Comments (2)
xxw1995
commented on August 28, 2024
跟max_seq_length没有太大关系
建议：每隔1000steps保留一次checkpoint，用大约10000步的chekpoint推理**「训练集」，看是否集内可以拟合**，如果拟合了，说明模型能力没有问题。
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Jeru2023
commented on August 28, 2024
我发现是因为一个愚蠢的原因，我的标注里加了换行符
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Related Issues (19)
- Something wrong in the data preprocess HOT 3
- 应该如何测试微调出来的效果？ HOT 1
- UnicodeDecodeError: 'gbk' codec can't decode byte 0xa4 in position 64: illegal multibyte sequence HOT 3
- SFTTrainner封装训练时间倍增 HOT 2
- lora存checkpoint的问题 HOT 2
- 你好，我用您的代码跑不管是multi还是默认的都无法自动部署在多卡上，请问需要调整代码解决吗，GPU是Tesla T4*4 HOT 3
- evaluate时显存暴增 HOT 2
- It is recommended to support multiple GPU cards HOT 2
- huggingface_hub.utils._validators.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: './bge-large-zh'. HOT 1
- RuntimeError: probability tensor contains either `inf`, `nan` or element < 0 HOT 2
- from model.modeling_chatglm import ChatGLMForConditionalGeneration not found HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: 'data/npc_data.csv'
- FineTune CUDA out of memory HOT 10
- No module named 'model' HOT 1
- 大佬能否出一个多卡训练的脚本？
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- 请问下 如何用这种openai api的方式推理微调过的 模型。 HOT 1
- 如何增加工具，使得模型能够识别？ HOT 1
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