Datasets:

---

Kimyayd

/

model_checkpoints

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
stage: string
total_experiments: int64
best_experiment: null
all_experiments: list<item: null>
timestamp: string
vs
stage: string
total_experiments: int64
best_experiment: struct<experiment_path: string, hyperparameters: struct<dropout_rate: double, alpha: double, smooth: double, lr: double, weight_decay: double, batch_size_factor: double>, best_dice_score: double, best_epoch: int64, final_train_loss: double, final_valid_loss: double, final_valid_dice: double, total_epochs: int64, stage: string, early_stop_reason: null>
all_experiments: list<item: struct<experiment_path: string, hyperparameters: struct<dropout_rate: double, alpha: double, smooth: double, lr: double, weight_decay: double, batch_size_factor: double>, best_dice_score: double, best_epoch: int64, final_train_loss: double, final_valid_loss: double, final_valid_dice: double, total_epochs: int64, stage: string, early_stop_reason: null>>
timestamp: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3357, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2111, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2315, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 504, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              stage: string
              total_experiments: int64
              best_experiment: null
              all_experiments: list<item: null>
              timestamp: string
              vs
              stage: string
              total_experiments: int64
              best_experiment: struct<experiment_path: string, hyperparameters: struct<dropout_rate: double, alpha: double, smooth: double, lr: double, weight_decay: double, batch_size_factor: double>, best_dice_score: double, best_epoch: int64, final_train_loss: double, final_valid_loss: double, final_valid_dice: double, total_epochs: int64, stage: string, early_stop_reason: null>
              all_experiments: list<item: struct<experiment_path: string, hyperparameters: struct<dropout_rate: double, alpha: double, smooth: double, lr: double, weight_decay: double, batch_size_factor: double>, best_dice_score: double, best_epoch: int64, final_train_loss: double, final_valid_loss: double, final_valid_dice: double, total_epochs: int64, stage: string, early_stop_reason: null>>
              timestamp: string