Comments (6)
- ziya 权重,我训练时用的是官方最初发布的完整版模型权重(后来IDEA改为发布diff权重了),你给的这个ziya权重我没测试过;
- repetition_penalty: 1.01 的数值调高可以降低重复问题;
- 微调数据是240万那个数据集,我开源数据集了,可以自行查看。
- 后续会把医疗多轮对话训练好,放个完全权重版本的模型(可能是falcon的等,可以免费商用协议的模型)。
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- ziya 权重,我训练时用的是官方最初发布的完整版模型权重(后来IDEA改为发布diff权重了),你给的这个ziya权重我没测试过;
这个有对应的sha256可以对比一下吗?- repetition_penalty: 1.01 的数值调高可以降低重复问题;
这个调高了非常容易不响应,也就是模型不输出任何东西。
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Ziya-LLaMA-13B-v1
![image](https://private-user-images.githubusercontent.com/10249622/249702808-5fb78d5c-c43e-424f-8d4b-b85521e3c2e7.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.HEtly41GyMG03U_aJTZQD-ifeayT7fckV6GgnVQip8c)
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我对比了一下,和我下载的不一样,sigh。
能发出第一个文件的 sha256 吗?hugglingface上面的lfs文件只有sha256可以对比。
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release full model.
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Related Issues (20)
- 关于llama3的权重转换 HOT 1
- ValueError: Please specify target_modules in peft_config HOT 1
- PPO和SFT阶段数据集 HOT 2
- 大佬,DPO训练报错 HOT 4
- 大佬,DPO可以改成inputIds和attention_mask 输入吗 HOT 1
- 支持GLM4微调 HOT 1
- notebook报错 HOT 1
- 增量预训练PT与有监督微调SFT的疑问 HOT 1
- RuntimeError: "nll_loss_out_frame" not implemented for 'Half' HOT 2
- 关于本地训练问题 HOT 1
- 增量预训练,这样的input_ids的格式是不是有问题,帮忙看看 HOT 1
- 从头开始训练 HOT 2
- 运行sh ./run_ppo.sh时遇到错误ValueError: Target modules q_proj,v_proj not found in the base model. Please check the target modules and try again错误复现过程
- 请问是否支持最新的InternLM 2.5? HOT 1
- 训练数据集切分一次,多次重复使用的问题 HOT 2
- internlm2-1.8b微调报错 HOT 2
- 大量数据加载问题 HOT 2
- Is possible multilingual English and Spanish HOT 1
- 预测时,提示Attention Mask 未设置和Attention Mask 未设置 HOT 3
- rm阶段,loss降到0,并且图看起来很奇怪 HOT 8
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