Ask-sola

Results 8 issues of Ask-sola

我希望将一个句子直接进行分类,但是我手上没有一个标注好的分类数据集,所以只能求助于开放的模型,通过暴力匹配计算相似度来实现句子分类。那么如果直接将句子和词语编码后计算相似度,是否会有相似性的性能体现出来呢?

我使用的是python=3.8,发生了LSTM部分函数不支持,似乎需要pytorch1.3?(这好像已经是很难获取的版本了)

我用了百度云下载的主干特征提取网络,然后只训练了两个epoch,然后直接做getmap,得到了87.19%,这个情况正常吗 ![image](https://github.com/bubbliiiing/faster-rcnn-pytorch/assets/88783257/2cccb8ef-b3aa-468f-bbd8-9c218bb08ecf) ![image](https://github.com/bubbliiiing/faster-rcnn-pytorch/assets/88783257/6988b841-7a08-4e30-82de-af454a2024bc)

Hello, I am trying to run this project, but when I was building RamCloud, I entered "make j8 DEBUG=no" and received the following error: ![image](https://github.com/PlatformLab/TorcDB/assets/88783257/dd4972b8-9c3a-4dbc-8db6-375dcbf357e5) This seems to be related...

I used wandb to look at my training process and found that the printed process was overwritten, and although it did have training, there was a problem with the display....

I followed the code below to fine-tune the model: ```bash torchrun --nproc_per_node 2 \ -m FlagEmbedding.finetune.reranker.decoder_only.base \ --model_name_or_path BAAI/bge-reranker-v2-gemma \ --use_lora True \ --lora_rank 32 \ --lora_alpha 64 \ --use_flash_attn...

Hello, I read your paper and I noticed that the final loss iteration used a labeling method to calculate binary cross-entropy loss. If I understand correctly, this seems to be...

**Describe the bug** The code segment in DeepSpeed: from apex import ampat line 135 in engine.py under the runtime directory is no longer usable. https://github.com/NVIDIA/apex/issues/1912

bug
compression