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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
run_name: string
model_name: string
n_params: string
best_epoch: int64
best_val_f1: double
test_accuracy: double
test_macro_f1: double
test_far: double
test_frr: double
per_class_far: struct<hey_ava: double, hey_t_mobile: double, hey_turkcell: double, hey_cassandra: double, hey_dtag: (... 8 chars omitted)
child 0, hey_ava: double
child 1, hey_t_mobile: double
child 2, hey_turkcell: double
child 3, hey_cassandra: double
child 4, hey_dtag: double
per_class_frr: struct<hey_ava: double, hey_t_mobile: double, hey_turkcell: double, hey_cassandra: double, hey_dtag: (... 8 chars omitted)
child 0, hey_ava: double
child 1, hey_t_mobile: double
child 2, hey_turkcell: double
child 3, hey_cassandra: double
child 4, hey_dtag: double
confusion_matrix: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
classification_report: string
args: struct<epochs: int64, batch_size: int64, lr: double, embedding_dim: int64, dropout: double, num_head (... 245 chars omitted)
child 0, epochs: int64
child 1, batch_size: int64
child 2, lr: double
child 3, embedding_dim: int64
child 4, dropout: double
child 5, num_heads: int64
child 6, focal_gamma: double
child 7, mixup_alpha: double
child 8, cutmix_alpha: double
child 9, cosine_t0: int64
child 10, cosine_t_mult: int64
child 11, hard_neg_buffer: int64
child 12, hard_neg_thresh: double
child 13, patience: int64
child 14, num_workers: int64
child 15, seed: int64
child 16, single_gpu: int64
child 17, port: string
class_names: list<item: string>
child 0, item: string
val_frr: list<item: double>
child 0, item: double
epoch: list<item: int64>
child 0, item: int64
lr: list<item: double>
child 0, item: double
train_acc: list<item: double>
child 0, item: double
val_f1: list<item: double>
child 0, item: double
val_acc: list<item: double>
child 0, item: double
val_loss: list<item: double>
child 0, item: double
val_far: list<item: double>
child 0, item: double
train_loss: list<item: double>
child 0, item: double
to
{'epoch': List(Value('int64')), 'train_loss': List(Value('float64')), 'train_acc': List(Value('float64')), 'val_loss': List(Value('float64')), 'val_acc': List(Value('float64')), 'val_f1': List(Value('float64')), 'val_far': List(Value('float64')), 'val_frr': List(Value('float64')), 'lr': List(Value('float64'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, 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
run_name: string
model_name: string
n_params: string
best_epoch: int64
best_val_f1: double
test_accuracy: double
test_macro_f1: double
test_far: double
test_frr: double
per_class_far: struct<hey_ava: double, hey_t_mobile: double, hey_turkcell: double, hey_cassandra: double, hey_dtag: (... 8 chars omitted)
child 0, hey_ava: double
child 1, hey_t_mobile: double
child 2, hey_turkcell: double
child 3, hey_cassandra: double
child 4, hey_dtag: double
per_class_frr: struct<hey_ava: double, hey_t_mobile: double, hey_turkcell: double, hey_cassandra: double, hey_dtag: (... 8 chars omitted)
child 0, hey_ava: double
child 1, hey_t_mobile: double
child 2, hey_turkcell: double
child 3, hey_cassandra: double
child 4, hey_dtag: double
confusion_matrix: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
classification_report: string
args: struct<epochs: int64, batch_size: int64, lr: double, embedding_dim: int64, dropout: double, num_head (... 245 chars omitted)
child 0, epochs: int64
child 1, batch_size: int64
child 2, lr: double
child 3, embedding_dim: int64
child 4, dropout: double
child 5, num_heads: int64
child 6, focal_gamma: double
child 7, mixup_alpha: double
child 8, cutmix_alpha: double
child 9, cosine_t0: int64
child 10, cosine_t_mult: int64
child 11, hard_neg_buffer: int64
child 12, hard_neg_thresh: double
child 13, patience: int64
child 14, num_workers: int64
child 15, seed: int64
child 16, single_gpu: int64
child 17, port: string
class_names: list<item: string>
child 0, item: string
val_frr: list<item: double>
child 0, item: double
epoch: list<item: int64>
