max_position_embeddings #8 Open jasonzou opened this issue Aug 21, 2024· 1 comment Commentsjasonzou commented Aug 21, 2024 多谢!学到不少。有一个问题,您的model的 https://github.com/AI-Study-Han/Zero-Chatgpt/blob/d19e74bc3d2f15c743c084fb6949232a17b040d0/pretrain/model/config.json#...
You BertConfig specifies max_position_embeddings=512 are you sure about 893 ? Usually the data just gets truncated to 512, but you can definitely try to push it to 1024 to fit all your data (If you're doing finetuning this won't work since position embeddings are learned with max_len=...
# that's the sentence transformer print(model.max_seq_length) # that's the underlying transformer print(model[0].auto_model.config.max_position_embeddings) Run Code Online (Sandbox Code Playgroud) 输出: 256 512 Run Code Online (Sandbox Code Playgroud) That means, the position embedding ...
importtorchimporttorch.nnasnnfromtransformersimportGPT2Model# 加载模型model=GPT2Model.from_pretrained("gpt2")# 新的 max_lengthnew_max_length=512# 扩展位置编码矩阵old_max_length=model.config.n_positionsifnew_max_length>old_max_length:new_position_embeddings=nn.Embedding(new_max_length,model.config...
输入嵌入组成部分是词向量(token embeddings)、段向量(segment embeddings)、位置向量(position embeddings) 词向量:向量的取值在模型训练过程中自动学习,估计就是利用Word2Vector等算法进行预训练以作为初始值 段向量:因为BERT里面有预测下一句的任务,所以会有两句拼接起来,上句与下句,上句有上句段向量,下句则有下句...
首先 encoder 的初始输入为 sentence embedding + position embedding,其中 position embedding 的三角函数表示挺有意思。Attention(Q,K,V)=softmax(QK^T/sqrt(d_k))V,其中 Q 与 K 均为输入,(V 为 learned value?此处存疑)。输入 size 为 [sequence_length, d_model],输出 size 不变。然后是 residual ...
Similarly, a 512 × 5 × 3 sized tensor is averaged with a (5 × 3) kernel to obtain 512-sized embeddings at the last layer. Figure 7. AI85FaceIdNet network structure. The model is trained with Analog Devices tools using the following command: train.py –epochs 100 –optimizer Adam ...
"original_max_position_embeddings"] derived_max_model_len*=scaling_factor ifmax_model_lenisNone: max_model_len=derived_max_model_len @saurabhdashWhat's your opinion on this? I guess we should add args onEngineArgsto allow custom rope settings, correct?Please ignore - I misunderstood the issu...
Previously, max position embeddings was missing from the config and thus set to 8192 by default, causing generation issue when current context window is over 8192. This PR hotfixes this issue. cc @...
Attention__init__ File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1709, in __getattr__ raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'") AttributeError: 'Qwen2Attention' object has no attribute 'max_position_embeddings'...