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inference-optimization

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every-eval-ever-demo

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Inference Optimization 30

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
config_general: struct<lighteval_sha: string, num_fewshot_seeds: int64, max_samples: null, job_id: string, start_tim (... 786 chars omitted)
  child 0, lighteval_sha: string
  child 1, num_fewshot_seeds: int64
  child 2, max_samples: null
  child 3, job_id: string
  child 4, start_time: double
  child 5, end_time: double
  child 6, total_evaluation_time_secondes: string
  child 7, model_config: struct<model_name: string, generation_parameters: struct<num_blocks: null, block_size: null, early_s (... 582 chars omitted)
      child 0, model_name: string
      child 1, generation_parameters: struct<num_blocks: null, block_size: null, early_stopping: null, repetition_penalty: null, frequency (... 277 chars omitted)
          child 0, num_blocks: null
          child 1, block_size: null
          child 2, early_stopping: null
          child 3, repetition_penalty: null
          child 4, frequency_penalty: null
          child 5, length_penalty: null
          child 6, presence_penalty: null
          child 7, max_new_tokens: int64
          child 8, min_new_tokens: null
          child 9, seed: int64
          child 10, stop_tokens: null
          child 11, temperature: double
          child 12, top_k: int64
          child 13, min_p: double
          child 14, top_p: double
          child 15, truncate_prompt: null
          child 16, cache_implementation: null
          child 17, response_format: null
      child 2, system_prompt: null
      child 3, cache_dir: string
      chi
...
 0, original: int64
      child 1, effective: int64
upper_git_hash: null
pretty_env_info: string
model_name_sanitized: string
group_subtasks: struct<>
fewshot_as_multiturn: bool
config: struct<model: string, model_args: struct<model: string, max_length: int64, base_url: string, num_con (... 425 chars omitted)
  child 0, model: string
  child 1, model_args: struct<model: string, max_length: int64, base_url: string, num_concurrent: int64, max_retries: int64 (... 68 chars omitted)
      child 0, model: string
      child 1, max_length: int64
      child 2, base_url: string
      child 3, num_concurrent: int64
      child 4, max_retries: int64
      child 5, tokenized_requests: bool
      child 6, tokenizer_backend: null
      child 7, timeout: int64
  child 2, batch_size: int64
  child 3, batch_sizes: list<item: null>
      child 0, item: null
  child 4, device: string
  child 5, use_cache: null
  child 6, limit: null
  child 7, bootstrap_iters: int64
  child 8, gen_kwargs: struct<do_sample: bool, temperature: double, top_p: double, top_k: int64, min_p: double, max_gen_tok (... 9 chars omitted)
      child 0, do_sample: bool
      child 1, temperature: double
      child 2, top_p: double
      child 3, top_k: int64
      child 4, min_p: double
      child 5, max_gen_toks: int64
  child 9, random_seed: int64
  child 10, numpy_seed: int64
  child 11, torch_seed: int64
  child 12, fewshot_seed: int64
date: double
system_instruction: null
chat_template_sha: null
model_source: string
to
{'results': {'ifeval': {'name': Value('string'), 'alias': Value('string'), 'sample_len': Value('int64'), 'prompt_level_strict_acc,none': Value('float64'), 'prompt_level_strict_acc_stderr,none': Value('float64'), 'inst_level_strict_acc,none': Value('float64'), 'inst_level_strict_acc_stderr,none': Value('string'), 'prompt_level_loose_acc,none': Value('float64'), 'prompt_level_loose_acc_stderr,none': Value('float64'), 'inst_level_loose_acc,none': Value('float64'), 'inst_level_loose_acc_stderr,none': Value('string')}}, 'group_subtasks': {}, 'configs': {'ifeval': {'task': Value('string'), 'dataset_path': Value('string'), 'test_split': Value('string'), 'doc_to_text': Value('string'), 'doc_to_target': Value('int64'), 'unsafe_code': Value('bool'), 'process_results': Value('string'), 'description': Value('string'), 'target_delimiter': Value('string'), 'fewshot_delimiter': Value('string'), 'fewshot_config': {'sampler': Value('string'), 'split': Value('null'), 'process_docs': Value('null'), 'fewshot_indices': Value('null'), 'samples': Value('null'), 'doc_to_text': Value('string'), 'doc_to_choice': Value('null'), 'doc_to_target': Value('int64'), 'gen_prefix': Value('null'), 'fewshot_delimiter': Value('string'), 'target_delimiter': Value('string')}, 'num_fewshot': Value('int64'), 'metric_list': List({'metric': Value('string'), 'aggregation': Value('string'), 'higher_is_better': Value('bool')}), 'output_type': Value('string'), 'generation_kwargs': {'until': List(Value('null')), 'do_sample'
...
