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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'eval_loss', 'eval_runtime', 'eval_steps_per_second', 'eval_samples_per_second'}) and 5 missing columns ({'total_flos', 'train_runtime', 'train_loss', 'train_steps_per_second', 'train_samples_per_second'}).
This happened while the json dataset builder was generating data using
hf://datasets/bongard0v0/curriculum_learning/100_lora_sft_ttt/eval_results.json (at revision e838323843e7e131df3025169fb2372180c2c660)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
epoch: double
eval_loss: double
eval_runtime: double
eval_samples_per_second: double
eval_steps_per_second: double
to
{'epoch': Value('float64'), 'total_flos': Value('float64'), 'train_loss': Value('float64'), 'train_runtime': Value('float64'), 'train_samples_per_second': Value('float64'), 'train_steps_per_second': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1451, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'eval_loss', 'eval_runtime', 'eval_steps_per_second', 'eval_samples_per_second'}) and 5 missing columns ({'total_flos', 'train_runtime', 'train_loss', 'train_steps_per_second', 'train_samples_per_second'}).
This happened while the json dataset builder was generating data using
hf://datasets/bongard0v0/curriculum_learning/100_lora_sft_ttt/eval_results.json (at revision e838323843e7e131df3025169fb2372180c2c660)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need 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
float64 | total_flos
float64 | train_loss
float64 | train_runtime
float64 | train_samples_per_second
float64 | train_steps_per_second
float64 |
|---|---|---|---|---|---|
2
| 34,102,773,284,864
| 0.023134
| 4,154.1424
| 0.901
| 0.225
|
2
| 11,399,228,555,264
| 0.017152
| 3,811.5722
| 0.327
| 0.082
|
2
| 12,490,745,577,472
| 0.018073
| 3,749.7125
| 0.364
| 0.091
|
2
| 13,584,634,740,736
| 0.018395
| 4,146.6115
| 0.358
| 0.09
|
2
| 14,673,778,311,168
| 0.01712
| 4,997.1732
| 0.321
| 0.08
|
2
| 15,760,549,085,184
| 0.016697
| 5,747.7579
| 0.3
| 0.075
|
2
| 16,784,043,802,624
| 0.01747
| 5,132.4203
| 0.359
| 0.09
|
2
| 17,875,560,562,688
| 0.019762
| 6,086.1536
| 0.322
| 0.081
|
2
| 18,967,076,798,464
| 0.017179
| 5,342.1921
| 0.389
| 0.097
|
2
| 20,053,847,703,552
| 0.017113
| 4,979.6252
| 0.441
| 0.11
|
2
| 21,150,110,056,448
| 0.019086
| 2,564.3566
| 0.903
| 0.226
|
2
| 1,721,115,869,184
| 0.013244
| 545.1918
| 0.326
| 0.084
|
2
| 22,241,626,030,080
| 0.020467
| 5,021.3712
| 0.485
| 0.121
|
2
| 23,333,143,576,576
| 0.01766
| 2,890.1849
| 0.884
| 0.221
|
2
| 24,351,892,045,824
| 0.019903
| 3,084.4055
| 0.866
| 0.217
|
2
| 25,443,408,281,600
| 0.018505
| 3,187.7654
| 0.875
| 0.219
|
2
