Ask-sola
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  
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:  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