","i","c","k","n","a","m","e"," ","i","s"," ","X","i","a","o"," ","M"...
use avocab.jsonstyle lookup to convert each token to an ID. I'm trying to do that in one step, usingsp_model.encode_as_ids, but my ids are off by 1, because the special tokens (sp_model.bos_token, etc) are different than fairseq's dictionary object: ...
软件环境 -paddlepaddle:2.4.0-paddlepaddle-gpu: 2.4.0-paddlenlp: 2.5.2 重复问题 I have searched the existing issues 错误描述 GPTChinese的tokenizer和model的特殊字符不对应,tokenizer.bos_token_id超出了词表范围 稳定复现步骤 & 代码 import paddle import paddle.nn as nn import paddlenlp from paddlenlp...
Template([['bos_token_id']], ['{ {QUERY}}'],None, [['eos_token_id']])) qwen_template = Template( [], ['<|im_start|>user\n{ {QUERY}}<|im_end|>\n<|im_start|>assistant\n'], ['<|im_end|>\n'], ['<|im_end|>'], DEFAULT_SYSTEM, ...
subword/子词级,它介于字符和单词之间。比如说’Transformers’可能会被分成’Transform’和’ers’两个部分。这个方案平衡了词汇量和语义独立性,是相对较优的方案。它的处理原则是,常用词应该保持原状,生僻词应该拆分成子词以共享token压缩空间。 2 常用tokenize算法 ...
bos_token="<|endoftext|>", eos_token="<|endoftext|>", ) 通过wrapped_tokenizer.save_pretrained("path")可以将 tokenizer 的整体状态保存为三个文件:tokenizer_config.json、special_tokens_map.json 和 tokenizer.json。若要从文件加载,就使用PreTrainedTokenizerFast.from_pretrained("path")实例化。
6.pad_token_id:这是一个整数,用作填充令牌的ID。默认值是-100。 7.bos_token:这是一个字符串,用作开始令牌。默认值是""。 8.eos_token:这是一个字符串,用作结束令牌。默认值是""。 9.cls_token:这是一个字符串,用作分类令牌。对于某些模型(如BERT)来说,这是非常重要的。默认值是"<CLS>"。 10...
['eos_token_id']]))register_template(TemplateType.default_generation_bos,Template([['bos_token_id']],['{{QUERY}}'],None,[['eos_token_id']]))qwen_template=Template([],['<|im_start|>user\n{{QUERY}}<|im_end|>\n<|im_start|>assistant\n'],['<|im_end|>\n'],['<|im_end|...
['eos_token_id']]))register_template(TemplateType.default_generation_bos,Template([['bos_token_id']],['{{QUERY}}'],None,[['eos_token_id']]))qwen_template=Template([],['<|im_start|>user\n{{QUERY}}<|im_end|>\n<|im_start|>assistant\n'],['<|im_end|>\n'],['<|im_end|...