| 26,534,924,713,984
| 0.019952
| 3,289.8477
| 0.885
| 0.221
|
2
| 27,626,441,408,512
| 0.019229
| 3,748.5815
| 0.808
| 0.202
|
2
| 28,717,958,037,504
| 0.018041
| 4,128.7866
| 0.762
| 0.191
|
2
| 29,809,474,273,280
| 0.019256
| 4,513.7196
| 0.724
| 0.181
|
2
| 30,828,222,873,600
| 0.021105
| 5,346.9897
| 0.633
| 0.158
|
2
| 31,919,738,978,304
| 0.021841
| 7,275.7938
| 0.482
| 0.12
|
2
| 2,739,864,600,576
| 0.025909
| 1,038.259
| 0.285
| 0.071
|
2
| 33,011,256,262,656
| 0.018509
| 17,096.3961
| 0.212
| 0.053
|
2
| 34,102,773,284,864
| 0.019541
| 4,926.8156
| 0.76
| 0.19
|
2
| 34,102,773,284,864
| 0.019666
| 5,115.5056
| 0.732
| 0.183
|
2
| 34,102,773,284,864
| 0.02016
| 5,362.3013
| 0.698
| 0.175
|
2
| 34,102,773,284,864
| 0.019017
| 5,159.6985
| 0.725
| 0.181
|
2
| 34,102,773,284,864
| 0.019854
| 6,901.7333
| 0.542
| 0.136
|
2
| 34,102,773,284,864
| 0.021063
| 5,277.1907
| 0.709
| 0.177
|
2
| 34,102,773,284,864
| 0.021561
| 6,526.4536
| 0.573
| 0.143
|
2
| 34,102,773,284,864
| 0.018413
| 8,402.1185
| 0.445
| 0.111
|
2
| 34,102,773,284,864
| 0.017154
| 5,826.4036
| 0.642
| 0.161
|
2
| 3,831,381,098,496
| 0.031117
| 1,518.5428
| 0.273
| 0.068
|
2
| 34,102,773,284,864
| 0.020121
| 5,948.6805
| 0.629
| 0.157
|
2
| 34,102,773,284,864
| 0.020604
| 5,724.476
| 0.654
| 0.164
|
2
| 34,102,773,284,864
| 0.020017
| 5,513.8694
| 0.679
| 0.17
|
2
| 34,102,773,284,864
| 0.022908
| 6,639.0266
| 0.564
| 0.141
|
2
| 34,102,773,284,864
| 0.022631
| 5,372.172
| 0.697
| 0.174
|
2
| 34,102,773,284,864
| 0.022247
| 5,078.045
| 0.737
| 0.184
|
2
| 34,102,773,284,864
| 0.021007
| 5,195.6171
| 0.72
| 0.18
|
2
| 34,102,773,284,864
| 0.021825
| 4,410.1132
| 0.849
| 0.212
|
2
| 34,102,773,284,864
| 0.023767
| 7,121.3423
| 0.525
| 0.131
|
2
| 34,102,773,284,864
| 0.021629
| 4,510.4072
| 0.83
| 0.208
|
2
| 4,922,897,596,416
| 0.019774
| 2,072.2513
| 0.258
| 0.065
|
2
| 34,102,773,284,864
| 0.023129
| 4,331.9344
| 0.864
| 0.216
|
2
| 34,102,773,284,864
| 0.025288
| 4,833.955
| 0.774
| 0.194
|
2
| 34,102,773,284,864
| 0.025547
| 4,958.1427
| 0.755
| 0.189
|
2
| 34,102,773,284,864
| 0.023251
| 4,455.8048
| 0.84
| 0.21
|
2
| 34,102,773,284,864
| 0.027415
| 4,801.9968
| 0.779
| 0.195
|
2
| 34,102,773,284,864
| 0.025308
| 4,817.8593
| 0.777
| 0.194
|
2
| 34,102,773,284,864
| 0.027978
| 4,812.7973
| 0.778
| 0.194
|
2
| 34,102,773,284,864
| 0.024857
| 4,811.9952
| 0.778
| 0.195
|
2
| 34,102,773,284,864
| 0.027804
| 4,809.142
| 0.778
| 0.195
|
2
| 34,102,773,284,864
| 0.024356
| 4,614.0783
| 0.811
| 0.203
|
2
| 6,014,414,094,336
| 0.020427
| 2,327.2365
| 0.28
| 0.07
|
2
| 34,102,773,284,864
| 0.02548
| 4,590.3903
| 0.815
| 0.204
|
2
| 34,102,773,284,864
| 0.026831
| 5,037.8577
| 0.743
| 0.186
|
2
| 34,102,773,284,864
| 0.025005
