Comments (10)
目前数据里面以开源数据为主,包含中文ocr的很少,所以表现会差一些,另外想强化对话能力,基于少量纯文本指令再微调一下就可以
from belle.
很难说是差一些,感觉完全不可用。
为什么chat能力变这么多?
from belle.
目前在指令微调阶段还没混合纯文本指令数据进去,另外微调阶段的中文多模态指令数据相比占比还是少一些,可能会影响在中文对话能力上的表现,
不过我们在混合多模态指令数据和中文的纯文本指令数据继续微调之后就会正常很多
from belle.
我这边试了一下,在中文对话场景下对话能力确实下降厉害,英文的好一些,主要原因应该还是中英数据占比问题,后续会再优化一下模型
from belle.
是从qwen的chat模型训练的,还是base模型?
from belle.
chat模型
from belle.
模型更新了一版
from belle.
有评测过吗
from belle.
目前在mme上评测的感知能力可以到1620分,不过还是以具体体验为准
from belle.
指的是,对话能力是否能保持,非图片
from belle.
Related Issues (20)
- 请问Chathome中,提到的数据比例1:5,指的是token数量1比5,还是数据条数1比5? HOT 1
- 请问有Belle-distilwhisper-large-v2-zh的部署教程吗? HOT 2
- VL多模态模型数据集 HOT 1
- Belle-whisper-large-v2-zh 加载报错 HOT 1
- 为什么语音识别的文字前面有特殊符号:� ,如何取消呢??? HOT 1
- 请问基于transformers的中文转写可以加标点吗? HOT 2
- 请问有微信群吗? HOT 2
- Hi, thanks for your great work! But where is the code to train Belle-whisper-larger-v2-zh and Belle-distilwhisper-large-v2-zh? HOT 1
- 用BELLE-2/Belle-whisper-large-v2-zh识别中文音频,效果还不如Systran/faster-whisper-large-v2? HOT 12
- 关于Belle-whisper-large-v2-zh模型分句的问题,请问这个模型是用有时间戳的分句数据训练的吗? HOT 3
- 有没有ggml模型呀? HOT 1
- 镜像不work
- Model inference speed is too slow (positively related to max_new_tokens length)
- 生成特定领域的高质量数据集
- can we fine-tunning on belle-whisper model HOT 1
- belle-whisper model take much more time even after transformed by ctranslate HOT 1
- large-v3-zh中文的效果变得更差了 HOT 2
- expect 'max_length' in BELLE-2/Belle-whisper-large-v3-zh/config.json when converting to ggml
- large-v3-zh经过ctranslate转换之后识别中文音频,但是结果确实英文 HOT 1
- 有尝试过将belle-whisper-large-v3-zh结合到so-vits-svc任务吗?目前仅见到了将large-v3结合so-vits-svc的工作 HOT 1
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