The model did not return a valid JSON object

Hello,

While i am using hugging face model "TheBloke/Llama-2-7b-chat-fp16", i am facing the below error:

Note: I have used llmx to load the lida.

textgen_config = TextGenerationConfig(n=1, temperature=0.5, model="TheBloke/Llama-2-7b-chat-fp16", use_cache=True)

summary = lida.summarize("https://raw.githubusercontent.com/uwdata/draco/master/data/cars.csv", summary_method="default", textgen_config=textgen_config)
goals = lida.goals(summary, n=1, textgen_config=textgen_config) print(goals)

Error decoding JSON: CHAP 1: Distribution of Engine Size 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JSONDecodeError Traceback (most recent call last) File ~.conda\envs\hack\Lib\site-packages\lida\components\goal.py:43, in GoalExplorer.generate(self, summary, textgen_config, text_gen, n) 42 json_string = clean_code_snippet(result.text[0]["content"]) ---> 43 result = json.loads(json_string) 44 # cast each item in the list to a Goal object

File ~.conda\envs\hack\Lib\json__init__.py:346, in loads(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw) 343 if (cls is None and object_hook is None and 344 parse_int is None and parse_float is None and 345 parse_constant is None and object_pairs_hook is None and not kw): --> 346 return _default_decoder.decode(s) 347 if cls is None:

File ~.conda\envs\hack\Lib\json\decoder.py:337, in JSONDecoder.decode(self, s, _w) 333 """Return the Python representation of s (a str instance 334 containing a JSON document). 335 336 """ --> 337 obj, end = self.raw_decode(s, idx=_w(s, 0).end()) 338 end = _w(s, end).end()

File ~.conda\envs\hack\Lib\json\decoder.py:355, in JSONDecoder.raw_decode(self, s, idx) 354 except StopIteration as err: --> 355 raise JSONDecodeError("Expecting value", s, err.value) from None 356 return obj, end

JSONDecodeError: Expecting value: line 1 column 1 (char 0)

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last) Cell In[6], line 5 2 textgen_config = TextGenerationConfig(n=1, temperature=0.5, model="TheBloke/Llama-2-7b-chat-fp16", use_cache=True) 4 summary = lida.summarize("https://raw.githubusercontent.com/uwdata/draco/master/data/cars.csv", summary_method="default", textgen_config=textgen_config)
----> 5 goals = lida.goals(summary, n=1, textgen_config=textgen_config) 6 print(goals)

File ~.conda\envs\hack\Lib\site-packages\lida\components\manager.py:82, in Manager.goals(self, summary, textgen_config, n) 77 def goals( 78 self, summary, textgen_config: TextGenerationConfig = TextGenerationConfig(), 79 n=5): 80 self.check_textgen(config=textgen_config) ---> 82 return self.goal.generate(summary=summary, text_gen=self.text_gen, 83 textgen_config=textgen_config, n=n)

File ~.conda\envs\hack\Lib\site-packages\lida\components\goal.py:51, in GoalExplorer.generate(self, summary, textgen_config, text_gen, n) 49 logger.info(f"Error decoding JSON: {result.text[0]['content']}") 50 print(f"Error decoding JSON: {result.text[0]['content']}") ---> 51 raise ValueError( 52 "The model did not return a valid JSON object while attempting generate goals. Please try again.") 53 return result

ValueError: The model did not return a valid JSON object while attempting generate goals. Please try again.

Can you please help me with the issue? or if you have any sample code that uses the same dataset with hugging face, please do post.

I checked in goal.py the value didnt return a json object, even the model is loaded perfected, please check the below screenshot for your reference.

loading (…)of-00002.safetensors: 99%|███████████████████████████████████████▋| 3.47G/3.50G [01:16<00:00, 46.8MB/s] Downloading (…)of-00002.safetensors: 99%|███████████████████████████████████████▊| 3.48G/3.50G [01:16<00:00, 46.0MB/s] Downloading (…)of-00002.safetensors: 100%|███████████████████████████████████████▉| 3.49G/3.50G [01:16<00:00, 47.5MB/s] Downloading (…)of-00002.safetensors: 100%|████████████████████████████████████████| 3.50G/3.50G [01:16<00:00, 45.6MB/s] Downloading shards: 100%|███████████████████████████████████████████████████████████████| 2/2 [04:56<00:00, 148.13s/it] Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 2/2 [00:04<00:00, 2.03s/it] Downloading (…)neration_config.json: 100%|████████████████████████████████████████████████████| 167/167 [00:00<?, ?B/s]

你好

当我使用拥抱脸模型“TheBloke/Llama-2-7b-chat-fp16”时，我面临以下错误：

注意：我已经使用 llmx 加载了 lida。

textgen_config = TextGenerationConfig（n=1， temperature=0.5， model=“TheBloke/Llama-2-7b-chat-fp16”， use_cache=True）

