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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 8 new columns ({'learning_rate', 'step', 'validation_loss', 'timestamp', 'source_run_key', 'training_loss', 'effective_lr_matrix', 'consumed_samples'}) and 14 missing columns ({'num_curve_rows', 'relative_path', 'precision', 'peak_lr', 'source_run_id', 'lr_mult', 'schedule', 'global_batch_size', 'num_validation_points', 'model', 'run_key', 'optimizer', 'target_step', 'peak_effective_lr_matrix'}).
This happened while the csv dataset builder was generating data using
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'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/bo_12b/lrunk/lrmultunk/step69838/local_yu9hq8yv/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step10/local_3ibv9pwd/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step10/local_41awejjc/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step10/local_glgbr4sl/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step10/local_mt65ag6a/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step12/local_0quj5tzk/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step12/local_4ugqsin5/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step12/local_55undpci/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step12/local_id65t40g/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step12/local_kt7y5q70/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step12/local_rhfmsiko/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step12/local_wuae5924/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step13/local_ftbwr2m0/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step13/local_liqf8u6h/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step14/local_9lj4x5xp/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step14/local_jyl72c4l/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step14/local_q84jc57p/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step15/local_i80cmcgp/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step15/local_lsn43lbl/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step16/local_2un8zgsl/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step16/local_had6l2fn/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step16/local_yvllumsm/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step17/local_4q6z9lkl/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step17/local_b3q1nud3/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step17/local_of7hep0n/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step17/local_ot2tl25f/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step17/local_v5yfa8b8/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step18/local_3gmm77ro/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step18/local_j3hlvotx/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step18/local_wvsqek48/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step19/local_7326d3qu/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step19/local_dqymf0ex/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step19/local_jnccjvbg/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step20/local_fxq4slgz/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step21/local_xazcj7yf/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step23/local_c5mk4682/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step23/local_kwbl6bp1/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step23/local_qiq8sppp/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_20flfebw/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_2nd4dunf/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_7icucy59/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_9o4capns/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_b3a6lnd7/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_bp11uc9z/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_eso06lwq/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_f8f50zrz/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_hbesvlek/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_i6t6ua2v/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_iipyejkf/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_jsg0swy2/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_mc2jprx9/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_ohuzwyt3/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_p9lm5bi0/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_slmbgrta/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_vdmqsii2/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step24/local_zpb85wiy/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step30/local_ha00h89u/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step32/local_rtio6jj3/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step33/local_f4nhzaba/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step34/local_hng6opwq/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step35/local_n4gxuziu/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step38/local_a97hk9xi/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step42/local_4hnkikw7/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step42/local_u024568r/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step43/local_n4rfkjse/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step43/local_povagc95/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step46/local_pbdy70rk/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step47/local_iur1hb0b/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step47/local_pqdgb4si/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/local/lrunk/lrmultunk/step57/local_d0mo3yo9/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/prom_phase3_longctx_smoke_8k/lrunk/lrmultunk/step87501/local_j03pxyq3/curve.csv', 'hf://datasets/thu-pacman/mpl_eff_lr@94128b52cf43c711dd459ed299af55d740959348/runs/unknown/unknown/prom_phase3_longctx_smoke_8k/lrunk/lrmultunk/step87502/local_3zp42nod/curve.csv']
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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
step: int64
learning_rate: double
effective_lr_matrix: double
training_loss: double
validation_loss: double
consumed_samples: double
timestamp: string
source_run_key: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1288
to
{'relative_path': Value('string'), 'run_key': Value('string'), 'source_run_id': Value('string'), 'model': Value('string'), 'optimizer': Value('string'), 'precision': Value('string'), 'global_batch_size': Value('int64'), 'target_step': Value('int64'), 'peak_lr': Value('float64'), 'lr_mult': Value('float64'), 'peak_effective_lr_matrix': Value('float64'), 'schedule': Value('string'), 'num_curve_rows': Value('int64'), 'num_validation_points': Value('int64')}
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 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 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 8 new columns ({'learning_rate', 'step', 'validation_loss', 'timestamp', 'source_run_key', 'training_loss', 'effective_lr_matrix', 'consumed_samples'}) and 14 missing columns ({'num_curve_rows', 'relative_path', 'precision', 'peak_lr', 'source_run_id', 'lr_mult', 'schedule', 'global_batch_size', 'num_validation_points', 'model', 'run_key', 'optimizer', 'target_step', 'peak_effective_lr_matrix'}).
