Datasets:

Darknsu
/

Rag_Data_91136_with_audio_lora_training_checkpoint

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Split (1)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

The dataset generation failed

Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'alpha_pattern' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 771, in _write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 812, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ~~~~~~~~~~~~~~~~^
                      self.stream,
                      ^^^^^^^^^^^^
                  ...<9 lines>...
                      },
                      ^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ~~~~~~~~~~~~~~~~~~~~~~^
                      sink, schema,
                      ^^^^^^^^^^^^^
                  ...<18 lines>...
                      store_decimal_as_integer=store_decimal_as_integer,
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      **options)
                      ^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'alpha_pattern' with no child field to Parquet. Consider adding a dummy child field.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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alora_invocation_tokens null	alpha_pattern dict	arrow_config null	auto_mapping null	base_model_name_or_path null	bias string	corda_config null	ensure_weight_tying bool	eva_config null	exclude_modules null	fan_in_fan_out bool	inference_mode bool	init_lora_weights bool	layer_replication null	layers_pattern null	layers_to_transform null	loftq_config dict	lora_alpha float64	lora_bias bool	lora_dropout float64	lora_ga_config null	megatron_config null	megatron_core string	modules_to_save null	monteclora_config null	peft_type string	peft_version string	qalora_group_size int64	r int64	rank_pattern dict	revision null	target_modules list	target_parameters null	task_type string	trainable_token_indices null	use_bdlora null	use_dora bool	use_qalora bool	use_rslora bool	velora_config null
null	{}	null	null	null	none	null	false	null	null	false	true	true	null	null	null	{}	256	false	0.05	null	null	megatron.core	null	null	LORA	0.20.0	16	128	{}	null	[ "linear", "fc1", "out_proj", "proj", "fc2", "in_proj" ]	null	FEATURE_EXTRACTION	null	null	false	false	false	null
null	{}	null	null	null	none	null	false	null	null	false	true	true	null	null	null	{}	256	false	0.05	null	null	megatron.core	null	null	LORA	0.20.0	16	128	{}	null	[ "linear", "fc1", "out_proj", "proj", "fc2", "in_proj" ]	null	FEATURE_EXTRACTION	null	null	false	false	false	null
null	{}	null	null	null	none	null	false	null	null	false	true	true	null	null	null	{}	256	false	0.05	null	null	megatron.core	null	null	LORA	0.20.0	16	128	{}	null	[ "linear", "fc1", "out_proj", "proj", "fc2", "in_proj" ]	null	FEATURE_EXTRACTION	null	null	false	false	false	null
null	{}	null	null	null	none	null	false	null	null	false	true	true	null	null	null	{}	256	false	0.05	null	null	megatron.core	null	null	LORA	0.20.0	16	128	{}	null	[ "linear", "fc1", "out_proj", "proj", "fc2", "in_proj" ]	null	FEATURE_EXTRACTION	null	null	false	false	false	null
null	{}	null	null	null	none	null	false	null	null	false	true	true	null	null	null	{}	256	false	0.05	null	null	megatron.core	null	null	LORA	0.20.0	16	128	{}	null	[ "linear", "fc1", "out_proj", "proj", "fc2", "in_proj" ]	null	FEATURE_EXTRACTION	null	null	false	false	false	null

part-1

2026-08-08 12:40:13,071 [rank 0] INFO step 1890/37990 loss=1.2651 text=0.3350 audio=0.9301 lr=1.99e-06 elapsed=31644s
2026-08-08 12:43:12,562 [rank 0] INFO [ckpt] saved step 1899 → /workspace/lora_checkpoints/step_1899
2026-08-08 12:43:29,252 [rank 0] INFO step 1900/37990 loss=1.2689 text=0.3547 audio=0.9142 lr=1.99e-06 elapsed=31840s

part-2

2026-08-08 21:30:42,019 [rank 0] INFO step 3790/37990 loss=1.1867 text=0.3062 audio=0.8805 lr=1.96e-06 elapsed=63473s
2026-08-08 21:33:23,475 [rank 0] INFO [ckpt] saved step 3798 → /workspace/lora_checkpoints/step_3798
Rank 2 finished epoch 1
Rank 0 finished epoch 1
Rank 1 finished epoch 1
2026-08-08 21:33:57,379 [rank 0] INFO step 3800/37990 loss=1.2068 text=0.3260 audio=0.8808 lr=1.96e-06 elapsed=63668s

part-3

2026-08-09 06:21:17,130 [rank 0] INFO step 5690/37990 loss=1.1982 text=0.3088 audio=0.8894 lr=1.90e-06 elapsed=95308s
2026-08-09 06:23:39,282 [rank 0] INFO [ckpt] saved step 5697 → /workspace/lora_checkpoints/step_5697
2026-08-09 06:24:29,480 [rank 0] INFO step 5700/37990 loss=1.1593 text=0.3001 audio=0.8593 lr=1.90e-06 elapsed=95500s

part-4

2026-08-09 15:11:28,506 [rank 0] INFO step 7590/37990 loss=1.1371 text=0.2849 audio=0.8522 lr=1.83e-06 elapsed=127119s
2026-08-09 15:14:21,540 [rank 0] INFO [ckpt] saved step 7596 → /workspace/lora_checkpoints/step_7596
Rank 2 finished epoch 2
Rank 0 finished epoch 2
Rank 1 finished epoch 2
2026-08-09 15:15:29,194 [rank 0] INFO step 7600/37990 loss=1.1413 text=0.2967 audio=0.8446 lr=1.83e-06 elapsed=127360s

part-5

2026-08-10 00:02:48,823 [rank 0] INFO step 9490/37990 loss=1.1399 text=0.2867 audio=0.8532 lr=1.74e-06 elapsed=158999s
2026-08-10 00:05:12,770 [rank 0] INFO [ckpt] saved step 9495 → /workspace/lora_checkpoints/step_9495
2026-08-10 00:06:37,297 [rank 0] INFO step 9500/37990 loss=1.1591 text=0.2914 audio=0.8678 lr=1.74e-06 elapsed=159228s

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