{"id":5716,"date":"2025-06-29T17:21:18","date_gmt":"2025-06-29T09:21:18","guid":{"rendered":"http:\/\/xinblog.ltd\/?p=5716"},"modified":"2025-06-30T18:16:05","modified_gmt":"2025-06-30T10:16:05","slug":"%e6%a8%a1%e5%9e%8b%e5%be%ae%e8%b0%832-%e5%88%a9%e7%94%a8sdk","status":"publish","type":"post","link":"http:\/\/xinblog.ltd\/?p=5716","title":{"rendered":"\u6a21\u578b\u5fae\u8c032 \u5229\u7528SDK"},"content":{"rendered":"

\u6a21\u578b\u5fae\u8c032 \u5229\u7528SDK\u5fae\u8c03\u6a21\u578b<\/p>\n

\u8fd9\u4e00\u6b21\u6211\u4eec\u8bb2\u8ff0\u5982\u4f55\u5fae\u8c03\u4e00\u4e2a\u4f5c\u6587\u6279\u6539\u5927\u6a21\u578b\uff0c\u901a\u8fc7\u5fae\u8c03\u5927\u6a21\u578b\uff0c\u8ba9\u5927\u6a21\u578b\u66f4\u52a0\u5408\u9002\u7684\u626e\u6f14\u4e00\u4e2a\u73ed\u4e3b\u4efb\u7684\u89d2\u8272\u3002<\/p>\n

\u90a3\u4e48\u672c\u7ae0\u5c31\u6cbf\u7740\uff0c\u521b\u5efaDataset\uff0c\u8c03\u7528\u6a21\u578b\u5fae\u8c03\uff0c\u6d4b\u8bd5\u8fd9\u6837\u7684\u51e0\u6b65\u8fdb\u884c\u8bb2\u89e3\u3002<\/p>\n

\u9996\u5148\u662f\u73af\u5883\u51c6\u5907\uff0c\u8fd9\u91cc\u56e0\u4e3a\u8981\u7528\u5230\u767e\u5ea6\u7684\u5343\u5e06ModelBuilder\u5e73\u53f0\uff0c \u9700\u8981\u51c6\u5907\u5bf9\u5e94\u7684AK\u548cSK\u3002<\/p>\n

\u4e4b\u540e\u6211\u4eec\u5148\u770b\u4e0b\u6ca1\u6709\u5fae\u8c03\u524d\u7684\u6a21\u578b\u8868\u73b0\u3002<\/p>\n

\u5bf9\u4e8e\u6ca1\u6709\u5fae\u8c03\u4e4b\u524d\u7684\u6a21\u578b\uff0c\u8868\u73b0\u7684\u597d\u574f\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53d6\u51b3\u4e8ePrompt\u7684\u4f18\u52a3\u3002<\/p>\n

\u90a3\u4e48\u5982\u4f55\u51c6\u5907\u4e00\u4e2a\u4f18\u8d28\u7684Prompt\u5c31\u662f\u6211\u4eec\u7684\u95ee\u9898\u4e86<\/p>\n

\u5982\u679c\u662f\u539f\u751f\u7684Prompt\uff0c\u90a3\u4e48\u8868\u73b0\u5f88\u4e0d\u597d<\/p>\n

prompt = Prompt(“\u8bf7\u5e2e\u6211\u6279\u6539\u5982\u4e0b\u9ad8\u8003\u4f5c\u6587\uff0c\u7ed9\u51fa\u8bc4\u4ef7\u548c\u8bc4\u5206\uff080-60\u5206\uff09\uff1a\\n\u9898\u76ee\uff1a{question}\\n\u4f5c\u6587\u5185\u5bb9\uff1a{article}”)<\/p>\n

\u4e4b\u540e\u6211\u4eec\u53ef\u4ee5\u81ea\u6211\u5199\u4e00\u7248\u4f18\u5316\u7684Prompt<\/p>\n

optimized_prompt = Prompt(“””\u60a8\u9700\u8981\u5e2e\u52a9\u6279\u6539\u4e00\u7bc7\u9ad8\u8003\u4f5c\u6587\uff0c\u8bf7\u6839\u636e\u4ee5\u4e0b\u8981\u6c42\u7ed9\u51fa\u8bc4\u4ef7\u548c\u8bc4\u5206\uff080-60\u5206\uff09\uff1a<\/p>\n

