Comments (1)
这跟sft数据和学习率有关,你可以尝试使用更好的代码sft开源数据,并调整学习率
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Related Issues (20)
- 微调完的模型,如何跟基础模型合并? HOT 1
- 本地部署怎么实现vscode自动代码补全? HOT 1
- How to use fine-tuned model? HOT 3
- 使用vllm加速inference后输出容易不符合格式要求
- 使用vllm加载33b-base或33b-instruct后,使用DS-1000、Program-Aided Math Reasoning (PAL)评估集进行评估,得分很低,与论文上的数据不符
- 并发数目
- 用vllm加速推理框架 推理速度还是很慢 HOT 1
- Are EOS tokens masked during pre-training? If so, how does FIM mode know how to connect to the `text_after`?
- 训练数据切分问题 HOT 1
- 疑惑:为什么 base 模型的 tokenizer 词表中也有类似 <|Assistant|> 这样多用于 chat 模型的 special tokens?
- Deepseekcoder 6 spitting out corrupt output for code generation question
- 为什么在进行一次训练加载后,会出现找不到显卡no slot的报错呢?
- RuntimeError: CUDA error: no kernel image is available for execution on the device
- Where is DeepSeek-Coder-V2?
- Long Code Arena
- deepseek-coder-6.7b-base vuejs代码补全上存在一些问题
- 加载模型时出错
- What is the correct padding side for train/eval of base model for FIM?
- dependency parsing code and deduplication script
- Problem in Math Evaluation HOT 1
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