This happened while the csv dataset builder was generating data using
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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.
relative_path string | run_key string | source_run_id string | model string | optimizer string | precision string | global_batch_size int64 | target_step int64 | peak_lr float64 | lr_mult float64 | peak_effective_lr_matrix float64 | schedule string | num_curve_rows int64 | num_validation_points int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
runs\1b7\muonh\prom_phase1\lr0p005\lrmult3\step10000\local_wt4bjppc | prom_1b7_gbs512_blkfp8_ag0_lr0p005_m3_step10000 | wt4bjppc | 1b7 | muonh | fp8 | 512 | 10,000 | 0.005 | 3 | 0.015 | linear | 10,000 | 100 |
runs\1b7\muonh\prom_phase1\lr0p005\lrmult3\step20000\local_w5ed1zjw | prom_1b7_gbs512_blkfp8_ag0_lr0p005_m3_step20000 | w5ed1zjw | 1b7 | muonh | fp8 | 512 | 20,000 | 0.005 | 3 | 0.015 | linear | 20,000 | 200 |
runs\1b7\muonh\prom_phase1\lr0p005\lrmult3\step40000\local_ac80tv8n | prom_1b7_gbs512_blkfp8_ag0_lr0p005_m3_step40000 | ac80tv8n | 1b7 | muonh | fp8 | 512 | 40,000 | 0.005 | 3 | 0.015 | linear | 40,000 | 400 |
runs\1b7\muonh\prom_phase1\lr0p006\lrmult3\step10000\local_ij8nb9kn | prom_1b7_gbs512_blkfp8_ag0_lr0p006_m3_step10000 | ij8nb9kn | 1b7 | muonh | fp8 | 512 | 10,000 | 0.006 | 3 | 0.018 | linear | 10,000 | 100 |
runs\1b7\muonh\prom_phase1\lr0p006\lrmult3\step20000\local_0ecs8sx0 | prom_1b7_gbs512_blkfp8_ag0_lr0p006_m3_step20000 | 0ecs8sx0 | 1b7 | muonh | fp8 | 512 | 20,000 | 0.006 | 3 | 0.018 | linear | 20,000 | 200 |
runs\1b7\muonh\prom_phase1\lr0p006\lrmult3\step40000\local_6ia96t9o | prom_1b7_gbs512_blkfp8_ag0_lr0p006_m3_step40000 | 6ia96t9o | 1b7 | muonh | fp8 | 512 | 40,000 | 0.006 | 3 | 0.018 | linear | 40,000 | 400 |
runs\1b7\muonh\prom_phase1\lr0p007\lrmult3\step10000\local_ty4lduiw | prom_1b7_gbs512_blkfp8_ag0_lr0p007_m3_step10000 | ty4lduiw | 1b7 | muonh | fp8 | 512 | 10,000 | 0.007 | 3 | 0.021 | linear | 10,000 | 100 |
runs\1b7\muonh\prom_phase1\lr0p007\lrmult3\step20000\local_zudwir5i | prom_1b7_gbs512_blkfp8_ag0_lr0p007_m3_step20000 | zudwir5i | 1b7 | muonh | fp8 | 512 | 20,000 | 0.007 | 3 | 0.021 | linear | 20,000 | 200 |
runs\1b7\muonh\prom_phase1\lr0p007\lrmult3\step40000\local_gh9glh0p | prom_1b7_gbs512_blkfp8_ag0_lr0p007_m3_step40000 | gh9glh0p | 1b7 | muonh | fp8 | 512 | 40,000 | 0.007 | 3 | 0.021 | linear | 40,000 | 400 |
runs\1b7\muonh\prom_phase1\lr0p005\lrmult3\step10000\ly_mf4cguor | ly_prom_1b7_phase1_gbs1536_s10000_lr0p005_lrmul3 | mf4cguor | 1b7 | muonh | mxfp8 | 1,536 | 10,000 | 0.005 | 3 | 0.015 | linear | 10,000 | 50 |
runs\1b7\muonh\prom_phase1\lr0p005\lrmult3\step10000\local_f2l6rk94 | prom_1b7_gbs1536_mxfp8_ag0_lr0p005_m3_step10000 | f2l6rk94 | 1b7 | muonh | mxfp8 | 1,536 | 10,000 | 0.005 | 3 | 0.015 | linear | 10,000 | 100 |
