# Need help setting up autotrain locally
**URL:**
**Author:**  [@sirdug](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fsirdug)%5C
**Post date:** [April 28, 2024, 10:42pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fneed-help-setting-up-autotrain-locally%2F84225%2F1 "2024-04-28T22:42:04Z")
I need help setting up autotrain locally it feels like anything I try just gets me a new error. I’ve tried to get Chatgpt’s wisdom to help but it just digges me in a hole. I will have the latest logs from my server linked If anybody can help it would be great.
```auto
qpu', 'data_path': 'math_dataset', 'train_split': 'train', 'valid_split': None, 'add_eos_token': True, 'block_size': 1024, 'model_max_length': 2048, 'padding': 'right', 'trainer': 'sft', 'use_flash_attention_2': False, 'log': 'tensorboard', 'disable_gradient_checkpointing': False, 'logging_steps': -1, 'evaluation_strategy': 'epoch', 'save_total_limit': 1, 'auto_find_batch_size': False, 'mixed_precision': 'fp16', 'lr': 3e-05, 'epochs': 3, 'batch_size': 2, 'warmup_ratio': 0.1, 'gradient_accumulation': 4, 'optimizer': 'adamw_torch', 'scheduler': 'linear', 'weight_decay': 0.0, 'max_grad_norm': 1.0, 'seed': 42, 'chat_template': 'none', 'quantization': 'int4', 'target_modules': 'all-linear', 'merge_adapter': False, 'peft': True, 'lora_r': 16, 'lora_alpha': 32, 'lora_dropout': 0.05, 'model_ref': None, 'dpo_beta': 0.1, 'max_prompt_length': 128, 'max_completion_length': None, 'prompt_text_column': 'prompt', 'text_column': 'text', 'rejected_text_column': 'rejected_text', 'push_to_hub': True, 'username': 'sirdug', 'token': ' *****'}
INFO | 2024-04-28 22:17:50 | autotrain.backend:create:297 - Training PID: 41966
The following values were not passed to `accelerate launch` and had defaults used instead:
`--dynamo_backend` was set to a value of `'no'`
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
ERROR | 2024-04-28 22:17:57 | autotrain.trainers.common:wrapper:120 - train has failed due to an exception: Traceback (most recent call last):
File "/home/sirdug/myenv/lib/python3.12/site-packages/autotrain/trainers/common.py", line 117, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/sirdug/myenv/lib/python3.12/site-packages/autotrain/trainers/clm/ __main__.py", line 134, in train
train_data, valid_data = process_input_data(config)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/sirdug/myenv/lib/python3.12/site-packages/autotrain/trainers/clm/ __main__.py", line 80, in process_input_data
train_data = load_dataset(
^^^^^^^^^^^^^
File "/home/sirdug/myenv/lib/python3.12/site-packages/datasets/load.py", line 2587, in load_dataset
builder_instance = load_dataset_builder(
^^^^^^^^^^^^^^^^^^^^^
File "/home/sirdug/myenv/lib/python3.12/site-packages/datasets/load.py", line 2296, in load_dataset_builder
builder_instance: DatasetBuilder = builder_cls(
^^^^^^^^^^^^
File "/home/sirdug/myenv/lib/python3.12/site-packages/datasets/builder.py", line 374, in __init__
self.config, self.config_id = self._create_builder_config(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/sirdug/myenv/lib/python3.12/site-packages/datasets/builder.py", line 584, in _create_builder_config
raise ValueError(
ValueError: Config name is missing.
Please pick one among the available configs: ['algebra __linear_1d', 'algebra__ linear_1d_composed', 'algebra __linear_2d', 'algebra__ linear_2d_composed', 'algebra __polynomial_roots', 'algebra__ polynomial_roots_composed', 'algebra __sequence_next_term', 'algebra__ sequence_nth_term', 'arithmetic __add_or_sub', 'arithmetic__ add_or_sub_in_base', 'arithmetic __add_sub_multiple', 'arithmetic__ div', 'arithmetic __mixed', 'arithmetic__ mul', 'arithmetic __mul_div_multiple', 'arithmetic__ nearest_integer_root', 'arithmetic __simplify_surd', 'calculus__ differentiate', 'calculus __differentiate_composed', 'comparison__ closest', 'comparison __closest_composed', 'comparison__ kth_biggest', 'comparison __kth_biggest_composed', 'comparison__ pair', 'comparison __pair_composed', 'comparison__ sort', 'comparison __sort_composed', 'measurement__ conversion', 'measurement __time', 'numbers__ base_conversion', 'numbers __div_remainder', 'numbers__ div_remainder_composed', 'numbers __gcd', 'numbers__ gcd_composed', 'numbers __is_factor', 'numbers__ is_factor_composed', 'numbers __is_prime', 'numbers__ is_prime_composed', 'numbers __lcm', 'numbers__ lcm_composed', 'numbers __list_prime_factors', 'numbers__ list_prime_factors_composed', 'numbers __place_value', 'numbers__ place_value_composed', 'numbers __round_number', 'numbers__ round_number_composed', 'polynomials __add', 'polynomials__ coefficient_named', 'polynomials __collect', 'polynomials__ compose', 'polynomials __evaluate', 'polynomials__ evaluate_composed', 'polynomials __expand', 'polynomials__ simplify_power', 'probability __swr_p_level_set', 'probability__ swr_p_sequence']
Example of usage:
`load_dataset('math_dataset', 'algebra__linear_1d')`
ERROR | 2024-04-28 22:17:57 | autotrain.trainers.common:wrapper:121 - Config name is missing.
