lianjiatech / belle Goto Github PK

有两点没明白，麻烦大佬老师帮解释下吧：
1、为什么需要种子任务 zh_seed_tasks.json？
种子任务的作用是什么？

2、生成数据时

　　pip install -r requirements.txt
export OPENAI_API_KEY=YOUR_API_KEY
python generate_instruction.py generate_instruction_following_data
最后的这个参数 generate_instruction_following_data 是什么大佬老师？ 是表示生成数据的存储文件吗？
非常感谢大佬老师

研发者你好，我们对这个工作非常感兴趣，想要进行复现，但受限于算力和显存问题，bloom-7b可能train不动，所以想请教下你们是否有尝试过bloom小参数规模的模型进行finetune吗？效果如何？
不确定更小的模型是否会有拟合能力不足的问题导致复现失败。

WARNING:root:Reducing target length to 0, Retrying...
WARNING:root:OpenAIError: This model's maximum context length is 2049 tokens, however you requested 3643 tokens (3643 in your prompt; 0 for the completion). Please reduce your prompt; or completion length..
WARNING:root:Reducing target length to 0, Retrying...
WARNING:root:OpenAIError: This model's maximum context length is 2049 tokens, however you requested 3643 tokens (3643 in your prompt; 0 for the completion). Please reduce your prompt; or completion length..
WARNING:root:Reducing target length to 0, Retrying...
WARNING:root:OpenAIError: This model's maximum context length is 2049 tokens, however you requested 3643 tokens (3643 in your prompt; 0 for the completion). Please reduce your prompt; or completion length..
WARNING:root:Reducing target length to 0, Retrying...
WARNING:root:OpenAIError: This model's maximum context length is 2049 tokens, however you requested 3643 tokens (3643 in your prompt; 0 for the completion). Please reduce your prompt; or completion length..
WARNING:root:Reducing target length to 0, Retrying...
WARNING:root:OpenAIError: This model's maximum context length is 2049 tokens, however you requested 3643 tokens (3643 in your prompt; 0 for the completion). Please reduce your prompt; or completion length..
WARNING:root:Reducing target length to 0, Retrying...
WARNING:root:OpenAIError: This model's maximum context length is 2049 tokens, however you requested 3643 tokens (3643 in your prompt; 0 for the completion). Please reduce your prompt; or completion length..
WARNING:root:Reducing target length to 0, Retrying...

有人知道如何fintune这个模型吗

175个中文种子任务 这数据在哪里？能让我们看下嘛？

比如平台，GPU 型号，数量，其它硬件环境参数等？

https://github.com/cocktailpeanut/dalai 基于斯坦福的我运行起来了，windows环境。是通过npx dalai serve运行起来的。请问作者您这个是如何运行的呢，pip install -r requirements.txt
export OPENAI_API_KEY=YOUR_API_KEY
python generate_instruction.py generate_instruction_following_data都运行了。下一步不知道该如何操作了

Traceback (most recent call last):
File "generate_instruction.py", line 24, in
import utils
File "/mnt/amj/chatgpt/BELLE/utils.py", line 40, in
prompts: Union[str, Sequence[str], Sequence[dict[str, str]], dict[str, str]],
TypeError: 'type' object is not subscriptable
(chatgpt) [root@iZ2zecged3txs683zzjfnpZ BELLE]# python3 generate_instruction.py generate_instruction_following_data --api=chat --model_name=gpt-3.5-turbo
Traceback (most recent call last):
File "generate_instruction.py", line 24, in
import utils
File "/mnt/amj/chatgpt/BELLE/utils.py", line 40, in
prompts: Union[str, Sequence[str], Sequence[dict[str, str]], dict[str, str]],
TypeError: 'type' object is not subscriptable

麻烦看下如何解决

使用generate_instruction.py生成的regen.json文件的格式，与Belle.train.json的格式完全不一样，regen.json的字段更多，且包含了instruction、input、output字段，但是Belle.train.json文件中只有input与target字段。【Stanford Alpaca】做微调的数据格式与regen.json格式相似，Belle.train.json还得再重新调整下格式才能做模型微调吗

OSError: Unable to load weights from pytorch checkpoint file for './bigscience/bloomz-7b1/pytorch_model.bin' at './bigscience/bloomz-7b1/pytorch_model.bin'. If you tried to load a PyTorch model from a TF 2.0 checkpoint, please set from_tf=True.

