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improve error messages for training

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This commit is contained in:
josc146 2023-07-09 11:39:44 +08:00
parent 22afc98be5
commit fcc3886db1
2 changed files with 7 additions and 5 deletions
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5
frontend/src/_locales/zh-hans/main.json
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@ -224,7 +224,7 @@
"Convert Data successfully": "数据转换成功",
"Please select a LoRA model": "请选择一个LoRA模型",
"You are using sample data for training. For formal training, please make sure to create your own jsonl file.": "你正在使用示例数据训练，对于正式训练场合，请务必创建你自己的jsonl训练数据",
"WSL is not running. You may be using an outdated version of WSL, run \"wsl --update\" to update.": "WSL没有运行。你可能正在使用旧版本的WSL，请在cmd执行\"wsl --update\"以更新",
"WSL is not running, please retry. If it keeps happening, it means you may be using an outdated version of WSL, run \"wsl --update\" to update.": "WSL没有运行，请重试。如果一直出现此错误，意味着你可能正在使用旧版本的WSL，请在cmd执行\"wsl --update\"以更新",
"Memory is not enough, try to increase the virtual memory or use a smaller base model.": "内存不足，尝试增加虚拟内存，或使用一个更小规模的基底模型",
"VRAM is not enough": "显存不足",
"Training data is not enough, reduce context length or add more data for training": "训练数据不足，请减小上下文长度或增加训练数据",
@ -232,5 +232,6 @@
"Matched CUDA is not installed": "未安装匹配的CUDA",
"Failed to convert data": "数据转换失败",
"Failed to merge model": "合并模型失败",
"The data path should be a directory or a file in jsonl format (more formats will be supported in the future).\n\nWhen you provide a directory path, all the txt files within that directory will be automatically converted into training data. This is commonly used for large-scale training in writing, code generation, or knowledge bases.\n\nThe jsonl format file can be referenced at https://github.com/Abel2076/json2binidx_tool/blob/main/sample.jsonl.\nYou can also write it similar to OpenAI's playground format, as shown in https://platform.openai.com/playground/p/default-chat.\nEven for multi-turn conversations, they must be written in a single line using `\\n` to indicate line breaks. If they are different dialogues or topics, they should be written in separate lines.": "数据路径必须是一个文件夹，或者jsonl格式文件 (未来会支持更多格式)\n\n当你填写的路径是一个文件夹时，该文件夹内的所有txt文件会被自动转换为训练数据，通常这用于大批量训练写作，代码生成或知识库\n\njsonl文件的格式参考 https://github.com/Abel2076/json2binidx_tool/blob/main/sample.jsonl\n你也可以仿照openai的playground编写，参考 https://platform.openai.com/playground/p/default-chat\n即使是多轮对话也必须写在一行，用`\\n`表示换行，如果是不同对话或主题，则另起一行"
"The data path should be a directory or a file in jsonl format (more formats will be supported in the future).\n\nWhen you provide a directory path, all the txt files within that directory will be automatically converted into training data. This is commonly used for large-scale training in writing, code generation, or knowledge bases.\n\nThe jsonl format file can be referenced at https://github.com/Abel2076/json2binidx_tool/blob/main/sample.jsonl.\nYou can also write it similar to OpenAI's playground format, as shown in https://platform.openai.com/playground/p/default-chat.\nEven for multi-turn conversations, they must be written in a single line using `\\n` to indicate line breaks. If they are different dialogues or topics, they should be written in separate lines.": "数据路径必须是一个文件夹，或者jsonl格式文件 (未来会支持更多格式)\n\n当你填写的路径是一个文件夹时，该文件夹内的所有txt文件会被自动转换为训练数据，通常这用于大批量训练写作，代码生成或知识库\n\njsonl文件的格式参考 https://github.com/Abel2076/json2binidx_tool/blob/main/sample.jsonl\n你也可以仿照openai的playground编写，参考 https://platform.openai.com/playground/p/default-chat\n即使是多轮对话也必须写在一行，用`\\n`表示换行，如果是不同对话或主题，则另起一行",
"Size mismatch for blocks. You are attempting to continue training from the LoRA model, but it does not match the base model. Please set LoRA model to None.": "尺寸不匹配块。你正在尝试从LoRA模型继续训练，但该LoRA模型与基底模型不匹配，请将LoRA模型设为空"
}

7
frontend/src/pages/Train.tsx
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@ -147,17 +147,18 @@ const loraFinetuneParametersOptions: Array<[key: keyof LoraFinetuneParameters, t
const showError = (e: any) => {
const msg = e.message || e;
if (msg === 'wsl not running') {
toast(t('WSL is not running. You may be using an outdated version of WSL, run "wsl --update" to update.'), { type: 'error' });
toast(t('WSL is not running, please retry. If it keeps happening, it means you may be using an outdated version of WSL, run "wsl --update" to update.'), { type: 'error' });
} else {
toast(t(msg), { type: 'error' });
toast(t(msg), { type: 'error', toastId: 'train_error' });
}
};
const errorsMap = Object.entries({
'killed python3 ./finetune/lora/train.py': 'Memory is not enough, try to increase the virtual memory or use a smaller base model.',
'python3 ./finetune/lora/train.py': 'Memory is not enough, try to increase the virtual memory or use a smaller base model.',
'cuda out of memory': 'VRAM is not enough',
'valueerror: high <= 0': 'Training data is not enough, reduce context length or add more data for training',
'+= \'+ptx\'': 'You are using WSL 1 for training, please upgrade to WSL 2. e.g. Run "wsl --set-version Ubuntu-22.04 2"',
'size mismatch for blocks': 'Size mismatch for blocks. You are attempting to continue training from the LoRA model, but it does not match the base model. Please set LoRA model to None.',
'cuda_home environment variable is not set': 'Matched CUDA is not installed',
'unsupported gpu architecture': 'Matched CUDA is not installed',
'error building extension \'fused_adam\'': 'Matched CUDA is not installed'