Dataset Preview
Full Screen
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 'model_kwargs' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 578, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 399, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                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.ArrowNotImplementedError: Cannot write struct type 'model_kwargs' with no child field to Parquet. Consider adding a dummy child field.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1885, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 597, in finalize
                  self._build_writer(self.schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 399, in _build_writer
                  self.pa_writer = self._WRITER_CLASS(self.stream, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
                  self.writer = _parquet.ParquetWriter(
                File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
                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.ArrowNotImplementedError: Cannot write struct type 'model_kwargs' 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 1392, 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 1041, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1740, 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 1896, 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

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.

config
dict
report
dict
name
string
backend
dict
scenario
dict
launcher
dict
environment
dict
print_report
bool
log_report
bool
load
dict
prefill
dict
decode
dict
per_token
dict
{ "name": "2024-10-21-17-02-49/openvino", "backend": { "name": "openvino", "version": "2024.4.0", "_target_": "optimum_benchmark.backends.openvino.backend.OVBackend", "task": "text-generation", "library": "transformers", "model_type": "gpt2", "model": "openai-community/gpt2", "processor": "openai-community/gpt2", "device": "cpu", "device_ids": null, "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": false, "export": true, "use_cache": true, "use_merged": true, "openvino_config": {}, "half": false, "reshape": false, "quantization": false, "quantization_config": {}, "calibration": false, "calibration_config": {} }, "scenario": { "name": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 10, "duration": 10, "warmup_runs": 10, "input_shapes": { "batch_size": 2, "num_choices": 2, "sequence_length": 16 }, "new_tokens": null, "memory": true, "latency": true, "energy": false, "forward_kwargs": {}, "generate_kwargs": { "max_new_tokens": 32, "min_new_tokens": 32 }, "call_kwargs": {} }, "launcher": { "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": false, "device_isolation_action": null, "numactl": true, "numactl_kwargs": { "cpunodebind": 0, "membind": 0 }, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7R13 Processor", "cpu_count": 64, "cpu_ram_mb": 529717.02272, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.205-195.807.amzn2.x86_64-x86_64-with-glibc2.36", "processor": "", "python_version": "3.10.15", "optimum_benchmark_version": "0.5.0", "optimum_benchmark_commit": null, "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.34.2", "accelerate_commit": null, "diffusers_version": null, "diffusers_commit": null, "optimum_version": "1.22.0", "optimum_commit": null, "timm_version": null, "timm_commit": null, "peft_version": null, "peft_commit": null }, "print_report": false, "log_report": true }
{ "load": { "memory": { "unit": "MB", "max_ram": 2315.85792, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 7.028849016875029 ], "count": 1, "total": 7.028849016875029, "mean": 7.028849016875029, "p50": 7.028849016875029, "p90": 7.028849016875029, "p95": 7.028849016875029, "p99": 7.028849016875029, "stdev": 0, "stdev_": 0 }, "throughput": null, "energy": null, "efficiency": null }, "prefill": { "memory": { "unit": "MB", "max_ram": 2377.310208, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.05885552987456322, 0.02364581823348999, 0.02979157492518425, 0.081603292375803, 0.024604961276054382, 0.03558286651968956, 0.022596970200538635, 0.02347884327173233, 0.0287240631878376, 0.06448216363787651 ], "count": 10, "total": 0.39336608350276947, "mean": 0.03933660835027695, "p50": 0.029257819056510925, "p90": 0.06619427651166915, "p95": 0.07389878444373606, "p99": 0.0800623907893896, "stdev": 0.02003120241280407, "stdev_": 50.92254582406833 }, "throughput": { "unit": "tokens/s", "value": 813.4915881677609 }, "energy": null, "efficiency": null }, "decode": { "memory": { "unit": "MB", "max_ram": 2377.310208, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 1.9008748643100262, 1.5702370442450047, 1.4045211784541607, 1.5048012360930443, 1.6685373783111572, 1.6798498593270779, 1.6700320430099964, 1.3675638362765312, 1.5951625742018223, 1.6965471729636192 ], "count": 10, "total": 16.05812718719244, "mean": 1.605812718719244, "p50": 1.6318499762564898, "p90": 1.7169799420982599, "p95": 1.808927403204143, "p99": 1.8824853720888495, "stdev": 0.14754579006284801, "stdev_": 9.188231500652632 }, "throughput": { "unit": "tokens/s", "value": 38.60973280212256 }, "energy": null, "efficiency": null }, "per_token": { "memory": null, "latency": { "unit": "s", "values": [ 0.036176424473524094, 0.05428296700119972, 0.02464061602950096, 0.08513526618480682, 0.02010687068104744, 0.020006313920021057, 0.06976010277867317, 0.021404825150966644, 0.014879975467920303, 0.07643061131238937, 0.01432371512055397, 0.1944337747991085, 0.060791198164224625, 0.11901348829269409, 