\u9898\u76ee\uff1a{question}<\/p>\n

\u4f5c\u6587\u5185\u5bb9\uff1a{article}<\/p>\n

\u8bf7\u6ce8\u610f\uff0c\u60a8\u7684\u6279\u6539\u5e94\u8be5\u5305\u62ec\u4ee5\u4e0b\u65b9\u9762\uff1a<\/p>\n

1. \u5224\u65ad\u4f5c\u6587\u7684\u4e3b\u9898\u548c\u76ee\u7684\uff1b<\/p>\n

2. \u5206\u6790\u4f5c\u6587\u7684\u7ed3\u6784\u548c\u903b\u8f91\uff1b<\/p>\n

3. \u8bc4\u4f30\u4f5c\u6587\u7684\u8bed\u8a00\u548c\u8868\u8fbe\uff1b<\/p>\n

4. \u68c0\u67e5\u4f5c\u6587\u7684\u62fc\u5199\u548c\u8bed\u6cd5\uff1b<\/p>\n

5. \u7efc\u5408\u8bc4\u4ef7\u4f5c\u6587\u7684\u4f18\u7f3a\u70b9\u3002<\/p>\n

\u8bf7\u5728\u56de\u7b54\u4e2d\u63d0\u4f9b\u8be6\u7ec6\u7684\u89e3\u91ca\u548c\u8bf4\u660e\uff0c\u4ee5\u5e2e\u52a9\u4f5c\u8005\u4e86\u89e3\u60a8\u7684\u6279\u6539\u548c\u6539\u8fdb\u5efa\u8bae\u3002\u540c\u65f6\uff0c\u8bf7\u6ce8\u610f\u63d0\u4f9b\u6b63\u9762\u7684\u53cd\u9988\u548c\u6307\u5bfc\uff0c\u4ee5\u6fc0\u52b1\u4f5c\u8005\u7ee7\u7eed\u6539\u8fdb\u548c\u63d0\u9ad8\u4f5c\u6587\u6c34\u5e73\u3002<\/p>\n

“””)<\/p>\n

\u4ee5\u53ca\u5c1d\u8bd5\u4f7f\u7528\u4e00\u4e9bPrompt\u4f18\u5316\u6846\u67b6\uff0c\u8bf8\u5982CRISPE\uff0c\u4e00\u4e2a\u901a\u7528\u7684prompt\u4f18\u5316\u6846\u67b6<\/p>\n

\u5176\u4e2d<\/p>\n

CR \u8868\u793a\u7ed9\u6a21\u578b\u8bbe\u5b9a\u7684\u4eba\u8bbe<\/p>\n

I\u8868\u793a\u80cc\u666f\u548c\u4e0a\u4e0b\u6587<\/p>\n

S \u8868\u793a\u5177\u4f53\u7684\u4efb\u52a1<\/p>\n

P \u8868\u793a\u8f93\u51fa\u5185\u5bb9\u7684\u98ce\u683c<\/p>\n

E \u9650\u5236\u6761\u4ef6<\/p>\n

essay_rule = “””<\/p>\n

\u9ad8\u8003\u4f5c\u6587\u8bc4\u5206\u6279\u6539\u5206\u4e3a\u57fa\u7840\u7b49\u7ea7\u3001\u53d1\u5c55\u7b49\u7ea7\u3001\u5173\u4e8e\u4f5c\u6587\u7684\u5176\u4ed6\u9879\u8bc4\u5b9a<\/p>\n

1\u3001\u57fa\u7840\u7b49\u7ea7<\/p>\n

\u57fa\u7840\u7b49\u7ea7\u5206\u5185\u5bb9\u548c\u8868\u8fbe\u4e24\u9879\u3002<\/p>\n