如果将from_tf设置为true的话，又会收到以下错误：
Loading model: ./bigscience/bloomz-7b1
Traceback (most recent call last):
File "/home/ubuntu/bloomz.cpp/convert-hf-to-ggml.py", line 84, in
model = AutoModelForCausalLM.from_pretrained(model_name, config=config, torch_dtype=torch.float16 if ftype == 1 else torch.float32, low_cpu_mem_usage=True, from_tf=True)
File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py", line 471, in from_pretrained
return model_class.from_pretrained(
File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 2613, in from_pretrained
model, loading_info = load_tf2_checkpoint_in_pytorch_model(
File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_tf_pytorch_utils.py", line 407, in load_tf2_checkpoint_in_pytorch_model
tf_model_class = getattr(transformers, tf_model_class_name)
File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py", line 1119, in getattr
raise AttributeError(f"module {self.name} has no attribute {name}")
AttributeError: module transformers has no attribute TFBloomForCausalLM

hi，感谢你们的开源工作！我们做了BELLE 7B-2M的安全评测，结果在http://115.182.62.166:18000/public

请问在本地下载好了模型，还需要openai_api_key吗？

File "/mnt1/wcp/BEELE/BELLE-main/generate_instruction.py", line 28, in
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
File "/home/appuser/miniconda3/envs/wcppy39/lib/python3.9/site-packages/transformers/models/auto/tokenization_auto.py", line 679, in from_pretrained
return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
File "/home/appuser/miniconda3/envs/wcppy39/lib/python3.9/site-packages/transformers/tokenization_utils_base.py", line 1804, in from_pretrained
return cls._from_pretrained(
File "/home/appuser/miniconda3/envs/wcppy39/lib/python3.9/site-packages/transformers/tokenization_utils_base.py", line 1958, in _from_pretrained
tokenizer = cls(*init_inputs, **init_kwargs)
File "/home/appuser/miniconda3/envs/wcppy39/lib/python3.9/site-packages/transformers/models/bloom/tokenization_bloom_fast.py", line 118, in init
super().init(
File "/home/appuser/miniconda3/envs/wcppy39/lib/python3.9/site-packages/transformers/tokenization_utils_fast.py", line 111, in init
fast_tokenizer = TokenizerFast.from_file(fast_tokenizer_file)
Exception: expected value at line 1 column 1

请问训练时，模型的最长输入是多少

Hi @mabaochang

请问有RM和PPO相关的数据和代码分享吗？

具体error

KeyError Traceback (most recent call last)
Cell In[4], line 73
71 instruction_data = []
72 for result in results:
---> 73 new_instructions = post_process_gpt3_response(num_prompt_instructions, result)
74 instruction_data += new_instructions
76 total = len(instruction_data)

直接运行generate_instruction.py文件会报错，显示key不存在，这是啥原因呢
运行命令：
python -m generate_instruction generate_instruction_following_data
--output_dir ./
--num_instructions_to_generate 10
--model_name="text-davinci-003" \

python环境：3.9

Cell In[1], line 52, in post_process_gpt3_response(num_prompt_instructions, response)
50 if response is None:
51 return []
---> 52 raw_instructions = response["message"]["content"]
53 if '指令:' not in raw_instructions[0: 10] and '指令：' not in raw_instructions[0: 10]:
54 raw_instructions = f"{num_prompt_instructions+1}. 指令:" + raw_instructions

