Comments (2)
shenlei1020
commented on July 23, 2024
您好，
1、因为刚开源，很多支持工作还在排期中（比如模型训练经验report还没整好），请谅解。
2、我们这个模型一个优化目标是更多领域数据适配（公开数据集，学术论文，学科教育场景，其他还是金融、法律、百科、代码等），可以现在您的领域试一下是否满足需求。
3、如果2中所述，无法达到需求，可以先借助其他开源embedding项目训练工具在您的领域finetune（作为初始权重），可以加微信群finetune细节。
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iamhere1
commented on July 23, 2024
好的，感谢，看你们的效果挺好的，期待你们的训练代码！
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Related Issues (20)
- bce-reranker-base_v1原生支持的passage长度问题 HOT 1
- Are there any optimization methods to support the optimized run of this project? HOT 1
- RerankerModel的token数量 HOT 4
- 复现 LlamaIndex RAG评测结果时的一些问题 HOT 1
- Xinference对比手动部署 HOT 4
- 单独部署-用api的方式提供服务 HOT 1
- python3.11报错 HOT 1
- 请问有 C-MTEB （非英文）的测试结果么？ HOT 1
- 请问有没有提交到最新的mteb leaderboard的结果对比？
- 请问出现这种情况：Token indices sequence length is longer than the specified maximum sequence length for this model (781 > 512)，如何解决？ HOT 1
- query只能是一个句子吗？多轮交互下的召回或者排序，BCEEmbedding支持处理呢？ HOT 3
- Input validation error: `inputs` must have less than 512 tokens. Given: 1009 HOT 1
- accelerate加速，微调bce模型报错：Could not find the transformer layer class to wrap in the model. HOT 1
- FYI：最近测了 bce chunksize & bge 对比 HOT 2
- 请问如何在特定数据集上优化这个词向量模型？
- 为什么匹配效果越来越差 HOT 1
- embedding、rerank模型加速推理 HOT 8
- 多GPU并发调用报错：Core dumped HOT 4
- reranker模型使用时，出现在待排序的doc中添加前缀会出现排序结果更好的情况 HOT 1
- 咨询关于 Rerank Overlap 相关的问题 HOT 1
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