1\uff09\u5185\u5bb9\u9879<\/p>\n

\u5177\u4f53\u8bc4\u5206\u89c4\u5219\u5982\u4e0b\uff1a\u7b26\u5408\u9898\u610f\u3001\u4e2d\u5fc3\u7a81\u51fa\u3001\u5185\u5bb9\u5145\u5b9e\u3001\u601d\u60f3\u5065\u5eb7\u3001\u611f\u60c5\u771f\u631a\u4e3a\u4e00\u7b49\uff0c\u53ef\u630916-20\u5206\u914c\u60c5\u7ed9\u5206\uff1b\u7b26\u5408\u9898\u610f\u3001\u4e3b\u9898\u660e\u786e\u3001\u5185\u5bb9\u8f83\u5145\u5b9e\u3001\u601d\u60f3\u5065\u5eb7\u3001\u611f\u60c5\u771f\u5b9e\u4e3a\u4e8c\u7b49\uff0c\u53ef\u630911-15\u5206\u914c\u60c5\u7ed9\u5206\uff1b\u57fa\u672c\u7b26\u5408\u9898\u610f\u3001\u4e2d\u5fc3\u57fa\u672c\u660e\u786e\u3001\u5185\u5bb9\u5355\u8584\u3001\u601d\u60f3\u57fa\u672c\u5065\u5eb7\u3001\u611f\u60c5\u57fa\u672c\u771f\u5b9e\u4e3a\u4e09\u7b49\uff0c\u53ef\u63096-10\u5206\u914c\u60c5\u7ed9\u5206\uff1b\u504f\u79bb\u9898\u610f\u3001\u4e2d\u5fc3\u4e0d\u660e\u786e\u3001\u5185\u5bb9\u4e0d\u5f53\u3001\u601d\u60f3\u4e0d\u5065\u5eb7\u3001\u611f\u60c5\u865a\u5047\u4e3a\u56db\u7b49\uff0c\u53ef\u63090-5\u5206\u914c\u60c5\u7ed9\u5206\u3002<\/p>\n

2\uff09\u8868\u8fbe\u9879<\/p>\n

\u5177\u4f53\u8bc4\u5206\u89c4\u5219\u5982\u4e0b\uff1a\u7b26\u5408\u6587\u4f53\u8981\u6c42\u3001\u7ed3\u6784\u4e25\u8c28\u3001\u8bed\u8a00\u6d41\u7545\u3001\u5b57\u8ff9\u5de5\u6574\u4e3a\u4e00\u7b49\uff0c\u53ef\u630916-20\u5206\u914c\u60c5\u7ed9\u5206\uff1b\u7b26\u5408\u6587\u4f53\u8981\u6c42\u3001\u7ed3\u6784\u5b8c\u6574\u3001\u8bed\u8a00\u901a\u987a\u3001\u5b57\u8ff9\u6e05\u695a\u4e3a\u4e8c\u7b49\uff0c\u53ef\u630911-15\u5206\u914c\u60c5\u7ed9\u5206\uff1b\u57fa\u672c\u7b26\u5408\u6587\u4f53\u8981\u6c42\u3001\u7ed3\u6784\u57fa\u672c\u5b8c\u6574\u3001\u8bed\u8a00\u57fa\u672c\u901a\u987a\u3001\u5b57\u8ff9\u57fa\u672c\u6e05\u695a\u4e3a\u4e09\u7b49\uff0c\u53ef\u63096-10\u5206\u914c\u60c5\u7ed9\u5206\uff1b\u4e0d\u7b26\u5408\u6587\u4f53\u8981\u6c42\u3001\u7ed3\u6784\u6df7\u4e71\u3001\u8bed\u8a00\u4e0d\u901a\u987a\u8bed\u75c5\u591a\u3001\u5b57\u8ff9\u6f66\u8349\u96be\u8fa8\u4e3a\u56db\u7b49\uff0c\u53ef\u63090-5\u5206\u914c\u60c5\u7ed9\u5206\u3002<\/p>\n

2\u3001\u53d1\u5c55\u7b49\u7ea7<\/p>\n

\u57fa\u7840\u7b49\u7ea7\u5206\u8981\u4e0e\u53d1\u5c55\u7b49\u7ea7\u5206\u76f8\u5339\u914d\uff0c\u53d1\u5c55\u7b49\u7ea7\u5206\u4e0d\u80fd\u8de8\u8d8a\u57fa\u7840\u7b49\u7ea7\u7684\u5f97\u5206\u7b49\u7ea7\u3002<\/p>\n