KeyError: 'message'

加上多轮对话后belle-7b-2m模型会生成自问自答的内容。

问答内容如下：

请输入:你是人工智能哪个方向的? ---------------我输入的
response: 是的，我属于自然语言处理领域的人工智能 -----------------生成的
Human:哇，这个领域很厉害啊 -------------------生成的
Assistant:是啊，它能够帮助人们1更好地理解和使用语言 -----------------生成的

您好，我下载了数据集之后看到json内容的描述是"input"和"target"，stanford中的是"instruction"/"input"/"output"，我想请教一下这里"input"送训练的时候会用//n来分成"instruction"和“input”吗，还是你们默认"input"就是“instruction”

File "/mnt1/wcp/BEELE/BELLE-main/utils.py", line 41, in
prompts: Union[str, Sequence[str], Sequence[dict[str, str]], dict[str, str]],
TypeError: 'type' object is not subscriptable

有开源完整数据集的计划吗

https://github.com/cocktailpeanut/dalai，的Alpaca 7B 量化的版本在我的Mac OS M1上可以跑起来。

llama-7b的预训练模型不支持中文，这里是直接使用2M中文信息进行SFT吗

您好，bigscience/bloomz-7b1-mt中pytorch_model.bin是14.1GB，为啥BelleGroup/BELLE-7B-2M中pytorch_model.bin是28.3GB？

为什么要填写openai的key呢，这样的话就不是本地化部署了把

大神们好。我在运行bloom_inference.py文件的时候，加载的模型是量化后的8bit模型（bloom7b-2m-8bit-128g.pt），但是加载的时候，transformer报错：

请问下这个是啥情况啊

请问一下，bloom 二次训练是不是用bloom 官方的代码二次训练， 还是要自己更改stanford_alpaca 的训练。

我这边60G的内存在AutoModelForCausalLM.from_pretrained过程溢出了

按照
pip install -r requirements.txt
export OPENAI_API_KEY=xxxx
python generate_instruction.py generate_instruction_following_data
执行时，报错如下：
Traceback (most recent call last):
File "generate_instruction.py", line 22, in
import utils
File "/Users/caizhongxiang/Research/llm/BELLE/utils.py", line 48, in
return_text=False,
TypeError: 'type' object is not subscriptable
操作系统是maxOS Catalina 10.15.7
python安装版本是3.7
requirements.txt 里面的均已安装成功。pycharm本身没有提示版本上的问题。
求助~

ARNING:root:OpenAIError: Invalid URL (POST /v1/chat/completions). | 0/1 [00:00<?, ?it/s]
WARNING:root:Hit request rate limit; retrying...
WARNING:root:OpenAIError: Invalid URL (POST /v1/chat/completions).
WARNING:root:Hit request rate limit; retrying...
WARNING:root:OpenAIError: Invalid URL (POST /v1/chat/completions).
WARNING:root:Hit request rate limit; retrying...
WARNING:root:OpenAIError: Invalid URL (POST /v1/chat/completions).
WARNING:root:Hit request rate limit; retrying...
WARNING:root:OpenAIError: Invalid URL (POST /v1/chat/completions).
WARNING:root:Hit request rate limit; retrying...
WARNING:root:OpenAIError: Invalid URL (POST /v1/chat/completions).
WARNING:root:Hit request rate limit; retrying...
WARNING:root:OpenAIError: Invalid URL (POST /v1/chat/completions).
WARNING:root:Hit request rate limit; retrying...
WARNING:root:OpenAIError: Invalid URL (POST /v1/chat/completions).
WARNING:root:Hit request rate limit; retrying...
WARNING:root:OpenAIError: Invalid URL (POST /v1/chat/completions).
WARNING:root:Hit request rate limit; retrying...
WARNING:root:OpenAIError: Invalid URL (POST /v1/chat/completions).
WARNING:root:Hit request rate limit; retrying...