acc': Value('bool'), 'inst_level_loose_acc': Value('bool')}}, 'n-samples': {'ifeval': {'original': Value('int64'), 'effective': Value('int64')}}, 'config': {'model': Value('string'), 'model_args': {'model': Value('string'), 'max_length': Value('int64'), 'base_url': Value('string'), 'num_concurrent': Value('int64'), 'max_retries': Value('int64'), 'tokenized_requests': Value('bool'), 'tokenizer_backend': Value('null'), 'timeout': Value('int64')}, 'batch_size': Value('int64'), 'batch_sizes': List(Value('null')), 'device': Value('string'), 'use_cache': Value('null'), 'limit': Value('null'), 'bootstrap_iters': Value('int64'), 'gen_kwargs': {'do_sample': Value('bool'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'top_k': Value('int64'), 'min_p': Value('float64'), 'max_gen_toks': Value('int64')}, 'random_seed': Value('int64'), 'numpy_seed': Value('int64'), 'torch_seed': Value('int64'), 'fewshot_seed': Value('int64')}, 'git_hash': Value('null'), 'date': Value('float64'), 'pretty_env_info': Value('string'), 'transformers_version': Value('string'), 'lm_eval_version': Value('string'), 'upper_git_hash': Value('null'), 'task_hashes': {}, 'model_source': Value('string'), 'model_name': Value('string'), 'model_name_sanitized': Value('string'), 'system_instruction': Value('null'), 'system_instruction_sha': Value('null'), 'fewshot_as_multiturn': Value('bool'), 'chat_template': Value('string'), 'chat_template_sha': Value('null'), 'total_evaluation_time_seconds': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              config_general: struct<lighteval_sha: string, num_fewshot_seeds: int64, max_samples: null, job_id: string, start_tim (... 786 chars omitted)
                child 0, lighteval_sha: string
                child 1, num_fewshot_seeds: int64
                child 2, max_samples: null
                child 3, job_id: string
                child 4, start_time: double
                child 5, end_time: double
                child 6, total_evaluation_time_secondes: string
                child 7, model_config: struct<model_name: string, generation_parameters: struct<num_blocks: null, block_size: null, early_s (... 582 chars omitted)
                    child 0, model_name: string
                    child 1, generation_parameters: struct<num_blocks: null, block_size: null, early_stopping: null, repetition_penalty: null, frequency (... 277 chars omitted)
                        child 0, num_blocks: null
                        child 1, block_size: null
                        child 2, early_stopping: null
                        child 3, repetition_penalty: null
                        child 4, frequency_penalty: null
                        child 5, length_penalty: null
                        child 6, presence_penalty: null
                        child 7, max_new_tokens: int64
                        child 8, min_new_tokens: null
                        child 9, seed: int64
                        child 10, stop_tokens: null
                        child 11, temperature: double
                        child 12, top_k: int64
                        child 13, min_p: double
                        child 14, top_p: double
                        child 15, truncate_prompt: null
                        child 16, cache_implementation: null
                        child 17, response_format: null
                    child 2, system_prompt: null
                    child 3, cache_dir: string
                    chi
              ...
