A new latent attention layer. We introduce a latent attention layer, which simplifies the model’s process of combining the mathematical representation (embeddings) of a series of words (tokens sequence). Typically, this is done by either taking an average, in the case of BERT-based models, o...
3. MTEB and C-MTEB leaderboard: 训练 1. pretrain阶段: 2. finetune阶段: 3. reranker阶段: 效果 其他 最近有用到bge embedding,简单记录下学习的内容。向量模型可以将任意文本映射为低维稠密向量,以用于检索、分类、聚类或语义匹配等任务,并可支持为大模型调用外部知识,成为RAG[1]必不可少的一部分。BGE[...
evaluation.run(RetrievalModel(encoder), output_folder=args.output_dir, overwrite_results=False)else: evaluation.run(encoder, output_folder=args.output_dir, overwrite_results=False) 在https://huggingface.co/spaces/mteb/leaderboard上可以看到,acge模型已经在目前业界最全面、最权威的中文语义向量评测基准C-M...
目前的leaderboard中存在的一些用参数规模明显大的模型，这些模型生成的embedding维度更高，从评分来说也确...
在https://huggingface.co/spaces/mteb/leaderboard上可以看到,acge模型已经在目前业界最全面、最权威的中文语义向量评测基准C-MTEB(Chinese Massive Text Embedding Benchmark)的榜单中获得了第一名的成绩。 由上表可以看到,acge_text_embedding模型在“Classification Average (9 datasets)”这一列中,acge_text_embeddi...
UAE-Large-V1: A small-ish (335M parameters) open-source embedding model We also attempted to evaluateSFR-Embedding-Mistral, currently the #1 best embedding model on the MTEB leaderboard, but the hardware below was not sufficient to run this model. This model and other 14+ GB models on the...
effectiveness of our approach is validated by our model’s top-ranking performance on the Chinese leaderboard of the Massive Text Embedding Bench-mark. We hope our method inspires more works to explore new ways of hard negative mining. The model has been uploaded to Huggingface: Conan-embedding-...
evaluation.run(RetrievalModel(encoder), output_folder=args.output_dir, overwrite_results=False) else: evaluation.run(encoder, output_folder=args.output_dir, overwrite_results=False) 在https://huggingface.co/spaces/mteb/leaderboard上可以看到,acge模型已经在目前业界最全面、最权威的中文语义向量评测基准C...
在https://huggingface.co/spaces/mteb/leaderboard上可以看到,acge模型已经在目前业界最全面、最权威的中文语义向量评测基准C-MTEB(Chinese Massive Text Embedding Benchmark)的榜单中获得了第一名的成绩。 由上表可以看到,acge_text_embedding模型在“Classification Average (9 datasets)”这一列中,acge_text_embeddi...
User-friendly AI Interface (Supports Ollama, OpenAI API, ...) - enh: lazy load embedding model for leaderboard · Issue #6421 · open-webui/open-webui