使用Vertex AI调优模型时遇Internal error及DATA_FETCHING_EXCEPTION问题

操作背景与问题 #

已按照官方教程使用Vertex AI - Language的模型调优功能尝试调优模型一周，遇到以下情况：

• 使用教程提供的示例JSONL数据：

{"input_text": "question: How many people live in Beijing? context: With over 21 million residents, Beijing is the world's most populous national capital city and is China's second largest city after Shanghai. It is located in Northern China, and is governed as a municipality under the direct administration of the State Council with 16 urban, suburban, and rural districts.[14] Beijing is mostly surrounded by Hebei Province with the exception of neighboring Tianjin to the southeast; together, the three divisions form the Jingjinji megalopolis and the national capital region of China.", "output_text": "over 21 million people"}
{"input_text": "question: How many parishes are there in Louisiana? context: The U.S. state of Louisiana is divided into 64 parishes (French: paroisses) in the same manner that 48 other states of the United States are divided into counties, and Alaska is divided into boroughs.", "output_text": "64"}

• 每次点击「START TUNING」按钮，都会收到「Internal error encountered」提示
• 已查看Chrome中Ajax请求的响应内容，但无法定位解决方法
• 不确定是自身操作存在错误，还是Vertex AI服务当前无法正常运行

请求详情 #

• 请求方法：POST
• 请求URL：https://cloudconsole-pa.clients6.google.com/v3/entityServices/AiplatformEntityService/schemas/AIPLATFORM_GRAPHQL:graphql?key=#####g&prettyPrint=false
• 状态码：200
• 远程地址：212.115.105.72:443
• 引用策略：strict-origin-when-cross-origin

响应内容 #

响应JSON内容：

[
    {
        "data": {
            "ui": {
                "promptTuningDataValidation": null
            }
        },
        "errors": [
            {
                "message": "Internal error encountered.",
                "errorType": "DATA_FETCHING_EXCEPTION",
                "path": [
                    "ui",
                    "promptTuningDataValidation"
                ],
                "extensions": {
                    "status": {
                        "code": 13,
                        "message": "Internal error encountered."
                    }
                }
            }
        ],
        "path": [],
        "responseContext": {
            "eti": "AbmU+mq7y+LD3sXIvd0HiJ+o6+rTDYPJo/GpJvIKfhY05IvVdmxDqC42CN5gVLencEHr5W98Cj96m3Z+Hp98PScM2ITzs2rhvw1/hwP4N895kcTpJ2m1maUYnhvirPihskmaTvYX7ViruJVckQbxU9oAKrp4JgHQuGNkKLz9jTia61w3aA=="
        }
    },
    {
        "responseContext": {
            "eti": "AbmU+mqW/vpr54v4wP5AMw5cSKpYa6FCtZ+QFyPsEw3dj6C1PHPD8lXZF1lXltj5q8l8VuJ0ZO3dvVwMUG+b80GE5/Fwg3CK0BkRnlXtjciIvJn/AJfhrH4JVwQSjMcZs8RV+f648xiVPqRltAH2OK/CPAX+1C6e/EeVXl7MY2N94OI0TXv985NiQ3EB2KRAFapTdJTqTTvwIuvNXBNYBW/BJQEJAhq71JBhe4BYQ82cQh36zFYgN4asA5Uqo68Kn6Gy7sdmf/EU6zhNe9S9k4GJ1wI04MaSPZIBlwWp+Q=="
        }
    }
]

内容的提问来源于stack exchange，提问作者Mohit Arvind khakharia