\u5177\u4f53\u8bc4\u5206\u89c4\u5219\u5982\u4e0b\uff1a\u6df1\u523b\u3001\u4e30\u5bcc\u3001\u6709\u6587\u91c7\u3001\u6709\u521b\u610f\u4e3a\u4e00\u7b49\uff0c\u53ef\u630916-20\u5206\u914c\u60c5\u7ed9\u5206\uff1b\u8f83\u6df1\u523b\u3001\u8f83\u4e30\u5bcc\u3001\u8f83\u6709\u6587\u91c7\u3001\u8f83\u6709\u521b\u610f\u4e3a\u4e8c\u7b49\uff0c\u53ef\u630911-15\u5206\u914c\u60c5\u7ed9\u5206\uff1b\u7565\u663e\u6df1\u523b\u3001\u7565\u663e\u4e30\u5bcc\u3001\u7565\u663e\u6587\u91c7\u3001\u7565\u663e\u521b\u610f\u4e3a\u4e09\u7b49\uff0c\u53ef\u63096-10\u5206\u914c\u60c5\u7ed9\u5206\uff1b\u4e2a\u522b\u8bed\u53e5\u6709\u6df1\u610f\u3001\u4e2a\u522b\u4f8b\u5b50\u8f83\u597d\u3001\u4e2a\u522b\u8bed\u53e5\u8f83\u7cbe\u5f69\u3001\u4e2a\u522b\u5730\u65b9\u6709\u6df1\u610f\u4e3a\u56db\u7b49\uff0c\u53ef\u63090-5\u5206\u914c\u60c5\u7ed9\u5206\u3002<\/p>\n

3\u3001\u5173\u4e8e\u4f5c\u6587\u7684\u5176\u4ed6\u9879\u8bc4\u5b9a<\/p>\n

1\uff09\u6263\u5206\u9879\u8bc4\u5b9a<\/p>\n

\u51fa\u73b0\u9519\u522b\u5b57\uff0c1\u4e2a\u9519\u522b\u5b57\u62631\u5206\uff0c\u91cd\u590d\u4e0d\u8ba1\uff0c\u6263\u5b8c5\u5206\u4e3a\u6b62;\u6807\u70b9\u7b26\u53f7\u51fa\u73b03\u5904\u4ee5\u4e0a\u9519\u8bef\u7684\u914c\u60c5\u6263\u5206;\u4e0d\u8db3\u5b57\u6570\u8005\uff0c\u6bcf\u5c1150\u5b57\u62631\u5206;\u65e0\u6807\u9898\u62632\u5206\u3002<\/p>\n

2\uff09\u6b8b\u7bc7\u8bc4\u5b9a<\/p>\n

400\u5b57\u4ee5\u4e0a\u7684\u6587\u7ae0\uff0c\u6309\u8bc4\u5206\u6807\u51c6\u8bc4\u5206\uff0c\u6263\u5b57\u6570\u5206\u3002(\u5c1150\u4e2a\u5b57\u62631\u5206)<\/p>\n

400\u5b57\u4ee5\u4e0b\u7684\u6587\u7ae0\uff0c20\u5206\u4ee5\u4e0b\u8bc4\u5206\uff0c\u4e0d\u518d\u6263\u5b57\u6570\u5206\u3002<\/p>\n

200\u5b57\u4ee5\u4e0b\u7684\u6587\u7ae0\uff0c10\u5206\u4ee5\u4e0b\u8bc4\u5206\uff0c\u4e0d\u518d\u6263\u5b57\u6570\u5206\u3002<\/p>\n

\u53ea\u5199\u4e00\u4e24\u53e5\u8bdd\u7684\uff0c\u7ed91\u5206\u62162\u5206\uff0c\u4e0d\u8bc40\u5206\u3002<\/p>\n

\u53ea\u5199\u6807\u9898\u7684\uff0c\u7ed91\u5206\u62162\u5206\uff0c\u4e0d\u8bc40\u5206\u3002<\/p>\n

\u5b8c\u5168\u7a7a\u767d\u7684\uff0c\u8bc40\u5206.<\/p>\n

“””<\/p>\n

\u53ea\u8981Prompt\u4f18\u5316\u7684\u8db3\u591f\u597d\uff0c\u90a3\u4e48\u7406\u8bba\u4e0a\u662f\u53ef\u4ee5\u5f25\u8865\u4e00\u4e9b\u6a21\u578b\u4e0a\u7684\u5dee\u8ddd\uff0c\u4f46\u662f\u6700\u6838\u5fc3\u7684\u8fd8\u662f\u6a21\u578b\u81ea\u8eab\u80fd\u529b\u3002<\/p>\n

\u90a3\u4e48\u6211\u4eec\u56de\u5f52\u5230\u6a21\u578b\u672c\u8eab\u7684\u5fae\u8c03\u4e0a<\/p>\n