| 5,100.4884
| 0.734
| 0.184
|
2
| 34,102,773,284,864
| 0.026258
| 5,015.4468
| 0.746
| 0.187
|
2
| 34,102,773,284,864
| 0.027284
| 5,151.5342
| 0.726
| 0.182
|
2
| 34,102,773,284,864
| 0.030436
| 5,044.7361
| 0.742
| 0.186
|
2
| 34,102,773,284,864
| 0.02558
| 4,401.4381
| 0.85
| 0.213
|
2
| 34,102,773,284,864
| 0.029475
| 4,991.2432
| 0.75
| 0.188
|
2
| 34,102,773,284,864
| 0.027894
| 5,067.2032
| 0.738
| 0.185
|
2
| 34,102,773,284,864
| 0.029373
| 5,157.4805
| 0.726
| 0.181
|
2
| 7,105,930,854,400
| 0.017938
| 1,902.1432
| 0.406
| 0.102
|
2
| 34,102,773,284,864
| 0.027415
| 5,256.2551
| 0.712
| 0.178
|
2
| 34,102,773,284,864
| 0.029488
| 5,132.8976
| 0.729
| 0.182
|
2
| 34,102,773,284,864
| 0.033775
| 5,105.4806
| 0.733
| 0.183
|
2
| 34,102,773,284,864
| 0.03098
| 5,117.0774
| 0.731
| 0.183
|
2
| 34,102,773,284,864
| 0.02981
| 5,114.7655
| 0.732
| 0.183
|
2
| 34,102,773,284,864
| 0.02912
| 5,108.1149
| 0.733
| 0.183
|
2
| 34,102,773,284,864
| 0.027585
| 5,126.5525
| 0.73
| 0.183
|
2
| 34,102,773,284,864
| 0.030835
| 5,135.4671
| 0.729
| 0.182
|
2
| 34,102,773,284,864
| 0.026749
| 5,295.8159
| 0.707
| 0.177
|
2
| 34,102,773,284,864
| 0.028083
| 4,987.4854
| 0.75
| 0.188
|
2
| 8,197,447,090,176
| 0.020428
| 2,455.8551
| 0.362
| 0.091
|
2
| 34,102,773,284,864
| 0.031003
| 4,456.7398
| 0.84
| 0.21
|
2
| 34,102,773,284,864
| 0.030035
| 5,133.6067
| 0.729
| 0.182
|
2
| 34,102,773,284,864
| 0.031316
| 5,070.8749
| 0.738
| 0.185
|
2
| 34,102,773,284,864
| 0.03007
| 5,193.9736
| 0.72
| 0.18
|
2
| 34,102,773,284,864
| 0.031715
| 4,157.6127
| 0.9
| 0.225
|
2
| 34,102,773,284,864
| 0.032485
| 4,224.3489
| 0.886
| 0.222
|
2
| 34,102,773,284,864
| 0.030077
| 4,161.4701
| 0.899
| 0.225
|
2
| 34,102,773,284,864
| 0.029293
| 4,277.6933
| 0.875
| 0.219
|
2
| 34,102,773,284,864
| 0.027377
| 4,438.9971
| 0.843
| 0.211
|
2
| 34,102,773,284,864
| 0.027512
| 4,140.1456
| 0.904
| 0.226
|
2
| 9,211,449,966,592
| 0.023144
| 2,342.9168
| 0.43
| 0.108
|
2
| 34,102,773,284,864
| 0.029027
| 4,491.549
| 0.833
| 0.208
|
2
| 34,102,773,284,864
| 0.027991
| 4,146.3641
| 0.902
| 0.226
|
2
| 34,102,773,284,864
| 0.026812
| 4,135.2879
| 0.905
| 0.226
|
2
| 34,102,773,284,864
| 0.027402
| 4,238.467
| 0.883
| 0.221
|
2
| 34,102,773,284,864
| 0.02622
| 4,345.9678
| 0.861
| 0.215
|
2
| 34,102,773,284,864
| 0.031219
| 4,264.682
| 0.877
| 0.219
|
2
| 34,102,773,284,864
| 0.027201
| 5,153.3615
| 0.726
| 0.182
|
2
| 34,102,773,284,864
| 0.024831
| 7,992.0951
| 0.468
| 0.117
|
2
| 34,102,773,284,864
| 0.026272
| 4,524.154
| 0.827
| 0.207
|
2
| 34,102,773,284,864
| 0.026412
| 4,278.4534
| 0.875
| 0.219
|
2
| 10,307,712,319,488
| 0.01629
| 3,650.5178
| 0.309
| 0.077
|
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