0.016998346894979477, 0.09148794040083885, 0.01641702651977539, 0.06851667538285255, 0.02731948345899582, 0.060079947113990784, 0.0403645858168602, 0.0627397894859314, 0.01878589391708374, 0.018383584916591644, 0.198827613145113, 0.06102588400244713, 0.020124860107898712, 0.09604520350694656, 0.18714530393481255, 0.019056327641010284, 0.08565982058644295, 0.08736962825059891, 0.01662125438451767, 0.0666731745004654, 0.023834440857172012, 0.08509980514645576, 0.03194505721330643, 0.05671308934688568, 0.023673735558986664, 0.08370515704154968, 0.016121380031108856, 0.18330584093928337, 0.016942862421274185, 0.019826151430606842, 0.06402275711297989, 0.024109169840812683, 0.02349981665611267, 0.05536828935146332, 0.0965951681137085, 0.016446467489004135, 0.019964180886745453, 0.07023829966783524, 0.018490798771381378, 0.01844802126288414, 0.08825085312128067, 0.060346346348524094, 0.02796701341867447, 0.016128692775964737, 0.09161108732223511, 0.08825647830963135, 0.016346096992492676, 0.06183292344212532, 0.08622807264328003, 0.08939162641763687, 0.01624978333711624, 0.019875366240739822, 0.0642765425145626, 0.019905708730220795, 0.02384750172495842, 0.16680911928415298, 0.017454661428928375, 0.07736801728606224, 0.08609164133667946, 0.02417011186480522, 0.016088124364614487, 0.07214627042412758, 0.01984882354736328, 0.024059448391199112, 0.05259424448013306, 0.023592565208673477, 0.018422629684209824, 0.05475291982293129, 0.09818245097994804, 0.01482165977358818, 0.018721625208854675, 0.01875666156411171, 0.06027049943804741, 0.023840509355068207, 0.0598735548555851, 0.019784022122621536, 0.01630326360464096, 0.08386922255158424, 0.016408007591962814, 0.08145488053560257, 0.01514400914311409, 0.08483690023422241, 0.03235502541065216, 0.18316690996289253, 0.016780678182840347, 0.07359784469008446, 0.019301362335681915, 0.02865409106016159, 0.15020259842276573, 0.016309525817632675, 0.02379743754863739, 0.06469862908124924, 0.02717866748571396, 0.016059957444667816, 0.0616898275911808, 0.01833246648311615, 0.019599024206399918, 0.05348118767142296, 0.03474726527929306, 0.06018758937716484, 0.023925792425870895, 0.01898156851530075, 0.06914648041129112, 0.013354502618312836, 0.018743343651294708, 0.16115761175751686, 0.01690155640244484, 0.021828006953001022, 0.05819404125213623, 0.020490460097789764, 0.08371565118432045, 0.0166214257478714, 0.06962482631206512, 0.016564153134822845, 0.02182687819004059, 0.06415772810578346, 0.019905369728803635, 0.08758079633116722, 0.014441467821598053, 0.0660480335354805, 0.023825090378522873, 0.019976232200860977, 0.14736100286245346, 0.21549655124545097, 0.02508758008480072, 0.06394831836223602, 0.19531801715493202, 0.01973665878176689, 0.020975448191165924, 0.06230177730321884, 0.017150647938251495, 0.018937837332487106, 0.06138579547405243, 0.09978949651122093, 0.016425367444753647, 0.020011935383081436, 0.0200921930372715, 0.06024748086929321, 0.019599895924329758, 0.01854591816663742, 0.06135965883731842, 0.07949794828891754, 0.06553152948617935, 0.024959489703178406, 0.08956144377589226, 0.12447753548622131, 0.06405750662088394, 0.023217380046844482, 0.02090325579047203, 0.05239633098244667, 0.21963677927851677, 0.01925045996904373, 0.08429602906107903, 0.016404889523983, 0.0660945288836956, 0.023662734776735306, 0.022025257349014282, 0.051127951592206955, 0.09856290370225906, 0.016997188329696655, 0.021547455340623856, 0.018351897597312927, 0.1449412852525711, 0.019166219979524612, 0.029609329998493195, 0.052306659519672394, 0.019531354308128357, 0.02019285410642624, 0.019346892833709717, 0.09189707785844803, 0.057242151349782944, 0.022510111331939697, 0.061612892895936966, 0.020097699016332626, 0.016806136816740036, 0.04976274073123932, 0.022699501365423203, 0.018645301461219788, 0.08746004104614258, 0.07734161987900734, 0.090744998306036, 0.219412662088871, 0.029494095593690872, 0.0793362595140934, 0.016445204615592957, 0.07349149137735367, 0.018414881080389023, 0.09930755570530891, 0.06452012434601784, 0.01846388727426529, 0.021430183202028275, 0.060364991426467896, 0.13504431024193764, 0.0675152987241745, 0.029580768197774887, 0.06766440719366074, 0.016069885343313217, 0.020411498844623566, 0.06012666970491409, 0.027205459773540497, 0.020012598484754562, 0.06250866502523422, 0.017567716538906097, 0.017949119210243225, 0.04415910318493843, 0.017150182276964188, 0.02092793583869934, 0.05154724046587944, 0.01663682982325554, 0.035442836582660675, 0.08005334809422493, 0.016321904957294464, 0.06007276847958565, 0.02007818967103958, 0.0227806456387043, 0.05317587032914162, 0.043545328080654144, 0.0522884801030159, 0.01854587346315384, 0.08510943129658699, 0.014439847320318222, 0.024514853954315186, 0.05818137899041176, 0.01931953802704811, 0.01923982799053192, 0.06838909909129143, 0.19146821647882462, 0.019697070121765137, 0.0273909792304039, 0.06459451466798782, 0.09649816900491714, 0.015466634184122086, 0.020998533815145493, 0.07105062529444695, 0.05960690975189209, 0.016850106418132782, 0.019021283835172653, 0.06036694720387459, 0.024242423474788666, 0.022064629942178726, 0.062265634536743164, 0.09091807901859283, 0.01966267079114914, 0.01854228973388672, 0.0856449231505394, 0.014919143170118332, 0.10112086683511734, 0.08424531295895576, 0.016448576003313065, 0.10723071917891502, 0.058740418404340744, 0.021799985319375992, 0.023913100361824036, 0.056245073676109314, 0.2209479622542858, 0.019006289541721344, 0.06391571462154388, 0.023955032229423523, 0.09148820862174034, 0.01675424352288246, 0.07108772546052933, 