Comments (1)
您好,训练脚本默认是会训练至设置的max_epochs
或max_steps
为止,不会当验证集上性能下降时停止训练
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Related Issues (20)
- 各位大佬,专家,请问该模型能否在Windows系统下进行运行呢?欢迎来交流
- onnx模型转换报错 HOT 1
- “参数命名不同”:Huggingface上的CLIP模型和GITHUB上的 CLIP模型 参数命名不同
- CN-CLIPViT-B/16模型在输入与向量化图片无关的输入时,如!@#¥,仍能有结果匹配 HOT 1
- 能否通过文本向量化中加入指令优化图片召回率
- COCO-CN数据集申请
- 使用MUGE微调时,训练日志里面的Image2Text Acc与评测时的R@1的召回指标不一致?
- 模型加载问题
- 运行,报错了,bash run_scripts/muge_finetune_vit-b-16_rbt-base.sh ${DATAPATH}
- Is there a CLIP model that is smaller than ResNet50 and RBT3?
- 进行 rn50 model-arch 转 onnx 的时候会报如下错误 HOT 1
- 微调太复杂 简单的东西搞得这么复杂
- 请教下,提取图文特征json数据后,应该怎么配合clip-retrieval使用搭建自己的检索demo?
- 通过pip安装的cn_clip库方法load_from_name不能加载本地模型 HOT 1
- The context length to use; all baseline models use 52 as the context length
- 翻译有点糟糕
- 使用下列代码,如何加载自己训练的 'ViT-L-14'模型指定路径的.pt文件。(比如加载Epoch为2的./data/model/epoch2.pt模型) HOT 6
- 大佬可以训练一个像jina-clip-v1的中文版这样的话,以后做搜索或是 构建多模态 RAG 应用 就牛了~~
- AttributeError: 'ChineseCLIPConfig' object has no attribute 'hidden_size'
- 可以在fiftyone中实现文搜图跨模态检索吗
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