可能需要量化。降低门槛才能有更多的人体验到。

bigscience/bloomz-7b1对应的模型文件在https://huggingface.co/BelleGroup上没有找到下载的入口？

WARNING:urllib3.connectionpool:Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f0f65b2a250>: Failed to establish a new connection: [Errno 111] Connection refused'))': /v1/completions
WARNING:urllib3.connectionpool:Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f0f65b2a400>: Failed to establish a new connection: [Errno 111] Connection refused'))': /v1/completions
WARNING:root:OpenAIError: Error communicating with OpenAI: HTTPSConnectionPool(host='api.openai.com', port=443): Max retries exceeded with url: /v1/completions (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f0f65b2a040>: Failed to establish a new connection: [Errno 111] Connection refused'))).
WARNING:root:Hit request rate limit; retrying...
WARNING:urllib3.connectionpool:Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f0f65b5ffa0>: Failed to establish a new connection: [Errno 111] Connection refused'))': /v1/completions
WARNING:urllib3.connectionpool:Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f0f65b5f4f0>: Failed to establish a new connection: [Errno 111] Connection refused'))': /v1/completions
WARNING:root:OpenAIError: Error communicating with OpenAI: HTTPSConnectionPool(host='api.openai.com', port=443): Max retries exceeded with url: /v1/completions (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f0f65b5f460>: Failed to establish a new connection: [Errno 111] Connection refused'))).
WARNING:root:Hit request rate limit; retrying...

没GPU T_T

Hi, 非常感谢作者提供的数据集和模型。

这里提供一下模型的全局和Lora的微调脚本参考：https://github.com/feizc/MLE-LLaMA

File "/mnt1/wcp/BEELE/BELLE-main/generate_instruction.py", line 28, in
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
File "/home/appuser/miniconda3/envs/wcppy39/lib/python3.9/site-packages/transformers/models/auto/tokenization_auto.py", line 679, in from_pretrained
return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
File "/home/appuser/miniconda3/envs/wcppy39/lib/python3.9/site-packages/transformers/tokenization_utils_base.py", line 1804, in from_pretrained
return cls._from_pretrained(
File "/home/appuser/miniconda3/envs/wcppy39/lib/python3.9/site-packages/transformers/tokenization_utils_base.py", line 1958, in _from_pretrained
tokenizer = cls(*init_inputs, **init_kwargs)
File "/home/appuser/miniconda3/envs/wcppy39/lib/python3.9/site-packages/transformers/models/bloom/tokenization_bloom_fast.py", line 118, in init
super().init(
File "/home/appuser/miniconda3/envs/wcppy39/lib/python3.9/site-packages/transformers/tokenization_utils_fast.py", line 111, in init
fast_tokenizer = TokenizerFast.from_file(fast_tokenizer_file)
Exception: expected value at line 1 column 1

模型后期是否会开放，目前在huggingface上暂时没有看到权重文件

8张A100 80G， 够用吗

小白问个问题，ChatGLM和BELLE都是6~7B参数量，怎么ChatGLM权重不到14G，BELLE需要28G之多？

load_in_8bit=True之后体感上感觉推理变慢了

In the #26 it said that the finetuning script is from the stanford_alpaca. I want to ask a simple question:
What is the fsdp_transformer_layer_cls_to_wrap for bloom?

When I tried to fine tune with bloomz-7b1, the training stuck on 0%. And it's most likely because I dont set the right fsdp_transformer_layer_cls_to_wrap . But I cant find it in the bloom config.

Kindly need a help on this.
Thank you

The original bigscience/bloomz-7b1-mt model was released in half-precision (torch.HalfStorage), so its weight file is only 14.1 GB in size. I noticed that the current Belle weights are released intorch.FloatStorage, so the file size is twice the size of the foundation model.

Is it possible to publish a variant of Belle in half-precision? It would make it easier for everyone to try it out.