0.02404189109802246, 0.06105734407901764, 0.019740786403417587, 0.01877014711499214, 0.020291924476623535, 0.10648790001869202, 0.014973364770412445, 0.06640227511525154, 0.0878971628844738, 0.1353103555738926, 0.06469268351793289, 0.020083896815776825, 0.020029433071613312, 0.062288060784339905, 0.1015404723584652, 0.01956021413207054, 0.17987413331866264, 0.016679774969816208, 0.08370039239525795, 0.024614591151475906, 0.022093791514635086, 0.06377182528376579, 0.02155681699514389, 0.08370539173483849, 0.016545671969652176, 0.11255328729748726, 0.06365567073225975, 0.014998208731412888, 0.08454111218452454, 0.014412760734558105, 0.023259207606315613, 0.0602559819817543, 0.018257364630699158, 0.02027173712849617, 0.05169415846467018 ], "count": 310, "total": 16.052994020283222, "mean": 0.05178385167833297, "p50": 0.02907409332692623, "p90": 0.09650786891579628, "p95": 0.14627212993800642, "p99": 0.21399634681642096, "stdev": 0.043476343631525236, "stdev_": 83.95733847993446 }, "throughput": { "unit": "tokens/s", "value": 38.62207879829892 }, "energy": null, "efficiency": null } }
null
null
null
null
null
null
null
null
null
null
null
null
null
2024-10-21-17-02-49/openvino
{ "name": "openvino", "version": "2024.4.0", "_target_": "optimum_benchmark.backends.openvino.backend.OVBackend", "task": "text-generation", "library": "transformers", "model_type": "gpt2", "model": "openai-community/gpt2", "processor": "openai-community/gpt2", "device": "cpu", "device_ids": null, "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": false, "export": true, "use_cache": true, "use_merged": true, "openvino_config": {}, "half": false, "reshape": false, "quantization": false, "quantization_config": {}, "calibration": false, "calibration_config": {} }
{ "name": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 10, "duration": 10, "warmup_runs": 10, "input_shapes": { "batch_size": 2, "num_choices": 2, "sequence_length": 16 }, "new_tokens": null, "memory": true, "latency": true, "energy": false, "forward_kwargs": {}, "generate_kwargs": { "max_new_tokens": 32, "min_new_tokens": 32 }, "call_kwargs": {} }
{ "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": false, "device_isolation_action": null, "numactl": true, "numactl_kwargs": { "cpunodebind": 0, "membind": 0 }, "start_method": "spawn" }
{ "cpu": " AMD EPYC 7R13 Processor", "cpu_count": 64, "cpu_ram_mb": 529717.02272, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.205-195.807.amzn2.x86_64-x86_64-with-glibc2.36", "processor": "", "python_version": "3.10.15", "optimum_benchmark_version": "0.5.0", "optimum_benchmark_commit": null, "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.34.2", "accelerate_commit": null, "diffusers_version": null, "diffusers_commit": null, "optimum_version": "1.22.0", "optimum_commit": null, "timm_version": null, "timm_commit": null, "peft_version": null, "peft_commit": null }
false
true
null
null
null
null
null
null
null
null
null
null
null
null
null
{ "memory": { "unit": "MB", "max_ram": 2315.85792, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 7.028849016875029 ], "count": 1, "total": 7.028849016875029, "mean": 7.028849016875029, "p50": 7.028849016875029, "p90": 7.028849016875029, "p95": 7.028849016875029, "p99": 7.028849016875029, "stdev": 0, "stdev_": 0 }, "throughput": null, "energy": null, "efficiency": null }
{ "memory": { "unit": "MB", "max_ram": 2377.310208, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.05885552987456322, 0.02364581823348999, 0.02979157492518425, 0.081603292375803, 0.024604961276054382, 0.03558286651968956, 0.022596970200538635, 0.02347884327173233, 0.0287240631878376, 0.06448216363787651 ], "count": 10, "total": 0.39336608350276947, "mean": 0.03933660835027695, "p50": 0.029257819056510925, "p90": 0.06619427651166915, "p95": 0.07389878444373606, "p99": 0.0800623907893896, "stdev": 0.02003120241280407, "stdev_": 50.92254582406833 }, "throughput": { "unit": "tokens/s", "value": 813.4915881677609 }, "energy": null, "efficiency": null }
{ "memory": { "unit": "MB", "max_ram": 2377.310208, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 1.9008748643100262, 1.5702370442450047, 1.4045211784541607, 1.5048012360930443, 1.6685373783111572, 1.6798498593270779, 1.6700320430099964, 1.3675638362765312, 1.5951625742018223, 1.6965471729636192 ], "count": 10, "total": 16.05812718719244, "mean": 1.605812718719244, "p50": 1.6318499762564898, "p90": 1.7169799420982599, "p95": 1.808927403204143, "p99": 1.8824853720888495, "stdev": 0.14754579006284801, "stdev_": 9.188231500652632 }, "throughput": { "unit": "tokens/s", "value": 38.60973280212256 }, "energy": null, "efficiency": null }
{ "memory": null, "latency": { "unit": "s", "values": [ 0.036176424473524094, 0.05428296700119972, 0.02464061602950096, 0.08513526618480682, 0.02010687068104744, 0.020006313920021057, 0.06976010277867317, 0.021404825150966644, 0.014879975467920303, 0.07643061131238937, 0.01432371512055397, 0.1944337747991085, 0.060791198164224625, 0.11901348829269409, 0.016998346894979477, 0.09148794040083885, 0.01641702651977539, 0.06851667538285255, 0.02731948345899582, 0.060079947113990784, 0.0403645858168602, 0.0627397894859314, 0.01878589391708374, 0.018383584916591644, 0.198827613145113, 0.06102588400244713, 0.020124860107898712, 0.09604520350694656, 0.18714530393481255, 0.019056327641010284, 0.08565982058644295, 0.08736962825059891, 0.01662125438451767, 0.0666731745004654, 0.023834440857172012, 0.08509980514645576, 0.03194505721330643, 0.05671308934688568, 0.023673735558986664, 0.08370515704154968, 