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stat214-group9

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Billy_fine_tuned

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STAT214 Group 9 4

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
epoch: int64
train_loss: double
val_loss: double
lora_alpha: int64
lora_dropout: double
max_length: int64
lr: double
model_name: string
words_per_example: int64
mlm_prob: double
data_path: string
device: string
lora_rank: int64
output_dir: string
limit_stories: int64
seed: int64
epochs: int64
val_frac: double
batch_size: int64
use_lora: bool
to
{'data_path': Value('string'), 'model_name': Value('string'), 'output_dir': Value('string'), 'device': Value('string'), 'epochs': Value('int64'), 'batch_size': Value('int64'), 'lr': Value('float64'), 'max_length': Value('int64'), 'words_per_example': Value('int64'), 'mlm_prob': Value('float64'), 'val_frac': Value('float64'), 'limit_stories': Value('int64'), 'seed': Value('int64'), 'use_lora': Value('bool'), 'lora_rank': Value('int64'), 'lora_alpha': Value('int64'), 'lora_dropout': Value('float64')}
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 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 295, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              epoch: int64
              train_loss: double
              val_loss: double
              lora_alpha: int64
              lora_dropout: double
              max_length: int64
              lr: double
              model_name: string
              words_per_example: int64
              mlm_prob: double
              data_path: string
              device: string
              lora_rank: int64
              output_dir: string
              limit_stories: int64
              seed: int64
              epochs: int64
              val_frac: double
              batch_size: int64
              use_lora: bool
              to
              {'data_path': Value('string'), 'model_name': Value('string'), 'output_dir': Value('string'), 'device': Value('string'), 'epochs': Value('int64'), 'batch_size': Value('int64'), 'lr': Value('float64'), 'max_length': Value('int64'), 'words_per_example': Value('int64'), 'mlm_prob': Value('float64'), 'val_frac': Value('float64'), 'limit_stories': Value('int64'), 'seed': Value('int64'), 'use_lora': Value('bool'), 'lora_rank': Value('int64'), 'lora_alpha': Value('int64'), 'lora_dropout': Value('float64')}
              because column names don't match