\u6211\u4eec\u9700\u8981\u5728\u73b0\u6709\u7684\u79cd\u5b50\u6570\u636e\u4e0a\u8fdb\u884cself-Instruct<\/p>\n

\u73b0\u6709\u7684\u79cd\u5b50\u6570\u636e\u96c6\u4e2d\u4e00\u5171\u6709146\u7bc7\u6570\u636e\u3002<\/p>\n

\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u5229\u7528\u4e0d\u540c\u7684\u5927\u6a21\u578b\u642d\u914d\u4e0d\u540c\u7684Prompt\uff0c\u8fdb\u884c\u65b0\u6570\u636e\u7684\u751f\u6210\u3002<\/p>\n

\u5e76\u5229\u7528\u4eba\u5de5\u5bf9\u751f\u6210\u7684\u6570\u636e\u8fdb\u884c\u8fc7\u6ee4\u3002<\/p>\n

\u4e4b\u540e\u5c31\u662f\u5229\u7528\u8fd9\u4e9b\u51c6\u5907\u597d\u7684\u6570\u636e\u96c6<\/p>\n

\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3<\/p>\n\n\n\n
from qianfan.trainer import Finetune<\/p>\n

from qianfan.trainer.configs import TrainConfig<\/p>\n

from qianfan.trainer.consts import PeftType<\/p>\n

enable_log(logging.INFO)<\/p>\n

# \u58f0\u660eTrainer\uff0c\u914d\u7f6e\u6a21\u578b\u548c\u8d85\u53c2<\/p>\n

# \u4e5f\u53ef\u4ee5\u589e\u52a0evaluation\uff0cdeploy\u76f8\u5173\u53c2\u6570\uff0c\u901a\u8fc7trainer\u4e00\u6b65\u5b8c\u6210\u8bad\u7ec3\uff0c\u8bc4\u4f30\uff0c\u53d1\u5e03\uff0c\u90e8\u7f72\uff1a<\/p>\n

trainer = Finetune(<\/p>\n

name=”essay_sft_0510″,<\/p>\n

train_type=”ERNIE-Speed-8K”,<\/p>\n

train_config=TrainConfig(<\/p>\n

peft_type=PeftType.ALL,<\/p>\n

epoch=10,<\/p>\n

learning_rate=0.00003,<\/p>\n

max_seq_len=4096,<\/p>\n

save_step=64,<\/p>\n

checkpoint_count=5,<\/p>\n

),<\/p>\n

dataset=qf_train_ds,<\/p>\n

# \u00a0 \u00a0eval_ds=eval_ds,<\/p>\n

# \u00a0 \u00a0evaluators=[local_evalutor],<\/p>\n

# \u00a0 \u00a0deploy_config=DeployConfig(<\/p>\n

# \u00a0 \u00a0 \u00a0 \u00a0name=”essay_correct”,<\/p>\n

# \u00a0 \u00a0 \u00a0 \u00a0endpoint_prefix=”essaycor”,<\/p>\n

# \u00a0 \u00a0 \u00a0 \u00a0replicas=1,<\/p>\n

# \u00a0 \u00a0 \u00a0 \u00a0pool_type=DeployPoolType.PrivateResource,<\/p>\n

# \u00a0 \u00a0 \u00a0 \u00a0service_type=ServiceType.Chat,<\/p>\n

# \u00a0 \u00a0)<\/p>\n

)<\/p>\n

trainer.start()<\/p>\n

trainer.save(“data\/essay_sft_0510_train_meta”)<\/p>\n

trainer.info()<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u8fdb\u884c\u8bad\u7ec3\u5e76\u4fdd\u5b58<\/p>\n

\u4e4b\u540e\u8fdb\u884c\u6a21\u578b\u7684\u90e8\u7f72<\/p>\n\n\n\n
from qianfan.model import Service, DeployConfig<\/p>\n

from qianfan.model.consts import ServiceType<\/p>\n

from qianfan.resources.console.consts import DeployPoolType<\/p>\n

import logging<\/p>\n

from qianfan.utils import enable_log<\/p>\n

enable_log(logging.INFO)<\/p>\n

sft_svc: Service = m.deploy(DeployConfig(<\/p>\n

name=”essay_sft_0513″,<\/p>\n

endpoint_prefix=”essaysft0513″,<\/p>\n

replicas=1,<\/p>\n

pool_type=DeployPoolType.PrivateResource,<\/p>\n

service_type=ServiceType.Chat,<\/p>\n

))<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

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