0.016121380031108856, 0.18330584093928337, 0.016942862421274185, 0.019826151430606842, 0.06402275711297989, 0.024109169840812683, 0.02349981665611267, 0.05536828935146332, 0.0965951681137085, 0.016446467489004135, 0.019964180886745453, 0.07023829966783524, 0.018490798771381378, 0.01844802126288414, 0.08825085312128067, 0.060346346348524094, 0.02796701341867447, 0.016128692775964737, 0.09161108732223511, 0.08825647830963135, 0.016346096992492676, 0.06183292344212532, 0.08622807264328003, 0.08939162641763687, 0.01624978333711624, 0.019875366240739822, 0.0642765425145626, 0.019905708730220795, 0.02384750172495842, 0.16680911928415298, 0.017454661428928375, 0.07736801728606224, 0.08609164133667946, 0.02417011186480522, 0.016088124364614487, 0.07214627042412758, 0.01984882354736328, 0.024059448391199112, 0.05259424448013306, 0.023592565208673477, 0.018422629684209824, 0.05475291982293129, 0.09818245097994804, 0.01482165977358818, 0.018721625208854675, 0.01875666156411171, 0.06027049943804741, 0.023840509355068207, 0.0598735548555851, 0.019784022122621536, 0.01630326360464096, 0.08386922255158424, 0.016408007591962814, 0.08145488053560257, 0.01514400914311409, 0.08483690023422241, 0.03235502541065216, 0.18316690996289253, 0.016780678182840347, 0.07359784469008446, 0.019301362335681915, 0.02865409106016159, 0.15020259842276573, 0.016309525817632675, 0.02379743754863739, 0.06469862908124924, 0.02717866748571396, 0.016059957444667816, 0.0616898275911808, 0.01833246648311615, 0.019599024206399918, 0.05348118767142296, 0.03474726527929306, 0.06018758937716484, 0.023925792425870895, 0.01898156851530075, 0.06914648041129112, 0.013354502618312836, 0.018743343651294708, 0.16115761175751686, 0.01690155640244484, 0.021828006953001022, 0.05819404125213623, 0.020490460097789764, 0.08371565118432045, 0.0166214257478714, 0.06962482631206512, 0.016564153134822845, 0.02182687819004059, 0.06415772810578346, 0.019905369728803635, 0.08758079633116722, 0.014441467821598053, 0.0660480335354805, 0.023825090378522873, 0.019976232200860977, 0.14736100286245346, 0.21549655124545097, 0.02508758008480072, 0.06394831836223602, 0.19531801715493202, 0.01973665878176689, 0.020975448191165924, 0.06230177730321884, 0.017150647938251495, 0.018937837332487106, 0.06138579547405243, 0.09978949651122093, 0.016425367444753647, 0.020011935383081436, 0.0200921930372715, 0.06024748086929321, 0.019599895924329758, 0.01854591816663742, 0.06135965883731842, 0.07949794828891754, 0.06553152948617935, 0.024959489703178406, 0.08956144377589226, 0.12447753548622131, 0.06405750662088394, 0.023217380046844482, 0.02090325579047203, 0.05239633098244667, 0.21963677927851677, 0.01925045996904373, 0.08429602906107903, 0.016404889523983, 0.0660945288836956, 0.023662734776735306, 0.022025257349014282, 0.051127951592206955, 0.09856290370225906, 0.016997188329696655, 0.021547455340623856, 0.018351897597312927, 0.1449412852525711, 0.019166219979524612, 0.029609329998493195, 0.052306659519672394, 0.019531354308128357, 0.02019285410642624, 0.019346892833709717, 0.09189707785844803, 0.057242151349782944, 0.022510111331939697, 0.061612892895936966, 0.020097699016332626, 0.016806136816740036, 0.04976274073123932, 0.022699501365423203, 0.018645301461219788, 0.08746004104614258, 0.07734161987900734, 0.090744998306036, 0.219412662088871, 0.029494095593690872, 0.0793362595140934, 0.016445204615592957, 0.07349149137735367, 0.018414881080389023, 0.09930755570530891, 0.06452012434601784, 0.01846388727426529, 0.021430183202028275, 0.060364991426467896, 0.13504431024193764, 0.0675152987241745, 0.029580768197774887, 0.06766440719366074, 0.016069885343313217, 0.020411498844623566, 0.06012666970491409, 0.027205459773540497, 0.020012598484754562, 0.06250866502523422, 0.017567716538906097, 0.017949119210243225, 0.04415910318493843, 0.017150182276964188, 0.02092793583869934, 0.05154724046587944, 0.01663682982325554, 0.035442836582660675, 0.08005334809422493, 0.016321904957294464, 0.06007276847958565, 0.02007818967103958, 0.0227806456387043, 0.05317587032914162, 0.043545328080654144, 0.0522884801030159, 0.01854587346315384, 0.08510943129658699, 0.014439847320318222, 0.024514853954315186, 0.05818137899041176, 0.01931953802704811, 0.01923982799053192, 0.06838909909129143, 0.19146821647882462, 0.019697070121765137, 0.0273909792304039, 0.06459451466798782, 0.09649816900491714, 0.015466634184122086, 0.020998533815145493, 0.07105062529444695, 0.05960690975189209, 0.016850106418132782, 0.019021283835172653, 0.06036694720387459, 0.024242423474788666, 0.022064629942178726, 0.062265634536743164, 0.09091807901859283, 0.01966267079114914, 0.01854228973388672, 0.0856449231505394, 0.014919143170118332, 0.10112086683511734, 0.08424531295895576, 0.016448576003313065, 0.10723071917891502, 0.058740418404340744, 0.021799985319375992, 0.023913100361824036, 0.056245073676109314, 0.2209479622542858, 0.019006289541721344, 0.06391571462154388, 0.023955032229423523, 0.09148820862174034, 0.01675424352288246, 0.07108772546052933, 0.02404189109802246, 0.06105734407901764, 0.019740786403417587, 0.01877014711499214, 0.020291924476623535, 0.10648790001869202, 0.014973364770412445, 0.06640227511525154, 0.0878971628844738, 0.1353103555738926, 0.06469268351793289, 0.020083896815776825, 0.020029433071613312, 0.062288060784339905, 0.1015404723584652, 0.01956021413207054, 0.17987413331866264, 0.016679774969816208, 0.08370039239525795, 0.024614591151475906, 0.022093791514635086, 0.06377182528376579, 0.02155681699514389, 0.08370539173483849, 0.016545671969652176, 0.11255328729748726, 0.06365567073225975, 0.014998208731412888, 0.08454111218452454, 0.014412760734558105, 0.023259207606315613, 0.0602559819817543, 0.018257364630699158, 0.02027173712849617, 0.05169415846467018 ], "count": 310, "total": 16.052994020283222, "mean": 0.05178385167833297, "p50": 0.02907409332692623, "p90": 0.09650786891579628, "p95": 0.14627212993800642, "p99": 0.21399634681642096, "stdev": 0.043476343631525236, "stdev_": 83.95733847993446 }, "throughput": { "unit": "tokens/s", "value": 38.62207879829892 }, "energy": null, "efficiency": null }