runs\1b7\muonh\prom_phase1\lr0p005\lrmult3\step20000\ly_nspwq537 | ly_prom_1b7_phase1_gbs1536_s20000_lr0p005_lrmul3 | nspwq537 | 1b7 | muonh | mxfp8 | 1,536 | 20,000 | 0.005 | 3 | 0.015 | linear | 20,000 | 100 |
runs\1b7\muonh\prom_phase1\lr0p005\lrmult3\step20000\local_4o3d7heo | prom_1b7_gbs1536_mxfp8_ag0_lr0p005_m3_step20000 | 4o3d7heo | 1b7 | muonh | mxfp8 | 1,536 | 20,000 | 0.005 | 3 | 0.015 | linear | 14,600 | 146 |
runs\1b7\muonh\prom_phase1\lr0p005\lrmult3\step40000\local_tcfryjq3 | prom_1b7_gbs1536_mxfp8_ag0_lr0p005_m3_step40000 | tcfryjq3 | 1b7 | muonh | mxfp8 | 1,536 | 40,000 | 0.005 | 3 | 0.015 | linear | 14,718 | 147 |
runs\1b7\muonh\prom_phase1\lr0p006\lrmult3\step10000\local_tschrakb | prom_1b7_gbs1536_mxfp8_ag0_lr0p006_m3_step10000 | tschrakb | 1b7 | muonh | mxfp8 | 1,536 | 10,000 | 0.006 | 3 | 0.018 | linear | 10,000 | 100 |
runs\1b7\muonh\prom_phase1\lr0p006\lrmult3\step20000\local_3j6xireh | prom_1b7_gbs1536_mxfp8_ag0_lr0p006_m3_step20000 | 3j6xireh | 1b7 | muonh | mxfp8 | 1,536 | 20,000 | 0.006 | 3 | 0.018 | linear | 14,759 | 147 |
runs\1b7\muonh\prom_phase1\lr0p006\lrmult3\step40000\local_fqzco2qj | prom_1b7_gbs1536_mxfp8_ag0_lr0p006_m3_step40000 | fqzco2qj | 1b7 | muonh | mxfp8 | 1,536 | 40,000 | 0.006 | 3 | 0.018 | linear | 14,630 | 146 |
runs\1b7\muonh\prom_phase1\lr0p007\lrmult3\step10000\local_7mct4c5u | prom_1b7_gbs1536_mxfp8_ag0_lr0p007_m3_step10000 | 7mct4c5u | 1b7 | muonh | mxfp8 | 1,536 | 10,000 | 0.007 | 3 | 0.021 | linear | 10,000 | 100 |
runs\1b7\muonh\prom_phase1\lr0p007\lrmult3\step20000\local_69x7l5hq | prom_1b7_gbs1536_mxfp8_ag0_lr0p007_m3_step20000 | 69x7l5hq | 1b7 | muonh | mxfp8 | 1,536 | 20,000 | 0.007 | 3 | 0.021 | linear | 14,780 | 147 |
runs\1b7\muonh\prom_phase1\lr0p007\lrmult3\step40000\local_vyvyaz8l | prom_1b7_gbs1536_mxfp8_ag0_lr0p007_m3_step40000 | vyvyaz8l | 1b7 | muonh | mxfp8 | 1,536 | 40,000 | 0.007 | 3 | 0.021 | linear | 14,804 | 148 |
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End of preview.
MPL Effective LR Training Curves
This dataset contains the full normalized dataset for the mpl_eff_lr code release.
Rows in manifest: 520
The canonical directory hierarchy is:
runs/{model_size}/{optimizer}/{data_set}/lr{peak_lr}/lrmult{lr_mult}/step{target_step}/{run_token}/
meta.json
curve.csv
Other important grouping variables, including precision, global batch size,
schedule, source cluster, and validation-path alias, are stored in meta.json
and manifest.csv.
Each curve.csv has the normalized curve columns:
step,learning_rate,effective_lr_matrix,training_loss,validation_loss,consumed_samples,timestamp,source_run_key
Download into the GitHub repo layout:
hf download thu-pacman/mpl_eff_lr \
--type dataset \
--local-dir data \
--include "runs/**" \
--include "manifest.csv" \
--include "README.md"
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