               0, original: int64
                    child 1, effective: int64
              upper_git_hash: null
              pretty_env_info: string
              model_name_sanitized: string
              group_subtasks: struct<>
              fewshot_as_multiturn: bool
              config: struct<model: string, model_args: struct<model: string, max_length: int64, base_url: string, num_con (... 425 chars omitted)
                child 0, model: string
                child 1, model_args: struct<model: string, max_length: int64, base_url: string, num_concurrent: int64, max_retries: int64 (... 68 chars omitted)
                    child 0, model: string
                    child 1, max_length: int64
                    child 2, base_url: string
                    child 3, num_concurrent: int64
                    child 4, max_retries: int64
                    child 5, tokenized_requests: bool
                    child 6, tokenizer_backend: null
                    child 7, timeout: int64
                child 2, batch_size: int64
                child 3, batch_sizes: list<item: null>
                    child 0, item: null
                child 4, device: string
                child 5, use_cache: null
                child 6, limit: null
                child 7, bootstrap_iters: int64
                child 8, gen_kwargs: struct<do_sample: bool, temperature: double, top_p: double, top_k: int64, min_p: double, max_gen_tok (... 9 chars omitted)
                    child 0, do_sample: bool
                    child 1, temperature: double
                    child 2, top_p: double
                    child 3, top_k: int64
                    child 4, min_p: double
                    child 5, max_gen_toks: int64
                child 9, random_seed: int64
                child 10, numpy_seed: int64
                child 11, torch_seed: int64
                child 12, fewshot_seed: int64
              date: double
              system_instruction: null
              chat_template_sha: null
              model_source: string
              to
              {'results': {'ifeval': {'name': Value('string'), 'alias': Value('string'), 'sample_len': Value('int64'), 'prompt_level_strict_acc,none': Value('float64'), 'prompt_level_strict_acc_stderr,none': Value('float64'), 'inst_level_strict_acc,none': Value('float64'), 'inst_level_strict_acc_stderr,none': Value('string'), 'prompt_level_loose_acc,none': Value('float64'), 'prompt_level_loose_acc_stderr,none': Value('float64'), 'inst_level_loose_acc,none': Value('float64'), 'inst_level_loose_acc_stderr,none': Value('string')}}, 'group_subtasks': {}, 'configs': {'ifeval': {'task': Value('string'), 'dataset_path': Value('string'), 'test_split': Value('string'), 'doc_to_text': Value('string'), 'doc_to_target': Value('int64'), 'unsafe_code': Value('bool'), 'process_results': Value('string'), 'description': Value('string'), 'target_delimiter': Value('string'), 'fewshot_delimiter': Value('string'), 'fewshot_config': {'sampler': Value('string'), 'split': Value('null'), 'process_docs': Value('null'), 'fewshot_indices': Value('null'), 'samples': Value('null'), 'doc_to_text': Value('string'), 'doc_to_choice': Value('null'), 'doc_to_target': Value('int64'), 'gen_prefix': Value('null'), 'fewshot_delimiter': Value('string'), 'target_delimiter': Value('string')}, 'num_fewshot': Value('int64'), 'metric_list': List({'metric': Value('string'), 'aggregation': Value('string'), 'higher_is_better': Value('bool')}), 'output_type': Value('string'), 'generation_kwargs': {'until': List(Value('null')), 'do_sample'
              ...
              acc': Value('bool'), 'inst_level_loose_acc': Value('bool')}}, 'n-samples': {'ifeval': {'original': Value('int64'), 'effective': Value('int64')}}, 'config': {'model': Value('string'), 'model_args': {'model': Value('string'), 'max_length': Value('int64'), 'base_url': Value('string'), 'num_concurrent': Value('int64'), 'max_retries': Value('int64'), 'tokenized_requests': Value('bool'), 'tokenizer_backend': Value('null'), 'timeout': Value('int64')}, 'batch_size': Value('int64'), 'batch_sizes': List(Value('null')), 'device': Value('string'), 'use_cache': Value('null'), 'limit': Value('null'), 'bootstrap_iters': Value('int64'), 'gen_kwargs': {'do_sample': Value('bool'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'top_k': Value('int64'), 'min_p': Value('float64'), 'max_gen_toks': Value('int64')}, 'random_seed': Value('int64'), 'numpy_seed': Value('int64'), 'torch_seed': Value('int64'), 'fewshot_seed': Value('int64')}, 'git_hash': Value('null'), 'date': Value('float64'), 'pretty_env_info': Value('string'), 'transformers_version': Value('string'), 'lm_eval_version': Value('string'), 'upper_git_hash': Value('null'), 'task_hashes': {}, 'model_source': Value('string'), 'model_name': Value('string'), 'model_name_sanitized': Value('string'), 'system_instruction': Value('null'), 'system_instruction_sha': Value('null'), 'fewshot_as_multiturn': Value('bool'), 'chat_template': Value('string'), 'chat_template_sha': Value('null'), 'total_evaluation_time_seconds': Value('string')}
              because column names don't match