{ "name": "2024-10-21-17-02-49/pytorch", "backend": { "name": "pytorch", "version": "2.4.1", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-generation", "library": "transformers", "model_type": "gpt2", "model": "openai-community/gpt2", "processor": "openai-community/gpt2", "device": "cpu", "device_ids": null, "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": false, "device_map": null, "torch_dtype": "float32", "eval_mode": true, "to_bettertransformer": false, "low_cpu_mem_usage": null, "attn_implementation": null, "cache_implementation": null, "autocast_enabled": false, "autocast_dtype": null, "torch_compile": false, "torch_compile_target": "forward", "torch_compile_config": {}, "quantization_scheme": null, "quantization_config": {}, "deepspeed_inference": false, "deepspeed_inference_config": {}, "peft_type": null, "peft_config": {} }, "scenario": { "name": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 10, "duration": 10, "warmup_runs": 10, "input_shapes": { "batch_size": 2, "num_choices": 2, "sequence_length": 16 }, "new_tokens": null, "memory": true, "latency": true, "energy": false, "forward_kwargs": {}, "generate_kwargs": { "max_new_tokens": 32, "min_new_tokens": 32 }, "call_kwargs": {} }, "launcher": { "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": false, "device_isolation_action": null, "numactl": true, "numactl_kwargs": { "cpunodebind": 0, "membind": 0 }, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7R13 Processor", "cpu_count": 64, "cpu_ram_mb": 529717.02272, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.205-195.807.amzn2.x86_64-x86_64-with-glibc2.36", "processor": "", "python_version": "3.10.15", "optimum_benchmark_version": "0.5.0", "optimum_benchmark_commit": null, "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.34.2", "accelerate_commit": null, "diffusers_version": null, "diffusers_commit": null, "optimum_version": "1.22.0", "optimum_commit": null, "timm_version": null, "timm_commit": null, "peft_version": null, "peft_commit": null }, "print_report": false, "log_report": true }
{ "load": { "memory": { "unit": "MB", "max_ram": 1511.952384, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 1.6824433393776417 ], "count": 1, "total": 1.6824433393776417, "mean": 1.6824433393776417, "p50": 1.6824433393776417, "p90": 1.6824433393776417, "p95": 1.6824433393776417, "p99": 1.6824433393776417, "stdev": 0, "stdev_": 0 }, "throughput": null, "energy": null, "efficiency": null }, "prefill": { "memory": { "unit": "MB", "max_ram": 1607.860224, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.11356927827000618, 0.12102339044213295, 0.17740445584058762, 0.12898390367627144, 0.12069202959537506, 0.17938660830259323, 0.12032097578048706, 0.12909867987036705, 0.16880978643894196, 0.1704593002796173 ], "count": 10, "total": 1.4297484084963799, "mean": 0.142974840849638, "p50": 0.12904129177331924, "p90": 0.17760267108678818, "p95": 0.1784946396946907, "p99": 0.17920821458101271, "stdev": 0.025843033593847917, "stdev_": 18.07523158639232 }, "throughput": { "unit": "tokens/s", "value": 223.8156014711243 }, "energy": null, "efficiency": null }, "decode": { "memory": { "unit": "MB", "max_ram": 1608.192, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 2.003968395292759, 1.99579543992877, 1.9997130669653416, 2.0577770359814167, 2.002662528306246, 1.9959323331713676, 1.9956984110176563, 1.9877891093492508, 1.9437489062547684, 1.9966221041977406 ], "count": 10, "total": 19.979707330465317, "mean": 1.9979707330465317, "p50": 1.996277218684554, "p90": 2.009349259361625, "p95": 2.033563147671521, "p99": 2.0529342583194374, "stdev": 0.025879249750573787, "stdev_": 1.295276718649065 }, "throughput": { "unit": "tokens/s", "value": 31.031485584106427 }, "energy": null, "efficiency": null }, "per_token": { "memory": null, "latency": { "unit": "s", "values": [ 0.08290493860840797, 0.029768113046884537, 0.08687425404787064, 0.02995363250374794, 0.07877011969685555, 0.08731310814619064, 0.030303150415420532, 0.0795217789709568, 0.08783405274152756, 0.030614882707595825, 0.07916086539626122, 0.08686229214072227, 0.030553389340639114, 0.0792069211602211, 0.086700938642025, 0.030286431312561035, 0.08023051917552948, 0.08692965283989906, 0.030506007373332977, 0.07954404130578041, 0.03117005154490471, 0.08802908658981323, 0.07969382405281067, 0.030377954244613647, 0.08688848465681076, 0.07893484830856323, 0.030035004019737244, 0.08739648759365082, 0.07898245379328728, 0.030569743365049362, 0.08748139441013336, 0.08720375597476959, 0.07930684834718704, 0.03003791719675064, 0.08707630634307861, 0.0779709741473198, 0.029767539352178574, 0.08651818707585335, 0.029979880899190903, 0.07837695255875587, 0.08719000965356827, 0.029964357614517212, 0.07853163778781891, 0.08769164234399796, 0.030194584280252457, 0.07925865799188614, 0.08732463419437408, 0.030628014355897903, 0.0792209841310978, 0.0856688842177391, 0.030306946486234665, 0.07938256859779358, 0.08724340423941612, 0.030177336186170578, 