child 0, item: int64
lr: list<item: double>
child 0, item: double
train_acc: list<item: double>
child 0, item: double
val_f1: list<item: double>
child 0, item: double
val_acc: list<item: double>
child 0, item: double
val_loss: list<item: double>
child 0, item: double
val_far: list<item: double>
child 0, item: double
train_loss: list<item: double>
child 0, item: double
to
{'epoch': List(Value('int64')), 'train_loss': List(Value('float64')), 'train_acc': List(Value('float64')), 'val_loss': List(Value('float64')), 'val_acc': List(Value('float64')), 'val_f1': List(Value('float64')), 'val_far': List(Value('float64')), 'val_frr': List(Value('float64')), 'lr': List(Value('float64'))}
because column names don't match
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 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
epoch list | train_loss list | train_acc list | val_loss list | val_acc list | val_f1 list | val_far list | val_frr list | lr list |
|---|---|---|---|---|---|---|---|---|
[
1,
2,
3,
4,
5,
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] | [
0.5089186223927941,
0.5079592704096672,
0.5079361379899703,
0.5079197311290704,
0.507888638421455,
0.5078568547994836,
0.507841204999033,
0.5078368117524644,
0.5078120109652539,
0.5078068754917694,
0.5079417400872849,
0.5079604534973122,
0.5079326448611465,
0.5079439199988285,
0.50792385... | [
71.48769921089277,
72.82173526226211,
72.82769869513642,
72.84188199494558,
72.81013074423642,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.81432126463459,
72.86347929238228,
72.78772757749239,
72.84994068801898,
72.84816777554283,
7... | [
0.5078213921818796,
0.5078061159835396,
0.5078027595830436,
0.5077764186086041,
0.507795118164308,
0.5077809013500072,
0.5077789777232082,
0.5077743728463799,
0.5077709429236529,
0.5077690220754533,
0.5078863813587935,
0.5077990599640525,
0.5078714346826667,
0.5077777711963496,
0.5077813... | [
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
7... | [
14.050503242232566,
14.050503242232566,
14.050503242232566,
14.050503242232566,
14.050503242232566,
14.050503242232566,
14.050503242232566,
14.050503242232566,
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14.050503242232566,
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14.050503242232566,
14.050503242232566,
14.050503242232566,
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100,
100,
100,
100,
100,
100,
100,
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100,
100,
100,
100
] | [
0.0009755282581475768,
0.0009045084971874737,
0.0007938926261462366,
0.0006545084971874737,
0.0005,
0.00034549150281252633,
0.00020610737385376348,
0.00009549150281252633,
0.000024471741852423235,
0.001,
0.0009938441702975688,
0.0009755282581475768,
0.0009455032620941839,
0.000904508497187... |
[
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16
] | [
0.47218308274452836,
0.4706244755093709,
0.4703848210682865,
0.47033984201158036,
0.4703007429629171,
0.47034258095443054,
0.470328597142899,
0.47027971463357854,
0.4702970359179348,
0.4703107499963183,
0.47031972249324366,
0.47030342123763197,
0.4702945245251601,
0.4703081351806327,
0.4... | [
72.83624090979421,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
72.86347929238228,
7... | [
0.47114548175641807,
0.47034840393971294,
0.4702645494501189,
0.4702642902289287,
0.47026658471268,
0.47026322359102396,
0.4702633531770297,
0.47026583055655163,
0.47027120589226384,
0.4702714889651478,
0.47026401384435473,
0.4702697710038805,
0.4702743174809434,
0.47027293521382235,
0.4... | [
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
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72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
72.86535833096939,
7... | [
14.050503242232566,
14.050503242232566,
14.050503242232566,
14.050503242232566,
14.050503242232566,
14.050503242232566,
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0.00029992072231443425,
0.00029982164552650413,
0.0002996829759467223,
0.00029950475148... |
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