摘要 = lida.summarize（“https://raw.githubusercontent.com/uwdata/draco/master/data/cars.csv”， summary_method=“默认”， textgen_config=textgen_config）目标 = lida.goals（summary， n=1， textgen_config=textgen_config）打印（目标）

解码 JSON 时出错：第 1 章：引擎大小

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----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------près JSONDecodeError Traceback（最近一次调用）文件 ~.conda\envs\hack\Lib\site-packages\lida\components\goal.py:43， in GoalExplorer.generate（self， summary， textgen_config， text_gen， n） 42 json_string = clean_code_snippet（result.text[0][“content”]） ---> 43 result = json.loads（json_string） 44 # 将列表中的每个项目强制转换为 Goal 对象

文件 ~.conda\envs\hack\Lib\jsoninit.py：346，在 loads（s， cls， object_hook， parse_float， parse_int， parse_constant， object_pairs_hook， **kw） 343 if （cls 为 None object_hook为 None 和 344 parse_int 为 None 且 parse_float 为 None 和 345 parse_constant 为 None 且 object_pairs_hook 为 None 且不是 kw）： --> 如果 cls 为 None，则返回 _default_decoder.decode（s） 346：

File ~.conda\envs\hack\Lib\json\decoder.py:337， in JSONDecoder.decode（self， s， _w） 333 “”“返回 Python 表示形式（包含 JSON 文档的实例 334）。 335 336 “”“ --> 337 obj， end = self.raw_decode（s， idx=_w（s， 0）.end（）） 338 end = _w（s， end）.end（）s``str

文件 ~.conda\envs\hack\Lib\json\decoder.py:355， in JSONDecoder.raw_decode（self， s， idx） 354 除了 StopIteration 作为 err： --> 355 从 None 引发 JSONDecodeError（“Expecting value”， s， err.value） 356 返回 obj， end

JSONDecodeError：预期值：第 1 行第 1 列（字符 0）

在处理上述异常期间，发生了另一个异常：

ValueError 回溯（最近一次调用） Cell In[6]，第 5 行 2 textgen_config = TextGenerationConfig（n=1， temperature=0.5， model=“TheBloke/Llama-2-7b-chat-fp16”， use_cache=True） 4 summary = lida.summarize（“https://raw.githubusercontent.com/uwdata/draco/master/data/cars.csv”， summary_method=“default”， textgen_config=textgen_config） ----> 5 个进球 = lida.goals（summary， n=1， textgen_config=textgen_config） 6打印（目标）

文件 ~.conda\envs\hack\Lib\site-packages\lida\components\manager.py:82， in Manager.goals（self， summary， textgen_config， n） 77 def goals（ 78 self， summary， textgen_config： TextGenerationConfig = TextGenerationConfig（）， 79 n=5）： 80 self.check_textgen（config=textgen_config） ---> 82 return self.goal.generate（summary=summary， text_gen=self.text_gen， 83 textgen_config=textgen_config， n=n）

File ~.conda\envs\hack\Lib\site-packages\lida\components\goal.py:51， in GoalExplorer.generate（self， summary， textgen_config， text_gen， n） 49 logger.info（f“Error decoding JSON： {result.text[0]['content']}”） 50 print（f“Error decoding JSON： {result.text[0]['content']}”） ---> 51 引发 ValueError（ 52 “模型在尝试生成目标时未返回有效的 JSON 对象。请再试一次。 53 返回结果

值错误：模型在尝试生成目标时未返回有效的 JSON 对象。请重试。

你能帮我解决这个问题吗？或者，如果您有任何使用具有拥抱面孔的相同数据集的示例代码，请发布。

我签入 goal.py 该值没有返回json对象，即使模型加载完美，请检查下面的屏幕截图供您参考。

加载中（...of-00002.安全张量： 99%|██████████████████████████████████████████████▋|3.47G/3.50G [01：16<00：00， 46.8MB/秒] 正在下载of-00002.安全张量： 99%|████████████████████████████████████████████▊|3.48G/3.50G [01：16<00：00， 46.0MB/秒] 正在下载OF-00002.安全张量：100%|███████████████████████████████████████████████▉|3.49G/3.50G [01：16<00：00， 47.5MB/秒] 正在下载of-00002.安全张量： 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████3.50G/3.50G [01：16<00：00， 45.6MB/秒] 下载分片： 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████2/2 [04：56<00：00， 148.13秒/它] 加载检查点分片：100%|███████████████████████████████████████████████████████████████████████████████████████████|2/2 [00：04<00：00， 2.03秒/它] 正在下载（...neration_config.json： 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████�167/167 [00：00<?, ?B/s]

请问您解决了吗这个问题

microsoft / lida

The model did not return a valid JSON object #27

解码 JSON 时出错：第 1 章：引擎大小