0.08117293566465378, 0.08820676058530807, 0.03051135689020157, 0.07929281145334244, 0.030114222317934036, 0.08731184527277946, 0.07917311415076256, 0.030417781323194504, 0.08629284054040909, 0.030060309916734695, 0.07856028154492378, 0.029982127249240875, 0.08629709482192993, 0.08167045935988426, 0.030002914369106293, 0.08692952245473862, 0.07855475321412086, 0.03024846687912941, 0.08675124868750572, 0.02980988100171089, 0.0783306434750557, 0.08686115965247154, 0.030309975147247314, 0.08038786426186562, 0.0886889360845089, 0.030641652643680573, 0.07971063628792763, 0.08724543079733849, 0.030308179557323456, 0.07917986437678337, 0.08771225437521935, 0.031097538769245148, 0.07969512417912483, 0.0873819962143898, 0.030842453241348267, 0.07923725619912148, 0.08584609627723694, 0.03114262968301773, 0.07933365553617477, 0.07954621315002441, 0.08699578046798706, 0.030185505747795105, 0.07905017212033272, 0.08748038858175278, 0.03184349834918976, 0.0800260566174984, 0.0873182825744152, 0.030915815383195877, 0.07943721860647202, 0.08623646199703217, 0.03124794363975525, 0.07934311404824257, 0.03690690919756889, 0.07905439287424088, 0.07919153571128845, 0.030887730419635773, 0.08812009915709496, 0.07986462488770485, 0.03187134489417076, 0.08786103129386902, 0.07940198108553886, 0.0318022258579731, 0.08803275227546692, 0.07987315952777863, 0.030230648815631866, 0.08732926845550537, 0.07893716543912888, 0.031017296016216278, 0.08815096691250801, 0.07903868332505226, 0.08737840875983238, 0.029742710292339325, 0.0789823979139328, 0.0855221338570118, 0.029834691435098648, 0.0783546008169651, 0.02991395816206932, 0.08675343915820122, 0.07866501063108444, 0.029960516840219498, 0.08699065446853638, 0.07840747386217117, 0.02972714975476265, 0.08706442266702652, 0.029849741607904434, 0.0785021223127842, 0.0864981971681118, 0.030232835561037064, 0.08035014197230339, 0.08821791410446167, 0.03116045519709587, 0.08355510979890823, 0.08799733594059944, 0.030904293060302734, 0.08000020310282707, 0.08788298442959785, 0.030625533312559128, 0.07993805781006813, 0.08801978453993797, 0.03132043033838272, 0.07973895967006683, 0.03054724633693695, 0.08731510490179062, 0.07880424708127975, 0.032222680747509, 0.08731842413544655, 0.07901722192764282, 0.03086073324084282, 0.08730969205498695, 0.030536796897649765, 0.0789499506354332, 0.08745970949530602, 0.030350439250469208, 0.07874463871121407, 0.08698621019721031, 0.029977574944496155, 0.0795634314417839, 0.0866161435842514, 0.03001048043370247, 0.0784013606607914, 0.08582095056772232, 0.030003368854522705, 0.07894011959433556, 0.030307583510875702, 0.08764849603176117, 0.07853236794471741, 0.029854703694581985, 0.08743537962436676, 0.07888195663690567, 0.030176900327205658, 0.08757654950022697, 0.07885708659887314, 0.08741167560219765, 0.03005054220557213, 0.07889170572161674, 0.0855594091117382, 0.029977966099977493, 0.07899346202611923, 0.03016415238380432, 0.08618698641657829, 0.0784686841070652, 0.02999270334839821, 0.08749986067414284, 0.07894236221909523, 0.030670788139104843, 0.08774841204285622, 0.07908780872821808, 0.030093010514974594, 0.0870266929268837, 0.030419915914535522, 0.07873887568712234, 0.08668454363942146, 0.030091028660535812, 0.07879319041967392, 0.08715524151921272, 0.030114606022834778, 0.08289114013314247, 0.08667659759521484, 0.030603285878896713, 0.07916923239827156, 0.08658843114972115, 0.03079453483223915, 0.07964383810758591, 0.07865237444639206, 0.08655481413006783, 0.02999911457300186, 0.07880894839763641, 0.08662855625152588, 0.029709503054618835, 0.07869342342019081, 0.03609725087881088, 0.0786292776465416, 0.07863548398017883, 0.03002322092652321, 0.08683636412024498, 0.07837329059839249, 0.029871869832277298, 0.08657090365886688, 0.030100088566541672, 0.07891098782420158, 0.08725613355636597, 0.030206460505723953, 0.07921726629137993, 0.08741254732012749, 0.03001110628247261, 0.07912136614322662, 0.08734156936407089, 0.0299556702375412, 0.07879934832453728, 0.08639783039689064, 0.030215512961149216, 0.08374343067407608, 0.08407200500369072, 0.03037494421005249, 0.030978109687566757, 0.08719741553068161, 0.029958996921777725, 0.0788278877735138, 0.08679919689893723, 0.03013148158788681, 0.07876430824398994, 0.08646280318498611, 0.029811915010213852, 0.07895421981811523, 0.08696038648486137, 0.031066812574863434, 0.07892268151044846, 0.08609519898891449, 0.02981487289071083, 0.0792936161160469, 0.030287284404039383, 0.0870140790939331, 0.07865964248776436, 0.03012550249695778, 0.08696513995528221, 0.0784844309091568, 0.029944688081741333, 0.086761474609375, 0.07896649464964867, 0.03031099960207939, 0.08786065503954887, 0.030277341604232788, 0.07935434579849243, 0.08759656175971031, 0.030528832226991653, 0.08571954816579819, 0.029911436140537262, 0.07833398878574371, 0.029860004782676697, 0.08652855828404427, 0.07841072604060173, 0.030123412609100342, 0.08655818551778793, 0.07855880260467529, 0.03036956489086151, 0.08715884387493134, 0.030181337147951126, 0.07853639498353004, 0.08769216015934944, 0.03001139685511589, 0.08302642032504082, 0.08739649876952171, 0.03041168302297592, 0.07898931205272675, 0.08745930716395378, 0.030811142176389694, 0.07905949652194977, 0.08724984526634216, 0.02985016629099846, 0.08056964725255966, 0.08694979920983315, 0.031596966087818146, 0.0788983553647995, 0.08599378913640976, 0.030666440725326538, 0.07916632294654846 ], "count": 310, "total": 19.973630283027887, "mean": 0.06443106542912222, "p50": 0.07896035723388195, "p90": 0.08737876750528813, "p95": 0.08769192714244127, "p99": 0.08814818881452084, "stdev": 0.025390094743037318, "stdev_": 39.4066039012933 }, "throughput": { "unit": "tokens/s", "value": 31.040927023007434 }, "energy": null, "efficiency": null } }