Please pick one among the available configs: ['algebra __linear_1d', 'algebra__ linear_1d_composed', 'algebra __linear_2d', 'algebra__ linear_2d_composed', 'algebra __polynomial_roots', 'algebra__ polynomial_roots_composed', 'algebra __sequence_next_term', 'algebra__ sequence_nth_term', 'arithmetic __add_or_sub', 'arithmetic__ add_or_sub_in_base', 'arithmetic __add_sub_multiple', 'arithmetic__ div', 'arithmetic __mixed', 'arithmetic__ mul', 'arithmetic __mul_div_multiple', 'arithmetic__ nearest_integer_root', 'arithmetic __simplify_surd', 'calculus__ differentiate', 'calculus __differentiate_composed', 'comparison__ closest', 'comparison __closest_composed', 'comparison__ kth_biggest', 'comparison __kth_biggest_composed', 'comparison__ pair', 'comparison __pair_composed', 'comparison__ sort', 'comparison __sort_composed', 'measurement__ conversion', 'measurement __time', 'numbers__ base_conversion', 'numbers __div_remainder', 'numbers__ div_remainder_composed', 'numbers __gcd', 'numbers__ gcd_composed', 'numbers __is_factor', 'numbers__ is_factor_composed', 'numbers __is_prime', 'numbers__ is_prime_composed', 'numbers __lcm', 'numbers__ lcm_composed', 'numbers __list_prime_factors', 'numbers__ list_prime_factors_composed', 'numbers __place_value', 'numbers__ place_value_composed', 'numbers __round_number', 'numbers__ round_number_composed', 'polynomials __add', 'polynomials__ coefficient_named', 'polynomials __collect', 'polynomials__ compose', 'polynomials __evaluate', 'polynomials__ evaluate_composed', 'polynomials __expand', 'polynomials__ simplify_power', 'probability __swr_p_level_set', 'probability__ swr_p_sequence']
Example of usage:
`load_dataset('math_dataset', 'algebra__linear_1d')`
INFO | 2024-04-28 22:18:06 | autotrain.app_utils:get_running_jobs:28 - Killing PID: 41966
^CWARNING | 2024-04-28 22:25:12 | autotrain.cli.run_app:run:110 - Attempting to terminate the process...
INFO | 2024-04-28 22:25:12 | autotrain.cli.run_app:run:114 - Process terminated by user
```
---
**Author:**  [@Aryan-401](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FAryan-401)%5C
**Post date:** [May 21, 2024, 11:12am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fneed-help-setting-up-autotrain-locally%2F84225%2F2 "2024-05-21T11:12:39Z")
Hi,
I had raised a similar issue on Github. Got the following solution. They’d suggested to use `config_name:split_name` as the train/validation split. Linking the specific comment below:
>
>
> \### Prerequisites
>
> \- \[X\] I have read the \[documentation\](https://hf.co/docs/auto…train).
> \- \[X\] I have checked other issues for similar problems.
>
> \### Backend
>
> Other cloud providers
>
> \### Interface Used
>
> UI
>
> \### CLI Command
>
> \_No response\_
>
> \### UI Screenshots & Parameters
>
> !\[image\](https://github.com/huggingface/autotrain-advanced/assets/58473359/50f79872-12ec-4317-97e2-155b5477de9c)
>
>
> \### Error Logs
>
> ERROR | 2024-05-16 09:52:25 | autotrain.trainers.common:wrapper:120 - train has failed due to an exception: Traceback (most recent call last):
> File "/opt/conda/lib/python3.10/site-packages/autotrain/trainers/common.py", line 117, in wrapper
> return func(\*args, \*\*kwargs)
> File "/opt/conda/lib/python3.10/site-packages/autotrain/trainers/object\_detection/\_\_main\_\_.py", line 49, in train
> train\_data = load\_dataset(
> File "/opt/conda/lib/python3.10/site-packages/datasets/load.py", line 2587, in load\_dataset
> builder\_instance = load\_dataset\_builder(
> File "/opt/conda/lib/python3.10/site-packages/datasets/load.py", line 2296, in load\_dataset\_builder
> builder\_instance: DatasetBuilder = builder\_cls(
> File "/opt/conda/lib/python3.10/site-packages/datasets/builder.py", line 374, in \_\_init\_\_
> self.config, self.config\_id = self.\_create\_builder\_config(
> File "/opt/conda/lib/python3.10/site-packages/datasets/builder.py", line 584, in \_create\_builder\_config
> raise ValueError(
> ValueError: Config name is missing.
> Please pick one among the available configs: \['full', 'mini'\]
> Example of usage:
> \`load\_dataset('license-plate-object-detection', 'full')\`
>
> ERROR | 2024-05-16 09:52:25 | autotrain.trainers.common:wrapper:121 - Config name is missing.
> Please pick one among the available configs: \['full', 'mini'\]
> Example of usage:
> \`load\_dataset('license-plate-object-detection', 'full')\`
>
> \### Additional Information
>
> Seems like the Problem is due to Non-Default configs in the dataset I'm trying to use. Next logical question is this by design? If yes, how can I use datasets without any default to autotrain?
>
> Links to support Theory:
> \- /static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fneed-help-setting-up-autotrain-locally%2F84225
> \- /static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fconfig-default-not-found-for-dataset%2F49752