Related Issues (20)
- 这个数据集是不是有点问题,使用merge.py的时候就会出问题 HOT 3
- 学习复现的话需要多少colab内的计算单元? HOT 1
- 运行data_uilts的时候出错
- 关于无监督数据灌入模型+有监督微调 HOT 4
- 领域10万条多轮对话数据微调之后,能记住10万条数据,但是其他问题,回答的不好,如何解决? HOT 1
- 有没有人出现灾难性遗忘问题?就是说,餐饮领域多轮对话数据微调后,其他通用领域回复不好??
- 通过餐饮领域多轮对话数据训练之后感觉其他的回答认知出现了问题 HOT 2
- 关于翻译alpaca_data.json认领 HOT 2
- 家人们,一张3090能train吗? HOT 1
- 数据标注 HOT 2
- RuntimeError: expected scalar type Half but found Float 你们在训练的时候遇到过这样的情况吗?
- 关于无监督数据灌入模型
- 'target_modules' ,bias ,'with_lora' HOT 1
- merge.py 整合数据集时,没有保留input部分是为什么呀?
- 调整哪些参数有可以有效降低显存要求,这样3090单卡可以跑下去
- 我们把github上代码都试了一下,现在能看出明显变化的就是https://github.com/ssbuild/chatglm_finetuning
- 最近几个月咋没更新了 HOT 1
- json.load() raise json.decoder.JSONDecodeError
- 请问,如何评测微调后的模型效果?
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from alpaca_chinese_dataset.