null
null
null
null
null
null
null
null
null
null
null
null
null
2024-10-21-17-02-49/pytorch
{ "name": "pytorch", "version": "2.4.1", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-generation", "library": "transformers", "model_type": "gpt2", "model": "openai-community/gpt2", "processor": "openai-community/gpt2", "device": "cpu", "device_ids": null, "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": false, "device_map": null, "torch_dtype": "float32", "eval_mode": true, "to_bettertransformer": false, "low_cpu_mem_usage": null, "attn_implementation": null, "cache_implementation": null, "autocast_enabled": false, "autocast_dtype": null, "torch_compile": false, "torch_compile_target": "forward", "torch_compile_config": {}, "quantization_scheme": null, "quantization_config": {}, "deepspeed_inference": false, "deepspeed_inference_config": {}, "peft_type": null, "peft_config": {} }
{ "name": "inference", "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", "iterations": 10, "duration": 10, "warmup_runs": 10, "input_shapes": { "batch_size": 2, "num_choices": 2, "sequence_length": 16 }, "new_tokens": null, "memory": true, "latency": true, "energy": false, "forward_kwargs": {}, "generate_kwargs": { "max_new_tokens": 32, "min_new_tokens": 32 }, "call_kwargs": {} }
{ "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": false, "device_isolation_action": null, "numactl": true, "numactl_kwargs": { "cpunodebind": 0, "membind": 0 }, "start_method": "spawn" }
{ "cpu": " AMD EPYC 7R13 Processor", "cpu_count": 64, "cpu_ram_mb": 529717.02272, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.205-195.807.amzn2.x86_64-x86_64-with-glibc2.36", "processor": "", "python_version": "3.10.15", "optimum_benchmark_version": "0.5.0", "optimum_benchmark_commit": null, "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.34.2", "accelerate_commit": null, "diffusers_version": null, "diffusers_commit": null, "optimum_version": "1.22.0", "optimum_commit": null, "timm_version": null, "timm_commit": null, "peft_version": null, "peft_commit": null }
false
true
null
null
null
null
null
null
null
null
null
null
null
null
null
{ "memory": { "unit": "MB", "max_ram": 1511.952384, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 1.6824433393776417 ], "count": 1, "total": 1.6824433393776417, "mean": 1.6824433393776417, "p50": 1.6824433393776417, "p90": 1.6824433393776417, "p95": 1.6824433393776417, "p99": 1.6824433393776417, "stdev": 0, "stdev_": 0 }, "throughput": null, "energy": null, "efficiency": null }
{ "memory": { "unit": "MB", "max_ram": 1607.860224, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.11356927827000618, 0.12102339044213295, 0.17740445584058762, 0.12898390367627144, 0.12069202959537506, 0.17938660830259323, 0.12032097578048706, 0.12909867987036705, 0.16880978643894196, 0.1704593002796173 ], "count": 10, "total": 1.4297484084963799, "mean": 0.142974840849638, "p50": 0.12904129177331924, "p90": 0.17760267108678818, "p95": 0.1784946396946907, "p99": 0.17920821458101271, "stdev": 0.025843033593847917, "stdev_": 18.07523158639232 }, "throughput": { "unit": "tokens/s", "value": 223.8156014711243 }, "energy": null, "efficiency": null }
{ "memory": { "unit": "MB", "max_ram": 1608.192, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 2.003968395292759, 1.99579543992877, 1.9997130669653416, 2.0577770359814167, 2.002662528306246, 1.9959323331713676, 1.9956984110176563, 1.9877891093492508, 1.9437489062547684, 1.9966221041977406 ], "count": 10, "total": 19.979707330465317, "mean": 1.9979707330465317, "p50": 1.996277218684554, "p90": 2.009349259361625, "p95": 2.033563147671521, "p99": 2.0529342583194374, "stdev": 0.025879249750573787, "stdev_": 1.295276718649065 }, "throughput": { "unit": "tokens/s", "value": 31.031485584106427 }, "energy": null, "efficiency": null }
{ "memory": null, "latency": { "unit": "s", "values": [ 0.08290493860840797, 0.029768113046884537, 0.08687425404787064, 0.02995363250374794, 0.07877011969685555, 0.08731310814619064, 0.030303150415420532, 0.0795217789709568, 0.08783405274152756, 0.030614882707595825, 0.07916086539626122, 0.08686229214072227, 0.030553389340639114, 0.0792069211602211, 0.086700938642025, 0.030286431312561035, 0.08023051917552948, 0.08692965283989906, 0.030506007373332977, 0.07954404130578041, 0.03117005154490471, 0.08802908658981323, 0.07969382405281067, 0.030377954244613647, 0.08688848465681076, 0.07893484830856323, 0.030035004019737244, 0.08739648759365082, 0.07898245379328728, 0.030569743365049362, 0.08748139441013336, 0.08720375597476959, 0.07930684834718704, 0.03003791719675064, 0.08707630634307861, 0.0779709741473198, 0.029767539352178574, 0.08651818707585335, 0.029979880899190903, 0.07837695255875587, 0.08719000965356827, 0.029964357614517212, 0.07853163778781891, 0.08769164234399796, 0.030194584280252457, 0.07925865799188614, 0.08732463419437408, 0.030628014355897903, 0.0792209841310978, 0.0856688842177391, 0.030306946486234665, 0.07938256859779358, 0.08724340423941612, 0.030177336186170578, 0.08117293566465378, 0.08820676058530807, 0.03051135689020157, 0.07929281145334244, 0.030114222317934036, 0.08731184527277946, 0.07917311415076256, 0.030417781323194504, 0.08629284054040909, 0.030060309916734695, 0.07856028154492378, 0.029982127249240875, 0.08629709482192993, 0.08167045935988426, 0.030002914369106293, 0.08692952245473862, 0.07855475321412086, 0.03024846687912941, 0.08675124868750572, 0.02980988100171089, 0.0783306434750557, 0.08686115965247154, 0.030309975147247314, 0.08038786426186562, 0.0886889360845089, 0.030641652643680573, 0.07971063628792763, 0.08724543079733849, 0.030308179557323456, 0.07917986437678337, 0.08771225437521935, 0.031097538769245148, 0.07969512417912483, 0.0873819962143898, 0.030842453241348267, 0.07923725619912148, 0.08584609627723694, 0.03114262968301773, 0.07933365553617477, 0.07954621315002441, 0.08699578046798706, 0.030185505747795105, 0.07905017212033272, 0.08748038858175278, 0.03184349834918976, 0.0800260566174984, 0.0873182825744152, 0.030915815383195877, 0.07943721860647202, 0.08623646199703217, 0.03124794363975525, 0.07934311404824257, 0.03690690919756889, 0.07905439287424088, 0.07919153571128845, 0.030887730419635773, 0.08812009915709496, 0.07986462488770485, 0.03187134489417076, 0.08786103129386902, 0.07940198108553886, 0.0318022258579731, 0.08803275227546692, 0.07987315952777863, 0.030230648815631866, 0.08732926845550537, 0.07893716543912888, 0.031017296016216278, 0.08815096691250801, 0.07903868332505226, 0.08737840875983238, 0.029742710292339325, 0.0789823979139328, 0.0855221338570118, 0.029834691435098648, 0.0783546008169651, 0.02991395816206932, 0.08675343915820122, 0.07866501063108444, 0.029960516840219498, 0.08699065446853638, 0.07840747386217117, 0.02972714975476265, 0.08706442266702652, 0.029849741607904434, 0.0785021223127842, 0.0864981971681118, 0.030232835561037064, 0.08035014197230339, 0.08821791410446167, 0.03116045519709587, 0.08355510979890823, 0.08799733594059944, 0.030904293060302734, 0.08000020310282707, 0.08788298442959785, 0.030625533312559128, 0.07993805781006813, 0.08801978453993797, 0.03132043033838272, 0.07973895967006683, 0.03054724633693695, 0.08731510490179062, 0.07880424708127975, 0.032222680747509, 0.08731842413544655, 0.07901722192764282, 0.03086073324084282, 0.08730969205498695, 0.030536796897649765, 0.0789499506354332, 0.08745970949530602, 0.030350439250469208, 0.07874463871121407, 0.08698621019721031, 0.029977574944496155, 0.0795634314417839, 0.0866161435842514, 0.03001048043370247, 0.0784013606607914, 0.08582095056772232, 0.030003368854522705, 0.07894011959433556, 0.030307583510875702, 0.08764849603176117, 0.07853236794471741, 0.029854703694581985, 0.08743537962436676, 0.07888195663690567, 0.030176900327205658, 0.08757654950022697, 0.07885708659887314, 0.08741167560219765, 0.03005054220557213, 0.07889170572161674, 0.0855594091117382, 0.029977966099977493, 0.07899346202611923, 0.03016415238380432, 0.08618698641657829, 0.0784686841070652, 0.02999270334839821, 0.08749986067414284, 0.07894236221909523, 0.030670788139104843, 0.08774841204285622, 0.07908780872821808, 0.030093010514974594, 0.0870266929268837, 0.030419915914535522, 0.07873887568712234, 0.08668454363942146, 0.030091028660535812, 0.07879319041967392, 0.08715524151921272, 0.030114606022834778, 0.08289114013314247, 0.08667659759521484, 0.030603285878896713, 0.07916923239827156, 0.08658843114972115, 0.03079453483223915, 0.07964383810758591, 0.07865237444639206, 0.08655481413006783, 0.02999911457300186, 0.07880894839763641, 0.08662855625152588, 0.029709503054618835, 0.07869342342019081, 0.03609725087881088, 0.0786292776465416, 0.07863548398017883, 0.03002322092652321, 0.08683636412024498, 0.07837329059839249, 0.029871869832277298, 0.08657090365886688, 0.030100088566541672, 0.07891098782420158, 0.08725613355636597, 0.030206460505723953, 0.07921726629137993, 0.08741254732012749, 0.03001110628247261, 0.07912136614322662, 0.08734156936407089, 0.0299556702375412, 0.07879934832453728, 0.08639783039689064, 0.030215512961149216, 0.08374343067407608, 0.08407200500369072, 0.03037494421005249, 0.030978109687566757, 0.08719741553068161, 0.029958996921777725, 0.0788278877735138, 0.08679919689893723, 0.03013148158788681, 0.07876430824398994, 0.08646280318498611, 0.029811915010213852, 0.07895421981811523, 0.08696038648486137, 0.031066812574863434, 0.07892268151044846, 0.08609519898891449, 0.02981487289071083, 0.0792936161160469, 0.030287284404039383, 0.0870140790939331, 0.07865964248776436, 0.03012550249695778, 0.08696513995528221, 0.0784844309091568, 0.029944688081741333, 0.086761474609375, 0.07896649464964867, 0.03031099960207939, 0.08786065503954887, 0.030277341604232788, 0.07935434579849243, 0.08759656175971031, 0.030528832226991653, 0.08571954816579819, 0.029911436140537262, 0.07833398878574371, 0.029860004782676697, 0.08652855828404427, 0.07841072604060173, 0.030123412609100342, 0.08655818551778793, 0.07855880260467529, 0.03036956489086151, 0.08715884387493134, 0.030181337147951126, 0.07853639498353004, 0.08769216015934944, 0.03001139685511589, 0.08302642032504082, 0.08739649876952171, 0.03041168302297592, 0.07898931205272675, 0.08745930716395378, 0.030811142176389694, 0.07905949652194977, 0.08724984526634216, 0.02985016629099846, 0.08056964725255966, 0.08694979920983315, 0.031596966087818146, 0.0788983553647995, 0.08599378913640976, 0.030666440725326538, 0.07916632294654846 ], "count": 310, "total": 19.973630283027887, "mean": 0.06443106542912222, "p50": 0.07896035723388195, "p90": 0.08737876750528813, "p95": 0.08769192714244127, "p99": 0.08814818881452084, "stdev": 0.025390094743037318, "stdev_": 39.4066039012933 }, "throughput": { "unit": "tokens/s", "value": 31.040927023007434 }, "energy": null, "efficiency": null }

No dataset card yet

New: Create and edit this dataset card directly on the website!

Contribute a Dataset Card
Downloads last month
9